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All Journal Jurnal EMT KITA Jurnal Review Pendidikan dan Pengajaran (JRPP) Accounting Research Unit (ARU JOURNAL) Indonesian Journal of Multidisciplinary on Social and Technology Jurnal Intelek Insan Cendikia Jurnal Ekonomi Manajemen Dan Bisnis (JEMB) Jurnal Manajemen dan Pemasaran Outline Journal of Economic Studies
Loranty Folia Simanjuntak
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Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Bibliometric Analysis of Financial Technology Adoption by MSMEs in Indonesia Nurkholik, Adam; Sitorus, Anggi Pratiwi; Oktavia, Shintami; Simanjuntak, Loranty Folia; Azhari, Shofwan Sasri; Sormin, Imanuddin Husayn; Gavriel, Lemuel Hezekiah; Evani, Ruthania; Tangkas, Maria Gabriel Oktriana
Jurnal EMT KITA Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v10i2.5892

Abstract

This research aims to map the knowledge architecture and research landscape regarding the adoption of financial technology by Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. Although MSMEs are vital to the national economy, contributing 61% of the GDP, a comprehensive understanding of research trends, collaboration networks, and thematic gaps remains fragmented. To bridge this gap, this study presents a helicopter view thru a comprehensive literature synthesis. This research uses a bibliometric analysis design. Data was collected from the leading database Dimension.ai using specific keywords. Then, the data was analyzed to visualize citation networks, co-authorship, and keyword mapping using VOSviewer software. The results revealed that the research focus was divided into three main thematic clusters: Cluster Red (Islamic fintech, P2P lending), Cluster Green (digital economy, technology adoption), and Cluster Blue (MSME performance and risk management). The collaboration network shows a strong pattern, dominated by key authors affiliated with major universities in Indonesia, such as Airlangga University and the University of Indonesia. Nevertheless, reputable international journals (Heliyon, Sustainability) remain the primary citation references, highlighting a gap between national research productivity and global citation rates. This research theoretically confirms the shift in fintech adoption research by incorporating contextual and structural dimensions.
Korelasi Pengeluaran Per Kapita, IPM, Kemiskinan terhadap Stunting 34 Provinsi, Landasan MBG Kayla Syafitri Harahap; Loranty Folia Simanjuntak; Nazla Khania; Samuel Rillie Aritonang; Meiman Kasih Lase
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 4 No. 3 (2026): Juli - Oktober
Publisher : PT Ilmu Data Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijmst.v4i3.12207

Abstract

Stunting masih menjadi salah satu tantangan utama dalam pembangunan manusia di Indonesia karena berdampak terhadap pertumbuhan fisik, perkembangan kognitif, produktivitas, serta daya saing sumber daya manusia pada masa mendatang. Perbedaan prevalensi stunting antarprovinsi mencerminkan adanya kesenjangan kondisi sosial ekonomi dan kualitas pembangunan manusia yang memerlukan perhatian khusus melalui kebijakan yang tepat sasaran. Penelitian ini bertujuan untuk menganalisis hubungan antara pengeluaran per kapita, tingkat kemiskinan, dan Indeks Pembangunan Manusia (IPM) terhadap prevalensi stunting di 34 provinsi di Indonesia sebagai dasar penentuan prioritas pelaksanaan Program Makan Bergizi Gratis (MBG). Penelitian menggunakan pendekatan kuantitatif dengan desain cross-sectional berdasarkan data sekunder yang diperoleh dari Badan Pusat Statistik (BPS). Analisis dilakukan menggunakan uji korelasi Pearson melalui perangkat lunak JASP untuk mengetahui arah dan kekuatan hubungan antarvariabel. Hasil penelitian menunjukkan bahwa pengeluaran per kapita memiliki korelasi negatif yang signifikan terhadap prevalensi stunting (r = −0,554; p < 0,001), sedangkan tingkat kemiskinan memiliki korelasi positif yang signifikan (r = 0,583; p < 0,001). Selain itu, IPM menunjukkan korelasi negatif terkuat terhadap prevalensi stunting (r = −0,623; p < 0,001). Berdasarkan hasil analisis, delapan provinsi ditetapkan sebagai prioritas utama implementasi Program MBG. Temuan penelitian ini menegaskan bahwa peningkatan kesejahteraan ekonomi, pengurangan kemiskinan, dan peningkatan kualitas pembangunan manusia merupakan faktor penting dalam mendukung kebijakan penurunan stunting yang lebih efektif, tepat sasaran, dan berbasis bukti.
Multiple Correlation Analysis of the Number of E-Commerce Entrepreneurs, Digital Literacy, and GDP per Capita on E-Commerce Transaction Value in Indonesia in 2020–2023 Loranty Folia Simanjuntak; Shintami Oktavia; Anggi Pratiwi Sitorus; Muhammad Alhasymi Matondang
Outline Journal of Economic Studies Vol. 4 No. 2: April-September 2025
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/yp6f4c72

