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All Journal Populer: Jurnal Penelitian Mahasiswa Informatics
Linus Evrianus Ama Kean
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Sistem Pendukung Keputusan Pemberian Tunjangan Karyawan Menggunakan Metode Analytical Hierarchy Process (AHP): Studi Kasus: TVRI Nusa Tenggara Timur Yoman Berchmans; Linus Evrianus Ama Kean; Reynaldo Behar; Yampi R. Kaesmetan
Populer: Jurnal Penelitian Mahasiswa Vol. 3 No. 1 (2024): Maret : Jurnal Penelitian Mahasiswa
Publisher : Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/populer.v3i1.1638

Abstract

This research aims to address the issues surrounding the allocation of employee benefits at TVRI Nusa Tenggara Timur. Currently, the decision-making process for benefits is solely based on recommendations from supervisors, without taking into consideration employee performance, potentially leading to social jealousy and suboptimal outcomes. In this study, we develop a Decision Support System (DSS) utilizing the Analytical Hierarchy Process (AHP) method to assess employee performance. AHP allows for a hierarchical and objective breakdown of multi-factor problems. The criteria used for evaluation include attendance, behavior, length of service, and dependents. It is expected that the implementation of this DSS will enhance transparency and objectivity in decision-making, minimize employee dissatisfaction, and provide a more robust basis for benefit allocation decisions. This research offers practical contributions to human resource management and decision-making at TVRI Nusa Tenggara Timur.
Perbandingan Metode Exponential Smoothing dan Moving Average dalam Peramalan Hasil Tangkapan Ikan Linus Evrianus Ama Kean; Yohanes Berchmans Lowak Ndari
Informatics Vol. 1 No. 01 (2025): January
Publisher : Armari Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63215/Informatics.v1i1.15

Abstract

Berdasarkan data Badan Pusat Statistik NTT tahun 2017, kontribusi subsektor perikanan terdadap Produk Domestik Regional Bruto (PDRB) cenderung meningkat sekitar 30%. Adapun jenis ikan yang menjadi hasil tangkapan unggulan di NTT yaitu tuna, kerapu dan cakalang. Dalam mengoptimalkan potensi hasil tangkapan ikan unggulan tersebut membutuhkan kajian ilmu seperti analisis yang valid dan terpercaya yang digunakan untuk melakukan peramalan (forecasting)  di masa yang akan datang. Penelitian ini menganalisis data hasil tangkapan ikan di kota Kupang dengan menggunakan metode Exponential Smoothing dan Moving Average. Metode Exponential Smoothing dilakukan dengan simulasi konstanta pemulusan sedangkan metode Moving Average akan menghitung rata-rata bergerak dengan periode dua tahunan. Hasil yang diharapkan dari penelitian ini ialah mendapatkan model peramalan terbaik dari data hasil tangkapan tiga jenis ikan unggulan NTT dengan melihat nilai akurasi MAD, MSE dan MAPE.
Co-Authors Kaesmetan, Yampi R Reynaldo Behar Yohanes Berchmans Lowak Ndari Yoman Berchmans