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Journal of Artificial Intelligence and Digital Business
Published by Universitas Pahlawan Tuanku Tambusai
ISSN : 29639298     EISSN : 2963914X     DOI : https://doi.org/10.31004/riggs.v1i1
Core Subject : Economy, Science, Engineering,
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering
Journal of Artificial Intelligence and Digital Business (RIGGS) is published by the Department of Digital Business, Universitas Pahlawan Tuanku Tambusai in helping academics, researchers, and practitioners to disseminate their research results. RIGGS is a blind peer-reviewed journal dedicated to publishing quality research results in the fields of business and engineering. All publications in the RIGGS Journal are open access which allows articles to be available online for free without any subscription. RIGGS is a national journal with e-ISSN: 2963-914X, and is free of charge in the submission process and review process. Journal of Artificial Intelligence and Digital Business (RIGGS) publishes articles periodically twice a year, in January and July.
Arjuna Subject : Umum - Umum
Articles 8,377 Documents
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Analisis Produktivitas dengan Metode American Productivity Center pada PT Kasa Husada Wira Jatim Sari, Kharisma Putri Nugita; Putri, Erni Puspanantasari
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3818

Abstract

Peningkatan produktivitas merupakan faktor fundamental dalam menjaga keberlanjutan dan daya saing industri manufaktur, khususnya pada sektor alat kesehatan yang diatur oleh regulasi ketat dan standar mutu tinggi. Penelitian ini bertujuan menganalisis tingkat produktivitas PT Kasa Husada Wira Jatim menggunakan metode American Productivity Center (APC). Metode APC dipilih karena mampu mengukur produktivitas secara komprehensif melalui pendekatan indeks produktivitas, indeks profitabilitas, dan indeks perbaikan harga. Selain itu, metode ini memungkinkan penilaian kontribusi masing-masing input tenaga kerja, material, energi, dan modal terhadap perubahan produktivitas perusahaan secara objektif dan terukur. Analisis dilakukan dengan membandingkan input dan output antarperiode menggunakan harga dasar yang konstan agar perubahan kinerja operasional dapat dievaluasi secara lebih akurat. Pendekatan ini memberikan gambaran yang jelas mengenai efektivitas penggunaan sumber daya serta dinamika produktivitas dalam proses produksi. Melalui pengukuran yang sistematis, penelitian ini diharapkan dapat menunjukkan tren produktivitas perusahaan, sekaligus mengidentifikasi area yang menjadi sumber inefisiensi maupun peluang perbaikan yang dapat ditindaklanjuti. Temuan penelitian ini juga berpotensi menjadi dasar dalam merumuskan kebijakan operasional yang lebih tepat sasaran, meningkatkan efektivitas pengendalian biaya, serta memperkuat kemampuan perusahaan dalam memenuhi permintaan pasar secara konsisten. Dengan demikian, penelitian ini memberikan kontribusi praktis bagi pengembangan strategi peningkatan produktivitas jangka panjang. Selain itu, hasilnya dapat dijadikan referensi oleh industri sejenis yang berupaya mencapai efisiensi dan efektivitas operasional secara berkelanjutan di tengah persaingan industri alat kesehatan yang semakin kompetitif.
Analisis Permasalahan dalam Sistem Pengadaan Barang dan Jasa Beserta Solusi Strategis di Rumah Sakit Pemerintah: Pendekatan Deskriptif-Kuantitatif Berbasis Studi Literatur Sistematis Muharani, Defrika; Yorismanto, Yorismanto; Hartono, Budi; Daud, Alfani Ghutsa
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3819

Abstract

Pengadaan Barang dan Jasa (PBJ) di Rumah Sakit (RS) Pemerintah, khususnya yang berstatus Badan Layanan Umum Daerah (BLUD), merupakan fungsi vital yang menentukan kualitas layanan sekaligus stabilitas finansial. Namun, berbagai penelitian menunjukkan bahwa sistem PBJ di sektor kesehatan masih menghadapi tantangan serius yang berpotensi menurunkan efektivitas operasional rumah sakit. Penelitian ini bertujuan menganalisis permasalahan PBJ di RS Pemerintah Indonesia serta merumuskan rekomendasi strategis melalui Sintesis Literatur Sistematis (SLR) dengan pendekatan Sintesis Deskriptif Kuantitatif (SDQK) terhadap publikasi ilmiah periode 2015–2025. Hasil kajian mengidentifikasi tiga klaster utama permasalahan: risiko tata kelola (agency cost), inefisiensi logistik dalam Supply Chain Management (SCM), dan hambatan proses digitalisasi. Pada aspek tata kelola, ditemukan bahwa risiko moral hazard dan lemahnya kontrol internal berdampak nyata pada keuangan, misalnya akumulasi utang RSUD di Nusa Tenggara Barat (NTB) yang mencapai Rp 247,97 miliar pada 2025. Rendahnya tingkat pengembalian kerugian negara yang hanya 28% dari total temuan Badan Pemeriksa Keuangan (BPK) sebesar Rp 4,77 miliar juga menunjukkan lemahnya akuntabilitas ex-post. Inefisiensi SCM tercermin dari dominasi biaya obat kelompok A yang mencapai 70,82% dari total biaya pengadaan, padahal hanya mencakup 5,78% dari total item obat yang digunakan. Sementara itu, hambatan digitalisasi muncul akibat kurang optimalnya penerapan Sistem Informasi Manajemen Rumah Sakit (SIMRS). Rekomendasi strategis meliputi penguatan regulasi internal BLUD, integrasi SIMRS untuk meningkatkan ketepatan forecasting SCM, serta peningkatan kompetensi SDM PBJ guna menekan risiko moral hazard pada proses digital.
The Effect of Liquidity and Leverage on Profitability with Covid 19 as a Moderating Variable Apriani, Ani; Rufiatun, Yayuk; Gulo, Yanto Nius
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 1 (2025): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i1.382

