cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Erna Piantari
Contact Email
jcs@upi.edu
Phone
+6285222044331
Journal Mail Official
jcs@upi.edu
Editorial Address
Department of Computer Science Education, Universitas Pendidikan Indonesia, Jl. Setiabudhi 229, Bandung, Indonesia
Location
Kota bandung,
Jawa barat
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
 1   2   3 
Development of a data-to-text (D2T) system to generate news on streaming data Ahmad Zainal Abidin; Enjang Ali Nurdin; 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.v5i2.70799

Abstract

This research aims to develop a Data-to-Text system with input in the form of streaming data in batch form, to generate news in general. The development of a Data-to-Text system model is carried out by applying Machine Learning to overcome Streaming data, with the Piecewise Linear Approximation technique using the Least Square method. The developed system produces data summary information, current data information, and prediction information. System development is carried out in the R programming language by utilizing several available packages. The experiment was conducted by measuring the Readability level of the news raised, Computation Time, and comparing the results withrelated research. The experimental results show that the information produced is proven to represent the data provided and can be understood by the student level or above, and the computational time is quite good. The system can generate information based on meteorological data, climatological data, and financial data.
Maturity Level Analysis of Politap’s Information Technology Governance Using COBIT 2019 Framework Rizqia Lestika Atimi; Refid Ruhibnur
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.v5i1.70791

Abstract

The implementation of information technology at POLITAP, intensively carried out since 2019, has consumed quite a bit of budget and resources, has a risk of failure, and in the future will become increasingly complex following the growth of the organization. This investment is expected to be directly proportional to the improvement of the organization's business processes and the achievement of organizational goals, thereby providing a competitive advantage for the organization. IT governance is a form of good corporate governance. For this reason, IT governance analysis is an important thing to do in the POLITAP environment. This research aims to analyze the maturity level of the implementation of information technology infrastructure at POLITAP using the COBIT 2019 framework. Maturity level analysis was carried out on the capability level assessment of four domains, namely, EDM, APO, BAI, and DSS. Based on the assessment results, the average capability level of the four domains is at level 1. Therefore, the maturity level of IT governance at POLITAP is at the initial level, which means that the overall goals of the organization have not been focused on being achieved because the IT governance process has not been properly organized. good and complete.
Predicting Solar Flares Using Data Products Vector Magnetic SDO/HMI dan Random Ferns Rooseno Rahman Dewanto; Lala Septem Riza; Judhistira Aria Utama
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.v4i2.71184

Abstract

Solar flares (SFs) are the most powerful bursts of energy in the solar system that often have a bad effect on space weather. Until now, the cause of its appearance is not known for sure. Nevertheless, SFs are known to have magnetic properties attached to them. Therefore, understanding the configuration of the magnetic field on the sun plays an important role in SFs prediction efforts. Using SFs flux data recorded by X-ray Sensors on the Geostationary Operational Environmental Satellite (GOES) which is mapped with 13 parameters of the magnetic vector data of the solar photosphere layer recorded by the Helioseismic and Magnetic Imager (HMI) at the Solar Dynamic Observatory (SDO) and the Machine Learning (ML) Random Ferns (RFe) algorithm,  This study tries to predict the emergence of multiclass SFs (B, C, M, and X) along with binary SFs (BC and MX). This study uses data from May 1, 2010 to May 10, 2020, with a total of 30 classes X, 443 classes M, 1032 classes C, 751 classes B, 473 classes MX, and 1783 classes BC. This study also applies the oversampling method to handle the imbalanced nature of the data on SFs data. Overall, it can be seen that predicting the occurrence of SFs using RFe is a valid effort. The highest average scores achieved by this study for sensitivity/recall, precision, and True Skill Statistics (TSS) in multiclass SFs were 74.4%, 50.3%, and 58.7%, respectively; and in binary SFs are 87.7%, 77.7%, and 72.8%.
Hamming Code at Marker-Based Augmented Reality on the Android Platform for Teaching Philosophy of Batik Wiwid Widyanto; Rosa Ariani Sukamto; Alejandro Rosales Pérez; Isma Widiaty
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.v1i1.24943

