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Pelatihan Aplikasi Google Drive Sebagai Media Penyimpanan dan Kolaborasi Untuk Siswa SMAN 1 Batulayar Fauzi, Andri Azmul; Ridwan, Lalu Muhammad; Agustini, Dwi; Hidayati, Lilik; Inayati, Rizqa; Tumilaar, Rinancy; Satriyantara, Rio; Utama, Alfian Eka; Fauzi, Muhammad Hilmi; Dewi, Irma Risvana; Ripai, Ripai; Irawan, Adi; Irawan, Ade; Rohmah, Zulfiani
Journal of Research Applications in Community Service Vol. 3 No. 2 (2024): Journal of Research Applications in Community Service
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/jarcoms.v3i2.2988

Abstract

Pengabdian ini bertujuan untuk memberikan pelatihan penggunaan aplikasi google drive sebagai media penyimpanan pada kegiatan pembelajaran pada siswa-siswi SMAN 1 Batulayar Lombok Barat. Kegiatan ini diharapkan dapat memberikan pemahaman kepada mereka tentang bagaimana cara penggunaan google drive sebagai media penyimpanan serta dapat memahami berbagai fitur-fitur yang ada pada aplikasi ini sehingga bisa dimanfaatkan pada kegiatan pembelajaran.  Dengan menggunakan google drive, siswa dapat menyimpan file-file penting seperti tugas, makalah, presentasi, dan dokumen lainnya dengan slot gacor 777 aman di cloud. Selain itu, fitur kolaborasi dalam google drive memungkinkan siswa untuk bekerja sama secara real-time pada proyek kelompok atau berbagi dokumen dengan guru. Metode yang digunakan pada pelatihan ini adalah metode ceramah, tanya jawab dan simulasi. Dengan adanya pelatihan ini, mampu meningkatkan pemahaman siswa mengenai pentingnya aplikasi google drivesebagai media penyimpanan pada proses pembelajaran. Selain itu, dengan adanya pelatihan ini, memberikan pemahaman kepada para siswa tentang pentingnya menguasai teknologi pada zaman sekarang ini.  
Natural Cubic Spline Method as a Method in Constructing a Life Table in Gegelang Village West Lombok Fauzi, Andri Azmul; Ridwan, Lalu Muhammad; Agustini, Dwi; Putri, Desi Febriani; Tumilaar, Rinancy; Asmaidi, Asmaidi; Raming, Indriasri
Eigen Mathematics Journal Vol 7 No 1 (2024): June
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i1.215

Abstract

This research aims to reconstruct a life table based on real data obtained in Gegelang Village, West Lombok. The data used in this research is the population in 2016, the death rate in 2014-2018 and the birth rate in 2014-2018. The first step taken was to compile a rough life table using the partial data situation and full data situation methods. Both methods are included in the maximum likelihood method. After carrying out calculations, different life expectancy figures are obtained. The respective calculation results were 62.21 years for the partial data situation method and 73.07 years for the full data situation method. Next, a graduation is carried out using the natural cubic spline method on the life table obtained from a rough life table model calculation. The graphic model produced by the rough life table is fluctuating so it is necessary to graduate using the natural cubic spline method to obtain a monotonically decreasing graph. The life table model chosen for graduation is a life table whose life expectancy is close to the life expectancy of West Lombok Regency in 2015, namely 65.1 years. After graduation, the new life expectancy was found to be 66.92 years.
Tabel Kehidupan (Life Table) dalam Matematika Aktuaria: Tinjauan Sistematis terhadap Metodologi, Aplikasi, dan Perkembangan Terkini Fauzi, Andri Azmul; Ridwan, Lalu Muhammad; Raming, Indriasri; Tumilaar, Rinancy
JSN : Jurnal Sains Natural Vol. 3 No. 2 (2025): Agustus
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v3i2.847

Abstract

Life tables are a fundamental tool in actuarial mathematics, providing a systematic framework for mortality analysis and survival probability calculations. This study aims to provide a comprehensive overview of life table construction methodology, its applications in the insurance and pension industries, and recent developments in this field. Using a systematic literature review approach, this study analyzes 20 relevant publications from 2014–2024, with a particular focus on the 10 most recent publications from the past 5 years. The results show that life tables have undergone significant evolution in their construction methodology, particularly with the integration of machine learning and big data analysis techniques. Applications of life tables have also expanded, encompassing not only life insurance premium calculations and actuarial valuations, but also longevity risk analysis, retirement planning, and public health policy. Recent developments indicate an increasing trend in the use of stochastic models, dynamic mortality projections, and adaptation to global demographic changes. This study contributes to a holistic understanding of the role of life tables in modern actuarial mathematics and provides insights into future development directions.