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All Journal TEKNIK Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Agrikultura ASAS : Jurnal Hukum Ekonomi Syariah Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura Planta Tropika Kultivasi METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Biosaintifika: Journal of Biology & Biology Education Journal of Tropical Crop Science Jurnal Kesehatan Buletin Ilmiah Sarjana Teknik Elektro Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Journal of Energy and Electrical Engineering (JEEE) International Journal of Robotics and Control Systems Jurnal Ilmu Komputer dan Informatika Jurnal Pusat Inovasi Masyarakat DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Journal of Advanced Health Informatics Research Control Systems and Optimization Letters Jurnal Ilmiah Ekonomi Terpadu Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Purwono Purwono, Purwono
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Understanding Generative Adversarial Networks (GANs): A Review Purwono, Purwono; Wulandari, Annastasya Nabila Elsa; Ma'arif, Alfian; Salah, Wael A.
Control Systems and Optimization Letters Vol 3, No 1 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v3i1.170

Abstract

Generative Adversarial Networks (GANs) is an important breakthrough in artificial intelligence that uses two neural networks, a generator and a discriminator, that work in an adversarial framework. The generator generates synthetic data, while the discriminator evaluates the authenticity of the data. This dynamic interaction forms a minimax game that produces high-quality synthetic data. Since its introduction in 2014 by Ian Goodfellow, GAN has evolved through various innovative architectures, including Vanilla GAN, Conditional GAN (cGAN), Deep Convolutional GAN (DCGAN), CycleGAN, StyleGAN, Wasserstein GAN (WGAN), and BigGAN. Each of these architectures presents a novel approach to address technical challenges such as training stability, data diversification, and result quality. GANs have been widely applied in various sectors. In healthcare, GANs are used to generate synthetic medical images that support diagnostic development without violating patient privacy. In the media and entertainment industry, GANs facilitate the enhancement of image and video resolution, as well as the creation of realistic content. However, the development of GANs faces challenges such as mode collapse, training instability, and inadequate quality evaluation. In addition to technical challenges, GANs raise ethical issues, such as the misuse of the technology for deepfake creation. Legal regulations, detection tools, and public education are important mitigation measures. Future trends suggest that GANs will be increasingly used in text-to-image synthesis, realistic video generation, and integration with multimodal systems to support cross-disciplinary innovation.
Virus Host Prediction with Metagenomic Features using Support Vector Machine Algorithm and Grid Search Cross Validation Optimization Purwono, Purwono; Annastasya Nabila Elsa Wulandari; Novieta Hardeani Sari
Journal of Advanced Health Informatics Research Vol. 2 No. 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jahir.v2i3.298

Abstract

Viruses and bacteria continue to evolve alongside humans. Viruses are spreading too fast and causing a huge loss of life in the world. Viruses play an important role as dangerous pathogens that continue to spread various infectious diseases. Metegenomics is the application of large sequencing technology to genetic material obtained directly from one or more environmental samples, resulting in at least 50Mb random samples and multiple long sequences. It is important to identify the origin of the virus to prevent the spread of outbreaks. Understanding the biology of these viruses and how they affect their ecosystems depends on knowing which host they infect. We can use metagenomic features derived from the viral genome to determine the type of virus host. The activity of predicting virus hosts has traditionally taken a lot of time and effort in the process. Technology can be one of the solutions that can be used to predict virus host types. One of the technologies that can be used is machine learning. We chose one of the machine learning algorithms, SVM, to predict viral hosts with metagenomics features, namely genome size, GC% and number of CDS from viral genomes derived from 7326 viral genomes. The SVM model was further optimised with GS and K-CV methods. This optimisation resulted in an increase in the accuracy value of the model when predicting virus hosts from 80% to 84%.
Potential Use of U-Net and Fuzzy Logic in Diabetic Foot Ulcer Segmentation: A Comprehensive Review Rachman Hidayat; Annastasya Nabila Elsa Wulandari; Purwono, Purwono; Khoirun Nisa
Journal of Advanced Health Informatics Research Vol. 2 No. 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jahir.v2i3.299