Abstract

This study aims to evaluate the relationship between the number of e-commerce entrepreneurs, digital literacy level, and GDP per capita on the e-commerce transaction value in Indonesia from 2020 to 2023. The approach used in this research is multiple correlation analysis, using secondary data obtained from BPS, the Ministry of Communication and Information Technology, and the Indonesian E-Commerce Association (idEA). The findings of this study indicate that all three independent variables have a very strong relationship with the e-commerce transaction value, evidenced by an R² value of 1.000 which shows that 100% of the variance in transaction value can be explained by the combination of these three variables. In separate analysis, GDP per capita has the most significant impact (97.5%), followed by digital literacy (93.1%), and the number of e-commerce entrepreneurs (80.9%). This result indicates that the development of the digital economy in Indonesia is greatly influenced by the purchasing power of the community, understanding of digital technology, and the presence of online business actors.
The Impact of Digitalization of Payment Systems on Inflation Stability in Indonesia Shintami Oktavia; Loranty Folia Simanjuntak; Muhammad Alhasymi Matondang; Richna Handriyani
Outline Journal of Economic Studies Vol. 4 No. 2: April-September 2025
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/s8fkj958

Abstract

This study aims to analyze the impact of payment system digitization on inflation stability in Indonesia during the period 2015 - 2024 using a qualitative approach. The main focus of this research is to examine how digital transformation in the payment system, especially through the use of e-money, QRIS, debit cards, and credit cards can contribute to changes in transaction patterns in society and its implications for the inflation rate. Digital transformation in the national payment system, such as the increasing use of QRIS, e-money, and other non-cash payment methods has changed people's transaction behavior and strengthened the effectiveness of inflation control policies. Digitalization accelerates transaction efficiency, lowers the amount of distribution costs, and expands financial inclusion. It also collectively contributes to price stability. However, there are challenges such as digital infrastructure gaps and financial literacy that still need to be improved, so that the benefits of digitalization can be used by many people as users. The results of this study confirm that the digitization of payment systems is a strategic instrument in maintaining Indonesia's macroeconomic stability, as long as there is synergistic policy support and continuous education.
Digital Supply Chain Optimization in E-Commerce Bubiess Beads Using The Simplex Method Based On Coefficient Matrix Nabilla Alya Naila; Najwa Fauziah; Nurhalimah; Naufal Ihsan Hadi Mukhtar; Loranty Folia Simanjuntak
Outline Journal of Economic Studies Vol. 5 No. 2: April - September 2026
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/kejper26

