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All Journal AKSIOMA: Jurnal Program Studi Pendidikan Matematika JIPM (Jurnal Ilmiah Pendidikan Matematika) Math Didactic: Jurnal Pendidikan Matematika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Unisda Journal of Mathematics and Computer Science (UJMC) Jambura Journal of Mathematics Transformasi : Jurnal Pendidikan Matematika dan Matematika Variance : Journal of Statistics and Its Applications JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Teknik Informatika (JUTIF) Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Differential: Journal on Mathematics Education
Feby Indriana Yusuf
Universitas PGRI Banyuwangi
Humanities Computer Science & IT Education Engineering Mathematics Public Health Other

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Journal : Unisda Journal of Mathematics and Computer Science (UJMC)

 1 
ANALISIS KOMPONEN UTAMA UNTUK MENGETAHUI FAKTOR DOMINAN YANG MEMPENGARUHI ANGKA KEMISKINAN (Studi Kasus di Kabupaten Banyuwangi) Feby Indriana Yusuf; Heri Susanto
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 3 No 2 (2017): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.116 KB) | DOI: 10.52166/ujmc.v3i2.464

Abstract

The poverty rate is an important component for improvement of Banyuwangi. The declining poverty rate is an indicator that Banyuwangi people have improved the welfare and better quality region. The dominant factors causing poverty need to be the main concern of Banyuwangi government to suppress and reduce poverty. Factor analysis is used as a method in determining the dominant factors that influence poverty rate in Banyuwangi. The variables analyzed are level of education ( V1), illiteracy (
METODE TRIPLE EXPONENTIAL SMOOTHING HOLT-WINTERS UNTUK PERAMALAN JUMLAH WISATAWAN NUSANTARA DI KABUPATEN BANYUWANGI Feby Indriana Yusuf; Dwi Hilda Anjasari
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 2 (2018): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (239.717 KB) | DOI: 10.52166/ujmc.v4i2.1107

Abstract

Forecasting is how to predict future event by considering the past data. This research aims to determine the results of the comparison of forecasting the number of domestic tourists in Banyuwangi by triple exponential smoothing method of Holt-Winters multiplicative and additive models in order to obtain the best model. The data used in this research is the number of domestic tourists in Banyuwangi period January 2010 to March 2018. The results showed that forecasting by the triple exponential smoothing method of multiplicative models with a smoothing constant α = 0.18; γ = 0.03 and β = 0.1 obtained the smallest value of MAPE and MSE.
Co-Authors Adi, Puti Zakiyah Raisa Anggraini, Dessy Anggraini, Dessy Anjasari, Dwi Hilda Anjasari, Dwi Hilda Arvianti, Aurellia A’la, Kevina Alal Barep Yohanes Bukhori, Hilmi Aziz Dwi Hilda Anjasari Dwi Mifta Mahanani, Dwi Mifta Dzurotul Mutimmah Eko Listiwikono Endang Wahyu Handamari Fitri Nurmasari Hady Rasikhun Heri Susanto Imam Nurhadi Purwanto Julianti, Nurma Haya Nada, Qothrun Nadya Adharani Novi Prayekti Nurma Haya Julianti Permata, Wahyu Finda Permata, Wahyu Finda Rachmaniah Mirza Hariastuti Rahmi, Miftachul Rahmi, Miftachul Saiful Bukhori Saragih, Trecy Elisabet Tioralina Sari, Meylita Situmorang, Boy Nathanael Susanti, Reny Eka Evi Syaiful Anam Syamsiar, Syamsiar Thalita, Bella Cindy Wiwik Handayani