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All Journal Media Statistika SAINSMAT Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Jurnal Matematika Sains dan Teknologi Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) MATAPPA: Jurnal Pengabdian Kepada Masyarakat Jurnal Varian Inferensi ESTIMASI: Journal of Statistics and Its Application Jurnal Statistika dan Matematika (Statmat) Variansi : Journal of Statistics and Its Application on Teaching and Research Amaliah: Jurnal Pengabdian Masyarakat SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam VARIANSI: Journal of Statistics and Its Application on Teaching and Research Indonesian Journal of Fundamental Sciences Seminar Nasional Hasil Penelitian LP2M UNM SMART: Jurnal Pengabdian Kepada Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS) Indonesian Journal of Statistics and Its Applications
Aswi, Aswi
Prodi Statistika, FMIPA, Universitas Negeri Makassar
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Journal : Jurnal Statistika dan Matematika (Statmat)

 1 
PEMODELAN ARIMAX KASUS COVID-19 DIKAITKAN DENGAN CURAH HUJAN DI KOTA MAKASSAR Sukarna Sukarna; Sahlan Sidjara; Aswi Aswi; Oktaviana Oktaviana
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 4, No 2 (2022)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v4i2.25556

Abstract

ABSTRACT This research applies a quantitative modelling approach and focuses on ARIMAX modelling in the Covid-19 case associated with rainfall in Makassar City. Data were obtained from the government's official website for daily confirmed case data of Covid-19 and rainfall (from June 25, 2020 to January 15, 2022). Rainfall is measured in mm which is the independent variable ( ), and confirmed Covid-19 as the dependent variable ( ). This research objective is to obtain the best ARIMAX model that informs the effect of rainfall intensity ( ) on the number of confirmed cases of Covid-19 ( ). This best model used the criteria that all parameters are significant, the residuals involved the white noise assumption and the best criteria measured from the smallest value of Akaike Information Criterion (AIC). The best model in this study is ARIMAX(3,0,5), with the smallest AIC value of 7,220,96. The results of this study indicate that rainfall ( ) has no significant effect on the number of confirmed Covid-19 ( ) in Makassar City. Keywords: ARIMAX, Covid-19, rainfall, Makassar. ABSTRAK Penelitian ini menerapkan pendekatan pemodelan kuantitatif (quantitative modelling approach) dan membahas pemodelan ARIMAX pada kasus Covid-19 dikaitkan dengan curan hujan di Kota Makassar. Data diperoleh dari website resmi pemerintah untuk data kasus terkonfirmasi harian Covid-19 dan juga curah hujan (mulai Tanggal 25 Juni 2020 s/d 15 Januari 2022). Curah Hujan diukur dalam mm yang merupakan variabel bebas ( , dan terkonfirmasi Covid-19 sebagai variabel terikat ( . Penelitian ini bertujuan untuk mendapatkan model ARIMAX terbaik yang menginformasikan pengaruh intensitas curah hujan (  terhadap jumlah kasus terkonfirmasi Covid-19 ( . Model terbaik ini memenuhi kriteria bahwa semua parameter signifikan, residual memenuhi asumsi white noise dan kriteria terbaiknya menggunakan nilai Akaike Information Criterion (AIC). Model terbaik yang diperoleh dalam penelitian ini adalah ARIMAX(3,0,5), dengan nilai AIC terkecil sebesar 7.220,96. Hasil penelitian ini menunjukkan bahwa Curah Hujan (  tidak berpengaruh signifikan terhadap jumlah terkonfirmasi Covid-19 (  di Kota Makassar. Kata kunci: ARIMAX, Covid-19, Curah hujan, Makassar
PEMODELAN TIME SERIES UNTUK NILAI TUKAR RUPIAH DI MASA PANDEMI COVID-19 Hisyam Ihsan; Abdul Rahman; Sukarna Sukarna; Aswi Aswi; Muhammad Ammar Naufal
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 4, No 2 (2022)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v4i2.26100

