zulhipni reno saputra elsi

@um-palembang.ac.id

Teknologi Informasi Fakultas Teknik
Universitas Muahmmadiyah PAlembang

zulhipni reno saputra elsi


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5

Scopus Publications

316

Scholar Citations

9

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • Revolutionizing internet of things intrusion detection using machine learning with unidirectional, bidirectional, and packet features
    Zulhipni Reno Saputra Elsi, Deris Stiawan, Bhakti Yudho Suprapto, M. Agus Syamsul Arifin, Mohd. Yazid Idris, Rahmat Budiarto
    Iaes International Journal of Artificial Intelligence, 2025
    <span lang="EN-US">Detection of attacks on internet of things (IoT) networks is an important challenge that requires effective and efficient solutions. This study proposes the use of various machine learning (ML) techniques in classifying attacks using unidirectional, bidirectional, and packet features. The proposed methods that implement decision tree (DT), random forest (RF), extreme gradient boosting classifier (XGBC), AdaBoost (AB) and linear discriminant analysis (LDA) work perfectly with all kinds of datasets and includes. It also works very well with data type-based feature selection (DTBFS) and correlation-based feature selection (CBFS). The experiment results show a significant improvement compared to previous studies and reveals that unidirectional and bidirectional features provide higher accuracy compared to packet features. Furthermore, ML models, particularly DT, and RF, have faster computing times compared to more complex deep learning models. This analysis also shows potential overfitting in some models, which requires further validation with different datasets. Based on these findings, we recommend the use of RF and DT for scenarios with unidirectional and bidirectional features, while AB and LDA for packet features. The study concludes that using the right ML techniques along with features that work in both directions can make an intrusion detection system for IoT networks becomes very accurate.</span>
  • Enhanced Intrusion Detection in IoT Smart Homes: Leveraging Binary and Multi-Class Classification Models
    Zulhipni Reno Saputra Elsi, Deris Stiawan, Bhakti Yudho Suprapto, M. Agus Syamsul Arifin, Mohd. Yazid Idris, Rahmat Budiarto
    International Journal of Online and Biomedical Engineering, 2025
    This study uses the MQTT-IoT-IDS2020 dataset, which contains normal traffic and attack traffic such as scan_A, scan_sU, Sparta, and mqtt_bruteforce attacks. This dataset is statistically extracted based on the unidirectional-based features packet header flow feature and has 19 features. This study used 10 best algorithms, namely ADABOST, eXtreme gradient boosting classifier (XGBC), stochastic gradient descent classifier (SGDC), random forest (RF), Naïve Bayes (NB), multi-layer perceptron classifier (MLPC), decision tree (DT), logistic regression (LR), linear discriminant analysis (LDA), and K-Nearest Neighbor (KNN) using binary class and multi-class. Using this classification algorithm, researchers measure the value of accuracy, precision, recall, F1 score, classification time, and receiver operating characteristic (ROC) curve to obtain the best classification algorithm. Measurement of accuracy value is done by dividing the dataset into 80:20 for training data and testing data, then validating the measurement of accuracy value with k-fold.
  • Optimizing intrusion detection with data balancing and feature selection techniques
    Zulhipni Reno Saputra Elsi, Ahmad Affandi Supli, Jimmie Jimmie, Muhammad Ghozi Al-Faris, David Agustianto Rapel
    Sinergi Indonesia, 2025
