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All Journal Jurnal Energi Dan Manufaktur Jurnal Optimasi Sistem Industri INOVTEK POLBENG INSIST (International Series on Interdisciplinary Research) Teknomekanik Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Mechanical Engineering for Society and Industry Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) METAL : Jurnal Sistem Mekanik dan Termal Jurnal Polimesin

Agus Sutanto

Jurusan Teknik Mesin, Fakultas Teknik Universitas Andalas Limau Manis, Padang, Sumatera Barat. 25163

Author-ID : 221582

Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Real-Time Identification of Yarn Irregularities on DTY Machine Through Vibration Monitoring Kurnia, Deni; Sutanto, Agus; Fakhrurroja, Hanif; Roni Wibowo, Nanang
Jurnal Polimesin Vol 22, No 6 (2024): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i6.5847

This paper presents an innovative real-time monitoring system for detecting yarn irregularities during the draw texturing process in DTY machine. The system uses advanced sensors to continuously measure vibration signals, which are then analyzed for anomalies. The system incorporates advanced sensors, controllers, and embedded software for monitoring the vibrations produced during the draw texturing process. Fast Fourier Transform (FFT) in LabVIEW converts these vibration signals into their frequency-domain representation. This helps identify anomalies that could indicate potential yarn irregularities. The results from the sensor data clearly indicate that amplitude values serve as a reliable measure for detecting yarn irregularities. For normal spindles, the amplitude ranges from 10.9 to 12.2 m/s², while abnormal spindles show significantly higher values, between 31.9 and 44.3 m/s². This distinction facilitates real-time classification of yarn quality. The system's ability to identify these amplitude variations promptly can significantly reduce waste and enhance quality control. Future developments will focus on integrating an intelligent early warning system that alerts operators immediately upon detecting irregularities, enabling quicker interventions and minimizing downtime.

Lean six sigma methodology for waste reduction in ship production Priyanda, Eko; Sutanto, Agus
Teknomekanik Vol. 6 No. 1 (2023): Regular Issue
Publisher : Universitas Negeri Padang

This study was conducted to reduce the amount of waste in ship production and assembly processes at PT ES. Several wastes during the ship production process result in the actual ship completion time being longer than the planning time set by the process planner. Therefore, accurate analysis is required to reduce waste. In this way, contributing factors can be identified, and more effective solutions can be obtained to reduce waste. This is done by implementing the Lean Six Sigma method (DMAIC processes) and several tools and methods, such as Pareto and fishbone diagrams and the FMEA method. The results show that the most critical potential root cause affecting production delays comes from the potential causes with the highest Risk Priority Number (RPN) value. The causes are welders who do not understand the WPS (RPN 432), unstable welding transformers (RPN 432), and unproductive loader movements (RPN 384). The recapitulation of welding defects produced in the production process at a sigma level of 2.48. Recommendations for the three potential critical wastes were made and planned for implementation. The estimated average RPN impairment for the three critical root causes was 32.3%. This condition will impact the total ship production time, which is 6% shorter (equivalent to 14 days) than the previous production time with a new sigma level of 2.55.

A Solution Approach on Reducing Defects in Batik Tanah Liek Production Process of a Small and Medium-sized Enterprise Agus Sutanto; Nilda Tri Putri; Tessa Alqifti; Sha'ri Mohd Yusof
Jurnal Optimasi Sistem Industri Vol. 23 No. 2 (2024): Published in January 2025 (published late, please read our note)
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Small and medium enterprises (SMEs) often struggle with implementing eﬀective quality management practices, especially in traditional industries like batik production. These challenges include ensuring consistent product quality to diﬀerentiate from competitors and attract customers. This study focuses on addressing quality control issues in small-scale Batik Tanah Liek production, where signiﬁcant defects persist. The research aims to assess existing practices, identify defect causes, and propose solutions to enhance product quality and reduce rejection rates. These eﬀorts contribute to improving production eﬃciency and supporting the sustainability of this traditional craft. The study employs a systematic approach combining quality management methodologies, including data collection, problem identiﬁcation, brainstorming, the Failure Mode and Eﬀects Analysis (FMEA) approach, and actionable recommendations. Data was gathered through a questionnaire to capture perspectives on defects and quality control issues in batik production. Key quality challenges identiﬁed include faded batik, torn fabric, and incorrect motifs. Analysis revealed that the primary cause of incorrect motifs is the malfunctioning canting tool, which hinders proper wax application. Additionally, defects in dyeing and boiling processes contribute to fabric fading and tearing, exacerbating quality issues. The ﬁndings underscore the need for systematic solutions, such as creating clear work instructions, designing Standard Operating Procedures (SOPs) for process consistency, and implementing preventive maintenance schedules for equipment. By addressing these issues, the study provides practical interventions to improve production quality. These measures not only enhance the economic viability of SMEs but also play a crucial role in preserving the cultural heritage of Batik Tanah Liek. The implications of this research highlight the potential for broader adoption of quality management practices in traditional industries to ensure their sustainability in competitive markets.

