Optimalisasi Key Performance Indicators (KPI) Melalui Pendekatan Balance Scorecard Upaya Mengimplementasikan Performance Management System (PMS) Pada Perguruan Tinggi

CCIT Journal ◽  
2012 ◽  
Vol 6 (1) ◽  
pp. 17-34
Author(s):  
Untung Rahardja ◽  
Muhamad Yusup Eva ◽  
Rosyifa Rosyifa
Keyword(s):  
Performance Indicators ◽  
Management System ◽  
Educational Institution ◽  
Key Performance Indicators ◽  
Individual Performance ◽  
The State ◽  
Public Institution ◽  
Performance Measurement System ◽  
Educational Institutions ◽  
Successful Implementation

SQL Server Reporting Services is a way to analyze data, create reports using the indicators and gauges. Indicators are minimal gauges that convey the state of a single data value at a glance, and most are used to represent the state of Key Performance Indicators. Manage and harmonize the performance of an institution's educational institutions, especially universities with the performance of individuals or resources, no doubt is one of the essential elements for the success of an entity of the institution. Integrate the performance of an educational institution with individual performance is not an easy process, and therefore required a systematic approach to manage it. Implementation of a strategic management system based Balanced Scorecard can be used as a performance measurement system that will continuously monitor the successful implementation of the strategy of any public educational institution and measure the performance of its resources in a comprehensive and balanced, not the quantity but the emphasis is more concerned with the quality, so the performance of educational institutions at any time can be known clearly. Contribution of Key Performance Indicators to manage and harmonize the performance of any public institution is a solution in providing information to realize the extent of work that has set targets, identify and monitor measures of success, of course, with performance indicators show a clear, specific and measurable.

scholarly journals PENGUKURAN KINERJA KARYAWAN DENGAN HUMAN RESOURCES SCORECARD DI PONDOK PESANTREN ASSYAFIIYAH TAMBERU BATUMARMAR PAMEKASAN

2020 ◽  
Vol 5 (1) ◽  
pp. 23-30
Author(s):  
Faiqoh Bahjah Lailatus Siyami ◽  
Terisa Sapta Dasyanti
Keyword(s):  
Human Resources ◽  
Human Resource ◽  
Performance Indicators ◽  
Employee Performance ◽  
Educational Institution ◽  
Boarding School ◽  
Key Performance Indicators ◽  
Performance Measurement System ◽  
Board Performance ◽  
And Performance

Pondok Pesantren  (Islamic Boarding School) is one of the oldest pedagogical institutions in Indonesia. Pondok Pesantren Assyafiiyah is one of Islamic BoardingSchools located in the area of Madura. To be a productive Islamic Boarding School (i.e.a boarding school which fits the need of pesantren), Assyafiiyah Islamic Boarding School needs to measure the performance of the employee. In this case, it is known as Board Performance which involves human resources, strategy, and performance. To produce a superior educational institution, the implementation of Human Resource Scorecard method that has a positive and significant effect on the institution of Assyafiiyah Islamic Boarding School is very necessary. It is used as an analysis of human resource performance. It is expected that this kind performance measurement system (i.e. Human Resource Scorecard) is able to provide the best solution in improving employee performance. Try Out is given and conducted on the institution to measure the performance system achievemet of its human resources. Therefore, the Key Performance Indicators which does not reach the target can be discovered. In other words, such kind of Try Out can be used to analyze the necessary refinement and improvement of the Key Performance Indicators previously mentioned. Based on the status quo, there are two major problems in this research: 1) how is the mapping of Human Resourse Scorecard?; and 2) what are the factors influencing the optimalization of Board Performance in Assyafiiyah Islamic Boarding School through Human Resource Scorecard?

ISM-MICMAC approach for analysis of project-based learning barriers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Khalid Perwez ◽  
Goutam Kumar Kundu
Keyword(s):  
Structural Model ◽  
Educational Institution ◽  
Project Based Learning ◽  
Educational Institutions ◽  
Successful Implementation ◽  
Implementation Barriers ◽  
Higher Educational Institutions ◽  
Content Type ◽  
Barriers To Implementation ◽  
Higher Educational

Purpose This paper aims to identify and model the key barriers to implementation of project-based learning (PjBL) in higher educational institution. Design/methodology/approach Using the interpretive structural modelling (ISM) technique, the study has developed a hierarchical-based model, depicting the mutual relationships amongst the key barriers to implementation of PjBL. Additionally, the paper has performed Matrice d’ Impacts Croises Multiplication Appliqué an Classement (MICMAC) analysis to categorize the barriers in terms of their driving and dependence power. Findings The study has identified the key barriers to implementation of PjBL and presented an integrated model using ISM. Higher educational institutions need to pay attention to diagnose and overcome these hindrances for effective implementation of PjBL in their programmes. Research limitations/implications The study adopts a systematic way to model the relevant barriers to implementation of PjBL. The ISM-based model would help higher education institutions to prioritize the issues as the barriers are hierarchically structured. As the input to model development is based on the experts’ opinions, it may be biased, influencing the final output of the structural model. Originality/value The presentation of PjBL implementation barriers in the form of an ISM-based model is a new effort. The model would be useful to understand the barriers and overcome these for the successful implementation of PjBL in higher educational institutions.

