bluuebunny/crossref_metadata_2025 huggingface dataset:
Visualisasi Jalan Optis Cahaya dan Menentukan Refleksi Internal Total pada Lapisan Multi Film Tipis
Authors: Sinaga Ego Srivajawaty , Ngaderman Hubertus
Published: September 2023

Telah dilakukan penelitian visualisasi jalan optis cahaya matahari pada film-film tipis berlapis. Refleksi internal total juga didapatkan di akhir penelitian, dengan kondisi dimana cahaya matahari tersebut memasuki medium berlapis pada sudut-sudut tertentu. Medium berlapis ini adalah medium ideal dimana sifatnya adalah homogen dan isotropik, tetapi riset ini bisa dipakai juga sebagai acuan untuk medium-medium yang tidak homogen dan anisotropik.  Tujuan penelitian ini adalah visualisasi dan refleksi internal total pada medium film-film tipis berlapis. Khusus untuk visualisasi maka akan terlihat jalan-jalan optis cahaya yang memasuki medium berlapis. Untuk membuat visualisasi diperlukan komputasi dimana data-data untuk beberapa parameter ditentukan lewat perhitungan dan data utama adalah data sekunder yaitu lewat eksperimen. Data sekunder tersebut adalah indek bias masing-masing film tipis. Performansi sel surya organik juga dapat ditentukan jika kita melihat pada peristiwa kembalinya cahaya pada medium berlapis tersebut (refleksi internal total). Refleksi internal total terjadi pada sudut  hingga .
Identifikasi Sebaran Air Tanah Menggunakan Metode Geolistrik Resistivitas Di Daerah Abe Pantai, Distrik Abepura, Kota Jayapura
Authors: Griapon Rehabeam , Ansanay Yane , Bungkang Yusuf
Published: September 2023

Air merupakan kebutuhan pokok makhluk hidup. Penggunaan air semakin meningkat baik untuk keperluan kehidupan sehari-hari manusia, industri, pertanian maupun peternakan. Akibat pertumbuhan penduduk maka kebutuhan akan daerah pemukiman juga semakin meningkat yang mengakibatkan konsumsi air bertambah, sehingga persediaan air semakin terbatas. Berdasarkan masalah tersebut, penelitian ini dilakukan dengan tujuan mengidentifikasi sebaran air tanah di Daerah Abe Pantai, Distrik Abepura, Kota Jayapura. Penelitian ini menggunakan metode geolistrik resistivitas konfigurasi Schlumberger sebanyak 4 titik dan Wenner-Schlumberger sebanyak 1 lintasan dan mendapatkan hasil nilai resistivitas yang cukup bervariasi. Resistivitas rendah orde 1-10 Ωm diidentifikasi sebagai akuifer, nilai resistivitas orde 10-30 Ωm diidentifikasi sebagai lapisan batulempung, orde 30-100 Ωm diidentifikasi sebagai lapisan batupasir, dan nilai resistivitas >100 Ωm diidentifikasi sebagai lapisan batugamping. Lapisan akuifer pada daerah ini adalah lapisan batugamping dan batupasir. Ditemukan 2 pola dugaan akuifer pada lintasan Wenner – Schlumberger dengan volume yang cukup besar, dan lapisan akuifer pada keempat titik sounding. Dengan memperhitungkan kedalaman dan posisi titik sounding, serta arah strike lapisan, diduga lapisan akuifer pada titik ukur 1 dan titik ukur 2 merupakan lapisan akuifer yang sama dan saling terhubung. Begitu pula lapisan akuifer pada titik ukur 3 dan titik ukur 4, diduga merupakan lapisan akuifer yang sama dan saling terhubung.
Pengukuran Konstanta Dielektrik Air Pada Kolam Pemancingan Di Daerah Koya Barat
Authors: Rumbekwan Suryanti Ananda Putri Rumbekwan , Bungasalu Benny Abraham , Rahman Rahman , Waita Stenley Jelfons Jh.
Published: September 2023

Telah melakukan penelitian pengukuran dan pembandingan nilai konstanta dielektrik air pemacingan, koya Barat kota jayapura dengan air PDAM. Tujuan dari penelitian ini adalah melihat nilai konstanta dielektrik air, dari air Pemancingan Koya Barat, membadingkan deangan air PDAM Kota Jayapura, Dengan bentang alam yang merupakan dataran rendah dan berdekatan dengan daerah pesisir laut maka keadaan air tanah dan air permukaan dari daerah di sekitarak Koya Barat dan sekitarnya dipengauhi oleh air laut sehingg aterdapat beberapa daerah yang air tanahnya bersifat payau dan ada juga yang banyak mengandung mineral logam sehingga air berwarna kekuningan. Maka perlu dikaji mengaenai besaran fisis dari air yang digunakan dalam kolam pemacingan yang tersebar di daeraah Koya dan sekitarnya yaitu pada nilai koefisien dielektrik dari air kolam yang tersebar di daearah Koya. Pengukuran nilai konstanta dieletrik air Pemancingan dilakukan dengan menggunakan metode pelat sejajar yang diletakkan pada wadah yang berisi air tanah. Hasil dari penelitian adalah melihat pengukuran dan pembandingan nilai koefisian dan kapasitansi. Frekuensi terhadap nilai konstanta dielektrik air sampel, yaitu semakin besar frekeunsi, maka nilai koefisien dan kapasitansi semakin kecil.
Pengaruh Penambahan Minyak Goreng Kemasan Terhadap Konstanta Dielektrik Pada Minyak Buah Merah (Pandanus Conoideus L.)
Authors: Rumwaropen Emma Lien , Rahman Rahman , Sari Wahyu Kumala , Papilaya Eva
Published: September 2023

