Indonesia Conference Directory

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

Corresponding Author
Anis Roihatin

Institutions
(a)Energy Conversion Engineering Program, Mechanical Engineering Department, Politeknik Negeri Semarang
(b)Energi Power Plant Engineering Technology, Mechanical Engineering Department, Politeknik Negeri Semarang
*anis.roihatin[at]polines.ac.id

Abstract
Hydrogen fuel cell is a fuel cell that uses a membrane as an electrolyte to exchange protons. The principle works is to convert electrochemical energy into electrical energy directly with hydrogen gas fuel. The purpose of this study is to examine the performance of hydrogen fuel cells against variations in fuel flow rate and concentration to get the optimum performance. First step is design a hydrogen fuel cell model, then simulated the cell performance of the hydrogen fuel flow rate of 6, 18, and 30 mL / min and the fuel concentration of 50 mol /m3 . Furthermore, the characteristics of the voltage-electric current and electric-current power per fuel cell stack are obtained. Hydrogen fuel cell research produces optimum power at 0.0471 mW / cm2 at a cell current 0135 mA /cm 2 and the cell voltage 0,35 V . The greater the load used, the time faster used by the battery to turn on the load. The highest time taken when a small load is 10 watts with a time of 240 hours and the fastest time taken when a large load is 400 watts with a time of 6 hours. Reduction of battery discharge time to the same load due to power losses in each equipment and circuit which results in the power generated by the battery not reaching the maximum load.

Keywords
photovoltaic, electrolyzer, PEM Fuel Cell, hydrogen flow rate

Topic
Mechanical Engineering

Link: https://ifory.id/abstract/z36eqHMJwCVN

Corresponding Author
Yusuf Dewantoro Herlambang

Institutions
Politeknik Negeri Semarang

Abstract
The purpose of this research is to study the performance of hydrogen fuel cell to study different fuel flow rate and different concentration to obtain the optimum performance of the cell. First, design a hydrogen fuel cell model, second simulate cell performance toward hydrogen fuel flow rates of 6, 18, and 30 mL/min and fuel concentrations of 50 mol/m3. Subsequently, we obtained the characteristics of voltage-electric current density and power density-electric current density per stack of fuel cell. The research of this hydrogen fuel cell obtained the power density optimum of 0.0471 mW/cm2 at a cell current density of 0.135 mA/cm2 and a cell voltage of 0.35 V. The greater the load the greater the time used by the battery for instant loads. The average time when the load is small is 10 W with a time of 240 hours and the fastest time when a large load is 400 watts with a time of 6 hours. Decreasing battery discharge time to the same load due to the completion of power losses in each device or circuit that produces the power generated by the battery does not reach the maximum load.

Keywords
photovoltaic; PEM fuel cell; power density; flowrate; concentration

Topic
Mechanical Engineering

Link: https://ifory.id/abstract/nVTE7YwKhHLr

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

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

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

Corresponding Author
Lisda Rahmasari

Institutions
Sekolah Tinggi Maritim dan Transpor "AMNI" Semarang

Abstract
Student-s decision to pursue higher education is based on various criteria, such as study program accreditation, tuition fees and academic facilities. The purpose of this research is to analyze the influence of study program accreditation, tuition fees, and academic facilities to student-s decision making in selecting maritime college in Central Java. Sampling method uses purposive random sampling with 160 students as respondent. The research data is collected using questionnaire, which later is processed using multiple linear regression using SPSS 21. The research result shows that the variable of study program accreditation (X1) had a positive and significant influence to student-s decision with regression coefficient of 0.24 and significance rate of 0,000. The variable of tuition fee (X2) had a positive and significant influence to student-s decision with regression coefficient of 0.17 and significance rate of 0,000. The variable of academic facilities (X3) had a positive and significant influence to student-s decision with regression coefficient of 0.11 and significance rate of 0,002.

Keywords
Decision Making, Study Program Accreditation, Tuition Fees, Academic Facilities

Topic
Civil and Environmental Engineering

Link: https://ifory.id/abstract/uvR4CmTyAL7X

Corresponding Author
TJOKRO HADI

Institutions
Politeknik Negeri Semarang

Abstract
Bending test is one type of material testing carried out to determine the mechanical properties of a technical material. In designing this bending test required a standard design method that uses standard machine elements as well as commonly found in the market. In practice in the field, there are only a few materials testing practitioners who pay attention to aspects and effects of variations in the dimensions of the test specimen on the data from the test results. The test is carried out with the intention to obtain information about fulfilling the quality requirements and the feasibility of the material to be used as construction material for buildings, bridges and other physical buildings. One application that can be done is to look at aspects of the problems that are around that are related to practicum activities in the laboratory and in the work industry. Therefore it is necessary to adjust between making the final report with the needs needed in the industrial world. For this reason, the bending test is made to study the effect of dimensional variations on test specimens in arcing testing. For this reason, this study with the title "Innovative Products for Concrete Reinforcement Steel Curved Test Equipment in the Field of Building Materials in the Department of Civil Engineering" is very important to do. The research was conducted to improve the performance of tools in the building materials laboratory. The final results of the study are expected to function optimally and easily used for laboratory work.

