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"These Transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks and multiagent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This eighth issue contains a collection of ten carefully selected and thorougly revised contributions."

"Penelitian tentang berbagai metode pengenalan wajah atau face recognition telah berlangsung cukup lama tanpa menghasilkan banya sistem aplikasi yang berguna di kehidupan nyata. Salah satu bentuk nyata pemanfaatan metode pengenalan wajah adalah untuk keperluan autentikasi, misalnya untuk melewati sebuah pintu otomatis. Autentikasi melalui pengenalan wajah ini dapat menjawab beberapa permasalahan yang terjadi pada sistem autentikasi lainnya.Proyek mahasiswa ini bertujuan membangun suatu sistem pintu otomatis dengan mengandalkan berbagai metode pengenalan wajah yang imodifikasi dari metode konvensional. Metode yang digunakan bertujuan untuk mengenali data wajah yang sudah terdaftar atau belum terdaftar pada tahap training. Di antara metode‐metode tersebut, terdapat berbagai modifikasi yang dilakukan sesuai kebutuhan. Pada setiap metode, terdapat percobaan yang telah dilakukan beserta analisis dan kesimpulannya."

"Perkembangan dunia pariwisata menjadi salah satu poin penunjang pertumbuhan ekonomi. Berkaitan dengan hal tersebut, Bali mengambil bagian penting dalam perkembangan pariwisata Indonesia. Seperti halnya industri lain, efisiensi dan efektifitas dalam dunia pariwisata semakin dituntut, yang berakhir pada kepuasan pengunjung dan peningkatan potensi pariwisata. Sejalan dengan isu mengenai pariwisata tersebut, penelitian ini bertujuan untuk mengaplikasikan salah satu algoritma Tourist Trip Design Problem (TTDP) di Bali. Melalui studi kasus tersebut, diharapkan rekomendasi perjalanan untuk turis maupun rekomendasi perkembangan daerah Bali untuk pemerintah dapat diberikan. Metode yang digunakan adalah metode Greedy Randomized Adaptive Search Procedure with Path Relinking (GRASP-PR), yang dimodifikasi menggunakan bahasa pemrograman Java. Penelitian ini menunjukkan bahwa metode GRASP PR menghasilkan rekomendasi yang diharapkan dalam studi kasus tersebut yaitu rekomendasi durasi kunjungan, rekomendasi rute, dan juga rencana pengembangan untuk beberapa kabupaten di Bali.

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The development of tourism is one of the main support for a country's economic growth. Bali, which is identified as the biggest entrance point to Indonesia, have an important part in the development of Indonesian tourism. Like other industries, the demand for efficiency and effectiveness in tourism as an effort to minimize costs and increase productivity is highly increasing, which in the end will actually result to tourists’ satisfaction and an increase in tourism potential. In line with the issue of tourism as have been stated above, this study aims to apply one of the Tourist Trip Design Problem (TTDP) algorithm in Bali. TTDP is one variety of Orienteering Problems (OP), which is still rarely discussed in Indonesia. Through the case study, it is hoped that travel recommendations for tourists and recommendations for the development of the Bali region for the government can be given. The method used is the Greedy Randomized Adaptive Search Procedure with Path Relinking (GRASP-PR), which is one of the algorithms that is often used to solve OP and in this research is modified using the Java programming language. This research shows that the GRASP-PR method produces the recommendations that was expected from the case study, including the duration of the visit, recommended routes, and also development plans for several districts in Bali."

"Framework manajemen insiden merupakan sebuah tools yang dapat digunakan sebagai early warning system dalam mengatasi permasalahan penerapan teknologi informasi di ranah siber. Framework ini juga dapat menjadi sumber informasi intelijen yang bersifat terbuka dan dapat digunakan untuk mengukur sejauh mana tingkat kematangan manajemen insiden yang telah dilakukan oleh institusi/perusahaan di Indonesia. Dalam lingkup  nasional, framework ini juga dapat digunakan untuk melihat sejauhmana kemampuan Indonesia dalam menghadapi terjadinya insiden siber. Hal ini sangat penting mengingat framework manajemen insiden belum diterapkan secara masif oleh institusi/perusahaan di Indonesia, sehingga masih banyak terdapat celah-celah kerawanan yang dapat dimanfaatkan oleh penyerang dalam melakukan cipta kondisi terhadap insiden keamanan siber. Oleh karena itu, penulis melakukan penelitian terkait penerapan framework manajemen insiden ini. Metode penelitian yang digunakan berupa mix-method, dimana merupakan perpaduan dari metode kualitatif dan kuantitatif. Selain itu, teknik analisis data yang digunakan berupa comparative analysis dan content analysis. Hasil dari penelitian ini diantaranya: (1) Nilai koefisien potensi ancaman terhadap pengelolaan intelijen keamanan siber adalah 15.86. Nilai tersebut termasuk dalam kategori tinggi (high); (2) Kerangka kerja (framework) manajemen insiden yang dihasilkan terdiri dari 354 aktifitas manajemen insiden, yang dapat diimplementasikan oleh institusi/perusahaan, dan terbagi dalam 50 kategori pada framework manajemen insiden. Selain itu, distribusi aktifitas dalam framework terdiri dari 12.4% berasal  dari SIM3 Model, 42.1% berasal dari Joao Model, dan 70% berasal dari CREST Model.

