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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA INFOKUM Jurnal Abdidas Jurnal Minfo Polgan (JMP)
Ellanda Purwawijaya
Teknologi Informasi, Fakultas Teknologi, Universitas Battuta
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Health Professions Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

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Analisis Kualitas Rancangan Point of Sale Menerapkan Metode Mean Squared Error Fithrie Soufitri; Ellanda Purwawijaya
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4767

Abstract

The development of the business prompted the company to always strive to improve the quality of products and services to consumers. The service can purchase goods was done electronically and can also be done online or electronic commerce. Implementation of business solutions is a commitment to improve its corporate customers a competitive advantage in terms of efficiency, effectiveness, performance, and business development. The research purpose is to analyze the quality of point of sale (POS) designs to support a purchasing service system that can help Nasi Kapau Unidar restaurants. This creation begins with data collection using the mean squared error (MSE) method with a flowchart approach and Unified Modeling Language (UML) with the result of the accuracy with mean squared error of 0.44.
Implementasi Face Recognition Pada Absensi Karyawan Menggunakan Local Binary Pattern Histogram dan SHA 256 bit Ellanda Purwawijaya; Roy Nuary Singarimbun; Hendra Pasaribu
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4923

Abstract

Attendance is an activity that states the presence or absence of an employee. One of the technology models used to express the presence of an employee is a fingerprint machine. PT Global Andalas Cargotama has implemented an employee attendance system using a fingerprint. However, in the process of implementation, the fingerprint machine has weaknesses that are vulnerable to manipulation, fingerprint identification which is often hampered due to the need for routine machine maintenance and attendance recapitulation which is still done manually and not in real time. The face recognition system is an application to recognize faces in real time and accurately and can be applied to overcome the weaknesses of the fingerprint machine. This study uses the LBPH (Local Binary Pattern Histogram) method in recognizing employees' faces when doing attendance, this is based on several studies that have been done previously, this method has a high level of accuracy in recognizing faces. Meanwhile, SHA256 bit cryptography is used to solve the problem of attendance manipulation. The results of facial recognition both when attendance comes in and attendance goes home will be stored on the server computer locally to state employee attendance. The test results from this study showed that the attendance application was able to recognize the employee's face accurately with an average accuracy rate of 0.9511 by paying attention to the room lighting parameters, accessories on the face and the distance from the camera to the face. Through this research, it is expected to be able to overcome the problem of the weakness of the fingerprint machine and the attendance process at PT Global Andalas Cargotama to be more effective.
Co-Authors Aripin Rambe Dinur Syahputra Eka Hayana Hasibuan Fahmi Ruziq Fithrie Soufitri Hendra Pasaribu Nababan, Junerdi Rahmad Syuhada Roy Nuary Singarimbun Roy Nuary Singarimbun