ANALYSIS OF EDUCATIONAL FACTORS, INTEREST AND MOTIVATION TOWARDS THE BEHAVIOR OF EARLY DETECTION OF CA CERVIKS IN WOMEN OF FERTILE AGE IN THE UPT HEALTH CENTER KEMBANGBAHU LAMONGAN

  

ANALYSIS OF EDUCATIONAL FACTORS, INTEREST AND MOTIVATION

TOWARDS THE BEHAVIOR OF EARLY DETECTION OF CA CERVIKS IN

WOMEN OF FERTILE AGE IN THE UPT HEALTH CENTER KEMBANGBAHU

1 LAMONGAN

  

₂

₂ Lilik Darwati , Abdul Muhith , Nurwijayanti Nurwijayanti ₁ Student Post Graduate Program ₂ Lecturer Post Graduate Program

Institute of Health Science Surya Mitra Husada Kediri

Email: lilik.dw.lamongan@gmail.com

  

ABSTRACT

CA cerviks is the most common cancer in women. Therefore necessary prevention

efforts as early as possible with early detection of ca cerviks. The purpose of the study to find

out the influence of factors of education, interest and motivation towards the behavior of early

detection of ca cerviks in the WUS in the health Kembangbahu Lamongan design research

using observational analytic with cross design sectional. The entire population is WUS 9476

in UPT Kembangbahu Lamongan with 369 samples of respondents taken with engineering

porportional cluster random sampling. Free Educational variables, interests, motivation to use

the questionnaire and conduct early detection terikatnya variable using observations. Data

analysis with logistic regression test. From the results of the study known to almost half of the

respondents in the implementation of education ca cerviks including less i.e. 130 respondents

(35.2%), almost half of the respondents had a high interest in implementing early detection of

ca cerviks i.e. 163 respondents (44.2%), nearly half of respondents have low motivation

implement early detection of ca cerviks i.e. 149 respondents (40.4%) and most of the

respondents implement early detection of ca cerviks with papsmear IE as much as 271

respondents (73.7%) of a total of 369 respondents . There are educational factors influence

behaviour towards early detection of ca cerviks in the WUS (p value 0.000 < 0.05 then Ho

denied), there is interest in behavioral factors influence early detection of ca cerviks in the

WUS (p value 0.000 < 0.05 then Ho denied), there is the influence of motivation factors

against the behavior of early detection of ca cerviks in the WUS (p value 0.05 then Ho 0.004 <

rejected) and there the influence factors of education, interest and motivation towards the

behavior of early detection of ca cerviks in the WUS (p value 0.000 < 0.05 then Ho denied). to

make the behavior is indeed needed a variety of factors as predisposing factors include

education, interest and motivation. It was concluded that educational factors, interest and

motivation being the dominant factor against the behavior of early detection of ca cerviks in

women of fertile age. It is recommended that place research improve outreach regarding early

detection of ca cerviks in the WUS

Keywords: Educational Factor, Interests And Motivation, Behavior Of Early Detection

Of Ca Cerviks

  INTRODUCTION

  4 April

  36

  11 November

  39

  12 December

  41 No. Bulan

  Early Detection Of Cervical Ca 2016 2017

  IVA Pap Smear

  IVA Pap Smear

  1 January 36 150

  2 February

  20

  36

  3 March

  37

  34

  34

  9 September

  12 December

  39

  11 November

  36

  10 October

  34

  31

  5 May

  8 August

  33

  7 July

  38

  6 June

  37

  10 October

  9 September

  CA cerviks is the most common cancer in women in the world. Ca cerviks deaths are projected to increase by almost 25% over the next 10 years. More than 270,000 women's deaths due to cervical cancer every year in the developing world than in manju (WHO, 2013). True to its name, Ca cerviks is a cancer that occurs in cervical uterus, an area on the female reproductive organs that constitute the entrance towards the uterus between the womb (uterus) and liang intercourse (vagina). The term "cancer" in itself already give the impression of scary. Therefore the expected incidence rate of this cancer can be pressed as low as possible (Anurogo, 2009).

Table 1.2 Scope examination of early detection of Ca cerviks in Lamongan

  cerviks

  Px Ca

  Early detection of Ca cerviks in the No. Month

Table 1.2 scope of Examination

  While Dipuskesmas kembangbahu IVA Test (Visual inspection Acetate) or a Pap Smear in the UPT Health Center kembangbahu area

  Source: Health Office Lamongan

  CA cerviks can be detected as early as possible with IVA test (Visual inspection Acetate) or Pap Smear. In Lamongan recorded data examination IVA or Pap Smear.

  1 January

  Source: outpatient Registers poli deposits. Lamongan: HOSPITALS Soegiri.

