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Supplier Selection for Small and Medium Enterprises: An Integrated DEMATEL- ANP Approach for Decision Making Dutho Suh Utomo; Ridzky Zul Asdi; La Ode Ahmad Safar Tosungku
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1783

Abstract

ABC Bakery, a small and medium enterprise (SME), relies heavily on high-quality raw materials to meet the growing demand of its local market. Given the importance of raw material quality in product outcomes, selecting the right supplier becomes a critical task. This research applies the DEMATEL and ANP methods to identify the most suitable supplier for ABC Bakery. Through DEMATEL, the relationships between various supplier selection criteria, including Price, Quality, Delivery, Flexibility, and Responsiveness, are analysed to understand how these factors interrelate. The ANP method is then used to perform pairwise comparisons of both the criteria and the suppliers. The results reveal that Price and Quality are the most influential factors in the supplier selection process, with Price having the greatest weight, followed by Quality. On the other hand, Delivery, Flexibility, and Responsiveness have relatively lower weights, indicating they play a less critical role than Price and Quality. Based on the ANP analysis, Supplier 1 emerges as the preferred supplier, with the highest weight of 0.44, followed by Supplier 2 (0.34) and Supplier 3 (0.22). This study demonstrates that using DEMATEL and ANP enables a more informed, structured supplier selection process, helping ABC Bakery make better procurement decisions aligned with its operational and quality goals.
Identification of Risks of Delays in the Construction of Jalan Animal Hospital Mochamad Gaharu Dida Devedo; Ardhan Ismail; Ridzky Zul Asdi; Chalsi Mala Sari; Kartika Tristanto; Muhammad Ibadurrahman Arrasyid Supriyanto
JURNAL MANAJEMEN RISIKO Vol. 6 No. 2 (2025): December
Publisher : Pasca Sarjana UKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/mr.v6i2.7350

Abstract

Timely completion of hospital construction projects is crucial to support public health services, but delays are a common problem that has an impact on increased costs and delayed social benefits. This study aims to identify the risk factors for causing delays and analyze the level of significance in the case study of the construction of the Jalan Kehewanan Hospital in Tenggarong. This study uses a qualitative approach with primary data collected through semi-structured interviews with the implementing contractor. Data analysis is carried out by mapping identified risks into risk matrices based on likelihood and impact. The results of the study identified four main risk factors, namely (1) Design Changes, (2) High Rainfall, (3) Restrictions on Working Hours by Residents, and (4) Equipment Damage. The risk assessment showed that Design Change (value 15) and High Rainfall (value 12) were the two factors with the most significant High risk level, while the other two factors were at Medium levels. These findings imply that project management should prioritize mitigation strategies on aspects of internal design management and anticipation of external weather factors to ensure the smooth running of the project
Selection of The Best Soybean Supplier for Tempe Balap MSME using The Analytical Hierarchy Process (AHP) Method Sucy Wahcyuni A; Dutho Suh Utomo; Ridzky Zul Asdi
Jurnal Teknik Industri (JATRI) Vol. 4 No. 2 (2026): Jurnal Teknik Industri (JATRI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jatri424615

Abstract

Tempe Balap MSME is a tempe production business that is highly dependent on the availability of soybean raw materials. Frequent problems include late deliveries and uncertainty about the availability of soybean stocks from suppliers, which can disrupt the smooth production process. Furthermore, supplier selection has been based on experience without using a systematic method. Therefore, a decision-making method is needed to determine the best supplier. This study aims to determine the best soybean supplier for Tempe Balap MSME using the AHP method. The criteria used in this study include price, quality, delivery, supplier capability, service, and flexibility with several supporting sub-criteria. Data collection was conducted through interviews and questionnaires with MSME owners. Based on the results of the AHP calculation, it was found that the delivery criterion had the highest weight of 0.394, followed by supplier capability at 0.267, quality at 0.140, price at 0.092, service at 0.064, and flexibility at 0.042. The overall alternative weight calculation results show that supplier I has the highest value of 0.390, followed by supplier U at 0.294 and supplier C at 0.214. Thus, supplier I is the best choice as a soybean supplier for Tempe Balap MSMEs because it is considered the most capable of meeting needs in terms of price, quality, delivery, ability to maintain stock availability, service, and flexibility in placing orders.
Analysis of Quality Control and Product Failure Risks in Garment Manufacturing Using Statistical Quality Control (SQC) and Failure Mode and Effect Analysis (FMEA) Case Study: CV Muharram Garment Indonesia Aulia Az-Zahra; Dutho Suh Utomo; Ridzky Zul Asdi
Jurnal Teknik Industri (JATRI) Vol. 4 No. 2 (2026): Jurnal Teknik Industri (JATRI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jatri424894

Abstract

Quality control is an effort undertaken by a company to maintain product quality and minimize defective products during the production process. In the production process of printed T-shirts at CV Muharram Garment Indonesia, several defects were still identified, including faded prints, misaligned prints, and inappropriate colors. These defects reduce product quality and increase material waste during production. This study aims to analyze quality control, identify failure risks, and propose improvement recommendations using Statistical Quality Control (SQC), Failure Mode and Effect Analysis (FMEA), and the 5W+1H method. The SQC method was applied using check sheets, histograms, p-charts, and fishbone diagrams to analyze the types of defects, the condition of quality control, and the causes of product defects. The results showed that out of 1,380 produced units, 107 units were defective, consisting of 43 faded-print defects, 36 misaligned-print defects, and 28 inappropriate-color defects. The p-chart results indicated that there were still points outside the control limits for faded-print and misaligned-print defects, suggesting that the production process was not yet fully under statistical control. The FMEA method was used to determine risk priorities based on the Risk Priority Number (RPN). The analysis showed that the highest RPN value was found for faded-print defects at 240, followed by inappropriate-color defects at 200 and misaligned-print defects at 160. Improvement recommendations were developed using the 5W+1H method through the establishment of work standards, routine inspection of production equipment, and improved operator accuracy. These recommendations are expected to reduce defective products and improve the quality of printed T-shirt production at CV Muharram Garment Indonesia