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All Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan EIGEN MATHEMATICS JOURNAL METIK JURNAL JSAI (Journal Scientific and Applied Informatics) KUBIK: Jurnal Publikasi Ilmiah Matematika MATHunesa: Jurnal Ilmiah Matematika Jurnal Pengabdian Mandiri Public Health and Safety International Journal (PHASIJ) Journal of Research Applications in Community Services Jurnal Sintak Basis : Jurnal Ilmiah Matematika Jurnal Sains Natural Aksi MILANG Journal of Mathematics and Its Applications
Andri Azmul Fauzi
Universitas Mulawarman
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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 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.  
Implementasi Metode Fuzzy Multi-Criteria Decision Making dalam Interpretasi Hasil Penentuan Kemiskinan di Provinsi Kalimantan Timur Farha, Izzaty; Oktavia, Vira; Saputri, Nola Febriana; Permatasari, Welly Dona; Fauzi, Andri Azmul; Syaripuddin, Syaripuddin
Basis : Jurnal Ilmiah Matematika Vol. 4 No. 2 (2025): BASIS: Jurnal Ilmiah Matematika
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/f2jn5443

Abstract

Metode Fuzzy Multi Criteria Decision Making (FMCDM) digunakan untuk menentukan alternatif terbaik berdasarkan kriteria tertentu. Tujuan utama metode ini adalah memperoleh keputusan yang akurat dan optimal. Kemiskinan, sebagai ketidakmampuan memenuhi standar ekonomi rata-rata menjadi masalah penting bagi pemerintah dan instansi terkait. Salah satu solusinya adalah mengidentifikasi Kabupaten/Kota yang tergolong miskin menggunakan FMCDM.  Proses FMCDM diawali dengan menetapkan tujuan, alternatif keputusan, dan kriteria yang digunakan dalam menentukan Kabupaten/Kota miskin di Provinsi Kalimantan Timur. Alternatif keputusan mencakup 10 Kabupaten/Kota, sedangkan kriterianya meliputi persentase penduduk miskin, Indeks Pembangunan Manusia, Indeks Kedalaman Kemiskinan, dan Indeks Keparahan Kemiskinan. Setelah itu, dilakukan evaluasi menggunakan pendekatan fuzzy dengan mengagregasikan bobot kriteria serta tingkat kecocokan setiap alternatif. Hasil agregasi ini disebut indeks kecocokan fuzzy, yang terdiri dari tiga nilai: Y (batas bawah), Q (batas tengah), dan Z (batas atas). Ketiga nilai tersebut diurutkan menggunakan metode perangkingan bilangan fuzzy berdasarkan tingkat optimalitas. Hasil akhir penelitian menunjukkan bahwa Kota Bontang merupakan daerah dengan tingkat kemiskinan tertinggi (peringkat 1), sedangkan Kabupaten Kutai Timur menempati posisi terakhir (peringkat 9). Dengan demikian, metode FMCDM dapat digunakan sebagai acuan dalam menetapkan prioritas daerah yang membutuhkan perhatian lebih dalam upaya pengentasan kemiskinan di Provinsi Kalimantan Timur.
KLASTERISASI POTENSI MAHASISWA PROGRAM STUDI MATEMATIKA UNIVERSITAS MULAWARMAN MENGGUNAKAN METODE K-MEANS UNTUK MENYARING MAHASISWA BERPRESTASI Farha, Izzaty; Nola Febriana Saputri; Melati Elvita; Andri Azmul Fauzi; Fidia Deny Tisna Amijaya
MILANG Journal of Mathematics and Its Applications Vol. 20 No. 2 (2024): MILANG Journal of Mathematics and Its Applications
Publisher : School of Data Science, Mathematics and Informatics, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/milang.20.2.89-99

Abstract

This study aims to cluster students of the Mathematics Study Program at Mulawarman University based on their academic achievements using the K-Means method. By grouping students into several clusters based on similarities in academic scores, it is hoped that this approach can assist in more objectively screening high-achieving students. The data used consists of course grades from the 2023 cohort over two semesters, employing an exploratory quantitative approach and data mining methods. The analysis process is conducted using Google Colab and the Elbow Method to determine the optimal number of clusters, resulting in three clusters: students with high, medium, and low scores. The findings indicate that the K-Means method is effective in clustering academic achievement data and assists the Mathematics Study Program in screening high-achieving students. The visualization of the clustering results shows the distribution of students in three main groups with centroids representing the average of these groups, thereby enabling a more systematic and measurable process for identifying and developing student potential.
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.
Pelatihan Penggunaan Internet Aman dan Penangkalan Berita Hoax Pada Pengrajin Anyaman Bambu di Desa Loyok Fauzi, Andri Azmul; Ridwan, Lalu Muhammad; Inayati, Rizqa; Asmaidi, Asmaidi; Tumilaar, Rinancy
Journal of Research Applications in Community Service Vol. 2 No. 4 (2023): 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.v2i4.2452

