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Adaptasi dan Validitas Konstruk Adaptive Performance Scale (APS) di Indonesia Nasution, Eureka Maharani J.; Wicaksono, Bagus
Jurnal Ilmu Perilaku Vol. 9 No. 1 (2025): Jurnal Ilmu Perilaku
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jip.9.1.53-74.2025

Abstract

Adaptive performance reflects an individual's ability to adapt to changes in the work environment. Although the Adaptive Performance Scale (APS) has been widely used, no version has been adapted into Indonesian. This study aims to evaluate the validity and reliability of the Adaptive Performance Scale (APS), developed by Charbonnier-Voirin & Roussel (2012) and adapted for use in Indonesia, as a tool for measuring individual adaptive performance within an organizational context. This research was conducted in two studies. In study 1, the translation process and content validity testing involved 4 translators, 5 expert reviewers, and 7 laypeople. Meanwhile, study 2 involved 322 employees in Indonesia (134 males; 188 females) aged between 18-58 years (mean age = 28.9 years; SD = 8.1), using purposive sampling technique. The entire adaptation process referred to the International Test Commission (ITS) Guidelines for Test Adaptation. Confirmatory Factor Analysis (CFA) was utilized to evaluate the measurement model. The results demonstrated that the APS fulfilled the model fit criteria as a multidimensional construct comprising five factors. The APS also demonstrated good reliability. Overall, this study shows that the APS is valid and reliable, making it suitable for measuring adaptive performance in Indonesia.
Air Quality Monitoring System Design Based on Wireless Sensor Network Integrated with the Internet of Things Budiawan, Irvan; Wigianto, Danu Febri; Wicaksono, Bagus; Hakim, Arif Rohman
ULTIMA Computing Vol 16 No 1 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i1.3694

Abstract

Government and officials set rules to keep the air clean and healthy. To accommodate this, an efficient air quality monitoring system is required. Real-time monitoring is crucial for observing air quality. This allows for immediate action if air quality declines. However, current systems often rely on just one measurement point, risking inaccurate results due to rapid pollutant dispersion. To overcome this problem, researchers propose designing an air quality monitoring system based on a wireless sensor network. Sensor nodes will be installed at various points within the area to be monitored, forming a connected sensor network using the ESP-Now protocol. The data obtained from each node will be sent to the base station, then the data will be transmitted via the Message Queuing Telemetry Transport (MQTT) protocol using the internet network. Thus, this design produces a wireless sensor network that is integrated with the internet of things (IoT). The advantages of the IoT system include ease of data storage and accessibility that can be accessed from anywhere as long as it is connected to the internet and has appropriate authorization.
Penataan Penjadwalan Preventive Maintenance Semua Mesin Milling Wheat Menggunakan Metode TPM (Total Productive Maintenance) Wicaksono, Bagus; Hatta, Mochammad; Nurmawati, Nurmawati; Kusnawati, Ida
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.31900

Abstract

PT X is a factory that processes wheat into flour with roll mill as the main equipment. The wheat used is a blend of Indian wheat and Australian wheat. Indian wheat has a hard texture that can cause the roll grinding to become damaged or dull, increased working amperes,bearing jams, broken belts and motor overload which causes downtime. When a machine or component breaks down, the production process in the company will be disrupted and may come to a halt,  so the target is not achieved and endangers to the company. To keep production machines and equipment working, maintenance processes are carried out properly and regularly. Additionally, the company can implement preventive maintenance steps to prevent and reduce machine downtime. Preventive maintenance is a planned maintenance strategy to prevent potential breakdowns. To reduce the high machine downtime, preventive maintenance is solution . The method chosen in this research is Total productive Maintenance. Based on research results, the overall equipment effectiveness (OEE) values were 85.8% in January, 87.18% in May, 86.69% in June, 85.25% in November, and 85.51% in December. The OEE values that did not meet the standard occurred in February (81.92%), March (81.34%), April (84.73%), July (83.77%), August (79.03%), September (77.05%), and October (81.72%).  The biggest factor that causing losses of overall equipment effectiveness is caused by the high value of the six big losses, particularly the reduced speed losses, which stand at 9%.