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Adi Setiawan
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Journal : JAMBURA JOURNAL OF PROBABILITY AND STATISTICS

 1 
PENGGUNAAN RESAMPLING DALAM PENGGAMBARAN QUICK COUNT ADI SETIAWAN
Jambura Journal of Probability and Statistics Vol 1, No 1 (2020): Jambura Journal of Probability and Statictics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v1i1.5643

Abstract

In this paper a descriptive statistical analysis of the results of the 2019 presidential election was presented related to the quick count result. Descriptive statistical analysis was also conducted on the results of the 2019 presidential election in Salatiga City (Central Java province), Solok City (West Sumatra province) and Rejang Lebong Regency (Bengkulu province). The resampling method is used to illustrate how the quick count method can be explained for finite populations in Salatiga City, Solok City and Rejang Lebong Regency. By using resampling, the percentage obtained by the Jokowi-Amin pair in Salatiga, Solok and Rejang Lebong are 78.05%, 87.86% and 56.85%, whereas the reality for the three cities in a row is 78.03%; 87,79% and 56.36%.
PERBANDINGAN HASIL PERAMALAN JUMLAH WISATAWAN MANCANEGARA DENGAN METODE BOX-JENKINS DAN EXPONENTIAL SMOOTHING SARI, EMMA NOVITA; SUSANTO, BAMBANG; SETIAWAN, ADI
Jambura Journal of Probability and Statistics Vol 2, No 1 (2021): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v2i1.9181

Abstract

Forecasting the number of tourist visits is needed by tourism businesses to provide an overview of the number of tourists in the future so that problems that might occur can be overcome properly. This study aims to compare the results of forecasting the number of foreign tourists using the Box-Jenkins and Exponential Smoothing methods. There are two data used, namely data on the number of foreign visitors visiting Indonesia from January 2008 to December 2017 (Data I) and Bali according to the entrance of Ngurah Rai Airport from January 2009 to March 2020 (Data II). The best forecast results are obtained by comparing the Root of Mean Square Error (RMSE) values. The comparison of forecasting results in Data I shows that the Holt-Winters Exponential Smoothing method is more appropriate to predict the number of foreign tourists visiting Indonesia because it has a smaller RMSE value. While, the results of forecasting periods 2 and 3 in Data II show results that are far different from the original data. After tracking, it turns out this is caused by an unexpected factor, the Covid-19 pandemic which caused the number of tourists to drop significantly during this period.
Prediksi Laju Inflasi dengan Metode Long Short-Term Memory (LSTM) Berdasarkan Data Laju Inflasi dan Pengeluaran Kota Ternate masipupu, Frangky Aristiadi; setiawan, Adi; Susanto, Bambang
Jambura Journal of Probability and Statistics Vol 6, No 1 (2025): Jambura Journal of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v6i1.30627

