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Journal : Jurnal Informatika Ekonomi Bisnis

Analysis of Organizational Justice, Competence and Work Motivation to Improve the Performance Miko Andi Wardana; Yanita; I Wayan Eka Sudarmawan; Teguh Setiawan Wibowo; Hendrik Pandiangan
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 2 (June 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i2.589

Abstract

This study examined the influence of organizational justice, competence, and work motivation on the performance of Denpasar city government. The results indicated that organizational justice, competence, and work motivation had positive and significant effects on employee performance. When employees perceive fairness and justice within the organization, possess the necessary competencies, and are motivated to excel in their work, it positively impacts their performance. The combined influence of these variables accounted for 60.4% of the variance in employee performance, indicating a relatively strong relationship. Based on the findings, it is recommended that Government Office focus on promoting fairness and justice, developing employee competencies, and sustaining motivation to enhance performance. Implementing policies and practices that ensure fairness, providing training and development opportunities, and fostering a supportive work environment can lead to a productive and satisfied workforce, resulting in improved performance outcomes and better service delivery to the community. However, it is essential to consider other factors that may also influence employee performance but were not included in this study.
Unlocking Purchase Preferences: Harnessing Psychographic Segmentation, Promotion and Location Strategies Miko Andi Wardana; Adi Masliardi; Nur Afifah; Mohamad Sajili; Hasti Pramesti Kusnara
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 3 (September 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i3.624

Abstract

This research examines the impact of Psychographic Segmentation, Promotion, and Location on consumers' Purchase Decisions. Data were collected through an online questionnaire distributed to 90 respondents who had visited hotels in Denpasar, Bali. Statistical techniques such as validity and reliability tests, correlation analysis, and multiple regression analysis were employed for data analysis. The findings indicate that Psychographic Segmentation significantly influences Purchase Decisions. Categorizing buyers based on psychological traits, lifestyle, and values plays a crucial role in shaping consumer preferences and motivations. Promotion also has a significant impact on Purchase Decisions, as effective promotional strategies create awareness and persuade target customers. Additionally, the Location of a business emerges as a critical factor, with strategic placement influencing customers' buying decisions. The regression analysis reveals that Psychographic Segmentation, Promotion, and Location collectively explain approximately 75.1% of the variance in Purchase Decisions. However, it is important to note that factors beyond the study's scope, such as product quality, pricing, brand reputation, and customer service, may also influence purchase decisions. These insights provide valuable guidance for businesses in developing targeted marketing strategies to enhance their competitive advantage. Understanding consumers' psychographic profiles, implementing effective promotions, and strategically locating operations can significantly influence Purchase Decisions, leading to increased sales and overall business success. Future research could explore additional variables to gain a more comprehensive understanding of consumer behavior in purchase decisions.
Exploring the Resilience of Vocational Training Instructors: Validating Resilience Measurement for Effective Coping in Education and Career Development Challenges I Wayan Eka Sudarmawan; I Made Hadi Purnantara; Miko Andi Wardana
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 4 (December 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i4.768

Abstract

This research presents a comprehensive exploration of vocational training instructors at Training Centers (LPK) in Denpasar, focusing on the validation of the 10-item CD-RISC scale as a measure of resilience. Utilizing SPSS software for discriminant item analysis, the study confirmed the suitability of all scale items, establishing their reliability in assessing resilience within the unique context of vocational training. The calculated corrected item-total correlations indicated a robust relationship between individual items and the overall scale. Cronbach's Alpha coefficients, consistently high at 0.963 both overall and based on standardized items, underscored the internal consistency of the 10-item CD-RISC scale. This research contributes to the understanding of resilience among vocational training instructors, emphasizing the importance of tailored measurement tools for specific contexts. The affirmed reliability of the scale suggests its utility for future research endeavors aimed at enhancing the resilience of vocational training instructors in Denpasar. Beyond academic implications, this study holds practical value for improving training programs and supporting instructors in navigating the challenges inherent in their profession.
From Clicks to Conversions: Mastering Data-Driven Marketing for Maximum ROI Aditi, Bunga; Wardana, Miko Andi; Yuliani, Erma
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1135

