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All Journal Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Journal Global Technology Computer
Latif, Muhammad Azka
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Religion Humanities Computer Science & IT Control & Systems Engineering Education Engineering Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences

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Implementasi Enterprise Resource Planning Berbasis Odoo untuk Meningkatkan Efisiensi Operasional Menggunakan Analisis Deskriptif Komparatif Salma, Aulia Happy; Latif, Muhammad Azka; Afriza, Mohammad Maulana; Rizqiyanto, Nanda Lutfi; Supriyono, Supriyono
Journal Global Technology Computer Vol 5 No 1 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jogtc.v5i1.8982

Abstract

The rapid advancement of information technology requires companies, including Micro, Small, and Medium Enterprises (MSMEs), to manage their business processes in an integrated manner to enhance operational efficiency, improve data processing accuracy, and enhance the quality of managerial decision-making. The utilisation of integrated information systems has become a crucial factor in supporting the sustainability and competitiveness of MSMEs amid an increasingly complex business environment. CV Anak Rimba, a manufacturing company engaged in the production of processed food products, continues to face various operational challenges, particularly due to the implementation of manual and fragmented data recording systems across departments. These conditions result in inaccuracies in calculating the Cost of Goods Manufactured (COGM), inconsistencies in raw material and finished goods inventory data, and delays in the preparation of financial reports required by management. Therefore, this study aims to implement an Enterprise Resource Planning (ERP) system based on Odoo as a solution to integrate production processes, inventory management, and financial recording in a unified system. The research method employed is a case study with a comparative descriptive analysis approach, utilising system simulation with dummy data. The configured modules include Manufacturing, Inventory, Purchase, Sales, and Accounting. The results indicate that the implementation of an Odoo-based ERP is able to automate transaction recording, calculate COGM in real-time, synchronise inventory data, and generate accurate and timely financial reports. Thus, the implementation of an Odoo-based ERP system is proven to be effective in improving operational efficiency and data transparency at CV Anak Rimba.
Penerapan Sistem Informasi Perikanan Berbasis Website sebagai Digitalisasi Data Keperikanan Kabupaten Kudus Latif, Muhammad Azka; Utomo, Andy Prasetyo
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 6 No. 3 (2026): Mei 2026 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v6i3.1166

Abstract

Pengelolaan data perikanan pada Bidang Perikanan Dinas Pertanian dan Pangan Kabupaten Kudus masih dilakukan secara manual sehingga pencarian data, rekapitulasi, dan penyusunan laporan belum efisien. Kegiatan pengabdian ini bertujuan mengembangkan sistem informasi perikanan berbasis website untuk mendukung digitalisasi data. Metode yang digunakan adalah SDLC model Waterfall, meliputi analisis kebutuhan, perancangan, implementasi, pengujian, dan evaluasi. Hasil kegiatan menunjukkan bahwa sistem mampu mempermudah input, pencarian, pengolahan, dan penyajian data perikanan, serta membantu penyusunan laporan dalam format digital. Evaluasi pengguna menunjukkan bahwa sistem memperoleh penilaian sangat baik dengan rata-rata 4,58, sehingga dinilai mampu mempermudah pengelolaan data perikanan dan mendukung penyusunan laporan digital. Dengan demikian, sistem ini berkontribusi dalam meningkatkan efisiensi kerja dan kualitas pengelolaan data perikanan di Kabupaten Kudus. 
Co-Authors Afriza, Mohammad Maulana Andy Prasetyo Utomo Rizqiyanto, Nanda Lutfi Salma, Aulia Happy Supriyono Supriyono