Indonesia Conference Directory

Corresponding Author
Yossrizal Ramadhan

Institutions
Departemen Teknik dan Ilmu Komputer, Universitas Komputer Indonesia, Indonesia

Abstract
The purpose of this study is to identify the importance of using information technology for security, especially for supervision. The method used in this research is descriptive method, describing the function of using smart phones as a security tool. The results of this study that smart phones can be used as a security tool by using a cellphone camera as a surveillance camera and wireless computer network. This research was carried out with the results of analysis and experiments using previous references and supporting equipment. From the results of this study it can be found that smart phones can be utilized as security systems. Therefore the results of this study can be utilized by various parties or can be used as a reference in the use of technology and information.

Keywords
Information technology, smartphone, cellphone camera, security tool

Topic
Electrical and Computer Engineering

Link: https://ifory.id/abstract/ACjufg3UQyD2

Corresponding Author
Tri Rahajoeningroem

Institutions
Electrical Engineering, UNIKOM
tri.rahajoeningroem[at]email.unikom.ac.id

Abstract
This research explains about a biometric system that uses iris pattern for Safe Deposit Box Users. Matlab is used for processing the iris pattern. In the process of image processing, there are several processes such as segmentation, extraction and identification. The initial phase of segmentation will be proceed by using canny edge detection then continued by hough circle transform to detect the center circle of iris. The second process is by extracting where the image of segmentation will be proceed by using haar wavelet transformation, the image will be changed to another form by decomposition of the vertical and horizontal image of the iris in order to get the data from iris image of user. The last phase is identification. In this stage, hamming distance method that will read the iris data in the database that has get through both phases and compare it with image captured by the webcam camera. If the image of user has been detected, then the safe deposit box will be opened. The advantages of this system is the iris pattern is very stable and different form each individual so it is not easy to be manipulated.

Keywords
security system, iris pattern, image processing

Topic
Electrical and Computer Engineering

Link: https://ifory.id/abstract/AvtPa3WH9NqC

Corresponding Author
Taufiq Nuzwir Nizar

Institutions
Computer Engineering Department, Faculty of Engineering and Computer Science
Universitas Komputer Indonesia, Jl Dipatiukur 112-116 Bandung
*taufiq.nuzwir[at]email.unikom.ac.id, **sri.supatmi[at]email.unikom.ac.id, ***ekoprabowoputro[at]gmail.com

Abstract
This paper discussed about the feature detection problem in the computer vision affected by the brightness change. The presented descriptor is Scale Invariant Feature Transform (SIFT). The method is an algorithm in computer vision to detect and describe local feature in image which robustly identify object and invariant to uniform scaling, orientation, brightness changes, and partially invariant to affine distortion. We implement this algorithm to Robowaiters object detection system that must detect and recognize objects around its task like food, beverage, refrigerator and any kitchen objects. For this analysis case, we use beverage box image for sample image. The algorithm detects and recognize the image in normal brightness, and then the image brightness value increased and decreased. In the implementation, the algorithm success to detect and recognize the presented objects and distinguish it with success rate of 93.5% of image brightness increase and 95.5 % of image brightness decrease. Based the result, SIFT algorithm is robust to illumination changes for our case.

Keywords
SIFT, Brightness changes, computer vision, local image descriptor, feature.

Topic
Electrical and Computer Engineering

Link: https://ifory.id/abstract/w89CtxvAkRqP

Corresponding Author
Rodi Hartono

Institutions
Universitas Komputer Indonesia

Abstract
Applying a speed control system to a mobile robot needs to be done to make the robot move stably in an uneven environment with the variation of load. This study designed a speed control system for a mobile robot to follow setpoints with a fast response to reach a predetermined speed. The speed controller uses the fuzzy logic control method. The input is a speed error and the change in speed error is known from an encoder sensor and the output of the system is pulse width modulation (PWM) in the range of 8-bit converted to fuzzy forms. The rule formation and rule analysis with its implication function use the MIN function and defuzzification use the weighted average method. By implementing this fuzzy control the results of the robot move at the speed corresponding to the setpoint both on flat or uneven terrain, with load or without load. In experiments carried out on robots with a setpoint of 9,000 rpm from rest, the response time (in rise-time) is less than 47 ms and steady-state error close to zero.