Abstract

Abstract: Covid-19 is an international disaster with a long occurrence interval. The research divides this disaster into four phases, namely before the Covid-19 pandemic (1 January 2019 to 31 March 2020), the implementation of PSBB (1 April 2020 to 20 January 2021), the performance of PPKM & Micro-Lockdown (21 January 2021 to 23 July 2021), and after Covid-19 is reduced (24 July 2021 to 30 June 2022). Data on IDR to USD exchange rates were obtained from the official website from 1 January 2019 to 30 June 2022. Comparing the ARIMA temporal model for the four phases was proposed in this study as an inferential and descriptive way to compare exchange rates. The results showed that the IDR exchange rate against the USD closed at IDR 14,155.63 (before the pandemic), IDR 15,581.83 (PSBB period), IDR 14,362.84 (PPKM period), and IDR 14,368.16 (after the pandemic). According to the smallest AIC or parsimony considerations, the most effective ARIMA model is ARIMA(2,1,0) for the stage before the pandemic, ARIMA(0,2,1) for the stage during PSBB, ARIMA(3,1,0) for the stage during PPKM & micro-lockdown, and ARIMA(2,1,0) for the stage after the pandemic.ABSTRAK: Pandemi Covid-19 merupakan bencana internasional yang sangat panjang interval kejadiannya. Penelitian ini membagi bencana ini menjadi 4 fase, yaitu sebelum pandemi Covid-19 (1 januari 2019 s/d 31 Maret 2020), pemberlakuan PSBB (1 April 2020 s/d 20 Januari 2021), pemberlakuan PPKM & Micro-Lockdown (21 Januari 2021 s/d 23 Juli 2021), dan setelah Covid-19 berkurang (24 Juli 2021 s/d 30 Juni 2022). Data nilai tukar IDR ke USD diambil dari situs resmi mulai 1 Januari 2019 s/d 30 Juni 2022. Tujuan penelitian ini adalah membandingkan nilai tukar secara deskriptif dan inferensial dengan membandingkan model temporal ARIMA untuk keempat fase tersebut. Hasil penelitian menunjukan bahwa nilai tukar IDR terhadap USD ditutup pada Rp 14.155,63 (sebelum pandemi), Rp 15.581,83 (masa PSBB), Rp 14.362,84 (masa PPKM), dan Rp 14.368,16 (setelah pandemi). Model ARIMA terbaik berdasarkan AIC terkecil atau pertimbangan parsimony untuk tiap fase adalah ARIMA(2,1,0) sebelum pandemi, ARIMA(0,2,1) dimasa PSBB, ARIMA(3,1,0) dimasa PPKM & micro-lockdown, dan ARIMA(2,1,0) setelah masa pandemi.Kata kunci: covid-19, nilai tukar rupiah, model temporal, ARIMA.
Co-Authors A. Nurul Amalia AA Sudharmawan, AA Abdul Rahman Aidid, Muhammad Kasim Andi Feriansyah Andi Feriansyah Andi Gagah Palarungi Taufik Andi Muhammad Ridho Yusuf Sainon Andin P Andi Shahifah Muthahharah Ankaz As Sikib Annas, Suwardi Asrirawan Awaluddin Awaluddin Awi Awi Bobby Poerwanto Bobby Poerwanto Bobby Poerwanto Bustan, Muhammad Nadjib Fahmuddin, Muhammad Halimah Husain Hammado, Nurussyariah Hisyam Ihsan Idul Fitri Abdullah Irwan Irwan Isnaini, Mardatunnisa Kaito, Nurlaila M Nadjib Bustan Mahadtir, Muhamad Mardatunnisa Isnaini Mauliyana, Andi Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Ammar Naufal Muhammad Arif Tiro Muhammad Arif Tiro Muhammad Arif Tiro Muhammad Arif Tiro Muhammad Arif Tiro Muhammad Arif Tiro, Muhammad Arif Muhammad Fahmuddin Muhammad Fahmuddin Muhammad Fahmuddin Sudding Muhammad Kasim Aidid Mutmainnah Mutmainnah Natalia, Derliani Nini Harnikayani Hasa Nur Aziza S Nurhilaliyah Nurhilaliyah Nurhilaliyah Nurhilaliyah Nurhilaliyah Nurhilaliyah, Nurhilaliyah Nurkaila Kaito Nurul Fadilah Syahrul Nurul Ilmi Nusrang, Muhammad Oktaviana Oktaviana Poerwanto, Bobby Putri, Siti Choirotun Aisyah Rahma, Ina Rahman, Abdul Rahmawati Rahmawati Ramadani, Reski Aulia Rezki Amalia Idrus Ruliana Ruliana Ruliana Ruliana Ruliana Ruliana, Ruliana Sahlan Sidjara Salsabila, Afifah Sapriani Shanty, Meyrna Vidya Siti Choirotun Aisyah Putri Sri Ayu Astuti Sri Rahayu Suardi, Shafira Suci Amaliah Sudarmin Sudarmin Sudarmin Sudarmin Sudarmin Sudarmin Sukarna Sukarna Sukarna Sukarna Sukarna Sukarna Sukarna Sukarna Sukarna Supriadi Yusuf Susanna Cramb Suwardi Annas Suwardi Annas Syafruddin Side Wahidah Sanusi Wea, Maria Dominggo Yassar, La Ode Salman Zulhijrah Zulhijrah Zulhijrah Zulkifli Rais