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All Journal CommIT (Communication & Information Technology) Journal of ICT Research and Applications JUSIFO : Jurnal Sistem Informasi JOIN (Jurnal Online Informatika) Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research SemanTIK : Teknik Informasi Syntax Literate: Jurnal Ilmiah Indonesia JURNAL EDUCATION AND DEVELOPMENT Jurnal Teknologi Sistem Informasi dan Aplikasi JSiI (Jurnal Sistem Informasi) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) Jurnal Telematika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Advances in Data and Information Systems Jurnal Teknik Informatika (JUTIF) Journal La Multiapp Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Legal and Cultural Analytics (JLCA) Jurnal Teknologi dan Manajemen Industri Terapan Journal of Internet and Software Engineering Jurnal Indonesia Sosial Sains eProceedings of Engineering Equivalent: Jurnal Ilmiah Sosial Teknik Jurnal INFOTEL Jurnal Pustaka Indonesia The Indonesian Journal of Computer Science Scientific Journal of Informatics Vifada Management and Social Sciences Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Multidisciplinary Indonesian Center Journal Advance Sustainable Science, Engineering and Technology (ASSET) INOVTEK Polbeng - Seri Informatika Journal of Production, Enterprise, and Industrial Applications Proceeding of Community Service and Engagement
Sinung Suakanto
Telkom University, Bandung, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Nursing Physics Public Health Social Sciences Other

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Scenario-Based Risk and Control Formulation for Electronic Banking Channels ATM and EDC in Indonesian Commercial Banks Navya Kirana Safitri; Sinung Suakanto; Basuki Rahmad
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.353

Abstract

Background: ATMs and EDCs remain critical infrastructure components within Indonesia’s national payment system. However, their extensive utilization exposes commercial banks to various technological, operational, human, physical, and third-party risks. Despite recurring incidents comprehensive studies that formulate ATM and EDC risk scenarios and corresponding control measures within the Indonesian banking context remain limited. Objective: This study formulates risk scenarios and corresponding control measures for ATM and EDC electronic banking channels in Indonesian commercial banks. Methods: A structured literature review was conducted using six academic databases: Google Scholar, ScienceDirect, ResearchGate, Scopus, Wiley Online Library, and MDPI. The identified risks were analyzed using the ISACA Risk IT Framework and mapped to the NIST Cybersecurity Framework (CSF) 2.0 and ISO/IEC 27001:2022 standards. The proposed model was validated by six Subject Matter Experts (SMEs) with expertise in banking operations, IT risk management, information security, and payment systems using a 1–5 Likert scale. Results: The study identified 25 risk scenarios across six categories and formulated 25 consolidated control measures. Each scenario links risk sources or threat actors, risk events, potential impacts, and corresponding controls. The controls were classified as preventive, detective, and corrective measures and mapped across the people, process, and technology dimensions. Expert validation produced an average score of 4.13/5.00 (83%), indicating a high level of acceptance. Conclusion: As a proposed model derived from a systematic literature review and expert validation, this study provides a structured reference framework for risk management practitioners and policymakers in Indonesian commercial banking institutions.
DETERMINANTS OF INFORMATION SYSTEM SUCCESS IN INDONESIA: SYSTEM REQUIREMENTS, TEAM CAPABILITIES, AND STAKEHOLDER INVOLVEMENT Faidatul Hikmah; Sinung Suakanto
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 1 (2026): Vol. 3 No. 1 Edisi Januari 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i1.2034

Abstract

Success in information system projects has a significant impact on the development of information technology. The research specifically explores the factors that can influence the success and failure of information system projects in Indonesia. The research method applied is a double linear regression analysis of a case study involving 67 information system projects that have been completed by various organizations and companies in Indonesia. Some of the major findings of this study cover critical aspects that have a significant impact on the performance of information system projects. Analysis of project information system requirements is identified as one of the key factors affecting the success of the project. Team capabilities, both in terms of technical skills and interpersonal coordination, are also important elements that correlate with project outcomes. The involvement of stakeholders throughout the project cycle has also proved to have a positive impact. It is understood that involving stakeholders actively can enhance a better understanding of user needs and minimize the risk of change of requirements in the middle of the way. By gaining in-depth insight into these key factors, this research makes valuable contributions to the planning, development, and implementation of future information system projects in Indonesia.
CLASSIFICATION OF USER REVIEW SENTIMENT TOWARD PAYLATER SERVICES ON THE KREDIVO AND AKULAKU APPS USING NAÏVE BAYES Sang Dara Parameswari; Muharman Lubis; Sinung Suakanto
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 3 (2026): Vol. 03 No. 3 Edisi Juli 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i3.2727

