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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Economic Journal of Emerging Markets Jurnal Ilmiah Poli Rekayasa Proceedings of KNASTIK Bulletin of Electrical Engineering and Informatics CommIT (Communication & Information Technology) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal NERS Scientific Journal of Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) POLYGLOT Emerging Science Journal Syntax Literate: Jurnal Ilmiah Indonesia JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Komtika (Komputasi dan Informatika) International Journal of New Media Technology Jurnal Teknoinfo Jurnal Sisfokom (Sistem Informasi dan Komputer) International Journal of Supply Chain Management Poltekita : Jurnal Ilmu Kesehatan Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Informatika Jurnal Informatika Ekonomi Bisnis International Journal of Advances in Data and Information Systems Jurnal Sistem Komputer dan Informatika (JSON) Journal of Applied Data Sciences Walisongo Journal of Information Technology Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Action Research Literate (ARL) Jurnal Indonesia Sosial Teknologi Eduvest - Journal of Universal Studies Jurnal Informatika Ekonomi Bisnis Jurnal Sistem Informasi International Journal of Education, Language, Literature, Arts, Culture, and Social Humanities The Indonesian Journal of Computer Science Malahayati International Journal of Nursing and Health Science Jurnal Komtika (Komputasi dan Informatika)

Achmad Nizar Hidayanto

Fakultas Ilmu Komputer, Universitas Indonesia

Author-ID : 281358

Aerospace Engineering Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Other

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Evaluation of Maturity Levels and Recommendations for Improvements to the Implementation of the Scrum Method : Case Study: SSM Transport and SSM QC Teams in Indonesia National Single Window Agency Ihsan Lutfi; Achmad Nizar Hidayanto
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): 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.v13i6.4526

This study examines the implementation of Scrum within LNSW’s national program, SINSW, focusing on two key projects, SSM QC and SSM Pengangkut. Despite adopting Scrum, deviations from its principles, such as unclear sprint end-dates, have hindered timely development. Using the Scrum Maturity Model (SMM), this research evaluates Scrum maturity through mixed methods, including KPA ratings and qualitative insights from observations, interviews, and document analysis. Results indicate both teams are at Maturity Level 1 (Initial), with SSM QC scoring 71.12% and SSM Pengangkut 64.7%, classified as Largely Achieved. Recommendations for advancing to Level 2 include defining clear sprint timelines, enhancing project management, quantitative metrics, team capabilities, and stakeholder involvement. Grounded in the Scrum Guide 2020 and SBOK V4, these strategies aim to refine Scrum practices, fostering more efficient project development at LNSW.

Improved Deep Learning Model for Prediction of Dermatitis in Infants Setiawan, Debi; Noratama Putri, Ramalia; Fitri, Imelda; Nizar Hidayanto, Achmad; Irawan, Yuda; Hohashi, Naohiro
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.542

Indonesia's equatorial climate, characterized by summer and rainy seasons, presents environmental conditions that contribute to a high incidence of dermatitis in infants. Dermatitis, an inflammatory skin condition, can lead to significant discomfort in infants, affecting their sleep, growth, and development. Early diagnosis is crucial for effective treatment; however, conventional diagnostic methods in clinics and hospitals—such as physical observation and parental interviews—are often time-consuming, subjective, and may lack precision, creating a need for more efficient diagnostic tools. This study explores the application of deep learning models to enhance the accuracy and speed of dermatitis diagnosis in infants. Four convolutional neural network (CNN) models were evaluated: MobileNet, VGG16, ResNet, and a Custom CNN model specifically designed for this study. Using a dataset of 1,088 skin images collected from three regions in Riau Province, Indonesia, we conducted training and testing to assess each model’s performance in distinguishing between dermatitis-affected and healthy skin. Results show that MobileNet and the Custom CNN outperformed other models, achieving accuracy rates of 97% and 85%, respectively. MobileNet’s high accuracy and efficiency make it a viable option for mobile applications, enabling rapid, on-site diagnosis in resource-limited settings. The Custom CNN model, tailored to the unique features of infant skin, also showed promising results. These findings demonstrate the potential of automated, image-based diagnostic tools for assisting medical professionals in early dermatitis detection, improving patient outcomes. This study contributes a valuable diagnostic solution that leverages deep learning to support healthcare providers, particularly in areas with limited access to specialized medical resources.

