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All Journal Sistemasi: Jurnal Sistem Informasi Impression : Jurnal Teknologi dan Informasi
Rasyada, Reza Dian
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering

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Analisis Efektivitas Penggunaan Sistem Informasi Keuangan di Pemerintahan Desa maulana, Rizky; Rahmi, Zulaida; Rasyada, Reza Dian; Najmi, Muazziss
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 2 (2025): July 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i2.1044

Abstract

istem Informasi Keuangan Desa (Siskeudes) merupakan salah satu solusi digital yang dikembangkan untuk meningkatkan transparansi dan akuntabilitas pengelolaan keuangan desa. Penelitian ini bertujuan untuk menganalisis efektivitas penggunaan sistem informasi keuangan di pemerintah desa dalam hal efisiensi, akurasi, dan kemudahan pelaporan keuangan. Metode yang digunakan adalah deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi di beberapa desa di Kabupaten Bireuen. Hasil penelitian menunjukkan bahwa sistem informasi keuangan mempengaruhi kelengkapan akurasi data dan transparasi karena sistem telah meningkatkan efisiensi pelaporan, namun masih terdapat kendala pada pelatihan SDM dan ketersediaan infrastruktur TI.   The Village Financial Information System (Siskeudes) is a digital solution developed to improve transparency and accountability in village financial management. This study aims to analyze the effectiveness of the use of financial information systems in village governments in terms of efficiency, accuracy, and ease of financial reporting. The method used is descriptive qualitative with data collection techniques through observation, interviews, and documentation in several villages in Bireuen Regency. The results show that the financial information system affects the completeness, accuracy, and transparency of data because the system has increased reporting efficiency. However, there are still obstacles in human resource training and the availability of IT infrastructure.  
Application of the Profile Matching Analysis Method in Decision Support Systems for Study Program Recommendations Rasyada, Reza Dian; Nurdin, Nurdin; Fajriana, Fajriana
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3161

Abstract

Currently, many prospective students are still confused about which study program to choose. One of the problematic factors is the lack of references from prospective students about the contents of each study program. This research aims to build a decision support system for study program recommendations using the Profile Matching Analysis method. The benefits of this research can provide final results in the form of recommended study program scores that are most suitable for prospective students. There are 5 assessment criteria used in this research, namely Language Values, Logic/IT Values, Science Values, Practice Values, and Social Values. The methods or stages carried out in this research are: data collection, system flowchart design, application of the Profile Matching Analysis method and system implementation. In this research, the recommendation results were obtained for a student with the name Afni Ruhmini based on the results of system calculations using the Profile Matching Analysis method, obtaining recommendation results for the Public Administration study program with a score = 5.3, the Marine Science study program with a score = 5.9, and the Agribusiness study program with a score = 5.6, the Physics Education study program with a score = 5.7 and the Law study program with a score = 4.8. The Profile Matching Analysis method is very suitable to be applied to solve problems in decision support system research for study program recommendations.
Co-Authors Fajriana, Fajriana Najmi, Muazziss Nurdin Nurdin Rahmi, Zulaida Rizky Maulana, Rizky