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All Journal Agrointek
Wike Agustin Prima Dania
Teknologi Industri Pertanian, Universitas Brawijaya, Malang

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Pendekatan supply chain operations reference dan fuzzy quality function deployment untuk peningkatan kinerja rantai pasok minuman lidah buaya Nurimansyah Nurimansyah; Wike Agustin Prima Dania; Arif Hidayat
AGROINTEK Vol 18, No 3 (2024)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v18i3.21953

Abstract

Pontianak is Indonesia's largest Aloe vera producer, with several SMEs that process Aloe vera into food and beverage products. SME XYZ stands as one of the major SMEs in the city of Pontianak. The continuous emergence of competitors and complaints from retailers unsatisfied with the provided services have compelled SME XYZ to identify the root causes of these issues. Subsequently, they must determine various solutions for performance improvement. However, in reality not all input variables can be numerated so that they must be developed into linguistic variables expressed in fuzzy because it is considered more appropriate to describe the input obtained form consumer desires so that it can be used as input to the system. This research aims to identify and map the desired retailer needs using the Supply Chain Operation Reference (SCOR) method. The goal is to provide a performance improvement strategy using the Quality Function Deployment (QFD) method to meet retailer desires and requirements.  Data collection techniques involve conducting interviews and questionnaires with retailers and SME XYZ and conducting thorough literature studies. The research results reveal that retailers use 13 Key Performance Indicators (KPIs) to assess SME XYZ. The highest priorities for retailers regarding SME XYZ include consistent product quality, prompt handling of complaints, the ability to fulfill unexpected orders, and quality assurance certification. The top priority KPI for SME XYZ's improvement is the development of attractive product packaging. Within this context, SME XYZ provides seven technical responses to meet retailer needs. The most critical technical response, rated at 7.74, revolves around enhancing producer competence.
Model struktural kelembagaan rantai pasok pada klaster keripik kentang menggunakan interpretive structural modelling Nadya Prabaningtias; Siti Asmaul Mustaniroh; Wike Agustin Prima Dania
AGROINTEK Vol 18, No 4 (2024)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v18i4.22088

Abstract

Batu City is one of the potential centers of agroindustry SMEs based on local wisdom to become superior regional products contributing to the economy and community empowerment. Potato chips are one of Batu City's regional superior products that have been clustered into 2 Micro and Small scales based on indicators of turnover, production capacity, number of workers, length of operation, and halal certification. The contribution of the potato chip SME cluster is essential in evaluating the structural performance of supply chain institutions to increase the efficiency of integration of upstream and downstream actors. The research aims to develop a structural model of supply chain institutions in the Potato Chips SME Cluster. The research method uses Interpretive Structural Modeling (ISM), which is relevant to the complexity of the supply chain. The object of research involved three actors of the potato chip SME cluster, including raw material suppliers, micro and small cluster SMEs, and distributors. The results showed that the key structural elements in micro-cluster SMEs include low labor skills; diversity in raw material quality; implementation of labor training and development activities; labor training and development on GHP, GMP, and production SOPs; improvement of labor skills and SME productivity; and collaborative relationships between supply chain actors. Structural key elements in small cluster SMEs include low labor capability; implementation of labor training and development activities; provision of supply chain information systems; labor training and development on GHP, GMP, and production SOPs; improvement of product quality standards and periodic evaluation of the 3 supply chain flows; improvement of labor skills and SME productivity; and sustainable collaborative relationships between supply chain actors. Both SME clusters involved 3 supply chain actors as key elements of the involved institutions.