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The Importance of Innovative Leadership in Improving Organisational Readiness for Technology Disruption Sunarmo Sunarmo; Puspa Rini; Diah Nurdiana; Nicko Albart; Siti Hasanah
Jurnal Minfo Polgan Vol. 12 No. 1 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i1.12803

Abstract

The rapid development of technology has led to disruption in various industries and sectors. Technological disruption refers to a fundamental change in the way businesses and organisations operate due to the adoption of new technologies that change traditional business models. This research aims to illustrate the importance of innovative leadership in improving organisational readiness in the face of technological disruption. The current research type is qualitative. Data collection techniques include listening and recording important information to conduct data analysis through data reduction, data display, and conclusion drawing. The study results show that innovative leadership plays a very important role in improving organisational readiness to face technological disruption. Technological disruption has fundamentally changed the business landscape, and organisations need to adopt innovative approaches to remain relevant, competitive and sustainable in this dynamic environment. Innovative leadership helps organisations understand the impact of technology, deal with the changing business environment, and improve competitiveness by creating competitive advantage through innovation.
Analysis Of The Influence Of HR Competency, Implementation Of The Regional Financial Accounting System And Internal Control System On The Quality Of The Regional Government's Financial Reports In East Lombok Regency Syawal Zakaria; Nicko Albart; Yudi Nur Supriadi; Aprih Santoso; Loso Judijanto
Jurnal Manajemen Pelayanan Publik Vol 7, No 2 (2023): Jurnal Manajemen Pelayanan Publik
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jmpp.v7i2.50569

Abstract

The formulation of the problem is how does HR competency, implementation of the Regional Financial Accounting System and Internal Control System affect the quality of government financial reports? The research aims to analyze the influence of human resource competency factors, regional financial accounting systems, and internal control systems on the quality of regional financial reports in East Lombok Regency. The main theories are HRM Theory and Financial Reporting Quality Theory. This research uses quantitative methods. Data collection using a questionnaire. The sampling method is a census sampling technique with a population of 45 employees. Data were analyzed using IBM SPSS version 22, analysis using tests: validity, reliability, classical assumptions, linear regression analysis and coefficient of determination. The results of the research, human resource competency, implementation of SAKD, internal control systems influence the quality of regional financial reports at the East Lombok Regency BPKAD Office. In conclusion, the existence of positive interactions, increasing HR competency, implementing SAKD, and a good internal control system contributes to improving the quality of financial reports. These findings serve as a reference for local governments to improve the quality of financial reports which have a positive impact on public trust.
The Influence of Financial Literacy, Income Level and Herding Behavior on Investment Decisions Nicko Albart
International Journal of Economics Development Research (IJEDR) Vol. 5 No. 2 (2024): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i2.5015

Abstract

This research aims to determine the influence of Financial Literacy, Income Level, & Herding Behavior on Investment Decisions in PT workers. AA, in Bekasi Regency. The population in this study are workers who work at PT. AA with a sample size of 246 respondents. The sampling technique uses a probability sampling technique with a simple random sampling type. The data in this research was collected using a questionnaire. Data analysis in this test uses multiple linear regression analysis, coefficient of determination test (adjusted R2) and hypothesis testing. The results of this research show that Financial Literacy, Income Level have a significant influence on Investment Decisions. Meanwhile, Herding Behavior does not have a significant influence on Investment Decisions. However, if tested simultaneously, Financial Literacy, Income Level, and Herding Behavior have a significant influence together on Investment Decisions.  
Pemanfaatan Artificial Intelligence (AI) dalam Sektor Financial Technology (Fintech): Studi Kasus Aplikasi Livin’ by Mandiri Nia Maryana; Nicko Albart; Nurul Huda
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 2: Februari 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i2.7096

