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All Journal JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Jurnal Pustaka Cendekia Pendidikan
Hartanto Satyo Nugraha
Akademi Teknologi Bogor
Computer Science & IT Education Energy Environmental Science Mathematics Other

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Penerapan Digital Board Interaktif Sebagai Media Informasi Modern di Akademi Teknologi Bogor Annas Rifai; Hartanto Satyo Nugraha; Istiqoomatun Nisaa; Skha Dhiya Nisrina
Jurnal Pustaka Cendekia Pendidikan Vol. 4 No. 1 (2026): Jurnal Pustaka Cendekia Pendidikan, Volume 4 Nomor 1, Mei - Agustus 2026
Publisher : PT PUSTAKA CENDEKIA GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/jpcp.v4i1.363

Abstract

Penelitian ini membahas pengembangan sistem Digital Board interaktif sebagai media informasi di Akademi Teknologi Bogor (AKATEK). Tujuan dari pengembangan ini adalah untuk meningkatkan fungsi Digital Board yang sudah ada dengan menambahkan fitur-fitur baru yang lebih relevan dan kekinian, seperti integrasi media sosial kampus (Instagram, YouTube, dan TikTok). Selain itu, ditambahkan juga fitur jadwal dosen dan mahasiswa, waktu shalat, serta informasi kampus lainnya yang dibutuhkan oleh civitas akademika. Dengan penambahan fitur-fitur tersebut, diharapkan Digital Board tidak hanya berfungsi sebagai papan pengumuman digital biasa, tetapi juga menjadi media informasi yang interaktif, real-time, dan menarik bagi mahasiswa maupun dosen. Proses pengembangan dilakukan menggunakan metode observasi, studi literatur, dan perancangan sistem. Hasil dari penelitian ini menunjukkan bahwa Digital Board yang dilengkapi fitur-fitur baru tersebut mampu meningkatkan efektivitas penyampaian informasi di lingkungan kampus dan menjadikan komunikasi antara kampus dan mahasiswa lebih modern serta efisien.
Klasifikasi Keluhan Pengguna Berbasis Large Language Model untuk Layanan Digital Syarifah Akmal; Salahuddin Salahuddin; Hartanto Satyo Nugraha; Sumarsid Sumarsid
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i3.2353

Abstract

The rapid growth of digital services such as e-commerce applications, digital banking, and app-based public services has significantly increased the volume of user complaints, making manual complaint classification inefficient. This study aims to develop and evaluate a Large Language Model (LLM)-based approach for classifying user complaints on digital services using a zero-shot prompting scheme. A small sample of 60 user complaints was collected and grouped into five categories: customer service, application or technical issues, payment and transaction, delivery, and data security and privacy. The research method consists of data collection, text preprocessing, labelling, LLM-based classification, and model performance evaluation. Testing on the small sample shows that the LLM was able to classify complaints with an accuracy of 86.7%, a weighted precision of 87.2%, a weighted recall of 86.7%, and a weighted F1-score of 86.8%. Most misclassifications occurred between contextually overlapping categories, namely payment or transaction and application or technical issues. The findings indicate that LLMs have strong potential as an efficient and accurate solution to support automated user complaint handling in digital services.
Co-Authors Annas Rifai Istiqoomatun Nisaa Salahuddin Salahuddin Skha Dhiya Nisrina Sumarsid Sumarsid Syarifah Akmal