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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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Analisis Implementasi Pengelolaan Barang Milik Daerah di Kantor Pelayanan Pajak Daerah Daerah Istimewa Yogyakarta Muda, Andri Syahputra; Astuti, Tutut Dewi
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.v4i2.1415

Abstract

Penelitian ini bertujuan untuk mengkaji secara menyeluruh implementasi tata cara pembukuan, inventarisasi, dan pelaporan Barang Milik Daerah (BMD) di lingkungan Kantor Pelayanan Pajak Daerah (KPPD) di Daerah Istimewa Yogyakarta (DIY). Dengan pendekatan kualitatif, data dikumpulkan melalui observasi langsung, wawancara mendalam, dan analisis dokumentasi. Hasil penelitian menunjukkan bahwa walaupun pelaksanaan pengelolaan BMD telah mengacu pada Permendagri No. 47 Tahun 2021, terdapat beragam kendala teknis serta administratif yang menghambat efektivitas pengelolaan. Temuan ini menyoroti peran penting teknologi informasi, namun juga menunjukkan kebutuhan peningkatan kapasitas sumber daya manusia, optimalisasi alur kerja, dan pengembangan sistem monitoring yang lebih ketat dalam rangka mencapai transparansi dan akuntabilitas pengelolaan aset
Financial Health Analysis of Sharia National Pension Savings Bank (Bank BTPN Sharia) in terms of Capital Factor (CAR), Financing (FDR), Profitability (ROA, ROE, NPM & BOPO) and Financing Risk (NPF) Balele, Bintang; Pasryb, A. Syahida Ulhaq
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.v4i1.1442

Abstract

The study aims to analyze financial health of Sharia National Pension Savings Bank (Bank BTPN Sharia) in terms of Capital Factor (CAR), Financing (FDR), Profitability (ROA, ROE, NPM & BOPO) and Financing Risk (NPF). The study applied quantitative descriptive method. The data obtain from the period between 2015 and 2019. The criteria used to assess the soundness level of a bank in this study were based on Bank Indonesia circular letter No. 13/24 / DPNP 2011. The result in this research indicates that Sharia National Pension Savings Bank (Bank BTPN Sharia) in terms of Capital Factor (CAR), Financing (FDR), Profitability (ROA, ROE, NPM & BOPO) and Financing Risk (NPF) are in good health.
Optimasi Waktu Changeover Untuk Meningkatkan Produktivitas Line Produksi Otomotif Dengan Pendekatan SMED Wijaya, Taufik Rizal; Supriyati, Supriyati; Setiawan, Setiawan
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.v4i2.1493

Abstract

PT XYZ merupakan salah satu perusahaan yang bergerak di bidang manufaktur otomotif dan menjadi supplier produksi suku cadang dari customer yang mempunyai variasi produk yang cukup banyak. Dengan adanya model baru perusahaan membuat 2 tipe produk berbeda dapat diproduksi di line yang sama dengan sistem produksi mengimplementasikan changeover. Proses  changeover di PT XYZ adalah pergantian sarana produksi yaitu jig dan material sesuai dengan tipe produk yang akan diproses. Pada lini produksi A khususnya mesin ILNC-16 mempunyai waktu changeover diluar standar durasi yang ditetapkan perusahaan sehingga mempengaruhi produktivitas lini produksi A berdampak kepada perlunya work overtime untuk memenuhi target produksi harian. Penelitian bertujuan  untuk mengetahui faktor penyebab lamanya proses changeover di Lini Produksi A khususnya mesin ILNC-16 melaui metode DMAIC (Define, Measure, Analyze, Improvement, and Control) sebagai framework dan SMED (Single Minutes Exchange of Dies) untuk mengurangi setup and adjustment losses. Dengan integrasi kedua metode ini, waktu setup (changeover) pada mesin ILNC-16 di Lini Produksi A menurun yang sebelumnya 1373 detik mejadi 310 detik. Hal ini memberi dampak positif membuat waktu total changeover lini produksi A secara keseluruhan turun 58.4% yang sebelumnya 1819 detik menjadi 756 detik dan berhasil meningkatkan produktivitas lini produksi A sehingga memenuhi target produksi tanpa work overtime.
Perkembangan Teknologi Big Data dalam Sistem Informasi Bisnis: Systematic Literature Review Gemawaty, Cut Asiana; Yuliani, Yuce
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.v4i2.1140

