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All Journal bit-Tech Journal of Innovation and Sustainable Empowerment Jurnal Sosio dan Humaniora
Risteruw Leonardo Firmansyah
Universitas Kuningan
Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Other

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Solusi Penurunan Suhu Lingkungan di Desa Mandalajaya Melalui Penghijauan dan Edukasi Lingkunan Berbasis Masyarakat Daswa; Risteruw Leonardo Firmansyah; Albar Fadhillah
Journal of Innovation and Sustainable Empowerment Vol. 1 No. 2 (2022)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/jise.v1i2.156

Abstract

Mandalajaya Village faces the challenge of increasing environmental temperatures influenced by global climate change, minimal green open spaces, and the use of less environmentally friendly building materials. This article discusses various solutions that can be applied to reduce the hot temperature in the village, including reforestation through tree planting, utilization of green roofs and plant walls, use of building materials that have good heat insulation, and implementation of environmentally friendly lifestyles. In addition, education and active community involvement are the main keys in efforts to create a cooler and more sustainable environment. With a holistic and collaborative approach, Mandalajaya Village has the potential to become an example of a rural area that is responsive to climate change and committed to environmental conservation.
Pelatihan Penggunaan AutoCAD untuk Karang Taruna Desa Kaduagung Kabupaten Kuningan Risteruw Leonardo Firmansyah; Marrilyn; Fachrul Madrapriya
Journal of Innovation and Sustainable Empowerment Vol. 2 No. 2 (2023)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/jise.v2i2.159

Abstract

Pelatihan penggunaan AutoCAD untuk Karang Taruna Desa ini adalah untuk meningkatkan kemampuan generasi muda dalam desain dan perencanaan pembangunan berbasis digital. Berdasarkan pada kebutuhan akan keterampilan teknologi di kalangan pemuda desa, khususnya dalam menghadapi tantangan pembangunan infrastruktur dan era digitalisasi. Sebagian besar peserta pelatihan adalah anggota Karang Taruna dari berbagai latar belakang pendidikan, tetapi mereka semua sangat antusias dan mudah beradaptasi. Hasil pelatihan menunjukkan bahwa peserta lebih memahami cara menggunakan AutoCAD dan memiliki kemampuan awal untuk membuat gambar perencanaan secara mandiri. Diharapkan pelatihan ini akan membantu pemuda lebih terlibat dalam membangun desa yang lebih canggih dan berbasis teknologi.
Deteksi Hama Penyakit Daun Padi Dengan Menggunakan Teknik Optimasi Deep Learning Convolutional Neural Network Panji Novantara; Risteruw Leonardo Firmansyah; Marrilyn Arismawati
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2284

Abstract

Budidaya padi memegang peranan penting dalam ketahanan pangan nasional, namun sering terhambat oleh serangan penyakit daun yang berdampak signifikan terhadap penurunan produksi. Untuk menjawab tantangan tersebut, penelitian ini merancang sebuah aplikasi berbasis algoritma Convolutional Neural Network (CNN) guna mengklasifikasi penyakit daun padi secara otomatis dan akurat. Pengumpulan data dilakukan melalui observasi langsung di Gapoktan (Gabungan Kelompok Tani) Kabupaten Kuningan, wawancara dengan petani, studi literatur, serta pengembangan sistem menggunakan pendekatan Rapid Application Development (RAD) yang memungkinkan pembangunan aplikasi secara cepat dan terstruktur. Model Convolutional Neural Network (CNN) yang dibangun diuji menggunakan 480 gambar sampel dan menghasilkan akurasi tinggi sebesar 97,75%. Nilai F1-Score yang diperoleh yaitu 0,97 untuk Brown Spot, 0,921 untuk Blast, 0,871 untuk Hispa, dan 0,952 untuk daun sehat. Hasil ini menunjukkan bahwa aplikasi mampu mendeteksi penyakit secara dini, sehingga petani dapat segera mengambil tindakan preventif untuk meminimalkan kerugian hasil panen. Untuk meningkatkan performa, disarankan penerapan Model teknik optimasi yang diterapkan dalam proses model CNN (Convolutional Neural Network ) seperti perluasan dataset, variasi teknik augmentasi data set, serta evaluasi terhadap gambar dengan kompleksitas tinggi. Pengembangan ke klasifikasi penyakit lainnya juga sangat potensial. Secara keseluruhan, aplikasi ini berpeluang besar mendukung pertanian digital dan mewujudkan sistem pertanian padi yang lebih berkelanjutan dan modern.
ANALISIS PENANGANAN REHABILITASI DAN REKONSTRUKSI PASCA GEMPA BUMI KABUPATEN CIANJUR Risteruw Leonardo Firmansyah; Said Bambang Nurcahya; Aria Mariany
Jurnal Sosio dan Humaniora (SOMA) Vol 2 No 1 (2023): JURNAL SOSIO DAN HUMANIORA : SOMA
Publisher : LPPM Politeknik Pajajaran ICB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59820/soma.v2i1.216

Abstract

As one of the countries that often faces natural disasters, Indonesia has created guidelines for handling rehabilitation and reconstruction after natural disasters. Various disasters, especially earthquakes, are natural disasters that take a lot of lives and material, so the author tries to analyze the handling of earthquake disasters that occur in the Regency. Cianjur in November 2022. This research method uses a qualitative approach with content analysis, namely conducting an analysis of reconstruction and rehabilitation after the earthquake disaster. Theories related to disasters have experienced a paradigm shift from pure science to applied science, although most of these disaster theories originate from practice and are then turned into theories. There is an interesting issue that arises, namely that disaster risk information provided by the government is not always accepted by the public. Some researchers offer through risk communication. However, the community also has its own information regarding disaster risks in their area. So it is not uncommon for people who believe in their beliefs and are attached to their region to not want to move from their region, even though it is declared by the government as an area that has a high level of risk for a particular disaster. Slow handling, especially during emergencies and after disasters, is caused by weak human resources. This can be overcome one way through good coordination and collaboration between stakeholders. Analysis of psychological, health and humanitarian rehabilitation as well as reconstruction of infrastructure, public facilities and settlements that have been carried out by the Cianjur Regency BPBD and the Cianjur Regency PUPR.
Co-Authors Albar Fadhillah Aria Mariany Daswa Fachrul Madrapriya Marrilyn Marrilyn Arismawati Panji Novantara Said Bambang Nurcahya