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Manajemen Proyek Sistem Informasi Kesehatan Mental Mahasiswa berbasis Akun Tiktok @healing.campus Anugrah, Rio; Puteri Salsabila, Najla; Agami, Nurul; Utomo, Faresh; Anggraini, Vitha; Wiranata, Aryo; Rahman, M Arief
Jurnal Komputer dan Elektro Sains Vol. 2 No. 1 (2024): Komets
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/komets.v2i1.191

Abstract

Project Management for Mental Health Information System among Students Based on TikTok Accounts (Healing.Campus) is an initiative aimed at providing an alternative solution to assist students in dealing with mental health issues. Mental health is a crucial aspect of general well-being, yet issues related to mental health among students remain constrained and limited. This research employs a qualitative research method and data analysis techniques as a theoretical study. Qualitative research methods are used due to literature indicating constraints and limitations in using TikTok as a platform for developing students' mental health. Data analysis techniques, as part of the theoretical study, are utilized to determine whether the hypotheses formulated in the literature review are accurate. The research findings demonstrate that the TikTok-based information system, Healing.Campus, for mental health has achieved satisfactory outcomes, reflecting a significant positive impact on its audience. The Healing.Campus TikTok account has been able to contribute positively to students' mental health. Motivational video content has successfully created a supportive and empathetic atmosphere, provided practical solutions, and reduced stigma associated with mental health issues. It has successfully attained positive and significant outcomes in aiding students in addressing mental health concerns. This TikTok account proves its effectiveness in creating a supportive and empathetic atmosphere, offering practical solutions, and reducing the stigma associated with mental health problems. The existence of this mental health information system is expected to provide motivation and encouragement to students facing difficulties.
Aplikasi Seleksi Tenaga Kerja PT Qjob Saka Gemilang untuk Penyaluran ke PT Indosat dengan Metode SAW Agami, Nurul; Novianti, Leni; Rahmi, Nurlaili
Jurnal Sistem Informasi (JASISFO) Vol. 6 No. 2 (2025): September
Publisher : Politeknik Negeri Sriwijaya

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

Abstract

Penelitian ini berfokus pada pembuatan sistem pendukung keputusan untuk membantu proses seleksi penyaluran calon tenaga kerja khususnya Sales Executive oleh PT Qjob Saka Gemilang ke PT Indosat Ooredoo. Saat ini, proses pemilihan kandidat terbaik masih dilakukan secara manual, sehingga membutuhkan waktu lama, berisiko terjadi penilaian yang tidak objektif, dan kurang efektif dalam memilih kandidat terbaik. Oleh karena itu, digunakan metode Simple Additive Weighting (SAW) karena kemamampuannya memberikan hasil penilaian yang lebih objektif berdasarkan beberapa kriteria seperti pendidikan, pengalaman kerja, usia, dan performa wawancara. Tujuan dari sistem ini adalah untuk mempercepat proses seleksi, meningkatkan ketepatan dalam penilaian, dan membantu perusahaan dalam merekomendasikan kandidat terbaik sesuai dengan kebutuhan mitra. Sistem ini dikembangkan berbasis web dengan menggunakan metode Waterfall. sistem akan diuji dengan data simulasi untuk meminimalkan kesalahan sebelum implementasi.