Buah merah merupakan hasil pertanian yang berasal dari Provinsi Papua. Untuk masyarakat setempat, diyakini bahwa buah Pandanus conoideus L. dapat mengobati beberapa penyakit degeneratif seperti kanker, arteriosklerosis, rheumatoid arthritis, dan stroke. Olahan minyak buah merah saat ini telah dikembangkan menjadi produk minyak buah merah. Besarnya potensi nilai ekonomis dari minyak buah merah maka terdapat peluang terjadinya kecurangan terhadap penjualan minyak buah merah yaitu dengan mencampurkan bahan tambahan ke dalam minyak buah merah. Tujuan dari penelitian ini adalah mengukur nilai konstanta dielektrik dari buah merah yang telah diberikan tambahan minyak goreng dengan menvariasikan volume dari minyak goreng kemasan yang digunakan. Pengukuran nilai konstanta dieletrik minyak buah merah dilakukan dengan menggunakan metode pelat sejajar yang diletakkan pada wadah yang berisi minyak buah merah. Pencampuran minyak buah merah dan minyak goreng dilakukan dengan cara menambahkan minyak goreng ke dalam minyak buah merah. Hasil penelitian memperlihatkan bahwa pada penambahan minyak goreng pada minyak buah merah akan merubah nilai konstanta dielektrik minyak buah merah tetapi agak sulit dibedakan karena nilai awal konstanta keduanya berada pada nilai yang hampir sama.
Sintesis Hidroksiapatit Dari Cangkang Telur Ayam Ras Asal Desa Koya Tengah Distrik Muaratami, Kota Jayapura
Authors: Tekege Gergoria , Haryati Endang , Dahlan Khaeriah
Published: September 2023

Cangkang telur ayam ras berasal dari buangan sampah peternakan ayam petelur dan sampah dapur rumah tangga. Cangkang telur ayam ras memiliki kandungan kalsium karbonat (CaCO3) yang sangat tinggi, yaitu sebesar 97%, 3% fosfor, 3% magnesium, natrium, kalium, seng, mangan, besi, dan tembaga. Cangkang telur ayam ras digunakan sebagai prekursos kalsiun oksida (CaO) pada sintesis hidroksiapatit. Hidroksiapatit ini memiliki sifat biokompatibel, bioaktif, osteokonduktif, tidak toksik, dan tidak imunogenik. Hidroksiapatit dapat disintesis menggunakan prekursor kalsium oksida (CaO) dan prekursor fosfat (NH4PO4 /(NH4)2HPO4). Penelitian ini bertujuan untuk memanfaatkan cangkang telur ayam ras sebagai prekursor kalsium oksida CaO untuk mensintesis HAp dan melakukan karakterisasinya. Analisis serbuk HAp menggunakan Fourier Transform Infrared (FTIR) untuk menentukan gugus fungsi dan analisis Scanning Electron Microscopy- Energy Dispersive X-Ray (SEM-EDS) untuk menetukan morfologi permukaan, ukuran partikel dan komposisi mineral dari cangkang telur ayam ras. Sintesis hidroksiapatit ini dilakukan dengan metode presipitasi dengan suhu sintering 900°C. Kemudian dikarakterisasi menggunakan FTIR dan SEM-EDS. Hasil spektrum FTIR memperlihatkan adanya gugus fungsi OH, C-H, N-H, C-O, dan PO4. Hasil SEM-EDS menunjukkan bahwa morfologi permukaan senyawa hidroksiapatit bergranular dengan ukuran partikel berkisar 1,75 dan 1,5 . dan terdapat 4 unsur, yaitu Karbon (C), Oksida (O), Posfor (P) dan Kalsium (Ca).
Industrialization and CO2 Emissions: Accounting for the role of Renewable Energy in OIC Member States
Authors: Salahodjaev Raufhon , Djalilov Bekhzod , Kobiljonov Islomjon , Otajonov Shukhrat , Kasimova Nargiza
Published: September 2023

The aim of this study is to assess the relationship between industrialization and CO2 emissions in a sample of OIC member states over the period 1995-2020. The study adopts panel data methods such as two-step system GMM estimator to account for the problems of endogeneity and simultaneity. The empirical results suggest that industrializing has positive effect on CO2 emissions. In contrast, renewable energy and financial development has pollution inhibiting impact on CO2 emissions. Our results also show that GDP and ICT usage leads to a rise in CO2 emissions. The policy implications of the study are discussed.
A Framework to Forecast Electricity Consumption of Meters using Automated Ranking and Data Preprocessing
Authors: Guzel Tulin , Cinar Hakan , Cenet Mehmet Nabi , Oguz Kamil Doruk , Yucekaya Ahmet , Hekimoglu Mustafa
Published: September 2023

