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All Journal Jurnal Gaussian Science and Technology Indonesia Sinkron : Jurnal dan Penelitian Teknik Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal BPPK : Badan Pendidikan dan Pelatihan Keuangan Jurnal Kreativitas PKM Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat Jurnal Informatika dan Rekayasa Elektronik Unri Conference Series: Community Engagement Operations Research: International Conference Series Jurnal Ketenagakerjaan Parameter: Journal of Statistics Journal of Community Engagement Research for Sustainability Jurnal Ilmiah Pengabdian Masyarakat Bidang Kesehatan Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS)
Gustriza Erda
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Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Journal : Journal of Mathematics, Computation and Statistics (JMATHCOS)

 1 
Performance Analysis of Neighborhood Component Analysis on Support Vector Machine in Greenhouse Gas Emission Classification Gustriza Erda; Kurnia Ramadani
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.4305

Abstract

The heatwave phenomenon has hit several countries in various parts of the world, caused by climate change. Climate change leads to greenhouse gas emissions increasing beyond the limits set by the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report Global Warming Potentials. This final project uses a combination of Neighborhood Component Analysis (NCA) and Support Vector Machine (SVM) methods with linear, polynomial, Radial Basis Function (RBF), and sigmoid kernel functions. The purposes of this final project are to evaluate the performance of NCA on SVM and to determine the best kernel function in this combination. Based on the analysis, it was found that classification using a combination of NCA and SVM methods can reduce variables, with the best kernel function being the Polynomial kernel function. This is because the analysis using the Polynomial kernel function achieved the highest accuracy values for training data, testing accuracy, and F1-Score, which are 98,96%, 99,15%, and 98,98% respectively. Additionally, the training analysis time and testing analysis time were the shortest at 0,15 seconds and 0,04 seconds.
Forecasting International Tourist Arrivals to Indonesia Using LSTM: Post-Pandemic Analysis for 2024-2025 Ayu Sofia; Dien, Zulfanita; Erda, Gustriza
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.7309

Abstract

As Indonesia's main foreign exchange contributor, the tourism sector experienced significant dynamics after the COVID-19 pandemic, characterized by a sharp decline in the number of foreign tourists during the pandemic and consistent recovery in the post-pandemic period. This study aims to predict the number of foreign tourists to Indonesia from September 2024 to August 2025 using the Long Short-Term Memory (LSTM) method. The LSTM model is optimized with an 80:20 data split for training testing and uses optimal parameters, namely Learning Rate 0.005, Batch Size 64, Optimizer Adam, and Epoch 200. The prediction results show an increase in the number of tourists to a peak of 1,390,564 in November 2024, followed by a gradual decline to 987,970 in August 2025, with an accuracy level indicated by a MAPE value of 14.39%
Co-Authors Adia Syaputri Agustiarni, Efni Al Baihaqi, Habib Alika, Elsa Riesta Althoff Hibban Anisa, Rahmatul Anne Mudya Yolanda Arisman Adnan Aulia, Felia Rizki Ayu Sofia Bustami, Haposan Sirait Dien, Zulfanita Dimas Abyan Fatkhin Al-Aswad Divo Dharma Silalahi Efendi, MHD Eky Erie Sadewo Fandi Gusriyanda Ferdinan, Tri Agus Finda, Ingla Fitri Ramadhani Goldameir, Noor Ell Gumanti Gunawan , Chairani Indra, Zul Kholilah Samosir Kurnia Ramadani Lafina, Melanie Maria Lathifah Zahra M. SYIFA RAMADHAN Mariza Mega Aulia, Sartika Miftahul Jannah Mistika, Lensi Musraini M Nurhaliza Nurhannifah Rizky Tampubolon Nusantri Purba Okta Bella Syuhada Pitri, Rizka Putri, Nelsa Rahman, Fadhila Rahmi, Afrilia Ramadani, Kurnia Rezzy Eko Caraka Rini Latifah Riris Putri Kinanti Russel, Edwin Rustam Efendi Safitri, Nuraini Sarasmita Apriyenti Simbolon, Veronika Amelia Sirait, Tesa Theresia Siregar, Nurainun Siti Farika Sari SITI SUHAILA Sukamto Susilawati, Susilawati Syaftiani Dwi Astuti Syamsudhuha Syamsudhuha Syamsudhuha T, Masrina Munawarah T, Nurhannifah Rizky Tata, Tata Tatik Widiharih Thearas, Lia Titi Solfitri Usdika, Radhiatul Khaira Wamiliana Wawan Sugiyarto Yenita Roza Yuciana Wilandari Zahra, Lathifah Zulya Erda