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All Journal International Journal of Electrical and Computer Engineering International Journal of Evaluation and Research in Education (IJERE) Farmasains : Jurnal Farmasi dan Ilmu Kesehatan Journal of Food and Pharmaceutical Science Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Voteteknika (Vocational Teknik Elektronika dan Informatika) JTEV (Jurnal Teknik Elektro dan Vokasional ELKHA : Jurnal Teknik Elektro Jurnal Sistem Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Jurnal Algoritma Jurnal Teknologi Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Pseudocode Jurnal Computech & Bisnis (e-Journal) Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Komunikator ICON-CSE CESS (Journal of Computer Engineering, System and Science) Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JOURNAL ONLINE OF PHYSICS JURNAL NASIONAL TEKNIK ELEKTRO KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Bulletin of Electrical Engineering and Informatics JOIN (Jurnal Online Informatika) Journal of Electrical Technology UMY Format : Jurnal Imiah Teknik Informatika Jurnal Teknologi dan Sistem Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Sains dan Informatika Insect (Informatics and Security) : Jurnal Teknik Informatika JRST (Jurnal Riset Sains dan Teknologi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Jiko (Jurnal Informatika dan komputer) Journal of Science and Engineering MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Krea-TIF: Jurnal Teknik Informatika JURIKOM (Jurnal Riset Komputer) Jurnal Teknik Elektro dan Komputer TRIAC Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Jurnal Ilmiah Mandala Education (JIME) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JSI (Jurnal sistem Informasi) Universitas Suryadarma Systemic: Information System and Informatics Journal Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Electronics, Electromedical Engineering, and Medical Informatics Buletin Ilmiah Sarjana Teknik Elektro RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Mobile and Forensics Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Riset Rekayasa Elektro Respati Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems JITU : Journal Informatic Technology And Communication Journal of Innovation Information Technology and Application (JINITA) Reswara: Jurnal Pengabdian Kepada Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Computer Science and Information Technology (CoSciTech) Journal Social Science And Technology For Community Service Jumat Informatika: Jurnal Pengabdian Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Techno Jurnal Pengabdian Pada Masyarakat Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat SmartComp Journal of Food and Pharmaceutical Sciences Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat Control Systems and Optimization Letters Emitor: Jurnal Teknik Elektro Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Jurnal Informatika Medis (J-INFORMED) Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Signal and Image Processing Letters Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi Dedikasi Nusantara Jurnal Pengabdian kepada Masyarakat (DIASYA) Indonesian Journal on Learning and Advanced Education (IJOLAE) Jurnal Repositor Proceeding of Informatics Collaborations and Dessimenation Meeting (Infocoding)
Anton Yudhana
Universitas Ahmad Dahlan, Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Adulterated Meat Processed Products Detection using Combination of FTIR and Chemometrics Agustin Rafikasari; Any Guntarti; Anton Yudhana
Farmasains : Jurnal Farmasi dan Ilmu Kesehatan Vol. 11 No. 1 (2026)
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/farmasains.v11i1.44688

Abstract

Indonesia has the world's largest Muslim population in 2025 and high demand for halal food products, including sausage. Differences in meat prices increase the risk of adulteration, which is wild boar or pork can adulterate beef or chicken. The adulteration can be detected using FTIR combined with chemometrics. The aim of this study was to investigate the adulteration in sausages by analyzed the fingerprint FTIR spectra combining with chemometrics. This study conducted by physicochemical analysis and scanning the extracted fat at the mid-infrared region using FTIR to collect spectral data. Qualitative and quantitative analyses were performed on the fingerprint region using chemometrics of Partial Least Square (PLS) and Principal Component Analysis (PCA), respectively to provide best modeling. The PLS calibration model for the relationship between actual values and predicted value of three binary mixed meats obtained from 1399 – 1321 cm-1, 1770 – 1681 cm-1, 780 – 650 cm-1. The calibration models demonstrated strong linearity, with R² values ranging from 0.9367 to 0.9884. The chicken–beef model exhibited the lowest RMSEC (5.85), indicating superior predictive accuracy. Although the chicken–pork model showed the highest R² (0.9884), its higher RMSEC (7.32) suggests reduced prediction precision. The chicken–wild boar model displayed the lowest R² and highest RMSEC, indicating greater model uncertainty, likely due to increased spectral similarity and matrix complexity. Fifteen marketed products analyzed. PCA of FTIR data demonstrated clear discrimination between halal-labeled and pork-containing sausages based on lipid profile differences, highlighting its potential as a rapid screening tool for halal authentication.  
A Comparative Evaluation of Drone Detection Models on Aerial Imageryacross Varying Training Epochs Astika Ayuningtyas; Imam Riadi; Anton Yudhana
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 3, November 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i3.26618

