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All Journal Journal of Social And Economics Research Journal of Scientech Research and Development journal of social and economic research The ASEAN Journal of Military and Preventive Medicine
Muhammad Prasetyo
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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IMPLEMENTASI CLOUD COMPUTING BERBASIS GOOGLE CLOUD UNTUK MENINGKATKAN KEBERLANJUTAN BISNIS DENGAN METODE AGILE Muhammad Prasetyo; Raisa Humaida; safitri, safitri; Fenny Purwani
Journal of Scientech Research and Development Vol 6 No 2 (2024): JSRD, December 2024
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v6i2.609

Abstract

This article discusses the use of Cloud Computing technology in supporting business sustainability through an Agile approach and a literature review. Cloud Computing offers flexibility, scalability, and cost efficiency that play a role in increasing business competitiveness. This study focuses on the Google Cloud platform, specifically related to the process of deployment, provisioning, and management of data infrastructure using Google Cloud SQL. The results of the study indicate that the implementation of Cloud Computing can improve operational efficiency and flexibility of companies, allowing them to respond quickly to market changes. This article also reveals the challenges faced, such as data security risks and dependence on internet connectivity. The Agile approach allows for more adaptive and iterative implementation, supporting changing business needs throughout the development process.
IMPLEMENTASI CLOUD COMPUTING BERBASIS GOOGLE CLOUD UNTUK MENINGKATKAN KEBERLANJUTAN BISNIS DENGAN METODE AGILE Muhammad Prasetyo; Raisa Humaida; Safitri; Fenny Purwani
Journal of Social and Economics Research Vol 6 No 2 (2024): JSER, December 2024
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v6i2.666

Abstract

Artikel ini membahas penggunaan teknologi Cloud Computing dalam mendukung keberlanjutan bisnis melalui pendekatan Agile serta tinjauan literatur. Cloud Computing menawarkan fleksibilitas, skalabilitas, dan efisiensi biaya yang berperan dalam meningkatkan daya saing bisnis. Penelitian ini berfokus pada platform Google Cloud, khususnya terkait dengan proses deployment, provisioning, dan pengelolaan infrastruktur data menggunakan Google Cloud SQL. Hasil penelitian menunjukkan bahwa penerapan Cloud Computing dapat meningkatkan efisiensi operasional dan fleksibilitas perusahaan, memungkinkan mereka merespons perubahan pasar dengan cepat. Artikel ini juga mengungkap tantangan yang dihadapi, seperti risiko keamanan data dan ketergantungan pada konektivitas internet. Pendekatan Agile memungkinkan implementasi yang lebih adaptif dan iteratif, mendukung kebutuhan bisnis yang terus berubah sepanjang proses pengembangan.
IMPLEMENTASI CLOUD COMPUTING BERBASIS GOOGLE CLOUD UNTUK MENINGKATKAN KEBERLANJUTAN BISNIS DENGAN METODE AGILE Muhammad Prasetyo; Raisa Humaida; Safitri; Fenny Purwani
Journal of Social and Economics Research Vol 6 No 2 (2024): JSER, December 2024
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v6i2.666

Abstract

Artikel ini membahas penggunaan teknologi Cloud Computing dalam mendukung keberlanjutan bisnis melalui pendekatan Agile serta tinjauan literatur. Cloud Computing menawarkan fleksibilitas, skalabilitas, dan efisiensi biaya yang berperan dalam meningkatkan daya saing bisnis. Penelitian ini berfokus pada platform Google Cloud, khususnya terkait dengan proses deployment, provisioning, dan pengelolaan infrastruktur data menggunakan Google Cloud SQL. Hasil penelitian menunjukkan bahwa penerapan Cloud Computing dapat meningkatkan efisiensi operasional dan fleksibilitas perusahaan, memungkinkan mereka merespons perubahan pasar dengan cepat. Artikel ini juga mengungkap tantangan yang dihadapi, seperti risiko keamanan data dan ketergantungan pada konektivitas internet. Pendekatan Agile memungkinkan implementasi yang lebih adaptif dan iteratif, mendukung kebutuhan bisnis yang terus berubah sepanjang proses pengembangan.
Effectiveness of the 20-20-20 Algorithm in Reducing the Risk of Computer Vision Syndrome (CVS) Among Military Medical Cadets at the Republic of Indonesia Defense University Muhammad Prasetyo; Nirawan Putranto; Satria Pratama; Elies Fitriani
The ASEAN Journal of Military and Preventive Medicine Vol. 2 No. 2 (2025): July
Publisher : Perkumpulan Kedokteran Militer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ajmpm.v2i2.27

Abstract

Background: The digital era has changed many aspects of life, especially in education and professional fields, with increased reliance on computers and visual display terminals for work, communication, and learning. In academic environments, particularly among medical students, computers are essential for accessing information and completing assignments. However, excessive screen use can cause eye strain and visual discomfort. One common condition associated with prolonged screen time is computer vision syndrome (CVS). To reduce the risk of CVS, the 20-20-20 algorithm is recommended: taking a 20-second break every 20 minutes to look at an object 20 feet away. This study aimed to evaluate the effectiveness of the 20-20-20 algorithm among medical students at the Republic of Indonesia Defense University. Methods: This study used a one-group pretest-posttest design. A total of 77 cadets from the Military Medicine Study Program participated. Respondents underwent CVS symptom measurement before the intervention, applied the 20-20-20 algorithm for two weeks, and repeated symptom measurement after the intervention. Data were analyzed using the McNemar test. Results: There was a significant change in CVS symptoms after implementation of the 20-20-20 algorithm. Of 77 respondents, 34 respondents did not experience CVS symptoms at pretest and remained asymptomatic at posttest. A total of 25 respondents who previously experienced CVS symptoms no longer experienced CVS after intervention. Statistical analysis showed a p-value of 0.000, indicating a significant difference before and after intervention. Conclusion: The 20-20-20 algorithm was effective in reducing the risk of CVS among military medical students. With p < 0.05, this algorithm can be considered an effective, simple, and practical solution for computer users at risk of CVS
Co-Authors Elies Fitriani Fenny Purwani Nirawan Putranto Raisa Humaida Safitri Safitri Safitri Satria Pratama