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All Journal Compiler Jurnal Penelitian Sistem Informasi
Maya Suhayati
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Computer Science & IT Decision Sciences, Operations Research & Management

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ANALISIS PERBANDINGAN METODE FUZZY INFERENSI SISTEM TSUKAMOTO DAN MAMDANI DALAM PENENTUAN ESTIMASI JUMLAH PRODUKSI GULA Widya Anggraeni Hadiyanti; Anton Setiawan Honggowibowo; Maya Suhayati
Compiler Vol 2, No 1 (2013): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1223.25 KB) | DOI: 10.28989/compiler.v2i1.42

Abstract

PT Madu Baru Yogyakarta s a company that produces sugar. Many factors must be considered in determining the mount o f production generated annually. For that, in determining the  mount of production per year required and analysis of decision support systems analysis will be done applying Method of Fuzzy Inference System Tsukamoto end Method Inference System Mamdani using the min as function o f its implications, the from each rule give nextplicitly (scrip) by the smallest degree of membership (Defuzzifikasi), the final result by applying a weighted average for Fuzzy Inference System defuzzyfikasi begins the composition rules between Max and the Method apllied taking the center point (z*) fuzzy area. With the comparison method of Fuzzy Inference System and Method of Fuzzy Inference System Mamdani, obtained the most appropriate methods and approaches in determining the estimated amount o f sugar production, in order to obtain an output that is the amount o f sugar per year.With statistical tests, it can be concluded that the method is relatively close to the calculation method of the factory is Tsukamoto, because the method o f Tsukamoto had a lower mean than the mean on the 7,960.42 Mamdani methods is 21710.14.
SISTEM PENCARIAN LOKASI ANJUNGAN TUNAI MANDIRI (ATM) MEMANFAATKAN GOOGLE MAP UNTUK HANDPHONE ANDROID YANG MEMILIKI FASILITAS GLOBAL POSITIONING SYSTEM (GPS) STUDI KASUS BPD DIY Hendra Nurahmanto; Sumarsono Sumarsono; Maya Suhayati
Compiler Vol 2, No 1 (2013): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (120.575 KB) | DOI: 10.28989/compiler.v2i1.35

Abstract

The denser the activity o f modern lifesquad, made in every case the limitations o f everyday life. As an example when the transactions at the Bank, this can be facilitated by the presenc o f ATM. Meanwhile, many users do not know ATM locations, especially when users from the other town so it is considered sufficient applied for search ATM locations. The method used in this study for mapping utilizing google map. In this application user can search for ATM locations easily as determined by the position o f the user is located. With GPS devices available on the smartphone can find locations user smartphone and ATM locations. ATM search applications can be used when the smartphone is connected to internet.
Visualisasi Data Kependudukan Menggunakan Power Business Intelligence (Studi Kasus Kelurahan Sukamiskin Kecamatan Arcamanik Kota Bandung) Sri Bekti Handayani Ningsih; Iyat Ratna Komala; Leni Nurhayati; Maya Suhayati
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 3 No. 1 (2025): JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v3i1.2944

Abstract

Sukamiskin Village is one of the villages in the Arcamanik sub-district of Bandung City. Population data is very useful as a basis for policy making to improve the economy, determine security facilities, improve infrastructure, and so on. One of the community institutions that have the task of collecting population data is the Rukun Tetangga (RT) management. The application of the Power Business Intelligence (Power BI) application in analyzing population data in Sukamiskin Village by taking sample data in Sukamiskin village RT.01 RW.06. The population data analyzed includes information such as population size, age distribution, education level, gender, marital status and employment status. This study aims to provide a clear picture or visualization of population data in Sukamiskin village RT.01 RW.06 using the Microsoft Power BI application with the stages of collecting data, entering data, modeling data, and visualizing data. The results of this research are in the form of a dashboard/summary report and detailed report on the population data of the Sukamiskin village RT.01 RW.06. The results of the analysis show that Power BI is able to present data comprehensively and assist in strategic decision making at the village level. The implementation of Power BI is expected to increase the benefits of population data and accelerate the process of
Co-Authors Anton Setiawan Honggowibowo Hendra Nurahmanto Iyat Ratna Komala Leni Nurhayati Sri Bekti Handayani Ningsih Sumarsono Sumarsono Widya Anggraeni Hadiyanti