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Perancangan Aplikasi CRM Terintegrasi AI dalam Segmentasi Pelanggan Untuk Optimalisasi Strategi Pemasaran (Studi Kasus Pada Nichoa Chocolate) Asizah, Andi Balqis Mutiara; Alam, Syamsu; Aris, Valentino
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.7056

Abstract

Transformasi digital mendorong organisasi, termasuk Usaha Mikro, Kecil, dan Menengah (UMKM), untuk memanfaatkan teknologi dalam meningkatkan efektivitas pengelolaan pelanggan dan strategi pemasaran. Nichoa Chocolate sebagai UMKM di bidang produk cokelat sehat masih menghadapi kendala dalam pengelolaan data pelanggan yang belum terintegrasi serta proses segmentasi pelanggan yang masih dilakukan secara manual. Penelitian ini bertujuan untuk merancang aplikasi Customer Relationship Management (CRM) yang terintegrasi dengan Artificial Intelligence (AI) untuk melakukan segmentasi pelanggan dan mendukung optimalisasi strategi pemasaran. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model pengembangan ADDIE yang terdiri dari tahap analysis, design, development, implementation, dan evaluation. Segmentasi pelanggan dilakukan menggunakan metode Recency, Frequency, Monetary (RFM) untuk mengelompokkan pelanggan berdasarkan waktu terakhir transaksi, frekuensi pembelian, dan nilai transaksi. Sistem yang dikembangkan berupa aplikasi CRM berbasis web yang dilengkapi fitur manajemen data pelanggan, pencatatan transaksi, perhitungan skor RFM otomatis, segmentasi pelanggan, serta dashboard analitik. Integrasi AI dalam sistem memungkinkan analisis pola transaksi pelanggan dan menghasilkan rekomendasi strategi pemasaran yang lebih tepat sasaran. Hasil pengujian menggunakan metode Black Box Testing menunjukkan bahwa seluruh fitur sistem berjalan sesuai dengan fungsi yang dirancang. Implementasi sistem ini mampu mengelola data pelanggan secara terpusat, menghasilkan segmentasi pelanggan yang informatif, serta mendukung pengambilan keputusan pemasaran berbasis data. Dengan demikian, aplikasi CRM berbasis AI yang dikembangkan dinilai efektif dalam meningkatkan efisiensi pengelolaan pelanggan serta membantu UMKM dalam mengoptimalkan strategi pemasaran secara lebih terarah.
Customer Segmentation with AI-Based Customer Relationship Management for Effective Marketing of Nichoa Chocolate MSMEs Asizah, Andi Balqis Mutiara; Aris, Valentino; Isma, Andika; Masud; Rahmatillah, Andi Aisyiah
Indonesian Journal of Enterprise Architecture Vol. 3 No. 1 (2026): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v3i1.191

Abstract

This study aims to design and evaluate an AI-integrated Customer Relationship Management (CRM) application to support marketing decision-making at Nichoa Chocolate SMEs. Initial problems include inconsistent customer data recording, transactions that are not yet connected to analytics, limited data dashboards, and the absence of customer segmentation, resulting in marketing strategies that tend to be unsuitable for business needs. The system was developed using a Research and Development approach based on the ADDIE model. The built system integrates transaction data with RFM analysis to generate measurable customer mapping and more targeted marketing strategy recommendations. The analysis results showed that the recency value was dominated by new and nearly lost customer segments, so the recommended strategy emphasised a retention-first approach through the reactivation of passive customers, regular communication, and personalised offers, accompanied by efforts to convert new customers to make repeat purchases. The system evaluation showed that all functional test scenarios were successful, usability was rated as good through demonstrations and interviews, and the application performance was very high. These findings confirm that AI-integrated RFM-based CRM is suitable for strengthening SME marketing in a more targeted and measurable manner.
Analyzing Digital Marketing in Indonesia Online Transportation Sector: A Social Network, Sentiment, and Topic Analysis Aris, Valentino; Asizah, Andi Balqis Mutiara
Fundamental and Applied Management Journal Vol. 4 No. 1 (2026): Fundamental and Applied Management Journal
Publisher : Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/famj.v4i1.190

