scholarly journals Perancangan Decision Support System Penilaian Kinerja Dosen Berdasarkan Penilaian Prestasi Kerja Pegawai dan Beban Kinerja Dosen

MATICS ◽  
2016 ◽  
Vol 8 (2) ◽  
pp. 48
Author(s):  
Rizal Furqan Ramadhan ◽  
Herman Tolle ◽  
Muhammad Aziz Muslim

<span>The lecturer is one of the essential<br />components in the Higher Education system. Performance<br />assessment of lecturer needs to be conducted to measure<br />the lecturer capability based on the Tri Darma’s Higher<br />Education concept. Related to the nowadays technology<br />development, to conduct performance assessment of<br />lecturer can use the Decision Support System based on<br />several criteria as the assessment material. The provided<br />criteria in this paper seem to be the obtained criteria from<br />P2KP and BKD component. P2KP is performance<br />assessment of lecturer under the Badan Kepegawaian<br />Negara (BKN) supervision. Meanwhile BKD is<br />performance assessment of lecturer under the DIKTI<br />supervision. The lecturer criteria are taken from those two<br />components because the lecturers’ status cannot be<br />separated from the officer under BKN and educator under<br />the DIKTI support. It is expected that the criteria coming<br />from both components integration will be able to produce<br />performance assessment of lecturer objectively. The<br />method to proceed the assessment was Weighted Product<br />(WP). The examined data of the lecturers were the<br />Brawijaya University lecturers’ data. The final<br />examination data was conducted by taking the data<br />randomly from 20 Brawijaya University lecturers. The<br />final output from this Decision Support System is the<br />lecturers which are selected from three categories, which<br />are, less, normal, and good. It is expected that Decision<br />Support System is able to categorize the standard eligible<br />lecturer (Normal/medium category), and the lecturer<br />surpassing the standard (good category).<br /></span>

2021 ◽  
Vol 12 (2) ◽  
pp. 1-12
Author(s):  
Nan Wang ◽  
Evangelos Katsamakas

Companies seek to leverage data and people analytics to maximize the business value of their talent. This article proposes a recommendation system for personalized workload assignment in the context of people analytics. The article describes the system, which follows a novel two-level hybrid architecture. We evaluate the system performance in a series of computational experiments and discuss future extensions. Overall, the proposed system could create significant business value as a decision support system that could help managers make better decisions. The article demonstrates how computational and machine learning approaches can complement humans in improving the performance of organizations.


2019 ◽  
Vol 1361 ◽  
pp. 012066
Author(s):  
Mardi Turnip ◽  
Pipin ◽  
Siti Aisyah ◽  
Anita Christine Sembiring ◽  
Erni Murniarti

2013 ◽  
Vol 4 (2) ◽  
pp. 24-37 ◽  
Author(s):  
Rika Ampuh Hadiguna

Sustainable supply chain management (s-SCM) requires a practice tool to assess performance that able to measure, evaluate and improve the existing operations of supply chain. The research question is how to build a decision support system (DSS) for performance assessment of s-SCM. The author has designed a DSS for performance assessment of s-SCM. There are some elements in designed DSS namely existing achievement, standards, indicators achievement and priority, computation algorithm, and recommendation for improvement. Theoretical contribution of this study is the development of relationship between total and partial performance in mathematical formulation. The model that has been presented is still using generic indicators. If the particular company would like to apply model that additional indicators should change the encoding computer program. However, the modification is very easy to perform. DSS structure of this study is still able to accommodate any kind of particular requirement.


Author(s):  
Э.Э. Акимкина

Рассмотрены вопросы повышения эффективности систем поддержки принятия решений на основе многомерных хранилищ данных, имеющие существенное значение для выполнения требований по увеличению быстродействия систем. Показано, что эффективность функционирования системы поддержки принятия решений возрастает при введении в нее элементов обслуживания, которые позволяют учитывать изменение условий внешней и внутренней среды. Разработана методика проектирования системы поддержки принятия решений, учитывающая особенности ее адаптации к изменяющимся условиям с помощью элементов обслуживания. Issues of increasing the effectiveness of decision support systems based on multidimensional data warehouses are considered, which are essential for fulfilling the requirements to increase system performance. It is shown that the effectiveness of the functioning of the decision support system increases with the introduction of service elements in it, which allow taking into account changes in the conditions of the external and internal environment. A methodology has been developed for designing a decision support system that takes into account the peculiarities of its adaptation to changing conditions using service elements.


Author(s):  
A Alfarisdon ◽  
S Sumijan ◽  
Gunadi Widi Nurcahyo

Professional teachers should be able to improve their quality to achieve the vision and mission of the school where the teacher is carrying out their duty. The main task of an educator is to provide students with the process of learning, educating, training and giving directions to create a better learning process. Besides carrying out the task of teaching, an educator also needs to be able to develop themselves sustainably in order to increase self-competencies. There are four competencies should be owned by an educator they are pedagogic, personality, social and professional. To measure those competencies, school head master have to conduct teacher assessment by pointed assessors. Teacher performance assessment functions to analyses teachers ' professionalism in learning processes at a school, teachers participation on self-empowerment activities as well as capacity building. This study aims to calculate the value of teacher performance assessment optimally based on competence through a decision support system. Simple Additive Weighting method is used in this decision support system. By using Simple additive weighting, the sum of weight ratings performance on each alternative in all the attributes can be collected. This decision support system used to make it easier to take a decision and a supporter of decision in performance evaluations. Dataset treat in this research was collected in SMP Negeri 25 Padang. The data consisting of four different criteria in accordance with teacher competence. The result of the study reaches the level of accuracy of 93%. This study is expected to bring benefits for school leaders as the reference in order to optimize the teacher performance evaluation objectively.


Author(s):  
A Alfarisdon ◽  
S Sumijan ◽  
Gunadi Widi Nurcahyo

Professional teachers should be able to improve their quality to achieve the vision and mission of the school where the teacher is carrying out their duty. The main task of an educator is to provide students with the process of learning, educating, training and giving directions to create a better learning process. Besides carrying out the task of teaching, an educator also needs to be able to develop themselves sustainably in order to increase self-competencies. There are four competencies should be owned by an educator they are pedagogic, personality, social and professional. To measure those competencies, school head master have to conduct teacher assessment by pointed assessors. Teacher performance assessment functions to analyses teachers ' professionalism in learning processes at a school, teachers participation on self-empowerment activities as well as capacity building. This study aims to calculate the value of teacher performance assessment optimally based on competence through a decision support system. Simple Additive Weighting method is used in this decision support system. By using Simple additive weighting, the sum of weight ratings performance on each alternative in all the attributes can be collected. This decision support system used to make it easier to take a decision and a supporter of decision in performance evaluations. Dataset treat in this research was collected in SMP Negeri 25 Padang. The data consisting of four different criteria in accordance with teacher competence. The result of the study reaches the level of accuracy of 100 %.This study is expected to bring benefits for school leaders as the reference in order to optimize the teacher performance evaluation objectively.


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