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Comparing the Performance of Multivariate Hotelling’s T2 Control Chart and Naive Bayes Classifier for Credit Card Fraud Detection Ichwanul kahfi Prasetya; Devi Putri Isnawarty; Abdullah Fahmi; Salman Alfarizi Pradana Andikaputra; Wibawati Wibawati
Inferensi Vol 7, No 1 (2024)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v7i1.18755

Abstract

Credit card is a transaction tool using a card which is a substitute for legitimate cash in transactions. The use of computer technology is needed for various kinds of electronic transactions. In the world of technology, the term machine learning is not new and technological developments are increasingly rapid in recent years. Statistical process control method (SPC) is one of the measuring instruments used to improve the performance of public services. Hotelling T^2 control chart is a method in SPC that can be used to control the process. Methods that are widely used in the detection and classification of documents one of them is Naive Bayes Classifier (NBC) which has several advantages, among others, simple, fast and high accuracy. Those two methods will be used to detecting o2utlier of this dataset. The study used the credit card fraud registry with some PCA as independent variables. The size of fraud transaction is very small which represented only 0.172% of the 284,807 transactions. This research will use Area Under Curve (AUC) as the performance goodness test. A comparison of the accuracy of NBC and Hotelling's T2 predictions shows that the performance of the T2 Hotelling method is better in detecting outliers than the NBC method
Qira’ah Variations and Qur'anic Meanings: An Analysis of Imam Hamzah's Thought Mahdi Afandi; Abdullah Fahmi
Al-Karim: International Journal of Quranic and Islamic Studies Vol. 1 No. 2 (2023): Al-Karim: International Journal of Quranic and Islamic Studies, September
Publisher : Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/al-karim.v1i2.3986

Abstract

The Quran was revealed in Arabic, chosen as the exclusive language to convey its divine message. However, the Arabic used in the Quran encompasses multiple dialects and pronunciations, reflecting its revelation in seven modes (ahruf), which facilitated comprehension for non-Arab readers. This study aims to analyze the influence of Qiraat diversity on Quranic interpretation, with a particular focus on the Qiraat of Imam Hamzah. This research employs a descriptive qualitative method with a library research approach, gathering data from classical and contemporary sources. By systematically examining the linguistic and grammatical aspects of Imam Hamzah’s Qiraat, this study highlights its distinctive characteristics compared to other Qiraat, including variations in i‘rab, root words, syntax, and pronunciation. The findings reveal that Imam Hamzah’s Qiraat significantly contributes to the interpretation of Quranic verses, particularly those concerning legal provisions (ayat ahkam). While some of his readings are unique, others align closely with the Qiraat of Al-Kisai or Abu Bakr from ‘Asim. These variations offer deeper insights into the flexibility and richness of Quranic recitation and its interpretive impact.Theoretically, this study underscores the role of Qiraat in shaping legal and theological exegesis, demonstrating how phonetic and grammatical nuances influence meaning. It contributes to Quranic studies by providing a comprehensive analysis of Imam Hamzah’s Qiraat and its implications for the understanding of Islamic jurisprudence and linguistic diversity in the Quran. Contribution: This study contributes to Quranic studies by demonstrating how Imam Hamzah’s Qiraat influences legal interpretation and linguistic diversity, enriching scholarly discourse on the interplay between recitation and exegesis.