Article Per Year (5 Year)
p-Index From 2020 - 2025
1.745
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Journal Of Informatics And Busisnes JTH: Journal of Technology and Health Jurnal Penelitian Teknologi Informasi dan Sains Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Alexander Adis
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Nursing

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam

 1 
Implementasi Metode Fuzzy untuk Klasifikasi Tingkat Kesejahteraan Keluarga di Kecamatan Loura Yunita Ngongo; Andreas Ariyanto Rangga; Alexander Adis
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 2 No. 6 (2024): November : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v2i6.254

Abstract

Achieving financial stability for the family is a goal that everyone has. The family is the most significant foundation for the growth of human life in Indonesia. The first and most important living environment where the personality that shapes a person's life is created is the family. The development of moral values, social justice, humanity, and religion is essentially a process decided by the family. The family is the first and main social structure that plays an important role in providing life values ​​to children who are growing and developing so that they can find purpose in their life journey. The classification of family welfare according to population data owned by the village government is the aim of this study. Based on the results of the study, fuzzy logic and the Tahani model can be used to process population data according to the level of family welfare, resulting in output in the form of family classifications such as prosperous, poor, and underprivileged families. To assess the effectiveness of incorporating fuzzy logic into the program being developed, the fuzzyTECH application is also used to test the program subdistrict.
Co-Authors Adelbertus Umbu Janga Andreas Ariyanto Rangga dama nuna, ersita Elfira Umar Elfrida Susanti Tanggu Friska Priskila Wanda Gergorius Kopong Pati Margaretha Inya Tuku Marlince Saingo Paulina Indriani Mori Uma Seselia Soli Lede Siska Kahi Ninda Sofia Dada Gole Sovia Umbu Yulius Nahak Tetik Yunita Ngongo