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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Technology and Computer Science
Primananda , Rakhmadhany
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Multihop Routing Implementation On Fire And Gas Leakage Detection System Mulia, Benediktus Kevin; Ichsan, Mochammad Hannats Hanafi; Primananda , Rakhmadhany
Journal of Information Technology and Computer Science Vol. 7 No. 2: August 2022
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.72449

Abstract

Fires in the house occur due to several things, such as an electrical short circuit, and another cause is a gas leak from the LPG cylinder. This fire is caused by a lack of security in the house and public knowledge, the dangers of gas levels leaking from LPG gas cylinders, the presence of small fires, and temperatures too high due to these. Fire detectors and LPG gas leaks are provided in the home environment. This detection includes preventive efforts before a fire occurs and can be extinguished immediately. The method of the fire and gas leak detection prototype using the MQ-6 sensor, fire sensor and DHT-22 temperature sensor is multihop routing. This method was chosen because of the large number of sensors used, and in this prototype, there will be five sensor nodes and one sink node. With multihop routing, the prototype of this tool can be placed in various places and is faster in detecting fires if they occur in homes. This method is also used because it can send detection results from one sensor node to the sink node to the website database and the delivery time between these nodes is very short so that fires can be prevented and handled quickly. The test results of the fire sensor used to detect fire obtained an accuracy of 100%, and the detection distance of the fire was between 20 to 100 cm. In data transmission, the number of nodes is 5. The data delivery result is the closest to the end node, the more considerable the amount of data sent, increasing relatively, from around 3017 milliseconds to 575387 milliseconds.
Rancang Bangun Sistem Takaran Otomatis Biji Kopi Blend (Arabika Dan Robusta) Pada Mesin Grinder Kopi Berbasis Load Cell Pada Arduino Ghifary, Naufal Mohamad; Primananda , Rakhmadhany; Setiawan, Eko
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 4: Agustus 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.124

Abstract

Kopi blend adalah seni campuran biji kopi yang berbeda, menciptakan rasa dan karakter yang unik. Tujuan dari pembuatan kopi blend adalah menciptakan blend adalah menghasilkan kopi dengan rasa yang seimbang dan kompleks, menggabungkan berbagai elemen seperti keasaman, kelembutan, dan cita rasa yang unik dari masing-masing biji. Mencampur kopi blend (arabika dan robusta) perlu diperhatikan komposisi atau formula yang sesuai sehingga kualitas seduhan yang diinginkan tersebut dapat terpenuhi. Oleh karena itu, pada penelitian ini dibuat sistem takaran otomatis biji kopi blend pada mesin grinder kopi berdasarkan preferensi pelanggan. Sistem takaran otomatis menggunakan load cell sebagai menimbang atau menakar biji kopi blend (arabika dan robusta) sesuai dengan takaran keinginan pelanggan. Motor servo akan bergerak untuk mengirim biji kopi menuju ke proses penggilingan pada mesin grinder kopi. Sistem ini juga dilengkapi LCD dan push button untuk interaksi sistem dengan pengguna. Sistem ini mendapatkan rata-rata error yaitu 1.42 % pada load cell 1 sedangkan pada load cell 2 memiliki rata-rata error yaitu 2.21 %. Nilai kesalahan error pada penakaran pada biji kopi mendapat 3.7% pada servo 1 dan 5.904% pada servo 2 dengan berat maksimal yang dapat ditampung oleh wadah yaitu 30 gram. Sistem ini dapat menangani takaran biji kopi sesuai dengan permintaan user dengan kesalahan nilai error yang rendah sehingga menghasilkan kopi blend sesuai dengan keinginan.   Abstract Coffee blend is the art of mixing different coffee beans to create a unique flavor and character. The goal of creating a coffee blend is to produce coffee with a balanced and complex taste, combining various elements such as acidity, smoothness, and unique flavors from each bean. When mixing coffee blends (Arabica and Robusta), it is important to consider the appropriate composition or formula so that the desired brew quality can be achieved. Therefore, in this study, an automatic coffee blend dosing system was developed for a coffee grinder machine based on customer preferences. The automatic dosing system uses a load cell to weigh or measure coffee beans (Arabica and Robusta) according to the desired proportion set by the customer. A servo motor will move to deliver the coffee beans to the grinding process in the coffee grinder machine. This system is also equipped with an LCD and push button for user interaction with the system. The system has an average error of 1.42% on load cell 1, while load cell 2 has an average error of 2.21%. The error rate in measuring coffee beans is 3.7% on servo 1 and 5.904% on servo 2, with a maximum weight capacity of 30 grams in the container. This system can handle coffee bean measurements according to user requests with a low error rate, resulting in coffee blends that meet user preferences.
Co-Authors Eko Setiawan Ghifary, Naufal Mohamad Mochammad Hannats Hanafi Ichsan Mulia, Benediktus Kevin