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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) Jurnal Pengabdian Masyarakat Multidisiplin Yumary: Jurnal Pengabdian kepada Masyarakat ARRUS Journal of Social Sciences and Humanities Bulletin of Economic Studies (BEST) Jurnal Abdimas Ekonomi dan Bisnis Jurnal Abdi Masyarakat Indonesia Journal Automation Computer Information System (JACIS) 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 Jurnal Manajemen dan Bisnis 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 Beru'-beru': Jurnal Pengabdian kepada Masyarakat 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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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
PELATIHAN DAN PENDAMPINGAN PEMASARAN DIGITAL PADA UMKM MUDEENA FOOD DI KOTA MAKASSAR Andi Balqis Mutiara Asizah; Valentino Aris; Muhammad Taufik; Andi Ruslan; Muhammad Qardawi Hamzah; Sri Asmirani
Jurnal Pengabdian Masyarakat Multidisiplin Vol 9 No 1 (2025): Oktober
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v9i1.6778

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play an important role in Indonesia’s economy, yet many still struggle to adapt to digital transformation, particularly in marketing and sales. This Community Service Program (PKM) partnered with Mudeena Food, a food-and-beverage MSMEs in Makassar, to train and mentor the implementation of digital marketing strategies via Instagram. The activities were designed in several stages, starting with needs analysis, training design, content production, mentoring and content dissemination, and evaluation. Over three months, the team helped develop a structured content plan, produce engaging visual and video materials, and manage Instagram features such as Feeds, Reels, and Stories. Performance data refer to Meta Analytics Dashboard for the most recent three-month period, extracted in September 2025. The results show substantial improvements: impressions increased by 411%, reach by 122.8%, content interactions by 937.3%, and profile visits by 221%; the partner’s account also gained 91 new followers. These outcomes compare very favorably with the previous period, which recorded interactions, reach, and visits at around 25%. These achievements confirm that consistent, creative content, supported by an appropriate strategy, can enhance brand awareness and audience engagement while opening opportunities for sales growth. Beyond quantitative outcomes, the program improved the partner’s digital literacy and skills, enabling more independent management of social media marketing. Thus, digital marketing training and mentoring for MSMEs not only drive visibility and competitiveness but also strengthen business sustainability in the digital era.  
GeoApotek untuk Pemetaan Celah Pasar dan Penentuan Lokasi Strategis Jaringan Apotek Kota Makasar Siti Faradiba Anwar; Syamsu Alam; Valentino Aris
Journal Automation Computer Information System Vol. 6 No. 2 (2026): November (In Progress Issue)
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jacis.v6i2.196

Abstract

Ketimpangan distribusi apotek di Kota Makassar menunjukkan bahwa pertumbuhan fasilitas farmasi belum sepenuhnya sejalan dengan kebutuhan masyarakat. Beberapa wilayah mengalami konsentrasi apotek yang tinggi, sedangkan wilayah lain masih memiliki keterbatasan akses terhadap layanan farmasi. Penelitian ini bertujuan mengembangkan WebGIS GeoApotek sebagai sistem pemetaan celah pasar dan pendukung penentuan lokasi strategis jaringan apotek. Metode yang digunakan adalah Research and Development dengan model ADDIE yang meliputi tahap analysis, design, development, implementation, dan evaluation. Sistem dikembangkan menggunakan data spasial dan nonspasial yang dianalisis melalui pendekatan network analysis, overlay difference, serta pembobotan kriteria menggunakan Analytical Hierarchy Process (AHP). Pengujian fungsional dilakukan menggunakan black box testing untuk memastikan seluruh fitur berjalan sesuai rancangan. Hasil penelitian menunjukkan bahwa GeoApotek mampu mengidentifikasi distribusi apotek, wilayah yang belum terlayani, dan celah pasar, serta menghasilkan rekomendasi lokasi strategis secara interaktif. Hasil black box testing menunjukkan seluruh fitur berfungsi dengan baik, sedangkan pembobotan AHP menghasilkan nilai konsistensi yang memenuhi kriteria. Kepadatan penduduk dan kedekatan dengan rumah sakit menjadi faktor yang paling berpengaruh dalam penentuan lokasi strategis. Dengan demikian, GeoApotek dapat mendukung pengambilan keputusan lokasi jaringan apotek secara lebih objektif dan berbasis data untuk mendukung ekspansi bisnis sekaligus pemerataan akses layanan farmasi
Model Bisnis Website Rekomendasi Perjalanan Berbasis Sistem Multi Agen Rafael Simson Riston; Muhammad Jamil; Valentino Aris
Journal Automation Computer Information System Vol. 6 No. 2 (2026): November (In Progress Issue)
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jacis.v6i2.201

