MUSTEK ANIM HA

Development Of A Web-Based Anti Bribery And Corruption System At PT XYZ

Febriyani Nurhida, Yogi Yulianto, Muhamad Fatchan, Anggi Alfin — Thu, 30 Apr 2026 00:00:00 +0900

This study aims to develop a web-based Anti-Bribery and Corruption (ABC) system for managing vendor data at PT XYZ, which previously relied on Microsoft Forms. The use of Microsoft Forms has several limitations in meeting organizational needs, such as the absence of automatic file management based on vendor identity, lack of role-based access control to differentiate user roles, and the unavailability of a structured multi-step form workflow. Therefore, a system equipped with features such as step-locking logic, auto-foldering based on vendor identity, role-based dashboards, automated email notifications, and cookie-based session security is proposed. The research method used is the Software Development Life Cycle (SDLC) with the Waterfall model, consisting of requirement analysis, system design, implementation, and testing. The results show that the system improves the efficiency of vendor data management, reduces data duplication, and supports compliance with anti-bribery and corruption policies. Thus, the system is considered feasible as a supporting tool for managing vendor compliance in the company.

Experimental Study on the Effect of Nozzle Angle and Blade Number on Hydro Turbine Performance

Ade Putra Maulana — Fri, 01 May 2026 00:00:54 +0900

This study investigates the effect of nozzle angle and blade number on the performance of a small-scale hydro turbine. Three nozzle angles, namely 15°, 30°, and 45°, were tested using three runner configurations consisting of 11 blades, 13 blades, and 15 blades. The turbine performance was evaluated under three flow rate conditions of 3.5 L/s, 4.5 L/s, and 5.6 L/s, and four electrical load levels of 0 W, 5 W, 10 W, and 15 W. The main performance parameters measured were generator rotational speed, voltage, and current. The results showed that both nozzle angle and blade number significantly affected turbine performance. Among the tested configurations, the 30° nozzle angle consistently produced the highest generator speed and voltage output, while the 11-bladed runner demonstrated the best overall performance compared with the 13-bladed and 15-bladed runners. In addition, turbine performance increased with increasing flow rate and decreased with increasing electrical load, whereas the output current showed a slight increase as the load increased. The highest performance was obtained at a flow rate of 5.6 L/s using the combination of a 30° nozzle angle and an 11-bladed runner. These findings indicate that proper optimization of nozzle angle and blade number is essential for improving the efficiency and output of small-scale hydro turbine systems.

Stress and Deflection Analysis of Rear Shock Absorbers of Tubular and Non-Tubular Types on Honda Beat-FI Motorcycles Using SolidWorks Software

Riza Muharni Riza Muharni — Thu, 30 Apr 2026 00:00:00 +0900

The rear shock absorber is a critical component in motorcycle suspension systems, functioning to reduce vibrations and maintain vehicle stability. Structural failure of this component may occur when excessive stress and deflection exceed the material’s allowable limits. This study aims to analyze and compare the stress and deflection characteristics of tube-type and non-tube-type rear shock absorbers used in the Honda Beat FI motorcycle. The analysis was conducted using the Finite Element Method (FEM) through SolidWorks Simulation. Three-dimensional models of both shock absorber designs were developed and subjected to a static load of 800 N, representing normal operating conditions. The material properties were assumed to be homogeneous and isotropic. The simulation evaluated Von Mises stress, strain, total displacement, and factor of safety to assess structural performance. The results indicate that the maximum Von Mises stress occurred at the lower mounting region for both designs. The tube-type shock absorber exhibited a maximum stress of 465.78 MPa and a maximum displacement of 1.6951 mm, whereas the non-tube-type shock absorber showed a maximum stress of 448.19 MPa and a displacement of 1.7983 mm. Comparative analysis reveals that the tube-type shock absorber demonstrates lower deflection and a more stable structural response compared to the non-tube-type design. Both models remain within safe operating limits; however, the lower mounting region is identified as the most critical area. The findings of this study provide valuable insights for the optimization and development of motorcycle suspension systems with improved structural reliability

Corn Leaf Disease Classification Using MobileNetV2 and TensorFlow Lite for Mobile Deployment in Semangga District Merauke

Jarot Budiasto, Hasanudin Jayawardana, Tri Kustanti Rahayu, Nasra Pratama Putra — Thu, 30 Apr 2026 00:00:00 +0900

Deep learning-based corn leaf disease detection studies on the PlantVillage dataset commonly report high accuracy but rarely evaluate comprehensive model efficiency for mobile deployment across conversion formats. This study implements transfer learning with MobileNetV2 architecture for classifying four corn leaf conditions using the PlantVillage dataset (4,188 images), followed by TensorFlow Lite conversion as preparation for Android application deployment. The model was trained using a two-phase approach (feature extraction and fine-tuning). Evaluation results show 91.69% accuracy with a macro F1-score of 90.18%. Confusion matrix analysis reveals three findings: (1) perfect 100% precision on the Healthy class with zero false negatives, guaranteeing the model does not misclassify diseased leaves as healthy; (2) Common Rust as the main confuser due to training data imbalance; and (3) classification confusion between Northern Leaf Blight and Gray Leaf Spot, consistent with their visual symptom similarity. Quantized TFLite conversion yields 89.93% size reduction (25.26 MB to 2.55 MB) without significant accuracy loss. This study serves as a methodological baseline before local dataset collection in Semangga District, Merauke.