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Electronic Integrated Computer Algorithm Journal
Published by Yayasan Asmin Intelektual Berkah
ISSN : -     EISSN : 30310350     DOI : https://doi.org/10.62123/enigma.v1i1.10
Core Subject : Science, Social, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Social Sciences
ENIGMA : Electronic Integrated Computer Algorithm Journal is open to researchers and experts in the fields of computer science, information engineering and information systems. This journal is a forum for researchers and experts to present the results of research related to the fields of computer science, informatics engineering and information systems.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 46 Documents
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Implementing Collaborative Filtering for E-Commerce Product Personalization Using a Rapid Application Development Approach Giawa, Mullah Cadre; Fansyah, Egi Al; Alsyah, Dwi fahira; Nusantara, Abdul Hakim Satria; Thamrin, Daffa Shidqi; Fauzan, Ratandi Ahmad
Electronic Integrated Computer Algorithm Journal Vol. 3 No. 2 (2026): VOLUME 3, NO 2: APRIL 2026
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v3i2.145

Abstract

The rapid expansion of e-commerce has increased the difficulty of guiding users toward relevant products, particularly as catalogs grow and user preferences become more diverse. This paper presents an end-to-end implementation of a personalized product recommendation feature using a memory-based collaborative filtering approach integrated into an e-commerce platform. Development followed a Rapid Application Development (RAD) workflow, enabling iterative prototyping, integration, and testing of the recommendation module within the operational system. Recommendations were generated using a K-Nearest Neighbors method with cosine-based similarity to identify related items from user interaction histories and to produce Top-N product suggestions in the storefront interface. Model evaluation employed a transactional dataset commonly used for recommender experiments, which was refined from 541,909 records (8 attributes) to 406,829 interaction-focused records (CustomerID, Description, Quantity). Performance was assessed using MAE, RMSE, and F1-score, yielding values of 0.6, 0.8, and 0.6, respectively. The results indicate that collaborative filtering can provide moderately accurate and relevant recommendations when interaction history is available, while also exposing practical limitations for users with limited transactions, reflecting a cold-start constraint. These findings suggest that RAD-supported integration of collaborative filtering is feasible for e-commerce personalization and provides a baseline for further enhancement.
Development of a Web-Based eChecklist System for Final Product Inspection in a Coachbuilding Company Fatahillah, Gehan Gibran; Fansyah, Egi Al; Asyam, Muhammad Rizq Dzaki; Alsyah, Dwi Fahira; Nusantara, Abdul Hakim Satria; Saleh, Rayhan Zahwan
Electronic Integrated Computer Algorithm Journal Vol. 3 No. 2 (2026): VOLUME 3, NO 2: APRIL 2026
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v3i2.146

Abstract

This final project develops a web-based eChecklist system to support the final product inspection process in a coachbuilding company. The system is designed to replace manual checklist recording, which is often inefficient, prone to human error, difficult to track, and lacks real-time accessibility. The objective of this project is to improve the consistency and accuracy of inspection records, streamline communication among inspectors, supervisors, and administrators, and provide reliable documentation for each inspected unit. The system was developed using PHP with the Laravel framework and implemented using the Rapid Application Development (RAD) method. The main features include user authentication, role-based access control, digital checklist input, checklist validation, inspection history tracking, and report export. Testing was conducted on core functionalities such as login, role-based access, checklist submission, validation, status tracking, user and role management, and report generation. The results show that all tested functionalities worked properly and achieved the expected outcomes. It can be concluded that the web-based eChecklist system is able to support final inspection activities more effectively, improve data traceability, and enhance operational reliability in the coachbuilding quality control process.
Design of NLP-Based Chatbot for Academic Services at Politeknik Negeri Medan Sulistianingsih, Indri; Ginting, Ramadhanu; Rizka, Ade; Siregar, Brema Arihta
Electronic Integrated Computer Algorithm Journal Vol. 3 No. 2 (2026): VOLUME 3, NO 2: APRIL 2026
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v3i2.163

