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All Journal Jurnal Simetris CAUCHY: Jurnal Matematika Murni dan Aplikasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Sosioteknologi Jurnal Optimasi Sistem Industri Jurnal Ilmiah Teknik Industri Briliant: Jurnal Riset dan Konseptual Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Technomedia Journal Journal of Robotics and Control (JRC) Indonesian Journal of Industrial Engineering & Management Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Prosiding Konferensi Nasional PKM-CSR International Journal of Applied Sciences in Tourism and Events Applied Research in Science and Technology Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Jurnal Standardisasi International Journal of Science, Technology and Applications
Pringgo Widyo Laksono
Jurusan Teknik Industri, Universitas Sebelas Maret, Jl. Ir. Sutami No. 36 A, Surakarta 57126
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Systematic Review of Kansei Engineering Method Developments in the Design Field Hakim, Afif; Suhardi, Bambang; Laksono, Pringgo Widyo; Ushada, Mirwan
Jurnal Optimasi Sistem Industri Vol. 23 No. 1 (2024): Published in July 2024
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v23.n1.p92-108.2024

Abstract

Kansei engineering is a critical method for designing products that meet functionality, usability, and pleasurability, essential elements for business success. Despite its significance, there is limited understanding of how this method has evolved in recent years. This study aims to analyze the development of Kansei Engineering research from 2018 to 2022 using the Scopus database. The research methodology involved stages of identification, screening, filtering, and inclusion, resulting in 41 articles for detailed analysis out of an initial 215. The results indicate that 85% of Kansei Engineering research focuses on tangible products, with 83% categorized as type 1 studies, and 56% not integrating other methods. Additionally, 88% of the studies use only Kansei words, and 41% visualize design results as 3D images, with 95% not considering unique aspects. is dominance of tangible product design and the lack of integration with other methods suggest a need for diversification in research approaches. Furthermore, the high reliance on Kansei words and 3D visualizations points to a potential area for innovation and expansion in research techniques. This review highlights a significant research gap in Kansei Engineering studies, emphasizing the need for more diversified approaches. By identifying these gaps, the study provides a clear direction for future research, recommending that Kansei Engineering should explore beyond the predominant trends and consider integrating with other methods and unique aspects. This can enhance the method's application in industrial engineering and lead to more comprehensive and innovative product designs. Future research should aim to fill these gaps, ensuring that Kansei Engineering continues to evolve and contribute effectively to the field of product design and development.
Optimal PLA+ 3D Printing Parameters through Charpy Impact Testing: A Response Surface Methodology Suryadarma, Engelbert Harsandi Erik; Laksono, Pringgo Widyo; Priadythama, Ilham
Jurnal Optimasi Sistem Industri Vol. 23 No. 1 (2024): Published in July 2024
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v23.n1.p76-91.2024

Abstract

Additive manufacturing (AM) has revolutionized the manufacturing sector, particularly with the advent of 3D printing technology, which allows for the creation of customized, cost-effective, and waste-free products. However, concerns about the strength and reliability of 3D-printed products persist. This study focuses on the impact of three crucial variables—infill density, printing speed, and infill pattern—on the strength of PLA+ 3D-printed products. Our goal is to optimize these parameters to enhance product strength without compromising efficiency. We employed Charpy impact testing and Response Surface Methodology (RSM) to analyze the effects of these variables in combination. Charpy impact testing provides a measure of material toughness, while RSM allows for the optimization of multiple interacting factors. Our experimental design included varying the infill density from low to high values, adjusting printing speeds from 70mm/s to 100mm/s, and using different infill patterns such as cubic and others. Our results show that increasing infill density significantly boosts product strength but also requires more material and longer processing times. Notably, we found that when the infill density exceeds 50%, the printing speed can be increased to 100mm/s without a notable reduction in strength, offering a balance between durability and production efficiency. Additionally, specific infill patterns like cubic provided better strength outcomes compared to others. These findings provide valuable insights for developing stronger and more efficient 3D-printed products using PLA+ materials. By optimizing these parameters, manufacturers can produce high-strength items more efficiently, thereby advancing the capabilities and applications of 3D printing technology in various industries.
Implementasi Convolutional Neural Network untuk Klasifikasi Ekspresi Wajah Penonton Stand Up Comedy Kurnia Akbar, Agus; Laksono, Pringgo Widyo; Jauhari, Wakhid Ahmad
International Journal of Science, Technology and Applications Vol 2 No 2 (2024): Volume 2 Number 2 Tahun 2024
Publisher : Alpatih Harapan Semesta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70115/ijsta.v2i2.215