  Dr. Soegiri Lamongan

Table 1.1 Number Ca cerviks Events at the PROVINCIAL HOSPITAL

  In the PROVINCIAL HOSPITAL Dr. Soegiri Lamongan Year 2016 and 2017 years recorded the numbers of Genesis Ca cerviks in women.

  In Indonesia based on basic health Research data the year 2013 figures recorded the incident Ca cerviks on women as much as 522,354 sufferers (Trihono, 2013). In East Java, basic health Research data based on the year of 2013 recorded the numbers of Genesis Ca cerviks on women as much as 1.6/100% o (Trihono, 2013).

  In fact the incident number Ca cerviks is still very high. CA cerviks experienced more than 1.4 million women worldwide (Ferlay in Health RI, 2013). Each year more than 460,000 cases occurred and about 231,000 women died Ca cerviks (Parkin in Health RI, 2013).

  2016 2017

  36

  31

  5 May

  8 August

  33

  7 July

  38

  6 June

  37

  34

  40

  4 April

  37

  3 March

  23

  20

  2 February

  41 UPT Health Center kembangbahu area

  Source: outpatient Clinics Register Kembangbahu

  4 April - 108 - 105

  11 November - -

  10 October - -

  9 September - -

  8 August - -

  38

  7 July -

  6 June 1 -

  5 May 10 -

  3 March 2 - 3 -

  Results of research Eva Sulistiowati (2012) shows as much as 3.8% of women have already done tests IVA of 3,303 respondents in Central Bogor Bogor regency.

  2 February 7 - 3 -

  1 January 6 - 3 -

  IVA Pap Smear

  IVA Pap Smear

  No. Bulan Early Detection Of Cervical Ca 2016 2017

  Given the impact that such has occurred then that should be done in an effort to avoid the Ca cerviks. The first is if ever had sexual intercourse then had to do early detection of Ca cerviks with pap smear test regularly every two years until the age of 70 years. The second case was reported abnormal symptoms such as bleeding, especially after coitus (intercourse). The third thing is don't smoke (Riono, 2009). Other methods

  Risk factors for Ca cerviks among other things a woman never had sexual intercourse, women smoking, having a sexual partner, started sexual activity at a very young age (Riono, 2009). Risk factors that can increase the chances of cervical cancer include age the first time you have sex less than 20 years, has many partners, have experienced sexually transmitted infeski, mother or sister has cancer of the neck the uterus, the previous pap test results are normal and not smoking (Kemenkes, 2015). The research results of Sri Syatriani (2011) suggests cervical cancer risk factors can also be triggered by the use of low-quality dressing (OR = 2.320), the use of SOAP a pH > 4 (OR = 2.360), socio-economic status (OR = 4.087) and a couple of men who do not disirkumsisi (OR = 2.092). The impact occurred at an early stage is the incidence of vaginal discharge, foul-smelling pink or brownish, abnormal menstrual bleeding, and pain when sexual intercourse (Anurogo, 2009).

  The high incidence rate of Ca cerviks can be caused by various factors. The cause of this cancer is the Human papilloma virus (HPV), which is a type of virus that attacks humans (compass, 2008). According to the National Institute of Environmental Health Science at Research Triangle Park, North Carolina, the compound Bisphenol A that is a type of chemical substances to make hard plastic containers, such as jars of water and to coat cans of soup) can cause cancer cancer of the breast, ovaries, uterus, endometriosis, cancer and fertility problems. In pregnant women, this chemical can be forwarded to janinnya (Roman, 2013). CA cerviks occurs due to the growth of cells on an uncommon cerviks (abnormal). But before these cells into cancer cells, occur some of the changes experienced by the cells. The cell changes usually take up to years before the last cells turn into cancer cells.

  12 December - - besides pap smear is by Visual inspection with acetic acid. Current cervical cancer can also be prevented by administering the HPV vaccine. This step can provide protection against some types of HPV can cause genital warts and cerviks Ca (compass, 2008).

  The problem is that there are still many Women fertile Age does not implement early detection of Ca cerviks. Many of the factors that led to the lack of implementation of early detection. The study of an aspect of behaviour according to Green (Notoatmodjo, 2010) someone wants to do something such as early detection of ca cerviks will know if the purpose and merits. After know will determine attitudes i.e. agree or disagree with that program. After that also depends on perception, values, belief. So too will depend pemungkin factors such as the presence of affordable health facilities to implement early detection, presence of social support and so on. Maslow's motivation theory says people will be compelled do an act based on need, besides the desire or interest or motivation. A powerful motivation or impulse must be inculcated to sufferers through various approaches. The hope will be soon arose interest to implement early detection of Ca cerviks.