Manufaktur Berkelanjutan Pada Sampah Elektronik: Kasus Sampah Kulkas Agus Sutanto; Berry Yuliandra; Willy Pratama
Jurnal Optimasi Sistem Industri Vol. 16 No. 1 (2017): Published in May 2017
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.v16.n1.p25-33.2017

The growth of the Wastes from Electric and Electronic Equipments (WEEEs) or e-waste is presently considered to be one of the rapid increasing wastes streams in the large city of Indonesia. Concurrently, the urban mining activities for e-waste by informal sectors have potential on the economic, social and environment dimension. The three dimensions form a triple bottom line that supports the principles of sustainability in the manufacturing. In this research, the observation in some remote areas in Padang is conducted to find out the model of e-waste collection system activities from the household and its economic potential, especially for refrigerators e-waste. The result shows that minimaly there are three models of the e-waste collecting system for refrigerator e-wastes. The model involves all the parties in urban mining activities such as e-waste collectorsfrom household, repair shops, collectors who continue the re-assembly and classify the e-waste and final collectors who did the cleaning, crushing, packing and transporting e-waste to another city to do the recycling process. In this e-waste collecting model the components of refrigerator e-waste could be reused, remanufactured and recycled. From the reassembly of therefrigerators it is obtained the material composition of 58.1% iron, 26.3% plastic,10.9% styrofoam 10.9%, 2.1% aluminum, 1.8% copper pipe, and 0.8% others. The highest cumulative retained value is obtained from this collecting system ranged between IDR 230.200 to 355.200, where some second-hand components may still be inreuse and remanufacture. This price is equivalent to 14.9% to 22.1% the purchase price of a new refrigerator.

Pengembangan Aplikasi @Webplan untuk Perhitungan Waktu Standar pada Proses Perakitan Manual Agus Sutanto
Jurnal Optimasi Sistem Industri Vol. 9 No. 1 (2010): Published in April 2010
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Karya tulis ini berkenaan dengan pengembangan perangkat lunak berbasiskan Web untuk perhitungan waktu kerja standar yang merupakan sebuah modul tambahan pada aplikasi perangkat lunak untuk perancangan sistem kerja berbasiskan Web atau yang diberi nama @WebPlan® yang sudah dikembangkan oleh penulis. @WebPlan ini merupakan integrasi dari beberapa modul untuk perancangan tataletak dan disain stasiun kerja secara virtual 3D. Beberapa modul sudah dirancang sebelumnya yaitu modul untuk visualisasi produk dan strukturnya sehingga dimungkinkan visualisasi yang interaktif untuk proses perakitannya. Sedangkan modul utama dalam @WebPlan ini adalah 3D Facilities Layout dan disain/layout stasiun kerja. Untuk tujuan ini juga sudah dibuat beberapa alat bantu yaitu model manusia 3D untuk beberapa persentil dan beberapa analisa dan checklist ergonomi. Pengembangan aplikasi @WebPlan ini untuk perhitungan waktu standar pada produksi serial merupakan suatu yang sangat diperlukan untuk menentukan waktu total yang diperlukan dalam memproduksi/merakit sebuah produk. Waktu total ini merupakan data penting dalam membuat konfigurasi stasiun kerja untuk pembuatan produk. Metoda Pengukuran waktu perakitan yang dipakai dalam hal ini adalah MTM-UAS (Universal Analysing System) yang sangat cocok untuk perakitan manual. Hasil perhitungan waktu proses perakitan ini divalidasi dengan proses perakitan yang sebenarnya dan tidak menunjukkan perbedaan harga yang cukup signifikan. Beberapa kemudahan yang didapat pada metoda ini adalah MTM-UAS menggabungkan beberapa gerakan dan tidak terlalu detail dibandingkan metoda pengukuran waktu lainnya. Akan tetapi memiliki hasil yang cukup mendekati hasil yang sebenarnya. Modul aplikasi perhitungan waktu standar ini merupakan bagian yang diintergrasikan nantinya dalam perancangan tataletak dan stasiun kerja secara virtual 3D

