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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Register: Jurnal Ilmiah Teknologi Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal Ecogen El-Mujtama: Jurnal Pengabdian Masyarakat INJURITY: Journal of Interdisciplinary Studies Journal Of Artificial Intelligence And Software Engineering SmartComp El-Mujtama: Jurnal Pengabdian Masyarakat
Wibowo, Prasetyo
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Religion Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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An in-depth performance analysis of the oversampling techniques for high-class imbalanced dataset Wibowo, Prasetyo; Fatichah, Chastine
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 7, No 1 (2021): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v7i1.2206

Abstract

Class imbalance occurs when the distribution of classes between the majority and the minority classes is not the same. The data on imbalanced classes may vary from mild to severe. The effect of high-class imbalance may affect the overall classification accuracy since the model is most likely to predict most of the data that fall within the majority class.  Such a model will give biased results, and the performance predictions for the minority class often have no impact on the model. The use of the oversampling technique is one way to deal with high-class imbalance, but only a few are used to solve data imbalance. This study aims for an in-depth performance analysis of the oversampling techniques to address the high-class imbalance problem. The addition of the oversampling technique will balance each class’s data to provide unbiased evaluation results in modeling. We compared the performance of Random Oversampling (ROS), ADASYN, SMOTE, and Borderline-SMOTE techniques. All oversampling techniques will be combined with machine learning methods such as Random Forest, Logistic Regression, and k-Nearest Neighbor (KNN). The test results show that Random Forest with Borderline-SMOTE gives the best value with an accuracy value of 0.9997, 0.9474 precision, 0.8571 recall, 0.9000 F1-score, 0.9388 ROC-AUC, and 0.8581 PRAUC of the overall oversampling technique.
Rancang Bangun Sistem Informasi Sekolah di SMK Negeri 1 Jetis Mojokerto Yunanto, Andhik Ampuh; Martono, Hero Yudo; Prasetyaningrum, Ira; Ahsan, Ahmad Syauqi; ., Nailussa’ada; Asmara, Rengga; Wibowo, Prasetyo; Santoso, Dian Septiani; Humaira, Fitrah Maharani; Al, Mohammad Jawahir; Panggalih, Bintang Ampuh; Hidayatullah, Taufiq; Zufar, Farhan Izzudin Az; Hasnaa, Rosyiidah
El-Mujtama: Jurnal Pengabdian Masyarakat Vol 4 No 2 (2024): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v4i2.5358

Abstract

The school information system, especially the Industrial Work Practices activity attendance system at SMKN 1 Jetis, is still done manually, that is, it still uses books and you have to fill in an activity journal every day in that book. After the internship ends, students are asked to collect the books, which the teacher will use to collect data on whether the student skipped class, permission and so on. Meanwhile, teachers do not have other data that can be used for data collection if the book is damaged or lost. This problem occurs because there is no system or application that is able to provide convenience for the process of collecting data and checking accurately. This information system created uses web or mobile technology which is tailored to the needs of system users and can make it easier for teachers to carry out the process of checking student attendance at internship activities through this attendance application, and we also provide a comparison of this application with other applications in order to determine the quality application quality and to determine the development of application features aimed at making it easier for users to use the application.
Perancangan Aplikasi Satu Data untuk Perhitungan Indikator Kinerja Umum Pemerintah Provinsi Jawa Timur Wibowo, Prasetyo; Saputra, Ferry Astika; Taufiqurrahman, Irfan
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 13, No 3 (2024): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v13i3.6566

Abstract

Pada era modern saat ini, seluruh kehidupan manusia tidak lepas dari penggunaan Teknologi Informasi, terutama pada bidang pemerintahan yang mana menerapkan Sistem Pemerintahan Berbasis Elektronik. Pemerintah Provinsi Jawa Timur merespon perkembangan teknologi dengan mengimplementasikan Sistem Pemerintahan Berbasis Elektronik guna meningkatkan efisiensi kinerja. Namun, penerapan Sistem Pemerintahan Berbasis Elektronik masih memiliki kekurangan, terutama terkait keredundanan data antar instansi pemerintahan. Hal ini menyebabkan ketidakvalidan data dan kemungkinan hasil yang berbeda saat diolah. Dengan bentuk arsitektur Sistem Pemerintahan Berbasis Elektronik yang bersifat taksonomi serta berbentuk terstruktur multi-level yang mengakibatkan tingginya kompleksifitas untuk melakukan diseminasi data khususnya ketika melakukan perhitungan Indikator Kinerja Utama. Melalui permasalahan yang dijelaskan maka peneliti mengembangkan sistem perancangan aplikasi satu data untuk perhitungan Indikator Kinerja Utama pemerintah provinsi Jawa Timur. Sistem yang dikembangkan digunakan untuk memudahkan pengguna dalam mengelola data berdasarkan kategori atau taksonomi. Dengan data yang diinputkan maka stakeholder dapat menentukan sebuah kebijakan berdasarkan data yang tersedia pada aplikasi tersebut secara real time dan diperbarui secara berkala.
Pengaruh Pertumbuhan Ekonomi, Jumlah Penduduk, dan Foreign Direct Investment Terhadap Kualitas Lingkungan Wibowo, Prasetyo; Kurniawati, Tri
Jurnal Ecogen Vol 7, No 3 (2024): Jurnal Ecogen
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jmpe.v7i3.16320

