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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknologi Informasi dan Komunikasi JTERA (Jurnal Teknologi Rekayasa) JURNAL REKAYASA TEKNOLOGI INFORMASI JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) ILKOM Jurnal Ilmiah METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Manajemen Bisnis Krisnadwipayana EXPLORE Jurnal Mantik Jurnal Sistem Informasi dan Sains Teknologi Journal of Information Technology and Its Utilization Unram Journal of Community Service (UJCS) Journal of Computer Science and Informatics Engineering Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) EXPLORE Jurnal Bangun Abdimas Jurnal Teknik Informatika dan Teknologi Informasi Formosa Journal of Computer and Information Science Jurnal Ilmiah Pengabdian dan Inovasi Jurnal Publikasi Teknik Informatika (JUPTI) Journal Of Computer Science And Technology Semar : Jurnal Sosial dan Pengabdian Masyarakat Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Penelitian Teknologi Informasi dan Sains Journal of Computer Science and Information Technology Jurnal Kecerdasan Buatan dan Teknologi Informasi Journal of Data Analytics, Information, and Computer Science (JDAICS) Explore Jurnal Karya untuk Masyarakat (JKuM) E-Amal: Jurnal Pengabdian Kepada Masyarakat Green Engineering: Journal of Engineering and Applied Science Journal of Information Technology and its Utilization
Lalu Delsi Samsumar, M.Eng.
Universitas Teknologi Mataram
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 Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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IoT Innovation and Entrepreneurship Education: Sustainable Tilapia Cultivation Optimization Strategy Samsumar, Lalu Delsi; Kembang, Lale Puspita; Akbar, Ardiyallah; Sriasih, Sriasih; Zaenudin, Zaenudin; Kalbuadi, Amiruddin
Unram Journal of Community Service Vol. 5 No. 4 (2024): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i4.781

Abstract

Tilapia cultivation in Teratak Village, Central Lombok, faces problems in feed efficiency and limited market access. Lack of automation technology causes feed waste, while limited marketing knowledge limits farmers' competitiveness. This community service activity aims to overcome these problems through the application of Internet of Things (IoT) technology in the form of automatic feeders (smart feeders) and entrepreneurship training focused on digital marketing. The methods applied include the manufacture and installation of smart fish feeders that are controlled via an application to regulate the amount and frequency of feed. In addition, entrepreneurship training focuses on digital marketing strategies through social media and e-commerce platforms to expand market reach. The results of the activity show that smart feeders increase feed efficiency by up to 20%, reduce waste, and support more optimal fish growth. Digital marketing training helps farmers improve their online promotion skills, expand market networks, and significantly increase sales. In conclusion, the application of IoT technology and digital marketing-based entrepreneurship training has proven effective in increasing the efficiency of cultivation and market competitiveness of tilapia farmers in Teratak Village
RANCANG BANGUN PROTOTYPE SISTEM PENDETEKSI GEMPA BERBASIS IOT MENGGUNAKAN NOTIFIKASI TELEGRAM Rini Pratiwi Lalu Delsi Samsumar Zaenudin Ardiyallah Akbar, Rini Pratiwi Lalu Delsi Samsumar Zaenudi
Journal of Computer Science and Information Technology Vol. 1 No. 4 (2024): September
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jcsit.v1i4.1269

Abstract

Gempa bumi merupakan bencana alam yang sering terjadi di Indonesia karena letak geografisnya yang berada di daerah pertemuan lempeng tektonik. Tujuan penelitian Untuk mengasilkan rancang bangun prototype sistem informasi pendeteksi gempa berbasis Internet of things menggunakan notifikasi telegram. Pada penelitian ini, pendekatan yang di gunakan adalah metode prototype. metode ini melibatkan pembuatan model atau prototype sederhana yang menggambarkan fitur dan fungsi utama dari sistem yang sedang dikembangkan. Metodologi pembuatan prototype adalah pendekatan dalam pengembangan sistem yang bertujuan untuk menciptakan sebuah sistem yang dapat digunakan untuk menguji dan menyempurnakan sistem yang di hasilkan. Hasil dari penelitian ini adalah sistem pendeteksi gempa berbasis IoT menggunakan sensor SW420 dan Buzzer berserta LED digunakan sebagai tanda peringatan bahaya terjadinya gempa dengan notifikasi telegram adalah sebuah alat yang di rancang untuk dapat mendeteksi adanya guncangan atau getaran yang di sebabkan oleh gempa bumi. Sistem ini terdiri dari beberapa komponen utama, yaitu ESP32 yang berfungsi untuk mengolah data output dari sensor yang digunakan.
ANALISIS KEAMANAN JARINGAN WIRELESS PADA SMK ISLAM MANBA’UL ULUM MENGGUNAKAN PENDEKATAN PENETRATION TESTING Sari, Ika Mayang; Samsumar, Lalu Delsi; Zulpahmi, M.
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 3 No. 2 (2025): November
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jrsit.v3i2.3068