Abstract

PayLater services are one of the rapidly growing digital financial innovations widely utilised in fintech apps in Indonesia, including Kredivo and Akulaku. User reviews on the Google Play Store reflect a range of experiences, from satisfaction with the ease of use of the service to complaints regarding bills, interest rates, late payment fees, credit limits, and app performance. This study aims to classify the sentiment of user reviews regarding PayLater services on the Kredivo and Akulaku apps using the Multinomial Naïve Bayes algorithm. Data was collected via web scraping from the Google Play Store and automatically labelled based on user ratings, with ratings of 1-2 classified as negative sentiment and ratings of 4-5 as positive sentiment, whilst a rating of 3 was excluded as it was considered ambiguous. Following a preprocessing stage comprising cleaning, case folding, tokenisation, stopword removal, and stemming, as well as feature extraction using TF-IDF, 3,652 reviews were obtained with a training-to-test data split ratio of 80:20. The results indicate that positive sentiment dominates the dataset at 56.49%, whilst negative sentiment accounts for 43.51%. Analysis by application revealed that Kredivo was dominated by positive sentiment (68.20%), whilst Akulaku was dominated by negative sentiment (51.70%).  The Naïve Bayes multinomial model achieved an accuracy of 84.13%, with average precision, recall, and F1-score values of 0.84, demonstrating good and balanced classification performance across both sentiment classes.
Design and Development of a Competency Certificate Surveillance System for Electrical Technical Personnel using a Disruptive RSM Design Approach Rika Mulyati; Muharman Lubis; Sinung Suakanto; A. Taupik Rahman
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1660

Abstract

The competency certificate for electrical technical personnel serves as formal evidence that an individual is qualified to work in the electricity sector and has a validity period of three years, requiring periodic surveillance to ensure regulatory compliance. In practice, the surveillance process is still largely conducted manually by Competency Certification Bodies (LSK), resulting in administrative inefficiencies, delays in certificate renewal, fragmented documentation, and limited traceability of surveillance records. These challenges not only burden certification bodies and certificate holders but also affect regulatory supervision performance. This study aims to design and develop a competency certificate surveillance information system for electrical technical personnel using a disruptive Recognise–Scrutinize–Materialize (RSM) design approach. Data were collected through observations, semi-structured interviews, and document analysis to identify existing problems and system requirements. The RSM method was applied to systematically align stakeholder needs with national regulations and international standards, including ISO, IEEE, and NIST guidelines. The results of this research produce a regulation-based surveillance system design in the form of a structured mock-up that integrates automated reminders, digital document validation, standardized surveillance workflows, and real-time monitoring dashboards. The proposed system is expected to improve efficiency, data accuracy, transparency, and regulatory compliance in the surveillance and renewal process of competency certificates. This research contributes novel insights into the digitalization of competency certificate surveillance, a topic that has received limited attention in previous studies, particularly within the electricity sector. 
Designing a Security Profile Using the NIST Cybersecurity Framework for General Elections in Indonesia Muhammad Hibban Mikhail; Sinung Suakanto; Basuki Rahmad
Vifada Management and Social Sciences Vol. 4 No. 1 (2026): January - June
Publisher : Yayasan Vifada Cendikia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70184/813bar95

