Published on December 9, 2017
slide 1: International Journal of Engineering Research Science IJOER ISSN: 2395-6992 Vol-3 Issue-11 November- 2017 Page | 94 Enlargement of Amanatun South Central Timor Regency Jarot Soleman Ndaong 1 Surjono 2 I Nyoman Suluh Wijaya 3 1 Magister Program of Regional and City Planning Department Engineering Faculty Brawijaya University 23 Regional and City Planning Department Engineering Faculty Brawijaya University Abstract — South Central Timor Regency is one of the Regency within the Province of East Nusa Tenggara. It lies on 395536 km2 with 32 Sub-Districts and population of 459.310 people which made it as Regency with most Kecamatan Sub- District and most populated area in Province of East Nusa Tenggara. Thus due it its large size less optimum service of regional government regarding might occur. One solution offered for this issue was regional enlargement which become the proposed enlargement of Amanatun. Amanatun was taken from the name of a kingdom during West Indies governance which was includes in Afdeeling Regency South Central Timor. This proposition of Amanatun enlargement was having its own background that became the trigger and objectives of the people who desire this enlargement. Objectives of this study was to discover the triggers and objectives expected from Amanatun enlargement and whether there was relationship between the trigger and objectives of Amanatun enlargement also what is the form of this enlargement according to the prevails laws and regulations. Analysis process was using Partial Least Square PLS and appropriateness level for enlargement was based on government regulation guidelines. Keywords — regional enlargement trigger objectives relationship between effect of trigger toward objectives of enlargement PLS appropriateness level of enlargement based on laws and regulations. I. INTRODUCTION Regional development in Indonesia particularly regional enlargement started to flourish after 1998. Since there was the change from centralized to decentralization autonomy a region could be developed and become independent. This was supported by policy regulating about regional government such as UU 22 of 1999 with PP 129 of 2000 replaced with UU 32 of 2004 with PP 78 of 2007 and UU 23 of 2014. There were various aspect which affect regional enlargement in Indonesia such as religious differences ethnic/cultural differences development imbalances vastness of regional area political factor either regarding power or political representation within regional government also the existence of regional fiscal fund. Regional enlargement was aimed to improve community’s welfare such as giving optimum service for citizen development of local potential so that it would increase economic growth opened more employment sector lessened disparity between central and regional regional potential can be managed in good and faster manner improved safety and order also better relationship between central and regional government. Regarding issue and plans concerning regional enlargement developed in TTS Regency since 2013 until date author would like to conduct review about the proposed enlargement started with answering questions such as what triggers this enlargement and what are the objectives to achieved also what is the form of enlargement based on the prevails laws and regulations. Study site was located in South Central Timor Regency. Its population in 2016 was 443.111 people and by far is the most populated area compared to other Regency in the Province of NTT. From number of Sub-Districts TTS Regency has 32 sub- districts and thus known as Regency with the most sub-districts in the Province of NTT. This might the reason behind less optimum service for its citizen. Enlargement plan of Amanatun consist of 8 sub-districts Amanatun Utara Amanatun Selatan Boking Toianas Nunkolo Kokbaun Santian and Noebana. slide 2: International Journal of Engineering Research Science IJOER ISSN: 2395-6992 Vol-3 Issue-11 November- 2017 Page | 95 FIGURE 1. SOUTH CENTRAL TIMOR REGENCY AFTER AMANATUN ENLARGEMENT II. MATERIALS AND METHODS