Journal of Sustainable Engineering: Proceedings Series (JoSEPS)
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Mapping of Waste Bank Management Area in Manado City
Get PDFThe problem of waste is very worrying because it has a direct impact on humans, especially the inclusion of plastic elements in the human body through fish and food exposed to microplastic. One way to overcome the problem of waste is to reduce waste from its source by sorting methods from the source and managed further through the process of recycling or upcycling into new products. Reducing waste from its source by sorting and then saving it in a Waste Bank is one promising breakthrough and can encourage people to actively participate in environmental management. The purpose of this study was to obtain a mapping model of the waste management service area in the city of Manado as needed. The research data was obtained through research on smash applications for waste banks supporting field research through observation and interviews. Data was analyzed by mapping the position of waste banks in the city of Manado. Furthermore, comparing the three garbage banks in Manado city to find a pattern of waste bank management with various indicators. The results of the study indicate that the current mapping of the position of waste banks in Manado consists of the center, the suburbs and outside the city. Furthermore, the results of the comparison of the three garbage banks conclude that the most effective waste bank is a waste bank in a residential area. An effective waste bank is one of the strategies for implementing 3R (Reuse, Reduce, Recycle) in waste management at its source at the community level. The implementation of the waste bank in principle is a social engineering to invite the public to sort out waste for environmental sustainability and public welfare
Identifying Students' Pre-Classroom Behaviors in a Flipped Learning Environment
No full textAdvancements in Information Technology have lead the world to new ways of life including in the education field. Nowadays we have various types of computer and Internet-assisted learning. With the booming of blended learning, here comes the flipped classroom environment, where students are expected to learn even before the conventional class meetings started. In this study, we address the question of how students behave toward various learning materials packaged in 3 types of media: text and images, slide shows with audio narration, and slide shows with the appearance of the lecturer. Based on our samples the findings are surprising: some students never made access before the class; and on the other hand, the text-and-image-based learning materials have the highest number of pre-classroom access
Design of Eco-Drainage System for Real Estate in Indonesia
Get PDFLand use change occurs in many cities in Indonesia. Population growth causes the expansion of residential area. Without proper planning and design, the development of residential area can increase the runoff volume. The objective of this study is to provide an eco-drainage system design for real estate in Indonesia to minimize the possible increased runoff.The study area in this paper is a bare area of 14,602.26 m2 in Mojokerto Regency, East Java, Indonesia which is planned to be developed into real estate. The design of eco-drainage system consists of installation of 4400 litre of rainwater storage tank and a 1200 m3 of retention pond. The analysis includes the estimation of peak discharge of the selected area using the Rational formula and estimation of evapotranspiration in the retention pond using Thornthwaite method. The result of the analysis shows that 50.2 m2 of roof surface can capture rainwater varies from 0.04 – 18.4 m3/month. The water is used to fulfil the household water needs in the real estate such as for sanitation & waste disposal, gardening, personal washing, cleaning home, and washing clothes along the year except in August and September. While overflow of the tank occurs in January, February, and March. The excess rainfall, which is not captured, flows to the retention pond. It is used for watering public garden using a sprinkling water system. The combination of chosen dimension of storage tank and retention pond can reduce the runoff volume minimum by 48.19% in February in the study area.The proposed design still cannot accommodate all excess rainfall due to the transformation of a bare land into real estate. Therefore, it is recommended to consider another utilization of water in the retention pond
Design of Hybrid Energy Control System for Powering Small Scale Green House
Get PDFThe world energy crisis from non-renewable fossil energy sources greatly impacts the electricity sector. Meanwhile energy is needed to ensure food security is estimated at 38 percent of the energy consumed in the food system. Agrifood systems require renewable energy, access to modern energy services in rural areas, technology related to climate-smart agriculture. Hybrid technology makes it possible, we combine several new and renewable energy sources to save electricity more effectively and efficiently. Able to manage the shifting period of any renewable energy source in hybrid energy by the control system. In this case, each of these new renewable energies can be arranged based on their respective existence. With the existence of a power plant with renewable energy in the form of hybrid energy, it can also facilitate farmers in terms of electricity sources because in the most recent agriculture there is no electricity installed. With this method farmers can process the natural products they have easily, and are cost-effective
Acceleration Response Spectra for M 7.4 Donggala Earthquake and Comparison with Design Spectra
Get PDFA 7.4 magnitude earthquake have strucked Donggala on September 28th 2018, followed by tsunami and liquefaction which hit Palu, Central Sulawesi, a few minutes later. This event had resulted in damage to buildings, and caused more than 2,000 people were killed and injured. Indonesia already have a building code in form of SNI 1726:2002 which had been updated to SNI 1726:2012. This paper analyses the hazard level caused by the 2018 Donggala earthquake compared to the existing design spectra, as mentioned in SNI 1726:2002 and SNI 1726:2012. A simple analysis was carried out by comparing Donggala earthquake’s acceleration response spectra with the existing design spectra, at the MPSI accelerograph station. The site class at MPSI station is hard soil (SC). The seismic hazard in Palu and Donggala refers to SNI 1726:2002 is included in the earthquake area 4. The maximum earthquake response factor for earthquake area 4 is about 0.6 for hard soil type (SC). The MPSI station recorded peak ground acceleration of Donggala earthquake around 0.14 g. The acceleration response spectra recorded at the MPSI station showed a peak value of around 0.71 g for the N component. This value is actually still below the design spectra referring to SNI 1726:2012, which the peak value is 0.88 g for SC, but, it exceeded the design spectra of SNI 1726:2002
Review of Tide and Wind Affect to Currents Pattern in Amurang Bay, North Sulawesi, Indonesia
