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All Journal Media Statistika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Statistika Universitas Muhammadiyah Semarang CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Antropologi: Isu-Isu Sosial budaya Jurnal Sains Matematika dan Statistika Science and Technology Indonesia AGRISAINTIFIKA Jurnal Ilmu-ilmu Pertanian JURNAL GALUNG TROPIKA Jurnal Matematika: MANTIK Jurnal Elementer (Elektro dan Mesin Terapan) Desimal: Jurnal Matematika Syntax Literate: Jurnal Ilmiah Indonesia BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) International Journal of Supply Chain Management JURNAL AGRIBISAINS Eksakta : Berkala Ilmiah Bidang MIPA M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Jurnal Matematika UNAND Journal of Applied Engineering and Technological Science (JAETS) JAS (Jurnal Agri Sains) Jurnal Baabu Al-ilmi : Ekonomi dan Perbankan Syariah Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Jurnal Kajian Matematika dan Aplikasinya Daengku: Journal of Humanities and Social Sciences Innovation Journal of Science and Technology Lattice Journal : Journal of Mathematics Education and Applied Jurnal Ilmiah Membangun Desa dan Pertanian STATISTIKA Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika IIJSE Prosiding Seminar Nasional Unimus Jurnal Research Ilmu Pertanian BAABU AL-ILMI: Ekonomi dan Perbankan Syariah Limits: Journal of Mathematics and Its Applications
Devianto, Dodi
Department Of Mathematics And Data Science, Andalas University
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Good Amil Governance According to Zakat Core Principles: A Concept to Improve the Efficiency and Effectiveness of Zakat Management Elvira, Rini; Yaswirman, Yaswirman; Effendi, Nursyirwan; Devianto, Dodi
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 6 No 3 (2023): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v6i3.4358

Abstract

The importance of good amil governance in zakat management becomes increasingly urgent along with the complexity and size of the funds being managed. Practices involving transparency, accountability, responsibility, independence, fairness, and legal compliance are the keys to success in achieving efficiency and effectiveness in zakat management. Therefore, it is necessary to carry out further description and exploration regarding the concept of good amil governance based on zakat core principles. This research is a literature study that adopts a descriptive-exploratory qualitative approach. Secondary data sources were obtained from various literature, including journal articles, books, official reports from the BAZNAS Study Center, and government documents, as well as other relevant sources. The Systematic Literature Review (SLR) technique was utilized to optimize the data, which was then analyzed in depth using a descriptive-exploratory qualitative approach to present a comprehensive picture of the concept of good amil governance according to zakat core principles.
Analysis of Students' Satisfaction Level on iLearn Quality during COVID-19 Pandemic with WebQual 4.0 and PLS-SEM HG, Izzati Rahmi; Wulandari, Frilianda; Devianto, Dodi
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 2 (2022): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i2.7440

Abstract

Andalas University implements a Learning Management System (LMS) named iLearn as an online learning facility to carry out the learning process during the COVID-19 pandemic. This research analyzes the influence of iLearn quality on students' satisfaction levels. iLearn quality is measured by WebQual 4.0 instrument, which consists of three variables, i.e. Usability, Information Quality, and Service Interaction Quality. To analyze the relationship between the WebQual 4.0 variables and students' satisfaction, we used Partial Least Squares - Structural Equation Modeling (PLS-SEM) method. The research sample is 100 students of the Mathematics Department of Andalas University who were enrolled in iLearn. Based on data analysis, the structural equation model for the students' satisfaction level is obtained. From the model, the variables that significantly affect the Student Satisfaction Level are Usability and Service Interaction Quality, with a P-value of 0.001. In contrast, the Information Quality has a low significance in influencing students' satisfaction levels in iLearn quality with a P-value of 0.420. Improvements on iLearn quality can be made by reviewing these measured indicators. 
Space Time Permutation Scan Statistics untuk Mendeteksi Hotspot Kriminalitas di Kota Padang, Sumatera Barat Putri Bulqis Azhari; Hazmira Yozza; Dodi Devianto
Limits: Journal of Mathematics and Its Applications Vol. 19 No. 2 (2022): Limits: Journal of Mathematics and Its Applications Volume 19 Nomor 2 Edisi No
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