Abstract

Inflation is one of the main indicators that reflect the economic stability of a region. Ternate City, as one of the cities in North Maluku Province, exhibits fluctuating inflation dynamics from year to year. This study aims to forecast the inflation rate in Ternate using the Long Short-Term Memory (LSTM) method, which is a neural network architecture well-suited for processing time series data. The data used consists of monthly Consumer Price Index (CPI) figures for Ternate from 2016 to 2023, obtained from the Central Bureau of Statistics (BPS). The LSTM model was trained using monthly CPI changes as the basis for calculating inflation. The model evaluation results show a Root Mean Square Error (RMSE) of 0.9275, Mean Absolute Error (MAE) of 0.8369, and Mean Absolute Percentage Error (MAPE) of 20.13%. These results indicate that the LSTM model performs well in forecasting inflation in Ternate City and can be utilized as a decision-support tool in regional economic planning and policymaking.   
Co-Authors Abdul Latief Abadi Abesha, Muhammad Bagas ADELIA, PUTRI Adella Septiana Mugirahayu Aditya Nugraha Putra, Aditya Nugraha Adril, Adril Agatha, Titania Puela Agung Sugeng Widodo Agustiningsih, Maulina Al Jauhary, Muhammad Rifqi Aldian Umbu Tamu Ama Aldian Umbu Tamu Ama Alfida Tegar Nurani Alicia Anggelia Lumbantoruan Alkhinaya, Imelzsa ALOYSIUS JOAKIM FERNANDEZ Andhika, Yosi Arbi, Mokhram Ari Ariani, Dwi Setya Arum, Naiya Giska Fauzhia Sekar Atiek Iriany Atina Rahmatalia Ayu Pratiwi, Ayu AYU WULANDARI Bambang Susanto Baskoro Arie Nugroho Bayu Wijayanto Beni Utomo Christiana Hari Soetjiningsih Christina Maya Indah Susilowati Cintika, Sara Famelia D. B. Nugroho, D. B. Daivi Wardani, Daivi Danang Ariyanto Delsylia Tresnawaty Ufi Denny Indrajaya Denny Indrajaya Deswita, Yenny Dewi Anisa Istiqomah Dewi Lukitasari Diah Wulansari Hudaya, Diah Wulansari Didit Budi Nugroho Djoko Hartanto E. D. Saputri, E. D. Eko Sediyono Elok Waziiroh Elsa Septyana Endang Sulistyaningsih Faldy Tita Fika Widya Pratama Florentina Tatrin Kurniati Gustina, Devi Haay, Happy Alyzhya Hamsani Hamsani, Hamsani Hanna Arini Parhusip Hari Slamet Trianto Hari Slamet Trianto Hariyanto Hariyanto Hartiningsih, Tri Haryadi, Andri Henderi . Henrizal, Henrizal Henry Junus Wattimanela Hidayat, Mario Ignatius Agus Supriyono Ilham Hizbuloh Imansyah, Salmaa R. N Irisa Trianti Irwan Sembiring Iwan Setiawan Iwan Setyawan Joko Siswanto JT Lobby Loekmono Kasmadi Kasmadi Keo, Jitro Jemryes Kurniawan, Johanes Dian Kurniawan, Titus Antonius David Larassati, Dian Sukma Leipary, Harfely Leonardo Refialy Leonardo Refialy, Leonardo Leopoldus Ricky Sasongko Lilik Linawati Lindin Anderson Litra Diantara Luqman Qurata Aini Lydia Soepriyani Fallo masipupu, Frangky Aristiadi Meydelina, Gloria Migunani Migunani Mitha Febby R. Donggori Mitha Febby R. Donggori Mochtar Luthfi Rayes Modjo, Marchella Ellena Mohammad Ridwan Mukti, Audy Desaela Junia Munika, Rani Mustafa Kamal Nafisah Riskya Hasna Nasoetion, Panisean Nasrudienullah, Muhammad Ikhsan Ninda Lutfiani Nizwan Zukhri Nugraha, Irfan Nur Priya Nurul Islami, Nurul Olivia Rumahpasal Pamungkas, Bayu Aji Pane, Pina Andriani Pariama, Aprillia Mauren Pirmansyah Pirmansyah Pradani, Wynona Adita Priatna , Wowon Pronika, Yeni Purbaratri, Winny Purwanto Purwoko, Agus Putra, Reza Qurotul Aini Rachayu, Laras Andriani Rachel Wulan Nirmalasari Wijaya Reniati Reniati Riana Dewi Ridlo, Mahmuddin Riza, Sativandi Rizqon Hasibuan Romauli Basaria Roy Rudolf Huizen Rudhito, Andy Salomina Patty Saputra, Muhammad Dio SARI, EMMA NOVITA Sari, Fariezta Sayuti, M. Setivani, Febi Sri Suwartiningsih Sulistio Sulistio Suryasatriya Trihandaru Sutarto Wijono Syamsul Arifin Syib`'li, Muhammad Akhid Tamaela, Jemaictry Theo Sarita, Fetriks Theopillus J. H. Wellem Tri Wahyuningsih Tundjung Mahatma Uli, Desti Monika Untung Rahardja Untung Rahardja Vikky Aprelia Windarni Vikky Aprelia Windarni Vincentia Pawestri Wahyuni Kristinawati Waney, Natalia Christy Wattimanela, Henry Junus Wibowo, Mars Caroline Wiguna, Edo Wijaya, Maruf Ajisaka Wijayanti, Yunita Puput Windarni, Vikky Aprelia Wisnu Anendya Sekti Yanti Sariasih Yenusi, Yuni naomi Yulius Yusak Ranimpi Yuono, Sukma Setyo Zuliani, Nopita zurman, zurman