Get PDFWinds, tides and river discharges largely drive coastal currents. The strength of tidal currents, river runoff, meteorological conditions, shoreline configuration, water depth and topography are the factors that affect coastal water circulation. Generally currents are the flowing of water mass caused by wind, difference of density or tide moving. The existence of currents direction to nearshore of Amurang Bay was studied with using computer model tools as the hydrodynamic model by determine currents speed and its direction.The study took place in Amurang Bay as the province of North Sulawesi Indonesia with the geography position around 1012’16.16” N-124027’04.33” E to 1015’43.80” N-124032’01.06”E. The bathymetry and tide data used in this research from Indonesian Coastline Environmental map of year 1995 with scale 1:50.000 from BIG (Badan Informasi Geospasial) with a satellite data from Google earth of year 2018 and LANTAMAL Manado, the wind and current data was obtained from BMKG Bitung. Time simulations are taken from 25 November to 23 December 2016 as a wet season and 25 Mei to 23 Juni 2016 as a dry season. As analytical tools, MIKE3 hydrodynamic mode are used. The currents pattern play an important role in sediment transport process, so the study of the currents pattern become to be important as well. The result of this study indicate that in the wet season the combination of tide wind in surface and bottom layer of sea the currents direction close to nearshore dominant to East with current speed average 0.18 m/s, in dry season the combination of tide wind in surface layer of sea the currents direction close to nearshore dominant to South-East with current speed 0.12-0.24 m/s, in bottom layer the currents direction dominant to South-East with current speed average 0.2 m/s. Some of interesting point in research’s area show that current by tide make the current direction seaward and landward, but tide combination wind change the direction of current. It can be said that the tide influenced to current make the currents direction seaward and landward follow the pattern of tide, but combination tide and wind change its direction
COBIT 5 Monitoring and Evaluation on the Electronic Procurement Services in Gorontalo Province
Get PDFIn accordance with Gorontalo Provincial Government Regulation No. 3 of 2016 concerning the Implementation of Information and Communication Technology-Based Deliberations, the Local Government (the provincial, municipality and regency government) is obliged to manage data in information system applications for internal and external interests by paying attention to the security of the application of communication and informatics, Gorontalo’s LPSE serves to ensure that IT organizations use resources efficiently, secure organizational assets, maintain organizational data integrity and security, and achieve organizational goals effectively. This corresponds to the Province ’s vision of e-Government. One of Gorontalo’s e-Government infrastructures is the e-procurement service. To find out whether the LPSE service is effective, evaluation is needed. This paper presents an evaluation of Electronic Procurement Services using COBIT 5 (Target Control for Information and Technology related version 5). By analyzing awareness management on the strategic plan for Electronic Procurement Services (LPSE) that need to be evaluated. Namely in the process (ME1) in terms of information technology performance, after conducting an Awareness Management analysis then measure the level of management ability by using the Maturity model to get maturity values for performance domain information technology (ME1) with a maturity value of 2,56. internal control (ME2) with a maturity value of 1,80. In accordance with external requirements (ME3) with a maturity value of 2,44. and information technology governance (ME4) with maturity values 2,99
Ship-to-Shore Wireless Communication for Asynchronous Data Delivery to the Remote Islands
Get PDFNowadays, many people who live in remote islands of Indonesia are still facing difficulties in terms of access to information. In the locations where end-to-end communication is not available, the asynchronous approach can be utilized to send information in the form of digital data. In some areas, we could utilize passenger ships or ferries as physical carriers to deliver digital data to the people in the remote islands which are located at a particular range of distance from the ship’s passing routes. This paper reports the channel performance of long-range WiFi connection oversea at 5 GHz using the real ship’s route at the North Sulawesi province‘s water in Indonesia as a sample scenario. The measurement results showed that the most stable ship-to-shore communication can be achieved in ±15 minutes at the maximum distance between the ship and shore of about 4 km. The maximum channel capacity was 120 Mbps for upload (from ship to shore) and 53 Mbps for download (from shore to ship), which is enough to deliver gigabytes of information to the people at the islands every time the ship passes by
Implementing Support Vector Machine Sentiment Analysis to Students' Opinion toward Lecturer in an Indonesian Public University
Get PDFStudent feedback is an important evaluation tool for quality improvement. Moreover, in Indonesian higher education system there is an assessment regulation that puts special attention to the availability of the student feedback system. However, parts of the questionnaire are in the form of descriptive text that requires more effort for analysis. This situation leads to a very tiresome work in case of the number of documents reaches several hundred or even thousands. There were some efforts to apply computer-assisted classification by utilizing machine learning, however, most of them only analyzed English documents. Only a handful that studied the classification of documents in Bahasa Indonesia. In reality, we found some cases where the students used mixed languages while filling the evaluation forms. Therefore, in this study, we expand the application of text classification by using Support Vector Machne (SVM) to cases of student feedback in mixed languages. The model was built computationally and from the test, we get 74% accuracy and 0.46 Kappa value
Comparison Data Mining Techniques To Prediction Diabetes Mellitus
Get PDFDiabetes is one of the chronic diseases caused by excess sugar in the blood. Various methods of automated algorithms in various to anticipate and diagnose diabetes. One approach to data mining method can help diagnose the patient's disease. In the presence of predictions can save human life and begin prevention before the disease attacks the patient. Choosing a legitimate classification clearly expands the truth and accuracy of the system as levels continue to increase. Most diabetics know little about the risk factors they face before the diagnosis. This method uses developing five predictive models using 9 input variables and one output variable from the dataset information. The purpose of this study was to compare performance analysis of Naive Bayes, Decision Tree, SVM, K-NN and ANN models to predict diabetes millitu