Article Per Year (5 Year)
p-Index From 2020 - 2025
0.751
P-Index
This Author published in this journals
All Journal JISIP: Jurnal Ilmu Sosial dan Pendidikan Jurnal Abdi Insani Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Journal of Information Systems and Technology Research
Rahman, Arifan
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Optimalisasi Penilaian Kinerja Pegawai Baznas Kota Padang Melalui Aplikasi SPK Metode TOPSIS Berbasis Web Budy Satria; Wahyudi, Wahyudi; Rahman, Arifan; Hadi Wijaya, Anggi; Dinilhak, Afdhal; Nurfiah, Nurfiah; Khairi, Luthfil; Dwi Asti, Ajeng; Eka Putri, Rahmi; Derisma, Derisma; Sakinah, Putri; Zamora, Sasya; Azizah, Tiara
JDISTIRA - Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Vol. 5 No. 2 (2025)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jdt.v5i2.1534

Abstract

Baznas Kota Padang memiliki peran strategis dalam pengelolaan zakat, infak, dan sedekah yang menuntut kinerja pegawai yang profesional dan akuntabel. Namun, sistem penilaian kinerja yang digunakan saat ini masih manual belum terintegrasi secara digital. Kegiatan PkM ini bertujuan untuk membuat aplikasi penilaian kinerja pegawai berbasis web. Aplikasi dibuat menggunakan model Sistem Pendukung Keputusan metode TOPSIS dengan beberapa tahapan yaitu Mengumpulkan data alternatif, data kriteria yang diberi nilai bobot, data sub kriteria, data penilaian seluruh alternatif, data perhitungan dan hasil akhir. Kegiatan ini dilakukan dalam beberapa tahap: pra-persiapan, persiapan, pelaksanaan, dan evaluasi.  Hasil kegiatan yang diperoleh adalah Mitra PkM menjadi lebih mudah melakukan penilaian dan aplikasi mendukung pencapaian target kinerja lembaga dengan adanya aplikasi berbasis web didukung dengan hasil evaluasi melalui pengisian kuesioner bahwa responden memberikan nilai 77,8%. Kesimpulan akhir adalah diharapkan program PkM ini dapat terus berkelanjutan, sehingga Baznas Kota Padang bisa bertransformasi menuju evaluasi kinerja pegawai yang lebih terstruktur dengan dukungan aplikasi.
Digitalization of Rural Water Management: Android-Based Billing for Community Systems using the ADDIE model Nurfiah, Nurfiah; Dinilhak, Afdhal; Khairi, Luthfil; Satria, Budy; Hadi Wijaya, Anggi; Dwi Asti, Ajeng; Rahman, Arifan
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1135

Abstract

The integration of information technology in everyday life has changed the way people work, learn, socialize, make transactions, and make decisions. The use of Android-based smartphones is a real example of the use of technology. Android, which is open-source, has encouraged the development of applications widely according to need. Access to water is a fundamental human right. PAMSIMAS is a flagship program of the regional and central governments that seeks to meet water needs through the provision of clean water services in line with the Sustainable Development Goals (SDGs). In Durian Seribu Village, PAMSIMAS is a service to meet the water needs of the community and become a solution for rural communities to get clean water at low cost, but its management is still manual, such as recording water usage and billing, so it is inefficient, time-consuming, and prone to errors. From these problems, this study proposes the development and implementation of an Android application designed to simplify the recording and billing process for the PAMSIMAS program in Durian Seribu Village. This application aims to simplify management, increase data transparency, and simplify reporting. The results of tests that have been carried out using the black box method show that this application can facilitate officers in recording and billing payments for PAMSIMAS water usage. Officers only need to enter the total water usage, and the application will automatically calculate and print a receipt as proof of payment. Officers also do not need to calculate manually when reporting the total payment to the administrator. For administrators, this application makes it easier to monitor and evaluate the performance of recording officers. After the application was used for recording and billing, PAMSIMAS's revenue increased by around 30% from the revenue before using the application.
MENINGKATKAN KEMAMPUAN PELAKU UMKM DI ERA DIGITALIASI MENGGUNAKAN LEARNING MANAGEMENT SYSTEM (LMS) DI PLUT KUMKM SUMATARA BARAT Nurfiah, Nurfiah; Wahyudi, Wahyudi; Putri, Rahmi Eka; Derisma, Derisma; Satria, Budy; Khairi, Luthfil; Wijaya, Anggi Hadi; Dinilhak, Afdhal; Rahman, Arifan; Asti, Ajeng Dwi; Arifnur, Adi Arga; Sakinah, Putri; Syauqi, Muhammad Dawi; Putri, Sherly Ananda; Rahmi, Siti Fadhilah
Jurnal Abdi Insani Vol 12 No 7 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i7.2692