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

Abstract

Space time permutation scan statistics merupakan metode yang digunakan dalam mengidentifikasi kelompok daerah yang memiliki risiko tinggi ( hotspot ) atau rendah ( coldspot ) dari suatu kejadian luar biasa berdasarkan aspek ruang dan waktu. Metode ini hanya membutuhkan data kasus yaitu waktu dan lokasi untuk mendeteksi suatu kejadian tanpa membutuhkan data populasi. Pada penelitian ini, akan ditentukan hotspot kasus pencurian motor di Kota Padang, Sumatera Barat dalam periode Desember 2019 sampai dengan November 2020 dengan menggunakan data kasus harian curanmor yang bersumber dari Kepolisian Resort Kota Padang. Penelitian ini juga menggunakan data spasial dari masing-masing tempat kejadian dengan bantuan dari data satelit Goggle Earth Pro . Daerah yang signifikan secara statistik yang berpotensi menjadi hotspot diambil berdasarkan Likelihood Ratio Test (LRT) dan ditetapkan berdasarkan scanning window yang memiliki nilai LRT tertinggi dengan nilai- p < 0.05. Berdasarkan hasil analisis yang didapat dengan bantuan software SaTScan, dari 5 calon kandidat hotspot , didapat 2 hotspot yang berpusat di Padang Timur yang meliputi Padang Timur, Padang Selatan dan Lubuk Begalung dan Pauh yang meliputi Pauh, Koto Tangah dan Lubuk Kilangan.
Perencanaan Kawasan Kopi di Bengkulu (Analisis Keterlibatan Petani dan Peran Pemerintah) Fery Murtiningrum; Melinda Noer; Sri Wahyuni; Dodi Devianto
Jurnal Ilmiah Membangun Desa dan Pertanian Vol. 10 No. 1 (2025)
Publisher : Department of Agribusiness, Halu Oleo University Jointly with Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37149/jimdp.v10i1.1818

Abstract

Effective development planning is essential for achieving economic and agricultural goals, including developing coffee-growing areas. However, research on the role of farmers in this process remains limited. This study examines the planning process for coffee-growing area development in Bengkulu Province and the extent of farmer involvement in the process. The research was conducted in Kepahiang and Rejang Lebong Regencies in 2024, purposively selected as the two largest coffee-producing regions in Bengkulu. A total of 110 farmers from Kepahiang and 227 from Rejang Lebong were chosen through simple random sampling. The study analyzed variables related to the planning process, farmer empowerment through data access (including access to information, participation, inclusivity, and local institutional capacity), and community perceptions measured using a Likert scale. Findings indicate that the government plays a central role as the leading sector in coffee area development. Meanwhile, farmer groups primarily propose activities, provide data, and implement planned programs. Farmer participation mainly involves data collection and program preparation. Meetings provide equal opportunities for farmers to voice their opinions, with no restrictions on participation in group activities or discussions with agricultural offices and extension workers. Additionally, local institutions, particularly farmer groups, facilitate integrating farmers into the planning process. The study highlights the need for more substantial farmer involvement and institutional support to improve planning effectiveness and ensure sustainable coffee area development. Strengthening collaboration between government agencies, farmer organizations, and agricultural extension workers is recommended to enhance decision-making, increase inclusivity, and improve long-term development outcomes. Policies encouraging active farmer participation and institutional capacity-building will be crucial for achieving sustainable and equitable development in coffee-growing areas.
Integrating Mathematical Modeling and Deep Learning for Uncertainty-Aware Fault Diagnosis in Industrial Rotating Machinery Primawati Primawati; Ferra Yanuar; Dodi Devianto; Remon Lapisa; Fazrol Rozi; Arda Yunianta
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/a6wnmz27

