Analisis Faktor yang Mempengaruhi Lama Studi Mahasiswa dengan Metode SMARTER

Lenny Margaretta Huizen; Aria Hendrawan; Agusta Praba Ristiadi Pinem

doi:10.24246/aiti.v19i2.213-227

Authors

Lenny Margaretta Huizen Universitas Semarang
Aria Hendrawan Universitas Semarang
Agusta Praba Ristiadi Pinem Universitas Semarang

DOI:

https://doi.org/10.24246/aiti.v19i2.213-227

Keywords:

SMARTER, ROC, Graduation

Abstract

One of the criteria in the assessment of college accreditation is student graduation. Factors that affect the students' study period need to be analyzed. In this study, the SMARTER method was used to find these factors. Data were obtained from a questionnaire with 133 respondents. Validity and reliability tests were conducted to determine the validity of the test equipment. The test was carried out with a significance test of 0.05 for the validity test and a reliability test of 0.811, which means the reliability is very high. The data is processed by the SMARTER method. The SMARTER method is a settlement method where the weights are calculated using the Rank Order Centroid (ROC) weighting calculation for each criterion and sub-criteria. Actual data shows that the lecturer factor is the main factor that affects the students' study period, followed by student factors, facilities and infrastructure factors, and external factors. From the results of the SMARTER method, it is found that the element that most influences student graduation is the lecturer factor, with a utility value of 15.918. The second factor is the student factor, which has a utility value of 8.297, followed by the facilities and infrastructure factor of 4.425, and external factors of 1.312. From the results of the SMARTER method and actual data, it is found that the lecturer's guidance is a factor that significantly influences the students' study period.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Ban PT, ”Akreditasi Perguruan Tinggi Kriteria Panduan Pelaksanaan Pemantauan dan Evaluasi Peringkat Akreditasi”, 2020.

Y. Yulianingsih, “Manajemen Akreditasi Program Studi Pada Perguruan Tinggi”, Al-Idarah, vol. 5, no. 1, pp. 92-116, Juni. 2015. https:// 10.24042/alidarah.v5i1.756

M. Broto Legowo, dan Indiarto, B., “Model Sistem Penjaminan Mutu Berbasis Integrasi Standar Akreditasi BAN-PT dan ISO 9001:2008”, RESTI, vo. 1, no.2, pp 90-98, Agustus, 2017. https://doi.org/10.29207/resti.v1i2.51

E. Prassetiyo Rohmawan, “Prediksi Kelulusan Mahasiswa Tepat Waktu Menggunakan Metode Desicion Tree Dan Artificial Neural Network”, Jurnal Ilmiah Matrik, Vol 20, No. 1. 21-30. April, 2013.

I Nyoman A,J,P, dkk,” Identifikasi Faktor-Faktor yang Mempengaruhi Lama Masa Studi Mahasiswa di Fakultas Bahasa dan Seni Undiksha”, Seminar Nasional Riset Inovatif, 237-248, 2014.

S. Mohammadreza Miri Lavasani, Jin. W., Zaili. Y., Jamie., F. JLavasani, S.M.M., Wang, J., Yang, Z., Finlay, J., “Application of MADM in a fuzzy environment for selecting the best barrier for offshore wells”, Expert Syst Appl, Vol 36, No. 3, pp 2466–2478. Februari, 2012.https://doi.org/10.1016/j.eswa.2011.08.099

A. Mardani, Ahmad, J., Edmundas., K., Z, “Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014”., Expert Syst. Appl, Vol 42., No. 8, pp 4126–4148. 2015. https://doi.org/10.1016/j.eswa.2015.01.003

L. Perez., Luis., R., P., Alejandro., A., I., David., L., C., 8. Pérez-Domínguez, L., Rodríguez-Picón, L.A., Alvarado-Iniesta, A., Luviano Cruz, D., Xu, Z., “MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making”, Complexity, Vol. 2018, No. 5, pp.1–10, April 2018. https://doi.org/10.1155/2018/2602376

R., K., Mavi, Goh., M., Navid., Z, “Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic Industry”, Journal of Advanced Manufacturing Technology, Vol. 2017, No. 91, pp 2401-2418, Januari 2017. DOI 10.1007/s00170-016-9880-x

F. Schramm, dan Danielle C,M, “Decision Support Model For Selecting And Evaluating Suppliers In The Construction Industry”, Pesquisa Operacional, Vo. 32, No. (3), pp. 643-662.11. Desember 2012. https://doi.org/10.1590/S0101-74382012005000020

M. Danielson., dan Negotiation, “A Robustness Study of State of The Art Surrogate Weights For MCDM”, Springerlink. 26, pp. 677-691, Juli 2016. DOI 10.1007/s10726-016-9494-6

A., Saleh., “Penerapan Metode Simple Multi Attribute Rating Technique Exploiting Rank dalam Sistem Pendukung Keputusan Rekrutmen Asisten Laboratorium Komputer”, Masyarakat Telematika dan Informasi, Vol. 8, No. 1, pp 1-10, September 2017.

A. Rizkiyanto dan Indra G., A., “Implementasi Metode Simple Multy Attribute Rating Technique Exploiting Ranks (Smarter) Dan Forward Chaining Pada Penentuan Posisi Karyawan Baru PT. Langgeng Buana Jaya Gresik”, JNKTI., Vo. 2, No. 2, pp. pp 149-158, Oktober 2019. DOI: https://doi.org/10.32672/jnkti.v2i2.1565

Yunita, “Implementasi Metode Simple Multi-Attribute Rating Technique Exploiting Rank (Smarter) Pada Sistem Pendukung Keputusan Pemilihan Lokasi Perumahan”. Vol 4, pp 57-60. 2017

A., Setiawan., Ade., I., P., Dita., R., A., Ruri., R., S., S., W, “Menentukan Kelayakan Dokumen Pemohon Paspor Melalui Sistem Pendukung Keputusan Dengan Metode Smarter”, Vo. 10., No. 2, PP. 487-500, November 2019. DOI: 10.24176/simet.v10i2.3093

Alen., Tangkesalu dan Jatmiko E, S. A.T, “Information System of Performance Assesment on Startup Business using Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER)”, E3S Web of Conference.Vol. 73, pp.2-6. Desember 2018. https://doi.org/10.1051/e3sconf/20187313002