doi:10. 21831/cp. Cakrawala Pendidikan. Vol. No. February 2021 DOES ELEMENTARY SCHOOL TEACHER PERFORMANCE MATTER? Muhamad Afandi1*. Sri Wahyuningsih2. Linda Ika Mayasari3 Universitas Islam Sultan Agung-Semarang. Indonesia Institut Agama Islam Negeri Kudus. Indonesia Sekolah Tinggi Keguruan dan Ilmu Pendidikan Kusumanegara. Indonesia *e-mail: mafandi@unissula. Abstract: The performance of teachers in realizing holistic education can be observed from how the teachers prepare, implement, and evaluate the learning process or their pedagogic knowledge. This study aims to examine the teachersAo ability to plan, implement and evaluate to assess their performance in the elementary school learning process based on tenure and gender. This research is a quantitative study with direct observation, which was conducted on 162 elementary school teachers from 30 public elementary schools in Semarang. Indonesia. Data were collected using assessment sheets. The observer was the principal which belonged to the same school as the respondent. The data were then validated using PearsonAos correlation based on group tenure and gender. The instrument was analyzed using structural equation modelling (SEM) and showed that the imposition of the confirmatory factor analysis (CFA) was achieved more than a critical value of . 50 which meant that the construct was valid and reliable. The understanding on teachersAo performance was indicated by teachersAo activities in preparing their class. This study found that there was no significant correlation between teachersAo performance and teaching experience or that and gender. Keywords: teachersAo performance, planning, implementation, assessment, elementary school. APAKAH KINERJA GURU DI SEKOLAH DASAR BERMASALAH? Abstrak. Kinerja guru dalam mewujudkan pendidikan yang holistik dapat diamati dari bagaimana guru menyiapkan, menerapkan, dan mengevaluasi proses pembelajaran atau pengetahuan pedagogi Penelitian ini bertujuan untuk menguji kamampuan merencanakan, melaksanakan, dan penilaian sebagai kinerja guru dalam proses pembelajaran sekolah dasar yang didasarkan pada masa kerja dan jenis kelamin. Penelitian ini merupakan penelitian kuantitatif dengan observasi langsung yang dilakukan kepada Guru sekolah Dasar yang berjumlah 162 guru dari 30 Sekolah Dasar Negeri di Kota Semarang. Indonesia. Data dikumpulkan dengan menggunakan lembar penilaian. Pengamat adalah kepala sekolah dari sekolah yang sama dari masing-masing responden. Data kemudian divalidasi menggunakan korelasi Pearson berdasarkan masa kerja kelompok dan jenis kelamin. Analisis instrumen menggunakan Structural Equation Modelling (SEM) yang menunjukkan bahwa penerapan analisis faktor konfirmatori (CFA) lebih dari nilai kritis 0,50 yang berarti konstruk tersebut valid dan reliabel. Pemahaman tentang kinerja guru ditunjukkan dengan aktivitas guru dalam mempersiapkan kelasnya. Penelitian ini menemukan bahwa tidak ada korelasi yang signifikan antara kinerja guru dengan pengalaman mengajar dan jenis kelamin. Kata Kunci: kinerja guru, perencanaan, pelaksanaan, penilaian, sekolah dasar. INTRODUCTION Education aims to develop the potential, knowledge, insights and experiences of students. It is a process that involves cognitive, affective and psychomotor aspects (Markle & Banion. A holistic learning process must be able to be developed when the aspects possessed by the student. Teachers as an educator have main task on educating, teaching, guiding, directing, training, and evaluating students. They play a main role in the implementing the curriculum (Sumual & Ali, 2. Moreover, they are expected to have the teachersAo competences. One of them is pedagogical competence which can help them face the diversity of students especially in elementary schools (Mumpuniarti. Handoyo. Pinrupitanza, & Barotuttaqiyah, 2. In recent years, the teachersAo quality and effectiveness have been the major issue in educational settings (Dutta. Halder, & Sen, 2017. Mahgoub & Alyas. Siri. Supartha. Sukaatmadja, & Rahyuda. Further, the teacher performance and teacher effectiveness are utilized as the basis for decisions about continued employment, tenure and promotion, and financial aspect (Morgan. Hodge. Trepinski, & Anderson, 2. Meanwhile, the performance of teachers in realizing holistic education can be observed from how the teacher prepares the implementation and evaluation on the learning process or teacherAos pedagogic knowledge (Murkatik. Harapan, & Wardiah, 2. Pedagogic knowledge helps them to compile learners based on scientific facts to develop more meaningful learning process (Keengwe & Onchwari, 2. In other words, teacher performance is a determiner of learning process which reflects the teacherAos pedagogic knowledge (Hakim, 2. TeacherAos ability in learning aspects is an important factor that determines performance shown by level of expertise on conducting learning process (Usop. Askandar. Langguyuan-Kadtong, & Usop, 2. They have played a vital role in educating the students. Regarding it, elementary teachers in Indonesia are supposed to have better performances in teaching. This can be reviewed through their teaching activities at schools. covers the ways of how they prepare teaching implement their teaching activities and conducting assessments for their students. Several studies