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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Unnes Journal of Mathematics
Wiwik Wiyanti
Statistics Department, Matana University
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Mathematics Nursing

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Efektivitas Metode Exponential Smoothing untuk Prediksi Data Runtun Waktu Pola Tren dan Non-musiman (Studi Kasus Cakupan Vaksinasi Covid-19): Efektivitas Metode Exponential Smoothing untuk Prediksi Data Runtun Waktu Pola Tren dan Non-musiman (Studi Kasus Cakupan Vaksinasi Covid-19) Wiwik Wiyanti
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 1 (2023): SEPTEMBER, 2023
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i1.27193

Abstract

Purpose of this research is effectiveness the exponential smoothing for predict the time series data which has trend and non-seasonal characteristic. In this research using data case vaccinate of covid-19 1st, 2nd, 3rd and 4th. The advantage of this research is we can choose the best method for this type data. The methodology of this research is quantitative, with analyze data method is exponential smoothing (SES, ARRSES, and HOLT’S linear). The result of data analyze is the predict error for four vaccinate data are very close to zero. SES gets 0% to 0,73%, ARRSES gets 0% to 0,66% and Holt’s linear gets 0% to 0,29%. The result of this research can conclude that exponential smoothing method effective for predict the data with trend and non-seasonal data.  
Comparison Predictions of the Demam Berdarah Dengue (DBD) using Model Exponential Smoothing: Pegel’s Classification and ChatGPT Wiwik Wiyanti; Bakti Siregar
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 2 (2024): JANUARY 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i2.32122

Abstract

The evolution of AI since the Covid-19 pandemic has developed very rapidly. Until 2023, AI is claimed to be a threat to several professional jobs, especially data analysts and scientists. The purpose of this research is to check the effectiveness chat-GPT to predict about demam berdarah dengue (DBD) case. Method of the analyzing the data in this research is Mixed method. Quantitative method using exponential smoothing: pegel’s classification and qualitative method using GPT-3. The aim of this research is to check whether ChatGPT can predict the demam berdarah dengue (DBD) data time series. The prediction result are check it by exponential smoothing: pegel’s classification method. The benefit of this research is it can be used to reference how far the evolution of AI can be threaten the profession of data analyst or data scientist. The result of this study conclude that the ChatGPT (GPT-3) can’t predict DBD’d data correctly.
Survival Analysis of Penile Cancer Patients Using Cox-Proportional Hazard and GPT-4 Wiwik Wiyanti
Jurnal Matematika, Statistika dan Komputasi Vol. 21 No. 1 (2024): SEPTEMBER 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v21i1.35774

Abstract

Today, in 2024, the evolution of the evolution of artificial intelligence (AI) is very impressive. An AI product that continues to develop is ChatGPT. The threat of ChatGPT to some job professions is real. Beside that, ChatGPT also helps many professions make their work easier. In this research, we analyze the survival analysis of penile cancer patients. The design of this research is mixed-method (quantitative-qualitative). The quantitative and qualitative methods that were used are Cox-proportional hazards and GPT-4, respectively. Based on quantitative analysis, it can be concluded that the Survival and Hazard model for study penile cancer are  and  , respectively. The predicted chances of survival and death for the patient in stage 2, 14 days after surgery, are 40% and 60%, respectively. Based on qualitative analysis, GPT-4 cannot quantitatively obtain the cox proportional hazard number. However, even so, GPT4 can read the cox proportional hazard output image, providing Python and R survival analysis coding quite perfectly. Thus, the qualitative method's conclusion is that GPT-4 can greatly assist data analysts in their analysis of survival data.
Implementation of state space method for forecasting the number of patients with HIV/AIDS infectious diseases Wiwik Wiyanti
Unnes Journal of Mathematics Vol 12 No 1 (2023)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v12i1.67789

Abstract

This research concerns about the implementation of the State Space method for forecasting to the number of people with infectious diseases (a case study is the number of people with HIV/AIDS) in the Indonesia. The research was conducted from August 2022 to November 2022. The data obtained from kagle, namely new cases of HIV/AIDS infection. In this research, HIV data from 1990 to 2019 was used for forecast analysis. The forecasting method in this research is State Space method. Predict of new cases will found in 2020, 2021, 2022 and 2023 are 14095,14139, 14167 and 14184 respectively. The forecast analysis result obtained that the mean absolute percentage error is 0,4%.
Workshop Peran Statistika Data Sains untuk Siswa-siswi SMA WASKITO Wiyanti, Wiwik; Agatha, Dhela Asafiani; Widjaya, Ferdinand Nathaniel
Abdimas Galuh Vol 6, No 2 (2024): September 2024
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v6i2.15099

Abstract

Permintaan data saintis yang mumpuni di Indonesia saat tulisan ilmiah ini dibuat sedang terus meningkat. Pengetahuan dasar statistika yang berhubungan dengan data sains tentunya diharapkan dapat dibekalkan kepada generasi muda sedini mungkin. Penelitian ini bertujuan untuk mengedukasi peran statistika dalam data sains kepada siswa-siswi SMA Waskito. Metode penelitian yang digunakan untuk keperluan analisa data adalah penelitian Mixed-Method. Adapun parameter kuantitatif yang diukur adalah apakah nilai rata-rata hasil pembelajaran melalui workshop peran statistika data sains untuk kelas XII SMA Waskito lebih dari 70 secara signifikan atau tidak. Sampel yang digunakan dalam penelitian ini adalah 176 siswa kelas XII SMA Waskito. Adapun analisa data menggunakan inferensia One Mean . Dari hasil analisa data diperoleh kesimpulan bahwa dari data post-test yang diperoleh tidak cukup bukti untuk mengatakan bahwa rata-rata nilai post-test lebih besar dari 70. Adapun saran untuk PKM selanjutnya adalah mengelola kelas secara virtual ataupun menggunakan laboratorium untuk praktikum, supaya hasil pembelajaran efektif dan tepat guna.
Co-Authors Agatha, Dhela Asafiani Bakti Siregar Widjaya, Ferdinand Nathaniel