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All Journal Majalah Forum Teknik UGM Jurnal Teknoin Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknosains Journal of Engineering and Technological Sciences Majalah Kedokteran Gigi Indonesia Seminar Nasional Informatika (SEMNASIF) Journal of Mechanical Engineering Science and Technology Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Angkasa: Jurnal Ilmiah Bidang Teknologi Jurnal Sistem Cerdas IJIES (International Journal of Innovation in Enterprise System) Journal of Appropriate Technology for Community Services Jurnal E-Komtek Buletin Profesi Insinyur JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Teknik Informatika (JUTIF) TIERS Information Technology Journal International Journal of Industrial Engineering and Engineering Management Journal of Material Processing and Characterization (JMPC) JISMA: Jurnal Ilmu Sosial, Manajemen, dan Akuntansi Applied Science and Technology Research Journal Dinamika Kerajinan dan Batik: Majalah Ilmiah
Muhammad Kusumawan Herliansyah
Department Of Mechanical And Industrial Engineering, Faculty Of Engineering, Universitas Gadjah Mada. Jl. Grafika 2, Yogyakarta 55281, Indonesia
Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Bibliometric Analysis: Research on Batik in International Publications Denny Sukma Eka Atmaja; Herianto Herianto; Muhammad Kusumawan Herliansyah; Andi Sudiarso
International Journal of Innovation in Enterprise System Vol 7 No 02 (2023): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v7i02.226

Abstract

Batik is an Indonesian cultural tradition that carries profound philosophical meanings embedded in its patterns and high artistic value. This is evident from its early origins when batik was used within a very limited keraton environment. Now it has become a commodity of the Indonesian creative industry that has ventured into the global market. This paper addresses the following issues: the annual number of international scholarly publications in the field of batik to be published in Scopus, the productivity of researchers working in the field of batik, and the methodology for using keywords to map the development of international research publications on batik. Based on the discussion and simulation using VOSviewer software, it can be concluded that the development and growth, especially in the field of batik, from 2012 – 2022, indexed in Scopus, reached 213 publications (18.73%) in 2020. The majority of publications in the field of batik were published in the IOP Conference Series: Earth and Environmental Science. Diponegoro University is the institution that has published the most research in the field of batik, and Indonesia is one of the countries with the highest contributors. The researcher with high productivity in the field of batik is Widiaty, I, with a total of 15 publications from 2012 to 2022, specifically in the field of batik. Regarding the development map of the field of batik based on co-word analysis, there are 7 clusters, where new research topics are identified that can still be further developed, especially in the field of batik.
Selection of Material and Manufacturing Technology for Batik Canting Stamps Based on Multi-Criteria Decision-Making Methods Joni Setiawan; Andi Sudiarso; Isananto Winursito; Muhammad Kusumawan Herliansyah
Journal of Engineering and Technological Sciences Vol. 55 No. 4 (2023)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2023.55.4.7

Abstract

This study aimed to develop alternative materials and technologies for making canting stamps used in producing batik canting (stamped batik) to transfer hot wax from the pan to the fabric. Previous researchers have studied materials such as wood, aluminum, multiplex, acrylic, and acrylonitrile butadiene styrene (ABS). Manufacturing technologies have also been analyzed, including manual manufacturing, computer numerical control (CNC) milling, laser cutting, and additive manufacturing. However, none of these materials and technologies were considered suitable alternatives for copper canting stamps. This paper proposes Conductive ABS-Electroformed By Copper (CABS-EBC) through additive manufacturing and electroforming processes as alternative material for canting stamps. A multi-criteria decision-making (MCDM) approach was used to assess alternative materials and technologies. The alternatives and criteria were calculated using the Simple Additive Weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Preference Ranking Organization Method of Enrichment Evaluation (PROMETHEE) techniques. Besides this, assessment was also carried out based on expert opinions. The results showed that copper was the most suitable material, with Closeness = 1.000, Yi = 0.995, and Phi = +1.00. Meanwhile, CABS-EBC ranked second, with Closeness = 0.627, Yi = 0.864, and Phi = +0.50. The selected technology was additive manufacturing combined with electroforming, with Closeness = 0.700, Yi = 0.895, and Phi = +0.39. By using MCDM on the material-technology development candidates it was found that CABS-EBC processed with additive manufacturing is capable of substituting copper as a canting stamp material. It is expected that the production capacity of the traditional manufacturing process can be enhanced by adopting these new materials and technologies.
Techniques for Improving Genetic Algorithms in Solving Operating Room Scheduling Problems: An Integrative Review Yuniartha, Deny Ratna; Normasari, Nur Mayke E.; Waluyo, Joko; Masruroh, Nur Aini; Herliansyah, Muhammad Kusumawan
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 1 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i1.8903

