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Journal : JUITA : Jurnal Informatika

Performance Evaluation of Contract Employees Using the Best-Worst and Simple Additive Weighting Methods Rendra Gustriansyah; Juhaini Alie; Nazori Suhandi
JUITA : Jurnal Informatika JUITA Vol. 9 No. 2, November 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1506.27 KB) | DOI: 10.30595/juita.v9i2.11989

Abstract

All companies need qualified employees to ensure the continuity and progress of the company. Therefore, some companies are very selective in evaluating employee performance based on the criteria set by the company. However, because of the many criteria used in the assessment, a large number of contract employees to be evaluated, and the evaluation that must be proportional, the Human Resources department has difficulty evaluating the performance of contract employees. Therefore, this study aimed to develop a system for evaluating the performance of contract employees by integrating the Best-Worst (BW) and Simple Additive Weight (SAW) methods. The BW method is used to determine the weight of each criterion related to the performance appraisal of contract employees, and the SAW method is used to evaluate the performance of contract employees. The results showed that the system developed can provide a more proportional evaluation. So, this study contributes as a recommendation system for HR managers in determining eligible contract employees to have their work contracts extended based on criteria determined by the company.
DDoS Attacks Detection Method Using Feature Importance and Support Vector Machine Ahmad Sanmorino; Rendra Gustriansyah; Juhaini Alie
JUITA : Jurnal Informatika JUITA Vol. 10 No. 2, November 2022
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (861.248 KB) | DOI: 10.30595/juita.v10i2.14939

Abstract

In this study, the author wants to prove the combination of feature importance and support vector machine relevant to detecting distributed denial-of-service attacks. A distributed denial-of-service attack is a very dangerous type of attack because it causes enormous losses to the victim server. The study begins with determining network traffic features, followed by collecting datasets. The author uses 1000 randomly selected network traffic datasets for the purposes of feature selection and modeling. In the next stage, feature importance is used to select relevant features as modeling inputs based on support vector machine algorithms. The modeling results were evaluated using a confusion matrix table. Based on the evaluation using the confusion matrix, the score for the recall is 93 percent, precision is 95 percent, and accuracy is 92 percent. The author also compares the proposed method to several other methods. The comparison results show the performance of the proposed method is at a fairly good level in detecting distributed denial-of-service attacks. We realized this result was influenced by many factors, so further studies are needed in the future.
Co-Authors Ahmad Sanmorino Akbar , M. Alif Aldi, Muhammad Rahmad Ali, Marzuki Alsha, Muhammad Raffy Anugra Amrina Rosyada Anggi Prissilia Ardiansyah Sarman Ariati, Nining Aris Munandar Bekti Setiadi Callistasari, Nidia Putri Darma, Mgs. Prima Delvi Rahma Novianti Deninta, Dinda Dwi Dewi Agnesia Dwi Fury Maulina Dwi Utami, Della Edi Susanto Endah Dewi Purnamasari Fahlevie, Recja Fitriani Fitriani Ghina, Aliah Godlyfe Smarthene Ryck Hawai Hamid Halin HASANAH, Nabila Irawan Irawan Jefirstson Richset Riwu Kore Jefirstson Richset Riwukore Jefirstson Richset Riwukore John Roni Coyanda Jurlinda Jurlinda Krisman B Riwu Kore Lestari, Yeyen Linda Linda Luis Marnisah Luis Marnisah Luis Marnisah Riwukore M. Fadhil Ramadhan Nurbani M. Hafis Erlangga Manafe, Graendy Zimrat Marnisah, Luis Megat Norulazmi Megat Mohamed Noor Meilin Veronica Muhammad Haviz Irfani Muhammad Kurniawan DP Muhammad Muhardeny Nadinta Ardianty Nazori Suhandi Oscar, Jimmi Pratiwi , Imanda Ajeng Putra, Prima Darma Putri, Melia Sari Onika Rapiudinsyah, Ahmad raudatul jannah Rendra Gustriansyah Riwu Kore, Firda R Riwu Kore, Jefirstson R Romadlona, Ariatna Roswaty Roswaty Roswaty Rudi Heriansyah Russela, Russela Sabina, Veni Allya Sandys Vena Ade Putri Hattu Saputra, Muh Febrianto Ello Sartika, Dewi Saskia Maharani Septiana Septiana Shafiera Lazuarni Shinta Puspasari Siska Wulandari, Siska Siti Komariah Hildayanti Siti Komariah Hildayanti Siti Ulfa Ridayani Sofi Tamara Sukesih, Ade Ayu Suwirya Tjandra Syabitha, Fidya Nur Tabrani Tabrani Tampubolon, Miranda Roulina Tiara Yudianita Tien Yustin Tien Yustini Tien Yustini Tien Yustini Tien Yustini, Tien Tri Maradona Fajar Putra Tsabita, Putri Valentika, Chindhi Putri Veronica, Meilin Veronika, Meilin Wadud, Muhammad Wulanda, Sanza Vittria Yogi Darminto Yogie Ardiwinata, Yogie Yosef Ekliopas Ishak Rohi