Abstract

Batik is one of the many cultural heritage of Indonesia that has high artistic value and has become the hallmark of a nation that must be preserved. Augmented reality (AR) is a technology that adds virtual objects into the real world. This technology could provide new ways of delivering information to users, a more interactive way. In this research, a system of marker-based AR tracking used the introduce batik was made. One type of augmented reality is AR marker-based tracking. To track markers, several there are steps that must be performed on every frame received from the camera android smartphone. Phase tracking in this study includes of conversion of images from the camera frame into a grayscale image, detects the contour, perspective transformations, and decoding algorithm using Hamming Code. Test-based results by author, tracking markers on this system could properly track 100% of each marker in normal circumstances, within a certain range depending on the size of the marker and at an angle of 45°. Test-based results by author, tracking markers on this system could properly track 100% of each marker in normal circumstances, within a certain range depending on the size of the marker and at an angle of 45°.
Implementation of Signature based Intrusion Detection System with Snort Rule on E-Voting System Muhammad Adnan Khairi A.S.; Eddy Prasetyo Nugroho; Rizky Rachman J.
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.v4i1.71176

Abstract

Security is an important thing for everyone, including network security, which everyone needs, including the security at web server, there are problems encountered on the server one of which is on the E-voting site server, this server serves to store all the data storage of votes in an election between registered candidates. In this paper we propose a solution to detect these attacks using SNORT IDS. snort will detect an attack by adding a special rule to handle the attack. We tested the proposed solution by comparing the system against four different attacks, the result was that DDoS attacks had the greatest number of data packets compared to other attacks.
Development of Academic Information System Mobile Application Prototype at SD Inpres Touiu, Rote Vienda Miccela Seldry; Hamidillah Ajie; Murien Nugraheni
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.v5i2.70801

Abstract

In era society 5.0, where technology is generally a supporting factor in many ways, it turns out that there are still some aspects that have not taken advantage of existing technology. For example, Inpres Touiu Elementary School, Rote in providing information is still done manually, such as the recipient of the information coming directly to the location of the information or information being delivered by the school to the recipient of the information such as the teacher coming directly to the house of each student. The purpose of this research is to produce a prototype of an Android-Based School Academic Information System with a Case Study of SD Inpres Touiu, Rote which is useful in providing an information system design in the form of a front-end, so that in the future it can be redeveloped into a real android application. The results of the development in the form of a high-fidelity prototype using the Flutter framework with the Waterfall Method resulted in the SIKALA prototype being tested for Usability Testing using Black box testing and the Think-aloud method. The results of the test got 94% good response and 100% overall task success.
Knowledge base development framework with fuzzy preference based on group decision maker Helen Sastypratiwi
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.v5i1.70792

Abstract

The knowledge base is a critical component in building intelligent systems, especially those related to systems that require expertise. However, one of the problems experienced is when collecting expert knowledge from more than one person. This knowledge is different from each expert that makes opinions and perceptions result in different decision results, and not necessarily, the decision can be accepted by other experts, in this case, psychologists. As a result, decision-makers have difficulty making the right decisions. This study developed a framework and strategies to build a knowledge base from several experts -with fuzzy preferences using a qualitative approach. Developing a framework for determining symptoms and disorders in children was taking a sample. Determining symptoms and disorders in children sometimes requires more than one expert in decision-making. Experts in this case act as decision-makers in giving preference to the symptoms. The result gives 20 symptoms with five behavior disorders in children that often occur. The data of symptoms and disorders obtained formed as much as 19 knowledge in IF- THEN with different weights. In the future, expert system machines can use this knowledge base collection by adding inference methods.
Exemplar Based Convolutional Neural Network for Face Search on CCTV Video Recording Winda Mauli Kristy; Yaya Wihardi; Erlangga Erlangga
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.v4i2.71185

