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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
Valentino Aris
Universitas Negeri Makassar
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Du Pont System Inside Measuring the Financial Performance of Food and Beverages Companies on the Indonesian Stock Exchange Aris, Arini Lestari; Aris, Valentino; Nurhaliza, Siti Rahma
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%.
Rancang Bangun Sistem Informasi Logistik Berbasis Web pada CV. Boska Transportama Makassar Nandita, Nandita; 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.v5i1.6334

Abstract

Penelitian ini bertujuan merancang dan membangun sistem informasi manajemen logistik berbasis web pada CV. Boska Transportama Makassar untuk mengatasi pengelolaan data operasional yang masih manual, tidak terintegrasi, dan rentan menimbulkan keterlambatan administrasi serta inkonsistensi data. Sistem yang dikembangkan diberi nama SIMBOSKA dan memfasilitasi pencatatan pesanan, pengelolaan gudang, transaksi pembayaran, pemantauan pengiriman, serta pelaporan secara terpusat. Metode penelitian menggunakan Research and Development (R&D) dengan model Waterfall, melalui tahapan analisis kebutuhan, perancangan, pengembangan, pengujian, implementasi, dan evaluasi. Rancangan sistem mencakup system flow lintas divisi, use case, serta desain basis data berbasis ERD untuk menjaga konsistensi dan mengurangi redundansi. Antarmuka disusun dengan pendekatan user-centered design dan diprototipekan menggunakan Figma, lalu diimplementasikan dengan Laravel dan MySQL. Pengumpulan data dilakukan melalui wawancara, studi dokumentasi, dan kuesioner dengan responden pengguna langsung melalui purposive sampling. Selain pengujian fungsional (blackbox) dan kompatibilitas, kualitas penggunaan sistem dievaluasi melalui usability testing mengacu ISO 9241-11 yang menilai efektivitas, efisiensi, kepuasan, dan tingkat kesalahan. Hasil evaluasi menunjukkan peningkatan efektivitas dari 82% menjadi 93,5% serta peningkatan efisiensi dari 17,6% menjadi 63% setelah implementasi. Pada uji task scenario (10 tugas) selama dua minggu, rata-rata waktu penyelesaian turun dari 39,2 menit menjadi 13,8 menit dan jumlah kesalahan berkurang dari 53 menjadi 17.  Tingkat kesalahan menurun dari 35% menjadi 11%, sementara kepuasan pengguna mencapai skor rata-rata 4,7 (skala 5) dan skor usability keseluruhan 4,6 dari 5 (kategori sangat baik). Temuan ini mengindikasikan bahwa SIMBOSKA tidak hanya layak secara fungsional, tetapi juga mempercepat penyelesaian tugas, mengurangi kesalahan operasional, dan meningkatkan kinerja operasional perusahaan. 
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.
Implementasi Website Profil UPT SPF SD Negeri Mamajang 1 sebagai Media Informasi Arief, Nur Haliza A.; Taufik, Muhammad; Aris, Valentino
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.
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.
PENGEMBANGAN PEMASARAN DIGITAL MELALUI SISTEM INFORMASI BERBASIS WEBSITE SERTA MEDIA SOSIAL PADA UMKM SOSOXEWA BIBIT BUAH MAKASSAR Muflih Ramadani, Rizky Inayah; ashdaq, muhammad; Aris, Valentino
KINDAI Vol 22 No 1 (2026): KINDAI
Publisher : JURNAL KINDAI

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

Abstract

This study aims to develop a website-based information system integrated with social media to enhance the promotional effectiveness of Sosoxewa Fruit Seedling MSME in Makassar. The research employed a Research and Development (R&D) approach using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation stages. The website was developed as a product catalog and business information center integrated with a Facebook business page. Evaluation was conducted using the System Usability Scale (SUS) and digital marketing performance metrics. The results show that the website achieved a SUS score of 81.43, indicating excellent usability. Digital performance data also demonstrate increased visibility, reflected in 12,693 organic content impressions, 1,664 website clicks, and a 5.3% engagement rate. These findings suggest that integrating a website-based information system with social media strategies effectively improves promotional reach and accessibility. The study implies that structured digital integration can support sustainable marketing development for small businesses.
The Impact of AI Adoption on Customer Perceived Value, Satisfaction, and Loyalty in Social Commerce Valentino Aris; Bobur Sobirov; Haris Maupa; Andi Ruslan; Arini Lestari
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.
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 Balqis Mutiara Asizah Andi Nur Baumassepe Andi Nuralvianti Andi Ruslan Andi Ruslan Andika Isma Anggi Kemalasari Arief, Nur Haliza A. Arini Lestari 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 Bobur Sobirov 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 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 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