Universitas Gadjah Mada, 2017 Diunduh dari DAFTAR PUSTAKA

(1)

112 DAFTAR PUSTAKA

Adams, F.G., and Shachmurove, Y., 2008, Modeling and forecasting energy consumption in China: Implications for Chinese energy demand and imports in 2020, Journal of Energy Economics 30, 1263-1278.

Ahmed, K., Bhattacharya, M., Qazi, A.Q., and Long, W., 2016, Energy consumption in China and underlying factors in a changing landscape:

Empirical evidence since the reform period, Journal of Renewable and Sustainable Energy Reviews 58, 224-234.

Akbari, A. D., 2012, Metodologi Bayes-Fishbone: Hasil Inovasi Root Cause Analysis Tool untuk Mengidentifikasi Common Cause Variation dengan Mengintegrasikan Bayesian Network dan Diagram Fishbone, Skripsi Fakultas Teknik Universitas Gadjah Mada, Yogyakarta.

Akhwanzada, S.A. and Tahar, R.M., 2012, Strategic Forcasting of Electricity Demand Using System Dynamics Approach, International Journal of Environmental Science and Development, Vol. 4, No. 4, August 2012.

Armstrong, J.S., 2001, Combining Forecasts, Principles of Forecasting: A Handbook for Researchers and Practitioners, Kluwer Academic Publishers, Norwell.

Ayuningtyas, R., 2012, Pengembangan Model untuk Memonitor Kemajuan Proyek dengan Pendekatan Bayesian Belief Networks, Skripsi Fakultas Teknik Universitas Gadjah Mada, Yogyakarta.

Azadeh, A. Ghaderi, S.F., and Sohrabkhani, 2008, Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors, Journal of Energy Conversion and Management 49, 2272-2278.

Azam, M., Khan, A.Q., Zaman, K., and Ahmad, M., 2015, Factors determining energy consumption: Evidence from Indonesia, Malaysia and Thailand, Journal of Renewable and Sustainable Energy Reviews 42, 1123-1131.

Bank Indonesia, 2017, Pengenalan Inflasi, Pentingnya Kestabilan Harga, [online, diakses tanggal 24 Februari 2017],

URL:http://www.bi.go.id/id/moneter/inflasi/pengenalan/Contents/Pentingny a.aspx

Barak, S. and Sadegh, S.S., 2016, Forecasting Energy Consumption Using Ensemble ARIMA-ANFIS Hybrid Algorithm, Journal of Electrical Power and Energy System 82, 92-104.

PENGEMBANGAN MODEL UNTUK MERAMAL KONSUMSI ENERGI LISTRIK DI KAWASAN INDUSTRI KETAPANG KOTA

PANGKALPINANG DENGAN PENDEKATAN BAYESIAN NETWORK SUWANDI, Hari Agung Yuniarto, S.T., M.Sc., Ph.D.

Universitas Gadjah Mada, 2017 | Diunduh dari http://etd.repository.ugm.ac.id/

(2)

113

Bianco, V., Manca, O., Nardini, S., and Minea, A.A., 2010, Analysis and Forecasting of Nonresidential Electricity Consumption in Romania, Journal of Applied Energy 87, 3584-3590.

Boix, M., Montastruc, L., Pantel, C.A., and Domenech, S., 2015, Optimization Methods Applied to The Design of Eco-industrial Parks: A Literature Review, Journal of Cleaner Production 87, 303-317.

Borshchev, A., and A. Filippov. 2004. From system dynamics and discrete event to practical agent based modeling: reasons, techniques, tools. The 22nd International Conference of the System Dynamics Society, July 25-29, 2004, Oxford, England.

BPS (Badan Pusat Statistik) Provinsi Kepulauan Bangka Belitung, 2012, Kepulauan Bangka Belitung Dalam Angka 2012, Badan Pusat Statistik Provinsi Kepulauan Bangka Belitung, Pangkalpinang.

BPS (Badan Pusat Statistik) Provinsi Kepulauan Bangka Belitung, 2016, Provinsi Kepulauan Bangka Belitung Dalam Angka 2016, Badan Pusat Statistik Provinsi Kepulauan Bangka Belitung, Pangkalpinang.

Chandran, V.G.R., Sharma, S., and Madhavan, K., 2010, Electricity consumption–growth nexus: The case of Malaysia, Journal of Energy Policy 38, 606-612.

Chen, Y., Zhang, G., Jin, T., Wu, S., and Peng, B., 2014, Quantitative modelling of electricity consumption using computational intelligence aided design, Journal of Cleaner Production 69, 143-152.

