Perancangan Dan Pembuatan Aplikasi Clustering Term Dokumen Menggunakan Algoritma Divisive Information-Theoretic Feature Clustering Sebagai Metode Pengurangan Feature Pada Klasifikasi Dokumen Teks

Salah satu penyebab tingginya waktu komputasi pada algoritma klasifikasi dokumen disebabkan oleh besamya dimensi feature dari framing set. Agar algoritma klasifikasi dapat bekelja dengan optimal maka perlu dilakukan pengurangan dimensifeature. Metode pengurangan dimensi feature secara umum dapat dikelompokan menjadi dua kelompok utama, yaitu penf,rurangan dimensi feature dengan.feature selection dan feature clustering. Feature clustering melakukan penggabungan .feature menjadi beberapa klaster. Algoritma Divisive Information-Theoretic Feature Clustering adalah distributional feature clustering yang menggunakan distribusi statistik darifeature. Distribusi.feature ini diperoleh dari dokumen yang digw1akan sebagai training set. Algoritma inj menggabungkan feafllre ke kJaster berdasarkan kedekatan setiap feature dengan klaster yang diukur dengan menggunakan Kullback-Leibler divergence. Algoritma ini juga merupakan algoritma klastering yang bertipe hard clustering. Klaster-klaster yang dihasilkan selanjutnya digunakan sebagai penganti feature dalam algoritma klasifikasi naiVe bayes. Uji coba dilakukan dengan menggunakan data UseNet Collection (20NG), yang terdiri dari 19997 dokumen. Dokwnen-dokumen tersebut dikelompokan ke dalam 20 topic yang berbeda, dimana setiap dokumen hanya memiliki satu topic. Hasil uji coba klasifikasi dengan word cluster sebagai pengganti feature pada algoritma klasifikasi nai"ve bayes diperoleh hasil yang bervariasi. Dari hasil uji coba klasifikasi dapat diambil kesimpulan bahwa klasifikasi dengan feature clustering lebih baik daripadafeature selection padajumlahfeature yang sedikit

MOTION FEATURE SEBAGAI FITUR PADA SISTEM DETEKSI ASAP KEBAKARAN MENGGUNAKAN SUPPORT VECTOR MACHINE

Kebakaran merupakan bahaya yang dihadapi bangunan/gedung selain dari pencurian atau perampokan. Jika terjadi kebakaran, asap merupakan tanda yang mudah terlihat di awal terjadinya kebakaran. Keberadaan asap akan terlihat pada kamera (Closed Circuit Television) CCTV yang terpasang. Dengan demikian video citra keluaran kamera CCTV dapat digunakan untuk membantu petugas pengawasmendeteksi sejak dini kebakaran. Deteksi asap pada video memiliki kesulitan karena asap merupakan objek non kaku dimana bentuk dan ukurannya yang berubah-ubah serta objek latar belakang yang bervariasi. Selain itu kepadatan asap juga bervariasi mulai dari transparan hingga hitam pekat. Dalam penelitian ini akan diterapkan penggunaan fitur gerakan asap sebagai salah satu fitur deteksi asap dengan menggunakan video. Dalam penelitian ini, objek asap dipisahkan dari gambar latar belakangnya dengan menggunakan metodeo Adaptive Gaussian Mixture-based Background/Foreground Segmentation. Selanjutnya dari kontur asap diektraksi fitur gerakan, warna dan bentuk kontur asap. Fitur-fitur ini menjadi fitur masukan mesin klasfikasi support vector machine (SVM) untuk mengenali keberadaan asap dalam video tersebut. Kata kunci: Video Detection, Smoke Detection, Adaptive Gaussian Background/Foreground Segmentation, Motion Feature, Support Vector Machine

Biomass and Carbon Stocks in Post-Agriculture Secondary Forest in Manokwari, West Papua, Indonesia

Vegetations in post-agriculture forests (PAF) have the potential to absorb carbon dioxide and store it in to the form of biomass. However, information on carbon stocks in post-agriculture secondary forest in Papua, Indonesia still needs to be available. This study aimed to analyze the density of vegetation and its relationship to the carbon stock of aboveground vegetation biomass on PAF in the lowland of Manokwari, West Papua. This study was conducted on PAF aged 4 and 7 years using a one-factor, completely randomized design. Carbon stock is calculated using an allometric equation based on a diameter at breast height of 1.30 m (dbh ≥5cm). The results showed that 60% of the relative density of trees on the two PAF’s was composed by Premna odorata, Piper aduncum, and Macaranga tanarius. Carbon stocks on PAF aged 4 and 7 years reach 550 kg/ha and 140 kg/ha respectively. There is an increase in aboveground biomass and carbon stock with relative tree density and, tree diameter, which is significantly affected by the age of the PAF (P<0,002). The low carbon stock on PAF aged four years indicates that there has been a significant decrease in soil fertility after several years of cultivation by the local Papuan community. Therefore, there must be a difference in land use management between natural secondary forest and post-agriculture forest

Considering Social Aspects of Geothermal Project: The Case of Social Mapping of Geothermal Project on Mount Ungaran

The development of renewable energy is an important step to reduce dependence on fossil energy. Geothermal energy is one source of renewable energy in Indonesia. However, when a geothermal project is not managed properly, the social political and cultural conditions of the community can be a failure factor in geothermal development. Through mix methods, this research undertakes social mapping in the project of Mount Ungaran as one of the geothermal development sites. Socially the people in the project area typically are rural communities where the role of informal leaders is very influential. There are a number of communities and non-governmental organizations that disagree with the development plan due to environmental, cultural and economic damage concerns. Yet, political support was obtained from the regional government and village government

Proceedings of the 3rd International Conference on Community Engagement and Education for Sustainable Development

This proceeding contains articles on the various ideas of the academic community presented at The 3rd International Conference on Community Engagement and Education for Sustainable Development (ICCEESD 2022) organized by the Universitas Gadjah Mada, Indonesia on 7th-8th December 2022.  ICCEESD is a biannual forum for sharing, benchmarking, and discussing HEI’s activities in developing Education for Sustainable Development towards community engagement. Education for Sustainability as a teaching strategy for resolving community challenges through formal, informal, or non-formal education is expected to benefit from various community service best practices by academics, researchers, and students. The 3rd ICCEESD has “Strengthening Education for Sustainability Towards Better Community Engagement” as its theme this year. It is expected that the 3rd ICCEESD will provide a forum for the presenters and participants to exchange best practices, policies, and conceptual implementation of Education for Sustainability towards better community engagement and explore ideas to address community needs.  Conference Title: 3rd International Conference on Community Engagement and Education for Sustainable DevelopmentConference Theme: Strengthening Education for Sustainability Towards Better Community EngagementConference Acronyms: ICCEESD 2022Conference Date: 7th-8th December 2022Conference Location: Grand Rohan Jogja Yogyakarta, IndonesiaConference Organizer: Universitas Gadjah Mada, Indonesi