Hasil Pencarian  ::  Simpan CSV :: Kembali

"Severe droughts, damaging floods and mass migration, climate change is becoming a focal point for security and conflict research and a challenge for the world’s governance structures. But how severe are the security risks and conflict potentials of climate change? Could global warming trigger a sequence of events leading to economic decline, social unrest and political instability? What are the causal relationships between resource scarcity and violent conflict? This book brings together international experts to explore these questions using in-depth case studies from around the world. Furthermore, the authors discuss strategies, institutions and cooperative approaches to stabilize the climate-society interaction."

"The interconnected lives of humans and elephants have shaped landscapes, determined the destinies of empires, and stimulated new kinds of knowledge, skill, and practice. Their encounters have also produced intimate forms of companionship, as well as conflict over space and resources. In South Asia, where many people live in close proximity to elephants, this interspecies relationship resonates with cultural significance. Such diverse, multifaceted, and frequently problematic relations between two kinds of intelligent social mammals have drawn the attention of multiple types of researchers and research. Interpreting this interspecies encounter, however, remains problematic, often producing disparate understandings that resist coherent integration. This volume seeks to remedy the problem of disciplinary commensurability by facilitating conversation across the humanities, social sciences, and natural sciences. Bringing together anthropologists, biologists, ecologists, geographers, historians, political scientists, and Sanskrit language specialists, this volume explores the social, historical, and ecological dimensions of human-elephant conflict and coexistence. It engages with both species as world-making subjects acting in ways that profoundly affect each other. This book not only helps us appreciate that we cannot understand elephant habitat and behaviour in isolation from the humans that help configure it, but also makes us realize that we cannot understand human political, economic, and social life without the elephants that shape and share the world with them. Refusing to study animal ecologies and human histories as exclusive phenomena, this book argues for an integrated approach to understanding and responding to the challenges of human-elephant relations."

"Penelitian ini membahas tentang membangun model machine learning pada aspek manusia dalam kesadaran keamanan informasi. Model dibangun melalui pendekatan classification dan clustering melalui proses secara garis besar meliputi: impor data, menangani data tidak lengkap, penyusunan dataset, feature scaling, membangun model serta mengevaluasi model. Dataset disusun berdasarkan hasil kuisioner yang merujuk The Human Aspects of Information Security Questionnaire pada masyarakat di Indonesia. Hasil model classification dievaluasi dengan beberapa metode yaitu analisa k-fold Cross Validation, Confusion Matrix, Receiver Operating Characteristic, serta perhitungan skor pada masing-masing model. Salah satu algoritma pada classification yang digunakan yaitu Support Vector Machine memiliki kinerja dengan akurasi 99,7% dan error rate sebesar 0,3%. Algoritma pada clustering salah satunya yaitu DBSCAN memiliki nilai adjusted rand index selalu mendekati nilai 0.

---

This research discusses building a machine learning model on the human aspect of information security awareness. The model built through a classification and clustering approach through a broad outline process, including importing data, handling incomplete data, compiling datasets, feature scaling, building models, and evaluating models. Dataset arranged based on the results of a questionnaire that referred to The Human Aspects of Information Security Questionnaire to Indonesia society. The results of the classification model evaluated by several methods, namely k-fold Cross Validation analysis, Confusion Matrix, Receiver Operating Characteristics, and score calculation for each model. One of the algorithms for classification, the Support Vector Machine, has a performance with an accuracy of 99.7% and an error rate of 0.3%. One of the algorithms in clustering is that DBSCAN has an adjusted rand index value consistently close to 0."