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All Journal Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Electro Luceat JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Techne : Jurnal Ilmiah Elektroteknika Multitek Indonesia : Jurnal Ilmiah Jurnal Teori dan Aplikasi Fisika Jurnal Pengabdian Al-Ikhlas JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) JE-Unisla Generation Journal Journal Zetroem JAREE (Journal on Advanced Research in Electrical Engineering) Journal of Electrical Engineering and Computer (JEECOM) JASEE Journal of Application and Science on Electrical Engineering Jurnal Pendidikan dan Teknologi Indonesia Jurnal Techno Bahari JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) SinarFe7 Fuse-teknik Elektro Jurnal Elektro Kontrol (ELKON) Jurnal Informatika Polinema (JIP) Jurnal Ilmiah Sistem Informasi
Erwanto, Danang
Universitas Islam Kadiri
Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Journal : Electro Luceat

 1 
Klasifikasi Kesegaran Daging Sapi Menggunakan Metode Ekstraksi Tekstur GLCM dan KNN Ade Prabowo; Danang Erwanto; Putri Nur Rahayu
Electro Luceat Vol 7 No 1 (2021): Electro Luceat (JEC) - July 2021
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v7i1.344

Abstract

Meat is the soft part of the animal that is covered by skin and is attached to the bones which become food ingredients. This research was conducted to classify the types of fresh, inn and rotten beef using 120 samples of beef taken directly by the researcher. Before classifying the type of beef, the texture of the beef image was extracted using the GLCM method to produce texture parameters in the form of contrast, correlation, homogeneity and energy. Texture parameters are classified using the KNN method. The results in this study indicate that the extraction of beef image texture using the GLCM method can produce various values on the 4 parameters of the GLCM texture. In addition, the results of the classification of beef freshness using the KNN method to determine 3 types of meat quality, namely fresh, cooked and rotten beef, obtained an evaluation of the classification performance using the Confusion Matrix table with an Accuracy value of 0.82, Precision of 0.83, Recall of 0.82 and F-Measure of 0.82. So that the parameters of the beef image texture using the GLCM method can be classified properly using the KNN method.
KLASIFIKASI CACAT PADA KALENG KEMASAN MENGGUNAKAN METODE LACUNARITY DAN NAÏVE BAYES Danang Erwanto; Putri Nur Rahayu; Yudo Bismo Utomo
Electro Luceat Vol 7 No 2 (2021): Electro Luceat (JEC) - November 2021
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v7i2.398

Abstract

Cans are steel sheets coated with tin (Sn) and used to package food and beverage products. The use of cans as packaging for food products because cans are difficult for microorganisms to pass and cannot be penetrated by ultraviolet light so that the quality of packaged food or beverage products is maintained. The cans selected as packaging must be in a non-defective condition so that an inspection process is needed on the cans. This research implements the Lacunarity and Naïve Bayes Classification methods to classify the types of cans which are grouped into 2 classes, namely Good and Reject. From the implementation of the Lacunarity method, it is able to produce 28 values of texture feature extraction that vary in each image. The results of the evaluation of the classification of the Naïve Bayes Classification method to classify the condition of packaged cans obtained an accuracy value of 0.87, a precision of 0.88, a recall of 0.86 and an f-measure of 0.87, so that the Naïve Bayes Classification method can classify the types of cans packaging in Good and Reject condition based on the value of texture extraction using the Lacunarity method.
MONITORING NILAI SUHU DAN KELEMBABAN UDARA RUANG PERAWATAN PASIEN COVID-19 BERBASIS IoT Fajar Yumono; Danang Erwanto
Electro Luceat Vol 7 No 2 (2021): Electro Luceat (JEC) - November 2021
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v7i2.399

Abstract

The Covid-19 outbreak is an unresolved problem because it is a new disease, so that a definite control formula is still being pursued, including by providing vaccines. There are no specific medical prescriptions for Covid-19 patients, and many experiments are carried out to achieve healing. This study offers observations of temperature and humidity in the treatment room for Covid-19 patients because temperature and humidity greatly affect the patient's recovery. The application of the Internet of Things with the nodeMCU ESP8266 module can make observations with location distances for security. These results will empirically obtain an average value for temperature and humidity in the treatment room for Covid-19 patients which can be used as a reference in other treatment rooms, especially for those who are self-isolating. From the test results of the instrument system, good results were obtained, and the percentage change in sensor readings in the temperature test sample was 3.8% and air humidity was 3.2% to the average value, and the instrument system was tested for 15 consecutive days. and the sample was taken 3 days to obtain a stable value.
IOT Penerapan IoT Pada Desain Alat Pengusir Tikus Rumah Mengunakan Sensor Pir Dian Efytra Yuliana; Yudo Bismo Utomo; Danang Erwanto
Electro Luceat Vol 9 No 2 (2023): Elektro Luceat (JEC)-November 2023
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v9i2.698