Forecasting electricity consumption is crucial for the operation planning of distribution companies and suppliers and for the success of deregulated electricity markets as a whole. Distribution companies often need consumption forecasting for meters to better plan operations and demand fulfillment. Although it is easier to forecast the aggregated demand for a region, meter based demand forecasting brings challenging issues such as non-uniform usage and uncertain customer consumption patterns. The stochastic nature of the demand for electricity, along with parameters such as temperature, humidity, and work habits, eventually causes deviations from the expected demand. In this paper, real meter data from a regional distribution company is used to cluster the customer using their non-uniform usage and automated ranking mechanism is proposed to select the best method to forecast the consumption. The proposed end-to-end methodology includes data processing, missing value detection and filling, abnormal value detection, and mass reading for meters and is applied to regional data for the period 2017-2018 and provides a powerful tool to forecasts the demand in hourly and daily horizons using only the past demand data. Besides proposing effective methodologies for data preprocessing, 10 different regression methods, 7 regressors, 5 machine learning methods that include LSTM and Ar-net models are used to forecast the meter based consumption. The hourly forecasting errors in the demand, in the Mean Absolute Percentage Error (MAPE) norm, are less than 4% for most customer groups. The meter based forecast is then aggregated to reach a final demand which is then used for operation and demand planning. The proposed framework can be considered reliable and practical in the circumstances needed to make demand and operation decisions.
Mangrove Ecosystem Management for Sustainable Renewable Energy Production: A Multi-Dimensional Analysis
Authors: Hanifah Abu , Sukendi Sukendi , Thamrin Thamrin , Putra Ridwan Manda
Published: September 2023

Mangrove ecosystems have become a critical habitat for sustaining renewable energy production, and their management is essential to maintain their ecological, economic, and social functions. This study aimed to analyze the multidimensional aspects of mangrove ecosystem management for sustainable renewable energy production in the Tebing Tinggi, Kepulauan Meranti, Riau. This study formulates sustainable management schemes for the mangrove ecosystem in the Tebing Tinggi, Kepulauan Meranti, Riau by analyzing the ecological, economic, social, legal-institutional, and technological aspects of the ecosystem.  To conduct this analysis, researchers used the Multidimensional Scaling (MDS) approach, which relies on an algorithm called the MDS algorithm. The findings from the study reveal that the use of mangroves can increase people's income, but the level of community education is still low, and there is a lack of community participation in mangrove ecosystem management activities. Based on the Rap-Mangrove analysis, the multidimensional index of mangrove ecosystem management is considered sufficiently sustainable. The findings emphasized the significance of community participation and education in managing mangrove ecosystems. The study concludes that sustainable management schemes for mangrove ecosystems are necessary to ensure their continued contribution to renewable energy production.
ESG Leverage towards Stock Performance in Indonesia Stock Exchange
Authors: Sugiarto Agus , Puspani Ni Nyoman , Fathia Fara
Published: September 2023

Increased numbers of policy tools related to sustainable finance has encourage investors to consider the factor of environmental, social, and governance (ESG) in their investment decisions, which has also became one of the main drivers of the recent surge of assets under management (AUM) of global and Indonesian ESGs. This study analyzes the influence of ESG factors on the performance of stocks by using fixed effect model as well as analyzing the perception of investor to ESG as an indicator to determine investment by using the survey method. The results of the study show that the ESG value has a positive influence on the stock performance which was proxied by the value of the market capitalization. Of the three ESG factors, only social factors that have a positive and significant influence on stock performance. Based on the survey results, individual and institusional investors in Indonesia already have a good understanding of ESG; have high interest in ESG; and has allocated their investment towards ESG stocks. In addition, the factor that investors are considered the most in their investment decisions are carbon emissions and waste management in environmental factors; social impact on social factors; and reputation on the governance factors.
Technical-economic Analysis of Power Generation with Steam Cycles Fed with Residual Biomass from Rice and Corn
Authors: Rhenals-Julio Jesus D. , Juan G. Castellar  , Cesar A. Camargo  , Mendoza Jorge M.
Published: September 2023

Technical and economic aspects for power generation based on residual biomass from rice and corn were evaluated in the department of Córdoba. The physicochemical characteristics of the biomass were determined as a blend for power generation using a conventional Rankine cycle with co-combustion, and the energy potential of the system and mass flows were determined through energy balances. Subsequently, thermodynamic analysis allowed establishing that the proposed system's efficiency is 24,4%. Regarding the effect of co-combustion in the process, it was found that increasing the fraction of rice husk in the mixture led to a reduction in net power production and an increase in cost. Finally, it was estimated that to achieve economic feasibility, a plant with a minimum of 20 MW and a generation cost of 0,172 USD/kWh is required.
The Impact of Renewable Energy Consumption and Economic Growth on Environmental Degradation in Somalia
Authors: Mohamud Iqra Hassan , Mohamud Ahmed Abdirashid
Published: September 2023

This study investigates the impact of renewable energy consumption and economic growth on environmental degradation in Somalia between the period 1990-2020. Econometric tools ARDL and Pairwise Granger Causality Test were used. A stationarity test was first carried out to ascertain the stationarity and all variables are all integrated of order (0) and (I). Results from the short term demonstrate a positive, significant relationship between renewable energy usage, oil price, and environmental deterioration, and a negative, significant relationship between foreign direct investment (FDI), population, and environmental degradation. More so, in the short term, there is a positive and insignificant relationship between economic growth and environmental degradation. while the long-run result revealed a positive, significant relationship between FDI, population, oil price, and environmental degradation, as well as a negative, significant relationship between the use of renewable energy, economic growth, and environmental degradation. Results indicate that renewable energy consumption is a key contributor to environmental degradation in both short and long-run periods in Somalia. The result from the Granger causality test revealed that there is unidirectional causality from EG to ED, REC to ED, ED to FDI, and FDI to EG of Somalia.
The Impact of Environmental Performance on Economic Growth: A Study of ASEAN Countries
Authors: Lestari Rini , Ramdani Boyke Rahmat , Purnamasari Pupung , Nurfahmiyati N.
Published: September 2023

