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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Penelitian Ilmu komputer
Pradana, Reza
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management

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Sistem Rekomendasi Pemilihan Keramik Berbasis Android Menggunakan Metode Fuzzy MCDM dan SAW Pradana, Reza; Samsudin, S
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i2.635

Abstract

In this research, the author aims to investigate the selection of specific materials for flooring. Flooring is typically the part that requires the longest replacement time, thus careful planning is necessary when choosing the type or material of the floor to be used. The selection of flooring should consider functional aspects, aesthetics, user comfort, safety, and health for its occupants. Therefore, in this study, the researcher will develop a recommendation system for ceramic tile selection using the fuzzy MCDM and SAW methods with multiple criteria. The criteria used include space, area, price, quality, texture, and pattern. It is expected that this recommendation system can assist customers in recommending ceramic tile types according to their preferences and within their predetermined budget. The final results of the FMADM and SAW methods are represented by the final Score (V). The final score (V) represents the best decision choice from each ranking that has been inputted into the ceramic tile selection form. From Figure 4, it can be seen that the calculations where the recommendations for selecting ceramics ara Flatinum Cream Glossy ceramics
PERANCANGAN APLIKASI WEB PEMETAAN DATA WARGA BERBASIS ALGORITMA RANDOM FOREST UNTUK PREDIKSI KESEJAHTERAAN DI LINGKUNGAN RT 002 RW 012 Pradana, Reza
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 4 No. 1 (2026): Maret
Publisher : PT Triputra Sejahtera Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Residents' well-being is a crucial factor determining the quality of life in a community. Planning targeted socioeconomic development programs is essential to achieving equitable distribution of resident welfare. However, diverse socioeconomic conditions and the manual process of mapping welfare data present challenges for decision-making at the neighborhood association/Rukun Tetangga (RT) level. This research aims to design a web application based on the random forest algorithm capable of predicting the level of welfare of residents in RT 002 RW 012. The research method involved collecting data from various welfare indicators, which were analyzed using the random forest algorithm to generate a classification of residents' welfare levels. The results showed that the random forest algorithm was able to predict welfare levels with high accuracy, with a confusion matrix test result of 90.33%. Other tests, including cross-validation, achieved 95.83% accuracy., This research also resulted in a system to simplify the management of resident data and socioeconomic conditions. This system can assist neighborhood association/Rukun Tetangga (RT) administrators in making more effective and data-driven decision-making.
Co-Authors Samsudin, Samsudin