related to teacher performance and curriculum examined how improving teachersAo performance can be conducted using training and development in Ghana (Hervie & Winful, 2. Obara & Sloan . explored the performance standards implementation in mathematics learning still effective for teachers to conduct a learning process following the new curriculum. Also. Alghamdi & Al-Salouli . investigated the effect of science teachersAo perceptions of their performance and learning process, mainly when the new curriculum focuses on critical thinking and problem-solving is applied. Then various approaches can be developed to assess and evaluate teacher performance. Hassan. Alias. Saleh, & Awang . , involving engineering teachers, investigated the teacher performance which can be assessed from studentsAo perception. Further. Lee. Lam, & Li . described how far the learning processAo effectiveness and evaluation on the teacherAos performance. Meanwhile. Ohle. Boone, & Fischer . explored the relationship of content knowledge (CK) possessed by physics teachers to the studentsAo interest and achievement. In a broader area. Blymeke & Delaney . highlighted the mathematics teachersAo knowledge across countries briefly. Unlike the previous studies exploring teachersAo performance viewed from the studentsAo perception and measuring the teacherAos performance in certain subjects such as physics and mathematics, this present study more focuses on assessing teachersAo performance in one of Indonesian elementary schools during the teaching and learning process on all subjects including Mathematics. Physics. Religion. Language. Civic Education and so on. Moreover, it investigates the ways of how they plan, implement, and give the assessment on their teaching activities in the classroom since it is important to understand deeply, how much teacher performance related to the teaching activities to develop comprehensive approach in teaching assessment. The main reason for emphasizing the elementary school teachers in Indonesia is to get more data regarding the real understanding of teachers and school activities in Indonesian elementary school particularly in Banyumanik District. Central Java. Indonesia. This study aims to test the ability to plan, implement and evaluate teacher performance in the primary school learning process based on tenure and METHODS This study used quantitative method with direct observation to measure the performance of elementary school teachers in teaching activities in the city of Semarang. This study employed teaching activities as a latent variable or main construct, which consisted of indicators as subconstructs, such as preparation, implementation and evaluation. The sampling technique was carried out using stratified random sampling with the determination of respondents using a lottery. A total of 162 elementary school teachers from 30 public schools in Banyumanik District. Semarang City were used as research Does Elementary School TeacherAos Performance Matter? The respondents were drawn based on Teacher Working Group/ Cluster then samples were taken randomly to obtain representative Teacher performance data were observed using assessment sheets instruments equipped with assessment scale. The observers in this study was the principals from same school as the respondent work Homebase. Before the instrument used to collect the data, the observers were trained on how to use the assessment sheets instrument, data collection techniques, to avoid personal perspectives or observerAos bias. The instrument consists of three indicators, eight sub-indicators and total of 64 statement (Table . The instrument was also completed with assessment rubric to explain scoring scale form 1-4. It helps all observers to gain same perspective and understanding in learning observation. Before used, the instrument was validated by three elementary school learning experts. Expert validation included language . egibility, easy to understand, and unambiguou. , and statement compatibility to conduct evaluation . eliability, relatability, and on targe. The validation aimed to determine the shortcomings of instruments. Instrument Calibration The instrument was calibrated for twice, using expert validation and statistic calculation. For the first, after the validated instrument was determined by the experts, then the instrument was used for observing teacher performance as a data collection in the primary school where each respondent was located. The second part, after data collection, the instrument was validated by analyzing the constructed structure among indicators, sub-indicators, and loading factors. The analysis was done through calculation of confirmatory factor analysis (CFA). The questionnaires stated as valid instrument if it fulfils the criteria as mention in Table 2. Table 1. Number of Statements per Indicator to Observe TeacherAos Performance Number of Indicators Sub-Indicators Statements Planning Learning instrument preparation: Identification of the learning planAos components Learning activities Introduction activities Conducting apperception and motivation activity Delivering learning competencies and activity plans Main learning activities Mastering subject material during learning process Applicating various learning strategies in learning process