Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Jurnal Qua Teknika Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Logic : Jurnal Rancang Bangun Dan Teknologi semanTIK
Suroso
Politeknik Negeri Sriwijaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Design and Build an Internet of Things (IoT) Automatic TV Broadcasting Antenna System Jon Endri; Elizah Fitri; Suroso
Logic : Jurnal Rancang Bangun dan Teknologi Vol. 22 No. 3 (2022): November
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1379.228 KB) | DOI: 10.31940/logic.v22i3.225-233

Abstract

Nowadays, television is used for educational purposes. It is easily accessible through air-to-air broadcasts and can be connected via satellite. What is witnessed on a television screen is all image and sound elements. Many people feel uncomfortable watching television shows because when the television is used, the broadcasts that appear are not all images and sounds that can be seen and heard properly. Most antennas used by every household are patented in a certain position. Based on the existing description, the problem that would be solved is how to design an IoT-based TV broadcasting antenna system to make it easier to watch television with clear broadcasts and good sound without changing the antenna's position manually. With the design method, the tool to be made consists of a flowchart and a circuit design, namely, building a system with inputs, processes, and outputs. The automatic TV broadcasting antenna system based on the internet of things (IoT) is a system that points the antenna in the best position for each selected broadcast that can be controlled via Android using the Blynk IoT Application. After that, the test was carried out by taking data at two locations for the IoT antenna. The assessment results showed that each location was different, and the position of the antenna direction would also be different, so the location of the antenna must be changed by changing the angle contained in the Arduino IDE software.
SISTEM PEMANTAUAN PENGGUNAAN PROTOKOL KESEHATAN COVID-19 MENGGUNAKAN METODE HAAR CASCADE DAN NEURAL NETWORK Alif Yudhistira Putra Bayu; Suroso; Sholihin
Jurnal Qua Teknika Vol 11 No 2 (2021): September 2021
Publisher : Universitas Islam Balitar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/quateknika.v11i2.1686

Abstract

SISTEM PEMANTAUAN PENGGUNAAN PROTOKOL KESEHATAN COVID-19 MENGGUNAKAN METODE HAAR CASCADE DAN NEURAL NETWORK COVID-19 is the biggest health problem that occurs in the world today, this virus with its rapid spread and strong resistance has claimed many lives. One way to prevent the rapid spread of this virus is to break the chain of its spread, and always complying with the COVID-19 Health protocol. Some examples of the COVID-19 Health Protocol are the use of masks, normal body temperature, always washing hands, and others. However, public awareness of compliance is still very low, so the COVID-19 pandemic has not ended until now. The best solution at this time is to monitor and ensure the use of the COVID-19 Health protocol. However, with the advancement of technology now and minimizing human contact, the author created a MONITORING SYSTEM FOR THE USE OF COVID-19 HEALTH PROTOCOL USING HAAR CASCADE AND NEURAL NETWORK METHODS that use machine learning technology so that there will be no contact between humans. With this tool, the author hopes that it can reduce the spread of COVID-19 and can end it so that all people can return to normal activities without being disturbed by virus disturbances.
DESIGN OF AUTOMATIC WATERING SYSTEM FOR JASMINE FLOWER ORNAMENTAL PLANTS USING IOT-BASED MICROCONTROLLER Hartesa Osi; Ali Nurdin; Suroso
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 5 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i5.3258

Abstract

The rapid development of information technology has provided convenience in various aspects of human life, including in the fields of agriculture and ornamental plant care. One of the technologies that is currently developing is the Internet of Things (IoT), which allows the integration of physical devices with internet networks to automate and monitor in real time. This study aims to design and build an automatic watering system for jasmine ornamental plants based on a microcontroller using the Arduino IoT Cloud platform. This system is designed to help homeowners care for ornamental plants more efficiently, especially in terms of watering which has so far been done manually. With the help of soil moisture and temperature sensors, this system can monitor the environmental conditions of plants and water them automatically as needed. Through the Arduino IoT Cloud application that can be accessed via smartphone, users can also monitor and control the system remotely. It is hoped that this system can overcome the limitations in manual plant care, as well as increase the effectiveness and efficiency in maintaining the health of jasmine ornamental plants.
Implementasi Sistem Parkir Cerdas Berbasis IoT dan QR Code dengan OCR untuk Segmentasi Plat Nomor Kendaraan Muhammad Dio Alfajri; Suroso; Irma Salamah
SemanTIK : Teknik Informasi Vol. 11 No. 2 (2025): SemanTIK : Teknik Informasi
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v11i2.202

Abstract

Fokus penelitian ini adalah membuat sistem parkir cerdas otomatis (IoT) yang menggunakan teknologi QR Code dan kecerdasan buatan (AI) untuk mengidentifikasi kendaraan dengan lebih cepat dan akurat. Meningkatnya jumlah kendaraan di kawasan perkotaan menyebabkan permasalahan parkir yang semakin kompleks, terutama pada sistem konvensional yang masih bergantung pada pencatatan manual. Kondisi ini menimbulkan antrean panjang, kesalahan pendataan, dan rendahnya efisiensi pengelolaan. Oleh karena itu, dibutuhkan solusi parkir modern yang cerdas, cepat, dan akurat. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem parkir cerdas otomatis berbasis Internet of Things (IoT) dengan integrasi QR Code sebagai identifikasi kendaraan dan Optical Character Recognition (OCR) berbasis kecerdasan buatan untuk pengenalan plat nomor. Metode penelitian menggunakan pendekatan eksperimental, mencakup perancangan perangkat keras dan perangkat lunak, integrasi sensor barcode GM66, kamera untuk akuisisi citra, mikrokontroler ESP32 sebagai pusat kendali, serta motor servo TD8120MG sebagai aktuator portal parkir. Sistem juga dilengkapi dengan algoritma segmentasi citra untuk mengekstraksi karakter plat nomor dan integrasi Telegram API untuk notifikasi real-time kepada pengguna. Hasil implementasi menunjukkan bahwa sistem mampu meningkatkan efisiensi waktu tunggu kendaraan, dengan akurasi identifikasi rata-rata sebesar 90%. Integrasi teknologi IoT dan AI menjadikan sistem ini sebagai solusi inovatif yang layak diterapkan dalam pengelolaan parkir modern di berbagai fasilitas publik seperti kampus, perkantoran, dan pusat layanan umum.  The focus of this research is to create an automatic smart parking system (IoT) that uses QR Code technology and artificial intelligence (AI) to identify vehicles more quickly and accurately. The increasing number of vehicles in urban areas has led to increasingly complex parking problems, especially in conventional systems that still rely on manual recording. This situation causes long queues, data entry errors, and low management efficiency. Therefore, a modern parking solution that is smart, fast, and accurate is needed. This study aims to design and implement an Internet of Things (IoT)-based smart automatic parking system with QR Code integration for vehicle identification and artificial intelligence-based Optical Character Recognition (OCR) for license plate recognition. The research method uses an experimental approach, including hardware and software design, integration of GM66 barcode sensors, cameras for image acquisition, ESP32 microcontrollers as control centers, and TD8120MG servo motors as parking portal actuators The implementation results show that the system is capable of reducing vehicle waiting times, with an average identification accuracy of 90%. The integration of IoT and AI technologies makes this system an innovative solution that is suitable for use in modern parking management in various public facilities such as campuses, offices, and public service centers
Co-Authors Ali Nurdin Alif Yudhistira Putra Bayu Elizah Fitri Endri, Jon Hartesa Osi Irma Salamah Muhammad Dio Alfajri Sholihin