Abstract

Pengabdian ini bertujuan untuk memberikan pelatihan dan edukasi tentang pentingnya penggunaan internet yang aman dan mencegah penyebaran berita hoax pada pengrajin anyaman bambu di Desa Loyok. Pelatihan ini diharapkan dapat meningkatkan pemahaman dan kesadaran pengrajin anyaman bambu tentang pentingnya penggunaan internet yang aman dan penangkalan terhadap berita hoax sehingga mereka dapat menggunakan teknologi informasi secara bijak dan mendukung kemajuan pedesaan mereka. Setelah mengikuti kegiatan pelatihan ini, pengrajin anyaman bambu memiliki pemahaman yang lebih baik tentang pentingnya penggunaan internet yang aman, seperti menggunakan password yang kuat, tidak membuka email atau tautan yang mencurigakan, serta memperbarui perangkat lunak yang digunakan secara teratur. Kegiatan ini juga membantu meningkatkan kesadaran pengrajin anyaman bambu tentang bahaya berita hoax dan pentingnya memeriksa kebenaran informasi sebelum menyebarkannya. Mereka diajarkan cara memilah informasi dan mengidentifikasi berita hoax, serta pentingnya memeriksa sumber informasi yang dapat dipercaya.
Implementasi Implementasi K-Means dan K-Nearest Neighbor untuk Klasifikasi Status Gizi Balita (Studi Kasus: Gizi Balita Desa Suka Damai 2024) Ayu Risma Agustina Risma; Andri Azmul Fauzi; Syaripuddin
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 02 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v14n02.p642-649

Abstract

K-Means and K-Nearest Neighbor are quantitative methods used in data analysis for clustering and classification. K-Means is used to group data based on proximity to the centroid, while K-Nearest Neighbor is used to classify data based on the nearest neighbors. This study aims to analyze the nutritional status of toddlers in Suka Damai Village in 2024 based on growth indicators. The data used consisted of 149 toddlers, including age, weight, height, and head circumference. The number of clusters was determined as five categories according to World Health Organization standards, namely severe malnutrition, undernutrition, normal nutrition, overnutrition, and obesity. The clustering results using K-Means showed that 23 toddlers were categorized as severely malnourished, 29 as undernourished, 49 as normal, 35 as overnourished, and 13 as obese. Cluster evaluation using the Silhouette Coefficient produced an average value of 0.445, indicating that the cluster quality was still relatively weak. Furthermore, classification using the K-Nearest Neighbor method was carried out by dividing the data into 80% training data (119 data points) and 20% testing data (30 data points). The confusion matrix evaluation results showed an accuracy of 100%, with Precision, Recall, and F1-Score values each reaching 1. These results indicate that the K-Nearest Neighbor method has excellent performance in classifying toddlers’ nutritional status, while K-Means is capable of providing an overview of nutritional status distribution although the cluster quality is not yet optimal. Keywords: Clustering, Classification, K-Means, K-Nearest Neighbor, Toddler Nutritional Status.
Natural Cubic Spline Method as a Method in Constructing a Life Table in Gegelang Village West Lombok Andri Azmul Fauzi; Lalu Muhammad Ridwan; Dwi Agustini; Desi Febriani Putri; Rinancy Tumilaar; Asmaidi Asmaidi; Indriasri Raming
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.
Co-Authors A'yun, Qonita Qurrota Adawiyah, Rabbiatul Ade Irawan Adi Irawan Alfian Eka Utama Aminah, Esse Asmaidi Asmaidi Asmaidi Asmaidi Auliya Rahman Ayu Risma Agustina Risma A’yun, Qonita Qurrota Cahyadi, Aldy Fradana Mahaputra Dala, Maria Alensia Deltin Dara Puspita Anggraeni, Dara Puspita Desi Febriani Putri Dewi, Irma Risvana Dimas Raditya Dwi Agustini Dwi Agustini Dwi Agustini, Dwi Eko Sulistyono Sulistyono Elvita, Melati Farha, Izzaty Fauzi, Muhammad Hilmi Fidia Deny Tisna Amijaya Fitria Dewi Puspita Anggraeni Hardina Sandariria Haris Suhamdani Inayati, Rizqa Indriasri Raming Lalu Muhammad Ridwan Lalu Muhammad Ridwan Lalu Wahyu Nanda Farisky Lilik Hidayati, Lilik Melati Elvita Melinda Pahriana Sulastri Muhamad Arju Gupron Muktar Munfaati, Rafika Husnia Najah Rusyada, Gozin Nasria Ningsih Nola Febriana Saputri Nurul Hasanah Oktavia, Vira Permatasari, Welly Dona Putri, Annisa Amalia Putri, Desi Febriani Raming, Indriasri Ridwan, Lalu Muhammad Rio Satriyantara Ripai, Ripai Rizqa Inayati Rohmah, Zulfiani Sahputra, Dimas Raditya Said Said, Said Saputri, Nola Febriana Serli Bongga Sri Wigantono Syaripuddin Syaripuddin Syaripuddin Tumilaar, Rinancy Utama, Alfian Eka Wasono, Wasono