Applicating scientific learning approach . cientific process-based approac. Applicating integrated thematic learning/ intra thematic learning Utilizing learning resources/ media in learning Involving students in discussion during learning process Use of correct and appropriate language in learning Conclusion Conducting reflection, assessment and evaluation Evaluation TeacherAos cognitive evaluation Learning product evaluation Learning situation evaluation Total statement . Note: the number of statements are used for loading factor in path analysis Table 2. Benchmark Value for Validity and Reliability Parameter Parameter Validity Standardized loading Error variant Reliability Convergent validity (CV) Variance extracted (VE) Construct reliability (CR) Discriminant validity (DV) Benchmark Value Ou . O . Ou . Ou . Note : n/d = not determined because the parameter is not considered in this research Cakrawala Pendidikan. Vol. No. February 2021 doi:10. 21831/cp. Data Analysis Technique Structural equation modelling (SEM) analysis was carried out using software packages Lisrel version 8. 80 (Vieira, 2. The estimation method of the relationship between variables and indicators using Maximum Likelihood (ML) with input for each analysis was covariance matrix of items or scale scores (Voelkle. Oud, von Oertzen, & Lindenberger, 2. The dependent variable was teacher performance or expressed as main construct, which was analyzed through a causative relationship with three indicators and seven sub-indicators (Table Teacher performance variable was measured through observation on each indicator in the form of planning, implementation and evaluation of The learning implementation planning indicator . : X. consisted of identity and components of the learning implementation plan (RPP) as one and only sub-indicator. The results of observations were tabulated and coded, before proceeding to model tested using univariate and multivariate normality. The assumption of normality was expressed in statistical value of z . ormal dat. for skewness . he tendency of data distribution to lean left or righ. and kurtosis . he peak condition of the graph is neither convex nor transparen. the z value . kurtosis and or nskewnes. was greater 05 ( = 5%) then it can be said that the data distribution was normal. Calculation and construction of SEM models on data that were not normally distributed can still be done using the ML-method. Structuring of SE M was constructed by correcting standard errors and some goodness of fit indices (GFI) utilization (Awang. Afthanorhan, & Asri. Hosseinifard & Abbasi, 2012. Smits. Timmerman, & Stegeman, 2. Table 3. Structural Component Definition to Construct SEM Path Analysis Variable Indicator Sub Indicator Teacher performance . Planning . Learning activities . Learning instrument preparation (Y. Introduction activities (Y. Main learning activities (Y. Conclusion (Y. Cognitive evaluation (Y. Learning product evaluation (Y. Learning situation evaluation (Y. Evaluation . The validity hypothesis of the SEM structural model was tested through the Goodness-of-Fit Index (GFI) which consisted of 18 parameters (Table . In addition, external factors are measured to determine whether there was influenced or relevance to teacher The factors measured include gender . ale versus femal. and the service period of service as a professional teacher. Correlation Analysis between Working Period (Experienc. Gender and Teacher Performance The Pearson analysis was conducted using SPSS ver. 23 to understand correlation between working period . , gender and teacher The significant correlation was determined if the significance value O -value = Model Specifications This study used an analysis of the structural second order model of confirmatory factor analysis (CFA 2nd orde. to see the causality relationship between the sub-indicators and indicators of teacher performance assessment. Model by converting path charts into a series of measurement model equations. FINDINGS AND DISCUSSION Findings Based on the univariate normality test, there were only two sub-indicators that were distributed normally, i. learning conclusions (Y. and cognitive evaluation (Y. This was indicated by p-value of skewness and kurtosis that were higher than . 05 (Table . This indicates that data distribution of Y4 and Y5 have data meant equal to data mode. Does Elementary School TeacherAos Performance Matter? Table 4. Univariate and Multivariate Analysis of Sub-Indicator Data Distribution Variable Univariate normality Instruments preparation (Y. Introduction activities (Y. Main activities (Y. Conclusion (Y. Cognitive evaluation (Y. Output evaluation (Y. Situation evaluation (Y. Multivariate normality Skewness Kurtosis Skewness and Kurtosis Value z-score p-value value z-score p-value chi-square p-value Note: Star mark (*) shows the normality of data distribution . ean equal to modus and media. Although the data was normally distributed for testing two sub-indicators univariately, multivariate testing for all subindicators showed the opposite results. The multivariate normality test was conducted and the result showed that p-value of skewnes and Kurtosis were < . SEM modelling analysis was still used in this research for assessing the constructs of theoretical model of relationship among sub-indicators, indicators and variables. CFA 2sd Order The SEM construction results shown that the seven sub indicators were valid and reliable in forming teacher performance variables, this result is presented in Table 5. This was indicated by the construct reliability (CR) value which shown the internal consistency of indicator was Ou . While based on the value of extracted variant, the data were considered reliable because the VE score was Ou . 