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Unit Production of Apple Processing at State Vocational School 2, Batu Endah Rahayu Lestari; Nur Hidayat; Wike Agustin Prima Dania
Journal of Innovation and Applied Technology Vol 1, No 1 (2015)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.622 KB) | DOI: 10.21776/ub.jiat.2015.001.01.2

Abstract

Currently, unit productions of apple processing that have been developed by State Vocational School 2 Batu majoring in Agricultural Product Technology are apple chips, apple juice, and apple sweet with brand “ESEMKA”. The purpose of this activity is to expedite learning process, especially in agricultural processing practice by introducing me-chanical dryer in unit productions of apple processing at this school and mechanical mixer multi function in apple porridge production at SME “Bagus Agriseta Mandiri” that become practical place for the students. From the result of perfor-mance test of mechanical dryer to produce apple sweets with the water content of 12% is 15 hours therefore processing is more efficient and hygiene, which was previously done with the sun drying process which takes up to 3 days. However the application of mechanical mixer multi function at SME apple porridge stirring time of 3.5 hours/pro-cess, where pre-viously manual methods takes 6 hours/ process, so the efficiency of the mixing process increased up to 90% and less fuel. The application processing machines increase performan-ce of production also has implications that the teaching and learning process at this vocational school over a smooth and increase students' knowledge and skills.Keywords: apple, mechanical mixer, mechanical dryer 
Increasing Productivity Of Traditional Health Drink Wike Agustin Prima Dania
Journal of Innovation and Applied Technology Vol 1, No 1 (2015)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (513.844 KB) | DOI: 10.21776/ub.jiat.2015.001.01.10

Abstract

ABSTRACTThe purposeofthis activityis to applymechanical machine such as washing machine for rhizome (empon-empon), gra-termachine, andhydraulicpress toimpro-ve theperformanceandefficiency of productionprocess oftraditional drinks (jamu). This activity has been done by “learning by doing” method emphasized to practical aspect rather than theoretical aspect. Therefore, there are several activi-ties such as:  (1) SurveytoSMEsinBatutraditionaldrinks, namelySMEs"Seger" and"BuRoes" and doing preliminary eva-luation(2) Designandmanufacture of mechanicalwashingmachines, machinegrater, andhydraulicpress (3) Training(4) implementing machineries in SMEs part-ner, then (5) monitoring and evaluation. Final result showed that the training mate-rial can be accepted by SMEs. The result of performance washing machine, it  obta-ined average input capacity is 5-7 kg/process/5 minutes with 95% efficiency. Grater machine performance is 5-7 kg/process/15 minutes. Moreover, the hydraulic press is the input capacity grated “empon-empon” average 3-5 kg/process/10 minutes. The benefits of this machine implemented are saving the time and power, increase production higienes, and efficiency.Keyword: grater machine, hydraulic press,rhizome washing machine,traditional drink (jamu)
An Integrated Collaboration Framework for Sustainable Sugar Supply Chains Wike Agustin Prima Dania; Ke Xing; Yousef Amer
International Journal of Supply Chain Management Vol 8, No 3 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Stakeholders in sugar supply chains face challenges to identify strengths and weaknesses, as well as opportunities and capabilities of all collaborating stakeholders. This paper proposes a conceptual model as a framework for sustainable sugar supply chains to achieve an effective collaboration system. This model identifies essential elements and how they are linked in the boundary of sustainability. An existing general collaboration model is selected as the basis to develop a new supply chain collaboration model based on the characteristics, the synergies, and the elements. The framework consisting of six elements: boundary and context; drivers (value proposition, assets, and supply chain capabilities); stakeholder requirements; collaboration system requirements; quality indicators; and a common goal. This conceptual model gives insight to the sugar stakeholders who join in collaboration regarding what are the specific drivers and elements that possible and essential to propose a sustainable collaboration, what their roles are, and how they are linked. The finding can be used as the basis for a collaboration quality assessment model.
Risk factor for sustainable supply chain management (SSCM): A systematic review Edria Anniar Nurfitriani; Wike Agustin Prima Dania; Arif Hidayat
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) 6th International Conference on Green Agro-industry and Bioeconomy (ICGAB) July 2022 - Special Issue
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

