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All Journal Teknika Jurnal Gaussian Jurnal Informatika Mandalika Mathematics and Educations Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Pengabdian Masyarakat Asia JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Nusantara Hasana Journal Jurnal Pengabdian Masyarakat Bangsa Journal of Community Service in Science and Engineering RENATA Jurnal Pengabdian Masyarakat Kita Semua TeknoKreatif: Jurnal Pengabdian kepada Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS) Indonesian Actuarial Journal
Rivai, Muklas
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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN DOMESTIK REGIONAL BRUTO (PDRB) DI SUMATERA UTARA DENGAN PENDEKATAN REGRESI DATA PANEL Rosni, Rosni; Rivai, Muklas; Nainggolan, Lorena Ulitara
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 6 No. 1 (2025): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v6i1.926

Abstract

Gross Regional Domestic Product (GRDP) is an indicator in measuring the economic growth of a region. In this research, the aim is to analyze the factors that influence GRDP in North Sumatra in 2012-2023 using the panel data regression method. Panel data regression analysis is a statistical method that combines time series and cross-section data to capture dynamics over time and differences between regions more comprehensively. The independent variables analyzed include Per Capita Expenditure, Original Regional Income (PAD), Population Density, Education Level, and Poverty Level. The selection of the best regression model was carried out through the Chow Test and Hausman Test, which showed that the Fixed Effect Model (FEM) was the most appropriate model. And it was found that the variables PAD, Education Level, and Poverty Level had a significant influence on GRDP, while Per Capita Expenditure and Population Density did not have a partially significant influence.
Literasi Pemanfaatan Software JASP Untuk Meningkatkan Keterampilan Statistik Guru di MAN 1 Bandar Lampung Andirasdini, Indah Gumala; Sofia, Ayu; Rivai, Muklas; Mahrani, Dwi; Yulita, Tiara; Irwan, Sri Efrinita; Berliana Ratam, Aldila Nur Indah; Gustina K.S., Annisa Hevita; Dewi, Karina Sylfia; Marisa, Marisa; Azzanina, Nanda; Baiti, Putri Isnaini Cahyaning; Rosni, Rosni
RENATA: Jurnal Pengabdian Masyarakat Kita Semua Vol. 3 No. 1 (2025): Renata - April 2025
Publisher : PT Berkah Tematik Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61124/1.renata.147

Abstract

Guru sebagai agen perubahan memiliki peran strategis dalam mengembangkan literasi digital di lingkungan kerja. Salah satu aspek penting dalam literasi digital adalah kemampuan dalam memanfaatkan teknologi dan aplikasi digital untuk mendukung proses pembelajaran dan pengolahan data. Pemanfaatan software JASP (Jeffreys's Amazing Statistics Program) menjadi salah satu cara efektif bagi guru untuk meningkatkan keterampilan statistik seperti mengolah dan menganalisis data. Dengan memanfaatkan JASP, guru dapat melakukan analisis statistik secara intuitif dan efisien, sehingga memudahkan dalam mengajarkan konsep-konsep statistik kepada siswa. Pengabdian dalam bentuk literasi pemanfaatan software JASP ini didasari oleh kebutuhan mendesak akan kemampuan memahami analisis data yang efektif di kalangan pendidik, mengingat pentingnya pengolahan data dalam proses pembelajaran dan evaluasi. Metode yang digunakan dalam pengabdian ini meliputi pelatihan intensif dan workshop yang dirancang untuk memperkenalkan fitur-fitur utama JASP, termasuk analisis statistik dasar hingga lanjutan. Peserta diberikan kesempatan untuk langsung mempraktikkan penggunaan software sehingga diharapkan dapat meningkatkan pemahaman dan keterampilan. Hasil dari kegiatan ini menunjukkan peningkatan kemampuan guru yang signifikan dalam mengolah dan menganalisis data. Hal ini ditunjukkan dari hasil pre-test dan post-test yang dilakukan sebelum dan sesudah kegiatan. Kegiatan pengabdian ini tidak hanya memberikan pengetahuan baru, tetapi juga membangun kepercayaan diri para guru dalam menggunakan teknologi untuk mendukung pengajaran. Kesimpulan dari pengabdian ini menekankan pentingnya pelatihan berkelanjutan dalam literasi data untuk meningkatkan kualitas pendidikan
ANALISIS FAKTOR YANG MEMPENGARUHI KESEHATAN KEUANGAN PERUSAHAAN ASURANSI PRUDENTIAL Ratam, Aldila Nur Indah Berliana; Azzanina, Nanda; Rivai, Muklas; Selvira, Natalia Aisa; Lase, Marie Vivien; Rohmah, Iffah Nurul; Situmorang, Anita Grace Pretty; Rinaldi, Fanny Dwi Putri; Antika, Siluh Putu Dela; Nadeak, Natasha Putri
Nusantara Hasana Journal Vol. 5 No. 3 (2025): Nusantara Hasana Journal, August 2025
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v5i3.1595