Abstract

This study aims to determine the effect of liquidity and leverage on profitability with Covid19 as a moderating variable in transportation and logistics companies. This type of research uses an associative method with a quantitative approach. The data used in this study are secondary data. The sampling technique is purposive sampling. The number of samples in this study based on the criteria obtained was 132 data for 11 periods with the Eviews 12 testing tool. The analysis technique used was panel data regression and the Sobel test. The results of this study indicate that Liquidity has an effect on Profitability; Leverage does not have a significant effect on Profitability; Covid19 moderates the effect of liquidity on Profitability; Covid19 moderates the effect of leverage on Profitability.
Understanding How Marketing Strategies Inform Consumer Purchasing Decisions: A Qualitative Inquiry at PT Poin Medika, Yogyakarta, Indonesia Sentosa, Agung Mulya; Purwoko, Purwoko; Setiawan, Zunan
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3821

Abstract

This qualitative inquiry explores how marketing strategies shape consumer purchasing decisions at PT Poin Medika in Yogyakarta, Indonesia. The study is grounded in the view that purchasing behavior is not merely a reaction to promotional cues, but a negotiated process influenced by perceptions, trust, and experiential signals embedded in everyday consumer brand interactions. As patient-oriented service industries grow increasingly competitive, understanding these subtler decision drivers becomes essential for crafting strategies that resonate authentically with local consumers. Using a qualitative descriptive design, data were gathered through semi-structured interviews with customers and key marketing personnel, complemented by on-site observations. All transcripts and field notes were coded and analyzed using NVivo to identify recurring patterns and relational themes. The NVivo analysis revealed three dominant clusters trust-anchored communication, where transparent information and empathetic tone strengthened perceived reliability; service experience cues, including staff attentiveness and perceived service efficiency, which shaped emotional comfort and purchase readiness; and value interpretation, reflecting how consumers evaluated the alignment between pricing, service quality, and personal health needs. The synthesis of these themes indicates that effective marketing at PT Poin Medika is less about persuasive tactics and more about cultivating relational assurance and meaningful service encounters. The findings suggest that marketing strategies rooted in clarity, human warmth, and consistent service delivery foster stronger purchase intentions. This study underscores the strategic importance of experiential and trust-based communication in guiding consumer decision-making within healthcare-related service contexts.
Digital Business Strategy and Artificial Intelligence as Determinants of Corporate Competitiveness in Indonesia Haryanto, Anung; Muhtadi, Muhamad Ammar
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3823

Abstract

This study investigates the influence of Digital Business Strategy (DBS) and Artificial Intelligence (AI) adoption on corporate competitiveness among companies in Indonesia. Using a quantitative, cross-sectional design, data were collected from 85 managerial respondents representing various industries through a structured questionnaire using a 5-point Likert scale. The data were processed with SPSS 25, including descriptive statistics, tests of validity and reliability, classical assumption diagnostics, and multiple linear regression. The empirical results show that both DBS and AI adoption have positive and statistically significant effects on corporate competitiveness, whether examined separately or jointly. The regression model indicates that the two predictors together explain 50.6% of the variance in competitiveness, suggesting that digital transformation constitutes an important driver of strategic performance. DBS emerges as the dominant predictor, underscoring the need to align digital initiatives with organizational goals, resources, and market positioning. AI adoption further strengthens competitiveness by supporting data-driven decision making, improving operational efficiency, and enhancing customer value creation. The findings highlight the growing importance of digital capabilities for firms seeking to sustain advantage in Indonesia’s dynamic, technology-intensive business environment and provide practical insights for managers and policymakers aiming to accelerate digital transformation in emerging markets. Future studies may extend this work by using larger samples, additional performance indicators, and comparative settings across countries or sectors.
Tren Penelitian Artificial Intelligence dalam Manajemen dan Bisnis Digital di Indonesia: Analisis Bibliometrik 2015–2024 Judijanto, Loso
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3824

