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All Journal JMM (Jurnal Masyarakat Mandiri) Sebatik Jurnal Mantik Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Journal of Students‘ Research in Computer Science (JSRCS) Naratif : Jurnal Nasional Riset, Aplikasi dan Teknik Informatika Jurnal Minfo Polgan (JMP) Jupiter Journal of Computer & Information Technology Innovative: Journal Of Social Science Research Jurnal Media Akademik (JMA) Adpebi International Journal of Multidisciplinary Sciences Fundamentum: Jurnal Pengabdian Multidisiplin
Mutoffar, Muhamad Malik
Sekolah Tinggi Teknologi Bandung
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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The influence of digital marketing interaction on generation z consumer loyalty on local beauty products Yasik, Yudi Limbar; Mutoffar, Muhamad Malik; Ridwan, Ridwan; Ginting, Jasa
Jurnal Mantik Vol. 9 No. 2 (2025): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v8i6.6571

Abstract

This study tried to look into how digital marketing interactions affect things on Generation Z consumer loyalty towards local beauty products in Indonesia. Regarding the digital transformation, Generation Z exhibits a strong tendency to engage actively in interactive communication with brands. This research adopted a quantitative explanatory approach using a survey methodology. Data were collected from 120 respondents aged 18–27 years who had used local beauty products within the last six months and were digitally active. The research instrument consisted of closed-ended questionnaires measured on a five-point Likert scale. Validity and reliability tests confirmed that the instrument met the required statistical standards. Tests of classical assumptions, encompassing normality, multicollinearity, and  hetero-scedasticity, also confirmed that the regression model was statistically valid. A simple linear regression analysis revealed that digital marketing interaction significantly and positively influenced consumer loyalty, The regression coefficient is 0. 532, and the significance level is 0. 000. The R Square value is 0. 521, which means that 52. 1% of the variation in consumer loyalty is explained by the model. The findings highlight the strategic importance of enhancing interactive digital marketing to foster emotional bonds and long-term loyalty among Generation Z consumers. This research adds value to existing knowledge by emphasizing interaction quality over mere digital presence
The Role of Management Information System Innovation as a Catalyst to Enhance Profitability in the Contemporary Digital Business Era Muhamad Malik Mutoffar; Achirsyah Bahar; Fahrina Mustafa
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13510

Abstract

Digital business has become a phenomenon dominating the global market, influencing various industries, and changing the way companies operate and interact with customers. This research aims to examine the crucial role of innovation in MIS as a catalyst for enhancing profitability in digital businesses. The research method employed is a qualitative literature review conducted by gathering data from Google Scholar within the timeframe of 2003 to 2024. The study findings indicate that innovation in management information systems (MIS) plays a vital role in enhancing profitability in digital businesses in the contemporary era. Through the implementation of advanced information technology, businesses can create added value, improve operational efficiency, and respond to market changes more quickly. Innovation in MIS also enables the development of new business models, enhances customer experiences, and creates a more sustainable business environment.
Role of ChatGPT as an Innovative Tool for Data Analysis and Market Trend Prediction in Business Information Systems Muhamad Malik Mutoffar; Sri Kuswayati; Tarsinah Sumarni; Rimba Krisnha Sukma Dewi; Erni Nurjanah
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The advancement of information and communication technology has fundamentally transformed the business landscape. Businesses are increasingly reliant on data to make effective, market-oriented decisions. Within the context of business information systems, ChatGPT can be utilized as an innovative tool to optimize data analysis processes, provide deeper market insights, and even make predictions about future trends. The aim of this research is to explore and test the potential of ChatGPT as an innovative tool in analyzing data and predicting market trends within the context of business information systems. This research employs a literature review approach with a qualitative methodology and descriptive analysis. Data were obtained from Google Scholar for the period of 2003-2024. The study results indicate that in an era where data has become the most valuable asset for companies, the ability to analyze and understand data effectively is key to success. In this context, the role of ChatGPT as an innovative tool for data analysis and market trend prediction in business information systems becomes highly significant. ChatGPT possesses the capability to comprehend and process human language with a high level of complexity, thus enabling it to harness data in various beneficial ways for companies.
BIG DATA ANALYTICS DAN MACHINE LEARNING UNTUK MEMPREDIKSI PERILAKU KONSUMEN DI E-COMMERCE Djihadul Mubarok; Kannisa Adjani; Brian Damastu Ridho Hutama; Muhamad Malik Mutoffar; Rina Indrayani
Jurnal Informatika dan Rekayasa Elektronik Vol. 8 No. 1 (2025): JIRE APRIL 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v8i1.1561

