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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Teknika Jupiter Sinergi JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jusikom : Jurnal Sistem Komputer Musirawas Communications in Science and Technology Dinamisia: Jurnal Pengabdian Kepada Masyarakat ILKOM Jurnal Ilmiah JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA Krea-TIF: Jurnal Teknik Informatika JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Informatika Global Progresif: Jurnal Ilmiah Komputer Jurnal Digital Teknologi Informasi Infotek : Jurnal Informatika dan Teknologi Idealis : Indonesia Journal Information System KLIK: Kajian Ilmiah Informatika dan Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Locus Journal of Academic Literature Review SENTRI: Jurnal Riset Ilmiah Digital Transformation Technology (Digitech) International Journal Cister Jurnal Teknologi Informasi Mura Kohesi: Jurnal Sains dan Teknologi Journal of Authentic Research INOVTEK Polbeng - Seri Informatika Jurnal Cakrawala Akademika
Zulhipni Reno Saputra Elsi
Universitas Muhammadiyah Palembang
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Air Quality Monitoring System Based Internet Of Things arkhan, muhammad ghozi; Elsi, Zulhipni Reno Saputra
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4924

Abstract

This research aims to develop an Internet of Things (IoT)-based air quality monitoring system using the ESP8266 module along with DHT11 and MQ135 sensors. The system is designed to monitor temperature, humidity, and the concentration of harmful gases in the air, with real-time results accessible through the Blynk application on Android devices. The DHT11 sensor measures temperature and humidity, while the MQ135 sensor detects air quality based on concentrations of harmful gases such as carbon dioxide (CO2) and ammonia. Data from these sensors is transmitted to an IoT platform for real-time display. The research methodology follows a prototype model, starting with planning, system modeling, hardware development, and finally, system testing. During testing, the DHT11 and MQ135 sensors demonstrated accuracy in measuring temperature, humidity, and pollutant levels. Results show that the system functions as expected, with sensors responsive to environmental changes such as increases in temperature or pollutant levels. Additionally, the Blynk platform allows users to monitor air quality remotely and receive notifications if air quality reaches hazardous levels. This system is expected to be applicable in environments that require continuous air quality monitoring, such as hospitals, offices, or other enclosed spaces. The study’s findings indicate that this IoT-based air quality monitoring system effectively detects rapid changes in air quality, contributing to environmental health efforts and raising public awareness about the importance of clean air.
Rancang Bangun Sistem Informasi Pemesanan Tiket Travel Berbasis Web Pada Po Batang Hari Wisata (Studi Kasus : Po Batang Hari Wisata) Akbar Wijaya; Zulhipni Reno Saputra Elsi
Jurnal Cakrawala Akademika Vol. 1 No. 5 (2025): Edisi Februari
Publisher : PT. Pustaka Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70182/JCA.v1i5.16

Abstract

Konsumen sulit mendapatkan informasi reservasi tiket Travel Batang Hari Wisata (BHW) serta kurang efisiennya dalam waktu dan biaya karena konsumen harus datang langsung ke PO.BHW. Web adalah salah satu layanan yang didapat oleh pemakai komputer yang terhubung ke internet. web ini menyediakan informasi bagi pemakai komputer yang terhubung ke internet website atau situs dapat diartikan sebagai kumpulan halaman-halaman yang digunakan untuk menampilkan informasi teks, gambar diam atau gerak, animasi, suara, dan atau gabungan dari semuanya itu baik yang bersifat statis maupun dinamis yang membentuk satu rangkaian bangunan yang saling terkait dimana masing-masing dihubungkan dengan jaringan internet. Manfaat  menggunakan internet dapat mempromosikan keberadaan nama instansi/perusahaan kepada masyarakat dunia umumnya serta masyarakat Indonesia khususnya yang mengakses internet. Untuk meningkatkan kualitas pemesanan yang tadinya manual menjadi lebih efektif dalam pencarian informasi untuk melakukan reservasi tiket di po.batang hari wisata (BHW), aplikasi ini dibuat dengan tujuan mempermudah konsumen dalam menghemat waktu maupun biaya.
Assessment of Plant Growth in Aeroponic Systems Integrated with Smart Farming Compared to Conventional Methods Ihsan, Muhammad; Elsi, Zulhipni Reno Saputra
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 8 No. 1 (2025): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v8i1.7033

Abstract

The increasing demand for sustainable agriculture in Indonesia and challenges like land scarcity and inefficient resource use have driven interest in innovative farming technologies. This study investigates the comparative effectiveness of an innovative farming-based aeroponic system versus a conventional soil-based system in cultivating green chili. A quantitative experimental design was employed, using IoT-integrated sensors in the aeroponic setup to monitor and control environmental parameters, while the conventional system relied on manual practices. Key growth indicators, including plant height, number of leaves, and wet and dry weight, were measured over a 30-day day. Statistical analysis revealed that the aeroponic system significantly outperformed the conventional system across all parameters (p < 0.05), with dry weight showing the most substantial improvement. These findings underscore the potential of smart aeroponics in enhancing crop productivity and resource efficiency. However, cost, energy dependency, and scalability considerations must be addressed to enable broader adoption. The study contributes to the growing body of evidence supporting precision agriculture as a viable strategy for sustainable food production.
Air Quality Monitoring System Based Internet Of Things arkhan, muhammad ghozi; Elsi, Zulhipni Reno Saputra
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4924

