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All Journal Assets : Jurnal Ekonomi, Manajemen dan Akuntansi Jurnal Kultur Demokrasi Bioeksperimen: Jurnal Penelitian Biologi AKUNTANSI DEWANTARA SEIKO : Journal of Management & Business ISOQUANT : Jurnal Ekonomi, Manajemen dan Akuntansi ASSET: Jurnal Manajemen dan Bisnis Journal of Indonesian Scholars for Social Research Jurnal Visi Manajemen (JVM) The Academy Of Management and Business (TAMB) Gemilang: Jurnal Manajemen dan Akuntansi Lokawati: Jurnal Penelitian Manajemen dan Inovasi Riset J-CEKI Jurnal Pengabdian Masyarakat Manage Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan Jurnal Ilmiah Manajemen Dan Kewirausahaan
Umi Farida
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Analisis Penerapan Kecerdasan Buatan (Artificial Intelligence) untuk Meningkatkan Keamanan Finansial Nasabah pada Sektor Perbankan listyono, rizki; Titi Rapini; Umi Farida
Lokawati : Jurnal Penelitian Manajemen dan Inovasi Riset Vol. 3 No. 1 (2025): Januari : Jurnal Penelitian Manajemen dan Inovasi Riset
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/lokawati.v3i1.1433

Abstract

The use of artificial intelligence (AI) in banking has grown rapidly in recent years, providing opportunities and challenges in dealing with it. AI in the banking world is expected to facilitate use, strengthen customer data security, and optimize risk management. This article aims to analyze the level of customer user experience towards banking services by utilizing artificial intelligence (AI). The analysis technique used in this study is descriptive with a quantitative approach, involving 100 respondents of various ages, various jobs and various educational backgrounds. The main requirement for respondents is that they are customers of various conventional banks in Ponorogo Regency who have used artificial intelligence (AI)-based banking services. Data were collected through questionnaires supplemented with secondary data in the form of documents related to the implementation of artificial intelligence in the banking service system. The application of AI in the banking sector is the detection and prevention of fraudulent transactions in real time, identity verification through biometrics, identity verification through biometrics, chatbots and virtual assistants for customer service, detecting suspicious activity, and the use of smart wallets. The findings in this study explain that artificial intelligence (AI) is able to increase the efficiency of services to customers, provide a better experience, and improve the quality of banking services. Customers are greatly helped by the use of artificial intelligence (AI)
Challenges of Adopting Artificial Intelligence (AI) in Public Policy Decision-Making Qasabandiyah, Muhammad Kholidinna; Muh Ramli; Umi Farida
Journal of Indonesian Scholars for Social Research Vol. 5 No. 2 (2025): JISSR
Publisher : Cendekiawan Indonesia Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59065/jissr.v5i2.261

Abstract

The rapid advancement of Artificial Intelligence (AI) promises to revolutionize public administration by enabling more precise, data-driven, and predictive policy decision-making. Governments worldwide are increasingly aspiring to leverage AI to solve complex societal problems. However, the transition from traditional bureaucratic methods to AI-augmented governance is fraught with systemic difficulties. This study critically analyzes the multifaceted challenges hindering the effective adoption of AI in public policy decision-making. Utilizing a qualitative approach through a systematic review of current administrative practices and technological frameworks, this research categorizes obstacles into technical, organizational, and ethical dimensions. The findings demonstrate that technical challenges are not merely about infrastructure but involve deep-seated issues regarding data quality, privacy, and the interoperability of legacy systems. Organizationally, the study identifies significant resistance due to bureaucratic inertia and a critical shortage of digital talent within the civil service, leading to a disconnect between technical developers and policy practitioners. Furthermore, ethical dilemmas present the most precarious barrier; specifically, the risks of algorithmic bias, lack of explainability (the "black box" phenomenon), and undefined accountability mechanisms threaten public trust. This article argues that without a comprehensive regulatory framework and cultural transformation within government agencies, AI adoption risks exacerbating existing inequalities rather than solving them. The study concludes by proposing a strategic governance model that prioritizes human-centric AI design, continuous capacity building for administrators, and rigorous ethical auditing to ensure that AI serves the public interest effectively.
Pengaruh Work Life Balance, Beban Kerja, dan Kerjasama Tim terhadap Loyalitas Pegawai KPU Kabupaten Ponorogo Tiwi Rahayu; Umi Farida; Riawan Riawan
Jurnal Ilmiah Manajemen dan Kewirausahaan Vol. 5 No. 2 (2026): Mei: Jurnal Ilmiah Manajemen dan Kewirausahaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jimak.v5i2.6832

Abstract

This study aims to analyze the influence of Work Life Balance, Workload, and Teamwork on Employee Loyalty at the General Election Commission (KPU) of Ponorogo Regency. This research applies a quantitative approach using a saturated sampling technique, in which all 34 employees of KPU Ponorogo Regency were selected as respondents. Data collection was conducted through structured questionnaires distributed to all employees. The collected data were tested using validity and reliability analyses to ensure the accuracy and consistency of the research instruments. Furthermore, multiple linear regression analysis was employed to examine the relationship between independent variables and the dependent variable. The coefficient of determination (R²), t-tests, and F-tests were also performed using SPSS version 29 to determine both partial and simultaneous effects. The findings reveal that Work Life Balance, Workload, and Teamwork each have a positive and significant effect on Employee Loyalty. Simultaneously, these three variables also demonstrate a significant combined influence on Employee Loyalty, indicating that effective balance, manageable workload, and strong collaboration contribute to higher employee loyalty.
Co-Authors Adelina Hasyim Adi Santoso Ansar Aprilia Widya Kurniawati Astutik Dwi Rahayu Choirul Hamidah Eka Destriyanto Pristi Eko Wagiyanto evi liana Fery Setiawan Friska Adita Wulandari Putri Hadi Sumarsono Helvy Rafika Krisdiyanti Hermi Yanzi Jayawarsa, A.A. Ketut Jihan Suci Lestari Kurniawaty Laksono Trisnantoro Listyono, Rizki Luluk Nadiroh Masri R Muh Ramli Muhammad Bayu Nirwana Muhammad Luthfi NAHLA RAHMA YUNITA Nindya Sharita Anggraini Pinaryo Pinaryo Putro, Rizki Qasabandiyah, Muhammad Kholidinna REIGION JUMANTORO Riawan Riawan Setyo adji Siti Chamidah Tazkiyah, Firda Auliya Titi Rapini Tiwi Rahayu Yusriadi, Yusriadi Yuvi Safitri Zaenal Fanani