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All Journal Jurnal Pengabdian Pada Masyarakat ESTIMASI: Journal of Statistics and Its Application Majalah Ilmiah Matematika dan Statistika (MIMS) LOSARI: Jurnal Pengabdian Kepada Masyarakat Edumatica: Jurnal Pendidikan Matematika UNP Journal of Statistics and Data Science Madani: Multidisciplinary Scientific Journal Multi Proximity: Jurnal Statistika Universitas Jambi JNPM (Jurnal Nasional Pendidikan Matematika) Global Education Journal Journal of Demography, Etnography, and Social Transformation Jurnal Pengabdian Masyarakat Indonesia (JPMI) Jurnal Ekonomi, Manajemen, Akuntansi Referensi Islamika: Jurnal Studi Islam
Sundara, Vinny Yuliani
Department Of Statistics, 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 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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Path diagram of SEM-PLS Public Perception of Ecotourism in Jambi Province Mardhotillah, Bunga; Mubarak, Fadhlul; Sundara, Vinny Yuliani; Yanova, Shally; Gusmanely Z, Gusmanely Z
Global Education Journal Vol. 3 No. 1 (2025): Global Education Journal (GEJ)
Publisher : Civiliza Publishing, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/gej.v3i1.295

Abstract

Tourism activities are a necessity for individuals and communities because they provide a refreshing impact, both physically and spiritually. One tourism activity that can bring humans closer to nature and the Creator is ecotourism or ecological tourism. This study aims to analyze the factors influencing public perceptions and preferences in Jambi Province towards Ecological Tourism during the Covid-19 Pandemic, spanning the initial pandemic period, PSBB, PPKM, New Normal, and post-pandemic. This research method uses a quantitative approach with primary data from a survey in the form of questionnaires distributed to the community, which data analysis uses SEM-PLS assisted by Smart-PLS software. The results of this study suggest that based on the SEM-PLS path diagram, the path coefficients indicate that all aspects of visitor assessments of ecological tourism destinations in Jambi Province need to be improved, especially related to tourist destination cleanliness, ecological tourism accessibility, tourist attractions, and infrastructure conditions. Therefore, good cooperation between the community and the government is highly recommended in the management of ecological tourism areas in Jambi Province.
Village Potential Statistics (PODES): Visualization of Schools in Jambi Province with Statistical Programming (R) Mubarak, Fadhlul; Aslanargun, Atilla; Sundara, Vinny Yuliani
DEMOS: Journal of Demography, Ethnography and Social Transformation Vol. 2 No. 2 (2022): Journal of Demography, Etnography and Social Transformation
Publisher : LPPM UIN SULTHAN THAHA SAIFUDDIN JAMBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/demos.v2i2.1333

Abstract

One of the primary data that can be used in research is village potential statistics (PODES). The data was obtained based on research in a certain period by the Statistics Indonesia (BPS). This study aims to visualize the percentage of schools in each city/district in Jambi Province using R programming based on PODES data in 2014 and 2019. In this study, we not only visualize but also how to build attractive graphics and arrange them starting from windows, graphic size, dimensions, color, horizontal axis, vertical axis, and others. Of course, the graph produced in this study is different from the basic plot found in the R program, although the process carried out is also more complicated. From 2014 to 2019, in general, within a period of 5 years there has been an increase in the number of schools in each city/district in Jambi Province. However, from the university level, the number decreased. In 2014 the number of universities in Jambi City was 32 but in 2019 the number decreased to 24. There are even interesting things in Kerinci and Tebo district. In 2014 there were no universities listed, while in 2019 there were 3. This also affects the percentage of education level in each city/district.
Integrasi Kearifan Lokal dalam Pembelajaran Matematika: Pengembangan Video Transformasi Bangun Geometri dengan Motif Batik Incung Kerinci Tiara Defistri; Vinny Yuliani Sundara; Muslimahayati Muslimahayati
JNPM (Jurnal Nasional Pendidikan Matematika) Vol 9 No 3 (2025)
Publisher : Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jnpm.v9i3.10122

