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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) MAGISTRA Jurnal Kelautan Tropis Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) METASASTRA: Jurnal Penelitian Sastra Al Mahara: Jurnal Pendidikan Bahasa Arab Prosiding Conference on Research and Community Services Indonesian journal of teaching and learning Journal of Community Health and Preventive Medicine (JOCHAPM) Proceeding International Pelita Bangsa VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Informatika: Jurnal Pengembangan IT Journal of Data Science, Technology, and Artificial Intelligence
Abdul Ghofir
Department of Neurology, Sardjito Hospital, Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Optimizing firewall timing for brute force mitigation with random forests Turmudi Zy, Ahmad; Isarianto, Isarianto; Muhammad Rifa'i, Anggi; Ghofir, Abdul; Dwi Miharja, Muhammad Najamuddin; Tri Sasongko, Ananto
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp2945-2954

Abstract

Mitigating brute force attacks remains a critical challenge in cybersecurity, requiring intelligent and adaptive solutions. This research introduces an approach to optimizing firewall deployment timing for enhanced brute force mitigation using pattern recognition techniques with the random forest algorithm. Leveraging the UNSW-NB15 dataset, comprehensive preprocessing and exploratory data analysis (EDA) were performed to ensure the dataset's suitability for machine learning applications. The study utilized a structured workflow, splitting the dataset into training and testing subsets to rigorously evaluate the model's performance. The proposed random forest model achieved a high accuracy of 98.87%, supported by precision, recall, and F1-scores that confirm its effectiveness in distinguishing normal and attack traffic. The confusion matrix further validated the model’s robustness, highlighting its potential in improving the efficiency of firewall deployment. These findings demonstrate the critical role of advanced machine learning techniques in enhancing cybersecurity defenses, particularly in mitigating brute force attacks through optimized, data-driven strategies.
Pengiriman Pesan Whatsapp Massal Otomatis dengan XPath Address Finder, Checker, dan Fitur Update Hartanto Putra, Yohannes Dimas; Ghofir, Abdul
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 2 (2022)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i2.3577

Abstract

WhatsApp is a reliable, secure, simple calling and messaging service that is available for free. This service was originally developed as the short message service alternative, and now supports location, document, video, photo, and text exchange features. This service has over two billion active users in one hundred and eighty countries. With some of these advantages, this service can be used as an alternative to SMS to convey information in bulk. For example, broadcasting information or reminders of certain things or advertising. By using WhatsApp, the costs required for the broadcasting process will be very small compared to using SMS. However, it would be very inefficient and time-consuming if the process of broadcasting the information was still done manually by retyping or copy-pasting messages from target to target. This reseach aims to develop an application that can automate the process of sending mass messages automatically through the WhatsApp service. In addition, a Virtual Contact File creation feature was also developed to help users add contacts from targets. To improve the adaptability to HTML structure changes on the WhatsApp Web website, an XPath address update feature on key elements was also developed. To support the update feature, the XPath address finder and checker on certain elements in a web page function were also developed.
Struktur Komunitas Ikan Karang di Perairan Kota Sorong, Papua Barat Daya, Indonesia Ghofir, Abdul; Haryanti, Dwi; Hartati, Retno; Orisu, Anthon Apolos
Jurnal Kelautan Tropis Vol 28, No 3 (2025): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v28i3.28886