Abstract

In Industry 4.0, reliable fault diagnosis is critical for minimizing downtime and preventing catastrophic failures in rotating machinery. However, conventional deep learning models often operate deterministically, lacking the ability to quantify prediction uncertainty—a limitation that hinders risk-based maintenance decisions. This study aims to develop a hybrid deep learning framework that integrates Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Bayesian inference for uncertainty-aware fault diagnosis. The model extracts spatial features from Short-Time Fourier Transform (STFT) spectrograms via CNN, models temporal dynamics from raw vibration signals via LSTM, and quantifies prediction uncertainty using Monte Carlo Dropout (T=50). Evaluated on the benchmark Case Western Reserve University (CWRU) bearing dataset with an 80/20 data partitioning under six operating conditions, the hybrid architecture achieves an accuracy of 99.14% and an F1-score of 0.9914, significantly outperforming standalone CNN (97.42%) and LSTM (84.12%) models. The integration of probabilistic inference enhances decision reliability by providing confidence estimates for each prediction. This work contributes a robust, uncertainty-aware model that effectively captures both spatial and temporal patterns, offering significant implications for safety-critical industrial predictive maintenance systems.
Modeling Classification Of Stunting Toddler Height Using Bayesian Binary Quantile Regression With Penalized Lasso Lilis Harianti Hasibuan; Ferra Yanuar; Dodi Devianto; Maiyastri Maiyastri
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 2 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i2.928

Abstract

Stunting is a child who has a height that is shorter than the age standard. One of the main indicators of stunting is a height that is lower than the standard for toddlers. Stunting in Indonesia is of great concern due to the high prevalence of stunting. Stunting children are at risk of impaired cognitive development, which will result in the development of human resources. This study aims to develop a classification model to detect stunted toddlers based on height using the Bayesian binary quantile regression method with LASSO (Least Absolute Shrinkage and Selection Operator). This method was chosen because of its ability to handle multicollinearity and variable selection problems automatically, as well as provide better estimates on non-normally distributed data. The data used in this study includes five independent variables such as age, weight at birth, gender, how to measure height and nutritional status. The results showed that independent variables that significantly affect the height of stunting toddlers can be a concern to reduce the problem of stunting in Indonesia. The results of model show that variable age, weight at birth, and nutritional status have a significant influence to classification of stunting toddler height. Indicator of model goodness is seen from the quantile that has the smallest MSE value. The model that has the smallest MSE is in quantile 0.25 with an MSE value of 0.1622.
Pemodelan Spatial Autoregressive (SAR) pada Kasus Kemiskinan di Jawa Timur Siti Maha Rani; Ferra Yanuar; Dodi Devianto
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 4 No. 3 (2026): Juni: Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v4i3.3019

