Wahyu Ridhoni
Politeknik Hasnur

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Vokametri: Mobile Application for Observation of Attitude Aspects Based on KKNI in Vocational Students Wahyu Ridhoni; Tesdiq Prigel Kaloka; Danang Yugo Pratomo
Vidya Karya Vol 38, No 2 (2023): OCTOBER 2023
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jvk.v38i2.17186

Abstract

Findings at Hasnur Polytechnic show that some aspects of attitude assessment still do not produce diverse scores. In one class, all students obtained the same grade. This problem arises because there are no guidelines for making observations. This research focuses on building a mobile app so that lecturers can more easily assess each learning session. The research method used as a framework in the development process is ADDIE (Analysis, Design, Development, Implementation and Evaluation).  The result of this research is the Vokametri application, built with the Ionic framework for the Android platform. All functions of the application have worked well. Therefore, it can be used by lecturers to conduct KKNI-based attitude observations. This application works offline so that the assessment can be done without being connected to the internet. Lecturers can view student attitude score records and download Excel files that list the attitude scores of all students in a course.
Pengembangan Aplikasi Mobile Kuis Kosakata Text-to-Speech Bahasa Inggris dengan User-generated Content Wahyu Ridhoni; Linda Tri Asmara; Jiki Romadoni
Jurnal Sains dan Informatika Vol. 10 No. 2 (2024): Jurnal Sains dan Informatika
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v10i2.866

Abstract

Penelitian ini bertujuan untuk mengembangkan aplikasi Mobile Kuis Kosakata Text-to-Speech Bahasa Inggris dengan fitur User-Generated Content yang memungkinkan pengguna menambah kosakata sesuai kebutuhan. Pengujian User Experience dilakukan menggunakan instruman UXD FLIP dengan tiga aspek: Mudah, Ramah, dan Indah. Hasil uji menunjukkan bahwa aspek Mudah memperoleh nilai 83,4, Aspek Ramah 82,4, dan aspek Indah 78,3. Secara keseluruhan, aplikasi ini memperoleh nilai akhir 81,4 yang tergolong sangat valid. Pengujian statistik menggunakan Wilcoxon Signed Rank Tes terhadap 107 partisipan menghasilkan nilai Z sebesar -8,79 Dengan p < 0,05, menunjukkan perbedaan signifikan antara nilai pre-test dan post-test. Dengan hasil ini, aplikasi dinyatakan efektif dan dapat digunakan dalam pembelajaran bahasa Inggris