Expert System in Identifying Promotions for Civil Servants Using the Backward Chaining Method
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Abstract
Promotion can be interpreted as an element in enforcing the career of Civil Servants (PNS). The promotion to the rank of Civil Servants (PNS) is in the form of an award for work achievements that have been achieved and service to the country after fulfilling certain conditions. At this time there are still many Civil Servants (PNS) who do not understand employee governance such as this promotion and there are still many who do not know what are the completeness of promotions and do not know whether a Civil Servant (PNS) can be promoted. or not. This study aims to make Civil Servants (PNS) know whether it is proven or not to be able to be promoted based on certain conditions that must be met for promotion. The data processed in this study were directly directed by experts. The data is sourced from the staffing of the Regional Office of the Ministry of Religion of West Sumatra Province. The promotion data is processed and developed using an expert system built using PHP programming and MySQL database. In the Expert System in identifying the promotion of Civil Servants using the Backward Chaining method, the appropriate and suitable results are obtained between the expert data and the tracking results. 5 matches were obtained from the tracking results with 5 expert data whose percentage reached 100%, so whether or not a Civil Servant could be promoted to rank could be identified. It is hoped that the application that has been built in this research can be useful for Civil Servants (PNS) in identifying promotions, and to provide information about promotions.
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[2] Aldiansyah, R. Y. (2020). Sistem Pakar Diagnosa Penyakit Demam Berdarah Dengue Menggunakan Metode Backward Chaining Berbasis Android. Ubiquitous: Computers and its Applications Journal, 3(1), 27-34. https://doi.org/10.51804/ucaiaj.v3i1.27-34
[3] Rubiati, N., Kurniawan, R., Elisawati, & Wahyuni, S. (2020). Sistem Pendukung Keputusan Pengusulan Kenaikan Pangkat Berbasis Web pada Kantor Camat Sungai Sembilan. INFORMATIK A(Jurnal Informatika, Manajemen dan Komputer, 12(2), 33-42. https://doi.org/10.5220/0010299209820989
[4] Sakharov, A. (2021). A Best-first Backward-chaining Search Strategy based on Learned Predicate Representations. Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2, 982-989. https://doi.org/10.5220/0010299209820989
[5] Sapri, & Khairil. (2019). Sistem Pakar Penanganan Kasus Sengketa Tanah Menggunakan Metode Backward Chaining. Jurnal Teknik, 17(2), 113-124. https://doi.org/10.37031/jt.v17i2.28
[6] Rubio, E. K., Pichardo, D., & Borrero, C. S. (2018). Using Backward Chaining and A Physical Guidance Delay to Teach Self Feeding. Behavioral Interventions, 33(1), 87-92. https://doi.org/10.1002/bin.1504
[7] Shi, H., Chong, D., & Yan, G. (2018). Evaluating an optimized backward chaining ontology reasoning system with innovative custom rules. Information Discovery and Delivery, 46(1), 45-56. https://doi.org/10.1108/idd-10-2017-0070
[8] Romadoni, I., Afiana, F. N., & Yunita. (2020). Aplikasi “Si Tubo” untuk Mendeteksi Dini Gejala Tuberkulosis pada Anak dengan Metode Backward Chaining. Matrik : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, 1-10. https://doi.org/10.30812/matrik.v20i1.679
[9] Kobylarz, A. M., DeBar, R. M., Reeve, K. F., & Meyer, L. S. (2020). Evaluating backward chaining methods on vocational tasks by adults with developmental disabilities. Behavioral Interventions, 35(2), 263-280. https://doi.org/10.1002/bin.1713
[10] Leonhardt, R., Becker, C., Grob, M., & Mikolalzak, A. (2020). Impact of the backward chaining method on physical and psychological outcome measures in older adults at risk of falling: a systematic review. Aging Clinical and Experimental Research, 32(6), 985-997. https://doi.org/10.1007/s40520-019-01459-1
[11] Darmayunata, Y. (2018). Sistem Pakar Berbasis Web Menggunakan Metode Backward Chaining Untuk Menentukan Nutrisi yang Tepat Bagi Ibu Hamil. Intecoms: Journal of Information Technology and Computer Science, 1(2), 231-239. https://doi.org/10.31539/intecoms.v1i2.302
[12] Herliana, A., Setiawan, V. A., & Prasetio, R. T. (2018). Penerapan Inferensi Backward Chaining Pada Sistem Pakar Diagnosa Awal Penyakit Tulang. JURNAL INFORMATIKA, 5(1), 50-60. https://doi.org/10.31311/ji.v5i1.2818
[13] Pratama, A. G., Rizky, R., Yunita, A. M., & Wardah, N. N. (2020). Implementasi Metode Backward Chaining untuk Diagnosa Kerusakan Motor Matic. Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika), 11(2), 91-96. https://doi.org/10.36448/jsit.v11i2.1515
[14] Sari, E. P., Maria, E., & Franz, A. (2019). istem Pakar Bimbingan dan Konseling Terhadap Perilaku Siswa Menggunakan Metode Backward Chaining Berbasis Web. Buletin Poltanesa, 20(1), 11-19. https://doi.org/10.51967/tanesa.v20i1.313
[15] Latubessy, A., & Wijayanti, E. (2017). Model Identifikasi Kecanduan Game Menggunakan Backward Chaining. Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 8(1), 9-14. https://doi.org/10.24176/simet.v8i1.807
[16] Siregar, R. (2018). Sistem Pakar Analisa Kerusakan pada Sepeda Motor Honda Beat Injection dengan Metode Backward Chaining. PETIR, 11(1), 1-8. https://doi.org/10.33322/petir.v11i1.1
[17] Nurmaesah, N., Tullah, R., & Cahandi, C. (2020). Sistem Pakar Diagnosa Terjadinya Waste Plastik Berbasis Web dengan Metode Backward Chaining. JURNAL SISFOTEK GLOBAL, 10(1). https://doi.org/10.38101/sisfotek.v10i1.281
[18] Wiyandra, Y., & Yenila, F. (2019). Sistem Pakar Deteksi Apendisicitis. KomtekInfo, 5(3), 81-91. https://doi.org/10.29165/komtekinfo.v5i3.185
[19] Mulyani, E. D., Uryani, N. S., & Putri, F. V. (2017). Aplikasi Pakar Diagnosa Anak Berkebutuhan Khusus Dengan Metode Backward Chaining (Study Kasus : TK Plus As-Salam Kec. Kawalu KotaTasikmalaya). Techno.Com, 16(3), 300-314. https://doi.org/10.33633/tc.v16i3.1406
[20] Kholil, M. I., & Nurcahyo, G. W. (2021). Sistem Pakar Menggunakan Metode Backward Chaining dalam Mengidentifikasi Kandungan Senyawa Boraks, Formalin, Rhodamin B dan Metanil Yellow pada Makanan. Jurnal Sistem Informasi dan Teknologi(3), 34-40. https://doi.org/10.37034/jsisfotek.v3i1.115