Abstract

Tikus merupakan hewan pengerat atau hama pengganggu yang dapat menimbulkan kerugian diberbagai sektor kehidupan, terutama pada sektor lingkungan perumahan. Untuk mengusir tikus di area perumahan masyarakat melakukanya dengan menggunakan jebakan atau perangkap tikus dan apa pula yang menggunakan racun tikus. Namun, cara tersebut dinilai dapat menimbulkan dampak yang buruk bagi lingkungan sekitar. Maka dari itu diadakan penelitian tentang cara mengusir tikus menggunakan gelombang ultrasonik yang terintegrasi dengan internet sebagai alternatif dalam mengatasi masalah tersebut. Alat ini tersusun atas beberapa komponen elektronik seperti mikrokontroller arduino uno yang berfungsi sebagai pusat pengendali dari seluruh sistem, sensor PIR berfungsi sebagai inputan atau masukan ke sistem, nodeMcu berfungsi sebagai modul yang dapat mengirimkan pesan notifikasi ke pemilik rumah melalui sebuah aplikasi telegram, dan generator ultrasonik yang berfungsi sebagai rangkaian pembangkit gelombang ultrasonik untuk mengusir tikus. Berdasarkan penelitian yang telah dilakukan pada alat pengusir tikus menggunakan gelombang ultrasonik pada rumah yang terintegrasi dengan internet layak digunakan untuk mengusir tikus.
MONITORING NILAI SUHU DAN KELEMBABAN UDARA RUANG PERAWATAN PASIEN COVID-19 BERBASIS IoT Yumono, Fajar; Erwanto, Danang
Electro Luceat Vol 7 No 2 (2021): Electro Luceat (JEC) - November 2021
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v7i2.399

Abstract

The Covid-19 outbreak is an unresolved problem because it is a new disease, so that a definite control formula is still being pursued, including by providing vaccines. There are no specific medical prescriptions for Covid-19 patients, and many experiments are carried out to achieve healing. This study offers observations of temperature and humidity in the treatment room for Covid-19 patients because temperature and humidity greatly affect the patient's recovery. The application of the Internet of Things with the nodeMCU ESP8266 module can make observations with location distances for security. These results will empirically obtain an average value for temperature and humidity in the treatment room for Covid-19 patients which can be used as a reference in other treatment rooms, especially for those who are self-isolating. From the test results of the instrument system, good results were obtained, and the percentage change in sensor readings in the temperature test sample was 3.8% and air humidity was 3.2% to the average value, and the instrument system was tested for 15 consecutive days. and the sample was taken 3 days to obtain a stable value.
Co-Authors Achmad Arif Alfin Ade Prabowo Ahmad Ari Setyawan Kusuma Alhadidi, M. Baihaqi Aprilia, Yoga Pebri Arisudin Arisudin Arisudin Asti Riani Putri Atika Kurniasari Ayssa Nurmastika Azzah Rowani, Eka Cahya AJi Saputra Deka Wahyudi Dendi Gunawan Deni Wahyu Wibowo Diah Arie Widhining K. Diah Arie Widhining Kusumastutie Dian Efytra Dian Efytra Yuliana Dian Efytra Yuliana Dian Septi Nur Afifah Eka Azzah Rowani Eka Nuryanto Budi Susila Eka Rahayu Septiana Fajar Yumono Fajar Yumono Fajarudin Fajarudin Farrady Alif Fiolana Farrady Alif Fiolana Farrady Alif Fiolana Fauzi, Muhammad Iqsan Geston Bakti Muntoha Iska Yanuartanti Ismail, Alfian Danu Khafi, Agus Maulana Kusumastutie, Diah Arie Widhining Maulana Alfaruq, Bagoes Maulana F, Delta Mochtar Yahya Mochtar Yahya Mohammad Heri Saputra Mohammad Rangga Nur Faizin Muhammad Azizul Fikri Muhammad Erfan Muhammad Iqsan Fauzi Muthrofin, Mohammad Atif Faiz Naofal, Ahfan Nur Rifa’i, Wahib Rohman Nuzulul Septiana Devi Putri Nur Rahayu Putri Nur Rahayu Rahayu, Putri Nur Ridhovi, Zainul Rizki Bayu Samudra Rosanti, Aulia Dewi Royb Fatkhur Rizal Ruba’i, Ahmad Salahuddin, Yanu Salahudin, Yanu Shalahuddin, Yanu Sri Arttini Dwi Prasetyawati Tiyas, Anis Wahyumulyaning Tomi Sugiarto Tri Handayani Utomo, Yudo Bismo Wahyu S., Mas Ilham Wibowo, Deni Wahyu Widhining Kusumastutie, Diah Arie Yahya, Miftahul Yahya, Mochtar Yanu Shalahuddin Yudha Dicky Pradana Yudo Bismo Utomo Yudo Bismo Utomo Yudo Bismo Utomo Yudo Bismo Utomo Yudo Bismo Utomo Yudo Bismo Utomo Yuliana, Dian Efytra Yumono, Fajar