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All Journal Jurnal Informatika dan Teknik Elektro Terapan JIEET (Journal of Information Engineering and Educational Technology) KOMPUTEK Building of Informatics, Technology and Science Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Informatika Terpadu Journal of Artificial Intelligence and Digital Business Innovative: Journal Of Social Science Research SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa JSE Journal of Science and Engineering
Rudiman, Rudiman
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Transportation Other

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Journal : JSE Journal of Science and Engineering

 1 
Latent Dirichlet Allocation Utilization as a Text Mining Method to Elaborate Learning Effectiveness Rahmi, Netri Alia; Rudiman, Rudiman
JSE Journal of Science and Engineering Vol. 2 No. 1 (2023): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v1i1.3680

Abstract

Learning method is a way to explain the lesson materials to students so that the learning process can occur in students as an effort to achieve the goals. Learning methods can be said to be a success if students are active, both physically, mentally, and socially in the learning process, in addition to showing high enthusiasm for learning and having self-confidence. The purpose of this study is to classify the opinions of Indonesian students regarding the existing learning methods and what learning methods they expected. In order to evaluate existing learning methods using the latent dirichlet allocation method. The data used comes from tweets of Twitter users within the range of January to March 2022. The data is taken using the scrapping method through the help of the python twisel library and totaled to 3778 data, then preprocessed through the nltk and Sastrawi libraries. The results of this analysis stated that student opinions can be classified into 3 major topics which state students' opinions regarding effective learning methods, student difficulties in applicable learning methods, and high cross-departmental interest.
Sentiment Analysis of the Public on the Deployment of Smart Robots in Indonesia Using the Naïve Bayes Method Muthmainnah, Muthmainnah; Rudiman, Rudiman; Yulianto, Fendy
JSE Journal of Science and Engineering Vol. 3 No. 2 (2025): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v3i2.3887

Abstract

In this digital era, social media platforms have become the primary means for the public to express opinions on current issues, including discussions about the roles of robots and artificial intelligence in replacing human jobs. The focus of this community service is to investigate public sentiment regarding the implementation of smart robots in Indonesia, utilizing text-based sentiment analysis. The Naïve Bayes method is chosen as the approach to classify sentiments, overcoming challenges such as language and cultural variations. Through data testing and training, this research successfully achieved an accuracy rate of 98%, with high Precision, Recall, and F1 Score. The results provide valuable insights for companies and organizations that need to understand public perspectives on technological advancements and their impact on human employment.
Sentiment Analysis, Classification of Twitter Tweets of the Constitutional Court Decision on Vice Presidential Candidates Using Naïve Bayes Method Nurlita, Nurlita; Rudiman, Rudiman; Hallim, Abd
JSE Journal of Science and Engineering Vol. 3 No. 2 (2025): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v3i2.3894

Abstract

The development of information technology has had a significant impact on the acceleration and ease of exchanging information and communication. The emergence of popular social media platforms, such as Twitter, Facebook, Instagram, Youtube in order to explore trending and popular information. Social media has become a reference for the Indonesian people in considering all possibilities that are happening, including public unrest against decision-making that is not in accordance with the norms and ethics within the scope of the constitutional court. Decisions issued by the Constitutional Court (MK) have the potential to trigger significant reactions and debates in society. In this research, we conducted a sentiment analysis on the current issue of the Constitutional Court, where the problem is that many people doubt the decisions taken and many also support the decision so that the virtual world becomes a place for people to express their thoughts about it, especially on the Twitter platform. In expressing their thoughts on the Twitter platform will display Positive, Negative, and Neutral expressions. The method used to see the results of the analysis of the Constitutional Court Decision is the Naïve Bayes method to get accurate results. By using 540 data, the total data of F1 results is the average of precission and recall: AUC of 93.8%, Classification accuracy (CA) of 21.7% Model accuracy of 97.1% Recall of 21.7% F1 score of 14.8%, with a total of 540 data, a total of 10 negative actual data, while 7 positive and 523 neutral. With these results, many people respond to the results of the Constitutional Court's decision Neutral.
Co-Authors Abdul Rahim Abror, Irfan Fiqry Alfawas, Thoriq Ikhwan Ali, Sultan Anggi, Saputra Elfansyah, Muhammad Rayhan Fendy Yulianto Fendy, Fendy Yulianto Fiqri, Mohammad Hiqmal Halim, Andi Nur Hallim, Abd Hidayat, Muhammad Rahman Ihram Nabawi, Ikhsan Nuttakwa Takbirata Ikhsan, Ikhsan Nuttakwa Takbirata Ihram Nabawi Munawaroh, Al Muthmainnah Muthmainnah Naufal Azmi Verdikha Nurlita, Nurlita Nursyarif, Muhammad Khumaidi Ompusunggu, Hermaya Perdana, Muhammad Reifin Poernamawan, Ahmad Nugraha Pranata, Aditya Pranata, Ricky Albin Rahmadani, Rafi Rahman, Febrian Nor Rahmi, Netri Alia Rayhan, Muhammad Rayhan Elfansyah Ridhoi, Reno Sidiq, Rezki Subhan Insani Tagfirul Azima Yoga Siswa, Muspidar Mulyadi Tirta, Muhamad Wahyu Tri Wahyudi Verdikha, Nauval Azmi Widyastuti, Dessy