Bara'langi, Stefany Yunita
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Analisa Perbandingan Algoritma Pelatihan Propagasi Balik Dan Algoritma Pelatihan Levenberg-Marquardt (Studi Kasus: Prediksi Cuaca Kota Makassar) Lisye, Lisye; Bara'langi, Stefany Yunita
TEMATIKA, Journal of Informatics and Information Systems Vol 5, No 1 (2017)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Abstract

Artificial Neural Network can solve a problem based on its experience and training. The purpose of this research is analyzing the comparison of two training that is Backpropagation Training (BP) and Levenberg-Marquardt (LM) Training to determine the speed and accuracy of each training. The case that be used is the weather prediction at Makassar City which is obtained from BMKG. The advantage of BP is the runtime execution to get SSE’s value faster than LM that has difference 410.48974 ms. The advantage of LM is can obtain the smallest SSE’s value on training process than BP, that is 0.0264.Keywords: Artificial Neural Network, Levenberg-Marquardt, weather prediction, Backpropagation
ETL Data Warehouse Pada Sistem Monitoring Besaran Listrik Menggunakan Protokol Modbus TCP Tangdililing, Ferdianto; Bara'langi, Stefany Yunita
TEMATIKA, Journal of Informatics and Information Systems Vol 4, No 2 (2016)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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This research aims design ETL in data warehouse as a storage of data logging. The source of data warehouse can be diverse both in terms of data storage structure, platform, device and user interface so-called syntactic heterogeneity. Modelling data in this research using a snowflake schema because the data involved is already 3rd Normal Form. This application is powered by software applications built using LabView tools and sensors Schneider 810 power meter will read the input data. The results obtained in this research are ETL can build a data warehouse for the storage of data logging despite syntactic heterogeneity.Keywords: data warehouse, ETL, Modbus TCP, electrical monitoring, Schneider 810 PM
Implementasi Metode Tsukamoto Pada Sistem Inferensi Fuzzy Bara'langi, Stefany Yunita
TEMATIKA, Journal of Informatics and Information Systems Vol 1, No 1 (2013)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Tsukamoto is a method of fuzzy inference system using a weighted average of the if-then rules. It was can be used to soft skills assessment. It was not carried out strictly like truth value in boolean logic (True or False). Assessment of student’s soft skills by drafting rules based on assessment factors and calculate the value of the predicate of each rule to obtain the value weighted averages. Membership function is described by a linear function of representation