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PENGARUH PERTUMBUHAN EKONOMI, BELANJA BANTUAN SOSIAL, DAN BELANJA PENDIDIKAN TERHADAP KEMISKINAN Rossa, Amelya; Fajri Ananda, Candra
Journal of Development Economic and Social Studies Vol. 3 No. 3 (2024)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jdess.2024.03.3.11

Abstract

High economic growth and increased spending on social assistance and education spending still causes relatively high levels of poverty in the Districts/Cities of East Java Province in 2013-2022. Therefore, the aim of this research is to analyze and determine the influence of economic growth, social assistance spending, and education spending on poverty in the Districts/Cities of East Java Province. The type of data used is panel data from 38 districts/cities for ten years using the panel data regression analysis method. The research results show that social assistance spending has a negative and significant effect on poverty, education spending has a negative and significant effect on poverty, and economic growth has a positive and significant effect on poverty. This is because the capital-intensive sector is growing more rapidly than the labor-intensive sector. So, the government needs to make efforts to increase employment-based sectors and be able to absorb more workers, especially in capital-intensive sectors which make a greater contribution to economic growth in the districts/cities of East Java Province.
DEMAND FORECASTING: A CASE STUDY OF THE INDONESIAN TOBACCO INDUSTRY Bagaskara, Hilman; Fajri ananda, Candra
Contemporary Studies in Economic, Finance and Banking Vol. 3 No. 2 (2024)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/csefb.2024.03.2.16

Abstract

The tobacco industry, as one of the major industries in Indonesia, has experienced consistent growth. Despite being burdened by stringent regulations; tobacco products still maintain high demand among consumers. Forecasting serves as a crucial tool for every industry, aiding in decision-making and planning. ARIMA is one of the reliable forecasting methods, yet it remains open for further development. This study aims to compare ARIMA and SARIMAX, which incorporates seasonal aspects and external variables, namely weighted tariffs and affordability, to determine which of these forecasting models is more accurate. Through the execution of the equations, this research has demonstrated that SARIMAX outperforms ARIMA with a lower Mean Absolute Percentage Error (MAPE) score of 7.63 compared to ARIMA's more accurate MAPE score of 10.8. These findings indicate that SARIMAX is more accurate, as evidenced by its lower MAPE score of 7.63.
Analisis Pengaruh Pendapatan dan Pendidikan terhadap Kejadian Balita Stunting di Indonesia Fajri Ananda, Candra; Imanina Eka Dalilah
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i1.20392

Abstract

Stunting merupakan masalah pembangunan sosial dan ekonomi yang penting, terutama di berbagai berkembang seperti Indonesia. Hingga kini, faktor-faktor yang berkontribusi terhadap stunting masih menjadi topik perdebatan. Anak-anak di negara-negara berpenghasilan rendah dan menengah menghadapi risiko lebih tinggi mengalami stunting karena kemiskinan. Artinya, prevalensi stunting di kalangan kelompok ekonomi kurang mampu menunjukkan terbatasnya akses terhadap gizi yang cukup di wilayah tertentu. Oleh sebab itu, penelitian bertajuk “Analisis Pengaruh Kemiskinan dan Pendidikan Terhadap Kejadian Stunting pada Balita di Indonesia” ini bertujuan untuk mengkaji stunting secara komprehensif. Penelitian ini berfokus pada dua tujuan utama: (1) menguji korelasi antara pendapatan dan kejadian stunting pada anak-anak Indonesia, dan (2) menganalisis hubungan antara pendidikan dan stunting di Indonesia. Penelitian ini menggunakan Structural Equation Modeling (SEM) untuk analisisnya. Survei dalam penelitian ini melibatkan 800 responden (400 rumah tangga dengan anak stunting dan 400 keluarga dengan anak tidak stunting) di berbagai wilayah. Hasil penelitian menunjukkan bahwa (1) pendapatan secara tidak langsung menurunkan angka stunting melalui peningkatan gizi dan sanitasi anak, dan (2) tinggi badan orang tua, pendidikan, pendapatan, dan berat badan lahir cukup bulan berpengaruh langsung terhadap penurunan angka stunting. Keterbatasan utama penelitian ini adalah penggunaan sampel non-probabilitas, yang dapat mempengaruhi kemampuan generalisasi temuan. Selain itu, desain cross-sectional membatasi kemampuan untuk menetapkan hubungan sebab akibat antara variabel yang diperiksa.