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Upaya Penegakan Emansipasi Wanita melalui Optimalisasi Pembangunan Gender dengan Metode Regresi Panel Inu Alifiyah Phalufi; Raden Nabila Alya Hartarie; Ellena Novitriani; Edy Widodo
Indonesian Journal of Applied Statistics Vol 5, No 2 (2022)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v5i2.58034

Abstract

The role of women nowadays is no different from the men, only to a reasonable extent. The role of women's emancipation itself has been upheld in Indonesia, as those who will be the spearheads in family education for their children that must have broad skills and insights. The Human Development Index (HDI) is mostly becoming an important index as a measurement of the success level in quality of human life (community) building efforts. By conducting an analysis using the panel regression method in the Regency / City of West Sulawesi (as a province in Indonesia that has the 4th lowest HDI score) to find out how much women's participation can affect the level of quality of life in Indonesia and as an evaluation of which components must be improved by government for the next period in the welfare of its people. This analysis concludes that the Mamuju regency is known as the region that contributes the largest weight to the increase in GDI while the Pasangkayu regency contributes the lowest weight to the increase in GDI so that the government should make the development of supporting facilities for community welfare more equitable.Keywords : GDI, Woman Emancipation, Panel Regression
Pengelompokan Kabupaten/Kota di Provinsi Jawa Barat Berdasarkan Dampak Kerusakan Bencana Banjir Menggunakan K-Medoids Dela Gustiara; Anisa Dwi Mulyaningsih; Rahmi Anadra; Edy Widodo
Indonesian Journal of Applied Statistics Vol 5, No 2 (2022)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v5i2.65668

Abstract

The territory of Indonesia is located in geographical, geological, hydrological, and demographic conditions that allow Indonesia to be prone to disasters. The most common natural disaster in Indonesia is flooding. If accumulated, there have been 682 flood events in the country since the beginning of 2022. In Indonesia, especially West Java Province, flooding is the most common disaster, especially during the rainy season. So a study will be conducted that aims to determine the grouping of districts / cities in West Java Province based on the occurrence of flood disasters. The data used in this study were obtained from the publication of the National Disaster Management Agency. In this study, there are 4 variables of the impact of flood disasters, namely total deaths, total submerged houses, total damaged houses and total injured. The clustering method used in this research is K-Medoids. K-Medoids is one of the clustering methods that uses the partition clustering method in grouping a set of n objects into a number of k clusters. From the results of the K-Medoids analysis, three clusters were obtained. The first cluster consists of 3 districts/cities with high impact of flood disasters, the second cluster consists of 23 districts/cities with moderate impact of flood disasters, and the third cluster consists of 1 district/city with low impact of flood disasters. Based on the results of the analysis, efforts can be made by the government to focus more on designing steps that must be taken in preventing or overcoming the impact of flood disasters.Keywords: Cluster; K-Medoids; Floods West Java
Response Surface Model with Comparison of OLS Estimation and MM Estimation Salsabila Basalamah; Edy Widodo
Indonesian Journal of Statistics and Applications Vol 5 No 2 (2021)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v5i2p273-283

Abstract

Response Surface Method (RSM) is a collection of statistical techniques in the form of experiments and regression, as well as mathematics that is useful for developing, improving, and optimizing processes. In general, the determination of models in RSM is estimated by linear regression with Ordinary Least Square (OLS) estimation. However, OLS estimation is very weak in the presence of data identified as outliers, so in determining the RSM model a strong and resistant estimation is needed namely robust regression. One estimation method in robust regression is the Method of Moment (MM) estimation. This study aims to compare the OLS estimation and MM estimation method to get the optimal point of response in this case study. Comparison of the best estimation models using the parameters MSE and R^2 adj. The results of MM estimation give better results to the optimal response results in this case study.
Co-Authors ACHMAD FAUZAN Adisti Nurul Irmayanti Aditya Rizq Herlandy K Adryan Adryan Afdhah Nur Riadhoh Afifah Zahrunnisa Aisya Putri Zanuarizqi Aisya Putri Zanuarizqi Aisykha Reisla Rayhan Ajeng Retno Elprilita Almadayani Almadayani Anisa Dwi Mulyaningsih Anisa Srikandi Annisa Noor Hidayat Aprin Nurfika Azhar Apriyani Bella Thania Ashabul Akbar Maulana Astrika Praokta Fialine Athallah Widyatama Rafii Atsila Nurtsabita Chandra Arinda Handayani Cheryl Ayu Melyani Daffa Alya Alodia Danial Al Farizi Dea Aulia Nandita Dela Gustiara Desinta Eka Sari Desy Endriani Dhea Indah Syafira Said Dining Dwi Suci Riyani Ellena Novitriani Enggar Prima Jati Faried Abimanyu Faris Nasirudin Fatihatun Naja Febiyanti Alfiah Fitria Norma Aula Zahro Galuh Eka Puspita Ghaitsa Zahira Shafa Giana Artika Aprianti Giana Artika Aprianti, Giana Artika Inas Rafidah Inu Alifiyah Phalufi Istina Alya Rosyada Jihan Nurwahidaha Julfasmi Hi M. N Kosmaryati Kosmaryati Lalu Bayu Alamsyah Latifah Nur Wijayanti M. Paris Ramdoni Rasantaka Malecita Nur Atala Singgih Marwah Nur Hakim Mila Pindianti Mochamad Fahmi Ashshidiqi Muhammad Bariklana Muna Malika Muthia Citra Safira Nabila Aulia Putri Ganessa Nabila Aulia Putri Ganessa Nadhira Ferita Kusuma Nidzar Zulmi Dwisyahputra Novendri Isra Asriny Nur Mutmainnah Djafar Putri Meliana Ariani Putri Stania Adhiana Raden Nabila Alya Hartarie Rahmi Anadra Rahmi Novika Harahap Refinanda Nur Isfahani Renanta Dzakiya Nafalana Riska Yulianti Riza Amelia Choerunnisa Rosiana Rahma Dewi Salsabila Basalamah Sekti Kartika Dini Sheilta Alphenia Sheilta Alphenia Shelbi Salsabilla Sururin Syafira Irsalina Syinta Nuri Mashita Takayuki Pratama Titania Tasya Wananda Wahyu Sa'dun Akbar Wanda Listathea Putri Widya Astuti Yosi Ghea Prasetyowati Yulia Anggi Anjelina Zahrah Zeinawaqi Zakiyatul Fitriyah Zakiyatush Shufila Zumrotul Wahidah