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.The incident management framework is a tools that can be used as an early warning system to overcome problems in the implementation of information technology. This Framework also used for measuring the maturity level of incident management that has been carried out by institutions in Indonesia. We can used it as an open intelligence of information source. Within national scope, this framework used for knowing Indonesia's ability to deal with cyber incidents. This is very important thing considering that the incident management framework has not been implemented massively by institution in Indonesia. This causes many vulnerabilities than can be exploited by an attacker for creating new conditions in cybersecurity incident. Therefore, author employed mix-methode research, which is the combination between qualitative and quantitative research. The data analysis techniques used were comparative analysis and content analysis. The result of this research are: (1) coefficient value of potential threat to cybersecurity intelligence management is 15.86. This value is included in high category; (2) This research produces a incident management framework that consisting of 354 incident management activity, which are divided into 50 incident management category. Furthermore, the distribution of incident management activity are consist of 12.4% SIM3 Model, 42.1% Joao Model, and 70% CREST Model."

"This book features research related to computational intelligence and energy and thermal aware management of computing resources. The authors publish original and timely research in current areas of power, energy, temperature, and environmental engineering as and advances in computational intelligence that are benefiting the fields. Topics include signal processing architectures, algorithms, and applications; biomedical informatics and computation; artificial intelligence and machine learning; green technologies in information; and more. The book includes contributions from a wide range of researchers, academicians, and industry professionals. The book is made up both of extended papers presented at the International Conference on Intelligent Computing and Sustainable System (ICICSS 2018), September 20-21, 2018, and other accepted papers on R&D and original research work related to the practice and theory of technologies to enable and support Intelligent Computing applications."

"Telah dilakukan penelitian terhadap pengembangan algoritma FNGLVQ sehingga memiliki karakteristik adaptif terhadap data input sehingga besaran perubahan vektor referensi memiliki besaran nilai yang adaptif. Karakteristik adaptif didapatkan dengan melakukan modifikasi terhadap perubahan update bobot dengan melakukan penurunan fungsi keanggotaan fuzzy tidak hanya terhadap parameter mean (yang dilakukan pada FNGLVQ awal) namun penurunan dilakukan terhadap kedua nilai min dan max sehingga besaran perubahan nilai min dan max akan bervariasi (tidak konstan seperti FNGLVQ) yang tergantung dari besaran input yang digunakan.Karakteristik ini dapat meningkatkan akurasi dalam percobaan dalam ketiga jenis data, yakni data EKG Aritmia, data pengenalan Aroma dengan 3 campuran, serta data Sleep secara keseluruhan, namun perbedaan nilai akurasi terbesar didapatkan dari pengujian data pengenalan aroma 3 campuran. Pengembangan karakteristik adaptif terhadap algoritma FNGLVQ dilakukan dengan kedua jenis fungsi keanggotaan yakni fungsi keanggotaan segitiga dan fungsi keanggotaan PI, dan FNGLVQ adaptif dengan fungsi keanggotaan PI sedikit lebih baik dibandingkan FNGLVQ adaptif dengan fungsi keanggotaan segitiga.

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This research has been conducted on the development of FNGLVQ algorithms which have adaptive characteristics to the input data so that the amount of change in the reference vector has a magnitude of adaptive value. Adaptive characteristics are obtained by modifying the update changes the weight by doing a fuzzy membership function derivation. This is not only performed on the parameters of the mean (which is done at the beginning FNGLVQ) but they are derivated to both min and max values so that the amount of change in the weight and is continued with min and max values will vary (not constant as in the case of FNGLVQ) which in turn depends on the amount of inputs used.

These characteristics may increase the accuracy of the experiment in all three types of data, including data Arrhythmia ECG, data recognition Aroma with 3 mix, as well as overall Sleep data, but the biggest difference is the accuracy of values which have obtained from the test for 3 mixed aroma data recognition. Development of adaptive characteristics of the algorithm FNGLVQ has been performed with both types of membership functions namely triangular membership functions and PI membership functions, and FNGLVQ PI adaptive membership functions has been found to be slightly better than FNGLVQ adaptive triangular membership functions."

"The LNCS journal Transactions on Computational Collective Intelligence (TCCI) focuses on all facets of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems.This, the sixth issue of Transactions on Computational Collective Intelligence contains 10 selected papers, focusing on the topics of classification, agent cooperation, paraconsistent reasoning and agent distributed mobile interaction."

"Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and hard fitness landscapes. “Handbook of memetic algorithms” organizes, in a structured way, all the the most important results in the field of MAs since their earliest definition until now. A broad review including various algorithmic solutions as well as successful applications is included in this book. Each class of optimization problems, such as constrained optimization, multi-objective optimization, continuous vs combinatorial problems, uncertainties, are analysed separately and, for each problem, memetic recipes for tackling the difficulties are given with some successful examples. "

"Dalam mendukung pembangunan yang merata dan berkelanjutan, perlu dilakukan strategi kebijakan yang dapat meningkatkan daya saing sektor maritim di Indonesia. Karena, pengembangan infrastruktur, tidak peduli seberapa baik peningkatannya, jika tidak diimbangi dengan penguatan komoditas utama di setiap wilayah, akan sulit untuk menyelesaikan masalah pemerataan pembangunan ini. Sistem klaster yang terintegrasi bisa menjadi solusi untuk permasalahan pemerataan pembangunan. Sistem klaster pelabuhan yang membangun interdependensi antara perusahaan yang bergerak dalam aktivitas pelabuhan yang sama sehingga menghasilkan keunggulan kompetitif dapat menjadi strategi yang dapat digunakan. Namun, penerapan sistem klaster bukanlah hal yang mudah, terlebih dengan tingkat kompleksitas yang tinggi dan banyaknya tahapan dalam pembuatan kebijakan. Begitupun kompleksitas dalam pembuatan kebijakan di ranah pengembangan klaster pelabuhan, kompleksitas terjadi dikarenakan oleh masing-masing aktor memiliki tujuan individu lembaganya sendiri. Dalam mengimplementasikan kebijakan pun terdapat beberapa rintangan, untuk mengimplementasikan kebijakan dengan baik, harus didasarki oleh bukti (evidence-based) agar pembuat kebijakan mengetahui dampak kebijakan yang ingin diterapkan.Penelitian ini mencoba melihat bagaimana serious simulation game dapat membantu pembuat kebijakan untuk mengeksplor dan bereksperimen terhadap kebijakan yang akan dilakukan tanpa memiliki resiko dalam sistem di dunia nyata. Sehingga kebijakan yang akan diimplementasikan di dunia nyata tidak merugikan pihak manapun dan sejalan dengan tujuan negara bersama maupun tujuan masing-masing aktor. Dalam penelitian ini juga ditemukan faktor-faktor yang dilakukan oleh responden yang membantu dalam meningkatkan GDP dan pembangunan yang merata dan berkelanjutan. Permainan ini dibangun melalui kerangka kerja Lukosch untuk merancang serious simulation game dan mengadaptasi kerangka kerja Multi Actor Game for Port Cluster, sehingga dihasilkan rancangan permainan simulasi Policy Exercise for Port Cluster.

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In supporting equitable and sustainable development, it is necessary to adopt a policy strategy to increase the competitiveness of national maritime industries, one of which is to build a maritime integrated industry cluster or port cluster at several strategic locations in Indonesia. The development of infrastructure, no matter how improving it is, if it’s not balanced with the strengthening of the main commodity in each region, it will be difficult to resolve this problem of equitable development. An integrated cluster system could be the solution to the problem of inequitable development. A port cluster system that builds interdependence between companies engaged in the same port area that is resulting in a competitive advantage can be a strategy that can be used. However, the application of a cluster system is not an easy task, especially with a high level of complexity and the many stages in the policy-making process. Likewise, the complexity in the policy-making process also occurred within the port cluster sector, complexity occurs because each actor has their individual goals or objectives. In the implementation of a policy, there are also several barriers. To implement a policy properly, it has to be based on evidence so that the policymaker knows the impact of the policy they initiate.

This research aims to see how serious simulation game can help policymaker to explore and experiment with the policy that will be carried out without having to affect and risk the real-world system. Thus, the policy that will be implemented in the real world does not harm any party and in line with the goals shared within the country and the individual goals of each actor. The findings in this research are factors that are carried out by respondents of the game that helped in increasing GDP and equitable and sustainable development. This game was built with Lukosch's framework in designing a serious simulation game for complex system and adopted the mechanics of the Multi-Actor Game for Por Cluster, hence the design of Policy Exercise for Port Cluster was made."

"The book begins by discussing the distinctive features of ESs, above all their cybernetic-physical character, and how they can be designed to deliver the required performance with a minimum amount of hardware. In turn, it presents a range of design methodologies. Considerable attention is paid to the hardware implementation of computational algorithms. It is shown that different parts of complex ESs could be implemented using models of finite state machines (FSMs). Also, field-programmable gate arrays (FPGAs) are very often used to implement different hardware accelerators in ESs. The book pays considerable attention to design methods for FPGA-based FSMs, before the closing section turns to programmable logic controllers widely used in industry."