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All Journal Jurnal Absis : Jurnal Pendidikan Matematika dan Matematika Journal of Social Research
Irma Fauziah
Universitas Islam Negeri Syarif Hidayatullah Jakarta, Indonesia
Humanities Computer Science & IT Economics, Econometrics & Finance Education Mathematics Social Sciences

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Abu Dzar Islamic School in the Development of Islamic Philanthropy (2010–2021) Irma Fauziah; Abdul Wahid Hasyim
Journal of Social Research Vol. 5 No. 2 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i2.3033

Abstract

This study discusses the factors behind the strengthening of philanthropic practices in integrated Islamic schools, explains how philanthropy can positively impact the quality of education, and explores challenges and solutions in its implementation. Islamic philanthropy has long contributed to education, as evidenced by institutions such as madrasas, schools, pesantren, and even universities. The main problem in this study concerns the role of philanthropy in Islamic educational institutions (schools). This research employs historical and sociological approaches, drawing on concepts related to education and philanthropy. Philanthropic practices at Abu Dzar Islamic School in the Development of Islamic Philanthropy (2010–2021) are implemented through Abu Dzar Peduli, driven by at least five elements: a sense of concern for fellow humans, moral responsibility, principles of blessings, responsibility for da'wah, and a mission of moral education (character building). The results show that Abu Dzar Islamic School in the Development of Islamic Philanthropy (2010–2021) plays an important role as a non-state actor in community welfare, particularly in South Tangerang's education sector. Its philanthropic practices include developing educational institutions, providing scholarships, offering fee waivers for non-scholarship students, supplying educational facilities, and implementing long-term programs such as social and community training to support educational quality.
Forecasting indonesia's non-oil and gas exports and imports using the vector autoregressive integrated moving average (VARIMA) model Sifha Desti Wulandari; Madona Yunita Wijaya; Irma Fauziah
Jurnal Absis: Jurnal Pendidikan Matematika dan Matematika Vol. 9 No. 1 (2026): Jurnal Absis
Publisher : Program Studi Pendidikan Matematika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/absis.v9i1.3746

Abstract

Indonesia’s international trade, particularly in the non-oil and gas sector, plays a significant role in the national economy. This study aims to model and forecast Indonesia’s non-oil and gas exports and imports using the Vector Autoregressive Integrated Moving Average (VARIMA) model, a multivariate time series method that considers dynamic interdependence between variables. The data used in this study were monthly data from January 2018 to December 2024, consisting of 84 observations divided into 58 training data and 26 testing data. Model order identification was carried out using the Matrix Autocorrelation Function (MACF) for the MA component and the Matrix Partial Autocorrelation Function (MPACF) for the AR component. Parameter estimation was conducted using Maximum Likelihood Estimation (MLE) and refined through a restriction process to retain only statistically significant parameters. Diagnostic tests showed that the residuals met the assumptions of white noise and multivariate normality. Among several candidate models, VARIMA(2,1,2) was selected as the optimal model based on the balance between information criteria, model complexity, parameter stability, and forecasting reliability. The model produced MAPE values of 11.10% for imports, categorized as good, and 8.81% for exports, categorized as very good. The forecast results showed relatively stable fluctuations, with imports projected to range from US$14.32 million to US$18.48 million and exports from US$18.38 million to US$26.41 million. These findings indicate that the VARIMA(2,1,2) model provides adequate forecasting performance and can serve as a quantitative basis for supporting foreign trade policy planning, particularly in anticipating the dynamics of Indonesia’s non-oil and gas exports and imports.
Co-Authors Abdul Wahid Hasyim Madona Yunita Wijaya Sifha Desti Wulandari