Abstract

The purpose of  This study aims to analyze the influence of economic growth, total population, and Foreign Direct Investment on environmental quality.  The type of data in this research is quantitative with the data source, namely secondary data, obtained from the Central Statistics Agency of Indonesia. The Secondary data used is the Time Series 2017-2021 and Cross section of districts/cities in West Sumatra province, regarding environmental quality, especially air quality, economic growth, total population , and foreign direct investment.  Economic Growth does not have a significant effect on environmental quality variables. Population growth has a significant effect on environmental quality variables. Firen Direct investment does not have a significant effect on the quality of environmental quality.
Named Entity Recognition in Medical Domain: A systematic Literature Review Kusuma, Selvia Ferdiana; Wibowo, Prasetyo; Abdillah, Abid Famasya; Basuki, Setio
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.3111

Abstract

Biomedical Named Entity Recognition (BioNER) is essential to bioinformatics because it identifies and classifies biological entities in biomedical texts. With the increasing number of biomedical literature and the rapid progress of the BioNER approach, it is essential to conduct a systematic literature review (SLR) on BioNER. This SLR consolidates existing information and provides directions for future studies in the BioNER field. This review systematically explores scientific journals and conferences published from 2019 to 2024. This research uses PubMed and Scholar as reference search databases because of their affiliation with other well-known publishers such as IEEE, Elsevier, and Springer. The results show a transition from conventional machine learning to deep learning. Neural networks and transformers show better performance in deep learning methods. The datasets often used in BioNER development are BC2GM, BC5CDR, and NCBI-Disease. Precision, Recall, and F1-Score are used in most papers to evaluate model performance. The performance of these models mostly depends on the availability of big annotated datasets and significant computational tools. Therefore, it is vital for future research to address the issues of annotated data and resource availability to build accurate models. Researchers should investigate the creation of ideal designs that lower computing complexity without compromising performance. Overall, this SLR offers a thorough overview of the latest research on BioNER. It provides significant insights for academics and practitioners in bioinformatics and medical research, helping them understand the innovative aspects of BioNER research.
APPLIED MACHINE LEARNING IN LOAD BALANCING Junaidi, Junaidi; Wibowo, Prasetyo; Yuniasri, Dini; Damayanti, Putri; Shiddiqi, Ary Mazharuddin; Pratomo, Baskoro Adi
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 18, No. 2, July 2020
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v18i2.a940

Abstract

A common way to maintain the quality of service on systems that are growing rapidly is by increasing server specifications or by adding servers. The utility of servers can be balanced with the presence of a load balancer to manage server loads. In this paper, we propose a machine learning algorithm that utilizes server resources CPU and memory to forecast the future of resources server loads. We identify the timespan of forecasting should be long enough to avoid dispatcher's lack of information server distribution at runtime. Additionally, server profile pulling, forecasting server resources, and dispatching should be asynchronous with the request listener of the load balancer to minimize response delay. For production use, we recommend that the load balancer should have friendly user interface to make it easier to be configured, such as adding resources of servers as parameter criteria. We also recommended from beginning to start to save the log data server resources because the more data to process, the more accurate prediction of server load will be.
Geotechnical Analysis for Slide Dump Geometry Optimization at PT Alamjaya Bara Pratama Mine Disposal Area in Pit 4B, Kutai Kartanegara Regency Disetia, Yoga Apri; Wibowo, Prasetyo; Kusuma, Pratama Gilang; Sya'bana, Faraz; Rizqullah, M. Tegar
Interdiciplinary Journal and Hummanity (INJURITY) Vol. 3 No. 12 (2024): INJURITY: Journal of Interdisciplinary Studies.
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v3i12.1388