Abstract

The development of artificial intelligence technology has encouraged the use of chatbots in various sectors, including higher education. These chatbots can increase interaction, provide learning support, and facilitate the delivery of information automatically. This study aims to design a chatbot that functions as a virtual assistant in an educational environment, with an emphasis on increasing interaction between users and the system. The methods used include a systematic approach in designing interfaces, natural language processing (NLP), and testing the responsiveness of chatbots to user needs. From the literature review conducted, it is evident that chatbots make a positive contribution to learning motivation, student engagement, and the efficiency of the learning process, especially in the context of online learning. However, the current system is limited to predefined academic queries and does not yet handle complex academic advising, financial inquiries, or counseling support. The hope of this study is to provide guidance in developing educational chatbots that are effective, flexible, and able to adapt to user needs in the post-pandemic era.
The Evaluating Customer Relationship Marketing Strategy on Customer Retention at DMKR Fashion Company Husaini, Galih Rashif; Lubis, Muharman; Andiharsa Sih Setiarto, Rahardian; Fauzan, Ratandi
Electronic Integrated Computer Algorithm Journal Vol. 3 No. 2 (2026): VOLUME 3, NO 2: APRIL 2026
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v3i2.164

Abstract

Building and maintaining strong relationships with customers is essential for business sustainability, especially in an increasingly competitive market where customer loyalty can shift easily. Customer Relationship Management (CRM) has become an important strategic approach that allows companies to manage customer data, strengthen communication, and improve customer experiences. CRM also supports public relations activities by enhancing trust and long-term engagement. During the COVID-19 pandemic, business owners at Dakar, a local MSME in the batik fashion industry, faced significant uncertainty and were required to adapt quickly to changing customer needs and digital consumption patterns. Despite this challenge, the company continued to identify opportunities to strengthen customer loyalty and retention through various CRM-based strategies. This study examines how Dakar implements CRM and evaluates its impact on customer retention using qualitative methods supported by sales and customer behavior data. The results show that CRM contributes to better understanding customer preferences, improving service quality, and encouraging repeat purchases. Furthermore, CRM helps Dakar build emotional bonds with customers through product personalization, social engagement, and the integration of digital platforms. Overall, CRM plays a crucial role in supporting business resilience and customer loyalty in the post-pandemic era.
Implementation CRM (Customer Relationship Management) in Digital Era Yualinda, Sherli; Lubis, Muharman; Yualinda, Sherla; Fauzan, Ratandi
Electronic Integrated Computer Algorithm Journal Vol. 3 No. 2 (2026): VOLUME 3, NO 2: APRIL 2026
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v3i2.167

Abstract

The rapid advancement of digital technology has transformed the way companies interact with customers, requiring organizations to adapt their Customer Relationship Management (CRM) strategies to remain competitive in a dynamic market environment. Technology provides customers with greater choice and control, encouraging companies to develop more personalized and deeper relationships. Effective CRM implementation is therefore crucial in the digital era to better understand customer needs, enhance communication, and deliver improved customer experiences. However, CRM implementation also encounters several challenges, including resistance to change, difficulties in integrating legacy systems, complex data management, and limited resources. The success of CRM largely depends on a company’s ability to adapt to evolving customer needs and leverage technology to strengthen long-term relationships. By addressing these challenges, companies can achieve a sustainable competitive advantage.
Customer Relationship Management Strategies in Coffee Shops: A Literature-Based Analysis of Kopi Kenangan Tamara Indhira, Sekar; Lubis, Muharman; Wirawan, Muhammad Naufal; Tiara Citra Maharany, Sekar; Fauzan, Ratandi
Electronic Integrated Computer Algorithm Journal Vol. 3 No. 2 (2026): VOLUME 3, NO 2: APRIL 2026
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v3i2.168

Abstract

This study presents a literature-based analysis of Customer Relationship Management (CRM) strategies in coffee shops, with a particular focus on Kopi Kenangan as a prominent coffee chain in Indonesia. The study aims to identify how CRM practices are reflected in both physical store experience and digital customer engagement through the brand’s mobile application, and to examine how these practices may relate to customer satisfaction and loyalty. The research employed a descriptive qualitative literature review by analyzing scholarly journal articles, conference proceedings, and relevant secondary reports. The reviewed literature suggests that integrated CRM practices in coffee shops commonly operate through two complementary channels: in-store relationship building and digital relationship management. In-store factors such as servicescape, service quality, and customer-friendly facilities are consistently associated with positive customer experiences, while digital features such as mobile ordering, loyalty mechanisms, and promotional communication may enhance convenience, engagement, and repeat purchase intention. In the context of Kopi Kenangan, the available literature indicates that the combination of offline and online CRM strategies is likely to support customer relationship development and brand loyalty. This study concludes that the integration of service experience and digital engagement represents an important CRM approach in the contemporary coffee shop industry, while also highlighting the need for future empirical studies to validate these patterns more directly.

Page 5 of 5 | Total Record : 46

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