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All Journal Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Fortech : Journal of Information Technology
Zaidan, Ahmad
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Social Sciences

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INTERNALISASI SILA KE-3 MENGENAI KEPEDULIAN MASYARAKAT TERHADAP HUTAN MANGROVE WONOREJO SURABAYA Ilmaya, Aghnina; Zaidan, Ahmad; Nafisah, Ainin; Damayanti, Arnelisa; Rachel, Aulia; Dwi, Aulia; Ahmadinabit, Bagus; Elok, Fafirul; Rahmadita, Faizah; Handayani, Fifi; Dany, Istighfar; Kirani, Intan; Farikha, Jasmine; Yasmine, Laila; Wulyo, Martin; HANIFAH, KHALIMATUL; Ilmi, Thoriqul; Aisyul Hana, Ubaid
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 3 No. 4 (2025): Agustus
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v3i4.2392

Abstract

Pengabdian masyarakat ini dilatarbelakangi oleh rendahnya kesadaran masyarakat sekitar terhadap pentingnya pelestarian Hutan Mangrove Wonorejo, Surabaya, yang berfungsi sebagai ekosistem penyangga dan pelindung lingkungan pesisir. Topik ini dipilih karena pentingnya internalisasi nilai-nilai Pancasila, khususnya Sila Ke-3 Persatuan Indonesia, dalam membangun semangat kebersamaan dan kepedulian kolektif terhadap lingkungan. Melalui pendekatan partisipatif dan edukatif, kegiatan ini melibatkan masyarakat sekitar dalam diskusi, edukasi lingkungan, dan aksi penanaman mangrove. Hasil pengabdian menunjukkan adanya peningkatan pemahaman warga mengenai fungsi hutan mangrove serta tumbuhnya semangat gotong royong untuk menjaga kelestarian alam sebagai bagian dari persatuan dan tanggung jawab bersama. Kesimpulan penting dari kegiatan ini adalah bahwa nilai-nilai persatuan dalam Sila Ke-3 dapat menjadi landasan kuat dalam membangun kepedulian terhadap lingkungan, yang tidak hanya bersifat individual, tetapi juga menjadi gerakan bersama yang berkelanjutan.
PENERAPAN DATA MINING UNTUK ANALISIS KESEHATAN BALITA MENGGUNAKAN METODE K-MEANS DAN DECISION TREE (STUDI KASUS PUSKESMAS PAAL LIMA): Data Mining, Health Toddlers, Nutritional Status, K-Means, Decision Tree Limia Budiarti, Rike; Mulyati, Sri; Zaidan, Ahmad
FORTECH (Journal of Information Technology) Vol 9 No 2 (2025): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/1kfq0k87

Abstract

Advances in information technology provide opportunities in health data analysis, particularly in the nutritional status of toddlers. This study applies data mining methods using the K-Means and Decision Tree algorithms to quickly and accurately group and classify the nutritional status of toddlers. K-Means is used to group data based on age, weight, and height into categories of good, poor, and very poor nutrition. The clustering results are then fed into the Decision Tree, which generates data-based nutritional intervention recommendations. This study used a quantitative approach with Orange Tools and a dataset of toddlers from the Paal Lima Community Health Center in Jambi City. The test results showed a classification accuracy of 92.3% and a 30% increase in nutritional analysis efficiency compared to the manual method. Thus, the application of data mining has proven to be effective in supporting community health centers in decision-making and improving toddler health services.
Co-Authors Ahmadinabit, Bagus Aisyul Hana, Ubaid Damayanti, Arnelisa Dany, Istighfar Dwi, Aulia Elok, Fafirul Farikha, Jasmine Handayani, Fifi HANIFAH, KHALIMATUL Ilmaya, Aghnina Ilmi, Thoriqul Kirani, Intan Limia Budiarti, Rike Nafisah, Ainin Rachel, Aulia Rahmadita, Faizah Sri Mulyati Wulyo, Martin Yasmine, Laila