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All Journal JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Teknika: Jurnal Sains dan Teknologi Jurnal Biodjati Turbo : Jurnal Program Studi Teknik Mesin Jurnal Agribisnis Terpadu MUST: Journal of Mathematics Education, Science and Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan CYCLOTRON EQIEN - JURNAL EKONOMI DAN BISNIS Jambura Journal of Mathematics TEKNIKA Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam Jurnal Abdidas Jurnal Statistika dan Matematika (Statmat) Journal of Mathematics Education and Science JOURNAL LA MEDIHEALTICO Al-Ijtima: Jurnal Pengabdian Kepada Masyarakat Civil Engineering For Community Development Jurnal Manajemen Informatika dan Bisnis Digital Jurnal Pengabdian Pada Masyarakat Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Journal of Community Service in Science and Engineering Trends in Mechanical Engineering Research Al-Ijtimā: Jurnal Pengabdian Kepada Masyarakat
Syarif Abdullah
Universitas Sultan Ageng Tirtayasa
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Journal : Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika

 1 
ANALISIS KESEJAHTERAAN RAKYAT PROVINSI BANTEN DENGAN MENGGUNAKAN METODE REGRESI LOGISTIK BINER Megasari, Anggita; Sukmawati, Sri; Rahmatullah, Asep; Handayani, Yolla Sukma; Abdullah, Syarif
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 4 No. 2 (2024): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v4i2.84

Abstract

People's welfare is the development target of every region in Indonesia. Banten Province ranks 3rd in the level of people's welfare on the island of Java. So that a factor analysis is needed to find out the influence of the people's welfare. This study aims to find out the binary logistic regression model based on factors that significantly affect the level of people's welfare in Banten Province and to find out how much the classification accuracy of the model obtained. The type of research used is quantitative research with the population of all people in Banten Province by looking at household characteristics, while the sample of 380 is secondary data from BPS Banten Province based on the results of Susenas activities with the Systematic Random Sampling technique. The results of the research obtained from this study are three factors that affect the level of people's welfare, namely the Head of Household Education factor (X3(2)) category of Junior High School Equivalent and the Head of Household Education factor (X3(3)) category of High School Equivalent and the Number of Household Members (X5(1)) category > 4 Members. The form of the binary logistic regression equation obtained is  with a model classification accuracy value of 89.7%, the classification accuracy obtained reaches > 50% which means that the binary logistic regression logit function is considered to be precise and quite good
ANALISIS CLUSTER INDEKS PEMBANGUNAN MANUSIA DENGAN MENGGUNAKAN METODE HIERARKI PADA KABUPATEN/KOTA DI PROVINSI BANTEN Sukmawati, Sri; Alam, Tubagus Bakhrul; Rahmatullah, Asep; Abdullah, Syarif; Sukandar, Rani Septiani
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 4 No. 2 (2024): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v4i2.86

Abstract

A high Human Development Index (HDI) greatly determines the ability of the population to absorb and manage sources of economic growth, both in relation to technology and institutions as an important means to achieve economic growth. The purpose of this study is to group districts/cities in Banten Province and find out the characteristics of each group based on the Human Development Index indicators. HDI is a composite index that shows the achievement of successful human development in a region. The research data used is secondary data with the population of all districts/cities in Banten Province. Cluster analysis is a technique used to group objects into different groups. The results of the study were obtained in 2 clusters using the single linkage, average linkage, and complete linkage methods which included the first cluster, namely Tangerang City, Tangerang Regency, Serang City, Pandeglang Regency, Serang Regency, Lebak Regency, and Cilegon City, while the second cluster was Tangerang City and South Tangerang City
IMPLEMENTATION OF ARIMA METHOD TO FORECAST CPI FOR COICOP OF FOOD, BEVERAGE AND TOBACCO IN NEW NORMAL PERIOD Mahuda, Isnaini; Rahmawati, Septi Dwi; Sukmawati, Sri; Abdullah, Syarif
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 4 No. 2 (2024): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v4i2.87

