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Arif Mudi Priyatno
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Department of Digital Business, Universitas Pahlawan Tuanku Tambusai Jl. Tuanku Tambusai No.23, Bangkinang, Kec. Bangkinang, Kabupaten Kampar, Riau 28412
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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 3,872 Documents
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User Behavior in Public Transportation Mode Selection: A Systematic Literature Review Nurhasanah, Rini; Fatimah, Ghaida Tsauraya Nur; Sugih, Ageng; Toruan, Erni Sari Lumban; Handayani, Susanty
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1411

Abstract

Urban mobility in Indonesia faces major challenges due to rapid urbanization, increasing private vehicle ownership, congestion, and pollution. In regions like West Java, including Bandung Raya and Majalengka, these issues are compounded by user preferences driven by comfort, cost, and travel time, often favoring private vehicles. As a developing country, Indonesia also struggles with weak inter-agency coordination, low infrastructure investment, and public stigma toward public transportation. This study employs the Systematic Literature Review (SLR) method to collect, analyze, and synthesize findings from existing research on transportation modes. Data were sourced using the Publish or Perish (PoP) software, which conducts targeted searches on Google Scholar—chosen for its accessibility and diverse sources compared to databases like Scopus or Web of Science. A total of 1,000 publications from 2000 to 2025 were analyzed. Using VOSviewer, the study examined keyword correlations and trends in publication themes over time. The results indicate a notable rise in transportation mode research since 2010, peaking around 2020. Overlay Visualization from VOSviewer reveals the temporal progression of key terms, highlighting growing interdisciplinary interest in public transportation issues. These findings provide valuable insight into the academic development of transportation studies and support policy discussions on sustainable urban mobility in Indonesia.
Pengaruh Model Pembelajaran Mandiri Terhadap Hasil Belajar Siswa Mata Pelajaran Ekonomi Di Kelas XI SMAN 1 Pakel Tulungagung Solikah, Leni Mega Mar’atus; Gufron, Moh
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1412

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran mandiri (Self Directed Learning) terhadap hasil belajar siswa mata pelajaran Ekonomi di kelas XI SMA Negeri 1 Pakel Tulungagung. Latar belakang penelitian ini didasari oleh rendahnya persentase ketuntasan belajar siswa, di mana lebih dari 60% siswa belum mencapai Kriteria Ketuntasan Minimum (KKM). Penelitian ini menggunakan metode kuantitatif dengan pendekatan quasi eksperimen dan desain nonequivalent control group. Sampel penelitian terdiri dari dua kelas, yaitu kelas eksperimen yang menggunakan model Self Directed Learning dan kelas kontrol yang menggunakan metode pembelajaran konvensional. Pengumpulan data dilakukan melalui pretest dan posttest dengan instrumen tes hasil belajar. Analisis data menggunakan uji-t untuk mengetahui signifikansi perbedaan hasil belajar antara kedua kelompok. Hasil penelitian menunjukkan bahwa terdapat pengaruh yang signifikan dari penggunaan model pembelajaran mandiri terhadap peningkatan hasil belajar siswa. Hal ini membuktikan bahwa pendekatan Self Directed Learning efektif dalam meningkatkan pemahaman dan kemandirian belajar siswa pada mata pelajaran Ekonomi.
Critical Evaluation of Road Bends on User Safety: A Systematic Literature Review Study Wahyudi, Fahmi Faizal; Herdiawan, Vickry Afrizal; Nurrohman, Muhammad Ridwan; Juliar, Eka; Handayani, Susanty
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1413

