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All Journal JURNAL PENGABDIAN KEPADA MASYARAKAT Creative Information Technology Journal SISFOTENIKA JURIKOM (Jurnal Riset Komputer) CCIT (Creative Communication and Innovative Technology) Journal IT (INFORMATIC TECHNIQUE) JOURNAL TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Applied Data Sciences Majalah Ilmiah UPI YPTK Journal of Social Responsibility Projects by Higher Education Forum BEES: Bulletin of Electrical and Electronics Engineering Journal of Scientech Research and Development Journal of Community Service Information System and Data Science Jurnal ICT : Information and Communication Technologies Bulletin of Informatics and Data Science Jurnal ABDIMAS MUTIARA PUBLIDIMAS CSRID IESM Jurnal Kendali Teknik dan Sains
Iwan Fitrianto Rahmad
Universitas Potensi Utama
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Developing Digital Examination System Security through the Implementation of the RC4 Algorithm Lubis, Muhammad Luthfi Moratuah; Rahmad, Iwan Fitrianto
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.274

Abstract

The increasing shift toward digital-based academic administration presents significant challenges for educational institutions, particularly regarding the security of examination data, which remains vulnerable when managed through manual processes. To address this issue, this study aims to develop and implement a secure web-based digital examination system using the RC4 cryptographic algorithm to ensure the confidentiality, integrity, and availability of assessment records at Harapan Mekar 1 Vocational School. Employing the CRISP-DM methodology, the research includes business understanding, data preparation, system development, encryption–decryption integration, and system validation. The RC4 algorithm, known for its lightweight structure and fast computational performance, was applied to encrypt student, teacher, and examination data across all operational modules. The results show that the system successfully encrypts and decrypts data through stable implementation of the Key Scheduling Algorithm (KSA) and Pseudo Random Generation Algorithm (PRGA), thereby strengthening protection against unauthorized access and eliminating risks associated with traditional manual data handling. The system effectively enhances operational efficiency and data security, demonstrating that RC4 remains a viable encryption option for educational environments with limited computational resources. This study offers practical implications for schools seeking accessible security solutions and serves as a reference for further system enhancements using more advanced cryptographic algorithms or extended digital examination features.
Penerapan Internet Of Things (IoT) Untuk Mendeteksi Kadar Alkohol Pada Pengendara Mobil Vidi Agung Fragastia; Iwan Fitrianto Rahmad
Industrial Engineering System and Management Journal Vol. 1 No. 1 (2019): Vol 1 No 1 Februari 2019
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dalam kehidupan keseharian, manusia mengerjakan segala aktifitas yang padat, baik aktifitas berat maupun ringan. Sudah tentu akan memerlukan tenaga atau energi untuk melakukan semua kegiatan tersebut, Energi yang diperlukan manusia dapat diperoleh melalui konsumsi makanan dan minuman, termasuk makanan dan minuman yang mengandung alkohol. Etanol pada makanan dan minuman beralkohol telah dikonsumsi manusia sejak dahulu kala dengan berbagai tujuan penggunaan yang berbeda-beda. Konsumsi alkohol dalam jumlah besar akan menyebabkan seseorang teler atau mabuk. Dalam beberapa makanan dan minuman yang ada dipasaran banyak yang mengandung alkohol didalamnya walaupun dalam jumlah kecil. Jika minuman beralkohol dikonsumsi terus-menerus dalam jumlah berlebihan, maka dapat menyebabkan kegagalan pernapasan akut dan kematian. Karena etanol dapat menghilangkan kesadaran, manusia yang mengkonsumsinya dapat melakukan perbuatan buruk yang tidak disadar. Kecelakaan yang terjadi didalam berkendara merupakan bagian dari implikasi lain dari penyalagunaan penggunaan alkohol. Konsumsi alkohol yang terlalu banyak menurunkan kinerja manusia dalam mengemudi, sehingga meningkatkan resiko terjadi kecelakaan atau mengurangi peluang kelangsungan hidup pengendara. Sekitar 40% total kematian yang terjadi di lalu lintas berkaitan dengan penggunaan alkohol. Diperlukan sebuah sistem pendeteksi penggunaan alkohol terdapat pengendara, dengan tujuan mengurangi hal tersebut. Perancangan sistem ini menggunakan sensor MQ303A berbasis mikrokontroler ATMEGA328 dengan module GSM SIM800L. Perangkat ini menggunakan bahasa pemrograman C dan datalog yang tersimpan kedalam server menggunakan komunikasi internet.
Sistem Pemantauan Suhu dan Kelembapan Udara Pada Bunga Lompong Menggunakan IoT Dimas Yussan Muharrom; Khairi Fadli Winata; Nurul Fadilah; Saidah Ulya; Iwan Fitrianto Rahmad
Jurnal Kendali Teknik dan Sains Vol. 4 No. 1 (2026): Januari: Jurnal Kendali Teknik dan Sains
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v4i1.5896