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Abstract

Supply chain sustainability is important to an organization's long-term operation. Based on the results, management must know that the organization can run the business for a long time. Several studies have carried out risk activities that can affect the supply chain. Differences in research results cause many risk factors to be considered sustainable supply chain management. Therefore, this study uses a systematic system to analyze the factors influencing sustainable supply chain management. The research was conducted using Elsevier, Emerald, Taylor & Francis, and Springer databases. The systematic review papers were selected from 2011-2021, and 30 articles were obtained. The research used a frequency and similarity analysis to classify and eliminate factors with the same concept. As a result, twenty-six factors are considered to affect the supply effect. Proven risk factors based on economic, social, environmental, technical, and institutional dimensions
Analisis anteseden inovasi hijau terhadap kinerja berkelanjutan pada UMKM berbasis pangan di Kediri Raya Izzati Ardhan Firdausyi; Endah Rahayu Lestari; Wike Agustin Prima Dania
AGROINTEK Vol 17, No 1 (2023)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v17i1.13610

Abstract

Nowadays, environmental problems are increasing. This is largely due to production activities carried out by large and small industries, one of which is MSMEs. The increasing number of SMEs that have sprung up also increases their impact on the environment. Increasing environmental problems encourage companies to be environmentally oriented and green innovation to be the right solution for these problems. The purpose of this study was to examine the antecedent variables of green innovation (technology capability and CSR/Corporate Social Responsibility) in MSMEs and the effect of implementing green innovation on sustainable performance. Then examine the effect of environmental dynamics in moderating the relationship between green innovation and sustainable performance. The conceptual model was verified using the Partial Least Square (PLS) method. Data were obtained from 100 food-based SMEs in Kediri Raya. The results showed that the antecedent variables (technology capability and CSR/Corporate Social Responsibility) had a significant positive effect on green innovation. Furthermore, green innovation has a significant positive effect on sustainable performance. Environmental dynamics have a significant negative effect on the relationship between green innovation and sustainable performance. The results of this study offer important implications for MSMEs to be more concerned and increase green innovation to achieve sustainable performance.
Supplier performance evaluation factors for agroindustrial supply chain: A systematic review Wike Agustin Prima Dania; Aldo Tafarel; Riska Septifani; Yousef Amer; Linh Doan
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 6, No 1 (2023)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2023.006.01.1

Abstract

Supplier performance is critical in maintaining the stability of the supply chain activities in the agroindustry. Their performance needs to be assessed using relevant factors to choose reliable and dependable suppliers. A significant amount of research has been done to examine essential factors in selecting reliable suppliers in supply chains from various perspectives. The divergence of research findings has led to many assessment factors that must be considered when choosing the supplier. Therefore, this study aimed to analyze factors affecting agroindustry supplier performance using a systematic review. The research from reliable databases such as Elsevier, Emerald, Proquest, and Taylor & Francis from 2010 to 2020 has been analyzed. Similarity and relevance analysis has been applied to form the factors and eliminate the redundant and irrelevant factors. As a result, fourteen suppliers’ performance factors to support an effective supply chain system are identified. These factors include customer care, economics, quality improvement, stakeholder coordination, production performance, organizational improvement, human resources, food safety, risk factors, company image, market, geography, corporate social responsibility (CSR), and environmental management system (EMS).
Evaluation of sustainable supply chain performance on apple chips using the integration of quality function deployment, fuzzy analytical network process, and data envelopment analysis Awal Ramadan; Wike Agustin Prima Dania; Siti Asmaul Mustaniroh
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 6, No 1 (2023)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2023.006.01.4

Abstract

Batu City is the largest apple producer in Indonesia, producing around 55,891 tons. One way to optimize supply chains is sustainable supply chain performance in the economic, social, and environmental fields. Problems in apple chip small- and medium-scale enterprises (SMEs) are the price of apples increases in the dry season, accumulation of apple peel waste, and poor employee work performance. This study aimed to analyze the level of importance variables in measuring the supply chain performance level and the strategies to improve the supply chain of apple chips SMEs in Batu City. The integration of quality function deployment (QFD) and Fuzzy analytical network process (FANP) was used to obtain the level of cooperation interest. Data envelopment analysis (DEA) was used to determine the efficiency of each stakeholder's interest. The results showed that the three highest important cooperative behavior factors were production costs (0.16), raw material costs (0.15), and raw material inventory (0.14). The efficiency level of partner cooperation and apple chip SMEs from 17 SMEs indicated that two partners were inefficient, with an efficiency score of 0.973 (D3) and 0.957 (D4). The improvement strategies proposed to apple chip SMEs were reducing production costs, revising agreements between suppliers and farmers, and implementing information technology.
Program evaluation and review technique – Data envelopment analysis in benchmarking sustainable supply chain management of the potato chips industry Billy Akhbar Nugraha; Arif Hidayat; Wike Agustin Prima Dania; Katsumori Hatanaka; Saville Ramadhona
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 6, No 3 (2023)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2023.006.03.3