Keywords
Speed control system, Mobile robot, Fuzzy logic controller

Topic
Electrical and Computer Engineering

Link: https://ifory.id/abstract/3UZKPX9Yq4fA

Corresponding Author
Ednawati Rainarli

Institutions
Universitas Komputer Indonesia

Abstract
This research focused on determining the machine learning model that used to predict bankruptcy. It got the data from the financial statements of public companies; reported by the Indonesian Stock Exchange from 2009 until 2015. The predictions of the bankruptcy used the training model of machine learning method. The analyzer features were the accounting ratios; used in a statistical analyzing of the financial statement. Handling missing values, choosing correlation features that related to classes, and dealing with imbalanced dataset were some problems have been solved at the beginning of the preprocessing phase. The training process used the preprocessing result to fit the data with the prediction model. Accuracy is used to measure the performance of the models in predicting bankruptcy. The results are Sequential Minimal Optimization (SMO) with Linear kernel functions works the best to predict 1-year before bankruptcy with the accuracy of 91.57% and SMO with Radial Basis Function (RBF) works well to predict 2-years before bankruptcy; the accuracy is 93.8%. This study has shown the influence of feature selection and normalization processes in making precise predictions and has shown SMO as a potential method to make predictions.

Keywords
prediction, bankruptcy, accounting ratio, machine learning, missing value, feature selection, imbalanced dataset

Topic
Electrical and Computer Engineering

Link: https://ifory.id/abstract/9aXgGxVJj4v3

Corresponding Author
Mujhan ilmi

Institutions
Universitas Komputer Indonesia Jl. Dipati Ukur No.112-116, Lebakgede, Coblong, Kota Bandung, Jawa Barat 40132
mujhanilmi[at]email.unikom.ac.id

Abstract
The idea of writing this paper originated from a case study on the smart toilet room Smart Building UNIKOM where there was a shortage in the PIR sensor, the sensor was blocked by objects (walls). To cover up the weakness, the author tries to combine with the image motion sensor on the CCTV system as an addition that can provide input commands for the PIR sensor to delay the termination of the power source in the smart toilet room. The method used is by exploring existing literature and related research. From the search results, there has been no possibility of merging using only these two devices. Technical experiments are still needed on devices that might be used such as Raspberry Pi, Arduino or others.

Keywords
Passive Infrared Sensor, Image Motion Sensor, Closed-Circuit Television

Topic
Electrical and Computer Engineering

Link: https://ifory.id/abstract/3UmaRyEcWAK4

Corresponding Author
Assyfa Octaviyani Istiqomah

Institutions
1Departemen Ilmu Komunikasi, Universitas Komputer Indonesia, Indonesia
2Departemen Teknik dan Ilmu Komputer, Universitas Komputer Indonesia, Indonesia

Abstract
Abstract. Marketing in online media is the activity of delivering information about certain products by utilizing media accessed through the internet network. Online media marketing with the provisions of online advertising is published on various pages of websites such as websites. Although online media is said to be an effective medium in advertising, it is important to know the types of online advertising that can meet prospective customer information. The purpose of this research is to find out the type of online advertising and its understanding to prospective consumers in obtaining information. Th method used in this study is a qualitative approach, with this descriptive research method, to determine the understanding of types of online advertising that can meet consumer information needs. This research was carried out by Universitas Komputer Indonesia students on several websites that contained online advertisements. Relevance and impact clearly show that online ads that are packaged attractively and contain information as needed can illustrate the understanding of consumers to attract consumer buying interest

Keywords
Online Advertising

Topic
Electrical and Computer Engineering

Link: https://ifory.id/abstract/ZdqbXCf7GtgH