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INDONESIA
Indonesian Journal of Computer Science and Engineering
Published by CV. Cendekiawan Muda Sriwijaya
ISSN : 30629497     EISSN : 30629519     DOI : https://doi.org/10.70656/ijcse.v1i02
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering
1. Artificial Intelligence and computer application 2. Data science, statistics and analytics 3. Information system 4. Geospatial and image processing 5. Computer networking and security 6. Engineering 7. Electrical and instrument aplication 8. Quantum and physic modelling 9. Education technology and implementation
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 31 Documents
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Analisis Integrasi Komponen Arsitektur MVC dalam Pengembangan Aplikasi Web Gunawan, Fassrah Putra; Arlita, Diosi Putri; Presia, Intan Oktaviani; Ibrahim, Reyhan Maulana; Rabbani, Muhammad Ripal; Buhar, Muhammad Tariq Pratama; Habibi, Muhammad Sahlan
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Nomor 01, Mei 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v2i01.310

Abstract

Perkembangan teknologi informasi yang pesat mendorong kebutuhan akan sistem aplikasi yang terstruktur, mudah dikembangkan, dan mampu berintegrasi dengan sistem lain. Arsitektur Model-View-Controller (MVC) telah menjadi pendekatan populer dalam pengembangan perangkat lunak karena kemampuannya dalam memisahkan komponen logika bisnis, tampilan, dan kontrol alur data. Penelitian-penelitian menunjukkan bahwa penerapan MVC secara konsisten dapat meningkatkan efisiensi pengembangan, kemudahan pemeliharaan, serta fleksibilitas integrasi antar modul dan sistem yang berbeda. Selain itu, kombinasi MVC dengan pendekatan arsitektur lainnya seperti Service-Oriented Architecture (SOA) dan pemanfaatan RESTful API memperkuat kemampuan integrasi lintas platform dan sistem. Integrasi tersebut memungkinkan sistem informasi saling berkomunikasi dan bertukar data secara efektif, seperti yang terlihat pada implementasi di sektor pendidikan, pengelolaan data akademik, manajemen sampah, dan e-commerce. Dengan desain modular, MVC menjadi fondasi kuat dalam pengembangan aplikasi web modern yang tidak hanya fokus pada fungsionalitas, namun juga pada interoperabilitas antar sistem yang beragam.
Mekanisme MVC-Pemrograman Web Pada CMS Yang Memiliki Basis AI Sirait, Migel; Qavidhufahmi, Akhmat; Montaghib, M. Ihtifanul; Setiawan, Yudi; Erlanshari, Aan; Panca, Yusran Putra; Wijanarko, Andang
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Nomor 01, Mei 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v2i01.311

Abstract

Artikel ini membahas penerapan arsitektur Model-View-Controller (MVC) dalam pengembangan Content Management System (CMS) modern yang mengintegrasikan teknologi kecerdasan buatan (AI). Dengan struktur modularnya, arsitektur MVC memberikan kemudahan dalam memisahkan logika, antarmuka, dan kontrol aplikasi. Integrasi AI dalam CMS meningkatkan kemampuan otomatisasi, analisis perilaku pengguna, dan interaksi berbasis konteks. Tulisan ini menyajikan hasil studi pustaka yang mencakup penerapan MVC dan AI dalam pengembangan CMS dengan studi kasus dari framework Laravel dan implementasi di Indonesia.
Desain Sistem Informasi Rekam Medis Digital untuk Optimalisasi Pelaporan Imunisasi Bayi Baru Lahir di Puskesmas Gunung Sembung Chicy Indah Sari; Yuyun Yunengsih; Falaah Abdussalaam
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Nomor 01, Mei 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v2i01.317

