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All Journal INVENTORY : Industrial Vocational E-Journal On Agroindustry JT-IBSI (Jurnal Teknik Ibnu Sina) Journal of Systems Engineering and Management
Muhammad Nurhasan Assidiq
Universitas Sultan Ageng Tirtayasa
Control & Systems Engineering Engineering Industrial & Manufacturing Engineering

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Market Basket Analysis dengan Metode Association Rule Menggunakan Algoritma FP-Growth untuk Mendukung Strategi Promosi Ritel Modern Muhammad Nurhasan Assidiq; Achmad Bahauddin; Chyntia Devi Octaviany; Nurul Ummi; Ade Sri Mariawati
Journal of Systems Engineering and Management Vol 5, No 1 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/joseam.v5i1.40369

Abstract

Persaingan bisnis pada sektor ritel modern mendorong perusahaan untuk memahami pola perilaku konsumen guna meningkatkan efektivitas strategi promosi. Data transaksi penjualan yang tersimpan dalam sistem ritel dapat dimanfaatkan untuk menemukan hubungan antar produk yang sering dibeli secara bersamaan melalui pendekatan data mining. Penelitian ini bertujuan untuk menganalisis frequent itemset dan pola asosiasi produk menggunakan metode Association Rule  dengan algoritma FP-Growth untuk mendukung strategi promosi pada ritel modern. Data yang digunakan berupa data transaksi penjualan minimarket yang telah melalui tahapan pre-processing, transformasi data, dan pembentukan itemset. Proses analisis dilakukan dengan menentukan nilai minimum support dan minimum confidence untuk menghasilkan aturan asosiasi yang relevan. Hasil penelitian menunjukkan bahwa algoritma FP-Growth mampu mengidentifikasi pola pembelian konsumen berdasarkan kombinasi produk yang sering muncul dalam transaksi. Beberapa aturan asosiasi yang diperoleh memiliki nilai support dan confidence yang tinggi sehingga dapat dimanfaatkan sebagai dasar dalam penyusunan strategi promosi, penentuan paket bundling produk, serta penempatan produk pada area penjualan. Dengan demikian, penerapan Association Rule  menggunakan algoritma FP-Growth dapat membantu pihak ritel dalam meningkatkan efektivitas promosi dan mendukung pengambilan keputusan berbasis data.
Mengurangi Defect Saat Proses Loading dengan Pendekatan Six Sigma DMAIC di Warehouse PT. Mulford Indonesia Muhammad Nurhasan Assidiq; Ismail Kurnia; Algi Hayatul Firman; Florida Butarbutar; Syarif Hadiwijaya
Jurnal Teknik Ibnu Sina Vol 11 No 01 (2026): JUNI
Publisher : Jurnal Teknik Ibnusina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jt-ibsi.v11i01.1453

Abstract

The objective of this research is to improve the causes of product damage in Alderon 830 during the loading process at PT Mulford Indonesia using the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) approach. The analysis reveals four major types of defects, namely scratches, dents, holes, and center breakage. Scratches are the most frequently encountered defect. This study integrates the methods of 5W+1H, SIPOC, CTQ, DPMO, capability process, fishbone diagram. The research findings indicate that human factors, environment, method, material, and machine contribute to product damage. The aim of this research is to propose seven improvements, including enhanced direct supervision, reduction in custom production, improved coordination with suppliers, implementation of product labeling, proper storage positioning, monthly stocktaking supervision, and better forklift maintenance. The implementation of these improvements resulted in a decrease of 0.70% in the percentage of damage and an increase in sigma from 3.61 to 3.65. The research findings demonstrate the effectiveness of the Six Sigma DMAIC approach in identifying and rectifying the causes of product damage in Alderon 830.
Implementasi Supply Chain Operation Reference (SCOR) dalam Pengukuran Kinerja Supply Chain PT. XYZ Muhammad Nurhasan Assidiq; Kartiko Eko Putranto; Fajri Hilmi; Florida Butarbutar; Syarif Hadiwijaya
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 7 No. 1 (2026)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v7i1.101

Abstract

PT. XYZ is a company engaged in Precision, Part, JIG, Fixture, Dies, Fabrication and Extrude Plastic. This study focuses on extrude plastic products by measuring the performance of the company's supply chain management which has recently been experiencing a decline due to a mismatch between forecasting results and actual demand resulting in product splitting and causing additional work in managing products to be sent to consumers, as well as other problems is the quantity and lead time of raw materials sent by suppliers does not meet standards so that it has a negative impact on the company. Measurement of supply chain management performance in the company should be conducted using the SCOR method and pairwise comparisons. Research instrument by distributing questionnaires, focus group discussions and brainstorming was carried out to determine the benchmarks for planning and evaluation in managing the company's supply chain. Based on several department that have job description regarding to supply chain in this company, 12 employees were choosen as a respondent in this research. The results showed that 14 KPIs was obtained from literature review and distribute the research instrument, passed the validation with R-value > R-table 0.5324 and reliability tests have high reliability with value 0.881. Pairwise comparisons were conducted, resulting in a supply chain performance index of 71.93%, categorized as good with performance indicator between 70-90%. From 3 suggested improvements, improved information system integration between the company and suppliers is a first priority to improve supply chain performance by reducing waste due to misinformation.
Co-Authors Achmad Bahauddin Algi Hayatul Firman Chyntia Devi Octaviany Fajri Hilmi Florida Butarbutar Florida Butarbutar Ismail Kurnia Kartiko Eko Putranto Nurul Ummi syarif hadiwijaya Syarif Hadiwijaya