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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Industrial Engineering Management JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Manajemen Informatika dan Sistem Informasi JISA (Jurnal Informatika dan Sains) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Community Development Journal: Jurnal Pengabdian Masyarakat Bulletin of Computer Science Research JURNAL ILMIAH GLOBAL EDUCATION DECODE: Jurnal Pendidikan Teknologi Informasi Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) sudo Jurnal Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Innovative: Journal Of Social Science Research J-ENSITEC (Journal of Engineering and Sustainable Technology) Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Wafiah Murniati
STMIK Lombok
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Other

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Journal : Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK)

 1 
ALAT PENGUKUR SUHU TUBUH MANUSIA TANPA KONTAK FISIK BERBASIS ARDUINO ahmad tarmuzi ojik; Wafiah Murniati; Muhammad Fauzi Zulkarnaen
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol 2 No 1 (2022): Maret, Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (941.187 KB) | DOI: 10.55606/juritek.v2i1.269

Abstract

Abstract Measurement of human body temperature can be measured using a clinical thermometer. Types of thermometers that already exist today include an analog thermometer and a digital thermometer. In general, this tool takes the fastest time of one to two minutes to get a body temperature value, then the scarcity and drastic increase of the tool during the pandemic make the tool rarely found. In this research, a tool is designed that can be used to determine the value of human body temperature in a short time and obtain accurate readings. Usingg an infrared sensor with the MLX90614 series which is combined with Arduino Uno, ultrasonic sensor, buzzer, led, and a 16x2 LCD screen display is a way that is used to make a body thermometer without physical contact. The research method used is by collecting data, analyzing requirements, designing hardware, and software as well as testing or testing that is carried out on the tool made to find out whether the tool has been running and working as expected.
PENERAPAN DATA MINING UNTUK MEMPREDIKSI PENJUALAN KAIN TENUN MNGGUNAKAN REGRESI LINEAR Firda Widia; Wafiah Murniati; Saikin
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol 2 No 1 (2022): Maret, Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.087 KB) | DOI: 10.55606/juritek.v2i1.284

Abstract

Abstract Weaving craft is one of the handicrafts located in Lombok, West Nusa Tenggara. Weaving is one of the MSMEs that is very close to the tourism industry and has good economic potential because it absorbs a lot of labor, opens up business fields, and increases the country's foreign exchange. The problem that is often faced by entrepreneurs of woven fabrics is the difficulty in estimating customer demand, so that some of the products requested by customers are not available. It is necessary for sales analysis of woven fabric products to be able to predict customer demand, by means of analyzing past sales data to predict future sales. The research that will be carried out is to predict sales of woven fabric products by processing sales data in the past by modeling the Linear Regression method, and for testing the algorithm is by Mean Square Error (MSE), Mean Square Error (MSE) and Root Mean Square Error. (RMSE). From the results of linear regression modeling the score obtained is 0.8041320270845731. and the test results mean Mean Square Error (MSE) the error value obtained is too high, namely 47,377, and the Root Mean Square Error (RMSE) value is 6.883125, while the MAE score is 3.373572.
ALAT PENGUKUR SUHU TUBUH MANUSIA TANPA KONTAK FISIK BERBASIS ARDUINO ojik, ahmad tarmuzi; Wafiah Murniati; Muhammad Fauzi Zulkarnaen
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 2 No. 1 (2022): Maret: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v2i1.269

Abstract

Abstract Measurement of human body temperature can be measured using a clinical thermometer. Types of thermometers that already exist today include an analog thermometer and a digital thermometer. In general, this tool takes the fastest time of one to two minutes to get a body temperature value, then the scarcity and drastic increase of the tool during the pandemic make the tool rarely found. In this research, a tool is designed that can be used to determine the value of human body temperature in a short time and obtain accurate readings. Usingg an infrared sensor with the MLX90614 series which is combined with Arduino Uno, ultrasonic sensor, buzzer, led, and a 16x2 LCD screen display is a way that is used to make a body thermometer without physical contact. The research method used is by collecting data, analyzing requirements, designing hardware, and software as well as testing or testing that is carried out on the tool made to find out whether the tool has been running and working as expected.
PENERAPAN DATA MINING UNTUK MEMPREDIKSI PENJUALAN KAIN TENUN MNGGUNAKAN REGRESI LINEAR Firda Widia; Wafiah Murniati; Saikin
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 2 No. 1 (2022): Maret: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v2i1.284

Abstract

Abstract Weaving craft is one of the handicrafts located in Lombok, West Nusa Tenggara. Weaving is one of the MSMEs that is very close to the tourism industry and has good economic potential because it absorbs a lot of labor, opens up business fields, and increases the country's foreign exchange. The problem that is often faced by entrepreneurs of woven fabrics is the difficulty in estimating customer demand, so that some of the products requested by customers are not available. It is necessary for sales analysis of woven fabric products to be able to predict customer demand, by means of analyzing past sales data to predict future sales. The research that will be carried out is to predict sales of woven fabric products by processing sales data in the past by modeling the Linear Regression method, and for testing the algorithm is by Mean Square Error (MSE), Mean Square Error (MSE) and Root Mean Square Error. (RMSE). From the results of linear regression modeling the score obtained is 0.8041320270845731. and the test results mean Mean Square Error (MSE) the error value obtained is too high, namely 47,377, and the Root Mean Square Error (RMSE) value is 6.883125, while the MAE score is 3.373572.
Co-Authors ahmad tarmuzi ojik Akbar, Jihadul Andikasari, Bq Devi Apriati, Yati Ashari, Maulana Ashari Ayu Lestari Azizah, Rizthy Shavna Azomah, Meitia Ba'diatul Baiq Dea Zualina Didik Sudyana Fadli, Sofiansyah Fadli, Sofiansyah Fadli Fahmi, Hairul Firda Widia Haerani, Kiki Hairul Fahmi Hairul Fahmi Hasyim Asyari Khairul Imtihan khairunnisa, Baiq Lalu Mutawalli Mardi Mardi Maulana Ashari Mohammad Taufan Asri Zaen Muhammad Fauzi Zulkarnaen Musofa, Aolia Nurfitriani Nurfitriani, Nurfitriani ojik, ahmad tarmuzi Pirmansyah Pirmansyah Pratiwi, Baiq Evi Rika Nurhaliza Rizthy Shavna Azizah Saeful Hamdi Saikin Saikin Sela Handayani Sofiansyah Fadli Srihati, Ania Suar Ishak Supardianto Wahyu Ismail Kurnia Yasmin Rosana