Implementasi Simple Additive Weighting Untuk Monitoring Aktivitas Perkuliahan Dengan Menggunakan Radio Frequency Identification

Article Info
Submitted: 03-05-2017
Published: 27-05-2017
Section: Research Articles

Monitoring of learning activities has a very important role to improve the quality of education in University. The research  aims to develop a monitoring system of learning activities in real time by using simple additive weighting and radio frequency identification technology.A simple additive weighting method is used to determine the weighting of each criterion involved in the system, while radio frequency identification technology is used electronically to identify and store learning activity information. Monitoring system built using learning activities data in the room and lecturer activities using radio frequency identification tag in real time. The results of the system include the recording of monitoring data of lecturing activities that produce lecturer attendance reports on each class in real  time, thus making efficient the time, effort and cost. The system also produces a ranking of lecturer discipline on each of the criteria that gives the difference of outcomes among the consistent lecturers present on schedule with inconsistent lecturers present on schedule. The results of monitoring of lecture activities can be used for university leaders as a decision-making material quickly based on actual data in real time to improve the quality of the learning process.


Simple Additive Weighting; Radio Frequency Identification; Learning; Monitoring Systems tection

  1. Ashari Darmawan 
    MSI Undip , Indonesia

Agarski, B., Budak, I., Vukelic, D., Hodolic, J., 2015. Fuzzy multi-criteria-based impact category weighting in life cycle assessment, Journal of Cleaner Production 33, 1 – 11.

Akpinar, S., Kaptan, H., 2010. Computer aided school administration system using RFID technology, Journal of Procedia Social and Behavioral Sciences 2, 4392 – 4397.

Bazhenov, R., Bazhenova, N., Khilchenko, L., Romanova, M., 2015. Components of Education Quality Monitoring : Problems and Prospects, Journal of Procedia - Social and Behavioral Sciences 214, 103 – 111.

Chang, T.H., Hsu, S.C., Wang, T.C., 2013. A proposed model for measuring the aggregative risk degree of implementing an RFID digital campus system with the consistent fuzzy preference relations, Journal of Applied Mathematical Modelling 37, 2605 – 2622.

Chou, S.Y., Chang, Y.H., Shen, C.Y., 2008. A fuzzy simple additive eighting system under group decision-making for facility location selection with objective/subjective attributes, Journal of Operational Research 189, 132 – 145.

Daraioa, C., Bonaccorsi, A., Simar, L., 2015. Rankings and university performance : A conditional multidimensional approach, European Journal of Operational Research 244, 918 – 930.

Gladysz, B., Santarek, K., 2015. An assessment of technologies with wide range of impact. A case of RFID, Journal of Procedia Manufacturing 3, 1966 – 1973.

Glushak, N., Katkow, Y., Glushak, O., Katkowa, E., Kovaleva, N., 2015. Contemporary Economic Aspects of Education Quality Management at the University, Journal of Procedia - Social and Behavioral Sciences 214, 252 – 260.

Modarres, M., Sadi-Nezhad, S., 2005. Fuzzy Simple Additive Weighting Method by Preference Ratio, Journal of Intelligent Automation and Soft Computing 11 (4), 235 – 244.

Oztaysi, B., Baysan, S., Akpinar, F., 2009. Radio frequency identification (RFID) in hospitality, Journal of Technovation 29, 618 – 624.

Roberts, C.M., 2006. Radio Frequency Identification (RFID), Journal of Computers & Security 25, 18 – 26.

Wang, Y.J., 2015. A fuzzy multi-criteria decision-making model based on simple additive weighting method and relative preference relation, Journal of Applied Soft Computing 30, 412 – 420.