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Abstract Topic: Electrical Engineering and Computer Science

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Accelerometer Sensor Data Analysis of Bridge Structural Health Monitoring System
Anindya Ananda Hapsari1, Eko Supriyanto2, Abu Hasan3, Amin Suharjono4

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Corresponding Author
Wimba Zainrona

Institutions
1School of Graduate Studies, 1 Management and Science University
2,3,4Departement of Electrical engineering 2,3,4Politeknik Negeri Semarang

Abstract
Abstract—The use of Wireless Sensor Network (WSN) for monitoring systems continues to grow, as it is required data analysis of a sensor node in which there is an accelerometer, use WSN system intended for structural health monitoring application. This monitoring system prototype, built by integrating software and hardware with device microcontroller and sensor. The node sensor produces data and processed with a microcontroller, the resulting data is then immediately transmitted to the cloud by internet network using MQTT. The system was built with a firmware-based Internet of Things (IoT) and this verified using accelerometer sensor node. The data has also been explored and analyzed in the time domain and frequency domain using FFT. Using MQTT, data can be sent directly to the internet in the form of raw data or graph data over time. And in this paper authors do an analysis of the raw data of the output sensor accelerometer ADXL345 and applied to monitor the bridge. From experiments, conducted output accelerometer sensor can vary depending on the sensitivity of the values.

Keywords
Keywords—accelerometer, fast Fourier transform, internet of things, monitoring, mqtt, shms, wireless sensor network

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/zQZDJXvBUT64


Advertising Selection in Social Media for Small and Medium Enterprises (SMEs) in Indonesia
Yanty Faradillah Siahaan1, Titis Handayani2, Prind Triajeng Pungkasanti3, Ninuk Wiliani4, Sarif Surorejo5

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Corresponding Author
Bagus Yunanto

Institutions
1,2,3,5Information System, 4Informatic Technology
1Harapan Medan University, 2,3Semarang University, 4National Technology of Science Institut, 5STMIK YMI
1Medan, Indonesia, 2,3Semarang, Indonesia, 4Jakarta, Indonesia, 5Tegal, Indonesia

Abstract
Abstract— Small and Medium Enterprises (SME) is a form of business which triggers the economic growth of Indonesia and it can even survive in the economic crisis that had ever occurred in Indonesia. There are many obstacles faced by SME such as lack of capital, limited human resources and weak marketing as the spearhead of the company. So it takes a variety of strategies in the conventional promotion such as advertising on TV/ Radio, opening branches, following exhibitions, making banners and brochures. Of course, SME does not have enough financial to make promotion at an expensive cost, so the internet makes digital marketing becomes faster, accessible for 24 hours, cheap and free. Online marketing activities using social media have been done by the SME such as Facebook, Twitter, Instagram, Youtube and so on, because it has a tremendous impact. SME can use hard selling / soft selling sentences or post photos or upload videos so that it can be seen millions of people for free. But for effective promotion in social media, it is necessary to know the style of execution that has the attraction to get to the target market to be targeted. Indicators used for advertising selection are 1) Straight-Sell or Factual Message, 2) Scientific or Technical Evidence, 3) Demonstration, 4) Comparison, 5) Testimonials, 6) Slice of Life, 7) Animation, 8) Personality Symbol, 9) Imagery, 10) Dramatization, 11) Humor, 12) Musical, 13) Combinations. So it is necessary to support the advertising selection in social media by using Simple Additive Weighting (SAW) method so that the output is the rank of social media recommended to be selected by UKM Indonesia.

Keywords
Keywords—Decission Support, Advertising Selection, Social Media

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/jw3QnEr7ypYu


An Overview of Indonesian Fintech Application
Leon Andretti Abdillah (*)

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Corresponding Author
Leon Abdillah

Institutions
Department of Information Systems
Universitas Bina Darma
*leon.abdillah[at]yahoo.com

Abstract
The development of information technology has penetrated into a number of fields including financial services. Economic growth and the convenience offered by information technology-based devices such as smartphones have changed the face of the Indonesian economy towards a digital economy and involved FinTech. This study aims to find out how much Sharia-based FinTech services exist in Indonesia as the largest muslin country in the world. The author uses data released by the Financial Services Authority (OJK) as of August 2019. From this data, it can be seen that FinTech companies registered and licensed in Indonesia are still dominated by FinTech which operates conventionally. But in terms of utilizing the latest technology, FinTech companies in Indonesia have mostly used information technology, both Android and IOS based. Last but not least, the most used social media by Indonesia Fintech is Facebook. By looking at this study, it is hoped that the authorities and interested parties can take a step forward in order to increase penetration of information technology-based FinTech in Indonesia.

Keywords
e-Commerce; Information and Internet Services; Computer Software; FinTech; Technological Innovation; Technological Change; Technological Innovation

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/xTG3Cc6VvaJZ


Analysis of Deep Water Culture (DWC) Hydroponic Nutrient Solution Level Control Systems
Arif Nursyahid1, Thomas Agung Setyawan2, Khalimatus Sa-diyah3, Eni Dwi Wardihani4, Helmy5, Abu Hasan6

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Corresponding Author
eni wardihani

Institutions
1,2,3,4,5,6Department of Electrical Engineering
1,2,3,4,5,6Politeknik Negeri Semarang

Abstract
Abstract— Hydroponics is the cultivation of plants that use water as a planting medium without using soil. One of the simplest hydroponics is Deep Water Culture (DWC). DWC is a hydroponic technique that allows plant roots to always be submerged in water containing nutrients. The purpose of the application of controlling the level of hydroponic nutrient solution in the type of Deep Water Culture (DWC) in the box is to ensure that the roots of the plant are always submerged in nutrient solution so that the nutrients are still fulfilled. The results obtained from controlling the level of hydroponic nutrient solution in the type of Deep Water Culture (DWC) in the box is when the level of nutrient solution is less than the specified threshold then the 12VDC pump relay will live to drain the source water to the nutrient solution reservoir. The HC-SR04 sensor is used for reading the level of nutrient solution, so it has an effect on determining the pump life time. The HC-SR04 sensor has a reading error of 0.87%. The duration of the pump life is determined based on the linear regression equation. Controlling the level of nutrient solution based on linear regression linear calculation has a good accuracy of 88.6%.