  Based on the above description of the researchers intend to do research with formulating in the title: "analysis of Educational Factors, interest and Motivation towards the behavior of early detection of Ca cerviks in women of fertile Age in the area of District Kembangbahu UPT Health Center Lamongan ".

  Research Objectives

  Knowing the influence factors of Education, interest and Motivation towards the behavior of early detection of ca cerviks in women of fertile Age in the area of public health UNIT Kembangbahu Lamongan year 2017

  

RESEARCH METHODS Table 4.2 the characteristics of the

  Analytic observational respondents Based On Education

  No. Education f %

  research design with cross sectional approach i.e. research conducted to

  1 SD

  69

  18.7

  determine the relationship between

  2 JUNIOR 111

  30.1

  variables according to the demand

  3 HIGH SCHOOL 143

  38.8

  without the intervention of

  4 PT

  46

  12.5

  researchers, which or the collection

  Total 369 100

  of data on each the subject of the study only observed once. Its Based on table 4.2 known HIGH population is the whole fertile age SCHOOL educated respondents i.e. women who are on the UPT Clinic half as much of the 143 respondents Kembangbahu Lamongan as much

  (38.8%) of a total of 369 9.479 married WUS. , the number of respondents. respondents as many as 369 respondents Teknikproportional

  Table

  4.3 Characteristics of cluster random sampling. Education respondents based on Occupations data collection, interests, motivation

  No. The work F % to use the questionnaire and conduct

  1 Farmer 293

  79.4 early detection of ca cerviks using

  2 Private

  62

  16.8 observations that are given on

  3 PNS

  14

  3.8 women of fertile age who are in the UPT Clinic Kembangbahu

  Total 369 100 Lamongan. then analyzed by

  Based on table 4.3 Note most Logistic Regression. respondents working as farmers i.e. as many as 293 respondents (79.4%)

  RESULTS of a total of 369 respondents.

  Characteristics Of Respondents Table

  4.1 Characteristics of Table

  4.4 Characteristics of respondents Based On Age respondents based on Gravida

  No. Status Of Gravida f %

  No. Age F %

  1 Primigravida 164

  44.4

  1 <20 years

  32

  8.7

  2 Multigravida 147

  39.8

  2 20-35 years 151

  40.9

  3 Grandemultigravida

  58

  15.7

  3 >35 years 186

  50.4 Total 369 100 Total 369 100

  Based on table 4.4 Note half the respondents including primigravida Based on table 4.1 is known to most

  IE as much as 164 respondents respondents aged 35 years > i.e. as (44.4%) of a total of 369 many as 186 respondents (50.4%) of respondents. a total of 369 respondents. Table

  4.5 Characteristics of respondents based on early detection of Ca Cerviks

  19

  women of fertile Age No. Interest f %

  Information f %

  1 Low

  79

  21.4

  2 Medium 127

  34.4

  3 High 163

  44.2 Total 369 100 Based on table 4.8 known to most respondents included have high interest to implement early detection of ca cerviks IE as much as 163 respondents (44.2%) of a total of 369 respondents.

  5.1 3 health workforce 348

  2 Electronic Media

  2. Interest in the early detection of Ca Cerviks

  0.5

  2

  1 Print Media

  No. Information Sources f %

  Respondents based on information sources early detection of Ca Cerviks

Table 4.6 the characteristics of

  Based on table 4.5 known throughout the respondents never get information about early detection of ca cerviks in women of fertile age i.e. as many as 369 respondents (100.0%) of a total of 369 respondents.

  2 Ever 369 100.0 Total 369 100

  0.0

  1 Never

Table 4.8 interest in early detection of Ca Cerviks in

94.3 Total 369 100

  33.3 Total 369 100 Based on table 4.7 are known to most respondents educational implementation of ca cerviks in women of fertile Age categories include less that is as many as 130 respondents (35.2%) of a total of 369 respondents.

  3. Motivation towards early detection of Ca Cerviks

  Based on table 4.9 is known to almost half of the respondents included have low motivation to implement early detection of ca cerviks IE as much as 149 respondents (40.4%) of a total of 369 respondents.

  3 High 113 30.6 Total 369 100

  2 Medium 107 29.0

  1 Low 149 40.4

  women of fertile Age No. Motivation f %

Table 4.9 Motivation towards early detection of Ca Cerviks in

  known to the rest of the respondents get information about early detection of ca cerviks in women of fertile age from health workers that is as much as 348 respondents (94.3%) of a total of 369 respondents.