Abstract

Road curves often become vulnerable to traffic accidents, which remain a significant worldwide issue. This study provides an essential analysis of the effects of road geometry on curves on user safety. The main objective of this research is to identify the relationship between the features of curve infrastructure, such as radius, superelevation, and lane width, and the traffic accident rate. Accident data from various road segments in Indonesia was thoroughly analyzed. Special emphasis is placed on the types of accidents, their severity levels, and the contributing factors to these accidents. Studies show that curves with suboptimal designs, such as small radii or lack of superelevation, significantly increase the risk of accidents. Additionally, the consistency of geometric design and the visual perception of curves significantly affect the safety of drivers and other road users. This study highlights the importance of using a comprehensive approach in the planning and designing road curves to enhance overall transportation safety. The proposed recommendations include stricter design guidelines, improved maintenance, and better instructions for road users to reduce the risk of curve accidents.
A Systematic Review of Geometric Road Design Evaluation Methods with AutoCAD Civil 3D Applications: Tinjauan Sistematis Metode Evaluasi Desain Geometris Jalan dengan Aplikasi AutoCAD Civil 3D Candra, Bangkit Yanuar Yularso; Heryadiana, Asep Dian; Prasetijo, Joewono
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1414

Abstract

Geometric road design is fundamental to the development of efficient, safe, and sustainable transportation systems. In recent years, the application of digital tools, particularly AutoCAD Civil 3D, has significantly improved the accuracy and efficiency of road design processes. This systematic review investigates evaluation methods for geometric road design published between 2020 and 2025, with a focus on the use of AutoCAD Civil 3D as a primary tool. The review synthesizes findings from peer-reviewed journals, highlighting how Civil 3D has been applied in tasks such as horizontal and vertical alignment analysis, cross-section modeling, and corridor development. Results indicate that AutoCAD Civil 3D not only streamlines the design workflow but also supports better decision-making through three-dimensional visualization and real-time data integration. However, the review also identifies several limitations, including software complexity, the need for specialized training, and challenges in interoperability with other systems. Overall, this study emphasizes the critical role of AutoCAD Civil 3D in modern road design evaluation and encourages the adoption of standardized methodologies and continuous professional development to optimize its application in transportation infrastructure planning
Traditional Public Transportation Service Levels of Middle City: A Systematic Literature Review : Tingkat Pelayanan Transportasi Umum Tradisional di Kota Menengah: Tinjauan Literatur Sistematis Widyatni, Dini; Anugraha, Pebri Tri; Fadillah, Zahran Ditra; Juliar, Eka; Taufik, Mohammad
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1416

Abstract

Middle Citys play a crucial role in the socio-economic landscape of developing cities, yet their integration with efficient public transportation systems remains a persistent urban challenge. This study presents a systematic literature review of research published between 2020 and 2025, aiming to evaluate the service levels of public transportation in Middle City environments. Using Publish or Perish and VOSviewer, 120 relevant studies were identified and analyzed across five key service dimensions: frequency, affordability, accessibility, safety, and user satisfaction. The findings reveal that while public transportation around Middle Citys is generally available, significant gaps remain in terms of affordability, safety, and inclusive access for vulnerable groups such as elderly users and informal workers. Geographic analysis shows that most research originates from rapidly urbanizing countries in Asia and Africa, highlighting regional concerns with informal commercial zones. This review underscores the urgent need for context-sensitive, participatory, and equity-focused planning approaches to improve public transport service quality in Middle Citys and similar urban environments..
The Impact of Influencer Marketing on Consumer Decision-Making in E-Commerce Platforms Samsu, Ridha Aprilla; Budiawan, Likha Navadiani; Yinnie, Celine; Muhroji, Jamal; Redjeki, Finny
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1417

Abstract

This research aims to analyze the influence of influencer marketing on consumer decision-making processes in e-commerce platforms. Utilizing a quantitative approach, the study investigates how influencer credibility, attractiveness, and expertise impact consumer purchase intentions. The research sample consists of 250 active e-commerce platform users in Indonesia. Data was collected through online questionnaires and analyzed using structural equation modeling (SEM). The findings reveal that influencer credibility significantly influences consumer purchasing decisions, with a path coefficient of 0.45 (p < 0.01). This study provides in-depth insights into the dynamics of influencer marketing in the digital era and its implications for consumer behavior in e-commerce environments.
Peran Keamanan Basis Data Relasional dalam Menjamin Kualitas Data untuk Proses Data Mining: Studi Kasus Klasifikasi Aktivitas Akses Berisiko Syahdan , Muhammad; Zaelani , Ahmad; Fikriansyah , Muhamad; sidiq , Rizal jafar; Hakim, Ilham Abdul; Zakaria, Hadi
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1418

