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All Journal Journal La Multiapp Indonesian Journal of Innovation Studies
Annisa, Zhudiah
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Law, Crime, Criminology & Criminal Justice

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Regression Model to Predict Production Rate Based on Market Demand in Medical Devices Manufacturing Company: Model Regresi Untuk Memprediksi Angka Produksi Berdasarkan Permintaan Pasar di Perusahaan Manufaktur Alat Kesehatan Mulyadi, Akmad; Annisa, Zhudiah; Syahrorini, Syamsudduha
Indonesian Journal of Innovation Studies Vol. 26 No. 1 (2025): January
Publisher : Universitas Muhammadiyah Sidoarjo

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Abstract

This study aims to explore the use of regression models in predicting production figures at PT. Manufaktur Alkes Rumah Sakit, a company engaged in the manufacturing of medical devices, based on market demand. The purpose of this study is to understand the relationship between demand and production and to develop an accurate regression model. The results of the analysis show that every one unit increase in market demand can increase the average production figure by 0.803 units. This finding is expected to help management in planning production more effectively and responsively to market dynamics. In addition, this study recommends that further analysis be carried out by considering other variables to improve prediction accuracy.
Development of an Automated Infrared Therapy System Based on MLX90614 Sensor for Muscle Pain Treatment Annisa, Zhudiah; Falah, Agus Hayatal; Wisaksono, Arief; Saputra, Dwi Hadidjaja Rasjid
Journal La Multiapp Vol. 7 No. 3 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i3.3139

Abstract

This study aims to design and evaluate an automatic infrared therapy system capable of maintaining temperature stability within a safe and controlled range. The system utilizes a non-contact infrared temperature sensor MLX90614, an ultrasonic distance sensor HC-SR04, an Arduino Uno microcontroller, and an infrared lamp regulated by a pulse width modulation (PWM) signal. Temperature control is implemented using a proportional control (P-Control) method, while sensor data is processed using a moving average filter to reduce measurement noise. Experimental testing was conducted by comparing system responses without control and with P-Control at three distance variations, namely 15 cm, 30 cm, and 45 cm. The results show that the uncontrolled system produced a temperature deviation of ±1.8°C, while the implementation of P-Control reduced the deviation to ±0.6°C at a setpoint of 45°C. However, the achieved average temperature varied depending on distance, with values ranging from 35.27°C to 42.61°C across all test conditions. These results indicate that the application of P-Control combined with a moving average filter is effective in improving temperature stability, although the heating performance is influenced by the distance between the sensor and the object. This system demonstrates potential for safer and more controlled infrared therapy applications.
Co-Authors Agus Hayatal Falah Arief Wisaksono Dwi Hadidjaja Mulyadi, Akmad Syahrorini, Syamsudduha