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Mursalim Mursalim
IAIN Samarinda
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Journal : journal of system and computer engineering

 1 
Enhancing Intrusion Detection Using Random Forest and SMOTE on the NSL‑KDD Dataset Saputra, Febri Hidayat; Ilham, Ilham; Rizal, Muhammad; Wisda, Wisda; Wanita, First; Mursalim, Mursalim; Fadillah, Arif
Journal of System and Computer Engineering Vol 6 No 3 (2025): JSCE: July 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i3.2056

Abstract

Intrusion Detection Systems (IDS) play a crucial role in identifying suspicious activities on computer networks. However, a major challenge in developing machine learning-based IDS is the issue of class imbalance, where attacks—being minority classes—are often overlooked by classification models. This study aims to construct an intrusion detection system based on the Random Forest algorithm integrated with the Synthetic Minority Over-sampling Technique (SMOTE) to address this problem. The NSL-KDD dataset is used for evaluation, with the data split into 80% for training and 30% for testing. Experiments include Random Forest-based feature selection and performance evaluation using accuracy, precision, recall, and F1-score metrics. The results show that the Random Forest–SMOTE combination achieves an accuracy of 99.78%, precision of 99.70%, recall of 99.88%, and an F1-score of 99.79%. The confusion matrix indicates a very low rate of false positives and false negatives. Additionally, selecting the most influential features such as src_bytes and dst_bytes improves model efficiency. Thus, the integration of Random Forest and SMOTE proves to be effective in enhancing detection sensitivity toward attacks without compromising model precision. This approach offers a significant contribution to the development of adaptive, accurate, and deployable IDS in real-world network environments.
Enhancing Flood Prediction Using Hybrid LSTM-Transformer Deep Learning Approach Fadillah, Arif; Rizal H, Muhammad; Mursalim, Mursalim
Journal of System and Computer Engineering Vol 6 No 3 (2025): JSCE: July 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i3.2083

Abstract

Flood prediction is crucial for effective disaster management, yet it remains a complex challenge due to the nonlinear nature of meteorological processes. This study develops and evaluates a novel hybrid model that integrates Long Short-Term Memory (LSTM) networks and Transformer attention mechanisms to enhance predictive accuracy for rainfall-based flood forecasting. Using extensive Australian weather data collected from 49 stations over a decade (2007-2017), the model incorporates comprehensive feature engineering, including derived meteorological indicators, rolling statistical measures, and temporal lag features. The hybrid LSTM-Transformer architecture achieved superior precision (77.69%) and high accuracy (84.57%) compared to a Random Forest baseline model. Confusion matrix analysis illustrated the hybrid model’s strength in reducing false alarms, indicating a conservative yet highly reliable predictive performance. Feature correlation analysis revealed important relationships among temperature, humidity, pressure, and rainfall, highlighting the complexity of meteorological interactions. The findings demonstrate the effectiveness of integrating sequential and global temporal modeling for flood prediction, providing valuable guidance for operational forecasting systems and disaster preparedness strategies. This research contributes significantly to existing flood forecasting methodologies and suggests promising directions for future enhancements.
Augmented Reality and Virtual Reality in English Learning: Bibliometric Analysis of Research Trends, Citation Patterns, and Future Directions Tamra, Tamra; Wisda, Wisda; H, Muhammad Rizal; Wanita, First; Mursalim, Mursalim
Journal of System and Computer Engineering Vol 7 No 1 (2026): JSCE: January 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i1.2472

