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Ambidextrous : Journal of Innovation, Efficiency and Technology in Organization
Published by PT. Takaza Innovatix Labs
ISSN : -     EISSN : 30317002     DOI : https://doi.org/10.61536/ambidextrous
Core Subject : Economy, Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering
Focus: The primary focus of Ambidextrous is to explore and advance the intersection of innovation, efficiency, and technology within organizational contexts. The journal aims to contribute to the understanding and enhancement of organizational capabilities by examining how innovation strategies, efficiency measures, and technological advancements collectively shape the dynamics of modern organizations. Scope : Alternative Energy Information Technology Artificial Intelligent/Neural Network Innovation Management Change Management and Organizational Adaptability Logistics and Supply Chain Management Efficiency in Operations Manufacturing System Enterprise and Material Resource Planning Occupational Safety and Health Electrical Efficiency Product Design and Development Human Resource Management Quality and Reliability Management Industrial Engineering Sustainability Industrial Ergonomics and Work System Design Technology Management Industrial Management Workforce Well-being and Productivity
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 99 Documents
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The Effectiveness of the Thematic Village Program in Women Farmers' Groups: A Comparative Study of Two Villages in Tangerang Regency Hilva Zakiatul Rahmatian; Kandung Sapto Nugroho
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 01 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i01.577

Abstract

The Thematic Village Program is a local government strategy to foster village self-reliance by empowering Women Farmer Groups (Kelompok Perempuan Tani/KWT), yet its outcomes vary considerably across localities. This study measures and compares the effectiveness of the Thematic Village Program implemented by the KWT of Sodong Village and the KWT of Bojong Renged Village, Tangerang Regency, using Campbell's five program-effectiveness indicators. A comparative-descriptive quantitative approach was applied through total sampling of the entire population of 28 KWT members (13 respondents from Sodong and 15 from Bojong Renged), using a 26-item Likert-scale questionnaire that had passed validity (r count > 0.374), reliability (Cronbach's Alpha > 0.70), normality (Shapiro-Wilk, p > 0.05), and homogeneity (Levene, p > 0.05) tests. The actual-score calculation showed program effectiveness of 78.40 percent in Sodong and 71.15 percent in Bojong Renged, both falling into the good category yet short of the very-good threshold. An Independent Samples t-Test revealed statistically significant differences in three of the five indicators—satisfaction with the program, input-output level, and overall goal attainment (p < 0.05)—with Sodong consistently outperforming. These findings indicate that harvest-revenue management and administrative mentoring are the principal factors differentiating program effectiveness between areas with otherwise similar socio-economic characteristics.
Implementation of Child-Friendly Villages in Karawaci District, Tangerang City Sindy Willys; Listyaningsih; Agung Satrio Wicaksono
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 01 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i01.580

Abstract

Fulfillment of children's rights in Indonesia still faces challenges marked by high cases of violence against children despite the implementation of various child protection policies, including the Child-Friendly Village Program (KRA). This study aims to analyze the implementation of the Child-Friendly Village Program in Karawaci District, Tangerang City using the Van Meter and Van Horn policy implementation model. The study uses a qualitative approach with descriptive methods. Research informants were selected through purposive and snowball sampling techniques involving elements of the Tangerang City DP3AP2KB, sub-district and village governments, Child-Friendly Village administrators, the Children's Forum, and the Karawaci District community. The research instrument was the researcher with data collection techniques in the form of observation, interviews, documentation, and literature studies. Data analysis used the Miles, Huberman, and Saldana models with validity tests through triangulation and member checks. The results of the study indicate that the implementation of the Child-Friendly Village Program has been running quite well in terms of policy dimensions and objectives, human resources, implementer characteristics, disposition, communication, and social environment, but still faces obstacles in the form of limited infrastructure, weak monitoring, suboptimal coordination, and low compliance with operational standards. This study concludes that the implementation of the Child-Friendly Village Program has supported child protection efforts, but the effectiveness of the program still requires strengthening in the aspects of supervision, cross-sector coordination, provision of child-friendly facilities, and increased community participation
Motivation, HR Skills, and Commitment: What Drives Employee Performance? Muhammad Ilyas Alfarizi; Suhendra
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 02 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i02.280