Abstract

This study aims to develop a medical record information system that supports faster and more accurate reporting of newborn immunization data at Gunung Sembung Public Health Center (Puskesmas). The identified issue involves the mixing of newborn vaccination data with that of older children, alongside a manual reporting process that hampers timely submissions to the Health Office. A descriptive qualitative approach was employed, with data collected through observation, interviews, and literature review. The system development followed the V-Model methodology within the Software Development Life Cycle (SDLC) framework. The results show that the developed system improves efficiency and accuracy in newborn immunization reporting. It is recommended that the system be implemented sustainably and further enhanced to support broader health data integration.
Literatur Sistematis Perbandingan Kinerja Algoritma Apriori, ECLAT, dan FP-Growth dalam Analisis Pola Asosiasi ERLINA, DELLA; Irfansyah, Dimas; Pratama, Ikhsanudin; Suretno, Pujha; Setiawan, Yudi
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Nomor 01, Mei 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v2i01.323

Abstract

Penelitian ini merupakan studi literatur yang membahas penerapan tiga algoritma asosiasi dalam data mining, yaitu Apriori, ECLAT, dan FP-Growth. Tujuan dari studi ini adalah untuk menganalisis dan membandingkan kinerja serta karakteristik masing-masing algoritma dalam menemukan pola hubungan antar produk berdasarkan data transaksi. Metode yang digunakan adalah Systematic Literature Review (SLR) terhadap sepuluh jurnal ilmiah yang relevan. Setiap algoritma memiliki pendekatan yang berbeda dalam proses pencarian frequent itemset, sehingga menghasilkan efektivitas dan efisiensi yang bervariasi tergantung pada karakteristik dataset. Hasil kajian menunjukkan bahwa Apriori cenderung sederhana namun kurang efisien untuk dataset besar, sedangkan ECLAT dan FP-Growth menawarkan performa yang lebih baik dengan pendekatan data vertikal dan struktur pohon. Studi ini memberikan wawasan mendalam terhadap pemilihan algoritma asosiasi yang tepat dalam berbagai konteks analisis data transaksi. Keywords— Data Mining, Machine Learning, Unsupervised Learning, Association Rules, Apriori, ECLAT, FP-Growth
Dampak Positif dan Negatif Pemanfaatan Teknologi Multimedia dalam Dunia Pendidikan: Tinjauan Literatur Andika Faza Setiawan; Isnaeni Kholifatun; Riskha Syofiyana; Muhammad Rikzam Kamal
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Nomor 01, Mei 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v2i01.334

Abstract

This study is a literature review aimed at comprehensively analyzing the positive and negative impacts of multimedia technology utilization in education. Data was obtained from 15 scientific works, including international journals, accredited and non-accredited national journals, proceedings, and relevant theses. The findings indicate that the use of interactive multimedia contributes positively to enhancing motivation, learning outcomes, creativity, student engagement, and supporting teacher professionalism. However, there are also negative impacts such as excessive cognitive load, concentration disruptions, and the potential for digital addiction. The main challenges identified include infrastructure limitations, low digital literacy, and insufficient teacher training. Therefore, the implementation of multimedia in education requires well-developed strategies and robust systems to achieve optimal and sustainable outcomes.
Demand Forecasting of Domestic Gas Consumption: A Comparative Study of Trend Analysis, Moving Average, Single and Double Exponential Smoothing Methods Uchendu Onwusoronye Onwurah; Chukwuebuka Martinjoe U-Dominic; Christopher Chukwutoo Ihueze; Onyekachukwu Godspower Ekwueme; Obiora Jeremiah Obiafudo; Emmanuel Okechukwu Chukwumuanya
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Nomor 01, Mei 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v2i01.429

Abstract

The increase in population and global economy has led to an increase in energy demand and consumption. Domestic gas consumption has continued to increase on a daily basis. Forecasting is essential to support decisions such as inventory management, production planning, and procurements in natural gas production and distribution. This study is aimed at forecasting natural gas demand in a selected area using trend analysis, moving average, single exponential smoothing, and double exponential smoothing techniques. 16 years (2009–2024) historical data were collected from a domestic gas distribution plant. The data were analyzed, and forecasts were made using trend analysis, moving average, single exponential smoothing, and double exponential methods. A comparative study revealed that trend analysis outperformed the other forecasting techniques, based on the lowest mean absolute percentage error (MAPE), mean absolute deviation (MAD), and mean squared deviation (MSD) as the decision criteria. The performance of double exponential smoothing is very close to that of the trend analysis. This study concludes that both trend analysis and double exponential smoothing, based on their lower MAPE and MAD, can be adopted by the gas plant in forecasting the domestic gas demand in the selected area.
Gamification on Cybersecurity Awareness Training for Adolescents: A Systematic Literature Review Wijanarko, Andang; Erlansari, Aan
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Number 02, November 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v2i01.490

