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Abstrak :
ABSTRAK
Di Indonesia, jalan nasional mempunyai peran penting untuk meningkatkan perekonomian daerah, jaringan jalan juga berfungsi untuk menghubungkan antar satu provinsi dengan provinsi lainnnya atau antar provinsi dengan kabupaten / kota. Jaringan jalan di Indonesia memiliki panjang yang cukup signifikan, yaitu sekitar 516.239 kilometer, sebagian besar masih banyak kekurangn informasi terkait dengan data pemantauan dan evaluasi, sehingga pemeliharaan jalan belum dapat dilakukan sesuai dengan kebutuhan yang diinginkan. Tujuan dari studi ini adalah melakukan pengembangan Algoritma Genetika GA berdasarkan multi objective perkerasan guna mendapatkan opsi strategi optimasi pemeliharaan yang dapat diterapkan sebagai fungsi kondisi kerusakan jalan dan keterbatasan biaya. Studi ini mengambil data dari database yang ada pada Interurban Road Management System IRMS dengan mempertimbangkan kondisi jalan dan biaya pemeliharaan. Strategi optimasi ini menggunakan model software yang dikembangkan untuk menyelesaikan masalah keterbatasan biaya dihadapi penanggung oleh pengelola jalan; yaiu meminimalkan biaya dan memaksimalkan pelayanan jalan.

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ABSTRACT
In Indonesia, the national road has an important role to increase the region rsquo;s economy, the road has the function to preserve inter- provincial or inter-provincial and regencies/cities. Road network in Indonesia has a significant length, of approximately 516,239 kilometers, where the majority presents lack of information related to monitoring data and evaluation. As a consequence, road maintenance is not appropriated. The objective of this paper is to describe the development of a Genetic Algorithm GA based on multi objectives programming of pavement and to investigate the optimal maintenance strategy options applied as function of road surface distress conditions. This is supported by database of an Integrated Road Management System IRMS and taking into account of both road network condition and agency costs. The optimization strategies provided by the developed soft computing tool can help solving agency problems; minimizing costs and maximizing road services.

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Many applications and industrial processes require very low cooling temperature, such as cold storage in the biomedical field, requiring temperature below -80 °C. However, single-cycle refrigeration systems can only achieve the effective cooling temperature of -40 °C and, also, the performance of the cycle will decrease drastically for cooling temperatures lower than -35°C. Currently, most of cascade refrigeration systems use refrigerants that have ozone depletion potential (ODP) and global warming potential (GWP), therefore, in this study, a cascade system is simulated using a mixture of environmentally friendly refrigerants, namely, carbon dioxide and a hydrocarbon (propane, ethane or ethylene) as the refrigerant of the low temperature circuit. A thermodynamic analysis is performed to determine the optimal composition of the mixture of carbon dioxide and hydrocarbons in the scope of certain operating parameters. In addition, an economic analysis was also performed to determine the annual cost to be incurred from the cascade refrigeration system. The multi-objective/thermoeconomic optimization points out optimal operating parameter values of the system, to addressing both exergy efficiency and its relation to the costs to be incurred.

Abstrak :
This book presents the latest algorithmic developments in the cell-mapping method for the global analysis of nonlinear dynamic systems, global solutions for multi-objective optimization problems, and global solutions for zeros of complex algebraic equations. It also discusses related engineering and scientific applications, including the nonlinear design of structures for better vibration resistance and reliability; multi-objective, structural-acoustic design for sound abatement; optimal multi-objective design of airfoils for better lift; and optimal multi-objective design of linear and nonlinear controls with or without time delay. The first book on the subject to include extensive Matlab and C++ codes, it presents various implementation algorithms of the cell-mapping method, enabling readers to understand how the method works and its programming aspects. A link to the codes on the Springer website will be provided to the readers.

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Ketersediaan gas bumi sebagai bahan baku untuk produksi urea terus menurun dan harganya semakin meningkat, hal ini mendorong pengembangan produksi gas sintesis yang ekonomis dan aman dari aspek lingkungan untuk diterapkan dalam industri green urea dari proses steam reforming, gasifikasi biomassa, PV Elektrolisis, dan kombinasi dari ketiga proses tersebut. Metode Analytical Hierarchy Process AHP digunakan untuk proses seleksi teknologi dan pendekatan Multi-Objective Optimization MOO digunakan untuk meminimalkan biaya produksi dan dampak lingkungan dari produksi urea untuk setiap teknologi dengan memperhitungkan learning curve dari belanja modal Capex , harga bahan baku untuk setiap teknologi dan nilai uang di masa depan hingga tahun 2050. Model mencakup dua fungsi obyektif yang dihitung untuk mencari biaya produksi green urea dan emisi CO2 terendah. Hasilnya menunjukkan bahwa teknologi gasifikasi biomassa dari tahun 2020 hingga 2040 dan teknologi kombinasi gasifikasi biomassa-PV Elektrolisis tanpa baterai dari tahun 2040 hingga 2050 yang paling memenuhi biaya produksi dan emisi CO2 minimum.

