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Inayah, Ika
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Social Sciences Other

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Pengaruh Pengeluaran Pemerintah di Sektor Pertanian terhadap Pertumbuhan Ekonomi di Indonesia Inayah, Ika
Jurnal Penelitian Ekonomi Manajemen dan Bisnis Vol. 2 No. 4 (2023): November : Jurnal Penelitian Ekonomi Manajemen dan Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jekombis.v2i4.2543

Abstract

As a country with the potential and rich natural resources, agricultural sector in a broad sense is an important sector in driving economic growth in Indonesia. Gross domestic product (GDP) as an indicator of economic growth shows an increasing trend every year in 2011-2019. GDP of agricultural sector has also increased every year. However, government spending in this sector tends to decrease. Therefore, the purpose of this study is to analyze the effect of government spending on agriculture sector on economic growth in Indonesia. This study uses multiple regression analysis with the Ordinary Least Square (OLS) approach using time series data for 2011-2019. Dependent variable is GDP at constant prices and independent variables are government expenditure in the food crops, horticulture, plantation, animal husbandry, agricultural and hunting services, forestry, and fisheries subsectors. The results show that government spending on the food crops, estate crops and fisheries subsectors had a significant and negative effect on Indonesia's GDP at a real level of 5%. The government expenditure in the agriculture and hunting services subsector as well as forestry and logging has a significant and positive effect on Indonesia's GDP.
Improved Chi Square Automatic Interaction Detection on Students Discontinuation to Secondary School Al Anshory, Fadhil; Siswanto, Siswanto; Thamrin, Sri Astuti; Inayah, Ika
Jurnal Varian Vol. 7 No. 1 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v7i1.2627

Abstract

Improved Chi Square Automatic Interaction Detection (CHAID) with bias correction is the development of the CHAID method by relying on Tschuprow's T test calculations with bias correction in the process of forming a classification tree. This study aims to obtain a classification of factors which influence students for not continuing their education from junior high school or equivalent to high school or equivalent. The results obtained in the classification tree produce nine classifications. Based on the results of the classification tree, the classification of students who do not continue their education to high school or equivalent is: students with disabilities who do not have access to Information and Communication Technology (ICTs) (0.89); students who work without disability but do not have access to ICTs (0.73); and students who do not work without disability but do not have access to in ICTs (0.60). Based on the classification obtained the factors which influence students for not continuing their education to high school or equivalent are access to ICTs, employment status, and persons with disabilities. The classification accuracy of the results uses the Improved-CHAID method with bias correction with a proportion of 80% training data and 20% testing data, namely 72.3033% on training data and an increase of 73.3300% on testing data.
Co-Authors Al Anshory, Fadhil S Siswanto Sri Astuti Thamrin