Abstract

Purpose: Differences in raw material shipping costs from multiple suppliers can increase production costs for small e-commerce businesses, especially handmade product businesses reliant on multi-source procurement. This issue is also experienced by bubiess.beads in determining the most efficient supplier. This study aims to determine optimal raw material procurement decisions to minimize production costs while maximizing monthly production profit. Methods: A mathematical model representing the relationship between decision variables and procurement constraints in coefficient matrix form was developed, combining supplier consolidation through cost minimization and production mix optimization through profit maximization, both solved using the simplex method. Results: Consolidating procurement to a single supplier reduced total costs from Rp131,900 to Rp114,700 per month through a 75.9% reduction in shipping fees. The optimal production mix of 15 units each for bracelets, necklaces, and accessories generated maximum profit of Rp817,500 per month, an 11.2% improvement over pre-optimization conditions. Conclusions: The model provides more efficient procurement decision alternatives, reducing production costs and supporting supply chain decision-making in small-scale e-commerce businesses. Originality/value: This study introduces an integrated two-model approach combining supplier selection and production mix optimization within a coefficient matrix framework, applied to a handmade accessory MSME operating through digital supply chains, an underexplored context in existing operations research literature.
Analysis of Production Cost Efficiency of Coffee Shop Business "Prestasi Kopi" at Medan State University Based on Linear Equation System and Inverse Matrix in Marginal Cost Analysis, Marginal Revenue, and BEP Yudhistira Sadewa; Loranty Folia Simanjuntak; Yohanes Afrinkus; Bela Magdalena; Luna Selciella; Shella Halim
Outline Journal of Economic Studies Vol. 5 No. 2: April - September 2026
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/8xwy8y74

Abstract

Purpose: This study aimed to analyze the efficiency of production costs in the "Prestasi Kopi" coffee shop located at Universitas Negeri Medan using a mathematical approach based on a system of linear equations and inverse matrices. Methods: The research employed a descriptive-quantitative method through direct observation and in- depth interviews with the business owner and managers. The collected data included the structure of fixed costs, variable costs, and sales data of coffee products, specifically the Sea Salt Butterscotch, Choco Hazelnut, and Sanger Prestasi Kopi. The analysis utilized a system of linear equations and the inverse matrix method to model the components of production costs, obtaining the total cost and total revenue functions as the basis for calculating the marginal cost, marginal revenue, and break-even point in units and rupiah. Results: The findings showed that the "Prestasi Kopi" coffee shop exceeded the break-even point with a marginal revenue value greater than the marginal cost. Conclusions: This indicated a profitable business condition and an efficient cost structure, proving that this mathematical approach was effective in supporting managerial decision-making for small businesses in a university environment. Originality/value: This study provided empirical evidence on the practical application of mathematical economics to evaluate andoptimize the financial performance of micro-enterprises.
Transformation Matrix Modeling and Correlation Analysis to Measure the Impact of Digitalization on the Sales Performance of Culinary SMEs in Medan Bella Amelia; Loranty Folia Simanjuntak; Tiara Mahdalena Pandiangan; Yose Renaldy Sinaga; Yosua Alberto Siregar; Alberto Inzaghi Haposan Pasaribu
Outline Journal of Economic Studies Vol. 5 No. 2: April - September 2026
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/sjx07624

Abstract

Purpose: This study aims to examine the impact of digital technology adoption on the sales performance of culinary Micro, Small, and Medium Enterprises (MSMEs) in Medan City, particularly through the use of food delivery platforms such as Shopee Food, Go Food, and Grab Food. Methods: A quantitative approach was employed using transformation matrix modeling and Pearson correlation analysis. Data were collected through structured interviews with MSME operators who actively utilize digital platforms in their business operations. The variables analyzed include digital adoption, market reach, transaction efficiency, and consumer accessibility. Results: The findings reveal a statistically significant positive correlation between digital platform utilization and improved sales performance. Digital adoption enhances market reach by expanding customer access, increases transaction efficiency through streamlined ordering systems, and improves consumer accessibility. These factors collectively contribute to higher sales and business growth among culinary MSMEs in Medan. Originality: This study offers a novel approach by integrating transformation matrix modeling with correlation analysis to assess the impact of digitalization at the MSME level. It provides practical insights for MSME actors and policymakers in optimizing digital platforms to strengthen competitiveness in the digital economy era.
Optimization of Weekday Inventory Allocation Based on Sales Targets at the Indomaret Point Rest Area at KM 65 B Using a Constraint Coefficient Matrix and Linear Programming Loranty Folia Simanjuntak; Felysha Putri Saulina Siregar; Rut Yosepina Sinaga; Gita Andhara Nasution; Wajra Ceyna Cakti Tarigan
Outline Journal of Economic Studies Vol. 5 No. 2: April - September 2026
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/zcrmtn27

