p-Index From 2021 - 2026
7.664
P-Index
This Author published in this journals
All Journal Jurnal Manajemen STIE Muhammadiyah Palopo METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi MABIS: Manajemen dan Bisnis JEMMA | Journal of Economic, Management and Accounting JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Yumary: Jurnal Pengabdian kepada Masyarakat LOSARI: Jurnal Pengabdian Kepada Masyarakat Bulletin of Economic Studies (BEST) Jurnal Abdimas Ekonomi dan Bisnis Jurnal Abdi Masyarakat Indonesia Jurnal Ekonomi dan Bisnis Digital (MINISTAL) Jurnal Ilmiah Manajemen, Bisnis dan Kewirausahaan Formosa Journal of Multidisciplinary Research (FJMR) KINDAI : Kumpulan Informasi dan Artikel Ilmiah Manajamen dan Akuntansi Studi Akuntansi, Keuangan, dan Manajemen Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Seminar Nasional Pengabdian Kepada Masyarakat INOVASI: Jurnal Hasil Pengabdian Masyarakat Journal of Artificial Intelligence and Digital Business Innovative: Journal Of Social Science Research Journal of Economics, Entrepreneurship, Management Business and Accounting Jurnal Riset Rumpun Ilmu Ekonomi (JURRIE) Journal of Career Development Journal of Entrepreneur, Business and Management Ininnawa: Jurnal Pengabdian Masyarakat Prosiding Seminar Nasional Dies Natalis Universitas Negeri Makassar Journal of Innovative and Creativity Jurnal Terobosan Peduli Masyarakat (TIRAKAT) IECON: International Economics and Business Conference Jurnal Sipakatau Fundamental and Applied Management Journal Indonesian Journal of Enterprise Architecture
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Journal of Innovative and Creativity

Analisis Proses Bisnis Berbasis Data melalui Implementasi Dashboard Andi Nuralvianti; Muhammad Jamil; Valentino Aris
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.4524

Abstract

The study purpose was to implement a data dashboard as a decision-support tool for analyzing business processes at KPRI Mart. The research addressed two main objectives: to design a data dashboard that aligns with business analysis needs and to evaluate its effectiveness in supporting managerial decision-making. The implementation of a digital dashboard represents an essential step toward enhancing data-driven decision-making and improving operational efficiency within modern retail cooperatives. Materials and methods. This study employed a Research and Development (R&D) approach and adopted the Software Development Life Cycle (SDLC) model as the framework for system development. The dashboard was developed using Microsoft Power BI, chosen for its ability to integrate multi-source data and provide interactive visualizations. The dataset used consisted of three years of historical sales data (2022–2024) from KPRI Mart. Functional validation was conducted through the Black Box Testing method to ensure that all interactive features and visualization components performed according to the design specifications. Results. The developed dashboard successfully visualized key business metrics, including monthly sales trends, total units sold, and total sales values. These visualizations enabled store coordinators to interpret business performance more efficiently and respond to sales dynamics more strategically. The Black Box Testing results confirmed that all dashboard functions operated properly and aligned with user requirements. Conclusions. The findings indicate that the implemented dashboard enhances business process analysis by providing real-time, accurate, and informative data visualizations. This contributes to more efficient and data-driven managerial decision-making. The study highlights the importance of digital transformation through Business Intelligence tools to help cooperative organizations remain adaptive and competitive in a continuously evolving economic environment.
Implementation of Business Intelligence in Analyzing Consumer Behavior: A Study of the Property Business Muh. Ibnu Mibun; Muhammad Rakib; Valentino Aris
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.4657

Abstract

This study aims to analyze the implementation of business intelligence in understanding consumer behavior. Research data were collected through observation, interviews, and documentation, then processed using clustering techniques based on the K-Means algorithm and visualized through an analytics dashboard using Microsoft Power Business Intelligence. The research method employed is Research and Development (R&D) with the 4D model (Define, Design, Develop, Disseminate). This study integrates customer relationship management and machine learning as tools to manage, analyze, and visualize consumer behavior data. The results indicate that the application of business intelligence can group consumers into eight clusters based on behavioral patterns and transaction characteristics. The resulting analytics dashboard assists property management in making strategic decisions more efficiently. Furthermore, the use of business intelligence has been proven to enhance effectiveness in understanding consumer preferences, optimizing data management, and supporting marketing strategies. This study recommends implementing data-driven technology to increase the company’s competitiveness amid increasingly intense business competition.
Perancangan Sistem Informasi Wisata Kuliner Berbasis Website di Kota Makassar Sebagai Media Promosi dan Informasi Muhammad Reza Zadillah Putra; Valentino Aris; Muhammad Jamil
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

