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Journal of Information Technology and Computer Science
Published by Universitas Brawijaya
ISSN : 25409433     EISSN : 25409824     DOI : -
The Journal of Information Technology and Computer Science (JITeCS) is a peer-reviewed open access journal published by Faculty of Computer Science, Universitas Brawijaya (UB), Indonesia. The journal is an archival journal serving the scientist and engineer involved in all aspects of information technology, computer science, computer engineering, information systems, software engineering and education of information technology. JITeCS publishes original research findings and high quality scientific articles that present cutting-edge approaches including methods, techniques, tools, implementations and applications.
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Articles 12 Documents
Search results for , issue "Vol. 3 No. 1: June 2018" : 12 Documents clear
Sugeno-Type Fuzzy Inference Optimization With Firefly and K-Means Clustering Algorithms For Rainfall Forecasting M.Shochibul Burhan; Wayan Firdaus Mahmudy; Rizdania Dermawi
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3521.752 KB) | DOI: 10.25126/jitecs.20183134

Abstract

Rainfall is very influential in our daily lives, ranging from agriculture, aviation, to flood-prone areas. The intensity of rainfall is used as an early detection for preventing harmful effects of rainfall. This research used Sugeno-Method Fuzzy Logic, in which the prediction is accomplished by mapping rules from the data obtained using the K-Means Clustering Algorithm as the classification to form the membership function and mapping rules and Firefly Alghorithm for optimization output. The test result from the 30 examined data found is 2.93 RMSE. This shows that the data support from K-Means Clustering and Firefly Algorithms of the fuzzy logic can predict precipitation accurately.
Introducing a Practical Educational Tool for Correlating Algorithm Time Complexity with Real Program Execution Gisela Kurniawati; Oscar Karnalim
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (714.019 KB) | DOI: 10.25126/jitecs.20183140

Abstract

Algorithm time complexity is an important topic to be learned for programmer; it could define whether an algorithm is practical to be used on real environment or not. However, learning such material is not a trivial task. Based on our informal observation regarding students’ test, most of them could not correlate Big-Oh equation to real program execution. This paper proposes JCEL, an educational tool that acts as a supportive tool for learning algorithm time complexity. Using this tool, user could learn how to correlate Big-Oh equation with real program execution by providing three components: a Java source code, source code input set, and time complexity equations. According to our evaluation, students feel that JCEL is helpful for learning the correlation between Big-Oh equation and real program execution. Further, the use of Pearson correlation in JCEL shows a promising result.
Service Design of Implementation Primary Health Care Management Model Service “Andal” in PG Kebonagung Polyclinic, Malang District Yasir Sani; Ismiartha Aknuranda; Herman Tolle
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.788 KB) | DOI: 10.25126/jitecs.20183145

Abstract

The concept of Primary Health Service Management Model “Andal” (LKP Andal) in Indonesia was initiated by the Public Health Association of Brawijaya University (IKEMAS UB) to solve the health service management problem in Indonesia. LKP Andal was piloted into a first-level organization that provide the health service/facility in PG Kebonagung polyclinic in Malang district.This research uses a service design approach to explore the problems and this study also provide a service solution to the LKP Andal implementation in IT perspective that suits to the organization characteristics as an entirely service delivery process support. As the result, this study has explored 23 main problems of the entirely service delivery process and also resulted 4 service solution ideas which were visualized using Service Journey Modelling Language (SJML) to acquire more detailed images and they can become the standard communication among stakeholders.
Peak Load Prediction Using Fuzzy Logic For The 150 kV Sulselrabar System Muhammad Ruswandi Djalal; Andareas Pangkung; Sonong Sonong; Apollo Apollo
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (827.352 KB) | DOI: 10.25126/jitecs.20183139

Abstract

Prediction of electrical load on 150 kV Sulselrabar electrical system, analyzed using approach at night peak load using Fuzzy Logic based intelligent method. The peak load characteristics are certainly different from the load in normal time, therefore a special approach is needed to predict the peak night load. As input data will be used data of night peak load in 2010 until 2015, on the same day and date, each 4 days before day-H or day date which will be predicted load. For the data processing stage is divided into several stages, namely pre-processing, processing, and post-processing. The load data processing follows several procedures, ie computing WDmax, LDmax, TLDmax and VLDmax each year. Data processing is processed using excel software and then using Matlab software to run Fuzzy Logic. From the analysis results obtained, Error Prediction The peak evening load is very small that is equal to -0.070033687%. As comparison data used actual day-H data is April 2016. The graph of analysis result also shown in this paper.Keywords– Fuzzy Logic Control, Load Forecasting, Error, VLDmax
E-Learning System Audit in Engineering Faculty of Nurul Jadid University using Cobit 4.1 Framework Anis Yusrotun Nadhiroh; Durratul Hikmah
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.184 KB) | DOI: 10.25126/jitecs.20183143