Abstract

Pertumbuhan data digital yang sangat cepat di era modern menuntut sistem pengelolaan data yang aman, andal, dan terstruktur. Basis data relasional menjadi tulang punggung dari berbagai sistem informasi, menyimpan data yang sensitif dan penting untuk operasional organisasi. Di sisi lain, data mining menjadi alat penting untuk mengekstrak pola dan informasi strategis dari volume data yang besar. Namun, keandalan hasil data mining sangat dipengaruhi oleh kualitas dan keamanan data yang digunakan. Artikel ini mengkaji integrasi antara sistem keamanan basis data relasional dan penerapan algoritma klasifikasi untuk mendeteksi aktivitas pengguna yang berisiko. Penelitian ini menggunakan pendekatan supervised learning dengan algoritma Decision Tree (C4.5) dan Naive Bayes, yang diuji pada dataset simulasi log aktivitas database dengan kondisi data tidak seimbang. Teknik pra-pemrosesan data, penanganan outlier, dan metode oversampling seperti SMOTE digunakan untuk meningkatkan kualitas model. Hasil menunjukkan bahwa Decision Tree lebih unggul dalam mendeteksi aktivitas mencurigakan dengan nilai F1-Score yang lebih tinggi dibandingkan Naive Bayes, khususnya setelah dilakukan penyesuaian terhadap distribusi kelas. Selain itu, analisis ketahanan terhadap noise memperlihatkan bahwa Naive Bayes memiliki stabilitas yang lebih baik, namun kurang presisi pada deteksi risiko. Temuan ini menegaskan bahwa keamanan data dan pemilihan algoritma yang sesuai sangat berpengaruh terhadap hasil analisis data mining yang akurat dan etis.
Etika dalam Penggunaan Jaringan untuk Sistem Informasi Rumah Sakit Amalia, Rosi; Kasmiati, Neng; Yorismanto, Yorismanto; Hartono, Budi; Daut, Alfani Ghutsa
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1419

Abstract

Sistem informasi rumah sakit (SI-RS) sangat bergantung pada jaringan komputer sebagai infrastruktur utama dalam mendukung efektivitas dan efisiensi dalam layanan kesehatan. Namun, pemanfaatan jaringan tersebut menimbulkan tantangan etis yang berkaitan dengan keamanan data, privasi pengguna, dan integritas informasi. Penelitian ini bertujuan untuk mengkaji aspek-aspek etika dalam penggunaan jaringan untuk sistem informasi rumah sakit di Indonesia melalui pendekatan literature review terhadap 21 artikel ilmiah terpilih. Fokus kajian mencakup perlindungan data pribadi pasien, keamanan jaringan komputer, integrasi data antar modul layanan, serta kepatuhan terhadap regulasi dan kebijakan hukum yang berlaku. Hasil penelitian menunjukkan bahwa etika pengguna, kebijakan institusi, serta kesiapan teknis sangat berpengaruh terhadap keberhasilan dan keamanan sistem informasi rumah sakit. Selain itu, perkembangan layanan digital seperti telemedicine menambah kompleksitas pengelolaan jaringan yang harus tetap menjaga aspek privasi dan keandalan informasi. Studi ini menegaskan bahwa penguatan regulasi internal, pembinaan perilaku etis tenaga kerja, serta evaluasi berkelanjutan terhadap sistem informasi sangat diperlukan dalam membangun sistem jaringan rumah sakit yang profesional, aman, dan dipercaya publik.
Analisis Kinerja Keuangan Terhadap Harga Saham PT Ifishdeco Tbk Periode 2019 – 2024 Amaludin, Rizki; Herlinawati, Erna
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1421

