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Journal : Journal of Mathematics and Applied Statistics

Prediction of Domestic and Foreign Tourist Visits Using the Long Short-Term Memory (LSTM) Method Afnidia, Tria; Herlina Putri, Novi; Soraya, Siti; Firmansyah, Firmansyah
Journal of Mathematics and Applied Statistics Vol. 3 No. 1 (2025): June 2025
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/mathstat.v3i1.286

Abstract

The tourism sector makes an important contribution to supporting regional economic growth. Among the various provinces in Indonesia, West Nusa Tenggara (NTB) stands out as one of the main tourist destinations that has shown a fairly rapid increase in the number of tourist visits in recent years. This study uses Adam optimization and gradient clipping techniques to predict domestic and foreign tourist visits in NTB using the Long Short-Term Memory (LSTM) method. Monthly historical data for the period 2014–2023 from the NTB Tourism Office was processed through Min-Max Scaling normalization and divided with a ratio of 70:30 and 80:20. The LSTM model with a 4-layer architecture (2 LSTM layers with 50 units and 2 Dense layers) was tested using the Root Mean Squared Error (RMSE) metric. Based on the results obtained, the best configuration was shown at a ratio of 70:30 with 200 epochs, producing the lowest RMSE of 66.70 on the training data and 33.24 on the testing data. This implies that the model can capture seasonal patterns and visit trends, although it is less responsive to outliers such as natural disasters. This implementation provides a basis for tourism capacity planning and data-based destination management.
Analysis of Factors Influencing Chili Production Using the Spatial Regression Method Ananda, Laraswati; Gusnayanti, Riski; Ratmaji, Muji; Firmansyah, Firmansyah; Soraya, Siti
Journal of Mathematics and Applied Statistics Vol. 3 No. 1 (2025): June 2025
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/mathstat.v3i1.287

Abstract

Chili pepper production in West Nusa Tenggara is the second largest producer in Indonesia. However, the distribution of production still shows a significant imbalance between regions. This imbalance can affect the stability of supply and prices both locally and nationally. This study aims to examine the factors that influence chili pepper production in NTB using the spatial regression method. The data used are secondary data from agricultural statistics in 2024, which cover ten districts/cities. The SEM model was chosen because it can identify the effects that occur between geographically close regions, which are often not visible in traditional regression models. The results of the analysis show that the area of ​​harvested land and the level of chili pepper productivity have a significant effect on the total production at a real level of 10%, with coefficients of 96.6132 and 44,385.5, respectively. The lambda value reaching 1.6667 provides support for evidence of positive spatial autocorrelation between regions. The SEM model also showed a lower AIC value (316.58) compared to the classical regression model, indicating that this model is more efficient and accurate.
Co-Authors Afnidia, Tria Agus Sofian Eka Hidayat Ahmad Ahmad Ahmad Zuli Amrullah Al Jauziah, Hanief Ananda, Laraswati Andika Ellena Saufika Hakim Maharani Anggarawan, Anthony Anthony Anggrawan Aryani, Wiwik Dyah Ashar Banyu Lazuardi Ayu Dasriani, Ni Gusti Aziza, Istin Fitriani Azizah, Istin Fitriani Azmi, Rinda Fitriana Badriyah, Lulu'ul Baiq Chandra Herawati Baiq Dinda Puspita Ayu Bryan Hakim Sakti Pradana Choirul Anwar christofer satria Daniel Happy Putra desventri etmy Devi Yulianti Dewi, Puspita Didiharyono, D. Dodiy Fahmeyzan Ekaningrum, Annisa Yuri Erwin Suhendra Ferdinandus Lidang Witi Firmansyah Firmansyah Firmansyah, Dodiy Fitriana Aziza, Istin Fitriana, Laili Fitriani, Anisa Gede Suwardika Gilang Primajati Gilang Primajati Gusnayanti, Riski Gusti Ayu Aghivirwiati Habib Ratu Perwira Negara Harsyiah, Lisa Helna Wardhana Hendayanti, Ni Putu Nanik Herawat, Baiq Candra Herawati, Baiq Candra Herlina Putri, Novi Hidayat, Agus Sofian Eka Hisbullah Hisbullah Husain Husain I Gusti Ayu Desi Saryanti I Ketut Putu Suniantara I Nyoman Miyarta Yasa I Nyoman Yoga Sumadewa I Wayan Kusuma Di Biagi Ida Bagus Bayu Mahayana Indrawan Mulyadi Isasi, Widani Darma Ismoen, Muhaimin Istin Fitriana Aziza Juanda, M. Rizky Ujiana Julyanti , Nafi’ah Zahra Khairan marzuki Khasnur Hidjah Kurnia, Indri Lalu Ganda Rady Putra Maesaroh Maesaroh Malik Ibrahim Mayasari, Rossa Melati Rosanensi Mohammad Fajri Mukti, M Thoriq Panca Mustakim, Asep Muttahid Shah Nata, I Gede Anjas Kharisma Nurhidayati, Maulida Pangaribuan, Daniel Panji Tanashur Phyta Rahima Primajati , Gilang Primajati, Gilang Primajati, Gilang Puspita Dewi, Puspita Putrajip, Mohamad Yudisa Putri, Andri Qatrunnada R. Ayu Ida Aryani Rabbani, Muhammad Haikal Rahima, Pitha Rahmiati, Baiq Fitria Ratmaji, Muji Regina Pricilia Yunika Riana Riana Rianti, Andri Putri Rifani Nur Sindy Setiawan Rismayati, Ria Rizal, Ahmad Ashril Rizqi, Retno Inten Rizwan Arisandi, Rizwan Sahdan, Sahdan Santi Puteri Rahayu Saputra, Habibi Yusup Setiawan Setiawan Setyawan, Ari Shilvia Nurin Ni’mah Sirojul Hadi Subhan Hadi Sufahani, Suliadi Firdaus Supiarmo, M. Gunawan Suriyati ., Suriyati Syaharuddin Syaharuddin Ulul Azmi Verma, Kirti Widhi, Bidari Andaru Widia Febriana, Widia Wirajaya Kusuma Yunika, Regina Pricilia Yustina Hendrayati Baba Zilullah Nazir Hadi