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All Journal Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Bisantara Informatika
Putra, Khairil
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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An IoT Design Effectiveness and Reliability of Electric Power Circuit Breakers Aryza, Solly; Lubis, Zulkarnain; Putra, Khairil
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20908

Abstract

Along with the very rapid development of technology in the current era of globalization. It became3The main instrument in the progress of various social and life aspects. Currently, many people use technology to help solve several problems in life. Almost every activity carried out by humans always uses technology. The use of automated security instruments has become an option nowadays. In modern times like now there are many kinds of technology, and therefore I will develop technology with better security instruments.
ANALISIS BUSINESS INTELEGENSI PENGARUH KECERDASAN EMOSIONAL TERHADAP KINERJA KARYAWAN ALGORITMA REGRESI LINIER Sitorus, Zulham; Syahputri, Maulisa; Nainggolan, Andreas Ghanneson; Sibarani, Dina Marsauli; Nahampun, Natalia; Putra, Khairil
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1215

Abstract

Prima Indonesia University is a leading private university in the city of Medan, operating in the education sector which applies Business Intelligence to its management system. This research was conducted using the Linear Regression Algorithm to measure the influence of Emotional Intelligence on Employee Performance at Prima Indonesia University, totaling 212 data. The data used in this research is employee performance history data for the last 5 years. Next, the Linear Regression Algorithm is applied to the processed dataset. The research results will later show that the Linear Regression Algorithm is able to produce quite accurate measurements. The results of this research can show how much emotional intelligence influences an employee's performance. Thus, the Linear Regression Algorithm can be a solution in evaluating the influence of Emotional Intelligence on Employee Performance, and can provide long-term recommendations for increasing the productivity of Employee Performance at Prima Indonesia University.
Analisis IT Governance Rumah Sakit Dalam Memprediksi Kepuasan Pasien Menggunakan Perbandingan Algoritma Random Forest Dan Linear Regression Putera Utama Siahaan, Andysah; Ghanneson Nainggolan, Andreas; Putra, Khairil; Nahampun, Natalia; Marsauli Sibarani, Dina
Jurnal Bisantara Informatika Vol. 9 No. 2 (2025): Jurnal Bisantara Informatika (JBI) Vol. 9 No. 2 Tahun 2025
Publisher : Akademi Manajemen Informatika dan Komputer PARBINA NUSANTARA Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tata kelola TI (IT Governance) merupakan bagian yang sangat terkait dengan persusahaan. IT Governance berkaitan dengan bagaimana manajemen memperoleh keyakinan bahwa Sistem Informasi dan organisasi dapat memberikan value bagi perusaaan. Rumah sakit merupakan sebuah perusahaan yang bergerak di bidang kesehatan, telah memulai menerapkan tata kelola teknologi informasi (IT Governance) melalui manajemen layanan, secara umum proses menentukan kepuasan pasien masih didominasi cara kerja manual. Hal ini menimbulkan akurasi informasi, dan kecepatan pengambilan keputusan dalam memprediksi kepuasan pasien tidak efesien. Sehingga dapat disimpulkan bahwa untuk melakukan prediksi lebih lanjut menggunakan analisa prediksi menggunakan perbandingan algoritma random fores dan linear regression, Hasil dari perbandingan tersbut menunjukan bahwa algoritma random forest memiliki tingkat akurasi yang paling tinggi dengan nilai 9.922 dari pada linear regression 9.811.
Co-Authors Andysah Putera Utama Siahaan Ghanneson Nainggolan, Andreas Marsauli Sibarani, Dina Nahampun, Natalia Nainggolan, Andreas Ghanneson Sibarani, Dina Marsauli Sitorus, Zulham Syahputri, Maulisa Zulkarnain Lubis