  3 Good 123

  Special Data

  1. Education Ca Cerviks

Table 4.7 Education Ca Cerviks in women of fertile Age

  No. Education f %

  1 Less 130

  35.2

  31.4

  2 Enough 116

  4. Conduct early detection of Ca Table 4.12 Cross Tabulate education Cerviks with Papsmear with Education Table

  4.10 Conduct early Based on table 4.12 obtained the detection of Ca Cerviks with a most educated respondents with Papsmear on Fertile Age Women ELEMENTARY education including

  The Behavior Of

  categories less and high school with

  No. f % The Papsmear

  both categories namely each of as

  1 Don't do

  97

  26.3 many as 60 respondents (16.3%).

  2 Do 272

73.7 Total 369 100

  Cross-Tabulations table 4.13 job Based on table 4.10 known to with Education most respondents included

  Education Total

  implementing early detection of

  No. Job Less Enough Good

  ca cerviks with papsmear i.e. as

  F % F % f % f %

  many as 272 respondents

  1 Farmer 117 31.7 83 22.5 93 25.2 293 79.4

  (73.7%) of a total of 369 respondents.

  2 Private 12

  3.3

  25

  6.8

  25 6.8 62 16.8

  3 PNS

  1

  0.3

  8

  2.2

  5

  1.4

  14

  3.8 B.`Cross-Tabulations Between Total 130 35.2 116 31.4 123 33.3 369 100.0 Variables

  Based on table 4.13 obtained most of

  1. Cross-Tabulated Characteristic the respondents are farmers with less

Table 4.11 cross-Tabulate the age of

  IE categories include education as respondents with Educational much as 117 respondents (31.7%).

  Education Total Age No. Less Enough Good Table

  4.14 Cross Tabulations

  (Years)

  Gravida with Education

  F % f % f % f % Education Total 1 <20 th

  30

  8.1

  2

  0.5

  0.0

  32

  8.7 No. Gravida Less Enough Good F % F % f % f % 2 20-35 th 62 16.8 43 11.7 46 12.5 151 40.9

  1 Primi 56 15.2 51 13.8 57 15.4 164 44.4 3 >35 th 38 10.3 71 19.2 77 20.9 186 50.4

  2 Multi 64 17.3 45 12.2 38 10.3 147 39.8 Total 130 35.2 116 31.4 123 33.3 369 100.0

  3 Grande 10 2.7 20 5.4

  28

  7.6

  58

  15.7 Total 130 35.2 116 31.4 123 33.3 369 100.0

  Based on table 4.11 obtained most Based on table 4.14 obtained most of respondents aged 35 years with the respondents were multigravida educational > categories include both with less IE categories include

  IE as much as 77 respondents education as much as 64 respondents (20.9%). _{Edukasi No. Education Total} (17.3%). _{2 JUNIOR 1 SD HIGH 29 60 f % F % F % f %} Less Enough Good _{7.9 16.3 5 42 11.4 1.4 40 4 10.8 111 1.1 69 30.1 18.7 Total 130 4 PT}

  3 _{SCHOOL 6} ^{35 9.5} _{35.2 116 1.6} ⁴⁸ _{21 5.7} ^13.0 _{31.4 123 19} ⁶⁰ _{5.1 33.3 369 100.0} ^{16.3 143} ₄₆ ^38.8 _12.5

  Table

  Based on table 4.17 obtained most respondents aged 35 years > with an interest in the early detection of ca cerviks categories include high i.e. as many as 101 respondents (27.4%), 0

  No. Information Education Less Enough Good F % F % f %

  4.15 Cross Tabulate information with Education

1 Never

  0.0

  detection of Ca Cerviks

  0.5

  69

  18.7

  2 JUNIOR 15 4.1 33 8.9 63 17.1 111 30.1

  3 HIGH SCHOOL 20 5.4 55 14.9 68 18.4 143 38.8

  4 PT 1 0.3 15 4.1 30

  8.1

  46

  12.5 Total 79 21.4 127 34.4 163 44.2 290 100.0

  Based on table 4.18 most educated respondents obtained HIGH SCHOOL with an interest in the early detection of ca cerviks high categories include IE as much as 68 respondents (18.4%).

Table 4.19 Cross Tabulations of the work with an interest in the early

  No. Job Interest Total Less Enough Good f % f % f % f %

  1 SD 43 11.7 24 6.5

  1 Farmers 70 19.0 100 27.1 123 33.3 293 79.4

  2 Private 9

  2.4

  21

  5.7 32 8.7 62

  16.8

  3 PNS

  0.0

  6

  1.6 8 2.2 14

  3.8 Total 79 21.4 127 34.4 163 44.2 369 100.0

  Based on table 4.19 obtained most of the respondents are farmers with an interest in the early detection of ca cerviks high categories include IE as much as 123 respondents (33.3%).

