Kriteria penetapan nilai kinerja si

Kriteria penetapan nilai kinerja sistem irirgasi berdasarkan Permen PU No. 32/PRT/M/2007 dijelaskan sebagai berikut.
1. Nilai bobot antar 80 – 100 kinerja sangat baik
2. Nilai bobot antara 70 – 79 kinerja baik
3. Nilai bobot antara 55 – 69 kinerja kurang dan perlu perhatian
4. Nilai bobot antara < 54 kinerja jelek dan perlu perhatian
Perhitungan penilaian kinerja sistem Irigasi Sub DI Maneunteung Barat mempunyai nilai 86,49%. Sedangkan perhitungan penilaian kinerja sistem Irigasi Sub DI Maneunteung Timur mempunyai nilai 88,63%. Berdasarkan nilai tersebut apabila dilihat kriteria maka Jaringan Irigasi Maneunteung Barat dan Jaringan Irigasi Maneunteung Timur memiliki kinerja yang sangat baik.

Analisa dan Uji Data Responden Berdasarkan Structural Equation Modeling (SEM)
Dalam analisa dan uji data responden akan dijelaskan tentang langkah-langkah yang dilakukan dalam analisis dan uji data responden dengan menggunakan model Structural Equation Modelling (SEM) serta software Statistical Product and Service Solution (SPSS) AMOS (Analisis of Moment Structures). Dari tinjauan pustaka dan kerangka pemikiran yang telah dijelaskan pada sub bab sebelumnya, secara umum model SEM berkenaan dengan penilitian ini mempunyai 6 variabel independen (Eksogen) dan 1 variabel dependen (Endogen) dan 3 variabel hasil (Depend).
Enam variabel independen yang dimaksud adalah Prasarana Fisik (X1 atau ξ1), Produktifitas tanaman (X2 atau ξ2), Sarana Penunjang OP (X3 atau ξ3), Organisasi Personalia Pelaksana OP (X4 atau ξ4), Dokumentasi (X5 atau ξ5), Dokumentasi (X6 atau ξ6) sedangkan variabel dependen adalah kinerja sistem irigasi (η) dan variabel hasil (depend) adalah Qmax/Qmin indeks pertanaman bertambah (Y1), bertambahnya hasil panen (Y2), luas terlayani air meningkat (Y3). Dari variabel-variabel tersebut disusun dalam bentuk diagram alur.
Dari diagram alur tersebut selanjutnya disusun persamaan struktural, dan dilanjutkan dengan penentuan teknik estimasi. Teknik ini dilakukan secara bertahap melalui estimasi measurment model dengan cara teknik confirmatory factor analysis dan dilanjutkan dengan structural equation model. Hal ini dimaksudkan untuk melihat kesesuaian model dan hubungan kausalitas yang dibangun.
Sebelum dilakukan teknik estimasi, dilakukan uji data apakah mengikuti distribusi normal atau tidak dengan menggunakan program SPSS ver.22. Apabila terdapat data responden yang tidak mengikuti distribusi normal akan dilakukan transformasi data supaya memenuhi asumsi distribusi normal.

Uji Data dengan Analisa Konfirmatori
Pada tahap ini akan dilakukan analisa konfirmatori untuk menguji multidimensi dari suatu konstruk dengan variabel laten yang dimiliki. Masing-masing Analisis ini juga menguji validitas suatu konstruk teoritis. Masing-masing variabel laten yang digunakan dalam penelitian dibentuk berdasarkan konsep teoritis dengan beberapa indikator atau manifest. Analisis konfirmatori selanjutnya menguji apakah indikator-indikator tersebut merupakan indikator yang valid sebagai pengukur konstruk laten. Dengan kata lain, apakah indikator-indikator tersebut adalah mutidimensi dari suatu konstruk laten, atau bukan mutidimensi.
Langkah berikutnya adalah pengujian atau analisis terhadap model SEM secara penuh. Pengujian model terhadap Structural Equation Model (SEM) dilakukan dengan dua pengujian, yaitu uji kesesuaian model dan uji signifikansi kausalitas melalui uji koefisien regresi. Model yang digunakan untuk analisis merupakan model recursive model dimana semua anak panah mempunyai satu arah tanpa putaran umpan balik, sehingga tidak dikorelasikan dengan variabel lainnya. Perhitungan analisis konfirmatori dilakukan dengan menggunakan software SPSS AMOSTM versi 22 seperti ditunjukkan pada gambar 3.

Hasil (Inggris) 1:

