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Employee Performance Assessment using Analytical Network Process and Rating Scale Riska Septifani; Panji Deoranto; Tiyas Widya Armanda
Jurnal Teknik Industri Vol. 21 No. 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.603 KB) | DOI: 10.22219/JTIUMM.Vol21.No1.70-79

Abstract

Employee performance assessment is an essential aspect of a company. This study aims to assess employee performance based on Analytical Network Process (ANP)  and rating scale. ANP was employed to determine the importance of the criteria. Meanwhile,  the rating scale was used to analyze the results of the employee performance assessment. The results of the study showed the weights of the criteria. The highest to lowest weights in sequence included the skills to carry out tasks, job performance, ability to cooperate, employment relationship, and personality. Based on the assessment of fifty-three employees of HRD and Corporate Secretary and General Counsel Department, one employee showed outstanding performance, four employees exemplified high performance, forty-five employees met the standard performance, and three employees had low performance.
WORKERS’ MENTAL WORKLOAD IN INDONESIAN SMALL FOOD-PRODUCING BUSINESS: PRELIMINARY FINDINGS AT A CORN CHIPS BUSINESS Rizky Luthfian Ramadhan Silalahi; Anis Lilian Sari; Putri Intan Sriwahyuni; Dhita Morita Ikasari; Riska Septifani; Ardaneswari Dyah Pitaloka Citraresmi; Panji Deoranto
J@ti Undip: Jurnal Teknik Industri Vol 17, No 2 (2022): Mei 2022
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.192 KB) | DOI: 10.14710/jati.17.2.82-91

Abstract

This research investigated conditions of mental workload among workers in Indonesian small foodproducing business, and how work and workers characteristics might influence the workers’ mental workload. A corn chips business located in an industrial central of corn chips in Malang municipality, Indonesia was the research object, in which its seven workers were involved as participants. NASA-TLX measurement involving six mental workload subscales was deployed to observe the current state of workers mental workload, along with determination of mean WWL value as representation of mental workload level. Measured NASA-TLX subscales varied among tasks and subscales, with indications of exposures of mental workload to the workers. This was indicated by high ratings of Mental Demand, Temporal Demand, Effort, and Frustration subscales which reached 70, 80, 90, and 70, respectively. Mean WWL values were in the range of 46.00 to 70.67, with the highest value observed was on Task 2 with 70.67 and Task 5 has the lowest value of 46.00. It is suggested that tasks and workers characteristics could have different influence on the observed mental workload subscales ratings and WWL. This research provides base of understanding and findings on states of workers’ mental workload in Indonesian small food-producing business.
Application of objective matrix to improve performance green supply chain management Riska Septifani; Ardaneswari Dyah Pitaloka Citraresmi; Galuh Melisa Emaradina
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 5, No 2 (2022)
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.2022.005.02.1

Abstract

The eucalyptus oil factory (PMKP) Sukun Ponorogo is an industry with complex supply chain activities, starting from the raw material’s procurement, production processes, distribution, and reverse logistics. Some of these activities may result in environmental problems. Therefore, measurement of its supply chain management (SCM) performance related to environmental conditions is critical. The green supply chain management (GSCM) concept can help the company to assess the supply chain's performance conditions that could harm the environment. This study aimed to assess the current SCM and measure its performance, as well as to evaluate the potential implementation on GSCM in the PMKP Sukun Ponorogo.  The analytical network process (ANP) was used in this study, consisting of 36 key performance indicators (KPI) from five categories of plan, source, deliver, make, and return. The study results show that all KPIs from the responsiveness dimension in the deliver category have the lowest weight, thus require priority for improvement. The results of the scoring system using the objective matrix (OMAX) method indicated two KPIs were in the red category (or need improvement), including on-time delivery of raw materials to production site and the rejection rate of raw materials. This study suggested to improve the estimated delivery time for avoiding any delays during the production process. This improvement may support the company to continuously offer on-time production process and product’s distribution.
Waste analysis of coated peanut production using fuzzy analytical hierarchy process (Fuzzy AHP) Erika Ayu Yuanita; Panji Deoranto; Arif Hidayat; Riska Septifani; Wendra Gandhatyasri Rohmah
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

