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All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Minfo Polgan (JMP) Jurnal Pengabdian Masyarakat Nusantara
Subhan Hafiz Nanda Ginting
Universitas Battuta
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Library & Information Science Mathematics Social Sciences Other

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Implementation of Decision Support System for New Employee Selection at PT Triotech Solution Indonesia using SAW Method Subhan Hafiz Nanda Ginting; Nurmala Sridewi
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13842

Abstract

The new employee selection process is one of the important activities in human resource management at PT Triotech Solution Indonesia. The selection of the right candidate determines the quality and performance of the company in the future. This research aims to develop and implement a Decision Support System (SPK) that can assist in the selection process of new employees using the Simple Additive Weighting (SAW) method. The SAW method was chosen because it is able to integrate various assessment criteria by giving appropriate weights to each criterion, resulting in a final ranking of candidates that best suits the company's needs. The system is built by collecting candidate data, which includes criteria such as education, work experience, technical skills, and soft skills. The weight for each criterion is determined based on the priorities set by the company management. After that, the SAW method is applied to calculate the total score of each candidate, which is then used to determine the priority order of the best candidates.
Sistem Pendukung Keputusan untuk Pemilihan Perangkat Internet of Things (IoT) Terbaik Menggunakan Simple Additive Weighting Muhammad Mirza Kirana Affandi; Subhan Hafiz Nanda Ginting
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.14344

Abstract

Pemilihan perangkat Internet of Things (IoT) yang tepat menjadi tantangan penting dalam mendukung implementasi teknologi yang optimal di berbagai sektor. Perangkat IoT memiliki beragam spesifikasi dan fitur yang memengaruhi kinerja, efisiensi, dan kompatibilitas dengan kebutuhan pengguna. Penelitian ini bertujuan mengembangkan Sistem Pendukung Keputusan (SPK) untuk menentukan perangkat IoT terbaik berdasarkan kriteria yang relevan, seperti harga, kualitas, efisiensi energi, dan kemampuan integrasi. Metode Simple Additive Weighting (SAW) digunakan dalam sistem ini karena kemampuannya untuk memberikan penilaian yang transparan dan terstruktur berdasarkan bobot setiap kriteria. Hasil penelitian menunjukkan bahwa penerapan metode SAW dalam SPK mampu memberikan rekomendasi perangkat IoT yang akurat dan sesuai dengan kebutuhan pengguna. Sistem ini diharapkan dapat membantu pengambil keputusan dalam memilih perangkat IoT secara objektif dan efisien, serta mendukung pengembangan ekosistem IoT yang lebih baik.
Co-Authors Dewi Wahyuni Dinur Syahputra Dinur Syahputra M. Rhifky Wayahdi Mayang Mughnyanti Muhammad Mirza Kirana Affandi Rutmian Mariama Rutmian Mariama Hutasoit ruziq, fahmi Sheila Try Thania Sridewi, Nurmala Surya Guntur