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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains
Ridwan Hakim
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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Pengujian Black Box Aplikasi Pendataan Buku Perpustakaan SDN Larangan 04 Tri Widiayu Ningsih; Ridwan Hakim; Satria Anggara Fayyadh Alwaly; Arich Herdiansyah; Aries Saifudin
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 07 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Book data collection application in the SDN Larangan 04 library is an application that is used to record the availability of books, borrow books and also return books to the library. If an error occurs in the application it will cause an error which will make the library admin have to record it manually by writing in the ledger. To determine the level of quality, it is necessary to test the application. At the testing stage that will be tested are specifications, designs, and also coding using the Black Box method. The Black Box testing method is carried out to find out software errors related to inappropriate functions or errors in each interface display or data structure in an external database, sub-optimal work processes, and also errors when initializing or terminating. The end result of software testing is that it is free from errors that will hinder the user from completing his task. And informs that the software meets the specifications that have been previously determined.
Analisis Perbandingan Metode SAW, WP Dan TOPSIS Dalam Pemilihan Siswa Berprestasi Pada SDN Larangan 04 Pari Purnaningsih; Ridwan Hakim; Satria Anggara Fayyadh Alwaly; Arich Herdiansyah; Perani Rosyani; Tri Widiayu Ningsih
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The selection of outstanding students at SDN Larangan 04 is carried out every year. This process is very important to improve the quality of student creativity in the learning process. In the selection stage students who excel will be selected from several specific criteria. The decision method determines the best alternative among several alternatives based on certain criteria, including the Weighted Product (WP) method, SAW and the TOPSIS method which have similarities with the ideal solution. Decision support system methods are compared to determine which method gives the highest score when selecting outstanding students. Comparison of the Weighted Product, SAW and TOPSIS methods shows that the Weighted Product method is more accurate than the SAW and TOPSIS methods in terms of sequence preference similarities with ideal solutions. Measured from the accuracy of the three methods, the WP (Weighted Product) method has the highest accuracy for determining student performance potential.
Co-Authors Arich Herdiansyah Aries Saifudin Pari Purnaningsih Perani Rosyani Satria Anggara Fayyadh Alwaly Tri Widiayu Ningsih