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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 48 Documents
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Analysis of Pressure Stability on Hydrostatic Test Pressure Control Equipment Using Barton Chart Recorder Muhammad Fathur Ruhma; Farid Daniel Abizard; Muhammad Yazid Rizky W; Fazal Achmad
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 4 No. 01: 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.v4i01.478

Abstract

Pressure control equipment is essential for maintaining operational safety and well integrity in oil and gas well operations. This study analyzes pressure stability during hydrostatic testing of lubricator, stuffing box, and pumping tee components at PT. Nesitor workshop, Balikpapan, using a Barton Chart Recorder as the pressure‑monitoring instrument. A qualitative descriptive approach combined with quantitative data analysis was applied based on direct field observation. The research population comprised all pressure control equipment handled by the workshop, while the sample was limited to lubricators, stuffing boxes, and pumping tees instrumented for hydrostatic testing. The Barton Chart Recorder was used as the main instrument, supported by pressure gauges and the Pressure Test System software. Data were analyzed by interpreting pressure‑chart patterns and evaluating pressure stability, holding time, and leak detection. The tests followed API SPEC 6A in three stages: 200 psi for 5 minutes, 5,000 psi for 5 minutes, and 10,000 psi for 15 minutes. The results show that pressure remained stable without any drop in all stages, indicating no leakage and acceptable structural integrity. The conclusion is that standardized API‑based procedures, systematic component identification, and the Barton Chart Recorder provide a reliable basis for evaluating pressure control equipment condition
Rational Design of an IoT-Based Automated Mini Maggot Farm for Optimizing Organic Waste Management Adi Purnama Syukri; Muhammad Anwar
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 2 No. 02: Driving Efficiency and Innovation: Transforming Organizations in the Era of Digital A
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v2i02.490

Abstract

This The increasing volume of household and market organic waste has become an environmental issue that requires effective and sustainable solutions. Cultivating Black Soldier Fly (BSF) maggots is one method capable of reducing organic waste while producing economically valuable products. However, traditional maggot cultivation still faces challenges in maintaining environmental conditions such as temperature, humidity, air quality, and inconsistent feeding schedules. This study aims to design and implement an Internet of Things (IoT)-based automated mini maggot farm to optimize organic waste management. The research method used is the Waterfall model, which includes planning, analysis, design, implementation, and system testing stages. The system utilizes an ESP32 microcontroller as the main controller, a DHT22 sensor for monitoring temperature and humidity, an MQ-135 sensor for detecting air quality, and an RTC DS3231 module for automated feeding schedule management. Additionally, the system is equipped with actuators such as fans, heaters, and servo motors that operate automatically based on environmental conditions. The system monitoring is conducted in real-time using the Blynk application and local display through an LCD. The testing results indicate that the system operates stably and is capable of monitoring and controlling the mini maggot farm environment automatically. The implementation of this system improves efficiency and consistency in maggot cultivation compared to manual methods. Therefore, the IoT-based automated mini maggot farm can serve as an effective solution for optimizing organic waste management and supporting sustainable smart farming practices.
The Role of SWOT Analysis in Improving HR Effectiveness and Employee Performance Case Study: CV 06 Production Miranda Astari; Yusleli Herawati; Hadi Jauhari
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 4 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

Abstract

This study aims to analyze the implementation of human resource management (HRM) and its impact on employee performance at CV. 06 Production, using a SWOT analysis as an evaluation tool. The research approach used was descriptive qualitative, with data collection methods including in-depth interviews, documentation, and direct observation of event implementation by the internal team. The results indicate that internal strengths such as team competence, effective communication, and prompt problem-solving significantly support employee performance. However, weaknesses in the organizational structure exist, such as the lack of a dedicated HR division and a nonstandardized performance appraisal system. The SWOT analysis indicates that employee performance development strategies can be improved through the establishment of an objective indicator-based evaluation system and the enhancement of transparent and continuous training. Therefore, improvements in HRM implementation will increase teamwork effectiveness in every event project undertaken by CV. 06 Production.
Classification of Symptoms of Disease in Early Childhood Using the Decision Tree Algorithm Nissa Albantaniyah; Dede Brahma Arianto
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 4 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.v4i02.494

Abstract

Diseases in early childhood often have similar symptoms, making it difficult to process early diagnosis. This study aims to classify disease symptoms in early childhood using the Decision Tree algorithm. The data used is in the form of child health symptom data which is processed through the pre-processing stage and divided into training data and testing data. The results of the study show that the Decision Tree algorithm is able to classify disease symptoms well and can help the early diagnosis process faster and more systematically. The results of the evaluation show that the implementation of immunization of school children in various regions has quite good achievements, with the percentage of immunization coverage in the range of 66% to more than 90%. This high percentage shows that most children have successfully received immunizations in accordance with the set targets, so that the immunization program can be said to be running consistently and effectively.
Implementation of Random Forest Algorithm to Determine Food Allergies Ratu Aisyah; Dede Brahma Arianto
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 4 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.v4i02.496

