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All Journal International Journal of Electrical and Computer Engineering PRODUCTUM : Jurnal Desain Produk (Pengetahuan dan Perancangan Produk) AGRIEKSTENSIA
SIAGIAN, WESLY MAILANDER
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Arts Humanities Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Social Sciences Veterinary

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Optimizing parameter selection in bidirectional encoder portrayal for transformers algorithm using particle swarm optimization for artificial intelligence generate essay detection Prasetyo, Tegar Arifin; Chandra, Rudy; Siagian, Wesly Mailander; Siregar, Horas Marolop Amsal; Siahaan, Samuel Jefri Saputra
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i6.pp5543-5554

Abstract

This research proposes a novel method for detecting artificial intelligence (AI)-generated essays by integrating the bidirectional encoder representations from transformers (BERT) model with particle swarm optimization (PSO). Unlike traditional approaches that rely on manual hyperparameter tuning, this study introduces a systematic optimization technique using PSO to improve BERT’s performance in identifying AI-generated content. The key problem addressed is the lack of effective, real-time detection systems that preserve academic integrity amidst rapid AI advancements. This optimization enhances the model’s detection accuracy and operational efficiency. The research dataset consisted of 46,246 essays, which, after data cleaning, were refined to 44,868. The model was then tested on 9,250 essays. Initial evaluations showed BERT's accuracy ranging from 83% to 94%. After being optimized with PSO, the model achieved an accuracy of 98%, an F1-score of 98.31%, precision of 97.75%, and recall of 98.87%. The model was deployed using a FastAPI-based web interface, enabling real-time detection and providing users with an efficient way to quickly verify text authenticity. This research contributes a scalable, automated solution for AI-generated text detection and offers promising implications for its application in various academic and digital content verification contexts.
Perancangan Mesin Pencacah Serai Wangi Menggunakan Metode AHOQ Guna Meningkatkan Produktivitas Pascapanen Wesly Mailander Siagian; Manaris Geraldo Silaban
Agriekstensia : Jurnal Penelitian Terapan Bidang Pertanian Vol. 23 No. 1 (2024): AGRIEKSTENSIA: Jurnal Penelitian Terapan Bidang Pertanian
Publisher : Politeknik Pembangunan Pertanian Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34145/agriekstensia.v23i1.3230

Abstract

PT. Benimel Tani Bestari is located in Humbang Hasundutan and an experimental garden in Gurgur, North Sumatra, this agricultural business is developing the manufacture of medicines or more precisely the essential oil obtained from citronella (cymbopogon winterianus), the process of obtaining citronella essential oil through the extraction process, in To produce essential oils, the process carried out is to harvest citronella, then the withering process is carried out in order to reduce the water content in the material glands, he continued, the distillation process whose output from the distillation is essential oils, but in the business of PT. Benimel Tani Bestari, he did not carry out the counting process which by chopping can expand the evaporation area so that it is easier to extract, the advantage obtained by chopping is that it produces a higher percentage (%) of essential oil yields, this study aims to design a citronella chopper using the AHOQ (Axiomatic House of Quality) method, with Based on several steps, the design and specifications of the chopper are obtained, namely having wheels, pulling rollers, hooks to attach the chopping container, producing 2 cm - 4 cm chops, with the engine working system using a diesel-fueled dynamo.
Perancangan produk tepat guna Pengupas, Pemipil dan Pengayak (3P) jagung berbasis Metode Value Engineering Wesly Mailander Siagian; Ondo Pasuna Siagian; Tegar Arifin Prasetyo; Muhammad Ilham Maulana
Productum: Jurnal Desain Produk (Pengetahuan dan Perancangan Produk) Vol 9, No 2 (2026)
Publisher : Institut Seni Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24821/productum.v9i2.17928

Abstract

One way to improve productivity, efficiency, product quality, and product value, while empowering farmers in agricultural enterprises, is through the development of agricultural technology. Previous studies have designed agricultural technology in the form of a corn husking, shelling, and sifting machine, referred to as the 3P machine. However, based on evaluation results, the machine still requires further development in several critical aspects. This study aims to develop the corn 3P machine and evaluate its effectiveness and efficiency. The methods used in this study include value engineering, while the machine design was developed using SolidWorks software. The result of this study is an appropriate technology product in the form of an integrated corn 3P machine with a working capacity of up to 936 kg/hour. The relatively affordable manufacturing cost makes this technology an economical and practical solution with the potential for widespread adoption by corn farmers.Published Date: 2026-07-26
Co-Authors Manaris Geraldo Silaban Muhammad Ilham Maulana Ondo Pasuna Siagian Rudy Chandra Siahaan, Samuel Jefri Saputra Siregar, Horas Marolop Amsal Tegar Arifin Prasetyo Tegar Arifin Prasetyo