Cloud Manufacturing: Tinjauan Literatur dan Pengembangan Layanannya untuk Perencanaan Fasilitas Produksi Agus Sutanto
Jurnal Optimasi Sistem Industri Vol. 13 No. 2 (2014): Published in October 2014
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.v13.n2.p725-742.2014

Cloud Manufacturing is an advanced manufacturing model which provides services by utilizing a shared resource pool such as computers, servers, networking, Internet and application softwares. The term Cloud Manufacturing in the engineering literature is still fairly new. it comes from the term Cloud Computing which is earlier known as Internet services on demand. Here includes Software as a Service (SaaS) along with infrastructure, platform and other delieveries as a service. First introduced by F. Tao in 2011, Cloud Manufacturing combines the latest technologies such as cloud computing, internet of thing, manufacturing object virtualizations and service-oriented computing services. The advanced manufacturing service models related to this terminology will be described as literatur reviews in this paper. At the end of this paper was given a case study of the application of the Cloud Manufacturing for designing a web-based production facilities layout as a cloud software as a service for the users.

Antara Desain Dan Product-Service Systems: Suatu Tinjauan Literatur Berry Yuliandra; Agus Sutanto; Rika Ampuh Hadiguna
Jurnal Optimasi Sistem Industri Vol. 12 No. 1 (2013): Published in April 2013
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.v12.n1.p335-342.2013

Persaingan bisnis global yang semakin ketat telah menyebabkan terjadinya pergeseran paradigma bisnis dari product-oriented menjadi penyediaan solusi yang memuaskan kebutuhan konsumen. Hal ini telah mendorong kemunculan konsep Product-Service Systems (PSS). Tulisan ini bertujuan untuk membahas hubungan antara konsep desain dan PSS berdasarkan literatur yang tersedia. Berdasarkan kajian yang dilakukan terhadap berbagai literatur tersebut dapat diambil kesimpulan bahwa PSS merupakan konsep yang diyakini sebagai jalan menuju sustainability melalui integrasi antara produk dan jasa dalam penyediaan solusi yang memenuhi kebutuhan spesifik konsumen. Proses desain PSS perlu memperhatikan kebutuhan konsumen dan stakeholder yang terkait melalui penggunaan metode dan pendekatan yang mampu mengintegrasikan pengembangan produk dan jasa dalam perspektif waktu yang sama.Evaluasi untuk mendukung keberhasilan implementasi PSS dapat dilakukan berdasarkan aspek sustainability, life cycle cost maupun berdasarkan perspektif konsumen dan penyedia.

Pengukuran Kualitas Jasa Bengkel Sepeda Motor SM di Kota Padang dengan Metode Servqual Agus Sutanto
Jurnal Optimasi Sistem Industri Vol. 10 No. 2 (2011): Published in October 2011
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.v10.n2.p154-159.2011

This paper is concerned with the measurement of customer satisfaction a motorcycle repair shop in the city of Padang on the quality of service received by the SERVQUAL method. The method was developed in the 1980s by Zeithaml, Parasuraman & Berry used a questionnaire to measure quality of service. With this, it is known how big the gap (gap) that exists between perceptions and expectations of customers of a service company. Method of quantitatively measuring the quality of this service, contains dimensions such as tangibles (physical facilities and personnel), responsiveness (responsiveness), realibility (reliability), assurance (security) and empathy (empathy). The purpose of the use of the SERVQUAL dimensions is to make program improvements in the control of service-oriented to customer satisfaction, as one of the company's strategy to empower Total Quality Service. From the analysis of 84 samples without weighting the data of interest can be concluded that there is a gap between perception with expectations in every dimension. The sequence starts from the dimensions of each dimension with the largest gap is tangible dimension, followed by the dimensions of assurance, reliability, empathy and responsiveness of the last dimension. The average total gap of each dimension is equal to -0.8664. This suggests that the quality of service expected by customers has not been achieved. From the analysis of the value obtained by the dimensional weight of the interests of tangible (physical facilities and personnel) should get the greatest attention to be fixed.

