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Journal : Indonesian Journal of Contemporary Multidisciplinary Research

Forecasting Indonesia's Gross Domestic Product Using Extreme Learning Machine and Double Exponential Smoothing Bria, Anggelina Yuniance; Miswanto; Biyanto, Frasto; Siregar, Baldric
Indonesian Journal of Contemporary Multidisciplinary Research Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/modern.v4i1.13265

Abstract

Gross Domestic Product (GDP) is one of the main indicators used to measure the economic condition of a country. Stable economic growth is crucial for achieving societal well-being; however, there are various factors that influence GDP fluctuations. Internal factors, such as ineffective fiscal and monetary policies, as well as external factors like changes in global economic conditions and geopolitical instability, can lead to instability in GDP growth. To improve GDP stability, appropriate fiscal and monetary policies, infrastructure investments, productivity enhancement, and the promotion of industry and the creative economy are necessary. This study employs two forecasting methods, namely Extreme Learning Machine (ELM) and Double Exponential Smoothing (DES), to analyze and predict economic growth based on historical GDP data. The results show that both methods can be used effectively to predict GDP growth, with ELM demonstrating superior ability in producing more accurate forecasts. By applying the right methods, it is expected that stable GDP growth can be achieved, leading to improved societal well-being and advancing the nation's progress.
The Spatial Lag X Method Using Three Types of Distance Weighting in Food Security Data Analysis in Central Sulawesi Mbete, Roselina Lucia Ketty; Miswanto; Biyanto, Frasto; Siregar, Baldric
Indonesian Journal of Contemporary Multidisciplinary Research Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/modern.v4i1.13266

Abstract

Food security is a critical global issue due to rapid population growth and the increasing impacts of climate change. This study aims to analyze food security and identify spatial patterns among regions in Central Sulawesi in 2022. A Spatial Lag X method was applied, enhanced with three distance weighting techniques: Inverse Distance Weighting (IDW), Exponential Distance Decay (EXP), and Double Power Distance (DPD). These were used to assess the spatial influence on food security data, sourced from the Central Sulawesi Statistics Bureau. The Spatial Lag X approach integrates neighboring regions’ variables to explain the dependent variable. The findings reveal that with IDW and EXP weights at a 10% significance level, no variables significantly influenced the Food Security Index. However, using DPD weights, Gross Regional Domestic Product (GRDP) per capita at current prices (X4) significantly influenced the Food Security Index at a 10% level. The DPD-weighted Spatial Lag X model was identified as the best model for analyzing food security in Central Sulawesi in 2022, achieving an AIC value of 23.91885 and an R² of 0.9977. This study highlights the importance of spatial factors in understanding regional food security dynamics.
Co-Authors Aditia Yusuf Setiawan Aditya Candra Kusuma Al.Patriot Putera Mahendra Alda Yuliana Amalia, Yusrina Ana Marcal Anjar Surdiyani Annisa Anti Aulia Nuri Saragih Aprih Santoso Aslan, Vajrin Syawaluddin Baldric Siregar Baldric Siregar Bambang Setia Wibowo Beby Ayu Wardhani BIYANTO, FRASTO Bria, Anggelina Yuniance Brito, Sr. Ervinia Martins Devi Tri Nugraheni Dewi Fitriyani Diczon Stevanus Oematan Dwi Murniyati Edigar Filipe Pereira Eggi Sandy Tesa Eka Puspita Sari Endarwati Endarwati Ernawan Septia Putri Ussholehah Fadli, La Ode Fernandes, Adelia Fithratun Nuha Tsabita FRASTO BIYANTO Gabriela Rosellini Wisnu Geraldin Hernandi J Horacio, Amancio Irma Oktarina Safitri Isnanda Zainur Rohman, Isnanda Zainur Izza Salsabila Jatinugroho, Robertus Cahyo Juvin Setyarini Lu’lu’ Nafiati Marufi, Muqorrobien Mbete, Roselina Lucia Ketty Meidi Syaflan, Meidi Meiliasari, Vika Mohamad Faiz Arrafi Mubarok, Rijal Rizki Muhammad Nabil Bouxit Murniyati, Dwi Nonis , Maria Febriani Nopi Handayani Nugraha, Mochamad Saddam Ilyas Nur Wulandari, Diah Novita Oktafiani, Vani Patmawati, Desi Perdana, Oksa Wisnu Pereira, Edigar Filipe Pereira, Filipe Mendes Pinto, Leonardo Pratama, Yondik Army Pratiwi, Chris Indah Putra, Gregorius Okta Putri Arneta Sidik Putri Dharmana, Vanessa Putri, Ajeng Kharisma Rahmawaty, Anisa Rajabuan, Ance Costansa Ratnasari, Intan Riana Riana Rina Wulandari Rois Arifin Rosalina Deviyanti Rr. Niken Purwasari Santosa, Harjuna Cipta Sempati May Al-Farrasi Seno Bagus W, R. Stefanus Setyarini, Juvin Shandhi Alamsyah Shilfiyana, Dhindha Shofia Suparti Shofia Suparti Sirait, Dian Rumintang Irianti Soares, Anacleto Roberto Carolina Soares, Casimiro Syifa Sonia Putri Talentia Herri Christiana Theresia Trisanti Theresia Trisanti Tiara Nur Anisah Tiara Nur Anisah Titik Kusmantini Ula Restu Rafifah V. da Silva, Rita de Fátima Vajrin Syawaluddin Aslan Veronica Sunarto Ximenes Watang, Kirenius Conny Chapry Wijaya, Nikodemus Hans Setiadi Wulandari, Amalia Dewi Yanuar Rifqi Abdullah Yanuar Rifqi Abdullah Yessi Ria Angelia Yudhasepti, Wikarisa