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Reducing Regional Poverty Gaps Through Optimized Local Government Spending Ginanjar, Rah Adi Fahmi; Mahdani, Mahdani; Nuriman, Muhammad Alifian; Rangkuti, Zoraya Alfathin; Didu, Saharuddin; Chendrawan, Tony Santika
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 20 No 2 (2025): September 2025
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v20i2.15652

Abstract

This study aims to analyze the relationship between local government expenditure allocation and poverty reduction and map the time needed to fade the disparity between the dichotomy of regions. The methods used statistical approaches and mathematical models, both linear and non-linear, to project the time of inequality fading by observing all districts and cities in Banten Province during the period 2005-2024. The study also examines the differences in spending patterns between North and South Banten in the context of fiscal decentralization. Key results show that spending on these functions has a strong negative correlation with poverty rates, while predictive models show optimistic and pessimistic scenarios in the fading of inequality. This study concludes that optimizing local government spending can significantly accelerate the reduction of poverty gaps. The contribution of this research provides a theoretical and practical basis for more effective fiscal policies in supporting inclusive and sustainable development.
Independent Mixed Sampling Plans Potato Paste as The Main Raw Material for Biscuits at PT X Retnaningsih, Sri Mumpuni; Nuriman, Muhammad Alifian; Berliana, Rizka Widya
Performa: Media Ilmiah Teknik Industri Vol 24, No 1 (2025): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.24.1.86438

Abstract

PT X, a prominent entity in the snack food manufacturing sector, has identified significant quality control challenges in the production of its flagship biscuit product, which utilizes potato paste as a key ingredient. The primary quality attributes under assessment are the color and pH level of the potato paste. Historically, inconsistencies in these attributes have been observed, resulting in substandard dough quality. The existing inspection methodology, characterized by its subjective nature due to the immediacy of processing requirements, has heightened the risk of accepting raw materials that do not meet established standards. To address this issue and enhance the evaluation of current inspection processes, an independent mixed sampling plans method is proposed. This method entails an initial sampling based on variable criteria followed by a secondary sampling based on attribute criteria if the initial sample is rejected. Utilizing the Dodge-Romig Table with a Lot Tolerance Percent Defective (LTPD) of 12% and a consumer risk of 10%, the study determined an Acceptable Quality Level (AQL) of 1.01% and a producer risk of 4%. The proposed sampling plan necessitates 7 samples for variable criteria and 31 samples for attribute criteria, with an acceptance number of one defect. Implementation of this method, based on company data, resulted in a revenue probability of 0.6933, indicating that 69 out of every 100 inspected units of potato paste would conform to quality standards. This proposed method significantly enhances the objectivity and reliability of the inspection process, thereby augmenting overall product quality.