Abstract

Reef fish are one of the biota that are sensitive to environmental changes. Their abundance and diversity are supported by good coral reef conditions. This makes them a bioindicator of coral reef conditions. This study aims to examine the diversity of reef fish, ecological indices, and conditions of coral reef benthic substrates in Sorong City waters from September to November 2024 at ten research stations using the Underwater Visual Census (UVC) and Underwater Photo Transect (UPT) methods. The study found 174 species of reef fish from 26 families (107 major, 55 target, and 12 indicator). The diversity (H') and evenness (E) indices were moderate to high at 1.59-3.41 and 0.41-0.89, respectively, and dominance (C) was low at 0.04-0.48. PCA analysis showed that hard coral cover (HC) as the main determinant of reef fish community structure correlated with the families Pomacentridae, Chaetodontidae, Scaridae, Pempheridae, and Blennidae. This finding is important for marine resource management and conservation in the waters of Sorong City.   Ikan karang merupakan salah satu biota yang peka dengan perubahan lingkungan. Kelimpahan dan keanekaragamannya didukung oleh kondisi terumbu karang yang baik. Hal ini menjadikannya sebagai bioindikator kondisi terumbu karang. Penelitian ini bertujuan mengkaji keanekaragaman ikan karang, indeks ekologi, dan kondisi substrat bentik terumbu karang di perairan Kota Sorong pada September-November 2024 di sepuluh stasiun penelitian menggunakan metode Underwater Visual Census (UVC) dan Underwater Photo Transect (UPT). Hasil penelitian ditemukan ikan karang 174 spesies dari 26 famili (107 mayor, 55 target, dan 12 indikator). Indeks keanekaragaman (H’) dan keseragaman (E) sedang hingga tinggi 1,59-3,41 dan 0,41-0,89, serta dominasi (C) rendah 0,04-0,48. Analisis PCA menunjukkan tutupan karang keras (HC) sebagai penentu utama struktur komunitas ikan karang berkorelasi dengan Pomacentridae, Chaetodontidae, Scaridae, Pempheridae dan Blennidae. Temuan ini penting untuk pengelolaan sumber daya laut dan konservasi di perairan Kota Sorong. 
Improving Students’ Interest and Learning Outcomes in Producing Explanation Texts Through the Scientific Approach Using the Problem-Based Learning Model Ghofir, Abdul
Indonesian Journal of Teaching and Learning Vol. 4 No. 4 (2025)
Publisher : Edupedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56855/intel.v4i4.1826

Abstract

Purpose – This study aims to address the low interest and learning outcomes of students in producing explanation texts at MA Nurul Muttaqin Wedi Kapas Bojonegoro. The main objective is to determine the improvement in students’ interest and learning outcomes through the Scientific Approach using the Problem-Based Learning (PBL) model during the 2024/2025 academic year. Methodology – This research employed a classroom action research (CAR) design involving 15 students of Grade XII Social Sciences. The study consisted of a pre-cycle and one cycle of intervention. Data were collected through observation and written tests. During the pre-cycle, students received explanation text material through conventional lecturing and completed a preliminary test. In Cycle 1, instructional actions were implemented using the PBL model to enhance students’ engagement and performance. Data analysis included descriptive comparison of student interest and test achievement before and after the intervention. Findings – The pre-cycle results showed that only 5 students (33%) demonstrated interest in producing explanation texts, while 10 students (67%) exhibited low interest. Learning outcomes were also low, with merely 1 student (6.66%) achieving the minimum mastery criterion (75). After implementing PBL in Cycle 1, student performance improved significantly: 8 students (54%) scored 100, while the remaining 7 students (46%) scored 80, resulting in a 100% mastery rate. Student interest also increased substantially based on observation indicators. These findings indicate that the PBL model effectively enhances both student interest and learning outcomes. Novelty – This study contributes to the field by demonstrating the effectiveness of integrating the Scientific Approach with the PBL model to improve students’ ability to produce explanation texts—an area that has received limited empirical attention in Indonesian secondary education. Significance – The findings provide practical insights for teachers, curriculum developers, and education practitioners in designing learning strategies that enhance student engagement and performance, especially in language learning and text production.
Co-Authors . Wahyuni, . Ahmad Turmudi Zy Andriani Anggi Muhammad Rifa'i Dwi Haryanti, Dwi Edora Esti Ismawati Eva Annisaa Hartanto Putra, Yohannes Dimas Hastutik, Sovia Ira Holipah, Holipah Insidini Fawwaz Isarianto Isarianto, Isarianto Jeckson Sidabutar Muhammad Najamuddin Dwi Miharja Muhammad Rifa'i, Anggi Nugroho, Agung Orisu, Anthon Apolos Retno Hartati Retno Wulandari Risnawati, Nila Rusdianto Roestam Santosa, Gunawan Budi Sari, Lely Kurnia Simarangkir, Manase Sahat H Siswandi, Arif Surojudin, Nurhadi Suryadi, Dikky Tri Sasongko, Ananto Turmud Zy, Ahmad Turmudi Zy, Ahmad Wijayatri, Ratna Zy, Ahmad Turmudi