168 research outputs found

    Analysis of the Assessment Factors for Energy Planning in Indonesia using Analytic Hierarchy Process

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๊ธฐ์ˆ ๊ฒฝ์˜ยท๊ฒฝ์ œยท์ •์ฑ…์ „๊ณต, 2018. 2. Heo Eunnyeong.๊พธ์ค€ํ•œ ๊ฒฝ์ œ์„ฑ์žฅ๊ณผ ๋†’์€ ์ธ๊ตฌ ์ฆ๊ฐ€์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ์ธ๋„๋„ค์‹œ์•„์˜ ์—๋„ˆ์ง€๊ณ„ํš ์‹œ์Šคํ…œ ๋ฐ ์˜์‚ฌ๊ฒฐ์ •๊ณผ์ •์— ๋Œ€ํ•œ ํฌ๊ด„์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ์ง€๋‚œ ์ˆ˜์‹ญ ๋…„๊ฐ„ ์—†์—ˆ๋‹ค. ์ด๋กœ ์ธํ•˜์—ฌ ํ’๋ถ€ํ•œ ์ž์›์„ ๊ฐ€์ง€๊ณ  ์žˆ์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ์ฆ๊ฐ€ํ•˜๋Š” ์—๋„ˆ์ง€ ์ˆ˜์š”๋ฅผ ๊ณ ๋ คํ•œ ์ง€์†๊ฐ€๋Šฅํ•œ ์—๋„ˆ์ง€ ์‹œ์Šคํ…œ์„ ๋งŒ๋“ค์ง€ ๋ชปํ•˜๊ณ  ๋†’์•„์ง€๋Š” ์ „๋ ฅ ๋ถ€์กฑ ๋ฌธ์ œ์™€ ์—๋„ˆ์ง€ ์ˆ˜์ž… ์˜์กด๋„ ์ƒ์Šน์— ๋Œ€ํ•˜์—ฌ ๋Œ€์ฒ˜ํ•  ์ˆ˜ ์—†์—ˆ๋‹ค๊ณ  ํ‰๊ฐ€๋˜๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์˜์‚ฌ๊ฒฐ์ •๊ณ„์ธก(Analytic Hierarchy Process, AHP) ๋ถ„์„๋ฐฉ๋ฒ•๋ก ์„ ์ด์šฉํ•˜์—ฌ ์ธ๋„๋„ค์‹œ์•„์˜ ์—๋„ˆ์ง€์ •์ฑ… ๊ฒฐ์ •๊ณผ์ •์„ ๊ตฌ์กฐ์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•˜์—ฌ ์ธ๋„๋„ค์‹œ์•„์˜ ์—๋„ˆ์ง€ ๊ณ„ํš ์ˆ˜๋ฆฝ์‹œ ๊ณ ๋ คํ•ด์•ผ ํ•  ๋‹ค์–‘ํ•œ ํ‰๊ฐ€ ๊ธฐ์ค€๊ณผ ์š”์ธ์„ ๋ถ„์„, ์‹๋ณ„ํ•˜๊ณ  ์šฐ์„ ์ˆœ์œ„๋ฅผ ํ™•์ธํ•˜๊ณ ์ž ํ•œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ธ๋„๋„ค์‹œ์•„ ์ •๋ถ€์˜ ์—๋„ˆ์ง€ ๋‹ด๋‹น๋ถ€์ฒ˜ ๊ณต๋ฌด์› ๋ฐ ์ „๋ฌธ๊ฐ€๋ฅผ ๋Œ€์ƒ์œผ๋กœ AHP ์„ค๋ฌธ์„ ์‹ค์‹œํ•จ์œผ๋กœ์จ ์ •์ฑ…๊ณผ์ •์— ์ฐธ์—ฌํ•˜๊ณ  ์žˆ๋Š” ์‹ค์ œ ์ฐธ์—ฌ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์—ฐ๊ตฌํ•˜์˜€์œผ๋ฉฐ, ์ฃผ์š” ์—๋„ˆ์ง€์ •์ฑ… ์š”์†Œ๋“ค ์—ญ์‹œ ์‚ฌ์ „์„ค๋ฌธ์„ ํ†ตํ•˜์—ฌ ๋ฐœ๊ตดํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๋ชฉํ‘œ์— ๋”ฐ๋ผ ์—ฐ๊ตฌ๋Š” 2 ๋‹จ๊ณ„๋กœ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์ฒซ ๋ฒˆ์งธ ๋‹จ๊ณ„์—์„œ๋Š” ํฌ๊ด„์ ์ธ ๋ฌธํ—Œ ๊ฒ€ํ† ์™€ ์ „๋ฌธ๊ฐ€ ์„ค๋ฌธ์„ ํ†ตํ•˜์—ฌ ๋‹ค์„ฏ ๋ถ„์•ผ์˜ ์ฃผ์š”๊ธฐ์ค€์„ ๊ฒฐ์ •ํ•˜๊ณ  ์—๋„ˆ์ง€๊ณ„ํš์˜ ์ง€ํ‘œ๋กœ ํ™œ์šฉํ•  18 ๊ฐ€์ง€ ์š”์ธ์„ ์„ค์ •ํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ ๋‹จ๊ณ„์—์„œ๋Š” ์ „๋ฌธ๊ฐ€ ์˜๊ฒฌ ์ง‘๊ณ„ ์ ˆ์ฐจ๋กœ์„œ ์˜์‚ฌ๊ฒฐ์ •๊ณ„์ธต(Analytic Hierarchy Process)์„ ๊ตฌํ˜„ํ•˜๊ณ , ์ธ๋„๋„ค์‹œ์•„ ์ •๋ถ€์˜ ์—๋„ˆ์ง€ ๋‹ด๋‹น๋ถ€์ฒ˜ ๊ณต๋ฌด์› ๋ฐ ์ „๋ฌธ๊ฐ€๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์„ค๋ฌธ์„ ์‹ค์‹œํ•˜์—ฌ 18๊ฐœ ์š”์ธ๋“ค์˜ ์ค‘์š”๋„๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ  ์—๋„ˆ์ง€๊ณ„ํš ์‹œ์Šคํ…œ์„ ์œ„ํ•œ ํ†ตํ•ฉ ํ‰๊ฐ€๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ฐ€์ค‘์น˜ ์ถ”์ • ๊ฒฐ๊ณผ์—์„œ ์ธ๋„๋„ค์‹œ์•„์˜ ์—๋„ˆ์ง€์ •์ฑ… ์˜์‚ฌ๊ฒฐ์ •๊ณผ์ •์— 6๋Œ€ ์ฃผ์š” ์š”์†Œ๊ฐ€ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, ์—ฌ์„ฏ ๊ฐ€์ง€ ์ฃผ์š” ์š”์†Œ ์ค‘ ์—๋„ˆ์ง€์ž์› ์š”์†Œ๊ฐ€ ์‹ค์งˆ์ ์ธ ์—ญํ• ์„ ํ•จ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ์žฌ์ƒ์—๋„ˆ์ง€ ๋ถ„์•ผ ์ „๋ฌธ๊ฐ€๋“ค์˜ ์˜์‚ฌ๊ฒฐ์ •๊ตฌ์กฐ๊ฐ€ ์„์œ  ๋ฐ ๊ฐ€์Šค ๋“ฑ ๊ธฐ์กด ์ฃผ๋ ฅ์—๋„ˆ์ง€์› ๋ถ„์•ผ ์ „๋ฌธ๊ฐ€๋“ค์˜ ์˜์‚ฌ๊ฒฐ์ •๊ตฌ์กฐ์™€ ๋‹ค๋ฅด๋‹ค๋Š” ๊ฒƒ์„ ๋ฐํ˜”๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋“ค์„ ํฌํ•จํ•˜์—ฌ ๋„ค ๊ฐ€์ง€ ๊ฒฐ๋ก ์„ ๋„์ถœํ•˜์˜€๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ์ธ๋„๋„ค์‹œ์•„ ์ตœ์ดˆ๋กœ ์—๋„ˆ์ง€์ •์ฑ… ์ˆ˜๋ฆฝ์‹œ์Šคํ…œ์„ ๊ตฌ์กฐ์ ์œผ๋กœ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•˜์—ฌ ์ธ๋„๋„ค์‹œ์•„์˜ ์—๋„ˆ์ง€์ •์ฑ… ์ˆ˜๋ฆฝ๊ณผ์ •์— ์‹œ์‚ฌ์ ์„ ์ค„ ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค.Due to the absence of comprehensive decision-making process in Indonesias energy planning system, thus for the past decades Indonesia hasnt been able to provide sufficient and sustainable energy scenario to fulfill its energy demand caused by strong economic growth, high population level and increasing standards of living. Despite of abundant endogenous energy resources, Indonesia hasnt been able to cope with the issue of electricity shortage and high dependency on energy imports. In this regard, this research aims to analyze, identify and rank various assessment criteria and factors that should be taken into account for energy planning in Indonesia. This research used two-phase methodology. In the first phase a comprehensive literature review and experts inputs were used to identify five key dimensions of criteria and eighteen factors that considered as important indicators for energy planning. In second phase, as the procedure for the aggregation of expert opinions, Analytic Hierarchy Process (AHP) was implemented to rank the importance of each criterion and factor