Optimalisasi Layanan Konsultasi Fiqih Mawaris Berbasis Chatbot dengan Pendekatan Rule-Based

Penulis

DOI:

https://doi.org/10.15575/telka.v11n3.284-292

Kata Kunci:

Fiqih, Mawaris, Rule-based, chatbot

Abstrak

Ilmu fara'id merupakan cabang ilmu yang membahas pembagian harta warisan berdasarkan syariat Islam. Allah telah menetapkan aturan pembagian kekayaan yang harus diikuti sesuai dengan ajaran agama. Proses pembagian warisan melibatkan identifikasi harta peninggalan dan ahli waris, serta meliputi tahapan seperti menentukan bagian (furudh), asal masalah, dan menghitung siham. Namun, proses ini kerap menjadi tantangan bagi umat Islam awam yang tidak memiliki pemahaman mendalam tentang ilmu fara'id. Penelitian ini bertujuan untuk mengoptimalkan layanan konsultasi fiqh warisan berbasis chatbot. Metode yang digunakan adalah pendekatan Rule-Based untuk menyederhanakan dan mengatasi kompleksitas pembagian warisan. Hasil pengujian menunjukkan bahwa prototipe chatbot ini mampu menangani skenario ahli waris suami, istri, anak perempuan, dan anak laki-laki. Dalam pengujian, sistem menggunakan 18 aturan dan 30 data uji, menghasilkan tingkat akurasi sebesar 93%. Hasil ini menunjukkan bahwa pendekatan berbasis aturan pada sistem konsultasi fiqh mawaris ini cukup efektif dan dapat menjadi solusi praktis bagi masyarakat.

 

The science of fara'id focuses on the distribution of inheritance based on Islamic law. Allah has prescribed rules for wealth distribution that must be followed in accordance with religious teachings. The inheritance division process involves identifying the estate and heirs, as well as stages such as determining shares (furudh), the origin of the problem, and calculating siham. However, this process often poses challenges for lay Muslims who lack a deep understanding of fara'id. This study aims to optimize Islamic inheritance consultation services using a chatbot-based system. The method employed is a Rule-Based approach to simplify and address the complexities of inheritance distribution. Experimental results indicate that the chatbot prototype successfully processes scenarios involving heirs such as the husband, wife, daughter, and son. The system was tested with 18 rules and 30 test cases, achieving an accuracy rate of 93%. These findings suggest that the Rule-Based approach implemented in this fara'id consultation system is effective and offers a practical solution for the community.

Referensi

K. D. Bissadu, S. Sonko, and G. Hossain, “Society 5.0 enabled agriculture: Drivers, enabling technologies, architectures, opportunities, and challenges,” Information Processing in Agriculture, Apr. 2024, doi: 10.1016/J.INPA.2024.04.003.

M. Piccarozzi, L. Silvestri, C. Silvestri, and A. Ruggieri, “Roadmap to Industry 5.0: Enabling technologies, challenges, and opportunities towards a holistic definition in management studies,” Technol Forecast Soc Change, vol. 205, p. 123467, Aug. 2024, doi: 10.1016/J.TECHFORE.2024.123467.

T. Ramadhan, “Peningkatan Hasil Belajar Mawaris Melalui Pembelajaran Kooperatif Tipe Jigsaw,” DAYAH: Journal of Islamic Education, vol. 2, no. 2, pp. 230–250, Sep. 2019, doi: 10.22373/JIE.V2I2.4183.

D. P. Putri, “Peran dan Kontribusi Ilmuwan Muslim dalam Pembelajaran Matematika,” ARITHMETIC: Academic Journal of Math, vol. 1, no. 1, pp. 63–82, May 2019, doi: 10.29240/JA.V1I1.822.

M. Bahrah, “Urgensi Ilmu Mawaris dan Hukum Penerapannya dalam Praktik Kewarisan Islam,” Ulumuddin: Jurnal Ilmu-ilmu Keislaman, vol. 12, no. 1, pp. 79–94, Feb. 2022, doi: 10.47200/ULUMUDDIN.V12I1.1060.

S. M. Harahap and R. Ritonga, “Metode Penyelesaian Kasus Waris Islam: Analisis dan Aplikatif,” Al-Mizan (e-Journal), vol. 18, no. 1, pp. 77–98, Jun. 2022, doi: 10.30603/AM.V18I1.2223.

G. Attigeri, A. Agrawal, and S. V. Kolekar, “Advanced NLP Models for Technical University Information Chatbots: Development and Comparative Analysis,” IEEE Access, vol. 12, pp. 29633–29647, 2024, doi: 10.1109/ACCESS.2024.3368382.

A. Alsharhan, M. Al-Emran, and K. Shaalan, “Chatbot Adoption: A Multiperspective Systematic Review and Future Research Agenda,” IEEE Trans Eng Manag, 2023, doi: 10.1109/TEM.2023.3298360.

A. Abdellatif, K. Badran, D. E. Costa, and E. Shihab, “A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering,” IEEE Transactions on Software Engineering, vol. 48, no. 8, pp. 3087–3102, Aug. 2022, doi: 10.1109/TSE.2021.3078384.

R. Ren, M. Zapata, J. W. Castro, O. Dieste, and S. T. Acuna, “Experimentation for Chatbot Usability Evaluation: A Secondary Study,” IEEE Access, vol. 10, pp. 12430–12464, 2022, doi: 10.1109/ACCESS.2022.3145323.