Abstract

Drone detection in aerial imagery has become increasingly important in security, surveillance, and military applications. This study aims to evaluate the performance of a deep learning model in detecting drone images by varying the number of training epochs (10, 20, and 50 epochs). A drone image dataset was used to train and test the model, with performance evaluated using precision, recall, mAP@0.5, and mAP@0.5:0.95 metrics. The experimental results indicate that increasing the number of epochs significantly enhances model performance. At 10 epochs, the model achieved a precision of 0.905, recall of 0.857, mAP@0.5 of 0.904, and mAP@0.5:0.95 of 0.455. At 20 epochs, recall improved to 0.879, and mAP@0.5:0.95 increased to 0.476. The best performance was observed at 50 epochs, with a precision of 0.918, recall of 0.886, mAP@0.5 of 0.920, and mAP@0.5:0.95 of 0.494. These findings demonstrate that increasing the number of training epochs not only improves detection accuracy but also enhances the model's generalization capability. The study concludes that training for 50 epochs is the optimal configuration for achieving the best performance in drone image detection, despite requiring longer training time. These results provide practical recommendations for implementing deep learning models in real-world drone detection applications.
Rancang Bangun Detektor Monosodium Glutamate (MSG) pada Makanan Berkuah Berbasis Internet of Things (IoT) Phisca Aditya Rosyady; Yusril Rumagia; Anton Yudhana; Retnosyari Septiyani; Nurina Umy Habibah
Jurnal Teknik Elektro dan Komputer TRIAC Vol 10, No 1 (2023): Mei 2023
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v10i1.17854

Abstract

Monosodium Glutamate (MSG) merupakan senyawa yang banyak digunakan sebagai penyedap makanan agar memiliki cita rasa yang lebih gurih. Produk makanan yang mengandung MSG umumnya tidak mencantumkan dosis atau jumlah MSG yang digunakan. Permasalahan ini mengakibatkan tidak terkontrolnya konsumsi MSG di masyarakat. Hal ini tentunya dapat mengakibatkan penggunaan MSG secara berlebihan yang menyebabkan kelainan sistem kerja organ tubuh jika dikonsumsi dalam jumlah banyak dengan jangka waktu yang lama. Pada penelitian ini dibuat Detektor MSG dengan menggunakan Sensor Photodioda khususnya untuk makanan berkuah yang dapat dipantau dari jarak jauh berbasis Internet of Things (IoT) yang ditampilkan pada software Blynk. Pada pengujian ini larutan MSG dipanaskan dan dicampurkan dengan bahan reaksi cairan Ninhidrin untuk mengikat asam amino yang terdapat pada senyawa MSG. kemuadian diukur hasil tegangan dengan detektor secara berkala dalam waktu 30 detik. Hasil penelitian ini diketahui adanya penurunan nilai daya pancar cahaya (LUX) yang diterima Sensor Photodioda dengan rata- rata nilai penurunan untuk sampel kuah sayur bayam sebesar 1713,07 LUX, dan kuah bakso sebesar 2226,24 setiap penambahan 0,2 gram MSG.
Deep Learning-Enhanced Kitabah Application for Inclusive and Adaptive Quranic Sign Language Education Rakhmadi, Aris; Yudhana, Anton; Sunardi, Sunardi; Rahmawati, Yuli
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 8, No. 2, May 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v8i2.15390

