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Siti Muchlisoh
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Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Perbandingan Kinerja Metode Hybrid KNNI-GA dan MissForest Dalam Menangani Missing Values Lalu Moh. Arsal Fadila; Siti Muchlisoh
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.681 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1315

Abstract

A good and correct survey business process is to select a representative sample in order to obtain quality data. However, one of the relevant problems in data quality is the presence of missing values. Missing value is found in almost all large-scale data collections. Missing values ​​can cause all sorts of problems. Therefore, it must be addressed. One way to overcome missing values ​​is the imputation method. Hybrid KNNI-GA and missForest are imputation methods that can be used to handle missing values. Hybrid KNNI-GA uses a genetic algorithm to select the optimum k value and requires predictor variables to perform imputation. Meanwhile, missForest forms a model to carry out the imputation process. This study compares the hybrid KNNI-GA and missForest in dealing with missing values ​​in terms of estimator accuracy and computational performance. The simulation results obtained, the KNNI-GA hybrid is better than missForest in terms of estimator accuracy. Meanwhile, missForest's computational performance is more stable than the KNNI-GA hybrid.
Determinan Kinerja Usaha E-Commerce di Pulau Jawa Masa Pandemi Covid-19 Tahun 2020 Athaya Salwa Syahirah; Siti Muchlisoh
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1665

Abstract

Covid-19 has pushed companies to close their businesses and increased unemployment. Indonesia now has to fight harder to overcome the problems of poverty and unemployment plus health problems. Based on BPS data, Indonesia's TPT in August 2020 increased by 1.84 percent compared to August 2019. Covid-19 also encourages the use of E-Commerce by the community in running their businesses. Businesses that have utilized E-Commerce are still mostly concentrated in Java. This study aims to determine the general description of E-Commerce business performance and the variables that are thought to affect it in Java during the Covid-19 pandemic in 2020 and analyze these variables and their trends. The method used is binary logistic regression analysis. The results show that E-Commerce business owners who are female, belong to Gen Z and Y, started selling online in 2017-2020, have financial statements, use agents, and experience an increase in online sales volume during the Covid-19 pandemic in 2020 have a tendency to experience a greater increase in business performance than E-Commerce businesses with other characteristics.
Penerapan Regresi Logistik Biner untuk Menganalisis Determinan Status Stunting Pada Balita di Provinsi Sulawesi Tengah Tahun 2018 Eross Wahyu Pamungkas; Siti Muchlisoh
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1744

Abstract

Stunting is still a nutritional problem experienced in several provinces in Indonesia. Central Sulawesi is one of the provinces in Indonesia with a stunting prevalence above the national rate. The stunting prevalence of Central Sulawesi Province in 2018 was 32.3 percent. This figure is still far from the World Health Organization standard, which is 20 percent for low category stunting. In the period 2018-2021, the decline in the prevalence of stunting among children under five in Central Sulawesi Province also tends to be slow compared to other provinces. In addition, the distribution of stunting in Central Sulawesi Province based on districts and cities also varies. This study aims to determine the determinants of stunting in toddlers in Central Sulawesi Province in 2018 using Riskesdas data. The method used in this study is binary logistic regression. The results of this study are, father's education, mother's education, and SEZ status in mothers have a significant effect on the stunting status of toddlers. Therefore, the government needs to optimize the 12-year compulsory education program, and pay attention to maternal health by improving existing health facilities.
Co-Authors Ahmad Arif Firmansyah Athaya Salwa Syahirah Dewi Widyawati Eross Wahyu Pamungkas Iman Jihad Fadillah Lalu Moh. Arsal Fadila Mohammad Ammar Alwandi Muh. Reza Agung Wirawan Muhammad Alfiyan Chairi Hakim Muhammad Rifqi Maulana Firdaus Uzlifatul Jannah Yogi Juniarto Ziko Mildulandy Rahim