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All Journal Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Ekonomi dan Binsis
Yunarsi, Yunarsi
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Sosialisasi Penggunaan Aplikasi Bank Jurnal dan Prosiding Program Studi D4 Manajemen Pemasaran Internasional Sudarman, La; Lelawatty, Poniasih; Husriah, Husriah; Yunarsi, Yunarsi; Rahma, Filasti; Sari, Murni; Sudarnice, Sudarnice; Ekowati, Dhiana
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 6, No 2 (2025)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v6i2.5996

Abstract

Perpustakaan merupakan jantung bagi para akademisi, hal tersebut menjadi harapan dan membantu para mahasiswa dalam mencari dan menambah referensi guna menyelesaikan skripsi atau tugas akhir. Perkembangan teknologi informasi dan komunikasi (TIK) yang terus berkembang pesat membawa perubahan besar dalam berbagai aspek termasuk perpustakaan itu sendiri. Masih banyak mahasiswa khususnya mahasiswa Program Studi D4 Manajemen Pemasaran Internasional di Politeknik Baubau yang masih kesulitan mengakses artikel sebagai literatur tugas akhir mereka, maka tim pengabdi mencoba merancang suatu aplikasi berupa bank jurnal dan prosiding untuk mempermudah mendapatkan literature yang diinginkan mahasiswa. Adapun sumber artikel pada bank jurnal ini berasal dari sinta, prosiding dan scopus. Tujuan kegiatan ini untuk memberikan pengetahuan tentang pengoperasian aplikasi bank jurnal dan prosiding kepada mahasiswa khuhusnya pada Program Studi D4 Manajemen Pemasaran Internasional Politeknik Baubau. Kegiatan dilaksanakan mulai dari 22 Juli sampai 5 September 2024, mitra sasaran sebanyak 41 orang mahasiswa dan dosen. Metode pelaksanaan kegiatan pengabdian ini antara lain: analisis kebutuhan, perancangan aplikasi, uji coba aplikasi serta pelaksanaan kegiatan dan evaluasi kegiatan. Hasil yang dicapai setelah kegiatan ini adalah semua peserta mampu mengoperasikan dan mengaplikasikan aplikasi bank jurnal dan prosiding. Hal tersebut dilihat dari hasil tes pemahaman awal yang mulanya semua belum memahami  pengoperasian bank jurnal dan prosiding (0%) naik menjadi 100% pengetahuannnya setelah diadakan kegiatan pkm terkait penerapan aplikasi bank jurnal dan prosiding
Analisis Pemanfaatan Artifical Intelligence terhadap Lingkungan Kerja Dimediasi Beban Kerja Djaya, Eka Sumandary; Yusuf, Ruliati Yusuf; Yunarsi, Yunarsi
Jurnal Ekonomi & Bisnis Vol 4 No 1 (2025): Jurnal Ekonomi dan Bisnis
Publisher : Politeknik Baubau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57151/jeko.v4i1.1042

Abstract

Artificial Intelligence (AI) is one of the rapidly evolving technological innovations that supports employee work efficiency across various industrial sectors. PT. Harta Samudra, a fisheries company located in Maluku Province, has begun adopting AI technology in its operations to manage high workloads and enhance productivity. This study aims to analyze the impact of AI utilization on the work environment and employee workload, as well as to examine the mediating role of the work environment in strengthening the relationship between AI utilization and workload. The study involved the entire population of PT. Harta Samudra’s employees, totaling 100 individuals, selected using a saturated sampling technique. A quantitative research design was applied, with data collected through a closed-ended Likert scale questionnaire. Data analysis was conducted using Partial Least Squares (PLS) with the assistance of SmartPLS version 3.3.8 software. The results indicate that AI utilization has a positive and significant effect on the work environment and both directly and indirectly influences employee workload. The work environment was proven to be a mediating variable that strengthens the relationship between AI utilization and workload. The Adjusted R Square value shows that 66.1% of the variation in workload can be explained by AI utilization and work environment conditions, while the remaining 33.9% is influenced by other factors not examined in this study. This research is expected to contribute to other fisheries companies in formulating AI-based technology adoption strategies to simultaneously improve operational efficiency and employee well-being.
Co-Authors Dhiana Ekowati Djaya, Eka Sumandary Husriah La Sudarman MURNI SARI Poniasih Lelawatty Rahma, Filasti Sudarnice, Sudarnice Yusuf, Ruliati Yusuf