Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Infotek : Jurnal Informatika dan Teknologi Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat)
Aswian Editri Sutriandi
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Education Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementasi Data Mining Menggunakan Algoritma Naïve Bayes Untuk Klasifikasi Penyaluran Dana Zakat Muhammad Saiful; Amri Muliawan Nur; Aswian Editri Sutriandi; Eka Puspita; B. Nadila Nuzululnisa
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28624

Abstract

Zakat is one of the pillars in Islam that aims to reduce economic disparity and assist those in need. Effective distribution of zakat requires a system capable of accurately identifying and targeting mustahik (zakat recipients). This study aims to implement data mining techniques using the Naïve Bayes Algorithm for the classification of zakat fund distribution at the National Amil Zakat Agency (BAZNAS) in East Lombok Regency. The Naïve Bayes Algorithm was chosen for its ability to predict categories based on probability and historical data. The data used is private data obtained through the financial reports of BAZNAS East Lombok Regency for the years 2022-2023, with 461 mustahik including family members, income, and economic status. There are 8 attributes used in this study. Data processing is conducted using RapidMiner software with the Naïve Bayes algorithm. The results show that the Naïve Bayes Algorithm achieved the best accuracy rate from the 3-fold validation test, amounting to 99.57% with an AUC value of 0.997%. The tests conducted provided excellent classification results. With this comprehensive and data-driven approach, it is hoped that this study can provide effective solutions to the current zakat fund distribution issues
Pelatihan Uji Kompetensi Keahlian Pada Siswa Kelas XII SMK NWDI Renco Putra, Yupi Kuspandi; Hariman Bahtiar; Yahya; Muhammad Saiful; Muh. Adrian Juniarta Hidayat; Fathurrahman; Amri Muliawan Nur; L.M.Samsu; Nurhidayati; Aswian Editri Sutriandi
Jurnal Teknologi Informasi untuk Masyarakat Vol. 2 No. 1 (2024): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v2i1.26181

Abstract

This service aims to help students improve their readiness and skills in completing the Skills Competency Test in the field of Computer and Network Engineering. The National Examination is no longer a determinant of graduation based on government regulations through the Ministry of Education and Culture which regulates policies and criteria for student graduation. Even though they no longer require national test scores, schools have full power in determining the school graduation requirements for their students, but these requirements must be in accordance with the circular issued by the Minister of Education and Culture. The target of this activity is class XII students at NWDI Renco Vocational School who are the main partners. The target and output of this activity is the development of skills in working on skills competency test questions that are skills in nature. The method used is Participatory Learning and Action (PLA). This activity is carried out by providing practical knowledge and skills. With this skills competency training, especially in the field of Computer and Network Engineering, it is hoped that it can help students prepare for skills competency tests to get maximum results and improve student competency. Keywords : Skill Competency, Vocational School, Computer and Network Engineering, Participatory Learning and Action
Co-Authors B. Nadila Nuzululnisa Bahtiar, Hariman Eka Puspita Fathurrahman L.M.Samsu Muh. Adrian Juniarta Hidayat Muhammad, Saiful Nur, Amri Muliawan Nurhidayati Yahya Yupi Kuspandi Putra