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All Journal Jurnal Gaussian YOUNGSTER PHYSICS JOURNAL Eksakta : Berkala Ilmiah Bidang MIPA Indonesian Journal of Statistics and Its Applications
Iut Triutami
Department Of Statistics, Faculty Of Science And Mathematics, Universitas Diponegoro
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Other

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PERAMALAN JUMLAH PENUMPANG PESAWAT DI BANDARA INTERNASIONAL AHMAD YANI DENGAN METODE HOLT WINTER’S EXPONENTIAL SMOOTHING DAN METODE EXPONENTIAL SMOOTHING EVENT BASED Sofiana Sofiana; Suparti Suparti; Arief Rachman Hakim; Iut Triutami
Jurnal Gaussian Vol 9, No 4 (2020): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.v9i4.29448

Abstract

Forecasting the number of airplane passengers can be a consideration for the airline at Ahmad Yani International Airport related with addition of extra flight. The number of airplane passengers can be influenced by certain seasonal or special events. The seasonal influences can be known through historical data patterns and if there is a seasonal pattern, the Holt Winter’s Exponential Smoothing method can be used. Exponential Smoothing Event Based (ESEB) forecasting method can be use to see the special events that effect the number of airplane passengers at Ahmad Yani International Airport. After compared, the Holt Winter’s Exponential Smoothing method is a better method of forecasting the number of airplane passengers at Ahmad Yani International Airport because it has a smaller error value, namely the MSE value and the MAPE value than the Exponential Smoothing Event Based (ESEB)method. The MAPE and MSE values be produced from the best method each of  5,644139% and 619,998,718 .Keywords : Airplane Passengers, Seasonal Pattern, Special Event, Exponential Smoothing Event Based , Holt Winter’s Exponential Smoothing.
INTERPRETASI LAPISAN BAWAH PERMUKAAN DI AREA PANAS BUMI GUNUNG TELOMOYO, KABUPATEN SEMARANG MENGGUNAKAN METODE GEOLISTRIK RESISTIVITY KONFIGURASI SCHLUMBERGER Elida Septiana Putriutami; Udi Harmoko; Sugeng Widada
Youngster Physics Journal Vol 3, No 2 (2014): Youngster Physics Journal April 2014
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (695.41 KB)

Abstract

Geoelectric measurements and interpretation have been conducted to obtain subsurface structure information in Geothermal area of Telomoyo Mountain at Semarang regency using Schlumberger configurationWe obtain a potential difference and current from field data acquisition that can be used to calculate the apparent resistivity value. Then, the apparent resistivity value is processed using IPI2win program to determine the value of resistivity in each layer using geological information as validation. The geoelectric results showed the presence of fault structures such as normal faults down and the layers which has resistivity values at 116 Wm with a depth at 106 - 120 m from the surface of geoelectric line are interpreted as the upper boundaries of the Caprock layer. Keywords: Resistivity, Schlumberger, Geothermal, Telomoyo Mountain
Infant Mortality Case: An Application of Negative Binomial Regression in order to Overcome Overdispersion in Poisson Regression Fadhilah Fitri; Fitri Mudia Sari; Nurul Fiskia Gamayanti; Iut Tri Utami
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 22 No. 3 (2021): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (898.543 KB) | DOI: 10.24036/eksakta/vol22-iss3/272

Abstract

Infant mortality is an indicator to determine the degree of public health. Infant mortality is death that occurs in the period from birth to before the age of one. The high rate of infant mortality indicates that the quality of public health services is not optimal. The number of infant deaths is an example of count data that follows a Poisson distribution, so it can be analyzed using Poisson Regression. The assumption that must be met when using this method is the equidispersion or variance of the response variable is equal to mean. However, this condition rarely occurs because usually the counted data has a greater variance than the mean or it is called overdispersion. One way to solve this problem is to use the Negative Binomial Regression method. The data used in this study is the case of infant mortality in the city of Padang. First, we model the data using Poisson Regression, then we check the assumption, if there is overdispersion, we handle it by modeling the data with Negative Binomial Regression. The results showed that the equidispersion assumption could not be met so that the data was modeled with Negative Binomial Regression.
Comparison of C4.5 and C5.0 Algorithm Classification Tree Models for Analysis of Factors Affecting Auction: Perbandingan Model Pohon Klasifikasi Algoritma C4.5 dan C5.0 untuk Analisis Faktor yang Mempengaruhi Keberhasilan Lelang Mohammad Fajri; Iut Tri Utami; Muh. Maruf
Indonesian Journal of Statistics and Applications Vol 6 No 1 (2022)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v6i1p13-22

Abstract

Auction in Indonesia is carried out by the Office of State Assets and Auction Services (KPKNL). Goods auctioned at KPKNL are quite diverse including land, wood, inventory, vehicles, and other goods. However, not all of the items auctioned were sold. Because not a few items have been auctioned but no one has made an offer. The Purpose of this study is to compare two classification methods, C4.5 and C5.0 algorithm and to determine which items were successfully auctioned with those that did not and its factors. The methods that used were comparing the classification tree C4.5 algorithm and C5.0 algorithm with cross validation. From the results of the comparison of the two methods, it was found that the C5.0 Algorithm method was rated better than the C4.5 algorithm in classifying the auction results with an accuracy of 96.43% and 92.86% respectively. In this case, C5.0 has a higher precision than C4.5.
Co-Authors Arief Rachman Hakim Fadhilah Fitri Fitri Mudia Sari Mohammad Fajri Muh. Maruf Nurul Fiskia Gamayanti Sofiana Sofiana Sugeng Widada Suparti Suparti Udi Harmoko