48 research outputs found
Pengembangan Dashboard untuk Mendukung Revolusi Industri 4.0 PT Kayaba Indonesia
No full textPT Kayaba Indonesia adalah sebuah perusahaan industri manufaktur yang memproduksi shock absorber, front fork, dan oil cushion unit untuk kendaraan bermotor. Untuk bersaing di era Industry 4.0 ini, PT Kayaba Indonesia telah melakukan berbagai upaya digitalisasi ke berbagai bisnis prosesnya melalui berbagai proyek-proyek. Proyek-proyek tersebut ditangani oleh Section Industry 4.0 Departemen Management Information System (MIS). Pada magang/kerja praktik ini, penulis diberikan kesempatan untuk mengerjakan beberapa proyek-proyek yang dimiliki oleh Section Industry 4.0 di Departemen MIS PT Kayaba Indonesia.Pada magang/kerja praktik ini, penulis diberikan sebanyak tiga proyek untuk dikerjakan. Proyek-proyek tersebut adalah Dashboard Automatic Plate Number Recognition, perbaikan Dashboard Damping Force, dan Dashboard PPC Planning Assy. Proyek-proyek tersebut merupakan sebuah aplikasi web serta dikembangkan menggunakan bahasa Python dan PHP. Aplikasi web tersebut nantinya dijalankan pada server perusahaan sehingga dapat digunakan oleh karyawan PT Kayaba Indonesia.
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PT Kayaba Indonesia is an industrial manufacturing company that produces shock absorbers, front forks, and oil cushion units for motor vehicles. To compete in the Industry 4.0 era, PT Kayaba Indonesia has made various digitalization efforts to its various business processes through various projects. These projects are handled by the Industry 4.0 Section of the Management Information System (MIS) Department. In this internship/practical work, the author was given the opportunity to work on several projects owned by Section Industry 4.0 in the MIS Department of PT Kayaba Indonesia.In this internship/practical work, the author was given three projects to work on. These projects are the Automatic Plate Number Recognition Dashboard, Damping Force Dashboard improvement, and PPC Planning Assy Dashboard. These projects are web applications and are developed using the Python and PHP languages. The web application will be run on the company server so that it can be used by employees of PT Kayaba Indonesia
Estimation of reaeration coefficient and metabolism in a stream based on diurnal observation of dissolved oxygen
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HOW CAN WE DESIGN DESIRABLE FLOW CONDITIONS FOR POOLS AND WEIR FISHWAYS FOR EACH SPECIES? - AN EXPERIMENTAL STUDY OF THE SWIMMING BEHAVIOR OF FISH AND FLOW CHARACTERISTICS IN POOLS, FOCUSING ON WEIRS -
No full textStudy on Impact of River Management on Vegetation Dynamics Response in a River Channel Using Hydraulic Simulation and Ecological Modeling
No full textEffects of Geomorphic and Hydraulic Conditions on Primary Production in Midstream Segments
No full textThe relationship between insomnia symptoms and work productivity among blue-collar and white-collar Japanese workers engaged in construction/civil engineering work: a cross-sectional study
No full textBackground: The situation of work productivity loss due to sleep disorders/problems among workers in industrialized societies remains unclear. The purpose of this study was to clarify the prevalence of insomnia symptoms and actual situation of work productivity by job type (white-collars/blue-collars) among construction/civil engineering workers in Japan and evaluate the association between insomnia symptoms and work productivity adjusting for sleep duration and sociodemographic, work-related, and health-related variables.
Methods: This cross-sectional study included 17,828 construction/civil engineering workers (15,837 males and 1991 females) aged 40 to 74 years in Japan. The questionnaire consisted of socio-demographic characteristics, information on work productivity (work performance and absence), respective insomnia symptoms (difficulty initiating sleep; DIS, difficulty maintaining sleep; DMS, and early morning awakening; EMA), bedtime schedule, workrelated factors (job type, working hours), and perceived health condition. To identify the associated factors of work productivity, the logistic regression analyses were conducted.
Results: The percentages of workers who reported to be experiencing DIS, DMS, and EMA were 7.9, 16.3, and 13.1%, respectively. Poor work performance was associated with every insomnia symptom in both the blue-collar and white-collar workers. Meanwhile, absence was associated with DIS in blue-collar workers and both DIS and DMS in white-collar workers; however, not with EMA in both the groups. In blue-collar workers, engagement in shift work was associated with poor work performance.
Conclusions: The present study revealed the association between insomnia symptoms and work productivity, suggesting the necessity of early prevention of insomnia among both blue-collar and white-collar workers
Examination of sites and timing for temporary relocation of lotic unionid mussels toward land readjustment.
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