(Android Application) Seni Indonesia - LAMK 2019 (Lomba Aplikasi Mobile Kihajar 2019) - Kemendikbud
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Updated
Jul 11, 2023 - JavaScript
(Android Application) Seni Indonesia - LAMK 2019 (Lomba Aplikasi Mobile Kihajar 2019) - Kemendikbud
Unofficial Go Client SDK for the PDDikti APIs
this project is about how to process sentiment analysis using Naive Bayes Classifier with and without TF-IDF term weighting. The case is about Kampus Merdeka New Policy from KEMENDIKBUD RI on Youtube comments. The conclusion is using TF-IDF give a better result with accuracy 96%.
Automatically synchronize author and lecturer data in https://bima.kemdikbud.go.id (Unofficial)
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Dasar-Dasar Pemrograman Java - Praktisi Mengajar UPI YAI 2022
An unofficial application to automatically bulk-sync SINTA Kemdikbud author publication data without human labor
Pemrograman Web - Praktisi Mengajar UPI YAI 2023
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