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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Sebatik J-SAKTI (Jurnal Sains Komputer dan Informatika) TEPIAN J-SAKTI (Jurnal Sains Komputer dan Informatika) Informatika Wicida

Harianto, Kusno

STMIK Widya Cipta Dharma

Author-ID : 802189

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy

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Perbandingan Algoritma ELM Dan Backpropagation Terhadap Prestasi Akademik Mahasiswa Heny Pratiwi; Kusno Harianto
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Extreme Learning Machine and Backpropagation Algorithms are used in this study to find out which algorithm is most suitable for knowing student academic achievement. The data about students are explored to get a pattern so that the characteristics of new students can be known every year. The evaluation process of this study uses confusion matrix for the introduction of correctly recognized data and unknown data. Comparison of this algorithm uses student data at the beginning of the lecture as early detection of students who have problems with academics to be anticipated. The variables used are the value of the entrance examination for new students, the first grade IP value, Gender, and Working Status, while the output variable is the quality value as a classification of academic performance. The results of this study state that the Extreme Learning Machine algorithm has a 14.84% error rate lower than Backpropagation 28.20%. From the model testing stage, the most accurate result is the Extreme Learning Machine algorithm because it has the highest accuracy and the lowest error rate.

Sistem Monitoring Lulusan Perguruan Tinggi Dalam Memasuki Dunia Kerja Menggunakan Tracer Study Kusno Harianto; Heny Pratiwi; Yonatan Suhariyadi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

This research is titled Monitoring System of Higher Education Graduates in Entering the World of Work Using Tracer Study. The problem raised in this study is that the BKK (Bursa Kerja Khusus) STMIK Widya Cipta Dharma Samarinda get information about the performance of STMIK graduate students Widya Cipta Dharma, analyze graduate data to obtain the relevance of the competency of STMIK graduates Widya Cipta Dharma Samarinda, change the old system into a system that new. The purpose of this research is to provide information and reports on the results of tracer study data collection from alumni of STMIK Widya Cipta Dharma Samarinda. Data collection methods used are literature study, field studies. The system development method used is the waterfall method. Informatic System of Alumnus Record Tracer Study Based Website of STMIK Widya Cipta Dharma Samarinda is a computer-based system that was built with the aim of processing the alumnus search to find out the description of the profile, performance, and distribution of work location of the alumnus. Informatic System of Alumnus Record Tracer Study Based Website of STMIK Widya Cipta Dharma Samarinda is expected to help assist the BKK (Bursa Kerja Khusus) in recording alumnus and record the track record of alumnus scattered in serveral areas.

Co-Authors Ahmad Rofiq Hakim Awang H. Kridalaksana Azahari Azahari Bonifasius Candra Dhanny Rindya Pradifta Eddy Kurniawan Saputra Ekawati Yulsilviana Farhan Aufa Azhar Hadi Wiyarno Heny Pratiwi Inka Sandy Taruna Ita Arfyanti M. Irwan Ukkas Irwan Ukkas Ukkas Mega Jiana Muh. Husain Nooor Hidayat Reza Andrea Yonatan Suhariyadi

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