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PENGATURAN PERSEDIAAN BARANG MELALUI PERANCANGAN SISTEM INVENTORI BERBASIS JAVA PADA TOKO SEMBAKO EDI Hasibuan, Khoirul Ahmad; Sulistyohati, Aprilia; Halimatusha'diah, Halimatusha'diah
Biner : Jurnal Ilmiah Informatika dan Komputer Vol 3 No 2 (2024): Juli
Publisher : Program Studi Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/biner.v3i2.7397

Abstract

Penelitian ini berfokus pada penyelesaian masalah tentang ketidaksesuaian data persediaan barang pada Toko Sembako Edi di mana sebelumnya proses pencatatan dilakukan secara manual, diubah menjadi pencatatan secara otomatis menggunakan aplikasi sistem inventori berbasis Java. Hal ini bertujuan untuk mengontrol keluar masuk barang agar dapat meminimalisir kesalahan dalam perhitungan dan pelaporan stok barang yang tersedia sehingga data stok barang menjadi lebih valid. Penelitian ini menggunakan metode research and development (R&D) yang merupakan proses atau langkah-langkah untuk mengembangkan suatu produk baru atau menyempurnakan produk yang telah ada. Adapun metode pengembangan sistem yang digunakan yaitu metode waterfall. Hasil penelitian ini adalah aplikasi sistem inventori dengan proses mendesain sistem, lalu menulis kode program untuk setiap modul menggunakan bahasa pemrograman Java dengan tools NetBeans dan database yaitu MySQL. Sebelum sistem diimplementasikan ke pengguna, sistem tersebut dilakukan pengujian menggunakan blackbox testing. Hasil dari penulisan program adalah sebuah sistem yang sudah layak untuk digunakan oleh owner dan karyawan.
Automation of Credit Approval Eligibility Using The Simple Additive Weighting Method At Financial Institutions Sulistyohati, Aprilia; Firdlaus, Ardli
SAINTEKBU Vol. 17 No. 01 (2025): Vol. 17 (01) January 2025
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/saintekbu.v17i01.5493

Abstract

Cooperatives as financial institutions engaged in has an important role in providing a source of financing for its members. The credit approval eligibility process in cooperatives is often done manually, which can take a long time, is prone to human error and subjectivity in decision making. and subjectivity factors in decision making. The method used method used in this research is the Simple Additive Weighting (SAW) method that is applied in automating the feasibility of credit approval in cooperatives. The criteria used in this research are income, age, credit history, occupation, number of dependents. This method is used with the aim of providing decisions that are more consistent, objective, transparent, and the time it takes is shorter. The result of this study is that customer A gets the highest score of 0.82, so that the customer is declared the most deserving prospective debtor to get credit approval at the cooperative. The results show that the application of the SAW method in the automation of credit approval eligibility has succeeded in increasing time efficiency in the credit approval eligibility assessment process so that it can handle more credit cases efficiently, besides that this method is able to minimize human error, and is able to eliminate the subjectivity factor in decision making. This can increase customer confidence in supporting transparent cooperative operations
Penerapan Metode Profile Matching pada Sistem Pendukung Keputusan Penentuan Karyawan Teladan Sulistyohati, Aprilia; Muliyani, Nani; Riski, Muhammad
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.v5i1.8682

Abstract

The development of Industry 4.0 encourages companies to manage human resources (HR) more effectively, efficiently, and objectively, especially in the employee performance appraisal process. Manual assessments often face obstacles, such as subjectivity, inefficiency, and limitations in data processing. This study aims to develop a web-based Decision Support System (DSS) using the Profile Matching method to assist in the selection process of exemplary employees. The Profile Matching method is used to compare actual employee values with ideal profiles through the stages of GAP calculation, GAP weighting, determination of Core Factors (CF) and Secondary Factors (SF), and final ranking. The research was conducted through problem identification, literature study, determination of ideal criteria and weights, employee data collection, manual calculations, system development with UML and database design, web application implementation, as well as functional testing and result validation. Based on the test results, the system produces values and rankings that are consistent with manual calculations, proving that the applied algorithm runs correctly and in accordance with the profile matching method procedure. In addition, the system's ranking results are also in line with HRD evaluations, making the system suitable for use as a decision-making tool. Web-based implementation improves accessibility, efficiency, and transparency in data management. Overall, this research contributes to the use of information technology to improve the quality of employee performance management and support HR development strategies in the digital era.