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All Journal NOTARIUS Jurnal Kesehatan Lingkungan indonesia Semantik Techno.Com: Jurnal Teknologi Informasi Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Abdimas PRIVATE LAW The Indonesian Accounting Review JAIS (Journal of Applied Intelligent System) Journal of Information System Journal of Development Research Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research AKRUAL: Jurnal Akuntansi FENOMENA Jurnal Meta-Yuridis Voice Of Informatics Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Jurnal Pengabdian Hukum Indonesia (Indonesian Journal of Legal Community Engagement) JPHI JURTEKSI AT-TURAS: Jurnal Studi Keislaman Jurnal Ilmu Manajemen dan Akuntansi Terapan Indonesian Journal of Advocacy and Legal Services Abdimasku : Jurnal Pengabdian Masyarakat Seminar Nasional Hukum Universitas Negeri Semarang Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Bisnis Mahasiswa An Nawawi Audito Comparative Law Journal (ACLJ) Abimanyu: Journal of Community Engagement Jurnal Multidisiplin Dehasen (MUDE) Al-Istinbath: Jurnal Hukum Islam Proceeding International Conference on Malay Identity Al-Musyrif : Jurnal Bimbingan dan Konseling Islam Managere: Indonesian Journal of Educational Management Amsir Accounting & Finance Journal JUDIKAT: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Kesehatan Indonesia FENOMENA: Journal of Social Science Journal of Law and Legal Reform Jurnal Pengabdian Hukum Indonesia Indonesian Journal of Advocacy and Legal Services Journal of Business and Information System
Pujiono Pujiono
Fakultas Ilmu Komputer, Universitas Dian Nuswantoro Semarang
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Journal : JAIS (Journal of Applied Intelligent System)

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Enhancing Augmentation-Based Resnet50 for Car Brand Classification Sugiarto, Triga Agus; Soeleman, Moch Arief; Pujiono, Pujiono
(JAIS) Journal of Applied Intelligent System Vol. 8 No. 3 (2023): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i3.9385

Abstract

This research focuses on car classification and the use of the ResNet-50 neural network architecture to improve the accuracy and reliability of car detection systems. Indonesia, as one of the countries with high daily mobility, has a majority of the population using cars as the main mode of transportation. Along with the increasing use of cars in Indonesia, many automotive industries have built factories in this country, so the cars used are either local or imported. The importance of car classification in traffic management is a major concern, and vehicle make and model recognition plays an important role in traffic monitoring. This study uses the Vehicle images dataset which contains high-resolution images of cars taken from the highway with varying viewing angles and frame rates. This data is used to analyze the best- selling car brands and build car classifications based on output or categories that consumers are interested in. Digital image processing methods, machine learning, and artificial neural networks are used in the development of automatic and real-time car detection systems.The ResNet-50 architecture was chosen because of its ability to overcome performance degradation problems and study complex and abstract features from car images. Residual blocks in the ResNet architecture allow a direct flow of information from the input layer to the output layer, overcoming the performance degradation problem common in neural networks. In this paper, we explain the basic concepts of ResNet-50 in car detection and popular techniques such as optimization, augmentation, and learning rate to improve performance and accuracy. in this study, it is proved that ResNet has a fairly high accuracy of 95%, 92% precision, 93% recall, and 92% F1-Score.
Utilization Of Principal Component Analysis To Improve Emotion Classification Performance In Text Using Artificial Neural Networks Afrad, Mahazam; Muljono, Muljono; Pujiono, Pujiono
(JAIS) Journal of Applied Intelligent System Vol. 9 No. 1 (2024): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v9i1.9923