Keywords
Keywords— Deep Water Culture, HC-SR04, Regresi Linier

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/ZfRd3qvn9LKu


Arduino-Based Charity Box Safety, Tracing, and Counter System
Tri Raharjo Yudantoro, Liliek Triyono, Wahyu sulistyo, Dwi Desy Nur Hani-ah, Moudina Risma Slodia

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Corresponding Author
tri raharjo yudantoro

Institutions
Politeknik Negeri Semarang

Abstract
Abstract The charity box is a supporting facility that can be used by pilgrims to distribute their infaq. In this modern era, it turns out that the mosque still counts the contents of the charity box manually and uses the usual padlock key for the safety of the charity box. The purpose of this research is to build a system and tool that can simplify the performance of mosque administrators in counting money and maintaining the security of the charity box. Arduino-Based Charity Box Safety, Tracing, and Counter System is a charity box equipped with automatic counting and security features using RFID and GPS. The method used in making this system is the waterfall method. The features in this system are automatic counting and security features using RFID keys, GPS, buzzers, and infrared sensors. This system is also equipped with a notification to the mosque management regarding the amount of money in the charity box and the location of the charity box using GSM / GPRS. From the testing of the system, it was produced that the Arduino-Based Charity Box Safety, Tracing, and Counter System was able to detect banknotes and coins well. The SMS feature also works well where there will be an SMS message regarding the amount of money and location of the charity box. The safety of the charity box is enhanced by using RFID, GPS, buzzers, and infrared sensors. From the user satisfaction test results obtained by the percentage of user satisfaction by 85%, which means the Arduino-Based Charity Box Safety, Tracing, and Counter System is quite attractive to users. Keywords: Automatic money counter, Charity box, Color sensor, GPS, RFID, Load Cell sensor

Keywords
Automatic money counter, Charity box, Color sensor, GPS, RFID, Load Cell sensor

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/c2vCAzLaYZ7m


Bandwidth Constrained Distributed Estimation for Wireless Sensor Networks
Eni Dwi Wardihani*, Amin Suharjono, Ilham Sayekti

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Corresponding Author
eni wardihani

Institutions
Department of Electrical Engineering
Politeknik Negeri Semarang
Jl. Prof. Soedharto, S.H., Tembalang, Semarang, Central Java, Indonesia
edwardihani[at]polines.ac.id

Abstract
The focus of this paper is power constrained in wireless sensor networks. We purpose an adaptive transmit power levels based on sensors noise variance and channel conditions. We also investigate its impact on energy saving. First, the measurement results of the sensors are quantized into discrete messages. Second, the quantized data are transmitted to the fusion center where a final estimate is generated. The optimal transmit power levels for each sensor is determined by the sensor noise levels and channels conditions from sensor to the fusion center. The goal is minimized the total transmitting power, while ensuring a given Mean Squared Error (MSE) performance. The sensor will be active when the measurement results of the sensors have low noises variances and the condition of the channel between the sensor and the FC is good and if the conditions are otherwise the sensor is not active with the aim of saving power. For the remaining active sensors, their optimal transmit power levels are determined jointly by individual channels gain, local observation noise variance sensor and the targeted MSE performance. Numerical examples show that an adaptive power levels achieves significantly smaller MSE than uniform power levels for the same average power consumption.

Keywords
adaptive quantization, uniform quantization, distributed estimation, wireless sensor networks

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/WdRYZe4khTVt


Clinical Therapy for Heat Transfer to Reduce Maternal Pain
Reny Eka Saputri1, Suryono Suryono2, Melyana Nurul Widyawati3

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Corresponding Author
Bagus Yunanto

Institutions
1,3Postgraduate Program in Applied Midwifery Science, 2Department of Physics Faculty of Science and Mathematics
1,3Poltekkes Kemenkes, 2Universitas Diponegoro

Abstract
Abstract - Labor pain is usually severe and only 2-4 % mothers experience light pain during labor. Labor pain is treated pharmacologically, but it comes with side effects of breathing difficulty, lower uteroplacental perfusion, fetal bradycardia, increased need for oxytocin, and it is not cheap to administer. One of the pain management methods available is heat therapy. Heat therapy is conventionally performed using warm water zack or hot water compress using a towel. However, this method comes with disadvantages of unstable temperature, wet media, and non- continuous heat effect. This paper proposes pain reduction method using automatic heat therapy with proportional integral derivative (PID) controller. It makes use of heat from an electric heater attached to metal plate. The PID controller is used to manage the required heat. A temperature sensor is attached to the plate and provides input to the PID controller. Respondents involved were delivering mothers of Stage I Active Phase Respondents were treated with 450cheat for 60 minutes. There were three groups; intermittent group treated with 15-minute treatment, 5-minute pause, and 80th minute stoppage, continuous group treated with non-stop heat that was ended on the 60th minute, and control group given simple pain management by rubbing their backs. Analytical results show an effect of p value < 0.05. Test result on the effect of pain intensity with p value 0.000 means that there is an effect of heat treatment on the reduction of pain intensity for Stage I Active Phase labor.

Keywords
Keywords — PID, heat therapy, pain labor intensity, Stage I, active phase

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/ZDfLNpFT6Jnx


DESIGN AND DEVELOPMENT OF STUDENT ATTENDANCE INFORMATION SYSTEM USING QR CODE IN ACCOUNTING DEPARTMENT OF POLITEKNIK NEGERI SEMARANG
Sarana(a)*, Afiat Sadida(b), Ahmad Wafa Mansur(b), Agus Suwondo(b)

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Corresponding Author
Ahmad Wafa Mansur

Institutions
POLITEKNIK NEGERI SEMARANG

Abstract
This study aims to streamline the lecture attendance system and overcome indications of cheating on student absences in the lecture process in class. Manual attendance list causes lost time of lectures and waste of paper, and therefore the need for an attendance system to reduce these problems. Higher education with all its strategic activities cannot be separated from the importance of using information technology. One of the important activities routinely carried out by a tertiary institution is to record Academic Administration activities (teaching and learning process), this routine activity involves many interests both from the lecturers, administration and from the learning facilities and infrastructure they have. This activity must be made an information system in order to facilitate all parties and produce information that is fast and valid. One such information is student information about absence which can be caused by permission, illness or even negligence. This activity is carried out every day so that if an error occurs or negligence will harm all parties involved in the teaching and learning process therein. This article discusses how to design and build an Academic recording information system in the form of student attendance that can produce accurate and timely information available to meet the needs of students, Academic Administration and department managers so that the information system can be aligned with academic regulations and can be accepted by system users. The object used is the Semarang State Polytechnic Accounting Department. The method used is to use the Unified Model Language approach which consists of Use case Diagrams, Class Diagrams, Data Dictionaries. While the development model using waterfall, the stages include analysis of the existing system, concept design, physical design, implementation and testing. The output of the research is an Android-based student attendance information system application using QR Code which generates information for students, Academic Administration and department managers.

