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PERANCANGAN PERPUSTAKAAN GEMAR MEMBACA BERBASIS WEBSITE UNTUK DESA MEKARJAYA Alexander, Onki; Isnaini, Eva Nur; Maranti, Pinta; Bawiling, Hendry; Pryanto, Muhammad Bagus; Dimyati, Muhammad
Jurnal IMPACT: Implementation and Action Vol. 3 No. 2 (2021): Jurnal Impact
Publisher : Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/impact.v3i2.1119

Abstract

In the current era of globalization, the world of information is developing so rapidly because it is supported by increasingly sophisticated technological developments. A library is an important tool that can help teaching and learning activities. At this time, Mekarjaya Village does not have a library to support teaching and learning activities. This study aims to increase the reading interest of the Mekarjaya Village community and to design a website-based library to support teaching and learning activities in the village. In making this digital library, PHP is used as an application program and MySQL as a database server which has been summarized in one XAMPP application. The design of this library information system uses the waterfall method which consists of requirements analysis, design, implementation, testing, maintenance, and results analysis. With the existence of this website-based library information system, the community's interest in reading has increased, especially youths and girls in Mekarjaya Village.
PERANCANGAN PERPUSTAKAAN GEMAR MEMBACA BERBASIS WEBSITE UNTUK DESA MEKARJAYA Alexander, Onki; Isnaini, Eva Nur; Maranti, Pinta; Bawiling, Hendry; Pryanto, Muhammad Bagus; Dimyati, Muhammad
Jurnal IMPACT: Implementation and Action Vol. 3 No. 2 (2021): Jurnal Impact
Publisher : Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/impact.v3i2.1119

Abstract

In the current era of globalization, the world of information is developing so rapidly because it is supported by increasingly sophisticated technological developments. A library is an important tool that can help teaching and learning activities. At this time, Mekarjaya Village does not have a library to support teaching and learning activities. This study aims to increase the reading interest of the Mekarjaya Village community and to design a website-based library to support teaching and learning activities in the village. In making this digital library, PHP is used as an application program and MySQL as a database server which has been summarized in one XAMPP application. The design of this library information system uses the waterfall method which consists of requirements analysis, design, implementation, testing, maintenance, and results analysis. With the existence of this website-based library information system, the community's interest in reading has increased, especially youths and girls in Mekarjaya Village.
Pengolahan Data Menggunakan Algoritma Untuk Sistem Pendukung Keputusan Karyawan Terbaik Bawiling, Hendry; Saputra, Indra; Nasir, Alfian; Tundjungsari, Vitri
Jurnal Kajian Ilmiah Vol. 26 No. 1 (2026): Januari 2026
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/pesfvt11

Abstract

Identifying high-performing employees is a critical component of human resource management, as it directly influences organizational productivity, work climate, service quality, and strategic goal achievement. However, conventional employee performance assessments often rely on subjective managerial judgment, making them vulnerable to personal bias and inconsistencies that can lead to dissatisfaction, decreased morale, and internal conflict. To address these challenges, Decision Support Systems (DSS) that employ data-processing algorithms have been increasingly adopted to enhance objectivity and accuracy in employee evaluation. This study conducts a Systematic Literature Review (SLR) of 25 scholarly publications published between 2017 and 2025 and indexed in nationally and internationally recognized databases. The analysis focuses on the types of algorithms applied, system development methodologies, and their relevance to optimizing the identification of top-performing employees. The findings indicate that multi-criteria decision-making methods, particularly the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW), are the most frequently used algorithms, followed by TOPSIS, PROMETHEE, MABAC, ELECTRE, Weighted Product, SMART, and hybrid approaches. In terms of system development, several studies did not explicitly specify their methodology, while others adopted structured approaches such as the System Development Life Cycle (SDLC) and Waterfall models. This review highlights methodological trends, identifies research gaps, and proposes potential directions for future studies on algorithm-based DSS applications in employee performance evaluation