Adoption of E-Wallets in Timor-Leste: An Extended UTAUT Approach Gusmao, Mazarino Neil Araujo Pires Leite; Hidayanto, Achmad Nizar; Isal, Yugo Kartono; Wibowo, Wahyu Catur
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1191

This study investigates the factors influencing the adoption of e-wallets in Timor-Leste using an extended Unified Theory of Acceptance and Use of Technology framework. Incorporating context-specific variables digital literacy, trust, inertia, merchant availability, and socialization and campaign the research employs a quantitative approach with data collected from 338 respondents through structured questionnaires. Analysis using Partial Least Squares Structural Equation Modeling reveals that four variables performance expectancy (β = 0.325), digital literacy (β = 0.161), socialization and campaign (β = 0.117), and trust (β = 0.321) significantly influence intention to use e-wallets. Trust emerged as the most influential factor, underscoring the need for secure, transparent systems to encourage adoption. Surprisingly, effort expectancy, social influence, digital infrastructure, merchant availability, and inertia were found to be non-significant. The model explains 77.1% of the variance in intention to use, with a high predictive relevance (Q² = 0.753). These findings suggest that user adoption in low-infrastructure contexts depends more on perceived trust and technological competence than on ease of use or peer influence. The results provide strategic insights for policymakers, service providers, and development actors aiming to promote financial inclusion through digital services in emerging economies like Timor-Leste.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1191

Implementasi Privacy-Preserving Record Linkage untuk Meningkatkan Manajemen Hubungan Pelanggan: Studi Kasus pada Perusahaan Manufaktur di Indonesia Muhamad Ikbal; Achmad Nizar Hidayanto; Ni Wayan Trisnawaty; R. Yugo Kartono Isal
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4892

As cross-organizational collaboration increases, balancing data utility with privacy protection becomes essential. This study addresses the challenge by implementing Privacy-Preserving Record Linkage (PPRL) using a deterministic hashing approach at an Indonesian manufacturing firm and a leasing company. The system employs a dual-layer hashing technique (MD5 followed by salted SHA-256) to securely link standardized identifiers without revealing raw personal data. The objective was to enhance Customer Relationship Management (CRM) by identifying shared customers for targeted outreach. The approach yielded 2.6 million matched records out of over 36 million, enabling the leasing firm to achieve a 2-4% conversion rate through personalized campaigns. Results demonstrate high efficiency, scalability, and compliance with Indonesia’s data protection law, offering a replicable framework for privacy-conscious data integration in regulated environments.

MAPPING GENERATIVE AI'S ETHICAL ISSUES IN HIGHER EDUCATION: A FELT-GUIDED SYSTEMATIC REVIEW [PEMETAAN ISU ETIKA GENERATIVE AI DI PENDIDIKAN TINGGI: TINJAUAN SISTEMATIS BERPANDUAN FELT] barus, okky; Hidayanto, Achmad Nizar; Eitiveni, Imairi
Polyglot Vol 21 No 2 (2025): July
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/pji.v21i2.10020