  2

  Less Enough Good F % f % F % f %

  2 Ever 130 35.2 116 31.4 369 33.3 Total 130 35.2 116 31.4 369 33.3

  Based on table 4.16 obtained most respondents get information about early detection of ca cerviks of health workers with less education includes categories i.e. as many as 129 respondents (35%).

  Based on table 4.15 are obtained by most of the respondents are never get information about early detection of ca cerviks with less categories include education that is as many as 130 respondents (35.2%).

Table 4.16 cross-Tabulate with

  Educational information resources No.

  Reso- urces Education Total

  Less Enough Good f % f % f % f %

  1 Print 0 0.0

  2 0.5 0 0.0 2

  0.5

  2 Electronic 1 0.3

  12 3.3 6 1.6 19

  5.1

  3 Nakes 129 35.0 102 27.6 117 31.7 348 94.3 Total 130 35.2 116 31.4 123 33.3 369 100.0

  2. Cross-Tabulated the characteristics of Respondents with an interest in early detection

  Edu- cation Interest Total

Table 4.17 cross-Tabulate the age of

  Respondents with an interest in the early detection of Ca Cerviks in

  No.

  Age (Years) Interest Total

  Less Enough Good F % f % f % f % 1 <20 th 17 4.6 15

  4.1

  0.0

  32

  8.7 2 20-35 th 48 13.0 41 11.1 62 16.8 151 40.9 3 >35 th 14 3.8 71 19.2 101 27.4 186 50.4 Total 79 21.4 127 34.4 163 44.2 369 100.0

  0.0

  0.0

  detection of Ca Cerviks No.

Table 4.18 Cross Tabulations of education with an interest in the early Table

  4.20 Cross Tabulations Gravida with an interest in the early detection of Ca Cerviks

15.7 Total 79 21.4 127 34.4 163 44.2 369 100.0

  Infor- mation Interest Total

Table 4.23 cross-Tabulate the age of

  Respondents with motivation early detection of Ca Cerviks

  No.

  Age (Years) Motivation Total

  Low Medium High F % f % f % f % 1 <20 th 26 7.0 6 1.6 0.0 32 8.7 2 20-35 th 70 19.0 40 10.8 41 11.1 151 40.9 3 >35 th 53 14.4 61 16.5 72 19.5 186 50.4 Total 149 40.4 107 29.0 113 30.6 369 100.0

  Based on table 4.23 obtained most respondents aged 35 years > with motivation early detection including high category i.e. as many as 73 respondents (19.5%).

  Less Enough Good F % f % f % f %

  early detection of Ca Cerviks No.

  No. Gravida Interest Total Less Enough Good f % f % f % f %

Table 4.21 Cross Tabulations of information with an interest in the

  Based on table 4.20 obtained most of the respondents is primigravida with an interest in the early detection of ca cerviks categories include high i.e. as many as 73 respondents (19.8%).

  58

  8.1

  30

  6.0

  3 Grande 6 1.6 22

  2 Multi 47 12.7 40 10.8 60 16.3 147 39.8

  1 Primi 26 7.0 65 17.6 73 19.8 164 44.4

  3. Cross-Tabulated the characteristics of Respondents with motivation Detection

1 Never 0 0.0 0.0 0

  1

  4.22 Cross Tabulate information sources with an interest in the early detection of Ca Cerviks No.

  0.0

  Based on table 4.24 most educated respondents obtained HIGH SCHOOL with motivation early detection of ca cerviks categories include high i.e. as many as 58 respondents (15.7%).

  4 PT 8 2.2 22 6.0 16 4.3 46 12.5 Total 149 40.4 107 29.0 113 30.6 369 100.0

  3 HIGH SCHOOL 44 11.9 41 11.1 58 15.7 143 38.8

  2 JUNIOR 42 11.4 32 8.7 37 10.0 111 30.1

  1 SD 55 14.9 12 3.3 2 0.5 69 18.7

  F % f % f % f %

  No. Education Motivation Total Low Medium High

  Cerviks

Table 4.24 Cross Tabulate Education with motivation early detection of Ca

  0.0

  2 Ever 79 21.4 127 34.4 163 44.2 369 100.0 Total 79 21.4 127 34.4 163 44.2 369 100.0

  Based on table 4.21 obtained most of the respondents are never get information about early detection of ca cerviks with an interest in the early detection of ca cerviks high categories include IE as much as 163 respondents (44.2%) Table

  Information Sources Interest Total

  0.3

  Less Enough Good F % f % f % f %

  1 Print

  Based on table 4.22 obtained most respondents get information about early detection of ca cerviks of health workers with an interest in the early detection of ca cerviks categories include high i.e. as many as 150 respondents (40.7%).

