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Analysis of Coping Stress of Amil in Collecting Philanthropic Funds at Dompet Dhuafa Branch Offices in Indonesia Armansyah Armansyah; Muhammad Ramadhan; Yenni Samri Juliati Nasution
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 6 No. 1 (2026)
Publisher : CV. RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v6i1.5169

Abstract

Amil, as managers of zakat funds, play a strategic role in sustaining Islamic philanthropic governance. However, increasing fundraising targets, organizational uncertainty, and professional pressures expose amil to significant work stress. This study aims to examine the determinants of stress coping among amil at Dompet Dhuafa branch offices in Indonesia by integrating psychological coping theory with the maqāṣid al-sharī’ah framework. Using a quantitative approach with Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from 141 amil across branch offices in Indonesia. The model tested problem-focused coping, emotion-focused coping, and maqāṣid dimensions (Hifz al-din, Hifz al-nafs, and Hifz al-‘aql) as predictors of coping stress. The findings reveal that planful problem solving, seeking social support, positive reappraisal, accepting responsibility, self-controlling, and the maqāṣid dimensions significantly influence amil stress coping, while avoidance-based strategies such as distancing and escape avoidance are not significant. The results indicate that effective stress coping among amil is multidimensional, shaped by cognitive capacity, social support, and spiritual reinforcement within an institutional governance context. Theoretically, this study extends stress coping literature by empirically operationalizing maqāṣid al-sharī’ah as a coping determinant within Islamic philanthropic governance. Practically, the findings provide a foundation for zakat institutions to design integrated human resource policies that strengthen organizational support, cognitive resilience, and spiritual values to ensure sustainable institutional performance.
Pemodelan Sistem Manajemen Arsip Berbasis Workflow Untuk Mendukung Tata Kelola Dokumen Cici Melisma; Armansyah Armansyah
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7113

Abstract

Records management at the North Sumatra Provincial Regional Revenue Agency faces various challenges, such as a lack of integration in document recording processes, manual records management workflows, inefficient document retrieval, and the risk of record loss or damage. These issues highlight the need for a records management system capable of enhancing document management efficiency and supporting structured records governance. This study aims to develop a workflow-based records management system model to serve as a reference for developing a digital records management system. Research data were collected through observation, interviews, and a review of existing records management processes. The study employed the Prototyping development method, encompassing requirements analysis, business process modeling using Business Process Model and Notation (BPMN), system modeling using Unified Modeling Language (UML), database design using Entity Relationship Diagrams (ERD), and interface prototype development using Figma. The study produced a system model, database design, and interface prototype, all of which were validated for alignment with business processes and user requirements. Validation results indicate that all functional requirements are accommodated within the proposed model, enabling it to systematically represent the records management process and serve as a viable reference for developing a digital records management system.
PENJADWALAN DAN REKOMENDASI DOSEN PENGUJI SIDANG MUNAQASYAH BERBASIS CLOUD-AI INTEGRATED SYSTEM Aidil Halim Lubis; Armansyah Armansyah; Ilka Zufria; Yusrizal Hakim; Dhafa Hibrizi Sitorus
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5771

Abstract

Abstract: This study aims to create an information system for registering Munaqasyah or Colloquium hearings by combining Cloud computing and Artificial Intelligence (AI) technologies based on a decision support system. In this study, AI is used to select thesis research fields in order to recommend examiners who are suitable for the students' research topics and to schedule student munaqasyah hearings in a structured and automated manner. Cloud computing is useful for storing all examination requirements, minutes, etc. on a cloud platform that supports the process in real time. The system was developed using a phased Cloud-AI approach, namely planning, design, implementation, testing, and evaluation repeatedly. This system was created using a web platform and combines students' final assignments and lecturers' expertise as a basis for decision making. The research results show that this system can support more efficient examination registration and provide accurate recommendations for examiners and automatic scheduling. With the integration of Cloud-AI in this system, academic administration management can be more effective, and services for students and the management of munaqasyah examinations in the Computer Science study program can be improved. Keyword: Waterfall Development, Artificial Intelligence, Decision Support System, Munaqasyah Examination, Final Project.. Abstrak: Penelitian ini bertujuan membuat sistem informasi untuk pendaftaran sidang Munaqasyah atau Kolokium dengan menggabungkan teknologi Cloud computing dan Artificial Intelligence (AI) yang sederhana berdasarkan sistem pendukung keputusan. Pada penelitian ini, AI digunakan dengan cara memilih bidang penelitian skripsi agar bisa memberi rekomendasi dosen penguji yang sesuai dengan topik penelitian mahasiswa dan penjadwalan sidang munaqasyah mahasiswa secara terstruktur dan otomatis. Cloud computing berguna untuk penyimpanan semua dokumen syarat sidang, berita acara, dll pada platform cloud yang menunjang proses secara realtime. Pengembangan sistem dilakukan dengan pendekatan Cloud-AI yang bertahap, yaitu perencanaan, desain, implementasi, pengujian, dan evaluasi secara berulang. Sistem ini dibuat menggunakan platform web dan menggabungkan bidang tugas akhir mahasiswa serta keahlian dosen sebagai dasar untuk mengambil keputusan. Hasil penelitian menunjukkan bahwa sistem ini bisa mendukung pendaftaran sidang lebih efisien serta memberi rekomendasi dosen penguji yang tepat dan akurat dan penjadwalan secara otomatis. Dengan adanya integrasi Cloud-AI dalam sistem ini, maka pengelolaan administrasi akademik bisa lebih efektif, dan pelayanan bagi mahasiswa serta pengelolaan sidang munaqasyah di prodi Ilmu Komputer dapat meningkat. Kata kunci: Waterfall Development, Artificial Intelligence, Decision Support System, Sidang Munaqasyah, Tugas Akhir.
Visualisasi Data Penerimaan PKB dan Identifikasi Dominasi Kategori Kendaraan menggunakan Pendekatan Clustering Winda Yunia Purnama; Dedek Nurlina; Armansyah Armansyah
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 6 No. 1 (2026): Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v6i1.7494

Abstract

Motor Vehicle Tax (PKB) as the primary source of Regional Own Revenue (PAD) in North Sumatra has not been utilized optimally due to the lack of systematic analysis to identify contribution patterns across vehicle categories. This study aims to cluster vehicle categories based on PKB contributions using the K-Means Clustering algorithm, in order to provide clear visual insights for decision-making. The data used were derived from PKB realization across five vehicle categories (Passenger Cars, Buses, Cargo Vehicles, Motorcycles, and Special Vehicles) at 34 SAMSAT Technical Implementation Units (UPT) in North Sumatra for the period January–August 2025. The methodology includes data preprocessing, category aggregation, Min-Max Scaling normalization, and optimal cluster determination using the Elbow method. The results indicate an optimal cluster of K=3 (Silhouette Coefficient=0.62; Davies–Bouldin Index=0.78), with Passenger Cars as the dominant category (71.8%) and Motorcycles at an intermediate level (18.2%). Data visualization through monthly trend charts, proportion heatmaps, and bar charts of the top 10 UPTs reveals seasonal fluctuation patterns in PKB revenue. These findings can serve as a basis for priority collection strategies and data-driven transportation infrastructure planning for regional institutions and SAMSAT North Sumatra