Abstract

This study conducts a comprehensive bibliometric analysis to map the development of research on Augmented Reality (AR) and Virtual Reality (VR) in English language learning (ELL) from 2010 to 2025. Using 386 Scopus-indexed documents, the analysis examines publication growth, citation performance, influential authors and countries, core sources, and the thematic evolution of immersive learning research. The findings show a sharp increase in scientific production after 2020, reflecting the global rise of digital and immersive technologies in education. China, Korea, and Malaysia emerge as dominant contributors, demonstrating Asia’s leading role in AR/VR-driven language innovation. Citation trends reveal the coexistence of foundational highly cited works and rapidly influential recent publications. Source impact analysis confirms the interdisciplinary character of the field, spanning educational technology, linguistics, psychology, and computer science. Trend-topic analysis indicates a shift from general pedagogical themes toward AI-enhanced AR applications, deep learning, virtual reality environments, and interactive vocabulary learning systems. Despite significant growth, gaps remain in long-term studies, cross-country collaboration, and research on advanced language competencies. Overall, the study provides a data-driven understanding of how AR and VR have evolved as transformative tools for English language learning and offers strategic insights for guiding future research agendas in immersive educational technologies.
Implementation of Fisher-Yates Shuffle Algorithm in Mobile-Based Vocabulary Learning Game for Children with Disabilities nasir, khaidir rahman; Tamra, Tamra; H, Muhammad Rizal; Wanita, First; Mursalim, Mursalim
Journal of System and Computer Engineering Vol 7 No 2 (2026): JSCE: April 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i2.2479

