Kurnia, Nicky Dwi
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Analisis Sentimen Warganet terhadap Isu Layanan Transportasi Online Berbasis InSet Lexicon menggunakan Logistic Regression Kholifah, Binti; Thoib, Imam; Sururi, Nafis; Kurnia, Nicky Dwi
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 11, No 1 (2024)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v11i1.655

Abstract

Beberapa isu terkait layanan transportasi online kerap menjadi pusat perdebatan di media sosial. Hal tersebut memberikan pengaruh pada penilaian layanan tersebut di Google Play Store. Penelitian ini bertujuan untuk melakukan analisis sentimen terhadap isu layanan transportasi online berbasis data warganet di Google Play Store. Analisis sentimen dan pelabelan dilakukan berdasarkan Inset Lexicon, sedangkan klasifikasi dilakukan menggunakan Logistic Regression. Sebelum diolah, data ulasan warganet harus melalui tahap pra-pemrosesan dan eksplorasi data. Selanjutnya, dilakukan optimisasi dengan parameter C, solver, dan max_iter pada model Logistic Regression. Hasil menunjukkan bahwa kombinasi nilai dari beberapa parameter optimisasi membawa pengaruh pada kinerja Logistic Regression. Selama pengujian, dapat dilihat juga bahwa rating tidak selamanya mecerminkan ulasan dari pengguna. Hal ini bisa dipengaruhi beberapa faktor seperti perilaku pengguna itu sendiri.
Development of a Web-Based Online Judge for Java Programming Examinations to Enhance Interactive Learning Environments Putra, Muhammad Trio Maulana; Sa’adah, Nurul Laili; Kurnia, Nicky Dwi; Ani, Febi Warta Nur
EDUTIC Vol 12, No 2: 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v12i2.31861

Abstract

This paper addresses the challenges in traditional programming assessment, such as scalability and delayed feedback. We present the development of a web-based examination platform for the Java programming language. The system is designed with a decoupled architecture, integrating the CodeMirror editor to create an interactive learning environment and leveraging the Glot.io API for secure, sandboxed code execution. This approach mitigates security risks associated with evaluating untrusted code and provides students with real-time, automated feedback. The resulting platform offers a robust, secure, and pedagogically enhanced solution for online programming assessment, improving both the efficiency for instructors and the learning experience for students.