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All Journal E-Journal Perdagangan Industri dan Moneter KEK (Kajian Ekonomi dan Keuangan) ESTIMASI: Journal of Statistics and Its Application Majalah Ilmiah Matematika dan Statistika (MIMS) LOSARI: Jurnal Pengabdian Kepada Masyarakat Journal of Comprehensive Science ASERSI : Jurnal Akuntansi Terapan dan Bisnis Priviet Social Sciences Journal UNP Journal of Statistics and Data Science Madani: Multidisciplinary Scientific Journal Benefit : Journal of Bussiness, Economics, and Finance Multi Proximity: Jurnal Statistika Universitas Jambi Global Education Journal Journal of Demography, Etnography, and Social Transformation PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Jurnal Pengabdian Masyarakat Indonesia (JPMI) Jurnal Ekonomi, Manajemen, Akuntansi Indonesian Journal of Statistics and Its Applications Jurnal Stagflasi : Ekonomi, Manajemen dan Akuntansi Referensi Islamika: Jurnal Studi Islam Melayani: Jurnal Pengabdian Kepada Masyarakat
Mubarak, Fadhlul
UIN Sulthan Thaha Saifuddin Jambi
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Optimalisasi Potensi Lokal: Pemanfaatan Serbuk Kayu Dan Serasah menjadi Pupuk Organik Komersial di Desa Setiris, Kecamatan Maro Sebo, Kabupaten Muaro Jambi Riri Oktari Ulma; Saidin Nainggolan; Richard Robintang Parulian Napitupulu; Diah Listyarini; Fadhlul Mubarak
Melayani: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2024): Melayani : Jurnal Pengabdian Kepada Masyarakat
Publisher : Penerbit dan Percetakan CV. Picmotiv

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61930/melayani.v1i2.101

Abstract

Pengabdian ini menyoroti pemanfaatan serbuk kayu dan serasah sebagai pupuk dasar di Desa Setiris, Kecamatan Maro Sebo, Kabupaten Muaro Jambi. Desa ini, yang mayoritas bertani, menghadapi tantangan limbah kayu dari produksi mebel. Inovasi mengubah limbah ini menjadi pupuk organik telah memberikan dampak signifikan terhadap ekonomi lokal. Dengan mengurangi ketergantungan pada pupuk kimia yang mahal, petani berhasil menekan biaya produksi dan meningkatkan kemandirian dalam pengelolaan sumber daya alam. Langkah ini tidak hanya meningkatkan produktivitas pertanian secara berkelanjutan tetapi juga meningkatkan kesadaran lingkungan dan solidaritas komunitas. Secara keseluruhan, adopsi pupuk organik dari serbuk kayu dan serasah di Desa Setiris menjadi contoh untuk pertanian berkelanjutan dan ketahanan ekonomi di masyarakat pedesaan.
BEST FORECASTING FOR THE CAPITAL ADEQUACY RATIO OF THE FINANCIAL PERFORMANCE OF ISLAMIC COMMERCIAL BANKS IN INDONESIA Vinny Yuliani Sundara; Nurniswah Nurniswah; Fadhlul Mubarak; Atilla Aslanargun
Referensi Islamika: Jurnal Studi Islam Vol. 4 No. 3 (2026): JUNE
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/ri.v4i3.526

Abstract

This study aims to determine the best forecasting method for CAR by comparing three approaches, namely automatic autoregressive integrated moving average (auto-ARIMA), multilayer perceptron (MLP) neural networks, and ensemble method and to see their relationship to resilience, prudence, public trust, and stability of Islamic banking institutions. The CAR data used is monthly time series data published by the Financial Services Authority (OJK) in Indonesia for the period 2015-2025. Training and testing data are used to evaluate forecasting performance using mean absolute error (MAE), mean squared error (MSE), and mean absolute percentage error (MAPE). Forecasting results using the auto-ARIMA (0,1,0) model, the best method, confirmed that CAR is on a stable and sustainable path. This finding reinforces CAR's role as a multidimensional indicator linking financial performance, institutional resilience, sharia compliance, prudence, and social responsibility of Islamic banks to the community. The accuracy of this forecasting has direct implications for strengthening Islamic banking governance by increasing capital resilience in the face of future economic shocks. The ability to accurately predict CAR allows management to prioritize prudent principles in financing distribution, thereby mitigating the risk of systemic failure. Furthermore, well-planned capital ratio stability will strengthen public confidence in the security of funds in Islamic financial institutions. Reliable CAR forecasting not only supports managerial decision-making, but also contributes to strengthening the stability and credibility of Islamic banking as an institution responsible for society and the economy in Indonesia.
Pengelompokan Provinsi Berdasarkan Dinamika Nasabah-Debitur BPR Syariah Fadhlul Mubarak; Bunga Mardhotillah; Vinny Yuliani Sundara; Germansah Germansah; Panji Jiblathar
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 5 No. 3: Maret 2026
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v5i3.14569

