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All Journal JURNAL ECONOMIA Journal of Economics, Business, & Accountancy Ventura Jurnal Ilmiah Manajemen "E M O R" Dinasti International Journal of Digital Business Management IDEI: Jurnal Ekonomi & Bisnis TheJournalish: Social and Government Economics and Digital Business Review Solusi: Jurnal Kajian Ekonomi dan Bisnis Studi Ilmu Manajemen dan Organisasi Jurnal Media Informatika Jurnal Arastirma ProBisnis : Jurnal Manajemen Jurnal Minfo Polgan (JMP) International Journal of Islamic Business and Management Review Balance : Jurnal Akuntansi dan Manajemen Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Indonesian Journal of Contemporary Multidisciplinary Research Benefit : Journal of Bussiness, Economics, and Finance Indo-Fintech Intellectuals: Journal of Economics and Business VISA: Journal of Vision and Ideas KINERJA : Jurnal Ekonomi dan Bisnis J-CEKI
Baldric Siregar
Sekolah Tinggi Ilmu Ekonomi (STIE) YKPN, Yogyakarta, Indonesia
Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences

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Journal : Indonesian Journal of Contemporary Multidisciplinary Research

 1 
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.
The Influence of Competitive Advantage, Market Orientation, and Partnerships on Reddoorz's Marketing Performance Neno, Yohanes Robinsius; Miswanto, Miswanto; Siregar, Baldric; Biyanto, Frasto
Indonesian Journal of Contemporary Multidisciplinary Research Vol. 3 No. 6 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/modern.v3i6.12545

Abstract

The aim of this study is to evaluate the impact of competitive advantage, market orientation, and partnerships on the marketing performance of RedDoorz, a rapidly growing budget accommodation platform in Indonesia. Using a quantitative approach, primary data were collected through questionnaires distributed to 40 selected respondents using a purposive sampling technique. Based on multiple linear regression analysis, the findings indicate that competitive advantage and partnerships have a positive and significant influence on marketing performance, while market orientation does not show a significant effect. Theoretically, this study supports the resource-based view theory and serves as a reference for future research in this area. Practically, the findings can be utilized by RedDoorz management to formulate strategies aimed at enhancing competitiveness and marketing performance amidst increasingly intense competition.
Co-Authors Amalia, Yusrina Annisa BIYANTO, FRASTO Bria, Anggelina Yuniance Endarwati Endarwati Fadli, La Ode Fernandes, Adelia Hafid, Abdullah Jatinugroho, Robertus Cahyo Lilis Susanti, Lilis Luthfia, Munhamik Marufi, Muqorrobien Mbete, Roselina Lucia Ketty Meiliasari, Vika Miswanto Miswanto Neno, Yohanes Robinsius NENTA, YOSEP ARMANDO Nugraha, Mochamad Saddam Ilyas Nur Wulandari, Diah Novita Oktafiani, Vani Pane, Mimi Meriami Br Perdana, Oksa Wisnu Pereira, Edigar Filipe Pereira, Filipe Mendes Pinto, Leonardo Pratama, Yondik Army Pratiwi, Chris Indah Pratiwi, Nurna Putra, Gregorius Okta Putri Dharmana, Vanessa Putri, Ajeng Kharisma Rahmawaty, Anisa Rajabuan, Ance Costansa Ratnasari, Intan Santosa, Harjuna Cipta Seno Bagus W, R. Stefanus Shilfiyana, Dhindha Soares, Anacleto Roberto Carolina Soares, Casimiro Soares, Luis Americo Tay, Renya Rostika Oma Terra, Inai Totok Wijayanto, Totok V. da Silva, Rita de Fátima Wulandari, Amalia Dewi Ximenes, Antonio Yudhasepti, Wikarisa Zahra, Zulfa Putri Az-