Abstract

Perencanaan perjalanan internasional masih menghadapi kendala akibat fragmentasi informasi dan information overload yang menghambat pengambilan keputusan wisatawan. Penelitian ini bertujuan mengembangkan DrTrips, website rekomendasi perjalanan berbasis Multi Agent System (MAS) dan Large Language Model (LLM), serta merumuskan model bisnisnya. Penelitian menggunakan metode Research and Development (R&D) model 4D yang meliputi Define, Design, Develop, dan Disseminate. Sistem dikembangkan dengan arsitektur Orchestrator–Workers yang terdiri atas satu agen orkestrasi dan empat agen spesialis untuk mengelola destinasi, logistik, regulasi perjalanan, dan penyusunan itinerary. Hasil Black-box Testing pada 15 skenario menunjukkan tingkat keberhasilan 100%. Evaluasi menggunakan 180 skenario TravelPlanner menghasilkan Final Pass Rate 48,9%, lebih tinggi dibandingkan konfigurasi single-agent, sedangkan evaluasi usabilitas menggunakan USE Questionnaire memperoleh skor 86,85% dalam kategori Sangat Bermanfaat. Model bisnis disusun menggunakan Lean Canvas dan divalidasi melalui Cost Benefit Analysis berbasis Discounted Cash Flow selama lima tahun yang menghasilkan NPV sebesar Rp2,7 miliar, BCR 1,21, IRR 50,44%, dan Discounted Payback Period 48 bulan. Dalam cakupan evaluasi dan asumsi yang digunakan, hasil penelitian menunjukkan bahwa integrasi MAS dan LLM tidak hanya meningkatkan kualitas rekomendasi perjalanan, tetapi juga mendukung pengembangan platform yang layak secara teknis dan memiliki prospek bisnis yang positif
Analyzing Digital Marketing in Indonesia Online Transportation Sector: A Social Network, Sentiment, and Topic Analysis Valentino Aris; Andi Balqis Mutiara Asizah
Fundamental and Applied Management Journal Vol. 4 No. 1 (2026): March
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.
Customer Segmentation with AI-Based Customer Relationship Management for Effective Marketing of Nichoa Chocolate MSMEs Andi Balqis Mutiara Asizah; Valentino Aris; Andika Isma; Masud; Andi Aisyiah Rahmatillah
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.
Community Service as a Driving Force for MSME Empowerment in a Sustainable Economic Ecosystem Bambang Irawan; Suherlan; Valentino Aris
Tirakat: Jurnal Terobosan Peduli Masyarakat Vol 3 No 1 (2026): January 2026
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/j.tirakat.v3i1.322

Abstract

Community service is one of the strategic pillars of the higher education Tri Dharma that holds significant potential in promoting the empowerment of Micro, Small, and Medium Enterprises (MSMEs) as the foundation of a sustainable economic ecosystem. This study aims to expand and enrich scholarly references on community service by examining its role as a driving force for MSME empowerment within the framework of sustainable economic development. The research employs a literature review method using a qualitative approach and descriptive analysis. Data were collected from Google Scholar and selected credible websites, covering publications from 2014 to 2026. Of the 50 articles initially identified, a rigorous selection process based on relevance, methodological quality, and source credibility resulted in 31 articles being analyzed further. The findings indicate that community service significantly contributes to enhancing MSME capacity through the strengthening of human capital, social capital, business innovation, and the integration of economic, social, and environmental sustainability principles. This study confirms that community service functions as a strategic instrument in building an inclusive, resilient, and sustainable MSME ecosystem.
Transforming Competitive MSMEs through Community Engagement: Integrating Digital Technology and Local Wisdom Suherlan; Lili Fadli Muhamad; Valentino Aris
Tirakat: Jurnal Terobosan Peduli Masyarakat Vol 3 No 1 (2026): January 2026
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/j.tirakat.v3i1.325

Abstract

This study aims to examine the transformation of competitive Micro, Small, and Medium Enterprises (MSMEs) through community engagement, with a particular emphasis on the integration of digital technology and local wisdom. The research employs a literature review method using a qualitative approach and descriptive analysis of 29 selected scientific articles published between 2021 and 2025. Data sources were obtained from Google Scholar and various credible websites relevant to community engagement and MSME development. The findings indicate that community engagement plays a strategic role as an empowerment instrument capable of bridging the gap between academic innovation and the practical needs of MSMEs. The integration of digital technology has been proven to enhance business efficiency and market expansion, while local wisdom functions as a source of differentiation and product identity that strengthens competitiveness. However, the success of MSME transformation is highly dependent on the sustainability of mentoring, the suitability of technology to the capacity of business actors, and sensitivity to the socio-cultural context. This study is expected to contribute to the academic literature on community engagement and serve as a conceptual foundation for policy formulation and sustainable MSME empowerment practices.
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.
PROYEKSI WAKTU POTENSIAL UNTUK BERINVESTASI MENGGUNAKAN ALGORITMA LONG SHORT-TERM MEMORY Muhammad Fadel Mubarak; Marhawati Najib; Valentino Aris
Journal of Information System Management (JOISM) Vol. 7 No. 2 (2026): Januari
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2026v7i2.2400