The aim of this study is to explore the effect of environmental performance on economic growth, the effect of environmental performance on health expenditure, the effect of health expenditure on economic growth, and the role of health expenditure in mediating the effect of environmental performance on economic growth. The study uses a quantitative research method with a verification approach and utilizes secondary data from the World Bank Indicator. Purposive sampling has been used in this study, and the sample involved countries from the ASEAN region. The statistical analysis tool used in this study is EViews version 12. The results indicate that environmental performance has an impact on economic growth, that environmental performance affects health expenditure, that health expenditure has an impact on economic growth, and that health expenditure can mediate the impact of environmental performance on economic growth. According to the study's findings, ASEAN companies must reduce the environmental damage caused by their activities in order to improve their environmental performance, which will help boost economic growth in ASEAN countries
Forecasting of Domestic Electricity Consumption in Assam, India
Authors: Talukdar Ruma , Mahanta Nibedita
Published: September 2023

Though the power supply scenario in Assam is not comparable with other developed states of India, yet it is improving gradually. With increasing household electrification rate, increasing income and technological development, the share of Domestic electricity consumption in the state is experiencing a rapid growth in comparison to the other sectors like Industry, Commerce, Agriculture etc. and therefore the forecasting of domestic electricity consumption become very important to meet the power needs of the consumer. The aim of this study is to suggest the best forecasting model for domestic electricity consumption in Assam. For this purpose, three models viz. Multiple Linear Regression considering the effects of population and per capita income; ARIMA and Growth curves viz Linear, Quadratic, Cubic, Exponential, Logarithmic and Inverse are used considering the time period 1980-2018. When growth curves are compared in terms of diagnostic criteria- Adjusted R2, RMSE, AME and MAPE, then it is found that exponential model fits the data better than the other growth models. After that, comparisons are made among the models Multiple Linear Regression, ARIMA and Exponential by considering their average relative error and found the efficiency of ARIMA the highest followed by Exponential and Multiple Linear Regression models. Therefore, forecasting of domestic electricity consumption in Assam has been done with ARIMA model for the next 10 years.
Nuclear Energy Generation, Fossil Fuel Price, Energy Mix Generation, Economic Growth, FDI Inflow and CO2 Emission: A Case Study on Developed and Developing Countries in the Asia Pacific Region
Authors: Adi Tri Wahyu , Pawenary Pawenary , Prabowo Eri
Published: September 2023

The net-zero scenario by 2050 (NZE) is a normative scenario that sets the stage for the global energy sector to reach net-zero emissions by 2050. This research aims to explore nuclear energy generation as a potential technological change in a future power generation base load, the factors that are affected and the effects on economic growth, FDI inflow, and CO2 emission in developed and developing countries in the Asia Pacific. The empirical analysis uses time-series data of nuclear energy generation, fossil fuel price, energy mix generation, economic growth, FDI inflow, and CO2 emission in the period 2001 – 2021. The inferential statistical method used to analyse in this research is a component-based using SmartPLS 3.2.9. This research find that Fossil fuel prices have no significant positive effect on nuclear energy generation in developed countries, and the opposite in developing countries, while a negative not significant effect on CO2 emission in both developed and developing countries, with a positive significant effect on economic growth in developed countries and the opposite in developing countries, with a negative significant effect on FDI inflow in developed countries and the opposite in developing countries, with a negative not significant effect on energy mix generation in developed countries and the opposite in developing countries. Nuclear energy generation has a negative not significant effect on energy mix generation in developed countries and the opposite in developing countries, with a negative not significant effect on economic growth in developed countries and the opposite in developing countries, with a positive not significant effect on FDI inflow in developed countries and the opposite in developing countries, with a positive significant effect on CO2 emission in developed countries and the opposite in developing countries. The energy mix generation find has a negative significant effect on economic growth in developed countries and the opposite in developing countries, with a positive significant effect on FDI Inflow and CO2 emission in both developed and developing countries. Economic growth has a negative not significant effect on CO2 emission in both developed and developing countries. FDI inflow has a negative significant effect on CO2 emission in developed countries and the opposite in developing countries.
Exploring the Factors behind Renewable Energy Consumption in Indonesia: Analyzing the Impact of Corruption and Innovation using ARDL Model
Authors: Voumik Liton Chandra , Akter Salma , Ridwan Mohammad , Ridzuan Abdul Rahim , Pujiati Amin , Dwi Handayani Bestari , Keshminder J. S. , Md Razak Mohamad Idham
Published: September 2023

