scholarly journals Peramalan Jumlah Kasus Infeksi Saluran Pernafasan Akut (ISPA) pada Laki-Laki Tahun 2019 dengan Metode ARIMA

2019 ◽  
Vol 8 (2) ◽  
pp. 138
Author(s):  
Moch. Fitriawan Eka Saputra ◽  
Muhammad Rizky

The ARIMA method is an approach that forms the most powerful model in analyzing time series data, and the studies given are very thorough. This method can be modeling data stationary or not stationary, it can be seen from sine wave shape of the plot ACF. This method is used because obtained the results are better and more accurate. According to WHO, Acute Respiratory Infection (ARI) is an infectious disease that causes can be morbidity and mortality. A four million people die each year. This study used secondary data so that it is categorized as non reactive research. The population were cases of Acute Respiratory Infections (ARI) at Jagir Health Center Surabaya which were recorded in 2013 to 2018 (monthly). The dependent variable is the cases of Acute Respiratory Infection (ARI), while the independent variable is time. The model that was obtained from the ARIMA method is a model (2.0,1). The forecasting result is 354 cases in 2019, the forecasting has increased from 2018 to only 313 cases. It was a suggestion that the forecasting result can be a reference for developing a policy and a new program or improvement in previous program so that the number cases of ARI at the Jagir Health Center can be resolved properly.

2019 ◽  
Vol 8 (2) ◽  
pp. 138
Author(s):  
Moch. Fitriawan Eka Saputra ◽  
Muhammad Rizky

The ARIMA method is an approach that forms the most powerful model in analyzing time series data, and the studies given are very thorough. This method can be modeling data stationary or not stationary, it can be seen from sine wave shape of the plot ACF. This method is used because obtained the results are better and more accurate. According to WHO, Acute Respiratory Infection (ARI) is an infectious disease that causes can be morbidity and mortality. A four million people die each year. This study used secondary data so that it is categorized as non reactive research. The population were cases of Acute Respiratory Infections (ARI) at Jagir Health Center Surabaya which were recorded in 2013 to 2018 (monthly). The dependent variable is the cases of Acute Respiratory Infection (ARI), while the independent variable is time. The model that was obtained from the ARIMA method is a model (2.0,1). The forecasting result is 354 cases in 2019, the forecasting has increased from 2018 to only 313 cases. It was a suggestion that the forecasting result can be a reference for developing a policy and a new program or improvement in previous program so that the number cases of ARI at the Jagir Health Center can be resolved properly.


2020 ◽  
Vol 5 (02) ◽  
pp. 169-179
Author(s):  
Saadatul Kamilla ◽  
Dinar Melani Hutajulu

ABSTRACT One of the most important aspects in economic development is infrastructure. Adequate and equitable infrastructure in all regions of a country will facilitate economic performer in accessing and carrying out economic activities. A good economic activities will create economic growth. The main purpose of this research is to know the effect of infrastructure on economic growth. The study was conducted in Central Java province using secondary data from 2006-2018. The independent variable of this study is the basic infrastructure including roads, electricity and water. While the dependent variable is the GRDP. The model used is multiple linear regression model using time series data. The results of this study indicate that the road infrastructure variable is significant to  influence on economic growth. The variable infrastructure of electricity shows significant results and have a positive effect on economic growth. Variable infrastructure of water shows the results are insignificant on economic growth. Keywords: economic growth, road, electricity, water