Abstract

People with hearing and speech disabilities (PHSD) continue to face barriers in accessing Quranic literacy education due to the dominance of auditory–verbal instructional approaches and the limited availability of adaptive digital learning environments. Although sign language recognition (SLR) technologies have advanced significantly, most existing systems are not aligned with pedagogically and theologically grounded Quranic learning frameworks. This study aims to develop and evaluate a deep learning-enhanced Kitabah application to support inclusive, adaptive, and technology-enhanced Quranic sign language education for PHSD learners. The study employed two approaches: (1) the development of a Kitabah-based mobile learning application integrating interactive visual–motor learning features, and (2) the implementation of a deep learning-based SLR model using ResNet-18 with transfer learning for static Hijaiyyah gesture recognition. The mobile application was evaluated through black-box testing and the System Usability Scale (SUS), while the SLR model was assessed using accuracy, precision, recall, and F1-score metrics. Results showed that all application functionalities operated successfully, with the application achieving a SUS score of 78.06, indicating good usability and accessibility. The SLR model achieved 98% classification accuracy across 31 Hijaiyyah sign classes, demonstrating strong recognition performance. These findings indicate that integrating the Kitabah method with deep learning and mobile learning technology can support progressive, inclusive, and adaptive Quranic literacy education through AI-assisted and learner-centered educational experiences for PHSD learners.
IMPLEMENTATION OF RANDOM FOREST FOR ANIMAL PROTEIN CLASSIFICATION THROUGH HYPERPARAMETER OPTIMIZATION Ridho Ikhram; Anton Yudhana; Imam Riadi
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.7613

Abstract

Accurate identification of animal protein types is crucial to ensure food authenticity and safety, particularly in the context of compliance with halal principles. This study aims to implement the Random Forest (RF) algorithm to classify four types of animal protein—broiler chicken, free-range chicken, pork, and beef through hyperparameter optimization using GridSearchCV. The dataset was evaluated using 5-fold cross-validation, and feature importance analysis was conducted to identify the variables that contributed most to classification. Results showed that RF with optimized hyperparameters achieved a test accuracy of 92.81%, with macro-average precision, recall, and F1-score of 93%. The model performed best for the broiler chicken and pork classes, while the beef class exhibited a higher misclassification rate, likely due to the similarity of spectral characteristics among classes. ODOR, CO₂, H₂, NH₃, and VOC were identified as the key indicators for distinguishing animal protein types. This study contributes to halal authentication by integrating FTIR spectral data with optimized Random Forest, enabling efficient and accurate classification. Although RF proved reliable and capable of handling high-dimensional data, the study is limited by dataset size and spectral feature complexity. Future research is recommended to explore deep learning architectures, such as Convolutional Neural Networks (CNN), with larger FTIR datasets to improve model generalization and robustness
Anthropometry: Palm Size Clustering Using the K-Means Method and Silhouette Coefficient Cucut Hariz Pratomo; Anton Yudhana; Herman
JURNAL COMPUTECH & BISNIS Vol. 20 No. 1 (2026): Jurnal Computech & Bisnis (e-Journal)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/jcb.v20i1.05

Abstract

This study uses a palm image dataset to be used as training data and test data and the software used is the Python Programming Language and the OpenCV library which is quite light in processing on Google Collaboratory. The image data used is a palm image dataset from Kaggle which is open access to the public, the image data is then subjected to feature extraction using the Canny Edge Detection method with Euclidean distance calculations to see the edges of the object lines in the training image to clearly obtain the hand object that will be classified to see anthropometrically whether the palm is small, medium, and large. Grouping of 3 classes of palm size uses the K-Means method combined with the Silhouette Score to evaluate the results obtained. From a successful experiment, the Silhouette results show a score of 0.61, which means good.
FORENSIC ANALYSIS OF TROJAN BACKDOOR (GACOR) ATTACKS ON PRIVATE CLOUD ENVIRONMENTS USING KUAD METHOD Hero Wintolo; Mohammad Faiq Badruz Zaman; Haruno Sajati; Imam Riadi; Anton Yudhana; Tri Rochmadi; Puspa Ira Dewi Candra Wulan
Jurnal Informatika Medis (J-INFORMED) Vol. 4 No. 1 (2026): Jurnal Informatika Medis (J-INFORMED)
Publisher : LPPM Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/im.v4i1.4196