Abstract

Studi ini menggunakan pendekatan bibliometrik berdasarkan publikasi yang terindeks Scopus pada periode 2015–2024 untuk mengevaluasi perkembangan penelitian tentang kecerdasan buatan dalam manajemen dan bisnis digital di Indonesia. Data dianalisis menggunakan berbagai indikator bibliometrik, seperti tren jumlah publikasi dan sitasi, pola kata kunci, serta struktur jaringan kolaborasi penulis dan afiliasi. Hasil analisis co-occurrence kata kunci menunjukkan bahwa artificial intelligence, transformasi digital, dan pembelajaran mesin merupakan tema sentral yang menghubungkan berbagai topik lain dalam literatur. Visualisasi overlay juga mengindikasikan pergeseran fokus riset dari kajian infrastruktur dan kesiapan teknologi menuju aplikasi berbasis digital, termasuk digital marketing, model bisnis digital, dan pengambilan keputusan berbasis data. Selain itu, peta jejaring penulis dan institusi memperlihatkan bahwa lanskap riset bersifat multidisipliner, global, dan tumbuh pesat, yang diperkuat oleh intensitas kolaborasi internasional. Studi ini turut mengidentifikasi topik-topik yang mulai mengemuka, seperti tata kelola dan etika pemanfaatan AI, integrasi AI dalam UMKM, serta kaitannya dengan keberlanjutan bisnis. Temuan ini memberikan gambaran yang lebih komprehensif mengenai peta ilmu, kesenjangan riset, dan peluang pengembangan kajian di masa depan, khususnya terkait penguatan riset lokal, pembangunan kapasitas peneliti, dan pemanfaatan kecerdasan buatan dalam praktik manajemen dan industri di Indonesia. Implikasi praktisnya dapat menjadi rujukan bagi pembuat kebijakan, dunia usaha, dan komunitas akademik dalam merancang strategi pengembangan ekosistem riset dan inovasi AI yang lebih inklusif.
Analisis Kelayakan Bisnis Usaha Mikro Kecil dan Menengah (UMKM) Abon Ikan Salem Ditinjau Dari Aspek Finansial Sutrisno, Sutrisno
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3825

Abstract

Tujuan dari penelitian ini adalah untuk melakukan analisis kelayakan bisnis Usaha Mikro Kecil dan Menengah (UMKM) yang bergerak dibidang pengolahan produk perikanan yang memproduksi abon ikan salem yang ditinjau dari aspek finansial. Metode yang digunakan pada penelitian ini yaitu menggunakan rancangan penelitian kuantitatif yang digunakan untuk menentukan nilai kelayakan finansial dengan indikator penilaian kelayakan finansial yaitu Benefit Cost Ratio (BCR), Payback Period (PP), dan Break Event Point (BEP) sedangkan metode pengumpulan data yang digunakan yaitu metode survey yaitu mengamati secara langsung objek yang akan diteliti sehingga diperoleh data primer untuk melakukan perhitungan nilai kelayakan bisnis yang ditinjau dari aspek finansial. Berdasarkan hasil analisis data diperoleh nilai Benefit Cost Ratio (BCR) sebesar 1,9; Payback Period (PP) sebesar 4,5 bulan; serta Break Event Point (BEP) sebesar 1.793 bugkus per bulan. Berdasarkan hasil analisis aspek finansial yang telah diperoleh, bisnis Usaha Mikro Kecil dan Menengah (UMKM) yang bergerak dibidang pengolahan produk perikanan yang memproduksi abon ikan salem yang telah dijalankan ini layak untuk dijalankan, karena memiliki nilai Benefit Cost Ratio (BCR) lebih besar dari 1 yang berarti bahwa keuntungan yang diperoleh lebih besar dari biaya pengeluaran untuk melakukan proses produksi dan pemasaran produk serta nilai Payback Period (PP) sebesar 4,5 bulan lebih kecil dari umur ekonomis investasi yakni selama 5 tahun.
Pengaruh Total Asset Turnover, Interest Rates, dan Net Profit Margin terhadap Harga Saham Nurhalisa, Silvi; Syarif, Devyanthi; Hamdani, Deni
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3826