Abstract

Engineering Faculty of Nurul Jadid university has an adequate IT support in teaching-learning process, it is e-learning system. However, this system is poorly exploited by users due to a lack of awareness in the importance of information. This study aims at measuring how far the e-learning system performance works as students and lecturers’ service by doing audit e-learning system. The audit refers to COBIT 4.1 standard specially for domain Deliver and Support (DS). Research method is conducted by determining domain, control process, indicator, and mapping the maturity level. The result shows that after auditing the e-learning system, it recommends an improvement on security system in DS 5 process with index 3.11 and DS 7 process with index 3.14 i.e. providing a training for users.
User Experience on E-Government Online Services: A Case Study on The SIMPATIKA Service Application at The Ministry of Religious Affairs of Indonesia Bondan Sapta Prakoso; Apol Pribadi Subriadi
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (364.183 KB) | DOI: 10.25126/jitecs.20183152

Abstract

User Experience (UX) is increasingly popular as a success factor in a product, system or service in many sectors and industries, including government institutions. User Experience Questionnaire (UEQ) is one of the tools at measure UX. The purpose of this study is to measure UX on the SIIMPATIKA Service Application as one type of E-Government Online Services in the Ministry of Religious Affairs of Indonesia. There are 127 employees of Indonesian Ministry of Religious Affairs participating in this research as respondent. The results of this study found that the SIMPATIKA Service  obtained a very positive UX score on attributes of attractiveness, perspicuity, efficiency, dependability, and stimulation.   However, novelty has a score quite positive than other attributes .   The results of this study can be provides additional ideas for further development of the  application of SIMPATIKA  service at the Indonesian Ministry of Religious Affairs.
Extreme Learning Machine Weights Optimization Using Genetic Algorithm In Electrical Load Forecasting Vina Meilia; Budi Darma Setiawan; Nurudin Santoso
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1812.596 KB) | DOI: 10.25126/jitecs.20183154

Abstract

The growth of electrical consumers in Indonesia continues to increases every year, but it is not matched by the provision of adequate infrastructure that available. This causes the available electrical capacity can't fulfill the demand for electricity.  In this study, a smart computing system is build to solves the problem. Electrical load data per hour is being used as an input to do the electrical load forecasting with Extreme Learning Machine method. Extreme Learning Machine method uses random input weight within range -1 to 1. Before the electric load prediction process runs, genetic algorithms first optimizing the input weight.  According to the test results with weight optimization, MAPE average error rate is 0.799% while without weight optimization the rate rise to 1.1807%. Thus this study implies that Extreme Learning Machine (ELM) method with weight optimization using Genetics Algorithm (GA) can be used in electrical load forecasting problem and give better prediction result
Usability Evaluation of Mobile-Based Application for Javanese Script Learning Media Ratih Kartika Dewi; Nurizal Dwi Priandani; Komang Candra Brata; Lutfi Fanani
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.69 KB) | DOI: 10.25126/jitecs.20183146

Abstract

Indonesian people should actively preserve Indonesian culture. A way to preserve Indonesian culture can be done by using Javanese scripts as a local content subject at elementary to middle school level. In the conventional learning method, almost all teachers teach writing Javanese manuscript with conventional instructional media by using a white board. We proposed a mobile application that can help students to learn how to write Javanese script in attractive way by using their finger. Since this application still in prototype stage, further study and analysis of the usability of this application are necessary to validate the feasibility in real implementation. Usability testing using USE questionnaire had been conducted to find out if application of Javanese script writing can be accepted by users. We give 30 questions about usability to 5 respondents that are familiar with android application. The result show that, the proposed application is acceptable to users in term of Usefulness, ease of use, ease of learning and satisfaction.
Development of Academic Assessment Management Information System (Case Study: KB & TK Permata Iman) Firnanda Ifitah Dewi Antono; Satrio Agung Wicaksono; Aryo Pinandito
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (636.202 KB) | DOI: 10.25126/jitecs.20183156

Abstract

Education becomes an important thing to advance a nation. Therefore, everyone must follow the education level. One of education level is early childhood education. KB & TK Permata Iman which was established in 2005 is a private educational institution and focus on early childhood education. In learning evaluation, KB & TK Permata Iman still use conventional method. The conventional method takes much time because teachers need to collect daily grade until the end of a semester for final grade calculation and prepare the results in grade book. The semester learning evaluation process can be shortened and simplified using a web-based academic assessment management information system. The system can store, directly perform calculations when teachers add students’ grade and make grade book from saved grade. From the testing result, the time efficiency increased to 94.94% when evaluating semester learning using the system and it can help the teacher to save time and do another task.
Automation Of Independent Path Searching using Depth First Search Achmad Arwan; Denny Sagita
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1086.772 KB) | DOI: 10.25126/jitecs.20183162

Abstract

In a basis path testing, there are independent paths that must be passed/tested at least once to make sure there are no errors in the code and ensure all pseudocode have implemented on the code. Previously, the independent path was generated using the Genetic Algorithm, but the number of iterations influenced the likelihood of the emergence of the corresponding the independent path. Besides, the pseudocode was also unable to be used directly since it must be implemented first, this makes finding an independent path longer because it has to implement the code. This research aims to find out how to find the independent path directly from pseudocode using a graph and how well the Depth First Search algorithm in finding the independent path. It was chosen because it was able to find the paths from a point to a particular point in a graph. The result of the system accuracy test was able to find the correct independent path as much as 52 from 76 test data, where the result of accuracy is 68.4% on average.

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