Production effectiveness is an essential aspect of industrial activities to obtain maximum profit with minimum expenditure. One of the companies currently focused on achieving high effectiveness in its production activities is PT XYZ. The purpose of the study was to determine the priority of waste in the coated peanut processing company using the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) method. The Fuzzy AHP method combines AHP with a fuzzy system to cover the weaknesses of AHP, which has more personal properties. The Fuzzy AHP method helps in identifying the level of waste in PT XYZ, which is grouped into seven, namely defects (S1), waiting (S2), unnecessary inventory (S3), inappropriate processing (S4), unnecessary motion (S5), transportation (S6), and overproduction (S7). The results showed that the order of wastage criteria starting from the highest to the lowest are S4 with a weight vector value of 1,000; S5 with a weight vector value of 0,985; S1 with a weight vector value of 0,932; S2 with a weight vector value 0,702; S6 with weight vector value 0,678; S3 with a weight vector value 0,144; S7 with weight vector value 0,071. Based on this, it can be seen that the criteria for inappropriate processing have the highest priority as waste in production activities at PT XYZ. The results of the Fuzzy AHP method can be used as a basis for weighting the value stream analysis tools.
ANALYSIS OF TOMATO DATES BUSINESS DEVELOPMENT STRATEGIES USING BUSINESS MODEL CANVAS APPROACH AND SWOT-ANP Talitha Dea Azzaria; Wendra Gandhatyasri Rohmah; Panji Deoranto; Riska Septifani; Dhita Morita Ikasari
Jurnal Teknologi Pertanian 6th International Conference on Green Agro-industry and Bioeconomy (ICGAB) July 2022 - Special Issue
Publisher : Fakultas Teknologi Pertanian Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.489 KB)

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play an important role in developing the national economy. CV Firman SK is one of the MSMEs engaged in agroindustry located in Malang regency. CV Firman SK faced a revenue decline problem because of the covid-19 pandemic. Tomato dates are one of the superior products that experienced the most significant decrease in revenue compared to other products, which is a 50% revenue decrease. This research aims to determine the priority order of business development strategy. The methods used in this study are the BMC approach and integration of SWOT-ANP. The BMC approach maps the business model of CV Firman SK. The business model will be the basis for establishing alternative strategies using SWOT analysis. SWOT methods are integrated with ANP methods to make accurate priorities of business development strategies. The result showed that the highest priority and most recommended alternative strategy is the SO1 strategy, with a score of 0.350. Elements of BMC that need to be improved based on business development alternative strategies are channels, key partnerships, and value propositions. CV Firman SK is advised to implement a proposed business development strategy based on the order of the most prioritized strategies.
DETERMINATION OF RISK MINIMIZATION STRATEGY FOR HERBAL DRINK PRODUCTION WITH GMP APPROACH USING SCORING AND AHP Ratining Indah Wardani; Imam Santoso; Riska Septifani
Jurnal Teknologi Pertanian 6th International Conference on Green Agro-industry and Bioeconomy (ICGAB) July 2022 - Special Issue
Publisher : Fakultas Teknologi Pertanian Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (268.902 KB)

Abstract

Herbal drinks such as herbs have become part of the culture in Indonesia. The herbal plants processed into herbal drinks include bilimbi fruit (Averrhoa bilimbi L.) and secang (Caesalpinia sappan L.). This study aims to determine the risk minimization strategy in producing herbal drinks in CV XYZ by analyzing 14 aspects of Good Manufacturing Practices (GMP) using a scoring form and the Analytical Hierarchy Process (AHP) method. The scope of GMP in this study orients to how to produce good processed food. Determination of risk minimization strategy using the Analytical Hierarchy Process (AHP) method. The assessment results in applying GMP in CV XYZ using scoring calculation gotten three aspects with the highest deviation, “the sufficient qualify category", i. e. the building aspect (78.39%), storing (78.47%), and controlling (78.65%). These results as the base for arranging the risk minimization strategy with some criteria and alternatives using AHP calculation. The priority criteria for risk minimization strategies are the effectiveness level (0.608), the easiness of applying (0.313), and cost (0.079). Then, three priorities of alternative risk minimization for CV XYZ based on the global weight are the repairing of ventilation design (0.323) by adding ventilation in the production room, screens for dust filters that can be easily removed, final product storage separation (0.228) by placing materials or products that have a strong odor and have the potential to affect the final product in a separate room, making SOPs for the production process (0.209).
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).
ANALISIS KINERJA EFISIENSI KELEMBAGAAN RANTAI PASOK KLASTER UKM KERIPIK KENTANG MENGGUNAKAN PENDEKATAN DATA ENVELOPMENT ANALYSIS Siti Asmaul Mustaniroh; Riska Septifani; Sri Wahyu Pangesti
Jurnal Teknologi Industri Pertanian Vol. 33 No. 1 (2023): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