Abstract

Penelitian ini dilatarbelakangi oleh rendahnya hasil belajar matematika peserta didik, khususnya dalam materi transformasi geometri. Salah satu penyebabnya adalah kurangnya media pembelajaran interaktif yang relevan dengan budaya lokal, sehingga peserta didik kesulitan memahami konsep secara kontekstual. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan dan menilai kelayakan, kepraktisan, serta keefektifan video pembelajaran berbasis etnomatematika dengan menggunakan motif Batik Incung Kerinci.  Penelitian ini menggunakan metode Research & Development (R&D) dengan model pengembangan ADDIE yang mencakup tahap Analisis, Desain, Pengembangan, Implementasi, dan Evaluasi. Instrumen penelitian meliputi angket validitas, angket kepraktisan, angket respon guru dan peserta didik, serta lembar tes. Data dianalisis menggunakan skala Likert.  Hasil validasi menunjukkan bahwa video pembelajaran yang dikembangkan memiliki kategori "Sangat Valid" dari ahli materi (92,8% dan 87,1%), ahli media (94%), serta ahli bahasa (98% dan 94%). Kepraktisan video dinilai "Sangat Praktis" oleh guru (90%) dan "Praktis" oleh peserta didik (93,5% dan 90,1%). Selain itu, hasil tes menunjukkan seluruh peserta didik mencapai ketuntasan belajar dengan kategori "Sangat Efektif". Dengan demikian, temuan penelitian ini menunjukkan bahwa video pembelajaran berbasis etnomatematika efektif dalam meningkatkan hasil belajar peserta didik dan sangat sesuai digunakan dalam pembelajaran matematika yang kontekstual dan bermakna.
Penerapan Regresi untuk Prediksi Skor TOEFL(Studi Kasus: Pengabdian Masyarakat melalui TOEFL Prediction Test) Fadhlul Mubarak; Vinny Yuliani Sundara; Nurniswah Nurniswah; Fakhrur Razi
Jurnal Pengabdian Masyarakat Indonesia (JPMI) Vol. 2 No. 2 (2024): Desember
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jpmi.v2i2.2559

Abstract

Test of English as a Foreign Language atau sering dikenal dengan istilah TOEFL adalah salah satu bentuk tes untuk mengetahui kemampuan Bahasa Inggris seseorang. Tes tersebut mengidentifikasi beberapa kemampuan diantaranya listening, structure, witten expression, reading, dll. Model regresi dapat diterapkan pada prediksi TOEFL prediction test. Skor listening dapat diprediksi dari banyaknya soal listening yang benar dikali 0,74 kemudian ditambahan 31,41. Selanjutnya untuk skor structure and written expression dapat diprediksi dari banyaknya soal structure and written expression yang benar dikali 0,93 yang kemudian ditambahkan 31,24. Setelah itu skor reading dapat diprediksi dari banyaknya skor reading yang benar dikali 0,72 kemudian ditambahkan 31,40. Total prediksi skor TOEFL prediction test adalah hasil penjumlahan skor listening, structure and written expression, dan reading. Skor tersebut kemudian dikali 10 lalu dibagi 3. Sehingga total skor TOEFL prediction test berada antara 310-677.
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.
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 Ahmad Syukron Prasaja Ainun Mardia Ainun Mardia Ali Usmar Aslanargun, Atilla Atilla Aslanargun Atilla Aslanargun Betri Wendra Bunga Mardhotillah Della Amrina Yusra Fakhrur Razi Germansah Germansah Gusmanely Z, Gusmanely Z Husni El Hilali M. Yunus Mardhotillah, Bunga Mardia, Ainun Marni Zulyanty, Marni Mubarak, Fadhlul Muslimahayati, Muslimahayati Nurniswah Nurniswah Nurniswah Nurniswah Nurniswah Nurniswah, Nurniswah Panji Jiblathar Rapiko Rapiko Rini Warti Riri Oktari Ulma Tiara Defistri Titin Agustin Nengsih Urwawuska Ladini Usmar, Ali Yanova, Shally Zawaqi Afdal Jamil