Abstract

This research examines the impact of a Trojan Backdoor Attack, referred to as a Gacor attack, on the security and service integrity of a private cloud environment based on OwnCloud. The experimental environment was deployed ubuntu server 22.04 using OwnCloud version 10.15.2 and supported by a Mikrotik CCR1016-12G network device. Application level and network level activities were monitored through Apache web server logs and Snort Intrusion Detection System (IDS) version 2.9.15.1, respectively. The investigation adopts the knowledge Understanding assessment defence (KUAD) framework, which structures the analysis into initiation, acquisition, execution, mitigation, and digital evidence disposition stages. The attack scenario focuses on exploiting a file upload vulnerability in the OwnCloud service to deploy and execute a malicious PHP-based Trojan Backdoor. The results show that the Gacor attack demonstrates highly repetitive and centralized behaviour, originate from a limited number of highly active IP addresses. This behaviour exploits weaknesses in application security configuration and results in system takeover and service defacement. Correlation between log analysis and IDS alerts confirms 10 distinct attack events and reveals a structured intrusion pattern rather than random probing activity. The data visualization reveals a structured and centralized attack pattern, resulting in 100% defacement of the OwnCloud index page, which highlights the severe security risk faced by private cloud environments that lack a adequate file upload protection mechanisms. The findings demonstrate that the application of the KUAD method, when combined with log analysis and intrusion detection systems (IDS) is effective in identifying, analyzing, and systematically documenting Trojan Backdoor attacks in private cloud computing environments.
Penguatan Literasi Digital Siswa SMK Mambaul Falah Kudus melalui Edukasi Ancaman Siber, Pinjaman Online, dan Cyber Bullying Achmad Ridwan; Widya Cholid Wahyudin; Wilda Rina Hasibuan; Anton Yudhana; Rusydi Umar
Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2026): Juni 2026
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v5i1.487

Abstract

Penggunaan internet yang tinggi di kalangan siswa SMK Mambaul Falah Kudus berpotensi meningkatkan risiko cybercrime, cyber bullying, dan penyalahgunaan pinjaman online ilegal. Kegiatan Program Pemberdayaan Umat (PRODAMAT) ini bertujuan meningkatkan literasi digital dan keterampilan keamanan akun siswa melalui edukasi berbasis studi kasus dan praktik langsung. Metode kegiatan meliputi koordinasi mitra, observasi kebutuhan, penyusunan materi, pre-test, penyampaian materi, diskusi kasus, praktik pengaturan privasi dan two factor authentication, post-test, serta refleksi. Peserta kegiatan berjumlah 30 siswa kelas XI SMK Mambaul Falah Kudus. Hasil kegiatan menunjukkan peningkatan pemahaman pada aspek  cyber crime dari 55% menjadi 83%, cyber bullying dari 58% menjadi 86%, pinjaman online ilegal dari 50% menjadi 84%, dan keamanan digital dari 56% menjadi 85%. Peserta juga mampu mengenali tautan mencurigakan, membedakan pinjaman online legal dan ilegal, memblokir akun berisiko, serta memahami langkah pelaporan. Kegiatan ini berkontribusi bagi sekolah sebagai model edukasi literasi digital aplikatif untuk membangun perilaku internet yang aman, bijak, dan bertanggung jawab.
Analisis Termal Kolektor Silinder dalam Sistem Penyimpan Panas PCM Parafin Berbasis Mikrokontroller Multika Untung Bahagiya; Imam Riadi; Anton Yudhana
JTEV (Jurnal Teknik Elektro dan Vokasional) Vol 11, No 1 (2025): JTEV (Jurnal Teknik Elektro dan Vokasional)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtev.v11i1.131645