Abstract

Stand Up Comedy is one of the growing entertainment industries in Indonesia. The quality of the joke of the stand up comedian can be seen from the audience's response in the form of laughter and facial expressions. But it is very difficult to determine the audience's laughter level manually. Therefore, a tool is needed to measure the audience's laughter level more objectively. In this study, a machine learning model was designed and developed using a convolutional neural network to analyze the facial expressions of the stand-up comedian audience. The research stages include dataset collection, data preprocessing, model design, model training and model testing. The model was tested using artificial data from crowd emotion and live data from video crowd viewers. The results of this study show that the model can classify facial expressions in image and video data well. The model has an overall validation accuracy value of 72.42% with precision, recall, and F1-score values of 0.7341, 0.7309, and 0.7294, respectively, and a testing accuracy of 83.28% with precision, recall, and F1-score values of 0.8477, 0.8329, and 0.8297, respectively.
Strategi Analisis SWOT pada Pengembangan Website Pusat Studi: Dukungan Diseminasi Persebaran Informasi: SWOT Analysis Strategy in Developing Study Center Websites: Supporting the Dissemination of Information Damayanti, Retno Wulan; Setiadi, Haryono; Laksono, Pringgo Widyo; Triyono, Joko
Technomedia Journal Vol 9 No 3 (2025): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v9i3.2166

Abstract

The Center for Research and Development of Technology and Industrial Collaboration, which is part of the Sebelas Maret University Research and Community Service Institute (PKPTKI LPPM UNS) in 2023, requires the development of an agency website for the dissemination and distribution of information to the public. \textbf{The main objective} is to provide information on research products and services that need to be promoted to the wider community. This website is expected to support the socialization of research results, PKPTKI member consultation services, and collaboration results and other activities. Through qualitative research using primary data obtained through Forum Group Discussion (FGD), this research produced a bilingual PKPTKI website. The SWOT (Strength, Weakness, Opportunity, Threat) analysis process was carried out through brainstorming activities with 4 members and 6 PKPTKI partners, and the results were used to map website needs, technical design and website content, and overall evaluation. The strategies resulting from the SWOT analysis involve developing a backend system to improve the PKPTKI website in English, scheduling consistent content updates, coordinating with the UNS ICT unit for website security, and preparing administrative SOPs for risk mitigation. The final result of this study is an effective PKPTKI website for widespread information dissemination and supporting interaction with various parties, including industry partners, practitioners, and national and international researchers.
A Goal Programming Model for Joint Decision Making of Order Allocation, Supplier Selection, and Carrier Selection Considering Corporate Social Responsibility Rosyidi, Cucuk Nur; Khasanah, Alfia Makrifatul; Laksono, Pringgo Widyo
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 1 (2022): June 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.24.1.45-52

Abstract

Every company aims to maximize its profit to survive and maintain business growth. However, it has to allocate some of the profit to the community development in the form of corporate social responsibility. Along with the importance of the development of Corporate Social Responsibility (CSR), many companies consider the social effects of their supply chain activities. In this paper, we address a problem determining the optimal order allocation, carrier selection, and the amount of CSR in a single product, multi-suppliers, and multiple periods environment. A goal programming model was developed to solve the problem by considering all-unit quantity discounts, the lateness of deliveries, and rejections. LINGO 18.0 was used to solve the model. The results of optimization show that all the goals are achieved. Based on the sensitivity analysis results, the proposed model is relatively insensitive to the goals of the profit and social value unless at the increases of 24% of both goals. For the goals of defect items and late delivery items, both goals affect the objective function when each goal is decreased. Hence, the decision-maker has to be careful in setting the goals.
A Multi-Objective Optimization Model for Home Health Care Routing and Scheduling with a Case Study Rosyidi, Cucuk Nur; Ramadandhyna, Annisa Puja; Laksono, Pringgo Widyo
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.131-140

Abstract

Home health care (HHC) is a health service provided by a hospital so that patients can be taken care of at their homes. Assigning multiple caregivers to serve patients during working hours is one of the main issues in HHC planning. In this study, multi-objective mixed-integer nonlinear programming was formulated for HHC daily planning. The model aims to simultaneously minimize total service time, total traveled distance, total cost comprising the opportunity loss from unvisited patients and penalty cost due to the violation of gender preference, and total carbon emissions generated by the caregiver’s vehicle. Using real data from Dr. Moewardi Hospital, a case study was provided in order to show the applicability of the model. The model can be utilized to assist the HHC coordinator in determining the optimal schedule and routing of HHC visits.
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.
Improving Veterinary Service Efficiency: Optimizing Home Visit Routes for Pet Clinics Using Particle Swarm Optimization Algorithm Chrissandhi, Erico Sofyan; Pratiwi, Christa Dian; Laksono, Pringgo Widyo
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i3.25971

