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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Educational Science and Technology Journal of Information Systems Engineering and Business Intelligence POLYGLOT RESEARCH : Computer, Information System & Technology Management Journal of Applied Computer Science and Technology (JACOST) Journal La Multiapp Journal of Social Research Eduvest - Journal of Universal Studies Jurnal Sistem Informasi
Imairi Eitiveni
Faculty Of Computer Science, Universitas Indonesia, Depok, Indonesia
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Neuroscience Social Sciences

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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

Abstract

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.  
Faktor Faktor Berpengaruh Kepada Kepuasan Mahasiswa Fakultas Ilmu Komputer Universitas Indonesia (Fasilkom UI) Terhadap Pembelajaran Jarak Jauh (PJJ) Melalui Student-Centered E-Learning Environment (SCELE) Athaya, Hisyam; Purwandari, Betty; Eitiveni, Imairi; Purwaningsih, Mardiana
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 7: Spesial Issue Seminar Nasional Teknologi dan Rekayasa Informasi (SENTRIN) 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022976753

Abstract

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi kepuasan mahasiswa lintas jenjang dan lintas program studi pada Fakultas Ilmu Komputer Universitas Indonesia (Fasilkom UI) terhadap penggunaan Student Centered E-Learning Environment (SCELE), sistem manajemen pembelajaran berbasis Moodle milik Fasilkom UI selama masa pembelajaran jarak jauh. Dari hasil tinjauan literatur sistematis, dibangun sebuah model dari hasil pengumpulan faktor dan indikator potensial. Model tersebut kemudian diuji menggunakan metode kuantitatif, dan hasilnya dianalisa menggunakan Structural Equation Modelling. Dari hasil yang didapatkan, dilakukan wawancara untuk memahami dan menginterpretasikan hasil riset. Dari riset yang dilakukan, dapat disimpulkan bahwa faktor-faktor yang menunjang kepuasan mahasiswa Fasilkom terhadap penggunaan SCELE adalah faktor kualitas teknikal sistem, kualitas pelajar dan kualitas sistem pembelajaran/pendidikan. AbstractThis study aims to determine factors that influence the satisfaction of Faculty of Computer Science Universitas Indonesia (Fasilkom UI) students towards the use of Fasilkom UI’s Moodle-based Student-Centered E-Learning Environment (SCELE) during mandatory distance learning. From the result of a systematic literature review, a model is built from by collecting and selecting potential factors and indicators. The model was then tested using a quantitative method, and the results were analyzed using Structural Equation Modeling. From the results obtained, interviews were conducted to understand and interpret the results of the research. From the research conducted, it can be concluded that the factors that support the satisfaction of Fasilkom UI students towards the usage of SCELE are the Technical System Quality, Learner Quality and the Educational System Quality.
Analisis Faktor Transformasi Digital Pelayanan Publik Pemerintah Di Era Pandemi Sisilianingsih, Sari; Purwandari, Betty; Eitiveni, Imairi; Purwaningsih, Mardiana
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 4: Agustus 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023107059

Abstract

Banyak perubahan yang terjadi dalam kehidupan masyarakat sebagai konsekuensi dari social distancing di era pandemi. Hal ini juga mempengaruhi cara pelayanan publik pemerintah kepada masyarakat yang ikut berubah akibat pembatasan sosial, di mana pelayanan tatap muka ditiadakan dan digantikan oleh layanan virtual dengan memanfaatkan teknologi informasi. Digital Government Transformation adalah teori yang digunakan dalam penelitian ini untuk melihat faktor pendorong dan penghambat proses transformasi digital khususnya pada pelayanan publik di masa pandemi. Penelitian ini bertujuan mengidentifikasi faktor-faktor yang mendukung dan menghambat serta tantangan yang dialami Indonesia selama pandemi dalam digitalisasi pelayanan publik. Penelitian ini dianalisa menggunakan Structural Equation Modelling dengan pengambilan data melalui cross sectional survey pada 208 responden. Hasil penelitian dapat disimpulkan bahwa faktor yang mendorong keberhasilan proses digitalisasi pelayanan publik di masa pandemi adalah profesionalisme dalam melayani yang tergambar dari inovasi pelayanan publik, kemampuan sumber daya manusia, dan pengalaman kerja. Sementara itu, faktor penghambat dari perspektif organisasi dan budaya seperti kurangnya panduan kepemimpinan, kurangnya koordinasi antar divisi, kurangnya dukungan operasional, budaya yang menolak perubahan, dan birokrasi yang rumit belum terbukti secara signifikan mempengaruhi proses transformasi karena hambatan tersebut tidak dapat membendung transformasi digital pelayanan masyarakat ketika dihadapkan pada kondisi pandemi Covid-19 yang membutuhkan perubahan.AbstractMany changes have occurred in people’s lives as a consequence of social distancing in pandemic era. This also affects the way government public services to the community have changed due to social restrictions, where face-to-face services are abolished and replaced by virtual services by utilizing information technology. Digital Government Transformation is the theory used in this research to see the driving and inhibiting factors of the digital transformation process. This research investigates the factors that support and hinder along with the challenges experienced in Indonesia during the pandemic in the digitalization of public services. This study used a questionnaire survey and managed to collect 208 respondents. The results of the study can be concluded that the factors that drive the successful practice of public service’s digitalization during the pandemic are professionalism in serving which is depicted from public service innovations, human resource capabilities, and work experience. Meanwhile, the inhibiting factors from the organizational and cultural perspective as lack of leadership guidance, lack of coordination between divisions, lack of operational support, a culture that resists change, and complicated bureaucracy have not proven to significantly affect the transformation process because these obstacles cannot stem the digital transformation of public services when faced with the Covid-19 pandemic condition that requires change.
Faktor-Faktor yang Memengaruhi Niat Terus Menggunakan Platform Akuakultur Elektronis: Studi Kasus Aplikasi eFisheryku Nurrohman, Andre; Eitiveni, Imairi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 5: Oktober 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023107279

