Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Y Yanti, A Saepulrohman

Judul : Segmentation and Positioning of Lecturers in the Department of Computer Science at Pakuan University Based on Student Assessment

Abstrak :
Determining the segmentation and positioning of the lecturers in selecting the thesis supervisor is very important to do. It is because, with this information, the supervision process in thesis writing can run well. This study intends to analyze the segmentation and positioning of lecturers related to determine the thesis supervisor using the Clusterwise Bilinear Spatial Multidimensional Scaling Model (CBSMSM) method. The data used is survey data for fifth-semester bachelor students of the 2019/2020 academic year of the Department of Computer Science, Pakuan University. One hundred sixty-one student observations provide an assessment of 10 attributes regarding the characteristics of 32 lecturers of the department. Furthermore, the estimation of the segment coordinate parameters, lecturer coordinates, dimensions, and attributes simultaneously uses the alternating least square (ALS) algorithm. The number of segments and dimensions are selected based on the smallest sum square error (SSE) value for combining segments and other dimensions. As a result, we get four segments and four dimensions with an SSE value of 4864.003. Furthermore, the department can use this result to illustrate student assessments of their lecturers' characteristics regarding thesis supervision.

Tahun : 2021 Media Publikasi : Jurnal Nasional Terakreditasi B

Kategori : Jurnal No/Vol/Tahun : 1 / 5 / 2021

ISSN/ISBN : 2599-08-2

PTN/S : Universitas Pakuan Program Studi : ILMU KOMPUTER

Bibliography :
DeSarbo WS, Grewal R, Scott CJ. 2008. A Clusterwise Bilinear Multidimensional Scaling Methodology for Simultaneous Segmentation and Positioning Analysis. Journal of Marketing Research. 45 (June): 280-292.

Mukti, TH dkk. 2018. Sistem Pemilihan Dosen Pembimbing Skripsi dengan Metode Topsis . Jurnal Ilmiah Flash. Vol 4 No. 1(53-63)

Septiana,Ian,dkk. 2016. Sistem Pendukung Keputusan Penentu Dosen Penguji dan Pembimbing Tugas Akhir Menggunakan Fuzzy Multiple Attribute Decision Making Dengan Simple Additive Weighting. JOIN. Vol 1(June). ISSN: 2527-9165

Yaqin, Ainul,dkk. 2014. Sistem Pendukung Keputusan Dosen Pembimbing dengan Metode Logika Fuzzy. Seminar Informatika 2014

Yanti, Yusma. 2014. Simultaneous Analysis Of The Lecturers Positioning And Students Segmentation In The Selection Of Thesis Supervisor. Proc. ICCS-13, Bogor, Indonesia December 18-21, 2014, Vol. 27, pp. 311-318

URL : https://www.stat.ipb.ac.id/journals/index.php/ijsa/article/view/727

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Detail Karya Ilmiah Dosen

Y Yanti, A Saepulrohman

Judul	:	Segmentation and Positioning of Lecturers in the Department of Computer Science at Pakuan University Based on Student Assessment
Abstrak	:	Determining the segmentation and positioning of the lecturers in selecting the thesis supervisor is very important to do. It is because, with this information, the supervision process in thesis writing can run well. This study intends to analyze the segmentation and positioning of lecturers related to determine the thesis supervisor using the Clusterwise Bilinear Spatial Multidimensional Scaling Model (CBSMSM) method. The data used is survey data for fifth-semester bachelor students of the 2019/2020 academic year of the Department of Computer Science, Pakuan University. One hundred sixty-one student observations provide an assessment of 10 attributes regarding the characteristics of 32 lecturers of the department. Furthermore, the estimation of the segment coordinate parameters, lecturer coordinates, dimensions, and attributes simultaneously uses the alternating least square (ALS) algorithm. The number of segments and dimensions are selected based on the smallest sum square error (SSE) value for combining segments and other dimensions. As a result, we get four segments and four dimensions with an SSE value of 4864.003. Furthermore, the department can use this result to illustrate student assessments of their lecturers' characteristics regarding thesis supervision.
Tahun	:	2021	Media Publikasi	:	Jurnal Nasional Terakreditasi B
Kategori	:	Jurnal	No/Vol/Tahun	:	1 / 5 / 2021
ISSN/ISBN	:	2599-08-2
PTN/S	:	Universitas Pakuan	Program Studi	:	ILMU KOMPUTER
Bibliography	:	DeSarbo WS, Grewal R, Scott CJ. 2008. A Clusterwise Bilinear Multidimensional Scaling Methodology for Simultaneous Segmentation and Positioning Analysis. Journal of Marketing Research. 45 (June): 280-292. Mukti, TH dkk. 2018. Sistem Pemilihan Dosen Pembimbing Skripsi dengan Metode Topsis . Jurnal Ilmiah Flash. Vol 4 No. 1(53-63) Septiana,Ian,dkk. 2016. Sistem Pendukung Keputusan Penentu Dosen Penguji dan Pembimbing Tugas Akhir Menggunakan Fuzzy Multiple Attribute Decision Making Dengan Simple Additive Weighting. JOIN. Vol 1(June). ISSN: 2527-9165 Yaqin, Ainul,dkk. 2014. Sistem Pendukung Keputusan Dosen Pembimbing dengan Metode Logika Fuzzy. Seminar Informatika 2014 Yanti, Yusma. 2014. Simultaneous Analysis Of The Lecturers Positioning And Students Segmentation In The Selection Of Thesis Supervisor. Proc. ICCS-13, Bogor, Indonesia December 18-21, 2014, Vol. 27, pp. 311-318
URL	:	https://www.stat.ipb.ac.id/journals/index.php/ijsa/article/view/727