    The rapid growth of IoT devices has brought significant security challenges, particularly in detecting various types of attacks within heterogeneous network environments. This study explores the effectiveness of data balancing techniques, including Random Undersampling (RUS), Cost-Sensitive Learning (CSL), Synthetic Minority Oversampling Technique (SMOTE), and Randomized Combination Sampling (RCS). Feature selection methods, namely correlation (threshold 0.8) and mutual information (top 15 features), were employed to optimize feature sets. The Decision Tree (DT) and Linear Discriminant Analysis (LDA) classifiers were used to evaluate the performance of balanced datasets. The evaluation metrics included accuracy, precision, recall, F1-score, G-mean, and ROC curves. The results revealed that SMOTE and RCS outperformed other balancing methods, with SMOTE achieving the highest accuracy (98.7%) and RCS demonstrating robust G-mean values across both feature selection techniques. DT consistently showed better performance compared to LDA across all metrics, while feature selection significantly improved the classification results, particularly under mutual information criteria. However, the analysis highlighted limitations of LDA in handling imbalanced datasets and high-dimensional features. This study concludes that a combination of advanced data balancing and effective feature selection significantly enhances the accuracy of intrusion detection in IoT networks. Future work will focus on integrating real-time detection systems and exploring hybrid models to further improve the detection of complex attacks in dynamic IoT environments.
  • Feature Selection using Chi Square to Improve Attack Detection Classification in IoT Network: Work in Progress
    Zulhipni Reno Saputra Elsi, Deris Stiawan, Ahmad Fali Oklilas, Susanto, Kurniabudi, Yesi Novaria Kunang, Mohd. Yazid Idris, Rahmat Budiarto
    International Conference on Electrical Engineering Computer Science and Informatics Eecsi, 2022
    To maintain network security, Intrusion Detection System (IDS) is needed to detect anomaly and attack. Designing proper IDS requires accurate model. This paper proposes a model, which consists of statistical extraction, feature selection, dataset clustering, classification, and performance measurement. Experiments on MQTT-IOT-IDS2020 dataset which contains Normal, scan_A, scan_sU, Sparta and mqtt_bruteforce are conducted. The dataset is statistically extracted using Bidirectional-based features packet header feature with 37 features. Chi square algorithm is selected for performing feature extraction process. 10 relevant and best features are selected and ranked into 5-subsets and 10-subset feature. Three dataset splitting into testing data and training data of 90%:10%, 70%:30% and 50%:50% are created. Binary classification using k-Nearest Neighbor (KNN) and Adaboost algorithms are performed. The experimental results show accuracy level above 99% for all scenarios, with Adaboost algorithm outperforms k-Nearest Neighbor algorithm.
  • Utilization of Data Mining Techniques in National Food Security during the Covid-19 Pandemic in Indonesia
    Zulhipni Reno Saputra Elsi, Heny Pratiwi, Yoyon Efendi, R Rusdina, Rina Alfah, Agus Perdana Windarto, Fana Wiza
    Journal of Physics Conference Series, 2020
    The aim of the research is to map clusters on Indonesia's national food security during the Covid-19 Pandemic Where food security is a condition for the fulfillment of food for the state up to individuals, which is reflected in the availability of sufficient food, both in quantity and quality, safe, diverse, nutritious, equitable, and affordable and does not conflict with the religion, beliefs and culture of the community, to be able to live a healthy, active, and productive life in a sustainable manner The data source used is secondary data from the Central Statistics Agency (abbreviated BPS) The data consists of monthly per capita expenditure in urban and rural areas by province and group of goods (rupiah) consisting of 33 data records (2011-2018) The group of goods used is expenditures used for food costs The data mining method used is k-medoids which are part of the clustering Cluster mapping uses 2 labels namely C1: labels with high food security and C2: labels with low food security The results of the k-medoids method calculation concluded that 19 provinces were in C1 cluster and 14 provinces were in C2 cluster From these results it is stated that 42% of Indonesia still has low food security as evidenced by the fulfillment of higher food needs than non-food These regions are West Sumatra, Riau, Bangka Belitung Islands, Riau islands, DKI Jakarta, West Java, Banten, Bali, Central Kalimantan, South Borneo, East Kalimantan, North Sulawesi, West Papua and Papua © Published under licence by IOP Publishing Ltd

