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Journal : Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri

Multi-response Characteristics Optimization of a Paper-based Composite using Taguchi Method and Particle Swarm Optimization Pangestu, Phengky; Qurrota Ayun, Azizah Hadny; Wulandari, Rizca Tri; Nabilah, Ekty; Pujiyanto, Eko
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (539.927 KB) | DOI: 10.9744/jti.22.1.53-62

Abstract

Our dependency towards wood has reduced the number of forests especially in Indonesia. Hence, many people tried to use another material as a replacement of wood. One of them is composite. Department of Industrial Engineering Universitas Sebelas Maret has developed paper-based composite using newspaper waste in Praktikum Perancangan Teknik Industri (PPTI) II. Unfortunately, the quality of composite is not so good. This paper tried to understand the effect of factors to responses and discover the best combination of factors to obtain the best responses. The responses of this experiment are tensile strength, bending strength and impact value. The factors of this experiment are paper pulp, PVAc glue and water. Taguchi method is used to find the appropriate orthogonal array and Particle Swarm Optimization method to find the optimum combination of the factors. Orthogonal array used in this experiment is L9 (34).  Through analysis, all of the factors are significant to tensile and bending strength, but they are not significant to impact value. The best combination of factors is 175 grams paper pulp, 130 grams PVAc glue and 175 ml water. Optimum results obtained for tensile strength is 0.7595 N/mm2, bending strength is 4.873 N/mm2 and impact value is 0.0138 J/mm2.
Multi-Objective Optimization of Machining Parameters for Multi-Pass CNC Turning to Minimize Carbon Emissions, Energy, Noise and Cost Fittamami, Bening Maulina; Pujiyanto, Eko; Priyandari, Yusuf
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 23 No. 1 (2021): June 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.1.25-34

Abstract

Global warming is a huge environmental issue today. This is due to the high level of world carbon emissions. The manufacturing process accounts for 30% of the world's carbon emissions production.  Sustainable manufacturing is necessary to implement to reduce carbon emission levels caused by the manufacturing process. There are three aspects of sustainable manufacturing, namely environmental aspects, economic aspects, and social aspects. These three aspects can be implemented in the machining process by optimizing machining parameters in multi-pass CNC turning. This research aims to optimize CNC turning machining parameters by considering energy consumption, carbon emissions, noise, and production cost. The model is solved using a Multi-objective Genetic Algorithm in Matlab 2016b then the transformation and weighting functions are carried out from the feasible value. Based on the optimization results, the total energy consumption value obtained is 2.50 MJ; total production cost is $ 2.19; total carbon emissions are 5.97 kgCO2, and noise is 236, 19 dB. The sensitivity analysis exhibits the machining parameters that affect the objective function: The cutting speed parameter and the feed rate parameter. This model can be used to improve the manufacturing process and support sustainable manufacturing.
Enhancing Tablet Product Experience on AliExpress: A Data-Driven Analysis of Online Customer Reviews Isak, Mukhtar Adan; Laksono, Pringgo Widyo; Pujiyanto, Eko
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 26 No. 2 (2024): December 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.26.2.171-180

Abstract

In the competitive e-commerce landscape, understanding customer experience is critical for businesses to enhance satisfaction and drive sales, particularly for tablet products. This study provides in-depth insights into customer experiences with tablet products on the AliExpress platform by analyzing 4,469 online reviews through sentiment analysis and topic modeling. The sentiment analysis reveals that while a significant portion of reviews are neutral to slightly negative, the overall sentiment is positive, indicating general satisfaction. Topic modeling uncovers key themes, with positive discussions centered around fast delivery, value for money, and children's enjoyment, while negative themes highlight issues with screen performance, customs processes, and unexpected taxes, particularly for Brazilian customers. Temporal analysis shows dynamic spikes in topics like fast delivery and cost-benefit during specific periods. These findings provide actionable guidance for businesses and manufacturers to optimize tablet quality, logistics, and marketing strategies to meet the needs and preferences of their target audience better.