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INDONESIA
JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK
Published by Politeknik APP Jakarta
ISSN : 1411142X     EISSN : 25985795     DOI : -
Core Subject : Science, Engineering,
Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Transportation
Jurnal Manajemen Industri dan Logistik (Industrial and Logistic Management Journal) JMIL, invites academician/researchers/contributors to submit research papers, technical papers, conceptual papers, and case study reports in the scope of Logistics Management, Industrial Marketing, and International Trade in Bahasa Indonesia or English written. Published twice a year in MAY and NOVEMBER:
Arjuna Subject : -
Articles 383 Documents
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An Empirical Analysis Of The Impact Of Human Resource Management, Logistic Warehouse, And Production Planning On Company Performance In The Manufacturing Industry Hamzah Muhammad Mardi Putra; Rahmat Hidayat; Saur Panjaitan
Jurnal Manajemen Industri dan Logistik Vol. 9 No. 2 (2025): 10 original research articles, were authored/co-authored by 33 authors from 2 c
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v9i2.1637

Abstract

This study aims to analyze the Factors Affecting Company Performance Through Human Resource Management, Logistics Warehouse, and Production Planning in the Manufacturing Industry in Indonesia. Data were collected through a survey involving 150 employees from several manufacturing industry companies in Indonesia. The results of the study indicate that the Human Resource Management variable has a negative and significant effect on employee performance, Warehouse Logistics, and Production Planning has a positive and significant effect on company performance. The findings reveal that HRM has a negative and significant effect on employee performance, indicating potential issues in HR policies, practices, or implementation that may hinder workforce productivity. These results highlight the importance of reviewing HRM strategies while strengthening logistics and production systems to achieve sustainable performance in the manufacturing sector.
Optimizing Online Transportation Efficiency with a Value Chain Taguchi Method Approach Rini Mulyani Sari; Evan Nugraha
Jurnal Manajemen Industri dan Logistik Vol. 9 No. 2 (2025): 10 original research articles, were authored/co-authored by 33 authors from 2 c
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v9i2.1639

Abstract

This study explores how applying the Taguchi method as a robust design tool can strengthen value chain integration in Indonesia’s ride-hailing services. A survey of 162 users was conducted, with responses examined through factor allocation, variance analysis, and a structured quality control cycle covering verification, validation, implementation, feedback, documentation, and reporting. The findings highlight several service quality drivers: timely response during peak demand, transparent pricing, convenient digital payments, and dependable customer support. The results reveal gaps between actual operations and customer expectations, underscoring the need for tighter alignment. By positioning the Taguchi method within a service-based value chain, this research introduces a novel contribution, demonstrating how quality design principles traditionally applied in manufacturing can enhance efficiency, resilience, and customer satisfaction in the competitive ride-hailing sector.
Measuring the Effectiveness of Furniture Sample Export via Air Cargo in the Furniture Industry Using Simple Weighting Method Peni Shoffiyati; Dian Purnomo; Fesa Kristianto
Jurnal Manajemen Industri dan Logistik Vol. 9 No. 2 (2025): 10 original research articles, were authored/co-authored by 33 authors from 2 c
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v9i2.1698

Abstract

This research aims to improve logistics in Indonesia's furniture export sector, focusing on companies that face challenges in choosing the best air cargo service for product samples. While air cargo is preferred for its speed and reliability, selecting the optimal provider remains complex due to various service factors. The study applies the Simple Additive Weighting (SAW) method to evaluate air cargo services based on six criteria: delivery speed, document preparation, problem handling, customer maintenance, promotional activities, and shipping cost. The results indicate DHL as the best provider with a score of 0.93913, followed by FedEx and TNT Express. DHL excels in delivery speed and document preparation, crucial for international trade. This study highlights the SAW method's effectiveness in offering a transparent, data-driven approach to logistics decision-making, potentially benefiting other companies facing similar logistics challenges, improving shipment efficiency, reducing costs, and enhancing global competitiveness.
Supply Chain Optimization of Industrial Machinery Projects Based on Artificial Neural Networks for Multi-Product Demand Forecasting Melinda Alfina Regiyanti; Eko Wahyu abryandoko; Rizky Stighfarrinata; Pandu Pramu Setyadewa
Jurnal Manajemen Industri dan Logistik Vol. 9 No. 2 (2025): 10 original research articles, were authored/co-authored by 33 authors from 2 c
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v9i2.1702