Abstract

Diabetic foot ulcer (DFU) image segmentation is still an interesting concern of researchers. Various new deep learning-based methods have been proposed to handle this image segmentation problem. Some research problems that are still faced by many researchers are dataset problems that are considered limited and need further clinical trials. The challenges of data problems include heterogeneity and image quality variations in the shape of skin lesions and subjectivity when annotating. The evaluation results from previous studies also show a considerable difference where there are still low accuracy results, but also too high accuracy is still found so that it is considered to have the potential for overfitting. As a result of the review of various related studies, there is an interesting potential of applying fuzzy logic to the U-Net architecture. This architecture has become very popular because it is widely used in medical image segmentation. The application of fuzzy logic can be applied to the U-Net architecture such as encoder, decoder, skip connection to adjust various U-Net parameters.
Transformer Models in Deep Learning: Foundations, Advances, Challenges and Future Directions Mangkunegara, Iis Setiawan; Purwono, Purwono; Ma’arif, Alfian; Basil, Noorulden; Marhoon, Hamzah M.; Sharkawy, Abdel-Nasser
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 2 (2025): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i2.13053

Abstract

Transformer models have significantly advanced deep learning by introducing parallel processing and enabling the modeling of long-range dependencies. Despite their performance gains, their high computational and memory demands hinder deployment in resource-constrained environments such as edge devices or real-time systems. This review aims to analyze and compare Transformer architectures by categorizing them into encoder-only, decoder-only, and encoder-decoder variants and examining their applications in natural language processing (NLP), computer vision (CV), and multimodal tasks. Representative models BERT, GPT, T5, ViT, and MobileViT are selected based on architectural diversity and relevance across domains. Core components including self-attention mechanisms, positional encoding schemes, and feed-forward networks are dissected using a systematic review methodology, supported by a visual framework to improve clarity and reproducibility. Performance comparisons are discussed using standard evaluation metrics such as accuracy, F1-score, and Intersection over Union (IoU), with particular attention to trade-offs between computational cost and model effectiveness. Lightweight models like DistilBERT and MobileViT are analyzed for their deployment feasibility. Major challenges including quadratic attention complexity, hardware constraints, and limited generalization are explored alongside solutions such as sparse attention mechanisms, model distillation, and hardware accelerators. Additionally, ethical aspects including fairness, interpretability, and sustainability are critically reviewed in relation to Transformer adoption across sensitive domains. This study offers a domain-spanning overview and proposes practical directions for future research aimed at building scalable, efficient, and ethically aligned. Transformer-based systems suited for mobile, embedded, and healthcare applications.
Krasa Bungah sebagai Inovasi pada Pengelolaan Sampah Berbasis Ekonomi Sirkular Purwono, Purwono; Rahayu, Nur Laila
Jurnal Ilmiah Ekonomi Terpadu (Jimetera) Vol 5, No 2 (2025): JURNAL ILMIAH EKONOMI TERPADU
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jimetera.v5i2.12022

Abstract

The waste problem in Indonesia is becoming increasingly complex in line with the growth of the population and public consumption. The circular economy approach offers a sustainable alternative solution based on the principles of reducing, reusing, and recycling waste to maintain its economic value. This study examines a local, community-based innovation known as KRASA BUNGAH as a waste management model that integrates the concept of a circular economy. Waste management innovation that provides direct benefits to the community can serve as a solution by addressing waste at its source. The aim of this research is to evaluate the effectiveness of KRASA BUNGAH in supporting sustainable waste management. This study employs a descriptive method. The research sites were purposively selected in three locations. The study was conducted over eight months, with data collection carried out monthly. The results show that KRASA BUNGAH can serve as an innovative waste management model that promotes community self-reliance and is based on the principles of the circular economy.
Uji Kompatibilitas Sumber Inokulan FMA Lokal dan Periode Penjenuh Terhadap Karakteristik Agronomi Tebu (Saccharum officinarum L.) Sefrila, Marlin; Ghulamahdi, Munif; Purwono, Purwono; Melati, Maya; Mansur, Irdika
Agrikultura Vol 36, No 1 (2025): April, 2025
Publisher : Fakultas Pertanian Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/agrikultura.v36i1.62360

