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Journal : The Indonesian Journal of Computer Science

Sistem Kontrol Menghidupkan Lampu Otomatis Menggunakan Sensor Suara FC-04 Berbasis Arduino Uno Chairil, Slamet; Teuku Radillah; Satria, Budy
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3121

Abstract

The problem that often occurs is forgetting to turn off the lights when you want to leave because you are in a hurry, as a result the lights stay on and there is a waste of electricity. This research was conducted with the aim of designing an Automatic Light Turning Control System Using the FC-04 Sound Sensor Based on Arduino Uno. When the Sound Sensor FC-04 detects the input of two hands clapping, the relay will give current to the light object so that it turns on automatically. The results of the tests that have been carried out are that the Arduino Uno Microcontroller works well for processing data. Testing the FC-04 Sound Sensor with a distance of 50-200 cm from the input in the form of the sound of applause causes the light to turn on as an output that the sensor functions to detect vibration frequency waves. In addition, the relay device also works well as a regulator of the electric power supply for the lamp so that the lamp can turn on or on. So that this tool can help humans turn off the lights so they no longer have to move closer to the lights and press existing buttons to be able to turn on or turn off the lights, but can be controlled through voice commands of applause.
Implementasi Sistem Pendukung Keputusan Menggunakan Algoritma MOORA untuk Pemilihan Jenis Bibit Cabai Unggul Al Akbar, Abdussalam; Yasin, Alimuddin; Alex Rizky Saputra; Sepriano; Siregar, Ratu Mutiara; Budy Satria; Elfitra
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3464

Abstract

Cultivating chili plants is a business opportunity that has quite a large income. However, many farmers still use traditional concepts in determining which seeds to plant, such as trying out chili seeds without carrying out in-depth analysis or observation. A decision support system (DSS) is a system that is capable of providing decision recommendations using several criteria determined through method processes in the decision making system, namely ARAS, SAW, MOORA, AHP and others. The MOORA method is useful for separating the subjective part of an evaluation process into a decision weight criterion with several decision making attributes. And also the level of selectivity of this method is very good because it can determine objectives from conflicting criteria. Where the criteria can be profitable (benefit) or unprofitable (cost). Based on the results obtained after using the MOORA calculation method, there are 4 types of superior seed varieties that can be recommended for farmers, namely Taro Chili Seeds = 0.2875; Indrapura Chili Seeds = 0.2595 ; Lado Chili Seeds = 0.2490 ; Chili Seeds TM = 0.2154. By creating this decision support system, it is hoped that farmers will be able to use it as a reference in selecting superior chili seeds and be able to get maximum harvest results and increase commodity income for chili farmers.