50, which means that variances quantity of indicators that was extracted by formed variables was more than the error variants. In the validity and reliability analysis of CFA, sub-construct or planning, teaching activities, and evaluation indicators have a value of CR Ou . 70 and VE values Ou . So, it can be concluded that the three indicators were reliable in develop teacher performance as the main variable. SEM analysis was visualized to describe the relationship between main variable to the indicator, as well as the indicators to the sub-indicators (Figure . Table 5. Validity and Reliability Analysis of Variable Latent Variable Manifest Variable Construct Sub-Construct CFA 1st order Teacher Planning (X. (TP) Teaching activities (X. Learning instruments preparation (Y. Introduction activities (Y. Main learning activities (Y. Conclusion (Y. Evaluation (X. Cognitive evaluation (Y. Learning product evaluation (Y. Learning situation evaluation (Y. CFA 2nd order Teacher Planning (X. performance Teaching (TP) activities (X. Evaluation (X. Cakrawala Pendidikan. Vol. No. February 2021 Standardized Error Reliability Loading Variant CR VE 99 Valid and 73 Valid and doi:10. 21831/cp. Chi-Square df = 12, p-value = . 000,= RMSEA = . Chi-. Square = 65, df = = 12,65, p-value = . RMSEA Figure 1. SEM Analysis Showing the Model of Learning ProcessesAo Sub-Indictors to Teacher Performance SEM modelling that was formed resulted the direction of causative effect between teacher performance and planning indicators, main teaching activities and evaluation. The calculation results showed that the CFA 2nd order factor loading teacher performance was worth more than a critical value of . The value of the factor loading of variable teacher performance on planning indicators was . 73 and with R2 of 54, the teaching activities indicator showed a factor loading value of . 89 and R2 of . 79, while in the evaluation indicator the factor loading value 97 with R2 of . Based on this, the variables with indicators have a high causative effect. Meanwhile, based on the CFA 1st order calculation also showed the high linkages of causative effects between indicators and subindicators. The average loading factor at CFA 1st order is in the range below . 50 but has a standardized factor loading and the range R2 is 50 except for the evaluation indicator for learning product evaluation (Y. and situation evaluation (Y. which are successively each has R2 value of . 46 and . Based on this explanation, the analysis model showed that both variable to indicators and indicators to sub-indicators have a causative effect. Based on the combination analysis of statistical goodness of fit indices parameters, as many as 10 out of 18 parameters were stated that the causative model between teacher performance scores and indicators in this study was generally good fit (Table . It was indicated that the teacherAos performance has a causative relationship with sub-indicators that compose the primary school teacher population. Table 6. The Goodness of Fit Analysis Parameters Chi-Square p-value GFI SRMR RMSEA CFI Benchmark for Acceptable Compatibility Smaller than F table is better p Ou . GFI Ou . ood fi. , 80 O GFI < . arginal fi. RMR O . 05 < RMSEA O . ood fi. , 08 < RMSEA O 1 . arginal fi. CFI Ou . ood fi. , 80 O CFI < . arginal fi. Model Index Status Poorly fit Poorly fit Good fit Good fit Marginal fit Good fit Note: GFI = goodness-of-fit index. SRMR = standardized root mean square residual. RMSEA = root mean square error of CFI = comparative fit index. Does Elementary School TeacherAos Performance Matter? However, the results of the correlation analysis based on the work period (Table . and gender (Figure . did not indicate differences or association with learning activities as an indicator of the performance achievement of elementary school teachers. Observation data did not show any correlation and influence between years of service and teacher performance indicators. But the working period of 0-8 years has the highest performance in planning, learning and evaluation activities when compared to other This value has decreased in line with the period of employment while the lowest teacher performance was indicated by teachers with working period 16-24 years. Teacher performance figures in the 24-32 year working period have increased. The same result was also shown by the results of assessment of teacher performance that related to the gender. In all aspects of the indicators, there was no correlation and association with gender. Based on statistical analysis, female teachers have higher levels of performance in all aspects on learning indicator even it was no significant difference with male teachers (Figure . Table 7. Teacher PerformanceAos Indicator Score Regarding Time Duration (Yea. in Semarang Elementary School (Means A SD) Time Duration . 0