Article Per Year (5 Year)
p-Index From 2021 - 2026
2.189
P-Index
This Author published in this journals
All Journal JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Teknologi Informasi dan Ilmu Komputer Cyberspace: Jurnal Pendidikan Teknologi Informasi Heca Journal of Applied Sciences Transcendent Journal of Mathematics and Applications J-SIGN (Journal Of Informatics, Information System, And Artificial Intelligence) Infolitika Journal of Data Science PESARE: Science and Engineering Service Journal The Indonesian Journal of Computer Science
Misbullah, Alim
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Library & Information Science Mathematics Medicine & Pharmacology Physics Public Health Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Penerapan Metode Human Centered Design Pada Perancangan Sistem Pengaduan Masyarakat Desa Berbasis Website Misbullah, Alim; Nazaruddin, Nazaruddin; Asma Liza, Lia; Rasudin, Rasudin; Martiwi Sukiakhy, Kikye; Muzailin, Muzailin; Farsiah, Laina; Zulfan, Zulfan
J-SIGN (Journal of Informatics, Information System, and Artificial Intelligence) Vol 1, No 02 (2023): November
Publisher : Department of Informatics, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/j-sign.v1i2.35111

Abstract

Selama ini, pengaduan masyarakat yang ingin disampaikan secara lisan pada tingkat pedesaan biasanya harus menunggu waktu yang tepat untuk bertemu aparatur desa. Selain itu, pengaduan yang telah disampaikan melalui media komunikasi daring seringnya menyulitkan apratur desa untuk menyimpan dan mengorganisir data tersebut. Pada penelitian ini, sistem informasi berbasis website akan diimplementasikan dalam membangun sistem pengaduan masyarakat desa yang dapat diakses secara daring untuk melaporkan masalah yang terjadi. Sistem pengaduan masyarakat desa dibangun dengan menerapkan metode Human Centered Design yang terdiri dari beberapa tahapan yaitu: spesifikasi konteks pengguna, spesifikasi kebutuhan pengguna, merancang sistem, dan pengujian sistem. Pengujian kualitas sistem dilakukan dengan menggunakan 2 (dua) metode diantaranya blackbox dan webqual. Dengan menggunakan webqual, pengujian sistem pengaduan masyarakat desa mendapatkan hasil yang tinggi pada skala 5 yaitu 67,19% untuk kegunaan, 64,58% untuk kualitas informasi, 62,92% untuk interaksi pengguna, dan 65,04% untuk kualitas website. Hasil pengujian sistem tersebut dapat menjadi pertimbangan awal untuk memutuskan penggunaan sistem pengaduan masyarakat desa nantinya.
Penerapan Aplikasi-Aplikasi Microsoft Office dan Google Docs dalam Upaya Peningkatan Media Pembelajaran di Madrasah Aliyah Negeri 5 Bireuen Irvanizam, Irvanizam; Misbullah, Alim; Zulfan, Zulfan; Farsiah, Laina; Subianto, Muhammad
PESARE: Jurnal Pengabdian Sains dan Rekayasa Vol 1, No 1 (2023): Oktober 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/pesare.v1i1.33833

Abstract

This community service activity aims to introduce Microsoft Office and Google Docs applications to teachers and students at Madrasah Aliyah Negeri (MAN) 5 Bireuen as an online teaching media in performing teaching and learning processes during the COVID-19 pandemic. This activity was carried out by a community service team of lecturers from the Department of Informatics, Universitas Syiah Kuala. The activity was held for three days from 2 until 4 April 2021 and consisted of two sessions. The first session introduced Microsoft Office applications for learning at the high school level. The second session demonstrates Google Docs applications for providing teaching materials. The activity participants were very enthusiastic about participating in this activity by asking lots of questions and being explained by the community service team. The result of this activity is that teachers find it very easy and quick to understand how to use these applications for their teaching and learning activities. They hope that online learning activities using the website-based Content Management System method will continue to be carried out as future works.
SISTEM REKOMENDASI PEMILIHAN PROGRAM STUDI BERBASIS HYBRID MENGGUNAKAN PENDEKATAN DEEP LEARNING Misbullah, Alim; Akbar, Mufid; Nazaruddin, Nazaruddin; Farsiah, Laina; Husaini, Husaini; Zulfan, Zulfan
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 9 No 1 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v9i1.28944

Abstract

Education plays a critical role in shaping career decisions for the future. However, many students encounter difficulties in selecting suitable academic programs, often stemming from a lack of confidence in their ability to make appropriate decisions. Consequently, students may choose study programs that do not align with their personal characteristics. This study emphasizes the importance of providing comprehensive information about various academic programs offered in higher education and developing tools to assist prospective students in making informed decisions. To address these challenges, a recommendation system using Hybrid Filtering technology has been developed. The system integrates Content-Based Filtering and Collaborative Filtering methods within the TensorFlow Recommenders System (TFRS) framework. The study utilized data from undergraduate students of the Faculty of Mathematics and Natural Sciences (FMIPA) across seven academic programs. By employing 10 features representing students' interests and talents, the recommendation system generated accurate and tailored suggestions for study programs. The model was trained and evaluated using both real and augmented (augmented) datasets with predefined hyperparameters. Results demonstrated that using only the real dataset achieved a Top-1 accuracy of 0.59 and a Top-5 accuracy of 0.97. When incorporating the augmented dataset, the Top-1 accuracy improved to 0.66, while the Top-5 accuracy reached 1.0. The findings reveal that combining real and augmented datasets enhances average accuracy by approximately 10% compared to using the real dataset alone. Additionally, the study program recommendations produced by the model showed significant improvement in quality. A web-based recommendation system utilizing the TFRS model was developed and positively evaluated by FMIPA students. User feedback indicated high satisfaction with the system's recommendations, demonstrating its effectiveness in guiding students toward suitable academic programs.
Co-Authors . Zulfan Akbar, Mufid Asma Liza, Lia At-Tharfi’in, Khairunnisa Azhar, Fauzul Bagestra, Ricky Basrul, Basrul Dharma, Dian Budi Farsiah, Laina Ghazi Mauer Idroes Hanifiah, Jessy Husaini Husaini Husaini Irvanizam, Irvanizam Kusumo, Fitranto Lala, Andi Martiwi Sukiakhy, Kikye Marwan Marwan Maulana, Aga Muhammad Rusdi Muhammad Subianto Muhammad Yusuf Mursyida, Waliam MUSLIM MUSLIM Muzailin, Muzailin N. Nazaruddin Nazhifah, Sri Azizah Nizamuddin Rahman, Isra Farliadi Rasudin, Rasudin Rinaldi Idroes SAFIRA Saifullah Sani, Muhammad Saputra, Kurnia sukiakhy, kikye martiwi Teuku Rizky Noviandy Yunardi, Dalila Husna Zahnur