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tutiaditama
Indonesian National Military Air Force
Aerospace Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science

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SHIELDING, SAFETY ZONING, WORK ROTATION, AND PERSONAL MONITORING FOR RF-EMF EXPOSURE REDUCTION IN RADAR-RELATED OCCUPATIONS: AN BAYESIAN NETWORK META-ANALYSIS BASED ON RECONSTRUCTED STUDY-LEVEL COMPARATIVE DATA Muhammad Sobri Maulana; Dwitia Pratiwi; Arditya Prayogi; Nur Priyanto; tutiaditama; Anwar Hendro
Jurnal TNI Angkatan Udara Vol 5 No 4 (2026): Jurnal TNI Angkatan Udara Triwulan Keempat
Publisher : Staf Komunikasi dan Elektronika, TNI Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62828/n1dfbj84

Abstract

Military and radar workplaces can expose personnel to radiofrequency electromagnetic fields (RF-EMF), especially during maintenance, proximity to transmitting elements, or poorly controlled duty cycles. Published occupational surveys suggest that routine radar exposures are usually below occupational limits, but hotspot scenarios and accidental overexposure remain plausible. To compare four workplace RF-EMF mitigation strategies relevant to radar-related occupationsshielding, safety zoning, work rotation, and personal monitoringusing an Bayesian network meta-analysis (BNMA). A structured scoping review of authoritative guidance and occupational exposure literature was used to define intervention nodes, realistic operating ranges, and the primary outcome: time-weighted RF-EMF exposure expressed as a fraction of the applicable occupational limit. A reconstructed dataset of 14 two-arm comparative studies was analyzed using a Bayesian random-effects network model with weakly informative priors and 50,000 posterior draws obtained through numerical integration over between-study heterogeneity. As results, shielding produced the largest reduction versus usual practice (mean difference -16.0 percentage points of the occupational limit, 95% credible interval [CrI] -19.5 to -12.4), followed by safety zoning (-11.0, 95% CrI -14.6 to -7.4), work rotation (-7.7, 95% CrI -11.3 to -4.2), and personal monitoring (-7.3, 95% CrI -11.0 to -3.7). Shielding had a 99.2% probability of being the best intervention and a SUCRA of 0.998. Posterior between-study heterogeneity was low (mean tau 0.011; 95% CrI 0.001 to 0.033). In this framework, engineering control through shielding outperformed administrative and surveillance-based strategies, while safety zoning was the strongest non-engineering option. Because the evidence network is reconstructed rather than derived from a mature corpus of comparative field trials, the findings should be used for prioritization, teaching, and local study designnot for direct regulatory adoption without site-specific measurements.
REAL-TIME RECOGNITION OF ROTATIONAL HANDMOVEMENTS USING MEDIAPIPE AND OPENCV Yenni Astuti; Maria Asumpta Deny Kusumaningrum; Anggraini Kusumaningrum; Riani Nurdin; Mayang Sativa; Nur Priyanto Poupon; Tutiaditama
Jurnal TNI Angkatan Udara Vol 5 No 4 (2026): Jurnal TNI Angkatan Udara Triwulan Keempat
Publisher : Staf Komunikasi dan Elektronika, TNI Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62828/5r385216

Abstract

This study proposes a real-time gesture recognition system for detecting rotational hand movements (pitch, yaw, and roll) using MediaPipe and OpenCV for extracting features and classifying gestures. The method extracts angular features from hand landmarks and classifies gestures via a lightweight rule-based approach. The system was tested under twelve environmental scenarios, combining four distances (50 – 450 cm) and three lighting conditions, with 1,500 gesture samples from 10 participants. Results show 100% accuracy at 50 cm and 200 cm across all lighting conditions, with up to 93.3% accuracy at 300 cm, surpassing similar rule-based systems in performance. These findings demonstrate a low-cost, contactless solution for interactive systems
QUALITY CONTROL OF T – BOLT CLAMP PRODUCTS USING THE SEVEN TOOLS METHOD: A CASE STUDY OF PT XYZ Waspada Tedja Bhirawa; Basuki Arianto; Erwin Wijayanto; Hendri Himawan; Nur Priyanto; tutiaditama
Jurnal TNI Angkatan Udara Vol 5 No 4 (2026): Jurnal TNI Angkatan Udara Triwulan Keempat
Publisher : Staf Komunikasi dan Elektronika, TNI Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62828/nws91874

Abstract

This research aims to identify and anticipate the dominant types of defects, so that the root causes can be analyzed and corrective actions can be proposed based on statistical quality control. The production of T‑bolt clamps at PT XYZ in 2025 revealed significant fluctuations in product quality, with an average defect rate of 2.54% from a total of 360,706 units manufactured. The peak defect rate occurred in July, reaching 4.8%, indicating systemic issues in the manufacturing process. This study aims to identify the dominant defect types, analyze their root causes, and propose corrective actions based on statistical quality control.The Seven Tools of Quality—Check Sheet, Pareto Chart, Fishbone Diagram, Histogram, Control Chart, Scatter Diagram, and Stratification—were applied to systematically evaluate production data. Results show that Dimensional Deformation was the most critical defect, accounting for 43.25% of total defects. The Fishbone Diagram revealed contributing factors across human, machine, material, method, measurement, and environmental categories. Histogram and Control Chart analyses indicated that the process was generally stable, though several periods exhibited special cause variation. The Scatter Diagram demonstrated a positive correlation (r =0.68) between workplace temperature and defect occurrence, while Stratification confirmed that Machine B produced significantly more defects than Machine A ( p<0.05).In conclusion, dimensional defects are primarily influenced by environmental conditions and machine performance. Recommended improvements include workplace temperature control, regular machine calibration, operator training, and continuous monitoring through statistical process control. These measures are expected to reduce defect rates below 3% and enhance long‑term production stability.
Co-Authors Anggraini Kusumaningrum Anwar Hendro Arditya Prayogi Basuki Arianto Dwitia Pratiwi Erwin Wijayanto Hendri Himawan Maria Asumpta Deny Kusumaningrum Mayang Sativa Muhammad Sobri Maulana Nur Priyanto Nur Priyanto Poupon Riani Nurdin Waspada Tedja Bhirawa Yenni Astuti