Using Bayesian network for determining the recipient of Zakat in BAZNAS Pekanbaru

Akbarizan, Rahmad Kurniawan, Mohd Zakree Ahmad Nazri, Siti Norul Huda Sheikh Abdullah, Sri Murhayati, Nurcahaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The National Amil-Zakat Agency (Baznas) in Pekanbaru has the function to collect and distribute zakat in Pekanbaru city. Baznas Pekanbaru should be able to determine Mustahik properly. Mustahik is a person eligible to receive zakat. The Baznas committee interviews and observes every Mustahik candidates to decide whom could be receive the zakat. Current Mustahik determination process could lead to be subjective assessment, due to large number of zakat recipient applicants and the complexity of rules in determining a Mustahik. Therefore, this study utilize artificial intelligence in determining Mustahik. The Bayesian Network method is appropriate to apply as an inference engine. Based on the experimental results, we found that Bayesian network produces a good accuracy 93.24% and effective to use in data set have an uneven class distribution. In addition, based on experiments by setting an alpha estimator's values, at 0.6 to 1.0 can increase the accuracy of a Bayesian Network to 95.95%.

Original languageEnglish
Title of host publicationProceedings - 2018 2nd International Conference on Electrical Engineering and Informatics
Subtitle of host publicationToward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages12-17
Number of pages6
ISBN (Electronic)9781538660003
DOIs
Publication statusPublished - 1 Oct 2018
Event2nd International Conference on Electrical Engineering and Informatics, ICon EEI 2018 - Batam, Indonesia
Duration: 16 Oct 201817 Oct 2018

Publication series

NameProceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018

Conference

Conference2nd International Conference on Electrical Engineering and Informatics, ICon EEI 2018
CountryIndonesia
CityBatam
Period16/10/1817/10/18

Fingerprint

Bayesian networks
Inference engines
Artificial intelligence
Experiments

Keywords

  • Bayesian network
  • Baznas pekanbaru
  • Mustahik
  • Zakat

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Akbarizan, Kurniawan, R., Ahmad Nazri, M. Z., Sheikh Abdullah, S. N. H., Murhayati, S., & Nurcahaya (2018). Using Bayesian network for determining the recipient of Zakat in BAZNAS Pekanbaru. In Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018 (pp. 12-17). [8784142] (Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICon-EEI.2018.8784142

Using Bayesian network for determining the recipient of Zakat in BAZNAS Pekanbaru. / Akbarizan; Kurniawan, Rahmad; Ahmad Nazri, Mohd Zakree; Sheikh Abdullah, Siti Norul Huda; Murhayati, Sri; Nurcahaya.

Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 12-17 8784142 (Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Akbarizan, Kurniawan, R, Ahmad Nazri, MZ, Sheikh Abdullah, SNH, Murhayati, S & Nurcahaya 2018, Using Bayesian network for determining the recipient of Zakat in BAZNAS Pekanbaru. in Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018., 8784142, Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 12-17, 2nd International Conference on Electrical Engineering and Informatics, ICon EEI 2018, Batam, Indonesia, 16/10/18. https://doi.org/10.1109/ICon-EEI.2018.8784142
Akbarizan, Kurniawan R, Ahmad Nazri MZ, Sheikh Abdullah SNH, Murhayati S, Nurcahaya. Using Bayesian network for determining the recipient of Zakat in BAZNAS Pekanbaru. In Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 12-17. 8784142. (Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018). https://doi.org/10.1109/ICon-EEI.2018.8784142
Akbarizan ; Kurniawan, Rahmad ; Ahmad Nazri, Mohd Zakree ; Sheikh Abdullah, Siti Norul Huda ; Murhayati, Sri ; Nurcahaya. / Using Bayesian network for determining the recipient of Zakat in BAZNAS Pekanbaru. Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 12-17 (Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018).
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