Article Per Year (5 Year)
p-Index From 2020 - 2025
1.829
P-Index
This Author published in this journals
All Journal BERKALA FISIKA Proceedings of KNASTIK Jurnal Simetris Bulletin of Electrical Engineering and Informatics Scientific Journal of Informatics JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia
Ipung Permadi
Program Studi Teknik Informatika, Fakultas Sains dan Teknik, Unsoed
Computer Science & IT Education Electrical & Electronics Engineering Engineering Physics

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Monkeypox Classification Using Convolutional Neural Networks (CNN) Pruned Residual Network-50 (ResNet-50) Architecture on Flutter Framework Priatna, Irfan; Permadi, Ipung; Nofiyati, Nofiyati
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.2025.6.4.5232

Abstract

The monkeypox outbreak, which was previously only found in Africa, has now spread to other continents, including Asia, causing public concern as it occurred shortly after the COVID-19 pandemic was declared over. This disease has symptoms similar to cowpox, chickenpox, and measles, making early detection based on visual observation difficult. To address this issue, various studies have developed Deep Learning (DL)-based classification models using datasets such as WSI, MSID, MCSI, and MSLD v2, which are also utilized in this research. This study proposes a pruned ResNet-50 model using the Global MP method for pruning and QAT for quantization. These modifications not only maintain the model's performance with an accuracy of 94.44%, precision of 94.12%, recall of 94.71%, and F1-score of 94.16%, but also significantly reduce the model size to just 20.993 MB. As a result, the model can be implemented on Android devices with limited resources, enabling rapid and practical early detection of monkeypox in the field without requiring large-scale servers. Blackbox testing results show that the Flutter-based application utilizing this model performs well, potentially providing tangible support for medical personnel and the public in monitoring the spread of monkeypox in a more efficient and accessible manner.
Comparative performance analysis of LSTM, GRU, and bidirectional neural networks for political ideology classification Afuan, Lasmedi; Hidayat, Nurul; Permadi, Ipung; Iqbal, Iqbal; Suprihanto, Didit; Bintang Pradana Yosua, Panky; Alfarez Marchelian, Reyno
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9980

Abstract

Political ideology classification is crucial for understanding social polarization, monitoring democratic processes, and identifying bias on online platforms. This study compares the performance of long short-term memory (LSTM), gated recurrent unit (GRU), and bidirectional GRU (Bi-GRU) neural network models in classifying liberal and conservative political ideologies from social media text data. The Bi-GRU achieved the best results with 88.75% accuracy and 89.16% F1-score, highlighting its strength in contextual analysis. These findings suggest their applicability in areas such as election monitoring and the analysis of political discourse. This study contributes to the field of political text classification by offering a comparative analysis of deep learning architectures. The dataset utilized covers a wide range of issues, including social, political, economic, religious, and racial topics, demonstrating its comprehensive nature. Visualizations using WordCloud and uniform manifold approximation and projection (UMAP) reveal distinct ideological patterns, validating the dataset’s quality for training models. The findings underscore the importance of utilizing advanced bidirectional architectures for nuanced tasks, such as ideology classification, where contextual understanding is crucial. These insights open avenues for future research, such as the application of Bi-GRU in analyzing multilingual political ideologies or real-time sentiment tracking during election campaigns.
PROGRESSIVE WEB APP-BASED ONLINE REPAIR SHOP APPLICATION USING MAPBOX AND GEOLOCATION API Putra Rahmat, Muhammad Aryo; Nofiyati, Nofiyati; Permadi, Ipung
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.1243

Abstract

Motorcycle users in Indonesia continue to increase every year. This has implications for the increasing need for motorcycle repair or maintenance service providers. This need is an emergency, but this is a problem because the lack of information regarding the location of the nearest workshop makes the process of finding a repair shop consuming a lot of time and energy. This study aims to develop an Online Workshop application that can present a map with the nearest repair shop location using Mapbox and the Geolocation API to make it easier for motorbike users to find a repair shop. In addition, this application allows users to be able to call a mechanic to come to the location. The Bengkel Online application is built using Firebase as a database and applies progressive web apps technology. The results of this study indicate that the online workshop application can be used to order repair services and call a mechanic to the location properly and accurately as indicated by the results of application testing which shows that all features function properly.
IMPLEMENTATION OF THE ELECTRE METHOD IN THE RECOMMENDATION SYSTEM AND API SERVICE PROVISION FOR TOURIST DESTINATIONS IN BANYUMAS REGENCY WITH INTERACTIVE MAPPING Guntur Satya Pramudya; Permadi, Ipung; Chasanah, Nur
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 1 (2024): JUTIF Volume 5, Number 1, February 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.1.1768

Abstract

The Banyumas Regency is a region with a diverse range of tourist attractions, making tourism one of its crucial economic sectors. The multitude of tourist destinations in Banyumas often poses a challenge for visitors in choosing destinations that align with their preferences. To address this issue, this research applies the Elimination et Choix Traduisant la Réalité (ELECTRE) method in multi-criteria decision-making. The objective of this study is to provide recommendations for suitable tourist destinations based on tourists' interests, along with an interactive mapping feature that offers a geographical overview and distance information for these destinations. Recognizing the importance of accessible tourism information, this research also implements Application Programming Interface (API) services to facilitate the integration of tourist destination data into various applications and platforms. The system is built as a web-based application using the Laravel framework and MySQL database. The output of this research is a web-based recommendation system that can be used to help tourists who want to vacation according to their preferences and the API service helps interested parties to integrate tourism data into their system.
Co-Authors Alfarez Marchelian, Reyno Alfarizi, Rizki Zakaria Arief Kelik Nugroho, Arief Kelik Bintang Pradana Yosua, Panky Didit Suprihanto, Didit Eddy Maryanto Faturrahim, Muhammad Guntur Satya Pramudya Hanifa, Aini Hartono Hartono Iqbal Iqbal Kurniawan, Yogiek Indra Lasmedi Afuan Nofiyati Nofiyati, Nofiyati Nur Chasanah Nurul Hidayat Priatna, Irfan Putra Rahmat, Muhammad Aryo Rahayu, Swahesti Puspita Sari, Enjelita Sugito - Tuti Alawiyah Yasifa, Ana Romadhona