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INDONESIA
Indonesian Journal on Computing (Indo-JC)
Published by Universitas Telkom
ISSN : 24609056     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Indonesian Journal on Computing (Indo-JC) is an open access scientific journal intended to bring together researchers and practitioners dealing with the general field of computing. Indo-JC is published by School of Computing, Telkom University (Indonesia).
Arjuna Subject : -
Articles 251 Documents
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Video Extraction Into PPG Signal To Identify Blood Pressure With XGBoost Method Adhan Mulya Rahmawan; Bedy Purnama; Bayu Erfianto
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 2 (2024): August, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.2.942

Abstract

Abstract
Diet and Physical Exercise Recommendation System Using a Combination of K-Means and Random Forest Muhammad Ilham Hafizha; Z. K. A. Baizal
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 2 (2024): August, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.2.959

Abstract

Public health has become a significant focus in this modern era due to the increasing number of people suffering from various diseases. Unhealthy diets and lack of physical activity are often associated with multiple health problems, one of which is obesity. Several studies have been conducted to develop food recommendation systems for individuals with obesity, using K-Means and Random Forest algorithms to provide food recommendations based on user-specific aspects. However, these studies do not provide supporting information, such as physical activity recommendations to address fitness issues or lack of physical activity. This study develops a diet and physical exercise recommendation system for individuals with obesity using a combination of K-Means and Random Forest. The system categorizes and classifies foods and physical exercises and provides customized recommendations based on user data analysis. The accuracy of the system was evaluated using the MAPE metric, with the highest accuracy for dietary food recommendations being 99.03% for the non-vegan lunch diet meal recommendation and the lowest being 70.74% for the vegan morning meal diet recommendation. The MAPE for physical exercise recommendations was consistently at 26.35%, indicating a stable accuracy of 73.65%. The test results show that the system recommends diet and physical exercise accurately.
PENGEMBANGAN WEBSITE DSS DI PT XYZ UNTUK BANTUAN PENDANAAN UMKM KOTA MATARAM MENGGUNAKAN SIMPLE ADDITIVE WEIGHTING Safa Salsabila Damara; Darwiyanto, Eko; Gandhi, Arfive
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 2 (2024): August, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.2.966

Abstract

This research aims to design and develop an efficient funding website for Micro, Small,and Medium Enterprises (MSMEs) in Mataram City using the Simple Additive Weighting(SAW) method at PT XYZ. The background of the research is based on challenges suchas the manual selection of MSMEs, which can be time-consuming and prone to errors incalculating scores or values. Additionally, the criteria scores lack a definite average valuefor each category, and there is a risk of losing MSME application documents due todisorganized collection, leading to scattered documents. In this advanced era, manycompanies use websites to support their programs, while PT XYZ still lacks such aplatform to support its funding program. Given these challenges, a website is needed tosupport the funding program and address existing issues. This research uses a qualitativeapproach, collecting data through literature studies, interviews, and observations. Theresults of this research show that using the Simple Additive Weighting (SAW) methodyields consistent final values in both manual and program-based tests and enables fasterselection
The Development of Backend Admin Dashboard for Business Project Monitoring using Scrum method: A case study at PT Gerbang Sinergi Utama Hutomo Putra, Daffa Arya; Eko Darwiyanto; Rio Nurtantyana
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 2 (2024): August, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.2.969

Abstract

Monitoring business projects is very important to ensure project performance goes according to plan. PT Gerbang Sinergi Prima (GSP) is one of the subsidiaries of the Pension Fund of PT PLN (Persero), which is engaged in Information and Communication Technology. Currently, GSP monitors project performance in a conventional way, which creates several challenges, such as difficulties in monitoring project progress and development. This study aims to develop a backend as an admin dashboard for a business project monitoring system using the Scrum method. Unlike other studies, this research also tests the results obtained with three tests, namely Black-Box Testing, Unit Testing, and Performance Testing. As a result, we built a backend admin dashboard for business project monitoring that supports GSP in real-time monitoring the progress of business projects. Furthermore, testing will also be conducted on the backend admin dashboard. The Scrum method was implemented with excellent results. Feature functionality testing using black-box testing gets a percentage of 100%. API testing using unit testing receives a percentage of 100%. The average response time obtained after executing performance testing is 2896.72ms, which means the results are feasible. Overall, the process of development and testing received excellent results.
Public Perception of Buying and Selling Bitcoin Using Lexicon Sentiment Analysis Muhammad Rahman Ali; Wijaya, Rifki; Yunanto, Prasti Eko
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 2 (2024): August, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.2.980

Abstract

This study investigates public perceptions of Bitcoin (BTC) trading using sentiment lexicon analysis. The rapid growth of cryptocurrency trading has attracted significant public interest and investment, making it crucial to understand the sentiments and opinions surrounding BTC transactions. By employing sentiment lexicon methods, this research analyzes tweets and social media posts to determine public sentiment. The study aims to identify trends and patterns in public opinion, providing insights into how sentiment impacts BTC trading behavior. Preliminary results indicate a correlation between positive sentiment and increased trading activity, while negative sentiment correlates with market declines. This research contributes to a better understanding of the role of public sentiment in the volatile cryptocurrency market.
The Development of a Mobile Application Using Scrum Pattern for Monitoring Project Information System Bulan Ayu Sari Muntai; Eko Darwiyanto; Rio Nurtantyana
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 2 (2024): August, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.2.970