Abstract

Permasalahan pada lahan pasang surut dapat diatasi dengan penerapan sistem teknologi pertanian spesifik lokasi seperti penerapan sistem budidaya jenuh air dan pemanfaatan mikroorganisme lokal seperti jamur mikoriza arbuskular (FMA) sehingga lahan pasang surut marginal dapat menjadi lahan produktif dan tanaman tebu dapat berproduksi secara optimal. Penelitian ini bertujuan untuk menganalisis pengaruh penerapan beberapa sumber inokulan FMA lokal dan periode pasang surut dan jenuh air terhadap karakteristik agronomi tebu. Percobaan menggunakan Rancangan Blok Lengkap Teracak dengan dua faktor. Faktor pertama adalah inokulasi FMA yang terdiri dari tanpa inokulasi, inokulan jagung, inokulan kedelai, inokulan tebu, dan inokulan tanaman gabungan (tebu-kedelai). Faktor kedua adalah lamanya kejenuhan yaitu 0, 2 dan 4 bulan setelah tanam, sehingga terdapat 15 perlakuan dengan tiga kali ulangan. Hasil penelitian menunjukkan bahwa interaksi antara sumber inokulan dan lama kejenuhan tidak berpengaruh nyata terhadap semua parameter pertumbuhan dan fisiologis. Aplikasi berbagai sumber inokulan berpengaruh positif terhadap pertumbuhan dan fisiologi tanaman tebu, khususnya sumber inokulan jagung. Baik pada umur 2 maupun 4 bulan setelah tanam, kondisi jenuh tanah menunjukkan pertumbuhan dan respons fisiologis terbaik dibandingkan dengan sistem budidaya konvensional (tanpa kondisi jenuh).
Klasterisasi Pemetaan Kedisiplinan Pegawai Berdasarkan Rekap Kehadiran menggunakan Algoritma Clustering K-Means Ashari, Imam Ahmad; Purwono, Purwono; Indriyanto, Jatmiko; Sandi A., Arif Setia
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp12-18

Abstract

Employee discipline is one of the key success factors in a company. Work discipline has an important role in the formation of a positive work environment. One of the things that shows employee discipline is the time of attendance. Attendance time is usually recorded at the time the employee enters and leaves. Disciplinary information can be mapped into several groupings so that it is easy for decision makers to read. One of the computational methods that can perform data mapping is the K-Means Clustering method. The K-Means Clustering method can group data based on their characteristics. In this study, attendance data were analyzed using the K-Means method to obtain disciplinary groupings. The number of Clusters is calculated using the elbow method, 3 Clusters are obtained which are the best Cluster choices, namely Clusters 0, 1, and 2. The data analysis process shows Cluster 2 is the Cluster with the best level of discipline. From the analysis, it shows that the K-Means Clustering method can classify data based on employee discipline. Based on these results, decision makers can be helped in assessing employee discipline at Universita Harapan Bangsa using the disciplinary data grouping that has been made.
Dimensi Kosep Wisata Halal: al-Dlaruriyat al-Sitt Pemandian Air Panas Sariater di Subang Husen, Fathurrohman; Abas, Zainul; Mukhlishin , Mukhlishin; Tazhdinov, Magomed; Anggrella, Dita Purwinda; Purwono, Purwono
ASAS Vol. 17 No. 01 (2025): Asas, Vol. 17, No. 01 Juni 2025
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/v1czv551

Abstract

The concept of halal tourism has become a trend and focus of discussion lately. This shows the dynamization of fiqh in the tourism sector. This study aims to explore how the management of Sariater hot springs in Subang responds to fiqh, which is the needs of tourists who implement the concept of halal tourism. The method used is qualitative with primary data from interviews with tourism managers and site observations. Secondary data uses documentation of releases on internet media. As a result, the manager of Sariater responds to the dynamism of fiqh owned by tourists by making policies that lead to the concept of halal tourism. There are three actions that researchers get; first, maintaining cleanliness and preserving trees around tourist attractions, reflecting hifzu al-bi’ah; second, providing special facilities for women (Women Only), demonstrating hifzu al-din; third, monitoring water temperature and mineral content to ensure compliance with hifzu al-nafs. The author recommends that additional facilities be provided in the future, such as halal-certified food and beverages, as well as sharia-compliant massage services, to enhance the overall halal tourism experience and attract more Muslim and non-Muslim tourists
Occurrence of Natural Vertical Transmission of “Zika like Virus” in Aedes aegypti Mosquito in Jambi City Satoto, Tri Baskoro; Pasca Wati, Nur Alvira; Purwaningsih, Wida; Josef, Hari Kusnanto; Purwono, Purwono; Rumbiwati, Rumbiwati; Hermanto, Hermanto; Frutos, Roger
Kesmas Vol. 13, No. 4
Publisher : UI Scholars Hub