Crompton, P. dan Wu, Y., 2005, Energy Consumption in China: Past Trends and Future Directions, Forthcoming in Energy Economics.

Dewi, R.E.P., 2009, Analisis Performansi Peramalan Kombinasi Time-Series Berbasis Akurasi, Nilai Galat, dan Stabilitas Hasil Peramalan, Skripsi Jurusan Teknik Mesin dan Industri Fakultas Teknik Universitas Gadjah Mada, Yogyakarta.

(3)

114

Do, L.P.C., Lin, K.H. and Molnar, P., 2016, Electricity Consumption Modeling: A Case of Germany, Journal of Economic Modelling 55, 92-101.

Duran, E., Aravena, C., and Aguilar, R., 2015, Analysis and decomposition of energy consumption in the Chilean industry, Journal of Energy Policy 86, 552-561.

El-Mefleh, M.A., 1999, Forecast Combination Methods and Economic Applications, National University, California.

Frechtling D.C., 2001, Forecasting Tourism Demand, Methods and Strategies, Butterworth-Heinemann, Linacre House, Jordan Hill, Oxford OX2 8DP Garshasbi, S., Kurnitski, J., and Mohammadi, Y., 2016, A Hybrid Genetic

Algorithm and Monte Carlo Simulation Approach to Predict Hourly Energy Consumption and Generation by a Cluster of Net Zero Energy Buildings, Journal of Applied Energy 179, 626-637.

Hamdi, H., Sbia, R., and Shahbaz, M., 2014, The nexus between electricity consumption and economic growth in Bahrain, Journal of Economic Modelling 38, 227-237.

Hanke, J.E., dan Wichern, D.W., 2005, Business Forecasting 8th Ed, Pearson Prentice Hall, New Jersey.

He, Y., Fullerton, T.M.J., and Walke, A.G., 2017, Electricity consumption and metropolitan economic performance in Guangzhou: 1950–2013, Journal of Energy Economics 63, 154-160.

Heckerman, D., Chickering, D., Meek, C., Rounthwaite, R., and Kadie, C., 2000, Dependency Networks for Inference, Collaborate Filtering, and Data Visualization, Journal of Machine Learning Inference, Vol. 1.

Hussain, A., Rahman, M. and Memon, J. A., 2015, Forecasting Electricity Consumption in Pakistan: The Way Forward, Journal of Energy Policy 90, 73-80.

INCOSE, 2010, System Engineering Handbook, A Guide For System Life Cycle Processes and Activities, International Council on System Engineering, INCOSE- TP-2003-002-03.2.

Kautsar, I., 2008, Dampak Industri Terhadap Kesejahteraan Pendududk Lokal Yang Bekerja di Sektor Industri di Kabupaten Bandung (Studi Kasus: Kecamatan Rancaekek, Majalaya, Solokan Jeruk, Skripsi Jurusan Perencanaan Wilayah dan Kota Institut Teknologi Bandung, Bandung.

(4)

115

Kaytez, F., Taplamacioglu, M.C., Cam, E., and Hardalac, F., 2015, Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines, Journal of Electrical Power and Energy Systems 67, 431-438.

Kim, Y.S., 2015, Electricity Consumption and Economic Development: Are Countries Converging to a Common Trend?, Journal of Energy Economics 49, 192-202.

Krause, P.J., 1998, Learning Probabilistic Networks, The Knowledge Engineering Review, Vol. 13, No. 4.

Law, M.A., and Kelton, W.D., 2000, Simulation Modeling and Analysis, 3^rd Edition, McGraw-Hill Higher Education, Singapore.

Lean, H.H., and Smyth, R., 2010, On the dynamics of aggregate output, electricity consumption and exports in Malaysia: Evidence from multivariate Granger causality tests, Journal of Applied Energy 87, 1963-1971.

Lin, B., Omoju, O.E., and Okonkwo, J.U., 2016, Factors influencing renewable electricity consumption in China, Journal of Renewable and Sustaiable Energy Reviews 55, 687-696.

Lopez, R. D., Cebollada, E. P., Agustin, J. L. B. and Ruiz, I. M., 2016, Optimisation of Energy Supply at Off-grid Healthcare Facilities Using Monte Carlo Simulation, Journal of Energy Conversion and Management 113, 321-330.

Makridakis, S., dan Wheelright, S.C., 1999, Metode dan Aplikasi Peramalan, Binarupa Aksara, Jakarta.

Maqrobi, S., dan Amin, P., 2011, Inflasi dan Pertumbuhan Ekonomi : Uji Kausalitas, Jurnal Dinamika Keuangan dan Perbankan, Vol.3, No.1, 1-16.

