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All Journal Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Journal of Data Science Methods and Applications
Reza Maulana Saputra
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Perancangan Desain Flyer sebagai Media Promosi Destinasi Wisata Hutan Mangrove Desa Pasarbanggi Kabupaten Rembang Audria, Selvida Widi; Reza Maulana Saputra; Farid Maulana Ishaq; Fajar Sodiq; Syakur Syakur
Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Vol. 1 No. 3 (2024): Juli : Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/transformasi.v1i3.248

Abstract

Pasarbanggi Village Mangrove Forest Tourism is a tropical natural asset that provides social, economic and ecological benefits. The problems faced are reduced visitors and low environmental awareness. Thematic KKN aims to increase promotions by making flyers. The methods used include direct observation at tourist locations, interviews with managers, and discussion of promotional strategies. Steps include creating promotional flyers, regulatory banners, journal publication, and registering flyers with HKI. This Thematic KKN develops the promotion and sustainability of the Mangrove Forest tourism environment through three approaches: making flyers, making banners of rules and regulations, and planting 50 Ketapang Kencana seeds. It is hoped that this action can increase visitor interest, environmental awareness and sustainability of Mangrove Forest tourism.
Penerapan Sistem Informasi Perpustakaan Berbasis Web di Desa Tuyuhan Dukuh Muragan Rembang Fajar Sodiq; Damayanti, Damayanti; Selvida Widi Audria; Reza Maulana Saputra
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 3 No. 4 (2024): November 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v3i4.4370

Abstract

In this community service, the aim is to increase the reading interest of students and Tuyuhan village residents in particular, as well as digitizing all library administration patterns which previously still used manual methods written in books. By using a direct approach to partners (interviews) about what the information system needs are. So that in creating an information system there is a foundation for the needs in the menu that will appear in the information system. When the training activities were carried out, the enthusiasm of the managers and officers was quite good so that the library information system training received a fairly good response. This library information system training has never been received before so that participants have new experience in implementing digital administration using a library information system. To support participants' understanding in the final session of the training, an evaluation was given so that participants truly understood the essence of the training. To resolve participants' problems after evaluating the library information system, additional sessions were provided for assistance assisted by student members from YPPI Rembang University. Students are given the task of helping participants after completing the training and handing over the library information system to the Gama Bina Karya library management.
Prediksi Penyakit Paru-Paru Dengan Algoritma Naïve Bayes Selvida Widi Audria; Izzah Farikhah; Reza Maulana Saputra; Neni Purwati
Journal of Data Science Methods and Applications Vol. 1 No. 1 (2025)
Publisher : Program Studi Sains Data - Institut Informatika dan Bisnis Darmajaya

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Abstract

Paru-paru memiliki peran penting dalam tubuh manusia, yaitu sebagai organ utama dalam sistem pernapasan, berfungsi mengolah karbon dioksida yang dibawa oleh darah menjadi oksigen dari udara yang dihirup, yang kemudian disebarkan ke seluruh tubuh untuk memenuhi kebutuhan oksigen. Gangguan paru-paru juga berisiko terhadap Kesehatan hingga kematian. Diperlukan metode yang akurat untuk mendiagnosis penyakit paru-paru agar penanganan dapat dilakukan dengan tepat. Dataset yang digunakan sebanyak 10000 dengan 10 attribut yakni usia, jenis kelamin, kebiasaan merokok, status pekerjaan, kondisi rumah tangga, aktivitas begadang, aktivitas rumah tangga, kepemilikan asuransi, riwayat penyakit bawaan, dan label hasil. Tujuan penelitian ini adalah untuk memprediksi penyakit paru-paru menggunakan model naïve bayes dengan hasil validasi yang robust dan reliable dengan penerapan dual-validation framework yakni Split validation dan k-Fold Cross Validation. Metode yang digunakan adalah pengumpulan data, pengelolaan data (seleksi dan pembersihan data), penerapan metode, pengujian metode dan kesimpulan. Hasil dari penerapan model naïve bayes dari data testing sebanyak 2000 menunjukkan nilai accuracy tertinggi sebesar 86.90%, precision tertinggi sebesar 87.65% diperoleh dari iterasi sebanyak 10 Fold Cross Validation, sedangkan nilai recall tertinggi diperoleh dari penerapan Split Validation sebesar 87.75%, sehingga hasil tersebut termasuk klasifikasi yang sangat baik diterapkan untuk melakukan prediksi penyakit paru-paru yang di derita masyarakat.
Co-Authors Audria, Selvida Widi Damayanti Damayanti Fajar Sodiq Farid Maulana Ishaq Izzah Farikhah Neni Purwati Selvida Widi Audria syakur syakur