Abstract

The lompong flower is an ornamental plant that requires stable soil moisture conditions and a stable environment so that it can grow optimally. Moisture level mismatches often hinder growth and even have the potential to cause plant damage. This research aims to design and implement an Internet of Things (IoT)-based humidity monitoring system that is able to monitor the humidity condition of the pond flower in real-time. The system developed uses soil moisture sensors as input devices, microcontrollers as data processors, and internet networks as a medium for sending data to the monitoring platform. The data obtained is displayed directly so that users can know the actual humidity conditions and take appropriate maintenance actions. The results show that the system is able to display moisture data with a good level of accuracy, as well as provide relevant information for users in plant care decision-making. The implementation of this system has proven to be effective in supporting the maintenance of lompong flowers, especially in maintaining soil moisture stability. This research is expected to be a reference for the development of IoT-based ornamental plant monitoring technology, as well as contribute to improving the quality of plant care in a more efficient and measurable manner.
TRANSFORMASI DIGITAL PEMBAYARAN UANG SEKOLAH MELALUI APLIKASI ANDROID DI MADRASAH IBTIDAIYAH SWASTA AZRINA Linda Wahyuni; Khairul Ummi; Ananda Fitriani Dewi; Iwan Fitrianto Rahmad
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 32 No. 1 (2026): JANUARI-MARET
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpkm.v32i1.70298

Abstract

Program pengabdian ini dilaksanakan untuk menyediakan sistem pembayaran Sumbangan Pembinaan Pendidikan (SPP) berbasis Android di Madrasah Ibtidaiyah Swasta Azrina sebagai alternatif dari proses pembayaran manual yang selama ini digunakan. Sistem pembayaran konvensional dinilai kurang efisien karena menimbulkan antrean, membutuhkan waktu lama, serta rentan terjadi kesalahan dalam pencatatan. Pelaksanaan kegiatan meliputi pengamatan langsung, pemetaan kebutuhan mitra, sosialisasi kepada pihak sekolah dan wali murid, serta penerapan aplikasi Android yang memungkinkan transaksi dilakukan secara digital. Berdasarkan hasil implementasi, penggunaan aplikasi mampu mempercepat proses transaksi, mempermudah proses pengecekan pembayaran, dan meningkatkan ketepatan penyimpanan data keuangan sekolah. Meski demikian, tidak semua pengguna dapat memanfaatkan sistem dengan optimal karena terbatasnya pemahaman teknologi dan akses internet yang tidak merata. Secara umum, sistem pembayaran SPP berbasis Android ini dinilai layak diterapkan dan berpotensi digunakan secara lebih luas apabila disertai pelatihan lanjutan dan integrasi dengan sistem keuangan digital. Kata kunci: sistem pembayaran SPP, aplikasi Android, digitalisasi sekolah, administrasi keuangan, pengabdian masyarakat
IoT-Based Seaweed Cultivation Monitoring System with Data Transmission Protection Using JSON Web Token (JWT) on ESP32 Iwan Fitrianto Rahmad; Yudho Andika; Vidi Agung Fragastia; Elsa Aditya
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 1 (2026): Februari 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.1.2026.18-31

