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All Journal Jurnal Teknosains JRSI (Jurnal Rekayasa Sistem dan Industri) PERFORMA : Media Ilmiah Teknik Industri Jurnal Sistem Cerdas IJIES (International Journal of Innovation in Enterprise System) International Journal of Industrial Optimization (IJIO) Jurnal Teknik Informatika (JUTIF) Charity : Jurnal Pengabdian Masyarakat TIERS Information Technology Journal eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT)
Denny Sukma Eka Atmaja
Universitas Telkom
Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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PELATIHAN GOOGLE CLASSROOM PADA GURU SDITQ IMAM MALIK BANDUNG UNTUK MENDUKUNG PEMBELAJARAN DARING PADA MASA PANDEMI COVID-19 Ayudita Oktafiani; Murni Dwi Astuti; Denny Sukma Eka Atmaja
Prosiding COSECANT : Community Service and Engagement Seminar Vol 2, No 1 (2022)
Publisher : Universitas telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.003 KB) | DOI: 10.25124/cosecant.v2i1.18439

Abstract

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.
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.
Design and Development Classifications A Defect in Clay Tiles Using A Method of Support Factor Machine (SVM) Rais Yufli Xavierullah; Murman Dwi Prasetio; Denny Sukma Eka Atmaja
Jurnal Rekayasa Sistem & Industri Vol 7 No 02 (2020): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v7i2.420

