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The Influence of Three Forms of Collaboration on the Performance of Food SMEs in Indonesia Hadi, Suryadi; Dwiwijaya, Kadek Agus; Murad, Mohammad Ali; Anjany, Ni Luh Verha; Hendra, Syaiful; Ngemba, Hajra Rasmita
Jurnal Aplikasi Manajemen Vol. 23 No. 3 (2025)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

The increasing complexity of supply chains, driven by globalization and technological advancements, necessitates effective logistics collaboration, particularly for food SMEs in Indonesia. Despite its recognized benefits, many SMEs face fragmented supply chains, inefficient distribution networks, and resource limitations that hinder competitiveness. Addressing these challenges is crucial for improving supply chain resilience and efficiency. This research examines the influence of horizontal, vertical, and lateral logistics collaboration on the supply chain performance of food SMEs in Indonesia. Using a quantitative approach and Partial Least Squares Structural Equation Modeling (PLS-SEM), the study analyzes data from food SMEs in Palu, Indonesia. A purposive sampling technique was employed, targeting SME owners and managers involved in logistics collaboration, resulting in a final sample size of 92 respondents. The findings reveal that horizontal logistics collaboration has the most significant impact, enhancing efficiency and effectiveness through partnerships among SMEs and distributors. Vertical collaboration also demonstrates a strong influence, improving integration and synchronization between producers and distributors. However, lateral logistics collaboration does not exhibit a statistically significant effect, likely due to coordination challenges and a lack of resources. This research contributes to logistics literature by empirically validating the varying impacts of collaboration types on SMEs' supply chains in an emerging market. The findings highlight the superior role of horizontal partnerships and suggest fostering collaboration through digital platforms, training, and the adoption of technology. Future research should explore government policies, digitalization, and sustainability practices to develop comprehensive strategies for optimizing logistics collaboration among SMEs.
PEMETAAN DAN PELATIHAN SISTEM INFORMASI POTENSI DESA (SID) WATUMAETA Dwiwijaya, Kadek Agus; Abdullah, Muhammad Ikbal; Muslimin, Muslimin; Kasim, Muhammad Yunus; Zahara, Zakiyah
MAJU : Indonesian Journal of Community Empowerment Vol. 1 No. 4 (2024): MAJU : Indonesian Journal of Community Empowerment, JULI 2024
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/75mbqs72

Abstract

Desa Watumaeta yang kaya akan sumber daya alam dan budaya menghadapi tantangan dalam pengelolaannya. Untuk mengatasi ini, program pengabdian masyarakat ini bertujuan memetakan potensi desa dan melatih penggunaan Sistem Informasi Desa (SID). Program ini bertujuan memetakan sumber daya desa, mengembangkan dan menerapkan SID yang dapat diakses oleh masyarakat dan pemerintah desa, melatih warga dan aparat desa dalam menggunakan SID, serta meningkatkan partisipasi masyarakat dalam pengelolaan potensi desa. Tahapan pelaksanaan meliputi survei awal, koordinasi dengan pemerintah desa, pengumpulan data, pemetaan digital, desain dan pengembangan SID, uji coba, pelatihan teknis, workshop, serta evaluasi dan monitoring penggunaan SID. Hasil yang diharapkan adalah peta potensi desa yang komprehensif dan dapat diakses oleh masyarakat, serta peningkatan kompetensi aparat desa dan warga dalam mengelola SID, yang mendorong partisipasi masyarakat dalam pengembangan desa berbasis data.
THE RELATIONSHIP BETWEEN SUSTAINABLE SUPPLY CHAIN AND BUSINESS PERFORMANCE: A META-ANALYSIS STUDY Gunawan, Muhammad; Hadi, Suryadi; Kaseng, Saharuddin; Dwiwijaya, Kadek Agus
Jurnal Ekonomi dan Bisnis Airlangga Vol. 35 No. 2 (2025): JURNAL EKONOMI DAN BISNIS AIRLANGGA
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jeba.V35I22025.267-291

