Sistem Pendukung Keputusan dalam menentukan Guru Teladan menggunakan Metode Composite Performance

Authors

  • Sri Hidayanti Program Studi Sistem Informasi, Universitas Royal
  • Neni Mulyani Program Studi Sistem Informasi, Universitas Royal
  • Andrew Ramadhani Program Studi Sistem Komputer, Universitas Royal

DOI:

https://doi.org/10.29408/edumatic.v8i2.27292

Keywords:

composite performance index, decision support system, exemplary teacher

Abstract

The development of technology has had a significant impact on various aspects of human life, including education. Yayasan Mas Bustaanul Uluum, a high school, faces challenges in selecting exemplary teachers objectively and accurately. The process of selecting exemplary teachers has so far been subjective, with assessments based on attendance and years of service. This research aims to develop a decision support system (DSS) by applying the web-based Composite Performance Index (CPI) method. The system is built using the waterfall model, which consists of analysis, design, implementation, and testing. Data collection was conducted through observation and interviews. The aspects used to measure exemplary teachers include attendance, teaching experience, highest education level, and achievements. The data processed using the CPI method is used to determine exemplary teachers. Furthermore, the system built was tested using black box testing on each system component. Our findings resulted in a DSS integrated with the CPI method for determining exemplary teachers. The calculations within the system are also consistent with the manual calculations using the CPI method. Additionally, the system operates smoothly without errors. Therefore, this system can assist Yayasan Mas Bustaanul Uluum in selecting exemplary teachers in an objective manner.

References

Alshamrani, O. S., & Alshibani, A. (2020). Automated decision support system for selecting the envelope and structural systems for educational facilities. Building and Environment, 181, 106993. https://doi.org/10.1016/j.buildenv.2020.106993

Antoniadi, A. M., Du, Y., Guendouz, Y., Wei, L., Mazo, C., Becker, B. A., & Mooney, C. (2021). Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review. Applied Sciences, 11(11), 5088. https://doi.org/10.3390/app11115088

Fransiska, R., Siagian, Y., & Rohminatin, R. (2024). Sistem Pendukung Keputusan menggunakan Metode Topsis untuk Seleksi Guru Terbaik. Edumatic: Jurnal Pendidikan Informatika, 8(1), 232–241. https://doi.org/10.29408/edumatic.v8i1.25747

Grimaldi, M., Sebillo, M., Vitiello, G., & Pellecchia, V. (2020). Planning and managing the integrated water system: a spatial decision support system to analyze the infrastructure performances. Sustainability, 12(16), 6432. https://doi.org/10.3390/su12166432

Gusti, S., Hambali, H., & Azmi, S. R. M. (2022). Weighted Product sebagai Metode Pendukung Keputusan untuk Menentukan Kualitas Kinerja Guru. Edumatic: Jurnal Pendidikan Informatika, 6(2), 195–204. https://doi.org/10.29408/edumatic.v6i2.6296

Hidayat, R., Irmayanti, A., & Tommy, M. (2020). Implementasi Multi Factor Evaluation Process untuk Penentuan Tempat Pembuangan Akhir Berbasis Web Aplication. Edumatic: Jurnal Pendidikan Informatika, 4(2), 103–111. https://doi.org/10.29408/edumatic.v4i2.2635

Kumar, T. S. (2020). Data mining based marketing decision support system using hybrid machine learning algorithm. Journal of Artificial Intelligence, 2(03), 185–193. https://doi.org/10.36548/jaicn.2020.3.007

Loa, A., Daniawan, B., Tugiman, T., & Basri, A. (2020). Comparing SAW and CPI Method in Decisions Systems Support to Evaluate Teachers Performance. Bit-Tech, 2(3), 121–130. https://doi.org/10.32877/bt.v2i3.141

Marcelino, S. M., Gaspar, P. D., Paço, A., Lima, T. M., Monteiro, A., Franco, J. C., Santos, E. S., Campos, R., & Lopes, C. M. (2024). Decision Support System for the Assessment and Enhancement of Agrobiodiversity Performance. Sustainability, 16(15), 6519. https://doi.org/10.3390/su16156519

Nimri, R., Battelino, T., Laffel, L. M., Slover, R. H., Schatz, D., Weinzimer, S. A., Dovc, K., Danne, T., & Phillip, M. (2020). Insulin dose optimization using an automated artificial intelligence-based decision support system in youths with type 1 diabetes. Nature Medicine, 26(9), 1380–1384. https://doi.org/10.1038/s41591-020-1045-7

Nugraheni, M., Fatmayati, F., Nuraini, R., & Prayitno, M. H. (2023). Multiple-Criteria Decision Analysis Menggunakan Composite Performance Index Pada Sistem Pemilihan IP Camera. JOISIE (Journal Of Information Systems And Informatics Engineering), 7(1), 44–54.