Abstract

Penelitian ini bertujuan untuk mengeksplorasi penggunaan Artificial Intelligence (AI) dalam sektor Financial Technology (Fintech) melalu studi kasus aplikasi Livin’ by Mandiri. Sebagai salah satu aplikasi layanan keuangan berbasis digital termuka di Indonesia, Livin’ by Mandiri mengintegrasikan teknologi AI untuk meningkatkan efisiensi operasional, keamanan data, dan pengalaman pengguna. Metode penelitian yang diterapkan menggunakan pendekatan kualitatif dengan melakukan analisis sekunder terhadap literatur dan laporan yang relevan. Temuan penelitian menunjukkan bahwa AI memiliki peranan penting dalam tiga aspek utama (1) Financial Service Automation (FSA) yang mencakup pengelolaan transaksi, layanan nasabah, dan pengingat tagihan otomatis; (2) Digital Security (DS), dengan penerapan AI untuk mendeteksi dan mencegah ancaman siber seperti penipuan dan pencurian data nasabah; dan (3) Customer Data Analytics (CDA), yang memungkinkan proses layanan keuangan melalui analisis pola pengeluaran dan rekomendasi produk berdasarkan data nasabah. Temuan ini menegaskan bahwa pemanfaatan AI dalam aplikasi Livin’ by Mandiri tidak hanya meningkatkan efisiensi dan keamanan, tetapi juga memberikan nilai tambah bagi nasabah melalui layanan yang lebih relevan dan personal. Penelitian ini juga berkontribusi pada literatur.
Review of Factors Affecting Purchasing Power and Investment in Property: A Comparative Study between Indonesia and Neighboring Countries Endah Kusumastuti; Thania Kusmalinda; Yudistira Nugraha; Nicko Albart
Jurnal Indonesia Sosial Sains Vol. 5 No. 11 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i11.1506

Abstract

The disparity in purchasing power and investment in the property sector between Indonesia and neighboring countries has attracted attention in recent years. Various aspects, both macroeconomics and socio-demographics, play a role in creating the dynamics of the property market in each country. This research explores how these factors - including inflation, interest rates, national incomes, and public policies - contribute to purchasing power parity and investment patterns in property. Through the systematic literature review (SLR) approach with 12 articles reviewed. The findings show that Indonesia faces challenges of limited access to credit, unbalanced income growth, while neighboring countries such as Singapore and Malaysia followed by Thailand and Vietnam are able to encourage stronger investment with more stable and investment-friendly economic policies. Hence, the results of this study suggest that Indonesia should adopt some best practices from neighboring countries to increase purchasing power parity and investment in the property sector in a sustainable manner.
Portfolio Efficiency Analysis of JAPFA and Indofood CBP Using the Efficient Frontier Approach: Implications for Food Sector Policy Poppy Yuliani; Bagus Pamungkas; Nicko Albart
Journal Research of Social Science, Economics, and Management Vol. 4 No. 10 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i10.842

Abstract

The Indonesian capital market, particularly the food sector, is undergoing significant changes due to strategic government policies such as the free lunch program, which directly influence market dynamics and investor behavior. This study addresses the problem of how investors can optimize portfolio efficiency between two dominant food sector stocks, JAPFA and Indofood CBP (ICBP), under regulatory uncertainty. The primary objective is to identify an optimal portfolio allocation that balances risk and return using the Efficient Frontier approach developed by Markowitz (1952). Employing a quantitative descriptive method, daily stock price data from January to December 2024 were analyzed to simulate portfolio weights, expected returns, and risks. Results reveal a very low correlation (0.085) between JAPFA and ICBP, indicating strong diversification benefits that minimize portfolio risk without sacrificing returns. An optimal portfolio allocation around 30% JAPFA and 70% ICBP is recommended to maximize investment efficiency. The study's findings have important implications for investors, portfolio managers, and policymakers by demonstrating how diversification in the food sector can hedge against market volatility driven by government interventions. This research enriches the literature on portfolio management by integrating policy-driven market conditions. Future research should explore multi-asset portfolios, incorporate macroeconomic factors, and apply advanced optimization techniques such as artificial intelligence to better navigate complex and evolving market environments.