cover
Contact Name
Hasih Pratiwi
Contact Email
hpratiwi@mipa.uns.ac.id
Phone
+6282134673512
Journal Mail Official
ijas@mipa.uns.ac.id
Editorial Address
Study Program of Statistics, Universitas Sebelas Maret, Surakarta 57126, Indonesia
Location
Kota surakarta,
Jawa tengah
INDONESIA
Indonesian Journal of Applied Statistics
ISSN : -     EISSN : 2621086X     DOI : https://doi.org/10.13057/ijas
Indonesian Journal of Applied Statistics (IJAS) is a journal published by Study Program of Statistics, Universitas Sebelas Maret, Surakarta, Indonesia. This journal is published twice every year, in May and November. The editors receive scientific papers on the results of research, scientific studies, and problem solving research using statistical method. Received papers will be reviewed to assess the substance of the material feasibility and technical writing.
Articles 30 Documents
PENGELUARAN PARIWISATA DAN KARAKTERISTIK SOSIAL DEMOGRAFI RUMAH TANGGA DI PROVINSI JAWA TENGAH Subanti, Sri; Hakim, Arif Rahman
Indonesian Journal of Applied Statistics Vol 1, No 1 (2018)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (341.666 KB) | DOI: 10.13057/ijas.v1i1.24120

Abstract

The study about tourism expenditure had been one of the important things in the formulation of tourism development, such as marketing analysis, strategies, and policies. Based on this condition, the purpose of our paper wants to know about the determinants of tourism expenditure at households level based on their demographic characteristics. The findings of this paper, (1) the important factors affecting household tourism expenditure are marital status, sex, household income per capita, education for heads of households, the length of study for household members in average, number of households, urban-rural, and industrial origin for head of household; (2) variables that are positively related to tourism expenditure are marital status, age, education, number of household, household income per capita, the length of study for household members in average, urban-rural, and home ownership. This paper suggest that the local governments should give an attention on households demographic characteristics to formulate the tourism marketing and the tourism policies.Keywords : tourism expenditure, demographic characteristics, households
ANALISIS SENTIMEN MASYARAKAT TERHADAP HASIL QUICK COUNT PEMILIHAN PRESIDEN INDONESIA 2019 PADA MEDIA SOSIAL TWITTER MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER Andika, Lingga Aji; Azizah, Pratiwi Amalia Nur; Respatiwulan, Respatiwulan
Indonesian Journal of Applied Statistics Vol 2, No 1 (2019)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (479.859 KB) | DOI: 10.13057/ijas.v2i1.29998

Abstract

Indonesia is one of the countries that adheres to a democratic system. In the course of a democratic system it is marked by periodic general elections. In 2019 Indonesia held a general election simultaneously to elect the President, DPR, DPRD and DPD. After the election, a lot of opinion arise within the community, including on social media twitter. One of the topics discussed was the results of the quick count of the presidential election. Therefore, a method that can be used to analyze sentiment from the quick count opinion is needed, that is naive Bayes method. The aims of this study are to find the best naive Bayes model and to classify sentiments. The result shows the best accuracy of 82.90% with ? = 0.05. The classification obtained is 34.5% (471) positive tweets and 65.5% (895) negative tweets on the results of the quick count.Keywords : sentiment analysis, naive Bayes classifier, elections, quick count
ANALISIS PREMI ASURANSI JIWA MENGGUNAKAN MODEL COX PROPORTIONAL HAZARD Fajarini, Firda Anisa; Fatekurohman, Mohamat
Indonesian Journal of Applied Statistics Vol 1, No 2 (2018)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (939.954 KB) | DOI: 10.13057/ijas.v1i2.25280

Abstract

Cox proportional hazard model is a regression model that is used to see the factors that cause an event. The survival analysis used in this research is the period of time the client is able to pay the life insurance premium using Cox proportional hazard model with Breslow method.The purpose of this research is to know how sex, age, insured money, job, method of payment of premium, premium, and type of product can influence the level of ability of client to make payment of life insurance premium based on customer data from PT. BRI Life Insurance Branch of Jember in 2007.The result of this research is the final model of Cox proportional hazard obtained from several variables which have significant influence with simultaneous and partial significance test is the variable of insured money (X3), variable of payment method of premium (X5), premium variable (X6) , and insurance product variable (X7) . The four variables are said to have a significant effect on the model, so that the final model of Cox proportional hazard is obtained that consists of the parameter estimation (?) value of each variable Keywords : survival analysis; cox proportional hazard model; breslow method; life insurance.
BACK MATTER VOL 2 NO 2 Pratiwi, Hasih
Indonesian Journal of Applied Statistics Vol 2, No 2 (2019)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (115.786 KB) | DOI: 10.13057/ijas.v2i2.38496

Abstract

APLIKASI MODEL COX PROPORTIONAL HAZARD PADA PASIEN STROKE RSD BALUNG KABUPATEN JEMBER Qomaria, Tutik; Fatekurohman, Mohamad; Anggraeni, Dian
Indonesian Journal of Applied Statistics Vol 2, No 2 (2019)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (783.026 KB) | DOI: 10.13057/ijas.v2i2.34907