The study examines the relationship between corruption, innovation, and renewable energy consumption in Indonesia using the Marshalian Demand Function (MDF) framework. The research analyzes data from 1984 to 2020 and applies several statistical tests to validate the model's accuracy. The Autoregressive Distributed Lag (ARDL) approach is applied to evaluate the long and short-term effects of several variables on renewable energy consumption. The study finds that economic growth, number of patents, and FDI positively impact renewable energy consumption in the long term, while urbanization has a negative impact. Trade openness has no long-term impact on renewable energy consumption. In the short term, FDI, corruption, and the number of patents were found to have a significant negative association with renewable energy consumption, while GDP had a significant positive correlation. Diagnostic tests validate the model's suitability and ensure that it lacks heteroscedasticity and serial correlation. The study emphasizes the importance of encouraging renewable energy consumption and addressing the problems of urbanization and corruption in Indonesia to achieve a more sustainable and energy-efficient future.
An Analysis of Effect on Energy Saving of Trucks in Transport and Logistics Business
Authors: Poolkrajang Akkarat
Published: September 2023

This research aimed to analyze the effect on energy saving of trucks in the transport and logistics business by monitoring and evaluating truck drivers. A sample of seventy-four 10-wheel trucks was selected. Fuel consumption data was collected from drivers as they operated their vehicles using GPS systems. The results suggested a total reduction of fuel consumption with improved fuel consumption rates. Annual mileage affected better energy saving: trucks with high annual mileage were more capable of reducing fuel consumption than those with low mileage. The effect on energy-saving was 0.16 ktoe per year, suggesting a cost saving of 5.8 million baht per year.
The Green Effect: Exploring the Impact of Innovation and Foreign Direct Investment on Environmental Quality in Malaysia
Authors: Ridzuan Abdul Rahim , Dash Santanu Kumar , Porwal Ashish , Dhayal Karambir Singh , Rahman Nur Hayati Abd , Omran Mohammed
Published: September 2023

Do innovation and foreign direct investment (FDI) matter in greening the eco-system, and why not? They can lead to new technologies and knowledge, better efficient renewable energy, and reduced energy consumption; in turn this presumably reduces carbon emissions. In this study, we capture the short-and long-term impact of innovation and FDI, among other macro-variables, on the environmental quality in Malaysia using time series data over the period 1990-2020. Our empirical models find that both innovation and FDI have significant and positive impact on environmental quality in Malaysia, although it is only significant in the short-run for the first one, while significant in the long-run for the latter ones. The disappointing findings from our study is that both economic growth and urbanization show negative impact on environmental quality as CO2 tends to increase with higher levels of GDP and urbanization. An important policy recommendation that we can draw from this paper is that Malaysian policy-makers should, and foremost, focus on designing growth and urbanization policies, regulations and procedures that are environmentally induced to achieve decoupling goal in its development path. We believe that attracting more focused FDI that supports clean and green economy, better innovations and policies to replace traditional energy with clean and renewable ones, could achieve decoupling goal that leads to a reduction in CO2 emissions and improve environmental quality while keep growing in the world economy, including Malaysia.
Corporate Financial Performance and the Intervening Role of Energy Operating Costs: The Case of Jordanian Electricity Sector
Authors: Aladwan Mohammad , Alsinglawi Omar , Alhawatmeh Omar M. , Almaharmeh Mohammad
Published: September 2023

This paper analyzes the impact of financial performance reported data on market value. The study was conducted on electricity companies for the period 2011 to 2021. The study also empirically analysis the intervening role for oil and gas as operating costs on this relationship. The empirical analysis involved testing the direct effect for company size (TA), profitability (ROE), debt (DR), liquidity (CR) and oil and gas price (OG-P) as independent variables on market value measured by price to book value (P-BV) as dependent variable. Several statistical test were used in the study comprise correlation, simple and multiple regression through Ordinary Least Square (OLS) in order to verify the effect of independent and mediating variables on the dependent variable. The main findings based on correlation, simple and multiple regression can be summarized as follows: independent variables namely ROE, CR and the mediating variable OG-P were found statistically significant and justified the change in market value; other factors TA and DR failed to prove any effect on market value of companies. The oil and gas costs confirmed their impact on market value as single variables effect and joint variable effect.
Comparison of Renewable and Non-Renewable Energy in the Long and Short Term of Indonesia Economy
Authors: Wahyudi Heru , Ciptawaty Ukhti , Ratih Arivina , Pratama Ahmad Dhea
Published: September 2023

Indonesia has established Government Regulation Number 79 of 2014 concerning National Energy Policy (KEN). KEN as a public policy product was determined after going through a "top-down" debate since 2010. KEN's target only focuses on energy supply, even though energy policy has shifted to the side of energy demand. KEN does not set greenhouse gas mitigation targets. To support the achievement of KEN's goals regarding the mix of new and renewable energy (EBT). Indonesia has great potential, but can the potential be maximized by the government in the direction of better and environmentally friendly energy policies. This study analyzes the movement of renewable and non-renewable energy to the Indonesian economy from 1990-2021, using the Error Correction Model (ECM) statistical method by considering short-term and long-term results in the model. long-term results Consumption of non-renewable energy (CFE) has a positive and significant impact on increasing economic growth by 7.14%. Renewable energy in the form of electricity (RE) has a positive and significant influence in increasing economic growth by 0.18%, while the results of renewable energy through water resources (RIF) do not have a positive but not significant impact on Indonesia's economic growth. In the short-term results of the Error Correction Model (ECM), consumption of non-renewable energy (CFE) has a positive and significant effect on increasing economic growth by 5.35%. while the results of renewable energy in the form of electricity (RE) and renewable energy through water resources (RIF) do not have a positive but not significant impact on Indonesia's economic growth during 1990-2021.
Μοdeling Environmental Degradation: The Effects of Electricity Consumption, Economic Growth and Globalization
Authors: Stamatiou Pavlos
Published: September 2023

