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All Journal JUTIK : Jurnal Teknologi Informasi dan Komputer
Aldo Bonifasius Simbolon
Universitas Negeri Medan
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Social Sciences

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ANALISIS PENGARUH JENIS PEKERJAAN DAN SALDO TERHADAP RESPON PADA KAMPANYE BANK MENGGUNAKAN ALGORITMA DECISION TREE Aldo Bonifasius Simbolon; Dean Siregar; Sybil Auzi; Febe Gracia Sembiring; Arnita; Fanny Ramadhani
Jurnal Teknologi Informasi dan Komputer Vol. 12 No. 2 (2026): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi Oktober 2026
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v12i2.3994

Abstract

In the era of digitalization, data has become a crucial asset in strategic decision-making within the banking sector. Financial institutions face challenges in understanding customer preferences and behavior more personally when conducting product promotion campaigns. This research aims to analyze and uncover the influence patterns of job type and account balance on customer responses to bank campaigns using the Decision Tree algorithm. A data-driven analytical approach is needed to uncover hidden patterns from collected customer information. The Decision Tree algorithm was chosen for its ability to provide predictions and present decision-making logic in an easily understandable tree structure, as well as its flexibility in handling both categorical and numerical data. The simplified dataset focuses on the 'job' and 'balance' features, which are then processed using label encoding for categorical features. The model was trained using the fit method and evaluated using Accuracy, precision, recall, and F1-score metrics. The evaluation results show that the model's overall Accuracy reached 92%. For the 'yes' response class, recall reached 97% and precision 88%, indicating the model's good ability to identify potentially positive customers. Interpretation of the results from the Decision Tree structure explicitly indicates that job type and customer balance have different patterns of inclination towards marketing campaigns, where customers with high balances tend to respond positively. This research is expected to contribute to the development of a more accurate, effective, and efficient data-driven decision support system for marketing activities in the banking sector, based on the revealed influence patterns.
PENGEMBANGAN SISTEM MANAJEMEN PROYEK ADAPTIF BERBASIS AI PADA METODOLOGI AGILE Iwan Agi Berutu; Dean Siregar; Aldo Bonifasius Simbolon; Khildan Rifail Azis; Adidtya Perdana
Jurnal Teknologi Informasi dan Komputer Vol. 12 No. 2 (2026): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi Oktober 2026
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v12i2.3995

Abstract

The rapid development of technology in the current era has led to the abandonment of many jobs that were previously done manually or conventionally. Gradually, these jobs are being replaced by more modern systems to improve efficiency, especially in project management, which now demands high flexibility along with the adoption of the Agile methodology. In response to this challenge, this research aims to develop an Adaptive Project Management System based on AI, specifically designed to support the Agile workflow. The development method for this system uses a client-server architecture with PHP  as the backend, MySQL as the database, and an interactive web interface built using HTML, CSS, and JavaScript. The main innovation of this system is the integration of artificial intelligence (AI) through a Chatbot capable of translating project descriptions in natural language into a structured list of tasks automatically, including suggesting smaller sub-tasks to simplify management. The result of this research is a functional web application where users can manage tasks both manually and with the assistance of AI, which has been proven successful in transforming user commands into an actionable project plan, complete with descriptions, deadlines, and visual statuses. This system has proven to be an effective solution that not only simplifies the project management process but also proactively assists in the planning phase, making it a powerful tool for enhancing the productivity and transparency of Agile teams.
Co-Authors Adidtya Perdana, Adidtya Arnita Dean Siregar Febe Gracia Sembiring Iwan Agi Berutu Khildan Rifail Azis Ramadhani, Fanny Sybil Auzi