to develop an integrated assessment framework for energy planning system. From the weights estimation results, the most important criterion for energy planning in Indonesia is the energy resources criterion. Furthermore there are six highly important factors that should be taken into account for energy planning in Indonesia: pollutant and emission, resources durability, resources availability, volatility of energy prices, noise, and distance to user.1. Introduction 1 1.1 Motivation 1 1.2 Research Objective 3 1.3 Thesis Outline 7 2. Research Background 10 2.1 ย Indonesias Energy Resources and Potential 10 2.1.1 Oil Resources and Potential 11 2.1.2 Natural Gas Resources and Potential 14 2.1.3 Coal Resources and Potential 16 2.1.4 Resources and Potential of Geothermal Energy 18 2.1.5 Potential of Hydropower Energy 20 2.1.6 Potential of Solar Energy 22 2.1.7 Potential of Wind Energy 25 2.2 ย Major Challenges in Indonesias Energy Sector 27 2.2.1 Energy Resources as Export Commodities 29 2.2.2 Depleted Oil Reserves 30 2.2.3 Limited Energy Access and Infrastructure 31 2.2.4 Import Dependence on Fuel Oil and LPG 33 2.2.5 Renewable Energy Resources versus Fossil Fuels 34 2.2.6 Unexplored Potential of Renewable Energy 36 2.2.7 Low Awareness of Energy Conservation 38 2.3 Indonesias Future Energy Scenario 40 3. Literature Review 45 3.1 ย Multi Criteria Decision Analysis 45 3.1.1 Introduction 46 3.1.2 Why Analytic Hierarchy Process? 51 3.2 ย Previous Studies 55 3.3 ย Important Criteria and Factors in Energy Planning 63 4. Methodology 67 4.1 Analytic Hierarchy Process 67 4.2 Methodological Framework 77 4.3 Survey on AHP Pairwise Comparisons 87 5. Results and Discussion 90 5.1 Empirical Results 90 5.1.1 Consistency Analysis 90 5.1.2 Estimated Weights of Criteria 91 5.1.3 Estimated Weights of Factors 93 5.1.4 Results of Global Priorities 99 5.2 Results Discussion 102 5.2.1 Discussion for Local Priorities 102 5.2.2 Discussion for Global Priorities 107 5.2.3 Comparative Analysis 110 6. Conclusions 117 6.1 Overall Conclusions 117 6.2 Study Limitations and Scope for Future Work 121 Appendices References Abstract in Korean LanguageMaste