Abstract

This study investigates the impact of data-driven decision making and marketing automation using artificial intelligence on return on investment, with customer engagement examined as a mediating variable. Employing a quantitative research design, data were collected through an online survey targeting professionals in digital marketing and e-commerce sectors. The analysis was conducted using Partial Least Squares Structural Equation Modeling, which validated both the measurement and structural models. The results reveal that data-driven decision making and marketing automation using artificial intelligence significantly influence customer engagement, which in turn has a strong and positive effect on return on investment. Furthermore, customer engagement mediates the relationship between both predictor variables and return on investment, suggesting that the financial benefits of digital strategies are maximized when they successfully foster active and meaningful customer interactions. These findings highlight the importance of integrating analytical tools and technological innovations with customer-centric engagement strategies to achieve sustainable marketing performance in digital environments.
Slot Time Policy and Dual-Use Coordination: Managing Training Flight Operations at Banyuwangi Airport Mubarok, Ahmad; Wardana, Miko Andi; Prasetyo, Kukuh Tri
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1159

Abstract

Regional airports increasingly face operational challenges as they accommodate both commercial aviation and pilot training activities within limited infrastructure and airspace. Banyuwangi Airport in East Java, Indonesia, represents a dual-use facility that has adopted a time-based slot allocation system to manage growing traffic from airlines and aviation academies. This study analyzes the structure and effectiveness of the airport’s slot time policy using a qualitative-descriptive approach based entirely on secondary data, including policy documents, operational manuals, and scholarly literature. The findings show that while the policy provides functional time segmentation-allocating daytime hours for commercial operations and nighttime for training-it lacks formal regulatory support and is executed through manual, informal coordination. These limitations are compounded by infrastructural constraints such as a single runway, limited apron capacity, and the absence of digital scheduling tools. Additionally, relegating flight training to nighttime hours compromises the quality of visual flight instruction. The study concludes that although the existing policy reduces immediate operational conflict, it is not sustainable in its current form. Strengthening the policy through regulatory formalization, infrastructure enhancement, and digital slot coordination platforms is essential for ensuring both operational efficiency and the long-term viability of Indonesia’s aviation training sector.
Co-Authors Adi Masliardi Adinata, Sherryn Naomi Aracelli Evalia Ardian, Dede Ariyanti, Ni Wayan Astuti, Ni Luh Gde Sari Dewi Bagus Putu Wahyu Nirmala Bintoro, Philia Carolina Bunga Aditi Daniel Dewantoro Rumani Dede Ardian Denok Lestari Dewa Putu Kiskenda Erwanda Putra Dhety Chusumastuti Fajar Islam Fatimah Abdillah Gde Bayu Surya Parwita Gracia, Gabriela Halim, Jessica Hari Kurniawanto Hasti Pramesti Kusnara Helendra Helendra Hendrik Pandiangan Hendrik Pandiangan Heryana, I Putu Agus I Gusti Ngurah Bagus Suarna Putra I Ketut Widnyana I Made Darsana I Made Darsana I Made Hadi Purnantara I Made Hadi Purnantara I Wayan Eka Mahendra I Wayan Eka Sudarmawan I Wayan Eka Sudarmawan I Wayan Suartina Islam, Fajar Jaya, I Kadek Adi Anan Juniarta, Pande Putu Jusri Jusri Kadek Ayu Ekasani Kadek Wira Adi Saputra Karundeng, Deby Rita Kespandiar, Tengku Komang Sumerta Komang Sumerta Kusnara, Hasti Pramesti Mohamad Sajili Mubarok, Ahmad Muhammad Afif Musran Munizu Ni Nyoman Kerti Yasa Ni Putu Isha Aprinica Nirmala, Bagus Wahyu Nur Afifah Nurlela Nurlela Nurlia Nurlia Parwati, Komang Shanty Muni Prasetyo, Kukuh Tri Purnantara, I Made Hadi Pusparini , Ida Ayu Gede Mirah Putu Laksmita Dewi Rahmayanti Putu Sabda Jayendra Qhonif, Laila Rahmayanti, Putu Laksmita Dewi Rini Tresnasari Risman Risman Rochida, Nafana Aulia Sajili, Mohamad Semara, I Made Trisna Sudarmawan, I Wayan Eka Surya Wijaya, Nyoman Susanti, Putu Herny Susilowati, Ervan Sutantri Sutantri Teguh Setiawan Wibowo Teguh Setiawan Wibowo Tonny Yuwanda Widiantara, I Ketut Agus Widiarsa, Jennifer Wiyasha, Ida Bagus Made Yanita YANITA YANITA Yuliani, Erma