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Is Online Learning Effective Implemented in the Outbreak of Covid-19? (An Evaluation Approach in the Vocational High Schools) Dwi Novita Sari; Syukrul Hamdi
Jurnal Pendidikan Teknologi dan Kejuruan Vol 27, No 2 (2021): (October)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v27i2.36107

Abstract

The online learning policy has been implemented in Indonesia at all levels of education since March 2020 to prevent the COVID-19 pandemic from spreading. This study aims to evaluate the implementation of accounting learning with an online system using the CIPP (Context, Input, Process, Product) evaluation model. The research subjects consisted of 14 teachers and 256 Vocational High School (VHS) students majoring in Accounting and Finance in Purworejo Regency. The analysis technique used questionnaires and documentation. The results showed that: (1) the success rate of the online accounting learning system in the context aspect obtained a mean score of 3.07 (76%) with a good category; (2) the success rate of online accounting learning system on the input aspect obtained a mean score of 2.81 (72)% in a good category; (3) the success rate of online system accounting learning in the process aspect obtained a mean score of 2.76 (67%) with a good category; (4) the success rate of the online accounting learning system in the product aspect obtains a mean score of 2.98 (75%) with a good category. Based on the results of the study, it can be concluded that the implementation of online system accounting learning during the COVID-19 pandemic is in a good category.
TANTANGAN DAN PELUANG IMPLEMENTASI ARTIFICIAL INTELLIGENCE PADA PERBANKAN Dwi Novita Sari
JMBA Jurnal Manajemen dan Bisnis Vol 9 No 1 (2023): APRIL
Publisher : Institut Bisnis dan Multimedia asmi

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Abstract

Revolusi industri 4.0 adalah transformasi industri keempat yang ditandai dengan pesatnya perkembangan teknologi dan terjadinya interkonektivitas antara perkembangan teknologi dengan pemanfaatannya yang dapat memunculkan hal-hal baru yang belum pernah terjadi pada revolusi industri sebelumnya, salah satunya adalah munculnya teknologi Artificial Intelligence (AI) atau yang kita kenal dengan kecerdasan buatan. Penelitian ini bertujuan untuk mengkaji tantangan dan peluang AI dalam sector perbankan. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan kualitatif. Data penelitian dikumpulkan dengan menggunakan Teknik studi literatur yang bersumber dari artikel, jurnal dan dokumen-dokumen yang relevan dengan kajian. Analisis data dilakukan dengan melakukan pencatatan dan penyajian kajian Pustaka terkait. Hasil penelitian menunjukkan bahwa AI berperan penting dalam kemajuan perbankan di Indonesia terutama pada bidang open banking yang merupakan peralihan dari close banking. Tantangan dan peluang AI terdapat pada empat aspek pokok yaitu 1) Data; 2) Sumber Daya Manusia; 3) Etika dan Regulasi; dan 4) Riset dan Inovasi
KPI-Based Performance Appraisal and Employee Salary Increase Decisions: A Qualitative Study at PT Sucorinvest Asset Management Jakarta Hilman Hidayat; Ratnawati Prayogi; Bambang Rismadi; Dwi Novita Sari
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6794

Abstract

This study aims to analyze the implementation of Key Performance Indicators (KPI) as a basis for determining employee salary increases at PT Sucorinvest Asset Management, Jakarta. Effective human resource management requires an objective performance measurement system to ensure that employee contributions are aligned with organizational goals and compensation policies. In this context, KPI serves as a strategic tool for measuring employee performance through measurable indicators and supporting managerial decision-making related to remuneration. This study employed a descriptive qualitative approach. Data were collected through in-depth interviews, observations, and documentation involving seven informants representing managerial and operational levels within the organization. Data analysis followed the interactive model of Miles, Huberman, and Saldaña, consisting of data condensation, data display, and conclusion drawing. The findings indicate that the company has implemented a KPI system based on the Balanced Scorecard approach, integrating financial, customer, internal process, and learning and growth perspectives into employee performance evaluation. KPI has been utilized as an important reference for salary increase decisions and performance monitoring. However, several challenges were identified, including inconsistent KPI socialization among employees, limited transparency in the conversion of KPI scores into salary increase percentages, variations in KPI monitoring practices across divisions, and the influence of external business conditions on KPI target achievement. These issues affect employees’ understanding and perceptions of fairness regarding the performance evaluation process. The study concludes that KPI provides a structured framework for performance appraisal and supports more objective salary increase decision-making. The findings highlight the importance of consistent KPI communication, greater transparency in remuneration mechanisms, and adaptive performance targets to enhance the effectiveness of KPI-based performance management systems.
Analysis of Technostress and Its Impact on Lecturer Performance in Technology-Based Learning Sundari Soekotjo; Dwi Novita Sari; Hardianawati Hardianawati; Indria Sukma Sektiyaningsih; Mintarsih Mintarsih; Pingkan Luciawati Sompi; Rochayati Febriarhamadini; Dina Agnesia Sihombing; Prasastiara Eka Marsella
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.7543

Abstract

This study investigates technostress among lecturers in private universities under LLDIKTI Region III Jakarta and examines its impact on lecturer performance in technology-based learning environments. Employing a qualitative case study approach, data were collected through semi-structured in-depth interviews with 15 lecturers from various academic ranks, supported by observation and document analysis. Data were analyzed using the interactive model of Miles, Huberman, and Saldaña, involving data condensation, data display, and conclusion drawing. The findings reveal that lecturers experience multiple dimensions of technostress, including techno-overload, techno-invasion, techno-complexity, and psychological strain. Techno-overload emerges as the most dominant form, characterized by increased workload and continuous digital demands. Techno-invasion reflects the erosion of work–life boundaries due to constant digital connectivity, while techno-complexity highlights adaptation challenges to rapidly evolving technologies. These conditions collectively contribute to psychological outcomes such as stress, fatigue, and emotional exhaustion. Although technology enhances instructional flexibility and learning innovation, it simultaneously generates a paradox of increased cognitive and emotional burden. The study further finds that technostress influences lecturer performance in both enabling and constraining ways, depending on individual digital competence and institutional support. Lecturers adopt various adaptive strategies, including peer collaboration, self-directed learning, and participation in training programs, to mitigate technostress. The study concludes that technostress is not merely an individual issue but an organizational phenomenon embedded within digital transformation in higher education. The findings provide implications for developing sustainable digital policies and strengthening institutional support systems to enhance lecturer well-being and performance.