scholarly journals A Novel Method for Performance Measurement of Public Educational Institutions Using Machine Learning Models

2021 ◽  
Vol 11 (19) ◽  
pp. 9296
Author(s):  
Talha Mahboob Alam ◽  
Mubbashar Mushtaq ◽  
Kamran Shaukat ◽  
Ibrahim A. Hameed ◽  
Muhammad Umer Sarwar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Feature Selection ◽  
Artificial Neural Networks ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Educational Institutions ◽  
Institutional Performance ◽  
Learning Models ◽  
Machine Learning Models

Lack of education is a major concern in underdeveloped countries because it leads to poor human and economic development. The level of education in public institutions varies across all regions around the globe. Current disparities in access to education worldwide are mostly due to systemic regional differences and the distribution of resources. Previous research focused on evaluating students’ academic performance, but less has been done to measure the performance of educational institutions. Key performance indicators for the evaluation of institutional performance differ from student performance indicators. There is a dire need to evaluate educational institutions’ performance based on their disparities and academic results on a large scale. This study proposes a model to measure institutional performance based on key performance indicators through data mining techniques. Various feature selection methods were used to extract the key performance indicators. Several machine learning models, namely, J48 decision tree, support vector machines, random forest, rotation forest, and artificial neural networks were employed to build an efficient model. The results of the study were based on different factors, i.e., the number of schools in a specific region, teachers, school locations, enrolment, and availability of necessary facilities that contribute to school performance. It was also observed that urban regions performed well compared to rural regions due to the improved availability of educational facilities and resources. The results showed that artificial neural networks outperformed other models and achieved an accuracy of 82.9% when the relief-F based feature selection method was used. This study will help support efforts in governance for performance monitoring, policy formulation, target-setting, evaluation, and reform to address the issues and challenges in education worldwide.

scholarly journals Management of receivables and liabilities of the enterprise

2020 ◽  
pp. 28-31
Author(s):  
Olha YARMAK ◽  
Kyrylo PROKUDIN
Keyword(s):  
Performance Indicators ◽  
Management System ◽  
Significant Contribution ◽  
Key Performance Indicators ◽  
Economic Security ◽  
Debt Management ◽  
Effective Management ◽  
Management Algorithm ◽  
Accounts Payable ◽  
Five Elements

Introduction. For economic security and stability of the enterprise is an important topic of research and identification of ways to manage receivables and payables. A significant contribution to solving the problems of theoretical and practical aspects of receivables management of enterprises was made by such domestic scientists as O. Lishchenko, I. Sereda, О. Pustiak, Y. Demchenko, O. Rybalko, M Sychova, N. Sirenko, O. Smirnova et.al. However, the multifaceted nature of the problem requires further research on the theoretical and methodological foundations of ensuring the formation and functioning of an effective management system of receivables of the enterprise. The purpose of the work is in the researching and studying the management system of receivables and payables at the enterprise. Results. However, opinions on the direct organization of debt management of the enterprise are quite different. The model of receivables management, according to O. Lishchenko, I. Sereda, includes five elements. While O. Pustiak and Y. Demchenko believes that the algorithm for managing the company's calculations for goods, works and services includes as many as eight stages. Thus, according to O. Rybalko and M. Sychova, the receivables management algorithm should include seven stages. In turn, the model of accounts payable management according to N. Sirenko and O. Smirnova includes only three elements. However, as we can see from the above information, most authors forget that in the debt management system one of the important stages is their relationship with the basic goals and key performance indicators of enterprises, as well as with the conditions of business. In this case, if the consideration of the basic objectives in one way or another can still be found in the proposed algorithms for debt management of the enterprise, then taking into account the conditions of development of macro- and mesoenvironment of the enterprise is not carried out. Conclusion. Thus, the development of management decisions to optimize the level of receivables and payables should be preceded not only by an analysis of the conditions of existence of the enterprise, but also an assessment of the level of manageability of the debt itself. At the same time, at high and medium levels of management, the company's management should use incentives to reduce the level of debt of the company, while at low and insufficient – mostly “heavy”.

