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All Journal Jurnal Fisika Unand Building of Informatics, Technology and Science International Journal of Research in Vocational Studies (IJRVOCAS)
Elvina, Yuli
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Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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How Work Duration, Job Satisfaction, and Life Satisfaction Effect Organizational Citizenship Behavior (OCB) In Taiwan: Case of Indonesian Migrant Worker Elvina, Yuli; Hsu, Chiehwen Ed; Chang, Yung‐Chi
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 3 No. 3 (2023): IJRVOCAS - December
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v3i3.25

Abstract

The existing literature indicates that Organizational Citizenship Behavior (OCB) is closely linked to employment and can significantly affect organizational effectiveness, including its adaptability to changing environments and its ability to attract potential talent. This study investigates the potential correlation between job satisfaction, life satisfaction in the workplace, and OCB among Indonesian migrant workers in Taiwan. The study's primary objectives were twofold: to investigate the contributions of job satisfaction and life satisfaction toward fostering Organizational Citizenship Behavior (OCB) within Taiwanese companies, particularly those managing human resources. Furthermore, the research aimed to pinpoint areas for potential enhancement of OCB and better comprehension of the underlying factors influencing these behaviors. This understanding would be particularly beneficial in cultivating employee loyalty, especially among migrant workers from Indonesia. The sample for this study was drawn from major Taiwanese cities, including Taipei, Taichung, Tainan, Kaohsiung, and Chiayi. The research outcomes underscored a substantial impact stemming from both job satisfaction and life satisfaction on OCB. In particular, job satisfaction was found to exhibit a direct and positive correlation with OCB. Furthermore, the duration of employment was positively correlated with both job satisfaction and life satisfaction.
Agglomerative Hierarchical Clustering (AHC) Method for Data Mining Sales Product Clustering Lubis, Ridha Maya Faza; Huang, Jen-Peng; Wang, Pai-Chou; Khoifin, Kiki; Elvina, Yuli; Kusumaningtyas, Dyah Ayu
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3569

Abstract

Supermarkets are Indonesian terms that refer to large stores or supermarkets that offer a variety of daily needs such as food, drinks, cleaning products, household appliances, clothing, and so on. In contrast to stalls or small shops, supermarkets have a larger size and provide a variety of products. Because of this, many people prefer to shop for their daily needs at the supermarket rather than at the nearest shop because the existence of the supermarket makes it easier for consumers to buy various products in one place without having to move to another store. However, sales in supermarkets also pose a problem, namely how to sort or group products that are not selling well so they can be replaced with products that are selling better or reduce the number of suppliers. This is where data mining or data analysis techniques that use business intelligence are needed. The research was conducted to classify the best-selling products in supermarkets using the Agglomerative Hierarchical Clustering (AHC) method, in which alternatives with the same matrix or distance are grouped into certain clusters. In applying the AHC method, the number of clusters formed is 3. There are three different clusters, namely cluster 0, cluster 1, and cluster 2, each with a different alternative group. Each cluster has a different number of products and a different percentage. Cluster 0 is the cluster with the highest number of products and the largest percentage, namely 45% with a total of 9 products, followed by cluster 2, and cluster 1 has the smallest number of products and percentage, namely 0.30% with a total of 6 products and 0 .25% with a total of 5 products. In addition, sales data for several products each month are grouped based on certain price ranges
Prototipe Sistem Pemantau dan Pengangkat Sampah di Sungai Secara Otomatis Berbasis Mikrokontroler Elvina, Yuli; Harmadi, Harmadi
Jurnal Fisika Unand Vol 11 No 2 (2022)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.11.2.201-207.2022

Abstract

Telah dilakukan perancangan prototipe sistem pemantau dan pengangkat sampah di sungai secara otomatis berbasis mikrokontroler menggunakan sensor ultrasonik HC-SR04, motor servo dan modul SIM800L V2.0 sebagai pemantau melalui SMS. Metode yang dilakukan pada penelitian ini yaitu mengukur ketinggian sampah pada permukaan sungai dan ketinggian sampah di bak penampungan dengan menggunakan sensor ultrasonik HC-SR04. Data ketinggian sampah dikelola oleh mikrokontroler dan dikirim oleh modul SIM 800L V2.0 melalui SMS serta ditampilkan pada LCD. Karakterisasi sensor ultrasonik HC-SR04 didapatkan nilai sensitivitas sebesar 1,2353 V/cm dan derajat korelasi yaitu 0,9918. Motor servo dapat bekerja dengan baik dimana error kesalahan rata-rata 0,04%.  Hasil pengujian alat keseluruhan menunjukkan bahwa rancangan ini dapat mengangkat sampah dan dapat dipantau oleh LCD ketinggian sampah yang berada di bak penampungan. Ketika bak penampungan penuh adanya notifikasi SMS yaitu "SAMPAH PENUH LEBIH 15 CM".
Co-Authors Chang, Yung‐Chi Harmadi Harmadi Hsu, Chiehwen Ed Huang, Jen-Peng Kiki Khoifin, Kiki Kusumaningtyas, Dyah Ayu Lubis, Ridha Maya Faza Wang, Pai-Chou