Keywords
Design and Development, Information Systems, UML, Waterfall, QR Code

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/N38d4xCjraQq


DESIGN AND IMPLEMENTATION OF ONLINE MARKETING MEDIA FOR RESEARCH PRODUCTS AND COMMUNITY SERVICE UKM PARTNERS TO COMMUNITIES
Jumi (a*), Tedjo Mulyono (b) Eka Murtiasri (c), Agus Suwondo (c)

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Corresponding Author
Jumi Jumi

Institutions
a) Bussiness Administration Department, Politeknik Negeri Semarang, Central Java, Indonesia
b) Civil Engineering Department, Politeknik Negeri Semarang, Central Java, Indonesia
c) Accounting Department , Politeknik Negeri Semarang, Central Java, Indonesia

Abstract
The development of information technology in the era of digital data is increasing rapidly and has become one of the variables of success in competition in the business world. It has an impact on the weak growth of small and medium of enterprises as call as UKM due to limited capital and lack of network marketing. The design and implementation of information technology-based marketing media using the internet is a basic necessity in the global competition of information business. On-line magnification media that have attractive and informative appearance are the main requirements for customers and prospective customers to be interested in visiting on-line showrooms. The number of website marketing visitors is one measure that the product is in demand by the community in addition to the number of products that have been sold. The number of web-based application providers makes it easy to build web marketing media online. Magento is an online marketing media application that is quite reliable and easy to change the layout of the online showroom layout. Marketing media designs that have been implemented can also be edited at any time for changes or improvements to both the appearance and content.

Keywords
media; layout;marketing; online; UKM

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/nJVLU3YHm2PR


Development of a Non-destructive image processing System to Improve Rice Quality
Sidiq Syamsul Hidayat*); Jumi; Roihatin; Abdul Syukur Alfauzi

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Corresponding Author
Sidiq Hidayat

Institutions
Politeknik Negeri Semarang, Indonesia, Jl. Prof Soedarto SH, Semarang, Indonesia

*) corrosponding author e-mail: sidiqsh[at]ieee.org

Abstract
Post-harvest problems faced by farmers in the form of grain drying, have been overcome by previous studies using a Wireless Sensor Network (JSN) dryer. The use of JSN in dryers is able to provide solutions to improve the accuracy of temperature and water content measurements in the drying chamber. Problems that arise after field trials are (1) the actual moisture content in the grain cannot be determined precisely and quickly (real time), (2) the separate dryer and grinder system has some disadvantages a.l. have to move the dried grain to the grinding machine, adding power, time and cost. In addition, many grains are wasted due to material handling, causing losses. For this reason, it is necessary to develop an integrated system (two-in-one) and that is equipped with quality sensors to determine the quality of grain and rice produced automatically. Grain and rice have different colors at different humidity levels. The use of humidity sensors based on grain color and rice color allows the measurement of water content to be done accurately and faster (real time). Grain and rice quality level sensor in this study uses image recognition based on its features. To determine the level of grain moisture recognition in this study using color features with the method of preprocessing edge sharpening and histogram equalization. Whereas the rice quality level classification sensor uses a combination of shape, color and texture features using the Invariant moment extraction method for shape features, color moments for color features and GLCM for texture features and K-means as descriptor clustering.

Keywords
rice quality; machine learning; sensor network

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/Ge7JzmxL69cw


Development of an intelligent monitoring system for a hencoop based on IoT Technology
Sidiq Syamsul Hidayat*); Muhammad Robby; Rachael Al Azhar Illioni Widi; Agus Rochadi; Sarono Widodo; Endro Wasito; Abu Hasan; Samuel Betha Kuntarjo; Eko Supriyanto;

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Corresponding Author
Sidiq Hidayat

Institutions
Politeknik Negeri Semarang, Jl. Prof Soedarto SH, Semarang, Indonesia

*sidiqsh[at]ieee.org

Abstract
Broiler chicken farms with a close house cage system have not been able to create the ideal temperature for chickens and cannot be monitored through an application on a smartphone. The implementation of a temperature monitoring and control system in a chicken coop has already been done but the system still uses the SMS Gateway as the notification provider and the temperature is set manually with a button. Therefore, the purpose of this study is to create a temperature-based monitoring and control system based on Internet of Things so that the temperature and humidity in the enclosure can be monitored via smartphone users and the temperature is automatically maintained to be always ideal and equipped with notifications. Then the system is tested with several temperature conditions namely heat, normal and cold. Based on the three temperature conditions, the system responds to heat by dimming the lights and turning the fan quickly. The system response left at normal temperature is that the lamp remains dim and the fan rotates slowly. The system responds to cold temperatures by illuminating the lamp and making the fan spin slowly.

Keywords
Internet of Things, Broiler chicken, Blynk

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/fV7bZuaeXAcQ


DUBLE SECURITY SYSTEM WITH RFID AND PASSWORD BASED ON ARDUINO MEGA 2560 AND PLC
Syahid1, Sigit Supriyatna2, Yusnan Badruzzaman3, Djodi Antono4, Ari Santoso5

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Corresponding Author
Wimba Zainrona

Institutions
1,2,3,4,5Department of Electrical Engineering
1,2,3,4,5Politeknik Negeri Semarang

Abstract
Abstract— This research focuses on the use of RFID (Radio Freq uency Identification) systems that are used as personal identification cards in the room access system. This system is intended to maintain the security and privacy of the room from someone who does not have the authority to enter the room. This security system uses a two-tier security system, namely through an RFID identity card and security code. The design and implementation of this system, an electric key work system is evaluated based on the solenoid component and the password used when accessing the room. RFID tags used in this system are in the form of "Mifare RFID Card 13.56 Mhz" cards and store unique codes used as personal identification. This code is read by the RFID reader in validating its authority with Arduino Mega 2560 to regulate the system of electric locks and passwords used to open the door. From the test results, 100% RFID tags can be recognized by the RFID reader, 100% RFID tag and password reading system is successfully used to access the room.