Abstract

This systematic literature review aims to synthesize empirical evidence on the effectiveness, gamification elements, and implementation challenges of gamification in cybersecurity awareness training for adolescents. This study follows the PRISMA guidelines with a literature search on the Scopus academic database. Of the 124 studies identified, 14 studies met the inclusion criteria for further analysis. The synthesis results show that gamification significantly increases engagement, intrinsic motivation, and knowledge retention among adolescents on the topic of cybersecurity. The most effective gamification elements are points, badges, and leaderboards (PBL). However, key challenges such as framework usage, ensuring long-term engagement, and integration between game mechanics and learning outcomes must be considered for future research.
Systematic Literature Review on the Convergence of Business Process Management and Process Mining Putra, Yusran Panca; Novrian, Willi; Putra, Okka Adittio
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Number 02, November 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Although Business Process Management (BPM) and Process Mining (PM) have been extensively studied as distinct domains, limited research has systematically explored their convergence. this study presents a Systematic Literature Review (SLR) on the convergence between Business Process Management (BPM) and Process Mining (PM), focusing on journal publications indexed in SpringerLink from 2020 to 2025. The review aims to map current research trends, identify how PM techniques support the BPM lifecycle, and explore the main benefits and challenges of their integration within organizational contexts. Using the PRISMA methodology and the PICOS framework, thirteen high-quality studies were systematically analyzed. The findings reveal that BPM and PM are increasingly interdependent—BPM provides a structured lifecycle for continuous improvement, while PM introduces data-driven insights through process discovery, conformance checking, and performance monitoring. PM strengthens each phase of the BPM lifecycle by enhancing process transparency, real-time monitoring, and evidence-based decision-making. However, integration remains challenged by data quality issues, limited governance mechanisms, insufficient management support, and tool usability constraints. The study concludes that successful BPM–PM convergence requires not only technical advancements but also organizational readiness and strategic alignment. Future research should emphasize cross-organizational and longitudinal approaches to develop comprehensive frameworks for embedding process intelligence within digital transformation initiatives.
Analysis Of Constrains In The Use of IT-Based Learning Media In Elementary School Ramadani, Niska; Ferfinal, Hanafa Putri; Ferdinal. R
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Number 02, November 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the constraints in implementing IT-based learning media in elementary schools. The rapid advancement of technology demands the integration of Information Technology (IT) into education; however, many educational institutions still face various obstacles. The research method used was a Systematic Literature Review (SLR). A total of 35 relevant scientific articles were collected, categorized, and analyzed. Data collection focused on the keywords IT-based learning media, digital learning challenges, and elementary school. The results of the study indicate two main constraints in implementing IT-based learning media in elementary schools: the lack of teachers’ competence in using technology and limited technological facilities, especially in rural schools. The implication of these findings is that the successful integration of IT-based learning media in elementary education requires a holistic intervention. Such intervention includes continuous professional development for teachers and the establishment of supportive school policies to ensure the effective integration of technology in elementary education.
Analysis of Phishing Link Attack Threats to User Account Security Syofiyana, Riskha; Ramadani, Indri Oktavia; Larasati, Annisa; Ahabbany, Aghitsna Yashiva Aulia; Nugroho, Dicky Anggriawan
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Number 02, November 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study examines the threat of phishing link attacks to user account security by tracing common attack patterns, user behavior, and system vulnerabilities. The study explains how attackers use fake URLs to trick users into unknowingly providing personal information and login credentials. Through qualitative analysis of several phishing case studies, it was found that low user awareness, weak link verification habits, and lack of protection at the platform level significantly increase the risk of credential theft. This research also emphasizes the importance of implementing multi-factor authentication, URL filtering, and ongoing user education as mitigation efforts to minimize the impact of phishing attacks. The findings of this study provide insight into effective prevention strategies that can improve user account security and support the development of more robust authentication systems.

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