Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JOIV : International Journal on Informatics Visualization

Development of Smart Simulator for Electronic Fuel Injection (EFI) fuel system based on Quick Response Code (QR Code) for Learning Media Hidayat, Nuzul; Wakhinuddin, Wakhinuddin; Lapisa, Remon; Milana, Milana; Muslin, Muslim; Sardi, Juli; Wirdianto, Eri
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2209

Abstract

This research aims to develop learning media in the form of an intelligent fuel system simulator, namely electronic fuel injection (EFI) on motorbikes, which focuses on developing the addition of Quick Response (QR) codes as additional information from the simulator, which is connected to video on the YouTube platform. With the help of the QR code, it is scanned using a smartphone so that the QR code can be connected directly to YouTube, providing additional information about the Smart simulator EFI system on motorbikes. This research was carried out by applying the Research and Development method and following the Plomp model, which consists of the following stages: (1) preliminary investigation, (2) designing and making a prototype, and (3) assessment. The existing simulator was developed by adding a QR code, and the QR code will be connected to videos that have been uploaded on the YouTube platform. QR codes are created using the online QR code generator platform. Assessment of the smart simulator is carried out through a questionnaire filled out by media experts and subject experts, as well as through observation sheets during smart simulator testing. The research results are a smart simulator product for EFI fuel on motorbikes equipped with a QR code. Evaluation by media and material experts shows that the smart simulator is declared valid. Meanwhile, the results of observations during product testing show that the smart simulator can describe the characteristics of the EFI fuel system on a motorbike according to the actual situation.
Co-Authors Adi, Alexie Herryandie Bronto Agung Sulaiman Ahmad Arif Ahmad Arif Andrizal Apriansyah Ardiansyah, Ari Ayu Sulastri Ayusran, Reyvanda Azani, Magribfa Baharudin, Agus Bakar, Muhammad Jamil Dandi Bakti Dedi Setiawan Delima Yanti Sari Deni Setiadi, Deni DESTI ARIANI Donny Fernandez Dori Yuvenda Dwi Sudarno Putra Dwi Sudarno Putra Eri Wirdianto Erzeddin Alwi Fadhil, Fharizal Fadhli Ranuharja Fauza, Anna Niska Firdaus, Pangeran Albari Ramadino Hamid Nasrullah Handika, Rival Harmanto, Dani Harris Fedriansyah Harris Yudha Pratama Hasan Maksum Hendra Dani Saputra Herlando Ikhwan, Aroma Irfan Nugraha Putra Mukhti Irma Yulia Basri Irzal, Irzal Joni, Rahmi Rahmahwati Juli Sardi Kevin Lisson Putra Khairul, Farid M Giatman M Nasir M Nasir M. Yasep Setiawan Martias Martias Martias Martias Meiyola Syaflinda Muhammad Andre Nasrinur Andre Muhammad Farid Reza Frinison Muhammad Hamdil Qashwa Muhammad Jamil Bakar Munawir Harahap Muslim Muslim Nanda Farhan Mardhatillah Nanda, Iffarial Nizwardi Jalinus Nuzul Hidayat, Nuzul Oktaviani, Ranti Opi Tananda Pinto Pratama Afosma Purwanto, Wawan Putra Jasman, Yusril Putra, Dede Prima Putra, Randi Purnama Rahmad Rahmad Rahman, Anatachia Ramadhania, Amdanova Rasyid Ridho Harahap Remon Lapisa Remon Lapisa Remon Lapisa Rifdarmon Rifdarmon, Rifdarmon Salahudin R, Fahrul Sugiarto, Toto Susi Erawati Sutrio Yatmoko, Bambang Syafmi Arifan Ma'ruf Toto Sugiarto Tyawarman, Zhery WAGINO Wagino Wakhinuddin S Wakhinuddin Wakhinuddin, Wakhinuddin Wanda Afnison Weny Late Afriza Wirdianto, Eri Zikri Zikri