Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : VARIANSI: Journal of Statistics and Its Application on Teaching and Research

ANALISIS BAYESIAN SURVIVAL WEIBULL UNTUK MENENTUKAN FAKTOR YANG MEMPENGARUHI LAJU KESEMBUHAN PASIEN RAWAT INAP KANKER SERVIKS DI RSDU KOTA MAKASSAR Nini Harnikayani Hasa; M Nadjib Bustan; Aswi Aswi
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 4 No. 1 (2022)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.876 KB) | DOI: 10.35580/variansiunm6

Abstract

Survival analysis is a statistical procedure for analyzing data where the response variable is the time until the occurrence of an event. In this study, Bayesian survival Weibull was used to determine the factors that influence the rate of recovery of cervical cancer inpatients. The data used in this study is cervical cancer inpatient data at the Makassar City Hospital for the 2017-2019 period. Based on the results of the analysis, it was found that a significant factor affecting the healing rate of cervical cancer inpatients was complications. Cervical cancer inpatients who experience complications tend to recover slower by 0.258 than patients who do not experience complications.
PENERAPAN METODE RANDOM FOREST UNTUK KLASIFIKASI VARIAN MINUMAN KOPI DI KEDAI KOPI KONIJIWA BANTAENG Suci Amaliah; Muhammad Nusrang; Aswi Aswi
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 4 No. 3 (2022)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (595.241 KB) | DOI: 10.35580/variansiunm31

Abstract

Random Forest (RF) adalah metode yang dapat meningkatkan hasil akurasi dalam membangkitkan atribut untuk setiap node yang dilakukan secara acak. Penelitian ini bertujuan untuk mengetahui tingkat akurasi metode RF dalam memprediksi varian minuman kopi di kedai Konijiwa Bantaeng yang paling diminati pelanggan. Berdasarkan hasil analisis diperoleh bahwa model dengan error klasifikasi terkecil adalah dengan menggunakan mtry 2 dan ntree 500. Model yang dihasilkan dievaluasi dengan menggunakan confusion matrix dimana diperoleh bahwa varian minuman kategori coffee based lebih diminati daripada signature coffee dengan nilai akurasi sebesar 94,12%.
Penerapan Metode Singular Spectrum Analysis dalam Peramalan Jumlah Produksi Beras di Kabupaten Gowa Rezki Amalia Idrus; Ruliana Ruliana; Aswi Aswi
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 4 No. 2 (2022)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (573.022 KB) | DOI: 10.35580/variansiunm40

Abstract

Total rice production in Gowa Regency from January 2018 to December 2020 has decreased which is not significant every month, so it is necessary to do a forecast to anticipate food shortages in the future. This study aims to determine the yield of rice production in Gowa Regency and to model data from October 2021 to September 2022 using the Singular Spectrum Analysis (SSA) method. Based on the results of the analysis, the MAPE value obtained is 6.32% so it can be said that forecasting using the SSA method is very accurate
Co-Authors A. Nurul Amalia AA Sudharmawan, AA Abdul Rahman Aidid, Muhammad Kasim Andi Feriansyah Andi Feriansyah Andi Gagah Palarungi Taufik Andi Muhammad Ridho Yusuf Sainon Andin P Andi Shahifah Muthahharah Ankaz As Sikib Annas, Suwardi Asrirawan Awaluddin Awaluddin Awi Awi Awi Dassa Bobby Poerwanto Bobby Poerwanto Bobby Poerwanto Bustan, Muhammad Nadjib Halimah Husain Hammado, Nurussyariah Hisyam Ihsan Idul Fitri Abdullah Imam Akbar Muttaqin Ina Rahma Irwan Irwan Isnaini, Mardatunnisa Kaito, Nurlaila M Nadjib Bustan Mahadtir, Muhamad Mardatunnisa Isnaini Mauliyana, Andi Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Ammar Naufal Muhammad Arif Tiro Muhammad Arif Tiro Muhammad Arif Tiro Muhammad Arif Tiro Muhammad Arif Tiro Muhammad Arif Tiro, Muhammad Arif Muhammad Fahmuddin Muhammad Fahmuddin Muhammad Fahmuddin Muhammad Fahmuddin Sudding Muhammad Kasim Aidid Mutmainnah Mutmainnah Natalia, Derliani Nini Harnikayani Hasa Nur Aziza S Nurhilaliyah Nurhilaliyah Nurhilaliyah Nurhilaliyah Nurhilaliyah Nurhilaliyah, Nurhilaliyah Nurkaila Kaito Nurul Fadilah Syahrul Nurul Ilmi Nusrang, Muhammad Oktaviana Oktaviana Poerwanto, Bobby Putri, Siti Choirotun Aisyah Rahman, Abdul Rahmawati Rahmawati Ramadani, Reski Aulia Rezki Amalia Idrus Ruliana Ruliana Ruliana Ruliana Ruliana Ruliana, Ruliana Sahlan Sidjara Salsabila, Afifah Sapriani Shanty, Meyrna Vidya Siti Choirotun Aisyah Putri Sri Ayu Astuti Sri Rahayu Suardi, Shafira Suci Amaliah Sudarmin Sudarmin Sudarmin Sudarmin Sudarmin Sudarmin Sukarna Sukarna Sukarna Sukarna Sukarna Sukarna Sukarna Sukarna Sukarna Supriadi Yusuf Susanna Cramb Suwardi Annas Suwardi Annas Syafruddin Side Wahidah Sanusi Wea, Maria Dominggo Yassar, La Ode Salman Zulhijrah Zulhijrah Zulhijrah Zulkifli Rais