Abstract

This study aims to design a comprehensive cybersecurity profile for Indonesia’s electoral digital ecosystem using the National Institute of Standards and Technology Cybersecurity Framework (NIST CSF) 2.0. The research focuses on identifying vulnerabilities in election information systems, formulating mitigation controls, and strengthening the supervisory role of the Election Supervisory Agency (Bawaslu) toward the General Election Commission (KPU). This study employed a qualitative descriptive-diagnostic approach. Data were collected through qualitative observations, historical cyber incident reports, regulations, cybersecurity documents, and academic literature related to election governance and digital security in Indonesia. Data analysis followed five implementation phases of NIST CSF 2.0: prioritize and scope, orient, create current profile, conduct risk assessment, and create target profile. The findings indicate that Indonesia’s election information systems remain vulnerable to data breaches, access control weaknesses, insider threats, infrastructure failures, and disinformation attacks. The study proposes a dual-recording e-voting architecture integrated with Voter Verifiable Paper Audit Trail (VVPAT) to improve transparency, auditability, and election integrity. The findings imply that election cybersecurity governance requires integrated institutional oversight, technical mitigation, and forensic audit mechanisms to maintain democratic legitimacy and public trust
IT Governance Evaluation of Hospital Information Systems Using Framework: Case Study of RSUD Welas Asih Muhammad Hanif Zahran; Sinung Suakanto; Basuki Rahmad
Vifada Management and Social Sciences Vol. 4 No. 1 (2026): January - June
Publisher : Yayasan Vifada Cendikia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70184/jkcdbz70

Abstract

Purpose: This study evaluates the governance capability of the Hospital Management Information System (Sistem Informasi Manajemen Rumah Sakit/SIMRS) at RSUD Welas Asih using COBIT 2019 and formulates improvement directions to strengthen service reliability. Research Design and Methodology: This study applies an evaluative case study with a mixed-method approach. Data were collected through a structured questionnaire completed by ten respondents from the SIMRS Installation, an interview with the Head of SIMRS Installation, direct observation, and limited document analysis. COBIT 2019 was used to assess selected APO, BAI, and DSS processes, while triangulation was applied to interpret questionnaire results against interview and documentary evidence. Findings and Discussion: The questionnaire results show generally positive perceptions of SIMRS governance, especially in strategic alignment, user-driven development, and operational support. However, triangulation identifies improvement needs in periodic training, user adaptation after feature changes, change documentation, external system dependency, incident handling, manual fallback, data re-entry, BPJS claim validation, and infrastructure resilience. Implications: The study recommends strengthening competency development, formal change logs, incident escalation, fallback procedures, data reconciliation, infrastructure continuity, and continuous governance monitoring.  
Evaluating Civil Servant Selection through Machine Learning Analysis of National Insight, General Intelligence, and Personal Characteristics Test Scores Muhammad Fauzan Nur Adillah; Sinung Suakanto; Nur Ichsan Utama
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2300

Abstract

This study analyzes the score distribution of 2,490 candidates in the 2024 Ministry of Finance Public sector recruitment, focusing on the CNI, GIT, and PCT sections using machine learning classification. Models used include Logistic Regression (accuracy 0.7897), Random Forest (0.9779), and XGBoost (0.9809), all trained with default parameters (n_estimators=100, max_depth=None) and evaluated using accuracy, precision, recall, and F1-score. While ensemble models outperformed Logistic Regression, the presence of false negatives—especially in the latter—reveals structural imbalances in test design. PCT scores dominate the total, while CNI and GIT show limited variation. These patterns suggest the need to revise PCT items with more complex ethical scenarios and enhance CNI and GIT content for better discrimination. This study contributes to improving test validity and fairness using empirical, data-driven methods. The findings support broader policy reforms toward more meritocratic and competency-aligned recruitment in Indonesia's civil service.
Pengembangan Sistem Informasi Terpadu Untuk Pelaporan Emisi Gas Rumah Kaca Scope 1 Dengan Memanfaatkan Teknologi IoT Pada Bidang Pertambangan Ryan Muhammad Satria; Ahmad Musnansyah; Sinung Suakanto
Journal of Production, Enterprise, and Industrial Applications Vol. 4 No. 1 (2026): June 2026
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jpeia.v4i1.11039