Keywords
Bending test, concrete reinforcement steel, building material laboratory.

Topic
Civil and Environmental Engineering

Link: https://ifory.id/abstract/MKGD7VcBjEYC

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

Corresponding Author
Suparni Setyowati Rahayu

Institutions
1Mechanical Engineering Department, Politeknik Negeri Semarang, Indonesia
2Doctoral Program of Environmental Science, School of Postgraduate Studies, Univesritas Diponegoro, Semarang
3Department of Chemical Engineering, Faculty of Engineering, Universitas Diponegoro, Semarang Indonesia

Abstract
Environmental management must be carried out in a sustainable manner and this is made possible when the efforts involved are easy, cheap, and whenever possible profitable. Therefore, environmental pollution prevention measures such as the Cleaner Production approach is well suited to be implemented in the environmental efforts in Organic Rubbish. Cleaner Production approach that is combined with Organic Rubbish will be the best approach for the environmental management of Settlements. This research is aimed to develop a new system that integrates the application of Cleaner Production and Organic Rubbish from Settlements. In this research, the waste from tofu that is turned into biogas as a form of renewable energy using an Biosam reactor, for which the waste mud from the sewage system serves as the inoculums. There are 5 approach for implementation: (1) workshop; (2) supervising; (3) technical meeting; (4) network meeting, and (5) technical application. Implementation of the Cleaner Production scheme that is integrated with Organic RubbishTreatment will reduce the amount of rubbish to be treated in the treatment facilities. This means less cost on the construction and operation of waste water treatment facilities, as inherent limitations with organic rubbish treatment facilities like lack of fund, limited area, and technological issues are already there. Implementation of Cleaner Production prior to organic treatment should be able to reduce pollution figures up to certain levels that limitations in organic rubbish treatment facilities can be covered. Biogas in 12 days HRT in an Biosam reactor contains CH4 (88.46 %) and CO2 (12.66 %). Meanwhile, treatment using conventional a bio-digester results in biogas with 88.46 % CH4 and 12.66 % CO2. Hence, biogas efficiency for the Biosam system is 2.54 times greater than using a conventional digester.

Keywords
integration, clean production, Biosam reactor, organic rubbish

Topic
Mechanical Engineering

Link: https://ifory.id/abstract/Xea7EZpMRcbD

Corresponding Author
tedjo mulyono

Institutions
a) Civil Engineering Department, Politeknik Negeri SemarangCentral Java, Indonesia
b) Bussiness Administration Department, Politeknik Negeri Semarang, central Java, Indonesia

Abstract
Flooding is a problem that often afflicts Grogol Subdistrict, Sukoharjo Regency, Central Java Province, this is due to the lack of efficiency in drainage performance, it is necessary to make a rain flow model to control the performance of the drainage system. IPO Model (Input Process Output), a model for handling flow in drainage channels. The purpose of this study is to develop a model of rainfall flow to analyze the performance of the drainage system, to solve drainage problems in Grogol District, Sukoharjo Regency. Calculations are made using daily rainfall data for the past 15 years from 2002 – 2017. The most appropriate Frequency Distribution is the Normal Method, used to look for plan rains with a return period of 2 years, 5 years, and 10 years in the Frequency Duration Intensity (IDF) curve. Based on the rainfall intensity, it is calculated using the Rational formula so that it gets a plan debit every return period, in this case a 10 year return period. Based on the results of the study, almost all drainage channels experienced overflow due to back water, pumping is needed. In this study the pump calculation is performed using the water jump formula. Some sub-systems require additional pumps, including; (1) Langenharjo 3 pumps capacity 1 m3 / sec, (2) Dlopo Barat 2 pumps capacity 0,63 m3 / sec, (3) Grogol 2 pumps capacity 0,63 m3 / sec, (4) Kadokan 2 pumps capacity 0, 63 m3 / sec, (5) North Pandeyan 2 pumps capacity of 0.63 m3 / sec, and (6) South Pandeyan 2 pumps capacity of 0.63 m3 / sec.

