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The Effect Of Digital Competence On Employee Performance Through Artificial Intelligence Adaptation As An Intervening Variable Maulana, Muhamad; Ismail, Gurawan Dayona; Sofianti (Efi), Nunung Ayu; Sudaryo, Yoyo; Aryanti, Asti Nur
Eduvest - Journal of Universal Studies Vol. 6 No. 2 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i2.52588

Abstract

This study aims to analyze the effect of Digital Competence, Technology Readiness, and Leadership Style on Employee Performance through the adaptation of Artificial Intelligence (AI) among employees at PT Sewangi Alam Nusantara. The study is motivated by the need to improve employee effectiveness, efficiency,and work quality in the digital era, where digital literacy,readiness of technological infrastructure, and adaptive leadership are key factors supporting adaptation to AI-based innovations. The research employed a quantitative approach with data collected through questionnaires distributed to 102 employees. Data analysis was conducted using Structural Equation Modeling (SEM)via Smart PLS 3.0 to examine both direct and indirect relationships among variables. The results indicate that Digital Competence (path coefficient = 1.740), Technology Readiness (2.731), and Leadership Style (1.844) positively affect Employee Performance. These three variables also contribute positively to AI Adaptation (0.534; 0.834; 1.063), which significantly mediates the improvement in employee performance (0.423), resulting in a total mediated effect of 0.917. The study concludes that a combination of digital competence, technology readiness, and adaptive leadership, reinforced by AI adoption, is a critical factor in enhancing employee productivity and performance. Practical implications include the need for digital literacy development, upgrading technological infrastructure,and applying leadership styles that support digital transformation to ensure optimal AI implementation in the workplace.
Stock Price Determination: Empirical Evidence from ROA, BOPO, LDR, and Firm Size In Digital Bank of Indonesia (2020-2024) Anka Fandini; Andre Suryaningprang; Riyandi Nur Sumawidjaya; Yoyo Sudaryo
eCo-Fin Vol. 8 No. 1 (2026): eCo-Fin
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/ef.v8i1.3678

Abstract

This study examines the effects of ROA, BOPO, LDR and Firm Size on Stock Price of Indonesian Digital Bank between 2020 and 2024. Employing a quantitative approach that adopts a descriptive and verificative approach, the study looks at 30 financial statements from specific Indonesian Digital Bank industry. The correlations between the variables were evaluated using analysis of multiple linear regression, the coefficient of determination test, traditional assumption tests, as well as the product moment correlation coefficient test such as t-tests and F-tests for assessing hypotheses. The data was processed utilizing SPSS 21.0. According to the test findings that are not complete, all of the variables do not impacted to Stock Price. Including, the simultaneous test findings show that ROA, BOPO, LDR and Firm Size do not have a major influence when combined on Stock Price. According to these results, activity ROA, BOPO, LDR and Firm Size mix are not more important factors in determining Stock Price in the Indonesian Digital Bank industry than short-term, this may result from the procedures employed or a lack of data.
Optimizing The Financial Domain With Robotic Process Automation: Invoice Data Extraction Andre Suryaningprang; Yoyo Sudaryo; Riyandi Nur Sumawidjaja; Andhika Mochamad Siddiq; Dedi Supiyadi
Jurnal Aplikasi Bisnis dan Manajemen Vol. 11 No. 1 (2025): JABM, Vol. 11 No. 1, Januari 2025
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.11.1.255