Abstract

CPI is one of the economic indicators that can provide information on development of prices for goods and services paid by consumers or the society, especially urban societies. CPI is usually used to measure price changes, but not to measure the price level. In addition, the CPI also can be used as a benchmark to determine inflation or deflation in a certain area. CPI value after the COVID-19 pandemic is the object to be predicted. There are 11 category in the CPI. This category is named COICOP which one of it is food, beverage and tobacco. The purpose of this research was to determine the ARIMA model to forecast the CPI value in the COICOP of food, beverage and tobacco in Banten Province. The data used is CPI data of COICOP for food, beverage and tobacco in Banten period January 2019 to April 2022. Based on these data obtained several prospective ARIMA models that passed the model diagnostic stage. The Models are ARIMA (0.3,1), ARIMA (1,3,0) and ARIMA (2,3,0) with MSE 1.1294, 1.9496 and 1.2484. The ARIMA (0.3.1) model was chosen because it has the smallest MSE value of 1.1294. Forecasting using the ARIMA (0.3.1) model obtained a significant increase in the CPI value from May to December 2022
Co-Authors Aditiyo Hermawan Agung Sudrajad Agusutrisno Agusutrisno Agusyarif Rezka Nuha Alam, Tubagus Bakhrul Alfian Firmansyah Alhamidi, A. Ali Arina, Faula Asep Rahmatullah Aswata Aswata Aswata Aswata Aswata Wisnuadji Atia Sonda Azhar, Fawwaz Nur Baehaki, Ahmad Bagaskara, Rafli Priyantama Ramadhan Bagaskara, Rafly Priyantama Ramadhan Baskoro Adi Hermawan Budiaji, Weksi Budiaji, Weksi Bukhari, Ahmad Caturwati , Ni Ketut Caturwati, Ni Ketut Chasanah, Sri Istiyarti Uswatun Dedy Triawan Suprayogi Delano, M Fabian Reinhard Dhimas Satria Dwi Isyana Achmad Dwinanto Dwinanto Dwinanto, Dwinanto Endang Supriyati Erny Listijorini Erwin Erwin Erwin Erwin, Erwin Erwin, Erwin Erwin, Erwin Fadwah Maghfurah Faiz, Syukron Faizah, Nabila Fajri Ikhsan Fajri Ikhsan Fajri Ikhsan Fathmi, Nur Fajria Amalia Fitroh Adilla Hadi Wahyudi Hanif Fauzan Nadif Haryadi Haryadi Haryadi Haryadi Haryadi Haryadi Haryadi, Haryadi Haryadi, Haryadi Hendra, Hendra Herayati, Herayati Himmatul Mursyidah Huda, Mifathul I Wayan Mangku Ikhsan Fajri, Ikhsan Ikhsan, Aulia Imron Rosyadi Imron Rosyadi Imron Rosyadi Iqbal Maulana Irfani Azis Ismawati, Iis Jannah, Miftahul Jannah, Miftahul Jannah, Miftahul Jannah, Miftahul Kanani, Nufus Kevin Dion Valen Boy La Ode Nashar Lestari, Rini Dwi Listijorini , Erny Listijorini, Erny Listijorini, Erny Lusiani, Rina Lusiani, Rina Lusiani, Rina Maharani, Siti Destiana Mahuda, Isnaini Majahar Ali, Majid Khan Manik, Heni Novyani Marvel, Marchello Megasari, Anggita Mekro Permana Pinem Miftahul Huda Miftahul Jannah Miftahul Jannah Muhamad Syazali Muhammad Reza Ghifari Muhtar Muhtar Mukhtar, Mukhtar Mulyati, Sri Mursyidah, Himmatul Mu’jizatin Fadiana Ni Ketut Caturwati Ni Ketut Caturwati, Ni Ketut Nina Valentika Nina Valentika Notonegoro, Hamdan Akbar Notonegoro, Hamdan Akbar Novita Ana Anggraini Nugraha, Kurnia Nugraha, Kurnia Nurhamida, Nurhamida Nurlaila, Sinta Oktarisa, Yuvita Oktaviani, Risma Pertiwi, Dinda Dwi Anugrah Pinem, Mekro Permana Pinem, Mekro Permana Pramujad, Adam Proni, Raffles Putra Putri, Elysia Tanya Qolbi, Fatimah Nurul Rahel, Gabe Nur Rahman, Gusti Arviana Rahmawati, Septi Dwi Rani Septiani Sukandar Rizqi Fauzi Robby Zidny Rofikoh, Siti Nayatu Rosyadi , Imron Saefuloh, Iman Salamah, Khadijah Barorotus Salamatun Asakdiyah Salsabila, Adinda Kanza Septiani, Melti Setiawan, Ipick Shofiatul Ula Shofiatul Ula Sholihin, Miftahus Shulhany M, Ahmad Sidik Susilo Siti Na'imah Slamet Wiyono Sri Istiyarti Uswatun Chasanah Sri Istiyarti Uswatun Chasanah Sri Istiyarti Uswatun Chasanah Sri Sukmawati Sri Sukmawati Sudiani, Rizka Falah Sudrajad, Agung Sukamto, Dwinanto Sukandar, Rani Septiani Sukardi Sukardi Sukarna, Royan Habibie Sunengsih, Neneng Suprayogi, Dedy Triawan Susilo, Sidik Susilo, Sidik Tri Listyorini Ula, Shofiatul Ula, Shofiatul Ula, Shofiatul Ula, Shofiatul Ummul Mughfiroh Usfita Kiftiyani Valentika, Nina Vivi Iswanti Nursyirwan Warli Warli Wicaksono, Agung Satrio WICAKSONO, AGUNG SATRIO Wijaya, Ferdian Bangkit Wildan Firdaus Wiyono , Slamet Wiyono, Slamet Wiyono, Slamet Yazid Rukmayadi Yazid Rukmayadi Yolla Sukma Handayani Yulianti, Amalia Dwi Yulianti, Devi Yuly Peristiowati Yustinus Purwamargapratala Yusuf , Yusvardi Yusuf, Yusvardi Yusuf, Yusvardi Yusvardi Yusuf Zaidan, Athallah Zunan Setiawan