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PCC CEMENT DEMAND FORECASTING USING SINGLE EXPONENTIAL SMOOTHING METHOD AT PT SEMEN TONASA Atik Febriani; Muh Ikhwanul Ahkam Febriani; Gunawan Mohammad
Jurnal Disprotek Vol. 17 N0. 2 (2026)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v172.9972

Abstract

Employee productivity is a strategic factor in enhancing an organization's operational efficiency and competitiveness. However, human resource management in many companies remains suboptimal, particularly regarding the development of human capital quality that supports productivity. This study aims to analyze the impact of education, work experience, and job training as dimensions of human capital on the productivity of PT XYZ employees. Unlike previous studies that tended to examine human capital aspects in isolation or within specific organizational contexts, this research integrates these three dimensions into a single model to provide a more comprehensive understanding of the factors driving productivity within the study's scope. The selection of these three dimensions is grounded in Human Capital Theory, which views education as the foundation of knowledge, work experience as the accumulation of practical competence, and training as a mechanism for continuous competence development. A quantitative approach was employed, utilizing a survey of 150 respondents selected through purposive sampling. Data were collected via Likert-scale questionnaires and analyzed using multiple linear regression in SPSS. The results indicate that education (β = 0.241; p < 0.05), work experience (β = 0.356; p < 0.05), and job training (β = 0.418; p < 0.05) all have a positive and significant effect on work productivity. Collectively, the three variables exert a significant influence, with an Adjusted R-squared value of 0.682. Job training emerged as the factor making the largest contribution. These findings underscore the importance of integrated human capital development strategies in boosting organizational productivity and competitiveness.
SUPPLY CHAIN ANALYSIS, INVENTORY CONTROL, AND INFORMATION SYSTEM DESIGN FOR FRESH FRUIT RETAIL MSMEs Atik Febriani; Muhammad Rizki Pambudi; Rui Almer Guritno; Kuntoro Bayu Pringgondani; Muhammad Vicky Maulana
Jurnal Disprotek Vol. 17 N0. 2 (2026)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v172.9981

Abstract

This study aims to formulate inventory-control policies and a simple information-system design for a fresh-fruit retail micro, small, and medium enterprise by using supply-chain mapping and retail activities as the operational diagnostic basis. A case study was conducted at Krisbi Buah Purwokerto through observation, interviews, supply-chain and value-chain mapping, supplier-relationship analysis, safety-stock and reorder-point calculations, and an as-is/to-be information-system gap analysis. Four products were purposively selected to represent differences in sourcing origin, chain length, demand rate, and shelf life. The results show that apples have the longest supply chain through import and distributor routes, whereas mangoes have a shorter chain but higher seasonal dependence. Procurement, inventory recording, sales, and reporting remain fragmented, preventing demand information from consistently supporting purchasing decisions. Mango is the principal fast-moving product, with estimated demand of 28.6 kg/day. Using a 95% service-level target, a daily demand standard deviation of 5 kg, and a two-day lead time, the recommended safety stock is 12 kg and the reorder point is 70 kg. The proposed Google Sheets prototype comprises six connected modules covering suppliers, procurement, inventory, sales, dashboards, and monthly reports. The study contributes an integrated link between supply-chain characteristics, inventory policies, and low-cost information-system requirements for micro-retailers. The design remains conceptual and requires user testing and post-implementation performance evaluation.