Abstract

Purpose: This study aims to formulate an optimal inventory allocation strategy for weekdays at Indomaret Point Rest Area KM 65 B in order to improve profitability and achieve sales targets more effectively amid capital and shelf-capacity constraints. Methods: The analysis focuses on identifying the optimal combination of products based on contribution margins, capital availability, and storage limitations. Results: The findings reveal that inventory optimization is achieved by prioritizing product x9, which provides the highest contribution margin of Rp3,212 per unit, along with product x1 to maintain stable daily sales volume. The proposed optimization model recommends stocking a total of 434 units with a required capital investment of Rp1,376,733. The model also demonstrates the ability to reduce the risk of dead stock while improving Sales Per Day (SPD) target achievement. Conclusions: The implementation of Linear Programming through the Simplex method can support more efficient inventory management and enhance profitability in modern retail operations. The optimization model provides a practical basis for improving logistics and stock allocation decisions. Originality/value: This study contributes by applying a mathematical optimization approach to inventory allocation in a modern retail context, particularly in minimizing dead stock risk and maximizing sales performance under operational constraints.
Co-Authors Adam Nurkholik Adella, Reghina Afifah Nida Suhailah Boru Dalimunthe Agil Badawi Agriyani, Siti Agung Kurniawan Benedictus Marpaung Alberto Inzaghi Haposan Pasaribu Amelia, Rika Anggi Pratiwi Sitorus Anggraini, Helda Azhari, Shofwan Sasri Bela Magdalena Bella Amelia Desi Irawan Lestari Dhaet Fretty Napitupulu Evani, Ruthania Evi Suryani Harahap Fadia Aprilia Fahira, Diana Felysha Putri Saulina Siregar Fikri Al Kautsar Gavriel, Lemuel Hezekiah Gevy Ketia Ginting Gita Andhara Nasution Hasibuan, Ahmad Rusdi Pasya Hawani, Saniah Lidiya Imamul Khaira Irma Siagian Jekson Sihombing Kayla Syafitri Harahap Lenny Kartika Saragih Luna Selciella Manurung, Heva Gracia Marpaung, Dhea Gysela Meiman Kasih Lase Miftahussa’idah Miftahussa’idah Muhammad Alhasymi Matondang Nabila Khairunnisa Nabilla Alya Naila Najwa Fauziah Naufal Ihsan Hadi Mukhtar Nazla Khania Nazura, Ananda Nurhalimah Pandia, Ahmad Hidayat Pangaribuan, Hawila Sabta Richna Handriyani Riza Indriani Rut Yosepina Sinaga Samuel Rillie Aritonang Shella Halim Shintami Oktavia Sidabutar, Cris Diana Sipahutar, Paskah Gloria S. Sipayung, Gerry Afriando Siregar, Waidan Nur Sormin, Imanuddin Husayn Surya, Aurel Ramadhanti Syati Manaharawan Siregar Tangkas, Maria Gabriel Oktriana Tasya Chintain Simanjuntak Tiara Mahdalena Pandiangan Wajra Ceyna Cakti Tarigan Yeny Elfina Siagian Yohanes Afrinkus Yose Renaldy Sinaga Yosua Alberto Siregar Yudhistira Sadewa Zahira, Tira Al