This study is a quantitative descriptive study with Partial Least Square PLS approach with purposive sampling and Likert scale as its sample collection technique. Gravimetric and quota method in calculating the appropriateness of Amanatun enlargement was based on Government Regulation Peraturan Pemerintah No 78 of 2007. Formulation of study variables was used as the main reference to answer problematic questions and act as basic reference for analysis processing. TABLE 1 STUDY VARIABLES No Objectives Variables Sub Variables 1. Discover the trigger of Amanatun enlargement Trigger of enlargement Religious differences Ethnic/cultural differences Economic imbalances Vastness of regional area Political reason Fiscal fund allocation 2. Discover the objectives of Amanatun enlargement Objectives of enlargement Improved service for citizen Faster growth in democratic life Faster regional development Labor absorption Faster regional potential management Improved safety and order Improved harmony relationship between central and regional 3. Discover the effect of the trigger toward the objectives of enlargement Trigger and Objectives Hypothetical test 4. Discover the appropriateness of Amanatun enlargement based on the existed UUs and PPs. PP 78 of 2007 Appropriateness Level of Amanatun Enlargement Source: Referential Compilation slide 3: International Journal of Engineering Research Science IJOER ISSN: 2395-6992 Vol-3 Issue-11 November- 2017 Page | 96 2.1 Data Collection Method Data collection method used in this study was through primary and secondary survey. Primary survey was done through observation interview and questionnaire dispersion. Number of respondent in this study were 40 respondents with purposive sampling approach in which respondent was selected under consideration that he or she was informed and involved in the process of Amanatun enlargement. Secondary survey was done by collecting data related with Amanatun enlargement. 2.2 Data Analysis Technique In analyzing the trigger of enlargement objectives of enlargement and relationship/effect of the trigger toward the objectives of Amanatun enlargement we use Partial Least Square PLS analysis with sample collection technique using purposive sampling under the consideration that sample determination was taken from: Unknown population Not all people involved in Amanatun enlargement Minimum samples in PLS is 30-100 Number of respondents in this study was 40 respondents in which they were asked to answer the questions by using Likert scale. Likert scale was used to find social symptom and event occurs among people by measuring perception attitude and opinion of individuals within community whereas variables would be made into sub-variables and then used as measurable indicators Sugiyono 2012. PLS analysis is part of Structural Equation Modelling Ghozali 2014. Several benefits of PLS are: Distribution free approach PLS objective is to predict or to developed a theory Small sample 30-100 samples Indicator was reflective and formative It can be used as an alternative for structure equation modelling which has weak theory PLS can be used for theoretical testing and also can be used for exploratory or to test relationship which has no theory of it. PLS is using SmartPLS and VisualPLS softwares. Steps in PLS consist of: Step 1: Creating a path diagram FIGURE 2: PATH DIAGRAM MODEL OF PLS WITH SMARTPLS 3.0 SOFTWARE Step 2: Conversion of path diagram into structural model a. Struktural model inner model b. Measurement model outer model Step 3: Conduct Godness of Fit evaluation c. Evaluation of measurement model slide 4: International Journal of Engineering Research Science IJOER ISSN: 2395-6992 Vol-3 Issue-11 November- 2017 Page | 97 d. Evaluation of structural model Step 4: Hypothetical testing Interpretation Hypothetical testing in PLS was using T-test or t-statistic and p-values. TABLE 2 VARIABLES IN PLS MODEL No Latent Variables Manifested Variables Indicator 1. Objective of Enlargement Y Y1 Improved service for citizen Y2 Faster democratic growth for citizen Y3 Faster regional economic development