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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 IIJSE Prosiding Seminar Nasional Unimus Jurnal Research Ilmu Pertanian BAABU AL-ILMI: Ekonomi dan Perbankan Syariah
Devianto, Dodi
Department Of Mathematics And Data Science, Andalas University
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Good Amil Governance in Zakat Management in West Sumatra Elvira, Rini; Yaswirman, Yaswirman; Effendi, Nursyirwan; Devianto, Dodi
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 7 No 1 (2024): 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.v7i1.4314

Abstract

Good Amil Governance is needed in the management of zakat. The performance of zakat management by all BAZNAS in West Sumatra during the 2021-2022 period is still quite good. This performance needs to be improved by paying attention to the application of good amil governance in zakat management. The purpose of this study is to evaluate the extent of the application of good amil governance in zakat management, and the extent to which the relationship can be measured. The research uses a mixed-methods approach. Data collection techniques used documentation, questionnaires, and in-depth interviews. Data sources come from secondary, and primary data. The object of research is all BAZNAS in West Sumatra Province with 193 amil zakat respondents selected by total sampling technique. Qualitative descriptive analysis describes the extent of the implementation of good amil governance in zakat management, and regression analysis measures the relationship between the two. The research findings explain the application of good amil governance in the management of zakat in all BAZNAS in West Sumatra is quite good with a value of 0.42 (42%). Both have a positive influence relationship with a value of 45.7%, and the rest is influenced by other variables such as the availability of financial resources, the level of technology use, the level of muzzaki trust in zakat institutions, and local cultural values. This research provides an understanding of the importance of implementing good amil governance in zakat management to achieve goals.
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. 
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.
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 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 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