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All Journal Jurnal Simantec e-Jurnal Arus Elektro Indonesia JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) CYCLOTRON Multitek Indonesia : Jurnal Ilmiah JE-Unisla Jurnal Teknik Elektro dan Komputasi (ELKOM) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Journal of Electrical Engineering and Computer (JEECOM) J-Eltrik JASEE Journal of Application and Science on Electrical Engineering JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Fortech SinarFe7 PELS (Procedia of Engineering and Life Science) Jurnal INFOTEL
Ulum, Miftachul
Program Studi S1 Teknik Elektro, Universitas Trunojoyo Madura
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Journal : SinarFe7

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Rancang Bangun Sistem Deteksi Dan Perhitungan Jumlah Orang Menggunakan Metode Convolutional Neural Network (CNN) Indana Nihayatul Husna; Miftachul Ulum; Adi Kurniawan Saputro; Haryanto; Deni Tri Laksono; 6Dian Neipa Purnamasari
SinarFe7 Vol. 5 No. 1 (2022): SinarFe7-5 2022
Publisher : FORTEI Regional VII Jawa Timur

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Abstract

Currently, technology is progressing very rapidly in various fields. One area of ​​technology that is multiplying is the field of electronics. Everyone wants a comfortable and straightforward process in every activity. Indoor people counting is developing as a novelty in video surveillance. Generally, security monitoring systems use CCTV cameras. The use of cameras can be used for monitoring the number of people (people counter). The working principle of this tool is to detect objects in the room that are processed by the camera. The camera will then be processed using the CNN (Convolutional Neural Network) algorithm to detect and count the number of people in the room based on the images of people's faces and or heads. To detect images of people's faces and heads using selective search to obtain image regions which are then used as CNN input. In this case, the region is used to determine the possibility of object images. The results of the classification calculation of the number of people from the CNN method will later be forwarded to the GUI to process data using Visual Studio Code. From the processing of data from the GUI, then the data will be displayed on the monitor.
Analisa Kinerja Pada Sistem Alat Peraga AC Inverter Tipe Wall Split Kapasitas 0,5 PK Aris Jujur Prasetyo; Hafid Wihangga; Miftachul Ulum; Diana Rahmawati; Riza Alfita; Rosida Vivin Nahari
SinarFe7 Vol. 5 No. 1 (2022): SinarFe7-5 2022
Publisher : FORTEI Regional VII Jawa Timur

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Abstract

— Indoor air conditioning and conditioning systems are used to maintain indoor air temperature. Equipment in the air conditioning system (Air Conditioner), functions to regulate room temperature and regulate air humidity. The purpose of this research and development is to understand how it works along with its characteristics and to find out the performance produced from the AC (Air Conditioner) teaching aid system that has been made. Besides that, the making of this teaching aid is also used as a learning medium on AC system electricity material in a real form which is applied as a practicum medium so that it has a high level of effectiveness. The research method used was to carry out the preparatory stage by searching for literature and field studies, then designing the model and assembling the test equipment. An air conditioning machine with a vapor compression cycle has several main components, namely a compressor, condenser, capillary tube, evaporator and filter. The AC trainer model with an inverter type with a capacity of 0.5 PK is rectangular in shape with dimensions of 90 cm x 180 cm and a width of 70 cm. Tool testing was carried out at the Electrical Laboratory of Trunojoyo University for 180 minutes. While the process of collecting data from the test results is carried out every 5 minutes, so as to get a total of 36 data. The data that can be taken in testing the tool is working pressure, temperature in the pipe, voltage, and working current. Analysis of the test results in the form of compressor work (Wk), heat released by the condenser (Qout), heat absorbed by the evaporator (Qin), Coefficient of Performance (COP), Power (P), and efficiency. The average values ​​obtained from the results of data calculations include: the value of the compressor work is 17.11 kJ/kg, the heat released by the condenser is 180.71 kJ/kg, the heat absorbed by the evaporator is 163.57 kJ/kg, the value COP of 9.56, apparent power and active power of 430.29 VA and 395.86 Watt, and an efficiency value of 12.26. The results of the analysis obtained from testing the props and the data calculation process can be concluded that the air conditioning machine is able to work optimally and has a good efficiency value in accordance with the unit specifications
Co-Authors Abidin, Zainal Achmad Fiqhi Ibadillah Achmad Ubaidillah Achmad Ubaidillah Achmad Ubaidillah Adi Kurniawan Saputro Ahmad Azem Ainur Risal Akhmad Efendi Apriliyanto, Muhammad Aris Jujur Prasetyo Bagus Wahyudi Bana, Muhammad Sulton Clarisna Evita Deni Tri Laksono Desi Anis Anggraini Desy Fatjriyatun Dian Neipa Purnamasari Diana Rahmawati Diana Rahmawati Farid Amir Marzelly Faridatul Husniyah Febrian Andi Pratama Gian Putra Hoetomo Hafid Wihangga Haryanto Haryanto Haryanto Haryanto - Haryanto Haryanto Haryanto Haryanto Haryanto Haryanto, Hujjatur Rofiq I Nyoman Widya Marta Wijaya Ian Faizal Idenugraha Indana Nihayatul Husna Irfanuddin Mudzaki Koko Jon Koko Joni Komang Adi Kurniawan Saputra Kunto Aji Kunto Aji Kunto Aji W Kunto Aji Wibisono Kunto Aji Wibisono Kunto Aji Wibisono luqman hardianto M. Azka Mujaddidin M. Dikhyak Falakhul Akmal M.Zainul Arifin Machrus Ali Maulina Safitri Mirza Pramudia Mochamad Faris Kurniawan Monika Faswia Fahmi Muhammad Apriliyanto Muhammad Farisal Muhammad Ilham Rasyidi Muhammad Sulton Bana Mutiara Puspa Putri I Nur Farida Arini Nurul Isnainin Nurus Sholeh Rahmawati, Diana Riza Alfita Riza Alfita Riza Alfita Riza Alfita Riza Alfita ROSIDA VIVIN NAHARI Sigit Rolis Siti A’isya Sukri, Hanifudin Wahyudi Wahyudi Yois Balian Ilyasa Yuandika Nur Pratama