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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Sistem dan Informatika JOSINFO : Jurnal Online Sistem Informasi JOSIKOM : Jurnal Online Sistem Komputer Moneter : Jurnal Akuntansi dan Keuangan JUTIK : Jurnal Teknologi Informasi dan Komputer Adimas : Jurnal Pengabdian Kepada Masyarakat GERVASI: Jurnal Pengabdian kepada Masyarakat JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Jurnal Pengabdian Dharma Laksana Jurnal Kridatama Sains dan Teknologi To Maega: Jurnal Pengabdian Masyarakat Jurnal Mantik JAZ: Jurnal Akuntansi Unihaz Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Widya Akuntansi dan Keuangan Reswara: Jurnal Pengabdian Kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Info Sains : Informatika dan Sains TIERS Information Technology Journal Empowerment : Jurnal Pengabdian Pada Masyarakat Journal of Language and Health Parta: Jurnal Pengabdian Kepada Masyarakat Media Bina Ilmiah
I Gusti Ngurah Darma Paramartha
Universitas Pendidikan Nasional
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EDUKASI PEMANFAATAN SAMPAH ANORGANIK KEPADA MASYARAKAT BR.BUUNGAN, DESA TIGA, KEC.SUSUT, KAB.BANGLI Lestara Permana, Gusi Putu; Darma Paramartha, I Gusti Ngurah; Octavia Gama, Adie Wahyudi
ADIMAS Jurnal Pengabdian Kepada Masyarakat Vol 9 No 1 (2025): Maret 2025
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/adi.v9i1.6764

Abstract

Kegiatan pengabdian masyarakat pada periode ini dilakukan di Desa Tiga, Kecamatan Susut, Kabupaten Bangli, Provinsi Bali sejak 16 Januari 2023 hingga 11 Februari 2023. Salah satu program yang kerja yang dilaksanakan adalah “Sosialisasi Pemanfaatan Sampah Anorganik kepada masyarakat Br. Buungan, Desa Tiga, Kecamatan Susut, Kabutapen Bangli”. Kegiatan sosialisasi diawali dengan memberikan materi terkait dengan penggunaan sampah anorganik dari rumah warga Desa Tiga, karena desa Tiga sedang mengalami masalah limbah. Masalah limbah yang terjadi disebabkan oleh sampah anorganik. Sampah anorganik memiliki sifat berlawanan dari sampah bahan organic. Sampah ini berasal dari bahan yang tidak bersumber dari alam (bahan hayati), melainkan dibuat oleh manusia atau berbahan sintetis (non-alami). Tujuan dari pelaksanaan program ini adalah untuk meningkatkan pengetahuan publik tentang penggunaan sampah anorganik. Metode yang digunakan untuk melaksanakannya adalah dengan mengunjungi rumah-rumah warga untuk memberikan sosialisasi dengan media poster dan memberikan karung dan juga memberikan nomor khusus ke rumah warga sebagai tanda rumah tersebut dijadikan sampel sosialisasi  dalam penggunaan sampah anorganik kepada warga.
Analisis Determinan Karakter Siswa Menggunakan Explainable Machine Learning (SHAP) dan Klasterisasi Profil Sekolah Studi Kasus Rapor Pendidikan Provinsi Bali Dananjaya, Md. Wira Putra; Krisnawijaya, Ngakan Nyoman Kutha; Prathama, Gede Humaswara; Paramartha, I Gusti Ngurah Darma; Gama, Adie Wahyudi Oktavia
Jurnal Kridatama Sains dan Teknologi Vol 7 No 02 (2025): Jurnal Kridatama Sains dan Teknologi
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v7i02.1988

Abstract

Strengthening student character is a key performance indicator in the Merdeka Belajar curriculum, but the identification of the school environment's most influential determinants of character achievement is often assumed. This study aims to quantitatively deconstruct the relationship between school climate and student character quality in Bali Province. Using the Indonesian Education Report dataset released by the Ministry of Primary and Secondary Education (Kemendikdasmen) for the 2023-2025 period with a total of 727 data entries, this study applies the Educational Data Mining methodology with the Random Forest algorithm enhanced by the Synthetic Minority Over-sampling Technique (SMOTE) to address data inequality. The novelty of this study lies in the use of SHapley Additive exPlanations (SHAP) for model transparency and K-Means Clustering for zoning mapping. Experimental results show the model is able to predict character achievement with 77.03% accuracy. The SHAP analysis revealed the interesting finding that Climate for Diversity (influence score of 0.45) and Climate for Gender Equality (0.22) were the strongest predictors, far exceeding the influence of Climate for Security (0.13). This finding challenges the common assumption that physical security is the single most important factor. Furthermore, the clustering analysis identified three school typologies in Bali, including one "Vulnerable" cluster that scored critically on gender equality and diversity despite having adequate security scores. This study recommends shifting the focus of education policy in Bali from a physical security approach to strengthening tolerance and gender equality programs, which have been shown to have a more statistically significant impact
Klasifikasi Kualitas Tanah Berdasarkan Kandungan pH, Kelembapan, dan Suhu Menggunakan Algoritma K-Nearest Neighbors Md Wira Putra Dananjaya; Gede Humaswara Prathama; I Gusti Ngurah Darma Paramartha; Putu Gita Pujayanti
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 4 (2025): OCTOBER-DECEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i4.4049

