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Procurement strategy for fresh vegetable produces to mitigate food waste in the retail sector Mairinda Lestari; Fauzan Romadlon; Isnaini Nurisusilawati
Sustinere: Journal of Environment and Sustainability Vol. 8 No. 3 (2024): pp. 288-417 (December 2024)
Publisher : Center for Science and Technology, IAIN Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/sustinere.jes.v8i3.384

Abstract

Food waste is critical issue in developing countries, including Indonesia, affecting both the retail and consumers. In the case of vegetables, food waste frequently arises due to their short shelf life, spoilage, and physical damage. Additionally, the instability of vegetable prices creates challenges for consumers in meeting their needs. In sufficiency in the vegetable supply chain exacerbate the problem leading to leftovers and waste. This research aims to explore the causes of vegetable food and propose effective procurement strategies to mitigate it. A quantitative research approach was employed, with data collected through structured interviews involving 127 vegetable traders. The analysis utilized ANOVA to examine the effect of traders’ demographic characteristics on factors contributing to food waste. The results showed that demographics factors, such as age, daily turnover, and market location, significantly influence procurement strategies. Key findings underscore the importance of proper packaging tailored to the specific type of vegetable and the need for supplier intervention, to ensure adequate packaging during delivery, thereby maintaining vegetable quality. Moreover, traders with higher turnover rates are advised to carefully manage their purchasing practices to minimize waste. These insights highlight the critical role of procurement strategies in reducing vegetable food waste and the need for targeted interventions across the supply chain.
Analisis Perbandingan Metode Peramalan Pada Produksi Air di PDAM XYZ Pasyah, Anggratha Khemal; Nurisusilawati, Isnaini; Romadlon, Fauzan
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 13 No 2 (2025)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v13i2.2306

Abstract

Good production planning can meet the demand and availability of raw materials, as well as proper production planning and scheduling, production control, inventory control, and evaluation. PDAM XYZ produces clean water for the Banyumas Regency area. Water demand at PDAM XYZ is starting to exceed the production capacity limit, so a capacity addition plan is needed to meet the customer's clean water demand. The addition of capacity can be calculated by calculating demand forecasting. Thus, this study aims to determine the best forecasting method for making water demand forecasting calculations at PDAM XYZ and the estimated amount of water demand at PDAM XYZ in the next five years. The forecasting methods used are least square and regression. The accuracy values compared are MAD, MSE, RMSE, MAPE, and Tracking signal. The results of the comparison state that the regression method is better with a MAD value of 129938.4, MSE of 28536740000, RMSE of 168928.2, and MAPE of 0.05. So, in planning the addition of production capacity, the regression method can be used to forecast calculations as a reference for determining the additional production capacity. The forecasting results using the regression method show a value of 4,352,051 m3. Based on these results, it is expected that PDAM XYZ will be able to map the amount of clean water demand so that customer water needs can be met.