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All Journal Jurnal Mikro Tiga Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Rekayasa Elektro Sriwijaya
Hera Hikmarika
Universitas Sriwijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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PEMROGRAMAN SISTEM OTOMATIS SORTIR BARANG BERDASARKAN WARNA MENGGUNAKAN PLC (PROGRAMMABLE LOGIC CONTROLLER) BERBASIS MIKROKONTROLLER PIC16F877 Hera Hikmarika; Zaenal Husin; Renny Maulidda
Jurnal Mikrotiga Vol 1, No 3 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (634.618 KB)

Abstract

Abstrak—Teknologi yang semakin berkembang, mendorong para pelaku industri untuk mengganti sistem manual ke sistem otomatis. Contoh proses produksi yang masih dikerjakan secara manual adalahpensortir barang. Pada penelitian ini, mikro PLCberbasis mikrokontroller PIC16F877akan digunakan sebagai pensortir barang berdasarkan warna (hitam dan putih). Alat ini akan bekerja secara otomatis..Rancangan Mikro PLC ini dapat di aplikasikan untuk penggunaan pada instansi pendidikan karena dapat meminimalisir biaya jika di bandingkan menggunakan PLC seperti di industri. Mikro PLC ini dilengkapi dengan bahasa pemrograman sendiri, yaitu ladder diagram yang di buat menggunakan software LDMicro. Ladder diagram ini akan di tanamkan ke memori mikrokontroller PIC16F877 menggunakan software PICPgm. Program ladder diagramakan memberikan instruksi ke input dan output mikrokontroller PIC16F877. Perangkat input berupa sensor photodioda yang akan mendeteksi keberadaan barang dan warna barang. Sedangkan perangkat output berupa motor DC yang akan menggerakkan jalannya konveyor. Barang yang berwarna putih akan bergerak ke arah kanan sedangkan barang yang berwarna hitam akan bergerak ke kiri. Proses pensortiran barang ini akan berlangsung secara terus menerus.Kata kunci: Mikro PLC, Ladder Diagram, Sistem Otomatis, LDMicro, PICPgmAbstract—Advanced technology has encouraged industry to replacea manual system to an automated system. One of them is in the production process, .micro PLC based on PIC16F877 microcontroller is designed to sort the objects based on its colour (black or white). The advantage of this Micro PLCis it can minimize the cost. Micro PLC is equipped with its own programming language, ladder diagram. It, is created using LDMicrosoftware. Ladder diagram will be downloaded into PIC16F877 microcontroller’s memory using PICPgmsoftware. Ladder diagram will provide instruction to input and output of PIC16F877 microcontroller. Photodiode sensor as input devices will detect the presence of the objects and the color of objects and the output devices of DC motor will drive the conveyor’s path. White object will move to the right, while the black object will move to the left. This sorting objects process will take place continuously.Keywords. Micro PLC, Ladder Diagram, Automated System, LDMicro, PICPgm
PERANCANGAN PENGENDALIAN OTOMATIS PADA PROTOTIPE PORTAL SCRAPER BERBASIS PLC Edy Lazuardi; Zaenal Husin; Rio Fernansyah; Hera Hikmarika
Jurnal Mikrotiga Vol 1, No 2 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (315.036 KB)

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Abstrak— Dalam era industri saat ini, penggunaan PLC (programmable logic controller) sebagai alat kontrol atau pengendalian proses produksi di indutri sudah menjadi bagian utama guna meningkatkan kinerja dari alat produksi. Dengan adanya penggunaan PLC, maka peralatan yang masih berfungsi secara manual dalam proses produksi seperti kontaktor, relay dan lain-lain dapat dikurangi serta meningkatkan hasil produksi baik secara kualitas maupun kuantitas. Salah satu peralatan yang membutuhkan pengendalian otomatis adalah Portal Scraper. Saat ini, banyak industri yang mengoperasikan Portal Scraper secara manual atau tenaga kerja stand by dalam pengoperasian alat mulai dari proses produksi hingga selesai. Sistem pengendalian yang mudah dan praktis dibutuhkan oleh Portal Scraper dengan menggunakan kontroler PLC. Kontroler PLC dapat bekerja secara otomatis tergantung pada program yang dibuat. Pengendalian otomatis pada Portal Scraper mampu menekan biaya produksi yang dikeluarkan oleh perusahaan untuk membayar tenaga kerja dan meningkatkan efisiensi serta kualitas dari hasil produksi.Kata kunci: Portal Scraper, PLC, Pengendalian OtomatisAbstract—PLC (programmable logic controller) is an important controller to improve the performance of industrial equipment. PLC converts the controller method from manual to automatic method which can increase the quality and quantity of the output. One of the equipment which needs automation is Portal Scraper. Recently, Portal Scraper is operated manually by the operator since the beginning to the ending of industrial process. PLC controller can replace this manual process. It works automatically depending on the program. Automatic controller in Portal Scraper can lessen the operational cost and increase the efficiency and quality of the products.Keywords. Portal Scraper, PLC, Automatic Controller
Road and Vehicles Detection System Using HSV Color Space for Autonomous Vehicle Aulia Ghaida; Hera Hikmarika; Suci Dwijayanti; Bhakti Yudho Suprapto
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 1 (2020): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v16i1.16949

