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Optimalisasi Strategi Product Bundling melalui Pemetaan Pola Peminatan dan Pola Penjualan Produk menggunakan K-Means Clustering dan Apriori Oktavian, Bagas Dwi; Lumintu, Ida; Amar, Samsul
Journal of Integrated System Vol. 8 No. 1 (2025): Journal of Integrated System Vol. 8 No. 1 (June 2025)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jis.v8i1.11503

Abstract

Persaingan bisnis ritel yang semakin kompetitif menuntut strategi pemasaran yang lebih terarah dan berbasis data untuk mengatasi stagnasi penjualan, khususnya pada produk dengan permintaan rendah. Penelitian ini bertujuan mengembangkan pendekatan analitik untuk mengoptimalkan strategi product bundling di toko Aldrin Stocklot’s melalui pemetaan pola peminatan dan keterkaitan produk. Metode yang digunakan meliputi analisis Recency, Frequency, and Monetary (RFM) pada level produk, K-Means Clustering untuk segmentasi produk berdasarkan peminatan, dan algoritma Apriori untuk mengidentifikasi asosiasi antarproduk dalam transaksi pelanggan. Hasil menunjukkan bahwa 82% produk termasuk kategori kurang diminati, dan hanya 13 dari 33 aturan asosiasi yang efektif untuk bundling lintas klaster. Evaluasi clustering menggunakan Davies-Bouldin Index (DBI) sebesar 0.717 menandakan kualitas segmentasi yang cukup baik. Temuan ini memperkuat argumen bahwa integrasi klasterisasi dan association rule mining pada level produk dapat menghasilkan rekomendasi bundel yang lebih adaptif untuk meningkatkan visibilitas dan penjualan produk stagnan. Implikasi praktis dari pendekatan ini berpotensi direplikasi di sektor ritel UMKM lainnya.
MANAJEMEN RANTAI PASOK PADA INDUSTRI KECIL MENENGAH GARAM MADURA DENGAN PENDEKATAN HOUSE OF RISK Novianti, Trisita; Utami, Issa Dyah; Amar, Samsul
Jurnal Agribisnis Indonesia Vol. 13 No. 2 (2025): Desember 2025 (Jurnal Agribisnis Indonesia)
Publisher : Departmen of Agribusiness, Economics and Management Faculty, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jai.2025.13.2.464-475

Abstract

Madura Island is recognized as a primary salt supplier in Indonesia, contributing significantly to national production. Despite this, its Small and Medium Enterprises (SMEs) face persistent challenges that create a precarious supply chain, characterized by noncompetitive pricing and extended, inefficient distribution networks. These vulnerabilities necessitate a structured approach to risk management. Therefore, this study aims to identify dominant supply chain risks, analyze their root causes, and formulate effective mitigation strategies for Madura salt SMEs. The methodology employs a two-stage approach. First, the Supply Chain Operation Reference (SCOR) model is used to map processes and identify potential risk events. Second, the House of Risk (HOR) model is applied. HOR Phase 1 prioritizes the risk agents based on their severity and occurrence, and HOR Phase 2 develops proactive mitigation actions. The research identified 9 distinct risk events and 23 corresponding risk agents across the SCOR processes. The HOR 1 analysis revealed that the most critical risk agents are insufficient solar heat intensity (A9), high precipitation (A10), price manipulation by intermediaries (A4), and inadequate salt processing competence (A11). From these priorities, seven strategic mitigation actions were formulated in HOR 2. The most crucial recommendations include implementing solar heat monitoring technology, developing contractual partnerships to stabilize prices, and providing technical training for farmers on salt processing standards. This research provides actionable strategies to enhance the overall resilience and sustainability of the salt SME supply chain.