OJS UNPATTI Publication Center (Universitas Pattimura)
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SISTEM PAKAR FUZZY UNTUK MANAJEMEN DAUR HIDUP PRODUK
Every product has its certain life cycle, whether, for example, it preserve in the market or have to be withdrawed from the market. Some criterias are important to determine those decisions. But they are not in numerical form but categorial one. Fuzzy logic is a tool to transform those categorial form to numerics using membership function. This research was trying to helps management as an expert system to make a decision based on computer software
ANALISIS DISKRIMINAN, REGRESI LOGISTIK, NEURAL NETWORK DAN MARS PADA PENGKLASIFIKASIAN DATA
The purpose of this research is to apply and compare the discriminant analysis, logistic regression, Neural Network (NN) and Multivariate Adaptive Regression Spline (MARS) at HBAT and IRIS data. Next will be the classification of fourth methods using the SPSS statistical software, MINITAB, MARS, and R. The results showed that the data HBAT predictor variables affected to the response variable which is the quality of the product (X6), Complaint resolution (X9) and Salesforce image (X12), whereas all predictor variables on the IRIS data affect the response variable. A more precise method used in HBAT data classification is NN and discriminant analysis because the value of the resulting classification accuracy is greater, especially for testing. While a more precise method used in the IRIS data classification is discriminant analysis because the value of the resulting classification accuracy is greate
TITIK-ANTARA DI DALAM RUANG METRIK DAN RUANG INTERVAL METRIK
A point p in metric space ()dX, is called a between-point of if Xba∈,()()(bpdpadbad,,,+= ). This concept was formulated by Menger in 1928. If all the between-points of a and b is collected in a set, then a and b are that set automaticlly. In the metric space ()dX, and if there are operator in X, hence this interval operator is called metric interval operator. The couple of () is called metric interval space
MODEL OPTIMISASI NONLINIER JARINGAN PIPA GAS DENGAN PERCABANGAN
Gas transmission system has a branch to costumer area that affects to flow rate, gas pressure, and pipe diameter. This paper discusses optimization of this transmission system. Optimum gas pressure and pipe diameter was found by minimizing cost objective function subjects to panhandle A and panhandle B constrain function. Steepest Descent method which is combined with Rangekutta methods is use to determine the optimization process. The result shows that the pipe branches affect the optimization variables
KONSEP DASAR SEMIGRUP REGULER REDUKTIF
In this paper, we consider the properties of reductive semigroups, with two congruence relations defined on them, which gave a characterization for regular reductive semigroups
ANALISIS PERBAIKAN KUALITAS GENTENG BETON DENGAN MENGGUNAKAN METODE TAGUCHI
A concrete roof tile company wanted to improve the quality and reduce product defects or rework of products, but companies in the production of concrete roof tile products still fragile because of strong press tiles that are not in accordance with predetermined specifications.To overcome these problems, have made a study to identify factors that influence control of a strong press and concrete roof tiles to get the best settings in producing a product that is expected to perform design of experiments using Taguchi Method to factors that can be controlled by the Cement ( A), water (B), Fly Ash (C) and Dust Stone (D).Each factor had 3 levels of treatment and based on the total number of free degrees in this experiment the orthogonal matrix ( 13 )27 L 3 is used. Based on the results obtained so semenyang largest contribution to the average strength of concrete roof tile press, which is 18.642% of dust and rock that is a combination of 8.167% and the right to obtain a strong tap-concrete roof tiles desired
ESTIMASI PARAMETER DISTRIBUSI EKPONENSIAL PADA LOKASI TERBATAS
The common method in Estimating Parameter Distribution Exponential at Finite Location is Maximum Likelihood Estimation (MLE).The best estimator is consistent estimator. Because of The Mean Square Error (MSE) can be used in comparing some detectable estimators that it had looking for with Maximum Likelihood Estimation (MLE) so can find the consistent estimator in Estimating Parameter Distribution Exponential At Finite Locatio
PRAKIRAAN CURAH HUJAN KECAMATAN KAIRATU KABUPATEN SERAM BAGIAN BARAT DENGAN MODEL AUTOREGRESIVE INTEGRATED MOVING AVERAGE (ARIMA)
Forecasting is an activity to use the past data as the basic to predict the future event that will occur. The result from the prediction is an un-sure event or just a guess, but with some certain methods then the prediction will be more than a guess, it means that it is a scientific guess. The data analysis technique with autoregressive integrated moving average (ARIMA) method can give the early information that is needed as the material for the consideration to take the decision and the action itsel
ANALISIS VARIANS MULTIVARIAT PADA EKSPERIMEN DENGAN RANCANGAN ACAK LENGKAP
Metode Statistika Multivariat adalah teknik analisis statistik yang memperlakukan sekumpulan variabel dependent yang saling berhubungan sebagai satu sistem, dengan memperhitungkan kuatnya hubungan antar variabel-variabel tersebut. Analisis yang demikian biasanya dikenal atau disebut Analisis Statistik Multivariat atau disingkat Analisis Multivariat.Tujuan analisis dengan metode ini adalah menemukan dan menafsirkan struktur yang mendasari data. Pada analisis ini data yang diolah adalah data dari hasil pengukuran beberapa variabel tak bebas dan dapat saja ditambah dengan hasil pengukuran dari satu atau beberapa variabel bebas. Dengan demikian yang diukur adalah satu atau beberapa kelompok variabel, sedang datanya adalah beberapa kelompok skor.Analisis Varians adalah tehnik analisis statistik, yang biasanya digunakan untuk komparasi beberapa rata-rata populasi, berdasarkan perbandingan pasangan taksiran varians faktor-faktor tertentu. Pada kondisi multivariat, dimana analisis ini merupakan perluasan atau generalisasi dari analisis varians adalah Analisis Varians Multivariat, dan merupakan tehnik analisis data tentang perbedaan pengaruh beberapa variabel terhadap sekelompok variabel kriteria