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All Journal Jurnal Pendidikan Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Hariyono, Joko
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

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Peningkatan Aktivitas dan Prestasi Belajar Siswa melalui Metode Student Teams Achievement Divisions (STAD) pada Pembelajaran IPA Siswa Kelas VII F SMP Negeri 1 Bulu Hariyono, Joko
JURNAL PENDIDIKAN Vol 30 No 2 (2021): July
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jp.v30i2.1283

Abstract

Penelitian tindakan ini dilatarbelakangi oleh permasalahan yang timbul dalam pembelajaran IPA, kususnya pada materi atau kompetensi dasar “ Klasifikasi makhluk hidup di kelas VII F Semester 1 SMP Negeri 1 Bulu.  Subjek penelitian tindakan kelas ini adalah siswa kelas VII F SMP Negeri 1 Bulu tahun pelajaran 2019/ 2020  sebanyak 28 siswa sebagai subjek penerima tindakan, sedangkan untuk  subjek pelaku tindakan adalah guru IPA kelas VII F selaku guru, teman sejawat selaku subjek yang melakukan observasi proses pembelajaran, Kepala Sekolah selaku subjek sumber data .Metode pengumpulan data dilakukan melalui teknik tes, observasi dan dokumentasi. Penelitian Tindakan ini dilakukan dalam dua siklus, tiap-tiap siklus terdiri dari: perencanaan, tindakan, pengamatan dan refleksi. Hasil penelitian ini menunjukkan bahwa penggunaan model pembelajaran kooperatif tipe Student Teams Achievement Divisions (STAD) dapat meningkatkan prestasi belajar  IPA siswa kelas VII F SMP Negeri 1 Bulu tahun pelajaran 2019/ 2020. Hal ini dapat dilihat dari nilai rata-rata prestasi belajar  IPA siswa juga mengalami peningkatan yaitu sebelum tindakan sebesar 68,96, pada siklus I sebesar 75,14 dan pada siklus II sebesar 81,00.Kata-kata Kunci: pembelajaran kooperatif tipe STAD dan prestasi belajar  IPA                                    siswa.
Adaptive Cruise Control based Motor Acceleration Control using Fuzzy Logic Methods Yusuf, Putra Maulana; Hariyono, Joko; Saputro, Joko Slamet; Ramelan, Agus; Adriyanto, Feri; Anwar, Miftahul
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.2.71714

Abstract

The paper presents a method for adaptive cruise control based motor acceleration control. On the long-distance driving, using vehicles that have a risk for accidents. One of these accidents is collisions between vehicles in front of them which can cause multiple collisions. With the help of the ACC feature, it can reduce the occurrence of these accidents which are caused by the driver's fatigue and weather conditions on long-distance trips. By using the Fuzzy adaptive cruise control system, it is successful in adjusting the acceleration set on the fuzzy system, and with the help of the GUI it can make it easier for the operator to set the appropriate acceleration.
Fire Detection Based on Image Using MATLAB GUI Programme Mu'afa, Muhammad Dhafier; Silalahi, Mark Reindhard Joyakin; Julitama, Hanif Wisti; Hariyono, Joko
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 1 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.1.69091

Abstract

Computer vision-based fire detection systems overcome this limitation in that they do not identify flammability on a product-by-product basis. In this study, fire detection was carried out using the YCbCr, RGB, and HSV map approach. The offered system uses color segmentation as a component of fire detection analysis. These three colors space segments will then be extracted to determine the presence of fire in the image used. A rule which consists of five rules based on color space condition had been constructed for classification of a pixel classified as fire. If a pixel satisfies these five rules, the pixels belong to fire class.This paper consists of 6 steps, including image acquisition, image pre-processing, image segmentation, feature extraction, image classification, and GUI creation. GUI provides a visual interface that is intuitive and easy for the user to understand the proposed system. By using button and another visual elements, users can interact with the system efficiently. Based on the tests carried out, the proposed system can detect images of fire in dark and light conditions. Performance testing is done by collecting a set of fire images on the internet. Performance is judged based on how many errors are generated when detecting fire. Performance is categorized into five types, including very good, good, fair, poor, and very poor.
Technology Design to Improve Plant Quality with IoT-Based Plant Temperature and Humidity Monitoring System Setiawan, Ganang Aris; Hariyono, Joko; Ramelan, Agus
Journal of Electrical, Electronic, Information, and Communication Technology Vol 4, No 2 (2022): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.4.2.65902

Abstract

This project focuses on the issue of improving the quality of plants, especially lettuce. Lettuce grows best in a temperature range of 25°C to 28°C and a humidity range of 65% to 78%. In order to grow high quality lettuce, it is necessary to adjust the temperature and humidity. But when you don't have time to pay attention to these details for other important work, that becomes a problem. To solve this problem, we use the Internet of Things to monitor assets anytime, anywhere. We made it possible. Also, this monitoring system saves a lot of time. I use an instant messenger called Telegram. Telegram Messenger is an open source, free, cross-platform application. Use API Bot in Telegram to create intelligent bots that react to messages about surveillance. The DHT11 Temperature and Humidity Sensor is used to provide sensor temperature and humidity readings. The Arduino Integrated Development Environment (IDE) software is used to create the source code, and the ESP 12e acts as the brains of the technology we develop and can connect to the internet. The results of this temperature and humidity monitoring can be accessed by typing commands into the Telegram bot. Statistics and other visual data can also be monitored from websites developed by us.
Co-Authors Adriyanto, Feri Anwar, Miftahul Joko Slamet Saputro Julitama, Hanif Wisti Mu'afa, Muhammad Dhafier Ramelan, Agus Setiawan, Ganang Aris Silalahi, Mark Reindhard Joyakin Yusuf, Putra Maulana