Abstract

The financial health of an insurance company is a crucial aspect that must be ensured to maintain its ability to manage risks. The insurance industry plays a significant role in economic growth through risk transfer mechanisms. This study aims to analyze the factors influencing the financial health of Prudential Insurance Company during the 2023–2024 period. The method used is factor analysis, a multivariate statistical method designed to identify the underlying structure among financial variables. The analysis results show that two main factors explain 99.2% of the data variance. The first factor is influenced by premium income (X1), claims and benefits paid (X2), and operating expenses (X5). The second factor is influenced by technical reserves (X3) and investment income (X4). These findings highlight the importance of managing premiums, improving operational efficiency, controlling claims, and optimizing assets and investments to maintain the company's financial health. With the right approach, Prudential is expected to maintain its financial stability and competitive position in the insurance industry.  
Pelatihan Pembuatan Laporan Keuangan Pelaku Usaha Mikro, Kecil, Dan Menengah (UMKM) Di Desa Badran Sari Julianty, Dila Tirta; Listiani, Amalia; Lestari, Fuji; Sofia, Ayu; Rivai, Muklas; Mahrani, Dwi; Fitriawati, Andi
RENATA: Jurnal Pengabdian Masyarakat Kita Semua Vol. 3 No. 3 (2025): Renata - Desember 2025
Publisher : PT Berkah Tematik Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61124/1.renata.140

Abstract

Hingga saat ini terdapat sekitar 15 Usaha Mikro, Kecil, dan Menengah yang ada di Desa Badran Sari. Kegiatan usaha yang dilakukan oleh UMKM tidak terlepas dari transaksi keuangan baik transaksi masuk maupun keluar. Apabila transaksi tersebut diolah dengan baik maka dapat menghasilkan laporan keuangan yang tepat untuk berbagai periode waktu. Dengan adanya laporan keuangan yang tepat, maka bisa didapatkan informasi yang tepat mengenai kondisi keuangan dari suatu usaha sehingga bisa membuat keputusan yang tepat untuk masa yang akan datang. Dengan rendahnya kemampuan masyarakat desa dalam mengolah informasi sehingga menjadikan para pelaku UMKM tidak dapat memanfaat informasi keuangan yang mereka miliki sebagai dasar dalam pengambilan keputusan dan pengembangan usahanya. Oleh karena itu perlu diadakannnya suatu pelatihan terkait pembuatan laporan keuangan untuk meningkatkan kemampuan masyarakat Desa Badran Sari yang memiliki UMKM sehingga tercapainya masyarakat informasi dan berbasi pengetahuan. Hal ini diharapkan dapat meningkatkan ukuran usaha UMKM dan meningkatkan kegiatan perekonomian di Desa Badran Sari, Kecamatan Punggur, Kabupaten Lampung Tengah. Setelah dilaksanakannya pelatihan mengenai penyusunan laporan keuangan, jumlah peserta yang memiliki tingkat pemahaman rendah mengalami penurunan dari semula 68,18% menjadi 36,36% dan jumlah responden dengan tingkat pemahaman sedang mengalami peningkatan lebih dari dua kali lipat dari semula 27,27% menjadi 59,09%
Klasterisasi Penyakit pada Data Klaim Rujukan Tingkat Lanjut BPJS Kesehatan Menggunakan Algoritma Density-Based Spatial Clustering of Application with Noise Rivai, Muklas; Huda, Misbahul; Rosni; Dewi, Karina Sylfia
Jurnal Informatika Vol 25 No 2 (2025): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

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

Abstract

Over time and with the advancement of technology, an increasing number of disease-claim submissions have been received by Badan Penyelenggara Jaminan Sosial (BPJS) for Health, causing data accumulation to the point that the dataset can now be categorized as Big Data. One of the challenges of Big Data is that it cannot be processed using conventional methods, thus requiring specialized approaches such as data clustering. The purpose of this study is to determine the optimal number of clusters and to analyze the characteristics of the cluster groups. The type of data used is secondary data obtained from the BPJS Health database. The data used consists of claim data from Fasilitas Kesehatan Rujukan Tingkat Lanjutan (FKRTL) under BPJS Health from January 2019 to December 2020. The variables used include childbirth, accidents, catastrophic diseases, and other diseases. The stages of the clustering process include data normalization, parameter determination, application of the Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm, and evaluation of cluster results using the silhouette index. The results of the clustering analysis on FKRTL claim data based on the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10), show that there are three clusters and one noise cluster, with an average silhouette index of 0.6595942, indicating that the model has a medium structure. Cluster 1 consists of two members with dominant claim categories being accidents and other diseases, cluster 2 consists of 27 members with childbirth as the dominant claim category, cluster 3 consists of four members with catastrophic diseases and other diseases as the dominant claim categories, and the noise cluster consists of one member with childbirth as the dominant claim category.
Empowering the Community of Kubangsari Village, Cilegon City, through Innovation in Processing Corn into Corn Syrup as an Effort to Increase Local Economic Income Sholihin, Miftahus; Sari, Putri Dina; Abdullah, Syarif; Wicaksono, Agung Satrio; Erda, Gustriza; Rivai, Muklas; Anwaar Al'Fathoni, Muhammad Khoirul; Lidyasari, Nadia Bintang
Journal of Community Service in Science and Engineering (JoCSE) Vol 5, No 1 (2026): Available Online in April 2026
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jocse.v5i1.39911