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ABSTRACT
The availability of natural gas as a feedstock for urea production continues to decline and its price increases, it encourages synthesis gas production development that is easy to implement, economical and relatively safe for the environment to be applied in green urea industry from steam reforming, biomass gasification, PV Electrolysis, and a combination of these three processes. The Analytical Hierarchy Process AHP method for technology selection process and The Multi Objective Optimization MOO approach is used to minimize the production costs and environmental impacts of green urea production for each technology considering the learning curve of capital expenditure Capex and feedstock price for each technology and future value until 2050. The model includes two competing objective functions to seek the lowest cost of green urea production and the lowest CO2 emissions.The result suggests that biomass gasification technology from 2020 to 2040 and combine biomass gasification PV Electrolysis without battery technology from 2040 to 2050 fulfill the minimum production cost and minimum CO2 emissions.

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Penelitian ini bertujuan untuk mengoptimumkan konversi TKKS menjadi etanol, furfural, dan listrik yang terintegrasi dengan sistem generasi kukus agar menghasilkan performa ekonomi dan lingkungan yang optimum. Performa ekonomi diukur dengan NPV (net present value) sedangkan performa lingkungan diukur melalui emisi CO2 hasil analisis life cycle. Hasil optimisasi menunjukkan bahwa suhu optimum untuk reaksi hidrolisis adalah 180°C dan pemenuhan fraksi kukus massa dari generasi kukus tenaga surya yang optimum berada pada rentang 0-0,28 yang ditunjukkan oleh kurva Pareto. CSP mampu memenuhi seluruh kebutuhan kukus secara finansial pada pembangunan unit ke-10 dengan proyeksi learning curve. Split fraksi TKKS untuk objektif optimum didapatkan pada fraksi massa TKKS sebesar 0.25 ke unit reaktor hidrolisis.

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ABSTRAK
The purpose of this research is to optimize the conversion process of EFB to ethanol, furfural, and electricity through co-production principal integrated with solar-assisted steam generation system, to achieve optimum economic and environmental performances. Economic performance is measured by NPV, while environmental performance by CO2 emission through life cycle analysis. The multi-objective optimization shows that the optimum temperature of hydrolisis reaction is 180°C and solar-assisted generation system is applicable for fulfilling steam need until 0,28 of mass fraction, which are represented by Pareto curve. CSP can fulfill all demand of steam funancially when the 10th unit established by learning curve projection. Fraction split of EFB into hydrolisis reactor is optimum at 0,25.

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ABSTRAK
Penelitian ini memiliki tujuan untuk menganalisis exergy, dampak lingkungan berdasarkan exergy, dan juga mencari kondisi optimum dari sistem propulsi kapal LNG dengan siklus kombinasi turbin gas dan turbin cascade CO2 sebagai alternatif sistem propulsi yang ramah lingkungan dan memiliki performa yang baik. Analisis exergy dilakukan pada kondisi simulasi yang didapatkan dari literatur jurnal yang terbaru dengan menggunakan software EES, dihasilkan efisiensi exergy sebesar 59 dengan efisiensi thermal 43.76. Analisis exergoenvironmental dilakukan dengan menggunakan software SimaPro, didapatkan sistem propulsi pada penelitian ini memiliki faktor exergoenvironmental sebesar 38.15. Pada penelitian ini dilakukan juga optimasi agar mendapatkan kondisi optimum dari segi exergy dan lingkungan, optimasi dilakukan menggunakan metode algoritma genetika melalui software Matlab. Sepuluh parameter dijadikan variabel penentu pada optimasi ini. Didapatkan 70 altermatif solusi pareto front, yang kemudian diambil keputusan satu solusi terbaik menggunakan metode TOPSIS. Alternatif variabel yang telah dipilih mampu meningkatkan efisiensi exergy hingga mencapai 60.93 dengan efisiensi thermal sebesar 46.78, dan faktor exergoenvironmental turun hingga mencapai 29.98. Dari penelitian ditunjukkan bahwa sistem propulsi yang diajukan dapat dijadikan sebagai alternatif sistem propulsi kapal LNG karena menghasilkan performa yang cukup unggul dari segi performa exergy dan energi maupun secara lingkungan dibandingkan sistem propulsi yang sudah ada sebelumnya.