This study aims to explore the effects of electricity consumption, economic growth and globalization on CO2 emissions in the case of the top ten electricity consuming countries. The sample used is annual data covering the period 1990-2018. This paper adopts the cross-sections independence and controls the heterogeneity between cross-sections by using the second generation econometric of panel data. More precisely, the CIPS unit root test, Pedroni (1999) cointegration, Westerlund (2007) bootstrap cointegration, and FMOLS and DOLS techniques have been applied. Additionally, the Dumitrescu and Hurlin (2012) panel causality test is used to investigate the causal nexus among the examined variables. The findings of the study support that all variables are integrated in the long run. Electricity consumption and economic growth have a positive and significant effect on CO2 emissions in these countries. On the other hand, globalization has a negative and significant effect on CO2 emissions, implying the improvement of environmental quality. The results also support the Environmental Kuznets Curve (EKC), as well as bidirectional causalities between economic growth and CO2 emissions, between electricity consumption and CO2 emissions, and between economic growth and globalization. Furthermore, unidirectional causalities running from globalization to CO2 emissions, from economic growth to electricity consumption, and from electricity consumption to globalization are found. Policy implications are further discussed.
Photovoltaic Power Plant Feasibility Study Based on Indonesia’s Renewable Energy Tariffs: A Study of Nusa Penida Solar Power Plant
Authors: Prahastono Iswan , Paradongan Hendry Timotiyas , Aditya Indra A. , Banjarnahor Kevin M. , Sinisuka Ngapuli Irmea
Published: September 2023

This study conducts feasibility study on 3.5 MW photovoltaic (PV) power plant in Nusa Penida based on Indonesia’s existing renewable energy tariffs. Three scenarios were developed utilizing RETScreen software, according to the power plant specification. Base case scenario was developed to determine the feasibility of the PV power plant based on independent power producer perspective. PLN scenario was developed to determine the feasibility of the PV power plant based on Indonesia’s state-owned electricity company. Clean-energy scenario was developed to determine the feasibility of the PV power plant if there was a $20/tCO2 emission reduction incentive in Indonesia. The base case scenario results showed that the existing PV tariffs for PV power plant project was not sufficient to make the project financially viable based on the IPPs perspective. The PLN scenario results showed that the PV power plant project is very profitable based on PLN perspective due to high cost-savings. The clean-energy scenario results showed that $20/tCO2 emission reduction incentive was sufficient to make the PV power plant project financially viable based on the IPPs perspective. Based on those results, this study recommends emission-reduction incentives as a mean of attracting more investors. This study also recommends PLN to utilize more PV power plant, especially if the region have high generation cost as a means to lower Indonesia’s energy cost thus making energy more accessible for everyone.
The Role of Green Marketing and Promotion of Green Energy Bonds to Reduce Carbon Emissions in Indonesia
Authors: Sabbar Sabbar Dahham , Musa Hani Amer , Kadir Abdul Rahman , Nohong Mursalim , Manan Arifuddin , Munizu Musran , Anwar Anas Iswanto
Published: September 2023

This paper investigates the impact of green marketing on the adoption of green bonds. Using econometric methods, the study uses panel data of Indonesia 560 Indonesian firms regulated under the Indonesia Stock Market from 2002 to 2021. The findings show that green marketing can increase the demand for green bonds. This is because green marketing can raise awareness of the benefits of green bonds and can make them more attractive to investors. The study also finds that income and trade openness positively correlate with carbon dioxide emissions, while human capital is negatively correlated with carbon dioxide emissions. This suggests that countries with higher incomes and more trade openness tend to emit more carbon dioxide. In contrast, countries with higher levels of human capital tend to emit less carbon dioxide. Overall, the study's findings offer important new information about how green marketing affects the adoption of green bonds and the connection between economic variables and carbon dioxide emissions. The findings could encourage the use of green bonds and lower carbon dioxide emissions. They also have ramifications for investors and governments.
A Bibliometric Analysis of the International Journal of Energy Economics and Policy: 2013-2022
Authors: Solanki Sandip , Singh Seema , Joshi Meeta
Published: September 2023

This paper performs a bibliometric analysis of the International Journal of Energy Economics and Policy (IJEEP) for 2013-2022. Bibliometrix R package (R studio) and Scopus database were used for the study and examined 2194 documents published in the journal between 2013-2022. The results showed an upward trend in publications with a yearly growth rate of 21.92%. H. Mahmood is the most relevant author by the number of papers published with the highest h-index, while the most-cited author is A. Mikhaylov. This research revealed that Indonesia is the most productive country in terms of publications, while Malaysia is the most-cited nation. Covenant University is the most productive university in terms of overall publications. The results show that there are 4782 authors’ keywords in total. Of these keywords, “economic growth” is the top keyword, with more than 293 occurrences. Intellectual and social structures highlighted collaborations amongst authors, institutes and countries.
The Impact of Economic Complexity, Usage of Energy, Tourism, and Economic Growth on Carbon Emissions: Empirical Evidence of 102 Countries
Authors: Arslan Aniqa , Qayyum Arslan , Tabash Mosab I. , Nair Kiran , AsadUllah Muhammad , Nalini Daniel Linda
Published: September 2023