Keywords
Keyword: RFID, Password, Arduino Mega 2560,security system.

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/dHGrqTzWVhKN


Electronic System of Rubber Belt Electro-mechanical Continuously Variable Transmission for Motorcycle Applications
Bambang Supriyo (a*) , Sugeng Ariyono (b), Sihono (c)

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Corresponding Author
Bambang Supriyo

Institutions
a) Magister Terapan Teknik Telekomunikasi, Politeknik Negeri Semarang, Jl. Prof. H. Soedarto, S.H., Tembalang, Semarang, Indonesia.
*bsupriyo7763[at]yahoo.com
b) Program Studi Teknik Mesin, Politeknik Negeri Semarang, Jl. Prof. H. Soedarto, S.H., Tembalang, Semarang, Indonesia
c) Program Studi Teknik Elektronika, Politeknik Negeri Semarang, Jl. Prof. H. Soedarto, S.H., Tembalang, Semarang, Indonesia

Abstract
This paper deals with the design of electronic system used for changing the transmission ratio of a rubber belt electro-mechanical continuously variable transmission (CVT) for motorcycle applications. The rubber belt CVT has input pulley, output pulley and a rubber belt which connects the input pulley to the output pulley. The belt transmits the speed and torque from the input to the output pulley by means of contact friction between the belt and the pulley surfaces. Each pulley set consists of one fixed and one sliding pulley sheaves. The axial position of the input sliding pulley sheave is controlled by an electro-mechanical system. This system utilizes the DC servomotor, actuator gears and cam mechanism. The sliding sheave of the output pulley is continuously pushed by contra spring to mantain the belt tension and prevent belt slip. By controlling the axial position of the input sliding pulley sheave, the input belt-pulley contact radius can be varied, hence changing the output belt-pulley contact radius and finally changing the transmission ratio. The axial displacement of the input sliding pulley sheave is detected using a two channel incremental encoder, while the rotational speeds of input and output pulleys are sensed using one channel incremental encoders. By knowing these two speed values, the transmission ratio of the CVT can then be determined. The microcontroller system of Arduino is used as a main controller to perform the transmission ratio changing of the CVT system. The results show that the electronic system can perform the CVT transmision ratio changings adequately.

Keywords
Rubber belt, CVT, Transmission ratio, Incremental Encoder, Arduino

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/GEkHTNUwZV7j


Euclidean Distance Digital Image Processing For Jaundice Detect
Etika Putri Rahayu1, Melyana Nurul Widyawati2, Suryono Suryono3

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Corresponding Author
Bagus Yunanto

Institutions
1,2Postgraduate Program in Applied Midwifery Science, 3Departement of Physics Faculty of Science and Mathematics, 1,2Poltekkes Kemenkes, 3Diponegoro University

Abstract
Abstract - Jaundice is a serious health issue. Late treatment of jaundice cases in babies may result in neurodevelopmental disorder and irreversible brain damage. Diagnosis inaccuracy is usually caused by the fact that health professionals and health service providers often rely on visual observation instead of laboratory examination. Lack of expertise in detecting jaundice is a serious matter. This research proposes a method of web-based digital image processing as an alternative for early detection of jaundice based on babies- complexion. Images of babies- complexion and color calibration cards are taken to obtain images for online analysis. Determination of bilirubin levels is carried out using the method of Euclidean approximate distance of RGB values from babies- complexion and those of color calibration cards. Results show correlation of Euclidean distance to bilirubin level of babies of 0.93596 and web-based digital image processing accuracy of 90%. These mean that the information system developed here is capable of detecting jaundice cases. This research was performed observationally in high-risk prenatal ward involving 30 infants as samples.

Keywords
Keyword - Euclidean distance, Image processing, Jaundice, Web based

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/6FDYqQHNByJL


Fall Detecting Clothes in Realtime Based Seniors Full Body Motion Capture System Using Multiple Inertial Sensors
Tri Raharjo Yudantoro1, Faiz Pramuditya2, Roni Apriantoro3, Siti Jum-atun4

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Corresponding Author
Liliek Triyono

Institutions
1,2,3,4Dept. of Electrical Engineering
1,2,3,4Politeknik Negeri Semarang

Abstract
Abstract-- The physical ability of the elderly will decrease along with the aging process, thus increasing the potential for falls. An elderly person who has experienced a fall and is not detected for a long time will bring many possible consequences. Early detection of an elderly fall will help to minimize this possibility by reducing the time between the occurrence of an event and the arrival of medical assistance The purpose of this research is to build a Fall Detecting Clothes in Realtime Based Art Full Body Motion Capture System Using Multiple Inertial Sensors. This system builds by Waterfall methodology where every research step is done in sequence, start from analysis, design, coding, testing. Testing methodology is black box, which is a test every feature function. The Fall Detecting Clothes in Real Time Based Systems Full Body Motion Capture System Using Multiple Inertial Sensors has been tested using black testing box with the results of all feature functions working properly. The system has been tested with several conditions with the results of all controls and output data works properly as well.

Keywords
Keyword—fall, clothes, elderly.

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/v8rMyEa3bDhp


GPS-based Fire Detection System (Global Positioning System) and SMS Gateway
Aryanti Aryanti1, Irma Salamah2, L Lindawati3, A Asriyadi4,

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Corresponding Author
Bagus Yunanto

Institutions
1,2,3,4Department of Electrical Engineering, 2Computer Engineering
1,2,3,4,5Politeknik Negeri Sriwijaya

Abstract
Abstract --This research aims to produce a GPS-based fire detection system (Global Positioning System) and SMS Gateway. The benefits of this detection system can detect early fire occurrence based on the detection of temperature conditions by accommodating the nature of the fire and able to detect any rise in temperature caused by the existence of the fire. This detection system must also be able to read any smoke produced by a fire. To realize the system, required sensors capable of reading the temperature and smoke. The Arduino Uno microcontroller is the brain control system of the system. At a temperature of> 35 C, the system will activate the DHT 11 and MQ 2 sensors that detect smoke> 50 ppm from fire. The system will activate Buzzer as a warning in the form of the next alarm sound Global Positioning System (GPS) will provide information in the form of coordinates of the location of the point of fire through GSM SIM900 Module Short Message Service (SMS) to the user. The results obtained mq2 = 128 ppm and temperature value = 38 ° C and GPS data with latitude of -3.04798388 and a longitude of 104.78263092. From the data it is seen that the mq2 value reaches> 50ppm and the temperature value reaches> 35 ° C, and the detector outputs buzzer sound and warning notification of coordinate point in the form of SMS containing the message "FIRE available" with the coordinates of the location of the fire detected by GPS .