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

Abstract

Zika virus can be transmitted through mosquitoes such as Aedes aegypti and Ae. albopictus. During the transition period of 2014–2015, an outbreak of dengue was reported in Jambi City, during which several sufferers were screened positive for Zika virus infection by the Eijkman Institute. It was interesting to note that all of those positive for Zika virus infection were indigenous residents and none of them had a history of international travel. This descriptive analytic study with a cross-sectional design study was conducted to present an overview of Aedes spp. population using ovitrap and egg colonization methods and to detect the presence of Zika virus. Samples were analyzed using reverse transcription polymerase chain reaction for detection of Zika “like” virus and the mapping results were described. The Ovitrap Index was 44.74%, and examination of egg colonization collected from 40 neighborhoods revealed the presence of Zika “like” virus in samples obtained from the fourth neighborhood in Talang Bakung village. This result indicates the occurrence of natural vertical transmission of Zika “like” virus in A. aegypti mosquito in Jambi City, which potentially resulted in an outbreak.
Co-Authors Adji, Diva Permata Adriani, Vita Agung Karuniawan AHMAD JUNAEDI Ainurrofiq, Mohammad Naffah Alfian Ma’arif Anas Dinurrohman Susila Anik Sarminingsih, Anik Annastasya Nabila Elsa Wulandari Ardhi Ristiawan Ardianto, Rian Arif Setia Sandi A. Arya Rezagama Basil, Noorulden Budi Nugroho Cahyani, Gesa Nur Deli, Syekh Zulfadli Arofah Dharend Lingga Wibisana Dita Purwinda Anggrella Dyah, Dwi Tristining Eka Maulidiya, Sherly Eka Wardhani S., Eka Eso Solihin Fadillah, Arvin Muhammad Fathurrahman, Haris Imam Karim Fatmawati, Puput Yosi Febria Cahya Indriani Fitriansyah, Muhammad Ramdhani Frisky, Aufaclav Zatu Kusuma Frutos, Roger Hadiyanto Hadiyanto Hamdani, Kiki Kusyaeri Haq, Qazi Mazhar ul Hermanto Hermanto Hermawan Hermawan Husen, Fathurrohman I Ketut Suada Imam Ahmad Ashari, Imam Ahmad Indriyanto, Jatmiko Irdika Mansur Istiqomah, Hani Janu Saptari, Janu Josef, Hari Kusnanto Ketty Suketi Khairani Khairani KHOIRUN NISA Kurniawati, Ari Mahfud Afandi, Mahfud Mangkunegara, Iis Setiawan Marhoon, Hamzah M. Marlin Sefrila Maulana, Haris Maya Melati Mei Ahyanti Mia Yustika, Mia Mochtar Hadiwidodo Mohamad Rahmad Suhartanto Mohammad Fatkhul Mubin, Mohammad Fatkhul Muhammad Amin Bakri Mukhlishin , Mukhlishin Munif Ghulamahdi murwanto, bambang Nadia Nuraniya Kamaluddin Novieta Hardeani Sari Nurfaiz, Agus Nurhalizah, Ria Suci Nurul Fajri Ramadhani, Nurul Fajri Nurwulan Purnasari Pangesti, Lintang Desy Pascawati, Nur Alvira Prabowo, Zuhda Nur Purwaningsih, Wida Putra, Jessa Syah Putri, Lystiana Dewi Rachman Hidayat Rahayu, Nur Laila Rahmaniar, Wahyu Restuono, Joko Rija Sudirja Rumbiwati, Rumbiwati Salah, Wael A. Sandra Arifin Aziz Santoso, Dwi Andreas Saphira, Debby Bella Sarwono Sarwono Satriya Pranata Septin Puji Astuti Setiyaningrum, Ika Feni Setyo Supratno Sharkawy, Abdel-Nasser Silviani, Wahyu Dian Siti Aisah Sudirman Yahya Suryo Wiyono Syaiful Anwar Tazhdinov, Magomed Titik Istirokhatun Tri Baskoro Satoto, Tri Baskoro Trigunarso, Sri Indra Tristiyaningrum, Diana Tuny, Nurfitriyana Ulya, Annida Unnatiq Vranada, Aric Wiharyanto Oktiawan Wiwit Rahajeng Wulandari, Annastasya Nabila Elsa Y.Paidjo Y.Paidjo, Y.Paidjo Yuris Tri Naili