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

Abstract

The problem addressed in this study is the lack of comprehensive and clear culinary tourism information media in Makassar City. This study aims to design a website as an information medium for tourists and as a promotional medium for culinary businesses. Using the Research and Development (R&D) method with the ADDIE model. Validation results by three validators showed that all tested features functioned properly. Evaluation using the System Usability Scale (SUS) yielded a score of 81.41, indicating a good level of usability.
Rancang Bangun Lettekost.id Sebagai Sistem Infromasi Kost Berbasis Website Di Kota Makassar Ahmad Salman; Muhammad Jamil; Valentino Aris
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

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

Abstract

The development of digital technology is driving digital transformation in various sectors, including the provision of housing search services such as boarding houses. This research aims to design and implement a website-based boarding house search information system, Lettekost.id. The method used is Research and Development (R&D) with the Design Thinking development model (emphasize, define, ideate, prototype, test). Validation results by three validators indicate that the tested features function well. Evaluation using the System Usability Scale (SUS) resulted in a score of 83, indicating a good level of usability.
Co-Authors ADAWIYAH ASTI KHALIL Ahmad Salman Akram, Andi Muhammad Luthfi Al Fadila, Nadila Al Resky, Muh. Ibnu Ammar Alamsyah, Adelya Putri Amaluddin Fatih Ghurron Amin, Putri Rabiatul Adha Andi Nur Baumassepe Andi Nuralvianti Andi Ruslan Andika Isma Anggi Kemalasari Arief, Nur Haliza A. Arini Lestari Aris Aris, Arini Lestari Ashdaq, Muh. Ashdaq, Muhammad Asizah, Andi Balqis Mutiara Asmayanti Asmayanti ASMAYANTI, ASMAYANTI Asmirani, Sri Azisah, Andi Balqis Mutiara Aziza, Andi Nurfadilla Bambang Irawan Corrs, Anaway Alnajah Fadlurahman, Hannan Fajar, Andi Faiha Alya Fitriyah R, Ulfah Hamzah, Qardawi Haris Maupa Hermanto, Andi Hidayat, Muhammad Akmal Husni Mubarak Islamiah, Farida Jamil, Muh. Jufri, Muh. Anugrah Julius Jillbert Kemalasari, Andi Anggi Lestari, Arini Lindasari, Lindasari Mandasari, Nur Fitriayu Masud Mubarak, Muhammad Fadel Muflih Ramadani, Rizky Inayah Muh. Ibnu Mibun Muh. Jamil Muh. Jamil Muhamad, Lili Fadli Muhammad Ashdaq Muhammad Ashdaq Muhammad Jamil Muhammad JAMIL Muhammad Jamil Muhammad Jufri Muhammad Rakib Muhammad Rakib Muhammad Rakib Muhammad Reza Zadillah Putra Muhammad Syarif, Muhammad Muhammad Taufik Muhammad Taufik MUHAMMAD TAUFIK Muhammad, Fadil Najib, Marhawati Nandita, Nandita Ningsih, Selly Kudrati Novita Nugroho, Bambang Prihantoro Nur Fitriayu Mandasari Nur Salam Nurfadillah, Rezky Nurfitriayu Mandasari Nurhaliza, Siti Rahma Prameswari, Gusti Ayu Sri Adinda Pratiwi, Dwi Apriani Raden Mohamad Herdian Bhakti Rahmatillah, Andi Aisyiah Rahmatullah Rezky Nurfadillah Rina Amelia Rizal Bakri Ruslan, Andi Rusmiati Rusdam Salombe, Stefan Novaldi Sobirov, Bobur Sri Asmirani Suherlan Sumiati Tahir Syahrif, Airul Syahrul Syahrul Syam, Agus Syamsu Alam SYAMSU ALAM Tahir, Sumiati Taufiq, Maura Sabrina Zaid, Nurmalianti