Keywords
flood; IPO; drainage; rainfall; pumps

Topic
Civil and Environmental Engineering

Link: https://ifory.id/abstract/Lvz4bcg2ynPN

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

Corresponding Author
Liliek Triyono

Institutions
1,3,4 Mechanical Department, 2 Electrical Departments
1,2,3,4State Polytechnic of Semarang

Abstract
Abstract - The Powerhouse Department on a diesel engine manufacturer has the role of supplying electricity to all departments, especially the production department. The problem that arises is the recording of all maintenance and repair activities carried out in the logbook. The purpose of this research is to develop a maintenance information system that can record all maintenance and repair activities that can be recorded electronically. The method used is Object-Oriented Development (OOD). The results of the research are data of toolst, parts & spare-parts, maintenance history & engine damage, maintenance scheduling documents, and vendor & supplier data. The system was implemented on this manufacturer.

Keywords
Keywords : maintenance, diesel, powerhouse, OOD

Topic
Mechanical Engineering

Link: https://ifory.id/abstract/nDBcbW6ZaHVJ

Corresponding Author
mst telkom

Institutions
1 Politeknik Negeri Bandung (POLBAN), Bandung, Indonesia

Abstract
Abstract— Climate change and advanced urbanization level followed by the changing function of an area affect to the amount of water absorption area. It causes puddle and flood in city, include Cimahi, West Java, which is in the last 10 years has been surrounded by flood and puddle. To avoid the flood case in Cimahi, the re-identification and flood-factor inventory are needed. The identification and inventory are using the simplest method (literary study from any source), start from discussing session with Cimahi government, interviewing and filling questioner to the citizen who live in flood and puddle area, measuring river and drainage profile, counting the capacity of river and drainage, until simulating the 2-dimension and 3-dimension of flood and puddle. The result of the identification and inventory is shown in Flood- Prone-Zone Map and Puddle-Prone-Zone Map. According to Cimahi-sFlood-Prone-Zone Map, it shows that the flood-safe area is about 110,747 ha (2,70%), the not-flood-prone area is about 494,233 ha (12,05%), the flood-prone area is about 2016,474ha (49,18%), and the very-flood-prone area is about 1478,799 ha (36,07%). According to Cimahi-sPuddle-Prone-Zone Map, it shows that the puddle-safe area is about 128,616 ha (3,14%), the not-puddle-prone area is about 551,246 ha (13,44%),the puddle- prone area is about 2702,826 ha (65,92%), and the very-puddle- prone area is about 717,556 ha (17,50%). The Flood-Prone-Zone Map and the Puddle-Prone-Zone Map can be used as a reference for the Cimahi Government in formulating the policy of regional development.

Keywords
Keywords— flood, puddle, safe, not prone, prone, very prone.

Topic
Civil and Environmental Engineering

Link: https://ifory.id/abstract/gjrkYDa7EC9n

Corresponding Author
mst telkom

Institutions
1,2,3Department of Civil Engineering Polytechnic State of Bandung, Bandung, Indonesia,

Abstract
Abstract— The porous asphalt mixture is an asphalt mixture that consist of high void and a small proportion of fine aggregate. The presence of a high void reduce the value of marshall stability. Many attempts to increase the value of marshall stability by adding substances into the porous asphalt mixture has been done by several researchers. Modified porous asphalt can be achieved by adding gilsonite to the mixture which aims to accomplish the main function of the porous asphalt layer as well as to improve the quality of mixed performance. The method used in this study is an experimental method. The test that conducted in this study using two types of gradations that are Japan and Australia gradation. The research was Marshall characteristic test with 2.5%, 3.5%, 4.5%, 5.5%, 6.5% of gilsonite content and 0% as the control. The results showed that porous asphalt mixture using gilsonite proved to increase the value of Marshall stability compared to non-modified porous asphalt mixture by 24%. The mixture reaches a maximum state at 5.5% gilsonite content. The best performance is produced by the mixture using Japanese gradation.

Keywords
Keywords—Porous Asphalt, Gilsonite, Marshall Stability

Topic
Civil and Environmental Engineering

Link: https://ifory.id/abstract/HQWjzZcywpg3

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

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

Corresponding Author
Aryo Satito

Institutions
Program Studi Sarjana Terapan Teknik Mesin Produksi dan Perawatan
Jurusan Teknik Mesin
Politeknik Negeri Semarang

