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All Journal Jurnal Teknologi Sistem Informasi dan Aplikasi OKTAL : Jurnal Ilmu Komputer dan Sains
Helmy Agus Pradita
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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Implementasi Black Box Testing pada Aplikasi Sistem Kasir dengan Menggunakan Teknik Equivalence Partitions Muhammad Nurul Huda; Muhammad Burhan; Ahmad Satibi; Helmy Agus Pradita; Aries Saifudin; Irpan Kusyadi
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol 5, No 2 (2022): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v5i2.17645

Abstract

Testing an application serves to check whether an application / program is running with what is desired or whether there are still errors / errors that need to be corrected so that the program created into a quality program. Software testing method consists of two types, namely Blackbox testing and Whitebox Testing where many are used in the time of the testers to check the program is appropriate or not with what they want. Testing this time the software that will be tested using the Blackbox testing method, this time testing only has the purpose to check the program being tested whether it is in accordance with the benefits that the manufacturer wants to the program without the tester having to know what program code is used in the application. Testing the Blackbox method is really a variety of one is Equivalence Partitions. which is utilized by us in the testing process this time. This technique is a trial in which the tester inputs data on all pages in the cashier application process, each page in the form of input will be tested and classified based on its function whether it is valid or not. What is desired in this test is the creation of the quality of the software produced in accordance with the benefits expected by the creator, and can also provide benefits to buyers who will use it.
SISTEM PENGENALAN WAJAH SEBAGAI AKSES LOKER PENYIMPANAN BARANG MENGGUNAKAN ESP32-CAM (STUDI KASUS: PT BUMI NUSANTARA JAYA) Helmy Agus Pradita; Deanna Durbin Hutagalung
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 05 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Face recognition is one of the most studied and developed biometric technologies, in which the device uses a facial recognition algorithm to distinguish individuals based on existing data. Biometric technology is specifically designed to recognize the characteristics of the human biological side, enabling the system to identify, recognize and capture objects on a digital screen. At the PT Bumi Nusantara Jaya company, all employees get their respective lockers and locker keys using a pin and key password that can only be opened by the employee so if someone forgets the locker code and loses the key it is very difficult to open it. The room security system is very good, but the author sees that there are still deficiencies, namely the document storage lockers that are still manually using a code that sometimes forgets the code and the master key is tucked in, even swapped because of the same shape, color and size. Therefore we need a facial recognition system known as a biometric system. In biometric recognition using body parts such as fingers, retina, face, palms. On this occasion the author takes one of the biometrics, namely facial recognition or commonly called face recognition. By using a tool in the form of a camera to recognize faces. To overcome this problem, a Face Recognition System was created to Access Goods Storage Lockers Using ESP32-CAM. In this study using the prototype method, where the flow and stages used include surveys, interviews, literature study, implementation, and testing. The results of this study are in the form of a facial recognition system which is expected to facilitate access to secure locker storage at PT Bumi Nusantara Jaya.
Co-Authors Ahmad Satibi Aries Saifudin Deanna Durbin Hutagalung Irpan Kusyadi Muhammad Burhan Muhammad Nurul Huda