RECENT SCHOLAR PUBLICATIONS

  • Systematic Literature Review Sistem Monitoring Kualitas Air pada Budidaya Ikan Berbasis Internet of Things (IoT)
    D Haryanto, ZRS Elsi, J Jimmei, M Ihsan
    Locus Journal of Academic Literature Review 5 (4), 390-400 , 2026
    2026
  • Implementasi Ensemble Weighted Voting Pada Arsitektur Densenet Mobilenet Xception Untuk Klasifikasi Penyakit Diabetic Retinopathy
    LI Kesuma, A Desiani, P Sari, ZR Saputra, M Ihsan, FN Muzayyadah
    IDEALIS: InDonEsiA journaL Information System 9 (1), 133-143 , 2026
    2026
  • Implementasi Sistem Informasi Manajemen Aset Inventaris Alat Kerja Karyawan Pustekinfo DPR RI Berbasis Web
    DA Rapel, ZR Saputra, LI Kusuma
    Infotek: Jurnal Informatika dan Teknologi 9 (1), 251-260 , 2026
    2026
  • SISTEM PEMESANAN TRAVEL ANTAR KOTA:(Sungsang–Palembang) pada Terminal Haji Rohman Berbasis Website
    O Prandi, J Jimmie, ZRS Elsi
    Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan 5 (2 … , 2026
    2026
  • Perancangan Lampu Menggunakan Konsep Internet of Thing (IoT) Berbasis Microcontroller
    CD Maharani, J Jimmie, ZRS Elsi
    Jurnal Ilmiah Sistem Informasi 5 (1), 51-61 , 2026
    2026
  • Detection and Analysis of Packet Sniffing Attacks Using Wireshark on Wifi Networks: a Practical Approach to Network Security Case Study of Puskesmas Sungsang
    MH Alfarizi, ZRS Elsi
    Jurnal Teknologi dan Open Source 8 (2), 1084-1090 , 2025
    2025
  • A Website-Based Digital Cashier System for Bakery Shops with Real-Time Transaction and Reporting Features
    PA Hidayah, M Ihsan, ZRS Elsi
    Jurnal Teknologi dan Open Source 8 (2), 1136-1143 , 2025
    2025
  • Sistem Informasi Pemesanan Paket Wisata Travel Berbasis Web Di Kota Palembang Studi kasus: Nusa Indah Travel Palembang
    P Dwi, K Karnadi, ZRS Elsi
    Jurnal Media Informatika 6 (6), 3006-3016 , 2025
    2025
  • Analysis of the UI/UX of the Skylar Topup Website Information System Using the Usability Scale (SUS) System Method
    PK Ronaldo Julian, ZRSE Karnadi
    Jurnal Teknologi dan Open Source 8 (2), 1173-1178 , 2025
    2025
  • Evaluation of Advantages and Disadvantages of Village Information Systems in Supporting Sustainable Development Programs
    AP Marsyadi, M Ihsan, ZR Saputra
    Jurnal Teknologi dan Open Source 8 (2), 864-874 , 2025
    2025
  • Monitoring Arus Listrik pada Lampu Berbasis Internet of Things Menggunakan Aplikasi Blynk
    VRP Safira, ZRS Elsi, D Haryanto
    SENTRI: Jurnal Riset Ilmiah 4 (11), 3145-3151 , 2025
    2025
  • Pembangunan Website Company Profile Sebagai Media Promosi Digital Pada Pt. Mitra Makmur Global
    FL Juliansyah, ZRS Elsi, K Karnadi
    SENTRI: Jurnal Riset Ilmiah 4 (11), 3132-3144 , 2025
    2025
  • Revolutionizing internet of things intrusion detection using machine learning with unidirectional, bidirectional, and packet features
    RB Zulhipni Reno Saputra Elsi, Deris Stiawan, Bhakti Yudho Suprapto, M. Agus ...
    IAES International Journal of Artificial Intelligence (IJ-AI) 14 (4), 3047-3062 , 2025
    2025
  • Enhanced Intrusion Detection in IoT Smart Homes: Leveraging Binary and Multi-Class Classification Models.
    ZR Saputra Elsi, D Stiawan, BY Suprapto, MA Syamsul Arifin, ...
    International Journal of Online & Biomedical Engineering 21 (5) , 2025
    2025
    Citations: 1
  • Assessment of Plant Growth in Aeroponic Systems Integrated with Smart Farming Compared to Conventional Methods
    M Ihsan, ZRS Elsi
    JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) 8 (1), 40-52 , 2025
    2025
    Citations: 3
  • Rancang Bangun Sistem Informasi Pemesanan Tiket Travel Berbasis Web Pada Po Batang Hari Wisata (Studi Kasus: Po Batang Hari Wisata)
    A Wijaya, ZRS Elsi
    Jurnal Cakrawala Akademika 1 (5), 1697-1709 , 2025
    2025
    Citations: 4
  • Sistem Informasi Penjualan Kebaya Pada Butik Purwaningsih Berbasis Web di kota Palembang
    D caressa Adio, ZRS Elsi
    TEKNIKA 19 (2), 385-394 , 2025
    2025
    Citations: 1
  • Optimizing intrusion detection with data balancing and feature selection techniques
    DAR Zulhipni Reno Saputra Elsi, Ahmad Affandi Supli, Jimmie Jimmie, Muhammad ...
    SINERGI 29 (2025), 779-792 , 2025
    2025
  • Smart light berbasis IoT dengan menggunakan Bylnk
    SH Dwitama, ZR Elsi
    Jusikom: Jurnal Sistem Komputer Musirawas 9 (2), 167-177 , 2024
    2024
  • Air Quality Monitoring System Based Internet Of Things
    ZRS Elsi
    Brilliance: Research of Artificial Intelligence 4 (2), 669-673 , 2024
    2024
    Citations: 9

