Indicators are very important in the assessment to see the success of the sustainable tourism model. There is still little research involving stakeholders for the determination of sustainable tourism assessment indicators. This study tries to produce a more specific grouping of sustainable tourism assessment indicators was carried out. The literature review study was conducted in 31 indexed international journals uploaded online in the 2010-2020 range. The keyword used for sustainable tourism assessment is an indicator of sustainable tourism assessment. The results of the analysis study, indicators used in the assessment of sustainable tourism obtained as many as 75 indicators (22 economic; 24 social; 29 environmental) with 6 levels of stakeholders which have to validation for future research.

Rapid growth makes the industrial sectors contribute as a significant greenhouse gasses producer. According to the Indonesian Ministry of Industry data, the industrial sectors dominate energy consumption with a share of 49.4% of total national energy consumption. These energy needs tend to increase along with economic growth and global population rise. Based on this problem, development of standards related to energy management system is needed for the industrial sector. PT. APAC INTI CORPORA (AIC) is a textile company, located in Bawen, Semarang Indonesia. PT. AIC has implemented ISO 50001 since 2014 as an energy management system to improve the company’s service quality and financial benefit. In this study, Critical Success Factors from the application of ISO 50001 at PT. AIC will be evaluated to assist companies in implementing a more optimal energy management system. A critical success factor is an area in the form of indicators that identify the success of an organization’s performance. Data processing resulted in 8 improvement strategy points based on importance weights (AHP Method) and performance values (Performance Rating) for each subfactor. Through the Delphi method, the improvement strategies is adjusted to the company’s conditions and reduced to 6 strategy points.

No abstract

Electricity demand forecasting is an important part in energy management especially in electricity planning. Indonesia is a large country with a pattern of electricity consumption which continues to increase, therefor need to forecasting electricity demand in order to avoid unbalance demand and supply or deficit energy. LEAP (Long-range Energy Alternative Planning System) as a tool energy model and Indonesia as a case study. Basically, electricity demand is influenced by population, economy and electricity intensity. The purpose of this study is to provide understanding and application of electricity demand forecasting by using LEAP. The base year is 2010 and end year projection is 2025. The scenarios of simulated model consist of two scenarios. They are Business as Usual (BAU) and Government policy scenario. Results of both scenarios indicate that end year electricity demand forecasting in Indonesia increased more than two fold compared to base year.

Traffic accidents are one of the global issues that require serious handling. Accidents occur in different places with different incidents, which makes it difficult to determine which areas have a high degree of traffic accidents. Information about areas prone to accidents is needed by the community and law enforcement. Such information can be taken into consideration for the supervision and anticipation action especially for the police. In this study made a cluster to analyze the areas prone to accidents in the city of Semarang. The method used is cluster analysis where the grouping to determine the vulnerability of an area. The result of the research stated that the level of traffic accident vulnerability is mostly happened in Semarang -Semarang regency passing through Semarang regency. In addition, the level of vulnerability in the city of Semarang occurred on weekdays. From the validation results that have been made, the suitability of the hazardous modeling area that has been formed is: Occurs more likely on weekdays (Monday, Thursday, Friday and Sunday); At an average Kilometer of 19.75-Direction B; During Afternoon and Evening; Small and Large Vehicle Types; Cloudy, Drizzle and Rain.