The pervasive integration of generative AI (GenAI) into higher education presents transformative opportunities alongside complex ethical challenges that necessitate urgent scholarly attention. This study conducts a systematic literature review (SLR) following the rigorous Kitchenham protocol, analyzing 27 peer-reviewed articles published between 2023 and 2025 to comprehensively identify these ethical issues and map them against the ALT Framework for Ethical Learning Technologies (FELT). The SLR revealed seven prominent ethical concerns: (1) academic integrity and plagiarism, highlighting issues of unauthorized assistance and false authorship; (2) bias and fairness, manifested through algorithmic and linguistic biases; (3) data privacy and security, concerning unauthorized access and re-identification risks; (4) impact on critical thinking and learning outcomes, fostering over-reliance; (5) authorship, intellectual property, and copyright ambiguities; (6) misinformation, hallucinations, and deepfakes, eroding trust; and (7) broader environmental and labor impacts. Crucially, the mapping to FELT demonstrated that these issues collectively challenge institutional accountability, necessitate responsible learning paradigms, demand greater transparency in AI operations, and underscore the imperative for care towards individuals and societal well-being. Findings indicate a nascent and fragmented institutional response globally, driven by varied stakeholder perspectives. This research recommends a multi-faceted approach: fostering comprehensive AI literacy, adopting human-centered design, developing robust and adaptive policies, ensuring system transparency and accountability, strengthening data governance, advocating for ethical AI design, and promoting interdisciplinary collaboration. This study equips higher education stakeholders to navigate GenAI's ethical landscape and uphold core educational values by synthesizing current ethical dilemmas and offering a FELT-guided framework for responsible integration. Abstrak Bahasa Indonesia Integrasi kecerdasan buatan generatif (GenAI) yang meluas ke pendidikan tinggi menghadirkan peluang transformatif sekaligus tantangan etika yang kompleks dan memerlukan perhatian akademis yang mendesak. Studi ini melakukan tinjauan literatur sistematis (SLR) mengikuti protokol Kitchenham yang ketat, menganalisis 27 artikel peer-reviewed yang diterbitkan antara tahun 2023 dan 2025 untuk secara komprehensif mengidentifikasi isu-isu etika ini dan memetakannya terhadap Kerangka Kerja ALT untuk Teknologi Pembelajaran Etis (FELT). SLR ini mengungkapkan tujuh kekhawatiran etika yang menonjol: (1) integritas akademik dan plagiarisme, menyoroti isu-isu bantuan tidak sah dan kepengarangan palsu; (2) bias dan keadilan, termanifestasi melalui bias algoritmik dan linguistik; (3) privasi dan keamanan data, menyangkut akses tidak sah dan risiko re-identifikasi; (4) dampak pada pemikiran kritis dan hasil pembelajaran, mendorong ketergantungan berlebihan; (5) ambiguitas kepengarangan, kekayaan intelektual, dan hak cipta; (6) misinformasi, halusinasi, dan deepfake, mengikis kepercayaan; dan (7) dampak lingkungan dan tenaga kerja yang lebih luas. Secara krusial, pemetaan ke FELT menunjukkan bahwa isu-isu ini secara kolektif menantang akuntabilitas institusional, menuntut paradigma pembelajaran yang bertanggung jawab, membutuhkan transparansi yang lebih besar dalam operasi AI, dan menggarisbawahi keharusan untuk peduli terhadap individu dan kesejahteraan masyarakat yang lebih luas. Temuan mengindikasikan respons institusional yang masih baru dan terfragmentasi secara global, didorong oleh beragam perspektif pemangku kepentingan. Penelitian ini merekomendasikan pendekatan multi-aspek: membina literasi AI yang komprehensif, mengadopsi desain yang berpusat pada manusia, mengembangkan kebijakan yang kuat dan adaptif, memastikan transparansi dan akuntabilitas sistem, memperkuat tata kelola data, mengadvokasi desain AI yang etis, dan mempromosikan kolaborasi interdisipliner. Dengan menyintesis dilema etika saat ini dan menawarkan kerangka kerja berbasis FELT untuk integrasi yang bertanggung jawab, studi ini membekali pemangku kepentingan pendidikan tinggi untuk menavigasi lanskap etika GenAI dan menjunjung tinggi nilai-nilai inti pendidikan.

Assessing Master Data Management Maturity in General Insurance Sector Fahmi, Rizki Ali; Hidayanto, Achmad Nizar
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 2: Agustus 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i2.2895

As data becomes a strategic asset, organizations must adopt strong Master Data Management (MDM) practices to support governance, compliance, and decision-making. This study assesses the MDM maturity of a general insurance company in Indonesia using a qualitative case study approach. Data were gathered through interviews, document analysis, and field observations. The assessment used the Master Data Management Maturity Model (MD3M), which evaluates key domains of MDM practices. Findings show the company is still in the early stages of MDM maturity, characterized by fragmented processes, unclear roles, and limited data standardization. This study offers empirical insights into MDM maturity within the insurance sector, which remains underrepresented in current research. It also provides practical recommendations for improvement, such as defining data ownership, formalizing governance structures, and integrating customer data systems to enhance overall data management capabilities.Keywords: Master Data Management; MD3M; Maturity Assessment; General Insurance AbstrakSeiring dengan meningkatnya peran data sebagai aset strategis, organisasi perlu menerapkan praktik Master Data Management (MDM) yang kuat untuk mendukung tata kelola, kepatuhan, dan pengambilan keputusan. Studi ini menilai tingkat kematangan MDM pada sebuah perusahaan asuransi umum di Indonesia dengan menggunakan pendekatan studi kasus kualitatif. Data dikumpulkan melalui wawancara, analisis dokumen, dan observasi lapangan. Penilaian dilakukan menggunakan kerangka Master Data Management Maturity Model (MD3M) yang mengevaluasi sejumlah domain utama dalam praktik MDM. Temuan menunjukkan bahwa tingkat kematangan MDM perusahaan masih berada pada tahap awal, ditandai dengan proses yang terfragmentasi, peran yang belum jelas, dan standar data yang belum konsisten. Studi ini memberikan wawasan empiris mengenai kematangan MDM di sektor asuransi, yang masih jarang diteliti. Selain itu, studi ini menawarkan rekomendasi praktis seperti penetapan kepemilikan data, pembentukan struktur tata kelola, dan integrasi sistem data nasabah.