Abstract

Emotions, being transient and variable, differ across locations, times, and individuals. Automatic emotion identification holds significant importance across various domains, such as education and business. In education, emotional analysis contributes to intelligent electronic learning environments, while in business, it aids in assessing customer satisfaction with products. This study advocates the application of Principal Component Analysis (PCA) to enhance the performance of text emotion classification using the Artificial Neural Network (ANN) method. PCA, a pattern identification method, reduces text dimensions, improving the classification process by determining word similarities. PCA offers the advantage of dimension reduction without compromising information integrity. The classification approach involves two stages: one after PCA dimension reduction and the other without PCA post TF-IDF stage. The study's conclusive findings, incorporating PCA in ANN classification, demonstrated a notable increase in recall for the happy class, reaching 0.92 compared to the pre-PCA score of 0.91. Furthermore, precision in the sadness class improved to 0.90, surpassing the pre-PCA precision of 0.80. This affirms the efficacy of integrating PCA in enhancing the accuracy and performance of emotion classification in text analysis.
Co-Authors A.A. Ketut Agung Cahyawan W Adhe Irham Thoriq Affandy Affandy Ahmad Zainul Fanani Aini, Triska Rahmatul Aisyaturrahmi Al Azhar, Cahya Mutiara Alik Katur Rofiah, Binti Alwani, Alwani Amiruddin , Amiruddin Andry Setiawan, Andry Anugroho, Rohmat Aprila, Bord Nandre Arif Hidayat Arif Widagdo Asih Rohmani Budi Haryanto Budiono Budiono Busriyanti Busriyanti, Busriyanti Cantika Sari Siregar Chamdan, Umar Chandra, Jennifer Chusnia, Vina Maulidah Dewi Sulistianingsih Diah Restu Wardani Diah Restu Wardani Dian Anita Nuswantara Edi Noersasongko Eka Putri, Libryawati Elanda Fikri Estu, Ahmad Zulkarnaen Eti Rimawati Etika Kartikadarma Fadrul, Fadrul Fadzil, Rozlinda Mohamed Fahmi Amiq Fatihul Barokah Firdaus, Gilbert Fitriyani Fitriyani Fransisca, Luciana Freza Surya Asrina Herdhianta, Dhimas Heri Susanto Hernawan Hadi Heru Agus Santoso Imam Bukori Indriani, Azizah Defi Irianti, Lingga Resvita Irma Cahyaningtyas, Irma Istiyanti, Istiyanti Iwan Hermawan Junaidi Junaidi Jutono Gondohanindijo Kahar Kahar, Kahar Kusharyanti Kusharyanti Lazuardi, Afried Lintang Venusita Lubis, Lubis Bambang Purnama Made Dudy Satyawan Mahazam Afrad Marita Marita, Marita Martitah Martitah Mimelientesa Irman Moch Arief Soeleman Moch Arief Soeleman, Moch Arief Moch. Eko Rustiyono Mubarok, Ahmad Hasan Muchammad Shidqon Prabowo Muhamad Haris Zuhri Muljono Muljono Muljono, - Mursalim Nasution, Khairina Nofriza, Eri Noor Ageng Setiyanto, Noor Ageng Nova Rijati Novida, Irma Novitriansyah, Bob Nurhayati Sitorus NURUL HIDAYAH prabawa, randy aditya Pramana, Hendri Julian Pratama, Arfian Nanda Yogi Pulung Nurtantio Andono Purwanto Purwanto Putra, Tegar Islami Putro, Bagus Prindo Sugihartono R Arief Nugroho Rahman, Fathor Rahman, Sarli Rangkuti, Rahmadsyah Ravindo, Besky Pramudya Refky Fielnanda Retno Sunu Astuti Ridha Rahmawati Rini Fidiyani Romi Ilham, Romi Roy Aprianto, Roy Sahbar, Robi Sahninda, Berian Putra Sari Ayu Wulandari Septian Enggar Sukmana Setiawan, Dicky Setyawan, Onny Siti Muslifah, Siti Slamet Sumarto Soeleman, M Arief Solichul Huda Somad, Agus Sri Astuti Sri Slamet Mulyati, Sri Slamet SUGIARTO, LAGA Sugiarto, Triga Agus Sugito - Suharnawi Suharnawi Suharnawi Syahputra, Hidayat Syaiful A. Septemuryantoro Teguh Budi Prijanto, Teguh Budi Ujang Nurjaman, Ujang Wahyudi, Payzar Wicaksono, Duta Firdaus Widianto, Dhoni WIJAYANTO WIJAYANTO Yetri Hasan Yolanda, Oppie Yudistira, Ivan Bhakti Yuli Prasetyo Adhi Yuliana, Dhea Arsinta Yundari, Yundari Yusrizal Yusrizal