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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal of Information Systems and Informatics
Kristiani, Evelline
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Computer Science & IT Education Engineering

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Enhancing IT Change Management through Communities of Practice and Social Learning: A Case Study at a University Marcel, Marcel; Kristiani, Evelline; Mudita, Damida Shu
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.781

Abstract

As information technology (IT) is taking over numerous aspects of our lives, handling IT changes becomes more and more urgent for the higher education institutions. The study that aims to explore the influence of social learning within a Community of Practice (CoP) in IT change management at the University X in Jakarta was conducted. Through a case study approach that involves document analyses, semi-structured interviews, and participant observations, it was shown the pivotal role of CoPs in facilitating the IT changes by promoting social interaction and collaboration. The CoP can help to find the problem early and build a risk-reduction plan around it. This research finds that despite challenges maintaining consistent procedures, inter-departmental coordination, and the necessity of broadened training and communication, integrating CoPs with COBIT 2019 principles can offer a unified approach to IT transformation for the universities. The integration will allow universities to have better plan around changes in technology and offers practical examples for other higer education institutions.
Enhancing Organizational Learning through Social Media: Insights from Social Learning Theory Marcel, Marcel; Kristiani, Evelline; Mudita, Damida Shu
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.843

Abstract

This qualitative case study investigates social media and its effect on organizational learning within a technology manufacturing company. Seven participants, including a general manager and IT specialist, team leaders, frontline managers, and an HR coordinator, were interviewed through semi-structured interviews to get insights on the use of social media for organizational learning. The finding indicated that social media learning effectiveness is constrained by poor governance, lack of consistent leadership support, and technological enablers. There also are cultural challenges to overcome, such as generational differences and differing levels of digital literacy. By outlining the significant factors that need to be addressed for technology manufacturers to incorporate social media into their learning strategies fully, this study provides valuable practical advice on using social media for best organizational learning. For successful integration, the study indicates that strategic alignment and better digital literacy should exist. Future research should explore how these barriers might be overcome and test different social media approaches in various organizational contexts.
Improving IT Service Management (ITSM) Capability in Small Application Development Firms Using FitSM: A Case Study Integrated with Socio-Technical Systems Theory Kristiani, Evelline; Marcel, Marcel
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.904

Abstract

This paper looks at how the FitSM framework, together with Socio-Technical Systems (STS) theory, can help improve IT Service Management (ITSM) in a small software development firm. Limited resources often cause small businesses to manage services inefficiently, which leads to inconsistent delivery and dissatisfaction among clients. The study focuses on a single software company in Jakarta, where ITSM processes like incident management, change management, and configuration management were assessed. The research involved interviews with key staff, an evaluation of current practices, and a gap analysis to identify areas needing improvement. The results show that most processes are at an early stage, with some progress in Configuration Management. By using FitSM’s structured approach and addressing teamwork and communication issues through STS theory, the company can improve service reliability and efficiency. The study concludes that combining FitSM with socio-technical principles provides a practical solution for small companies to enhance their ITSM practices and overall service quality.
Prediksi Mahasiswa Drop-Out Di Universitas XYZ Marzuqi, Tubagus Ahmad; Kristiani, Evelline; Marcel
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 6: Desember 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2024118689

