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Sistem Pendukung Keputusan Penentuan Kelayakan Pensiunan Pegawai ASN dengan Model MADM
Arnoldus Lamber Gai
; Cecilia D.P.B Gabriel
; Agustina Purnami Setiawi
Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Vol 3
, No 1
(2025)
Decision Support System (DSS) is a system used to assist decision makers in determining the best alternative based on certain criteria. Determining retirement eligibility for ASN (State Civil Apparatus) employees is one of the important aspects in human resource management, where this decision affects the future of employee careers, their welfare, and state budget management. This study proposes the development of a decision support system for determining retirement eligibility for ASN employees...
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Sistem Pakar Mendiagnosa Penyakit pada Ikan Nila dengan Metode Vcirs
Yuliana Sera Bora
; Cecilia D.P.B Gabriel
; Maria Wilda Malo
Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Vol 3
, No 1
(2025)
An expert system for diagnosing diseases in tilapia is one solution to help fish farmers detect and treat diseases that attack tilapia. In this study, an expert system was developed using the VCIRS (Voting Classifier for Integrated Rule Set) method to diagnose tilapia diseases based on the symptoms shown. The VCIRS method was chosen because of its ability to combine several classifiers to improve diagnostic accuracy. This system allows users, especially fish farmers, to enter symptoms observed i...
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Jaringan Saraf Tiruan untuk Memprediksi Jumlah Pertumbuhan Penduduk di Dinas Kependudukan dan Pencatatan Sipil Kabupate Sumba Barat Daya
Rolan Semis Dangga
; Cecilia D.P.B Gabriel
; Karolus Wulla Rato
Jurnal Sistem Informasi dan Ilmu Komputer
Vol 2
, No 4
(2024)
The purpose of this research is to create a JST (artificial neural network) model that can forecast population growth at the Population and Civil Registration Office of West Sumba Regency. population growth at the Population and Civil Registration Office of West Sumba Regency. Regency. Regional development planning must consider the increasing number of population, therefore proper forecasting is essential to encourage sustainable policies and initiatives. sustainable policies and initiatives. B...
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Klasifikasi Penyakit Demam Berdarah Dengue dengan Menggunakan Algortima K-Mens
Fredi Gaji
; Cecilia D.P.B Gabriel
; Karolus Wulla Rato
Jurnal Sistem Informasi dan Ilmu Komputer
Vol 2
, No 4
(2024)
Dengue fever (DHF) is an infectious disease caused by the dengue virus and transmitted through the bite of the Aedes aegypti mosquito. This disease is a major health problem in many tropical countries, including Indonesia. Identification and classification of DHF patients is very important to prevent further spread and to provide appropriate medical treatment. In this study, the classification of DHF disease is carried out using the K-Means algorithm, which is one of the methods in machine learn...
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