Abstract

Energi adalah sesuatu yang tidak dapat pisah dari kondisi kehidupan manusia saat ini. Air memiliki peran yang sangat penting bagi kehidupan manusia bahkan udara dapat berfungsi sebagai nafas sehari-hari masyarakat. Faktor krusial dalam proses kerja yang sedang berlangsung dari mesin yang sudah tua adalah transparansi data dan representasi visualnya. Satu-satunya metode untuk mengirimkannya adalah melalui sistem internet. Mikrokontroler yang telah dilengkapi dengan Modul WiFi. Dari penelitian dalam pengujian kolektor silinder kita bisa mengetahui sumber energi terbarukan. Dalam penelitian analisis termal kolektor silinder dalam sistem penyimpan panas PCM parafin berbasis mikrokontroller memperoleh hasil dihari pertama temperatur pada titik puncak pada saat waktu menunjukan pukul 13.00 WIB memperoleh temperatur 37,1 ℃ dan pada saat penelitian dihari kedua temperatur pada titik puncaknya waktu menunjukan pukul sama dengan dihari pertama yaitu pukul 13.00 WIB memperoleh temperatur sampai 39,2 ℃. Lalu temperatur rata-ratanya dari penelitian terendah yang diperoleh pada PCM Parafin sebagai penyimpan kalor dengan penggunaan banyaknya PCM Parafin 500 ml temperatur yang diperoleh 32,6 ℃, sedangkan temperatur tertingginya diperoleh pada penggunaan dari segi banyaknya PCM Parafin 1000 ml dan temperatur yang diperoleh 33,3 ℃. Dari penelitian dalam pengujian ini dengan temperatur terpanas yang diserap parafin sebagai penyimpan panas semakin tinggi maka semakin lama juga temperatur panas yang didapat dan disimpan pada PCM Parafin. Hasil dalam penelitian yang terlihat bahwa PCM Parafin sangat dapat menyimpan panas/ kalor yang sangat lama. Keyword: Energi Terbarukan; Kolektor Silinder, PCM Parafin; Mikrokontroller; Sensor
Nondestructive Chicken Egg Fertility Detection Using CNN-Transfer Learning Algorithms Shoffan Saifullah; Rafal Drezewski; Anton Yudhana; Andri Pranolo; Wilis Kaswijanti; Andiko Putro Suryotomo; Seno Aji Putra; Alin Khaliduzzaman; Anton Satria Prabuwono; Nathalie Japkowicz
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26722