Abstract

Fluctuating demand and diverse products pose significant challenges for supply chain management in manufacturing, leading to production disruptions and increased costs. This study aims to optimize the supply chain of the industrial machinery sector through demand forecasting with artificial neural networks (ANN). Demand data covering 24 months for three products—water tanks, mixer machines, and conveyors—were analyzed using time series clustering based on autocorrelation and complete linkage. Stationarity was tested using the Augmented Dickey-Fuller (ADF) and Box-Cox transformation prior to modeling. The ANN was trained with a learning rate of 0.001, 20 hidden neurons, and PACF-based lag inputs. Results showed that cluster one achieved a MAPE below 30%, indicating strong predictive accuracy, while cluster two achieved a MAPE below 50%, considered acceptable. Predictions for the 25th month from cluster one are recommended for inventory planning. The study demonstrates that ANN-based forecasting effectively supports decision-making and enhances supply chain optimization in multi-product manufacturing.
Selecting Green Suppliers Using a Hybrid Fuzzy BWM and IVIF-MABAC Approach in the Tropical Fruit Sector Dana Marsetiya Utama; Krisna Hayu Dirgantara
Jurnal Manajemen Industri dan Logistik Vol. 10 No. 1 (2026): 10 original research articles, were authored/co-authored by 38 authors from 3
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v10i1.1718

Abstract

Agribusiness companies face challenges in green supplier selection due to subjective judgments and information gaps. To address these linguistic ambiguity and subjective uncertainties, this study develops a hybrid MCDM framework integrating the α-cut based Fuzzy BWM and Interval-Valued Intuitionistic Fuzzy MABAC (IVIF-MABAC). F-BWM α-cut derives stable weights from linguistic preferences, and IVIF-MABAC provides robust ranking by handling hesitancy. This approach, novel for the Indonesian tropical fruit sector, involved three experts (academic, manager, consultant) via questionnaires and FGDs. Results show Product Quality and Transparency & Traceability are critical. The 4th Green Supplier consistently achieved the highest ranking. The framework offers managers a reliable tool, enhancing sustainability and competitiveness within tropical fruit supply chains.
Statistical Analysis Of Pharmaceutical Industry Energy Saving Potential By Benchmarking Sukono Sungkono; Burhan Bungin; Damelina Basauli Tambunan
Jurnal Manajemen Industri dan Logistik Vol. 9 No. 2 (2025): 10 original research articles, were authored/co-authored by 33 authors from 2 c
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v9i2.1720

Abstract

This study focuses on identifying and quantifying the potential for energy savings in the pharmaceutical industry through a comprehensive energy audit approach. This analysis enabled the identification of electricity usage patterns, assessment of operational efficiency, and evaluation of overall energy performance indicators. The results reveal a consistent year-over-year increase in energy demand, exceeding the projected electricity supply from the grid. These findings highlight the urgent need for energy optimization strategies, such as the adoption of advanced energy management systems, process optimization, and investment in renewable energy integration, to ensure sustainable operations and mitigate the risks of future energy shortages. By providing actionable insights and quantifiable metrics, this research contributes to supporting decision-makers in the pharmaceutical sector in planning energy-efficient operations and aligning with sustainability goals.
Integrating Material Circularity and Green Logistics Indicators in Supply Chain Performance Measurement Using the Green SCOR Model Alina Cynthia Dewi; Maria Fiore Winni Kristianes; Mohammad Rachman Waluyo; Nurfajriah
Jurnal Manajemen Industri dan Logistik Vol. 10 No. 1 (2026): 10 original research articles, were authored/co-authored by 38 authors from 3
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v10i1.1723

