Analysis K-Means Clustering to Predicting Student Graduation
M Wati, WH Rahmah, N Novirasari… - Journal of Physics …, 2021 - iopscience.iop.org
The prediction of students' graduation outcomes has been an important field for higher
education institutions because it provides planning for them to develop and expand any …
education institutions because it provides planning for them to develop and expand any …
On the Impact of Weighting Schemes on Alternatives' Evaluation
Performance evaluation is ubiquitous nowadays. A fundamental approach to assessing
alternatives (eg, students, employees, universities, countries) involves weighting criteria to …
alternatives (eg, students, employees, universities, countries) involves weighting criteria to …
Normalized Data Technique Performance for Covid-19 Social Assistance Decision Making-case: student's internet data social assistance during learning from home …
The student internet data assistance program is an effort by educational institutions to
support online learning from home during the Covid-19 pandemic. A series of tests are …
support online learning from home during the Covid-19 pandemic. A series of tests are …
[PDF][PDF] Importance-weighted Ranking Methods for Preference the Covid-19 Pandemic Social Assistance
E Budiman - International Journal of Engineering and Advanced …, 2020 - researchgate.net
Issues importance-weighted value is a critical aspect of decision making. Differences in
weight, even the slightest change in weight assignment, can drastically change the final …
weight, even the slightest change in weight assignment, can drastically change the final …
Implementation of SVM kernels for identifying irregularities usage of smart electric voucher
Statistical methods and machine learning have been widely used to identify deviations in the
use of electrical energy for prepaid services. The paper applies the Support Vector Machine …
use of electrical energy for prepaid services. The paper applies the Support Vector Machine …
Increasing Accuracy of Ensemble Logistics Regression Classifier by Estimating the Newton Raphson Parameter in Credit Scoring
The large volume of customer data in the credit the industry makes the development of an
effective credit scoring model extremely important. The use of an ensemble model on …
effective credit scoring model extremely important. The use of an ensemble model on …
Comparison SAW, TOPSIS and MOORA to evaluation socio-economic welfare
Indonesia is a develo** country with the main problems, namely poverty, and one of the
problems faced by each province. The government continues to strive to overcome this …
problems faced by each province. The government continues to strive to overcome this …
Determination of Superior Rice Varieties Using ROC-SMART
The selection of superior rice varieties that are adaptive to environmental conditions and in
accordance with the preferences of farmers and consumer society is aimed at increasing …
accordance with the preferences of farmers and consumer society is aimed at increasing …
Model Algoritma K-Nearest Neighbor Dalam Menganalisis Kinerja Akademik Mahasiswa Teknik Informatika Universitas Mulawarman
Analisa kinerja akademik pada Program Studi Teknik Informatika, Fakultas Ilmu Komputer
dan Teknologi Informasi (FKTI), Universitas Mulawarman sangat diperlukan. Analisa kinerja …
dan Teknologi Informasi (FKTI), Universitas Mulawarman sangat diperlukan. Analisa kinerja …
[PDF][PDF] Penentuan Prioritas Kesejahteraan Keluarga Menggunakan Metode the Extended Promethee II
M Wati, FM Lubis, A Tejawati - ILKOM Jurnal Ilmiah, 2020 - academia.edu
Indonesia merupakan negara berkembang dimana masalah kemiskinan menjadi salah satu
permasalahan yang dihadapi oleh setiap provinsi. Pemerintah terus berupaya untuk …
permasalahan yang dihadapi oleh setiap provinsi. Pemerintah terus berupaya untuk …