Herman Mawengkang

The role of information and communication technology in developing smart education

The right to get a proper education for every citizen had been regulated by the government, but not all citizens have the same opportunity. This is due to the other factors in the nations infrastructure, Frontier, Outermost, and Disadvantaged (3T) which have not beenaccomodatedto access information and communication technology (ICT), and the ideal learning environment in order to pursue knowledge. This condition could be achieved by reforming higher education. Such reforms include the provision of educational services in the form of a flexible learner-oriented, and to change the curriculum with market based.These changes would include the provision of lecturers, professors, and professional teaching force. Another important effort is to update the quality of higher education with resource utilization. This paper proposes a new education business model to realize the Smart Education (SE), with an orientation on the proven skills and competitive.SE is the higher education system to optimize output (outcome) learning with combine individual learning and collaboration techniques based network system, informal practice learning and formal theory. UtilizingICT resources can improve the quality and access to higher education in supporting activities of higher education.This paper shows that ICT resources can support virtual connected with the use of shared resources, such as resource of information, learning resources, computing resources, and human resources.

SEM Model Medical Solid Waste Hospital Management In Medan City

In daily activities, hospitals, as one of the important health care unit, generate both medical solid waste and non-medical solid waste. The occurrence of medical solid waste could be from the results of treatment activities, such as, in the treatment room for a hospital inpatient, general clinic, a dental clinic, a mother and child clinic, laboratories and pharmacies. Most of the medical solid waste contains infectious and hazardous materials. Therefore it should be managed properly, otherwise it could be a source of new infectious for the community around the hospital as well as for health workers themselves. Efforts surveillance of various environmental factors need to be applied in accordance with the principles of sanitation focuses on environmental cleanliness. One of the efforts that need to be done in improving the quality of the environment is to undertake waste management activities, because with proper waste management is the most important in order to achieve an optimal degree of human health. Health development in Indonesian aims to achieve a future in which the Indonesian people live in a healthy environment, its people behave clean and healthy, able to reach quality health services, fair and equitable, so as to have optimal health status, health development paradigm anchored to the healthy. The healthy condition of the individual and society can be influenced by the environment. Poor environmental quality is a cause of various health problems. Efforts surveillance of various environmental factors need to be applied in accordance with the principles of sanitation focuses on environmental cleanliness. This paper proposes a model for managing the medical solid waste in hospitals in Medan city, in order to create healthy environment around hospitals.

Optimization Of Feature Weight TheVoting Feature Intervals 5 Algorithm Using Partical Swarm Optimization Algorithm

The use of Partical Swarm Optimization Algorithm in this research is to optimize the feature weights on the Voting Feature Interval 5 algorithm so that we can find the model of using PSO algorithm with VFI 5. Optimization of feature weight on Diabetes or Dyspesia data is considered important because it is very closely related to the livelihood of many people, so if there is any inaccuracy in determining the most dominant feature weight in the data will cause death. Increased accuracy by using PSO Algorithm ie fold 1 from 92.31% to 96.15% increase accuracy of 3.8%, accuracy of fold 2 on Algorithm VFI5 of 92.52% as well as generated on PSO Algorithm means accuracy fixed, then in fold 3 increase accuracy of 85.19% Increased to 96.29% Accuracy increased by 11%. The total accuracy of all three trials increased by 14%. In general the Partical Swarm Optimization algorithm has succeeded in increasing the accuracy to several fold, therefore it can be concluded the PSO algorithm is well used in optimizing the VFI5 Classification Algorithm.

Data envelopment analysis with upper bound on output to measure efficiency performance of departments in Malaikulsaleh University

The higher education system in Indonesia can be considered not only as an important source of developing knowledge in the country, but also could create positive living conditions for the country. Therefore it is not surprising that enrollments in higher education continue to expand. However, the implication of this situation, the Indonesian government is necessarily to support more funds. In the interest of accountability, it is essential to measure the efficiency for this higher institution. Data envelopment analysis (DEA) is a method to evaluate the technical efficiency of production units which have multiple input and output. The higher learning institution considered in this paper is Malikussaleh University located in Lhokseumawe, a city in Aceh province of Indonesia. This paper develops a method to evaluate efficiency for all departments in Malikussaleh University using DEA with bounded output. Accordingly, we present some important differences in efficiency of those departments. Finally we discuss the effort should be done by these departments in order to become efficient.

Analysis Quality Of Environmental Health In Coastal Communities

Health quality of the coastal environment is very critical due to sea water pollution by industrial waste, ports, marine transportation, domestic waste and community activities. Sea water pollution xa0will have an impact on the environment, especially community water resources.Pollutants such as heavy metals pose a threat to public health. This study aims to analyze the quality of the environment and to measure the magnitude of environmental health risks in coastal communities.xa0 This is quantitative research that analyzes the concentration of heavy metals in the coastalxa0 and public health at risk. Sample subject is the community who use bore well and the sample of the object is bore well around Belawan and sea water. Methods used for analyzing the concentration of Pb and Cd xa0is AAS (Atomic Absorbstion Spectrophotometer), environmental health risks is measured by the EHRA (environmental Health Risks Assessment) method. The Results is Pb concentration xa0average in marine isxa0 0.052 xa0mg/l and Cd is 0.004 mg /l. xa0Pb concentration in drinking water with an average 0,002 mg / l and Cd xa0is 0.001 mg / l, xa0the amount of health risks RQ <1. Public complaints found were digestive disorders, skin diseases, headaches, arthritis etc. Environmental management by implementing risk management of health needs to be done in an effort to minimize contamination of Pb and Cd in coastal areas of Belawan.

The Planning of Smart City to Mitigate the Impacts of Natural Disaster in North Sumatera

This article introduces the smart urban planning in the mitigation of natural disasters in urban areas in Indonesia especially North Sumatera. A smart city is a city-based social development, capital, citizen participation, transportation and information technology, natural resources and quality of life. Frequency and socio-economic impacts of natural disasters frequent in recent decades due to climate change and the environment. The approach used in this paper is a combination of Geographic Information System (GIS) and mobile IT in the form of geospatial information. Mobile services sector in which the city government is involved in the formation of smart cities. This article reviews the growth of smart cities and considers how a systems can improve mitigation and adaptation approaches to these risks and to recovery from the natural disasters.