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Rofiq Harun
Universitas Ichsan Gorontalo
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Aspect-Based Sentiment Analysis (ABSA) of Ventela Shoe Reviews on TikTok Shop Using Fine-Tuned IndoBERT Fitrawansyah Butas; Amiruddin Bengnga; Maryam Hasan; Rezqiwati Ishak; Rofiq Harun; Andi Kamaruddin
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 2 (2026): Juli - Desember 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i2.39805

Abstract

The massive volume of consumer reviews on the social commerce platform TikTok Shop makes it difficult for local shoe brands such as Ventela to understand consumer perception in a structured manner, while Indonesian-language Aspect-Based Sentiment Analysis (ABSA) studies on this platform remain very limited. This study aims to apply fine-tuned IndoBERT for aspect-based sentiment classification and to measure consumer perception of four product aspects, namely Comfort, Design, Durability, and Price. Using a computational experiment approach, 1,000 reviews were collected, automatically annotated using a lexicon-based method with negation handling, restructured into 706 review-aspect pairs and divided using an 80:20 stratified split, and used to train and compare three models: TF-IDF with Logistic Regression, TF-IDF with Linear SVM, and fine-tuned IndoBERT. Testing on 142 test samples shows that fine-tuned IndoBERT is superior, achieving an Accuracy of 0.8521 and an F1-Macro of 0.7813 and surpassing both baselines on four of five primary metrics. Analysis of 706 review-aspect pairs identifies Design (75.6% positive) and Price (71.8% positive) as the main strengths, while Comfort (32.7% negative) and Durability (30.8% negative) emerge as improvement areas related to sizing and the quality of adhesive and stitching. This study enriches Indonesian ABSA literature in the social commerce domain and delivers a ready-to-use web-based simulator built with Gradio to facilitate periodic consumer-perception monitoring for data-driven decision-making processes.
Increasing Productivity in CPO Production Using The Objective Matrix Method Defi Irwansyah; Cut Ita Erliana; Fadlisyah Fadlisyah; Mutammimul Ula; Mahlil Fahrozi; Rofiq Harun
International Journal of Engineering, Science and Information Technology Vol 2, No 2 (2022)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.087 KB) | DOI: 10.52088/ijesty.v2i2.232

Abstract

PT. Ika Bina Agro Wisesa (IBAS) is a company that produces products in the form of crude oil or CPO (Crude Palm Oil). The company sets a minimum production target of FFB that must be processed to reach 30 tons in one boiling with a minimum production target of 600 tons/day. The company is required to increase productivity. The problem so far is that the company has never measured the productivity of the production process, which will then affect the achievement of production targets. Measurement of productivity is critical because the measursizeoductivity can determine whether the company meets productivity targets for production or not. Therefore, it is necessary to measure productivity to assess the value of productivity and efforts to increase productivity in CPO production and how to increase productivity in CPO production and efforts to increase productivity using the Objective Matrix (OMAX) method at PT. Ika Bina Agro Wisesa. Analysis of productivity using the OMAX method, ratio 3 (labor productivity) and ratio 4 (machine productivity) has a very high percentage of poor performance, which means that ratio and 4 have an insufficient level of productivity. Unlike the case with the achievement of productivity ratio 1 (productivity of raw materials) and ratio 2 (productivity of working hours) wh, ich shows a low percentage of poor performance, which means that the productivity level of ratio one and ratio 2 has a better productivity level than ratio three and ratio 4 Analysis The results of the productivity index in the company decreased and increased for each month, in November it experienced a decrease of -79.49, while in December it experienced a significant increase in the amount of 595.02 and January at 69.98. in February decreased to -23.63. Furthermore, productivity in March - September 2021 was unstable, with an increase and dropped for July, a decrease of -0.64 and, a slight increase in August of 0.28.
Co-Authors Adit Setiawan Salote Amirah Amirah Amiruddin Bengnga Ana Faizah Andi Bode Andi Kamaruddin Anshory, Jamil Asmaul Husnah Nasrullah Astika AyuningTyas, Astika Cut Ita Erliana Dea Wemona Rahma Defi Irwansyah Djauhari, Mahbub Dwina Satrinia Fadlisyah Fadlisyah Fatmawati Fatmawati Fitrawansyah Butas Hendriyanto, Donny Husdi Kartika Chandra Pelangi lahabu, sintiya Latif, Isnawati Nur Afifah Lubis, Hendarman Lukman Nadjamuddin Mahlil Fahrozi Maipauw, Musa Marsel Maryam Hasan MILASARI, LISA ASTRIA Muh Halqi Ashar Monoarfa Mukti Ali Mohammad Mutammimul Ula Nurul Kholisatul Ulya Ramdan Abdjul Rezqiwati Ishak Satya Arisena Hendrawan Serwin Siska Udilawaty Sudirman Melangi Sudirman S. Panna Syahrul Usman Syam, Syahriani Tahir, Abdul Talodo, Moh. Arif N Waworuntu, Alexander Yuliani Fajriah Latjompoh Yulianti Lasena