Nowadays, the e-commerce industry in Indonesia is growing substantially and expanding annually. This is one of the revolutions that has affected various aspects of life, including animal husbandry. In Indonesia, buying and selling livestock has become routine; however, it is still conducted conventionally. Therefore, a system is required to facilitate online purchasing and selling transactions; thus, farmers can expand their enterprises. This study aimed to develop a mobile application for the online purchase and sale of livestock. The Caribi Mobile Application is built with a system that can provide consumers with accurate information by recording the tracks of each animal that will be sold. Each animal’s age, weight, and recent pictures are included. Tag RFID-based Internet of Things (IoT) system is used in searching for mobile applications. The RFID Tag System is used to carry out two functions at once, namely assistance and security. This application is designed to integrate livestock data from the internet and save it in a database. This study’s findings demonstrate that the system can read the data related to each farm animal. Additionally, the system has created data on the weights of each animal, which anyone with access to the Caribi Mobile Application can view.
Wirausaha merupakan salah satu solusi penunjang pekerjaan dalam memenuhi kebutuhan hidup. Salah satu jenis wirausaha yang populer dilakukan di Indonesia adalah budidaya ikan. Permasalahan yang sering terjadi yaitu dengan minimnya modal, kita tidak dapat membayar upah pekerja untuk budidaya ikan selagi kita sibuk dengan jam kerja di kantor. Pakan merupakan salah satu faktor yang perlu diperhatikan dalam budidaya ikan. Pemberian pakan yang tepat akan menentukan keberhasilan budidaya ikan. Pada tugas akhir ini dihasilkan sebuah sistem yang mampu memberikan pakan ikan secara otomatis dengan perintah yang disampaikan melalui SMS. Sistem ini terdiri dari bagian input, proses dan output. Bagian input yaitu Wavecom M1306b, Bagian output terdiri dari motor DC dan Wavecom M1306b sedangkan pemrosesan data menggunakan Mikrokontroler ATmega8535. Ketika Wavecom menerima SMS, kemudian perintah akan disampaikan ke Mikrokontroler untuk diproses. Jika format sesuai, Mikrokontroler akan mengirim perintah untuk menggerakan motor DC, selanjutnya Mikrokontroler akan memerintahkan Wavecom untuk membalas SMS sebagai konfirmasi telah dijalankanya printah tersebut. Namun ketika format SMS yang dikirim tidak sesuai, maka SMS akan dibalas “Format Salah”. Dari hasil pengujian yang dilakukan sistem ini dapat bekerja sesuai dengan spesifikasi perancangan.
Load pattern for holiday have significant differenct from weekday day, so that require special prediction. This research have purpose to test the performance feed forward backpropagation to know accuracy level of load forecasting for holiday anomalous load. Learning algorithm used feed forward backpropagation from artificial neural network with matlab. Load forecasting optimization is change learning rate and some of learning input. The reasult of this reasult showed learning input give best reasult on mean but difference from that value is small, so learning rate variation small affected at learning
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.