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Pelatihan Microsoft Office sebagai Upaya Peningkatan kemampuan dalam Kelompok DasawismaRT 10 RW 02 di Tanjung Barat Jagakarsa Jakarta Selatan Kristiningsih Kristiningsih; Pandhu Pramarta; Akbar Muchbarak
Jurnal Pengabdian Masyarakat Indonesia (JPMI) Vol. 1 No. 2 (2023): Desember
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jpmi.v1i2.175

Abstract

Pelatihan Microsoft Office di Kelompok Dasawisma RT 10 RW 02, Tanjung Barat Jagakarsa, Jakarta Selatan, bertujuan untuk meningkatkan keterampilan teknologi informasi anggota kelompok. Melalui metode evaluasi tes, proyek praktikum, dan presentasi, pelatihan berhasil mencapai tujuan dengan peserta menunjukkan peningkatan pemahaman dan penguasaan aplikasi Microsoft Word, Excel, dan PowerPoint. Observasi langsung mengindikasikan integrasi keterampilan dalam kegiatan sehari-hari, meningkatkan efisiensi administratif, dan memperkuat kolaborasi di antara anggota kelompok. Umpan balik positif dari peserta mencerminkan peningkatan kepercayaan diri dalam penggunaan Microsoft Office. Hasil pelatihan ini diharapkan memberikan kontribusi positif terhadap produktivitas dan kemandirian Kelompok Dasawisma dalam menghadapi tantangan teknologi informasi di era digital.
SISTEM PENDUKUNG KEPUTUSAN KARYAWAN TERBAIK MENGGUNAKAN METODE PROFILE MATCHING DI PT PRESTASI RETAIL INNOVATION Heykal Fauzan; Akbar Muchbarak; Ari Irawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 1 (2026): Januari 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i1.304

Abstract

The assessment of the best employees at PT Prestasi Retail Innovation has traditionally been conducted manually, which is considered inefficient and tends to be subjective. This study aims to design and develop a Decision Support System (DSS) based on Java using the Profile Matching method as a solution to enhance objectivity, efficiency, and transparency in the employee selection process. The system applies evaluation criteria and sub-criteria determined by the company, such as discipline, creativity, work ethic, attendance, and performance. The research methods include observation, documentation, and interviews to identify system requirements and assessment parameters. The system is developed using an object-oriented approach with the support of Unified Modeling Language (UML), implemented with the Java programming language, and integrated with a MySQL database. The Profile Matching method is applied through GAP analysis between employees’ actual profiles and the ideal profile, which is then processed into employee rankings. The results show that the system successfully automates the evaluation process, generates more objective recommendations, and supports decision-making related to promotions, rewards, and performance evaluation. The application of a DSS based on the Profile Matching method has proven to provide real benefits for management in human resource management.