Abstract

Penelitian ini bertujuan untuk mengkaji perkembangan teknologi Big Data dalam sistem informasi bisnis melalui pendekatan systematic literature review (SLR). Sebanyak 25 artikel ilmiah yang diterbitkan antara tahun 2013 hingga 2023 dianalisis secara tematik dari lima basis data utama: Scopus, IEEE Xplore, ScienceDirect, SpringerLink, dan Google Scholar. Hasil kajian menunjukkan bahwa teknologi seperti Apache Hadoop, Spark, NoSQL databases (seperti MongoDB dan Cassandra), serta real-time analytics (seperti Apache Kafka) telah banyak diadopsi untuk meningkatkan efisiensi operasional, mendukung pengambilan keputusan strategis, serta menciptakan inovasi layanan bisnis berbasis data. Penerapan Big Data dalam sistem informasi bisnis ditemukan di berbagai sektor, seperti ritel, keuangan, kesehatan, dan manufaktur. Meskipun demikian, implementasi teknologi ini menghadapi sejumlah tantangan, antara lain keterbatasan sumber daya manusia yang kompeten, infrastruktur TI yang belum memadai, serta kekhawatiran terhadap keamanan dan privasi data. Kajian ini juga menyoroti tren masa depan yang mengarah pada integrasi Big Data dengan kecerdasan buatan (AI), cloud computing, dan penguatan tata kelola data secara etis dan adaptif. Temuan ini diharapkan menjadi referensi bagi peneliti dan praktisi dalam mengembangkan sistem informasi bisnis berbasis Big Data secara berkelanjutan.
The Relationship Between Road Capacity and Road Level of Service: A Systematic Review of Recent Studies Sembada, Abdi; Candra, Bangkit Yanuar Yularso; Ginting, Rio Refelino; Heryadiana, Asep Dian; Isradi, Muhammad
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.v4i2.1249

Abstract

This study presents a systematic review of recent literature that explores the relationship between road capacity and level of service (LOS), two critical components in transportation engineering and urban planning. As traffic volumes continue to grow in urban environments, understanding how road capacity impacts service quality is essential for improving mobility, reducing congestion, and planning sustainable transportation systems. The review synthesizes findings from multiple peer-reviewed sources, focusing on key methodologies, variables, and evaluation criteria used to assess capacity and LOS in different contexts. In addition to traditional analytical frameworks, this study incorporates a bibliometric analysis using VOSviewer to visualize keyword connections and research trends. The results reveal that evaluation methods, road geometry, and strategic design are dominant themes in literature, while gaps remain in studies integrating real-time data and behavioral factors. This research contributes to the field by mapping current knowledge, identifying emerging research directions, and offering insights for future transportation policy and infrastructure development efforts.
Pengaruh E-Satisfaction, E-Trust, dan E-Service Quality Terhadap Loyalitas Digital Shopeepay Kumala, Imtinan Widhah; Wicaksono, Andrian Febri; Askhar, Bayu Malikhul; Yusuf, Mohamad Fahmi; Prambudi, Wahyu Tri
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.v4i2.1345

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh e-satisfaction, e-trust, dan e-service quality terhadap loyalitas digital pelanggan ShopeePay. Studi ini menggunakan pendekatan kuantitatif dengan metode explanatory research. Sampel yang digunakan adalah 94 mahasiswa aktif ITB Ahmad Dahlan Lamongan yang telah menggunakan ShopeePay, dengan teknik pengambilan sampel non-probability sampling. Instrumen penelitian berupa kuesioner, dan analisis data dilakukan menggunakan Structural Equation Modeling Partial Least Square (SEM-PLS) melalui software SmartPLS 4.0. Hasil analisis menunjukkan bahwa ketiga variabel independent e-satisfaction, e-trust, dan e-service quality berpengaruh positif dan signifikan terhadap loyalitas digital pelanggan ShopeePay. Penelitian ini memberikan kontribusi bagi pengembangan strategi layanan dompet digital, di mana perusahaan perlu memprioritaskan kepuasan pengguna, membangun kepercayaan yang kuat, serta meningkatkan kualitas layanan digital untuk mempertahankan loyalitas pengguna di tengah persaingan e-wallet yang semakin kompetitif. Implikasi manajerial dari hasil ini menggarisbawahi pentingnya pendekatan berbasis pengalaman pengguna dalam membangun loyalitas jangka panjang.
Development of Transportation Planning: A Systematic Literature Review of Methods Sumantri, Vena Nuri; Dwiani, Nurmala; Rachman, M. Nanda Fajar Arij; Rijaluddin, Arief; Rifai, Andri Irfan
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.v4i2.1346

