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All Journal Jurnal Wilayah dan Lingkungan Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Jurnal Statistika dan Aplikasinya Jurnal Pengabdian kepada Masyarakat Nusantara Kafa’ah: Journal of Gender Studies Jurnal Abdimas Ekonomi dan Bisnis TIERS Information Technology Journal Jurnal Pengabdian Ilung (Inovasi Lahan Basah Unggul) VARIANSI: Journal of Statistics and Its Application on Teaching and Research International Journal of Multidisciplinary Sciences and Arts RAGAM: Journal of Statistics and Its Application Jurnal Teknoinfo
Yeni Rahkmawati
Universitas Lambung Mangkurat
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : RAGAM: Journal of Statistics and Its Application

 1 
PEMODELAN GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) MENGGUNAKAN PEMBOBOT KERNEL PADA KASUS TINGKAT PENGANGGURAN TERBUKA DI KALIMANTAN Viona Oktafiani; Dewi Sri Susanti; Yeni Rahkmawati
RAGAM: Journal of Statistics & Its Application Vol 3, No 1 (2024): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v3i1.12822

Abstract

AbstractUnemployment is one of the serious problems in Indonesia's economic development. This unemployment describes human resources that have not been utilized optimally, as a result of which people's productivity and income have not been maximized, this can also be one of the causes of poverty and other social problems. This study aims to find out the general picture of the open unemployment rate in the Kalimantan region, get the best model and factors that influence the open unemployment rate and illustrate it through thematic maps. The study began with testing assumptions and spatial effects then continued with testing global regression modeling and Geographically Weighted Regression. The weighting function used in this study is adaptive gaussian kernel. The variable that has a positive effect on the open unemployment rate in the Kalimantan region is population density. While the variable that negatively affects the open unemployment rate is the Labor Force Participation Rate. Keywords:   Open Unemployment Rate, Kalimantan Island, Spatial, GWR
PERAMALAN JUMLAH PENUMPANG BUS RAPID TRANSIT (BRT) BANJARBAKULA DENGAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE WITH EXOGENOUS VARIABLE (ARIMAX) DENGAN EFEK VARIASI KALENDER Eka Ayu Frasetyowati; Nur Salam; Yeni Rahkmawati
RAGAM: Journal of Statistics & Its Application Vol 3, No 1 (2024): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v3i1.12789

Abstract

Banjarbakula Bus Rapid Transit (BRT) is an inner-city bus-based mass transit system that provides a sense of comfort, safety, speed in mobility, and low cost in serving the citizens of Banjarmasin City and Banjarbaru City. Based on data on the number of passengers on the Banjarbakula BRT for the period April 2020 - February 2023, public interest in using the Banjarbakula BRT as a mode of transportation is quite high. However, the limited units and operational schedules make the Banjarbakula BRT unable to fully meet the needs of the public. Forecasting the number of passengers of BRT Banjarbakula for the next 12 periods is one of the measures to prepare the infrastructure, quality and units of BRT Banjarbakula in order to facilitate the public and create a better transportation system. In the Banjarbakula BRT passenger data, there is an increase in the number of passengers at certain times such as during religious holidays and school holidays, so this increase in passenger numbers is thought to be due to the influence of the calendar variation effect. This research intends to forecast the number of passengers of BRT Banjarbakula using the best ARIMAX model with the effect of calendar variation. The results indicate that the ARIMAX (0, 1, 1) model is the best ARIMAX model to forecast the number of passengers of BRT Banjarbakula for the next 12 periods. The forecast results indicate an increase in the month where the Christmas celebration and also the memorial haul guru sekumpul, so that the variable Christmas celebration and memorial haul guru sekumpul significantly affect the number of passengers of BRT Banjarbakula.Keywords: Forecasting, BRT Banjarbakula, ARIMAX with calendar variation effects
Co-Authors Adzim, Muhammad Fauzan Al Atqiaa , Muhammad Azkaa Al Fajrin, Muhammad Agha Putra Ananda, Saira Aulia Cahyadi, Rizqa Nabiilah Dewi Anggraini Dewi Anggraini Dewi Sri Susanti Eka Ayu Frasetyowati Farid, Fuad Muhajirin Fidiyaningsih, Yani Fuad Muhajirin Farid Fuad Muhajirin Farid Genardi, Angelina Ivanna Hafidhah, Nor Jinan Ivanna Genardi, Angelina Maisarah Maisarah, Maisarah Maulida, Maisya Muhajirin Farid, Fuad Muhammad Jimmy Saputra Muhammad Munawwir Muhammad Reza Faisal, Muhammad Reza Muhammad Riza Hafizi Nabilah, Dwi Anisatun Nazili, Muhammad Haqin Noordyanti, Erna Novanda Rizky Ramadhana Nur Salam Oktaviani, Viona Putri, Dwi Cahyaning Riza, Yusi Salsabila, Nur Selvi Annisa Siahaan, Priscilla Aquirera Iory Sidauruk, Verina Rosalin Br Sukmawaty, Yuana Syamsiar, Syamsiar Uthami, Mariza Viona Oktafiani Viranty, Miftah Rizky Yuana Sukmawaty Zulliati Zulliati, Zulliati