Abstract

Potensi akuakultur di Indonesia termasuk tinggi. Penggunaan teknologi pada bidang ini relatif baru dan menghadapi perkembangan yang menantang. Salah satunya tercermin pada penggunaan platform eFisheryKu yang belum mencapai target banyaknya pengguna bulanan dan repeat order. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang memengaruhi niat terus menggunakan platform akuakultur elektronis, dengan studi kasus pada aplikasi eFisheryKu. Model penelitian dibangun menggunakan kerangka kerja Multi-Motive Information Systems Continuance Model (MISC). Kerangka teoretis dibangun dengan 16 hipotesis yang dibentuk dari hubungan antar konstruk. Metode penelitian yang digunakan adalah explanatory sequential design, yaitu metode penelitian yang diawali dengan fase kuantitatif dan dilanjutkan untuk menindaklanjuti hasil tertentu dengan tujuan untuk membantu menjelaskan hasil kuantitatif dengan terintegrasi. Analisis data kuantitatif dilakukan pada 100 data kuesioner dengan teknik analisis PLS-SEM dengan hasil sembilan hipotesis diterima dan tujuh hipotesis ditolak, lalu dilanjutkan dengan fase kualitatif terhadap tujuh responden untuk menemukan penjelasan yang konsisten. Penelitian ini memberi kesimpulan bahwa intention to continue dipengaruhi oleh functional needst2, lalu functional needst2 dipengaruhi oleh design-expectations fit dan functional needs disconfirmation, di mana functional needs disconfirmation dipengaruhi oleh functional needst1 dan ease of use. Penelitian ini memberi implikasi teoretis dan memperkuat functional needs sebagai faktor utama serta memberikan rekomendasi praktikal untuk mengoptimalkan fitur kebutuhan dasar budidaya dengan proses bisnis yang matang di lapangan.   Abstract   The potential for aquaculture in Indonesia is high. The use of technology in this fields is relatively new and faces challenging developments. One of them is reflected in the use of the eFisheryKu platform which has not reached the target number of monthly users and repeat orders. This study aims to determine the factors influencing the intention to continue using the electronic aquaculture platform, with a case study on the eFisheryKu application. The research model was built using the Multi-Motive Information Systems Continuance Model (MISC) framework forming 16 hypotheses. The research method used is an explanatory sequential design, which is a research method that begins with a quantitative phase and continues to follow up certain results with a qualitative phase to help explain integrated quantitative results. Quantitative data analysis was carried out on 100 questionnaire data using the PLS-SEM analysis technique. The results showed that nine hypotheses were accepted and seven hypotheses were rejected. Then, it continued with the qualitative phase with seven respondents. This study concludes that intention to continue is influenced by functional needst2, then functional needst2 is influenced by design-expectations fit and functional needs disconfirmation, where functional needs disconfirmation is influenced by functional needst1 and ease of use. This research provides theoretical implications and strengthens functional needs as the main factor as well as provides practical recommendations for optimizing the basic needs of cultivation with mature business processes in the field.
Motivations and Potential Solutions in Developing a Knowledge Management System for Organization at Higher Education: A Systematic Literature Review Maharani, Nandhita Zefania; Kurniawan, Shabrina Salsabila; Sensuse, Dana Indra; Eitiveni, Imairi; Hidayat, Deden Sumirat; Purwaningsih, Erisva Hakiki
Journal of Information Systems Engineering and Business Intelligence Vol. 10 No. 2 (2024): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.10.2.270-289