Abstract

The majority of the community in Kubangsari Village, Cilegon City, are farmers and factory workers, with approximately 20% of the population directly dependent on the corn farming sector. Traditionally, corn harvests have been sold raw at prices around IDR 8,000, leaving farmers vulnerable to economic fluctuations, particularly during the rainy season when fields are prone to flooding. This community service program aims to empower the Kubang Lestari Women Farmers Group (KWT) through the innovation of processing purple corn into a functional health beverage named JAJANTAN (Jahe Jagung Anti Oksidan/Ginger Corn Antioxidant). The implementation method spanned one month, involving field surveys, direct production workshops, and assistance in packaging and halal certification. The results demonstrated a significant increase in the added value of agricultural commodities; raw corn was transformed into a ready-to-sell bottled beverage priced at IDR 10,000 per unit, with a production cost of IDR 7,000. This mentorship has successfully increased public knowledge regarding food product diversification and opened opportunities for the development of local Micro, Small, and Medium Enterprises (MSMEs), with full support from the local village government.
Implementation of Amortization and Sinking Fund in Financial Literacy Education to Prevent Online Loan Traps Among Students of MAN 1 Bandarlampung Indah Gumala Andirasdini; Fuji Lestari; Dila Tirta Julianty; Muklas Rivai
Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2026): Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v7i1.2837

Abstract

Purpose: This community service initiative aims to strengthen students’ financial literacy by introducing key concepts such as amortization tables and sinking fund strategies. A significant proportion of students exhibit limited understanding of high-interest debt structures and lack essential personal financial management skills. The concept of amortization was introduced to demystify loan repayment mechanisms, while the sinking fund approach was presented as a disciplined strategy for long-term saving and financial goal achievement. Method: The program was implemented through a series of interactive socialization sessions, hands-on educational activities, and simulation workshops. Students actively developed amortization schedules and sinking fund models, enabling them to apply theoretical knowledge in practical contexts. To measure the impact, pre-test and post-test questionnaires were administered to assess improvements in students’ comprehension of financial principles. Practical Applications: The program successfully produced a range of accessible educational resources, including learning modules, student-friendly booklets, and digital Excel templates. These tools empower students to independently simulate loan repayment scenarios and savings plans, promoting self-reliance and informed financial decision-making. Conclusion: The results demonstrated a marked improvement in students’ financial literacy, with scores increasing from an average of 5.67 to 8.00. The integrated, experiential approach not only enhanced understanding but also fostered greater financial resilience among youth, equipping them with the knowledge to avoid predatory online lending practices that are increasingly common among students today.
Modelling Extreme Stock Market Risk with Peaks Over Threshold-Value at Risk and APARCH Specifications Aulia Khairani Hutabarat; Ayu Sofia; Muklas Rivai
Journal of Mathematics, Computations and Statistics Vol. 9 No. 2 (2026): Volume 09 Issue 02 (June 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/Jmathcos11387

Abstract

The capital market plays an important role in a country's economy. Through the capital market, investors can also grow their wealth by investing in stocks, bonds, or other instruments. Investing in stocks in the capital market has high profit potential, but also carries significant volatility risks. One company that experienced significant volatility was PT Indofood Sukses Makmur Tbk., as in 2020 when the COVID-19 pandemic caused extreme volatility in global and local markets. Therefore, risk management is necessary to minimize risks using the Value at Risk method.This study also aims to analyze the risk of investing in PT Indofood Sukses Makmur Tbk. shares using the VaR method with APARCH modeling and the POT approach. The data used are daily closing prices from March 2020 to June 2025. The results show that the best model for forecasting is APARCH(1,1) with a better forecasting accuracy than the naive forecast, as indicated by the MASE value of 0,6131. The VaR estimate indicates that the longer the forecasting period and the higher the confidence level used, the higher the VaR value. This indicates that the extreme risk is higher for the next ten periods. The validity test (backtesting) also confirms that the VaR estimation results are accurate for the long term at a significance level of 1%, 5% and 10%.
Segmentasi Kecamatan di Kota Bandung Berdasarkan Statistik Penyandang Disabilitas Menggunakan Algoritma K-Means Clustering Rosni Rosni; Erinna Fredella; Muklas Rivai
Mandalika Mathematics and Educations Journal Vol 8 No 1 (2026): Edisi Maret
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v8i1.11430