Purba, C. W., Sihombing, E., Nahampun, C., Sitompul, C., Simanullang, C., & Cibro, D. (2023). Tanggung Jawab Guru Pak Secara Profesional Terhadap Pengelolaan Kelas Dalam Proses Pembelajaran. Jurnal Pendidikan Sosial Dan Humaniora, 2(2), 980–993.

Rahmadani, A., Maharani, D., & Sahren, S. (2022). Simple Additive Weighting sebagai Metode Pendukung Keputusan terhadap Sistem Customer Satisfaction. Edumatic: Jurnal Pendidikan Informatika, 6(2), 296–305. https://doi.org/10.29408/edumatic.v6i2.6374

Rumandan, R. J. (2022). Implementasi Composite Performance Index (CPI) Pada Sistem Pendukung Keputusan Pemilihan Mitra Pengiriman Barang. KLIK: Kajian Ilmiah Informatika Dan Komputer, 3(1), 17–25.

Sari, P. N., Ramdhan, W., & Syahputra, A. K. (2023). Aplikasi Pendukung Keputusan dalam Mengukur Tingkat Kepuasan Pelayanan Publik menggunakan Metode MFEP. Edumatic: Jurnal Pendidikan Informatika, 7(1), 59–68. https://doi.org/10.29408/edumatic.v7i1.12448

Satria, B., Sidauruk, A., Wardhana, R., Al Akbar, A., & Ihsan, M. A. (2022). Penerapan Composite Performance Index (CPI) Sebagai Metode Pada Sistem Pendukung Keputusan Seleksi Penerima Beasiswa. The Indonesian Journal of Computer Science, 11(2), 566-576. https://doi.org/10.33022/ijcs.v11i2.3056

Sipahutar, Z., Nadeak, B., & Ramadhani, P. (2021). Penerapan Metode Composite Performance Index (CPI) Dalam Penerima Bantuan Kelompok Usaha Bersama (KUBE). Jurnal Sistem Komputer Dan Informatika (JSON), 2(3), 255–260. https://doi.org/10.30865/json.v2i3.2627

Soares, T. G., Rusliyawati, R., Trianto, J., & Widyawati, A. C. (2024). Combination of Composite Performance Index and Rank Order Centroid Methods for Selecting Financial Applications. KLIK: Kajian Ilmiah Informatika Dan Komputer, 4(6), 3108–3117.

Sudrajat, A., Mulyani, N., & Marpaung, N. (2022). Sistem Pendukung Keputusan Penentuan Kelayakan Penangguhan Kredit Nasabah menggunakan Naïve Bayes. Edumatic: Jurnal Pendidikan Informatika, 6(2), 205–214. https://doi.org/10.29408/edumatic.v6i2.6298

Taufiq, R., & Hardono, J. (2020). Decision support of system performance appraisal of education services using servqual and analytical hierarchy process method. Journal of Physics: Conference Series, 1477(3), 32022. https://doi.org/10.1088/1742-6596/1477/3/032022

Velasco, R. B., Carpanese, I., Interian, R., Paulo Neto, O. C. G., & Ribeiro, C. C. (2021). A decision support system for fraud detection in public procurement. International Transactions in Operational Research, 28(1), 27–47. https://doi.org/10.1111/itor.12811

Wulandari, A., & Fakhriza, M. (2024). Composite Performance Index in Decision Making for Social Assistance. Sinkron: Jurnal Dan Penelitian Teknik Informatika, 8(3), 1770–1782. https://doi.org/10.33395/sinkron.v8i3.13906

Wuryani, E., Rodlib, A., Sutarsib, S., Dewib, N., & Arifb, D. (2021). Analysis of decision support system on situational leadership styles on work motivation and employee performance. Management Science Letters, 11(2), 365–372. https://doi.org/10.5267/j.msl.2020.9.033

Zhai, Z., Martínez, J. F., Beltran, V., & Martínez, N. L. (2020). Decision support systems for agriculture 4.0: Survey and challenges. Computers and Electronics in Agriculture, 170, 105256. https://doi.org/10.1016/j.compag.2020.105256

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Published

2024-12-19