Fryda Fatmayati
Sekolah Tinggi Teknologi Kedirgantaraan

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MULTIPLE-CRITERIA DECISION ANALYSIS MENGGUNAKAN COMPOSITE PERFORMANCE INDEX PADA SISTEM PEMILIHAN IP CAMERA Murien Nugraheni; Fryda Fatmayati; Rini Nuraini; Mokhammad Hadi Prayitno
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 7 No 1 (2023)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v7i1.3153

Abstract

IP Camera is a camera used for monitoring and security with the ability to transmit images over a network connected to the internet protocol. To choose an IP camera, users must know product performance and specifications, so it takes time in the selection process. The purpose of this study is to apply the Multiple-Criteria Decision Analysis (MCDA) approach with the Composite Performance Index (CPI) method in determining the best IP camera. The CPI approach can obtain the best option by assessing the combined index and then sorting it from the highest to the lowest value. From the case studies that have been carried out, the best alternative is obtained, namely Dahuan IMOU Bullet 2C (A4) with a value of 145, then Xiaomi Security Camera 2K (A3) with a value of 140, Bardi Smart Outdoor Static IP Camera (A2) with a value of 130 and EZVIZ C6N (A1) with a value of 105. These results are the same as the output obtained on the built DSS, this means that the system calculation results can be said to be valid. Based on the evaluation results through black-box testing, it shows that all the functions of the existing features can work properly.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK MENGGUNAKAN METODE SAW PADA PT. PEGADAIAN Ikmah Ikmah; Almas Adlil Wafi; Ely Purnawati; Fryda Fatmayati
Information System Journal Vol. 6 No. 01 (2023): Information System Journal (INFOS)
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/infosjournal.2023v6i01.1239

Abstract

Pemilihan Karyawan pada PT. Pegadaian menggunakan cara konvensional yaitu penilaian dilakukan oleh KepalaCabang yang menilai karyawan menggunakan selembar form, sehingga proses penilaian tersebut sangat lamakarena diperlukan banyak form untuk menilai lebih dari satu karyawan. Berdasarkan permasalahan tersebut,penelitian ini dilakukan untuk memilih karyawan terbaik dengan membangun Sistem menggunakan metodeSimple Additive Weighting (SAW). Data kriteria yaitu Pelaksanaan 5R, Pelaksanaan Sharing dan E-learning,Pelaksanaan Morning Briefing masing-masing sebesar 5%; Pakaian, Kedisiplinan, Kerajinan, Kerjasama, Inisiatif,Ketrampilan Kerja, Product Knowledge masing-masing sebesar 15%; Perilaku sebesar 15%. Hasil dari penelitianini menunjukkan Sistem dapat merekomendasikan 3 karyawan terbaik dari 10 karyawan yang dinilai oleh PTPegadaian yaitu peringkat pertama untuk karyawan 4 nilai 0.9616, peringkat kedua untuk karyawan 10 nilai0.95269 dan peringkat ketiga untuk karyawan 8 nilainya 0.94917.