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All Journal International Journal of Management Science and Information Technology (IJMSIT) Nanggroe: Journal of Scholarly Service
Karto, Andriani
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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.
Pemberdayaan Ekonomi Petani Hortikultura Melalui Peningkatan Produktivitas, Integrasi Pasar dan Penguatan Kelembagaan Kelompok Tani Tunas Baru di Kelurahan Malawele, Distrik Aimas, Kabupaten Sorong Nugroho, Adi; Karto, Andriani; F. Binter, Arnold; Pasaribu, Sandi H.; Frasawi, Orpa; Seme, Alfin; Yamese, Delfianti; Kalaibin, Yulius; Djitmau, Fanda
Nanggroe: Jurnal Pengabdian Cendikia Vol 4, No 10 (2026): January
Publisher : Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18607806

Abstract

This Community Service program was conducted in Malawele Village, Aimas District, Sorong Regency, to empower farmers’ economic capacity through improvements in farming productivity, market integration, and strengthening of farmer group institutions. The target group of the activity was the Tunas Baru Farmer Group, whose members cultivate horticultural crops, particularly mustard greens and long beans. The program was implemented using a participatory and applicative approach, placing farmers as active subjects in all stages of the activity, including problem identification, counseling, technical training, marketing assistance, and institutional strengthening. The results of the program indicate an improvement in farmers’ knowledge and skills related to cultivation techniques, increased awareness of the importance of market access and collective marketing, and enhanced cooperation and participation within the farmer group. Furthermore, the strengthening of the Tunas Baru Farmer Group contributed to its role as a forum for joint decision-making and collective farm business planning. Overall, the Community Service activity demonstrated positive initial impacts on farmer economic empowerment and provided a foundation for sustainable horticulture-based local economic development in Malawele Village.
Co-Authors Adi Nugroho Apriyane Patty, Maria Djitmau, Fanda F. Binter, Arnold Kalaibin, Yulius Orpa Frasawi Pasaribu, Sandi H. Seme, Alfin Yamese, Delfianti