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Tri A. Sundara
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The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,127 Documents
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PENERAPAN METODE PIECES UNTUK ANALISIS TINGKAT KEPUASAN PENGGUNA DALAM APLIKASI MOBILE BANKING MANDIRI Azzahrah, Fatimah; M. Rudi Sanjaya; Dedy Kurniawan; Dwi Rosa Indah
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4577

Abstract

This study analyzes users of the application known as Livin’ by Mandiri using the PIECES method, which includes indicators in the form of “Performance, Information, Economy, then also Control, Efficiency, and Service”. The researchers used a Likert scale via an online questionnaire by distributing the questionnaire to 201 active app users, supported by relevant literature. The research instrument was tested for validity and reliability, and all parameters were found to be valid and reliable. Descriptive quantitative analysis showed high satisfaction, particularly on the Efficiency (4.30) and Performance (4.26) indicators. The PIECES method proved effective in identifying key aspects that influence user satisfaction, offering recommendations for the development of digital services. Bank Mandiri and various other banks can use this discovery to create improved service quality with technology base that makes customers feel satisfied because their needs can be served more optimally.
PENERAPAN METODE USABILITY UNTUK MENENTUKAN TINGKAT KEPUASAN PADA SISTEM MOBILE M-BANKING BRIMO Haristina Putri, Maulida; Sanjaya, M. Rudi; Kurniawan, Dedy; Indah, Dwi Rosa
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4578

Abstract

This study aims to analyze the level of user satisfaction with the BRImo Mobile Banking application using the usability method.Research fokus includes usability aspects:learnability, efficiency, memorability, errors, and satisfaction. Data obtained through questionnaires distributed to 252 respondents in Palembang City.The results showed learnability had communalities of 0.599-0.703 and correlations of 0.432-0.514, while efficiency achieved communalities of 0.585-0.649 with correlations of 0.415-0.550.In contrast,errors had a significant negative impact,with a correlation of -0.352 to -0.488, indicating the more errors,the lower user satisfaction.Memorability shows communalities values between 0.511 to 0.663. BRImo application features, such as efficiency in transaction access speed (efficiency_2 and efficiency_3) which have a correlation of 0.498-0.550,as well as overall ease of access (learnability_5) with a correlation of 0.467,have a positive influence on user satisfaction. Technical issues such as bugs,crashes, and slow applications negatively impact user satisfaction,with errors_5 having low communalities of 0.445 and a significant negative correlation of -0.382,indicating technical errors strongly influence user
Perancangan dan Evaluasi Antarmuka Platform Pembelajaran Pengurangan Sampah Makanan pada Studi Kasus Mama4Planet Lina Fitra; Harry Budi Santoso
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4582

Abstract

This research is driven by the need to promote behavioral change through education on reducing food waste, as exemplified by the initiatives of Mama4Planet. Therefore, there is a need to develop a digital learning media that meets the needs of stakeholders and users through interface design. This research uses a user-centered design approach. Requirement discovery was carried out through stakeholder and 15 user interviews so that the outputs were three user personas, user journey maps, and value proposition canvases. A total of 8 user flows and 19 wireframes were also the outputs of this phase. Furthermore, prototyping was carried out by providing interactions between pages and other components that refer to the user flow. The evaluation stage was done through two iterations of usability testing with results showing an increase in completion rate, time-based efficiency, and SUS score from 63.8 or grade C- to 79.0 or A-.
Usability Evaluation and Recommendations for Improving the Geospasial Information System in Supporting the One Map Policy in Indonesia Singgih Dwi Saputro; Harry Budi Santoso
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4584

Abstract

The One Map Policy (OMP) is the government's strategic direction in fulfilling one map that refers to one geospatial reference in Indonesia. As a decision supporter for resolving land use discrepancies, the Information System for Indicative Maps of Overlapping Thematic Geospatial Information (SIPITTI) can accelerate the implementation of the OMP. This research aims to evaluate the usability of SIPITTI to support the resolution of overlapping land use in OMP and then design improvements to SIPITTI. This research was conducted using mixed methods, where quantitative data collection was carried out through questionnaires using the Post-Study System Usability Questionnaire (PSSUQ) and System Usability Scale (SUS). The qualitative data collection was done through usability testing. Nine respondents to the questionnaire and usability testing were involved in collecting initial needs data, which became input for the design. The results of the data analysis obtained a design that applied the principles of Shneiderman's Eight Golden Rules of Interface Design. Prototype improvements were evaluated through two techniques: usability testing and questionnaires:PSSUQ and SUS. The evaluation results using PSSUQ obtained an average value above the standard, namely overall (2.22), system usefulness (2.13), information quality (2.31), and interface quality (2.11). The SUS evaluation results amounted to 74; the value is included in the B- or Good category.
Evaluasi Aksesibilitas Pengguna Pada Platform Merdeka Mengajar Dengan Web Content Accessibility Guideline 2.2 Nurhady, Rizki Ramadiansyah; Hadi Putra, Panca
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4585

