PENGUKURAN KEMIRIPAN TUGAS POKOK DAN FUNGSI SEKRETARIAT DINAS PENDIDIKAN KOTA DI JAWA TIMUR MENGGUNAKAN AHP
DOI:
https://doi.org/10.30587/indexia.v5i02.6747Abstract
Permasalahan yang akan diatasi dalam penelitian ini adalah kebutuhan akan pengaturan standar tugas pokok dan fungsi (tupoksi) untuk sekretariat Dinas Pendidikan Kota di Jawa Timur. Metode penelitian melibatkan pengumpulan data tupoksi sekretariat dari berbagai kota, dilanjutkan dengan analisis semantik dilakukan menggunakan algoritma PATH dengan alat bantu WS4J. Penggunaan WS4J untuk menilai kesamaan nilai hanya terbatas pada hubungan antar kata-kata. Maka, penyesuaian dilakukan menggunakan metode Analytical Hierarchy Process (AHP) untuk menentukan nilai relatif atau bobot. Dalam AHP, terdapat dua faktor yang menjadi kriteria penentuan bobot, yaitu kategori kata benda dan kata kerja. Hasil akhir penelitian ini berupa common fragment tupoksi sekretariat dari berbagai Dinas Pendidikan Kota di Jawa Timur. Common fragment ini nantinya dapat digunakan sebagai dasar standar yang konsisten, yang akan membantu mengatasi berbagai permasalahan yang muncul akibat tupoksi tidak terstandarisasi.
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[2] F. Abdullah, “Measuring service quality in higher education: HEdPERF versus SERVPERF,” Mark. Intell. Plan., vol. 24, no. 1, pp. 31–47, Jan. 2006, doi: 10.1108/02634500610641543.
[3] F. Abdullah, “The development of HEdPERF: a new measuring instrument of service quality for the higher education sector,” Int. J. Consum. Stud., vol. 30, no. 6, pp. 569–581, Nov. 2006, doi: 10.1111/j.1470-6431.2005.00480.x.
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[6] J. Zhang and T. Qi, “Construction of Educational Resource Metadata Management Platform Based on Service-Oriented Architecture,” J. Sens., vol. 2022, pp. 1–10, Jun. 2022, doi: 10.1155/2022/2172817.
[7] M. A. Halwani, S. Y. Amirkiaee, N. Evangelopoulos, and V. Prybutok, “Job qualifications study for data science and big data professions,” Inf. Technol. People, vol. 35, no. 2, pp. 510–525, Mar. 2022, doi: 10.1108/ITP-04-2020-0201.
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[10] A. L. Paoletti, J. Martinez-Gil, and K.-D. Schewe, “Extending Knowledge-Based Profile Matching in the Human Resources Domain,” in Database and Expert Systems Applications, vol. 9262, Q. Chen, A. Hameurlain, F. Toumani, R. Wagner, and H. Decker, Eds., in Lecture Notes in Computer Science, vol. 9262. , Cham: Springer International Publishing, 2015, pp. 21–35. doi: 10.1007/978-3-319-22852-5_3.
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[24] T. Slimani, “Description and Evaluation of Semantic Similarity Measures Approaches,” Int. J. Comput. Appl., vol. 80, no. 10, pp. 25–33, Oct. 2013, doi: 10.5120/13897-1851.
[25] M. Farouk and Department of Thermotechnik Computer Science, Assiut University, Markaz El-Fath, Assiut Governorate 71515,Egypt;, “Measuring Sentences Similarity: A Survey,” Indian J. Sci. Technol., vol. 12, no. 25, pp. 1–11, Jul. 2019, doi: 10.17485/ijst/2019/v12i25/143977.
[26] X. Wen, “Chinese Sentence Semantic Matching With Multi-Granularity Based on Siamese Neural Network,” presented at the The 33rd International Conference on Software Engineering and Knowledge Engineering, Jul. 2021, pp. 586–591. doi: 10.18293/SEKE2021-074.
[27] Y. Yoo, T.-S. Heo, Y. Park, and K. Kim, “A Novel Hybrid Methodology of Measuring Sentence Similarity,” Symmetry, vol. 13, no. 8, p. 1442, Aug. 2021, doi: 10.3390/sym13081442.
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Published
2023-11-24
How to Cite
Syafiuddin, M. H., & Yaqin, M. A. (2023). PENGUKURAN KEMIRIPAN TUGAS POKOK DAN FUNGSI SEKRETARIAT DINAS PENDIDIKAN KOTA DI JAWA TIMUR MENGGUNAKAN AHP. Indexia, 5(02), 148–158. https://doi.org/10.30587/indexia.v5i02.6747
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