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All Journal Journal Information System Development Yayasan Cita Cendikiawan Al Khwarizmi Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi
Rudolfo Rizki Damanik
Universitas Pelita Harapan
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Journal : Journal Information System Development

 1 
IMPLEMENTASI METODE ANALYTIC HIERARCHY PROCESS UNTUK PEMILIHAN SAHAM TERBAIK BERBASIS WEBSITE Rudolfo Rizki Damanik; Leonardy Khanady
Journal Information System Development (ISD) Vol 6 No 2 (2021): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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

Abstract

Jumlah  investor  saham  semakin meningkat  dari  dulu  hingga  saat  ini. Begitu juga dengan jumlah perusahaan yang tercatat di Bursa Efek Indonesia (BEI). Yang  dimana  membuat  investor  bingung  untuk  memilih  saham  yang  terbaik  dari ratusan saham yang diperdagangkan di BEI. Metode    yang    digunakan    untuk    pemilihan    saham    terbaik    yaitu menggunakan   metode Analytic   Hierarchy   Process (AHP).   Investor   akan memasukkan penilaian terhadap perbandingan antar kriteria dan antar alternatif tiap kriteria. Kriteria–kriteria yang digunakan untuk pemilihan saham adalah Price to Earnings Ratio(PER), Price to Book Value (PBV), Debt to Equity Ratio (DER), Return on Equity (ROE), Return on Assets (ROA). Pada penelitian ini, peneliti merancang suatu sistem pendukung keputusan berbasis  web  yang  dimana  membantu  investor  dalam  menentukan  saham  terbaik yang sesuai dengan penilaianya sendiri dengan pendekatan metode AHP
IMPLEMENTASI METODE SAW TERHADAP PEMILIHAN KARYAWAN TERBAIK Rimmar Siringoringo; Romindo Romindo; Rudolfo Rizki Damanik
Journal Information System Development (ISD) Vol 8 No 1 (2023): Journal Information System Development
Publisher : UNIVERSITAS PELITA HARAPAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/isd.v8i1.589

Abstract

The best and qualified employees will make the company increase in its operations and can grow rapidly. But the constraints that exist in the CV. Maju Jaya Award for the best employee is still not optimal in its implementation. Therefore we need a system that can assist companies in evaluating the best employees optimally. Decision making to determine the best employee can be done by the company by assessing the performance that has been carried out by its employees at CV. Maju Jaya is influenced by several criteria, namely Knowledge, Discipline, Responsibility, Attendance, Teamwork. This decision support system uses the Simple Additive Weighting (SAW) method where the decision-making process can be calculated based on the calculation of the weight of each criterion, so that the best employees in the company can be selected quickly.
Co-Authors Alfonsius Daniel Cassa Augustinus, Daniel Cassa Ferawaty Ginting, Sryani Br Leonardy Khanady Lila Maria Kaban Poltak Sinaga Rimmar Siringoringo Robin Robin Romindo Romindo