Abstract

Sektor pertambangan di Indonesia merupakan kontributor signifikan emisi Gas Rumah Kaca (GRK), namun sistem pelaporannya terkendala oleh proses manual yang tidak akurat, memakan waktu, dan mahal. Penelitian ini bertujuan untuk merancang sistem informasi terpadu berbasis Internet of Things (IoT) untuk mengotomatiskan pelaporan emisi Lingkup 1, serta mengukur daya guna dan akurasi dari sistem yang dikembangkan. Metode pengembangan yang digunakan adalah Iterative and Incremental melalui tiga fase, dengan tumpukan teknologi mencakup Laravel untuk dasbor, Python untuk kalkulasi emisi otomatis, dan MySQL sebagai basis data. Evaluasi sistem dilakukan melalui User Acceptance Test (UAT) dan System Usability Scale (SUS) yang melibatkan konsultan ahli. Hasilnya adalah sebuah aplikasi web fungsional yang dilengkapi dasbor pemantauan real-time, modul manajemen sensor dan sumber emisi statis, serta fitur ekspor laporan otomatis. Berdasarkan pengujian, sistem memperoleh skor SUS sebesar 92,5 yang menunjukkan tingkat daya guna yang sangat baik (excellent). Kesimpulannya, sistem yang dikembangkan berhasil menjadi solusi pelaporan yang valid dan efisien, serta terbukti dapat diterima dengan baik oleh pengguna sebagai alat bantu pemantauan yang andal.
Python-Based Backend Architecture Design for Commercial Medical IoT Device Integration: A Case Study of Omron HEM-7142T1 Tien Fabrianti Kusumasari; Yudhi Widyatama; Alaric Rasendriya Aniko; Sinung Suakanto
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 8 No. 2 (2026): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v8i2.331

Abstract

The current implementation of Remote Patient Monitoring (RPM) still faces crucial challenges related to the accuracy and integrity of medical data. Many healthcare IoT devices rely on generic sensors that require rigorous manual calibration and exhibit unstable error rates, failing to meet international clinical standards. This study aims to design and implement an integrated backend architecture that bridges certified commercial medical devices with digital health systems. The main contribution is a six-layer IoT architecture specifically designed to integrate the Omron HEM-7142T1 device to ensure data validity in remote blood pressure monitoring. Following the Design Science Research Methodology (DSRM), the system was developed using Python, the Bleak library for Bluetooth Low Energy (BLE) communication, and FastAPI to provide interoperable REST API services. Functional testing in Postman demonstrated that the system successfully extracts medical data, producing JSON output with an HTTP 200 OK status under single-access conditions. However, load testing using Apache JMeter with 10 virtual users revealed limitations in the hardware’s point-to-point BLE protocol. The /scan endpoint showed stable performance with a 0% error rate and an average response time of 5.04 seconds. In contrast, endpoints /connect-and-read and endpoint /latest-bp-records recorded error rates of 100% and 90%, respectively, with an average response time of 23.29 seconds when accessed simultaneously, due to the Omron device’s locking mechanism. This study concludes that while the six-layer architecture effectively ensures medical data integrity in single-access scenarios, it requires a database caching module in the Logic Tier to overcome parallel access constraints. The implementation provides a foundation for developing secure, standardized professional RPM systems for medical use.
Automation of Sprint Cost Estimation in Agile Projects Using a Random Forest-Based Decision Support System Faidatul Hikmah; Sinung Suakanto
Scientific Journal of Informatics Vol. 13 No. 3: August 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v13i3.58315