Abstract

Web accessibility evaluation of government platforms is crucial for inclusivity. This study assesses the accessibility of Platform Merdeka Mengajar (PMM), a digital platform developed by Indonesia's Ministry of Education for teachers and educational staff. The focus is on evaluating PMM's compliance with web accessibility standards, considering the importance of inclusivity in digital education, especially for visually impaired users. Methodology involves evaluation based on Web Content Accessibility Guidelines (WCAG). Results reveal 450 accessibility issues across 94 PMM pages, including problems with non-text content, information relationships, color contrast, link purpose, headings, labels, and element naming. Recommendations for fixing accessibility issues are provided for 43 pages meeting A and AA conformance levels. In conclusion, PMM requires significant improvements to become more inclusive, and this research presents recommendations based on WCAG standards to enhance the platform's accessibility.
Digital Forensic Ethical Data Handling in Indonesia Thealma, Feby; Rudelviani, Yova
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4588

Abstract

Digital evidence in digital forensic investigations may contain sensitive information which includes private data, however none of the digital forensic standards used in Indonesia focuses on the ethical data handling aspect. Concerning the recent release of Indonesia’s Private Data Protection law, this research aims to find clauses in the law that has not been addressed in the digital forensic standards. This research is conducted by correlating Indonesia’s Private Data Protection law against digital forensic standards used in Indonesia to find how Indonesia’s Private Data Protection law has been complied with the usage of digital forensic standards. As of now, only half of the existing digital forensic standards used in Indonesia has explicitly complied with Indonesia’s Private Data Protection law and there are room for improvement to enhance digital forensic ethical data handling in Indonesia.
How is Software Engineering Linked to Business? A Scopus-Based Bibliometric and Visualization Almagribi, Ahmad Bilal; Ardianto, Fikky; Taufan, Anas; Kristomo, Domy
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4590

Abstract

Software engineering has significantly impacted various fields, including business, yet there had been no comprehensive bibliometric analysis of its interaction with business until this study. This research filled the gap by examining key contributors, affiliations, countries, and leading journals using a bibliometric analysis of 100 Scopus-indexed documents. The study revealed a peak in publications in 2008 with 11 documents, highlighting Gruhn, V. from Universität Leipzig, Germany, as the most prolific author. Both Germany and the United States were prominent, contributing 21 documents each. "Lecture Notes in Computer Science," along with its subseries, emerged as the most cited reference. The keyword analysis identified four main clusters focusing on the integration of IT, practical business applications, the role of education, and project management. The study recommends expanding research into Agile methodologies, UX Design, and technologies like AI, Cloud Computing, and IoT, providing insights into integrating software engineering into business strategies for future challenges.
Optimizing Climate Forecasts Across 16 Zones Using Regression-Based Machine Learning Models Ardin; Budi, Indra
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4593

Abstract

The XYZ Climatology Station faces challenges in improving the accuracy of decadal rainfall forecasts, with an average achievement of 57.4% in 2022 and 58.8% in 2023, below the organizational performance target of 70% accuracy as set in its strategic objectives. This study aims to develop machine learning-based predictive models for 16 climate zones to enhance forecast accuracy. Five regression algorithms—Multiple Linear Regression, Support Vector Regression, Extra Trees Regression, Random Forest Regression, and Decision Tree Regression—were tested under two scenarios: input variable variations (VR) and time series data length (TS). Results showed that the VR scenario increased average accuracy to 71.7% (2022) and 69.4% (2023), while the TS scenario achieved 73.1% (2022) and 72.6% (2023). Support Vector Regression and Extra Trees Regression demonstrated the best performance in most zones. These models are expected to be operationalized to improve climatological information services and better meet public and stakeholder needs.
Penilaian Tingkat Kematangan Kualitas Data dalam Sistem Manajemen Aset: Studi Kasus dari Perusahaan Energi dan Utilitas , PT XYZ Ramdhan Megantara, Mufqi
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4594

Abstract

Nowadays data assets have become critical for organizations, especially in asset-intensive industries like energy and utilities. PT XYZ, an energy, and utilities company in Indonesia, relies heavily on its assets and began transforming its asset management system using top-down approach in 2022. During this transformation, the organization faced significant challenges related to data quality. A maturity assessment based on David Loshin’s framework evaluated eight data quality domains and revealed an average maturity score of 2.06, indicating an initial-repeatable level with significant gaps in standards, technologies and performance management. These gaps hinder the achievement of strategic goals, including ISO 55001 certification. By integrating best practices from DMBOK and the Institute of Asset Management, a comprehensive recommendation was developed to address 31 identified gaps and elevate data quality maturity to defined level. Key recommendations include establishing robust governance, adopting advanced data quality technologies and implementing standardized policies, procedures and reporting to improve organizational performance.
Optimization by Nature: A Review of Genetic Algorithm Techniques Waysi, Diyar; Ahmed, Berivan Tahir; Ibrahim Mahmood Ibrahim
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4596

Abstract

The Genetic Algorithm (GA) is a technique that uses the selection principle of genetics to optimize the search tool for challenging issues. It is used for research and development as well as machine learning in addition to optimization, the purpose of this literature review is to determine the current state of research on the use and applications of genetic algorithms (GAs) for optimization across a range of sectors. Natural selection and biological evolution serve as the foundation for genetic algorithms (GAs), which replicate solutions through crossover, mutation, and selection. The review accentuates the diversity and universality of GAs in solving numerous complex problems such as path finding, image analytics and data referral systems. It examines the effectiveness of GAs in solving optimization problems as compared to other methods and focuses on GAs efficient properties in searching large and chaotic solution spaces. The results indicate that GAs can be considered as a strong result-oriented tool to further improve the machine learning and artificial intelligence operability.

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