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All Journal Jurnal Pengolahan Hasil Perikanan Indonesia Jurnal Ilmu Dasar Jurnal Gaussian JOURNAL AGRIBUSINESS BERKALA SAINSTEK AGRIKA Jurnas Nasional Teknologi dan Sistem Informasi Padjadjaran Journal of Dentistry Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis BAREKENG: Jurnal Ilmu Matematika dan Terapan Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Nusa Sylva JURNAL ILMIAH MAHASISWA AGROINFO GALUH Ekonis : Jurnal Ekonomi dan Bisnis JURNAL PENELITIAN EKONOMI DAN AKUNTANSI (JPENSI) RISTEK : Jurnal Riset, Inovasi, dan Teknologi Kabupaten Batang Akuntoteknologi : Jurnal Ilmiah Akuntansi dan Teknologi Jurnal Ilmu Pertanian Tirtayasa Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Food ScienTech Journal ESTIMASI: Journal of Statistics and Its Application Jurnal Abdimas Kartika Wijayakusuma Langit Biru: Jurnal Ilmiah Aviasi PHARMACOLOGY, MEDICAL REPORTS, ORTHOPEDIC, AND ILLNESS DETAILS (COMORBID) RISTEK: Jurnal Riset, Inovasi dan Teknologi Kabupaten Batang Abdi-Dharma Agrivet: Jurnal Ilmu-ilmu Pertanian dan Peternakan Ekombis Sains: Jurnal Ekonomi, Keuangan dan Bisnis Global Accounting : Jurnal Akuntansi Proceeding Muhammadiyah International Public Health and Medicine Conference Mamangan Social Science Journal INJURITY: Journal of Interdisciplinary Studies Teknologi dan Industri Pertanian Indonesia International Journal of Application on Economics and Business Jurnal Pengabdian Masyarakat Nian Tana Journal of Economic and Economic Education Al-Istinbath : Jurnal Ilmu Hukum dan Hukum Keluarga Islam TRIDAYA: Jurnal Pengabdian Kepada Masyarakat
Dian Anggraeni
Fakultas Pertanian Universitas Sultan Ageng Tirtayasa Jalan Raya Jakarta Km 4 Pakupatan Serang-Banten
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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Journal : ESTIMASI: Journal of Statistics and Its Application

 1 
Analisis Faktor Risiko Kematian Ibu di Kabupaten Jember Menggunakan Cox Proportional Hazard Roydatul Jamila; Mohamat Fatekurohman; Dian Anggraeni
ESTIMASI: Journal of Statistics and Its Application Vol. 4, No. 2, Juli, 2023 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v4i2.26669

Abstract

Maternal mortality is the death of a woman who is pregnant, giving birth and childbirth to the pregnancy or its handler. Maternal mortality in East Java Province still quite high with the highest number of deaths in 2021 is Jember Regency. The purpose of this paper is to determine risk factors that cause death in an effort to reduce the number of maternal deaths. Method used for the analysis of risk factors for maternal mortality is survival analysis with the Cox Proportional Hazard model. Survival analysis purpose to assess the relationship of predictor variables to survival time to determine maternal survival. Cox Proportional Hazard model is one of the models in survival analysis that is often used. Selection of the best model for Cox Proportional Hazard is carried out to determine the factors that have a significant effect. The best model is done by selecting the smallest AIC value backwards. Parameter significance test on the best model was carried out simultaneously and partially. Results obtained for maternal mortality factors in Jember Regency are anemia status and parity.
Perbandingan Metode Naïve Bayes Classifier dengan Metode Random Forest pada Prediksi Rating Review Drama Korea Meisty, Ferisa Dwi Alfia; Anggraeni, Dian; Fatekurohman, Mohamat
ESTIMASI: Journal of Statistics and Its Application Vol. 5, No. 1, Januari, 2024 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v5i1.26942

Abstract

Korean dramas have very many fans and are spread in various countries. This study aims to determine whether the korean drama is classified as Bagus, Tidak Bagus, or Cukup Bagus and compares two methods, namely the naïve bayes classifier method and the random forest method in predicting korean drama review ratings. This study shows that the naïve bayes classifier and random forest methods are capable of predicting korean drama review ratings. In the prediction review, the random forest method obtained an accuracy value of 89%, while the naïve bayes classifier method obtained an accuracy value of 86%. In rating predictions, the random forest method obtains an accuracy value of 41%, while the naïve bayes classifier method obtains an accuracy value of 40%. The conclusion of this study is that the random forest method is superior and accurate in predicting Korean drama review ratings.
Penentuan Arsitektur Terbaik Model NAR-NN untuk Peramalan Kasus Covid-19 Awalin, Qonita Ilmi; Anggraeni, Dian; Hadi, Alfian Futuhul
ESTIMASI: Journal of Statistics and Its Application Vol. 6, No. 1, Januari, 2025 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v6i1.21365

