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Perancangan Sistem Antisipasi Terhadap Luapan Air Pada Selokan Berbasis Internet Of Things I Nyoman Jepri Martana; I Wayan Sudiarsa; Ayu Manik Dirgayusari; I Gede Adnyana
Jurnal Tika Vol 7 No 2 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1018.51 KB) | DOI: 10.51179/tika.v7i2.1319

Abstract

The impact of overflowing water in this ditch is the emergence of many diseases in the community and of course activities will be hampered. Because the possibility of flooding caused by overflow in the ditch, it is hoped that there will be a system that can reduce or even prevent flooding in areas that are prone to flooding due to overflowing sewers. As is the case with the problem at one location in Petak Kelod Village, precisely in Banjar Madangan Kaja, which experienced a problem in the gutter that almost every heavy rain came, causing the sewer to be clogged due to several factors such as: the size of the ditch is not the same which causes the water flow to become blocked, then the garbage in the gutter also causes the flowing water to become clogged. To overcome this, we need a system that can drain the blocked water flow by flowing it towards a larger ditch so as to make the clogged sewer smoother. The systems used to support this research are Arduino Uno, NodeMCU ESP8266, Ultrasonic Sensors, LEDs, and Stepper Motors, where the system will send the water level status via telegram and open the door automatically if the water level threshold is reached to be channeled to the backup channel so that the water is divided into two with the same volume and causes the waterway to return to normal. In the Esp8266 NodeMCU Connection Testing test, 100% success was obtained with an error of 6.934% in ultrasonic sensor testing, overall system performance was measured and 100% success was obtained
Rancang Bangun Sistem Monitoring Panel Listrik dan Kontrol Listrik Kos Berbasis IoT I Made Agus Iwan Wisnawa; Ayu Manik Dirgayusari; I Gede Made Yudi Antara; Anak Agung Gede Ekayana; I Wayan Sudiarsa
Jurnal Krisnadana Vol 2 No 1 (2022): Jurnal Krisnadana - September 2022
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1114.864 KB) | DOI: 10.58982/krisnadana.v2i1.230

Abstract

Kamar kos merupakan salah satu bisnis yang berkembang pada era modern saat ini, khususnya pada kawasan yang memiliki banyak perguruan tinggi. Penggunaan kebutuhan listrik setiap penyewa memiliki perbedaan sesuai dengan penggunaan barang elektronik yang dimiliki oleh penyewa, semakin banyak penggunaan listrik tersebut maka semakin besar biaya yang diperlukan dan semakin besar juga resiko yang dihadapi, salah satunya adalah overload. Pada penelitian ini dibuat sistem yang dapat memonitoring listrik dan mengkontrol listrik melalui website untuk mengetahui penggunaan listrik dan biaya yang dibutuhkan pada masing-masing kamar. Sistem ini dibuat menggunakan komponen NodeMCU ESP32, Arduino Nano, Sensor PZEM-004t, relay, dan LCD I2C. Pengujian dilakukan pada salah satu kamar kos yang berada di Kota Denpasar. Dari hasil pengujian sistem yang dibuat diketahui bahwa persentase keberhasilan pada sensor untuk mendeteksi tegangan sebesar 100%, arus sebesar 93% daya sebesar 94%, dan didapatkan bahwa jumlah penggunaan listrik dan perkiraan biaya yang diperlukan dapat dipantau dari jarak jauh menggunakan website. Kelebihan dari sistem ini adalah dapat memantau penggunaan listrik dari jarak jauh tanpa batasan jarak, namun koneksi internet sangat berpengaruh pada sistem untuk memantau penggunaan listrik pada lokasi penelitian.
Rancang Bangun Sistem Monitoring Panel Listrik dan Kontrol Listrik Kos Berbasis IoT I Made Agus Iwan Wisnawa; Ayu Manik Dirgayusari; I Gede Made Yudi Antara; Anak Agung Gede Ekayana; I Wayan Sudiarsa
Jurnal Krisnadana Vol 2 No 1 (2022): Jurnal Krisnadana - September 2022
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1121.445 KB) | DOI: 10.58982/krisnadana.v2i1.230

