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All Journal Jumat Informatika: Jurnal Pengabdian Masyarakat Jurnal Komputer dan Elektro Sains
Nurul Agami
Politeknik Negeri Sriwijaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Other

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Manajemen Proyek Sistem Informasi Kesehatan Mental Mahasiswa berbasis Akun Tiktok @healing.campus Rio Anugrah; Najla Puteri Salsabila; Nurul Agami; Faresh Utomo; Vitha Anggraini; Aryo Wiranata; M Arief Rahman
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.
Pendampingan Digitalisasi Seleksi Tenaga Kerja Berbasis Metode SAW pada PT Qjob Saka Gemilang Nurul Agami; Leni Novianti; Nurlaili Rahmi
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 7 No. 2 (2026): Agustus
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/k4z3cw92

Abstract

PT Qjob Saka Gemilang is a workforce recruitment company specializing in supplying prospective Sales Executives to PT Indosat Ooredoo as its primary partner. The employee selection process at the company was previously conducted manually by the Human Resource Development (HRD) department without a systematic decision-support tool, making the process susceptible to subjective judgment and time-consuming. This community service program aimed to assist PT Qjob Saka Gemilang in adopting a web-based Decision Support System (DSS) implementing the Simple Additive Weighting (SAW) method to facilitate a more objective and efficient evaluation and ranking of job applicants. The program was carried out through several stages, including partner needs assessment, participatory system design involving HRD personnel, application development, and training and mentoring for HRD staff, administrators, and company management. Throughout the mentoring process, the partner demonstrated a significant improvement in its recruitment practices, shifting from manual record-keeping and subjective evaluation to the use of a digital system for determining evaluation criteria, assigning weights, and automatically generating applicant rankings. Functional testing confirmed that all application modules operated according to the system design specifications. The results indicate that mentoring in the implementation of a decision support system can effectively help small and medium-sized enterprises improve the objectivity and efficiency of employee selection processes while supporting sustainable technology adoption
Co-Authors Aryo Wiranata Faresh Utomo Leni Novianti M Arief Rahman Najla Puteri Salsabila Nurlaili Rahmi Rio Anugrah Vitha Anggraini