  3 Nakes 78 21.1 120 32.5 150 40.7 348 94.3 Total 79 21.4 127 34.4 163 44.2 369 100.0

  5.1

  19

  0.3 6 1.6 12 3.3

  1

  2 Electronic

  0.5

  0.0

  0.3

  1

  2

Table 4.25 Cross Tabulate Work with motivation early detection of Ca

  Table

  Based on table 4.28 obtained most respondents get information about early detection of ca cerviks from health care personnel with motivation early detection of ca cerviks categories include low i.e. as many as 144 respondents (39%).

  3 Nakes 144 39.0 97 26.3 107 29.0 348 94.3 Total 149 40.4 107 29.0 113 30.6 369 100.0

  5.1

  19

  1.6

  6

  2.2

  Cerviks

  8

  4.28 Cross Tabulate information resources with motivation early detection of Ca Cerviks No.

  58

  Information Sources Motivation Total

3.8 Total 149 40.4 107 29.0 113 30.6 369 100.0

  Low Medium High f % f % f % F %

  1 Print

  0.0

  2

  0.5

  0.0

  2

  0.5

  2 Electronic

  4. Cross-Tabulated the characteristics of Respondents conduct early detection

  3 Grande 18 4.9 15 4.1 25 6.8

  1.4

  0.8

  No. Job Motivation Total Low Medium High f % f % f % f %

  1 Farmer 126 34.1 83 22.5 84 22.8 293 79.4

  2 Private 20 5.4 17

  4.6

  25

  6.8

  62

  16.8

  3 PNS

  3

  7

  2 Multi 69 18.7 46 12.5 32 8.7 147 39.8

  1.9

  4

  1.1

  14

  Based on table 4.25 obtained most of the respondents are farmers with motivation early detection of Ca Cerviks categories include low IE as much as 126 respondents (34.1%).

  Table

  4.26 Cross Tabulations Gravida with motivation early detection of Ca Cerviks

  No. Gravida Motivation Total Low Medium High

  F % f % f % f %

  1 Primi 62 16.8 46 12.5 56 15.2 164 44.4

  5

15.7 Total 149 40.4 107 29.0 113 30.6 369 100.0

  32

  8.7 2 20-35 th 53 14.4 98 26.6 151 40.9 3 >35 th 12 3.3 174 47.2 186 50.4 Total 97 26.3 272 73.7 369 100.0

  Based on table 4.29 obtained most respondents aged 35 years > conduct early detection categories include Yes (do) as much as 174 respondents (47.2%).

  0.0

  Low Medium High f % f % f % f %

  Infor- mation Motivation Total

  detection of Ca Cerviks No.

Table 4.27 cross-Tabulate information with Motivation early

  Based on table 4.26 obtained most of the respondents were multigravida with motivation early detection of Ca Cerviks categories include low IE as much as 69 respondents (18.7%).

Table 4.29 cross-Tabulate the age of

  Respondents conduct Papsmear

  No. Age (Years) Early detection Behavior Total

  No Yes f % f % F % 1 <20 th 32 8.7

1 Never

  Based on table 4.27 obtained most of the respondents are never get information about early detection of Ca Cerviks with motivation early detection of ca cerviks categories include low IE as much as 149 respondents (40.4%).

  0.0

  0.0

  0.0

  0.0

  2 Ever 149 40.4 107 29.0 113 30.6 369 100.0 Total 149 40.4 107 29.0 113 30.6 369 100.0

Table 4.30 Cross Tabulate education with early detection Behavior

  0.0

  Total No Yes F % f % F %

  Source Of Information Early detection Behavior

  4.34. Cross-Tabulate information sources with the behavior of early detection No.

  Table

  Based on table 4.33 obtained most of the respondents are never get information about early detection of ca cerviks with the behavior of early detection categories include Yes (do) i.e. as many as 272 respondents (73.7%).

  2 Ever 97 26.3 272 73.7 369 100.0 Total 97 26.3 272 73.7 369 100.0

  0.0

  0.0

  1 Never

  No Yes F % f % F %

  No. Information Early detection Behavior Total

  4.33 Cross Tabulate information with the behavior of early detection

  No. Education Early detection Behavior Total No No f % f % F %

3.8 Total 97 26.3 272 73.7 369 100.0

  1 Print

  0.0

  2

  0.5

  2

  0.5

  2 Electronic

  0.0

  19

  5.1

  19

  5.1

  3 Nakes 97 26.3 251 68.0 348 94.3 Total 97 26.3 272 73.7 369 100.0

  Based on table 4.34 obtained most respondents get information about early detection of ca cerviks from health workers conduct papsmear categories include Yes (do) as much as 251 respondents (68%).

