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All Journal Jurnal Teknik Informatika (JUTIF) Recent in Engineering Science and Technology
Matsaany , Bayun
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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ASPECT EXTRACTION OF E-COMMERCE AND MARKETPLACE APPLICATIONS USING WORD2VEC AND WORDNET PATH Sari, Dhani Ratna; Matsaany , Bayun; Hamka, Muhammad
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.726

Abstract

Aspect extraction is an essential element in Aspect-Based Sentiment Analysis (ABSA). Errors in determining aspects of ABSA will result in errors in determining the sentiment of an opinion and the accuracy value of ABSA. This study aims to obtain elements of opinion sentences on using e-commerce applications and marketplaces in Indonesia. Corrections of the statement were sourced from social media Twitter with the keywords "e-commerce" and "marketplace" from August 2020 to January 2022, and a total of 54,244 comments were obtained. Determination of the words that are candidate aspects is selected using POS Tagging for classes of noun singular (NN), noun plural (NNS), proper noun singular (NNP), and proper noun plural (NNPS).
Optimization of Bipolar Plate Machining Process Using the Taguchi Method on CNC 3-Axis Maladzi, Radhi; Mulyana, Fajar; Matsaany , Bayun; Yudisha, Nabila; Risfi, Muhammad Prasha; Rahman, Fio Izzafur; Ramadhan, Bilal; Alam, Zezero Meo Cahaya
Recent in Engineering Science and Technology Vol. 4 No. 01 (2026): RiESTech Volume 04 No. 01 Years 2026
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v4i01.140

Abstract

This study aims to optimize the machining parameters of bipolar plates using a CNC 3-axis milling machine based on the Taguchi method. Bipolar plates play a crucial role in proton exchange membrane fuel cells (PEMFCs), where dimensional accuracy and surface quality directly affect cell performance. The machining parameters considered in this research include spindle speed, feed rate, and depth of cut. An L9 orthogonal array was selected to design the experiments, and surface roughness as well as material removal rate (MRR) were evaluated as performance characteristics. Signal-to-noise (S/N) ratio analysis was applied to determine the optimal parameter combination. The results show that spindle speed and feed rate have the most significant influence on surface roughness, while depth of cut mainly affects the MRR. The optimal setting obtained was 3500 rpm spindle speed, 300 mm/min feed rate, and 0.2 mm depth of cut, which produced the lowest surface roughness and acceptable MRR. The confirmation experiment validated the Taguchi model prediction with an error of less than 5%. These findings demonstrate that the Taguchi method is an effective tool for optimizing CNC machining parameters of bipolar plates, improving both quality and manufacturing efficiency.
Co-Authors Alam, Zezero Meo Cahaya Dhani Ratna Sari, Dhani Ratna Fajar Mulyana Maladzi, Radhi Muhammad Hamka Nabila Yudisha Rahman, Fio Izzafur Ramadhan, Bilal Risfi, Muhammad Prasha