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All Journal Jurnal Informatika Progres
Asri Yadi
Manajemen Informatika, STMIK Profesional Makassar
Computer Science & IT

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PENERAPAN METODE SMART DALAM PEMILIHAN PERPUSTAKAAN TINGKAT SMP TERBAIK DI KOTA MAKASSAR Ichsan Jaylani; Muhammad Fitrah Rivan; Andi Harmin; Asri Yadi
PROGRESS Vol 17 No 1 (2025): April
Publisher : P3M STMIK Profesional Makassar

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Abstract

The library plays a crucial role in supporting education and literacy. However, determining the best library in Makassar, particularly at the junior high school level, remains challenging due to various qualitative factors. This research applies the Simple Multi Attribute Rating Technique (SMART) method to evaluate and rank libraries objectively based on seven criteria: book collection, facilities, service, accessibility, innovation and technology, literacy activities, and cleanliness and safety. Data was collected through observations, questionnaires, and interviews across selected libraries in Makassar. The system developed provides a decision support tool that calculates weighted scores and recommends the best-performing library. Results show that SMART effectively delivers transparent and structured decision-making to support library quality assessment and policy recommendations.
SEGMENTASI NASABAH KREDIT BANK SULSELBAR BERDASARKAN INSTANSI DAN STATUS KEPEGAWAIAN Aidil Syamsul; Gilang Ghiakhuzuki Ramsidar; Dikwan Moeis; Asri Yadi
PROGRESS Vol 18 No 2 (2026): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v18i2.479

Abstract

Proper management of customer registration data forms the primary foundation for a banking credit division in mapping market potential. This study aims to identify the characteristics and distribution patterns of credit customers at Bank Sulselbar Gowa Branch based on their originating agency and employment status. Using a quantitative descriptive approach, a total of 271 secondary registration data entries were processed through data cleaning, preprocessing, and cross-tabulation stages. The results show that customers with active status dominate the proportion of credit applicants (53.14%), followed by PPPK (21.03%). Based on originating agencies, the Local Government (28.78%) and Elementary Schools (27.68%) are the largest contributors. Cross-tabulation reveals that applicants from the education sector dominate the certification category. This study demonstrates that the efficiency of medium-scale credit administrative data management can be achieved through standardized data processing without relying on complex systems.
Co-Authors Aidil Syamsul Andi Harmin Dikwan Moeis Gilang Ghiakhuzuki Ramsidar Ichsan Jaylani Muhammad Fitrah Rivan