Key Performance Indicators for the Organized Farm Products Retailing in India

2017 ◽  
pp. 1316-1329
Author(s):  
Rajwinder Singh ◽  
Ajit Pal Singh ◽  
Bhimaraya A. Metri
Keyword(s):  
Performance Measurement ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Performance Measurement System ◽  
Volume Flexibility ◽  
Farm Production ◽  
Product Personality ◽  
Cost Distribution ◽  
Livestock Products ◽  
Agriculture Products

The Non-livestock products include Horticulture products (flowers, fruits, nuts, vegetables and medicinal plants) and Agriculture products (Crops like; rice, cotton, wheat). These items share the maximum sale of the farm products. Unfortunately, the farm production in India has witnessed a huge wastage. It has attracted the attention of many practitioners and policy makers. Witnessing the opportunity many organized retail players have entered the arena to sell farm products. However, the supply chain (SC) performance measurement has remained the major challenge as “No measurement no improvement”. Many organizations are searching for an efficient SC performance measurement system. Our study recommends that the SC performance shall be improved by developing a SC strategy based on a limited set of key performance indicators (KPI). Otherwise, managers shall waste time and resources on the undesirable performance indicators. We have identified and classified the KPI for non-livestock retailing SC management into five groups. These are 1) Customer Attraction Metrics (product quality, product personality, process quality); 2) Inventory Metrics (fill rate, customer response time, return adjustment, spoilage adjustment, and Vendor managed inventory); 3) Attractiveness Metrics (inventory cost, distribution cost, Return on investment, stakeholder value, sales profit and channel flexibility); 4) Transportation Metrics (shipping errors, and volume flexibility); and 5) Customer Metrics (lead time, delivery flexibility, and backorder flexibility). This grouping shall help the practitioners to focus on a limited set of KPI for better management of supply chains.

scholarly journals Development of A Model to Increase the Investment Attractiveness of an Enterprise

2019 ◽  
Vol 9 (1) ◽  
pp. 3961-3964
Keyword(s):  
Performance Indicators ◽  
Key Performance Indicators ◽  
The State ◽  
Investment Activity ◽  
Object A ◽  
Mass Behavior ◽  
Specific Investment ◽  
Industrial Enterprises

Based on the researches, a model of effective investment activity has been developed. As part of the task, a system of key performance indicators (KPI) is determined that reflects the strategy for managing investment resources and signaling the state of the management object. A range of indicators is proposed that will classify factors that determine a specific investment situation. Moreover, these indicators are measured not so much in quantitative value as in qualitative. Measures of impact of state influence on increasing the investment attractiveness of industrial enterprises have been developed. It has been established that in an unstable economy, the methods of “following the investor” based on the analysis of the mass behavior of already functioning investors are more appropriate.

scholarly journals Analytical support in non-current assets management

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Olena Bohdaniuk ◽  
◽  
Oleksandr Bohdaniuk ◽  
Keyword(s):  
Performance Indicators ◽  
Management System ◽  
Capital Investment ◽  
High Performance ◽  
The State ◽  
Individual Species ◽  
Production Potential ◽  
Construction Time ◽  
Fixed Assets ◽  
The Impact

In modern conditions, an important role is played by the ability to manage the assets of the enterprise, which depends on the effective development of production, maximizing profits and increasing the competitiveness of the enterprise. In order to achieve high results of the enterprise it is important to monitor and analyze the state, the dynamics of the use of assets, to assess their impact on the main performance indicators of the enterprise. To do this, it is necessary to have timely and relevant analytical information. That is why the aim of the study were theoretical, methodological and practical issues of analysis of non-current assets in the management system of development of production potential of enterprises. The study was conducted on the materials of Agricultural Company "Svoboda", Odessa region, Izmail district, p. Stara Nekrasivka. The company’s reporting data for 2000 - 2019 were used. During the research general scientific and applied methods and techniques were used, in particular: dialectical method of cognition, analysis and synthesis, system approach (for studying theoretical issues of analysis of non-current assets); comparison, questionnaires, expert assessments, coefficient analysis (study of the practice of analysis of non-current assets); econometric modeling (assessment of the value of non-current assets in the management system of the production potential of the enterprise). The results of the modelling indicate the impact of the value of non-current assets, including fixed assets, the degree of their depreciation on the performance of the enterprise. We consider that for high performance of the enterprise it is important to monitor and analyze the state, the dynamics of the use of assets, to assess their impact on the main performance indicators of the enterprise. To increase the efficiency of formation and use of non-current assets in the analyzed company it is necessary to: implement all opportunities to increase production, improve its quality, increase competitiveness, ensure high return on investment and capital investment; reduce construction time and work in progress; to improve the acquisition of fixed assets, especially in the direction of optimizing the relationship between their individual species, groups.

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