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All Journal Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Informasi Sains dan Teknologi (ISAINTEK) Journal of Industrial and Mechanical Engineering
Karina Amanda Larasati
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Computer Science & IT Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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A Dual Resource Constrained Unrelated Parallel Machine Scheduling Model Considering Tardiness and Workload Balance Larasati, Karina Amanda; Sukoyo, Sukoyo; Akbar, Muhammad
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 26 No. 2 (2024): December 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.26.2.87-102

Abstract

The proposed study pertains to Multi-Task Simultaneous Supervision Dual Resource Constrained (MTSSDRC), which considers minimizing tardiness and workload balance. The workload balance is calculated using the Workload Smoothness Index (WSI). Additionally, the research concentrates on unrelated parallel machine schedules as they reflect the actual industry conditions in practice. This issue employs three methodologies: Mixed-Integer Linear Programming (MILP), Mixed-Integer Quadratic Problem (MIQP), and Mixed-Integer Quadratically Constrained Programming (MIQCP).  The results in the MILP model focus on the value of total tardiness so that the results obtained have a smaller total tardiness value. However, it is still uncertain that the WSI value is better because no boundaries have been set between the two objective functions to achieve optimal values in the MILP model. The MIQP model focuses on the Workload Smoothness Index (WSI) value to give a limit to the total tardiness objective function. Limit values ​​are obtained from MILP model values, and the resulting WSI value becomes smaller. Moreover, the MIQCP model focuses on the total tardiness value and has limits in the form of permitted WSI. This model produces a small WSI value in accordance with the specified WSI limits while adjusting the specified total tardiness.
Evaluasi Industri Kue Lapis “Cokro Tela Cake” terhadap SNI 01-4309-1996 dalam Aspek Technoware & Humanware Karina Amanda Larasati; Faturohman, Muhammad Iqbal
Jurnal Informasi, Sains dan Teknologi Vol. 8 No. 1 (2025): Juni: Jurnal Informasi Sains dan Teknologi
Publisher : Politeknik Negeri FakFak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/isaintek.v8i1.309

Abstract

Penelitian ini bertujuan untuk melakukan evaluasi penerapan komponen teknologi khususnya pada industri kecil menengah atau dikenal dengan istilah IKM Cokro Tela Cake, dengan memenuhi Standar Nasional (SNI) 01-4309-1996 untuk produk kue lapis. Model pengukuran yang digunakan adalah tingkat kesiapan teknologi dan modifikasi House of Quality (QFD) yang digunakan untuk mengidentifikasi kontribusi komponen technoware (fasilitas teknologi) dan humanware (kemampuan manusia), sehingga proses produksi berjalan lebih spesifik. Penelitian ini turut mengacu pada persyarakatan kualitas SNI. Adapun, hasil penelitian menunjukan adanya gap pada proses pembuatan khususnya bahan baku, serta tahap finishing. Analisis turut menunjukan bahwa perusahaan banyak memenuhi standar, namun faktanya area memerlukan peningkatan, khususnya pada pemanfaatan teknologi dan pelatihan kerja. Penelitian ini diharapkan dapat berkontribusi pada IKM untuk bisa meningkatkan kualitas teknologi yang jauh lebih baik dalam pengelolaan produk, dan meningkatkan sumber daya manusia yang optimal.
Perencanaan Persediaan Bahan Baku Semen Menggunakan Pendekatan Min-Max Inventory Berbasis Peramalan Febriawan, Najmadan; Winati, Famila Dwi; Larasati, Karina Amanda
Journal of Industrial and Mechanical Engineering Vol 3 No 1 (2025)
Publisher : Department of Industrial Engineering, Universitas Jenderal Soedirman.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jimien.2025.3.1.16231

Abstract

PT Solusi Bangun Indonesia is a cement manufacturing company that utilizes FABA (Fly Ash and Bottom Ash) as one of its supplementary raw materials. A significant issue faced by the company is the overstock of FABA, which contributes to increased storage costs and poses a risk of environmental pollution. This research aims to develop an optimal inventory planning strategy for FABA by integrating time series forecasting methods with a min-max inventory control policy. The study utilizes historical FABA demand data from July 2023 to June 2024. Three forecasting techniques are applied: moving average, weighted moving average, and exponential smoothing. Accuracy evaluation indicates that the moving average method with a parameter of n = 3 produces the lowest forecasting error, as measured by MSE and MAD. The forecasting model is further validated using the Moving Range Chart to ensure its stability and reliability. The calculated safety stock at a 95% service level is 191.34 tons, with a minimum inventory of 758.83 tons and a maximum of 1,326.31 tons. This forecasting-based min-max policy effectively enhances inventory efficiency, mitigates risks of overstock and stockout, and supports operational sustainability.
Co-Authors Famila Dwi Winati Faturohman, Muhammad Iqbal Febriawan, Najmadan Muhammad Akbar Sukoyo Sukoyo