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All Journal Jurnal Teknik Informatika (JUTIF) Jurnal Indonesia Sosial Sains
Zaidan, Muhammad Naufal
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LEARNING RATE AND EPOCH OPTIMIZATION IN THE FINE-TUNING PROCESS FOR INDOBERT’S PERFORMANCE ON SENTIMENT ANALYSIS OF MYTELKOMSEL APP REVIEWS Zaidan, Muhammad Naufal; Sibaroni, Yuliant; Prasetyowati, Sri Suryani
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 5 (2024): JUTIF Volume 5, Number 5, Oktober 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.5.2396

Abstract

With the advancement of the digital era, the growth of mobile applications in Indonesia is rapidly increasing, particularly with the MyTelkomsel app, one of the leading applications with over 100 million downloads. Given the large number of downloads, user reviews become crucial for improving the quality of services and products. This study proposes a sentiment analysis approach utilizing the Indonesian language model, IndoBERT. The main focus is on optimizing the learning rate and epochs during the fine-tuning process to enhance the performance of sentiment analysis on MyTelkomsel app reviews. The IndoBERT model, trained with the Indo4B dataset, is the ideal choice due to its proven capabilities in Indonesian text classification tasks. The BERT architecture provides contextual and extensive word vector representations, opening opportunities for more accurate sentiment analysis. This study emphasizes the implementation of fine-tuning with the goal of improving the model's accuracy and efficiency. The test results show that the model achieves a high accuracy of 96% with hyperparameters of batch size 16, learning rate 1e-6, and 3 epochs. The optimization of the learning rate and epoch values is key to refining the model. These results provide in-depth insights into user sentiment towards the MyTelkomsel app and practical guidance on using the IndoBERT model for sentiment analysis on Indonesian language reviews.
Intensification of Silviculture Techniques in Community Forest Management to Realize the Acceleration of SDG's Point 13: Handling Climate Change Pertiwi, Yus Andhini Bhekti; Zaidan, Muhammad Naufal; Arista, Lelita Gian Widiya; Qothrunnada, Hanifah
Jurnal Indonesia Sosial Sains Vol. 5 No. 10 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i10.1440

Abstract

Global climate change has become an urgent issue affecting land quality, especially forest areas. Forests are important in mitigating climate change by absorbing carbon and storing greenhouse gases. Community forests, which are managed by communities on private land, have great potential to reduce carbon emissions. However, community forest management is still suboptimal due to limited knowledge of the application of effective silvicultural techniques. This study aims to provide recommendations for community forest management by intensifying silvicultural techniques, such as plant spacing and plant species selection, to reduce fire risk and support climate change mitigation. The method used was a systematic review of 30 relevant scientific articles. The literature used came from books and national and international journal articles accessed through Google Scholar, Springer and ScienceDirect databases. Articles were selected through a selection process based on the relevance of the title, abstract, and overall content. The results showed that a planting distance of 4×4 meters or 4×3 meters is the most optimal for tree growth and allows the implementation of an agroforestry system. In addition, plant species such as Swietenia macrophylla and Gliricidia sepium proved effective as fire barriers due to their evergreen characteristics that can reduce the amount of litter as fire fuel. In conclusion, intensive silvicultural techniques can increase the effectiveness of community forest management in sequestering carbon, reducing the risk of forest fires, and supporting climate change mitigation efforts. This research provides recommendations that community forest managers can apply to improve environmental sustainability.
Co-Authors Arista, Lelita Gian Widiya Qothrunnada, Hanifah Sri Suryani Prasetiyowati Yuliant Sibaroni