Assessing BI Maturity: Government Financial Sector Case Study Sihotang, Jhon Rafles; Hidayanto, Achmad Nizar; Isal, Yugo Kartono
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1203

This study assesses the implementation maturity of a Business Intelligence system within a government organization in the Indonesian financial sector. The primary objectives are to evaluate the current maturity level and to formulate evidence-based recommendations for enhancement. The research employs a mixed-methods approach, utilizing the Business Intelligence Maturity Model as the analytical framework. Data was gathered from organizational documents, direct observation, a questionnaire survey of 13 system users, and in-depth interviews with four key stakeholders. The results indicate an overall BI maturity at Level 3: Information Integration. Despite this, five sub-dimensions scored poorly: Technical Data Management, Analysis Functionality in Applications, Reporting Capability in Applications, System Availability, and Profitability Calculation, signifying suboptimal implementation in these areas. The study concludes that the BI implementation is only partially successful and has not reached its intended potential. To advance to a higher maturity level, the organization must address the identified weaknesses, particularly in data management, application functionality, and system governance. This study offers practical guidance for organizational improvement and enriches limited academic literature on BI maturity in developing-country public financial institutions.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1203

A telenursing application Innovation based on local wisdom in nursing care for chronic disease patients Antia Antia; Setyowati Setyowati; Hanny Handiyani; Achmad Nizar Hidayanto
Malahayati International Journal of Nursing and Health Science Vol. 8 No. 5 (2025): Volume 8 Number 5
Publisher : Program Studi Ilmu Keperawatan-fakultas Ilmu Kesehatan Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/minh.v8i5.794

Background: Patients with chronic diseases generally experience repeated hospitalizations. Cultural diversity can affect communication and engagement from health care providers and recipients. An interactive culturally sensitive telenursing application is needed as a form of continuous nursing intervention when patients are at home. Purpose: To build and test the culturally sensitive telenursing application of Suster Kita. Method: Using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) process design. The research was conducted from August 2022 to February 2024 and tested on 20 respondents in the DKI Jakarta area. The evaluation of the effectiveness of the Suster Kita culturally sensitive telenursing application at the implementation stage was carried out using a questionnaire on the use of the application developed by the research team. The final results of the application are evaluated 2 weeks after the respondent uses the application. Results: the use of the application showed that the average knowledge of chronic diseases and their treatment consisting of 10 knowledge components increased before and after the trial of the use of the culturally sensitive application of Suster Kita. Conclusion: the intervention is acceptable to users and is worth using. Application suggestions are integrated with laboratory results.

