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All Journal Gema Wiralodra TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Indri Yanti
Universitas Wiralodra
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Other

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Journal : Jurnal Nasional Teknik Elektro dan Teknologi Informasi

 1 
Bel Sekolah Otomatis Berbasis Arduino yang Dikontrol Menggunakan Aplikasi Mobile Muh Pauzan; Indri Yanti
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 2: Mei 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1255.617 KB) | DOI: 10.22146/jnteti.v10i2.1272

Abstract

The school bell is one of the important devices in school. It has been used from years ago to the present. Bell has been improved along with time. Nowadays, research about school bell has been focused on the bell’s controller, such as using software in a computer, placing a keypad on the bell, and even controlling the bell’s schedule, which can only be performed using coding. However, these controllers are not practical; therefore, an efficient school bell is made by using an Android-based application as the controller. Bluetooth is used as a communication tool between the smartphone and the bell. The research method was by conducting a literature study and doing a survey to SDN 1 Sarapati Indramayu. Based on the method, it has been decided to make four modes on the Android application, i.e., regular mode, exam mode, free, dan emergency mode. Regular mode is used in a normal condition, and exam mode is used when the students are doing an exam. If teachers want to ring the bell directly, the free mode is operated. There are four types of bell ring in free mode, i.e., once, twice, three, and four-time rings. Emergency mode is useful when the school is in an emergency, such as earthquakes, floods, and fires. Results show that the maximum range to control the bell is 9 m.
Alat Pendeteksi Formalin Menggunakan Deret Sensor HCHO dan MQ-7 dengan Logika Fuzzy Cyntiya Laxmi Haura; Indri Yanti; Muh Pauzan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 2: Mei 2023
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v12i2.7097

Abstract

Formalin is a hazardous chemical substance that has a pungent odor, is colorless or clear, and is flammable. It should be used to preserve corpses, but often misused by unscrupulous traders to preserve food. Formalin has harmful effects on the human body if it is ingested. Therefore, a practical tool that can detect the presence of formaldehyde in food is needed. Making a formalin detection tool using the Mamdani fuzzy inference system is very useful for detecting formalin and the level of food safety quickly and economically. This tool used the HCHO and the MQ-7 sensors combined with an expert system, namely fuzzy logic. The HCHO detects formalin in the food, like the sense of smell; meanwhile, the MQ-7 sensor detects carbon monoxide (CO). In the testing process, a heater was utilized to vaporize the food samples. The vapor was then detected by the two gas sensors and was processed using the fuzzy logic of the Mamdani method. To see the test’s accuracy using the tool, its results were compared with those of the formalin kit and the Fuzzy Logic Toolbox in MATLAB. The results showed that the lowest level of formalin in the tofu sample, namely sample H, was 0.60 ppm; meanwhile, the highest level was in sample E, with 13.64 ppm. The lowest formalin found in salted fish, namely sample P, was 7.14 ppm, while the highest formaldehyde level was in the salted fish sample, namely sample T, with 193.81 ppm. Compared with the formalin kit results, the accuracy value obtained from the total testing of twenty samples was 95%. The output of the tool was nearly identical to that of MATLAB: 85% with a difference of 0.01 and 15% with a difference of 0.02. The average error between tool output and MATLAB was 0.77%.
Co-Authors Cyntiya Laxmi Haura Muh Pauzan Rinto Anugraha NQZ