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All Journal Jurnal Inovatif Wira Wacana
Reynaldi Thimotius Abineno
Universitas Kristen Wira Wacana Sumba
Computer Science & IT Electrical & Electronics Engineering Engineering

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Enterprise architecture design using TOGAF at the health center Reynaldi Thimotius Abineno; Leonard Marten Doni Ratu
JURNAL TEKNIK INFORMATIKA INOVATIF WIRA WACANA Vol 1 No 3 (2022): Desember 2022
Publisher : Universitas Kristen Wira Wacana Sumba

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.995 KB) | DOI: 10.58300/inovatif-wira-wacana.v1i3.436

Abstract

Puskesmas is one of the facilities provided by the government in providing services in the health sector for the community in an effort to improve people's welfare. the assisted manulai II health center is one of the health centers located in the Alak district, Kupang City, East Nusa Tenggara province. the puskesmas has not yet implemented ICT so everything is still done manually. technology and information are developing so fast, to improve services at related health centers it is very important to design and plan enterprise architecture through strategies and developments in the health sector. this study will produce a blueprint as an illustration for its application to the puskesmas.
Time Series Forecasting Covid 19 in Indonesia with a Perceptron Multilayer Neural Network Reynaldi Thimotius Abineno
JURNAL TEKNIK INFORMATIKA INOVATIF WIRA WACANA Vol 2 No 1 (2023): April 2023
Publisher : Universitas Kristen Wira Wacana Sumba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58300/inovatif-wira-wacana.v2i1.624

Abstract

Covid 19, which was first discovered in Wuhan, China, spread so rapidly throughout the world in early 2020 to date, according to data to date, the death rate due to Covid 19 has reached 1,338,100 people from a total of 55,624,562 positive cases worldwide. Prevention needs to be done to inhibit the rate of positive cases of Covid which are still increasing today. one of the efforts that can be done is to make predictions or forecasts. In this study, prediction or forecasting of positive cases of Covid will be carried out using time series data in the last few months using the backpropagation neural network method or multi-layer perceptron modeling to produce predictions with fairly good accuracy.
Co-Authors Leonard Marten Doni Ratu