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All Journal Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Jurnal Teknik Komputer AMIK BSI Paradigma Jurnal Pilar Nusa Mandiri JIEET (Journal of Information Engineering and Educational Technology) JITK (Jurnal Ilmu Pengetahuan dan Komputer) J I M P - Jurnal Informatika Merdeka Pasuruan JURTEKSI JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Tekno Kompak EVOLUSI : Jurnal Sains dan Manajemen Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Infortech Jurnal Sistem Informasi Abditeknika - Jurnal Pengabdian Kepada Masyarakat Reputasi: Jurnal Rekayasa Perangkat Lunak IMTechno: Journal of Industrial Management and Technology Simpatik: Jurnal sistem Informasi dan Informatika Journal of Educational Sciences EVOLUSI : Jurnal Sains dan Manajemen
Ida Darwati
Universitas Bina Sarana Informatika
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Library & Information Science Social Sciences Other

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Perbandingan Prediksi Jumlah Wisatawan Menggunakan Metode Weighted Moving Average dan Simple Moving Average Ida Darwati
Evolusi : Jurnal Sains dan Manajemen Vol. 13 No. 1 (2025): Periode Maret 2025
Publisher : LPPM Universitas Bina Sarana Informatika Kampus Kabupaten Banyumas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/evolusi.v13i1.8323

Abstract

lang Regency and there are many other tourist attractions in various regions in East Java. Visitors who come are not only local residents, but also from outside the Malang Regency area. Good and complete services and facilities are very important so that visitors have the desire to come back. This is related to the readiness of the relevant parties so it is important to know how many visitors will come. In this research, the author predicts the number of tourists in the next period using the Simple Moving Average and Weighted Moving Average methods to find the best method between the two methods. For data processing the author uses the Python programming language with Jupyter Notebook. In this research, the best method was found, namely the Weighted Moving Average method with a smaller RMSE than using the Simple Moving Average method, then the author created a program design using a streamlit framework with the Weighted Moving Average method to find out the prediction of the number of tourists in Malang Regency in the following period.
Co-Authors Agung Agung Wibowo Agung Wibowo Ai Sutini, Ai Andika Sulis Pratama Ardi Nurdin Dinda Ayu Muthia Hilda Amalia Lita Sari Marita Muri Muryati Muryati, Muri Nuris, Nuzuliariani Oky Irnawati Pramudya, Ihrat Ratih Yulia Hayuningtyas Retno Sari Sukmawati, Vivien Sufi Hadi Wellyhans, Yofan Yoyok Maryono, Yoyok Yunus Abidin