Abstract

Operating room scheduling is a complex process that involves various resources and takes the interests of many parties into consideration. The genetic algorithm is the frequently used metaheuristic algorithm to solve a large-size operating room scheduling problem. Many techniques have been developed to improve the genetic algorithms' performance in dealing with the operating room scheduling complexity. In this paper, we survey available literature to identify improvement techniques used at each stage of the genetic algorithm and capture the underlying problems. This review provides a mapping of improvement techniques in genetic algorithms correlating with the considered problems. The results can be employed by other researchers as a guide for future research in integrating a genetic algorithm or other population-based metaheuristic algorithm with a recent heuristic algorithm following the future directions of operating room scheduling research.
New Product Development Method Trends and Future Research : A Systematic Literature Review Khannan, Muhammad Shodiq Abdul; Tontowi, Alva Edi; Herliansyah, Muhammad Kusumawan; Sudiarso, Andi
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.23.1.11-24

Abstract

Research on new product development (NPD) has led to tools, methods, models, and frameworks that enable researchers to develop better products. However, a comprehensive review of the methods, models and frameworks related to NPD is lacking. This literature study aims to identify research trends, methods, and frameworks used in NPD between 2010 and 2019. A systematic literature review is conducted by developing a structured research protocol. An analysis of 50 selected papers shows that research on NPD can be categorized into 15 conceptual papers, six review papers, 28 case studies, and one survey paper. This paper provides an overview of each tool and presents future research opportunities. This paper concludes that future research can be directed toward combining several methods to design products that satisfy consumer desires with shorter design times, aspects of NPD collaboration, and aspects of changing consumer preferences.
Comparison of 3D Printing Technologies for Polymer-HA Bone Scaffolds: A Systematic Review Toward Hybrid Fabrication Strategies Kumarajati, Dhananjaya Yama Hudha; Herianto; Herliansyah, Muhammad Kusumawan; Kusmono; Tontowi, Alva Edy
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8230

Abstract

Bone scaffold fabrication using 3D printing faces a fundamental dilemma: the trade-off between mechanical strength and biological functionality. To address this challenge, a systematic literature review (SLR) of 28 primary research articles was conducted to compare various hydroxyapatite-based scaffold fabrication technologies. The analysis confirms a clear trade-off: Fused Filament Fabrication (FFF) excels in mechanical strength, Digital Light Processing (DLP) in architectural precision (<100 µm), and Direct Ink Writing (DIW) in flexibility for bio-functionality, proving no single method is ideal. The main conclusion is that hybrid fabrication strategies—intelligently integrating the strengths of multiple technologies—offer the most promising approach to creating functional scaffolds with an optimal balance of strength and bioactivity for future clinical applications.
Technology Trends, Innovations, and Future Research Directions in 3D Printing (Additive Manufacturing): A Systematic Literature Review Santoso, Banu; Dhananjaya Yama Hudha Kumarajati; Herianto; Alva Edy Tontowi; Muhammad Kusumawan Herliansyah
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8232