Abstract

Children with disabilities face significant challenges in vocabulary acquisition, necessitating the development of specialized educational technologies that accommodate their unique learning characteristics. This study aims to implement the Fisher-Yates shuffle algorithm in a mobile-based vocabulary learning game specifically designed for children with disabilities, ensuring unbiased randomization of educational content to promote authentic vocabulary comprehension. This research employed the Multimedia Development Life Cycle methodology, encompassing concept definition, design, material collection, assembly, testing, and distribution phases. The Fisher-Yates shuffle algorithm was implemented following the modern Durstenfeld variant, operating through backward iteration, generating random indices, and performing in-place element swapping. Algorithm validation was conducted through simulation calculations and chi-square goodness-of-fit statistical testing across ten thousand randomization trials. The application "Tebak Kosakata" successfully integrates the randomization algorithm with an accessible user interface, featuring multimodal content presentation, immediate positive feedback mechanisms, and cumulative scoring systems. Simulation calculations confirmed that each vocabulary item maintains an equal probability for occupying any position in the final sequence. Statistical validation yielded a chi-square value of 8.47 with nine degrees of freedom and a probability value of 0.487, confirming uniformly distributed randomization without detectable bias. The algorithm achieves optimal computational efficiency with linear time complexity and constant auxiliary space complexity. The randomization of question sequences and answer option positions effectively prevents pattern-based response strategies, encouraging authentic vocabulary learning rather than positional memorization. This study establishes that the Fisher-Yates shuffle algorithm constitutes an effective mechanism for implementing unbiased randomization in educational games for children with disabilities, bridging computational algorithm theory with special education pedagogy while providing a replicable methodological framework for future development.
Co-Authors A. Gani, A. AA Sudharmawan, AA Abbas Abbas Abd Muis Abd. Rasyid Syamsuri Abduh, Latif Muh. Abdul Azis Abdul Hafid Abdul Muiz Amir, Abdul Muiz Abdul Waris Abubakar Idham Madani Achmad Musyahid Idrus Addriana Bulu Baan Adekamwa, Adekamwa Adhiyati Saira, Arfianti Adi Sucipto, Adi Adrianus, Nopli Afriansyah, Indra Afrianto, Afrianto Agustina, Sitti AHMAD MUNIR Ahmad Salim, Ahmad Ahmad Yulianto Ahmad Zubaidi Ahmad, Khairin Ahsani, Nasirudin Al Akhbar Akhbar Alfian Rokhmansyah Ali, Lutfi Aliyah, Sofiyatil Alman, Alman Amal, Khusna Amalia, Anugerah Fitri Aman, Andryanto Amir, Andi Achdiati Amiruddin Amiruddin Amran Amran Andi Warisno Anggiratih, Endang Anis, Andi Alfa Novitasari Anis, Muh. Annur, Delaina Arfah, Aryati Arianto Arianto Arif Arif Arif Fadillah Arifin, M Bahri Arifin, Syaiful Arista, Wisdar Artati, Artati Arwini Arisandi Askar, Muhammad Ichfan Asriyana, . Asrul Asrul Astuti, J Astuti, Nurhikmah Dwi Asyrafi, Muhammad Attamimi, Muhammad Iqbal Awaliyah, Neneng Azizah Mirdin, Andi Azzah Bagas Dwi Yulianto Basri Modding Basri, Andi Cahaya Laela Basri, Yusriadi Hasan Budiono, Putri Amalia Bunyamin Maftuh Butsiarah Carmila, Selly Dwi D., Dahri Dahri Dahlan, Dahri Desti Rahayu Desy, Winda Oktovina Diah Ayu Gustiningsih Dinali, Lipran Djasang, Syahida Djasang, Syahidah Djunaid, Syafaat Elly Warni Ernawati Jassin, Ernawati Fajrianto, Wahyu Faruq, Muhamad Fatmawati, Wa Ode Fidyarini, Lailly First Wanita, First Frans, Richard Fuad Fansuri Gunawan Gunawan H, Muhammad Rizal Hae, Veronika Haerani Haerani Halimi, Dwiki Nur Hamzah Ahmad, Hamzah Hamzah, Muhammad Fadhil Hamzah, Muhammad Yasser Hanandita, Sisca Tiara Hanum, Irma Surayya Harfiani, Harfiani Hartina, Rini Darianti