Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Ilmu Syariah dan Hukum
Muzaki, Farid
Unknown Affiliation
Religion Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice

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

Found 2 Documents
Search

 1 
INOVASI PENINGKATAN PELAYANAN PARKIR MELALUI PENGGUNAAN MEMBER DAN UANG ELEKTRONIK DI UIN SYARIF HIDAYATULLAH JAKARTA Rahman, Habibur; Muzaki, Farid; Ilmi, Dahrul
Jurnal Ilmu Syariah dan Hukum (JISYAKU) Vol 2 No 2 (2023): Jurnal Ilmu Syariah dan Hukum (JISYAKU)
Publisher : Sharia Faculty of State Islamic Institute (IAIN) Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23971/jisyaku.v2i2.6853

Abstract

This article discusses the problem of large queues at the student parking exit, because the majority of the UIN Syarif Hidayatullah academic community uses both two-wheeled and four-wheeled vehicles, so they need a parking area to park their vehicles and to control vehicles. The current parking space at UIN Syarif Hidayatullah, namely the parking area next to the UIN Syarif Hidayatullah Jakarta Public Library, is insufficient. So the UIN Syarif Hidayatullah Jakarta campus uses a dual payment system. Electronic parking system (E-Parking) and also taking steps to create an electronic parking system (E-Parking) using member cards for employees and electronic money (E-Money) for students to overcome traffic jams at the exit. This research was conducted using qualitative research methods, where this research was carried out by understanding the phenomena that occurred at UIN Syarif Hidayatullah Jakarta, or observations made by the author within the UIN Syarif Hidayatullah Jakarta environment. The sources used for this research method are observation, interviews and documentation. The results of the research show that to solve the traffic jams that often occur in the UIN Syarif Hidayatullah Jakarta area when students enter the campus area or leave the campus, the campus provides a solution, namely the innovation of implementing electronic parking (E-Parking) in the hope of reducing the number of traffic jams. which occurred in the UIN Syarif Hidayatullah Jakarta area. The use of electronic parking is not a solution to reduce congestion in the UIN Syarif Hidayatullah Jakarta area because considering the limited parking space provided by UIN Syarif Hidayatullah Jakarta for parking, it would not be able to accommodate vehicles brought by students. Therefore, there are several solutions to make the UIN Jakarta parking area better, one of which is: 1. Adding more space for parking 2. Students are prohibited from bringing vehicles in the UIN Syarif Hidayatullah Jakarta area 3. Adding counters at the exit.
Penerapan Model RoBERTa Untuk Deteksi Emosi Multikelas Berbasis Teks Bahasa Inggris Muzaki, Farid; Noor Fatyanosa, Tirana; Ridok, Achmad
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 10 No 01 (2026): Januari 2026
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Perkembangan teknologi digital telah mempercepat pertumbuhan komunikasi berbasis teks, khususnya di media sosial yang menjadi ruang utama bagi pengguna dalam mengekspresikan emosi. Dalam konteks ini, deteksi emosi berbasis teks menjadi penting untuk berbagai keperluan, seperti analisis opini, sistem interaksi cerdas, dan pemantauan psikologis. Penelitian ini mengusulkan pemanfaatan model RoBERTa untuk klasifikasi emosi multikelas dalam teks berbahasa Inggris, dengan enam label utama: sadness, joy, love, anger, fear, dan surprise. Data penelitian berasal dari dataset publik dengan 20.000 entri, yang diproses melalui tahapan preprocessing dan tokenisasi. Model RoBERTa kemudian di-fine-tune dengan konfigurasi hyperparameter optimal yang diperoleh melalui proses penyetelan sistematis, termasuk pengaturan learning rate, batch size, epoch, dan weight decay. Evaluasi model dilakukan dengan metrik accuracy, precision, recall, dan F1-score, baik pada data pelatihan maupun pengujian. Hasil eksperimen menunjukkan bahwa model mampu menghasilkan klasifikasi emosi yang akurat dan stabil, serta menunjukkan performa generalisasi yang baik tanpa indikasi overfitting. Temuan ini mengonfirmasi bahwa RoBERTa merupakan model yang efektif untuk tugas deteksi emosi dalam teks dan layak dikembangkan lebih lanjut untuk aplikasi NLP berbasis kecerdasan buatan.
Co-Authors Achmad Ridok Ilmi, Dahrul Noor Fatyanosa, Tirana Rahman, Habibur