Abstract

Dalam era digital yang berkembang pesat, marketplace digital menjadi salah satu platform utama bagi konsumen dalam melakukan transaksi online. Pemanfaatan Big Data Analytics dalam menganalisis aktivitas konsumen dapat memberikan pengetahuan mendalam untuk pelaku usaha dalam meningkatkan strategi pemasaran dan layanan pelanggan. Penelitian ini bertujuan untuk mengeksplorasi penerapan Big Data Analytics dalam memahami pola pembelian konsumen serta faktor yang mempengaruhi loyalitas pelanggan di marketplace digital. Metode penelitian yang digunakan mencakup pengumpulan data primer melalui survei terhadap 1.000 responden serta data sekunder yang diperoleh dari web scraping dan teknik data mining. Data yang dikumpulkan dianalisis menggunakan teknik analisis Big Data dan algoritma Machine Learning untuk mengidentifikasi tren perilaku konsumen. Hasil penelitian menunjukan bahwa faktor harga, kecepatan pengiriman, serta pengalaman pengguna memiliki pengaruh signifikan terhadap loyalitas pelanggan. Selain itu, penerapan analisis prediktif berbasis Machine Learning mampu meningkatkan akurasi prediksi perilaku konsumen hingga 85%. Pada temuan ini, dapat memberikan pengetahuan bagi pelaku bisnis dalam menentukan ploda dan strategi pemasaran lebih efektif dalam meningkatkan kepuasan pelanggan. Penelitian ini dapat menjadikan peluang bagi penelitian berikutnya mengenai optimalisasi algoritma Machine Learning dalam segmentasi pelanggan untuk personalisasi pengalaman belanja.
Co-Authors Achirsyah Bahar Ade Kurniawan Agustian Zen Ahmad Ali Satia Ai Nurhayati Ai Nurhayati Ariansyah Fadillah Ashif Dzilfiqar Thayyibi Bima Maarschal Rizky Kurnia Fallah Brian Damastu Ridho Hutama Darmawan, Irwan Adji Didik Setiyadi Dimas Raihan Naufal DJIHADUL MUBAROK Erni Nurjanah Fetty Tri Anggraeny Ginting, Jasa Heri Afitriansyah Imam Yunianto Imam Yunianto Imam Yunianto JAMALUDIN Jerry Watulangkouw Juliana Mansur Kannisa Adjani Kholiq Fajar, Abdul Lundu Taufik Parulian Sihite Mansur, Juliana Muchammad Naseer Muhammad Zaenal Mutaqin Mustafa, Fahrina Pratama , Syadam Puspita Puji Rahayu Randy, Muhammad Fakhri Ridwan, Ridwan Rimba Krisnha Sukma Dewi Rina Indrayani Saepudin Saepudin Salis, M Tio Putra Samin Sihite, Lundu Taufik Parulian Slamet Raharjo Sri Kuswayati Sri Kuswayati Sri Kuswayati Tarsinah Sumarni Tarsinah Sumarni Thayyibi, Ashif Dzilfiqar Wahyuni Sri Astutik Watulangkouw, Jerry Yasik, Yudi Limbar Yunianto , Imam Yunianto, Imam