Y4 Labor absorption Y5 Faster management concerning regional’s potential Y6 Improved safety and order in regional area Y6 Faster management concerning regional’s potential Y6 Improved safety and order in regional area Y7 Improved relationship between central and regional government and vice versa 2. Trigger of Enlargement X X1 Religious differences X2 Ethnic/cultural differences X3 Economic imbalances X4 Vastness area of regional X5 Political reason X6 Fiscal fund allocation Source : Analysis result For enlargement analysis based on PP 78 of 2007 quota and gravimetric analysis was used to determine the appropriateness of regional enlargement. III. RESULT AND DISCUSSION 3.1 Partial Least Square PLS Analysis PLS analysis was using SmartPLS 3.0 software. Steps in this PLS analysis were: 3.1.1 Constructing path diagram FIGURE 3. PATH DIAGRAM OF PLS 3.1.2 Conversion of path diagram into equation system a. Structural model inner model Y γX + ς b. Measurement model outer model i. Variabel X reflektive slide 5: International Journal of Engineering Research Science IJOER ISSN: 2395-6992 Vol-3 Issue-11 November- 2017 Page | 98 X1 λy X + ξ1 X2 λy X + ξ2 X3 λy X + ξ3 X4 λy X + ξ4 X5 λy X + ξ5 X6 λy X + ξ6 ii. Variabel Y reflektive Y1 λy Y + ξ1 Y2 λy Y + ξ2 Y3 λy Y + ξ3 Y4 λy Y + ξ4 Y5 λy Y + ξ5 Y6 λy Y + ξ6 Y7 λy Y + ξ7 3.1.3 Conduct Goodness of Fit evaluation Goodness of Fit evaluation was done to find out model’s appropriateness either for measurement model outer model and structural model inner model. a. Evaluation of measurement model outer model For evaluation of measurement model outer model we used PLS with validity and reliability test validity test were convergent validity and discriminant validity. Convergent validity was determined by outer loadings value 05 FIGURE 4. CALCULATION RESULT FOR PLS ALGORITHM TABLE 3 LOADINGS VALUE BETWEEN INDICATORS Variables Nilai Loading Keterangan X Trigger of Enlargement X1 -0.450 Insignificant X2 -0.403 Insignificant X3 0.764 Valid and significant X4 0.575 Valid and significant X5 0.353 Insignificant X6 0.213 Insignificant Y Objective of Enlargement Y1 0.881 Valid and significant Y2 0.237 Insignificant Y3 0.882 Valid and significant Y4 0.053 Insignificant Y5 0.314 Insignificant Y6 0.633 Valid and significant Y7 0.345 Insignificant Source : SmartPLS processing results From PLS Algorithm results indicators X1 X2 X4 X5 X6 Y2 Y4 Y5 Y6 and Y7 were omitted because it has loading value less than 0.5 and insignificant. After omission completed it was recalculated. slide 6: International Journal of Engineering Research Science IJOER ISSN: 2395-6992 Vol-3 Issue-11 November- 2017 Page | 99 FIGURE 5. RECALCULATION RESULT FOR PLS ALGORITHM TABLE 4 LOADING VALUES AND VARIANCE INFLATION FACTOR VIF BETWEEN INDICATORS Variables loadingValue VIF Value Information X Trigger of Enlargemen X3 0.897 1.145 Valid and significant X4 0.732 1.145 Valid and significant Y Tujuan Pemekaran Y1 0.920 2.034 Valid and significant Y3 0.890 1.995 Valid and significant Y6 0.652 1.358 Valid and significant Source : SmartPLS processed results From the table above it can be seen that loading value of each indicator was above 0.5 and its variance inflation factor VIF value was 0.1 and 10. For discriminant validity it can be seen by looking at cross loading correlation value of indicator with its construct and its average variance extracted AVE of each construct whereas good model would have AVE value of its construct 0.50. Cross loading value in this model can be seen from table below. TABLE 5 CROSS LOADING VALUES X trigger Y objective X3 0.897 0.359 X4 0.732 0.233 Y1 0.386 0.920 Y3 0.323 0.890 Y6 0.146 0.652 Source: SmartPLS processing result From the table above it can be seen that cross loading value of trigger variables with its indicators X3 X4 was higher than objective variables. The opposite also occur in which cross loading value of objective variables with its indicators Y1 Y3 and Y6 was higher than trigger variables. This indicated that manifested variables value of its latent variables has better prediction. AVE values for each variable can