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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika International Journal of Artificial Intelligence Research JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JITK (Jurnal Ilmu Pengetahuan dan Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) METIK JURNAL Vocatech : Vocational Education and Technology Journal Jurnal Computer Science and Information Technology (CoSciTech) International Journal of Engineering, Science and Information Technology TECHSI - Jurnal Teknik Informatika Jurnal Teknologi Terapan and Sains 4.0 Journal of Computer Engineering, Electronics and Information Technology Jurnal Informatika: Jurnal Pengembangan IT Jurnal Malikussaleh Mengabdi
Muhammad Fikry
Teknik Informatika Universitas Malikussaleh
Religion Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

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Automatic Control System Using Arduino UNO and Web-Based Monitoring For Watering Chili Plants Rizal Tjut Adek; Muhammad Fikry; Helmi Naluri; Risawandi .
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.5495

Abstract

Caring for chili plants in addition to fertilization is proper watering. Watering is sometimes done less regularly in this case is the timeliness other than that the temperature and soil moisture are not paid attention to by the chili plant keepers. Moreover, if the chili plant keeper has other activities, then the watering of the plants will be more irregular, making the production of chili plants not optimal and even chili plants can die. By utilizing Arduino and several supporting sensors, we can determine the right watering time. In this research, data is taken from sensors, such as soil moisture sensors, air humidity sensors, temperature sensors and ultrasonic sensors which then the data will be sent to the website to be displayed to the user. Sensors are devices used to detect changes in physical quantities such as pressure, force, electrical quantities, light, motion, humidity, temperature, speed and other environmental phenomena. The purpose of this study was to measure soil moisture, air humidity, temperature as a determinant of the right watering time for chili plants and make it easier for farmers to monitor and water chili plants. This is evidenced in the Blackbox testing method on the system design, from the test results it is known that this system has been running well and is in accordance with what is expected.
News Opinion Classification Application With Support Vector Machine Algorithm Using Framework Codeigniter Rizal Tjut Adek; Muhammad Fikry; Umar Khalil
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 1 (2021): EDISI JULY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i1.5189

Abstract

News is an information that contains a lot of data, one of which is data about opinion / sentiment. The opinion / sentiment data of a news can be used for many things. To get the opinion value of a news, it is necessary to do a sentiment analysis technique on the news data that wants to know the level of opinion produced. Sentiment analysis is a technique that uses the data mining method. To see the height of the opinion value of a news item, the Support Vector Machine algorithm is used, which is one of the algorithms in the data mining method that is able to classify data sets into two classes. Using the CodeIgniter framework based on the PHP programming language, an application was developed that can classify the news into two classes, namely the positive class and the negative class. By using 100 pieces of news data from the national news portal, namely detik.com, about 700 sentences and more than 1000 words are generated which are then classified using the SVM algorithm. Applications are able to achieve an accuracy rate of 76%
Co-Authors Annisa Helmina Aynun, Nur Azzahra Iskandar, Farah Bustami Bustami Cut Ita Erliana Dahlan Abdullah Dessayani Putri Dyah Ika Rinawati Eva Darnila Fadlisyah Fadlisyah Fajriana, Fajriana Faradilla, Cut Meutia Hasan Tahir Helmi Naluri Herman Fithra Hizamrul jaen Iskandar, Fahra Azzahra Ismail Ismail Kurnia Amanda, Destiara Lidya Rosnita Maharani, Silfa Muhammad Yani, Muhammad Mukhlis Mukhlis NELI SUSANTI, NELI Nura Usrina Nurdin Nurdin Rahma, Mutiara Risawandi, Risawandi Rizal S.Si., M.IT, Rizal Rozzi Kesuma Dinata Safwandi Safwandi Silfa Maharani Br Padang Subhan Hartanto Taufiqurrahman Taufiqurrahman Umar Khalil Yani, Muhamamd Yesy Afrillia Zahratul Fitri Zara Yunizar zulfhazli zulfhazli