Abstract

Perkembangan teknologi informasi mendorong pemanfaatan jaringan nirkabel dalam kegiatan pendidikan. Penelitian ini bertujuan menganalisis keamanan jaringan wireless di SMK Islam Manba’ul Ulum yang menggunakan protokol WPA2. Metode yang digunakan adalah penetration testing berbasis Kali Linux melalui simulasi serangan Handshake Capture dan WPA2 Cracking untuk menguji autentikasi, Deauthentication Attack untuk menguji kestabilan koneksi, serta Man-in-the-Middle (MiTM) Attack untuk menguji kerahasiaan data, dengan bantuan tools Aircrack-ng, Aireplay-ng, Airodump-ng, Bettercap, dan Wireshark. Hasil penelitian menunjukkan seluruh simulasi serangan berhasil dilakukan, meliputi peretasan kata sandi Wi-Fi, pemutusan koneksi pengguna, dan penyadapan data komunikasi, sehingga membuktikan jaringan masih rentan terhadap ancaman keamanan.
Implementation of Smart Feeder Based on Internet of Things (IoT) for Fish Aquarium Misniati, Misniati; Delsi Samsumar, Lalu; Zaenudin, Zaenudin
Journal of Computer Science and Informatics Engineering Vol 5 No 1 (2026): January
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i1.1292

Abstract

Household aquarium maintenance is generally performed manually, including feeding, monitoring temperature and turbidity, and water replacement, which is time-consuming and may reduce water quality, leading to stress or fish mortality. Although Internet of Things (IoT) technology has developed, its application in household aquariums remains limited. This study designed and implemented an IoT-based smart feeder with automatic feeding, water quality monitoring, and automatic water replacement using ESP32, DS18B20 temperature sensor, turbidity sensor, ultrasonic sensor, RTC, servo motor, water pump, and the Blynk application, applying a prototyping method. Tests showed the DS18B20 sensor had an average error of ±1.55% with 98.45% accuracy and ±1.5 s response time; the turbidity sensor distinguished clear and turbid conditions with 99% accuracy and ±2 s response; the ultrasonic sensor reached 92%; feed distribution achieved 98.6% with 1.2 s servo response; and water replacement achieved 66.7%–90% depending on turbidity threshold, with Blynk latency <2 s. Overall, the system achieved an average success rate of 91.5%, reducing manual workload, maintaining optimal water quality, and improving user convenience, while providing opportunities for further IoTbased aquarium automation development at the household scale
Design of Sustainable Smart Water Distribution Systems with Machine Learning-Based Leak Detection and Pressure Control to Conserve Water Resources Lalu Delsi Samsumar; Zaenudin Zaenudin; Supardianto Supardianto; Bahtiar Imran
Green Engineering: International Journal of Engineering and Applied Science Vol. 1 No. 4 (2024): October: Green Engineering: International Journal of Engineering and Applied Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v1i4.248

Abstract

The global clean water crisis is exacerbated by significant losses in water distribution networks (WDNs), resulting in inefficient use of both water and energy resources. Traditional methods of leak detection and pressure management often fail to address these inefficiencies, leading to substantial water wastage and high operational costs. This research aims to design a sustainable, smart water distribution system using advanced technologies such as Machine Learning (ML) for leak detection and automated pressure control. The system employs real-time monitoring through IoT sensors, which continuously gather data on water pressure, flow rates, and other critical parameters. This data is analyzed using various ML algorithms, including supervised and unsupervised learning models, to detect anomalies indicative of leaks. Additionally, the system integrates automated pressure control mechanisms that dynamically adjust pressure to prevent over-pressurization, reducing both water loss and energy consumption. By combining leak detection and pressure control, the proposed system offers a more efficient, sustainable solution to water resource management compared to traditional methods. The expected outcomes include a significant reduction in water loss, enhanced energy efficiency, and improved water service quality. However, the implementation of such a system in rural or small-town infrastructure faces challenges, including sensor maintenance, algorithm reliability, and regulatory issues. A cost-benefit analysis suggests that while the initial investment in smart technologies may be high, the long-term savings in water and energy costs outweigh these costs. This study underscores the potential of ML-based systems in enhancing water conservation, operational efficiency, and sustainability in water management.
ANALISIS KUALITAS LAYANAN PENYIMPANAN CLOUD PADA NEXTCLOUD DAN PYDIO Lalu Delsi Samsumar; Beni Ari Hidayatulloh; Zaenudin Zaenudin; Putri Novia Dyah Pitaloca
Journal of Information Technology and Its Utilization Vol 6 No 1 (2023): June 2023
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.6.1.5015