Abstract

This study aims to evaluate the effectiveness of Grab’s digital marketing strategy in Indonesia’s online transportation sector using a Social Media Network Analysis approach. Data were collected from the social media platform X (formerly Twitter) through web scraping of relevant hashtags and keywords, followed by cleaning to remove irrelevant content. The analysis, conducted using Gephi, examined network structure through metrics such as degree centrality, betweenness centrality, closeness centrality, modularity, and community detection. Results reveal that @grabid is the primary conversation hub with high degree centrality, indicating dominance in information dissemination. The network exhibits two major communities, centered on Grab and Gojek, reflecting narrative competition in the industry. Modularity analysis (score = 0.438) indicates moderately distinct communities, presenting opportunities for targeted marketing. Betweenness centrality findings highlight a small number of strategic connectors, while closeness centrality suggests efficient network connectivity with a small-world property. These insights underscore the potential of SNA to identify key influencers, optimize message dissemination, and strengthen brand positioning. Content analysis revealed that the majority of consumer discussions carried a positive sentiment. The study contributes to digital marketing literature by demonstrating SNA’s utility in mapping brand-related social media interactions and offers practical recommendations for data-driven campaign strategies.
Perancangan Website Sissenrekang Sebagai Media Promosi dan Sistem Informasi Wisata Alam Kabupaten Enrekang Amelia, Rina; Jamil, Muhammad; Aris, Valentino
Jurnal Riset Rumpun Ilmu Ekonomi Vol. 5 No. 1 (2026): April: Jurnal Riset Rumpun Ilmu Ekonomi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrie.v5i1.7990

Abstract

This study aims to develop the sissenrekang.com website as a promotional medium for tourism in Enrekang Regency. The development was carried out using the WordPress CMS with the Research and Development (R&D) research method and the Four-D model (Define, Design, Develop, Disseminate), starting from the needs analysis stage, design, sketching, to creating a digital mockup. The functional validation results obtained a score of 100%, indicating full system feasibility. Further evaluation through Functional Suitability Analysis, Guttman Scale, and System Usability Scale (SUS) resulted in a score of 81.375, indicating a high level of feasibility and comfort of use. This website is expected to provide benefits for managers, facilitate access to information for users, and contribute to supporting the promotion and development of tourism in Enrekang Regency.
Perancangan Website untuk Meningkatkan Brand Awareness dan Penjualan : Studi Kasus pada UMKM Taste.ki Zaid, Nurmalianti; Jamil, Muhammad; Aris, Valentino
Jurnal Riset Rumpun Ilmu Ekonomi Vol. 5 No. 1 (2026): April: Jurnal Riset Rumpun Ilmu Ekonomi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrie.v5i1.8086

Abstract

Taste.ki MSME, a café in Makassar, faces challenges from intense competition and an suboptimal digital marketing strategy, relying only on Instagram without a consistent content strategy. This study aims to design a website integrated with Instagram to strengthen Brand Awareness and increase sales. The research employed the Four-D method (Define, Design, Develop, Disseminate), and the website was designed using the Wordpress CMS. The results indicate that the website design was successfully implemented. The integration of the website with Instagram significantly improved Brand Awareness, evidenced by a Brand Recognition achievement of 88% and Brand Recall of 94%. Furthermore, this digital strategy positively impacted Taste.ki MSME's sales, showing an increase of 79.20%. This improvement confirms the crucial role of a website as an information hub and conversion channel in an MSME's digital marketing strategy to compete effectively in the digital era.
The Impact of AI Adoption on Customer Perceived Value, Satisfaction, and Loyalty in Social Commerce Aris, Valentino; Sobirov, Bobur; Maupa, Haris; Ruslan, Andi; Lestari, Arini
Studi Akuntansi, Keuangan, dan Manajemen Vol 5 No 4 (2026): April
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/sakman.v5i4.6263