Abstract

This study explores the application of CNN-Transfer Learning for nondestructive chicken egg fertility detection. Four models, VGG16, ResNet50, InceptionNet, and MobileNet, were trained and evaluated on a dataset using augmented images. The training results demonstrated that all models achieved high accuracy, indicating their ability to accurately learn and classify chicken eggs’ fertility state. However, when evaluated on the testing set, variations in accuracy and performance were observed. VGG16 achieved a high accuracy of 0.9803 on the testing set but had challenges in accurately detecting fertile eggs, as indicated by a NaN sensitivity value. ResNet50 also achieved an accuracy of 0.98 but struggled to identify fertile and non-fertile eggs, as suggested by NaN values for sensitivity and specificity. However, InceptionNet demonstrated excellent performance, with an accuracy of 0.9804, a sensitivity of 1 for detecting fertile eggs, and a specificity of 0.9615 for identifying non-fertile eggs. MobileNet achieved an accuracy of 0.9804 on the testing set; however, it faced challenges in accurately classifying the fertility status of chicken eggs, as indicated by NaN values for both sensitivity and specificity. While the models showed promise during training, variations in accuracy and performance were observed during testing. InceptionNet exhibited the best overall performance, accurately classifying fertile and non-fertile eggs. Further optimization and fine-tuning of the models are necessary to address the limitations in accurately detecting fertile and non-fertile eggs. This study highlights the potential of CNN-Transfer Learning for nondestructive fertility detection and emphasizes the need for further research to enhance the models’ capabilities and ensure accurate classification.
Co-Authors Aang Anwarudin Abd. Rasyid Syamsuri Abdillah, Muhamad Aznar Abdul Azis Abdul Djalil Djayali Abdul Fadil Abdul Fadil Abdul Fadlil Abdul Fadlil Abdul Fadlil Abe, Tuska Achmad Ridwan Ade Firli Ansyori Agung Dwi Nugroho, Agung Dwi Agus Jaka Sri Hartanta Agustin Rafikasari Ahmad Azhar Kadim Ahmad Ikrom Ahmad Ikrom Ahmad Ridwan Ahmad Syahril Mohd Nawi Ahmadi, Ahwan Akhwandi, Dasef AKRIMA, ASRA Alameka, Faza Alameka, Faza alders paliling Aldi Bastiatul Fawait Fawait Alfian Ma’arif Alin Khaliduzzaman Aminuyati Andhy Sulistyo Andiko Putro Suryotomo Andri Pranolo Anggara Ibnu Sidharta Anom Wahyu Asmorojati Anshori, Ikhwan Anton Satria Prabuwono Anwar Siswanto Anwarudin, Aang Any Guntarti Ardiansyah, Ricy Arief Setyo Nugroho Aris Rakhmadi Asep Ririh Riswaya Ashari, Irvan Asno Azzawagama Firdaus Asra Akrima Astika AyuningTyas, Astika Aulia, Aulia Aznar Abdillah, Muhamad Azrul Mahfurdz Balza Achmad Bella Okta Sari Miranda Belly Apriansyah Bintang, Rauhulloh Noor budi putra Budi Setianto, Arif Bulaka, Bardan Cahya Subrata, Arsyad Choirul Fajri Cucut Hariz Pratomo Darso, Muhammad Daryono Daryono Dasef Akhwandi Deni Murdiani Denny Yoga Pratama Dewi Eko Wati Dian Nova Kusuma Hardani Didi Siprian Djou, M Rosyidi Dwi Susanto Dwi Susanto Dwi Susanto Dzakarasma Tazakka Ma’arij Edi Ismanto Eka Rahmat B Eko Prianto Eko Prianto, Eko Elvina, Ade Fadil, Abdul Fadlil, Abdul Fadlillah Mukti Ayudewi Fadlillah Mukti Ayudewi Fahrizal Djohar Fakhri, La Jupriadi Fathoni, Listya Febri Fatma Nuraisyah, Fatma Faza Alameka Faza Alameka Febryansah, M. Iqbal Fitrah Juliansyah Fitri Anggraini Fitri Anggraini, Fitri Fitriyanto, Rachmad Furizal Furizal Furizal, Furizal Galih Pramuja Inngam Fanani H, Hermansa Habibah, Nurina Umy Habsah Hasan Hadi Sasongko, Hadi Halil, Nur Ihsan Hanif, Abdullah Hanif, Kharis Hudaiby Hartanta, Agus Jaka Sri Hartono, Susilo Haruno Sajati Helmiyah, Siti Herman Herman Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah, Herman Hermansa Hero Wintolo Herwindo Rahadian Hidayat, Lalu Amam Hikmatyar Insani Himawan I Azmi Igo Putra Pratama Iif Alfiatul Mukaromah Ikhsan Sugianto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhwan Anshori Ikrom, Ahmad Ilham