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Abstrak :
Industri film Indonesia mengalami penurunan perolehan jumlah penonton yang cukup signifikan pada tahun 2011. Akibatnya film Indonesia mengalami kesulitan untuk bersaing dengan film impor. Untuk mengatasinya diperlukan suatu strategi industri yang tepat. Analisis SWOT merupakan metoda untuk mendapatkan strategi bedasarkan kekuatan, kelemahan, peluang dan ancaman yang ada pada suatu industri. Kemudian dilakukan pembobotan terhadap strategi yang dihasilkan dengan analisis SWOT menggunakan Proses Analisis Hirarki (AHP). Hasilnya, strategi diprioritaskan untuk dapat mengatasi permasalahan industri film Indonesia adalah alternatif strategi Strength-Opportunities. ......Indonesian film industry has decreased the acquisition of a significant number of moviegoers in 2011. As a result, the film Indonesia has struggled to compete against imported films. The purpose this study is to solve the problem by a proper industrial strategy. SWOT analysis is a method to get the strategy based on the strengths, weaknesses, opportunities and threats that exist in the industry. Then, we do the weighting of the strategy produced by the SWOT analysis using the Analysis Hierarchy Process (AHP). The results, strategies that is prioritized to address the problems of the Indonesian film industry is an alternative strategy of Strength-Opportunities.

Abstrak :
Keterlambatan deteksi kesehatan pasien Intensive Care Unit (ICU) yang memburuk dapat menyebabkan kecacatan permanen atau bahkan kematian. Oleh karena itu, pemantauan pasien adalah proses terpenting di ICU. Pemantauan manual oleh manusia adalah sering kali menyebabkan keterlambatan deteksi kondisi pasien ICU yang memburuk. Beban kerja yang lebih tinggi di ICU menyebabkan pekerja kesehatan kelelahan dan dapat mengakibatkan kualitas perawatan kesehatan yang buruk. Penerapan Internet of Things (IoT) dalam proses pemantauan ICU diharapkan dapat mengurangi beban kerja tenaga kesehatan dan waktu proses pemantauan pasien. Penilitian ini bertujuan untuk memperbaiki proses operasional pemantauan ICU melalui implementasi IoT dengan pendekatan Business Process Reengineering (BPR) di salah satu rumah sakit swasta Jakarta. Metode Complex Proportional Assessment (COPRAS) digunakan untuk memprioritaskan risiko dari proses pemantauan saat ini untuk memilih IoT yang sesuai. Penelitian ini mengusulkan tiga model proses bisnis yang memanfaatkan pemantauan pasien berbasis IoT, Intelligent Monitoring Analytics, dan kombinasi keduanya. Kombinasi pemantauan pasien berbasis IoT dan Intelligent Monitoring Analytics menghasilkan pengurangan waktu proses terbesar yaitu 37.10%. Intelligent Monitoring Analytics menghasilkan pengurangan waktu proses terkecil sebesar 11.56% ......A small delay of the Intensive Care Unit (ICU) patient deterioration recognition can cause a permanent disability or even death. Therefore, patient monitoring is the most critical process in ICU. Human-related monitoring failures mostly cause delayed recognition of ICU patients. A higher workload in ICU leads to health professional burnout that could result in lousy healthcare quality. Internet of Things (IoT) implementation in the ICU monitoring process is expected to reduce the health workforce’s workload and patient monitoring process time. This paper aims to improve the operational process of ICU monitoring through IoT implementation with the Business Process Reengineering (BPR) approach in one of Jakarta’s private hospitals. The Complex Proportional Assessment (COPRAS) method is used to prioritize the risks of the current monitoring process to select the suitable IoT. This research proposes three business process models that utilize IoT-Based Patient Monitoring, Intelligent Monitoring Analytics, and a combination of both. A combination of IoT-Based Patient Monitoring and Intelligent Monitoring Analytics results the greatest process time reduction at 37.10%. Intelligent Monitoring Analytics results the smallest process time reduction at 11.56%

Abstrak :
Permintaan energi dari sumber daya terbarukan terus mendorong kebutuhan pembangkit listrik tenaga angin di Indonesia. Tujuan studi adalah memaparkan pemodelan pengambilan keputusan lokasi turbin angin dan mendesain teknologi turbin angin yang baik digunakan di Indonesia. Studi ini, menggunakan metode Multi-Criteria Decision Making sebagai metode pengambilan keputusan yang diintegrasi dengan metode Geographic Information System sebagai metode penentuan lokasi dan teknologi yang cocok untuk membangun turbin angin. Selanjutnya hasil akan digunakan sebagai parameter desain awal teknologi turbin angin. Selama proses analisa, faktor berupa multivariat dipertimbangkan. Cakupan wilayah pada studi ini adalah negara Indonesia. Hasil studi berupa peta kecocokan wilayah dengan energi angin. Parameter kecocokan dibagi menjadi empat yaitu "sangat cocok", "cocok", "kurang cocok", dan "tidak cocok". Hasil menyimpulkan bahwa 40% area Indonesia masuk ke dalam kategori "cocok" dengan energi angin khususnya di Pulau Sulawesi dan Nusa Tenggara Timur. Sementara itu, 20% area Indonesia masuk ke dalam kategori "tidak cocok" berdasarkan kondisi geografi setempat, meskipun kecepatan angin yang tinggi, dan rentan terhadap bencana alam. Identifikasi area kecocokan ini akan menjadi pertimbangan awal untuk desain teknologi turbin angin yang optimal bagi Indonesia. Kerangka pemodelan ini dapat mendorong transisi energi terbarukan tanpa memandang daerah khusus yang diharapkan dapat berkontribusi sebanyak 8% dari total target pencapaian transisi energi terbarukan Indonesia 2025. ......Demand for energy from renewable sources continues to drive the need for wind power plants in Indonesia. The purpose of the study is to describe modeling decision making for wind turbine locations and to design wind turbine technology that is well used in Indonesia. This study uses the Multi-Criteria Decision Making method as a decision-making method that is integrated with the Geographic Information System method as a location determination method and suitable technology for building wind turbines. Furthermore, the results will be used as initial design parameters for wind turbine technology. During the analysis process, multivariate factors are considered. The area covered in this study is Indonesia. The results of the study are in the form of a suitability map of the area with wind energy. The match parameter is divided into four, namely "very suitable", "suitable", "less suitable", and "not suitable". The results conclude that 40% of Indonesia's area falls into the "suitable" category for wind energy, especially on the islands of Sulawesi and East Nusa Tenggara. Meanwhile, 20% of Indonesia's area falls into the "unsuitable" category based on local geographic conditions, despite high wind speeds, and is vulnerable to natural disasters. Identification of this suitability area will be the initial consideration for the optimal wind turbine technology design for Indonesia. This modeling framework can encourage the renewable energy transition regardless of special regions which are expected to contribute as much as 8% of the total target of achieving Indonesia's 2025 renewable energy transition.

Abstrak :
This book reports on topics at the interface between manufacturing, mechanical and chemical engineering. It gives a special emphasis to CAD/CAE systems, information management systems, advanced numerical simulation methods and computational modeling techniques, and their use in product design, industrial process optimization and in the study of the properties of solids, structures and fluids. Control theory, ICT for engineering education as well as ecological design and food technologies are also among the topics discussed in the book. Based on the International Conference on Design, Simulation, Manufacturing: The Innovation Exchange (DSMIE-2018), held on June 12-15, 2018, in Sumy, Ukraine, the book provides academics and professionals with a timely overview and extensive information on trends and technologies behind current and future developments of Industry 4.0, innovative design and renewable energy generation.