Author(s):  
Yuni Kurniati Yuni Kurniati

ABSTRACT   The acuteof Respiratory infection is still the first stage infigure Toddler spain. Factors affecting the Acute Respiratory Infections among others, nutritional status, age, low birth weight, Exclusive breastfeeding, maternal education, and infant immunization status, unclean environment and the level of health care is lacking. The purpose of the study was to determine the relationship between the environmentand the incidence of age with Acute Respiratory Infection In Social Health Center Palembang toddler in2014. Survey Design The study was across sectional analytic approach where surroundings and independent variables age and incidence of respiratory Dependent variable collected at the same time. The study population was all the mothers who bring their babies to come to the health center for treatment of Social Palembang 2014, and samples were taken by means of accidental sampling with a sample of 30 respondents the results of univariate analysis of data showed that respondents suffered with respiratory diseasewas 23 percent(76.7%), respondent swithan unhealthy environment totaled 16 bythe percentage(53,3%) ,respondents who are at risk of suffering from The incidence of acute respiratory infections toddler age amounted to10 with the percentage (33,3%). From the results obtained Chi-square is a meaningful relation ship between the Acute Respiratory Infection events where p value =0.031<0.05, and there was no relationship between age and incidence of acute respiratory infections where p value =0.657 > 0,05. Based on the results of the study researchers suggest efforts of health education on how to live a clean and healthy communities such as maintaining and caring for the home and surrounding environment with regular cleaning and care to keep it clean so that it can prevent viruses, bacteria, germ sare not easy to breed.       ABSTRAK   Infeksi Saluran Pernafasan Akut merupakan yang masih menjadi peringkat pertama pada Angka Kesakitan Balita. Faktor-faktor yang mempengaruhi Infeksi Saluran Pernapasan Akut antara lain, Status gizi, Umur, BBLR, Pemberian ASI Eksklusif, Pendidikan ibu, dan Status imunisasi balita, Lingkungan yang tidak bersih dan tingkat pelayanan kesehatan yang kurang. Tujuan penelitian adalah untuk mengetahui hubungan antara Lingkungan dan Umur dengan Kejadian Infeksi Saluran Pernafasan Akut Pada balita di Puskesmas Sosial Palembang Tahun 2014.Desain Penelitian ini adalah Survey analitik dengan pendekatan Cross Sectional dimana variable Independen Lingkungan dan Umur dan varibel Dependen Kejadian ISPA dikumpulkan dalam waktu bersamaan. Populasi penelitian ini adalah semua ibu yang datang membawa balitanya berobat ke Puskesmas Sosial Palembang Tahun 2014, dan sampel diambil dengan cara Accidental Sampling dengan jumlah sampel 30 responden hasil analisi univariat data yang menunjukkan responden yang menderita penyakit ISPA berjumlah 23 dengan persentase (76,7%), responden yang dengan lingkungan tidak sehat berjumlah 16 dengan persentase (53,3%), responden yang umur balitanya beresiko menderita ISPA berjumlah 10 dengan persentase (33,3%). Dari hasil Chi-square didapatkan ada hubungan yang bermakna antara lingkungan dengan kejadian ISPA dimana p value = 0,031 < 0.05, dan tidak ada hubungan antara umur dengan kejadian ISPA dimana p value = 0,657 > 0,05. Berdasarkan hasil penelitian peneliti menyarankan upaya – upaya penyuluhan kesehatan tentang cara hidup bersih pada masyarakat dan sehat seperti menjaga dan merawat lingkungan rumah dan sekitarnya dengan membersihkan secara rutin dan merawatnya agar tetap bersih sehingga dapat mencegah virus, bakteri, kuman tidak mudah berkembang biak.  


2020 ◽  
Vol 16 (3) ◽  
pp. 343
Author(s):  
Angelita Monica Leiley ◽  
Jean Fanny Junita Timban ◽  
Olly Esry Haryani Laoh

This study aims to determine the effect of agricultural commodities on inflation in the city of Manado and what agricultural commodities have a significant effect on inflation in the city of Manado. This research was conducted in December 2019 until February 2020. Data collection was obtained through secondary data obtained from the Central Statistics Agency of North Sulawesi Province which was taken through the official website of BPS North Sulawesi Province. Sampling uses a time series data source. Data analysis uses multiple linear regression analysis methods. This analysis will produce a pattern and closeness of the relationship between the dependent variable and the independent variable, estimate the effect of the independent variable on inflation in the city of Manado, and be able to predict inflation in the city of Manado if the magnitude of the independent variable is known. The results showed that the Manado City Inflation was influenced by agricultural commodities, namely vegetables, legume inflation, fruit inflation and seasoning inflation. Grain groups have no effect on inflation in the City of Manado.*eprm*


2021 ◽  
Vol 7 (1) ◽  
pp. 164
Author(s):  
Rifqi Khuamirotun Nafis ◽  
Heri Sudarsono

In general sharia banking in Indonesia, there are various types of financing offered to customers, one of which is profit-sharing based financing (Mudharabah). Regarding this, the purpose of this study is to determine and measure the relationship between positive and negative and significant or insignificant effects of micro independent variables in the form of TPF, CAR, NPF, FDR, BOPO and macro independent variables in the form of BI Rate and Inflation on the dependent variable, namely PMD. (Mudaraba Financing). In this study using the ARDL (Auto-regression Distributed Lag) regression method with analysis tools, namely the EViews 10 application and for the data used is time series data, the data is also secondary data which is retrieved from the official website of the OJK and BPS Indonesia by retrieving data. from January 2015 - July 2020. It can be concluded that the results of this study show that the independent variables have an effect on micro, namely TPF, CAR, ROA, and BOPO, the results have a negative and significant effect, while the NPF and FDR results are not significant (no influential) and for the independent variable the macro effect is the Bi Rate, the results have a significant negative effect, while for the inflation the results are positive and insignificant (no effect) on PMD (Mudharabah Financing).