be viewed in the table below. TABLE 6 AVERAGE VARIANCE EXTRACTED AVE VALUES Variables Average variance extracted AVE Trigger of Enlargement 0.670 Objective of Enlargement 0.688 Source : SmartPLS processing result From the table above it can be seen that AVE value for each construct was above 0.5 it means that the construct is valid. Reliability test was using composite reliability value pc 0.7. TABLE 7 COMPOSITE RELIABILITY VALUES Variables Composite reliability Information Trigger of Enlargement 0.801 Reliable Objective of Enlargement 0.866 Reliable Source : SmartPLS processing result slide 7: International Journal of Engineering Research Science IJOER ISSN: 2395-6992 Vol-3 Issue-11 November- 2017 Page | 100 From the table above it can be concluded that for both trigger of enlargement and objective of enlargement variables it has composite reliability value 0.7 thus indicators used in these variables X3 X4 Y1 Y3 and Y6 has good reliability or able to measure its construct. Therefore measurement model outer model can be written as follows: X3 0.897 Trigger + 1.145 X4 0.732 Trigger + 1.145 Y1 0.920 Objective + 2.034 Y3 0.890 Objective + 1.995 Y6 0.652 Objective + 1.358 b. Evaluation of structural model inner model Testing toward structural model was done by looking at its R-sqaure and Q-square value with range 0Q 2 1 whereas closer to 1 means better model. For R-square and Q-square values it was shown in Table 8. TABLE 8 R-SQUARE AND Q-SQUARE VALUES R Square Q Square Objective of Enlargement 0.139 0.139 Source : SmartPLS processing result From the table above it can be seen that R-square and Q-square values were 0 which means that model was also fit with the data or able to convey the phenomenon on the field. Structural model inner model can be written: Y γX + ς Objective of Enlargement Y1Y3Y6 0.372 Trigger of Enlargement X3X4 + 1 3.1.4 Hypothesis Testing Hypothesis testing in PLS was done by resampling bootstrapping method using T-statistic. The hypothesis was “there is triggering effect of enlargement toward objective of enlargement in Amanatun”. H0 : 0 there is no relationship/effect Ha : ≠ 0 there is relationship/effect Result of T-test in PLS can be seen from table below: TABLE 9 MEAN STDEV T-VALUES P-VALUES Original Sample O Sample mean M Standard Deviation stdev T Statistics O/STDEV P Value Pemicutujuan 0372 0396 0184 2027 0043 Source : SmartPLS processing result From the table above it can be seen that T-statistic for trigger objective of enlargement is 2027. A hypothesis was said to have significant effect/relationship x toward y if T-statistic ≥ 196 while P value is 0043 which means lower than alpha 005 and thus null hypothesis was rejected Ha:≠0. Thus conclusion of this hypothesis testing is there was effect/relationship between trigger of enlargement and objective of enlargement for Amanatun region. 3.2 Analysis of Appropriateness Level based on PP of 2007 In analyzing appropriateness level for Amanatun enlargement using PP 78 of 2007 comparison was conducted between enlargements analyses of Amanatun with other Regency existed in the Province of East Nusa Tenggara. Based on the appendix of Government Regulation PP No 78 of 2007 there were 11 factors and indicators with score range from 1-5 Score 5 was in a category of very capable with indicators value requirement ≥ 80 of average value. Score 4 was in category of capable with indicators value requirement ≥ 60 of average value. Score 3 was in category of less capable with indicators value requirement ≥ 40 of average value. slide 8: International Journal of Engineering Research Science IJOER ISSN: 2395-6992 Vol-3 Issue-11 November- 2017 Page | 101 Score 2 was in category of incapable with indicators value requirement ≥ 20 of average value. Score 1 was in category very incapable with indicators value requirement 20 of average value. TABLE 10 ANALYSIS AND SCORING OF INDICATORS FOR AMANATUN ENLARGEMENT BASED ON PP 78 OF 2007 N o Factors and Indikators Score Bob ot Number Kab.Induk TTS Amanatun Enlargement Kab.Induk TTS Amanatun Enlargement 1. Demography 1. Number of people 5 5 15 75 75 