Abstract

Integrating environmental considerations into supply chain performance measurement has become increasingly critical, growing sustainability and corporate responsibility. In the textile industry, particularly the non-woven sector, complex activities and mounting environmental pressures underscore the need for sustainability-oriented evaluation. The company lacks a supply chain performance measurement system that considers environmental aspects, creating a research gap that this study addresses. This study evaluates supply chain performance by embedding environmental dimensions into the measurement framework. The research was conducted in four stages: (1) identifying indicators through the Content Validity Index; (2) weighting indicators using the Analytic Hierarchy Process; (3) assessing performance with the Objective Matrix; and (4) classifying priorities through the Traffic Light System. A total of 22 validated indicators were applied, including three green indicators: Recycled Material Usage, Reusable Material, and Truck Load Optimization Rate. Recycled Material Usage was introduced as a novel indicator and validated as contextually significant for industrial supply chains. Results show a 2024 performance score of 5.678, classified as yellow under the Traffic Light System with five indicators as critical priorities for improvement. This study provides a regular monitoring tool that enables managers to establish a sustainable supply chain.
Designing a Sugarcane Based Raw Material Procurement Model for the Sugar Industry Wahyu Adi Guna; Hartrisari Hardjomidjojo; Marimin Marimin
Jurnal Manajemen Industri dan Logistik Vol. 10 No. 1 (2026): 10 original research articles, were authored/co-authored by 38 authors from 3
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v10i1.1727

Abstract

This study aims to design a system dynamics model to analyze and improve sugarcane-based procurement at PT Sukses Mantap Sejahtera (PT SMS). The model integrates three subsystems—plantation, production, and demand—to represent the interactions among supply sources, milling capacity, and regional sugar needs. Model validation using Theil's Inequality Statistics confirms the simulation results with actual data, indicating that most deviations arise from random noise rather than systematic bias. Five policy scenarios were designed to enhance system performance: (1) increasing sugarcane prices, (2) introducing subsidies for machinery rental and fertilizers, (3) improving sugarcane yield to 7.68%, (4) expanding livestock routes in the nucleus estate to 210 hectares, and (5) combining Scenarios 2, 3, and 4. Scenario 5 demonstrates the best performance, increasing sugarcane and WCS production by 4.06% and 8.32% annually. By 2030, sugarcane reaches 510,396.56 tons (+6.74%) with 68.05% milling utilization, producing 39,198.46 tons of WCS (+12.14%) and meeting 64.91% of demand in Eastern Indonesia. These results underscore the importance of integrated management, stakeholder collaboration, and Good Agricultural Practices.
Challenges of Developing Environmentally Friendly Transportation Infrastructure in Urban Areas Muhamad Fajar Subkhan; Muhammad Taali
Jurnal Manajemen Industri dan Logistik Vol. 9 No. 2 (2025): 10 original research articles, were authored/co-authored by 33 authors from 2 c
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v9i2.1735

Abstract

This research aims to identify and analyze the main challenges in developing environmentally friendly transportation infrastructure in urban areas, as well as to provide technical solutions based on calculations and scientific approaches in the field of transportation infrastructure engineering.The method used is a descriptive qualitative approach, with data collection through literature studies and field observations. The results of the study indicate that the development of environmentally friendly transportation in urban areas faces various challenges, ranging from budget constraints, weak coordination between sectors, to low public awareness. To strengthen the qualitative data, a system dynamics based on quantitative data is used with simulation 1 showing sustainability up to 30% of 100%, simulation 2 up to 25% of 100%, simulation 3 up to 20% of 100%, simulation 4 up to 15% of 100%, and simulation 5 up to 10% of 100%, thus showing that the factor that must be maximized is infrastructure and technology.
Supply Chain Sustainability as a Mediator of Sustainable Performance in Indonesian Logistics SMEs Ferdy; Stefanus Kaihatu; Timotius Febry Christian
Jurnal Manajemen Industri dan Logistik inpress publication
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study investigates supply chain sustainability as a mediating mechanism transforming organizational antecedents into sustainable performance outcomes among Indonesian logistics small and medium enterprises (SMEs). Drawing on stakeholder theory and resource-based view, we develop and test a mediation model using data from 284 Indonesian logistics SMEs across five geographic regions. Partial least squares structural equation modeling with 5,000 bootstrap resamples examines relationships between top management commitment, technology investment, human employee engagement, supply chain sustainability, and sustainable performance. Results reveal complete mediation patterns where supply chain sustainability fully mediates relationships between organizational antecedents and sustainable performance.

Page 29 of 39 | Total Record : 383

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