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Abstract

Cluster of potato chips is the one of SMEs groups which growing up in Batu City. The existing conditions in 2020-2021 caused some problem for the clusters it is a decreasing in demand, marketing, and business performance due to impact from pandemic which causes an imbalance in the number of sales with the production produced. In the first trimester of 2022, demand product of potato chips has increased so the efficient performance for production process is needed to recovery. The efforts to restore a business performance can be done by increasing efficiency in the supply chain institutional system. The purpose of research is analyze performance value, find out input sub-variables who most influence, and propose improvement strategies in clusters of potato chips. This research used Data Envelopment Analysis CCR-I Dual models with input sub-variables consist of cash to cash cycle time, lead time, flexibility, and cost. Sub-variable output consist of percentage compliance with quality standards, order fulfillment, delivery performance,and revenue. This analysis was carried out on SMEs to retailers with Decision Making Unit (DMU) the result showed that DMU 2, DMU 3, DMU 5, DMU 6, and DMU 7 were in efficient condition meanwhile 4 DMUs are inefficient condition. Input sub-variable can impact performance efficiency is cost of supply chain. To increase performance value, DMU in clusters of potato chips must be minimizing input variables, improving of production planning, sales forecasting, and strategy innovation in marketing to increase sales and product competitiveness. Keywords: data envelopment analysis, efficiency; supply chain performanc, potato chips cluster
Analysis of supply chain institutional efficiency performance in potato chips SMEs clusters after Covid-19 pandemic Siti Asmaul Mustaniroh; Sri Wahyu Pangesti; Riska Septifani
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.2023.006.03.2

Abstract

The pandemic conditions in 2020-2021 resulted in problems for the potato chip micro, small, and medium-enterprise (SMEs) cluster, including an imbalance in sales numbers with the resulting production due to a drastic decline in demand, marketing, and business performance. The first trimester of 2022 shows an increased demand for potato chips. Therefore, efficient performance is needed to support production recovery and business performance by increasing supply chain institutional efficiency. This research aimed to analyze the efficiency performance value and the sub-variables input with the most influence on supplier efficiency performance. This research used the Data Envelopment Analysis (DEA) model CCR-I Dual with input sub-variables (i.e., cash-to-cash-cycle-time, lead time, and flexibility) and output sub-variables (i.e., percentage of conformance quality standards, order fulfilment, and delivery performance). The analysis was carried out on the flow of suppliers to potato chip MSMEs. The results show that 8 decision-making units (DMUs) were inefficient (55.56% and 33.33%), and 1 DMU was in efficient condition (100% green), namely is DMU 6. The results also show that the input sub-variable with the most influence on supplier efficiency performance was the flexibility of sending raw materials followed by cash-to-cash-cycle-time.
PENDUGAAN UMUR SIMPAN KUKIS KECAMBAH KEDELAI TERELISITASI DENGAN METODE ACCELERATED SHELF LIFE TESTING MODEL ARRHENIUS Ardyanti, Dwi Kusuma; Yuwono, Sudarminto Setyo; Septifani, Riska
Jurnal Pangan dan Agroindustri Vol. 12 No. 3: July 2024
Publisher : Department of Food Science and Biotechnology, Faculty of Agriculture Technology, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jpa.2024.012.03.5

Abstract

Kukis merupakan jenis biskuit dengan bahan baku berupa tepung dan lemak. Lemak dalam kukis dapat mengalami oksidasi yang membuat mutu produk kukis menurun. Penurunan mutu produk kukis dapat mempengaruhi umur simpan produk, sehingga penelitian ini bertujuan untuk melakukan pendugaan umur simpan pada kukis kecambah kedelai terelisitasi. Pada pendugaan umur simpan ini digunakan metode ASLT dengan model Arrhenius. Produk kukis akan disimpan pada suhu 35oC, 45oC dan 55oC, selanjutnya akan dilakukan pengujian kadar thiobarbituric acid (TBA) pada kukis sebagai parameter kritis selama penyimpanan setiap satu minggu sekali. Hasil uji menunjukkan bahwa produk kukis kecambah kedelai memiliki kadar awal TBA sebesar 1.05 mg malonaldehid/kg dan kadar akhir TBA 2.55 mg malonaldehid/kg sampel. Dari data kadar TBA selama penyimpanan dibuat plot Arrhenius dan didapatkan persamaan y = -4670.1x + 10.318 dan energi aktivasi 38827.35 J/mol.K sehingga diperoleh umur simpan kukis kecambah kedelai terelisitasi pada suhu 25oC adalah 10.60 bulan.