Co-Authors . Herianto . Herianto . Herianto . Herianto Ade Irma Suryani Adhiawan Soegiharto Agri Fina Agung Terminanto Agus Harjoko Ahmadin, Yudhiansyah Ajie Tri Hutama Alfatianisa, Kirana Alfiany, Noverina Anang, Yunarso Aniati Murni Arymurthy Anita Muliawati Antia Antia Ardiati Utami Sarjono Arthamevia, Aisha Asymala, Asymala Permata Sari Atalya Yoseba S. Ayuning Budi, Nur Fitriah Azainil Azainil Barus, Okky Beny Maulana Achsan Bob Hardian Syahbuddin Cahyaningtyas, Astri Canrakerta Canrakerta Canrakerta, Canrakerta Chris Solontio Debi Setiawan, Debi Devi Fitrianah Dewi Puspa Dewi Puspasari Diah Kumalasari Dian Setia Hartana Dian Setia Hartana Dian Setia Hartana Diane Fitria Dwiza Riana Dyna Marissa Khairina Ejo Imandeka Ermawan, Geri Yesa Ernawati Pasaribu, Ernawati Fahmi, Rizki Ali Fajar Budi Utomo Fakhri Mubarak, Muhammad Fatimah Azzahro Febiani, Dyah Ayu Fitri Kartiasih Fitri, Imelda Friendly Nur Shakti Gusmao, Mazarino Neil Araujo Pires Leite Handayani, Putu Wuri Handini Mekkawati Hanny Handiyani Hapsari, Ika Chandra Hartana, Dian Setia Henki Bayu Seta Hisyam Fahmi Hohashi, Naohiro Husni Teja Sukmana I Gusti Ngurah Adi Wicaksana Ihsan Lutfi Ika Chandra Hapsari Ika Chandra Hapsari Ika Chandra Hapsari Ika Chandra Hapsari Ika Chandra Hapsari Ika Chandra Hapsari Imairi Eitiveni Indra Budi Irfandi, Zikri Isal, Yugo Kartono J.W. Saputro J.W. Saputro J.W. Saputro Jwalita Galuh Garini Kamrozi Kemas Khaidar Ali Indrakusuma Kenedi Binowo Kongkiti Phusavat Kongkiti Phusavat Kongkiti Phusavat Krishna Yudhakusuma P.M. Lasiyanto Putro, Pamuji M. Aulia Hafidh Maemonah, Maemonah Mahdi, Askarul Mahmud, Mufti Mediati, Ati Surya Mediawati, Ati Surya Meganingrum Arista Jiwanggi Meganingrum Arista Jiwanggi Meganingrum Arista Jiwanggi Meganingrum Arista Jiwanggi Mohammed Al Kwarizmi Dwi Anggara Muh. Alviazra Virgananda Muhamad Ikbal Muhamad Raihan Fikriansyah Muhammad Daril Nofriansyah Muhammad Imam Santosa Muhammad Labib Jundillah Muhammad Rizky Anditama Muhammad Rizky Anditama Mutia Maulida Nafiiyah, Nur Nazar, Rizal Mochamad Nenny Anggraini, Nenny Ni Wayan Trisnawaty Nilamsari Putri Utami Ninda Lutfiani Noratama Putri, Ramalia Noverina Alfiany Nugroho, Widijanto Satyo Nugroho, Widijanto Satyo Nur Fitriah Ayuning Budi Nur Fitriah Ayuning Budi Pamuji Lasiyanto Putro Panca O. Hadi Putra Pang Ning-Tan Pangesti, Dyah Pertiwi, Ratih Putri Prasetya, Roliand Prastiti, Rizdiani Tri Purwandari, Betty Putro, Prasetyo Adi Wibowo Qorib Munajat Qurotul Aini R. Yugo Kartono Isal Rahmad Mulyadi Ramadiani - Rania Azzahra Rayhan Anandya Reihan Putra Oktavio Rifqi Firdaus Al Jauhari Rizha Febriyanti Rizki Tri Prasetio Robby Hermansyah Rosa Nur Rizky FT Rr Tutik Sri Hariyati Ryan Randy Suryono Samik-Ibrahim, Rahmat Mustafa Saputro, J.W. Sartika Djamaluddin, Sartika Septian Bagus Wibisono Septian Bagus Wibisono Setiawati, Deni Setyowati , Setyowati Setyowati Setyowati Setyowati Setyowati Sherah Kurnia Sihotang, Jhon Rafles Simanjuntak, Almon Junior Sita Wardhani Solontio, Chris Suryana Setiawan Suryana Setiawan Syafiq Abdillah U. Syafira, Adinda Rizkita Syahrul Alam Suriazdin Syahrul Tuba Syanandi, Muhammad Destara Theresiawati Tri Wicaksono, Hari Prasetyo Trimanadi, Raden Untung Rahardja Wachid Yoga Afrida Wahyu Catur Wibowo Widijanto Satyo Nugroho Wilantika, Nori Wisnubroto, Agus Sigit Yova Ruldeviyani Yuda Irawan Yudhiansyah Ahmadin Yudhiansyah Ahmadin Yudhiansyah Ahmadin Yudhianto, Riswan Haryo Yudi Ramdhani Yusuf Rahman Zikri Irfandi

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