Keywords
Keywords -- Detector, Fire GPS, SMS

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/pwkxe2EtArMK


HYBRID METHOD FOR CALCULATING THE COMPOSITION of FOOD NUTRITION
Trisno (a*), Salahudin Robo (b), Sitti Nur Alam (c)

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Corresponding Author
Salahudin Robo

Institutions
a) STIKOM Artha Buana Kupang, Jl. Samratulangi 3 Kota Kupang, Nusa Tenggara . 85111
b) Universitas Yapis Papua, Jl. Dr Samratulanggi Kota Jayapura, Papua, 99115
c) Universitas Yapis Papua, Jl. Dr Samratulanggi Kota Jayapura, Papua, 99115

Abstract
Kasoami is a traditional food from Pemana village. This food mades from cassava and then processed in steaming. People who consume these foods are less aware of the values of the food content. Stabbing application stands for Calculating Food Content Value which aims to help the public in knowing the value nutrition of food content. The stabbing application development is an intelligent application that can help determine the value of food content developed by the NIR method and Artificial Neural Network Calibration. In addition to calculating the value of food content, the stabbing application can also provide a tutorial on the process of making food and provide a form for food sales. For the results obtained, namely determining the main composition of cassava taken twenty samples of sweet potatoes (whole seeds) scanned length of 20-30 cm. The calibration model for NIR measurements uses a three-layer Artificial Neural Network (ANN) technique. As the input layer ANN is the first input 5, 10 second, and 15 main components (PC). The output is the simultaneous composition to be predicted. The contribution of the STIK application is to predict the value of food content that is not yet known to the public in consuming it with the help of existing methods.

Keywords
Traditional food, Nondestructive Nir, artificial neural network, Nutrition value

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/9BeFmPtaQf7n


IDENTIFICATION MODELS FOR MEDICINE PLANTS BASED ON LEAF IMAGE USING SHAPE, COLOR AND TEXTURE FEATURES REAL TIME
Jumi (a*), Nur Maziya (b), Achmad Zaenuddin (a)

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Corresponding Author
Jumi Jumi

Institutions
a) Jurusan Administrasi Bisnis, Politeknik Negeri Semarang, Central Java, Indonesia
b) Jurusan Akuntansi , Politeknik Negeri Semarang, Central Java, Indonesia

Abstract
Information technology is needed in almost all fields of industry, including the pharmaceutical industry, namely herbal medicines and herbs. That herbal medicine and herbal medicine is one of the leading commodities in the health sector in Indonesia which is produced using medicinal plants as the main ingredient. Many types of medicinal plants with various properties require a database and identification that is precise and consistent in documenting and classifying it. Determination of the type of plant and its properties can be done using visual data, namely the image of medicinal plant leaves. Each type of medicinal plant has relatively different physical characteristics, ranging from the physical characteristics of the leaves, stems, flowers, fruits, and roots up to the condition of the plants fertile growing environment. Through physical characteristics in the image that is shape, color and texture will be found the identity of medicinal plants with their properties. Characteristics or physical features of medicinal plant leaves stored in the leaf image database are strongly influenced by conditions when shooting leaf images such as lighting, the position of the camera and the distance of the camera to the object that will affect the results of identification. The test results show that the Identification Model of medicinal plant types and medicinal properties using the shape, color and texture features has a relatively high accuracy of more than 90% so this supports the recognition of medicinal plant types and their efficacy is more valid

Keywords
Identification, features, plants, medicine, recognition

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/4y7XEQYpJcUk


Implementation of Smart Reader IoT for Analog Meter Reading with Raspberry using the Camera
Wahyu Sulistiyo (a), Tri Raharjo Yudantoro (b), Budi Suyanto (c), Parsumo Rahardjo (d), Slamet Handoko (e)

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Corresponding Author
Wahyu Sulistiyo

Institutions
a) Departement of Electrical Engineering
Politeknik Negeri Semarang
Semarang, Indonesia
wahyu.sulistiyo[at]polines.ac.id

b) Departement of Electrical Engineering
Politeknik Negeri Semarang
Semarang, Indonesia
tryudan[at]polines.ac.id

c) Departement of Electrical Engineering
Politeknik Negeri Semarang
Semarang, Indonesia
budi.suyanto[at]polines.ac.id

d) Departement of Electrical Engineering
Politeknik Negeri Semarang
Semarang, Indonesia
parsumo[at]polines.ac.id

e) Departement of Electrical Engineering
Politeknik Negeri Semarang
Semarang, Indonesia
kang.handoko[at]polines.ac.id

Abstract
Analog meter recording devices that have worked in the industry need to be optimized to be able to work in an integrated manner in the era of the industrial revolution 4.0 in Indonesia. An intelligent device that can read analog data and convert it to digital data needs to be made to make system integration in the industry easier. In this paper, we propose an IoT system that is built using Raspberry, a single board computer, and a camera sensor. The camera used is a low resolution USB camera with a size of 640 * 480 pixels. Retrieval of analog meter image data is done in a closed environment with a light source from the LED. The analog meter object used is a square meter analog object with a red pointer. Analog meter scale values in position angles between 45 degrees to 135 degrees. The transformation of analog data values into digital data was successfully carried out by the red masking process, followed by the edge detection process with the Canny method, and continued with the line detection process using the Hough Transform method. This digital data was also successfully transmitted via the Raspberry WIFI network to Firebase cloud database storage. From the experimental results, the maximum absolute error from the device is 0.333 or 2 degrees different from the analog meter reading angle. From all experimental data, the standard error of device is 0.0347. With these results it can be concluded that an IoT device can be made using a Raspberry and a camera sensor to read analog meters with a fairly high degree of accuracy.

