fajarlaksono Goto Github PK

belajar-cpp

Belajar Bahasa Pemrograman C/C++

cop3530-catch2-demo

crypto-reference

Open repository of cryptography code and reference for reverse engineer purpose.

fabelio-product-monitor

fajarlaksono.github.io

Hello world

gnc1

goweb

Yes

laravel

A PHP framework for web artisans

my-lms-laravel

Learning Management System - Project Tugas Akhir

peminjamanuang-vb6

Program peminjaman uang, program ini ditujukan untuk kasir dari organisasi peminjaman uang.

project-based-tutorials-in-c

A curated list of project-based tutorials in C

rentalmobil-vb6

sistem-pakar-diagnosis-kerusakan-vb6

Sistem Pakar Diagnosis kerusakan

spk-ahp-vb.net

Sistem Penunjang keputusan menggunakan metode AHP

topsis

It is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. An assumption of TOPSIS is that the criteria are monotonically increasing or decreasing. Normalisation is usually required as the parameters or criteria are often of incongruous dimensions in multi-criteria problems. Compensatory methods such as TOPSIS allow trade-offs between criteria, where a poor result in one criterion can be negated by a good result in another criterion. This provides a more realistic form of modelling than non-compensatory methods, which include or exclude alternative solutions based on hard cut-offs. An example of application on nuclear power plants is provided in. Read more : https://en.wikipedia.org/wiki/TOPSIS