Abstract

Purpose: This study investigates how AI-based personalization, marketing analytics capability, and perceived privacy assurance influence customer loyalty in social commerce and whether these effects operate through perceived value and customer satisfaction. Research Methodology: A cross-sectional online survey was administered to 510 active social commerce users in South Sulawesi, Indonesia, to collect data. The hypothesized relationships and mediation effects were examined using PLS-SEM. Results: AI-based personalization significantly increased customer satisfaction and loyalty but had no significant effect on perceived value. Marketing analytics capability significantly strengthens perceived value; however, it has no significant direct effect on satisfaction or loyalty. Perceived privacy assurance positively affects perceived value, satisfaction, and loyalty. Both perceived value and customer satisfaction significantly enhance the loyalty. The mediation results indicate that marketing analytics capabilities indirectly strengthen loyalty via perceived value, whereas privacy assurance strengthens loyalty via both perceived value and customer satisfaction. AI-based personalization primarily drives loyalty through customer satisfaction. Conclusions: Customer loyalty in AI-enabled commerce is reinforced through complementary cognitive and affective pathways. Limitations: The findings are constrained by the cross-sectional design, self-reported data, and single-region sample. In addition, the privacy construct reflects assurance-oriented perceptions rather than anxiety. Contributions: This study clarifies the distinct roles and indirect mechanisms through which personalization, analytics capabilities, and privacy perceptions shape loyalty in social commerce.
Implementasi Website Profil UPT SPF SD Negeri Mamajang 1 sebagai Media Informasi Nur Haliza A. Arief; Muhammad Taufik; Valentino Aris
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.7839

Abstract

Ketersediaan media informasi digital menjadi kebutuhan penting bagi sekolah dalam menyampaikan informasi secara cepat, akurat, dan mudah diakses oleh masyarakat. UPT SPF SD Negeri Mamajang 1 Makassar belum memiliki website profil resmi yang terintegrasi sehingga penyampaian informasi masih terbatas pada media konvensional dan belum optimal dalam menjangkau orang tua, calon peserta didik, serta masyarakat umum. Penelitian ini bertujuan untuk mengimplementasikan website profil sekolah sebagai media informasi berbasis digital yang mampu mendukung publikasi profil, kegiatan, fasilitas, prestasi, dan layanan sekolah secara lebih efektif. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model pengembangan ADDIE yang meliputi tahap Analysis, Design, Development, Implementation, dan Evaluation. Website dikembangkan menggunakan Content Management System (CMS) WordPress dengan struktur menu berisi profil, akademik, fasilitas, galeri, portal alumni, PPDB, berita, dan kontak. Evaluasi dilakukan melalui pengujian fungsional menggunakan Black Box Testing serta evaluasi pengguna menggunakan kuesioner USE yang mencakup aspek Usefulness, Ease of Use, dan Satisfaction. Hasil evaluasi menunjukkan bahwa seluruh fitur website berfungsi dengan baik dan dinyatakan valid oleh validator ahli dan pengguna. Selain itu, hasil kuesioner USE terhadap 80 responden memperoleh nilai modus 5 pada seluruh dimensi, yang termasuk dalam kategori sangat baik. Hasil penelitian ini menunjukkan bahwa website profil yang diimplementasikan mampu berfungsi efektif sebagai media informasi sekolah, meningkatkan aksesibilitas informasi, mempermudah komunikasi, memperluas jangkauan promosi, serta memberikan kepuasan bagi pengguna dan mendukung pengelolaan informasi secara berkelanjutan oleh pihak sekolah di era digital.
Du Pont System Inside Measuring the Financial Performance of Food and Beverages Companies on the Indonesian Stock Exchange Arini Lestari Aris; Valentino Aris; Siti Rahma Nurhaliza
Journal of Economics, Entrepreneurship, Management Business and Accounting Vol 1 No 2 (2023): Volume 1, Issue 2, May-August 2023
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.879 KB) | DOI: 10.61255/jeemba.v1i2.65