Abstract

This research aims to develop an Internet of Things (IoT)-based air quality monitoring system using the ESP8266 module along with DHT11 and MQ135 sensors. The system is designed to monitor temperature, humidity, and the concentration of harmful gases in the air, with real-time results accessible through the Blynk application on Android devices. The DHT11 sensor measures temperature and humidity, while the MQ135 sensor detects air quality based on concentrations of harmful gases such as carbon dioxide (CO2) and ammonia. Data from these sensors is transmitted to an IoT platform for real-time display. The research methodology follows a prototype model, starting with planning, system modeling, hardware development, and finally, system testing. During testing, the DHT11 and MQ135 sensors demonstrated accuracy in measuring temperature, humidity, and pollutant levels. Results show that the system functions as expected, with sensors responsive to environmental changes such as increases in temperature or pollutant levels. Additionally, the Blynk platform allows users to monitor air quality remotely and receive notifications if air quality reaches hazardous levels. This system is expected to be applicable in environments that require continuous air quality monitoring, such as hospitals, offices, or other enclosed spaces. The study’s findings indicate that this IoT-based air quality monitoring system effectively detects rapid changes in air quality, contributing to environmental health efforts and raising public awareness about the importance of clean air.
Revolutionizing internet of things intrusion detection using machine learning with unidirectional, bidirectional, and packet features Elsi, Zulhipni Reno Saputra; Stiawan, Deris; Yudho Suprapto, Bhakti; Syamsul Arifin, M. Agus; Yazid Idris, Mohd.; Budiarto, Rahmat
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.pp3047-3062

Abstract

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.
Optimizing intrusion detection with data balancing and feature selection techniques Elsi, Zulhipni Reno Saputra; Supli, Ahmad Affandi; Jimmie, Jimmie; Al-Faris, Muhammad Ghozi; Rapel, David Agustianto
SINERGI Vol 29, No 3 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.3.019

Abstract

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. 
Improving the Quality of Teaching and Learning Activities using Information Technology at Orange Islamic School Palembang, South Sumatra: Peningktan Kualitas Kegiatan Belajar Mengajar menggunakan Teknologi Informasi di Orange Islamic School Palembang Sumatera Selatan Zulhipni Reno Saputra Elsi; Meli Astriani; Randy Hidayat; Moehammad Irfansyah; David Agustianto Rapel
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 3 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i3.16041

Abstract

Education is an important factor in community development. In the current digital era, the use of information technology in teaching and learning activities is the key to increasing the effectiveness and efficiency of the learning process. In this PkM, we aim to improve the quality of teaching and learning activities using information technology at Orange Islamic School in Palembang, South Sumatra. Our PkM implementation methods include introducing and applying technological information in the learning process, training teachers to use technological information, and involving parents in education. We also collect data to disseminate the impact of using information technology in teaching and learning activities. The results of this PkM show that the use of information technology at Orange Islamic School has succeeded in improving the quality of teaching and learning activities. Teachers can deliver learning material in a more interesting and interactive way, thereby increasing student participation and understanding. The use of information technology in teaching and learning activities at Orange Islamic School has made a significant contribution to improving the quality of education.
Implementasi Sistem Informasi Webshop Menggunakan Codeigneter 3 (Studi Kasus Yhoophii Shop Palembang) Nabilah, Rihhadatul; Perdana, Meilyana Winda; Elsi, Zulhipni Reno Saputra
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.3268

Abstract

Pada masa saat ini sistem sangat banyak digunakan di kalangan manusia untuk interaksi teknologi informasi yang sangat cepat berkembang, mulai dari penggunaan teknologi untuk pendidikan, bisnis, maupun geografis. Webshop saat ini banyak digunakan untuk melakukan pemesanan secara online tanpa harus datang ke tempat yang berbasis web. Penelitian ini dilakukan di salah satu toko online yang ada di Palembang untuk memenuhi kebutuhan digitalisasi. Metode yang digunakan pada perancangan  maupun pengembangan yaitu metode waterfall, dengan sistem ini peneliti berharap bisa memenuhi kebutuhan digunakan dalam pemesanan online yang memudahkan pemesan untuk diera di mana kebutuhan serba online. Berdasarkan hasil penelitian pada toko Yhoophii Shop dalam proses pemesanan dan penjualan masih bersifat pasif sebatas melakukan penjualan di toko serta bersifat verbal dengan menawarkan produk dari mulut kemulut dan belum menggunakan teknologi yang berbentuk website. Dengan adanya website yhoophii shop ini dapat membantu toko dalam meningkatkan pemasaran produk dan toko dapat dikenal oleh masyarakat luas.
Pembangunan Website Company Profile Sebagai Media Promosi Digital Pada Pt. Mitra Makmur Global Juliansyah, Ferro Luis; Elsi, Zulhipni Reno Saputra; Karnadi, Karnadi
SENTRI: Jurnal Riset Ilmiah Vol. 4 No. 11 (2025): SENTRI : Jurnal Riset Ilmiah, November 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v4i11.4887