Abstract

The management of open-pit mines is one of the challenges that often arises in the management of mine disposal areas, especially in supporting the efficiency of transporting mining materials. In this context, it is important to design a safe and efficient slide dump geometry to reduce the risk of slope failure and operational costs. The study involved the collection of geotechnical data, such as lithological and stratigraphic data obtained from exploratory drilling activities, as well as material property data, including cohesion and deep shear angle (). The collected data was then input into slope stability analysis software with the limit equilibrium method, which ultimately informed safe design recommendations for the disposal slide dump area. The results of this study not only provide an understanding of slope stability, but also highlight the importance of design optimization in supporting operational efficiency. Overall, this study confirms that the design of the disposal slides at the high wall of Pit 4B is stated to be feasible according to the calculations, simulations, and risk analysis that have been carried out, with the hope of meeting the aspects of safety, efficiency, and environmental sustainability.
Implementation of Cyber Threat Intelligence on Intrusion Detection System using STIX Framework Mahardhika, Yesta Medya; Saputra, Ferry Astika; Syarif, Iwan; Wibowo, Prasetyo; Ardhani, Misbahul
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): March
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6518

Abstract

Cyber threats are complex and diverse issues. Various types of threats emerge daily on the internet. In this research, we proposed a new Cyber Threat Intelligence platform to deal with the challenges above, using Snort as a tool for detecting anonymous network traffic and STIX as a serialization format and standardization of Cyber Threat Intelligence data. As a result, a Cyber Threat Intelligence based on Snort contains Apache Spark as the processing engine, MongoDB as the database, and STIX as the serialization format and data standardization. We test our platform by using two data sources, the CIC-IDS2017 dataset, and the real traffic. We successfully converted the snort alerts to STIX format and visualized them into graph. The graph shows indication of network traffic suspicious, the country of attacker come from, attribute information and attack pattern. The experiment shows that converting Snort data to STIX requires considerable time if the amount of data processed is getting bigger, Real Traffic needs 16 seconds of data preprocessing and 3 minutes of conversion time, while PCAP needs 35 seconds of preprocessing time and 13 minutes of conversion time.
Pengembangan dan Implementasi Chatbot Pelayanan Masyarakat Berbasis Dialogflow di Kelurahan Gebang Putih Surabaya Nailussa’ada, Nailussa’ada; Martono, Hero Yudo; Yunanto, Andhik Ampuh; Wibowo, Prasetyo; Santoso, Dian Septiani; Prasetyaningrum, Ira; Humaira, Fitrah Maharani; Khoirunnisa, Asy Syaffa; Alfaqih, Wildan Maulana Akbar; Al Falah, Adam Ghazy
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 5 No. 1 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v5i1.6262

Abstract

Residents of Gebang Putih, Surabaya, often face challenges in accessing administrative information, such as procedures for creating ID cards, updating family data, and registering for marriage. To address these issues, a chatbot based on Dialogflow was developed and integrated with the Telegram platform and a mobile application called Kagapi. This study included data collection from official government websites, interviews with local office staff, and dataset preparation for chatbot training. The results showed that the chatbot achieved a 92% accuracy rate in understanding and responding to user queries, with an average response time of 2-3 seconds. Integration with the mobile application expanded service features, including online queue management. Testing and evaluation by local office staff and residents indicated that the chatbot improved information accessibility and service efficiency by up to 80%. This chatbot demonstrates the potential to serve as an innovative solution in enhancing public service transparency and accessibility.
Co-Authors ., Nailussa’ada Abdillah, Abid Famasya Ahsan, Ahmad Syauqi Al Falah, Adam Ghazy Al, Mohammad Jawahir Alfaqih, Wildan Maulana Akbar Andhik Ampuh Yunanto Ardhani, Misbahul Ary Mazharuddin Shiddiqi Asmara, Rengga Baskoro Adi Pratomo Basuki, Setio Chastine Fatichah Damayanti, Putri Disetia, Yoga Apri Ferry Astika Saputra Hasnaa, Rosyiidah Humaira, Fitrah Maharani Ira Prasetyaningrum iwan Syarif Junaidi Junaidi Khoirunnisa, Asy Syaffa Kusuma, Pratama Gilang Kusuma, Selvia Ferdiana Mahardhika, Yesta Medya Martono, Hero Yudo Nailussa’ada, Nailussa’ada Panggalih, Bintang Ampuh Rizqullah, M. Tegar Santoso, Dian Septiani Sya'bana, Faraz Taufiq Hidayatullah Taufiqurrahman, Irfan Tri Kurniawati Yuniasri, Dini Zufar, Farhan Izzudin Az