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Erna Piantari
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Department of Computer Science Education, Universitas Pendidikan Indonesia, Jl. Setiabudhi 229, Bandung, Indonesia
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INDONESIA
Journal of Computers for Society
Published by Universitas Pendidikan Indonesia
ISSN : -     EISSN : 27234088     DOI : https://doi.org/10.17509/jcs.v5i2
Core Subject : Science, Education, Engineering,
Computer Science & IT Engineering Library & Information Science Mathematics
The Journal invites original articles and not simultaneously submitted to another journal or conference. The whole spectrum of computer science are welcome, which includes, but is not limited to - Artificial Intelligence, IoT and Robotics - Data Analysis and Big Data - Multimedia and Design, - Software Engineering, - Computer Networking, - Information System, and - Applications of computer science in education, agriculture, government, smart city, bioinformatics, astrophysics, simulation and modelling, etc.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 26 Documents
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Application of Unplugged Computer Science Based on Ethnopedagogy as a Teaching Alternative in Basic Programming Algorithms Subjects Bara M. Buana; Lala S. Riza; Asep Wahyudin
Journal of Computers for Society Vol 4, No 1 (2023): JCS: June 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v4i1.71174

Abstract

This research is motivated by the lack of equal distribution of technology in regions of Indonesia, including Papua, Sulawesi and even Java, which is still not evenly distributed, so that technology education in some areas is difficult to progress and develop. Therefore, the aim of this research is to design and implement Ethnopedagogy-based Unplugged Computer Science (UCS), creating animation-based media as documentation to make it easier for teachers to understand UCS. The UCS method is a method for teaching computers without using computers and is based on ethnopedagogy, so technology learning can be done using cultural elements, both traditional tools and traditional games from a region in Indonesia. In designing Ethnopedagogy-based UCS, 4 stages are carried out, namely compiling the material, determining the ethnopedagogy tools or games that will be used, mapping the material as well as abstracting ideas for ethnopedagogy-based UCS and preparing steps for Ethnopedagogy-based UCS that will be carried out by teachers and students. The waterfall method is used as a reference for creating animated media as documentation of Ethnopedagogy-based UCS.
Correlation Analysis of Open Street Map, Demography, and Vaccination on the Number of Covid-19 Cases Using Multiple Linear Regression and Pearson Correlation Product Moment Aqhbar Habib; Erna Piantari; Lala Septem Riza
Journal of Computers for Society Vol 5, No 2 (2024): JCS: September 2024
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v5i2.70798

Abstract

At the beginning of 2020, the world was shocked by the spread of Coronavirus Disease 2019 (Covid-19). The resulting losses cover various areas. This research aims to analyze the correlation between spatial data, demographic data, and vaccination data on the spread of Covid-19 in Bandung City using Multiple Linear Regression (MLR) and Pearson Correlation Product Moment (Pearson's r). The results show that there are only 3 variables that are significantly correlated with Covid-19 cases. The lowest variables are Residential, Population Density, and Healthy Homes. Has a significant simultaneous correlation with Covid-19 cases with a coefficient of determination (R^2) of 0.55404. The model built also passed the 3 Classical Assumptions test so that the results can be trusted for their level of truth and feasibility. The results of experiments using the Pearson's r model involving 5 vaccination periods show that out of 30 sub-districts in Bandung City, there are 20 sub-districts that have a significant correlation between vaccination and the addition of Covid-19 cases and have a negative correlation direction of 80.54%. The results of the Pearson's r model experiment involving 6 vaccination periods show that there are 9 sub-districts that have a relationship. With a negative correlation direction of 72.93%.
Apache Spark Implementation on Algorithms Boyer-Moore Horspool for Case Studies Internal Transcribed Spacer and Restriction Enzyme Fidela Zhafirah; Topik Hidayat; Lala Septem Riza
Journal of Computers for Society Vol 5, No 1 (2024): JCS: June 2024
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v5i1.70790

Abstract

The huge increase in the amount of data is a problem today. The increase in large amounts of data makes storage very large and processing data becomes very long. Meanwhile, the speed of the process is very necessary to streamline time. This research is dedicated to solving storage and process problems as a big data processing solution by creating a string matching computational model using the Boyer-Moore Horspool algorithm using the Big Data platform, Apache Spark where the Hadoop Distributed File System as data storage on the cluster. In this study, a comparison of string matching process time between stand-alone, the use of Apache Spark single nodes, the use of Apache Spark 3 nodes, 5 nodes, 11 nodes and 16 nodes using Hadoop Distributed File System storage on clusters on Google Cloud Platform. The case study used is bioinformatics by solving two problems in the field of biology, namely the search for motives related to determining the group of flowering plants with other plant groups and the search for motives as detection of begomovirous symptoms as the cause of curly leaf disease. In the results of the study, insignificant time was obtained because the data used could still be processed by classical programs so that the execution time was not much different. The accuracy of the program run on Apache Spark is 83.5%.
Implementation of Inverse Document Frequency (TF-IDF) and Cosine Similarity Terms in Determining Research Reviewers for Indonesian Education University Lecturers Hazmi Ramadhan Adli; M. Munir; Rani Megasari
Journal of Computers for Society Vol 4, No 2 (2023): JCS: September 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v4i2.71183

Abstract

Research is a mandatory activity for lecturers at the Indonesian Education University. The Institute for Research and Community Service (LPPM) oversees these research activities. Before research can commence, the research proposal must be tested or reviewed by an Examining Lecturer (reviewer). Reviewers are selected based on the similarity between the researcher's and the reviewer's variables and the availability of the reviewer's quota. This selection process utilizes the Term Frequency Inverse Document Frequency (TF-IDF) and Cosine Similarity methods to measure the similarity between queries and documents, specifically abstracts and scientific fields. This approach results in reviewer recommendations with an accuracy of 83.3%, as validated by experts.
Software Bug Prioritization in Beta Testing Using Machine Learning Techniques Anum Waqar
Journal of Computers for Society Vol 1, No 1 (2020): JCS: June 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v1i1.25355

Abstract

Testing in Software Development Life Cycle is one of the most crucial activities. Bug prioritization has been a manual process for long. Our paper provides a methodology for ease of bug prioritization in beta testing phase. In the methodology, data from various bug reports is supplied into a model and, through machine learning, the model outputs fairly accurate bug priority based on historical data.
Intelligent and Modular Based Attendance System Haseeb Tanveer; Fazal ur Rehman
Journal of Computers for Society Vol 4, No 1 (2023): JCS: June 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v4i1.71175

Abstract

This research paper presents a novel approach for solving Schools/Colleges/Universities/Offices attendance related issues using modular based approach. Radio Frequency Identification System (RFID) is used for person identification. An android application is built which communicates with RFID readers. A completely separate database is developed which is continuously automatically updated from android application. Android applications are developed based on modular approach so that customized system can be provided according to the institution requirements. System features were tap and go based attendance system, automated attendance reports to superiors, integrated door lock with attendance system, turnstile control, real time picture using front camera of smart mobile, institution entry/exit-based attendance solution, individual attendance system for each department/classrooms/supervisors and message/email to parents/superiors, parent-teacher communications. Results suggest that the institution felt more comfortable with modular based approach. Parents were satisfied due to timely attendance messages of their children.

Page 3 of 3 | Total Record : 26

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