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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) Techno.Com: Jurnal Teknologi Informasi JREC (Journal of Electrical and Electronics) CCIT (Creative Communication and Innovative Technology) Journal Buletin Ilmiah Sarjana Teknik Elektro Journal Sensi: Strategic of Education in Information System Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Indonesian Journal of Electrical Engineering and Computer Science Jurnal Abdimas ADPI Sains dan Teknologi Journal of Integrated and Advanced Engineering (JIAE) Journal of Informatics and Communication Technology (JICT) NEAR: Jurnal Pengabdian kepada Masyarakat Journal of Informatics and Communication Technology (JICT)
Freddy Artadima Silaban
Universitas Mercu Buana
Humanities Astronomy Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Journal : CCIT (Creative Communication and Innovative Technology) Journal

 1 
Build Smart Home Controls Using Wemos Microcontroller-Based Telegram App Freddy Artadima Silaban; Rendy Elmianto; Lukman Madriavin Silalahi
CCIT (Creative Communication and Innovative Technology) Journal Vol 14 No 1 (2021): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (881.659 KB) | DOI: 10.33050/ccit.v14i1.802

Abstract

Current technological developments are very fast and progressing. One of the developments that occurs in the IoT (Internet Of Things) system. Many IOT (Internet Of Things) systems already have open source and can be suitable as needed, therefore by utilizing technological advancements, lamp controllers and house doors are made using Telegram applications. This control system can carry out home communications and control home electronic devices such as lights and house doors remotely using the Wemos and Arduino UNO microcontrollers. The Telegram application is used to send commands connected to the io.adafruit.com server. This system can provide notifications sent to the Telegram application when the house door is opened. The conclusion of the results obtained when the tool needed to communicate with the server is 12.94 seconds. For the voltage of 4 lights ± 220 V AC and for servo voltage ± 4.8 V DC. For the response time of the tool to the server ± 3 seconds, while the response time of the tool to Nextion LCD is ± 1 second
Solar Panel Drive Design Based Internet of Things Freddy Artadima Silaban; Arga Gilang Rolanda; Lukman Medriavin Silalahi; Setiyo Budiyanto
CCIT Journal Vol 16 No 1 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (806.92 KB) | DOI: 10.33050/ccit.v16i1.2363

Abstract

Indonesia is located on the equator which makes the island irradiated by the sunlight from 10 to 12 hours per day. The use of solar cell panels is generally placed in certain positions without change. For the optimal consumption of solar energy, then we need a system that follows the sun called a solar tracking system. Research the solar tracker automatically moves on an edge 0° - 180° and otherwise. To control or operate solar cells and easier the maintenance process of solar cell panels, then we need a system called IoT (Internet of Things) combine with microcontroller ESP8266 access on the Thingspeak application. The result of this study shows servo motors moved every 1 hour by 20 degrees from 6 am to 5 pm by the solar panels. Equipped with sensors INA219 to know the results of the solar energy that absorbs by the solar cells and shown on the Thingspeak application.
Monitoring and Evaluation Electrical Power Control in Solar Power Systems Based on IoT Freddy Artadima Silaban; Evanendra Nur Wisnu Putra; Lukman Madriavin Silalahi
CCIT (Creative Communication and Innovative Technology) Journal Vol 17 No 2 (2024): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v17i2.2996

Abstract

This study aims to develop a monitoring and electrical power control system for solar power systems based on IoT. The problem addressed is how to monitor and control the electrical power usage from solar panels in real-time over the internet, as well as how to limit the electrical power used by AC loads for energy efficiency. The system is equipped with sensors to measure current, voltage, and light intensity, controlled by an ESP32 microcontroller. Sensor data is processed and displayed in the form of graphs on a web page in real-time. The system also includes additional controls to connect and disconnect the electric current to AC loads, and limit the electrical power, allowing users to manage electrical energy usage efficiently. The research methodology includes several stages: designing the system block diagram, developing the hardware and software, implementing and integrating sensors with the ESP32 microcontroller, and testing the entire system. The results show that the prototype system can function according to the initial design. The system can record current, voltage, power, and light intensity in real-time and display them as graphs and tables on the website. AC load control and power limiting on AC loads can operate according to user commands. Measurements from a 10 Wp solar panel show maximum intensity around noon under sunny conditions, producing a current of up to 0.45 Ampere. The efficiency of the solar panel in this prototype is 12.16%, indicating a need for improvement for more effective use. The main contribution of this research is the development of an integrated monitoring system with web-based electrical power control, enabling users to monitor and manage solar power systems efficiently and in real-time
Neural Network Approach Using PyTorch to Predict the Growth of Various Types of Plants Silaban, Freddy Artadima; Firdausi, Ahmad
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3884

Abstract

In the era of rapid technological advancement, agriculture faces increasing challenges in optimizing production efficiency and managing resources sustainably. In Indonesia, various plant types are essential agricultural commodities, yet their productivity is often disrupted by erratic weather, poor land management, pest infestations, and land-use change. This study proposes a predictive model for plant growth using a neural network implemented in the PyTorch framework, integrating multiple environmental features such as temperature, humidity, soil moisture, nutrients, pH, and NPK levels. Unlike previous works that typically focus on specific crops or limited variables, this research introduces a multivariate approach combining diverse agro-environmental data to classify plant types accurately. The model architecture was tuned using GridSearchCV, resulting in optimal hyperparameters (e.g., batch size 32, learning rate 0.001, activation: tanh), achieving high performance with Area Under the Curve (AUC) values nearing 1.0 across most classes. Visualization of network weights reveals how input features are transformed through hidden layers, providing interpretability and transparency in decision-making. The proposed system demonstrates strong generalization capability, as validated on unseen data, and offers real-time prediction feasibility for deployment on edge devices such as NVIDIA Jetson Nano. This work contributes a novel, data-driven approach to smart agriculture by enabling precise growth prediction across multiple plant types, enhancing strategic planning for resource allocation and crop management. Future work includes model adaptation for time-series forecasting and validation with live sensor inputs in real-world agricultural environments.
Co-Authors Adi Kurnia Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Ahmad Firdausi Alvin Sepbrian Arga Gilang Rolanda Arif Rahman Hakim Astuti, Iklimadani Sheviana Berlin Silaban Dimas Jatikusumo Eko Cahyono Evanendra Nur Wisnu Putra Gao Hongmin Gunawan Osman Imelda Uli Vistalina Simanjuntak Kito Kurniawan Lukman Madriavin Silalahi Lukman Madriavin Silalahi Lukman Medriavin Silalahi Lussiana ETP Mochamad Furqon Ismail Muhammad Budi Haryono Muhammad Hafizd Ibnu Hajar Muhammad Ikhsan Muzazanah, Annisa Tyas Rachmat Muwardi RAHAYU, FAJAR Reimondika, Fegi Arga Rendy Elmianto Rochendi, Agus Dendi Selamet Kurniawan Septi Andryana Setiyo Budiyanto Sicilia Riris Oktaviany Sihombing, Grace Lamudur Arta Simanjuntak, Imelda Uli Vistalina Taufiq, Yufimar Triyanto Pangaribowo Ucuk Darusalam Wahyu Kusuma Raharja Yustisi Ayunda Putri