Abstract

Project monitoring is an important aspect of project management that can affect project success. In interviews with PT Gerbang Sinergi Prima (GSP) stakeholders, project monitoring is still uses manual ways to make the process more efficient and accurate. As a result, it causes delays, cost overruns, or even project failure. Hence, this research aims to develop a mobile application for project monitoring at GSP. The development of the GSP project monitoring mobile application uses a Scrum pattern based on Agile methodology and testing with black-box and user accepted testing (UAT). The Scrum pattern could help the development team produce effective and efficient mobile application development according to changing project needs. The results showed that project monitoring using mobile applications has a positive effect on the effectiveness of project monitoring. Black box testing results showed 100% success on nine modules, ensuring all features functioned adequately. UAT showed 74% positive statements that met user needs and 46% negative statements indicating the application was quite convenient. Furthermore, the mobile project monitoring application is consistently and continuously used for all ongoing projects in the company. We suggested that it is necessary to conduct training for new users of the mobile project monitoring application.
The development of Network Power System Website using Extreme Programming Method: A case study PT Smartfren Surabaya Branch Mochamad Alif Fany Taftazani; Eko Darwiyanto; Rio Nurtantyana
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 2 (2024): August, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.2.972

Abstract

Latest advancements in information technology have been widely utilized in various sectors, including the processing and storage of corporate data. Data is an important asset for companies, like the PT Smartfren Telecom Tbk (Smartfren), a leading telecommunication service providers in Indonesia. One crucial dataset at the Smartfren Surabaya branch office is Network Power System (NPS) data, which is currently manually input and stored in Microsoft Excel, causing inefficiency and risk of human error. This study aims to create a website to manage NPS data using the Extreme Programming (XP) method. By doing so, NPS data with more than three thousand records can be easily processed and stored systematically. The research' procedure based on XP includes planning, design, coding, and testing with Black-box and User Acceptance testing with three iterations. Black-box testing result showed a 100% functionality level in each iteration, and User Acceptance Testing results were 87.09% in the first iteration, 87.27% in the second, and 92% in the third. Therefore, this confirms that the NPS website system successfully meets standards and the users’ needs. Hence, this study demonstrated the advantages of transitioning from manual way to web-based systems and developed using XP method to evolving the user needs.
The The Development of Front-end Website for Project Services Monitoring using Scrum Method: A case study at PT. Gerbang Sinergi Prima: A case study at PT. Gerbang Sinergi Prima Rizky Sampoerna; Eko Darwiyanto; Rio Nurtantyana
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 2 (2024): August, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.2.973

Abstract

The project service monitoring is one of the essential aspects of a company that ensures all project activities running well. In the current digital transformation era, competition in the digital world makes several companies to used efficient system in their business process, for example the business process at PT. Gerbang Sinergi Prima (GSP). In the prior observation, the project monitoring activities in GSP still use conventional way, which often requires more time and risk like data redundancy. Hence, this study developed a Front-End website for the project service monitoring with Scrum method to emphasize the development process in a complex manner and allow user needs. Differ from the other studies, the system testing used in this study uses the black box and usability testing from four participants with system usability scale (SUS). The results of the black box test showed a perfect score in the result. In addition, the results of testing using SUS got an average score of 63.125 which means this system can be acceptable quite good by users.
Lexicon-Based Sentiment Analysis of Indonesian Language Student Feedback Evaluation Firdaus, Raginda; Asror, Ibnu; Herdiani, Anisa
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 1 (2021): April, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.1.408

Abstract

Student feedback for lecturer plays an important role, it used to improve the quality of lecturer in teaching. In general, student feedback consists of two types, quantitative feedback and qualitative feedback. For quantitative feedback, it can easily analyze using statistical calculations, because it contains closed questions with multiple choices. But for qualitative feedback, it is difficult to analyze, because it contains open questions with essay answers. Lecturers can analyze manually, but it takes extensive times and the results can be very subjective. To overcome this problem, sentiment analysis is applied to analyze textual data automatically in order to improve teaching evaluations. This research uses student feedback as dataset, and lexicon approach with InSet Lexicon. In this research, the evaluation result shows that system accuracy is 90.9%.
Implementation of Naïve Bayes and Gini Index for Spam Email Classification Imadudin, Fikri Rozan; Murdiansyah, Danang Triantoro; Adiwijaya
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 1 (2021): April, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.1.452

Abstract

Email is a medium of information that is still frequently used by people today. At the moment email still has an endless problem that is spam email. Spam email is an email that can pollute, damage or disturb the recipient. In this study, we show the performance and accuracy of Multinomial Naïve Bayes (MNNB) and Complete Gini-Index Text (GIT) for use in spam email filtering. In this study, we used 6 cross-validations as testers for the built classification machines. We found that the average yield can exceed Multinomial Naïve Bayes without using feature selection which only uses 80000 features with a difference of 0.39%. Feature selection also increases speed during classification and can reduce features that are less relevant to the category to be classified.

Page 20 of 26 | Total Record : 251

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