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All Journal Jurnal Sains dan Seni ITS Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population) ASRO JOURNAL - STTAL STTAL POSTGRADUATE - INTERNATIONAL CONFERENCE Inferensi Madaniya Sewagati
Erma Oktania Permatasari
Departemen Statistika Institut Teknologi Sepuluh Nopember Surabaya
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Journal : ASRO JOURNAL - STTAL

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THE GROUPING OF VILLAGES ON KB SUPPORTING INDICATORS AS A BASIC MAPPING FOR FORMATION KAMPUNG KB IN SURABAYA Erma Oktania Permatasari; Wahyu Wibowo; Budi Priyono
JOURNAL ASRO Vol 12 No 01 (2021): International Journal of ASRO
Publisher : Indonesian Naval Technology College - Sekolah Tinggi Teknologi Angkatan Laut - STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37875/asro.v12i01.385

Abstract

Population problems in Indonesia is still important and complex issues that must be resolved. Indonesia has the fourth largest population after China, India and the United States. Uncontrolled population growth will cause problems, such as lack of employment opportunity, unemployment and increased crime. To solve these problems, the government through BKKBN (The National Population and Family Planning) increase the promotion of Family Planning (KB) with the slogan "two children are enough". To support the success of KB program, the government is introducing Kampung KB program. Based on description, this research will be investigated how the grouping of villages based on KB supporting indicators as basic mapping for formation Kampung KB in Surabaya, because Surabaya is the second largest city in Indonesia after Jakarta. The variables used in this research are contraceptive prevalence rate/ CPR, the survival rate of contraceptive use, mix contraceptive, unmet need, the number of pra prosperous and prosperous I familyies, the number of toddler, the number of elderly, long-term contraceptionon method, the number of male participation KB, the number of women of childbearing age, the number of patriarch by employment status, the number of patriarch by education level, the number of population, and the number of teenagers marriages under 20 years old. The results show that using cluster hierarchy analysis and cluster non hierarchy analysis, the optimum grouping is 4 groups. Keywords: Population, KB program, Kampung KB.
MODELING THE LEVEL OF OPEN UNEMPLOYMENT IN CENTRAL JAVA WITH MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS) APPROACH Erma Oktania Permatasari; Firda Nasuha; Carlos L Prawirosastro
JOURNAL ASRO Vol 12 No 01 (2021): International Journal of ASRO
Publisher : Indonesian Naval Technology College - Sekolah Tinggi Teknologi Angkatan Laut - STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37875/asro.v12i01.382

Abstract

The level open unemployment is a value that shows the number of working-age population who looking for work, is preparing a business, feels impossible to get a job or already have a job but have not started working and often used for measured employment. Like at Central Java has increasing the total population at 2014 and have high total investation whereas should be can getting more employment, but actually still give high unemployment about 996.344 population at 2014. So that, in this research used nonparametric regression approach which multivariate adaptive regression splines (MARS) for modeling the level open unemployment in Central Java at 2014 because the level open unemployment in Central Java predicted influence by some factors. This research resulted in the best modeling for level of open unemployment in Central Java Province with value of GCV minimum that obtained at 0,396 with R-square at 86,5 percent as well as the predictor variables were entered into the model as much as three, namely the total population with interest rate of 100 percent, the minimum wage with interest rate of 41,955 percent, and the total working population with interest rate of 39,547 percent. Keywords: MARS, Nonparametric regression, Level of open unemployment
Co-Authors A. Tuti Rumiati Adatul Mukarohmah Agnes Tuti Rumiati Al'awwa Prima Nadia Putri Amri Muhaimin Budi Priyono Carlos L Prawirosastro Dedy Dwi Prastyo Dwilaksana Abdullah Rasyid Eko Wahyu Wibowo Fadhlul Rahim Firda Nasuha Fithriasari, Kartika Husna Miratin Nuroini I Nyoman Budiantara Ismaini Zain Madu Ratna Mardiyono Mardiyono Maulana Ishaq Rhifda Zukhrufi Setiawan Setiawan Shofi Andari Syifa Annur Izzah Veniola Forestryani Vita Ratnasari Wibawati Wibawati