Abstract

Purpose: The manual construction of a Work Breakdown Structure (WBS) is inherently susceptible to human cognitive biases; hence, the objective of this research shifts toward Intelligent Automation, leveraging a Decision Support System (DSS) to replicate expert financial logic. Methods: The dataset comprises 30 validated sprint records from 23 internal projects; other WBS documents were excluded due to incomplete sprint details. Pre-processing involved completeness checks and One-Hot Encoding of team role compositions, without feature scaling. A Decision Tree Regressor, Random Forest Regressor, and Hybrid Model (Voting Regressor) were evaluated using 3-fold cross-validation based on MAPE, RMSE, and R² metrics. Result: The Random Forest Regressor demonstrated the best relative performance among the three models, achieving a MAPE of 23.55%, an RMSE of IDR 35.27 million, and an R² of -0.535. Across the 30 sprint predictions, the Random Forest model showed a mean deviation of 23.55% ± 31.69%, a median of 9.98%, and a range of 0.78%–125.33%, highlighting performance variation across sprints and supporting the model's application within a human-in-the-loop framework. Feature importance analysis identified `sprint_duration_days` as the dominant feature, followed by `role_programmer_jr` and `role_qa_sr`. Novelty: These findings demonstrate the system's practical contribution, particularly in streamlining budgeting bureaucracy by accelerating the process from days of manual preparation to just a few minutes through automated execution.
Co-Authors A. Taupik Rahman A., Simon Filippus Abdulaziz, Rifqi Abdulaziz Adillah, Muhammad Fauzan Nur Adyartama, Arya Putra Agustien, Ferry Ahmad Musnansyah Ahmad Sidik Rofiudin Alaric Rasendriya Aniko Alaric Rasendriya Aniko Albert, Vincentius Alfi Zahra Hafizhah Andreas Andreas Andriana Andriana Angela, Dina Anggraeni Xena Paradita Ani Kartini Anis Farihan Mat Raffei Anis Farihan Mat Raffei Anisa, Gia Annastasia, Syifa Aprilita Firsty Hazdia Arifudin, Nanang Bagastio, Shobrun Jamil Basuki Rahmad Basuki Rahmad BASUKI RAHMAD Bayuwindra, Anggera Christy, Aldi Cristian Richardo Anin Daniel Hadi Wijaya Dimas Jaya Kusuma Dina Angela Echo, Ruth Edi Nuryatno Edi Triono Nuryatno Edi Triono Nuryatno Ekky Novriza Alam Ema Rachmawati Evan Reswara Fa'rifah, Riska Yanu Fahrizky, Bimo Agung Faidatul Hikmah Faidatul Hikmah Faishal Mufied Al Anshary Fakhrurroja, Hanif Faqih Hamami Fauzi, Rokhman Febriyani, Widia Ferda Ernawan Firdaus, Taufiq Maulana Friska Andalusia Gamaliel, Yoyok Yusman Handoko, Mahardika Maulana Al Mahdi Hardiyanti, Margareta Hazdia, Aprilita Firsty Herry Imanta Sitepu Herry Sitepu Herry Sitepu Hikmah, Faidatul Hutagalung, Maclaurin Hutahaean, Bernad Robinson Ilham Perdana Ismail, Mohd Arfian Isnaeni, Rizqullah Maziyah Jan M. Pawlowski Jan M. Pawlowski Krisna Dwi Permana Litasari Widyastuti, Litasari Mahardika Maulana Al Mahdi Handoko Margareta Hardiyanti Mat Raffei, Anis Farihan Mifta Ardianti Mima Artamevia Muhammad Fahmi Hidayat Muhammad Fauzan Nur Adillah Muhammad Hanif Zahran Muhammad Haris Sitompul Muhammad Hibban Mikhail Muhammad Ivan Fadilah Muharman Lubis Mulyati, Rika Munansyah, Ahmad Navya Kirana Safitri Ni Ketut Caturwati Nia Ambarsari Nugroho, Tunggul Nugroho, Tunggul Arief Nur Ichsan Utama Nuraliza, Hilda Nuryanto, Edi Priyadi, Djoko Rachmadita Andreswari Rafi Adinegoro Raharjo, Adi Rahmat Fauzi Raina, Apriani Nur Raisyah Nurul Amanah Randy Ferdiawan Revyolla Ananta Dila Rika Mulyati Rika Mulyati Rika Mulyati Riverinda Rijadi, Safara Cathasa Rivero Novelino Roberd Saragih et al., Roberd Rofiudin, Ahmad Sidik Ryan Muhammad Satria Sang Dara Parameswari Sang Dara Parameswari Sang Dara Parameswari Sang Dara Parameswari Satria , Ryan Muhammad Sayyid Taufiq Abdulhafizh Sebastian, Kelvin See, Tan Lian Seno Adi Putra SETYORINI Shaffiei, Zatul Alwani Siregar, Amril Mutoi Siswanto, Joko Suhardi Suhono H. Supangkat Sulingallo, Irwansa Ryan Syfa Nur Lathifah Thaha, Taufik Kemal Tiara Rahmania Hadiningrum Tien Fabrianti Kusumasari Tjong Wan Sen Ulinuha, Zulfa Ventje Jeremias Lewi Engel Warmiyana Zairi Absi Widyadhari, Dinda Putri Widyatasya Agustika Nurtrisha Wijaksana, Syifa Nuurunnisa Wijaya, Yohanes Rico Yoga Raditya Nugraha Sukma Pradana Yoyok Gamaliel Yudhi Widyatama Yumna Zahran Ramadhan Zalina Fatima Azzahra Zulkarnaen, Rizky Zaki