2. Population density 5 5 5 25 25 Total Demography score 100 100 2. Economy Capability 1. Domestic product input for regional gross non oil and gas per capita 5 4 5 25 20 2. Economy growth 5 5 5 25 25 3. domestic product input for regional gross non oil and gas 5 3 5 25 15 Total economy capability score 75 60 3. Regional Potential 1. Bank ratio 5 2 2 10 4 2. shopping group ratio / 10.000 citizen 5 5 1 5 5 3. Market ratio / 10.000 citizen 5 4 1 5 4 4. Elementary school ratio / citizen eligible for primary school 5 5 1 5 5 5. Middle school ratio / citizen eligible for secondary school 5 5 1 5 5 6. High school ratio / citizen eligible for tertiary school 5 5 1 5 5 7. Rasio Fas.Kesehatan per 10.000 citizen 5 5 1 5 5 8. Medical personnel ratio 5 4 1 5 4 9. Motor vehicles 5 4 1 5 4 10. Electricity subscribers 5 4 1 5 4 11. Road length / number of vehicles 5 5 1 5 5 12. High school diploma worker 5 4 1 5 4 13. Bachelor degree worker 5 3 1 5 3 14. Civil servant ratio 5 5 1 5 5 Total Regional Potential Score 75 62 4. Financial Capability 1. Local income own 5 2 5 25 10 2. Own revenue to number of citizen ratio 5 5 5 25 25 3. Own revenue ratio compare to gross regional domestic product 5 5 5 25 25 Total Financial Capability Score 75 60 5. Social Cultural 1. Praying facility ratio 5 5 2 10 10 2. Sport square facility ratio 4 4 2 8 8 3. Number of city hall 3 2 1 3 2 Total Social Cultural Score 21 20 6. Social Political 1. Election percentage 5 5 3 15 15 2. Number of mass organization 3 2 2 6 4 Total Social Political Score 21 19 7. Vastness of region 1. Overall teritorial area 5 1 2 10 2 2. Effective teritorial area 5 2 3 15 6 Total Regional Vastness Score 25 8 8. Defence 1. Defence personnel ratio 5 2 3 15 6 2. Teritorial characteristic 1 4 2 2 8 slide 9: International Journal of Engineering Research Science IJOER ISSN: 2395-6992 Vol-3 Issue-11 November- 2017 Page | 102 N o Factors and Indikators Score Bob ot Number Kab.Induk TTS Amanatun Enlargement Kab.Induk TTS Amanatun Enlargement Total Defence Score 17 14 9. Security 1. Security personnel ratio 5 2 5 25 10 Total Security Score 25 10 1 0. People welfare level 1. Human development index 5 5 5 25 25 Total Welfare Score 25 25 1 1. Control Range 1. Average distance 5 5 2 10 10 2. Average time 5 5 3 15 15 Total Control Range Score 25 25 Total Overall Score 484 403 Source : Analysis result Score for Amanatun enlargement regarding population factor was 100 score for economic capability factor was 60 score for regional potential factor was 62 and score for financial capability factor was 60. It means that it was eligible to conduct regional autonomy. Furthermore total score for Main area in South Central Timor Regency is 484 and total score for Amanatun enlargement is 403 it means that appropriateness category for this enlargement is capable and recommended to be pursued. IV. CONCLUSION From the analysis result conclusion can be made: 1. Trigger of Amanatun enlargement is economic imbalances and vastness of regional area. 2. Objective of Amanatun enlargement is to improve service for citizen accelerating regional economy development and to improve safety and order. 3. Hypothesis testing result indicate that there is 372 relation between trigger of enlargement toward objective of enlargement in Amanatun. 4. Based on PP 78 of 2007 enlargement of Amanatun was capable and recommended to be pursued. V. SUGGESTIONS 1. For central government there was no complementary regulation for UU 23 of 2014 particularly regarding regional enlargement and thus implementation for Amanatun enlargement was still unclear. 2. For regional government review regarding Amanatun enlargement as capital candidate was not yet geographically reviewed particularly for disaster prone areas and one based on hydrography. 3. For subsequent study this study has give considerable input for Amanatun enlargement plan and also various aspects regarding not yet reviewed UU 23 of 2014. REFERENCES 1 AdisasmitaRahadjo. 2012. Analisis Tata Ruang Pembangunan. Yogyakarta : Graha Ilmu 2 AlfirdausK BayoL. 2007. 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