Abstract

Penelitian ini bertujuan untuk mengelompokkan provinsi di Indonesia berdasarkan dinamika jumlah nasabah dan debitur Bank Pembiayaan Rakyat Syariah (BPRS) selama periode Februari-Oktober 2025. Data bersumber dari Otoritas Jasa Keuangan (OJK) dan dianalisis menggunakan metode K-Means Clustering dengan dua variabel utama, yaitu rata-rata jumlah nasabah dan debitur per provinsi. Proses analisis meliputi standardisasi data, penentuan jumlah klaster optimal melalui metode Elbow dan Silhouette, serta visualisasi hasil pengelompokan. Hasil penelitian menunjukkan terbentuknya tiga klaster: (i) klaster dengan aktivitas BPRS tinggi (Jawa Barat dan Jawa Timur), (ii) klaster dengan aktivitas rendah yang mencakup sebagian besar provinsi, dan (iii) klaster menengah dengan rasio debitur/nasabah relatif tinggi seperti Nusa Tenggara Barat dan Kepulauan Riau. Temuan ini mengindikasikan adanya heterogenitas antarwilayah yang signifikan, sehingga kebijakan pengembangan BPRS perlu disesuaikan dengan karakteristik masing-masing klaster. Penelitian ini memberikan kontribusi dalam perumusan strategi segmentasi berbasis data untuk meningkatkan inklusi keuangan syariah di Indonesia.
GSTARIMA Model with Missing Value for Forecasting Gold Price Fadhlul Mubarak; Atilla Aslanargun; İlyas Sıklar
Indonesian Journal of Statistics and Applications Vol 6 No 1 (2022)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v6i1p90-100

Abstract

Gold is one of the investments that be a great demand. Selecting and applying the best GSTARIMA model for gold price forecasting was the aim of this study. However, the gold price data that has been obtained missing values. Missing value data has been imputed by the last data before the missing value and moving average techniques. The GSTAR (1) and GSTARI (1, 1) models have been combined with an imputation technique solved this problem. Based on the smallest RMSE value, the GSTARI (1, 1) model which has been combined with the imputation technique that used the last value was the best method because it produced the smallest RMSE when compared to other methods. Forecasting results shown that gold prices in the United States, United Kingdom, and Indonesia increased but gold prices in Turkey actually decreased. Forecasting gold prices in each of these countries become one of the references in investing in gold. Based on the results of gold price forecasting, gold prices changed but not significantly.
The Influence of Non-Investment Variables on Total Asset Growth: Multiple Regression Analysis in Sharia Insurance Using Classical Assumption Tests Ferdiansyah Ferdiansyah; M. Yuda Pratama; Aditia Saputra; Fadhlul Mubarak
Jurnal Stagflasi : Ekonomi, Manajemen dan Akuntansi Vol. 4 No. 1 (2026): Jurnal Stagflasi : Ekonomi, Manajemen dan Akuntansi, 2026
Publisher : Sean Institute

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

Abstract

This study investigates the influence of Receivables and Acquisition Costs on the asset growth of Islamic insurance companies in Indonesia. The research emphasizes how receivables management and customer acquisition expenditures contribute to strengthening financial performance. The novelty of this study lies in simplifying the regression model by excluding variables that cause multicollinearity, thereby producing a more reliable model. Unlike previous studies that broadly examined asset-related variables, this research highlights Receivables and Acquisition Costs as the primary determinants of asset growth. A quantitative approach was employed using secondary data from financial statements, analyzed through multiple linear regression with R software, and validated using classical assumption tests. The findings reveal that Receivables have a positive and significant effect on asset growth, underscoring their role as a dominant factor in enhancing financial stability. Conversely, Acquisition Costs show a positive but insignificant effect, indicating limited contribution to asset expansion. The second regression model proved more reliable than the initial model, as it met all classical assumptions. This study is limited to the Islamic insurance sector in Indonesia, restricting generalization. The implications suggest that firms should prioritize receivables management as a core strategy, while regulators such as the Financial Services Authority (OJK) should strengthen oversight of receivable-based asset quality. Future research is recommended to incorporate additional variables, including investment activities and macroeconomic factors, to provide a more comprehensive understanding of asset growth determinants.
Risk Measurement of Islamic Banking Financing Portfolio in Indonesia Based on Value at Risk Variance–Covariance Germansah Germansah; Panji Jiblathar; Fadhlul Mubarak
Benefit: Journal of Bussiness, Economics, and Finance Vol. 4 No. 2 (2026): BENEFIT: Journal Of Business, Economics, and Finance
Publisher : Lembaga Penelitian Dan Publikasi Ilmiah (lppi) Yayasan Almahmudi Bin Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70437/benefit.v4i2.1783