Abstract

Security in the communication of IoT devices is a critical concern in seaweed cultivation monitoring systems, particularly when operating over open networks. This study presents the design and implementation of an IoT-based monitoring system for seaweed cultivation, incorporating data transmission protection on the ESP32 device through the use of JSON Web Token (JWT). The system monitors key parameters influencing seaweed growth—such as temperature, salinity, pH, and turbidity—and transmits this data to a server via HTTP/HTTPS protocols. JWT is employed for authentication and authorization, ensuring that only legitimate devices are permitted to send data to the server. The research methodology encompasses requirement analysis, system architecture design, hardware and software implementation, followed by functionality, security, and performance testing. Experimental results demonstrate that the proposed system successfully acquires sensor data and transmits it in real time to the server, while effectively rejecting unauthorized attempts lacking valid tokens. The application of JWT significantly enhances communication security with minimal impact on ESP32 performance. Overall, the proposed IoT-based Seaweed Cultivation Monitoring System with JWT protection provides an effective solution for safeguarding data integrity and authenticity in seaweed farming applications.
Deep Deterministic Policy Gradient for Simulation-Based Control of Water Quality in Nano Aquatic Systems Iwan Fitrianto Rahmad; Syahril Efendi; Poltak Sihombing; Henny Febriana Harumy
Journal of Applied Data Sciences Vol 7, No 3: September 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i3.1447

Abstract

This study proposes a simulation-based Deep Deterministic Policy Gradient (DDPG) framework for water-quality control in nano aquatic systems. Nano tanks are highly sensitive to small disturbances because their limited water volume reduces buffering capacity and causes rapid changes in dissolved oxygen, ammonia, pH, temperature, biological oxygen demand, and chemical oxygen demand. To represent these coupled dynamics, a nonlinear simulation model adapted from the Continuously Stirred Tank Reactor concept is developed and implemented as an OpenAI Gym-compatible reinforcement learning environment. The DDPG agent learns continuous control actions related to aeration, feeding, and filtration through repeated interaction with the simulated nano-tank environment. The proposed nonlinear CSTR-DDPG framework is evaluated against a linear-model DDPG baseline using RMSE, cumulative reward, and closed-loop control performance. Simulation results show that the nonlinear model reduced RMSE by 45.2% for dissolved oxygen, 64.0% for ammonia, and 61.3% for pH compared with the linear baseline. The DDPG agent also achieved a 41.7% higher cumulative reward under the same reward structure. These findings indicate that nonlinear simulation can provide a more informative training environment for DDPG-based water-quality control. However, the present study remains limited to simulation-based evaluation, and physical validation using calibrated sensors, actuators, communication-delay analysis, and real nano-tank experiments is required in future work.
Pelatihan Smart Home Berbasis Internet of Things (IoT) dalam Meningkatkan Efisiensi Energi di SMK PAB 8 Sampali Iwan Fitrianto Rahmad; Khairul Ummi; Erwin Panggabean; Muhammad Taufiq Rustam; Vidi Agung Fragastia; Elsa Aditya; Ria Eka Sari
Publikasi Pengabdian Masyarakat Vol 6 No 1 (2026): PUBLIDIMAS Vol. 6 No. 1 MEI 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.6.1.2026.19-28

