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Kontribusi Koordinasi Mata Dan Kaki Terhadap Keterampilan Passing Bermain Futsal Ekstrakurikuler Di SMA Negeri 02 Seluma Pratama, Oki; Mesterjon, Mesterjon; Syaputra, Roni
Educative Sportive Vol 5 No 2 (2024): Educative Sportive, Juli
Publisher : UNIVED Press, Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/edusport.v5i2.6164

Abstract

This study aims to determine the Contribution of Eye and Foot Coordination to Passing Skills Playing Futsal at SMA Negeri 02 Seluma with a type of correlation research using test and measurement methods and documentation. The population in this study were extracurricular futsal players at SMA Negeri 02 with sampling using total sampling techniques totalling 21 players. The results of research on the Contribution of Eye and Foot Coordination to Passing Skills Playing Futsal at SMA Negeri 02 Seluma, it can be concluded that there is a significant contribution between the eye and foot with passing skills in extracurricular players at SMA Negeri 02 Seluma with a correlation coefficient of 0.44. With a sufficient category in the ankle coordination variable, namely with an average of 28.5, while the passing skills variable is in the good category, namely with an average of 28 with normal distribution on each variable, namely the ankle coordination variable obtained the result X² is 1.8 ≤ from x² table 32, 671 and in the passing skills variable obtained the result x²count 1 ≤ x²table 32, 671.
Analisis Penerapan Health Safety and Environment dengan Metode Fault Tree Analysis dalam Meningkatkan Produktivitas Kerja di Laboratorium PT. XYZ Roswandi, Iwan; Pratama, Oki; Junaedi, Didi
Jurnal Media Teknik dan Sistem Industri Vol 7, No 2 (2023)
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jmtsi.v7i2.2435

Abstract

Abstrak— Pesatnya perkembangan perindustrian saat ini menuntut perusahaan harus memiliki karyawan yang banyak sehingga harus memperhatikan kondisi keselamatan dan kesehatan kerja para karyawannya agar kecelakaan kerja dapat di minimalisir. Tujuan dari penelitian ini yaitu untuk mengetahui apakah tingkat kecelakaan kerja yang berpengaruh pada tThe current rapid development of the industry requires companies to have a large number of employees so that they must pay attention to the occupational health and safety conditions of their employees so that work accidents can be minimized. The purpose of this research is to find out whether the level of work accidents has an effect on the level of employee productivity using the fault tree analysis method. From the research results obtained, the frequency rate of work accidents in 2019-2021, where accidents did not increase but decreased, but productivity decreased in 2020, namely 99,95% , this was influenced by the level of the number of hours worked which increased but rose again in in 2021 of 99,98%. Meanwhile, productivity in 2019 was 99,97%. The results of this study are that work productivity increases when the number of work accidents is getting smaller. However, overall the implementation of HSE in this company has been quite good, seen from the relatively small number of work accidents that have occurred in the last 3 years. Pesatnya perkembangan perindustrian saat ini menuntut perusahaan harus memiliki karyawan yang banyak sehingga harus memperhatikan kondisi keselamatan dan kesehatan kerja para karyawannya agar kecelakaan kerja dapat di minimalisir. Tujuan dari penelitian ini yaitu untuk mengetahui apakah tingkat kecelakaan kerja yang berpengaruh pada tingkat produktivitas karyawan dengan metode fault tree analysis. Dari hasil penelitian yang didapat , tingkat frekuensi kecelakaan kerja pada tahun 2019-2021, dimana kecelakaan tidak mengalami kenaikan namun mengalami penurunan, namun produktivitas mengalami penurunan ditahun 2020 yaitu 99,95% hal ini di pengaruhi oleh tingkat jumlah jam kerja yang meningkat namun kembali naik di tahun 2021 sebesar 99,98%. Sedangkan produktivitas di tahun 2019 yaitu 99,97%. Hasil dari penelitian ini adalah produktivitas kerja semakin meningkat apabila angka kecelakaan kerja semakin kecil. Namun secara keseluruhan penerapan HSE di perusahaan ini sudah cukup baik dilihat dari jumlah kecelakaan kerja yang terjadi cukup kecil dalam 3 tahun terakhir.
Design and Analysis of Smart Laptop Table Production with an Ergonomic Approach and Minimalist Design Pratama, Oki; Prabu Hidayat, Trifenaus
Metris: Jurnal Sains dan Teknologi Vol. 26 No. 02 (2025): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v26i02.7378

Abstract

This study focuses on the design and development of a smart ergonomic laptop table with a modern and minimalist aesthetic to enhance user comfort and prevent musculoskeletal disorders during prolonged laptop use. Using the Stanford Design Thinking methodology, the research was conducted through six stages: empathize, define, ideate, prototype, test, and assessment. Data were collected from 26 respondents through surveys and interviews to identify key user needs, including adjustable height and tilt, integrated cooling pad, power socket, and portability. The prototype, constructed from Dutch teak wood and a hollow iron frame, was analyzed through stress, displacement, and strain simulations to ensure structural reliability and durability. The results demonstrated that the final design effectively supports ergonomic posture, reduces discomfort in the neck, back, shoulders, and wrists, and prevents repetitive strain injuries. Additionally, the product combines functional efficiency with an appealing minimalist appearance suitable for modern workspaces. The proposed design not only improves user well-being and productivity but also contributes to sustainable and space-efficient furniture innovation.
Performance Improvement of Quality Monitoring Systems in Imbalanced Data Conditions for Fat-Filled Powder Quality in The Dairy Industry Asrol, Muhammad; Pratama, Oki
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i1.6996

Abstract

Fat-filled powder has the potential to substitute milk in meeting the nutritional needs of the community, but its product quality remains unstable during continuous production processes. A key challenge in fat-filled powder (FFP) production is the difficulty in quality monitoring, which is influenced by various uncertainty factors that affect product quality. Machine learning can be implemented for quality monitoring system, but the imbalanced data conditions require the development of algorithms with optimal performance. This study aims to design a quality monitoring system for FFP using a machine learning model under imbalanced dataset conditions and the influence of other uncertainty factors. A Random Forest (RF) machine learning model was developed for monitoring FFP quality. In the context of imbalanced datasets, the model was optimized through various scenarios, including data splitting for training and testing, as well as the Synthetic Minority Oversampling Technique (SMOTE) and Distribution Optimally Balanced – Stratified Cross Validation (DOB-SCV) schemes. The results showed that the SMOTE model achieved the best performance in terms of accuracy, precision, and recall with scores of 99.67%, 99.79%, and 99.24%, respectively, on the testing data. Statistically, the RF model with the SMOTE data manipulation scenario also showed significant differences compared to the DOB-SCV model and the traditional data splitting approach. The quality monitoring model for FFP developed in this study can be implemented in the dairy industry, offering more stable, accurate quality monitoring predictions that align with real conditions, helping to avoid quality uncertainties during the production process. The implementation of this model in the industry has the potential to facilitate a broader, more transparent, and optimized product quality evaluation process, which can also be conducted in real time under continuous production conditions.