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All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi Instal : Jurnal Komputer Bulletin of Information Technology (BIT)
Tanjung, Miftah Rusydi
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Computer Science & IT Decision Sciences, Operations Research & Management

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Implementasi Algoritma Naïve Bayes Dalam Menganalisis Jumlah Live Stream VTuber Skem Aulia, Ananda; Tanjung, Miftah Rusydi; Iqbal, Muhammad; Wijaya, Rian Farta
Bulletin of Information Technology (BIT) Vol 4 No 4: Desember 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i4.899

Abstract

YouTube is evidence of the development of leading digital technology in the media and entertainment sector. YouTuber is a term for those who create content or broadcast live on YouTube media. Not all YouTubers are able to express themselves directly in the content they create. For this reason, Virtual YouTubers were created, which are 2-dimensional or 3-dimensional virtual characters created using computer software to make it easier for YouTubers to interact with viewers. This research aims to analyze the live broadcasts of VTuber HoloH3ro, namely Kaela Kovalskia, Vestia Zeta, and Kobo Kanaeru, which contain schemes during the live streaming. With a large amount of data for each live stream time, a Naïve Bayes algorithm is needed through the use of range and frequency features, so accuracy results will be obtained which will be tested using the Confusion Matrix. The dataset used was taken from the kaggle.com site regarding the scheme live stream schedule conducted by HoloH3ro.
Analysis Of It-Based Logistics Inventory Systems In Companies Engaged In The Field Of Ready Mix Concrete And Precast Concrete Pratama, Wiko; Wahyudi, Muhammad; Tanjung, Miftah Rusydi; Saputra, Risfan Nazar; Saragih, Juliyandri; Siregar, Andree Rizky Yuliansyah; Wijaya, Rian Farta
Bahasa Indonesia Vol 16 No 03 (2024): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i03.247

Abstract

This journal aims to analyze information technology (IT)-based logistics inventory systems in companies operating in the ready mix concrete and precast concrete fields. In the construction industry, efficient and accurate inventory management is critical to supporting effective and timely operations. This study identifies the problems existing in traditional inventory systems and proposes IT-based solutions to optimize logistics management. The methodology used includes needs analysis, system design, implementation, and system performance evaluation. The results of the research show that implementing an IT-based inventory system can increase the accuracy of inventory data, speed up the decision-making process, and reduce operational costs. This system also allows for better integration between various departments within the company, thereby improving overall coordination and efficiency. This study concludes that technological innovation in logistics management makes a significant contribution to increasing productivity and competitiveness of companies in the ready mix concrete and precast concrete industries.
Analisis Sentimen Google Review terhadap Mutu Kualitas Pendidikan pada Perguruan Tinggi STIE Al-Washliyah Sibolga dengan Metode Lexicon dan Algoritma Naive Bayes Tanjung, Miftah Rusydi; Iqbal, Muhammad; Sitorus, Zulham
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 02 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i02.1549

Abstract

Perkembangan teknologi informasi telah mendorong masyarakat untuk menyampaikan opini terhadap institusi pendidikan melalui platform digital seperti Google Review. Penelitian ini bertujuan untuk menganalisis sentimen masyarakat terhadap mutu layanan pendidikan di STIE Al-Washliyah Sibolga berdasarkan komentar Google Review dengan membandingkan dua pendekatan analisis sentimen, yaitu Lexicon-Based dan Naïve Bayes. Sebanyak 51 komentar dianalisis melalui tahapan praproses teks yang meliputi case folding, tokenisasi, stopwords removal, dan stemming. Hasil klasifikasi menunjukkan bahwa sebagian besar komentar bersentimen positif, dengan fokus pada kenyamanan lingkungan kampus, keramahan layanan, serta aksesibilitas lokasi. Model dievaluasi menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil evaluasi menunjukkan bahwa metode Naïve Bayes memiliki performa lebih unggul dengan akurasi sebesar 98%, recall 97,8%, dan F1-score 98,8%, dibandingkan Lexicon-Based yang hanya mencapai akurasi 94,1% dan F1-score 96,6%. Temuan ini menunjukkan bahwa citra STIE Al-Washliyah Sibolga di ruang digital sangat positif, serta algoritma Naïve Bayes layak digunakan sebagai pendekatan efektif dalam pemantauan opini publik terhadap perguruan tinggi berbasis data digital.
Co-Authors Aulia, Ananda Muhammad Iqbal Muhammad Wahyudi Pratama, Wiko Saputra, Risfan Nazar Saragih, Juliyandri Siregar, Andree Rizky Yuliansyah Sitorus, Zulham Sugeng, Santoso Wijaya, Rian Farta