Abstract

This research is motivated by the importance of risk measurement of Islamic banking financing portfolios that have different contract characteristics. The purpose of this study is to analyze the risk of the financing portfolio based on the type of contract using the Value at Risk approach based on variance-covariance. The method used is a quantitative approach with data on the time sequence of Islamic banking financing in Indonesia, which is analyzed through the measurement of returns, volatility, and correlations between financings. The findings show that portfolio risk is heterogeneous, with project-based financing showing the highest level of risk, while asset-based financing shows a greater level of stability. Furthermore, it can be seen that interactive relationships can be leveraged to facilitate risk diversification. In conclusion, Value at Risk-based risk measurement is able to provide a more comprehensive picture of potential portfolio losses and support more effective risk management.
Strengthening Village Statistical Literacy through Zero-Budget Collaboration: The Ga-Wat Desa Program in Buluran Kenali, Jambi Titin Agustin Nengsih; Urwawuska Ladini; Betri Wendra; Della Amrina Yusra; Rini Warti; Vinny Yuliani Sundara; M. Yunus; Fadhlul Mubarak
LOSARI: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 2 (2026): Agustus 2026
Publisher : LOSARI DIGITAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53860/losari.v8i2.679

Abstract

Low statistical literacy at the village and academic levels remains a major barrier to data-driven development planning in Indonesia. This community service program, Ga-Wat Desa (Village-Visiting Statistical Agents), aims to strengthen village-level statistical literacy and standardize toddler nutritional data governance through a zero-budget collaboration between UIN Sulthan Thaha Saifuddin Jambi’s Statistic Corner and BPS Jambi Province’s Desa Cantik program. Using a qualitative descriptive method, field observation, integrated training, and participatory data collection, three student statistical agents conducted field activities in Buluran, Kenali Urban Village, Jambi. Results show that the program, delivered by three student agents across 6 posyandu, standardized WHO anthropometric measurement practices for a target population of 88 toddlers, while providing valuable practicum experience for the student agents. The program operated entirely without a dedicated budget, relying solely on institutional commitment and resource sharing, demonstrating collaborative governance as a replicable model for public service transformation in Indonesian villages.
Space Time Model in Missing Value Based on Google Trends Data: Gold Price during Covid-19 Fadhlul Mubarak; Vinny Yuliani Sundara; Nurniswah; Atilla Aslanargun
UNP Journal of Statistics and Data Science Vol. 4 No. 3 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss3/534

Abstract

In certain cases, there are data that have a missing value problem. One of them is gold price data from the World Gold Council. The main purpose of this study was to predict gold prices in Austria, India, South Korea, and Turkiye during Covid-19 using the best space-time model on the data. The models that have been used in this research were generalized space-time autoregressive integrated with exogenous variable (GSTARX) and generalized space time autoregressive integrated with exogenous variable (GSTARIX). Before using these models, the last observation carried forward (LOCF) imputation technique solved the missing value problem. In addition, google trends data has been used as an alternative to the spatial weighting matrix and exogenous variables in the two models. And the google trend categories that have been used were google shopping, image search, news search, web search, and youtube search. Based on the smallest mean absolute percentage error (MAPE was 4.3%), GSTARX model in which the weighting matrix has been derived from image search. Relatively speaking, the results of forecasting gold prices in Austria was constant, India was declining, South Korea was declining significantly and Turkiye was incresing significantly.
Co-Authors Adi Setiawan Adi Setiawan Aditia Saputra Agus Mohamad Soleh Ahmad Syukron Prasaja Andriansyah, . Aslanargun, Atilla Atilla Aslanargun Atilla Aslanargun Atilla Aslanargun Auliah, Umi İlyas Sıklar Betri Wendra Bunga Mardhotillah Della Amrina Yusra Diah Listyarini Ellys Agustina Fadillah Nasution, Rizky Fakhrur Razi Ferdiansyah Ferdiansyah Germansah Germansah Germansah Germansah Germansah, Germansah Gusmanely Z, Gusmanely Z Husni El Hilali Ilyas Siklar Jiblathar, Panji M. Yuda Pratama M. Yunus Mardhotillah, Bunga Mardia, Ainun Marni Zulyanty, Marni Murfadiah, Elsa Nabilla Rida Tri Nisa Nurniswah Nurniswah Nurniswah Nurniswah Nurniswah Nurniswah, Nurniswah Panji Jiblathar Panji Jiblathar Putra Hafiz, Ahsan Rafidah Rafidah Rapiko Rapiko Richard Robintang Parulian Napitupulu Rini Warti Riri Oktari Ulma Saidin Nainggolan Seran, Karlina Siti Arni Wulandya, Siti Arni Sundara, Vinny Yuliani Titin Agustin Nengsih Urwawuska Ladini Usmar, Ali Vinny Yuliani Sundara Vinny Yuliani Sundara Vinny Yuliani Sundara Vinny Yuliani Sundara Vinny Yuliani Sundara Vinny Yuliani Sundara Wahyuni, Elina Decelita Yanova, Shally