Abstract
The main requirement for steel material to be increased in hardness through the heat treatment process is the level of carbon content must be ≥ 0.3%. Steel material with a content of ≤ 0.3% must be increased in carbon content to ≥ 0.3% if it is to be hardened through a heat treatment process. The process of increasing carbon content in steel is known as a pack carburising process which is generally carried out without pressure. inthis method, the process of adding carbon content by heating soft steel specimens in containers containing 1000 mesh of carbon powder under pressure from two axial directions so that the distribution of carbon powder pressure is more evenly distributed than when pressure is only applied from one direction only. With this method, it is expected that the carbon gas diffusion and penetration of carbon atoms into the surface of the specimen will be deeper. The amount of pressure applied is 1 MPA, 2 MPa, and 3 MPa at temperatures of 800ºC, 900ºC and 1000ºC with the holding time of each process being 2 hours and 3 hours. The highest increase in carbon content was obtained from a process temperature of 1000 ºC with a biaxial pressure of 2 MPa and a holding time of 3 hours, amounting to 0.41% C. The greatest tensile strength is 823.6 N/mm2 obtained from a carburizing temperature of 900 ºC with a holding time of 2 hours and a biaxial pressure of 1 MPa. While the highest surface hardness achieved after the specimens were hardened at 900 ° C was 115.4 HRB obtained from a carburizing temperature of 1000 ºC with a holding time of 3 hours and a biaxial pressure of 1 MPa. The outputs of this research are Appropriate Technology in the field of adding carbon content to low carbon steel and modifying the mechanical properties of low carbon steel.

Keywords
biaxial, carburizing pack, soft steel, hardness

Topic
Mechanical Engineering

Link: https://ifory.id/abstract/864LxPD9Eepw

Corresponding Author
Muhammad Mukhlisin

Institutions
Politeknik Negeri Semarang

Abstract
Indonesia is a tropical country that has two seasons, rainy season and dry season. The wetting and drying of soil due to changing of the seasons caused change on soil properties such as moisture soil water content, effective soil porosity, soil suction etc. During rainy season, rainfall infiltration caused increasing of moisture soil water content in a soil slope, tends to reduce soil shear strength and followed by slope instability. In this study soil column experiment was set up with rain gauge station and YL-69 sensor to monitor rainfall infiltration and soil moisture water content. A wireless sensor network with low power wide area network technology integrated with the cloud to observe rainfall intensity and soil water content in soil column with realtime monitoring. The study focused on improving the accuracy of rainfall intensity and soil water content sensors readings using regression methods. The experiment results showed that rainfall intensity was observed accurately while for the YL-69 sensor, the error reading was 2.2% and the error reading capasitive soil moisture sensor was 1.8%.

Keywords
: rainfall intensity, soil moisture water content, wireless sensor network, low power wide area network.

Topic
Civil and Environmental Engineering

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

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

Corresponding Author
arif rahman saleh

Institutions
a) Department of Mechanical Engineering, Faculty of Engineering, Universitas Tidar, Magelang, Indonesia
*arifrahmansaleh[at]untidar.ac.id
b) Department of Mechanical Engineering, Faculty of Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
c) Department of Civil Engineering, Faculty of Engineering, Universitas Tidar, Magelang, Indonesia

Abstract
The main product of the slow pyrolysis process was char, while the additional products were volatile gas and bio-oil. Ideally, the pyrolysis process occurs in an inert condition or without air. in case there was air, the char will be oxidized and produce CO and CO2. In this study, the air addition with the amount under the stoichiometric was carried out in the slow pyrolysis process of oil palm frond. The influence on the distribution of pyrolysis products in the form of char, volatile-gas, and bio-oil was analyzed using the Aspen Plus model. Pyrolysis temperatures vary from 300 - 600oC with a heating rate of 10oC / minute. The modeling results show an increase in the volumetric percentage of CO and a decrease in the percentage of char because that was consumed by a partial oxidation reaction. in case the amount of air continues to be increased, the percentage of CO decreases and CO2 increases. The results of the study can be used as a reference to optimize the slow pyrolysis process when the increase of volatile gases was desired.

Keywords
oil palm frond;slow pyrolysis;oxydative pyrolysis;aspen plus

Topic
Mechanical Engineering

Link: https://ifory.id/abstract/p9GY4TERvkHW

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

Corresponding Author
Mariana Kristiyanti

Institutions
Sekolah Tinggi Maritim dan Transpor “AMNI” Semarang

Abstract
Indonesia-s most territory is ocean. So, it is not impossible to make Indonesia as the world-s maritime centre or even as world-s maritime axis, as we dreamed. In the history of Amanna Gappa stated that the world-s maritime laws came from Nusantara. It becomes a strong background for Indonesia to rise through maritime. In order to do that, it requires sea management. Without a structured and integrated sea management, the dream of rising Indonesia through maritime will only be a dream. It becomes a benefit as Indonesia-s greatest God gifts is ocean which it is two-third of Indonesia-s geographical location. In order to take the benefit of it, Indonesia should have a distinctive sea management. It includes the concepts of defense, security and safeness. It is a soveregnity concept on the limitation and regulation at sea. As there are differences on land and sea concepts. There are clear fences or boundaries on land. On the contrary, sea is a wide open water with no boundaries. The foundation of Indonesia as the world-s maritime axis is hopefully by optimizing the sea management.