  5. Cross Tabulate Variables Research

Table 4.35 Cross Tabulate Education with early detection Behavior

  No. Education Early detection Behavior Total

  58

  3 0.8 55 14.9

  3 Grande

  2 Private

  1 SD

  63

  17.1

  6 1.6 69 18.7

  2 JUNIOR

  15 4.1 96 26.0 111 30.1

  3 HIGH SCHOOL 18 4.9 125 33.9 143 38.8

  4 PT

  1 0.3 45 12.2 46 12.5 Total 97 26.3 272 73.7 369 100.0

  Based on table 4.30 most educated respondents obtained HIGH SCHOOL with early detection behaviour categories include Yes (do) that as many as 125 respondents (33.9%).

Table 4.31 Cross Tabulations of the work with the behavior of early

  detection

  No. Job Early detection Behavior Total No Yes f % f % F %

  1 Farner 92 24.9 201 54.5 293 79.4

  5 1.4 57 15.4

  39.8

  62

  16.8

  3 PNS

  0.0

  14

  3.8

  14

  Based on table 4.31 obtained most of the respondents is the farmer with the behavior of early detection categories include Yes (do) as much as 201 respondents (54.5%). Table

  4.32 Cross Tabulations Gravida with the early detection Behavior

  No. Gravida Early detection Behavior Total

  No Yes F % f % F %

  1 Primi 40 10.8 124 33.6 164

  44.4

  2 Multi 54 14.6 93 25.2 147

  No Yes f % f % F %

15.7 Total 97 26.3 272 73.7 369 100.0

  2 Enough 3 0.8 113 30.6 116 31.4

  3 Good 1 0.3 122 33.1 123 33.3 Total 97 26.3 272 73.7 369 100.0

  1 Less 93 25.2 37 10.0 130 35.2

  Based on table 4.32 obtained most of the respondents is primigravida with early detection behaviour categories include Yes (do) as much as 124 respondents (33.6%). Table

  Based on table 4.35 obtained most of respondents with educational category of early detection of ca cerviks with the behavior of early detection categories include Yes (do) as much as 122 respondents (33.1%).

  1 Less 78 21.1 71 19.2 149 40.4

  The results of this research are consistent with previous research by Sri Wahyuni (2011) stating that the most dominant factor influencing the behavior of the early detection of cervical cancer is educational intervention methods wish and drive with a value of p = 0,010 and OR 3.050. This is due to the method of education wish and drive became the

  Based on table 4.7 known to almost half of the respondents cerviks ca education implementation in women of fertile Age categories include less that is as many as 130 respondents (35.2%) of a total of 369 respondents.

  DISCUSSION Implementation Of Education Ca Cerviks

  1 .000 6.532 3.363 12.687 Motivation -1.225 .595 4.231 1 .040 .294 .091 .944 Constant -7.268 .906 64.343 1 .000 .001 a. Variable (s) entered on step 1: Education, interests, motivation.

  B S.E. Wald df Sig. Exp(B) 95% C.I.for EXP(B) Lower Upper Step 1 ^a Edukation 4.430 .702 39.833 1 .000 83.940 21.207 332.234 Interes 1.877 .339 30.702

  The results of the logistic regression test Education Factor Influences, interests and motivation towards the behavior of early detection of Ca Cerviks in women of fertile Age in the health Kembangbahu Lamongan April 12 until May 12, 2017

  C. the results of statistical tests

  Based on table 4.37 obtained most of the respondents with high motivation category about early detection of ca cerviks with behavior papsmear categories include Yes (do) as much as 113 respondents (30.6%).

  3 Good 0.0 113 30.6 113 30.6 Total 97 26.3 272 73.7 369 100.0

  5.1 88 23.8 107 29.0

  19

  2 Enough

  F % f % F %

Table 4.36 Cross Tabulations of interest with Behaviors early

  No. Motivation Early detection Behavior Total No Yes

  Table Cross-Tabulations of motivation with 4.37 behavior of early detection

  Based on table 4.36 obtained most of the respondents with high category of interest in the early detection of ca cerviks with behavior papsmear categories include Yes (do) as much as 159 respondents (43.1%).