Abstract

Poverty remains a complex socioeconomic challenge in East Java Province, largely due to strong inter-regional dependencies. This study aims to model poverty rates across 38 regencies/cities in East Java using a Spatial Autoregressive (SAR) approach while identifying its key driving factors. Secondary data were collected from the Central Bureau of Statistics (BPS) and analyzed using a cross-sectional spatial model with a Queen Contiguity weight matrix. The Global Moran’s I test confirms a significant spatial autocorrelation in poverty rates across regions (I = 0.2258, p = 0.0032). Based on Lagrange Multiplier tests, the SAR model performs better than the standard Ordinary Least Squares (OLS) model, achieving an R2 of 0.7837 and a lower AIC value (170.72 compared to 174.46 for OLS). Open Unemployment Rate and Per Capita Expenditure significantly affect poverty levels. Furthermore, the spatial autoregressive parameter ( = 0.2944, p-value = 0.0185) confirms a positive spatial spillover effect from neighboring areas. Practically, these findings suggest that local governments should shift toward collaborative cross-border policies rather than handling poverty in isolation.
Co-Authors Abdi Mulya Acnesya, Vivin Admi Nazra Afnanda, Afridho Afrimayani Afrimayani Ainul Mardhiyah, Ainul Almuhayar, Mawanda Amalia Dwi Putri AMALIA DWI PUTRI ANNISA RAHMADIAH Arda Yunianta Arfarani Rosalindari ARNEZDA PUTRI Arrival Rince Putri Asdi, Yudiantri Astari Rahmadita Aulia Safitri Bahri, Susila Baqi, Ahmad Iqbal Boby Canigia Bukti Ginting Cesa Febri Desti Cichi Chelchillya Candra Cichi Chelchillya Candra Cindyana Aldrifisia Cintya Mukti Citra Ariadini Chairunnisa Claudia Putri Zoelanda Darvi Mailisa Putri Defriman Djafri Delvia Alhusna Des Welyyanti Desi Susanti Dina Monica DIRAMADHONA MUTIASALISA Efendi Efendi Eka Rahmi Kahar Elfa Rafulta Elfindri, Elfindri Elisa Sri Hastuti Elsa Wahyuni Elvi Yati Ermanely Ermanely Fadila Aulia Fadila Rasyid Fadilla Nisa Uttaqi Fajriyah, Rahmatika Faldo Aditya Farhah Anggana Fazrol Rozi Fery Murtiningrum Fery Murtiningrum Fery Murtiningrum, Fery Finti Warni FITARI RESMALANI FITRI SABRINA Fitria Sarah Ginting, Yanti Mayasari Gusmanely Z Hafiz Rahman HANDIKA WAHYU VIKRANTHA Hasibuan, Lilis Harianti Hazmira Yozza Herliani Evinda Husnul Fikri Ihsan Kamal Ikhlas Pratama Sandi Irfan Suliansyah Istiqamah . Iswahyuli . Izzati Rahmi HG Jatu Visitasari Jayanti Herli Kamarni, Neng Khatimah, Havifah Husnatul Kiki Ramadani Lana Fauziah Lathifah Yulyanisa Lily Zuhrat Lita Wulandari Aeli Livia Amanda LOLANDA SYAMDENA M. Pio Hidayatullah M. Rizki Oktavian Maisan Nusa Putri Maiyastri Maiyastri, Maiyastri Majbur, Ridha Fauza maMaiyastri Maiyastri Mardha Tillah Maulini Septya Mawanda Almuhayar Mayastri Mayastri Melinda Noer Melisa Febriyana MUHAMMAD HAFANDRY Muhammad Iqbal Muhammad Qolbi Shobri Muhammad Ridho Muharisa, Catrin Mutia Yollanda Nadia Husna Nadya Risna Putri Narwen Narwen NASTHASYA, NOVALISA Nisa, Alvi Khairin Nova Noliza Bakar NOVALISA NASTHASYA Noverina Alfiany Nursyirwan Effendi, Nursyirwan NURUL AISHAH Nurwijayanti Olivia Prima Dini Partini Partini Partini Partini, Partini Primawati Primawati Puteri Bulqis Azhari Putri Bulqis Azhari Putri Permathasari Putri Permathasari Putri Putri Putri Riza Chaniago Radhiatul Husna Rahma Diana Safitri Rahmawati Ramadhan RAHMI HG, IZZATI Ramadhani, Eza Syafri Ramadhani, Nia Rasyid, Fadila Religea Reza Putri Remon Lapisa Riau, Ninda Permata Ridhatul Ilahi Ridho Pascal Willmar Ridho Saputra, Ridho Rini Elvira Riri Lestari Risma Yulia Rosi Ramayanti Rudiyanto Rudiyanto, Rudiyanto SAIDAH . Sani, Ridha Fadhila Saputri, Ovi Delviyanti SARAH SARAH Sarmada, Sarmada Selfinia, Selfinia SHINTA YULIANA Siska Dwi Kumala Siti Maha Rani Sri Meiyenti Sri Wahyuni Sri Wahyuni Suci Sari Wahyuni SUMINDANG YUZAN Surya Puspita Sari Surya Puspita Sari, Surya Puspita Syauqi, Irfan Tasya Abrari Tessy Oktavia Mukhti Tiara Shofi Edriani Tomi Desra Yuliandi ULLYA IZZATY UMMU BUTSAINATUL EL KHAIR Uqwatul Alma Wisza Uswatul Hasanah Vira Agusta Wikasanti Dwi Rahayu William Huda Willmar, Ridho Pascal WULANDARI, FRILIANDA Yanuar, Ferra Yaswirman, Yaswirman Yosika Putri Yurinanda, Sherli Zetra, Aidinil Zuardin, Aulia Zul Ahmad Ersyad Zulakmal, Zulakmal