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All Journal Indonesian Journal of Applied Informatics EDUMATIC: Jurnal Pendidikan Informatika
A'la, Fiddin Yusfida
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Computer Science & IT Education

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Optimasi Klasifikasi Sentimen Ulasan Game Berbahasa Indonesia: IndoBERT dan SMOTE untuk Menangani Ketidakseimbangan Kelas A'la, Fiddin Yusfida
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 1 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i1.29666

Abstract

The increased use of gaming apps on platforms like the Google Play Store has signaled the importance of user reviews as a source of app quality evaluation. However, sentiment analysis of Indonesian-language reviews faces challenges due to the peculiarities of language structure, emotional expressions, and the use of slang and specialized terms in game reviews. This study aims to classify reviews into three sentiment classes: positive, negative, and neutral, using the IndoBERT-base-uncased model. The type of research used is experimental by comparing the performance of the model using original and synthetic datasets. The total original dataset collected was 998 reviews. The k_neighbors SMOTE parameter used is 5. The IndoBERT-base-uncased epoch parameter is 10, with a batch value per device and a batch for evaluation of 16. Configuration variable warmup_steps is 500 with L2 weight_decay regularization at 0.01. Evaluation results after SMOTE implementation: the precision score increased from 0.44 to 0.45, and the F1-score from 0.46 to 0.47. However, the recall score did not increase. The evaluation results show that the model has variable performance between classes with an initial accuracy of 69.,5%. Data imbalance is a major challenge, especially in minority classes such as class 1 (neutral), which cannot be predicted by the model. The SMOTE technique successfully improved data balance and increased accuracy to 72.5%, as well as improving metrics such as precision, recall, and F1-score overall.
Rancang Bangun Sistem Antrian Terkustomisasi Berbasis Android Yoeseph, Nanang Maulana; Riasti, Berliana Kusuma; Hartatik, Hartatik; Pratisto, Eko Harry; A'la, Fiddin Yusfida
IJAI (Indonesian Journal of Applied Informatics) Vol 6, No 1 (2021)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v6i1.56778

Abstract

Abstrak : Sebagian besar pelayanan publik di era ini masih menggunakan sistem konvensional. Yang mana, klien layanan mendapatkan tiket antrean, menunggu, dan dilayani di tempat yang sama. Penelitian ini bertujuan untuk memudahkan dan memungkinkan orang untuk mengantre dari jarak jauh. Dengan demikian waktu yang awalnya digunakan untuk dihabiskan menunggu, bisa digunakan untuk dihabiskan melakukan sesuatu yang lain lebih berguna.Berdasarkan kondisi yang dikatakan di atas, aplikasi yang menghubungkan agen layanan dengan klien layanan perlu dibuat. Aplikasi ini memanfaatkan internet dan smartphone yang dapat diakses melalui aplikasi Android atau browser web. Pengembangan aplikasi ini menggunakan kerangka kerja Ionic React. Aplikasi ini dirancang dan dibangun menggunakan metode Waterfall yang terdiri dari pengamatan dan pengumpulan data, analisis, desain sistem, bangunan dan pengujian, kesimpulan dan saran.Dari desain dan bangunan yang telah dilakukan, dibuat aplikasi yang memiliki ftur dasar untuk antrean online. Aplikasi ini dapat dijalankan di browser web dan perangkat Android dengan sistem operasi minimum Android 4.4 KitKat.Abstract : Most public services in this era still use conventional systems. Which is, service clients get queue tickets, wait, and be served in the same place. This research aims to ease and enable people to queue remotely. Thus the time that is originally used to be spent waiting, could be used to be spent doing something else more useful. Based on the conditions said above, an application that connects service agencies with service clients needs to be made. This application utilizes the internet and smartphone which can be accessed through Android application or web browser. The development of this application uses the Ionic React framework. This app is designed and built using the Waterfall method consisting of observation and data collection, analysis, system design, building and testing, conclusion and suggestion.
Co-Authors Berliana Kusuma Riasti Eko Harry Pratisto Hartatik Nanang Maulana Yoeseph