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All Journal Media Statistika Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Jurnal Ekologi, Masyarakat dan Sains Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Resa Septiani Pontoh
Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Padjadjaran
Decision Sciences, Operations Research & Management Education Environmental Science Mathematics

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Pengaruh Luas Kebakaran Hutan dan Lahan Terhadap Tingkat Pencemar Udara PM10 Dwi Maharani; Dewi Arafa Azra; Sarah Aprilia; Uzzi Ziqma; Resa Septiani Pontoh
Jurnal Ekologi, Masyarakat dan Sains Vol 2 No 2 (2021): Jul-Des 2021
Publisher : ECOTAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55448/ems.v2i2.14

Abstract

Land and forest fires that took place in the Indonesian Province will produce some substances that can pollute the air. The air pollution is monitored by the Air Pollution Standard Index or ISPU which consist of a concentration value of 5 kinds of substances as parameters, such as particulate (PM10), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3). The causes of land and forest fires vary, it could be due to nature and humans. Forest fires caused by nature can occur due to a prolonged dry season, while those caused by humans can occur due to the burning of forests to open land for new plantations. Land and forest fires can also be detected, as mentioned above, using the air pollution standard index (ISPU). This research examines the effect of forest and land fires on the level of air pollution, which focused on examining the particulate (PM10). The method used is simple linear regression, which is an equation that can describe the relationship between dependent variables and independent variables. The results of simple linear regression analysis are Y=26,605+8,99E-5X, and with a confidence level of 95%, the area of Forest and Land Fires (Ha) Province in Indonesia in 2019 (X) has a significant effect on the average particulate matter (PM10) of Province in Indonesia in 2019 (Y).
PENERAPAN CONFIGURAL FREQUENCY ANALYSIS (CFA) UNTUK MENENTUKAN KARAKTERISTIK USER DAN NON USER MOTOR X DI KOTA CIREBON (Studi Kasus PT. XYZ) Muhamad Iqbal Mawardi; Bertho Tantular; Resa Septiani Pontoh
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 9 No 2 (2017): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2017.9.2.2868

Abstract

ABSTRACT. PT. XYZ has a role as the main dealer of motor X in West Java with marketing area in three cities: Bandung, Bekasi and Cirebon. The company survey always held every year about Brand Awareness & Image to users and non user motor X to know the characteristics of consumers. Based on the company report survey there was a decrease in the indicators of Top Of Mind Unit in Cirebon City for the user of 30.8% and for non users of 9.8%. This study aims to determine the characteristics that cause the decline of the Top Of Mind Unit based on the configuration of user characteristics and non user motor X in Cirebon City by using Configural Frequency Analysis (CFA). From the results of data analysis can be seen that there are three configurations of user characteristics and non users that deviate from the base model is formed. These three configurations can be considered in determining the marketing strategy to maintain and improve the Top Of Mind Unit in Cirebon City.
FORECASTING COVID-19 IN INDONESIA WITH VARIOUS TIME SERIES MODELS Gumgum Darmawan; Dedi Rosadi; Budi Nurani Ruchjana; Resa Septiani Pontoh; Asrirawan Asrirawan; Wirawan Setialaksana
MEDIA STATISTIKA Vol 15, No 1 (2022): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.15.1.83-93

Abstract

In this study, Covid-19 modeling in Indonesia is carried out using a time series model. The time series model used is the time series model for discrete data. These models consist of Feedforward Neural Network (FFNN), Error, Trend, and Seasonal (ETS), Singular Spectrum Analysis (SSA), Fuzzy Time Series (FTS), Generalized Autoregression Moving Average (GARMA), and Bayesian Time Series. Based on the results of forecast accuracy calculation using MAPE (Mean Absolute Percentage Error) as model evaluation for confirmed data, the most accurate case models is the bayesian model of 0.04%, while all recovered cases yield MAPE 0.05%, except for FTS = 0.06%. For data for death cases SSA and Bayesian Models, the best with MAPE is 0.07%.
Association Between Smoking Behavior and Tuberculosis in Indonesia : A Meta-Analysis Aritonang Keshia Oinike; Resa Septiani Pontoh; Bertho Tantular
Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya 2019: Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (672.42 KB)

Abstract

According to WHO, Pulmonary TB is still one of the most deadly diseases and the death rate has reached millions of lives throughout the world including Indonesia. Smoking is one of the main causes of someone contracting pulmonary TB. The goal of this study is to find association between Pulmonary TB and smoking habits in Indonesia using published study. Published studies that reproting Pulmonary TB and smoking habits was complemented by manual searching. Thirty-six studies were selected that covering 12 province in Indonesia. Meta-analysis was conducted using Random effect model. 46641 patients were included in the analysis, and there were 1698 patients that suffering from Pulmonary TB and 44943 patients that not suffering. The association between Pulmonary TB and smoking habits is statistically significant with <0.0001 in p-value and 4.94 in z-score. The pooled odds ratio estimate for smokersvsnon smokers was of 1.8697dan 95% - CI [1.4583; 2.3972] or patients who smoked 1.86 times at risk of pulmonary TB than non-smoking patients. Smoking habits is significantly associated with the risk of Pulmonary TB in Indonesia.
PENERAPAN CONFIGURAL FREQUENCY ANALYSIS (CFA) UNTUK MENENTUKAN KARAKTERISTIK USER DAN NON USER MOTOR X DI KOTA CIREBON (Studi Kasus PT. XYZ) Muhamad Iqbal Mawardi; Bertho Tantular; Resa Septiani Pontoh
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 9 No 2 (2017): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2017.9.2.2868

Abstract

ABSTRACT. PT. XYZ has a role as the main dealer of motor X in West Java with marketing area in three cities: Bandung, Bekasi and Cirebon. The company survey always held every year about Brand Awareness & Image to users and non user motor X to know the characteristics of consumers. Based on the company report survey there was a decrease in the indicators of Top Of Mind Unit in Cirebon City for the user of 30.8% and for non users of 9.8%. This study aims to determine the characteristics that cause the decline of the Top Of Mind Unit based on the configuration of user characteristics and non user motor X in Cirebon City by using Configural Frequency Analysis (CFA). From the results of data analysis can be seen that there are three configurations of user characteristics and non users that deviate from the base model is formed. These three configurations can be considered in determining the marketing strategy to maintain and improve the Top Of Mind Unit in Cirebon City.
Co-Authors Akbar, Muhammad Faizal Aritonang Keshia Oinike Asrirawan Bertho Tantular Bertho Tantular Budi Nurani Ruchjana Dedi Rosadi Dewi Arafa Azra Dwi Maharani Gumgum Darmawan Gumgum Darmawan Muhamad Iqbal Mawardi Sarah Aprilia Setialaksana, Wirawan - Uzzi Ziqma