Abstract

Nowadays, an autonomous vehicle is one of the fastest-growing technologies. In its movements, the autonomous vehicle requires a good navigation system to run on the specified lane. One sensor that is often used in navigation systems is the camera. However, this camera is constrained by the process and its reading, especially to detect roads that are suitable for the vehicle's position. Thus, this research was conducted to detect the road and distance of nearby objects using the HSV color space method. From the test results, this research succeeded in detecting roads with an accuracy of 78.012 %, and an accuracy of 80% for the safe/unsafe area detection. The results also showed that the method achieved an accuracy of 80% and 74.76%for object detection and object distance detection, respectively. The results of this research implied that the HSV method wasquite good with fairly high accuracy to detect roads and vehicles.
The Detection System of Helipad for Unmanned Aerial Vehicle Landing Using YOLO Algorithm Bhakti Yudho Suprapto; A. Wahyudin; Hera Hikmarika; Suci Dwijayanti
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 2 (2021): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i2.20684

Abstract

The challenge with using the Unmanned Aerial Vehicle (UAV) is when the UAV makes a landing. This problem can be overcome by developing a landing vision through helipad detection. This helipad detection can make it easier for UAVs to land accurately and precisely by detecting the helipad using a camera. Furthermore, image processing technology is used on the image produced by the camera. You Only Look Once (YOLO) is an image processing algorithm developed to detect objects in real-time, and it is the result of the development of one of the Convolutional Neural Network (CNN) algorithm methods. Therefore, in this study the YOLO method was used to detect a helipad in real-time. The models used in the YOLO algorithm were Mean-Shift and Tiny YOLO VOC. The Tiny YOLO VOC model performed better than the Mean-Shift method in detecting helipads. The test results obtained a confidence value of 91.1%, and the system processing speed reached 35 frames per second (fps) in bright conditions and 37 fps in dark conditions at an altitude of up to 20 meters.
Sistem Kendali pada Pergerakan Posisi Humanoid Robot Beroda Menggunakan PID Muhammad Al Daffa Tumaga T. Taufik Abdullah; Hera Hikmarika
Jurnal Rekayasa Elektro Sriwijaya Vol. 3 No. 2 (2022): Jurnal Rekayasa Elektro Sriwijaya
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jres.v3i2.55

Abstract

Perkembangan teknologi di masa sekarang telah berkembang dengan sangat pesat. Salah satunya adalah di bidang teknologi dengan adanya mesin dan robot yang semakin canggih. Jenis robot yang dikembangkan saat ini adalah humanoid robot. Robot manusia (humanoid robot) adalah robot yang memiliki bentuk dan diprogram untuk menyerupai manusia, salah satu bentuk robot manusia yang dikembangkan adalah robot manusia beroda, robot tersebut memiliki sistem mekanik beroda untuk berpindah posisi, untuk mencapai pergerakan yang cepat dan akurat tersebut diperlukan suatu metode sistem pengendali. Maka, pada penelitian ini dikembangkan suatu humanoid robot beroda yang menggunakan metode pengendali PID sebagai sistem pergerakan perpindahan posisi robot manusia beroda. Controller PID merupakan pengendali yang sederhana dan akurat dalam mempertahankan nilai setpoint. Sehingga, robot manusia beroda dapat melakukan perpindahan posisi secara cepat dan akurat. Hasil yang diperoleh dari penelitian ini adalah sistem kendali PID yang digunakan sebagai sistem kendali gerak dalam melakukan perpindahan posisi menggunakan aplikasi MATLAB simulink, menunjukkan hasil yang baik, dibuktikan dengan beberapa pengujian dimana saat melakukan perpindahan posisi menggunakan pengendali PID dengan nilai Kp = 4,8, Ki = 12, dan Kd = 0,4608 menunjukkan robot dapat berpindah menuju setpoint dengan stabil dan mendapatkan nilai error yang kecil.
Face Recognition-Based Room Access Security System Prototype using A Deep Learning Algorithm Immanuel Morries Pohan; Suci Dwijayanti; Bhakti Yudho Suprapto; Hera Hikmarika; Hermawati Hermawati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5376

Abstract

Writing Mandarin characters is considered the most challenging component for beginners due to the rules and character formations. This paper explores the potential of a machine learning-based digital learning tool to write Mandarin characters. It also conducts a comparative study between MobileNetV2 and MobileNetV3, exploring different configurations. The research follows the Multimedia Development Life Cycle (MDLC) method to create both application and machine learning models. Participants from higher education institutions that offer Mandarin courses in Batam, Indonesia, participated in a User Acceptance Test (UAT). Data were collected through questionnaires and analyzed using the System Usability Scale (SUS) methods. The results show positive user acceptance, with an SUS score of 77.92%, indicating a high level of acceptability. MobileNetV3Small was also preferred for recognizing user handwriting, due to comparable accuracy size, rapid inference time and smallest model size. Although the application was well received, several participants provided constructive feedback, suggesting potential improvements.
Co-Authors A. Wahyudin Aulia Ghaida Bhakti Yudho Suprapto Edy Lazuardi Hermawati Hermawati Immanuel Morries Pohan Muhammad Al Daffa Tumaga T. Taufik Abdullah Renny Maulidda Rio Fernansyah Suci Dwijayanti Zaenal Husin Zaenal Husin