McCabe, B. and Ford, D., 2001, Using Belief Networks To Assess Risk, Proceedings of the 2001 Winter Simulation Conference, Canada.

Meigarani, I., Setiawan, W., dan Riza, L.S., 2010, Penggunaan Metode Bayesian Network dalam Sistem Pakar untuk Diagnosis Penyaktir Leukimia, Jurnal Ilmiah Program Ilmu Komputer Universitas Pendidikan Indonesia.

Mezghani, I., and Haddad, H.B., 2017, Energy consumption and economic growth: An empirical study of the electricity consumption in Saudi Arabia, Journal of Renewable and Sustainable Energy Reviews xx.

Moshe, Y.V., 1997, Verification of Open System, Foundations of software Technology and Theretical Computer Science, Proceeding: 17^th Conference Kharagpur, India.

(5)

116

Nafidi, A., Gutierrez, R., Sancez, R.G., Abalos, E.R., and Hachimi, S.E., 2016, Modelling and predicting electricity consumption in Spain using the stochastic Gamma diffusion process with exogenous factors, Journal of Energy 113, 309-318.

Neapolitan, R.E., 2004, Learning Bayesian Networks, Northeastern Illinois University, Chicago.

Niu, S., Jia, Y., Wang, W., He, R., Hu, L., and Liu, Y., 2013, Electricity consumption and human development level: A comparative analysis based on panel data for 50 countries, Journal of Electrical Power and Energy Systems 53, 338-347.

Pappas, S.Sp., Ekonomou, L., Karamousantas, D.Ch., Chatzarakis, G.E., Katsikas, S.K., and Liatsis, P., 2008, Electricity Demand Loads Modeling Using AutoRegresive Moving Average (ARMA) Models, Journal of Energy 33, 1353-1360.

Penasco, C., Rio, P.D., and Jordan, D.R., 2017, Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators, Journal of Utilities Policy xxx, 1-16.

PERDA Kota Pangkalpinang No.1, 2012, Tentang Rencana Tata Ruang Wilayah Kota Pangkalpinang Tahun 2011-2030, Pangkalpinang.

Peraturan Menteri Perindustrian No.143, 2010, Tentang Peta Panduan (Road Map) Pengembangan Kompetensi Inti Industri Kota Pangkalpinang, Jakarta.

PT. PLN (Persero), 2015, Statistik PLN 2015, Sekretariat Perusahaan PT. PLN (Persero), Jakarta.

PT. PLN (Persero), 2016, P3B Jawa Bali, http: //www.pln.co.id/p3bjawabali/

?p=454 (online accessed: 2 November 2016).

Prahasta, E. S., 2006, Kombinasi Peramalan Kausal dan Peramalan Time Series untuk Aplikasi Teknik Industri, Skripsi Jurusan Teknik Mesin dan Industri Fakultas Teknik Universitas Gadjah Mada, Yogyakarta.

Pramitaningrum, E. dan Masruroh, N. A., 2013, Development of Waste Monitoring Model in Yogyakarta City Using Bayesian Network Method, Proceeding of International Conference on Industrial Engineering and Service Science, Surabaya.

Rafindadi, A.A., and Ozturk, I., 2016, Effects of financial development,economic growth and trade on electricity consumption: Evidence from post- Fukushima Japan, Journal of Renewable and Sustaiable Energy Review 54, 1073-1084.

(6)

117

Roselina, Y. N., Purwantoro, S., dan Akbar, M., 2012, Aplikasi Diagnosa Penyakit Asma Menggunakan Bayesian Network Berbasis Web, Jurnal Teknik Informatika.

Rufael, Y. W., 2006, Electricity Consumption and Economic Growth: A Time Series Experience for 17 African Countries, Journal of Energy Policy 34, 1106-1114.

Sandiford, M., Forcey, T., Pears, A., and McConnell, D., 2015, Five Years of Declining Annual Consumption of Grid-Supplied Electricity in Eastern Australia: Causes and Consequences, The Electrycity Journal, 1040-6190.

Santoso, S., 2014, Statistik Multivariat Edisi Revisi: Konsep dan Aplikasi dengan SPSS, Elex Media Komputindo, Jakarta.

Sarker, A.R., and Alam, K., 2010, Nexus between Electricity Generation and Economic Growth in Bangladesh, Asian Social Science Vol. 6, No.12.

Shahbaz, M., Uddin, G.S., Rehman, I.U., and Imran, K., 2014, Industrialization, electricityconsumptionandCO2 emissions in Bangladesh, Journal of Renewable and Sustainable Energy Reviews 31, 575-586.

