: IoT technology has been widely applied in everyday life. IoT technology has been applied to smart home, smart city, and several supporting applications implemented by IoT technology. IoT technology can also be applied in hobby of keeping fish. The aquarium system that is sold in the market today is an ordinary aquarium. The aquarium system on the market today is already interesting, with a collection of plants and fish in the aquarium, but the problems that occur if the aquarium is stored in the house will be less to the needs of sunlight. Sometimes the lights that have a diaquarium are not adapted to the needs of plants or fish in the aquarium. Another problem is the provision of fish feed that is still manual. Sometimes aquarium owners must provide fish feed manually at least once a day. This is very troublesome if the owner of the aquarium has a very high activity, so the risk of forgetting to feed fish is very high. To overcome the problems mentioned above, it is necessary to have an aquarium system that is eyecatching and completely automated, both in terms of lighting and aspects of fish feeding. A smart aquarium system that can accommodate aquarium hobbyists with all the activities owned by aquarium owners. In this paper, we designed a new smart aquarium system using IoT devices
The government in the world through constitution and ministry establish a law to develop and strengthen the economic system; one of the laws regard education and industrialization. The part of education types which is close with industries are vocational schools and universities. Each university is encouraged to enhance collaboration with industry through a lot of effort. However, the crucial component to actuate collaboration in education viewpoint is the provision of the proponent facilities. Qualitative research was conducted through interviews to collect the data, and grounded theory was used to analyze the data. The six months internship, research collaboration on-job training establishes facilitators i.e. a person who facilitates cooperation effectively.
Penelitian pengembangan ini bertujuan untuk: (1) mengembangkan model tes minat dan bakat dengan metode jaringan syaraf tiruan; (2) memperoleh hasil uji fungsionalitas tes minat dan bakat yang dikembangkan dengan model Jaringan Syaraf Tiruan (JST); dan (3) memperoleh hasil unjuk kerja dari pengujian tes minat dan bakat dengan model jaringan syaraf tiruan untuk memprediksi potensi siswa bidang robotika. Penelitian ini merupakan penelitian dan pengembangan. Subjek uji coba dibagi menjadi dua, uji coba secara terbatas pada 10 siswa dan uji coba secara luas sebanyak 31 siswa. Hasil dari penelitian pengembangan ini adalah: (1) keberhasilan produk yang dikembangkan dengan beberapa spesifikasi model yaitu; (a) JST dibangun dengan struktur single layer, jawaban tes sebagai masukan dan kesimpulan hasil tes sebagai keluaran; (b) Model pembelajaran JST menggunakan metode perceptron dengan model aktifasi pada JST menggunakan model bipolar (symmetric hard limit); (2) Proses pembelajaran secara terbimbing dengan 10 pola mendapatkan bobot yang dapat membedakan 10 pola dengan tepat, berdasar pengujian secara terbalik. (3) Pengujian secara luas menunjukan produk yang dibangun mampu memprediksi potensi siswa dalam bidang robotika, dengan membedakan 31 pola hasil tes siswa yang berbeda dengan menggunakan bobot yang didapat dari 10 pola pembelajaran.
Artificial Neural Network (ANN’s) was developed continuously and applied to each smart technology. The developing smart tests are continuous with ANN’s possibility applied to increase efficiencies and time of decides. The Predictive Test was developed using the Smart Algorithm with the possibility of ANN to apply. Assessments of ANN implementation have been carried out based on a study in past time. The systematic literature review was used to found possibility implementation ANN’s in the predictive test and combined with the study case. The result showed as ANN’s could implement in the predictive test that used big data inputs. In addition, ANN’s can be implantation on the predictive test such as education predictive test, talent and aptitude test or psychological test.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.