Abstract

This study aims to analyze soil quality using the K-Nearest Neighbors (KNN) algorithm based on environmental parameters such as temperature, humidity, pH, and nutrient content (N, P, K). The dataset used consists of 660 entries covering 22 different classes describing soil types with varying characteristics. The KNN model was applied to classify soil quality, and the results were evaluated using the Confusion Matrix and Classification Report. The accuracy of the model obtained was around 61%, indicating potential improvements in the classification of some more difficult soil classes. The model performed better on certain classes such as kidney beans, chickpeas, and grapes, but was less than optimal on other classes such as watermelon and pomegranate. These results indicate class alignment in the dataset that affects model performance. This study contributes to the application of machine learning algorithms in agriculture, especially for soil quality monitoring. In the future, this study opens up opportunities for further improvements by using parameter optimization techniques and other more complex algorithms. Thus, the results of this study can be used as a basis for developing intelligent systems for more effective and efficient soil management.
Co-Authors A.A. Gde Adi Indrawan, A.A. Gde Adie Wahyudi Oktavia Gama Agus Ariana, I Komang Anak Agung Gede Sugianthara Anak Agung Istri Agung Maheswari Anak Agung Sagung Mas Anastassia Nawang Asri Angelyn Gavryla Anggit Septio Budi Ardiana Reswari, Ni Putu Puja Ariesta, Ni Luh Wina Sinta Ayu Fiqih Wulandari Ayu Satya Kartika Dananjaya, Md Wira Putra Dananjaya, Md. Wira Putra Dandy Pramana Hostiadi Dedy Panji Agustino, Dedy Panji Devi Anggreni, Ni Komang Ayu Gde Brahupadhya Subiksa Gede Angga Rista, Gede Angga Gede Humaswara Prathama Gede Ngurah Indra Arya Aditya Grren, Agustini Degni Melsy Gusi Putu Lestara Permana Hesty Pahlevy Setyo Rini Hiu, Victor I Gede Harsemadi I Gusti Ayu Cintya Wardani I Gusti Ayu Dewi Suardi, I Gusti Ayu Dewi I Gusti Ayu Intan Candra Dewi I Gusti Ayu Rosy Agustini, I Gusti Ayu I Gusti Rai Agung Sugiartha I Kadek Arta Wiguna I Ketut Sedana Artha, I Ketut Sedana I Ketut Suada I Made Hendriek Prasetia I Made Sindhu Yoga I Made Sudiksa I Nym. Yudi Anggara Wijaya, I Nym. Yudi I Nyoman Hary Kurniawan I Putu Adi Wijaya, I Putu I Putu Indra Agastya Lupika Jaya, I Putu Indra Agastya I Putu Widiantara, I Putu I Wayan Aditya Suranata I Wayan Dikse Pancane Ida Ayu Winda Juniari Ida Bagus Ketut Surya Arnawa, Ida Bagus Ketut Surya Indra Gunawan, Moh. Sayful Intan Adhisti, Sagung Istri Iskandar, Revival Xavier John Junieargo Timotius Kadek Adyatna Wedananta Kadek Adyatna Wedananta Kadek Darmaastawan Kadek Laras Oktiana Kumala Dewi Latupeirissa, Jonathan Jacob Paul M Febrian Eibim Adzariatulah Maharani, Ni Komang Natasya Mario Oktavianus, Mario Ngakan Nyoman Kutha Krisnawijaya Nyoman Ayu Nila Dewi Octavia Gama, Adie Wahyudi Oka Ariwangsa, I Gusti Ngurah Pande Kadek Yudiarta, Pande Kadek Permana, Putu Indra Putra, Komang Satria Wibawa Putu Gede Arya Sumertayasa Putu Gita Pujayanti Putu Purnama Dewi Putu Riska Indah Mentari Ricky Aurelius Nutanto Diaz, Ricky Aurelius Santhi Mitha Tridorade Geot Satria Yogananda Sofyan, Yohanes Samuel Sudestra, I Made Ardi Suputra, Komang Yudi Teguh Hari Martha, Teguh Hari Widnyani, Ni Made Wirawan, Made Surya Yohanes Priyo Atmojo Yohanes Priyo Atmojo, Yohanes Priyo