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All Journal Indonesian Journal of Applied Statistics
Respatiwulan Respatiwulan
Universitas Sebelas Maret
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Journal : Indonesian Journal of Applied Statistics

 1 
Analisis Sentimen Masyarakat terhadap Hasil Quick Count Pemilihan Presiden Indonesia 2019 pada Media Sosial Twitter Menggunakan Metode Naive Bayes Classifier Lingga Aji Andika; Pratiwi Amalia Nur Azizah; 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 | 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 α = 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 Faktor Indeks Harga Konsumen Kota Semarang Novia Nafisah; Respatiwulan Respatiwulan
Indonesian Journal of Applied Statistics Vol 2, No 2 (2019)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v2i2.34903

Abstract

The Consumer Price Index (CPI) can describe consumption patterns in the community. The CPI is also used to calculate inflation rates that reflect a country's economic conditions. The CPI for sub-expenditure consists of 7 groups divided into 35 sub-groups. Factor analysis on CPI was conducted to reduce variables, to identify underlying factors, and to classify variables in the Semarang City CPI expenditure group from January 2014 to August 2017. As the result, there is only one underlying factor, namely the primary needs of urban communities with cumulative variance value of 88.509%, eigenvalues of 23.012 consisting of 27 subgroup variables.Keywords : Consumer Price Index (CPI), factor analysis, eigen value
Model Penyebaran Penyakit SIR Tipe Rantai Binomial dengan Kontak Random dan Waktu Penyembuhan Bernilai Tak Hingga Ilham Asyifa Maulana Rosyid; Respatiwulan Respatiwulan; Sri Sulistijowati Handajani
Indonesian Journal of Applied Statistics Vol 3, No 2 (2020)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v3i2.44307

Abstract

Susceptible-Infected-Recovered (SIR) epidemic model is an epidemic model that illustrates the pattern of disease spread with the characteristics of individuals who have recovered cannot be re-infected and have a permanent immune system. The binomial chain type epidemic model assumes that infection spreads in discrete time units and the number of the infected individuals follows a binomial distribution. This research aims to discuss  binomial chain type SIR epidemic model by simulating the model. The transition probability depends on  the number of infected individuals in the period   the number of individuals encountered, and  the transmission probability. This model also assumes an infinite recovery time ( = ∞). This situation illustrates that infected individuals remain contagious during the period of spread of the disease. This situation can arise when the causative agent of the disease has a long life. Then simulations are performed by giving different transmission probability  The results show that the greater transmission probability will cause the probability of a new individual being infected in the next period to be greater.Keywords : SIR epidemic model, binomial chain, infinite recovery time
Co-Authors Ilham Asyifa Maulana Rosyid Lingga Aji Andika Novia Nafisah Pratiwi Amalia Nur Azizah Sri Sulistijowati Handajani