Abstract

The development of information technology has driven major changes in corporate promotion and communication strategies, one of which is through the use of company profile websites. This study aims to design and implement a web-based company profile website for PT Mitra Makmur Global; a company engaged in the heavy equipment rental sector. The research method used is a qualitative method with a Waterfall system development model, which includes the stages of needs analysis, system design, implementation, testing, and maintenance. The website is designed to provide information about the company profile, vision and mission, services, and contacts in an interactive and easily accessible manner. The implementation results show that the company profile website is able to improve the company's professional image, expand the reach of promotions, and make it easier for potential clients to obtain information related to the company's services. In addition, the implementation of a responsive interface design and structured navigation makes users feel more comfortable in navigating the site. In conclusion, the development of the PT Mitra Makmur Global company profile website plays a significant role in strengthening the company's digital presence, increasing customer trust, and becoming an effective promotional tool in the digital era.
Monitoring Arus Listrik pada Lampu Berbasis Internet of Things Menggunakan Aplikasi Blynk Safira, Vindy Rizky Putri; Elsi, Zulhipni Reno Saputra; Haryanto, Dedi
SENTRI: Jurnal Riset Ilmiah Vol. 4 No. 11 (2025): SENTRI : Jurnal Riset Ilmiah, November 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v4i11.4906

Abstract

Electrical energy efficiency is an essential requirement in supporting environmental sustainability. Lamps, as one of the most frequently used electrical devices, contribute significantly to energy consumption in both households and industries. This study aims to design an Internet of Things (IoT)-based current monitoring system for lamps using the Blynk application. The system is built using a NodeMCU ESP8266 as the main controller and a PZEM-004T sensor as a measuring tool for voltage, current, power, and energy. The test results show that the system can operate in real time to monitor electrical parameters and display data through the Blynk application on a smartphone. The measurement accuracy reaches ±3.8%, with influencing factors including voltage stability and internet connection quality. This system has proven effective as an electrical energy monitoring solution that supports energy conservation and electrical safety.
Co-Authors Aan Ripangga Adi Saputra Adio, Dela caressa Agustanti, Sri Primaini Akbar Wijaya Al Amalul Khoir Al-Faris, Muhammad Ghozi Alamsyah, Dedy Andrean Hendri Andriani, Dhira Afiffah Anita Desiani Apriansyah Apriansyah Apriansyah, Apriansyah Arka Dafa Haqiki arkhan, muhammad ghozi Ayundha Lathary Bunga Intan Dafa Haqiki, Arka David Agustianto Rapel David Agustianto Rapel Dedi Haryanto Dedi Haryanto Dedi Haryanto Dedi Haryanto Deris Stiawan Des Alwine Zayanti Fajrie Agus Dwino Putra Fathona Nur Muzayyadah Fatma Susilawati Mohamad Gita Rohana Hartini Hartini Hartini Hartini Hartini Hartini Hartini Hartini Hendra Pratama M Hendri Maulana M Herri Setiawan Hidayat, KMS. M. Wahyu Jimmei Jimmei Jimmei, Jimmei Jimmie Jimmie Jimmie Jimmie Jimmie, Jimmie Juliansyah, Ferro Luis Jusmawati Jusmawati, Jusmawati Karnadi, Karnadi Kemas Muhammad Wahyu Hidayat Kusuma, Winanto Aji Lingga Wijaya, Harma Oktafia Lucky Indra Kesuma Lucky Indra Kusuma Luh Putu Ratna Sundari Lukman Sunardi M. Ikhsan Meilyana Winda Perdana Meli Astriani Meliana Winda Perdana Moehammad Irfansyah Muhammad Ihsan Muhammad Ihsan Muhammad Ihsan Nabilah, Rihhadatul Nurhayati Nurhayati Oji Prandi Oktariani, Nandita Perdana, Meilyana Winda Primaini, Sri Probo Sukadi Sumarno Purwita Sari Putra, Fajrie Agus Dwino Rahmat Budiarto Randy Hidayat Rapel, David Agustianto Rihhadatul Nabilah Riski Riski Rudi Kurniawan Safira, Vindy Rizky Putri Saputra, Pirman Sari, Nurlayli Indah Solekhan, Ahmad Sri Primaini Sri Primaini Sri Primaini Sri Primaini Sri Primaini Agustanti Supli, Ahmad Affandi Syamsul Arifin, M. Agus Toni Ismail Tri Hasanah Bimastari Aviani Vera Nuranjani Widyastuti, Mia Aulia Yazid Idris, Mohd. Yogi Candra Pratama Yudho Suprapto, Bhakti