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All Journal Techno.Com: Jurnal Teknologi Informasi International Journal of Advances in Intelligent Informatics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan MAESTRO Prosiding Konferensi Nasional PKM-CSR Jurnal Rekayasa elektrika Jurnal Arsitektur ARCADE
Laksana, Eka Purwa
Universitas Budi Luhur
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Weather predictions from combined parameters with artificial neural network algorithm based on multi-sensor weather data Indra Riyanto; Erica Reva Akilah; Akhmad Musafa; Eka Purwa Laksana; Nazori Agani
International Journal of Advances in Intelligent Informatics Vol 12, No 2 (2026): May 2026
Publisher : Universitas Ahmad Dahlan

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Abstract

Weather prediction is a scientific process that predicts the state of atmosphere at a certain location and time frame. Weather prediction is an important thing for certain activities because weather condition gives limitations on some activities that can be done. Predictions can be made in various ways. One of them is by using the Artificial Neural Networks (ANN) on multi-sensor weather data. The data used includes various parameters such as temperature, humidity, precipitation, solar irradiance, and wind velocity, collected from a multi-sensor network. In this paper, a weather prediction model was developed using the ANN algorithm, consisting of four layers: an input layer, two hidden layers, and an output layer. Testing was conducted with various proportion of training/testing data at 90%/10%, 80%/20%, and 70%/30%, each at 100 and 150 epochs. The model's performance was evaluated using the metrics of accuracy and Root Mean Squared Error (RMSE). The study results indicate that the ANN model predicts weather parameters with a high level of accuracy in the testing scenario using 150 epochs with a 70/30 data split. This research proves that with simple ANN model, the Indonesian weather that mostly miss-forecasted can be accurately predicted.
PKM peningkatan pengetahuan dan keterampilan Ibu PKK dalam pemanfaatan cubicle portable sebagai sarana kesehatan masyarakat di Kamal Jakarta Barat Anggraeni Dyah; Sri Kurniasih; Anissa Amalia Mulya; Eka Purwa Laksana
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.38495

Abstract

Abstrak Kegiatan posyandu di Kampung Belakang Kamal, Kelurahan Kamal, Kecamatan Kalideres, Jakarta Barat, masih menghadapi keterbatasan sarana pemeriksaan kesehatan yang layak, sehingga pelayanan sering dilakukan di ruang terbuka yang kurang nyaman dan tidak privat. Selain itu, rendahnya minat remaja terhadap konsumsi makanan sehat menjadi tantangan dalam upaya peningkatan gizi masyarakat. Permasalahan ini menunjukkan perlunya pemanfaatan teknologi tepat guna serta inovasi berbasis kebutuhan masyarakat. Kegiatan pengabdian ini bertujuan untuk meningkatkan pengetahuan dan keterampilan Ibu PKK dalam memanfaatkan produk teknologi cubicle portable sebagai ruang periksa kesehatan yang praktis, fleksibel, dan mudah dipindahkan sebagai sarana pemeriksaan kesehatan serta mendorong penerapan konsumsi makanan sehat. Metode pemberdayaan yang digunakan meliputi ceramah, diskusi, demonstrasi, dan praktik langsung, yang dilaksanakan pada bulan Mei–Desember 2025. Hasil kegiatan menunjukkan bahwa penggunaan cubicle portable mampu meningkatkan kenyamanan, privasi, dan efektivitas pemeriksaan kesehatan pada kegiatan posyandu. Peserta juga mengalami peningkatan pemahaman dan keterampilan dalam penggunaan alat tersebut. Selain itu, inovasi menu makanan sehat kekinian berhasil meningkatkan minat remaja terhadap konsumsi makanan bergizi seimbang. Dengan demikian, program ini berkontribusi dalam meningkatkan kualitas layanan kesehatan masyarakat serta mendorong perubahan perilaku hidup sehat secara berkelanjutan melalui partisipasi aktif masyarakat. Kata kunci: cubicle portable; inovasi; menu makanan sehat; produk teknologi. AbstractPosyandu activities in Kampung Belakang Kamal, Kamal Village, Kalideres District, West Jakarta, still face limitations in adequate health examination facilities, resulting in services often being conducted in open spaces that lack comfort and privacy. In addition, the low interest of adolescents in consuming healthy food poses a challenge in improving community nutrition. These issues indicate the need for appropriate technology utilization and community-based innovation. This community service program aims to enhance the knowledge and skills of PKK women in utilizing portable cubicle technology as a practical, flexible, and movable health examination space, as well as to promote the adoption of healthy eating habits. The empowerment methods employed include lectures, discussions, demonstrations, and hands-on practice, conducted from May to December 2025. The results show that the use of portable cubicles improves comfort, privacy, and the effectiveness of health examinations in posyandu activities. Participants also demonstrated increased understanding and skills in operating the equipment. Furthermore, the innovation of contemporary healthy food menus successfully increased adolescents’ interest in consuming balanced nutritious food. In conclusion, this program contributes to improving the quality of community health services and encourages sustainable healthy lifestyle changes through active community participation. Keywords: cubicle portable; healthy food menus; innovation; technology product.
Co-Authors Adji Surya Dinata Ahmad Hibatul Wafie Ahmad Syahlan Danu Terto Aida Ayu Pratiwi Anggraeni Dyah S Anissa Amalia Mulya Ardyono Priyadi Arif Nur Rohim Ary Lea Laga Sepmiati Aulia Rakhman Bima Franata Sagita Broto, Suwasti Dyah S., Anggraeni Edho Julio Aldo Restu Eko Bastianto Elyezer Sidabutar Erica Reva Akilah Faisal Adi Putra Tomyka Ode Fath, Nifty Fikri Maulanda Hendryono Saputra Indra Riyanto Indra Riyanto Karya Subagya Maulana Ifdil Hanafi Mauridhi Hery Purnomo Musafa, Akhmad Nazori AZ Peby Wahyu Purnawan Pramana, Muhammad Raihan Agus Rangga Setiawan Rizqina Rihadatul 'Aisy Ryan Eka Pratama SANJAYA, OKTIVIYANTO Setioutomo, Luthfi Setyawan, Mohammad Bagus Sirait, Rummi Santi Rama SRI KURNIASIH Sri Kurniasih Sujono Sujono Sujono Sujono Sulistiowati, Anggraeni Dyah Suwasti Broto Yani Prabowo