Abstract

According to the World Health Organization (WHO) cardiovascular disease is a disease caused by impaired heart and blood vessel function. There are many types of cardiovascular disease, but the most common and most well-known are coronary heart disease and stroke. Stroke is a syndrome characterized by symptoms and / or rapidly developing clinical signs in the form of focal and global brain functional disorders lasting more than 24 hours (unless there are surgical interventions or bringing death), which are not caused by other causes besides vascular causes. The number of stroke patients in Indonesia in 2013 based on the diagnosis of health personnel (Nakes) was 1.236.825 (7,0%), while based on the diagnosis of symptoms was 2.137.941 (12,1%). In this study the factors that can affect the survival of stroke sufferers were analyzed using the Cox proportional hazard regression model, the dependent variable was the length of time the patient was treated and the independent variables were gender, age, hypertension status, cholesterol status, Diabetes Militus (DM) status, stroke type, and Body Mass Index (BMI). The result showed that age, DM status, and type of stroke were the most influential factors on the survival of stroke patients at Balung Regional Hospital.Keywords : stroke disease, survival analysis, Cox proportional hazard model
PERAMALAN TINGKAT PENGHUNIAN TEMPAT TIDUR HOTEL BINTANG TIGA KOTA SURAKARTA MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Pratiwi, Shindy Dwi
Indonesian Journal of Applied Statistics Vol 2, No 1 (2019)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1090.32 KB) | DOI: 10.13057/ijas.v2i1.31428

Abstract

Surakarta is a cultural city that is now starting to attract domestic and foreign tourists. This makes many tourists visit the city of Surakarta so that it affects the occupancy rate of hotels in Surakarta. The occupancy rate of hotels in Surakarta has fluctuations from each year. The uncertainty of hotel occupancy rates in Surakarta will certainly affect investors to choose policies in the hotel industry so that hotel occupancy rates in Surakarta City need to be estimated for the next year. In this study, the Autoregressive Integrated Moving Average (ARIMA) method was used to forecast hotel occupancy rates in Surakarta from January to May 2018. By using the best model IMA (1.1), it was concluded that the occupancy rate of three-star Surakarta hotels increased every the month.Keywords : occupancy rate of hotel, forecasting, ARIMA.
ANALISIS KETAHANAN HIDUP PASIEN KANKER PARU MENGGUNAKAN REGRESI WEIBULL Solehah, Arivatus; Fatekurohman, Mohamat
Indonesian Journal of Applied Statistics Vol 1, No 2 (2018)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (657.934 KB) | DOI: 10.13057/ijas.v1i2.25276

Abstract

Lung cancer is one of the diseases which difficult to detect because of uneasy symptoms detection till it develops being the risky one. But, if the disease has been found, it can spread fast and cause death. According to the data of WHO, the type of cancer which causes the most of death is lung cancer which reaches 1,3 milion death per year. Therefore, a survival analysis will be conducted to determine factors that affect the survival of lung cancer patient by using Weibull regression. The result shows some factors that significantly influence the survival of lung cancer patient are gender, erythrocyte, and general condition. Keywords : lung cancer; survival analysis; Weibull regression
PENERAPAN MODEL GEOGRAPHICALLY WEIGHTED REGRESSION(GWR) PADA PRODUKSI UBI JALAR Susanti, Yuliana
Indonesian Journal of Applied Statistics Vol 1, No 1 (2018)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (949.262 KB) | DOI: 10.13057/ijas.v1i1.24114

Abstract

Sweet potatoes are a major source of carbohydrate, after rice, corn, and cassava. Sweet potato is consumed as an additional or side meal, except in Irian Jaya and Maluku, sweet potato is used as staple food. The main problem faced in increasing sweet potato production is still relies on certain areas, namely Java Island, as the main producer of sweet potato. Differences in production is what often causes the needs of sweet potato in various regions can not be fulfilled and there is a difference price of sweet potato. To fulfill the needs of sweet potato in Java, mapping areas of sweet potato production need to be made so that areas with potential for producing sweet potato can be developed while areas with insufficient quantities of sweet potato production may be given special attention. Due to differences in production in some areas of Java which depend on soil conditions, altitude, rainfall and temperatures, a model of sweet potato production will be developed using the GWR model. Based on the Geographically weighted regression model for each regencies / cities in Java Island, it can be concluded that the largest sweet potato production coming from Kuningan with R2 equal 99.86%.Keywords : Geographically weighted regression, model, sweet potato
REGRESI DATA PANEL UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMPENGARUHI PDRB DI PROVINSI DIY TAHUN 2011-2015 Nandita, Dea Aulia; Alamsyah, Lalu Bayu; Jati, Enggar Prima; Edy Widodo
Indonesian Journal of Applied Statistics Vol 2, No 1 (2019)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (589.036 KB) | DOI: 10.13057/ijas.v2i1.28950

Abstract

Population growth can encourage and hinder economic growth. This study aims to analyze the factors that influence gross domestic product (GDP) in Daerah Istimewa Yogyakarta (DIY) using panel data regression. This study uses three independent variables, namely number of population, number of poor population, and investment, while the dependent variable is GDP. We use secondary data obtained from Badan Pusat Statistik (BPS). The results obtained from the regression analysis of the data series time panel are generalized least square (GLS), while for the cross section data panel shows the REM model is more suitable than PLS and FEM. Based on the validity test of the influence or t-test, the variable that shows significant to the economic rate which is categorized as GRDP in the Daerah Istimewa Yogyakarta in 2011-2015 is the variable Total population and Investment which has a positive relationship.Keywords : economic growth rate, panel data regression, gross regional domestic product
FRONT MATTER VOL 2 NO 2 Pratiwi, Hasih
Indonesian Journal of Applied Statistics Vol 2, No 2 (2019)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (121.878 KB) | DOI: 10.13057/ijas.v2i2.38495

Abstract

Page 1 of 3 | Total Record : 30