Abstract

Introduction: This study conducted a comprehensive meta-analysis to investigate the relationship between Sustainable Supply Chain Management (SSCM) and business performance. With increasing global environmental concerns, businesses are increasingly required to integrate sustainable practices into their supply chains. This study aims to address the inconsistencies of previous studies on SSCM and business performance. Methods: This study uses the Random Effect Size meta-analysis method through the Jamovi application to analyze empirical data from accredited journals. This study also identifies the publication bias of Meta-analysis. Results: The findings show that SSCM has a positive correlation with financial, environmental, and social performance. Overall, SSCM is associated with business performance. The study also identified moderator variables such as year of publication, country classification by income, country, industry type, and company size. The relationship is stronger in Developed countries, electronics, shipping, and MSME sectors. Conclusion and suggestion: SSCM has shown to have a significant positive correlation to financial, environmental, and social performance, with moderate social correlation. Future research needs to expand the sample, especially the social dimension, as published or unpublished studies may have different results.
Coffee Bean Inventory Analysis Using EOQ Method at Lujo Coffee Arilla Syah, Ardhi; Asngadi, Asngadi; Kaseng, Saharuddin; Dwiwijaya, Kadek Agus
Jurnal Akuntansi, Keuangan, dan Manajemen Vol. 7 No. 1 (2025): Desember
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jakman.v7i1.4937

Abstract

Purpose: This study aims to analyze the management of coffee bean inventory at Lujo Kopi through the application of the Economic Order Quantity (EOQ) method, with the primary objective of optimizing inventory costs and improving efficiency in small-scale business operations. Methodology: A descriptive quantitative approach was employed by collecting one year of historical data covering raw material demand, ordering costs, and holding costs. The EOQ formula was then applied to calculate the optimal order quantity, order frequency, safety stock, reorder point, and total inventory cost. Results: The analysis indicated that the EOQ method provides a more efficient outcome compared to the conventional system previously applied. The optimal order quantity was found to be 86 kg with an order frequency of seven times per year. Total inventory costs decreased significantly from Rp. 7,320,000 to Rp. 3,740,232, highlighting substantial efficiency improvements. Conclusion: The findings confirm that the EOQ method offers a systematic and effective approach to managing raw material inventory, ensuring cost efficiency and more reliable supply management for UMKM. Limitations: The scope of this study is limited to one type of raw material and one case of UMKM, thereby reducing the generalizability of the results to other industries or business types. Contribution: This research provides valuable practical insights for UMKM, demonstrating the importance of data-driven decision-making in inventory management and encouraging wider adoption of EOQ-based approaches to achieve sustainable efficiency.
Maintenance of Meat Grinding Machines at CV. Solo Indah in Palu City Kaharuddin, Musfara; Asngadi, Asngadi; Miru, Sulaeman; Dwiwijaya, Kadek Agus
Jurnal Akuntansi, Keuangan, dan Manajemen Vol. 7 No. 1 (2025): Desember
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jakman.v7i1.5029

Abstract

Purpose: This study analyzes the maintenance practices of meat grinding machines at CV Solo Indah in Palu City, focusing on preventive and corrective strategies, and provides recommendations to improve efficiency and reduce breakdowns. Methodology/Approach: Conducted over three months using a descriptive quantitative approach, the study employed direct observation, structured interviews, and documentation. Machine components were evaluated using fishbone diagrams, cost analysis, and efficiency calculations with the formula TC = (F × RI) / (RO × P). Tools included maintenance records, interview guides, and Microsoft Excel. Results/Findings: All major components experienced at least one failure in 2024. The gearbox, machine frame, and feeder had the highest repair costs. The total maintenance cost was Rp13,674,500, with preventive maintenance accounting for 53.68% and corrective for 46.32%. This indicates a balanced and efficient maintenance system categorized as “very efficient” under industry benchmarks. Conclusions: CV Solo Indah implements both preventive and corrective maintenance effectively, though corrective costs remain relatively high. Prioritizing preventive actions for costly components like the gearbox can reduce overall expenses. Fishbone analysis identified root causes in manpower, machine, method, material, environment, and measurement aspects. Limitations: The study focuses on one company and a short 3-month period, limiting generalization to broader industry trends. Contribution: This research enriches industrial engineering and operations management literature, especially for SME-scale meat processing, by providing practical insights to enhance maintenance systems, lower costs, and increase productivity.