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All Journal Techno.Com: Jurnal Teknologi Informasi JUITA : Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan JAIS (Journal of Applied Intelligent System) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Jurnal ICT : Information Communication & Technology Infotekmesin Journal of Innovation Information Technology and Application (JINITA) Brahmana : Jurnal Penerapan Kecerdasan Buatan JOINT (Journal of Information Technology Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) Informatics and Digital Expert (INDEX) Jurnal Puan Indonesia Tedc Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Journal of Informatics and Electronics Engineering Journal Of Artificial Intelligence And Software Engineering Jurnal Informatika: Jurnal Pengembangan IT Scientific Journal of Informatics Journal of New Trends in Sciences
Sugianto, Castaka Agus
Politeknik TEDC Bandung
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Journal : Journal Of Artificial Intelligence And Software Engineering

 1 
Development of a Microservice-Based Attendance System with Face Recognition and QR Code at SMK Negeri 2 Cimahi Riyan, Riyan; Sugianto, Castaka Agus
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7417

Abstract

Sistem absensi manual yang masih banyak digunakan di lingkungan sekolah sering menimbulkan permasalahan, seperti ketidakefisienan proses pencatatan, potensi kecurangan kehadiran, dan keterlambatan penyampaian informasi kepada pihak sekolah maupun orang tua. Penelitian ini bertujuan mengembangkan sistem absensi digital berbasis arsitektur microservice dengan mengintegrasikan teknologi pengenalan wajah (face recognition) untuk absensi harian, pemindaian kode respons cepat (quick response code) untuk absensi per mata pelajaran, serta pengiriman notifikasi otomatis melalui WhatsAppApplication Programming Interface (API). Sistem dikembangkan menggunakan metode Waterfall melalui tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Pengujian dilakukan secara langsung dengan fokus pada pengujian fungsional terhadap fitur utama yang telah dirancang. Hasil pengujian menunjukkan bahwa seluruh fitur dapat berjalan dengan baik sesuai kebutuhan pengguna, membantu proses verifikasi kehadiran menjadi lebih cepat dan akurat, serta mempercepat penyampaian informasi ketidakhadiran kepada orang tua. Penelitian ini menunjukkan bahwa implementasi arsitektur microservice efektif dalam meningkatkan kualitas sistem absensi sekolah dan memiliki prospek untuk pengembangan lebih lanjut.
Sentiment Analysis of Netizen Opinions on TikTok Towards iPhone Using Naïve Bayes Algorithm and Support Vector Machine (SVM) Pebriana, Sela; Sugianto, Castaka Agus
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7011

Abstract

This study aims to analyze TikTok users’ sentiment toward the iPhone by utilizing TikTok comments as the primary data source. TikTok was chosen due to its high user engagement and ease of access to spontaneous public opinions. A total of 964 comments were collected and processed through a data cleaning stage. The sentiments were classified into positive and negative categories using two popular machine learning algorithms: Naïve Bayes and Support Vector Machine (SVM). This comparison was conducted to evaluate the effectiveness of each algorithm in handling local social media data, which is typically brief and unstructured. The results show that Naïve Bayes achieved an accuracy of 74%, while SVM reached 71%. These findings indicate that Naïve Bayes performs better in fast sentiment analysis of short-text public opinions and has practical potential for monitoring consumer perception and supporting efficient digital marketing strategies.
Co-Authors Aditia Gusman Aldy Noer Tjahyo Apnena, Riri Damayanti Ayu Hendrati Rahayu Candra Irawan Christy Atika Sari Dadan Saepul Ramdan Dahlan Dahlan Dini Rohmayani Dini Rohmayani Eko Hari Rachmawanto Faishal Fachruddin Febianto, Aldi Kristiawan Fitrah, La Ode Muhammad Fredricka, Jhoanne Hidayah, Hamimah Nur Iqna Aulia Iskandar, Rachmat Juniardi, Trianda Kosasih, Heldi Akbar Lela Kesmasari Maulana, Firdi Rizky Melani Nur Astita Mohamed Doheir Nadya Selvi Pujiyanita Nafea, Mohammed Mansoor Nia Ekawati, Nia Pebriana, Sela Perdana, Rangga Satria Pujiyanita, Nadya Selvi Rahmawan, Septiadi Ramdan, Dadan Saepul Riyan Riyan Rizqy Dimas Monica Rohmayani, Dini Safira, Rifa Sari, Putri Nurlaela Shandy Tresnawati Sukmawati, Dini Syams, Fawwaz Muhammad Syifa Fauzia Tahir Tahir, Syifa Fauzia Tati Ernawati Tresnawati, Shandy Tri Herdiawan Apandi Tri Pratiwi Olivia Riska Bokings Wanaziana, Keny Kirana Zulkipli ., Zulkipli Zundi, Teguh Muhammad