https://ejournal.unib.ac.id/jsds/issue/feed 2024-04-04T06:11:15+00:00 Ramya Rachmawati jsds_statistika@unib.ac.id Open Journal Systems <p>Established in 2021, Journal of Statistics and Data Science (JSDS) publishes scientific papers in the fields of statistics, data science, and its applications. Published papers should be research-based papers on the following topics: experimental design and analysis, survey methods and analysis, operations research, data mining, machine learning, statistical modeling, computational statistics, time series, econometrics, statistical education, and other related topics. All papers are reviewed by peer reviewers consisting of experts and academics across universities and agencies. This journal publishes twice a year, which are March and October.</p> https://ejournal.unib.ac.id/jsds/article/view/32817 2024-04-04T06:11:15+00:00 CHYNTIA MEININDA ANJANNI chyntiaanjanni@gmail.com

<p>Bengkulu Province is the third largest coffee producing province in Indonesia, which is mostly dominated by the Robusta coffee type. One of the businesses engaged in the coffee production process is the Komocha coffee home industry. However, the industry has profit constraints that are not yet optimal. One method that can be used in solving optimization problems is linear programming (simplex method). The purpose of this research is to optimize the profit of coffee production and determine the results of sensitivity analysis using linear programming with simplex method. Based on the calculation results, the profit per production is IDR 2,061,836 by producing 101 pcs of bitter melon seed variant coffee, 60 pcs of premium variant and 54 pcs of regular variant. The results of the sensitivity analysis of the Komocha coffee home industry are that it can produce coffee with a minimum raw material usage limit of 28 kg and a maximum of 32 kg. Limits for packaging costs are at least IDR 430,717.9. Then, for minimum labor costs of IDR 239,038.5 per person and for minimum machine working hours of 34 hours and minimum operational costs of IDR 2,482,139 per production.</p>

2024-04-19T00:00:00+00:00 Copyright (c) 2024 CHYNTIA MEININDA ANJANNI https://ejournal.unib.ac.id/jsds/article/view/30367 2024-02-23T09:28:33+00:00 Auliya Yudha Pratama aypratama15@gmail.com

<p>Poverty is an important problem facing the world. Various ways are done to eradicate poverty. In planning poverty alleviation, policy makers need detailed information down to the smallest area level that can be produced. Currently, the demand for estimation at the small area level is increasing, while the success of estimation using the indirect method in reducing the Relative Standard Error (RSE) is very dependent on data conditions and the selection of the right method. This study aims to compare the results of estimating the percentage of poor people using direct estimates with indirect estimates using the Small Area Estimation (SAE) technique such as Empirical Best Linear Unbiased Predictor (EBLUP) and Hierarchical Bayesian (HB) method using a case study of poverty data at the sub-district level of Bengkulu Province. The data used are from the Social and Economic Survey (Susenas) in March 2022 and the 2021 Village Potential Data Collection (Podes). There is one sub-district that was not sampled in the March 2022 Susenas. The average RSE value of the direct estimator is 47.014 and the average RSE of the EBLUP estimator is 39.40 and the HB estimator is 15.318. In addition, the SAE EBLUP and HB methods can reduce the mean and median values of RSE estimation results when compared with direct estimates. The RSE of the direct estimator is greater than the RSE of the indirect estimator.</p>

2024-03-30T00:00:00+00:00 Copyright (c) 2024 Auliya Yudha Pratama