SISTEM FUZZY MENENTUKAN PREDIKSI PERSEDIAAN ALAT WIFI MENGGUNAKAN METODE TSUKAMOTO

Apriliya, Aning Tri (2023) SISTEM FUZZY MENENTUKAN PREDIKSI PERSEDIAAN ALAT WIFI MENGGUNAKAN METODE TSUKAMOTO. Skripsi (S1) thesis, Universitas Muhammadiyah Ponorogo.

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Abstract

Satisfying customer satisfaction is the most crucial aspect for WiFi installation service providers. In this context, the increasing demand for internet access among the public, along with a growing awareness of data usage needs, has spurred competition among several WiFi installation service providers, resulting in a scarcity of equipment. Therefore, calculations are needed to help predict the required quantity of equipment. This research is conducted to forecast the inventory levels based on data from 2021-2022 using the Fuzzy Tsukamoto Method. This prediction system yields consistent calculations with manual computations, thus assisting companies in determining the quantity of equipment needed for WiFi installation. The result of this study is a web-based inventory prediction system. From this research, it can be concluded that a prediction system for determining the quantity of WiFi equipment using the Tsukamoto fuzzy inference system produces results as designed to provide recommendations for decision-making on inventory levels.

Item Type:	Thesis (Skripsi (S1))
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering
Depositing User:	ft . userft
Date Deposited:	04 Sep 2023 07:17
Last Modified:	24 Jan 2025 02:35
URI:	https://eprints.umpo.ac.id/id/eprint/12227

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