Abstract

Food allergy diagnosis faces challenges due to symptom variation and delays in conventional testing. This study aims to classify food allergy types using the Random Forest algorithm on patient data including age, gender, food type, symptoms, and severity. A quantitative experimental design was implemented with a secondary dataset of 1,000 medical records as the population, divided through stratified sampling (train-test ratio 80:20). Data preprocessing included label encoding of categorical variables, followed by supervised classification analysis using Python scikit-learn. The results showed a model accuracy of 85%, precision of 84%, recall of 86%, and F1-score of 85%, indicating strong performance with a balanced error rate in the validation confusion matrix. In conclusion, Random Forest effectively supports the rapid identification of food allergies, potentially serving as a clinical decision-making tool with the need for larger prospective datasets.
Predicting the Risk of Hypertension in Adult Patients Using the Random Forest Algorithm Santinah; Dede Brahma Arianto
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 4 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.v4i02.497

Abstract

Hypertension remains a persistent and widespread health problem in the adult population, yet many cases go undetected due to limited early symptoms and reliance on conventional clinical assessment. This study aims to develop and evaluate a hypertension risk prediction model in adult patients using the Random Forest algorithm. This study employed a quantitative approach with an exploratory–predictive study design based on electronic secondary data, with a descriptive–analytical framework utilizing data mining techniques. The study population comprised all adult patients registered at selected healthcare facilities, while the sample consisted of 120 adult patients selected by purposive sampling from the hypertension risk dataset on Kaggle. The instrument used was a structured electronic medical record table, including age, gender, body mass index (BMI), blood pressure, and relevant medical history. The data underwent preprocessing and encoding, then were analyzed using the Random Forest algorithm on the Python platform with the scikitlearn library. Model performance was evaluated using accuracy, precision, recall, and F1score metrics. The results showed that the Random Forest model provided an accuracy of 87.5%, precision of 91.7%, recall of 84.6%, and F1 score of 88.0%, indicating a strong hypertension risk classification capability. The study concluded that Random Forest can be utilized as a reliable decision support system for early detection of hypertension risk in adult populations, especially when integrated with electronic medical records.
Comparison of the Effectiveness of Digital Scrolling and Linear Text on UPI Student Information Retention Fahrul Virgias; Aufa Akmal Haadi; Muhammad Aqbil Nashrul Ghaniy; Muhammad Fawwaz Al Fayyadh
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 4 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.v4i02.501

Abstract

The digital transformation in education has led to a shift in reading formats, impacting cognitive processes and the way students absorb information. This study aims to examine and compare the effect of digital scrolling and linear text presentation formats on the level of information retention among students. This study employed a comparative quantitative method with a between-subject design. The research sample consisted of 20 active students of Universitas Pendidikan Indonesia (UPI) Bumi Siliwangi Campus, selected using the total sampling technique. The respondents were divided into two treatment groups and evaluated using a questionnaire instrument in the form of a closed-ended objective test with the same reading topic. Data analysis was conducted using the Independent Sample t-test and a robustness test using the Mann-Whitney U test. Descriptively, the research results showed that the linear text group had a higher average retention score (13.30) compared to the scrolling group (12.70). Nevertheless, hypothesis testing confirmed that there was no statistically significant difference between the two groups. The effect size test using Cohen's d yielded a value of 0.323 (small-to-medium category), indicating that the linear text format still provides a meaningful practical impact in supporting the reader's working memory due to text segmentation and more stable visual markers. In conclusion, it is assumed that students have equal adaptive capabilities in consuming both digital media formats; however, the linear text format is considered more optimal for reducing cognitive load.
The Effect of Aggregate Characteristics in the Waisikabiri River in Lilibooi on the Bending Pavement of the Highway; A Quantitative Study Mussa Batkormbawa
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 4 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.v4i02.504

Abstract

This study aims to analyze the effect of flaky and elongated aggregate characteristics from the Waisikabiri Quarry, Lilibooi Village, Ambon Island, on the performance of flexible pavement mixtures using the Asphalt Concrete-Wearing Course (AC-WC) method. The research employed a quantitative experimental approach through laboratory testing based on the Bina Marga 2010 Revision 3 Division 6 specifications. The materials used consisted of coarse aggregates, fine aggregates, asphalt binder penetration grade 60/70, and Portland cement as filler. The tests conducted included aggregate characteristic tests, asphalt characteristic tests, gradation analysis, and Marshall tests to determine stability, flow, VIM, VMA, and VFB values. The results are expected to provide information regarding the feasibility of using flaky and elongated aggregates in asphalt mixtures and their influence on Marshall stability. This research is expected to contribute to the selection of suitable aggregate materials for durable and high-quality road pavement construction.

Page 5 of 5 | Total Record : 48

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