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All Journal Jurnal Agroteknos Jurnal Ilmu Ekonomi dan Pembangunan Journal of Mathematics: Theory and Applications
Hapsa, Sitti
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Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Mathematics Social Sciences

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PENGARUH PUPUK KANDANG AYAM DAN BOKASHI KULIT PISANG TERHADAP KADAR AIR TANAH DAN C-ORGANIK SERTA PERTUMBUHAN JAGUNG PADA REGOSOL PESISIR NAMBO HAPSA, SITTI; REMBON, FRANSISCUS S.; LEOMO, SITTI
Jurnal Agroteknos Vol 13, No 1 (2023)
Publisher : Jurnal Agroteknos

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Abstract

This study aims to determine the dose of chicken manure and banana peel bokashi kepok which has a better effect on increasing soil moisture content and organic C content in Regosol soil and corn plant growth, and to determine the effect of adding chicken manure and kepok banana peel bokashi on the growth of maize. This research was conducted at the Field Experimental Garden II, Faculty of Agriculture, Halu Oleo University and soil sampling was carried out on the coast of Nambo. Soil sample analysis was carried out at the soil test laboratory of the Department of Soil Science and the Integrated Laboratory of Halu Oleo University, which took place from April to June 2022. The design used was a factorial randomized block design with two factors, namely chicken manure and kepok banana peel bokashi. The results showed that the application of chicken manure and kepok banana peel bokashi has a significant effect at p< 0,05 and p
Peramalan Harga Beras di Tingkat Perdagangan Besar (Grosir) Indonesia Menggunakan Model ARFIMA-GARCH Hapsa, Sitti; Rahmawati
Journal of Mathematics: Theory and Applications Vol. 8 No. 1 (2026): Volume 8 Nomor 1 Tahun 2026
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v8i1.5622

Abstract

Penelitian ini memanfaatkan data harga beras grosir di Indonesia pada periode Januari 2010 hingga September 2024. Data harga beras memperlihatkan adanya karakteristik memori jangka panjang yang memerlukan pemodelan khusus. Tujuan penelitian ini adalah untuk melakukan peramalan harga beras sekaligus menentukan model yang paling optimal. Metode yang diterapkan adalah Autoregressive Fractionally Integrated Moving Average – Generalized Autoregressive Conditional Heteroskedasticity (ARFIMA-GARCH), di mana ARFIMA berfungsi menangkap sifat long memory sementara GARCH digunakan untuk memodelkan volatilitas, sehingga dinilai lebih tepat dibandingkan penggunaan ARFIMA saja. Tiga model ARFIMA-GARCH yang diuji meliputi ARFIMA(0,d,0)-GARCH(1,1), ARFIMA(0,d,0)-GARCH(1,2), dan ARFIMA(0,d,0)-GARCH(2,1), dengan hasil bahwa ARFIMA(0,d,0)-GARCH(1,1) merupakan model terbaik berdasarkan nilai AIC dan BIC yang paling rendah. Hasil peramalan memperlihatkan adanya tren penurunan harga beras dari Rp13.102/kg pada Oktober 2024 menjadi sekitar Rp12.130/kg pada September 2025. Secara keseluruhan, model ARFIMA-GARCH terbukti mampu menghasilkan peramalan harga beras yang lebih akurat dan relevan sebagai dasar dalam perumusan kebijakan stabilisasi pangan.
ANALISIS PERTUMBUHAN EKONOMI D.I. YOGYAKARTA TAHUN 2008-2016 Hapsa, Sitti; Khoirudin, Rifki
Jurnal Ilmu Ekonomi dan Pembangunan Vol 18, No 2 (2018): Jurnal Ilmu Ekonomi dan Pembangunan
Publisher : EP FEB UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (44.723 KB) | DOI: 10.20961/jiep.v18i2.24488

Abstract

One of the goals of regional development is to increase economic growth. The increasing economic growth of a region, will realize the level of welfare of its people. This study aims to determine the effect of local revenue, capital expenditure and labor on economic growth in the Province of  DIY in 2008-2016. This research is an empirical research with panel data analysis tools. The data used in this study are secondary data from 5 regencies / cities in DIY Province in 2008-2016. The analysis model used in this study to estimate the regression model is to use the Random Effect model. The results in the study at the 5% significance level showed that:  (1) the variables of regional income have a positive and significant effect on economic growth; (2) capital expenditure variables have a negative and insignificant effect on economic growth; (3) labor variables have a positive and significant effect on economic growth.Keywords: economic growth, regional income, capital expenditure and labor.JEL Classification : E01, H13
Co-Authors Khoirudin, Rifki Leomo, Sitti Rahmawati REMBON, FRANSISCUS S.