Conclusion In this paper we shed some light on the question of how to  terjemahan - Conclusion In this paper we shed some light on the question of how to  Bahasa Indonesia Bagaimana mengatakan

Conclusion In this paper we shed so

Conclusion
In this paper we shed some light on the question of how to identify the most effective school with respect to achievements, attendance, social activities and projects criteria in the scope of a local education project. For this purpose, PROMETHEE multi criteria decision making method was applied. On the basis of a restricted dataset gathered from five of secondary school and two of high school, the comparison employing PROMETHEE yields evaluation results that are considerably inconsistent in case assumptions are modified.
If only schools were evaluated according to weighted criteria, we might possess more accurate results, so the shortcoming of the study is that equal weights were allocated to criteria thanks to lack of sufficient knowledge about appropriate weightings. PROMETHEE does not assist decision-maker for assigning proper weights. For this reason, AHP features can combine with PROMETHEE. The weights obtained from AHP can be included in performance evaluation process by using them in PROMETHEE computations and the alternative schools can be prioritized based on these weights. This may improve the proposed method and is one of the directions in our future research. Another point is that schools were evaluated with respect to only four criteria related to school results at the end of semester. In fact, there are many of other performance indicators in school effectiveness literature. In case different criteria are taken into account, performance ranking of schools may diversify.
Apart from some weaknesses regarding the method as well as the criteria employed in this analysis, this paper shows the potential of PROMETHEE not only for evaluation of schools as a controlling mechanism in general, but also for a self-assessment tool in particular. Our results might be useful as the starting point of a more effective allocation of resources and subsidies. Additionally, conducting such a performance comparison on a periodic basis (eg annual or biannual) would create a time series of evaluation results to provide detailed information for policy makers and school administrators regarding the dynamics of school effectiveness that is, how the ranking order has changed over time.
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Conclusion In this paper we shed some light on the question of how to identify the most effective school with respect to achievements, attendance, social activities and projects criteria in the scope of a local education project. For this purpose, PROMETHEE multi criteria decision making method was applied. On the basis of a restricted dataset gathered from five of secondary school and two of high school, the comparison employing PROMETHEE yields evaluation results that are considerably inconsistent in case assumptions are modified. If only schools were evaluated according to weighted criteria, we might possess more accurate results, so the shortcoming of the study is that equal weights were allocated to criteria thanks to lack of sufficient knowledge about appropriate weightings. PROMETHEE does not assist decision-maker for assigning proper weights. For this reason, AHP features can combine with PROMETHEE. The weights obtained from AHP can be included in performance evaluation process by using them in PROMETHEE computations and the alternative schools can be prioritized based on these weights. This may improve the proposed method and is one of the directions in our future research. Another point is that schools were evaluated with respect to only four criteria related to school results at the end of semester. In fact, there are many of other performance indicators in school effectiveness literature. In case different criteria are taken into account, performance ranking of schools may diversify. Apart from some weaknesses regarding the method as well as the criteria employed in this analysis, this paper shows the potential of PROMETHEE not only for evaluation of schools as a controlling mechanism in general, but also for a self-assessment tool in particular. Our results might be useful as the starting point of a more effective allocation of resources and subsidies. Additionally, conducting such a performance comparison on a periodic basis (eg annual or biannual) would create a time series of evaluation results to provide detailed information for policy makers and school administrators regarding the dynamics of school effectiveness that is, how the ranking order has changed over time.
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