This study tries to investigate the impact of economic complexity, usage of energy, tourism, and economic growth on carbon emissions. Economic complexity, economic growth, air travel, and renewable and non-renewable energy consumption have all been the subject of several studies looking at environmental impact on humans. In light of the Environmental Kuznets Curve concept, it is critical to re-evaluate environmental challenges in today’s complex economy. For this purpose, we took the data of 102 countries ranging from 1994 to 2018 and divided such countries into low-income and high-income groups on the basis of GDP per capita. This study applied static models such as pooled, random, and fixed effects. In addition to that, it also applies dynamic model i.e. step-wise system GMM approach for testing the individual and combined effects by controlling for endogeneity. Our results show that tourism has positive and significant impact on carbon emissions. Moreover, the effects are more pronounced for high-income groups. Economic complexity has negative and positive effect on carbon emissions for high-income groups and low-income groups respectively. Moreover, GDP has negative and positive effect on carbon emissions for low-income groups and high-income groups. Our results are consistent by using step-wise system GMM and are robust in nature. Hence, static and dynamic models provide same results with minor differences. This study divides the 102 countries into low-income and high-income groups on the basis of their GDP per capita. It applied static and dynamic models for checking the impact of ecological footprints, economic complexity index, and air travel on environment by supporting Environment Kuznets Curve.
The Shocks of Climate Change on Bank Loans
Authors: Sugiarto Agus , Puspani Ni Nyoman , Trisilia Mustika Septiyas
Published: September 2023

Climate change poses new challenges to the banking sector. Thus, in this paper, we investigate the effect of climate change on bank loans using panel data covering 7,865 banks in Indonesia from 2011-2021. We define bank loans into three variables, i.e., outstanding credit, non-performing loans (NPLs), and interest rates. Our results suggest that, of the six climate-related disasters, the flood has a significant and consistent effect. An increase in the frequency of floods reduces credit and increases NPLs. Consistent results are found for disaster risk index scores. The empirical results show that there is a negative effect of climate change on bank loans so further policies from banks and regulators' side are needed.
Production, Consumption, Export and Carbon Emission for Coal Commodities: Cases of Indonesia and Australia
Authors: Aimon Hasdi , Kurniadi Anggi Putri , Sentosa Sri Ulfa , Rahman Nurhayati Abd
Published: September 2023

The contribution of this study is to analyze the impact of a series of economic activities from the coal commodity on carbon emission. This research specifically focuses on coal exporting countries in Asia Pacific, including Indonesia and Australia during the period 2000 to 2022. The purpose of this study is to investigate the influence between production, consumption and export of coal and its determinants, and also the effect on carbon emission. This study applies the simultaneous equation approach and panel regression. The main findings of this study are that coal consumption, coal export, technological innovation and coal price have a positive and significant effect on coal production. Furthermore, coal production, domestic income and domestic investment have a positive and significant effect on coal consumption, while coal export has a negative and significant effect. Then, coal production and coal stock have a positive and significant effect on coal export, while coal consumption and domestic investment have a negative and significant effect. Finally, production, consumption and export of coal commodities contribute to increasing carbon emission. We recommend the coal exporting countries analyzed in this study to implement coal energy control in addressing increasing carbon emission at the global level.
Quantifying the Saved Social Costs of the Solar Energy Projects Funded by the EBRD in Egypt
Authors: Ghali Mira , Ibrahiem Dalia M.
Published: September 2023

The world is changing into a village due to the common need to meet the population’s energy demands. Scholars link such transformation with energy’s relevance in meeting economic and social development and improving human welfare. This paper aims to evaluate the social cost savings of solar energy projects funded by the European Bank for Reconstruction and Development (EBRD) in Egypt. The paper provides an overview of the EBRD's involvement in promoting renewable energy in Egypt and its impact on the country's energy mix. The paper analyzes the three solar energy projects funded by the EBRD and their contribution to reducing carbon emissions and promoting sustainable development. Through calculating the avoided carbon dioxide (CO2) emissions and the saved social costs of these projects, the study concludes that the contribution of the EBRD is substantial, which highlights the importance of partnering in renewable energy to achieve sustainable development goals and mitigate climate change.
New Insights into the Emerging Trends Research of Machine and Deep Learning Applications in Energy Storage: A Bibliometric Analysis and Publication Trends
Authors: Ajibade Samuel-Soma , Zaidi Abdelhamid , Al Luhayb Asamh Saleh M. , Adediran Anthonia Oluwatosin , Voumik Liton Chandra , Rabbi Fazle
Published: September 2023

