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Integrasi Metode IPMS dan ANP dalam Pengukuran Kinerja Perusahaan (Studi Kasus : CV Ekasari) Irfan Nurdiansah; Sayyidah Maulidatul Afraah; Yuniaristanto Yuniaristanto
JURNAL TEKNIK INDUSTRI Vol. 10 No. 2 (2020): Volume 10 No 2 Juli 2020
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (708.48 KB) | DOI: 10.25105/jti.v10i2.8397

Abstract

Intisari— Dalam menjalankan katering diperlukan manajemen yang bertugas merencanakan, mengorganisir, dan mengontrol setiap aktivitas katering. CV. Ekasari merupakan perusahaan yang bergerak di bidang katering yang lebih fokus pada penyediaan roti dan kue. Perkembangan bisnis katering memaksa CV. Ekasari untuk selalu meningkatkan keseluruhan aspek kinerja perusahaan. Salah satu cara dalam mempertahankan daya saing dengan perusahaan lain ialah melalui penjagaan kualitas kinerja perusahaan yang dapat diketahui melalui pengukuran kinerja. Pada CV. Ekasari sebelumnya telah dilakukan penelitian pengukuran kinerja melalui integrasi metode Integrated Performance Measurement System (IPMS) dengan Analytical Hierarchy Process (AHP) namun hasil ini belum mempertimbangkan keterkaitan antarkriterianya. Penelitian ini menggabungkan metode IPMS dan Analytical Network Process (ANP) untuk mengetahui keterkaitan antarkriteria dan memberikan pembobotan yang lebih baik. Penelitian ini berhasil merumuskan key performance indicator (KPI) sejumlah 21 KPI tervalidasi dan KPI B31 yaitu current ratio dan KPI B32 yaitu debt of ratio membutuhkan perhatian khusus oleh perusahaan.Abstract— Managing catering means to plan, organize and control every catering activity. CV. Ekasari is a company engaged in catering focused on providing bread and cakes. The development of catering business forcing CV. Ekasari to enhance their performance. A way to maintain company competitiveness is through maintaining the quality of company performance through performance measurement. CV. Ekasari has previously conducted performance measurement research using the Integrated Performance Measurement System (IPMS) method integrated with Analytical Hierarchy Process (AHP) but these results have not taken into consideration the interrelationship between them. This study combines the methods of the IPMS and Analytical Network Process (ANP) to determine the inter-criteria linkages and provide a better weighting. This research succeeded in formulating 21 key performance indicator (KPI) that have been validated and KPI B31 and B32 which are the current ratio and debt of ratio require special attention by the company.
Penentuan Lokasi Pengisian Ulang Kendaraan Listrik untuk Distribusi Last Mile Menggunakan Set Covering Problem di Semarang Zelania In Haryanto; Sayyidah Maulidatul Afraah
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 2 (2024): Oktober : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i3.6308

Abstract

The increasing use of electric vehicles in last-mile logistics distribution demands efficient and strategic charging infrastructure. This study aims to determine the optimal location for electric vehicle charging stations in Semarang City using the Set Covering Problem approach. A total of 17 last-mile distribution points operated by a logistics company were analyzed based on geographic data consisting of latitude and longitude coordinates, which were then processed into a distance matrix using the Euclidean formula. The optimization model was developed under the constraint of the electric vehicle’s maximum coverage radius and solved using binary linear programming. The analysis revealed that a single charging station located in Central Semarang is sufficient to cover all distribution points spread across the city. These findings reinforce the efficiency of the set covering approach in infrastructure planning and offer practical implications for logistics companies to optimize resources, minimize investment costs, and improve operational efficiency.
Perancangan Sistem Pendukung Keputusan untuk Pengendalian Kualitas Produk pada Industri Bumbu Didin Dwi Novianto; Sayyidah Maulidatul Afraah
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 3 (2025): Desember : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i3.6289

Abstract

The spice industry faces significant challenges in maintaining product weight consistency as part of quality assurance and compliance with production standards. A case at PT X revealed that a newly installed filling machine produced deviations from the target weight of 50 grams, with hypothesis testing showing that out of 30 samples, 17 samples fell outside the  confidence interval. To mitigate this issue, this study proposes the development of a real-time data-driven Decision Support sistem (DSS) combined with statistical approaches. The methodology includes two-tailed hypothesis testing to detect weight deviations and Failure Mode and Effects Analysis (FMEA) to identify dominant failure causes based on high Risk Priority Numbers (RPN), such as delayed machine calibration, operator error, and worn-out machine components. These findings serve as the foundation for designing the DSS architecture, which consists of sensor input modules, statistical data processing, risk mapping, and an automated corrective recommendation engine. The sistem is designed to enable early detection of deviations, accelerate response time to quality issues, and support data-driven decision-making on the production floor. The study concludes that a structured implementation of DSS can be an effective strategy to improve product weight consistency and enhance operational efficiency in spice manufacturing.