Claim Missing Document
Check
Articles

Decision Support System for Selecting Outstanding Religious Counselors in Jambi Province Using Analytical Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution Suryani, Suryani; Zaenal Abidin, Dodo; Purnama, Benni; Gunardi, Gunardi
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.2025.6.5.5385

Abstract

Religious counselors play an essential role in fostering religious moderation, strengthening community cohesion, and promoting social harmony. However, the evaluation of their performance remains largely manual, leading to subjectivity, inconsistency, and limited accountability. This study develops a web-based Decision Support System that integrates the Analytical Hierarchy Process and the Technique for Order Preference by Similarity to Ideal Solution to enhance objectivity, transparency, and data-driven evaluation. The Analytical Hierarchy Process was applied to determine the importance of five criteria—portfolio, scientific paper, program video, presentation or interview, and absenteeism—through expert pairwise comparisons. The Technique for Order Preference by Similarity to Ideal Solution was then used to rank twenty-four religious counselors from the Regional Office of the Ministry of Religious Affairs in Jambi Province. The results show that portfolio (47.4%) and presentation or interview (24.4%) were the most influential criteria, while the others served as complementary factors. Counselors with comprehensive documentation and strong communication skills consistently ranked higher, validating the system’s analytical reliability. This study’s novelty lies in applying a multi-criteria decision-making framework within the religious sector, directly aligned with the 2024 Technical Guidelines for the Islamic Religious Counselor Award (Keputusan Dirjen Bimas Islam No. 352/2024). Furthermore, this research supports the Ministry of Religious Affairs’ Eight Priority Transformation Programs (Asta Protas), particularly in digitalizing governance and promoting transparent, accountable, and data-driven management. From an informatics perspective, this system demonstrates the effective implementation of decision-support algorithms in a web-based environment, highlighting the contribution of information technology to evidence-based performance evaluation.
PENERAPAN DATA MINING DALAM MENGELOMPOKKAN JUMLAH UMKM KOTA JAMBI MENGGUNAKAN K-MEANS CLUSTERING: Objek Penelitian Muhammad Aji Triatama; Jasmir; Benni Purnama
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 5 No 2 (2025): JMS Vol 5 No 2 September 2025
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2025.5.2.2316

Abstract

Abstrak−Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki kontribusi yang signifikan dalam mendukung perkembangan ekonomi di tingkat lokal, termasuk di Kota Jambi. Namun, banyak UMKM menghadapi kendala dalam pengelolaan data dan perumusan strategi bisnis yang efektif. Penelitian ini bertujuan untuk mengelompokkan UMKM di Kota Jambi dengan memanfaatkan metode K-Means Clustering sebagai bagian dari teknik data mining. Data penelitian mencakup 1.331 UMKM di bidang fashion, dengan variabel karakteristik seperti kepemilikan, modal awal, penghasilan per bulan dan per tahun, jumlah karyawan, serta aset. Hasil penelitian menunjukkan bahwa perhitungan manual menghasilkan tiga kelompok: 627 UMKM (Cluster 1) direkomendasikan menerima bantuan peralatan, 358 UMKM (Cluster 2) mendapatkan fasilitas kelembagaan, dan 346 UMKM (Cluster 3) diarahkan untuk pelatihan. Sementara itu, perhitungan dengan tools Rapid Miner menghasilkan pembagian berbeda akibat variasi pengambilan centroid. Cluster 0 berisi 840 UMKM, Cluster 1 berisi 9 UMKM, dan Cluster 2 berisi 482 UMKM. Penelitian ini membuktikan bahwa K-Means Clustering dapat memberikan wawasan berharga tentang distribusi dan kebutuhan UMKM, sehingga membantu pengambil kebijakan dalam merancang program yang lebih tepat sasaran. Dengan demikian, metode ini diharapkan dapat berkontribusi pada pengembangan UMKM secara lebih terarah dan berkelanjutan di Kota Jambi.