Abstract

Perkembangan teknologi Internet of Things (IoT) telah membuka peluang strategis dalam penerapan sistem smart home guna mengoptimalkan efisiensi konsumsi energi listrik di sektor residensial. Namun, kompetensi siswa Sekolah Menengah Kejuruan (SMK) dalam bidang IoT dan manajemen energi masih perlu ditingkatkan agar selaras dengan tuntutan Industri 4.0 dan kebijakan transisi energi nasional. Kegiatan Pengabdian kepada Masyarakat melalui Program Kreativitas Mahasiswa (PKM) ini bertujuan meningkatkan pengetahuan konseptual dan keterampilan teknis siswa dalam merancang serta mengimplementasikan sistem smart home berbasis IoT untuk mendukung efisiensi energi. Kegiatan dilaksanakan pada 23 Mei 2026 di SMK PAB 8 Sampali dengan melibatkan sebanyak 19 siswa sebagai peserta. Metode yang diterapkan mencakup penyampaian materi teoritis, demonstrasi, praktik langsung (hands-on training), pendampingan teknis, serta evaluasi menggunakan instrumen pre-test, post-test, dan kuesioner kepuasan bersekala Likert. Hasil analisis kuantitatif menunjukkan peningkatan skor rata-rata peserta dari 50,0 pada pre-test menjadi 90,0 pada post-test (skala 0–100), yang merepresentasikan peningkatan pemahaman sebesar 40 poin persentase. Tingkat kepuasan peserta mencapai 90,5%, mengindikasikan relevansi dan efektivitas program terhadap kebutuhan pembelajaran vokasi. Disimpulkan bahwa pelatihan smart home berbasis IoT terbukti efektif dalam meningkatkan kompetensi digital, kesadaran konservasi energi, dan kesiapan siswa menghadapi transformasi teknologi industri, sehingga layak diadopsi sebagai model pembelajaran vokasi berkelanjutan.
Implementasi Sistem Pemantauan Suhu Air Kolam Ikan Lele Berbasis IoT pada UMKM Budidaya Lele Iwan Fitrianto Rahmad; M. Haidil Umam; Aditya Rizky Suryanta Sembiring; M. Irfan Fadillah; Muhammad Wahyu Pratama
BEES: Bulletin of Electrical and Electronics Engineering Vol 6 No 3 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bees.v6i3.9043

Abstract

Catfish cultivation requires good air quality, especially air temperature, because it affects the growth and health of the fish. One problem often faced by farmers is the manual process of monitoring pond water temperature, which is still less effective and efficient. This study aims to develop an automated Internet of Things (IoT)-based air quality monitoring system using ESP8266 and Arduino IoT Cloud. This system uses a DS18B20 sensor to measure temperature and a DHT11 sensor to measure the temperature and humidity of the air around the pond. Data is sent in real time via a WiFi network and displayed on the Arduino IoT Cloud dashboard. Data input is carried out automatically for 15 days at predetermined time intervals. The results show that the system is able to measure air temperature consistently and in real time with a temperature range between 25.5 °C and 31.1 °C, which is still within the tolerance limit for catfish. This indicates that the developed monitoring system can be used to continuously monitor pond environmental conditions. Therefore, this system can assist farmers in maintaining pond conditions remotely and support more accurate decision-making in catfish cultivation management. The main contribution of this research is the development of an IoT-based air quality monitoring system that is easy to implement, efficient, and suitable for application on an MSME scale.
Monitoring Pertumbuhan Tanaman Hidroponik Berbasis Internet of Things (IoT) Iwan Fitrianto Rahmad; Aditya Arielevi; Mhei Arni Olivia; Amirul Amin PS; M Fikry Haikal
BEES: Bulletin of Electrical and Electronics Engineering Vol 6 No 3 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bees.v6i3.9153

Abstract

The development of Internet of Things (IoT) technology encourages the implementation of smart agriculture to support real-time, data-based plant environmental monitoring. This research aims to design and implement a monitoring system for temperature, air humidity, and light intensity on bean sprout growth using a DHT11 sensor and an LDR light sensor module integrated with the Arduino IoT Cloud. The system was developed using the System Development Life Cycle (SDLC) method and tested under two bean sprout planting conditions, namely conditions with light and without light. Environmental data was collected automatically for eight days and displayed in graphs and tables on the cloud dashboard. The test results showed that bean sprout planting without light had higher air humidity and environmental conditions more suitable for bean sprout growth compared to planting with light. The developed IoT system is able to monitor environmental conditions accurately, in real time, and continuously, and supports comparative analysis of plant growth based on differences in light intensity.
Introduction to Image-Based Computer Vision Applications in Modern Medical Practice Rika Rosnelly; Bob Subhan Riza; Edy Victor Haryanto; Wahyu Saptha Negoro; Iwan Fitrianto Rahmad; Vidi Agung Fragastia; Annisa Ashari
Majalah Ilmiah UPI YPTK Vol. 33 (2026) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v33i1.224

