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All Journal Jurnal Pengabdian Masyarakat IPTEK Bulletin of Information Technology (BIT) Jurnal Nasional Teknologi Komputer Management of Information System Journal
Novida Sari, Sri
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Computer Science & IT Control & Systems Engineering

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Penerapan Metode Multi-Objective Optimization On The Basis Of Ratio Analysis Dalam Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Klinik Kecantikan Yohana br Ginting, Dewi; Rahmi Danur, Surizar; Putro Utomo, Dito; Feby Ronauli Lubis, Eka; Novida Sari, Sri; Rizqi Dwikunti Siregar, Dini
Bulletin of Information Technology (BIT) Vol 5 No 3: September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i3.1408

Abstract

The research conducted is to conduct an employee performance assessment process at a Beauty Clinic. The employee performance assessment process at a Beauty Clinic is carried out to provide awards to qualified employees at the Beauty Clinic. This study applies a Decision Support System (DSS) which is used as a system that can process employee performance assessments at the Beauty Clinic. In the employee performance assessment process at the Beauty Clinic, there are 6 criteria, namely Service Orientation, Integrity, Responsibility, Initiative, Discipline and Attendance. Thus, a system is needed that can make decisions, namely DSS by implementing the MOORA method to obtain preference values ​​from employee performance assessments at the Beauty Clinic, there is the best alternative in alternative A5 with a preference value of 0.37472
PEMANFAATAN KERANGKA KERJA INVESTIGASI FORENSIK JARINGAN UNTUK IDENTIFIKASI SERANGAN JARINGAN MENGGUNAKAN SISTEM DETEKSI INTRUSI (IDS) Khaliq, Abdul; Novida Sari, Sri
Jurnal Nasional Teknologi Komputer Vol 2 No 3 (2022): Volume 2 Nomor 3 Juli 2022
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v2i3.52

Abstract

One of the media to secure computers is to apply Intrusion Detection System (IDS) technology. IDS is an early detection system in the event of a computer network attack. The IDS will alert the computer network administrator in the event of a computer network attack. IDS also records all attempts and activities aimed at disrupting computer networks and other computer network attacks. The purpose of this study is to implement IDS on network systems and analyze IDS logs to determine the types and types of computer network attacks. Logs on the IDS will be analyzed in depth to be used as an effort to improve computer network security. The research method that will be used is applied research. The research was carried out using the Network Forensic Investigation Framework proposed by Pilli, Joshi and Niyogi. The stages of the Network Forensic Investigation Framework are used to perform network simulations, analysis and investigations to determine the types of computer network attacks. The results show that the Network Forensic Investigation Framework facilitates the investigation process when a network attack occurs. The Network Forensic Investigation Framework is effectively used when the computer network has network security support applications such as IDS or others. IDS is effective in detecting network scanning activities and DOS attacks. IDS provides alerts to administrators because there are activities that violate the rules on the IDS.
Dampak Penerapan Digitalisasi Penggunaan Aplikasi Canva di SMK Swasta Delisha Kecamatan Hamparan Perak Pranata, Ardianto; Try Utari, Cut; Maulidya Afifa, Rizky; Novida Sari, Sri; Riki Atsauri, Muhammad
Jurnal Pengabdian Masyarakat IPTEK Vol. 6 No. 1 (2026): Edisi Januari 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/abdi.v6i1.12357

Abstract

Digitalisasi menyebar hampir disetiap sektor masyarakat, tidak terkecuali di lingkungan sekolah. Sebagai salah satu sektor dasar pengembangan ilmu pengetahuan, lingkungan sekolah wajib memberikan pengetahuan terkait konsep digitalisasi dan teknologi informasi yang semakin berkembang. Tidak hanya sekedar definisi namun juga manfaat dan sarana pendukung yang melengkapi konsep digitalisasi. Salah satu aplikasi yang saat ini cukup digemari adalah aplikasi canva. Aplikasi ini cukup fleksibel dengan mengusung penggunaan berbasis web dan mobile yang dapat digunakan dimanapun dan kapanpun. Dengan memanfaatkan kondisi tersebut maka dilakukanlah sebuah aktivitas pengabdian kepada masyarakat dalam hal ini di lingkungan sekolah SMK Swasta Delisha di Kecamatan Hamparan Perak. Dimana pengabdian mencakup kegiatan sosialisasi, penerapan keilmuan hingga evaluasi dampak yang dihasilkan. Sosialisasi dilakukan dengan menyampaikan berbagai keilmuan terkait teknologi informasi, penggunaan canva hingga manfaat yang akan diperoleh. Penerapan langsung keilmuan melalui implementasi dibidang iklan dan promosi digital. Sera evaluasi yang dilakukan dengan memperhatikan tingkat penggunaan aplikasi yang telah diajarkan. Dan dari hasil evaluasi yang telah dilakukan, penggunaan canva yang cukup ringan bagi siswa, memberikan daya tarik dan manfaat pengetahuan yang sangat baik.
Algoritma Data Mining Menggunakan Metode Decision Tree Untuk Memprediksi Pola Penjualan Produk Springbed Mengggunakan Algoritma C4.5 Sanjaya, Donny; Saleh, Amir; Novida Sari, Sri; Rahmi Danur, Surizar
Management of Information System Journal Vol 4 No 2: Maret 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i2.2567

Abstract

Problems that often occur in the world of spring bed sales business are frequent ups and downs in predictions, the difficulty of detecting patterns in what can increase sales from buyers makes spring bed sales business people often experience losses, this also happens because business people don't know the strategy. Certainly in increasing sales, it is necessary to make predictions with a high level of accuracy, one of which is with the help of the application of computer science data mining using the C4.5 method. The C4.5 method used in this research is able to produce an optimal decision tree, with the ability to sort out the most relevant attributes in predicting springbed sales. The use of this data mining algorithm is expected to provide insight to springbed business players in making strategic decisions, such as stock management, production planning and more effective marketing campaigns. The experimental steps in this research include collecting springbed sales data. Experimental results show that the Decision Tree algorithm using the C4.5 method is able to provide spring bed sales predictions with an adequate level of accuracy. This model can help Springbed sales business players in planning more appropriate business strategies based on estimated market demand to increase the ups and downs of sales
Co-Authors Abdul Khaliq Amir Saleh Dito Putro Utomo Feby Ronauli Lubis, Eka Maulidya Afifa, Rizky Pranata, Ardianto Rahmi Danur, Surizar Riki Atsauri, Muhammad Rizqi Dwikunti Siregar, Dini Sanjaya, Donny Try Utari, Cut Yohana Br Ginting, Dewi