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Abstrak :
Penelitian ini bertujuan untuk menganalisis pengaruh tingkat penggunaan Informal Learning Space terhadap tingkat produktivitas belajar yang dimiliki oleh mahasiswa. Pada penelitian ini, tingkat penggunaan Informal Learning Space dipandang sebagai salah satu faktor yang berhubungan dengan tingkat produktivitas belajar pada kalangan mahasiswa. Studi-studi terdahulu terkait produktivitas belajar berfokus pada aspek media pembelajaran, aspek iklim pembelajaran, dan aspek fasilitas pendukung. Studi-studi di atas secara garis besar mengacu pada pembahasan produktivitas belajar sistem pembelajaran formal yang tercipta di dalam lingkungan universitas. Namun, belakangan ini timbul fenomena penggunaan tempat belajar informal, seperti coffee shop yang dapat mendorong terjadinya peningkatan produktivitas belajar karena adanya fasilitas, teknologi, dan suasana yang mendukung terjadinya proses belajar. Berdasarkan hal tersebut, peneliti menetapkan hipotesis semakin tinggi tingkat penggunaan Informal Learning Space , maka semakin tinggi pula tingkat produktivitas belajar mahasiswa serta terdapat hubungan antara tingkat penggunaan Informal Learning Space terhadap tingkat produktivitas belajar. Penelitian ini menggunakan pendekatan kuantitatif dengan metode pengumpulan data melalui penyebaran survei online menggunakan platform Google Form kepada 150 responden dari mahasiswa aktif program studi Sarjana (S1) dan Diploma (D1/D2/D3/D4) di wilayah Jabodetabek. Responden dalam penelitian ini diperoleh melalui teknik penarikan sampel purposive sampling, peneliti juga menggunakan metode wawancara mendalam untuk mendapatkan data yang lebih kaya. Hasil penelitian menunjukkan bahwa terdapat hubungan antara tingkat penggunaan Informal Learning Space dengan tingkat produktivitas belajar (0,000 < 0,050) dengan kekuatan hubungan yang sedang (0,534) dan memiliki arah hubungan positif serta memiliki signifikansi pada tingkat populasi (0,000). Hasil tersebut didukung oleh data wawancara mendalam, di mana mayoritas mahasiswa merasa produktivitas belajarnya meningkat saat melakukan kegiatan belajar di coffee shop yang memiliki fasilitas yang tidak mengganggu konsentrasi mahasiswa. ......This study aims to analyze the influence between the level of the use of Informal Learning Space and the level of learning productivity possessed by college students. In this study, the level of use of Informal Learning Space is seen as one of the factors related to the level of learning productivity among college students. Previous studies related to learning productivity focused on aspects of learning media, aspects of the learning climate, and aspects of supporting facilities. The studies above broadly refer to the discussion of learning productivity of formal learning systems that are created within the university environment. However, recently there has been a phenomenon of the use of informal learning places, such as coffee shops which can encourage increased learning productivity due to the facilities, technology, and atmosphere that support the learning process. Based on this, the researchers set the hypothesis that the higher level of the use of Informal Learning Space, the higher level of student learning productivity and there is a relationship between the level of the use of Informal Learning Space and the level of learning productivity. This study uses a quantitative approach with data collection methods through the distribution of online surveys using the Google Form platform to 150 respondents from active students of Bachelor (S1) and Diploma (D1/D2/D3/D4) study programs in the Jabodetabek area. Respondents in this study were obtained through a purposive sampling technique, researchers also used in-depth interviews to obtain richer data. The results showed that there was a relationship between the level of the use of Informal Learning Space and the level of learning productivity (0.000 <0.050) with a moderate relationship strength (0.534) and had a positive direction and also had significance at the population level (0.000). These results are supported by in-depth interview data, that college students feel their learning productivity increases when carrying out learning activities in a coffee shops that has facilities that do not disturb student concentration.

Abstrak :
This book constitutes revised and selected papers of the 9th European Workshop on Reinforcement Learning, EWRL 2011, which took place in Athens, Greece in September 2011. The papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections online reinforcement learning, learning and exploring MDPs, function approximation methods for reinforcement learning, macro-actions in reinforcement learning, policy search and bounds, multi-task and transfer reinforcement learning, multi-agent reinforcement learning, apprenticeship and inverse reinforcement learning and real-world reinforcement learning.

Abstrak :
This book constitutes thoroughly refereed revised selected papers from the First IAPR TC3 Workshop on Partially Supervised Learning, PSL 2011, held in Ulm, Germany, in September 2011. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in the book, which also includes 3 invited talks. PSL 2011 dealt with methodological issues as well as real-world applications of PSL. The main methodological issues were, combination of supervised and unsupervised learning, diffusion learning, semi-supervised classification, regression, and clustering, learning with deep architectures, active learning, PSL with vague, fuzzy, or uncertain teaching signals, learning, or statistical pattern recognition, and PSL in cognitive systems. Applications of PSL included, image and signal processing, multi-modal information processing, sensor/information fusion, human computer interaction, data mining and Web mining, forensic anthropology, and bioinformatics.

Abstrak :
This book constitutes the refereed proceedings of the 7th International Workshop on Security, IWSEC 2012, held in Fukuoka, Japan, in November 2012. The 16 revised selected papers presented in this volume were carefully reviewed and selected from 53 submissions. They are organized in topical sections named: implementation; encryption and key exchange; cryptanalysis; and secure protocols.

Abstrak :
This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns, Bayesian learning and graphical models, classification, dimensionality reduction, feature selection and extraction, distance-based methods and kernels, ensemble methods, graph and tree mining, large-scale, distributed and parallel mining and learning, multi-relational mining and learning, multi-task learning, natural language processing, online learning and data streams, privacy and security, rankings and recommendations, reinforcement learning and planning, rule mining and subgroup discovery, semi-supervised and transductive learning, sensor data; sequence and string mining, social network mining, spatial and geographical data mining, statistical methods and evaluation, time series and temporal data mining, and transfer learning.

Abstrak :
This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns, Bayesian learning and graphical models, classification, dimensionality reduction, feature selection and extraction; distance-based methods and kernels, ensemble methods; graph and tree mining, large-scale, distributed and parallel mining and learning, multi-relational mining and learning, multi-task learning, natural language processing, online learning and data streams, privacy and security, rankings and recommendations, reinforcement learning and planning, rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data, sequence and string mining, social network mining, spatial and geographical data mining, statistical methods and evaluation, time series and temporal data mining, and transfer learning.

Abstrak :
This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Learning and Intelligent Optimization, LION 6, held in Paris, France, in January 2012. The 23 long and 30 short revised papers were carefully reviewed and selected from a total of 99 submissions. The papers focus on the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. In addition to the paper contributions the conference also included 3 invited speakers, who presented forefront research results and frontiers, and 3 tutorial talks, which were crucial in bringing together the different components of LION community.

Abstrak :
They present new and innovative developments and applications, divided into technical stream sections on data mining, data mining and machine learning, planning and optimisation, and knowledge management and prediction, followed by application stream sections on language and classification, recommendation, practical applications and systems, and data mining and machine learning. The volume also includes the text of short papers presented as posters at the conference.

Abstrak :
This book constitutes the refereed proceedings of the 5th International Conference on Hybrid Learning, ICHL 2012, held in Guangzhou, China, in August 2012. The 32 contributions presented in this volume were carefully reviewed and selected from numerous submissions. In addition two keynote talks are included in this book. The topics covered are computer supported collaborative learning, experiences in hybrid learning, electronic learning, pedagogical and psychological issues, hybrid learning systems, and organizational frameworks for hybrid learning.