Abstract

Transportation planning plays a principal role in sustainable development, but many regions still face problems such as congestion and high emissions. This study uses a systematic literature review (SLR) method to analyse the development of transportation planning techniques based on publications indexed by Google Scholar. The prime focus is on the trend of data-based approaches and technology integration. The results show that the dominant topics include regulation, planning, transportation planning, and accidents. The largest publisher is Elsevier, followed by Springer and Taylor & Francis, indicating the dominance of high-reputation journals. The types of sources vary, with the majority coming from the “Other” category and books. Publications increased significantly in 2009–2010 and decreased in the last decade. This study provides a comprehensive overview of the main directions and focuses of transportation research and serves as a basis for further studies.
Analisis Komparatif Penerapan K-Means Clustering pada Lima Dataset Nyata untuk Evaluasi Sosial Ekonomi dan Finansial Khudin, Fat; Saputra, Irfan Dias; Ilham, Muhammad; Fadilah, Muhamad Sahrul Hafidz; Rahmadan, Dika Surya; Jupron, Jupron
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.v4i2.1361

Abstract

Penerapan algoritma K-Means Clustering banyak digunakan dalam eksplorasi data multidomain, mulai dari sektor keuangan digital hingga indikator sosial ekonomi dan kesehatan. Penelitian ini membandingkan penggunaan algoritma K-Means pada lima jenis dataset nyata, yaitu distribusi suplai Bitcoin (2009–2024), harga saham Citigroup Inc. (2008–2024), kontribusi pajak daerah kota Banjarmasin (2007–2014), data kemiskinan Indonesia (1976–1993), dan prevalensi penyakit kronis pada lansia (2022). Seluruh data diproses melalui tahap normalisasi, dilanjutkan analisis klaster menggunakan algoritma K-Means dengan jumlah klaster optimal yang ditentukan melalui metode Elbow. Hasil penelitian menunjukkan bahwa semua domain memiliki pola klasterisasi yang bermakna: distribusi Bitcoin terbagi ke dalam tiga fase pertumbuhan, saham Citigroup memperlihatkan dua fase risiko, data kemiskinan dan pajak menunjukkan segmentasi tren historis, serta penyakit lansia mengarah pada kelompok risiko prevalensi. Evaluasi menggunakan Silhouette Score menunjukkan kualitas pemisahan klaster yang cukup baik (nilai antara 0,61 hingga 0,82). Pendekatan ini membuktikan bahwa K-Means dapat diandalkan untuk pengelompokan lintas domain dan dapat menjadi alat bantu dalam pengambilan keputusan berbasis data.
Pengaruh Kesadaran Wajib Pajak Dan Pengetahuan Perpajakan Terhadap Kepatuhan Wajib Pajak UMKM Pada KPP Pratama Cimahi Meliyanti, Wina; Mulyana, Asep; Sutrisna, Wawan Asad; Munawar, Hendrik Sudria; Amperawati, Susani
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.v4i2.1362

Abstract

This study aims to determine the extent of the influence of taxpayer awareness and tax knowledge on the compliance of MSME taxpyers at the Cimahi Tax Service Office. This research employs a quantitative descriptive method with a multiple linear regression analysis model. Data was collected by distributing questionnaires directly to 100 respondents. The results indicate that, partially, both taxpayer awareness and tax knowledge positively and significantly influence MSME taxpayer compliance. Simultaneously, taxpayer awareness and tax knowledge positively and significantly influence MSME taxpayer compliance.  
Pengaruh Biaya Bahan Baku dan Biaya Tenaga Kerja Langsung Terhadap Penjualan PT Mandom Indonesia Tbk. Periode 2018—2024 Puspita, Windi Ayu; Mulyana, Asep; Lesmana, Kusnadi Kibet; Wardhana , Didin; Priatna, Ami
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.v4i2.1363

Abstract

Abstract This study focuses on the sales decline experienced by PT Mandom Indonesia Tbk (TCID) in 2024, which coincided with an increase in raw material expenses. The research aims to evaluate the extent of raw material costs, direct labor expenses, and net sales of PT Mandom Indonesia Tbk throughout the 2018–2024 period. Additionally, the study seeks to analyze the individual (partial) and combined (simultaneous) effects of raw material and direct labor costs on sales outcomes. The dependent variable in this analysis is net sales. Data were analyzed using SPSS version 25, with the company’s financial statements from 2018 to 2024 serving as the data source. A quantitative research design was adopted, employing both descriptive and associative approaches, along with multiple linear regression analysis. The results of hypothesis testing indicate that neither raw material costs nor direct labor expenses significantly affect sales when examined independently. However, when evaluated together, both variables have a statistically significant impact on sales performance.

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