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All Journal POSITIF INTEGER: Journal of Information Technology CYCLOTRON JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Prosiding Seminar Nasional Sains dan Teknologi Terapan JURIKOM (Jurnal Riset Komputer) JE-Unisla Journal of System and Computer Engineering KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Tukadi Tukadi, Tukadi
Institut Teknologi Adhi Tama Surabaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Other

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Journal : Journal of System and Computer Engineering

 1 
Monitoring Dan Kontrol Kondisi Air Kolam Ikan Menggunakan Blynk Berbasis Iot tukadi tukadi; M Faiz Zakariya
Journal of System and Computer Engineering (JSCE) Vol 3 No 1 (2022): JSCE: JANUARI 2022
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jsce.v2i2.348

Abstract

Ikan koi (Cyprinus carpio koi) adalah ikan hias yang memiliki bentuk tubuh dan corak yang banyak digemari sehingga mempunyai nilai ekonomi tinggi. Namun dalam pemeliharaan dibutuhkan perawatan berhubungan dengan kualias air yang yang berpengaruh dengan keindahan, pertumbuhan dan ketahanan terhadap penyakit. Kualitas air dalam budidaya dan pemeliharaan memiliki peranan penting pertumbuhan ikan. pengawasan kualitas air harus diperiksa setiap hari. Pada penelitian ini dirancang kontol dan monitoring kualitas air berbasis IoT untuk fungsi pengecekan dan pengawaan. Pototype akuarium dirancang menngunakan dengan mikrokontroler dan beberapa sensor pendukung digunakan, seperti sensor pH air, sensor ketinggian air dan sensor suhu tertentu. Pemantauan kualitas air kolam secara real dapat dilakuan dengan Aplikasi menggunakan smart phone dengan aplikasi blink yang terhubung ke jaringan internet, sehingga pemilik dapat memantau dengan jarak jauh. Pemilik hanya melihat informasi dari ponsel. Dari hasil pengujian sistem dapat berjalan dan kualitas air dapat dipantau menggunakan smart phone. Dalam pengujian tiap sensor dapat mengukur pH dan suhu yang sesuai dengan alat ukur yang ada, diketahui bahwa saat pengujian kolam menunjukkan pH air senilai 7,64 dengan suhu 28°C..
Implementasi Internet Of Things Dengan Qrcode Dan Sensor Suhu Untuk Aplikasi Presensi Pegawai Dimasa Pandemi Covid-19 tukadi tukadi tukadi
Journal of System and Computer Engineering (JSCE) Vol 3 No 2 (2022): JSCE: Juli 2022
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jsce.v3i2.468

Abstract

The outbreak of the COVID-19 disease that has attacked the world since the end of 2019 began in the city of Wuhan, China. Covid-19 is an infectious disease caused by SARS-CoV-2, a type of coronavirus. Various efforts have been made by companies to keep their employees free from COVID-19 cases. Several regulations were changed during the COVID-19 pandemic, such as those on employee absenteeism. Companies that initially employed fingerprints can now use QR Codes for employee attendance. This research applied an automatic system for serving the employee attendance process by recording the employee data, attendance time, and body temperature check. If an employee's body temperature is declared high, there will be a notification indicating an unfavorable health condition, and the employee is not allowed to work that day. The component used in the series was ESP32, as a functional centre and an intermediary between tools and applications. Next, there was the GY-906 MLX90614 body temperature sensor, functioning as an infrared thermometer for non-contact temperature measurement. The barcode scanner served as a tool to read the QR-code on each employee's cellphone. To test the system, the Quality of Service (QoS) test, consisting of three parameters, was applied. In terms of presence and body temperature systems, first, the throughput value of 72.01812 bytes/s was classified into the poor (medium) category. Second, the delay average value of 0.00000117 ms was categorized as Very Good (Best), and finally, the jitter value of 0 ms was classified as very good (Perfect). Keywords: Covid-19, QRCODE, ESP32, Body Temperature Sensor GY-906, Quality of Service (QoS)
Co-Authors Adi, Agung Prasetya Agus Bambang Aldiansyah Andy Suryowinoto Aryo Qomar Danang Haryo Sulaksono, Danang Haryo Dian Puspita Hapsari Edhy Susanto Farida Farida Farida Farida Halifatullah, Ismail Hendro Nugroho Hendro Nugroho, Hendro Ismail Halifatullah M Faiz Zakariya Maftahatul Hakimah Maftahatul Hakimah, Maftahatul Maretha Ruswiensari Muharom, Syahri Muhdiyah, Anisatul Satul Mulyono, Arjun Bagus Qomar, Aryo Rachman Arief Rachman Arief, Rachman Rahcman - Arief Rinci Kembang Hapsari Ruswiensari, Maretha Wahyu Arief Rosyadi Wahyu Setyo Pambudi Wahyu Widodo Wahyu Widodo Weny Mistarika Rahmawati