    Secure and Sustainable Energy System

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    This special issue aims to contribute to the climate actions which called for the need to address Greenhouse Gas (GHG) emissions, keeping global warming to well below 2ยฐC through various means, including accelerating renewables, clean fuels, and clean technologies into the entire energy system. As long as fossil fuels (coal, gas and oil) are still used in the foreseeable future, it is vital to ensure that these fossil fuels are used cleanly through abated technologies. Financing the clean and energy transition technologies is vital to ensure the smooth transition towards net zero emission by 2050 or beyond. The lack of longโ€term financing, the low rate of return, the existence of various risks, and the lack of capacity of market players are major challenges to developing sustainable energy systems.This special collected 17 high-quality empirical studies that assess the challenges for developing secure and sustainable energy systems and provide practical policy recommendations. The editors of this special issue wish to thank the Economic Research Institute for ASEAN and East Asia (ERIA) for funding several papers that were published in this special issue

    Land suitability assessment for agricultural crops in Enrekang, Indonesia: combination of principal component analysis and fuzzy methods

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    Land suitability assessment is essential for the efficient use of diminishing fertile agricultural land. Assessment parameters include soil texture, pH, the sum of basic cations, base saturation, cation exchange capacity, organic carbon, soil depth, slope, and mean annual temperature and precipitation data. Results showed that 76.28% and 23.26% of the total area were optimally and moderately suitable for coffee growth, respectively; 9.6% and 90% were optimally and moderately suitable for cocoa growth, respectively; 1.98%, 78.74%, and 19.26% were optimally, moderately, and marginally suitable for clove growth, respectively; and 6.68%, 86.89%, and 6.41% was optimally, moderately, and marginally suitable for pepper growth, respectively. The final land suitability index (LSI) was strongly influenced by the threshold values used by the researcher and the quality of the land indicator itself. Plant threshold values differed due to variations in plant recruitment. The main limiting factors were mean annual temperature <26ยฐC, acidic soil pH, and low CEC. This study showed that the fuzzy method is ideal for converting the numerical data of various magnitudes into membership function values and representing land suitability. The principal component analysis is an effective method to determine the weights of multiple factors in a systematic and objective manner. The linearity test found a correlation between LSI and production with f = 0.00, indicating that the applied model can predict agricultural production and is applicable to other agricultural land management

    Life Skills Education for Children with Special Needs In Order to Facilitate Vocational Skills

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    Children with special needs generally consist of children who experience delays and disruptions in their development so that require special handling to improve the ability of children with special needs. After conducting a survey at several extraordinary schools (SLB) in Makassar, it was found that the conventional delivery of materials from teachers resulted in an uncomfortable situation so that the students 'interest to learn a particular subject was very low, therefore a learning method was needed that could attract students' interest in following the lesson. Students hope to gain more knowledge and experience as study results, while teachers, on the other hand, expect that practical learning process can bring achievement in term of better cognitive, psychomotor, affective changes, and improvement of student life skill. After producing a Multimedia Based Learning model, this research carried out trial test on the developed product to several students of SLB (Sekolah Luar Biasa) in Makassar. It was found that the use of this Multimedia Based Learning Model by SLB students can develop their life skills such as personal skills, thinking skills, social skills, and vocational skills

    Fisheries and Aquaculture in the Modern World

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    This book has nine chapters on Aquaculture Wetland Ecosystem Services Approach and Climate Change Adaptation, which explain how different aquaculture systems could maximize the benefits that society receives from both aquaculture production and the ecosystem services provided by wetland ecosystems. Sustainable development of aquaculture must take into account the societal value of ecosystem services for an efficient and environmentally sound production of food. Although some issues regarding the potential benefits and implementation of sustainable aquaculture remain, the consideration of food security and minimizing ecosystem impacts suggest that the time has come to take action. If we can efficiently farm the land, why canโ€™t we farm more the sea and inland waters

    SPATIAL TRANSFORMATION PATTERN DUE TO COMMERCIAL ACTIVITY IN KAMPONG HOUSE

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    ABSTRACT Kampung houses are houses in kampung area of the city. Kampung House oftenly transformed into others use as urban dynamics. One of the transfomation is related to the commercial activities addition by the house owner. It make house with full private space become into mixused house with more public spaces or completely changed into full public commercial building. This study investigate the spatial transformation pattern of the kampung houses due to their commercial activities addition. Site observations, interviews and questionnaires were performed to study the spatial transformation. This study found that in kampung houses, the spatial transformation pattern was depend on type of commercial activities and owner perceptions, and there are several steps of the spatial transformation related the commercial activity addition. Keywords: spatial transformation pattern; commercial activity; owner perception, kampung house; adaptabilit
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