Abstract

3D printing or Additive Manufacturing (AM) technology has experienced rapid growth in the past five years, driven by the integration of new technologies such as artificial intelligence (AI), bio- and nano-composite materials, and blockchain-based security systems. This study aims to analyze technology trends, key innovations, and predict future research directions in AM using a Systematic Literature Review (SLR) approach to 80 Scopus/WoS indexed articles. The results show that AI plays a central role in improving production efficiency and accuracy, while material innovations expand AM applications to the medical and aerospace sectors. In addition, the application of 4D printing and blockchain is beginning to form a new paradigm in intelligent and decentralized manufacturing. The 2025–2030 research roadmap compiled from these findings shows a strategic focus on adaptive AI, multifunctional bioinks, modular manufacturing systems, and full integration between AM, blockchain, and smart materials. This study not only identifies research trends and gaps but also offers strategic contributions to the development of future AM technologies in a more adaptive, sustainable, and secure manner.
Characterization of Curcumin as a Coating Material for Polymer-Free Stents in Terms of Morphology and Release Putri Akhmad Yani, Ameliyana Rizky Syamara; Herliansyah, Muhammad Kusumawan
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 9, No 1 (2025)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v9i12025p074

Abstract

The use of bare metal stents over the long term often leads to the re-narrowing of blood vessels, prompting a shift to drug-eluting stents (DES). However, the use of polymers in DES has been known to trigger inflammation and thrombosis in the arteries. As an alternative, polymer-free drug-eluting stents (PF-DES) have emerged as a safer option. In this study, curcumin was selected as the primary coating material for PF-DES using the electrophoretic deposition method. The effects of varying curcumin concentrations (125 µg/ml, 250 µg/ml, and 500 µg/ml) were examined to understand their impact on deposition morphology, coating weight, chemical bonding characteristics, and curcumin release using scanning electron microscopy, ultraviolet-visible spectrophotometry, and Fourier transform infrared spectroscopy. The results showed that increasing the amount of curcumin resulted in a heavier and rougher coating, with deposition weights of 573.22 μg/cm², 1198 μg/cm², and 11954 μg/cm², after coated with curcumin concentrations of 125 µg/ml, 250 µg/ml, and 500 µg/ml, respectively. The curcumin release process was comprised of three phases: an initial burst, a slower release, and a second burst, which completed the release over more than 40 days. The efficacy of curcumin as a coating for PF-DES facilitates a controlled and steady release of the drug.
Comparative Analysis of YOLOv5n and YOLOv8n Deep Learning Models for Precision Detection of Klowong Defects in Batik Fabric Hamidi, Rifqi Restu; Herliansyah, Muhammad Kusumawan; Atmaja, Denny Sukma Eka; Sudiarso, Andi
TIERS Information Technology Journal Vol. 6 No. 1 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i1.6499

Abstract

This study presents a comparative analysis of two deep learning object detection models, YOLOv5n and YOLOv8n, for the precies identification of Klowong defects in batik fabric. The evaluation was carried out using a custom dataset consisting of 3,138 annotated images, with 921 allocated for testing and containing 1,295 defect instances across nine defect classes. The main findings show that YOLOv8n outperforms YOLOv5n in both speed and accuracy. YOLOv8n achieved a higher F1-score of 0.87 at a lower confidence threshold (0.297), compared to YOLOv5n’s F1-score of 0.86 at a higher threshold (0.46). In addition, YOLOv8n reduced training time significantly (0.320 hours vs. 0.868 hours) and delivered much faster inference speed (2.9 ms/image), nearly three times quicker than YOLOv5n. Although both models performed well in detecting common defects, YOLOv8n showed more stable results on complex defect types. These improvements make YOLOv8n more suitable for real-time applications in batik production environments. Its efficiency and accuracy support the development of fast and reliable automated quality control systems in traditional textile industries. This research emphasizes the importance of using modern lightweight architectures like YOLOv8n to enhance defect detection performance in practical manufacturing settings.
Multi-architectural Transfer Learning CNN for Klowong Batik Fabric Defect Classification Pratama, Dhika Wahyu; Sudiarso, Andi; Atmaja, Denny Sukma Eka; Herliansyah, Muhammad Kusumawan
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4806

