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All Journal JES (Jurnal Ekonomi STIEP) Jurnal Pengabdian Masyarakat DEDIKASI Jurnal Komtekinfo
Andhika
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Religion Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Dentistry Economics, Econometrics & Finance Environmental Science Health Professions Immunology & microbiology Nursing Public Health

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The Role of Artificial Intelligence in Enhancing Cloud-Based Disaster Management Systems Puspabhuana, Adam; Andhika; Triyana, Yudi; Rifky Adhani, Muhamad
Jurnal KomtekInfo Vol. 12 No. 2 (2025): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v12i2.645

Abstract

Disaster management systems are vital in mitigating the impacts of natural and human-induced disasters. However, traditional methods often struggle with limitations in responsiveness and efficiency, particularly as disaster events become more frequent and severe. This study investigates the role of Artificial Intelligence (AI) in enhancing cloud-based disaster management systems, focusing on improving predictive, analytical, and operational capabilities. The research examines key AI technologies that can be integrated into cloud platforms, including machine learning, natural language processing, and computer vision. AI substantially improves disaster response and recovery by enhancing real-time data processing, decision-making, and resource allocation. The study also highlights AI's potential in early warning and risk assessment, providing decision-makers with more accurate and timely information. Empirical analysis suggests that AI-enhanced cloud systems significantly reduce response times and improve resource distribution during disaster events, reducing loss of life and property. The research concludes with practical recommendations for implementing AI in cloud-based disaster management and identifying areas for future exploration. The findings underscore the transformative potential of AI in creating more resilient disaster management infrastructures.
Pengaruh Quality Of Work Life Total Quality Management Dan Reward System Terhadap Performance Karyawan Di PT Tekpak Indonesia: Quality Of Work Life, Total Quality Management, Reward System Performance Karyawan Puspasari, Aprilia; Andhika; Asep; Mustomi, Dede
Jurnal Ekonomi STIEP Vol. 10 No. 1 (2025): JES (Jurnal Ekonomi STIEP)
Publisher : Lembaga Penelitian Dan Pengabdian Masyarakat (LPPM) IBE Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54526/jes.v10i1.404

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh Quality of Work Life (QWL), Total Quality Management (TQM), dan Reward System terhadap kinerja karyawan di PT Tekpak Indonesia. Penelitian ini dilakukan dengan menggunakan metode kuantitatif, dengan pengumpulan data melalui kuesioner dibagikan kepada 90 responden yang merupakan sebagian karyawan di perusahaan tersebut. Peneliti menggunakan penelitian kuantitatif statistik yang membuat pernyataan di google form dan menyebarkannya kepada 90 karyawan di PT Tekpak Indonesia. Kemudian data ini akan diolah menggunakan aplikasi spss versi 22, peneliti menggunakan 9 pengujian diantaranya adalah uji validitas dan reliabilitas, uji normalitas, uji f, uji t, uji linear berganda, uji heteroskedstisitas, uji multikolinearitas, uji koefisien determinasi. The reason of this consider is to look at how worker execution at PT Tekpak Indonesia is affected by the Quality of Work Life (QWL), Add up to Quality Administration (TQM), and Compensate Framework. This ponder was conducted utilizing quantitative approaches, gathering information through surveys disseminated to 90 respondents, a few of whom were firm representatives. By making explanations on Google shapes and dispersing them to 90 representatives of PT Tekpak Indonesia, analysts utilized quantitative factual investigate. The SPSS adaptation 22 program will at that point be utilized to prepare this information. Nine tests were utilized by the analysts, counting tests for legitimacy and unwavering quality, commonality, f, t, different direct, heteroscedasticity, multicollinearity, and coefficient of assurance.
PEMERIKSAAN DAN PENYULUHAN KESEHATAN DI DESA WANAMEKAR KABUPATEN GARUT Gin Gin Sugih Permana; Eva Daniati; Andhika; Dede Suharta; Eti Suliyawati; K Dewi Budiarti; Mohamad Riidwan Rifai
Jurnal Pengabdian Masyarakat DEDIKASI Vol 1 No 01 (2020): Jurnal Pengabdian Masyarakat DEDIKASI
Publisher : LP4M STIKes Karsa Husada Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (291.696 KB) | DOI: 10.33482/ddk.v1i01.13

Abstract

Indonesia is a disaster laboratory with 13 types of disasters in it. The history of disaster events shows that there has been an increase in disasters over time. Increasing vulnerability factors and limited capacity also lead to increased disaster risk in the future. This is a challenge in disaster management. Disaster management is local in nature. The purpose of community service activities is that it is hoped that the mindset of the community towards health in Wanamekar village will change, think positively about their health and be more enthusiastic about life and with the PTM examination it can help find out what prevention must be done, and free medical treatment to help people who are sick. The technique for implementing this activity is to do motivation, check uric acid, blood sugar, cholesterol and blood pressure for the community. As for the conclusion: a small proportion of Wanamekar villagers who have difficulty in getting clean water experience psychosocial problems, then many physical problems also occur in the elderly and adults. Hopefully this community service activity will provide benefits for Wanamekar residents.
Co-Authors Asep Dede Mustomi Dede Suharta Eti Suliyawati Eva Daniati Gin Gin Sugih Permana K Dewi Budiarti Mohamad Riidwan Rifai Puspabhuana, Adam Puspasari, Aprilia Rifky Adhani, Muhamad Triyana, Yudi