Smartphone Recommendations Based on Specifications Using Fuzzy Tahani

Technology has become an integral part of people's lives, especially smartphones. Smartphones are needed nowadays because of their very complete functions and features. Due to the large number of users, manufacturers compete to create smartphones with various features and prices. Often, the large number of cell phones available makes users confused about choosing a smartphone. So calculations and comparisons are needed from various sides so that users don't make the wrong choice. Therefore, this research proposes a method of calculating and comparing smartphones based on fuzzy logic with the resistance method through a system created by researchers. These calculations and recommendations rely on information from market demand through researchers who are also smartphone market players, so they can provide recommendations that are quite accurate and by conditions that often occur in the market. With this recommendation system, users can easily search for the cellphone they want, coupled with the fuzzy logic calculation method, which makes this system's calculations more accurate, thereby preventing user choice errors. With this, users also get a comparison of recommendations that will help them choose the smartphone they want.

Authors

Institutions

Publication Details

Journal
Jurnal Media Informasi Teknologi
Published
2025-02-06
DOI
https://doi.org/10.69616/mit.v2i1.210
Citations
5
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
3.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smartphone Recommendations Based on Specifications Using Fuzzy Tahani

Fhatiah Adiba, Moehammad Awaluddin, Zul Qadri, Muh. Alfi Maolani et al.
5 citations
Jurnal Media Informasi Teknologi
IoT-based Smart Home Systems
3.65
article

Smartphone Recommendations Based on Specifications Using Fuzzy Tahani

Fhatiah Adiba, Moehammad Awaluddin, Zul Qadri, Muh. Alfi Maolani, Asmaul Husna Nasurullah
article en
5 citations

Abstract

Technology has become an integral part of people's lives, especially smartphones. Smartphones are needed nowadays because of their very complete functions and features. Due to the large number of users, manufacturers compete to create smartphones with various features and prices. Often, the large number of cell phones available makes users confused about choosing a smartphone. So calculations and comparisons are needed from various sides so that users don't make the wrong choice. Therefore, this research proposes a method of calculating and comparing smartphones based on fuzzy logic with the resistance method through a system created by researchers. These calculations and recommendations rely on information from market demand through researchers who are also smartphone market players, so they can provide recommendations that are quite accurate and by conditions that often occur in the market. With this recommendation system, users can easily search for the cellphone they want, coupled with the fuzzy logic calculation method, which makes this system's calculations more accurate, thereby preventing user choice errors. With this, users also get a comparison of recommendations that will help them choose the smartphone they want.

Jurnal Media Informasi TeknologiVol. 2(1)
State University of Makassar (ID)
Openalex Percentile: Top 8%
IoT-based Smart Home Systems
3.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Smartphone Recommendations Based on Specifications Using Fuzzy Tahani — Fhatiah Adiba, Moehammad Awaluddin, et al. · Jurnal Media Informasi Teknologi (2025) | TGRS Research Map | TGRS