Abstract

The NAR-NN model will be applied in time series forecasting, namely data on confirmed cases of Covid- 19 in East Kalimantan Province. The use of time series data as the basis for forecasting so that it can recognize patterns that occur which can then be used as a reference to predict the number of cases that will occur. This research data is 300 daily data for the time period from October 23, 2020 to August 18, 2021, which follows a nonlinear pattern and experiences an upward trend. In this study, the best architecture was determined for the NAR-NN model using the sigmoid activation function and the Levenberg-Marquadt Backpropagation training algorithm. The NAR-NN architecture consists of three layers, namely the input layer, the hidden layer, and the output layer. The evaluation model used is the Mean Absolute Percentage Error (MAPE). The results of this study by experimenting with the number of hidden neurons showed that the model with the best architecture at the time of delay was 4 and the number of hidden neurons was 8 with the MAPE value forecast with actual data of 7.5083%.
Co-Authors Agnestia, Citra Agus Kusnawan Agus Permana Ahmad Kamsyakawuni Ahmad Mujaki Diwan Alfarisi, Muhammad Naufal Alfian Futuhul Hadi Alfian Nugraha Algantya, Vylda Yuni Aliudin Aliudin - Aliudin Aliudin Aliudin Aliudin Aliudin Aliudin AM, Kartina Andriyani Andry Nirwanto Andy Andy Angelina Lucia Anggraeni, Ganung Anita Metta Sari Anjani, Anisa Fitri Anton Eka Prasetia Asri Jaya Awalin, Qonita Ilmi Beatrice, Beatrice Dewi Mulyawati Dewi, Arina Kartika Dini Kartika Sari Dwi Irianto, Retno Dwi Putra, Candra Yanuar Eha Patihah Eka Laelah Ernyasih Evi Sovia Fajrin, Alya Assyifa Fitria Riany Eris Frida Murtinasari, Frida Ginny, Puti Lenggo Gita Dwi Lestari Hakim, Mohamad Zulman Herijawaty, Etty Herlina Herlina I Made Tirta Ika Pratiwi jaka sumardyanto Jakobus Runkat, Jakobus Jejen Aripin Kamila, Andin Kurniati Kusnawan, Agus Laluur, Eugenius Lidia Sinabang Limajatini, Limajatini Liman, Ineh Masruroh MASRUROH Meisty, Ferisa Dwi Alfia Melatnerbar, Benyamin Meutia Meutia Meutia, Meutia Mohamad Fatekurohman Muhammad Dhabit Dzikribillah Muhammad Rizal Febriansah Munandar, Aris Netta Azzahra Pangesti Nia Ariani Putri Nugraha, Rhea Veda Nurmalia Lusida Oke Hendra Parameswari, Rinintha Peng Wi Poetri Inova, Nisrina Jelita Prayogo, Rizky Rachellia, Rachellia Rachman, Hidayatul Ramadhani, Lutvia Citra Ratna Mega Sari Ratwita, Welly Regina Regina Rita Purnamasari Riza Fikriana Rizal, Navioer Robby Mubarok Roosje Rosita Oewen, Roosje Rosita Rosada, Nilta Roydatul Jamila Rudi hastomo rusbandi rusbandi, rusbandi Salampessy, Messalina L. Samara, Aldi Sanjaya, Marco Santamoko, Ruby Santomoko, Ruby Selfiyan Selfiyan Selfiyan Setiawan Sariyoga Setiawan Sariyoga, Setiawan Setiawan, Johan Shella Fajru Nailufar Silaswara, Diana Sofiyudin, Andriyatno Sri Fitriyah Stefen Wardana Suherna Suherna Suherna Suherna Sulaeni, Sulaeni Sulistiyowati, Rina Syarief Hidayat Tarissa, Tarissa Taufik Hidayat Taufik Hidayat The, Lianah Tiara Muthiarsih Tirta, Made Ullah, Nasrullah Wi, Peng Winda Nurtiana Wiwik Handayani Wiwit Dwi Nurbadriyah yahya kamal Yeni Budiawati Yohamintin Zulfatun Najah Zulfatun Najah