Abstract

Quality control is a system that can assist a company in maintaining and maintaining product quality sothat product defects do not occur. PT. XYZ is a company in the clay tile industry. Every month, PT. XYZhas products due to defects with an average of 2225 precarious. One of the problems that occurred at PT.XYZ is an inspection process that only uses sight. The use of sight can carry the risk of increased operatingcosts due to faulty examinations, failure to get business, and rework. With the development of technology,it can overcome this problem by finding artificial detectors using measurement methods, imagepreprocessing, and algorithms to detect defect. In this study using the Support Vector Machine (SVM)method in classifying defects. Taking pictures directly in this study using raspberry pi and making thealgorithm system using pyhton software. This study uses a linear kernel in the SVM algorithm. The resultsin this study concluded that the highest accuracy rate was 88.6% using a linear kernel.
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
Optimasi Nilai Surface Roughness dan Material Removal Rate Pemesinan Milling Hauw Gan ZX 7550Z Menggunakan Metode Taguchi dan Grey Relational Analysis Miftah, Nadila Attin; Atmaja, Denny Sukma Eka; Oktafiani, Ayudita
eProceedings of Engineering Vol. 10 No. 3 (2023): Juni 2023
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak-Pada proses milling, produk yang dihasilkan harus memiliki kualitas tinggi dalam waktu yang singkat. Kualitas berhubungan dengan surface roughness sedangkan produktivitas berhubungan dengan material removal rate. Keduanya saling ketergantungan dan korelasi yang kompleks sehingga sulit untuk dipahami karena banyak faktor yang mempengaruhi seperti parameter pemesinan. Sebagian besar parameter pemotongan dipilih berdasarkan pengalaman atau mengacu pada handbook sehingga tidak menjamin bahwa yang dipilih adalah parameter yang optimum. Apabila yang dipilih salah atau tidak optimal maka menyebabkan kerugian ekonomi. Penelitian ini bertujuan untuk optimasi multi-respon pada proses pemesinan milling material alumunium alloy 6061 T6 menggunakan metode Taguchi dan grey relational analysis. Eksperimen dilakukan dengan menggunakan tiga parameter input yaitu spindle speed, feed rate, dan depth of cut berdasarkan L9 orthogonal array yang dirancang menggunakan metode Taguchi. Nilai surface roughness (Ra = 0,395 µm) dan material removal rate (MRR = 105 mm3/min) optimum dicapai pada kombinasi parameter  spindle speed 1400 rpm, feed rate 15 mm/min, dan depth of cut 0,7 mm.Kata kunci- surface roughness, material removal rate, Taguchi, grey relational analysis
Perancangan Sistem Pengendalian Pendingin Ruangan Gedung Tult Berbasis IoT Menggunakan Metode V-Model Hajj, Rausan Fikr Maulana; Atmaja, Denny Sukma Eka; Raghmat, Haris
eProceedings of Engineering Vol. 10 No. 3 (2023): Juni 2023
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak- Permintaan energi listrik terus meningkat maka dari itu disadari pentingnya keberadaan konservasi energi. Pendingin ruangan menjadi konsumen energi terbesar dalam gedung dengan rata-rata 64,3% energi suatu gedung oleh karena itu pengendalian penggunaan dapat dimulai dari pendingin ruangan yang berada di kompleks gedung. Fakultas Rekayasa Industri Universitas Telkom sejak tahun 2021 telah melakukan perpindah gedung ke Gedung TULT Universitas Telkom di lantai 4,8, dan 18 dengan jumlah pendingin ruangan mencapai 65 unit pendingin ruangan. Jumlah 65 unit pendingin ruangan tersebut harus dilakukan pengendalian dan pengawasan sehingga penggunaan pendingin ruangan dapat terpantau penggunaannya. Untuk melakukan pengendalian dilakukan perancangan sistem kontrol penggunaan pendingin ruangan menggunakan mikrokontroller ESP8266 NodeMCU yang dikontrol melalui aplikasi Blynk berbasis IoT. Sistem tersebut dirancang menggunakan metode ¬v-model sebagai kerangka acuan. Penerapan perancangan pengendalian berhasil dilakukan hal itu dapat dilihat dari kinerja komunikasi antar sistem dapat bekerja. Dengan telah dilakukannya perancangan sistem IoT dapat memberikan kemudahan dalam melakukan pengendalian dan pengamatan sistem pendingin ruangan secara real-time disebabkan user tidak perlu mengobservasi secara langsung keberadaan kondisi ruangan dalam keadaan menyala atau mati user pun dapat mematikan atau menyalakan pendingin ruangan tanpa mengobservasi secara langsung dengan jangkauan akses yang luas dimanapun user berada selama user memiliki akses internet..Kata kunci- konservasi energi, v-model, kontrol, IoT
Co-Authors Achmad Nurhidayat Kurniadi Agus Kusnayat Anas Binazar Anasta Baye Adhi Andhika Meiziano Andi Sudiarso Andi Sudiarso Sudiarso Andi Sudiarso, Andi Ayudita Oktafiani Christine Melva David Simangunsong Dida Diah Damayanti Ditha Yusfiana Maryani Dodik Pradana Fauzan Ghifari Gerardo Jones Kereh Gilang Akbar Riyadi Hajj, Rausan Fikr Maulana Hamidi, Rifqi Restu Haris Rachmat Harmanda Mandala Herianto Herianto Herianto Hilmy Fathoni Irfan Ferdyansah Luqman Makarim M. Althob Broni Miftah, Nadila Attin Misbah My Rahmat Mochamad Akbar Muhamad Hilmy Abdullah Muhammad Kusumawan Herliansyah Muhammad Luthfil Muhammad Zamzam Anshori Murman Dwi Prasetio Murman Dwi Prasetio Murni Dwi Astuti Nadila Attin Miftah Nathaniel Ardy Perdana Nur Endah Lizarifin Pratama, Dhika Wahyu Priyangga Arya Sadewa Puput Nidaul Choiriyah Puspita Ayu Lestari R Mirza F Juarsah Raghmat, Haris Rais Yufli Xavier Rais Yufli Xavierullah Rais Yufli Xavierullah Rino Andias Anugraha Surya Prakosa Tio Auzan Hawali Tri Agung Rahmat Putra Wahyu Sri Handayani Widia Juliani Wiyono Wiyono wiyono Xavier, Rais Yufli Yasser Muhammad Syaiful