Abstract

This study explores how motivation and human resource (HR) competence influence employee performance, with organizational commitment acting as a mediating variable. Using a quantitative method, questionnaires were distributed to all 59 permanent employees at PT. Indopangan Sentosa. The data were analyzed using path analysis in SPSS. Results show that motivation has a strong, positive effect on organizational commitment and employee performance. HR competence, while not significantly related to commitment, does have a direct impact on performance. Organizational commitment also plays a key role in improving performance. Overall, motivation, competence, and commitment together contribute significantly to employee performance.
A Framework on Optimizing Greenhouse Conditions for Plant Growth using Machine Learning Based on Time-Series Data Nanang Fatchurrohman; Yuli Panca Asmara
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 01 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i01.290

Abstract

This study presents a machine learning (ML) framework for optimizing greenhouse environments to promote efficient plant growth. The approach utilizes time-series data to analyze and predict optimal growing conditions by integrating morphological traits—such as plant height, leaf size, and canopy structure—with dynamic environmental variables, including temperature, humidity, light intensity, and CO₂ levels. The proposed framework follows a structured, six-stage workflow comprising: data acquisition, data preprocessing, feature engineering, model selection and training, model evaluation, and prediction and decision support.. High-resolution sensors continuously collect environmental and plant-related data, which are then cleaned and formatted to handle missing values and temporal inconsistencies. Feature engineering techniques are applied to extract relevant growth indicators and environmental patterns. This framework lays the foundation for an intelligent decision support system that can assist growers in making informed environmental control decisions. By aligning greenhouse microclimates with the specific needs of crops, this approach aims to maximize yield, reduce energy consumption, and minimize resource waste. The adaptability of the framework also allows for its application across various plant species and cultivation setups, making it a scalable solution for modern agricultural operations.
Analysis of the Application of the Canvas Business Model to Generation Z Micro Entrepreneurs (Analysis of the Application of the Canvas Model to Generation Z Micro Entrepreneurs) Fajar Aulia Jar
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 01 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i01.291

Abstract

This study investigates the application of the Business Model Canvas (BMC) to micro-businesses operated by Generation Z entrepreneurs. Employing a descriptive survey methodology, the research collected data from 10 online micro-entrepreneurs through questionnaires. The results revealed that 83% of respondents positively perceived the use of BMC, suggesting its relevance in guiding strategic planning and operational effectiveness. The study contributes a structured model that maps nine key BMC elements to the digital habits and needs of Gen Z entrepreneurs. The findings highlight how BMC enhances business clarity, internal coordination, and motivation.
Peran Teknologi dalam Transformasi Ekonomi dan Bisnis di Era Digital Fajar Aulia Jar
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 01 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i01.293

Abstract

Artikel ini membahas peran teknologi dalam transformasi ekonomi dan bisnis di era digital. Terobosan teknologi seperti kecerdasan buatan, blockchain, dan Internet of Things telah memungkinkan pengembangan model bisnis yang lebih efisien dan inovatif. Dalam artikel ini, dibahas bagaimana teknologi telah mempengaruhi berbagai aspek ekonomi dan bisnis, serta tantangan dan peluang yang dihadapi oleh perusahaan dalam mengadopsi teknologi baru dan mengintegrasikannya ke dalam operasi mereka. Dalam penelitian ini menggunakan metode studi litelatur penggunaan buku, jurnal artikel,dan website resmi. Dengan memberikan gambaran menyeluruh tentang peran teknologi dalam transformasi ekonomi dan bisnis di era digital, artikel ini memberikan pemahamanyang lebih baik tentang bagaimana teknologi dapat membantu perusahaan dan masyarakat untuk mencapai kemajuan yang lebih besar di masa depan.
Eksplorasi Etos Kerja Generasi Z dalam Lingkungan Kerja Hybrid: Studi Kualitatif pada Perusahaan Multinasional Fajar Aulia
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 02 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i02.295