Keywords
IoT, Raspberry, Digital Image Processing

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/p3kuP9fjhwGJ


IMPROVING ACCURACY OF NEURAL NETWORK ALGORITHM THROUGH NOISE MINIMATION USING BAGGING FOR MODELLING PREDICTION OF EARLY AGE CONCRETE COMPRESSIVE STRENGTH
Stefanus Santosa, Suroso, Marchus Budi Utomo, Martono, Mawardi

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Corresponding Author
Stefanus Santosa

Institutions
Politeknik Negeri Semarang

Abstract
Artificial Neural Network (ANN) is a Machine Learning (ML) algorithm which learn by itself and organize its thinking to solve problems. Although the learning process involves many hidden layers (Deep Learning) this algorithm still has weaknesses when faced with high noise data. Concrete mixture design data has a high enough noise caused by many unidentified / measurable aspects such as planning, design, manufacture of test specimens, maintenance, testing, diversity of physical and chemical properties, mixed formulas, mixed design errors, environmental conditions, and testing process. Information needs about the compressive strength of early age concrete (under 28 days) are often needed while the construction process is still ongoing. ANN has been tried to predict the compressive strength of concrete, but the results are less than optimal. This study aims to improve the ANN prediction model using Bagging to reduce the influence of noise and overfitting. At the beginning this study based on an ANN multi-layer feed-forward that is trained by stochastic gradient descent using back-propagation. The results show that the number of hidden layers and neurons does not guarantee to reduced error. The Deep Learning paradigm, which is characterized by the depth of learning shown by the number of hidden layers, is not always parallel with the best results. Models with 12 hidden layers and 50 neurons still have higher errors. The best model is achieved by 6 hidden layer and 50 neurons with a RMSE value of 7,418 +/- 1,214. The use of different activation functions also does not significantly affect the performance of the model. Model improvements are carried out using Baging. The best model is obtained by 7 hidden layers and 50 neurons with RMSE 6,140 + / - 0.556. This result proves that Bagging is significant to reduce the Deep Learning error rate for predicting the compressive strength of early age concrete. This Machine Learning model can be used as an alternative / substitute for conventional mix designs, which are environmentally friendly, economical, and accurate. Future work with regard to the concrete industry, this model can be applied to create an intelligent Batching and Mixing Plants.

Keywords
Keywords: deep learning, ANN, bagging, concrete compressive strength

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/D7bpt4EmvFfB


Integrated Design of Drying and Grinding Machines Multi-sensors for Rice Quality Detection
Sidiq Syamsul Hidayat*), Ariawan WP, Liliek Triyono

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Corresponding Author
Sidiq Hidayat

Institutions
Politeknik Negeri Semarang, Jl. Prof Soedarto SH, Semarang, Indonesia

*sidiqsh[at]ieee.org

Abstract
Industrial revolution marked by cyber-physical systems, currently in the form of connectivity humans, machines and data. This term is known as the internet of things (IoT). IoT is a concept where an object has the ability to transfer data through network without requiring human-to-human interaction or human to computer or machine. IoT has evolved from the convergence of wireless, sensor and internet network technologies. Utilization of wireless sensor networks (JSN) in rice drying and grinding machines is one form of industrial application 4.0 in the field of agricultural and food mechanization in general. This is because JSN can provide solutions to improve the accuracy of parameter measurements temperature and water content and the ability to monitor and control the whole system (automation) without requiring interaction with humans, to increase production. The problems that arise in the field are (1) the actual moisture content in the grain has not been able to precisely and quickly determined (real time), (2) separate drying and grinding systems has some disadvantages a.l. have to move the drained grain to the grinding machine, increase energy, time and cost. In addition, many grain is wasted due to material handling these causes losses. For this reason, it is necessary to develop an integrated system (integrated) and equipped with multisensors to determine the quality of grain and rice automatically generated. The long-term goal of this research is to produce appropriate technology in the form of a machine Integrated rice dryers and grinders use multisensors to determine quality rice automatically. The specific target to be achieved is the development of multisensors for know the grain moisture content and quality of rice.

Keywords
rice quality; machine learning; sensor network

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/kYczJmjQ7PKu


KTP Sapi Application (Cattle Technology Card) Android-based with RFID for Livestock Data Collection Management and Temperature, Humidity and Ammonia Gas Controller in Cowshed
Sukamto1, Prayitno2, Halimah Itsna Wardany3

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Corresponding Author
Wimba Zainrona

Institutions
1,2,3Informatics Engineering, 1,2,3Politeknik Negeri Semarang

Abstract
Abstract-- One of the steps to realize self- sufficiency of beef is improvement management of cattle farm that still done conventionally with individual ownership using paper, not using RFID and stored on database. The next problem is that there is no monitoring of the condition of the cage including temperature, humidity and ammonia gas which affects the health and growth of cattle. In addition, the location of the enclosure far makes it difficult to monitor and collect data on cattle when not using a mobile application. The purpose of this research is to make the application of KTP Sapi with the features of cow data management, feeding schedule, livestock report and temperature monitoring, humidity, ammonia gas and temperature controller based on android. The method used is the waterfall method that includes the stages: analysis, design, implementation, testing and maintenance. KTP Sapi application has several features, namely feeding schedule, livestock reports, integrated cow collection with RFID, cage, cage monitoring, cage controller integrated with tools and servers so that applications can be accessed anytime anywhere there is internet access. KTP Sapi application is expected to provide convenience especially for farmers in cattle collection, monitoring and controlling temperature, humidity and ammonia gas. KTP Sapi application has been successfully built and can be downloaded free on Google Playstore.