Abstract

The development of information technology has greatly influenced the development of current storage media, such as cloud-based storage (cloud). Nextcloud and pydio storage are part of an open based cloud computing system. Measuring service quality can be seen from the aspects of throughput, delay, jitter, and packet loss. This research was conducted to compare the upload and download speeds between the nextcloud server and the pydio server. Of the two cloud storage servers, five trial upload and download respectively. Based on the test results showing that the upload and download processes produce final cloud storage data which has the highest average throughput in terms of uploading files of different types and capacities, the next cloud server is 1,934.6 kbps. The cloud storage that has the lowest average packet loss value is balanced, because the two cloud storages get the same packet loss value of 0%. The cloud storage that has the lowest average file upload delay is the nextcloud server at 222,585 ms. The cloud storage that gets the lowest jitter value is the pydio server of 160.56 ms. Meanwhile, for downloading cloud storage files that have the highest average throughput value, nextcloud server is 1,332 kbps. The cloud storage that has the lowest average packet loss value is balanced, because the two cloud storages get the same packet loss value of 0%. The cloud storage that has the lowest average download delay is the nextcloud server at 132,057 ms, while the cloud storage that has the lowest jitter is the nextcloud server at 132,139 ms.
Expert System for Pest Diagnosis on Local Black Rice Plant in East Kalimantan Using the Naive Bayes Method Novianti Puspitasari; Anindita Septirini; Rian Bintang Paripurna; Lalu Delsi Samsumar
Journal of Information Technology and Its Utilization Vol 6 No 2 (2023): December 2023
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.6.2.5271

Abstract

Rice plant is a food crop that produces rice as the staple food for the majority of Indonesian people. Local rice which significantly contributes to fulfill the national rice consumption is black rice produced in East Kalimantan. However, local black rice often experiences crop failure due to pest attacks and environmental factors. The amount of local black rice production also continues to decrease due to limited human resources who have the skills and knowledge to diagnose pests in black rice plants. Therefore, one effort that can be made to overcome this problem is to create an expert system that can diagnose pests and diseases in black rice plants. The expert system in this research uses the Naive Bayes method, which identifies 11 types of pests that attack black rice plants and 34 symptoms caused by these pest attacks. Naive Bayes can provide information about the percentage of pests that rice plants might experience. Based on the results of the test cases, an accuracy value of80% was obtained, so the expert system built in this research can diagnose pests on black rice plants quite well.
Co-Authors Ahmad Khairul Anam Ahmad Subki Aini Husnida Wulandari Akbar , Ardiyallah Akbar, Ardiyallah Amalia Rahman Amiruddin Kalbuadi Amirudin Kalbuadi Anindita Septirini Ardiyallah Akbar Ardiyallah Akbar Aspari, Roni Astutik Zaerani Aulia, Asma Ayu Awanda Aerin Maesyarani Ayuni Azhuri Baiq Hanna Kurratul Aini Beni Ari Hidayatulloh Beni Ary Hidayatullah Beni Iskandar Firdaus Lubis Biaq Widari Datu Samara Buchtami, Lalu Reza Dedi Supriadi Efendi, Muhamad Masjun Fadhillah Hasbi Ilyas Fadia Karunia Utami Fasya, Muhammad Rafli Feni Ayu Putri Fira Ria Sutardi Gunawati, Junita Haidar, Muhammad Zul Hambali Hambali Hambali Hambali Hambali Hambali Hamzan Wadi Ilyas, Fadhillah Hasbi Imran, Bahtiar Ismayani Jaelani, Lalu Rizki Juma’in, Juma’in Juniyardi, Lalu Kalbuadi, Amirudin Karim, Muh Nasirudin Karya Gunawan Kembang, Lale Puspita Kristy, Rhama Aziz Aulia Kusuma, Ali Pandu Laela Uziah Lalu Darmawan Bakti, Lalu Darmawan Lalu Isnaeni Rahman Lihana M. Budiamin M. Yusuf M. Zulpahmi M.Zulpahmi Mahmud Mahmud Misniati Misniati, Misniati Moh. Subli Moh. Subli Muahidin, Zumratul Muh. Nasirudin Muhamad Miskar Muhammad Nasirudin Karim Muhammad Rijal Alfian Mulyadi, M. Erwin Mutaqin, Zaenul Novianti Puspitasari Panji Wijayanto Paripurna, Rian Bintang Puspita Kembang, Lale Puspitasari, Novianti Putri Novia Dyah Pitaloca ratih ratih Rian Bintang Paripurna Riandi Akbar Ramiz Rudi Muslim Sahida, Nirmala Said, Syukroni Salman Salman Salman Salman Sapitri, Nurul Saputra, Muliadi Sari, Ika Mayang Septirini, Anindita Silpa Rani Zain Sofian Hadi Sriasih, Sriasih Subki, Ahmad Sugeng Widodo Suja’i, Ahmad Supardianto Supardianto Suryadi, Emi Sutrisno, Sutrisno Tony Gunawan Wijaya, I Gusti Ngurah Satria Yumarlin MZ Zaenaldi, Firki Zaeniah Zaeniah Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenul Mutaqin Zaenul Muttaqin Zenudin, Zaenudin Zulpahmi, M Zulpahmi, M.