Abstract

The transformation of work structures due to the rapid adoption of hybrid models post-COVID-19 has brought significant changes to how Generation Z constructs and interprets work ethics. As a digitally native cohort, Generation Z highly values flexibility, autonomy, and meaningful engagement, which pose distinct implications for multinational companies aiming to remain competitive in a globalized work environment. This study adopts a qualitative exploratory case study approach to examine how Generation Z employees develop and demonstrate work ethics in hybrid work systems. Twelve participants, selected purposively based on their experience of working in hybrid settings for a minimum of one year, participated in semi-structured in-depth interviews. Thematic analysis was conducted following Braun and Clarke’s framework. Findings reveal that Generation Z perceives work ethic as a function of personal responsibility, digital proficiency, and performance-based autonomy. Participants emphasized trust, transparent communication, and collaborative digital tools as essential to maintaining commitment and discipline. However, they also acknowledged challenges in delineating work-life boundaries, leading to role ambiguity and stress. The study concludes that to foster sustainable work ethics, multinational organizations must adopt flexible yet structured management strategies that align with Generation Z’s values while ensuring accountability. These insights contribute to evolving HR practices in managing digital-era workforce complexities.
Pushing the Limits of Quantum Computing: Variational Algorithms for Solving NP-Hard Problems Austin Wenxuan Li; Lilis Stianingsih; Ana Utami Zainal
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 02 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i02.300

Abstract

This study explores the application of variational quantum algorithms to solve NP-hard combinatorial optimization problems, focusing specifically on the MaxBisection problem. The research introduces an enhanced hybrid quantum-classical framework, HTAAC-QSDP, which combines problem-informed ansatz design with semidefinite programming (SDP) relaxation and iterative optimization. Simulation results across multiple graph instances show that the proposed method achieves approximation ratios consistently above 0.95, approaching classical SDP benchmarks. Experiments also demonstrate the sensitivity of performance to key hyperparameters such as circuit depth, rotation scaling, and learning rate. Additionally, hardware implementation on IBM quantum devices reveals the model’s resilience under noise, provided that initialization and optimization strategies are carefully tuned. The findings suggest that variational quantum approaches can provide high-quality approximations for complex NP-hard problems, even in the noisy intermediate-scale quantum (NISQ) era. The results lay the groundwork for scalable quantum optimization frameworks and support the advancement of quantum advantage in real-world applications.
The Impact of Going Circular: A Financial Analysis of Circular Economy Models for Profitability in the ICT Sector Sydnei Murphy Creel; Nurul Wardhani; Aspiansyah
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 02 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i02.301

Abstract

This study explores the impact of community-based restorative justice (RJ) programs on youth offenders by employing a qualitative comparative case study method. Data were collected through semi-structured interviews, program documents, and observation notes involving participants, facilitators, and community stakeholders. The research investigates how RJ practices influence youth behavior, accountability, recidivism, and reintegration into society. Thematic analysis was conducted to identify recurring patterns in participant experiences and program outcomes. Results show that RJ programs promote emotional healing, reduce recidivism, and strengthen youth-community relations through direct victim-offender engagement and community support mechanisms. Findings highlight the importance of facilitator training, victim involvement, and early intervention in maximizing program effectiveness. The study concludes that restorative justice is a viable and impactful alternative to punitive juvenile systems, offering youth meaningful paths to reform and reconciliation.
Referral Hospital Recommendation System for Patients Based on Diagnosis Data and Severity Level Using the Random Forest Method at Puskesmas Sigambal Zahra Amanda
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 02 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i02.510

Abstract

The process of determining referral hospitals for patients in primary healthcare facilities is often conducted based on subjective considerations without systematic analysis of patient data. In fact, diagnosis data and severity levels play a crucial role in determining appropriate referral decisions. This study aims to develop a referral hospital recommendation system for patients based on diagnosis data and severity level using the Random Forest method at Puskesmas Sigambal. The dataset used in this study consists of 120 patient referral records, including attributes such as age, gender, diagnosis, severity level, and referral hospital as the target variable. Diagnosis and severity level serve as the main variables in the classification process. The research stages include data preprocessing, categorical data transformation, splitting the dataset into training and testing sets with an 80:20 ratio, and building the Random Forest model. The evaluation results using a confusion matrix show an accuracy of 91.4%, precision of 89.8%, recall of 90.5%, and F1-score of 90.1%. These results indicate that the Random Forest method is capable of classifying referral hospitals with good performance based on patients’ diagnosis data and severity levels. Therefore, the developed system can assist healthcare personnel in providing referral hospital recommendations in a more objective, fast, and data-driven manner at Puskesmas Sigambal.

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