Abstract

Kajian ini berfokus pada upaya guna menggali bagaimana entitas Industri yang terinventarisasi di Bursa Efek Indonesia dalam kisaran waktu 2017–2024 dipengaruhi oleh Total Asset Turnover, Interest Rates, dan Net Profit Margin. Penelitian ini menggunakan teknik kuantitatif yang menggabungkan analisis verifikatif dan deskriptif untuk memperoleh pemahaman yang lebih komprehensif terkait dinamika perubahan harga saham pada sektor tersebut. Data sekunder, seperti rekapitulasi performa keuangan tahunan perusahaan dan publikasi rilisan oleh Bank Indonesia, digunakan untuk pengumpulan data serta menjadi dasar dalam proses pengolahan dan pengujian hipotesis. Selain itu, pengambilan sampel secara purposif yang digabungkan dengan strategi pengambilan sampel non-probabilitas digunakan untuk menentukan sampel penelitian sehingga data yang dihimpun relevan dengan tujuan analisis. Temuan penelitian mengindikasikan bahwa Net Profit Margin memberi kontribusi yang berarti dalam mempengaruhi pergerakan harga saham, sedangkan Total Asset Turnover dan Interest Rates tidak memiliki pengaruh terhadap harga saham dalam konteks periode penelitian. Hasil ini menegaskan bahwa profitabilitas memiliki peran dominan dibandingkan indikator efisiensi aset maupun perubahan tingkat suku bunga. Meskipun demikian, harga saham tetap dipengaruhi secara bersamaan oleh Net Profit Margin, Interest Rates, dan Total Asset Turnover ketika diuji dalam model simultan, sehingga ketiga variabel tetap memiliki signifikansi kolektif dalam menjelaskan variasi harga saham. Temuan tersebut diharapkan dapat memberikan kontribusi bagi pemahaman akademis maupun pengambilan keputusan di lingkungan industri pasar modal.
Ecosystem of Social Entrepreneurship in Developing Countries: A Bibliometric and Network Analysis Judijanto, Loso
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3828

Abstract

This study analyzes the worldwide intellectual framework of research on social entrepreneurship ecosystems in developing nations through a comprehensive bibliometric and network analysis of Scopus-indexed publications. By employing VOSviewer, the study systematically maps co-occurrence patterns, co-authorship structures, and cross-country collaboration networks to identify the principal research themes, influential authors, and collaborative dynamics that shape this scholarly domain. The results reveal that “social entrepreneurship” functions as the core thematic cluster, strongly interconnected with concepts such as social innovation, sustainable development, inclusive growth, and entrepreneurial ecosystems. These associations demonstrate how social entrepreneurship in developing countries is increasingly positioned as a multidimensional catalyst for socio-economic transformation. The network visualizations further highlight strong linkages between innovation-oriented studies and sustainability-driven research streams, underscoring the systemic and interdependent characteristics of social entrepreneurship. These connections suggest that researchers increasingly view entrepreneurial initiatives not only as economic activities but also as mechanisms for addressing societal challenges, empowering communities, and strengthening local resilience. Country-level analysis indicates that the United States and the United Kingdom remain predominant contributors, yet there is a notable surge in scholarly output from emerging economies across Asia, Africa, and Latin America, reflecting growing academic interest and practical relevance in these regions. Research deepens theoretical understanding of social entrepreneurship ecosystems while offering practical insights for policymakers, development agencies, and practitioners seeking to cultivate supportive environments for socially driven ventures.
Trends in Employee Competency Development in the Era of Industry 5.0: A Literature Review Milasari, Neneng; Supriandi, Supriandi
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3829

Abstract

Industry 5.0 introduces a human-centric paradigm that integrates advanced technologies with human creativity, emotional intelligence, and sustainability values. This study conducts a qualitative literature review of fifteen academic sources identified through Google Scholar to examine emerging trends in employee competency development in the Industry 5.0 era. The findings reveal a fundamental reorientation of workforce requirements, shifting from predominantly technical abilities to hybrid competencies that blend digital literacy, analytical reasoning, socio-emotional intelligence, sustainability awareness, and adaptive learning capacity. Employees are expected not only to master AI-assisted tools, automation systems, and data-driven platforms but also to collaborate effectively with intelligent machines and engage in complex decision-making processes shaped by real-time analytics. At the organizational level, the review highlights the growing importance of human-centered talent development strategies, including reskilling and upskilling initiatives, technology-enhanced learning ecosystems, and AI-supported personalized training pathways. These strategies aim to foster continuous learning and ensure that employee capabilities evolve alongside technological progress. The incorporation of ethical technology use, sustainability-oriented competencies, and psychological well-being further reinforces the principle that innovation in Industry 5.0 must remain inclusive and socially responsible. Overall, the study deepens the understanding of how Industry 5.0 reshapes competency frameworks across sectors and underscores the need for organizations, educators, and policymakers to proactively design learning environments that support future-ready human capital. The findings provide a foundation for developing integrated approaches to workforce transformation and identify gaps for future empirical research.

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