Criteria for the determination of the value of the irirgasi system performance based on Candy PU No. 32/PRT/M/2007 are described as follows.1. The value weights between 80 – 100 excellent performance2. The value of weight between 70 – 79 good performance3. The value weights between 55 – 69 performance less and need attention4. The value weights between 54 and ugly performance < need attentionCalculation of Irrigation system performance assessment Sub in the West has a value of Maneunteung 86,49%. Whereas the calculation of the performance assessment system of Irrigation in Eastern Maneunteung have Sub value 88,63%. Based on the value in the network then the criteria seen Irrigation Maneunteung Irrigation Network of Western and Eastern Maneunteung has excellent performance. The analysis and Test Data the respondents based on Structural Equation Modeling (SEM)In analysis and test data on respondents will be explained about the steps undertaken in the analysis and test data with respondents using model Structural Equation Modelling (SEM) as well as software Statistical Product and Service Solution (SPSS) AMOS (analysis of Moment Structures). Of the review of the literature and a framework of thought that has been described in the previous chapter, subtitles in general models of SEM regarding penilitian has 6 independent variables (Exogenous) and 1 dependent variable (Endogenous) and 3 variable results (Depend).Six independent variables in question is the physical Infrastructure (X 1 or ξ1), crop Productivity (X 2 or ξ2), means of Supporting OP (X 3 or ξ3), the Organization Implementing the human resources OP (X 4 or ξ4), documentation (X 5 or ξ5), documentation (X 6 or ξ6), while the dependent variable is the performance of irrigation systems (η) and variable results (depend) Qmax/Qmin is the index increased pertanaman (Y1), increasing crop yields (Y2), vast underserved water increases (Y3). Of the variables are arranged in the form of flowcharts. The flowchart of the next structural equations are compiled, and continued with determination technique of estimation. This technique is done gradually through the estimation model by means of the technique of measurment confirmatory factor analysis and structural equation models continued with. It is intended to look at the suitability of the model and the relationship of causality to be built.Before performed technique of estimation, conducted test data do follow a normal distribution or not by using program SPSS ver 22. If there is data on the respondents who do not follow a normal distribution of data transformation to be performed so that meet the assumption of a normal distribution.Test Data Analysis with KonfirmatoriAt this stage of the analysis will be performed to test for multidimensional konfirmatori of an invalid constructs with latent variables. Each Analysis is also testing the validity of a theoretical invalid constructs. Each latent variable used in the study was formed based on the theoretical concepts with several indicators or manifest. Analysis of konfirmatori further test whether such indicators is a valid indicator of measuring latent as invalid constructs. In other words, whether the indicators are the mutidimensi of a latent, or invalid constructs instead of mutidimensi.The next step is testing or analysis of the model of SEM in full. Testing the model against the Structural Equation Models (SEM) performed with two testing, i.e. testing the suitability of the model and test of significance test of regression coefficient through causality. Model used for analysis is a model of recursive model where all arrows have one direction without rotation of the feedback, so as not to be correlated with other variables. Calculation analysis of konfirmatori performed using SPSS software version AMOSTM 22 as shown in Figure 3.

Hasil (Inggris) 2:

Criteria for the determination of the value of the system performance by Candy PU irirgasi No. 32 / PRT / M / 2007 is described as follows.
1. The weight values ​​between 80-100 excellent performance
2. The weight values ​​between 70-79 good performance
3. The weight values ​​between 55-69 performance lacking and need attention
4. The weight values ​​between <54 performance ugly and need attention
Calculation system performance assessment Irrigation Sub IN Maneunteung West has a value of 86.49%. While the calculation of the performance appraisal system Irrigation Sub IN Maneunteung East has a value of 88.63%. Based on these values ​​when viewed criteria then Irrigation Maneunteung West and Irrigation Network Maneunteung East has excellent performance. Analysis and Test Data Respondents by Structural Equation Modeling (SEM) In the analysis and test respondent data will be explained about the steps undertaken in the analyzes respondent data and test using a model of Structural Equation Modelling (SEM) as well as software Statistical Product and Service Solutions (SPSS) AMOS (Analysis of Moment Structures). From the literature review and the framework described in the previous section, the general model of SEM with respect to this research has six independent variables (Exogenous) and one dependent variable (endogenous) and three outcome variables (Depend). Six independent variable in question is Infrastructure Physical (X1 or ξ1), productivity of plants (X2 or ξ2), Supporting Facilities OP (X3 or ξ3), Organization of Personnel Executive OP (X4 or ξ4), documentation (X5 or ξ5), documentation (X6 or ξ6) while the variable the dependent is the performance of irrigation systems (η) and the outcome variable (depend) is Qmax / Qmin cropping index increased (Y1), the increase in yields (Y2), area served by the water increases (Y3). Of these variables are arranged in the form of a flowchart. From flowcharts are then compiled structural equation, and proceed with the determination of estimation techniques. This technique is done in stages through measurment estimation model by confirmatory factor analysis techniques and continued with structural equation models. It is intended to look at the suitability of the model and causality are built. Before the estimation technique, to test whether the data follow a normal distribution or not using SPSS ver.22. If there is a respondent data that does not follow a normal distribution will be carried out transformation of data in order to meet the normal distribution assumption. Test Confirmatory Data Analysis In this stage will be to test the confirmatory analysis of a multidimensional construct with latent variables owned. Each of these analyzes also test the validity of a theoretical construct. Each of these latent variables used in the study is formed by theoretical concepts with some indicators or manifest. Analysis of further confirmatory test whether these indicators is a valid indicator as a measure of latent constructs. In other words, if these indicators are mutidimensi of a latent constructs, or not mutidimensi. The next step is testing or analysis of SEM models in full. Testing the model for Structural Equation Model (SEM) is done with two tests, which test the suitability of the model and the significance test causality through regression coefficient test. The model used for the analysis is a model of recursive model where all the arrows have a direction without a feedback loop, so it is not correlated with other variables. Calculation confirmatory analysis performed using SPSS software version AMOSTM 22 as shown in Figure 3.