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All Journal Jurnal Ilmiah KOMPUTASI JOURNAL OF APPLIED INFORMATICS AND COMPUTING
Pakpahan, Jonathan
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Computer Science & IT

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Analisis Sentimen pada X terhadap Deepseek R1 dengan Multinomial Naive Bayes Classifier Fathoni; Ibrahim, Ali; Siregar, Richi Nauli Juniarto; Pakpahan, Jonathan; Khoirunnisa, Ananda; Ningsih, Rafika Octaria
Jurnal Ilmiah Komputasi Vol. 24 No. 3 (2025): Jurnal Ilmiah Komputasi : Vol. 24 No 3, September 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.24.3.3818

Abstract

Penelitian ini bertujuan menganalisis sentimen pengguna platform X terhadap model kecerdasan buatan DeepSeek R1 menggunakan algoritma Multinomial Naïve Bayes. Data diperoleh melalui web scraping dari 2.284 tweet berbahasa Indonesia dengan kata kunci "deepseek". Tahap preprocessing meliputi cleaning, tokenization, normalization, stemming, dan filtering dilakukan untuk meminimalkan noise. Hasil klasifikasi menunjukkan distribusi sentimen yang seimbang, dengan 52,1% tweet positif dan 47,9% negatif. Model mencapai akurasi sebesar 75%, mengindikasikan kemampuan yang cukup baik dalam mengidentifikasi polaritas sentimen. Temuan ini memberikan gambaran awal mengenai respons publik terhadap inovasi AI serta potensi metode klasifikasi berbasis teks untuk analisis persepsi teknologi.
Assessing Academic Website Quality Using the WebQual 4.0 Framework Pakpahan, Jonathan; Meiriza, Allsela; Novianti, Hardini
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11661

Abstract

The rapid growth of digital technologies in higher education has encouraged universities to improve academic service delivery through integrated online platforms. This study aims to measure the quality of the E-PPT (Pusat Pelayanan Terpadu Berbasis Elektronik) website of the Faculty of Computer Science, Universitas Sriwijaya, using the WebQual 4.0 model. A quantitative descriptive method was adopted, involving 354 valid respondents drawn from a total faculty population of 3,058 students across four academic levels (Diploma, Undergraduate, Master’s, and Doctoral). Data were collected via an online survey and analyzed using Microsoft Excel and SPSS. The website achieved an overall mean score of 3.60, indicating a good level of quality. Information Quality showed the highest performance (3.68), followed by Usability (3.58) and Service Interaction Quality (3.56). A supplementary correlation analysis also confirmed positive associations among the WebQual dimensions and overall website quality. These results suggest that the website delivers accurate information and is easy to use, although improvements are needed in responsiveness and interaction quality.
Co-Authors Ali Ibrahim Allsela Meiriza, Allsela Fathoni Hardini Novianti Khoirunnisa, Ananda Ningsih, Rafika Octaria Siregar, Richi Nauli Juniarto