Keywords
Management, Maritime, Foundation, World Maritime Axis

Topic
Civil and Environmental Engineering

Link: https://ifory.id/abstract/2A8xNXkCdYyL

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

Corresponding Author
Anis Roihatin

Institutions
1 Mechanical Engineering Department, Politeknik Negeri Semarang,
2 Mechanical Engineering Department, Faculty of Engineering, Universitas Brawijaya, Malang, Indonesia

Abstract
ABSTRACT - The role of ships for Indonesia is very important as a trigger for economic development and inter-island liaison. In line with the Indonesian government program in realizing the sea toll program and as the ruler of the world maritime axis, the ship needs will increase rapidly then the shipping industry becomes the main foundation in supporting this program. However, the development of the shipping industry in Indonesia is still hampered because ship components are still largely imported. As many as 70% of ship components must be imported from abroad. While many domestic SMEs of ship components have not been standardized, so they have not been able to support the shipping industry. The purpose of this study is to formulate participatory rural appraisal strategy in realizing the standardization of ship components. The results of the research indicate that there are five main factors influencing the success of product standardization: function and performance of Local Working Group Platform, the involvement of strong certification institutions, availability of technical expert and supporting institutions, shipyard in Evaluation Monitoring. The standardization program undertaken by SMEs of ship component is very important to support the shipping industry in Indonesia.

Keywords
ship, SMEs

Topic
Mechanical Engineering

Link: https://ifory.id/abstract/8KbyvCajF7xg

Corresponding Author
KUSDIYONO KUSDIYONO

Institutions
Politeknik Negeri Semarang

Abstract
At present, plastic is a material that is needed by the community at large, where the impact is also very extraordinary after the plastic is used in everyday life which can cause serious problems if the management is not done properly. The problem of plastic waste does not only occur in the city of Semarang, but also in other cities, so that the Ministry of Environment and Forestry has implemented a paid plastic bag program in the short term. But this is only to deal with problems in the short term. In the long run, it will not solve the problem of "plastic waste", because the policy actually encourages people to buy plastic which, of course, will add a new burden for the community to buy it. Based on the above problems, it is necessary to utilize this plastic waste to be made into road pavement materials such as in the manufacture of Asphal Concrette Wearing Course, by making 5 mixed variations ranging from (2 to 10)% of the weight of the aggregate . This research was initiated through a survey process, material procurement, testing of stacking materials, making test specimens, testing specimens. The results of the research can show that the type of Thermosetting plastic waste has a significant influence on the Asphalt Concrete mixture AC-WC heat mixture, including: Density, Marshall Stability, Flow, VIM, VMA, MQ and the remaining Marshall Stability tend to show an increase, moderate VFA and VIMrefusal Density values tend to show a decrease. Thus the plastic waste from the Thermosetting type can be used as a partial replacement of the aggregate for the Asphalt Concrete mixture AC-WC heat mixture with a plastic waste content is limited to a maximum of 10% and at an optimum asphalt content of 5.55%. Thus this research is expected to be of benefit to the industry and the people of Semarang in relation to the use of plastic waste for road pavement.

Keywords
Plastic Waste, Concrete Asphalt Substitution

Topic
Civil and Environmental Engineering

Link: https://ifory.id/abstract/TQUAk72ehFvc

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

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

Corresponding Author
mst telkom

Institutions
1,2,3 Department of Civil Engineering Polytechnic State of Bandung, Bandung

Abstract
Abstract—Asphalt Concrete-Wearing Course is a layer that is located at the top of flexible pavement structure. Types of damage that often occur in the AC-WC layer are rutting and slippery. AC-WC modification with masterbatch SIR20 is a system that improves AC-WC performance in reducing deformation in pavement structure and improving crack and skid resistance. The method that is used in this study is an experimental method that compares and analyzes the performance of the modified AC-WC layer with variations of masterbatch content are 2%, 4%, 6% and 8% and 0% as a control. The 4% of masterbatch content in the AC-WC modification layer is an effective and efficient option to be applied as a surface layer of a pavement structure.

Keywords
Keywords—AC-WC, masterbatch, deformation resistance, skid resistance, rutting

Topic
Civil and Environmental Engineering

Link: https://ifory.id/abstract/GTB6qFtNbV3u

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