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Sentiment analysis study of library services using support vector machine methodse Risa Putri Arianty; M. Riko Anshori Prasetya; Subhan Panji Cipta; Bayu Nugraha
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 12 No 1 (2025): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v12i1.1303

Abstract

Academic institutions' libraries contribute significantly to students' success by giving them access to the information resources they need. Sentiment analysis of library services is crucial in the current digital era to comprehend student perspectives and enhance service quality. The purpose of this study is to assess how XYZ University students feel about the library services thereby applying the Support Vector Machine (SVM) technique. Data obtained through a survey utilizing a Google Form is used in this study to analyze sentiment using the SVM algorithm. Preprocessing steps include data cleaning, normalization, tokenization, stopword removal, and stemming. Eighty percent of the data were used to train the SVM model, while twenty percent of the data were used to test it. The evaluation findings demonstrated that the SVM model could classify sentiment with a 90% accuracy level. This result was confirmed using an accuracy, precision, recall, and F-measure metrics confusion matrix. The sentiment analysis's findings revealed that most students had a favorable opinion of the library's services, particularly when it came to the staff's effectiveness and the facilities' cleanliness. But there are still certain areas that require work, including managing noise and adding more pertinent book selections. To increase overall library user happiness, it is advised to put in place a program that focuses on enhancing the quality of a quieter learning environment and providing a selection of books that meet the needs of students  
Transfer Teknologi Kesehatan Aplikasi Layanan Pengobatan Gratis MPKU Kapuas Daipadli Daipadli; Lukman Harun; Subhan Panji Cipta; Viony Tri Banowati; Siti Rahmaniah; Najwi Hasani; Nor Latifah; Joko Priyanto Wibowo
Jurnal Pengabdian Masyarakat Bhinneka Vol. 5 No. 1 (2026): September
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v5i1.1665

Abstract

Majelis Pembinaan Kesehatan Umum (MPKU) Muhammadiyah Kapuas menghadapi hambatan operasional layanan kesehatan di daerah terpencil akibat pengelolaan data manual, seperti tingginya waktu tunggu antrean, risiko kesalahan data, dan inefisiensi manajemen logistik obat. Pengabdian masyarakat ini bertujuan meningkatkan efektivitas, efisiensi, dan akuntabilitas operasional program pengobatan gratis melalui modernisasi sistem pelayanan berbasis Sistem Informasi Manajemen (SIM) MPKU. Kegiatan ini menggunakan pendekatan Participatory Action Research (PAR) melalui tahap persiapan, pelatihan (capacity building), dan evaluasi. Sasaran program meliputi 15 staf medis dan administratif serta 70 pasien penerima manfaat. Pengumpulan data dilakukan melalui observasi waktu, kuesioner System Usability Scale (SUS), kuesioner kepuasan, dan analisis dokumen logistik. Analisis data memanfaatkan statistik komparatif (Paired Sample t-Test), uji proporsi, dan analisis deskriptif.