2020 ◽  
Vol 2 (2) ◽  
pp. 454
Author(s):  
Julkifli Purnama ◽  
Ahmad Juliana

Investment in the capital market every manager needs to analyze to make decisions so that the right target to produce profits in accordance with what is expected. For that, we need a way to predict the decisions that will be taken in the future. The research objective is to find the best model and forecasting of the composite stock price index (CSPI). Data analysis technique The ARIMA Model time series data from historical data is the basis for forecasting. Secondary data is the closing price of the JCI on July 16 2018 to July 16 2019 to see how accurate the forecasting is done on the actual data at that time. The results of the study that the best Arima model is Arima 2.1.2 with an R-squared value of 0.014500, Schwarz criterion 10.83497 and Akaike info criterion of 10.77973. Results of forecasting actual data are 6394,609, dynamic forecast 6387,551 selisish -7,05799, statistics forecas 6400,653 difference of 6,043909. For investors or the public can use the ARIMA method to be able to predict or predict the capital market that will occur in the next period.


2019 ◽  
Vol 1 (2) ◽  
pp. 401
Author(s):  
Zakiah Husna ◽  
Idris Idris

This study aims to determine the effect of energy consumption and regime on economic growth in Indonesia. The data used is secondary data in the form of time series data from 1988-2017, with documentation and library study data collection techniques obtained from relevant institutions and agencies. the variables used are economic growth (GDP), non-renewable energy consumption, renewable energy consumption and regime, the research methods used are: (1) Multiple Regression Analysis (OLS), (2) Classical Assumption Test results of research stating that: ( 1) non-renewable energy consumption has a positive effect on economic growth in Indonesia. (2) consumption of renewable energy has a positive effect on economic growth in Indonesia. (3) the energy regime has a negative effect on economic growth in Indonesia. (4) non-renewable energy consumption, renewable energy consumption and energy regime have a significant effect on economic growth in Indonesia. so only the energy regime has a negative effect on economic growth in Indonesia.


2019 ◽  
Vol 1 (4) ◽  
pp. 37
Author(s):  
Yulizar Fikri ◽  
Ali Anis

This study aims to determine the analysis of the determinants of the composite stock price index in Indonesia. The independent variables in this study are inflation as X1, foreign exchange reserves as X2, exchange rates as X3, and economic growth as X4, and the dependent variable of the composite stock price index as Y. The data used are secondary data in the formof time series data from 2010Q1 until 2019Q2, with data collection techniques, namely documentation from Bank Indonesia publications, the Central Statistics Agency, investing. comsite and library research. The research methods used are: (1) Multiple Linear Regression, (2) Classical Assumption Test (3) coefficient of determination. The results of this study indicate that:(1) inflation does not significantly influence the composite stock price index. (2) foreign exchange reserves have a significant positive effect on the composite stock price index. (3) the rupiah exchange rate has an influence on the composite stock price index and (4) economic growth hasno significant effect on the composite stock price index.


2021 ◽  
Vol 3 (2) ◽  
pp. 69
Author(s):  
Rohim Rohim ◽  
Mike Triani

The purpose of this research is to determine (1) the effect of income on gas consumption in Indonesia (2) the effect of population on gas consumption in Indonesia (3) the effect of industrial growth on gas consumption in Indonesia. This type of research is descriptive and associative. The data used in this research is secondary data from Indonesia in the form of time series data from 1970 to 2019 and this data was obtained from official institutions of the World Bank and BP Statistic World. The data were processed using multiple linear regression. The results showed that the income had a negative and significant effect on gas consumption with a probability value of 0.0005 <0.05, the population had a positive and significant effect on gas consumption with a value of prob t-count of 0.0010 <0.05 and industrial growth had a positive and significant effect on gas consumption.  The significant to gas consumption in Indonesia with a value of prob t-count value of 0.5219 <0.05 and suggestions for further researchers to be able to analyze other factors that affecting gas consumption in Indonesia.  Because from the gas sectors, there are still many factors that affected gas consumption until the research results will be better


2019 ◽  
Vol 5 (3) ◽  
pp. 217
Author(s):  
Felix Efendy ◽  
Salman Fathoni

The purpose of this study was to determine and analyze the effect of the level of bank health ratios measured by BOPO, FDR and NPF on increasing the profitability of the Sharia Commercial Bank industry in Indonesia, which is proxied by ROA. The data used in this study are secondary data including operational efficiency (BOPO), liquidity (FDR), Non Performing Finance (NPF) and Return On Assets (ROA) in the sharia commercial bank industry registered at Bank Indonesia. The data is a monthly time series data from 2015-2018 obtained through the official sharia banking statistics website, Financial Services Authority (https://www.ojk.go.id). To analyze it, researchers used a multiple linear regression model with statistical tool software EViews 9. From the observations and analysis of the data that has been done, the conclusions in this study are the BOPO, FDR and NPF on ROA which is an indicator of the Bank's health to measure profitability has a high relationship . The BOPO variable partially has a significant negative effect on profitability (ROA). FDR partially has a negative and significant effect on ROA. NPF partially has no positive effect on profitability.


Sign in / Sign up

Export Citation Format

Share Document