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All Journal bit-Tech JAPI: Jurnal Akses Pengabdian Indonesia
Nuryana, Alif
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Health Professions Nursing Public Health Other

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Optimasi Pengelolaan Zakat, Infaq, Dan Sadaqah (ZIS) Melalui Sistem Informasi Berbasis Single Page Application (SPA) Di DKM Masjid Riyadhul Jannah Ciwastra, Kota Bandung Purnama, Adi; Rahman, Atep Aulia; Fauzi, Esa; Prasetyo, Bagus Alit; Nuryana, Alif; Robani, Husni
JAPI (Jurnal Akses Pengabdian Indonesia) Vol 9, No 1 (2024)
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/japi.v9i1.5775

Abstract

Pengelolaan kegiatan keagamaan seperti Zakat, Infaq, dan Sadaqah (ZIS) di DKM Masjid Riyadhul Jannah saat ini masih dilakukan secara manual, yang menimbulkan beberapa permasalahan yang signifikan. Tantangan yang dihadapi meliputi kurangnya efektivitas dalam pengawasan keuangan dan penanganan infaq, kurangnya efisiensi dalam proses administratif terkait zakat dan sadaqoh, serta risiko tinggi terkait kehilangan data yang memiliki nilai penting. Dalam era perkembangan teknologi digital yang pesat, situs web telah menjadi sarana yang relevan untuk menyimpan, mengelola, dan menyajikan data dengan akurat dan efisien. Pendekatan khusus menggunakan Single Page Application (SPA) semakin menambah keunggulan dalam menyediakan pengalaman pengguna yang lebih interaktif dan responsif. Dengan demikian, pengembangan dan implementasi SPA berbasis website menjadi solusi yang sangat diperlukan untuk mengatasi tantangan tersebut. Melalui langkah ini, diharapkan DKM Masjid Riyadhul Jannah dapat meningkatkan transparansi dan akuntabilitas keuangan, mengurangi risiko yang mungkin terjadi, serta memberikan pelayanan yang lebih efektif kepada jamaah dan masyarakat umum. Dengan adopsi teknologi informasi yang tepat, DKM Masjid Riyadhul Jannah dapat memperoleh manfaat signifikan dalam pengelolaan ZIS, menjadikannya lebih efisien dan adaptif terhadap tuntutan zaman serta memperkuat peran sosial dan spiritualnya dalam masyarakat.
Mapping Academic Landscapes: Topic Modeling for Institutional Repositories Nuryana, Alif; Purnama, Adi
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3721

Abstract

The rapid growth of scientific output in institutional repositories has created significant challenges for the efficient retrieval of information, particularly when searches rely solely on unstructured metadata. Although topic modelling has been widely applied to large bodies of text, little attention has been given to Indonesian-language repositories and metadata-only datasets harvested through standardized protocols. This study aims to address this issue by using Latent Dirichlet Allocation (LDA) to analyze the research landscape of the Widyatama University Repository, based on titles and abstracts that were collected automatically via the OAI-PMH protocol. The proposed methodology integrates the following processes: automated metadata harvesting; Indonesian-language text preprocessing; probabilistic topic modelling; and quantitative evaluation using coherence metrics, complemented by qualitative interpretability analysis. The experimental results show that the optimal model was achieved with 12 topics, giving a Coherence Score of 0.5546 categorized as 'Good'. This demonstrates that meaningful thematic structures can be extracted even from limited textual metadata. The identified topics reflect the university's main research areas, such as Marketing Management (12.5%), Auditing (12.4%), and Human Resource Management (12.1%), as well as specific domains like Informatics (6.7%). To enhance practical usability, the model outputs were deployed in an interactive, Streamlit-based dashboard enabling dynamic exploration of topic relationships and temporal trends. This study contributes to repository analytics by demonstrating how topic modelling driven by metadata can transform institutional repositories into intelligent systems for discovering knowledge, supporting the navigation of research, landscape analysis and evidence-based decision-making for academic management.
Co-Authors Adi Purnama Atep Aulia Rahman Bagus Alit Prasetyo Esa Fauzi Robani, Husni