MOST CITED SCHOLAR PUBLICATIONS

  • Utilization of data mining techniques in national food security during the Covid-19 pandemic in Indonesia
    ZRS Elsi, H Pratiwi, Y Efendi, R Rusdina, R Alfah, AP Windarto, F Wiza
    Journal of Physics: Conference Series 1594 (1), 012007 , 2020
    2020
    Citations: 54
  • New Student Admissions Information System With Client Server Based Sms Gateway
    ZRS Elsi, G Rohana, V Nuranjani
    JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) 6 (2), 159-166 , 2021
    2021
    Citations: 34
  • PERANCANGAN APLIKASI PENGOLAHAN DATA OBAT BERBASIS MYSQL DENGAN CLIENT SERVER
    ZR saputra Elsi
    Jurnal Digital Teknologi Informasi 2 (1), 43-50 , 2019
    2019
    Citations: 29
  • RANCANG BANGUN ABSENSI PERKULIHAN DENGAN FINGERPRINT BERBASIS WEBBASE
    ZRS Elsi, Jimmie
    Jusikom: Jurnal Sistem Komputer Musirawas 5 (1), 24-32 , 2020
    2020
    Citations: 22
  • Analisis Performance Progressive Web Apps Pada Aplikasi Shopee
    D Haryanto, ZRS Elsi
    Jurnal Ilmiah Informatika Global 12 (2) , 2021
    2021
    Citations: 19
  • Perancangan Perangkat Lunak Sistem Pemesanan Pada Pelangi Cake
    D Haryanto, ZRS Elsi
    JUTIM (Jurnal Teknik Informatika Musirawas) 6 (1), 51-60 , 2021
    2021
    Citations: 13
  • Simulator Penghitung Jumlah Kendaraan Pada Pintu Masuk Dan Keluar Berbasis Arduino
    ZRS Elsi
    Jurnal Sistem Komputer 2 (2), 98-104 , 2017
    2017
    Citations: 11
  • Perancangan Smart Home berbasis Arduino
    ZR Saputra
    Amik Sigma Palembang , 2016
    2016
    Citations: 10
  • Air Quality Monitoring System Based Internet Of Things
    ZRS Elsi
    Brilliance: Research of Artificial Intelligence 4 (2), 669-673 , 2024
    2024
    Citations: 9
  • Sistem Informasi Desa Delta Upang Berbasis Web
    JM Saintek, YC Pratama, ZR Saputra
    J. Sains dan Teknol 2 (12), 86-96 , 2024
    2024
    Citations: 9
  • PERANCANGAN FTP SERVER DALAM PENGUMPULAN ADMINISTRASI KELAS PADA SD NEGERI 133 PALEMBANG
    ZRS Elsi
    Jurnal Sigmata 6 (2), 45-52 , 2018
    2018
    Citations: 9
  • PERANCANGAN SISTEM BILLING PLAYSTATION BERBASIS ARDUINO-BASED PLAYSTATION BILLING SYSTEM DESIGN
    ZR Saputra, T Ismail, H Pratama
    Jusikom: Jurnal Sistem Komputer Musirawas 4 (02), 59-64 , 2019
    2019
    Citations: 8
  • Penerapan Protokol RTMP Dan HTTP Untuk Media Belajar Jarak Jauh Pada Amik Sigma
    ZR Saputra
    Jurnal Teknologi Informasi MURA 9 (ISSN No: 2085-6156 Volume 9 Nomor), 23-29 … , 2017
    2017
    Citations: 7
  • Perancangan Monitoring Suhu Ruangan Menggunakan Arduino Berbasis Android Di PT. Tunggal Idaman Abdi Cabang Palembang
    ZRS Els
    Jurnal Teknologi Informasi MURA 8 (2) , 2016
    2016
    Citations: 7
  • Rancang Bangun Buka Tutup Pintu Otomatis Dengan Interfacing Berbasis Android
    ZR Saputra
    Jurnal Teknologi Informasi MURA 8 (1) , 2016
    2016
    Citations: 7
  • Perancangan Jaringan Komputer Berbasi Lan Di Ruang Lab Sma Muhammadiyah 1 Muara Padang
    D Haryanto, ZRS Elsi
    Jurnal Digital Teknologi Informasi 4 (1), 27-31 , 2021
    2021
    Citations: 6
  • Feature selection using chi square to improve attack detection classification in IoT network: Work in progress
    ZRS Elsi, D Stiawan, AF Oklilas, YN Kunang, MY Idris, R Budiarto
    2022 9th International Conference on Electrical Engineering, Computer … , 2022
    2022
    Citations: 5
  • Perancangan sistem informasi berbasis web Pada Rumah Sakit Muhammadiyah Palembang
    M Ihsan, ZR Saputra
    JUPITER: Jurnal Penelitian Ilmu dan Teknologi Komputer 14 (2-c), 560-568 , 2022
    2022
    Citations: 5
  • Rancang Bangun Sistem Informasi Pemesanan Tiket Travel Berbasis Web Pada Po Batang Hari Wisata (Studi Kasus: Po Batang Hari Wisata)
    A Wijaya, ZRS Elsi
    Jurnal Cakrawala Akademika 1 (5), 1697-1709 , 2025
    2025
    Citations: 4
  • Perancangan Alat Deteksi Suhu Tubuh Dengan Sensor Contactless Berbasis Arduino Uno
    ZR saputra Elsi, D Haryanto, S Primaini, H Hartini
    Jusikom: Jurnal Sistem Komputer Musirawas 6 (1), 50-59 , 2021
    2021
    Citations: 4