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All Journal Jurnal Inovatif Wira Wacana AMMA : Jurnal Pengabdian Masyarakat
Reynaldi Thimotius Abineno
Universitas Kristen Wira Wacana Sumba
Humanities Chemistry Computer Science & IT Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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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.
Pelatihan Sistem Informasi Manajemen Induk Sinode GKS Fajar Hariadi; Arini Aha Pekuwali; Yustina Rada; Desy Asnath Sitaniapessy; Rambu Yetti Kalaway; Raynesta Mikaela Indri Malo; Itha Priyasthiti; Pingky Alfa Ray Leo Lede; Reynaldi Thimotius Abineno; Leonard Marten Doni Ratu; Ferdian Fendi Djami; Umbu Theofilus Dendimara; Demaris Lemba Oy; Papy Rivandi Bara; Trisari D. N. B. Mira; Riwa Rambu Hada Enda
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 : Juli (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Training on the Sistem Informasi Manajemen Induk Sinode GKS was conducted as part of the digitalization initiative for congregation and financial data management within Gereja Kristen Sumba (GKS), under the auspices of Sinode GKS. The training was attended by 83 participants, consisting of secretaries, church council working bodies, and treasurers responsible for managing congregation data as well as financial administration and reporting in GKS churches under the Sinode.  User evaluations (on a scale of 1 to 5) of the Sistem Informasi Manajemen Induk Sinode GKS (Simanis V.2) yielded a score of 3.95 for the congregation data management feature and 3.47 for the financial management feature. These results indicate that both the training and the Simanis application have supported the churches' needs in managing congregation and financial data, although improvements to certain features are still necessary.
Co-Authors Arini Aha Pekuwali Demaris Lemba Oy Desy Asnath Sitaniapessy Fajar Hariadi Ferdian Fendi Djami Itha Priyasthiti Lede, Pingky Alfa Leonard Marten Doni Ratu Leonard Marten Doni Ratu Papy Rivandi Bara Rambu Yetti Kalaway Raynesta Mikaela Indri Malo Riwa Rambu Hada Endah Trisari D. N. B. Mira Umbu Theofilus Dendimara Yustina Rada