Abstract

This study aims to find out Du Pont System in measuring the financial performance of Food and Beverages. The research sample is 18 Food and Beverages listed on the Indonesia Stock Exchange (IDX) in 2018-2020. Data collection is done by searching secondary data. Research results show the average change in NPM in the Food and Beverages industry in 2019 and 2020 is 1.52% and 0.8%. The average development of Total Assets Turn Over in the Food and Beverages industry in 2019 amounted to -0.03% and in 2020, it was 0.19%. And the company's financial performance based on the analysis of the Du Pont System method in the Food and Beverages industry in 2018-2020. Seen from the change in the average Return on Investment in 2019 of 1.59% and in 2020 by -3.91%. Rating The company's financial performance based on the analysis of the Du Pont System method in the Food and Beverages industry in 2012-2014. Judging from the value of Return on Investment PT. Multi Bintang Indonesia Tbk is ranked 1st in 2018-2019 with a Return On Investment value in 2018 of 42.39%, 2019 of 41.63%, and for 2020 rank 1 belongs to PT. Siantra Top Tbk with a Return On Investment value of 18.23%. Meanwhile PT. Sekar Bumi Tbk is ranked 18th with a Return on Investment value of 0.9% in 2018 and 0.05% in 2019. And in 2020 with a Return On Investment value of 0.31%.
PENGEMBANGAN PEMASARAN DIGITAL MELALUI SISTEM INFORMASI BERBASIS WEBSITE SERTA MEDIA SOSIAL PADA UMKM SOSOXEWA BIBIT BUAH MAKASSAR Rizky Inayah Muflih Ramadani; Muhammad Ashdaq; Valentino Aris
KINDAI Vol 22 No 1 (2026): KINDAI
Publisher : JURNAL KINDAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35972/kindai.v22i1.2570

Abstract

Abstract: This study aims to develop a website-based information system integrated with social media to increase the promotional effectiveness of the Sosoxewa Bibit Buah Makassar MSME. Observations show that most MSMEs only utilize social media separately without the support of a website-based information system, which results in suboptimal access to product information and business credibility in Makassar City. The method used is Research and Development (R&D) with the ADDIE model, which includes the stages of analysis, design, development, implementation, and evaluation. The website was developed as a product catalog and business information center integrated with a Facebook business page. Evaluation was carried out using the System Usability Scale (SUS) and digital marketing metric analysis. The results showed a SUS score of 81.43, which is in the good category, where the SUS score range is 0-100. Digital performance data also showed an increase in visibility, with 12,693 organic content impressions, 1,664 clicks to the website, and an engagement rate of 5.3%. These findings indicate that integrating a website-based information system with a social media strategy is effective in increasing promotional reach and ease of access to MSME product information. Keywords: ADDIE; digital marketing; MSME; social media; website-based information system
Co-Authors ADAWIYAH ASTI KHALIL Ahmad Salman Airul Syahrif 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 Arini Lestari Aris 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 Muh. Ibnu Mibun Muh. Jamil Muh. Jamil Muhamad, Lili Fadli Muhammad Ashdaq 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 Haliza A. Arief Nur Salam Nurfadillah, Rezky Nurfitriayu Mandasari Prameswari, Gusti Ayu Sri Adinda Pratiwi, Dwi Apriani Raden Mohamad Herdian Bhakti Rahmatillah, Andi Aisyiah Rahmatullah Rezky Nurfadillah Rina Amelia Rizal Bakri Rizky Inayah Muflih Ramadani Ruslan, Andi Rusmiati Rusdam Salombe, Stefan Novaldi Siti Rahma Nurhaliza Sobirov, Bobur Sri Asmirani Suherlan Sumiati Tahir Syahrul Syahrul Syam, Agus Syamsu Alam SYAMSU ALAM Tahir, Sumiati Taufiq, Maura Sabrina Zaid, Nurmalianti