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Implementation of Automatic Car Cleaning System with Microcontroller System Atmega 8 Catra Indra Cahyadi; Muhammad Fadlan Siregar
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 3 (2021): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i3.2548

Abstract

The design is supported by several components such as the pump driving motor, control system, and sensors. The design is in the form of a miniature simulation or called a prototype on a small scale but with the same functionality and performance as the real size. A chip or integrated circuit (IC) technology is growing and becoming more sophisticated, thus providing opportunities for automation development through the Atmega 8 microcontroller. For example, car cleaning is done by human power. The idea arose to design and build a simpler but more useful automatic car wash system. The automatic car wash system uses a mechanical and electrical system that functions as a car wash tool that works automatically. By using several components such as ICs, capacitors, resistors, piezoelectric sensors, and Atmega 8 programmed with 12 volt and 5-volt power supplies. Based on the Atmega 8 microcontroller, the system works by pumping water and soap into the car and drying it with a blower. The input comes from the start user command, namely via the push-on button. Tests are carried out on all components connected to one system, when the start button is pressed the controller will start the car in the right position. The motor that drives the car starts and pulls the car inside. Then the water pump turns on automatically for 2 seconds to pour water into the car and is accompanied by spraying detergent for 2 seconds. After that, the car was rinsed with a cloth with a motor drive for 20 seconds. After that, the water is poured again into the car to clean the detergent residue for 5 seconds and then the last step is the drying process by a wind blower for 10 seconds until the car wash is finished. 
Rancang Bangun Sistem Otomasi untuk Indikator Penentuaan Jarak Objek Benda Syafriwel Syafriwel; Muhammad Fadlan Siregar; Jhoni Hidayat; Ayu Fitriani
Journal of Electrical Power Control and Automation (JEPCA) Vol 5, No 2 (2022): Desember
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jepca.v5i2.75

Abstract

The distance to an object can be known without having to measure it with a meter. The design of this tool can determine an object with a certain position in the form of an indicator that is displayed automatically. An object is a part of determining indicators that can be used as receiving media for the final boundary reflection. With this tool, you can accurately determine the distance to objects without using conventional measuring instruments. The method used is to design the equipment and then test the tool. This tool works when there is input in the form of a password code via the keypad, and if the code or password is entered correctly, the microcontroller will provide high input to the relay to activate this solenoid which is run with the Arduino IDE software so that the microcontroller can detect keypad input properly, the delay is applied to activate the solenoid, by using the proximity sensor we know the accurate limit is for this tool to be able to read the distance of the object provided that the closest distance to the object is 0.5 meters and the farthest is 2 meters with a response time interval of 0.07 seconds to 2.10 seconds, this equipment controlled by Arduino with a listing program that has been set to read objects at a certain distance, with a reading distance. the program listing uses a sound indicator as an output with a sound indicator at a distance of approximately 2 meters.
Rancang bangun sistem monitoring smart green house di Laboratorium Pertanian Universitas Tjut Nyak Dhien Roni Saputra; Jhoni Hidayat; Muhammad Fadlan Siregar
Fakultas Teknik dan Ilmu Komputer Vol 2 No 1 (2023): JURNAL PERSEGI BULAT
Publisher : FAKULTAS SAINS DAN TEKNOLOGI - UTND

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36490/jurnalpersegibulat.v2i1.921

Abstract

Green house merupakan bangunan yang memiliki fungsi untuk menjaga tanaman dari kondisi lingkungan tertentu, yang akan berpengaruh pada tanaman itu sendiri dan menjaga tanaman atau tumbuhan dari berbagai hama agar terjaga kualitas dan kuantitas hasil produksi tanaman seperti yang diinginkan para penanam tumbuhan atau tanaman. Dengan berkembangnya teknologi sekarang, green house ini dapat dikontrol secara otomatis atau dapat dimonitoring secara jarak jauh dengan menggunakan suatu perangkat aplikasi berbasis internet of things. Dalam hal ini penelitian akan merancang sistem monitoring berbasis teknologi Internet of Things (IoT) dan mikrocontroler sebagai sumber sistem dan juga sensor-sensor pendukung seperti pengontrolan suhu dan kelembapan udara serta intensitas cahaya untuk mendukung menjalankan semua perintah pada sistem smart green house. Perkembangan Internet of Things (IoT) pada era sekarang dapat memiliki kelebihan seperti dapat menghubungkan pengguna dengan semua peralatan dari jarah jauh dan dapat mengontrolnya selama peralatan terhubung dengan koneksi internet. Berdasarkan hasil dari beberapa tahapan pengujian yang telah dilakukan, didapatkan suatu hasil yang menunjukkan bahwa keseluruhan pengujian alat dapat berfungsi dan bekerja dengan benar. Dan dapat memonitoring green house dengan data base yang real-time sesuai dengan informasi yang diberikan pada web firebase
Noise Reduction System Using Passive Bandpass Noise Filter on Podcast Microphone Muhammad Fadlan Siregar; Habib Satria; Muhammad Irwanto Misrun; Rudi Salam
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 1 (2024): March 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i1.124

