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Big Data Analysis in Management Information Systems for Financial Decision Making: A Systematic Literature Review Trisa Afrilia Friyadi; Arjuna Rizaldi; Agus Riyanto; Mayar Mohammed Sabah Ali Alkaabi
Jurnal Ilmu Keuangan dan Perbankan (JIKA) Vol. 15 No. 1: Desember 2025
Publisher : Program Studi Keuangan & Perbankan, Fakultas Ekonomi dan Bisnis, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jika.v15i1.19521

Abstract

The integration of Big Data Analysis into Management Information Systems (MIS) has become increasingly important in supporting financial decision-making in today’s data-driven business environment. As the volume and variety of financial data continue to grow, MIS is no longer limited to traditional reporting functions but must evolve into analytical systems that provide timely and accurate information for managerial decisions. This study explores how Big Data Analytics is integrated into MIS and examines its role in improving the quality and accuracy of financial decision-making through a Systematic Literature Review (SLR) based on the PRISMA guidelines. Peer-reviewed journal articles published between 2020 and 2025 were reviewed to identify research trends, main findings, and research gaps. The findings show that Big Data Analytics enhances MIS by improving information quality, speeding up data processing, and enabling the integration of data from multiple sources, which supports more effective financial decisions. However, most existing studies still focus mainly on the technical implementation of Big Data, while the managerial integration of Big Data within the MIS framework remains limited. Therefore, this study emphasizes the importance of an integrated approach that views Big Data as a strategic element of MIS, providing a conceptual basis for developing more effective Big Data–driven financial decision-making systems and offering directions for future research related to data governance and system design. Keywords: Big Data; Management Information Systems; Financial Decision Making; SLR; Digital Transformation
The Role Of The Borsom System In Shaping The Relationship Between Income And Welfare Of Rural Palm Sugar Artisans: An Islamic Economics Perspective Novia Purnamasari; Umi Narimawati; Bobi Kurniawan; Agus Riyanto; Raeni Dwisanty
Jesya Vol 9 No 1 (2026): Artikel Riset Januari 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Al-Washliyah Sibolga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36778/jesya.v9i1.2559

Abstract

This study examines the mechanisms through which the borsom system shapes the relationship between income and economic welfare among rural palm sugar artisans from an Islamic economic perspective. Using a qualitative approach, data were collected through in-depth interviews, field observations, and documentation involving palm sugar artisans in Banyuwangi Village, Sukabumi Regency. The findings indicate that increased income does not automatically translate into improved household welfare, as most earnings are absorbed by basic consumption needs and production continuity. In conditions of limited access to infrastructure, markets, and formal Islamic financial institutions, the borsom system emerges as an informal economic institution embedded in patron–client relations between artisans and collectors. From an Islamic economic perspective, borsom functions as a short-term economic buffer grounded in the value of mutual assistance (ta‘āwun), enabling production stability and household survival. However, prolonged reliance on this system reinforces structural dependence, weakens bargaining power, and constrains the achievement of sustainable welfare (falah). This study contributes by integrating rural sociological analysis with Islamic economic principles to explain how informal institutions simultaneously support and limit rural economic welfare. Strengthening inclusive Islamic financial institutions and diversifying rural livelihoods are essential for promoting more equitable and sustainable welfare outcomes.
Integration of Online Queue System and Electronic Medical Records to Improve Operational Efficiency in a Primary Clinic Martin Agusta; Umi Narimawati; Bobi Kurniawan; Agus Riyanto; Raeni Dwisanty
Jesya Vol 9 No 1 (2026): Artikel Riset Januari 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Al-Washliyah Sibolga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36778/jesya.v9i1.2589

Abstract

This study aims to analyze the integration of an online queue system and Electronic Medical Records (EMR) as a managerial strategy to enhance operational efficiency at Klinik dan Laboratorium Pratama Muhammad Abdus Syafi (MAS). A descriptive qualitative approach was employed, with data collected through observation, in-depth interviews, and documentation review. The findings indicate that integrating the two digital systems significantly reduced patient waiting times, improved service flow, and minimized administrative duplication. From an operational management perspective, the integrated system optimized resource utilization, increased healthcare staff productivity, and strengthened data-driven decision-making. Digital transformation through system integration demonstrably improved operational efficiency and organizational performance stability. Successful implementation was strongly influenced by human resource readiness, information technology governance, and adequate infrastructure support. This study was conducted within a single institution using a qualitative approach, which limits the generalizability of the findings. This research provides empirical evidence on digital integration strategies in primary healthcare facilities and highlights digital transformation as a long-term managerial approach to achieving operational excellence and organizational sustainability.
Pengambilan Keputusan Berbasis Data untuk Kinerja Pemasaran TikTok Shop: Bukti dari Kategori Produk Teratas di Indonesia Asep Koswara; Tarso; Lukito Angga Prasakti; Agus Riyanto; Herman Surdianto Soegoto
Business and Accounting Education Journal Vol. 7 No. 2 (2026): Business and Accounting Education Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/baej.v7i2.49356

Abstract

TikTok Shop menjadi salah satu platform social commerce dengan pertumbuhan tercepat di Indonesia yang menghasilkan jutaan interaksi pengguna dan impresi produk setiap bulannya. Penelitian ini menganalisis hubungan antara metrik performa pemasaran dan popularitas produk menggunakan pendekatan business analytics kuantitatif. Penelitian menggunakan metode statistik deskriptif dan analisis korelasi dengan dukungan teknik pengolahan data berbasis Python. Dataset penelitian terdiri dari 20 kategori produk teratas TikTok Shop Indonesia selama periode Maret 2026. Hasil penelitian menunjukkan bahwa shares memiliki korelasi positif terkuat terhadap popularitas produk (r = 0.669), diikuti impressions (r = 0.538) dan advertising cost (r = 0.453). Selain itu, kategori “Cases & Stickers” memiliki conversion rate tertinggi sebesar 78.44% dan cost per acquisition terendah sebesar 0.07 USD, sedangkan produk beauty menghasilkan engagement tertinggi dengan lebih dari 215.000 likes. Temuan penelitian menunjukkan bahwa perilaku berbagi konten oleh pengguna dan tingkat eksposur produk memiliki hubungan yang lebih kuat dengan popularitas produk dibandingkan metrik click efficiency maupun conversion. Penelitian ini berkontribusi terhadap pengembangan literatur digital marketing dan social commerce melalui penerapan business analytics komputasional untuk mendukung pengambilan keputusan strategis berbasis data pada ekosistem perdagangan digital berbasis platform.
Supplier performance analysis using the Analytical Hierarchy Process (AHP) method Agus Riyanto; Bayu Adytia Kurniawan; Gabriel Sianturi; Dina Oktafiani
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 1 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v12i1.1-6

Abstract

This research aims to determine priorities in supplier selection. The determination of this supplier uses the Analytical Hierarchy Process (AHP) method by determining the criteria and sub-criteria of the supplier selection objectives. Each criterion and sub-criteria are arranged in a hierarchical structure and compared by determining the priority scale. The selection of suppliers is based on the largest global weight values. The selected supplier is PT. MMII with a global weight value of 0.280. The global weighted assessment has considered consistency in decision-making based on a consistency index, which must be below 10%. It shows that PT. MMII is selected based on existing criteria and sub-criteria compared to other suppliers. This study contributes to group decision-making involving experts to choose the most appropriate supplier.