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All Journal Jurnal Informatika Universitas Pamulang OKTAL : Jurnal Ilmu Komputer dan Sains
Rizki Gustianto Sidi
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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Pengujian Black Box pada Aplikasi Penjualan Toko Bunga Pelangi Berbasis Web Menggunakan Metode Equivalence Partitioning Aries Saifudin; Sri Mulyati; Rizki Gustianto Sidi; Riki Firmansyah Tanjung; Isa Hermawan; Nanda Noverdi Ruziki
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.17523

Abstract

Application or software testing requires validation to determine whether it meets the desired specifications or not. If the validation process is not perfect, it can result in imperfect data stored or processed, for example, such as when we store data in applications or software whose validation process is not perfect, it can result in errors in the data storage process. So the quality of validation must be improved to be accurate so as not to hinder the use of the software. In this study, we use Blackbox testing with the Equivalence Partitioning method, so that weaknesses in the application or software will be known after testing. The system test results show that the test can improve the quality of the application or the software is free from errors.
Implementasi Data Mining Untuk Prediksi Pola Penjualan Makanan Organik Menggunakan Algoritma Apriori Rizki Gustianto Sidi; Dede Sahrul Bahri
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 02 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

PT Indospirit Natura is engaged in the distribution of natural and organic food and beverages, headquartered in Kebon Jeruk, West Jakarta, and the distribution of its products has spread to various regions in Indonesia. So far, the use of sales transaction data at PT Indospirit Natura has only been stored as an archive. Even though the data can be utilized and processed into useful information for increasing product sales and product innovation. In this case, it is necessary to analyze the transaction data to obtain sales patterns. The result of this study is that the A priori Algorithm is able to be used to determine the products most often purchased by consumers by looking at the tendency of consumers to make transactions. The results of the analysis obtained after using the minimum support values of 30% (the strength of the combination of these items in the database) and the minimum confidence of 35% (the strength of the relationship between items in the association rules) resulted in twenty-eight association rules. One example is if consumers buy Bragg Acv 16 Oz, Bragg Seasoning 4.5 Oz And Bragg Olive Oil 473 Ml have a confidence value of 98.25% then it can be said that 98.25% of consumers who buy the Bragg Acv 16 Oz menu, Bragg Seasoning 4.5 Oz will also buy Bragg Olive Oil 473 Ml This information can make it easier to be used by PT Indospirit Natura in Predicting sales patterns.
Co-Authors Aries Saifudin Dede Sahrul Bahri Isa Hermawan Nanda Noverdi Ruziki Riki Firmansyah Tanjung Sri Mulyati