Keywords
Keyword--android, cow, data collection, livestock, RFID, monitoring, controller, temperature, humidity, ammonia gas, cage, cowshed

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/z7q4TAgMwG3D


MiSREd: An IoT-Enabled Platform for Managing Disasters and Its Performances on Real Environment
Amin Suharjono, Muhammad Mukhlisin, Bambang Supriyo, Muhammad Anif, Marzuki, Annisa Mahardika

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Corresponding Author
Amin Suharjono

Institutions
Politeknik Negeri Semarang

Abstract
Rives is a source for human and all creatures inside. Water quality of a river will give impact to all creatures surrounded it. Nowadays, there are so many rivers have been exposed to pollution. Pollution came from industrial waste or garbage. Besides causing pollution, waste that has accumulated in the river can cause some problems. Such as flooding in the rainy season caused by so many pollutions inside. Therefore a river monitoring system is needed that can be used to monitor the height and quality of river water. The river monitoring system with multi-hop communication it can be solved to reach more distance. While to make monitoring easier it can be used real-time monitoring. Sending data with low packet loss would give data results better. The value of packet loss can be determined by the delivery interval of time and distance. Packet loss testing is done with variations in the interval of sending 500 ms, 750 ms, 1000 ms, 2000 ms, and 3000 ms. While variations in the distance used are 10 meters, 50 meters, 100 meters, and 300 meters. The best packet loss results at 500 ms sending interval are 48.9% when the distance between nodes is 10 meters. when the sending interval of 750 ms is 25.2% with the difference between nodes 10 meters, when the sending interval of 1000 ms is 1% when the position between nodes is 10 meters, when the 2000 ms sending interval is 3.2% while the distance between nodes is 10 meters, while the sending interval of 3000 ms is 1.9% with the distance between nodes 10 meters. So it can be concluded that the best packet loss happened when the distance between nodes is 10 meters. The worst packet loss results at a 500 ms sending interval is 81.25% when the position between nodes is 300 meters, when the sending interval of 750 ms is 61.25% with the difference in location between nodes 300 meters, when the sending interval is 1000 ms is 35.91% and the distance between nodes is 300 meters, when the 2000 ms sending interval was 53.20% with a 300 meter distance difference and when the 3000 ms delivery interval was 65.71% with a 300 meter node distance. So it can be concluded that the worst packet loss happened when the distance between nodes is 300 meters

Keywords
IoT, disasters, packet loss, multi-hop

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/fMd746N8trDq


MODEL FOR IDENTIFICATION OF RICE TYPE USING COMBINATION OF SHAPE AND COLOR FEATURES
Jumi (a*), Achmad Zaenuddin (b), Tedjo Mulyono (b)

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Corresponding Author
Jumi Jumi

Institutions
a)Bussiness Administration Departement, Politeknik Negeri Semarang, Central Java, Indonesia
b)Bussiness Administration Departement, Politeknik Negeri Semarang, Central Java, Indonesia
b)Civil Engineering Departement, Politeknik Negeri Semarang, Central Java, Indonesia

Abstract
The development of applied knowledge in the field of technology that advances industry in society is the master plan of Higher Education research, one of the areas of focus is the development of information technology. Information technology is needed in almost all fields of industry, including food industry, namely rice. That rice is one of the leading agricultural commodities in Indonesia which has various levels of quality and type. The many types and levels of quality of rice require a database and precise and consistent identification in classifying it. Determination of the level of quality and type of rice can be done using visual data, namely rice imagery. Each type of rice has relatively different physical characteristics, as well as each level of quality of rice has different physical characteristics. Through physical characteristics in the image that is shape, color and texture will be found in the level of quality and type of rice. Characteristics or physical features of rice stored in the image are strongly influenced by conditions when taking rice images such as lighting, the position of the camera and the distance of the camera to the object which will further affect the results of identification. This requires image processing methods to improve detection accuracy so that the identification of quality and type of rice has a high level of validation. This research has developed a model of identification of rice types using several image features including shape features, color features and a combination of the two features. The results of testing using this model are proven to produce more than 60% accuracy for the use of shape features only, while identification using only the color features has an accuracy of more than 55%. Identification using a combination of shape and color features has an accuracy of more than 75%.

Keywords
Identification; shape; rice; color; accuracy

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/QtmkRaNADWeC


Nutrient Film Technique (NFT) Hydroponic Nutrition Controlling System Using Linear Regression Method
Arif Nursyahid1, Helmy2, Anindya Iffa Karimah3, Thomas Agung Setiawan4

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Corresponding Author
eni wardihani

Institutions
Department of Electrical Engineering
1,2,3,4Politeknik Negeri Semarang

Abstract
Abstract— Nutrient Film Technique (NFT) hydroponic cultivation could be an alternative to overcome the increasing food need. Nutritional needs supply of hydroponic plant are one of parameters that need to be considered. NFT hydroponic nutrient controlling system aims to facilitate farmers to maintain the amount of nutrition according to plant needs. This system uses linear regression method to control the amount of nutrients. The accuracy results obtained from controlling system experiment are 87.84%.

Keywords
Keywords— Nutrient Film Technique, Analog TDS Sensor.

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/CTwMV2RqU3Gb


Online Monitoring System for Emergency Diabetes Mellitus Patients
Ratna Kurniawati[a], Suryono Suryono[b], , Suhartini Ismail [c]

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Corresponding Author
Bagus Yunanto

Institutions
Master Student Adult Nursing[a], Department of Physic[b],
Emergency and Critical Nursing, Department of Nursing Science[c], Diponegoro University, Indonesia

Abstract
Abstract— In this research, an online monitoring system was designed to detect emergency due to uncontrolled blood glucose fluctuations in patients with diabetes mellitus. Hyperglycemia in the morning causes dawn phenomenon and Somogyi effect. This incident is very fast, and its uncontrollable time of occurrence can inflict a fatal condition causing death. Unfortunately, there are no systems able to detect such events, currently. This study proposes an online monitoring system with the input of the patients blood glucose measurement into the smartphone. Blood glucose values are sent and stored in the webserver, and the results are used to determine the incidence of dawn phenomenon and the Somogyi effect. The study was able to produce an online monitoring system which can be monitored by nurses, doctors, and administrators via the dashboard.