Hasanah, Chici Faradillah Hasbiyadi, Hasbiyadi Hasriani Muis Hermawati Hermawati, Hermawati Hudriansyah, Hudriansyah Husain, Dessy Liliani Husain, Muhammad Zakir Bin Ibnu Khaldun Ikhsan, Ahmad Nur Ilham Ahmad Ilham Ilham Iman, Imanuddin Imanuddin Imanuddin, Imanuddin Indonesia, Indonesia Indrayanti, Indrayanti Indriani, Nia Indrianto, Iin Inka Nusamuda Pratama Intan Permata Hati, Febriana Iqbal Iqbal iqbal salim Irani, Ade Yunita Isnaeny, Amira Iswavigra, Dwi Utari Izzuddin, Washif James, Ernny Jaya, Amir Juan, Ambrosius Juffrie, Muhammad Julia Julia Julianty Sidik Tjan Junaedi Muhidong Junaid, Asriani Jurianto Jurianto Kalangi, Hendry Kamaluddin Kamaluddin Karnay, Sudirman Kasmini, Nini Khotibul Umam Khotim, Khusnul Kumalasari, Iga Kunzita Lazuardi Kusnendi, Faizal Shofwan Latif, Nuraida Lena, Nur M Sabir, Fitriana M. Khusna Amal M. Rusydi Ahmad, M. Rusydi M. Yogi Riyantama Isjoni Mahmudah, Himmatunnisak Mahrus, Moh Mahsup, Mahsup Malikhah, Malikhah Mar'atullatifah, Yulaikha Mardainis Mar’atullatifah, Yulaikha Masrohatin, Siti Masrum, Ari Ardiansyah Mau, Muliadi Merdekawati, Eka Misbahuddin Misbahuddin Misno Misno, Misno Mochaimin, Moch Rofik Moh. Sahlan Mole, Martia Soa Muh. Jabir Muhajirin, Muhajirin Muhammad Ihlasul Amal Muhammad Ilyas Muhammad Luthfi MUHAMMAD RIZAL Muhibbin, Muhibbin Muhsin, Muh. Khusnun Muhsin, Muhammad Khusnun Murtadlo, Akhmad Murtafiah, Nurul Hidayati Musadiq, Ahmad Musliadi Musliadi Mustofa Mustofa Mutmainna, Mutmainna Muttaqin, Moch. Nurhidayatul nasir, khaidir rahman NATALIA KRISTIANI Nenny Sri Mulyani nuradi, nuradi Nurdin Nurdin Nurfadillah Nurfadillah Nurfianti, Fifi Nurhasanah Nurhasanah NURINDAH NURINDAH Nurnia, Nurnia Nursuriyawati, Nursuriyawati Nursusilowati, Indah Nurwanah, Nurwanah Pala, Nurul Parewe, Andi Maulidinnawati Abdul Kadir Parhan, Parhan Perdana, Ariful Ma'ruf Permata, Desy Helma Prafitralia, Anisah Pramukti, Andika Prasetyo, Deny Pratama, Dentia Hady Pratama, Ridho Pratma, Jordan Nusti Purba, Fransiska Natalia PURWANTI PURWANTI Puspasari, Novela Putri Putri, Rika Ilma Putri, Widhari Rachman, Muhammad Fathur Rafika Rafika Rahmad Hidayat Rahmatang, Rahmatang Rahmatullah Rahmatullah Ramadhani, Junaedi Muhidong Ramadhani, Misbahul Raohun, Siti Ratnasari Ratnasari Ratnawati Ratnawati Rd, Yogie Wijaya Renaldi, Vicky Rinaldi, Muh. Rismayani Rismayani Rizal H, Muhammad Rizal, Muh Rizki Handayani, Sri Rodliyah, St. Roziq, Fadlu RR. Ella Evrita Hestiandari Rusmana, Memet Sabri Hasan Safruddin Edi Wibowo Sagirah, Sitti Sahrul, Sahrul Salengke, Salengke Salinda, Salinda Salsabila Andini, Zhafira Samirin, Endang Tri Novianty Samiun, Samiun Saputra, Febri Hidayat Sari, Eka Dewi Lukmana Sari, Norma Atika Sasmita, Nita Selong, Abbas Serliana, Serliana setiawan, very dwi Siam, Siam Sidik Tjan, Julianty Sidiq, Sultan Muhamad Silfia, Wike Simatupang, Erna Wati Siswahyudianto Siti Patimah Sitinurmala, Sitinurmala Sitisaini, Sitisaini Sitti Nur Faridah Soebahar, Halim Solehun, Solehun Sonia Sonia, Sonia Su'un, Muh. Su'un, Muhammad Suartini, Suartini Subakri Subakri Suhartini, Lelly Sulehu, Marwa SULFIANA, SULFIANA Sulihing, Resky Nadila Sulistriani, Jenny Supratomo, Supratomo Supriatna, Mamat Suriyasti, Wahyu Suryadi Suryadi Suryani Wijaya, Ida Suyahman Suyahman Su’un, Muh. Syafira, Alda Syahrir, Sasmita Nabila Syamsiar, Syamsiar Syamsul Rijal Taiboko, Dhea Monica Tamra, Tamra Tanduklangi, Amri Tanduklangi, Amri Taufik Hidayat Taufikhidayat, Taufikhidayat Thioritz, Stevy Titis Sari Putri Tjiwanda, Antonius Agusto ulfa, mutia Useng, Daniel Usman, Ammar Fadil Utari Iswavigra, Dwi Uun Yusufa, Uun Veronica, Eva Wahyudi Yamin, Adam Wahyudi, R. Firdaus Wardani, Wa Ode Sitti Wicaksono, Ardy Wicaksono, Nicky Gilang Wijayanti, Nani Wilianti, Regina Wisda, Wisda Yasin, Yustih Yassir Yassir Yaumil Fachni Tandjungbulu Yudhi Lestanata Yulia Indrawati Yuliandri Putra, Teguh Yulianti Yulianti Yusran Yusran Yusuf, Andi M Zainuddin, Zainuddin Zairina, Nuren Zulfahmi MD, Sarwo Zulfian Armah