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All Journal Journal of Social Outreach JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia)
Septiara, Dhea Intan
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Computer Science & IT Control & Systems Engineering Education Engineering Library & Information Science Social Sciences

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IMPLEMENTASI SISTEM INFORMASI DATA PEGAWAI DAN DETAIL CUTI BERBASIS WEBSITE PADA DPPPAKB KABUPATEN JEMBER Umilasari, Reni; Savana, Bella Risma Khailla; Septiara, Dhea Intan; Zakiyyah, Amalina Maryam; Abdurrahman, Ginanjar
Journal of Social Outreach Vol 3, No 2 (2024): Journal of Social Outreach
Publisher : Fakultas Sains dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jso.v3i2.9737

Abstract

Sistem Informasi Data Pegawai Dan Detail Cuti Berbasis Website adalah aplikasi yang membantu pengguna mendapat informasi data pegawai dan melakukan detail cuti secara online melalui platform web. Sistem ini memberikan solusi efisien dalam mengelola data pegawai dan detail cuti. Pengguna dapat dengan mudah memasukkan data dan mengisi form untuk melihat detail cuti melalui antarmuka web. Setelah memasukkan data yang diminta di formulir data pegawai dan mengisi formulir cuti. Admin bertanggung jawab atas sistem, mengelola data pegawai dan data detail cuti serta memberikan persetujuan atau penolakan berdasarkan pertimbangan lainnya. Dengan Sistem Informasi Data Pegawai dan Detail Cuti Berbasis Website, diharapkan Kantor DPPPAKB Kabupaten Jember dapat meningkatkan efisiensi dalam proses pencatatan cuti dan juga data data pegawai yang ada di kantor.
Topic Analysis in Political Speech Video Transcripts Using the Latent Dirichlet Allocation (LDA) Method Septiara, Dhea Intan; Deni Arifianto; Wiwik Suharso
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol. 11 No. 1 (2026): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v11i1.4044

Abstract

Political speeches are an important medium for conveying a country’s leader’s vision, mission, and policy directions to the public. This study aims to identify and analyze the main topics in the video transcripts of President Joko Widodo’s political speeches during the 2014–2024 period using the Latent Dirichlet Allocation (LDA) method. The data consist of 185 press conference speech videos obtained from the Indonesian Cabinet Secretariat’s YouTube channel and converted into text using speech-to-text technology. The dataset is divided into 81 videos from the 2014–2023 period as training data and 104 videos from 2024 as testing data. The analysis process includes text preprocessing, rule-based automatic labeling, LDA model training, and evaluation using coherence score and perplexity. The results show that in the training data, the topics of Infrastructure and Economy are the dominant topics, reflecting the government’s focus on physical development and economic growth. In contrast, in the 2024 testing data, Healthcare emerges as the most dominant topic, followed by the topics of Infrastructure, Economy, Education, and Technology. The Infrastructure topic consistently achieves the highest coherence score of 0.85, indicating strong semantic consistency among its constituent terms. This study contributes to understanding the temporal dynamics of political communication and demonstrates the effectiveness of LDA in analyzing political speech data derived from video transcripts.
Co-Authors Arifianto, Deni Ginanjar Abdurrahman Savana, Bella Risma Khailla Umilasari, Reni Wiwik Suharso Zakiyyah, Amalina Maryam