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Kevin Christian
Program Studi Teknik Informatika, Universitas Kristen Petra Surabaya
Computer Science & IT

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Alarm Sensor Temperatur Untuk Ruang Pendingin Menggunakan IoT Kevin Christian; Silvia Rostianingsih; Resmana Lim
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Technological advances are so fast that all activities use computers, making it easier for users to carry out daily activities. With conditions that are increasingly advanced and developing so that the idea is created to connect hardware and software technology that helps in the daily activities of the wider community. Currently, many raw materials and food ingredients are stored in the Refrigeration Room. One example of a Cooling Room is a refrigerator freezer. Refrigeration Room is widely used to store raw food ingredients.For this reason, to make it easier to monitor the temperature in the Cooling Room, an Android Application that is connected using IoT is made with a Temperature Sensor in the Cooling Room.The test results show that the process of monitoring the Cooling Room through IoT and Android Applications can be done easily and quickly with accurate results.
Sistem Pakar Diagnosa Penyakit Ikan Arwana dengan Menentukan Tingkat Kualitas Air Menggunakan Forward Chaining dan Simple Additive Weighting Kevin Christian; Djoni Haryadi Setiabudi; Hans Juwiantho
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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arwana fish always has its own charm for the people of Indonesia, as well as foreign countries. But every living thing must have been stricken with disease, including the arwana fish itself. Diseases in arwana are often not well identified by hobbyists and beginners because there are many parameters that must be considered. One of the problems in identifying arwana disease is the problem of the suitability of water parameters with arwana fish.            This expert system is equipped with Forward Chaining and Simple Additive Weighting methods. Forward Chaining allows the expert system to ask only the questions it needs. Simple Additive Weighting is used to determine the level of suitability of parameters in arwana fish. This method allows us to determine whether the water quality is suitable for the arwana fish by performing calculations based on the weight of the water parameters quickly.Tests were carried out by 2 experts on 20 arwana fish. The test results on the expert system for diagnosing arwana fish disease obtained an accuracy level of conformity with the expert with an accuracy value of 95%.
Co-Authors Djoni Haryadi Setiabudi Hans Juwiantho Resmana Lim Silvia Rostianingsih