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Bananas are one of the largest horticultural commodities in Indonesia because in each region of Indonesia there are different types of bananas. Bananas are climacteric because they will feel the experience even though they have been harvested. Currently, the introduction of banana ripeness is still done in a conventional way by utilizing sight and smell. However, this method is not effective in determining fruit maturity because we cannot distinguish between ripe bananas and bananas that are in the early stages because they have almost the same color and aroma. So a system is designed that resembles the human sense of smell to accurately identify the level of ripeness of the fruit. The system is named Electronic Nose or abbreviated as e-Nose. The design of the e-Nose will be done using the Artificial Neural Network Backpropagation method. The results obtained from the application of E-Nose to detect the level of ripeness of bananas with the Artificial Neural Network Backpropagation method, which is a tool capable of predicting the ripeness condition of the bananas being tested so that accurate predictions are obtained and the prediction results are displayed on the website. The accuracy results obtained from the use of the Backpropagation Neural Network method for 3 categories (immature bananas, ripe bananas, and rotten bananas) are 100%, with an epoch of 2000.

Sebelumnya penjualan dan penawaran jasa hanya dilakukan secara langsung, yang tentunya ini membuat konsumen merasa kurang berminat, karena harus menguras tenaga pergi ketempat orang yang buka jasa. Dari permasalahan ini maka dikembangkan sebuah system mengenai transaksi jasa dengan basis Application Programming Interface (API) sebagai backend dan diimplementasikan ke mobile android sebagai frontend. Dalam tugas akhir ini mengasilkan sistem berbasis API dengan arsitektur REST dari segi backend untuk memudahkan dalam proses transaksi jasa dan diterapkan pada aplikasi android sebagai antarmuka pengguna

Handling of network problems at Dinas Komunikasi dan Informatika Kota Padang is still done conventionally. This conventional method has several weaknesses, among others: the process of finding out slow network problems, information on problematic network conditions is conveyed using voice calls from smartphones, the slow network checking process and inefficient use of time. From this problem, a system for network handling that utilizes information technology is developed called Network Monitoring by implementing the Cacti and Telegram software functions. The result of this research is a network monitoring system based on web browser and mobile by implementing Cacti with SNMP features as network monitoring and Telegram as notification. The aim is to reduce weaknesses in the handling and repair of the network that has been used in Dinas Komunikasi dan Informatika Kota Padang