Claim Missing Document
Check
Articles

Found 4 Documents
Search

Development of Econometric Models for Financial Performance Forecasting in Companies Nugroho, Adi; Apriyane Patty, Maria; Karto, Andriani
International Journal of Management Science and Information Technology Vol. 4 No. 2 (2024): July - December 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v4i2.3146

Abstract

This study develops an econometric model to predict corporate financial performance. The goal is to improve the accuracy of predictions by analysing relevant economic and financial variables. The model combines statistical and econometric analysis to identify significant input variables such as asset turnover, firm size, capital structure, and liquidity. The study also highlights the importance of external factors, such as environmental policies and knowledge management, that affect corporate financial performance. Using ARIMA and VAR models, the study shows that selecting the correct parameters, such as the number of lags, is critical to improving prediction accuracy. The developed model is evaluated based on RMSE, MAD, and MAPE metrics, which show that the econometric model offers more accurate predictions than the classical statistical model. These results contribute significantly to understanding corporate financial performance dynamics and can be a reliable tool in strategic decision-making across various industry sectors.
Development of Econometric Models for Financial Performance Forecasting in Companies Nugroho, Adi; Apriyane Patty, Maria; Karto, Andriani
International Journal of Management Science and Information Technology Vol. 4 No. 2 (2024): July - December 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v4i2.3146

Abstract

This study develops an econometric model to predict corporate financial performance. The goal is to improve the accuracy of predictions by analysing relevant economic and financial variables. The model combines statistical and econometric analysis to identify significant input variables such as asset turnover, firm size, capital structure, and liquidity. The study also highlights the importance of external factors, such as environmental policies and knowledge management, that affect corporate financial performance. Using ARIMA and VAR models, the study shows that selecting the correct parameters, such as the number of lags, is critical to improving prediction accuracy. The developed model is evaluated based on RMSE, MAD, and MAPE metrics, which show that the econometric model offers more accurate predictions than the classical statistical model. These results contribute significantly to understanding corporate financial performance dynamics and can be a reliable tool in strategic decision-making across various industry sectors.
DETERMINAN KEMISKINAN DAN KETIMPANGAN PENDAPATAN DALAM KONTEKS PEMBANGUNAN EKONOMI DAERAH: STUDI EMPIRIS Karto, Andriani; Pasaribu, Sandi Hasudungan; Fonataba, Herman Paulus
Jurnal Maneksi (Management Ekonomi Dan Akuntansi) Vol. 15 No. 1 (2026): Maret
Publisher : Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jm.v15i1.3639

Abstract

Introduction: Poverty and income inequality remain fundamental challenges in Indonesia's regional economic development, where despite declining absolute poverty rates during decentralization, consumption inequality has significantly increased, offsetting the positive impacts of consumption growth on poverty reduction. Income inequality demonstrates a positive and substantial impact on poverty prevalence, while unemployment, human development, fiscal transfers, and employment structure significantly influence these phenomena through complex transmission mechanisms.This study analyzes the determinants of poverty and income inequality in regional economic development contexts, examines the mediating role of income inequality in the relationship between macroeconomic determinants and poverty, and identifies heterogeneous determinant patterns across regions with different geographical and structural economic characteristics.Method: This quantitative explanatory research employs balanced panel data from 34 districts/cities during 2019-2023 (170 observations), utilizing Fixed Effect Model and Random Effect Model regression analysis with Generalized Method of Moments system estimation, mediation analysis using Baron and Kenny method, and heterogeneity analysis across urbanized, transitional, and rural regions.Results: Income inequality emerges as the strongest determinant of poverty (β = 18.45, p < 0.01), followed by the open unemployment rate, the Human Development Index, and economic growth. The informal employment structure constitutes the strongest predictor of income inequality (β = 0.0034, p < 0.01). Income inequality serves as a partial mediation, with a 32% mediation proportion for the employment structure pathway and 24% for the economic growth pathway. Substantial heterogeneity exists across regional typologies, where HDI becomes critical in urbanized areas while income redistribution proves more crucial in rural regions.Conclusion: Integrated development policies encompassing the structural transformation of informal employment, human resource investment strengthening, and the implementation of inclusive growth with differentiated approaches based on regional typologies are recommended to reduce poverty and inequality effectively. Keywords: Economic Growth, Human Development Index, Income Inequality, Poverty, Regional Development.
Peran Konversi Lahan Sawah dalam Memediasi Pengaruh Pertumbuhan Permukiman terhadap Ketahanan Pangan di Papua Karto, Andriani; Irawan, Satrya Baru; Syatfle, Patrinisiana
Economics and Digital Business Review Vol. 7 No. 1 (2025): Agustus - Januari
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pertumbuhan permukiman yang semakin cepat di Papua berpotensi menekan ruang produksi pangan dan meningkatkan kerentanan sistem pangan daerah. Perubahan penggunaan lahan yang tidak terkendali dapat menggeser fungsi lahan pertanian, termasuk sawah, sehingga penting untuk memahami jalur dampaknya terhadap ketahanan pangan. Penelitian ini bertujuan menganalisis pengaruh pertumbuhan permukiman terhadap ketahanan pangan dengan konversi lahan sawah sebagai variabel mediasi di Papua. Penelitian menggunakan pendekatan kuantitatif dengan desain eksplanatori. Populasi penelitian adalah rumah tangga di wilayah penelitian Papua. Teknik pengambilan sampel menggunakan multistage sampling, dengan jumlah sampel sebanyak 200 responden. Data dikumpulkan melalui survei kuesioner dan dianalisis menggunakan SEM PLS dengan bantuan SmartPLS. Hasil penelitian menunjukkan bahwa pertumbuhan permukiman berpengaruh terhadap meningkatnya konversi lahan sawah, dan konversi lahan sawah berpengaruh terhadap perubahan kondisi ketahanan pangan. Selain itu, konversi lahan sawah terbukti menjadi mekanisme yang menjembatani pengaruh pertumbuhan permukiman terhadap ketahanan pangan. Implikasi penelitian ini menekankan perlunya penyelarasan kebijakan pembangunan permukiman dengan perlindungan lahan pangan serta penguatan tata kelola ruang agar ketahanan pangan Papua lebih terjaga.