Mapping IoT Applications in the Textile Industry: A Bibliometric Study using Biblioshiny and VOSviewer Kurnia, Deni; Sutanto, Agus; Fakhrurroja, Hanif; Son, Lovely
Proceedings of Universitas Muhammadiyah Yogyakarta Graduate Conference Vol. 5 No. 2 (2025): Fostering Gen Z for Sustainable Development and Renewable Energy
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/grace.v5i2.677

The rapid advancement of technology, particularly the Internet of Things (IoT), has had a transformative impact on various industries, including the textile sector. IoT facilitates real-time data collection, monitoring, analysis, and decision-making, thereby enhancing efficiency, productivity, and resource sustainability. However, a comprehensive bibliometric study of IoT applications in the textile industry has yet to be undertaken. To address this research gap, this study employs bibliometric methods using the Biblioshiny R package and VOSviewer to examine research trends, key contributors, and emerging themes. By analyzing 177 relevant publications from 2015 to 2025, the study identifies major research directions, influential authors, leading institutions, and evolving areas of interest. The findings highlight a growing research focus on IoT-driven textile innovations, particularly the development of electronic textiles (e-textiles), which integrate electronic components into wearable devices for human use. This positioning of e-textiles at the forefront of smart wearable technology underscores their significance as a critical area of exploration within contemporary textile engineering. Furthermore, China, the United States, and India emerge as the predominant contributors to this research domain. The insights derived from this study offer valuable guidance for researchers, industry professionals, and policymakers, supporting future advancements and innovations in IoT applications within the textile industry.

Smart vibration sensing and predictive analytics for intelligent textile manufacturing: An IoT-edge and machine learning method Deni Kurnia; Agus Sutanto; Hanif Fakhrurroja; Lovely Son
Mechanical Engineering for Society and Industry Vol 5 No 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.13588

This study aimed to propose an IoT-Edge method for detecting vibration abnormalities in Textile Manufacturing, specifically on Draw Texturing Yarn (DTY) machines using an ADXL345 sensor and a Machine Learning Algorithm. The proposed system incorporated wireless sensor nodes, the MQTT protocol, Fast Fourier Transform (FFT) analysis, and a tuned Random Forest (RF) classifier to enable real-time monitoring as well as predictive maintenance. During the analysis, vibration data were collected from 13 spindles, with features extracted in both time as well as frequency domains to distinguish between normal and abnormal machine conditions. The RF model, optimized through hyperparameter tuning, achieved an accuracy of 97%, significantly outperforming the Support Vector Machine (SVM) baseline, which reached 71%. Major results showed the effectiveness of energy and centroid features in fault detection, with the Z-axis vibration proving to be a good indicator of yarn defects. The system presented low latency (average 20.37 ms) in data transmission using the MQTT protocol, ensuring practical deployability. This study offered a scalable and cost-effective solution for industrial vibration monitoring, bridging gaps in real-time processing and seamless IoT incorporation to support predictive maintenance in textile manufacturing.

Co-Authors Adriansyah Adriansyah Akmal Indra Akmal Indra Alfian Alfian Anita Susilawati Berry Yuliandra Deni Kurnia Deni Kurnia Fakhrurroja, Hanif Farchan - Vernando Hanif Fakhrurroja Hendris Prasojo Ismet Hari Mulyadi Lovely Son Lovely Son, Lovely Mahardika, Muladi Muhammad Ardi Muhammad Dani Gitatisna Nilda Tri Putri Nota Effiandi Priyanda, Eko Rika Ampuh Hadiguna Sha'ri Mohd Yusof Tessa Alqifti Wibowo, Nanang Roni Willy Pratama

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