Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Jurnal Teknik Informatika (JUTIF)

A TOGAF 10-Based Enterprise Architecture Framework for Digital Transformation in SME Banks Sari, Laras Ayu Ditya; Mulyana, Rahmat; Mukti, Iqbal Yulizar
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.4329

Abstract

The banking sector faces significant challenges in implementing Digital Transformation (DT), particularly among Bank Perekonomian Rakyat (BPR), which serves as SME banks in Indonesia. These institutions often struggle with infrastructure limitations, technological adoption, and regulatory compliance. While existing research extensively examines DT strategies and Enterprise Architecture (EA) frameworks in large-scale banking institutions, their application to smaller banks like BPR remains underexplored. This study addresses this gap by developing an EA- based solution tailored to BPRDCo, a representative SME bank. Using the Design Science Research (DSR) methodology, the study follows five structured stages: problem explication, requirement specification, design and development, demonstration, and evaluation. The framework leverages the TOGAF Standard 10th Edition, integrating best practices across business, information systems, and technology architectures. The resulting EA blueprint provides a structured guide for DT implementation, aligning business and IT strategies while ensuring regulatory compliance. This study contributes to the EA knowledge base and offers practical implications for SME banks to enhance operational efficiency, optimize resource utilization, and strengthen competitiveness in the evolving financial landscape. By offering a systematic approach DT, this research advances knowledge in IT governance, architecture modeling, and system integration. Moreover, it provides a replicable framework that can inform future developments in digital banking solutions, reinforcing the importance of EA as a strategic tool for sustainable technological innovation.
Development of a Strategy for Independent Village Development Based on IDM Predictions Using Linear Regression: A Study of Bi'ih Village, South Kalimantan Artamevia, Mima; Lubis, Muharman; Mukti, Iqbal Yulizar
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5265

Abstract

Village development in Indonesia still faces inequality due to uneven utilization of technology, resulting in many villages lagging behind economically despite their strong social and environmental potential. This study aims to predict the status of the Village Development Index (IDM) of Bi’ih Village in 2025 and formulate development strategies toward an independent village through the integration of information technology and local wisdom. The method used is linear regression analysis of IDM data from 2017 to 2024, followed by a gap analysis comparing the achievements of Bi’ih Village with those of 11 self-reliant villages in Karang Intan Subdistrict. The prediction results show that the IDM value of Bi’ih Village in 2025 will be 0.7744, placing it in the Advanced category, 0.0411 points below the Independent threshold (>0.8155). The Social Resilience Index (IKS = 0.8782) and Environmental Resilience Index (IKL = 0.8388) have exceeded the Independent threshold, while the Economic Resilience Index (IKE) remains low at 0.6061. The main constraints include limited access to digital markets, manual financial record-keeping, and low digital literacy among village entrepreneurs. The novelty of this research lies in the formulation of a development strategy based on the integration of ICT and local wisdom, with a focus on strengthening digital BUMDes, implementing integrated financial systems, developing upstream–downstream partnerships, and branding local products. This approach demonstrates that digitalization rooted in local wisdom can enhance economic productivity, strengthen resilience, and support sustainable progress toward independent-village status.
Analyzing User Needs and Recommending Targeted Features for Bi’ih Village Tourism Website Using Text Mining and K-Means Clustering Artamevia, Mima; Lubis, Muharman; Mukti, Iqbal Yulizar; Handayani, Dini
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5458

Abstract

Tourism village websites often do not fully reflect user needs, resulting in digital services that cannot be optimally utilized by residents and potential tourists. This situation limits access to information and reduces the effectiveness of tourism promotion efforts, especially in villages that are undergoing digital transformation. This study was conducted to identify the overall needs of users and compile data-based feature recommendations for the development of the Bi'ih Village website as a durian tourism village. The research method used a quantitative approach through the distribution of an online questionnaire to 110 respondents consisting of visitors and residents, with five open-ended questions and several structured questions. The data was analyzed using text mining to find dominant words and themes, as well as the K-Means Clustering technique determined through the Elbow method to group user characteristics. The analysis results showed that there were 2,702 tokens and 677 meaningful words, with the highest demand for government information and visual tourism content. The segmentation process produced three main groups, namely Active Supporters (61.4%), Tech Enthusiasts (27.3%), and Moderate Users (11.4%). This study contributes a data-driven approach to designing more relevant and measurable features for tourism village websites. The impact is expected to increase the adoption of village digital services, strengthen tourism competitiveness, and support the acceleration of the Smart Village concept implementation. The novelty of this study lies in the integration of text mining and clustering as the basis for developing user-oriented feature recommendations.