Abstract

PLUT KUMKM West Sumatra acts as a pioneer in supporting the development of MSMEs and Cooperatives through various services, including the field of human resources through training. Implementation of training that has limitations in reach and effectiveness. The main obstacle is the limited distance and time for MSME actors in remote areas and difficulty in monitoring and evaluating training. In the digitalization era, the application of Learning Management System (LMS) can be a solution to increase training flexibility and efficiency. This community service aims to develop LMS to facilitate training management, expand the reach of participants, and increase the effectiveness of training for MSMEs. LMS is designed using WordPress CMS with several additional plugins such as LMS tutors for material management, quizzes, and certificates, and WooCommerce plugins for participant registration management using a free coupon system. Development methods include needs analysis, system design, implementation, and trials. The LMS developed allows training to be carried out flexibly unlimited space and time as long as it has internet access, structured, and measurable. Features such as material management, online evaluation, and registration using coupons facilitate administration and increase the participation of MSME actors in all regions of West Sumatra. Utilization of LMS is effective in overcoming conventional training limitations because it does not have to be done face to face. By using LMS, PLUT KUMKM can expand the reach of training to regions, improve the quality of assistance, and support the acceleration of MSME digitalization in West Sumatra to develop, grow, and adapt in line with the development of the digital world.
Deep Neural Network for Speaker Identification Using Static and Dynamic Prosodic Feature for Spontaneous and Dictated Data Rahman, Arifan; Wibowo, Wahyu Catur
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 5, No 4 (2021): JISIP (Jurnal Ilmu Sosial dan Pendidikan)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jisip.v5i4.2279

Abstract

We can recognize a person by his voice alone. In principle, the sound has a tone (pitch) that is different for each person. This study aims to measure a Deep Neural Network (DNN) performance with static and dynamic prosodic features. Prosodic is information about sound related to tone, intonation, pressure, duration, and rhythm of a person's pronunciation. The data used is dictated and spontaneous voice data that taken from YouTube. The data used consists of three male voices and one female voice. The data is segmented into various duration, 3 seconds, 5 seconds, and 10 seconds. After the data has been segmented, the static prosodic features with 103 dimensions will be extracted and the dynamic prosodic features with 13 dimensions will be extracted too. Each feature and feature combination will be trained and tested using DNN with a ratio of 90:10. The result shows that the 10 seconds segmented data has higher accuracy than the others. Accuracy of static prosodic features is better than dynamic prosodic features. The average accuracy of DNN for static prosodic features is 87.02%. The average accuracy of DNN for dynamic prosodic features is 72.97%. The average accuracy of DNN for combined static and dynamic prosodic features is 87.72%.
Co-Authors Anggi Hadi Wijaya Adi Arga Arifnur Afdhal Dinilhak Asti, Ajeng Dwi Azizah, Tiara Budy Satria Dwi Asti, Ajeng Khairi, Luthfil Nurfiah Putri, Sherly Ananda Rahmi Eka Putri Rahmi Eka Putri, Rahmi Eka Rahmi, Siti Fadhilah SAKINAH, PUTRI Syauqi, Muhammad Dawi Wahyu Catur Wibowo Wahyudi Wahyudi Wahyudi Zamora, Sasya