Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal International Journal of Health, Engineering and Technology Qurthuba: The Journal of History and Islamic Civilization
Muhammad Akbar Firdaus
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Dentistry Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Peran Kiai Iskandar Umar Abdullatif di Krian Sidoarjo Muhammad Akbar Firdaus
Qurthuba: The Journal of History and Islamic Civilization Vol. 5 No. 1 (2021): September
Publisher : Department of History and Islamic Civilization, Faculty of Adab and Humaniora, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/qurthuba.2021.5.1.22-41

Abstract

Abstract: This study seeks to explore the autobiography of a character, namely Kiai Iskandar Umar Abdullatif in shaping the morals of the Krian community, Sidoarjo, the period 1985-2010. Society has a collective character that can be formed or changed to become more mature---in the assumption that some people are "better"---including the people of Krian, of course in a short period. Kiai Iskandar Umar Abdullatif is someone who seems to have this assumption because he is an important scholar in changing the character of the Krian community to become more "Islamic". The aim of this research is; first, to photograph the figure of Kiai Iskandar Umar Abdullatif in shaping the Islamic character of the Krian community by using Weber's leadership theory. Second, the changes in the pre-and post-formation Krian society in the 1985-2010 period. This research uses historical research methods and community anthropological approaches. The results of this study revealed that Kiai Iskandar Umar Abdullatif made several efforts to shape the Islamic character of the Krian community. He founded the Darul Falah Islamic Boarding School to build the character of the children of the Krian community, opened branch boarding schools from the mass marriage program for his satri students, held scientific assemblies in the community, and became a figure of ulama whose fatwas were obeyed by the community. This study also found a change in the character of the Krian community to become more Islamic since the existence of the Darul Falah Islamic Boarding School. People who initially liked to lose money, gamble, drink, and other un-Islamic matters turned out to be fond of the routine activities of the Koran, congregational prayers, diba'iyah, sholawat, and others. Keywords: character, Kiai Iskandar Umar Abdullatif, Krian, society
Machine Learning–Based Prediction of Oil Palm Plantation Yield Using Random Forest Regression Mayang Modelina Cynthia; Sigit Prabowo; Jheki Pranta Singarimbun; Muhammad Akbar Firdaus; Hafizh Al-Ghifari Rangkuti Rangkuti; Rido Favorit Saronitehe Waruwu; Muhammad Amin
International Journal of Health Engineering and Technology Vol. 4 No. 5 (2026): IJHESS JANUARY 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v4i5.572

Abstract

The rapid development of digital technology has led to a significant increase in the volume and diversity of customer transaction data, making big data a crucial asset for organizations in designing business strategies. However, abundant data will not provide meaningful value if it is not analyzed appropriately. This study aims to implement data science techniques to extract insights from big data of customer transactions using the Python programming language. The research adopts a descriptive–exploratory quantitative approach by utilizing customer transaction datasets as secondary data. The analysis stages include data preprocessing, exploratory data analysis (EDA), and the application of data science algorithms such as clustering and predictive analysis using Python libraries including pandas, numpy, matplotlib, and scikit-learn. The results show that the data science approach is capable of identifying customer behavior patterns based on spending value, transaction frequency, and purchasing habits over a specific period. Furthermore, the clustering model successfully groups customers into several segments with distinct characteristics, providing valuable insights that can be used as a basis for more effective and personalized marketing decision-making. Therefore, this study confirms that the implementation of data science using Python can assist companies in transforming big data of customer transactions into high-value information that supports improved business strategies and customer retention.
Co-Authors Hafizh Al-Ghifari Rangkuti Rangkuti Jheki Pranta Singarimbun Mayang Modelina Cynthia Muhammad Amin Rido Favorit Saronitehe Waruwu Sigit Prabowo