Mufandi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Intan Puspitasari Ivan Triyatno Jafri Din Jaka Dernata Jaka Dernata Jaka Jendri Joko Riyanto Juliansyah, Fitrah Kalbuadi, Dimas Baskoro Kartika Firdausy Karyanti, Wiji Kaspul Anwar Kawarul Hawari Ghazali Kgs Muhammad Rizky Alditra Utama Kgs Muhammad Rizky Alditra Utama Khalif, Fajar Al Khoir, Syaiful Amrial Khoirul Anam Dahlan Kintung Prayitno, Kintung Kitagawa, Kodai Kurniawan, Gusti Chandra Kusuma , Damar Yoga Lestari, Agung Tri Listya Febri Fathoni Liya Yusrina Sabila Luh Putu Ratna Sundari Lutfatul Kholifah M Rosyidi Djou M. Rosyidi Djou Mahsun Mahsun Mardi Sugama Marlina Mustafa, Marlina Maulana, Irvan Mawadati, Siti Mawarni, Syifa’ah Setya Mega Reski4, Julia Mhd. Basri Miftahuddin Fahmi Miftahus Surur, Miftahus Miko Wardani Mitra Adhimukti Moch. Nasheh Annafii Mohammad Faiq Badruz Zaman Muchamad Kurniawan Muchlas Muchlas, Muchlas Mudinillah, Adam Muflih, Ghufron Zaida Muh. Fadli Hasa Muhamad Caesar Febriansyah Putra Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhamad Fahrul Reza Muhamad Rosidin Muhammad Aris Fajar Ilmawan Muhammad Darso Muhammad Irfan Pure Muhammad Jundullah Muhammad Kunta Biddinika Muhammad Kunta Biddinika Muhammad Miftahul Amri Muhammad Noor Fadillah Muhammad Noor Fadillah Muhammad Nur Faiz Muhammad Nur Faiz Muhammad Rizki Setyawan Muhammad Sabiq Dzakwan Muhammad Sabiq Dzakwan Muhammad, Khairul Muis, Alwas Mukaromah, Iif Alfiatul Multika Untung Bahagiya Murinto Murinto Mushab Al Barra Mushlihudin Mushlihudin Mushlihudin Mushlihudin Mushlihudin, Mushlihudin Mushlihudin, Mushlihudin Musliman, Anwar Siswanto Nathalie Japkowicz Novi Febrianti Novitasari, Putri Rachma Nuraeni, Eneng Nurina Umy Habibah Nurwijayanti Nuryana, Zalik Nuryono Satya Widodo Ockhy Jey Fhiter Wassalam Permadi, Adi Peryanto, Ari Phisca Aditya Rosyady Pratama, Denny Yoga Pratama, Genta Pratama, Gilang Ariya PRATAMA, IGO PUTRA prayudi, Andi Prianto, Eko Prihatmadi, Farhan Adyaqsa Priyatno Priyatno Purnamaningsih, Nur Aini Puspa Ira Dewi Candra Wulan Putra, Aji Surya Kurniawan Putra, Marta Dwi Darma Putra, Satriya Dwi Putri, Dadva Pramesty Etsria Rachmad Fitriyanto Rachmad Very Ananda Saputra Raden Mohamad Herdian Bhakti Rafal Drezewski Raja Bidin Raja Hassan Ramadhani, Muhammad Ramdhani, Rezki Rani Rotul Muhima Rauhulloh Ayatulloh Khomeini Noor Bintang Renangga Yudianto Reski, Julia Mega Resmi Aini Retnosyari Septiyani Reza, Muhamad Fahrul Rezki Ramdhani Ridho Ikhram Ridho Ikhram Riski Yudhi Prasongko Rivai, Zulki Yanto Rizky Andhika Surya Rosalia Setia Nursanti Rosyady, Phisca Aditya Ruly Erwin AfanDika Rumagia, Yusril Rusdi Umar Rusydi Umar Rusydi Umar Rusydi Umar Rusydi Umar S, Sunardi Sabarudin Saputra Saberi Mawi Sabila, Liya Yusrina Safiq Rosad Sahta, Bobo Saifullah, Shoffan Samadri Samadri Saputra, Candra Deska Saputra, I Gede Purwana Edi saputro, tahap Sarjimin, Sarjimin Satriya Dwi Putra Sefindra Purnama Seno Aji Putra Septa, Frandika Septiyani, Retnosyari Septiyawan Rosetya Wardhana Sharipah Salwa Mohamed Shoffan Saifullah Sidharta, Anggara Ibnu Sidiq, Ahmad Fajar Sigit Wijaya Silmina, Esi Putri Siswaya Siswaya Siswaya, Siswaya Siti Hajar Son Ali Akbar sri suharti Sri Suharti Subandi, Rio Sudaryanto Sudaryanto Sulistyo, Andhy Sunardi Sunardi - Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suwanti Suwanti Suyadi Suyadi Syafiqoh, Ummi Syahid Al Irfan Syahrani Lonang Syed Abdullah Syinta Brata Tarisno Amijoyo Tiara Widyakunthaningrum Tole Sutikno Tri Rochmadi Tri Wahono Tugiman Tugiman Umar, Rusydi Ummi Syafiqoh Utama, Kgs Muhammad Rizky Alditra Utama, Kiagus Muhammad Rizky Aditra W, Yunanri Wahidah Mahanani Rahayu Wahyu Prawoto Wahyu Sapto Aji Wardani, Miko Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Widhianto, Trisno Widya Cholid Widya Cholid Wahyudin Wijaya, Setiawan Ardi Wilda Rina Hasibuan Wilda Rina Hasibuan Wilis Kaswijanti Windra Putri, Anggi Rizky Wintolo, Hero Wisnu Dwi Haryanto Wiwiek Afifah Yudianto, Renangga Yuli Rahmawati Yusril Rumagia Zeehaida Mohamed