An android-based start-up app for self-agriculture and food

Several sectors, including technology, influence the need for food to date. Global heating conditions also impact the existing food system since poor agricultural conditions reduce farm product output and increase famine risk. As cybernated start-ups develop, it enables multiple parties to develop start-ups in farming and food sectors. This study aims to develop a self-agriculture and food start-up app based on Android OS. This application allows each user to prepare and commercialise food items autonomously. The system is intended to encourage individuals to perform tasks such as cultivating and selling harvests, purchasing dietary commodities, and monitoring current microclimate circumstances

Recent progress on artificial intelligence application for COVID-19 monitoring and mitigation system in Indonesia

COVID-19 is a serious public health issue in the world. The spread of COVID-19 has gone global. Indonesia is a country with a high rate of infectious cases worldwide. Multidisciplinary science also brings together to fight against COVID-19 in Indonesia. One of the important roles is artificial intelligence (AI). AI was also reported to help a vital role in public health. As a developing country, Indonesia also brings innovative AI approaches to help people with COVID-19, including classification, detection, diagnosis, prediction, telemedicine, and many more. This study elaborates the recent progress on AI application in Indonesia contributing to the fight against COVID-19 which has been reported in scientific papers/reports. Although research in this field is still not so developed, the existing innovations provide a new enthusiasm for public health and the benefits of the latest technology that can support human health, especially in facing a pandemic at Indonesia. It was found that there can be more research by utilizing AI approaches concerning public health and medicine in the future research work particularly in facing a pandemic condition

Struktur Analysis and Material Selection in Reactor and Condensers for Liquid Smoke Maker

Liquid smoke can be obtained by condensing or condensing biomass from the pyrolysis process . To make a liquid smoke device, an appropriate material is needed because the resulting liquid smoke will function as food preservation, especially for milkfish preservation. Therefore we need a suitable material so as not to affect the results of the liquid smoke. On the other hand, structural analysis is also needed to determine the strength of the material in this liquid smoke maker. The first method used is a qualitative method. This method is a computational method using software that has been developed by Ashby named CES Edupack. The second method is used for selecting the next material, quantitative method is a systematic method used to narrow the choice of material with themethod approachnbsp; digital logic. In the research results, the selected material is Stainless Steel 304 with specifications Thermal Conductivity: 16.2 (W / mK) Maximal Service Temperature: 750 (oC) Density: 8 (g / cc) Yield Strength: 215 (Mpa). With the analysis of the structure, namely the condenser maximum stress is 2x104 N / m2, for the Strain the value is 6.08x10-9 . for Displacement, it can be 3 x 10 -5 mm. The safety factoris 1 x 10 6. obtainedFor the tangential stress obtained is 11.05 N / m2. At the maximum strain reactor is 321 MPa, the strain resultingis 8x10-6 . For the displacement , the result is 0.09 mm. and the last is the safety factor , the result is 65. For the longitudinal stress that is produced is 1.65 N / m

Aplikasi Algoritma Dijkstra dalam Penyelesaian Berbagai Masalah

Dijkstra is a greedy algorithm that gives a choice of several available shortest routes and then provides a solution. The application of Dijkstra's Algorithm in everyday life is very diverse. This study collects research results regarding the application of Dijkstra's Algorithm to solve everyday problems such as the shortest path problem, this mini-review paper can explain the study of Dijkstra's Algorithm for various things, including solving bi-objective shortest routes, multi-objective routes, emergency evacuation, Dijkstra's graph, the connection between LBS features, best route distribution, and fuzzy solution