Composite performance index as decision support method for multi case problem


  • Yossie Rossanty
  • Doli Hasibuan
  • Junika Napitupulu
  • Muhammad Dharma Tuah Putra Nasution
  • Robbi Rahim



E-Monitoring, Vocational Learning Practice, Process-Based Assessment.


Assessment is an important part of vocational learning evaluations to be done carefully, thoroughly and profoundly to obtain objective assessment criteria. If the assessment of professional practice is not done objectively, it can provide stu-dents' bias and sense of injustice. This study provides an e-monitoring offer and compares e-monitoring with personal computers and Android mobile in process-based assessment. The study used ten vocational instructors with 31 subjects tested. Assessment criteria refer to the ten assessment standards are valid, objective, fair, integrated, open, systematic, relating to the requirements, accountable, and educative. The results showed that active e-monitoring was applied after post-condition on the first, second and third day




[1] T.-P. Turban, E., Aronson, J., & Liang, Decision Support Systems and Inteligence System. US: Prentice-Hall, 2005.

[2] A. Teixeira de Almeida, “Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method,†Comput. Oper. Res., vol. 34, no. 12, pp. 3569–3574, 2007.

[3] P. Sona, T. Johnson, and C. Vijayalakshmi, “Design of a multi criteria decision model-fuzzy analytical hierarchy approach,†Int. J. Eng. Technol., vol. 7, no. 1.1, pp. 116–120, Dec. 2017.

[4] J. Sebestyénová, “Case-based reasoning in agent-based decision support system,†Acta Polytech. Hungarica, vol. 4, no. 1, pp. 127–138, 2007.

[5] J. Suyono, A. Sukoco, M. I. Setiawan, S. Suhermin, and R. Rahim, “Impact of GDP Information Technology in Developing of Regional Central Business (Case 50 Airports IT City Development in Indonesia),†in Journal of Physics: Conference Series, 2017, vol. 930, no. 1.

[6] M. Setiawan et al., “E-Business, the impact of regional growth on the improvement of Information and Communication Development,†J. Phys. Conf. Ser., vol. 1007, no. 1, p. 012044, Apr. 2018.

[7] D. Lazim et al., “Information Management and PSM Evaluation System,†Int. J. Eng. Technol., vol. 7, no. 1.6, pp. 17–19, 2018.

[8] F. A. A. Fauzy et al., “Registration System and UTM Games Decision Using the Website Application,†Int. J. Eng. Technol., vol. 7, no. 2.2, pp. 45–47, 2018.

[9] N. Nurmalini and R. Rahim, “Study Approach of Simple Additive Weighting For Decision Support System,†Int. J. Sci. Res. Sci. Technol., vol. 3, no. 3, pp. 541–544, 2017.

[10] R. Risawandi and R. Rahim, “Study of the Simple Multi-Attribute Rating Technique For Decision Support,†Int. J. Sci. Res. Sci. Technol., vol. 2, no. 6, pp. 491–494, 2016.

[11] J. Jasri, D. Siregar, and R. Rahim, “Decision Support System Best Employee Assessments with Technique for Order of Preference by Similarity to Ideal Solution,†Int. J. Recent Trends Eng. Res., vol. 3, no. 3, pp. 6–17, Mar. 2017.

[12] D. Siregar, D. Arisandi, A. Usman, D. Irwan, and R. Rahim, “Research of Simple Multi-Attribute Rating Technique for Decision Support,†J. Phys. Conf. Ser., vol. 930, no. 1, p. 012015, Dec. 2017.

[13] S. Syamsudin and R. Rahim, “Study Approach Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS),†Int. J. Recent Trends Eng. Res., vol. 3, no. 3, pp. 268–285, Apr. 2017.

[14] U. Khair, H. Fahmi, S. Al Hakim, and R. Rahim, “Forecasting Error Calculation with Mean Absolute Deviation and Mean Absolute Percentage Error,†J. Phys. Conf. Ser., vol. 930, no. 1, p. 012002, Dec. 2017.

[15] M. D. T. P. Nasution et al., “Decision Support Rating System with Analytical Hierarchy Process Method,†Int. J. Eng. Technol., vol. 7, no. 2.3, pp. 105–108, 2018.

[16] A. S. Ahmar, A. Rahman, and U. Mulbar, “A New Method for Time Series Forecasting: α- Sutte Indicator,†in IOP Conference Series: Materials Science and Engineering, 2018.

[17] A. S. Ahmar, “A Comparison of α-Sutte Indicator and ARIMA Methods in Renewable Energy Forecasting in Indonesia,†Int. J. Eng. Technol., vol. 7, no. 1.6, pp. 20–22, 2018.

[18] A. S. Ahmar et al., “Modeling Data Containing Outliers using ARIMA Additive Outlier (ARIMA-AO),†J. Phys. Conf. Ser., vol. 954, no. 1, 2018.

[19] H. Ariff, M. S. Salit, N. Ismail, and Y. Nukman, “Use of analytical hierarchy process (ahp) for selecting the best design concept,†J. Teknol., vol. 49, no. A, pp. 1–18, 2008.

[20] A. Indahingwati, M. Barid, N. Wajdi, D. E. Susilo, N. Kurniasih, and R. Rahim, “Comparison Analysis of TOPSIS and Fuzzy Logic Methods On Fertilizer Selection,†Int. J. Eng. Technol., vol. 7, no. 2.3, pp. 109–114, 2018.

[21] M. Mesran et al., “Expert System for Disease Risk Based on Lifestyle with Fuzzy Mamdani,†Int. J. Eng. Technol., vol. 7, no. 2.3, pp. 88–91, 2018.

[22] P. harliana and R. Rahim, “Comparative Analysis of Membership Function on Mamdani Fuzzy Inference System for Decision Making,†J. Phys. Conf. Ser., vol. 930, no. 1, p. 012029, Dec. 2017.

[23] R. Rahim et al., “C4.5 Classification Data Mining for Inventory Control,†Int. J. Eng. Technol., vol. 7, no. 2.3, 2018.

[24] T. Simanihuruk et al., “Hesitant Fuzzy Linguistic Term Sets with Fuzzy Grid Partition in Determining the Best Lecturer,†Int. J. Eng. Technol., vol. 7, no. 2.3, pp. 59–62, 2018.

[25] R. Rahim, Mesran, A. Putera, U. Siahaan, and S. Aryza, “Composite performance index for student admission,†Int. J. Res. Sci. Eng., vol. 3, no. 3, pp. 68–74, 2017.