Abstract

Background: The industrialization process has led to the automation of business processes with the goal of economic efficiency. This research was conducted at a trading company that requires an effective administrative process with time efficiency. So this need becomes a reason for the need for technology. Currently, a new technology has emerged that will revolutionize how humans work in companies, namely Robotic Process Automation.Purpose: This study focuses on first, proposing a model in the scope of financial domain, especially in invoice processing and reconciliation. Second, proposing an RPA solution using UI Path which can be used to improve invoice processing and reconciliation processes. Design: This study uses the Design Science Research (DSR) methodology, so that the research object is the framework of the design itself. There are several steps taken to build RPA, namely (1) Problem Analysis and Motivation, (2) Determining Solution Goals, (3) Designing and Developing Solutions (4) performance evaluation. From the research, the results show that RPA performance has met expectations in terms of: speed.Finding/ Result: The findings of this study indicate that there are limitations in implementation due to variations in invoice formats across different companies. As a result, there is a need for ongoing adjustments and regular updates to the system and hardware to accommodate changes in invoice formats and business processes of each company.Conclusion: According to the study's findings it was concluded that RPA model has a good performance and has already met the side's expectations in terms of speed.Originality/ value (state of the art): The use of Robotic Process Automation (RPA) in financial processes, notably invoice data extraction, is a cutting-edge technology that improves financial efficiency and accuracy. This study, conducted on an Indonesian trading organization, reveals how RPA may be used to streamline financial workflows by automating repetitive, time-consuming procedures, minimizing human error, and enhancing data management processes. Keywords: financial domain, robotic process automation, Design Science Research (DSR), data management, invoice formats
Co-Authors Abdul Aziz Mubarok, Dadan Abdul Aziz, Dadan Ade Salman Alfarisi Adhima, Rio Fauzan agung setiawan Aldi Rahman Lazuardi Alfarisi, Ade Salman Ali , Mochammad Mukti Ali, Mochamad Mukti Amanati, Nuzul Ana Hadiana Ana Hadiana, Ana Andi Sukandi Andre Suryaningprang Andre Suyaningprang Andriasan Sudarso Anggono Raras Tirto Sakti Anggraeni, Yulia Dyah Anik Rahayu, Anik Anindya, Sevina Hanisa Anka Fandini Aprilliani, Pritta Ardinal Djalil Arie Hendra Saputro Arief Yulianto Arief Yulianto Aris Setiyani, Aris Asti Nur Aryanti Astrin Kusumawardani Ayatika, Arini Aziz, Dadan Abdul Budiantara, Jaka Perbawa Cahyono, Yoyok Cellia, Cindy Chaidir, Moehammad Ilham Dadan Abdul Azis Mubarok Dadan Abdul Aziz Dadan Abdul Aziz Dadan Abdul Aziz Dadan Abdul Aziz Mubarok Dadan Abdul Aziz Mubarok Dayan Hakim Natigor Dayona Ismail, Gurawan Dayona, Gurawan Deni Hamdani Diah Febriyanti Diki Wahyu Nugraha Doni Zaelani Dyah Purnamasari E Landitha Karunia Antika Erna Herlinawati Fanji Wijaya Fany Oktaviani Fauzy, Ryan Marshal Febrianto Febrianto, Febrianto Febriyanti, Diah Fina Fahrina Fahrunisa Fitri Julianti Fitriani, Epi Ganesha, Dicky Tri Gunawan, Wulandari Gurawan Dayona Ismail Gurawan Dayona Ismail Gurawan Dayona Ismail Gustiawan, Rudi Hakim Natigor Sipahutar, Dayan Hendi Suhendraya Muchtar Hendriawanto, Hendriawanto Hikmah, Agung Mohamad Hisashi, Rendy Mahardhika Icha Sandrina, Icha Sandrina Irving Ignatius Paul Luntungan Ismail, Dr. Gurawan Dayona Ismail, Gurawan Dayona Ita Kumaratih Juanda, Ujang Jumadil Saputra Kaniasari Wulan Dewi Karunia Antika, E Landitha Khairunisya, Hania Khoirunnisa, Asyifa Kingking Muttaqien Kumaratih, Ita Laela, Sri Lazuardi, Aldi Rahman Lenggogeni, Lenggogeni Lili Suryati Listri Herlina Luntungan, Irving Ignatius Paul Luska Lusyana Sari Manasye Arveni Sinamo Manoakh Nenobais Maulani, Magfira Gifani Meilani, Haifa Syafira Mohamad Arfiman Yosep Mohamad Arfiman yosep Mohd Hassan Che Haat Mohd Yusoff Yusliza Mubarok , Dadan Abdul Muhamad Maulana, Muhamad Muhammad Yusuf Mukti Ali, Mochamad Mukti Ali, Mochammad Munjinadir, Hafid Muttaqin , Ridlwan Nandan Limakrisna Naufal, Aldi Nenobais, Manoakh Nisa, Syakila Sakinatun Noviani, Dinda Nunung Ayu Sofiati Nunung Ayu Sofiati (Efi) Nur Sumawidjaja, Riyandi Nur Sumawidjaya, Riyandi Nuraini, Risda Nurlaela, Ika Nurshifa Putri Irawan Nurul Afifah, Rima Omo Permana Omo Permana Palupi Permata Rahmi Permana, Ari Permana, Omo Pertiwi, R. Dewi Prasetiyo, Wildan Guretno Pratiwi, Nunur Fitri Pujianto, Gatot Purnamasari, Weny R. Rheina Amalina Iskandar Rahmawati, Reni Rama Chandra Jaya Rasti Ristiya Recky Rega, Mochammad Reviana, Raisa Ridlwan Muttaqin Ridwan Ramadhan Rifqi Farisan Akbar Rima Nurul Afifah Rimayani, Rimayani Riyandi Nur Sumawidjaja Riyandi Nur Sumawidjaja Riyandi Nur Sumawidjaja Riyandi Nur Sumawidjaja Riyandi Nur Sumawidjaya Riyandi Nur Sumawidjaya Rizki Fathurrahman Septian Safitri, Meilina Santi Susila Nengsih Sayyidinaa Zahra Ridha Pramitha Siddiq, Andhika Mochamad Siti Nur Asyifa, Alma Siti Sarah, Siti Siti Susanti Sofianti (Efi), Nunung Ayu Sofianti, Nunung Ayu Solihah, Maya Sonia Chandra Utami Suci Fauziah Lestari Sudarmadji, Harrys Sugandi, Akhmad Suhendar Suhendar Sujatmika, Dendi Sumawidjaya, Riyandi Nur Supiyadi, Dedi Surachman Surjaatmadja Surachman Surjaatmadja Susila Nengsih, Santi Sutaryat Trisnamansyah Sutisna Sutisna Syamsul Bachri Thessa Tri Astuty Tjipto Sajekti Triestanto, Johannes Wardana, Wikrama Wiara Sanchia Grafita Ryana Devi Wulandari Gunawan Yosi Josiva Zikri Muhammad Zulfiqar, Mochammad