Electrical energy is one of the basic needs in life today, but in its utilization, several problems can cause losses in the electricity system, one of the causes is nontechnical shrinkage that often occurs on the customer's side in the form of electricity theft. Therefore, innovation is carried out using IoT (Internet of Things) to easily check the parameters of electricity magnitude. In this study, a stage of collecting parameters of the amount of electricity was proposed. The electric power observation method uses a voltage sensor (ZMPT101B) and a current sensor (SCT-013-000). Arduino Nano microcontrollers are used in measurement systems and the Wemos D1 Mini is used as a link to internet connections over Wi-Fi networks. Measurement data is sent and stored in the MySQL Database in the form of a data logger. The media used is a Website-based GUI. The results showed that remote monitoring using a GUI can be done, where this tool can send parameters of electricity measurement to the GUI a period of every 10 minutes.

One of the roles of humans in community empowerment activities is in the health sector. Community empowerment in this field can be carried out through efforts to improve community health by utilizing family medicinal plants. The purpose of using family medicinal plants is so that the community can preserve these plants, reduce hospital costs, and serve as access to first aid for health if health services are difficult to reach. Based on this explanation, to increase public knowledge and understanding of the types of Toga and its benefits as a medicinal ingredient, it can be done several ways. One of them is through an in-depth learning approach. The deep learning approach with Siamese Neural Network is by comparing two patterns and producing an appropriate output based on the similarity of the two patterns. The application of Siamese Neural Network with an Android Smartphone is the right choice because it can facilitate the community in terms of usage. Based on these problems, the writer wants to build an application that can identify plants based on Android-based leaf images by applying the Siamese Neural Network approach. In this study, the results achieved were that the Siamese Neural Network could be implemented on Android-based smartphones. The application was able to identify family medicinal plants based on leaves.

Energi listrik merupakan salah satu kebutuhan pokok dalam kehidupan saat ini, namun dalam pemanfaatannya, terdapat beberapa permasalahan yang dapat menyebabkan kerugian di dalam sistem ketenagalistrikan, salah satu penyebabnya adalah penyusutan nonteknis yang sering terjadi pada sisi pelanggan berupa pencurian listrik. Oleh karena itu dilakukan sebuah inovasi menggunakan IoT (Internet of Things) agar dapat mudah memonitoring parameter besaran listrik. Pada penelitian ini diajukan suatu tahapan pengumpulan parameter besaran listrik. Metode pengamatan daya listrik menggunakan sensor tegangan (ZMPT101B) dan sensor arus (SCT-013-000). Mikrokontroler Arduino Nano digunakan pada sistem pengukuran dan Wemos D1 Mini digunakan sebagai penghubung dengan koneksi internet melalui jaringan Wi-Fi. Data hasil pengukuran dikirim dan disimpan ke Database MySQL dalam bentuk data logger. Adapun media yang digunakan adalah GUI berbasis Website. Hasil penelitian menunjukkan bahwa monitoring jarak jauh menggunakan GUI dapat dilakukan, dimana alat ini dapat mengirim parameter pengukuran besaran listrik tegangan, arus, daya aktif, power faktor juga perhitungan konsumsi energi dan biaya penggunaan listrik ke GUI dengan periode setiap 10 menit sekali.