The publication trends and bibliometric analysis of the research landscape on the applications of machine and deep learning in energy storage (MDLES) research were examined in this study based on published documents in the Elsevier Scopus database between 2012 and 2022. The PRISMA technique employed to identify, screen, and filter related publications on MDLES research recovered 969 documents comprising articles, conference papers, and reviews published in English. The results showed that the publications count on the topic increased from 3 to 385 (or a 12,733.3% increase) along with citations between 2012 and 2022. The high publications and citations rate was ascribed to the MDLES research impact, co-authorships/collaborations, as well as the source title/journals’ reputation, multidisciplinary nature, and research funding. The top/most prolific researcher, institution, country, and funding body on MDLES research are; is Yan Xu, Tsinghua University, China, and the National Natural Science Foundation of China, respectively. Keywords occurrence analysis revealed three clusters or hotspots based on machine learning, digital storage, and Energy Storage. Further analysis of the research landscape showed that MDLES research is currently and largely focused on the application of machine/deep learning for predicting, operating, and optimising energy storage as well as the design of energy storage materials for renewable energy technologies such as wind, and PV solar. However, future research will presumably include a focus on advanced energy materials development, operational systems monitoring and control as well as techno-economic analysis to address challenges associated with energy efficiency analysis, costing of renewable energy electricity pricing, trading, and revenue prediction
Unveiling the Implications of Energy Poverty for Educational Attainments in Pakistan: A Multidimensional Analysis
Authors: Sharif Muhammad , Khan Farzana Naheed
Published: September 2023

The United Nations' Sustainable Development Goals (SDGs) recognize energy poverty as a significant issue affecting developing and developed countries. Goal 7 of the Sustainable Development Goals (SDG 7) focuses on energy poverty (EP) and aims to achieve universal access to affordable, reliable, sustainable, and modern energy services by 2030. This study examines the relationship between energy poverty and educational attainments in Pakistan using time series data from 1990 to 2020. A multidimensional energy development index (EDI) is constructed to measure energy poverty. By employing robust econometric techniques such as the Johansen cointegration test, fully modified ordinary least square (FMOLS), canonical cointegration regression, and the generalized method of moments (GMM) estimation, this research uncovers empirical findings that offer valuable insights into the crucial role of energy poverty as a determinant of educational attainments. The findings of this study reveal that improvements in energy development (characterized by a decline in energy poverty) and real GDP per capita, significantly enhance school enrollments in Pakistan. Moreover, it is also observed that general poverty and a high pupil-teacher ratio negatively influence educational attainments. These results emphasize that inadequate access to and affordability of energy act as formidable barriers, impeding the educational journey of children and adolescents. These findings also highlight the urgent need to address energy poverty as a paramount policy concern to enhance development outcomes. Policies aimed at improving energy infrastructure and providing reliable and affordable energy sources are crucial to unlocking educational opportunities for more children and enabling them to embark on their educational journeys.
The Formulation and Physical Evaluation Tests of Ethanol in Telang Flower (Clitoria ternatea L.) Extract Losio Form as Antiox idant
Authors: Jayanti Merly , Ulfa Ade Maria , Yasir Angga Saputra
Published: September 2023

Background. Antioxidants are defined as compounds that are able to delay, slow down, or inhibit oxidation reactions. One of the plants that has the potential as natural antioxidants is the telang flower. The purpose of this study was to determine whether the ethanol extract of telang flower (Clitoria ternatea L.) can be formulated in a losion form that meets the requirements of the physical evaluation test and to determine the ethanol extract of telang flower (Clitoria ternatea L.) has antioxidant activity. Methods. The extraction using maceration techniques with 96% ethanol solvent. The yield obtained from the maceration technique was 29.16%. Phytochemical analysis of telang flowers contains alkaloids, flavonoids, polyphenols, saponins and tannins. Determination of the levels of flavonoids obtained levels of 10.05% and for polyphenols of 15.33%. Results. Telang flower extract (Clitoria ternatea L.) can be formulated into losions and meets the requirements of the physical evaluation test in the extract concentration of 0.1%. The losion of telang flower extract (Clitoria ternatea L.) with a concentration of 0.1% telang flower extract has very strong antioxidant activity because it has an IC50 value <50 ppm, and the IC50 yield of a losion with a concentration of 0.1% telang flower extract (Clitoria ternatea L.) of 37.92 ppm which means that it has very strong antioxidant activity.Conclusion. The formula of the telang flower extract lotion has strong antioxidant activity and has the potential to protect the skin from free radicals.
The Association Between Clinical Characteristics and Histopathology of Nasopharyngeal Carcinoma At Dr. Mohammad Hoesin General Hospital, In 2019-2020
Authors: Fauzan Argo , Susilawati Susilawati , Larasati Veny
Published: September 2023

Introduction. Nasopharyngeal carcinoma is a cancer originating from the nasopharyngeal epithelium. Clinical characteristics such as age, gender, and risk factors are believed to influence the incidence of this cancer. Patients suffering from nasopharyngeal cancer may have certain clinical symptoms and provide certain histopathological features.
Methods. The method used in this research were analytic observational with a cross sectional design using secondary data in the form of medical records from the Department of Anatomical Pathology section and the Central Medical Record section of RSUP Dr. Mohammad Hoesin Palembang as the research subject. Samples obtained 64 samples, then managed using the SPSS application.
Results. The highest age group was 35-55 years old, which amounted to 44 people (68.8%). According to gender, the most common were males with 53 people (82,8%). According to clinical symptom, the most common were non-epistaxis with 33 people (51.6%). According to risk factors, the most were smokers with 36 people (56.3%).  According to histopathology, the most common features were differentiated non-keratinized squamous cell carcinoma with 40 people (62,5%). From the statistical test, it resulted that p > 0,05 for all variables (age, gender, clinical symptoms, and risk factors) that associated with histopathology of nasopharyngeal carcinoma.
Conclusion. There was no significant association found between clinical characteristics and histopathology of nasopharyngeal carcinoma.