Abstract

Akreditasi dan reputasi merupakan faktor krusial bagi setiap perguruan tinggi, termasuk Universitas XYZ. Salah satu hal yang dapat memengaruhi akreditasi adalah jumlah mahasiswa yang mengalami drop-out (DO). Untuk mencegah penurunan akreditasi dan reputasi akibat masalah tersebut, penelitian ini berfokus pada pengembangan model prediksi mahasiswa DO. Algoritma Random Forest, Gradient Boosting, dan Decision Tree digunakan untuk mengevaluasi seberapa akurat model klasifikasi dalam memprediksi potensi mahasiswa DO berdasarkan data akademik. Sebelum membangun model, digunakan metode SMOTE untuk menangani masalah ketidakseimbangan data. Hasil penelitian menunjukkan bahwa model prediksi menggunakan algoritma Random Forest berhasil mencapai akurasi sebesar 99,67%. Algoritma Gradient Boosting menghasilkan akurasi 99,21%, sementara Decision Tree mencapai akurasi sebesar 98,67%. Selain mengukur akurasi model, penelitian ini juga mengidentifikasi faktor-faktor utama yang berkontribusi terhadap prediksi mahasiswa DO. Faktor-faktor tersebut meliputi adanya tunggakan pembayaran, IPK rata-rata di bawah 2, jumlah mata kuliah yang diulang lebih dari satu kali, dan kegagalan dalam melakukan KRS lebih dari dua kali. Penelitian ini diharapkan dapat memberikan kontribusi signifikan dalam bidang prediksi akademik, khususnya dalam upaya mengurangi tingkat mahasiswa drop-out (DO) di perguruan tinggi.   Abstract Accreditation and reputation are critical factors for higher education institutions, including XYZ University. One factor that can negatively impact accreditation is the number of students who drop out (DO). To prevent a decline in accreditation and reputation due to this issue, this study aims to develop a predictive model for student dropouts. The Random Forest, Gradient Boosting, and Decision Tree algorithms were utilized to evaluate the accuracy of classification models in predicting potential dropouts using academic baseline data. Prior to model building, the SMOTE method was applied to address the issue of imbalanced data. The results indicate that the predictive model using the Random Forest algorithm achieved an accuracy of 99.67%. The Gradient Boosting algorithm yielded an accuracy of 99.21%, while the Decision Tree algorithm achieved 98.67% accuracy. In addition to determining model accuracy, this study also identified key factors contributing to the prediction of student dropouts. These factors include outstanding payment history, a GPA below 2.0, repeating courses more than once, and failing to register for courses (KRS) more than twice. This research is expected to make a significant contribution to the field of academic prediction, particularly in efforts to reduce the dropout (DO) rate among university students.  
Integrasi Model IS Success, ServQual dan TTF dalam Penyederhanaan Katalog Layanan TI di Lembaga Pendidikan Non-Formal Marcel, Marcel; Kristiani, Evelline; Aotearoa, Garpepi Hanief
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 1 (2025): Volume 11 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i1.88700

Abstract

Penelitian ini berangkat dari permasalahan yang dihadapi lembaga pendidikan non-formal dalam mengelola beragam layanan teknologi informasi (TI). Studi kasus dilakukan pada sebuah lembaga kursus di Jakarta yang mengalami kesulitan akibat kompleksnya katalog layanan TI yang mereka gunakan. Meski telah mengadopsi lebih dari 15 jenis layanan TI, pengorganisasian yang kurang baik membuat pengguna kesulitan memahami dan mengaksesnya. Dengan mengintegrasikan tiga kerangka teoritis (Information Systems Success Model, ServQual Model, dan Task-Technology Fit), penelitian ini mengkaji dampak penyederhanaan katalog terhadap persepsi pengguna dan efisiensi operasional lembaga. Data dikumpulkan melalui wawancara dengan 11 narasumber dan survei terhadap pengguna sebelum dan sesudah penyederhanaan katalog. Hasil penelitian menunjukkan perbaikan signifikan setelah penyederhanaan katalog. Kepuasan pengguna meningkat dari 3,0 menjadi 4,3 pada skala 5 poin. Efisiensi operasional bertambah sekitar 35%, sementara keluhan teknis berkurang 60%. Pengguna juga melaporkan kesesuaian yang lebih baik antara teknologi dan tugas mereka, dengan skor yang naik dari 3,4 menjadi 4,5. Temuan ini memperkaya pemahaman tentang bagaimana kualitas informasi dalam katalog layanan dapat mempengaruhi kepuasan pengguna dan efektivitas sistem TI. Penelitian ini menunjukkan bahwa lembaga pendidikan non-formal dapat mengoptimalkan investasi TI yang ada melalui penyederhanaan katalog, tanpa harus melakukan perubahan besar pada infrastruktur teknologi yang sudah ada.
Co-Authors Aotearoa, Garpepi Hanief Marcel Marcel Marcel Marzuqi, Tubagus Ahmad Mudita, Damida Shu