  3 Good 4 1.1 159 43.1 163

  34.4

  2 Enough 32 8.7 95 25.7 127

  21.4

  79

  1 Less 61 16.5 18 4.9

  No Yes F % f % F %

  No. Interest Early detection Behavior Total

  detection

44.2 Total 97 26.3 272 73.7 369 100.0

  deciding factor because it is a health education given to the respondents to pay attention to the background of the client and his needs, education is providing a form of learning with a variety of lectures covering the stimulas using LCD, CD playback, sharing, peer discussion booklets, demonstration examination papsmear and counseling involving the family as supporters. Education wish and the drive to streamline internal and external factors that are owned by the respondent because of those factors that can get the behavior of early detection of cervical cancer. As research conducted by Ackerson of the year 2007 in the USA, in his research that aims to find out the factors that affect women in performing early detection of cancer, found that the behavior of early detection of cancer intrinsic factor is affected by cervical and ekstrisik factors which include age, economic status, education and knowledge.

  According to Notoatmodjo (2010) says Education is the learning process of did not know about the value of health be know and from unable to cope with his own health became independent. In this case the primary role of education is to increase knowledge. The knowledge required in order to change the behavior as described in the concept of K-A-P (knowledge-attitude-practice), that the knowledge underlying attitudes and attitudes underlying the formation of behavior.

  Almost half of the respondents cerviks ca education implementation in women of fertile Age categories include less. This is due to the implementation of this required cerviks ca educational facilities and infrastructure including the existence of a zpogram for this activity. Facilities and infrastructure in question is of the required learning media such as books, magazines, newspapers or even internet public awareness by health workers. This means it is not necessarily for everyone have it. This includes the already popular is the internet, not all people use the handpone android that can be used to access the internet to read ca cerviks are common among women of fertile Age.

  In addition to the above conditions the implementation of education ca cerviks in women of fertile Age are included in the category of still less can also be caused by other factors related to the characteristics of the respondents as a factor of age, educational background, employment, status of gravida, information as well as information sources. Judging from the age factor, based on the results of the analysis of the obtained most respondents aged 35 years with educational > categories include both. This is caused by the older person's age, then the accumulation of more and more certainly than the education of their young age. This possibility could occur because eduaksi can come from a variety of sources, whether from books, magazines, newspapers, internet, health workers, friends or others.

  Other factors as the cause of the lack of education regarding ca cerviks is associated with the educational background of the respondents. Based on the results of the analysis are known to most educated respondents with elementary education ca cerviks categories include less and high school with a good category. This is due to the generally low education people reluctant to learn something including reluctant to read as a source of education. Otherwise the higher the level of education, a desire to learn and learning in General is also higher. Therefore, with high school education then besides includes most high than ELEMENTARY education group.

  Another factor that also affects the lack of implementation of cervical cancer is educational background jobs respondents. Based on the results obtained by analysis of most respondents is a farmer with cervical cancer education categories include less. This is caused by his profession as a farmer, then rarely need education regarding ca cerviks. People with this profession generally more focus to the issue of agriculture. Information outside of the agricultural issues in general are also less attracted his attention. So in the end this most farmers groups rarely get eduaksi tentangh ca cerviks.

  In addition to the above factors is also related to the status of gravida from respondents. Based on the results of the analysis of the obtained most of the respondents were multigravida with educational categories include less. This is because in general people were less concerned with preventive action regarding the disease. Including less care about the troubles of ca cerviks. Therefore despite already belongs to multigravida, besides being still about ca cerviks is still lacking.

  The last factor that influence is information. Based on the results obtained by analysis of most respondents is never get information about early detection of ca cerviks with educational categories include less. This is because despite the categories never get information about early detection of ca cerviks although only one time also keep votes ever. Therefore despite already included never get information about early detection of ca cerviks then still education regarding cerviks ca judged still less. The cause is the respondent looks reluctant to seek information on their own and passive or rely solely on information from health workers.

  Based on the results of the analysis of the obtained most respondents get information about early detection of ca cerviks of health workers with less education includes categories.

  Interest in the early detection of Ca Cerviks

  Based on table 4.8 known to almost half of the respondents including the high interest has to implement early detection of ca cerviks

  IE as much as 163 respondents (44.2%) of a total of 369 respondents.

  The results of the research supported by the existence of a previous research results conducted Fatharani Sepa (2015) claims based on a test of paired t test is known to result in the amount of 0.005 0.000 significantly and this means there are influences counseling about cancer of the cervix against interest do the pap smear. Changes between the pre test post test with IE the number of 29 respondents. Experience increased interest in better, thus it can be concluded that the granting of extension of cervical cancer by the method of buzz group have the influence of maternal interest significantly to yg to do pap smears. With the extension of the mother's interest in doing a pap smear examination be increased, because at the time the extension this is going on the transfer of knowledge and insight about cervical cancer so that increases interest in the early detection of ca by cervik Pap smear or IVA

  According to the full moon in the Mathedu (2009) outlines the characteristics of individuals who have a high interest towards something that is the existence of a large concern, have high expectations, success- oriented, have the pride, the willingness of trying and have a positive consideration