L. Medeiros, T. Bosse, and C. Gerritsen, “Can a Chatbot Comfort Humans? Studying the Impact of a Supportive Chatbot on Users’ Self-Perceived Stress,” IEEE Trans Hum Mach Syst, vol. 52, no. 3, pp. 343–353, Jun. 2022, doi: 10.1109/THMS.2021.3113643.

S. P. Warusawithana, N. N. Perera, R. L. Weerasinghe, T. M. Hindakaraldeniya, and G. U. Ganegoda, “Layout Aware Resume Parsing Using NLP and Rule-based Techniques,” Proceedings of ICITR 2023 - 8th International Conference on Information Technology Research: The Next Evolution in Digital Transformation, 2023, doi: 10.1109/ICITR61062.2023.10382773.

J. Doshi, “Chatbot User Interface for Customer Relationship Management using NLP models,” Proceedings - 2021 1st IEEE International Conference on Artificial Intelligence and Machine Vision, AIMV 2021, 2021, doi: 10.1109/AIMV53313.2021.9670914.

S. Liu, H. Tao, and S. Feng, “Text Classification Research Based on Bert Model and Bayesian Network,” Proceedings - 2019 Chinese Automation Congress, CAC 2019, pp. 5842–5846, Nov. 2019, doi: 10.1109/CAC48633.2019.8996183.

B. Yu, C. Deng, and L. Bu, “Policy Text Classification Algorithm Based on Bert,” Proceedings - 2022 11th International Conference of Information and Communication Technology, ICTech 2022, pp. 488–491, 2022, doi: 10.1109/ICTECH55460.2022.00103.

L. de Silva and S. Ahangama, “Singlish to Sinhala Transliteration using Rule-based Approach,” 2021 IEEE 16th International Conference on Industrial and Information Systems, ICIIS 2021 - Proceedings, pp. 162–167, 2021, doi: 10.1109/ICIIS53135.2021.9660744.

A. Anggraini, E. M. Kusumaningtyas, A. R. Barakbah, and M. T. Fiddin Al Islami, “Indonesian conjunction rule based sentiment analysis for service complaint regional water utility company surabaya,” IES 2020 - International Electronics Symposium: The Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 541–548, Sep. 2020, doi: 10.1109/IES50839.2020.9231772.

M. D. Drovo, M. Chowdhury, S. I. Uday, and A. K. Das, “Named Entity Recognition in Bengali Text Using Merged Hidden Markov Model and Rule Base Approach,” 2019 7th International Conference on Smart Computing and Communications, ICSCC 2019, Jun. 2019, doi: 10.1109/ICSCC.2019.8843661.

M. S. Hossain, H. Sinha, and R. Mustafa, “A Belief Rule based expert system to control traffic signals under uncertainty,” 1st International Conference on Computer and Information Engineering, ICCIE 2015, pp. 83–86, Feb. 2016, doi: 10.1109/CCIE.2015.7399323.

H. Elmunsyah, W. N. Hidayat, S. Purnomo, and W. S. Pratama, “Functional Credit Score Application Using Rule-Based System for Vocational School Teachers,” Proceedings - International Conference on Education and Technology, ICET, pp. 164–168, 2023, doi: 10.1109/ICET59790.2023.10435284.

D. Zhu, B. Chen, X. Chen, Y. Ning, S. Yang, and G. Li, “Emergency Automatic Dispatching Method for EHV Transmission Network Based on a Rule Base and Wolf Swarm Algorithm,” 2023 3rd International Conference on Energy, Power and Electrical Engineering, EPEE 2023, pp. 592–595, 2023, doi: 10.1109/EPEE59859.2023.10351928.

N. Li, H. Cao, L. Jia, L. Wang, P. Yang, and F. Yu, “A rule-based expert system fusing the neural network for the blood drainage of hemodialysis,” Proceedings of the 33rd Chinese Control Conference, CCC 2014, pp. 4989–4992, Sep. 2014, doi: 10.1109/CHICC.2014.6895786.

T. Nurjanah, “Model-Model Pembelajaran Ilmu Fara’idh,” Jurnal Penelitian Pendidikan Islam, vol. 7, no. 2, p. 225, Nov. 2019, doi: 10.36667/JPPI.V7I2.365.

M. H. Calp and R. Bütüner, “Society 5.0: Effective technology for a smart society,” Artificial Intelligence and Industry 4.0, vol. 1–2, pp. 175–194, Jan. 2022, doi: 10.1016/B978-0-323-88468-6.00006-1.

P. K. R. Maddikunta et al., “Industry 5.0: A survey on enabling technologies and potential applications,” J Ind Inf Integr, vol. 26, p. 100257, Mar. 2022, doi: 10.1016/J.JII.2021.100257.

E. Valette, H. Bril El-Haouzi, and G. Demesure, “Industry 5.0 and its technologies: A systematic literature review upon the human place into IoT- and CPS-based industrial systems,” Comput Ind Eng, vol. 184, p. 109426, Oct. 2023, doi: 10.1016/J.CIE.2023.109426.

Unduhan

Diterbitkan

25-11-2025

Cara Mengutip

Irfan, M., Lustinasari, K., & Zulfikar, W. B. (2025). Optimalisasi Layanan Konsultasi Fiqih Mawaris Berbasis Chatbot dengan Pendekatan Rule-Based. TELKA - Telekomunikasi Elektronika Komputasi Dan Kontrol, 11(3), 284–292. https://doi.org/10.15575/telka.v11n3.284-292

Terbitan

Bagian

Articles

Artikel Serupa

1 2 3 4 5 6 > >> 

Anda juga bisa Mulai pencarian similarity tingkat lanjut untuk artikel ini.