Abstract

Background: Amidst a rapidly evolving digital landscape that accelerates the flow of information, higher education institutions face the unique challenge of managing vast and dynamic knowledge resources. This research delves into the motivations and innovative solutions for developing Knowledge Management Systems (KMS), which is key to optimizing knowledge resource utilization and enhancing academic collaboration. Objective: This research provides a comprehensive mapping of problems and solutions for developing university knowledge management systems based on previous research. Not only that, but the results of this study also suggest three future research studies that can be adopted. Methods: This study used the Kitchenham systematic literature review method. The author uses literature in the form of journals and conference proceedings published from 2019 to 2023. Twenty-three articles were used for this study from 5 databases, such as ACM, ProQuest, Scopus, Taylor & Francis, and IEEE Xplore. Results: This study reveals research trends in knowledge management systems within higher education, examining aspects such as country, data collection methods, research methodologies, and theoretical frameworks. The main problems motivating the development of KMS are identified and categorized based on the people, process, and technology framework. In overcoming these problems in the university business process, there are several alternative solutions, both in the form of requirements and systems. Thus, the results of this study seek to provide guidelines for future research to adopt alternative solutions from this research and develop KMS to provide new solutions. Conclusion: This study advances knowledge about various trends, motivations, requirements, and system solutions to address KMS problems in higher education. The authors' research results can add valuable insights to improve our understanding of the development of KMS in universities in various countries. Future research can identify new potential in KMS in business processes currently running in a university with appropriate methodologies.   Keywords: Knowledge management system, higher education, systematic literature review, problem, solution
The Effectiveness of Bank Indonesia's SME Development Strategies, Policies, and Support in Financial Technology Cakra Wirabuana; Betty Purwandari; Imairi Eitiveni; Erisva Hakiki Purwaningsih
Jurnal Sistem Informasi Vol. 21 No. 1 (2025): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v21i1.1440

Abstract

This study aims to assess the effectiveness of strategies, policies, and support offered by Bank Indonesia for the growth of Small and Medium Enterprises (SMEs) in the Financial Technology (FinTech) sector. Using qualitative methods, thematic analysis, and frequency analysis, this study highlights the existing gaps in research on institutional support for SMEs during the digital era, especially within the Indonesian framework. A significant contribution of this research is the detailed exploration of SMEs' perspectives on the support they receive, focusing on areas such as infrastructure, digital literacy, and regulatory frameworks. Findings show that SMEs are generally positive about Bank Indonesia's initiatives, despite challenges in technical, administrative, and networking aspects. In addition, this research proposes actionable recommendations for Bank Indonesia and other relevant bodies to improve FinTech infrastructure, increase awareness and education, and revise regulations to better facilitate SME development. In addition, this research lays the groundwork for future longitudinal and comparative analyses to measure the long-term impact of Bank Indonesia's policies and to create predictive models that can pinpoint important elements that influence the use and success of digital payment solutions among SMEs. In addition to offering policy insights for Indonesia, this research also contributes to the broader global context by understanding the role of institutional support in advancing SMEs in the FinTech industry.
Patterns and Best Practices of Knowledge Sharing among Programmers on Stack Overflow: A Qualitative Study Cakra Wirabuana; M. Mushlih Ridho; Dana Indra Sensuse; Imairi Eitiveni; Deden Sumirat Hidayat; Sofiyanti Indriasari
Jurnal Sistem Informasi Vol. 21 No. 1 (2025): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v21i1.1441

Abstract

This research explores knowledge-sharing patterns and best practices among programmers on the Stack Overflow platform. Using a qualitative approach, the study analyzes interviews with seven programmers to identify user behavior and contributions to knowledge sharing. The findings reveal that most users exhibit passive usage, seeking solutions without actively participating due to introverted tendencies, time constraints, and concerns about redundancy and confidentiality. However, Stack Overflow remains a valuable resource for problem-solving. Best practices identified include using multiple forums, ensuring detailed and clear questions, and encouraging active participation. These strategies can enhance the quality of shared knowledge and create a more comprehensive and reliable knowledge base for the programming community. The study also suggests that addressing psychological barriers and integrating knowledge-sharing activities into routine work processes can increase active participation. These insights are essential for improving user engagement and the overall effectiveness of online knowledge-sharing platforms.
Co-Authors Achmad Nizar Hidayanto Adenia Adiresta Adhitama, Raihansyah Yoga Agnes Sondita Payani Alia Mutia Mayanda Athaya, Hisyam Barus, Okky Cakra Wirabuana Dana Indra Sensuse Deden Sumirat Hidayat Deden Sumirat Hidayat, Deden Sumirat Elkaf Fahrezi Soebianto Putra Erisva Hakiki Purwaningsih Farhan Setya Dhitama Giffari, Rafi Hakiki Purwaningsih , Erisva Hardyn Alexander Hutapea Indria, Sofi Kurniawan, Shabrina Salsabila M. Mushlih Ridho Maharani, Nandhita Zefania Mardiana Purwaningsih Muh Syaiful Romadhon Nandhita Zefania Maharani Nilamsari Putri Utami Nurrohman, Andre Pramudya Mahardhika Purwandari, Betty Purwaningsih, Erisva Hakiki Ridho, M. Mushlih Rima Alviani Shinta Dewi Larasati Sisilianingsih, Sari Sofiyanti Indriasari Sofiyanti Indriasari Wirabuana, Cakra