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PERAMALAN PRODUKSI GULA TEBU DI INDONESIA MENGGUNAKAN MODEL HYBRID SARIMA (SARIMA-ANN) DALAM MENGUKUR CAPAIAN SWASEMBADA GULA 2025 Hermawan, Kadek Dody Kusuma; Cahyarani, Arista Ika; Siregar, Tiara Khorijah Hamid; Kartiasih, Fitri
Agricore Vol 10, No 1 (2025): Volume 10 No 1, Juni 2025
Publisher : Departemen Sosial Ekonomi Faperta Unpad dan Perhepi Komisariat Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/agricore.v10i1.62470

Abstract

AbstrakGula merupakan salah satu barang hasil industri yang termasuk kebutuhan esensial bagi masyarakat Indonesia. Penelitian ini bertujuan untuk menentukan model terbaik dalam meramalkan produksi gula di Indonesia, sekaligus meramalkan pencapaian swasembada gula nasional pada tahun 2025. Penelitian ini menggunakan data bulanan produksi gula di Indonesia dari periode Januari 2014 sampai Desember 2023, yang bersumber dari Badan Pusat Statistik. Data tersebut dimodelkan dengan model SARIMA (Seasonal Autoregressive Integrated Moving Average) dan hybrid SARIMA (gabungan Seasonal Autoregressive Integrated Moving Average dengan Artificial Neural Network) untuk menentukan model terbaik. Kedua model tersebut dapat memodelkan produksi gula di Indonesia yang memiliki pola musiman kuat. Namun, model hybrid SARIMA menghasilkan akurasi peramalan yang lebih baik dibandingkan model SARIMA. Oleh karena itu, model terbaik yang digunakan untuk meramalkan produksi gula di Indonesia adalah model hybrid SARIMA. Hasil peramalan dengan model tersebut pada dua tahun ke depan menunjukkan bahwa produksi gula nasional mengalami stagnan, sehingga belum mampu mencapai swasembada gula nasional pada tahun 2025.Kata kunci: Produksi gula, swasembada gula, SARIMA, hybrid SARIMA.AbstractSugar is one of the industrial goods that are essential to the Indonesian people. This study aims to determine the best model for forecasting sugar production in Indonesia and to assess the achievement of national sugar self-sufficiency by 2025. The study uses monthly data on sugar production in Indonesia from January 2014 to December 2023, sourced from Statistics Indonesia. The data were modeled using SARIMA (Seasonal Autoregressive Integrated Moving Average) and hybrid SARIMA models (a combination of SARIMA and Artificial Neural Network) to identify the best model. Both models were capable of capturing the strong seasonal pattern of sugar production in Indonesia. However, the hybrid SARIMA model produces better forecasting accuracy than the SARIMA model. Therefore, the hybrid SARIMA model was selected as the best model for forecasting sugar production in Indonesia. Forecast results for the next two years indicate stagnation in national sugar production, suggesting that Indonesia is unable to achieve sugar self-sufficiency by 2025.Keywords: Sugar production, sugar self-sufficiency, SARIMA, hybrid SARIMA.
Faktor-Faktor yang Memengaruhi Penanaman Modal Dalam Negeri di Indonesia Menurut Provinsi Tahun 2014-2023 Hermawan, Kadek Dody Kusuma
Seminar Nasional Official Statistics Vol 2025 No 1 (2025): Seminar Nasional Official Statistics 2025
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2025i1.2453

Abstract

Domestic Investment (DI) is one type of investment that comes from local investors. This study aims to determine the factors that influence DI in Indonesia by province 2014-2023. This study uses panel data obtained from Statistics Indonesia and Ministry of Manpower. The data consists of variables of DI realization, Gross Regional Domestic Product (GRDP), Provincial Minimum Wage (PMW), inflation, and Incremental Capital Output Rasio (ICOR). These variables were modeled with panel data regression. The model selection results show that Fixed Effect Model (FEM) is the most suitable model to explain the influence of independent variables on DI realization. The estimation results show that variables of GRDP and PMW each have a positive and significant effect on DI realization, while variables of inflation and ICOR have no effect. These findings can provide insights for the government in formulating policies to create more equitable DI realization