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ABSTRACT
The objective of this research is to analyze the exergy, environmental impact and also to get the optimum condition of LNG carrier propulsion system using combined cycle of gas turbine and cascade CO2 turbine as an alternative for propulsion system which has good performance and eco friendly. The exergy analyzed at simulation condition based on newest journal by using EES, resulting at the exergy efficiency is 59 with thermal efficiency 43.96. The exergoenvironmental analyzed using SimaPro, resulting at exergoenvironmental factor of this system is 38.15. An optimization also being done at this research to get the optimum condition regarding its exergy and exergoenvironmental, the optimization was done using genetic algorithm by Matlab. Ten parameters was decided to be the decision variable at this optimization. There are 70 pareto optimal front, which then being choose for only one alternative by TOPSIS. The chosen alternativ can increase the exergy efficiency to 60.93 with its thermal efficiency is 46.78, and the exergoenvironmental factor decrease to 29.98. It can be said that the propulsion system which was generated in this research can be used as an alternative for LNG carrier propulsion system, regarding its good performance at exergy, energy and exergoenvironmental, compared to previous propulsion system.

Abstrak :
Multimedia telecommunication in the application level has been growing fast. One of its applications is interactive multimedia, i,e. computer game. This computer game will attract if it can be used in learning of decision making...

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ABSTRACT
This study considers the real situations of production between the products and the setup of production tools that are different. Therefore, this study considers the setup time of work stations and production batch in the production scheduling. This study proposed a random optimization algorithm with multi objective that can be selected to optimize the scheduling performance. VIP customers priorities, urgent orders, and asymmetrical setup times are considered. The objectives of this study include minimum makespan, minimum total delayed penalty, and minimum total number of delayed orders. After cases testing, we found that the proposed algorithm can improve the production performance efficiently.

Abstrak :
This study proposes a method of optimizing the dry storage design for nuclear-spent fuel from the G.A. Siwabessy research reactor at National Nuclear Energy Agency of Indonesia (BATAN). After several years in a spent fuel pool storage (wet storage), nuclear spent fuel is often moved to dry storage. Some advantages of dry storage compared with wet storage are that there is no generation of liquid waste, no need for a complex and expensive purification system, less corrosion concerns and that dry storage is easier to transport if in the future the storage needs to be sent to the another repository or to the final disposal. In both wet and dry storage, the decay heat of spent fuel must be cooled to a safe temperature to prevent cracking of the spent fuel cladding from where hazardous radioactive nuclides could be released and harm humans and the environment. Three optimization scenarios including the thermal safety single-objective, the economic single-objective and the multi-objective optimizations are obtained. The optimum values of temperature and cost for three optimization scenarios are 317.8K (44.7°C) and 11638.1 US$ for the optimized single-objective thermal safety method, 337.1K (64.0°C) and 6345.2 US$ for the optimized single-objective cost method and 325.1K (52.0°C) and 8037.4 US$ for the optimized multi-objective method, respectively.

Abstrak :
Kenyamanan termal merupakan aspek yang penting dalam sebuah ruangan. Dengan kenyamanan tersebut, penghuni suatu ruangan dapat merasa nyaman dan memperoleh kepuasan untuk beraktivitas di dalamnya. Berkaitan dengan hal tersebut, kelancaran dalam beraktivitas di sebuah ruangan juga perlu didukung oleh pencahayaan yang baik. Salah satu upaya yang dapat dilakukan adalah memanfaatkan bukaan jendela. Akan tetapi, bukaan jendela tersebut juga dapat memberi dampak pada kenyamanan termal akibat solar gain. Oleh karena itu, penulisan skripsi ini bertujuan untuk menginvestigasi bagaimana kondisi kenyamanan termal dan pencahayaan alami dalam ruang studio arsitektur dengan melakukan pengukuran lapangan, simulasi, dan optimasi dengan pendekatan multi-objective optimization (MOO). Optimasi yang dilakukan menggunakan parameter window-to-wall ratio (WWR) ini bertujuan untuk menemukan nilai WWR optimal yang dapat meningkatkan kenyamanan termal sekaligus menjaga ketersediaan pencahayaan alami dalam ruang studio arsitektur. Hasil performa kenyamanan termal dan pencahayaan alami yang diperoleh pada kondisi WWR optimal didapatkan sesuai dengan standar yang ditetapkan, lebih baik dibandingkan dengan hasil analisis pada kondisi WWR eksisting. ......Thermal comfort is a crucial aspect of a room. With thermal comfort, the occupants of a room can feel at ease and gain satisfaction in carrying out their activities within the room. In relation to this, a proper illumination is needed to maintain an uninterrupted set of activities. One of the efforts that can be made is to utilize window glazings. However, window glazings can also have impact on indoor thermal comfort due to solar gain. Therefore, the main goal of this thesis is to investigate the thermal comfort state and daylighting within the architectural studio room by conducting field measurements, simulations, and optimization with multi-objective optimization (MOO) approach. The optimization performed using the window-to-wall ratio (WWR) parameter aims to identify the optimal WWR value that is able to enhance the thermal comfort state while maintaining sufficient amount of daylighting within the architectural studio room. The results of the thermal comfort and daylighting performance achieved under the optimal WWR configurations resulted in compliance to standards, much better compared to the analyses results under the existing WWR conditions.