Keywords
online monitoring, diabetes mellitus, emergency, self care management

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/3A6yeVHmK4DW


OPTIMIZATION OF THE WASTE TRANSPORTATION SYSTEM IN SURABAYA BASED ON MULTICRITERIA FUZZY
Johan Pamungkas(a), Catur Wahyu Wijaya (b), Achmad Rafiud Darajat(c), Ali Murtopo (d)

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Corresponding Author
Johan Pamungkas

Institutions
(a) Departement of Electrical Engineering
Universitas Tidar
Jalan Kapten Suparman No. 39 Potrobangsan, Magelang 56116
(b) MPM, Jalan Simpang Dukuh 42-44 Surabaya 60275
(c)(d) Departement of Civil Engineering
Universitas Tidar
Jalan Kapten Suparman No. 39 Potrobangsan, Magelang 56116

Abstract
As the second-largest city after Jakarta, Surabaya City has the same problems as big cities in Indonesia. One thing that remains a significant concern is the issue of cleanliness, environmental governance, and urban waste management as one of the pilot cities in the development of Smart City-based cities. The city of Surabaya has developed various ways and technology implementation in waste management in urban areas to a lesser extent in the community environment. The current garbage transportation system in the city of Surabaya has not yet reached the optimal level, so we need a method that can make this garbage transport transportation system more optimal so that operational costs will minimize for development in other sectors. In this paper, we present one way to optimize the problem of transportation of garbage transport through fuzzy multi-criteria to optimize the transportation of waste in the city of Surabaya. The results of the study in this paper are the allocation of waste from each LPS to a certain LPA, taking into account the minimum distance and time taken. The problem with optimizing waste transportation is generally that it only pays attention to two objects. This research focuses on how to optimizing the waste transportation system, which is two objects of research optimization of the existing transportation system, and the transportation distance of the garbage transportation system to a minimum to reduce transportation costs and the time needed in the transportation system. By using the Fuzzy Multi-Criteria to perfect conventional linear programming, it is often complicated calculation because the limitations of linear programming cannot be satisfactory if they consist of two or more objectives. Based on this, transportation system problems The analysis obtained can provide an overview of waste allocation in each LPS to LPA with the provisions taking into account the objectives were achieved.

Keywords
Multi-Criteria, Fuzzy, Transportation, Surabaya

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/R8DtY46gqFGy


People Counter with Object Detection using Mobilenet-SSD Method
Eni Dwi Wardihani, Wimba Zainrona, Sarono Widodo, Amin Suharjono

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Corresponding Author
eni wardihani

Institutions
Telecommunication Engineering, Semarang State Polytechnic, Jl. Prof. Soedarto, Tembalang, Kec. Tembalang, Kota Semarang, Jawa Tengah Indonesia 50275
*edwardihani[at]polines.ac.id

Abstract
Monitoring of a room is required to observe attendance of the visitor as well as to know the visitor-s behaviour. A surveillance camera is one of the solutions for the development of computer vision technology and IoT. This study aims to create people counter by implementing object detection using MobileNet-SSD method in which a webcam camera is connected to a laptop. The data will be sent to IoT platform Thingspeak. The system obtain outputs of object id, percentage of confidence, virtual boundary line and tuples information. The virtual line is a boundary for knowing which objects will enter or exit the room. The analysis was carried out to determine the factors that influence the people counter using statistical test of the binary logistic regression. The results show the most optimal performance are at a distance of 300 cm, an angle of 160 degre, light intensity of 300 lux, an accuracy of 100 %, sensitivity of 90 % and precision of 100 % in normal walking characteristics.

Keywords
People Counter, Computer Vision, MobileNet-SSD, Internet of Things, Thingspeak

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/Fz8QL9WDGqJa


PERFORMANCE ANALYSIS OF SHAPE, COLOR AND TEXTURE FEATURES ON TRACKING INFORMATION FACE BASED ON CBIR
Jumi1, Achmad Zaenuddin2, Tedjo Mulyono3 1,2Departement of Bussiness Administration, 3Departement of Civil Engineering

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Corresponding Author
Jumi Jumi

Institutions
1,2,3Politeknik Negeri Semarang

Abstract
Abstract - The image has the features of shape, color and texture that are vary. Each feature has adifferent performance in supporting the accuracy of information retrieval using a processapproach to CBIR (Content-Based Image Retrieval). On the image with different objectsdifferent erformance will be generated on each feature. For example that the performancefeatures of the form of the more dominant compared features color and texture on the image with the face, while the object on the image with the object of interest feature is moredominant than the features of texture and shape.In this research was conducted on theanalysis of the performance features of the shape, color and texture in supporting theaccuracy of a search using the approach of CBIR (Content Based Image Retrieval). Themethod used are invariant moment, color moment and GLCM ( Grey Level Co-occurrenceMatrix). The results showed that the best search accuracy is 95%, where the features ofshape has a performance by 50%, 30% color feature and texture feature by 20% with 600test image with object database assets Keywords : Performance, Feature, Retrieval,

Keywords
Keywords : Performance, Feature, Retrieval, Moment, GLCM

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/RjkAwa9FNKqe


Performance of 5G Under Semarang Channel Model
Eni Dwi Wardihani*, Hany Windri Astuti, Eddy Triyono, Ilham Sayekti , Amin Suharjono

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Corresponding Author
eni wardihani

Institutions
Telecommunications Engineering, Department of Electrical Engineering
Politeknik Negeri Semarang
Jl. Prof. H. Soedharto, S.H., Tembalang, Semarang 50275, Indonesia
*edwardihani[at]polines.ac.id

Abstract
Industrial revolution 4.0 is the reason for 5G-NR network to support the Twenty-Twenty Society internet needs. However, the optimal parameters of 5G are not yet known for Indonesia. This research proposed 5G channel model under Semarang City, Indonesia weather parameters with data sources from Indonesia official department of Meteorological, Climatological and Geophysical (BMKG Station) and through sensors measurement. The method used channel modelling experiments with OFDM numerology of 3, bandwidth of 100 MHz, frequency of 28 GHz and was performed un-coded with the value of Rate is 1. The experiment used three criteria, those are very heavy rain, moderate rain and no rain. The results of channel modelling generated the channel that can work. The performance of the channel resulted outage probability value which is validated using Frame Error Rate (FER). The results show outage probability upon the data from Indonesia official department of Meteorological, Climatological and Geophysical (BMKG Station) for very heavy rain, moderate and no rain in 10^{-5} value with power of 18.3 dB, 18.2 dB and 18.27 dB respectively, while the results of the FER validation obtain 10^{-1} with power 22.2 dB, 22.2 dB and 22.1 dB respectively. The sensor data obtain outage probability of 10^{-3} with the power of 13.283 dB, 10-3 with power of 29.67 dB, 10^{-5} with the power of 19.88 dB, and their FER validation show a value of 10^{-1} with the power value of 22.1 dB, 22.5 dB and 22.1 dB respectively.

Keywords
Channel model, 5G, OFDM numerology, Semarang, performance

Topic
Electrical Engineering and Computer Science

Link: https://ifory.id/abstract/9mMkFPgb4CJA


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