Abstract

High-stress levels can trigger other diseases if emotions are not channeled to reduce the feeling of stress. The stress-releasing activity that is currently trending is keeping animals, especially cats and dogs. Having a pet triggers awareness of the importance of pet care, especially in the context of home visiting services, highlighting the need for increased effectiveness of veterinary services. Determining a short route for veterinarians to visit their patients in a certain area is necessary in planning for pet clinics with home visit services. In the context of home visits by pet clinics, the Traveling Salesman Problem (TSP) is used to determine the most efficient route veterinarians can use when visiting many patients in a certain area by minimizing the total distance traveled to save time. This research uses the Particle Swarm Optimization (PSO) algorithm with 2-opt logic to solve the TSP problem. This TSP optimization was completed by utilizing Google Colab as a machine learning computing medium using Python. The results of optimizing the total distance for the best routes of home visits to pet clinics was 292.81 kilometers. This research can still be developed for more complex routes and have requirements for each route destination, such as visiting time for each patient and distance between destination points. The research is expected to impact the welfare of pets and meet community needs positively.
Kinematic Analysis of Wrist and Elbow Angles in Badminton Serve Techniques Based on IMU Sensors Larasaty, Perwita Aura; Laksono, Pringgo Widyo; Suhardi, Bambang
Applied Research in Science and Technology Vol. 5 No. 1 (2025): Applied Research in Science and Technology
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/areste.v5i1.66

Abstract

Background: Motion capture technology is essential in sports biomechanics for analyzing human movement. Inertial Measurement Unit (IMU) sensors offer a practical alternative to camera-based systems, providing real-time motion analysis. While previous studies in badminton biomechanics have largely focused on stroke phases or lower-limb movements using optical systems, few have investigated the detailed angular behavior of upper-limb joint-particularly the wrist and forearm during specific serve types. Moreover, existing research rarely compares different serve techniques in terms of kinematics using wearable IMU-based methods.Aims: This study aims to analyze angular movement patterns of the wrist and forearm during different badminton serve techniques using IMU sensor. Understanding the wrist and forearm movements is crucial, as they directly affect shuttle control, serve conssitency, and injury risk- especiaally in high-spedd, repetitive motions like the badminton serve.Methods: Sensors were placed on the dorsum of the hand and the forearm near elbow to measure angular motion in three serves: backhand, short forehand, and long forehand.Result: Results indicate that the centroid calculation results showed that each type of serves had a different angular distribution pattern, with varying contributions from the forearm and wrist. The forearm plays a dominant role in generating power, while the wrist contributes more to directional control and stabilization. Results indicate that forearm movement is more dominant in forehand serves, while wrist movement is more pronounced in backhand serves. These findings suggest that IMU-based motion analysis can optimize badminton techniques, prevent injuries, and enhance training programs.
A systematic review of safety issues in tourism: Identifying emerging threats and proactive responses Daeng Masiki, Andri; Suhardi, Bambang; Laksono, Pringgo Widyo
International Journal of Applied Sciences in Tourism and Events Vol. 9 No. 1 (2025): June 2025
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/ijaste.v9i1.79-84

Abstract

The study conducted a systematic review of seven scientific articles published between 2014 and 2024 to uncover emerging safety concerns in the tourism industry and suggest preventive measures. The identified safety threats in the sector include environmental risks, health issues, crime, terrorism, and digital dangers. Solutions like mobile safety apps and smart devices are being utilized to address these risks. The research aligns tourism safety strategies with Protection Motivation Theory (PMT) and proposes a multi-level intervention framework encompassing individual, organizational, and government actions. The study aims to contribute both theoretically by linking safety strategies with PMT and practically through the development of a comprehensive safety planning approach for sustainable tourism.
Co-Authors Afif Hakim Anastasia Febiyani Aqshal Raffa Sandito Assahda, Talitha Nabila Bambang Suhardi Chrissandhi, Erico Sofyan Christa Dian Pratiwi CUCUK NUR ROSYIDI Cucuk Nur Rosyidi Daeng Masiki, Andri Dwicahyani, Anindya Rachma Eko Pujiyanto Fakhrina Fahma Ferdinanda Pascha Hasian Florentina Ardiani Wibowo Heru Prastawa Ilham Priadythama Irwan Iftadi Isak, Mukhtar Adan Joko Triyono Kadita, Maria Khasanah, Alfia Makrifatul Kurnia Akbar, Agus Larasaty, Perwita Aura Lobes Herdiman Mirwan Ushada Pramudya, Risang Ardi Toni Pujiyanto, Eko Ramadandhyna, Annisa Puja Retno Wulan Damayanti Retno Wulan Damayanti Rizky, Dania Latifa Safira Nariswari Setiadi, Haryono Suhaimi, Muhammad Syaiful Amri Bin Sulistiani, Nina Salsabila Suryadarma, Engelbert Harsandi Erik Wakhid Ahmad Jauhari WAKHID AHMAD JAUHARI Yoseph Tri Minarto Yoseph Tri Minarto, Yoseph Tri Yoshan Ardhi Pratama