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All Journal JAIS (Journal of Applied Intelligent System) Indonesian Journal of Contemporary Multidisciplinary Research SAINTEK
Amali
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Social Sciences

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Analysis of K-Nearest Neighbor (KNN), Naive Bayes ands Decision Tree C4.5 Algorithm With Classification Method In Breast Cancer Using RapidMiner Iqbal, Muhammad; Donny, Maulana; Wahyu, Hadikristanto; Tedi, Kurniadi Nanang; Amali; Ismasari, Nawangsih
Journal of Applied Intelligent System Vol. 9 No. 2 (2024): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

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Abstract

Breast cancer is cancer that forms in the cells of the breast. It is the most common cancer in women and the leading cause of cancer deaths in women worldwide. Breast cancer is usually divided into two types: benign, or usually called benign and malignant, or usually called malignant. Benign cancers are usually characterized by small, round, tender lumps. In the fields of medicine, finance, marketing, and social science, data mining is a popular tool for performing proven analysis. This study will compare K-Nearest Neighbor (KNN), Naive Bayes, and Decision Tree C4.5 approaches for classifying breast cancer. The problem of this research is which algorithm has a high level of accuracy that can be used with breast cancer datasets and can provide information about patterns or models for early detection of breast cancer. The results of the research conducted using CRISP-DM show that K-Nearest Neighbor (KNN) has the highest accuracy value with 97.14% and its AUC value is 0.976. The AUC value also showed excellent classification, with an AUC value between 0.90 and 1.00.
Survei Pohon Keputusan Entropi untuk Memprediksi Kematangan Buah Durian Varietas Musangking Maulana, Donny; Amali
Prosiding Sains dan Teknologi Vol. 3 No. 1 (2024): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 3 - Januari 2024
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Kematangan buah durian varietas Musangking merupakan faktor penting yang menentukan kualitas dan harga jualnya. Oleh karena itu, prediksi kematangan buah durian menjadi penting untuk dilakukan. Dalam penelitian ini, metode pohon keputusan entropi digunakan untuk memprediksi kematangan buah durian varietas Musangking. Data yang digunakan berupa data hasil pengukuran karakteristik fisik dan kimia buah durian, yaitu warna kulit, ketebalan kulit, bobot buah, kadar air, dan kadar gula. Hasil penelitian menunjukkan bahwa pohon keputusan entropi dapat digunakan untuk memprediksi kematangan buah durian varietas Musangking dengan akurasi sebesar 90%.
Sharia Marketing in Business: Paradigm, Ethics and Implementation of Islamic Principles Hidayat, Chaerul; Rini Ariza; Aan Fadillah; Muhammad Reza; Amali
Indonesian Journal of Contemporary Multidisciplinary Research Vol. 3 No. 4 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/modern.v3i4.9785

Abstract

Marketing is the main focus for companies in their efforts to develop and maintain their business. This article reviews in detail the concept of marketing in a general context and sharia marketing. Sharia marketing emphasizes Islamic moral principles such as faith, khalifah, balance, and justice, which form the basis for the strategy, tactics, values, and image of Islamic marketing. In addition, in practice, Islamic marketing also includes aspects of spirituality, considering competition as a partner to spur creativity. Specific characteristics of Islamic marketing include unity, faith, balance, justice, freedom of will, and benevolence. Islamic marketing ethics emphasize integrity, honesty, and good service. It is hoped that by applying these principles, companies can create a healthy business environment and provide benefits for all parties involved
Utilization of Media and Technology in Learning Islamic Religious Education Amrullah, Hilman Ihza; Alif Nur Fathlii Amarta; Taufik Qurhahman; Amali
Indonesian Journal of Contemporary Multidisciplinary Research Vol. 3 No. 4 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/modern.v3i4.10010

Abstract

This research explores the use of media and technology in learning Islamic Religious Education in the digital era. The application of modern technology and interactive media has the potential to improve the quality and effectiveness of the PAI learning process. This study will analyze various technological platforms and tools used to deliver PAI material to students. Digital media such as learning videos, mobile applications and e-learning platforms can help improve students' understanding of PAI material. Apart from that, the use of technology also facilitates more interactive and interesting learning, and supports independent learning. This study also emphasizes the importance of educators' readiness to integrate technology into the PAI curriculum and the need for training and support for teachers. Proper use of technological media will bring positive changes in Islamic Religious Education learning
Co-Authors Aan Fadillah Alif Nur Fathlii Amarta Amrullah, Hilman Ihza Donny, Maulana Hidayat, Chaerul Ismasari, Nawangsih Maulana, Donny Muhammad Iqbal Muhammad Reza Rini Ariza Taufik Qurhahman Tedi, Kurniadi Nanang Wahyu, Hadikristanto