Abstract

Many techniques can perform effective face searches, but generally, these methods require numerous samples, particularly when using deep learning approaches. However, there are scenarios where face searches must be conducted with limited samples, such as those obtained from CCTV video recordings, making prior training infeasible. In these situations, a method based on exemplars must be implemented. This investigation utilizes a convolutional neural network (CNN) approach coupled with two unique matching techniques: cross-correlation matching (CCM) and normalized cross-correlation matching (NCC). The study makes use of the Chokepoint Face Dataset, training the data through the optimization of triplet loss. The goal of the study is to evaluate the performance of these combined methods. Two different architectures are created and tested within each method to determine the accuracy of each architecture. The CNN-NCC method has been found to yield accuracy rates that surpass those of the CNN-CCM method by 2 to 17.9%. Nevertheless, it is important to note that the accuracy of the results is greatly influenced by the variations observed in the CCTV video recordings.
Prediction of Diarrhea Sufferers in Bandung with Seasonal Autoregressive Integrated Moving Average (SARIMA) Cacuk Jati Pangestu; Erna Piantari; Munir Munir
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.v1i1.25375

Abstract

Diarrhea is the second disease that causes death in children in the world. Every year, around 1.7 million cases of diarrhea are found and cause around 525,000 deaths in children under the age of five in the world. Proper analysis of health service data can help predict epidemics, cure, and disease, and improve quality of life and avoid preventable deaths. This research is aimed at predicting diarrhea sufferers in the future by using Seasonal Autoregressive Integrated Moving Average (SARIMA) and Seasonal Autoregressive Integrated Moving Average with explanatory X (SARIMAX) by involving climate factors in the form of average temperature and average humidity. The data used are data of diarrhea sufferers and climate in 2010-2019 in the city of Bandung. The result shows that there is not significant relation between temperature or humidity and the diarrhea cases. However, the SARIMA model had performed better than the SARIMAX model with the addition of climate factors to predict the diarrhea case in Bandung. The predictive accuracy of the SARIMA model obtained is 78.6%.
Implementation of Internet of Things Using Electrocardiogram Sensors to Identify Atrial Fibrillation Heart Disease Muhammad Ramdan Pamungkas; Wawan Setiawan; Lala Septem Riza
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.v4i1.71177

Abstract

Atrial Fibrillation (AF) is one of the most common heart diseases and increases the risk of stroke and heart failure up to five times. The symptoms of AF are very diverse and often asymptomatic, so an immediate examination is needed to detect it. Given the dangers of AF that could lead to heart failure or death, a diagnosis that can record daily heart rhythms is urgently needed. Research trends show increased use of the Internet of Things (IoT) due to its efficiency and real-time monitoring capabilities. The purpose of this study is to utilize the IoT concept by designing a prototype AF detection device called Atrial Fibrillation Detector (AFD) using a ESP8266 microcontroller device and an AD8266 Electrocardiogram (ECG) sensor. The results of the study show that AFD can identify AF through 4 main stages, including the process of recording ECG data, the process of sending data from the AFD device to the server, the process of processing data to identify the appearance of AF and the process of sending notifications if there is an indication of the appearance of AF. To further test AFD, two experimental scenarios were applied; blackbox testing and comparison of the suitability of AF detection results. In the first experiment, AFD managed to pass the total number of scenarios that existed at 16 scenarios. In the second experiment, AFD only managed to identify exactly 9 out of 15 scenarios.

Page 1 of 3 | Total Record : 26

 1   2   3 

Filter by Year

2020 2024


Reset
Filter By Issues
All Issue Vol 5, No 2 (2024): JCS: September 2024 Vol 5, No 1 (2024): JCS: June 2024 Vol 4, No 2 (2023): JCS: September 2023 Vol 4, No 1 (2023): JCS: June 2023 Vol 1, No 1 (2020): JCS: June 2020