Abstract

Klowong is a base cloth that has been given a hot wax pattern as the initial stage in the batik making process but has not yet become a finished batik. Nowdays, written batik machine are available but still limited and production defects still occur, reducing the value of batik. Manual QC makes subjective assessments, so an accurate and efficient automated inspection system is needed for SMEs.This study proposes a defect classification approach on batik klowong fabric based on transfer learning using deep convolutional neural networks (CNN) architecture that has been verified to be reliable in image classification schemes. The basic models used include VGG16, ResNet50V2, InceptionV3, and MobileNetV2, with modifications to the fully connected layers to reduce parameter complexity. The dataset consists of 1000 klowong fabric images with a resolution of 224×224 pixels, with a ratio of 80:10:10 for training, validation, and testing. Data augmentation was applied to improve the generalization of the model. Evaluation is performed based on accuracy, precision, recall, F1-score, and inference time. The experimental results show that VGG16 has the best performance in the testing stage with 92% accuracy. The combination of VGG16 with conventional classifiers (SVM and Random Forest) significantly speeds up the inference time (up to 0.0001 seconds per image) but with a decrease in accuracy to 81-83%. Therefore, the VGG16 model with the modified final layer is recommended as the optimal solution with the best trade-off between classification performance and computational efficiency, especially for application scenarios on low-resource devices such as batik SMEs.
Perancangan Model Otomasi pada Industri Furnitur di Jepara Studi Kasus Produk Wood Cap Husain, Fakhril; Djorgie, Thomas; Herliansyah, Muhammad Kusumawan; Sari, Wangi Pandan
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 16, No 2 (2024): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v16i2.2379

Abstract

The furniture industry in Jepara Regency, Central Java, is renowned for exporting high-quality products. One such product is the wood cap, which is used to cover the top of fences. The current manual production of wood caps results in a slow process. This research proposes an automation system to enhance efficiency, transforming the production process into two stages using an inclined plane, pushers, and a conveyor. This system integrates a block diagram, logic gates, a ladder diagram, and control devices, including limit switches, pressure switches, and an emergency button. The implementation of this automation allows orders to be completed in 50 days, significantly faster than the 150 days required by the manual system.
Co-Authors Agus Darmawan Alva Edy Tontowi Alva Edy Tontowi Andi Sudiarso Andi Sudiarso Sudiarso Andi Sudiarso, Andi Andrean Emaputra Avin F Helmi Banu Santoso Bertha M Sopha Brilianti, Grahita Prisca Budi Hartono Denny Sukma Eka Atmaja Deny Ratna Yuniartha Dhananjaya Yama Hudha Kumarajati Dian Permata Sari Djorgie, Thomas Dwi Handayani Dyah Rahmawati Hizbaron Eti Nurwening Sholikhah Fitri Trapsilawati Hamidi, Rifqi Restu Herianto Herianto . Herianto Herianto Husain, Fakhril Isananto Winursito Isananto Winursito, Isananto Joko Waluyo Joni Setiawan Joni Setiawan Kurniawanti Kurniawanti Kurniawanti Kusmono Muhammad Shodiq Abdul Khannan Nilasary Rochmanita Suparno Nirmala, Andita Nugroho, Yohanes Nur Aini Masruroh Nur Mayke Eka Normasari Pratama, Dhika Wahyu Putri Akhmad Yani, Ameliyana Rizky Syamara Rifki Moechtar Riska Yunita Ayu Wulandari Wulandari Siti Sunarintyas Subagyo Subagyo Subagyo Subagyo Suryo Purwono Taufik, Ikhwan Teguh Ariyanto Tontowi, Alva Edi Wangi Pandan Sari Yuli Agusti Rochman Zainal Imron Hidayat