Nur Atikah
Jurusan Matematika, FMIPA, Universitas Negeri Malang

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PENERAPAN ALGORITMA EXPECTATION-MAXIMIZATION (EM) DALAM MENGELOMPOKKAN POPULARITAS OBJEK WISATA DI MALANG RAYA BERDASARKAN INDIKATOR BANYAK PENGUNJUNG Nur Atikah; Swasono Rahardjo; Trianingsih Eni Lestari; Lucky Tri Oktoviana
Jurnal Kajian Matematika dan Aplikasinya (JKMA) Vol 2, No 2 (2021): July
Publisher : UNIVERSITAS NEGERI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um055v2i22021p14-20

Abstract

The Malang Raya Area is one of the tourist destinations in East Java..Batu City is an area of Malang Raya which is visited by many for sightseeing. Given the development of tourism in Malang Raya, it is necessary to classify the popularity of tourist objects so that they can be used as a reference in policymaking by the tourism office and tourism object managers. In this study, the Expectation Maximation (EM) algorithm is used to determine the clustering of tourist objects in Malang Raya using data on the number of visitors. The results of grouping the popularity of leading tourist attractions in Malang Raya based on the number of visitors are divided into 5 groups, namely: Group 1: Selecta; Group 2: Balekambang, Wendit Baths, and Brawijaya Souvenir Tour; Group 3: Transport Museum, Coban Rondo, Animal Museum, Jatim Park, BNS, Picking Apples “Makmur Abadi and Agro Wonosari Tea Plantation; Group 4: Kusuma Agro Wisata, Kampoeng Kidz, Cangar Hot Springs, Eco Green Park, Predator Fun Park, Coban Rais Tourism Area, Mount Banyak, Mahajaya T-Shirt & Souvenirs, Ngliyep and Selorejo Dam; Group 5: “Dammadhipa Arama” Temple, “Kaliwatu” Rafting, Batu Rafting, Coban Talun Tourism Wana, Tirta Nirwana Baths, Songgoriti Natural Hot Springs, Wonderland Waterpark, Friends of Water Rafting, Independent Apple Picking, Apple Agro Stone, Tourism Village.
MODEL FUNGSI TRANSFER MULTI INPUT DALAM PERAMALAN PENERIMAAN PAJAK HOTEL KOTA MALANG TAHUN 2019 Alma Perwitasari; Nur Atikah
Jurnal Kajian Matematika dan Aplikasinya (JKMA) Vol 1, No 1 (2020): July
Publisher : UNIVERSITAS NEGERI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um055v1i12020p1-9

Abstract

A transfer function is one of the models contained in the time series. The multi-input transfer function is used to establish a simple model derived from the relationship between input and output series. The transfer function model will be applied to the forecasting of hotel tax revenue (Y) into an output series with the input series variables affected by the number of sold rooms (X^a), the number of staying guests (X^b), and the average of the guest’s staying time (X^c). The purpose of this study is to anticipate the failure of the realization of the hotel tax revenue target in Malang City and to determine the results of the next forecasting. The result of this study is the multi-input transfer function, Y_t = Y_(t-1) + 0.0052294*X^b_(t-8) + 573.32180*X^c_t - 0.0052294*X^b_(t-9) - 573.32180*X^c_(t-1) + 1.18967*a_t. Based on this function, the forecasting nearly coincides with the actual data indicated by the graph of forecasting result nearly coincides with the graph of the actual data. Thus, this multi-input transfer function could be suggested to be used in forecasting Malang City hotel tax revenues from January 2019 to May 2019.
Application of Expectation-Maximization (EM) Algorithm in Grouping Popularity Tourism Objects in Malang Raya Based on Indicator of Many Visitors Nur Atikah
Jurnal Matematika MANTIK Vol. 5 No. 2 (2019): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.161 KB) | DOI: 10.15642/mantik.2019.5.2.123-134

Abstract

Malang Metropolitan Area is one of the areas in East Java which is a leading tourism destination in Indonesia with Batu Tourism City (Kota Wisata Batu) as the center. Considering the development of tourism in Malang, it is necessary to do a grouping of the popularity of tourism objects so that it can be used as a reference for making policy by the tourism department and tourism management. In this article, the grouping is analyzed by using the method of grouping the Expectation Maximation (EM) algorithm. The data used is secondary data obtained from BPS data, namely data of many tourism visitors in Malang Raya. The results of the grouping the popularity of leading tourism objects in Malang are based on indicators of the number of visitors divided into five groups, there are Group 1: Selecta; Group 2: Balekambang, Pemandian Wendit and Wisata Oleh-Oleh Brawijaya; Group3: Museum Angkut, Coban Rondo, Museum Satwa, Jatim Park, BNS, Petik Apel “Makmur Abadi and Agro Kebun Teh Wonosari; Group 4: Kusuma Agro Wisata, Kampoeng Kidz, Air Panas Cangar, Eco Green Park, Predator Fun Park, Wana Wisata Coban Rais, Gunung Banyak, Mahajaya T-Shirt & Oleh-oleh, Ngliyep and Bendungan Selorejo; Group 5: Vihara “Dammadhipa Arama”, Rafting “Kaliwatu”, Batu Rafting, Wana Wisata Coban Talun, Pemandian Tirta Nirwana, Pemandian Air Panas Alam Songgoriti, Wonderland Waterpark, Sahabat Air Rafting, Petik Apel Mandiri, Batu Agro Apel, Kampung Wisata.