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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA Bulletin of Computer Science Research
Aswan Supriyadi Sunge
Universitas Pelita Bangsa, Bekasi
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Evaluasi Pseudo-Labeling IndoRoBERTa dan InSet Lexicon dengan SVM pada Komentar TikTok Yehezkiel Juandro Metta; Aswan Supriyadi Sunge; Asep Suprianto
TIN: Terapan Informatika Nusantara Vol 7 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i1.10243

Abstract

TikTok generates large volumes of public comments that can be used to identify trends in public opinion, including responses to the accident involving a vehicle used in the Free Nutritious Meal program. However, informal social media language and imbalanced class distributions may affect sentiment labeling and classification performance. This study evaluates sentiment pseudo-labels generated by IndoRoBERTa and InSet Lexicon through Support Vector Machine classification with the application of the Synthetic Minority Over-sampling Technique. A quantitative experimental approach was applied to 10,309 TikTok comments collected through Apify scraping. Since no human annotations were used as ground truth, the positive, negative, and neutral labels produced by both methods were treated as pseudo-labels. The research stages included filtering, preprocessing, pseudo-label generation, Term Frequency-Inverse Document Frequency feature extraction, an 80:20 data split, SMOTE application to the training data, SVM classification, and evaluation using accuracy, precision, recall, and F1-score. The results show that SVM reproduced the InSet Lexicon pseudo-labels most effectively, achieving an accuracy of 0.865 without SMOTE. After SMOTE was applied, precision increased to 0.870 while the F1-score remained at 0.865, and neutral-class recall increased from 0.767 to 0.807. These findings indicate that InSet Lexicon produced pseudo-labels that were more consistently learned by SVM on this dataset, while SMOTE primarily improved minority-class recognition.
Implementasi Sistem Digital dalam Pengelolaan Surat Izin Keluar Karyawan dari Area Perusahaan Terintegrasi Notifikasi E-Mail Riska Hidayah Putri; Dendy K Pramudito; Aswan Supriyadi Sunge
Bulletin of Computer Science Research Vol. 6 No. 6 (2026): October 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i6.1359

Abstract

Paper-based employee exit permits hinder approval tracing, data recapitulation, and coordination with security personnel. This study implements SIKAK Online, a web-based work-area exit permit system integrated with email notifications at PT Vision Ease Asia. Development followed a prototyping approach comprising requirements communication, rapid design, prototype construction, user evaluation, and refinement. Requirements were gathered through observation, interviews, and document review, and the application was developed using PHP and MySQL. Evaluation comprised black-box functional testing, checks covering ten security aspects, and a 20-item Likert-scale questionnaire administered to 46 respondents. The test summary reported that all 24 functional scenarios passed and that security checks produced responses consistent with the mechanisms examined. Of 920 possible item responses, 916 valid responses yielded an actual score of 4,065 out of an ideal score of 4,580, equivalent to 88.76%; perceived usefulness obtained the highest indicator score, 90.43%. The questionnaire results describe users’ assessments of the system. This study contributes an implemented exit–return permit workflow integrating submission, supervisor approval, email notifications, monitoring by security personnel, reporting, and activity logs. Its empirical contribution is an initial evaluation of functionality, security mechanisms, and user perceptions to inform the development of traceable permit administration in a manufacturing setting. The findings support an initial evaluation of digital permit administration, with further research needed on service-time measurement, instrument validation, and more extensive security testing.
Co-Authors Asep Suprianto Dendy K Pramudito Riska Hidayah Putri Yehezkiel Juandro Metta