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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Informatika Teknologi dan Sains (Jinteks) AMMA : Jurnal Pengabdian Masyarakat Journal of Information Technology
Lilis Indrayani
Universitas Papua
Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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Pelatihan Guru Dalam Penggunaan Aplikasi Di Bidang Pendidikan Tingkat Sekolah Menegah Pertama Di Kabupaten Manokwari Zulkarnain; Lilis Indrayani
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 10 : November (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Education continues to evolve with technology, especially through digital learning media in the era of revolution 4.0 and society 5.0. In particular, the development of artificial intelligence (AI), is becoming increasingly important. A training program for junior high school teachers in Manokwari Regency overcomes the challenge of limited technological capabilities. Successfully improving their skills and knowledge in utilizing digital applications to enrich the learning experience in the classroom.
ANALISIS KUALITAS WEBSITE SIM UNIPA MENGGUNAKAN METODE WEBQUAL 4.0 Oktavia Nur Rosita; Marlinda Sanglise; Lilis Indrayani
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 2 (2026): EDISI 28
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i2.7434

Abstract

Penelitian ini dilakukan untuk menganalisis kualitas situs web Sistem Informasi Manajemen Universitas Papua (Sim UNIPA) dari perspektif pengguna dengan menggunakan metode Webqual 4. 0. Metode ini menilai kualitas situs web melalui tiga aspek utama, yaitu kemudahan penggunaan, kualitas informasi, dan kualitas interaksi layanan, dengan kepuasan pengguna sebagai variabel yang diukur. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengumpulan data melalui kuesioner yang disebarkan kepada 150 mahasiswa aktif di Universitas Papua. Data yang terkumpul dianalisis dengan metode PLS-SEM menggunakan perangkat lunak SmartPLS. Hasil penelitian menunjukkan bahwa variabel kemudahan penggunaan dan kualitas interaksi layanan memberikan pengaruh positif dan signifikan terhadap kepuasan pengguna, sedangkan kualitas informasi tidak menunjukkan pengaruh yang signifikan. Nilai koefisien determinasi (R-Square) sebesar 0,525 menunjukkan bahwa model ini dapat menjelaskan 52,5% variasi dalam kepuasan pengguna. Oleh karena itu, peningkatan kualitas situs web harus difokuskan pada aspek interaksi layanan dan kemudahan penggunaan, serta didukung dengan perbaikan terhadap kualitas informasi agar lebih akurat dan terkini.
Analisis Perbandingan Algoritma Naïve Bayes dan Support Vector Machine dalam Klasifikasi Opini dan Fakta pada Berita Banjir Sumatera Dessy Natalia Reba; Lilis Indrayani; Christian Dwi Suhendra
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 11 No 1 (2026): JANUARY
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v11i1.7526

Abstract

The rapid growth of online media has accelerated the dissemination of information related to flood disasters, creating the need for an automatic method to classify news into factual and opinion categories. This study aims to compare the performance of the Naïve Bayes and Support Vector Machine (SVM) algorithms in classifying factual and opinion-based news on flood events in Sumatra using Term Frequency–Inverse Document Frequency (TF-IDF) weighting. The research employed several text preprocessing stages, including cleaning, case folding, tokenization, stopword removal, and stemming, followed by TF-IDF weighting, classification, and model evaluation using accuracy, precision, recall, and F1-score. The experimental results showed that the Naïve Bayes algorithm achieved an accuracy of 92.34%, outperforming the Support Vector Machine algorithm, which achieved an accuracy of 91.88%. In addition, Naïve Bayes obtained higher precision, recall, and F1-score values for the opinion class. These findings indicate that Naïve Bayes is more effective than Support Vector Machine in classifying factual and opinion-based news related to flood events in Sumatra.
Analysis of Factors Influencing User Acceptance of the TEKAD Application Using Technology Acceptance Model (TAM) Among Village Apparatus in Manokwari Regency Surya Putri Kusumawati; Josua Josen A. Limbong; Lilis Indrayani
J-INTECH ( Journal of Information and Technology) Vol 14 No 03 (2026): Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v14i03.2406

Abstract

Using the Technology Acceptance Model (TAM), this study examined how village apparatus in Manokwari Regency accepted the TEKAD (Integrated Village Economic Transformation) application. The TEKAD app was used to administer a questionnaire to 33 village apparatus in Prafi, Masni, and North Manokwari. Above 0.60 Cronbach's Alpha indicates all research indicators were valid and reliable. So the instruments were suitable for analysis. Perceived Ease of Use and Actual Use positively and significantly affected TEKAD application acceptance, according to the t-test. Technology acceptance was unaffected by perceived usefulness, attitude, and behavior. In addition, the F-test showed that all TAM model variables had a 0.000 significance level. The model's R² of 0.705 suggests strong predictability of technology acceptance among village apparatus. These findings suggest that Perceived Ease of Use is a key factor in TEKAD application acceptance and should be prioritized in future development. In addition, Actual Use should be maintained, as it contributes significantly to technology acceptance. Therefore, efforts to improve the application should focus on enhancing its ease of use, usability, and users’ perceptions, while strengthening digital literacy training for village apparatus to support effective and sustainable digital governance.
Co-Authors Christian Dwi Suhendra Dessy Natalia Reba Josua Josen A. Limbong Marlinda Sanglise Oktavia Nur Rosita Surya Putri Kusumawati Zulkarnain