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All Journal Jurnal Pilar Nusa Mandiri Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Talimi
Prasetyo, Rizal
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Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media

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IMPLEMENTASI ALGORITMA APRIORI TERHADAP DATA PENJUALAN PADA PERUSAHAAN RETAIL Putra, Jordy Lasmana; Raharjo, Mugi; Sandi, Tommi Alfian Armawan; Ridwan, Ridwan; Prasetyo, Rizal
Jurnal Pilar Nusa Mandiri Vol 15 No 1 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (918.016 KB) | DOI: 10.33480/pilar.v15i1.113

Abstract

The development of the business world is increasingly rapid, so it needs a special strategy to increase the turnover of the company, in this case the retail company. In increasing the company's turnover can be done using the Data Mining process, one of which is using apriori algorithm. With a priori algorithm can be found association rules which can later be used as patterns of purchasing goods by consumers, this study uses a repository of 209 records consisting of 23 transactions and 164 attributes. From the results of this study, the goods with the name CREAM CUPID HEART COAT HANGER are the products most often purchased by consumers. By knowing the pattern of purchasing goods by consumers, the company management can increase the company's turnover by referring to the results of processing sales transaction data using a priori algorithm
كشف الوجوه البيانية في قصيدة الشيخ علي الصابوني للحبيب أبي بكر العدني Huda, Nailil; Prasetyo, Rizal; Lintang, Daud
Ta'limi | Journal of Arabic Education and Arabic Studies Vol. 1 No. 1 (2022): Ta'limi
Publisher : STAINI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53038/tlmi.v1i1.13

Abstract

This research aims to unmask the beauty of the Arabic language as well as to reveal the shape of the parrot contained in the qasidah mirṡāh by Habib Abu bakr al-'Adni. As for the problem in this discussion, First: who is shaykh 'ali al-ṣābūnī?  Second: who is Habib Abu Bakr al-'adni?  Third: what is the shape of the parrot in the qasidah mirṡāh by Habib abu bakr al-'adni?  Fourth: what is the meaning of the lamentation qasidah in habib abu bakr al-'adni's qasidah mirṡāh? In this study the author used the library method by reading, analyzing and collecting data by referring to sources, references and books related to this theme. Then, for the stages of his research is to  collect poems that contain only parrots and look for bayan elements, include the meaning of the poem in language and overall meaning, and reveal the parrot forms contained in the poem. The results of this study contained 1 tasybîh and 17 majãz. In addition, this study became a picture of the breadth of language science, especially arabic science. Because, the style (uslub) of language communication is certainly very influential on all areas of europeanism and Arabic literature.
Komparasi Algoritma Logistic Regression dan Random Forest pada Prediksi Cacat Software Prasetyo, Rizal; Nawawi, Imam; Fauzi, Ahmad; Ginabila
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v6i2.1522

Abstract

Testing becomes the standard in producing quality software, testing can be assessed through certain measures and methods, one of the benchmarks for software quality is ISO, which was made by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) , In the prediction of software defects software defect prediction error is a very bad thing, the prediction results can have an effect on the software itself. This study compares the results of the Logistic Regression Algorithm and Random Forest before and after the resampling method is applied, the test results show that Random Forest with resampling produces a higher level of accuracy. From the test results above, it can be concluded that the Random Forest with resampling method is more effective in predicting software defects
Komparasi Algoritma Logistic Regression dan Random Forest pada Prediksi Cacat Software Prasetyo, Rizal; Nawawi, Imam; Fauzi, Ahmad; Ginabila
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (665.169 KB) | DOI: 10.54367/jtiust.v6i2.1522

Abstract

Testing becomes the standard in producing quality software, testing can be assessed through certain measures and methods, one of the benchmarks for software quality is ISO, which was made by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) , In the prediction of software defects software defect prediction error is a very bad thing, the prediction results can have an effect on the software itself. This study compares the results of the Logistic Regression Algorithm and Random Forest before and after the resampling method is applied, the test results show that Random Forest with resampling produces a higher level of accuracy. From the test results above, it can be concluded that the Random Forest with resampling method is more effective in predicting software defects
Co-Authors Fauzi Ahmad Muda Ginabila Imam Nawawi, Imam Jordy Lasmana Putra Lintang, Daud Nailil Huda Raharjo, Mugi Ridwan, Ridwan Tommi Alfian Armawan Sandi