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All Journal Jurnal Mahasiswa Sistem Informasi (JMSI) Alkhidmah: Jurnal Pengabdian dan Kemitraan Masyarakat
Adinda Bintang Oktavia
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Law, Crime, Criminology & Criminal Justice

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ANALISIS SENTIMEN ULASAN PENGGUNA GOJEK MENGGUNAKAN METODE SUPPORT VECTOR MACHINE Dewi Masitoh; Ahmad Alif Candra Selamet; Sinta Devi Rahmawati; Adinda Bintang Oktavia; Arif Setiawan
Jurnal Mahasiswa Sistem Informasi (JMSI) Vol. 6 No. 2 (2025): Jurnal Mahasiswa Sistem Informasi (JMSI)
Publisher : Program Studi DIII Sistem Informasi - Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jmsi.v6i2.9191

Abstract

Kemajuan teknologi digital telah mendukung pertumbuhan layanan transportasi daring seperti Gojek. Penelitian ini menggunakan pendekatan klasifikasi dengan algoritma Support Vector Machine (SVM) untuk menganalisis sentimen dari review pengguna Gojek. Sebanyak 2001 ulasan dari tahun 2017–2024 diambil dari Kaggle. Proses meliputi preprocessing (case folding, tokenisasi, filtering, dan stemming), lalu transformasi data menggunakan TF-IDF. Sentimen diklasifikasi menjadi positif, negatif, dan netral berdasarkan rating. Model SVM dilatih dengan data 80:20 untuk pelatihan dan pengujian. Hasil menunjukkan akurasi 84,75%, dengan f1-score prediksi paling akurat dalam kelas positif (0,89) dan terendah pada kelas netral (0,00). Rata-rata berbobot precision, recall, dan f1-score masing-masing 0,83, 0,85, dan 0,83. SVM terbukti efektif untuk klasifikasi sentimen, meskipun akurasi pada kelas netral masih perlu ditingkatkan
Digitalisasi Pendaftaran Layanan Eazy Passport Berbasis Web pada Kantor Imigrasi Kelas I Non TPI Pati Adinda Bintang Oktavia; Supriyono
ALKHIDMAH: Jurnal Pengabdian dan Kemitraan Masyarakat Vol. 4 No. 1 (2026): Jurnal Pengabdian dan Kemitraan Masyarakat (ALKHIDMAH)
Publisher : Sekolah Tinggi Ilmu Syariah Nurul Qarnain Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/alkhidmah.v4i1.1796

Abstract

Immigration public services require digital innovation to improve efficiency, accuracy, and service transparency. The Eazy Passport service at the Class I Non-TPI Immigration Office of Pati has been managed through a manual registration process using formal letters, resulting in administrative inefficiencies, data entry errors, and difficulties in service scheduling. This community service activity aims to design and implement an integrated web-based registration and scheduling system for the Eazy Passport service. The implementation stages included needs analysis, system design, web application development, and system testing. The results show that the developed system simplifies the registration process for applicants, reduces administrative workload for immigration officers, improves data organization, and supports more structured and transparent service scheduling. The system provides a practical digital solution that contributes to enhancing the quality and efficiency of immigration public services.
Co-Authors Ahmad Alif Candra Selamet Arif Setiawan Dewi Masitoh Sinta Devi Rahmawati SUPRIYONO