Abstract

The development of Artificial Intelligence (AI)—specifically image-based computer vision—has significantly contributed to modern medical practice by enabling more accurate and efficient medical image analysis. However, understanding and practical skills regarding the implementation of computer vision within community and educational settings remain relatively limited. This community service initiative aimed to enhance participants' conceptual understanding and foundational skills in applying image-based computer vision to medical contexts through a hands-on learning approach. The program was conducted via an integrated workshop that combined theoretical instruction with practical exercises using the cloud-based platform Google Colab. Evaluation was carried out using pre- and post-tests alongside practical assessments. Results showed an increase in participants' understanding, with the average score rising from 54.2 to 82.6 (a 52.4% improvement). Notably, 85% of participants were able to execute image processing modules independently, and 88% successfully completed the practical case study. Participant satisfaction reached a score of 4.6 out of 5. This initiative contributes to improving technological literacy and bridging the gap between conceptual understanding and practical competence in the application of AI within the healthcare sector.
Co-Authors Aditya Arielevi Aditya Rizky Suryanta Sembiring Aditya, Elsa Akbar, M. Ridho Alfa Saleh Alfa Soleh Alfa Soleh Amirul Amin PS Amri, Aulia Ananda Fitriani Dewi Annisa Ashari Ardani, Tira Azhar, Wahyu Bob Subahan Riza Bob Subhan Riza Budi Triandi Budi Triandi Budi Triandi, Budi Dimas Yussan Muharrom Doni, Rahmad Edy Victor Haryanto Edy Victor Haryanto, Edy Victor Efendi, Syahril Elsa Aditya Erwin Panggabean Evri Ekadiansyah Evri Ekadiansyah Fragastia, Vidi Agung Ginting, Ria Ukur Gultom, Erdiana Harahap, Nur Anzelina Hardianto Hardianto Harold Situmorang, Harold Helmi Kurniawan Helmi Syaiful Rahman Henny Febriana Harumy Hestina Irfannur Diah Juanda Hakim Lubis Juanda Hakim Lubis Juanda Hakim Lubis Khairi Fadli Winata Khairul Ummi Khairul Ummi Khairul Ummi, Khairul Lili Tanti Linda Wahyuni Lubis, Muhammad Luthfi Moratuah M Fikry Haikal M Rizky M. Alif Firdiansyah M. Haidil Umam M. Irfan Fadillah Maulana Fajar Sidik Mesran Mesran, M.Kom Mhei Arni Olivia Muhammad Arif Prayudi, Muhammad Arif Muhammad Taufiq Rustam Muhammad Wahyu Pratama Muhammad Yusra Rustam Negoro, Wahyu Saptha Nur Fadillah Nurul Fadilah Pairin, Yusfrizal Bin Pasaribu, Jamil Poltak Sihombing Puji Widodo Purba, Adelina Rahmad Aditya Rahmad Aditya Rahmad Doni Rahmad Doni Rahmad Doni Rahmad, Sofyan Ratih Puspasari Reza Hermawan Ria Eka Sari Rika Rosnelly Robby Ardyanto Marsudi Saidah Ulya Samsir Samsir Samsir Samsir, Samsir Setiawan, Adil Siregar, Rahmadani Sri Mulia Mz Tanjung, Dahriyani Hakim Tumbur Munthe Wahyu Azhar Wiwi Verina Yudhi Andrian Yudho Andika