Abstract

Supply chain benchmarking of agroindustry can be done by emphasizing the perspective of sustainability. This paper aimed to analyze the efficiency of Sustainable Supply Chain Management (SSCM) in Micro, Small, and Medium Enterprises (MSMEs) and provided a prospective benchmark with the potato chips industry as a study case. Program Evaluation and Review Technique (PERT) estimated future input and output values to obtain prospective benchmarks and be added to the DEA formula later. Analytical Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) methods were used to measure SSCM performance. The results showed that 17 of 20 Decision-Making Units (DMUs) were efficient (score 1). The other 3 DMUs were classified and got an efficiency score of 0.965, 0.955, and 0.995. In future estimates calculation, the efficiency score of one of the inefficient DMUs has changed to 1, while the other two got the scores of 0.996 and 0.980. The limitation of this research mainly comes from the scope of assessment, which is limited to the supply chain’s downstream sector and assesses only a limited number of MSMEs in a particular region. SSCM efficiency measurement variables were adjusted to be assessed and applied to MSMEs. PERT was also beneficial to gain future estimates of the assessment scope.
Development of Potato Chip Cluster Supply Chain Institutional Model with The Integration of ISM (Interpretive Structural Modeling) and ANP (Analytic Network Process) Prabaningtias, Nadya; Mustaniroh, Siti Asmaul; Dania, Wike Agustin Prima
agriTECH Vol 44, No 4 (2024)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.85692

Abstract

Increasing the productivity of potato chip in Micro, Small, and Medium Enterprises (MSMEs) through the institutional model is significantly strengthening the economy of Batu City, especially as a tourist destination city. The institutional model ensures the smooth operation of supply chain activities due to the interactions between the actors, facilitating coordination, information sharing, and integration from upstream to downstream. This model can be used to improve the performance. To improve the performance, supply chain of potato chip MSMEs cluster faces several challenges including a limited supply of raw materials and finished products, price fluctuations, non-optimal drying processes, and inconsistent quality. Therefore, the study aimed to conduct a holistic evaluation and improvement method on the interconnected constraints to enhance supply chain’s performance. The integration of Interpretive Structural Modelling (ISM) and Analytic Network Process (ANP) methods was applied to observe interactions between key elements in development of supply chain institutional potentials and to prioritize development strategies. The results showed that the key elements that influenced development of the organizations related to labor capability, diversity of raw material quality, the potential for collaboration relationships, minimizing the risk of drying during the rainy season, and participation of various actors. Based on the largest WANP weight value (0.230), the primary strategy for supply chain development in the SME cluster was the implementation of digital-based marketing. Furthermore, improving the institutional performance model of potato chip MSMEs cluster supply chain included the participation of internal and external quality assurance organizations in the product quality audit process. Ensuring product quality consistency through these audits would support digital-based marketing and help mitigate issues related to product quality and supply consistency.
EXPLORING THE INFLUENCE FACTORS IN CONSUMER PREFERENCES TOWARDS CAFE SELECTION: AN EMPIRICAL STUDY Maritsha, Kamila; Kusuma, Lalu Tri Wijaya Nata; Dania, Wike Agustin Prima; Andriani, Debrina Puspita
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 1 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2025.013.01.4

Abstract

This study aims to identify the key factors influencing consumer purchasing decisions in the café industry in Malang City, Indonesia. With the rapid growth of café businesses in the region, understanding the preferences and behavioral patterns of café consumers has become crucial for developing effective marketing strategies. This research combines K-Means clustering and Structural Equation Modeling (SEM) to explore the influence of four main variables: marketing mix, café atmosphere, service quality, and electronic word of mouth (E-WoM). The study began by segmenting consumers based on their monthly income and café expenditure, resulting in four distinct clusters: low income–low expenditure, high income–high expenditure, high income–low expenditure, and moderate income–moderate expenditure. Validity and reliability tests confirmed the consistency and accuracy of the measurement instruments, with all indicators passing Confirmatory Factor Analysis (CFA) criteria, and most meeting the threshold for convergent validity through Exploratory Factor Analysis (EFA). The SEM analysis revealed that each segment responded differently to the influencing factors: service quality was significant for Cluster 1, while Cluster 2 was influenced by marketing mix, service quality, and E-WoM. Cluster 3 showed no significant influence from any variables, and Cluster 4 was mainly influenced by E-WoM. These findings suggest the need for segment-specific marketing and service strategies, such as enhancing interpersonal service for lower-income consumers and improving digital engagement for mid-range market segments.