Abstract

Penelitian ini bertujuan untuk memproyeksikan kondisi makroekonomi Indonesia pada periode 2025–2029 serta merumuskan strategi investasi yang relevan berdasarkan hasil forecasting menggunakan algoritma Long Short-Term Memory (LSTM). Tiga indikator ekonomi utama yang dianalisis meliputi tingkat suku bunga (Interest Rate), inflasi (Consumer Price Index), dan ketenagakerjaan (Non-Farm Payroll). Data historis bulanan dari tahun 1970 hingga 2023 digunakan untuk melatih model LSTM, yang kemudian menghasilkan prediksi nilai ketiga indikator tersebut secara tahunan. Hasil forecasting menunjukkan tren penurunan suku bunga dan inflasi secara bertahap, serta pertumbuhan ketenagakerjaan yang meningkat dari tahun ke tahun. Berdasarkan hasil tersebut, strategi investasi disusun secara dinamis, menyesuaikan kondisi ekonomi makro pada setiap tahunnya. Strategi yang disarankan mencakup pendekatan konservatif pada awal periode (2025–2026) dan lebih agresif pada fase ekspansi ekonomi (2028–2029). Penelitian ini menunjukkan bahwa penggunaan model LSTM dapat membantu investor dalam menyusun keputusan investasi yang lebih tepat, berbasis pada proyeksi data makroekonomi yang akurat dan terukur.
Co-Authors Abdullah Reza Fatur Rahman Ahmad Kurnia Ahmad Salman Airul Syahrif Akram, Andi Muhammad Luthfi Al Fadila, Nadila Al Resky, Muh. Ibnu Ammar Alamsyah, Adelya Putri Amalia Putri Amaluddin Fatih Ghurron Amin, Putri Rabiatul Adha Andi Aisyiah Rahmatillah Andi Balqis Mutiara Asizah Andi Balqis Mutiara Asizah Andi Nur Baumassepe Andi Nuralvianti Andi Ruslan Andi Ruslan Andi Ruslan Andika Isma Anggi Kemalasari Arini Lestari Arini Lestari Aris Arini Lestari Aris Aris, Arini Lestari Ashdaq, Muh. Asizah, Andi Balqis Mutiara Asmayanti Asmayanti ASMAYANTI, ASMAYANTI Azisah, Andi Balqis Mutiara Aziza, Andi Nurfadilla Bambang Irawan Bobur Sobirov Corrs, Anaway Alnajah Fadlurahman, Hannan Fajar, Andi Faiha Alya Farida Islamiah Fitriyah R, Ulfah Haris Maupa Hermanto, Andi Hidayat, Muhammad Akmal Husni Mubarak Husni Mubarak Islamiah, Farida Jamil, Muh. Jufri, Muh. Anugrah Julius Jillbert Kemalasari, Andi Anggi Lili Fadli Muhamad Lindasari, Lindasari Mandasari, Nur Fitriayu Marhawati Masud Melly Ananda Dwi Aprilia Muh Jamil Muh. Ibnu Mibun Muh. Jamil Muh. Jamil Muhammad Ashdaq Muhammad Fadel Mubarak Muhammad JAMIL Muhammad Jamil Muhammad Jamil Muhammad Jamil Muhammad Jufri Muhammad Qardawi Hamzah Muhammad Rakib Muhammad Rakib Muhammad Rakib Muhammad Reza Zadillah Putra Muhammad Syarif, Muhammad Muhammad Taufik Muhammad Taufik MUHAMMAD TAUFIK Muhammad, Fadil Mujahidin Mujahidin Najib, Marhawati Nandita, Nandita Ningsih, Selly Kudrati Nola Sofian Novita Nugroho, Bambang Prihantoro Nur Fitriayu Mandasari 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 Rafael Simson Riston Rahmatullah Rezky Nurfadillah Rina Amelia Rizal Bakri Rizal Bakri Rizky Inayah Muflih Ramadani Ruslan, Andi Salombe, Stefan Novaldi Siti Faradiba Anwar Siti Rahma Nurhaliza Sobirov, Bobur Sri Asmirani Suherlan Sumiati Tahir Syahrul Syahrul Syam, Agus Syamsu Alam SYAMSU ALAM Tahir, Sumiati Taufiq, Maura Sabrina Trias Abu Salam Zaid, Nurmalianti