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Budi Priyono
Universitas Hang Tuah
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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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.
ANALYSIS OF PATIENT SATISFACTION WITH THE QUALITY OF HEALTH SERVICES AT NALA HUSADA DENTAL HOSPITAL (RSGM), HANG TUAH UNIVERSITY, SURABAYA 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.v12i01.375

Abstract

RSGM Nala Husada Dental Hospital, Hang Tuah University, Surabaya is a center for service, development of science, dental and maritime technology as well as being the main teaching hospital for the UHT Faculty of Dentistry in order to improve people's oral and dental health. Supported by doctors, specialist dentists, pharmacists, medics, administrative personnel and adequate dental technology, it also functions to carry out dental and oral health services that prioritize treatment and patient recovery activities carried out in an integrated manner with efforts to improve and prevent as well as carry out referral efforts. Although service facilities are available Nala Husada Hospital, Hang Tuah University, Surabaya quite complete, but because of the many existing health institutions, it is very necessary to conduct research on the level of satisfaction of Nala Husada Hospital, Hang Tuah University, Surabaya. This study aims to provide input for parties Nala Husada Hospital, Hang Tuah University, Surabaya how the level of patient satisfaction with the quality of health services at Nala Husada Hospital, then what types of services need to be improved and instruments that can be used by the parties will be provided Nala Husada Hospital, to evaluate the quality of health services at Nala Husada Hospital, Hang Tuah University, Surabaya every year. Keywords: Patient satisfaction, quality of dental and oral health services, RSGM Nala Husada
DETERMINATION OF FACTORS THAT AFFECTING THE INFANT MORTALITY RATE (IMR) IN EAST NUSA TENGGARA Erma Oktania Permatasari; Budi Priyono; Al'awwa Prima Nadia Putri
STTAL POSTGRADUATE - INTERNATIONAL CONFERENCE Vol 5 No 1 (2021): Indonesia Naval Technology College STTAL Postgraduate International Conference -
Publisher : Indonesian Naval Technology College STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Indonesian government always tries to make its people prosperous. The level of population welfare can be measured by nutritional status, mortality, and population morbidity. One of the public health statuses seen from population mortality is the Infant Mortality Rate (IMR) indicator. IMR is the number of infant deaths aged 0 to before one year out of 1000 live births. One of the regions in Indonesia that experienced IMR problems is the East Nusa Tenggara Province. The number of death cases continued to increase from 2016 to 2018. That is thought to be caused by various internal and external factors in the population. Analysis of the increase in the number of IMR can be identified by analysis using the nonparametric regression method because the relationship between the predictor variable and the response variable does not form a particular pattern. A nonparametric method used is the Multivariate Adaptive Regression Splines (MARS) because the predictor variables are high dimensions. The data processed is IMR data in East Nusa Tenggara Province in 2018 with district/city as research units and the factors that influence the occurrence of IMR. Based on the analysis, the highest IMR is owned by Sabu Raijua District, and the variables that have a significant effect on the MARS model are the percentage of births assisted by health workers and the percentage of babies with low birth weight (LBW) . Keywords : East Nusa Tenggara, Infant Mortality Rate (IMR), Multivariate Adaptive Regression Splines
Co-Authors Al'awwa Prima Nadia Putri Eko Wahyu Wibowo Erma Oktania Permatasari