Abstract

People with disabilities continue to experience discrimination, stigmatization, and unfulfilled rights. The number of people with disabilities in Bandung City is the second highest in West Java Province. Various factors, including a disability-unfriendly environment, lack of accessibility to public infrastructure, and insufficient social support. This study aims to analyze and segment subdistricts in Bandung City based on disability statistics using the K-Means clustering algorithm. The types of disabilities analyzed include mental disabilities, physical disabilities, physical and mental disabilities, visual impairments, hearing impairments, and other types of disabilities. The results of the study showed that the optimal number of clusters, as determined by the Elbow method, is 2 clusters. A total of 18 subdistricts are classified into Cluster 1, characterized by a relatively lower number of persons with disabilities, while the remaining 12 subdistricts are classified into Cluster 2, which has a relatively higher number of persons with disabilities. The results of this segmentation are expected to support the realization of Bandung City as an inclusive city and to assist the government in developing more targeted policies and programs.
Analisis Klaterisasi Perubahan Iklim di Indonesia Menggunakan K-Means Tahun 2023 Muklas Rivai; Rosni Rosni; Nasrullah Bachtiar
Mandalika Mathematics and Educations Journal Vol 8 No 2 (2026): Edisi Juni
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v8i2.11817

Abstract

Perubahan iklim global memberikan dampak signifikan terhadap pola cuaca di Indonesia, memengaruhi sektor penting seperti pertanian, perikanan, kesehatan, dan ekonomi. Untuk menganalisis data iklim yang kompleks, metode klasterisasi K-Means digunakan guna mengidentifikasi pola cuaca serupa, yang bermanfaat bagi mitigasi bencana, perencanaan sumber daya, dan pengelolaan iklim secara lebih efektif. Data yang digunakan mencakup kecepatan angin, Kelembapan, dan curah hujan dari 34 provinsi di Indonesia pada tahun 2023. Berdasarkan analisis metode silhouette, ditemukan bahwa jumlah klaster optimal adalah dua. Klaster pertama meliputi 15 provinsi seperti Sumatera Utara, Jambi, Papua Barat dan lainnya. Karakteristik kluster pertama yaitu kecepatan angin rendah, Kelembapan tinggi, dan curah hujan tinggi. Kondisi ini dipengaruhi oleh lokasi geografis tropis, pola angin muson stabil, topografi (lembah, hutan, atau pegunungan), serta kedekatan dengan sumber uap air. Klaster kedua Terdiri dari 19 provinsi seperti Aceh, Jawa Timur, Nusa Tenggara Barat dan lainnya. Karakteristik klister kedua yaitu memiliki kecepatan angin tinggi, Kelembapan rendah, dan curah hujan rendah. Faktor geografis seperti wilayah terbuka, angin muson kering, dan jarak dari sumber Kelembapan utama. Hasil penelitian ini diharapkan dapat membantu perencanaan dan mitigasi bencana terkait pola cuaca di Indonesia.
Co-Authors Agnes Monika Simalango Agus Irawan Aldila Nur Indah Berliana Ratam Amalia Listiani Andi Fitriawati Andi Fitriawati Annisa Hevita Gustina Kumalasari Saefulloh Antika, Siluh Putu Dela Anwaar Al'Fathoni, Muhammad Khoirul Aulia Khairani Hutabarat Ayu Sofia Azzanina, Nanda Baiti, Putri Isnaini Cahyaning Berliana Ratam, Aldila Nur Indah Dani Al Mahkya Desta Saputra Dila Tirta Julianty Dwi Mahrani Erica Grace Simanjuntak Erinna Fredella Fuji Lestari Fuji Lestari Gustriza Erda Indah Gumala Andirasdini Irwan, Sri Efrinita Karina Sylfia Dewi Lase, Marie Vivien Lidyasari, Nadia Bintang Listiani, Amalia Marisa Marisa Ma’rufah Hayati Miftahul Irfan Miftahus Sholihin Misbahul Huda Moh. Bayu Mulya Ali K.M Nadeak, Natasha Putri Nainggolan, Lorena Ulitara Nasrullah Bachtiar Nasrullah Nasrullah Nora Madonna Ongky Setya Nugraha Putri Dina Sari Rinaldi, Fanny Dwi Putri Rohmah, Iffah Nurul Rosni, Rosni Selvira, Natalia Aisa Septia Eka Marsha Putra Situmorang, Anita Grace Pretty Syarif Abdullah Wicaksono, Agung Satrio Yulita, Tiara