eprintid: 3660
rev_number: 11
eprint_status: archive
userid: 46
dir: disk0/00/00/36/60
datestamp: 2022-08-31 04:10:08
lastmod: 2023-11-06 03:38:54
status_changed: 2023-11-06 03:38:54
type: thesis
metadata_visibility: show
creators_name: Subastian, Defri
creators_NPM: 065114459
creators_id: defrisubastian9@gmail.com
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_type: http://www.loc.gov/loc.terms/relators/THS
corp_creators: Universitas Pakuan
corp_creators: Fakultas MIPA
corp_creators: Ilmu Komputer
title: SISTEM PAKAR DIAGNOSA TINGKAT KECANDUAN MEDIA SOSIAL PADA REMAJA MENGGUNAKAN FORWARD CHAINING
ispublished: pub
subjects: QK
divisions: sch_ecs
full_text_status: none
abstract: ABSTRACT
The rapid development of technology makes it easier for humans to overcome various problems, in making decisions or even forecasting what will happen in the future with references to valid and previously existing data. Forecasting is data in the past that is used for estimating future data. The forecasting process is used to help achieve an optimal, systematic and accountable decision. Forecasting becomes a method and tool by management that is an integral part of the decision-making process. Forecasting has a direct role on external events that are usually beyond management control such as Economy, Customers, Competitors, Government, Psychology and so on. The development that will be carried out is expert system for diagnosing the level of social media addiction in adolescents using Forward Chaining.
Keywords: Expert System, Social Media, Forward Chaining
date: 2019-11
date_type: published
institution: Universitas Pakuan
department: Ilmu Komputer
thesis_type: Skripsi
thesis_name: Sarjana
citation:   Subastian, Defri  (2019) SISTEM PAKAR DIAGNOSA TINGKAT KECANDUAN MEDIA SOSIAL PADA REMAJA MENGGUNAKAN FORWARD CHAINING.  Skripsi thesis, Universitas Pakuan.