Abstract

Kamar kos merupakan salah satu bisnis yang berkembang pada era modern saat ini, khususnya pada kawasan yang memiliki banyak perguruan tinggi. Penggunaan kebutuhan listrik setiap penyewa memiliki perbedaan sesuai dengan penggunaan barang elektronik yang dimiliki oleh penyewa, semakin banyak penggunaan listrik tersebut maka semakin besar biaya yang diperlukan dan semakin besar juga resiko yang dihadapi, salah satunya adalah overload. Pada penelitian ini dibuat sistem yang dapat memonitoring listrik dan mengkontrol listrik melalui website untuk mengetahui penggunaan listrik dan biaya yang dibutuhkan pada masing-masing kamar. Sistem ini dibuat menggunakan komponen NodeMCU ESP32, Arduino Nano, Sensor PZEM-004t, relay, dan LCD I2C. Pengujian dilakukan pada salah satu kamar kos yang berada di Kota Denpasar. Dari hasil pengujian sistem yang dibuat diketahui bahwa persentase keberhasilan pada sensor untuk mendeteksi tegangan sebesar 100%, arus sebesar 93% daya sebesar 94%, dan didapatkan bahwa jumlah penggunaan listrik dan perkiraan biaya yang diperlukan dapat dipantau dari jarak jauh menggunakan website. Kelebihan dari sistem ini adalah dapat memantau penggunaan listrik dari jarak jauh tanpa batasan jarak, namun koneksi internet sangat berpengaruh pada sistem untuk memantau penggunaan listrik pada lokasi penelitian.
Rancang Bangun Sistem Pendeteksi Kebocoran Gas Secara Portable pada Distributor Gas Rumah Tangga M.Arif Zamzak; I Wayan Sudiarsa; I Dewa Putu Gede Wiyata Putra
Jurnal Kendali Teknik dan Sains Vol. 1 No. 3 (2023): Juli : Jurnal Kendali Teknik dan Sains
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v1i3.1058

Abstract

In this research we design and build a portable gas leak detection system for household gas distributors. The performance of the designed system is described and evaluated. The system aims to speed up the time in detecting gas leaks. System portability allows implementation and monitoring in the form of a website. System design and performance are assessed and proven effective in detecting gas leaks, providing a reliable and efficient solution for gas distributors. The method used is the conditional method where the gas leak detection system is made with Nodemcu esp8266, sensor mq6, buzzer, step-down lm2596, and led. The results obtained from testing the leak detection system explain the testing and evaluation of the gas cylinder inspection system. The system is designed to check 3kg gas cylinders, category level 1 with numbers 300-500, category level 2 with numbers 500-750, category level 3 with numbers 750-1000, and category level 4 with numbers higher than 1000. Detection of gas leaks in each valve takes about 13 seconds to detect leaking gas, send data to the website and provide output to the buzzer.
Sistem Pengering Daun Kelor Berbasis Internet of Things dan Artificial Intteligence I wayan Sudiarsa; Putu Sugiartawan; I Gede Iwan Sudipa; Ni Made Maharianingsih; I Kadek Adiana Putra
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 13, No 2 (2023): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.89823

Abstract

Drying Moringa leaves is needed to reduce the water content so that the Moringa leaves become fresh and can be used for the following process. Drying Moringa leaves to change the water content from 80% to 9.2% requires ideal heating conditions because the heating speed must not damage the nutritional content in the leaves. Developing an existing drying system using IoT to monitor humidity and temperature to increase the drought stability of the Moringa leaves produced. By using IoT, it is hoped that drying conditions can be watched from anywhere and recorded so that if undesirable things happen, it will be easier to track the history of the drying process that has taken place. This system is also connected to a recommendation system using an Artificial Neural Network (ANN). This system will provide recommendations for the best conditions for Moringa flour production because various external factors influence the drying of Moringa leaves. Utilization of the ANN model can recognize data patterns in seasonal time series. The results of implementing the Moringa leaf drying machine can reduce the time by 120 minutes faster than the previous tool