Article Per Year (5 Year)
p-Index From 2021 - 2026
3.366
P-Index
This Author published in this journals
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) 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 Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

Published : 33 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 33 Documents
Search

 1   2   3   4 
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.
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.
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.
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.
Empathising and Defining the Strategy Development Process Adoption of Industrial 4.0 in SMEs Kurniawanti; Subagyo; Muhammad Kusumawan Herliansyah; Andi Sudiarso
International Journal of Innovation in Enterprise System Vol. 7 No. 2 (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.v7i02.211

Abstract

The advent of Industry 4.0 has become an integral part of the manufacturing industry, playing a crucialrole in boosting competitiveness and enhancing productivity within companies. Small and MediumEnterprises (SMEs), which contribute significantly to the national economy, must inevitably embracethe adoption of Industry 4.0 technology. However, the implementation of this technology at the SMEfaces numerous obstacles. To address these challenges and facilitate the transformation to Industry4.0 in SMEs, this research aims to construct a comprehensive adoption strategy. Currently in itspreliminary stage, the strategy development process primarily involves identifying stakeholders, theirneeds, and the goals they aim to achieve. Design thinking, specifically the empathize and define phase,is employed as the methodological approach. The information utilized in this study originates fromsystematic literature reviews conducted using PRISMA. The analysis of the gathered data hasidentified several stakeholders, including government entities, IT experts, management personnel, andemployees. However, for the purpose of creating user personas, the focus is narrowed down tomanagement and employees. User personas are instrumental in understanding the goals and potentialobstacles faced by these individuals. The culmination of this stage is the formulation of a problemstatement, which will be further refined in subsequent phases of the design thinking process.
Bibliometric Analysis: Research on Batik in International Publications Denny Sukma Eka Atmaja; Herianto; Muhammad Kusumawan Herliansyah; Andi Sudiarso
International Journal of Innovation in Enterprise System Vol. 7 No. 2 (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 inits patterns and high artistic value. This is evident from its early origins when batik was used withina very limited keraton environment. Now it has become a commodity of the Indonesian creativeindustry that has ventured into the global market. This paper addresses the following issues: the annualnumber of international scholarly publications in the field of batik to be published in Scopus, theproductivity of researchers working in the field of batik, and the methodology for using keywords tomap the development of international research publications on batik. Based on the discussion andsimulation 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 IOPConference Series: Earth and Environmental Science. Diponegoro University is the institution thathas published the most research in the field of batik, and Indonesia is one of the countries with thehighest contributors. The researcher with high productivity in the field of batik is Widiaty, I, with atotal of 15 publications from 2012 to 2022, specifically in the field of batik. Regarding thedevelopment map of the field of batik based on co-word analysis, there are 7 clusters, where newresearch topics are identified that can still be further developed, especially in the field of batik
Design and Fabrication of Stamp Canting Based on Fused Deposition Modeling and Electroforming Technology Setiawan, Joni; Sudiarso, Andi; Winursito, Isananto; Herliansyah, Muhammad Kusumawan
Dinamika Kerajinan dan Batik: Majalah Ilmiah Vol. 41 No. 2 (2024): DINAMIKA KERAJINAN DAN BATIK : MAJALAH ILMIAH
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Industri Kerajinan dan Batik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22322/dkb.v41i2.8445

Abstract

The demand for canting stamps continues to increase along with the development of batik. This need cannot be met by canting cap producers because their productivity is low as a result of the process of making canting caps still being manual. This research developed a canting cap using the conductive material Acrylonitrile Butadiene Styrene (ABS)–electroformed by copper (CABS-EBC). The research procedure consists of 1) design and 3D-printing procedure and 2) electroforming and assembling procedure. Design and 3D-printing procedures consist of preparation steps, designing, slicing process, and printing process. Electroforming procedure consists of preparation, pre-treatment, electroforming. Then proceed with the assembly steps. The process is depicted through diagrams, pictures/photos and explained step by step. From the experimental results it can be concluded that canting caps can be made using conductive ABS and copper electroforming materials
Co-Authors Agus Darmawan 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 Jessica Vyanti 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 Swilugar, Ayu Taufik, Ikhwan Teguh Ariyanto Wangi Pandan Sari Yuli Agusti Rochman Zainal Imron Hidayat