Shao, Z., Gao, F., Zhang, Q., and Yang, S.L., 2015, Multivariate statistical and similarity measure based semiparametric modeling of the probability distribution: A novel approach to the case study of mid-long term electricity consumption forecasting in China, Journal of Applied Energy 156, 502-518.

Shu, T., Zhong, X., and Zhang, S., 2011, TFP Electricity Consumption Efficiency and Influencing Factor Analysis Based on DEA Method, Energy Procedia 12, 91-97.

Sterman, J. D., 2004, Business Dynamics: Systems Thinking and Modelling for a Complex World, Irwin/McGraw-Hill, Boston.

Stevenson, J. W., 2004, Operations Management, McGraw-Hill Irwin, New York.

Sudarsono, 1990. Pengantar Teori Ekonomi Mikro. LP3S, Jakarta.

Tang, C.F., and Tan, E.C., 2013, Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia, Journal of Applied Energy 104, 297-306.

Taylor, B. W., 2010, Introduction to Management Science 10th Edition, Pearson Prentice Hall, New Jersey.

Terregrossa, J. S., 1999, Combining Analysts’ Forecasts with Causal Model Forecasts of Earnings Growth, Applied Financial Economics, Vol. 9 Issue 2 pp. 143-153.

(7)

118

Undang-Undang RI No. 30 Tahun 2009 Tentang Ketenagalistrikan, Jakarta.

Wang, W., Mu, H., Kang, X., Song, R., and Ning, Y., 2010, Changes in industrial electricity consumption in china from 1998 to 2007, Journal of Energy Policy 38, 3684-3690.

Wang, Z.X., and Hao, P., 2016, An improved grey multivariable model for predicting industrial energy consumption in China, Journal of Applied Mathematical Modelling 40, 5745-5758.

Wen, J.C., and Gang, H., 2009, Electricity Consumption and Its Impact Factors:

Based on the Nonparametric Model, Journal of System Engineering-Theory

& Practice 29, 5.

Wu, Y.P., Hu, Q.P., Poh, K.L., Ng, S.H., dan Xie, M., 2005, Bayesian Networks Modeling for Software Inspection Effectiveness, Proceedings of the 11th International Symposium Pacific Rim Dependable Computing (PRDC 2005).

Xia, C. Wang, J and McMenemy, K., 2010, Short, medium and long term load forecasting model and virtual load forecaster based on radial basis function neural networks, Journal of Electrical Power and Energy System 32, 743- 750.

Xingang, Z., Lu, L., Jieyu, W., and Xiaoping, C., 2012, Empirical Analysis about Influence Factors of Energy Consumption in China, Energy Procedia 17, 1255-1260.

Yoo, S.H., 2006, The Causal Relationship between electricity Consumption and Economic Growth in The ASEAN Countries, Journal of Energy Policy 34, 3573-3582.

Yuliana, S., 2012. Development of Stock Market Prediction Model Using Bayesian Network (Case Study of Jakarta Composite Index), Skripsi Fakultas Teknik Universitas Gadjah Mada, Yogyakarta.

Yu, S., Wei, Y.M., and Wang, K., 2012, A PSO–GA optimal model to estimate primary energy demand of China, Journal of Energy Policy 42, 329-340.

Yulianto, A. D., 2006, Studi Penggunaan Metode Peramalan Kombinasi untuk Meningkatkan Akurasi dalam Teknik Peramalan Time-Series, Skripsi Jurusan Teknik Mesin dan Industri Fakultas Teknik Universitas Gadjah Mada, Yogyakarta.

Zaman, K., Khan, M.M., Ahmad, M., and Rustam, R., 2012,

Determinants of electricity consumption function in Pakistan: Old wine in a new bottle, Journal of Energy Policy 50, 623-634.

(8)

119

Zeng, Y.R., Zeng, Y., Choi, B., and Wang, L.,

2017

, Multifactor-Influenced Energy Consumption Forecasting Using Enhanced Backpropagation Neural Network, Journal of Energy.

Zhang, C., Zhou, K., Yang, S., and Shao, Z., 2017, Exploring the transformation and upgrading of China’s economy using electricity consumption data: A VAR–VEC based model, Journal of Physica A 473, 144-155.

Zhao, X., and Yin, H., 2011, Industrial relocation and energy consumption:

Evidence from China. Journal of Energy Policy 39, 2944-2956.

Zilfiyah, S., 2013, Analisis Kontribusi Sektor Industri Terhadap Penyerapan Tenaga Kerja Sektor Industri di Indonesia (Periode tahun 2004-2010), Jurnal Ilmiah Fakultas Ekonomi dan Bisnis Universitas Barwijaya, Malang.