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All Journal IJID (International Journal on Informatics for Development) Jurnal Sistem Informasi dan Sistem Komputer
Agung Prayogo
Universitas Proklamasi 45 Yogyakarta
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Other

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Satisfaction Level from Digital Learning Implementation Using E-Learning Management System (LMS) UP45 at University of Proklamasi 45 Agung Prayogo; Selvy Dwi Hartiyani; Erlinawaty Hartiyani; Puti Adam Dewi
IJID (International Journal on Informatics for Development) Vol. 10 No. 2 (2021): IJID December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2021.3396

Abstract

Learning process in campus has undergone several fundamental changes since the COVID-19 pandemic. The face-to-face lectures cannot be fully implemented due to the increasing number of COVID-19 cases. The education sector continues to make some improvisation in learning methods. This study aims to measure the level of operational feasibility of a Moodle-based Learning Management System at University of Proklamasi 45 Yogyakarta. This study used Taro Yamane Formula as the sampling method. There are 1517 total students in the population with a minimum sample of 94 (error margin of 10%) requirement (actual sample = 120). The data were obtained from the dissemination of questionnaires, using linked scales processed using SPSS software. The respondents are the students, lecturers and academic staffs as the person in charge of the e-learning platform UP45. This method resulted in a decision on the use of e-learning along with the operational feasibility of the online learning system implemented at University of Proklamasi 45 Yogyakarta. The general conclusion of this study is that the operational feasibility of E-Learning UP45 Yogyakarta, can be used as a digital learning solution during the Covid-19 pandemic. The valid percentage that supports the implementation and maintenance of an online learning LMS-based is 72.5%.
Penerapan Metode Support Vector Machine Untuk Analisis Sentimen Ulasan Aplikasi Threads di Google Play Store Rijald Djonedhi Elimanafe; Sapriani Gustina; Selvi Dwi Hartiyani; Agung Prayogo
Jurnal Sistem Informasi dan Sistem Komputer Vol 11 No 2 (2026): Vol 11 No 2 - 2026
Publisher : STIMIK Bina Bangsa Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51717/simkom.v11i2.1386

Abstract

Pertumbuhan penggunaan media sosial mendorong meningkatnya jumlah ulasan pengguna yang mencakup pendapat dan pengalaman terhadap suatu aplikasi. Dengan menggunakan algoritma Support Vector Machine (SVM), penelitian ini menyelidiki persepsi pengguna aplikasi Threads di Google Play Store. Data diperoleh melalui teknik scraping sebanyak 5.000 ulasan berbahasa Indonesia. Data tersebut kemudian diproses melalui tahap prapemrosesan teks yang mencakup pembersihan data, case folding, normalisasi, tokenisasi, stopword removal, stemming, serta penghapusan data kosong. Proses pelabelan sentimen dilakukan secara semi-otomatis berdasarkan nilai rating dan dikelompokkan ke dalam tiga kategori, yaitu positif, netral, dan negatif. Metode Frequency-Inverse Document Frequency (TF-IDF) dipakai untuk membangun representasi fitur. Kemudian, klasifikasi dilakukan menggunakan model SVM dengan kernel Radial Basis Function (RBF), dan metrik akurasi dan confusion matrix digunakan untuk mengevaluasi. Hasil penelitian menunjukkan tingkat akurasi 96,29% pada data pelatihan dan 77,68% pada data pengujian, sehingga menunjukkan bahwa kombinasi TF-IDF dan SVM efektif dalam analisis sentimen ulasan aplikasi berbahasa Indonesia.
Co-Authors Erlinawaty Hartiyani Gustina, Sapriani Puti Adam Dewi Rijald Djonedhi Elimanafe Selvi Dwi Hartiyani Selvy Dwi Hartiyani