Abstract

The general properties of waves are refraction, reflection, bending (diffraction), interference and polarization. Sound is a form of wave and is in accordance with the law of wave refraction where waves coming from a less dense medium to a denser medium will be refracted closer to the normal line or vice versa. Sound waves easily experience diffraction because sound waves in air have wavelengths of around several centimeters to several meters. Then basically every room, whether you feel it or not, will always have sound. This is inversely proportional to light which has a wavelength of around 500 mm. Therefore, an interference reduction system using a passive bandpass interference filter on the podcast microphone is necessary to reduce interference. Test results carried out by filters used to reduce noise using Passive Band Pass. the waveform is still the original spectrum at 0 Hz – 120 Hz, the original sound conditions and does not cause interference, but interference occurs and filtering Category (Noise %) 10 – 40 low - 98 – 99 high.
Analytical Study of Control Systems For Power Loss Minimization In 20 kV Medium Voltage Distribution Network at PT PLN (Persero) ULP Balige Arya Habibi; Moranain Mungkin; Muhammad Fadlan Siregar
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

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

Abstract

A Power losses in medium voltage distribution networks remain a significant concern for utility companies, particularly in developing regions. This study presents an analytical investigation into the role of control systems in minimizing power losses within the 20 kV medium voltage distribution network at PT PLN (Persero) ULP Balige. This paper research focuses on identifying key components contributing to energy losses, such as unbalanced loading, reactive power flow, and suboptimal voltage regulation. A control system approach is analysed through simulations and system performance evaluations, involving the implementation of automatic capacitor bank control, transformer tap changers, and load balancing strategies. Using simulation tools such as ETAP and actual operational data from the Balige, distribution network, the study evaluates system behaviour under various control scenarios. The results show that implementing a responsive and automated control system significantly reduces technical losses, improves power factor, and enhances voltage profile stability across the network. The study concludes that an integrated control strategy tailored to the characteristics of the local network can optimize distribution efficiency and reduce operational costs. This research provides practical recommendations for PT PLN and similar utilities seeking to modernize their distribution infrastructure through smarter control technologies and data-driven planning.
Integration of Critical Thinking in Intelligent Algorithms for Hoax Detection on Social Media Platforms Milli Alfhi Syari; Hermansyah Sembiring; Muhammad Fadlan Siregar
Systematic Literature Review Journal Vol. 1 No. 4 (2025): October: Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i4.229

Abstract

The rapid growth of social media as a primary channel for information dissemination has triggered a significant surge in the distribution of hoaxes, potentially damaging social order, instigating mass disinformation, and threatening national security. This research aims to design an intelligent algorithm for hoax detection by integrating a critical thinking approach into Natural Language Processing (NLP)-based text processing. The algorithmic model is built using a combination of linguistic features, argument logic, and cognitive indicators such as the detection of unsubstantiated claims, identification of source bias, and evidence testing. To ensure accountability and transparency of the system, an Explainable AI (XAI) approach is applied so that classification results can be understood by non-technical users. The research results show that integrating critical thinking significantly improves detection accuracy to 93.1%, with an increase in precision and recall for detecting hoaxes based on emotional narratives. Beyond technical aspects, this model aligns with the mandate of Law of the Republic of Indonesia Number 11 of 2008 concerning Information and Electronic Transactions (ITE Law), particularly Article 28 paragraph (1), which prohibits the dissemination of false and misleading news that harms the public. Therefore, this system is not only scientifically relevant but also supports law enforcement and strengthens digital literacy in the post-truth era. These findings are expected to be a strategic contribution to the development of an ethical, critical, and responsible digital ecosystem.