Abstract

Penelitian ini menggunakan pendekatan kuantitatif dengan metode deskriptif dan verifikatif, serta penerapan analisis regresi linier berganda, untuk menguji pengaruh Return on Assets (ROA), Total Asset Turnover (TATO), dan Price to Book Value (PBV) terhadap harga saham PT Ifishdeco Tbk selama periode 2019 hingga 2024. Data yang digunakan bersumber dari laporan keuangan tahunan perusahaan sebagai data sekunder. Secara parsial, hasil penelitian menunjukkan bahwa ROA tidak berpengaruh signifikan terhadap harga saham PT Ifishdeco Tbk dalam periode tersebut, demikian pula dengan TATO. Hal ini mengindikasikan bahwa kinerja profitabilitas dan efisiensi penggunaan aset perusahaan belum menjadi faktor utama yang memengaruhi valuasi pasar sahamnya. Sebaliknya, variabel PBV menunjukkan pengaruh positif dan signifikan, menandakan bahwa selisih antara nilai buku dan nilai pasar saham perusahaan menjadi indikator kuat dalam menentukan harga saham. Selain itu, analisis simultan menggunakan uji F memperlihatkan bahwa ketiga variabel independen ROA, TATO, dan PBV secara bersama-sama memiliki pengaruh yang signifikan terhadap pergerakan harga saham PT Ifishdeco Tbk pada rentang waktu 2019–2024. Temuan ini menegaskan pentingnya mempertimbangkan indikator valuasi seperti PBV dalam analisis harga saham, meskipun faktor profitabilitas dan efisiensi masih perlu dikaji lebih mendalam untuk memahami dampaknya. Kesimpulannya, penelitian ini merekomendasikan agar investor dan manajemen perusahaan lebih memperhatikan nilai buku dibandingkan kinerja operasional dalam mengambil keputusan investasi.
Analisis Pertumbuhan Penduduk, Obligasi AS, Pertanian, dan Insentif Fiskal terhadap PDB Sektoral Indonesia dan Riil Aziz, Nasrul; Diasaputra, Ayoga Ugi; Saputra, Andriyan; Rifanka, Aswangga Rakhi Prawira; Ikhsan, Rizqi Muhammad; Maar, Halili; Alfian, Zurnan
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1422

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh lintas sektor dari faktor global dan domestik terhadap Produk Domestik Bruto (PDB) sektoral dan riil Indonesia. Faktor-faktor yang dikaji mencakup pertumbuhan penduduk historis, yield obligasi Amerika Serikat (AS), distribusi sektor pertanian di Asia Pasifik, serta insentif perpajakan sektoral di Indonesia. Metode yang digunakan adalah analisis kuantitatif melalui pendekatan regresi linear sederhana, visualisasi tren, serta segmentasi dengan klasterisasi K-Means. Dataset yang digunakan meliputi data penduduk dari Koloniaal Verslag (1874–1892), yield obligasi dari The Wall Street Journal (2005), distribusi output sektoral dari ADB (1970–2006), serta PDB dan insentif fiskal dari BPS dan Kemenkeu (2013–2022). Hasil analisis menunjukkan bahwa terdapat korelasi positif antara tenor obligasi dan yield (+0,85), penurunan kontribusi sektor pertanian, serta efisiensi relatif dari belanja fiskal terhadap sektor jasa dan industri. Model regresi memberikan dasar prediktif, sementara klasterisasi menggambarkan segmentasi sektoral ekonomi nasional. Penelitian ini menyimpulkan bahwa sinergi antara indikator global dan domestik penting untuk memahami arah pembangunan ekonomi makro Indonesia.

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