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Contact Name
Daniel Febrian Sengkey
Contact Email
danielsengkey@unsrat.ac.id
Phone
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Journal Mail Official
danielsengkey@unsrat.ac.id
Editorial Address
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Location
Kota manado,
Sulawesi utara
INDONESIA
Journal of Sustainable Engineering: Proceedings Series
ISSN : -     EISSN : 26858762     DOI : -
Journal of Sustainable Engineering: Proceedings Series (JoSEPS) is a journal that contains -- as suggested by its name -- articles that previously presented in conferences, organized by the Faculty of Engineering, Universitas Sam Ratulangi, Manado-INDONESIA.
Arjuna Subject : -
Articles 17 Documents
Search results for , issue "Vol 1 No 2 (2019)" : 17 Documents clear
A Simple Mathematical Model for Flood Control by a Dry Dam Hideo Oshikawa
Journal of Sustainable Engineering: Proceedings Series Vol 1 No 2 (2019)
Publisher : Fakultas Teknik Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/joseps.v1i2.29

Abstract

At the same time that the estimated risk of natural disasters is increasing due to global warming, the capacity to prevent disasters in Japan has been weakened due to infrastructure degradation and population aging. To reduce the damage caused by flooding, flood control dams without a slide gate in a spillway, known as “dry dams,” have been planned and built on some sites in Japan. In this study, a simple mathematical model for flood control by a dry dam is proposed, aiming to encourage the construction of such dams. An implicit integral equation that is based on the continuity equation and simulates flood control by a dry dam is analytically derived. This equation can be easily solved by a spreadsheet program, making the mathematical models widely accessible, particularly to hydraulic engineers and students. The model’s results are compared with laboratory experimental results and the output of a numerical simulation. The results show that the accuracy of the model is quite good, especially in its prediction of the maximum water level of dam reservoirs, meaning that the peak discharge during a flood can be predicted to high accuracy by using this simple mathematical model.
Experimental investigation of the flexural ductility of singly reinforced concrete beam using normal and high strength concrete Atur P.N. Siregar
Journal of Sustainable Engineering: Proceedings Series Vol 1 No 2 (2019)
Publisher : Fakultas Teknik Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/joseps.v1i2.30

Abstract

This paper discusses and reports based on the experimental investigation of the flexural ductility of singly reinforced normal strength and high strength concrete beams. Compressive concrete strength of 40 and 95 MPa were employed to create singly reinforced normal strength and high strength concrete beams, respectively. Fourteen samples made of normal and high strength concrete were engaged to observe the flexural ductility behaviour of beams on the basis of four point bend testing. Analysis on the basis of the flexural cracking, ultimate failure and curvature ductility were carried out to derive the comparison of singly reinforced normal strength and high strength beams. The beams using high strength concrete revealed a higher ductility ratio than that of normal strength concrete, i.e. 4.50 for high strength concrete and 2.60 for normal strength concrete.
Comparison Data Mining Techniques To Prediction Diabetes Mellitus Aswan Supriyadi Sunge
Journal of Sustainable Engineering: Proceedings Series Vol 1 No 2 (2019)
Publisher : Fakultas Teknik Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/joseps.v1i2.31

Abstract

Diabetes 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 millitus
Designing an Internet of Things Based Automatic Clothesline Irvan A. Salihi; Stephan Adriansyah Hulukati; Steven Humena
Journal of Sustainable Engineering: Proceedings Series Vol 1 No 2 (2019)
Publisher : Fakultas Teknik Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/joseps.v1i2.33

Abstract

In Indonesia, there are 2 seasons, rainy season and dry season. The rainy season occurs from November to March, while the dry season occurs from April to October. With the changing seasons that are very unpredictable, so that the weather cannot be regulated by humans so that it requires the latest technology in this case the internet of things, that concern increases when outside the home and at that time there is no one at home. for fear of clothes that are dried wet with rain water as a result also if clothes that have been dried in the sun and will be exposed to rain water do not rule out the clothes we use will cause a bad odor. By using the mcu node esp 8266 dried is controlled by using a smartphone so that it can be controlled with a long distance then add a rain sensor to anticipate sudden rain fall. If a rain sensor is detected by water, the web system of the relay component will be active and give a command to Nodemcu esp8266, after the program runs the relay will be active and the motor can run forward or backward if the relay is on and the Relay is Off then the motor unable to work forward or backward. Fabric weight is measured by a scale so that it can calculate the weight of the wet cloth obtained. The maximum number of fabrics to be used in this automatic clothesline is to keep the motor running and the motor won't be damaged easily.
Comparing Nearshore Wave Parameters in Amurang Bay location using MIKE-21 Spectral Wave Model Tommy Jansen
Journal of Sustainable Engineering: Proceedings Series Vol 1 No 2 (2019)
Publisher : Fakultas Teknik Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/joseps.v1i2.34

Abstract

Wave parameters as an accurate prediction in ocean environment are important thing for good coastal development. Spectral wind wave model as a tools in MIKE 21 SW based on unstructured mesh is used in this study which the model simulates the growth, decay and transformation of wind generated waves and swell in offshore and coastal areas. The Amurang Bay as the province of North Sulawesi Indonesia was selected as the study area which 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 Manado. Time simulations are taken from 25 November to 23 December 2016 as a wet season and 25 Mei to 23 June 2016 as a dry season.The model computed the wave parameters using the forecast wind input. The synoptic map of significant wave height (Hs), wave period, wave direction are obtained from the result of simulation. During the dry and wet season conditions the predicted wave parameters as the result of the simulation with tide and wind show to be higher than with tide and no wind simulation. The average condition of significant wave height is higher in outside of bay than inside of bay.
Flood disaster mitigation concept of settlements in Sario watershed area Windy J. Mononimbar
Journal of Sustainable Engineering: Proceedings Series Vol 1 No 2 (2019)
Publisher : Fakultas Teknik Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/joseps.v1i2.35

Abstract

There are five large rivers which pass through and empties into Manado City, one of them is the Sario River. In 2014, the settlements around the Sario watershed area was severely damaged due to flash floods, in fact, there was one neighborhood in Kelurahan Ranotana Weru where almost all houses were washed away and were lost due to the flood. In addition, there are also fatalities and other material losses. Flood disasters in the Sario watershed area occur periodically every year, but the most severe damage was in 2014, it was even designated as a national disaster because it struck almost the entire city of Manado. Therefore, a study was conducted to obtain the concept of flood disaster mitigation at this location which is expected to prevent disaster, reduce risk and minimize the impact that will occur. This concept is divided into structural and non-structural mitigation. Structural mitigation includes efforts to minimize disasters through the construction of various physical infrastructure and technological approaches, such as the construction of disasters-resistant buildings, the construction of canals for flood prevention, evacuation routes, green open spaces, etc. Non-structural mitigation includes making policies or rules such as spatial planning or community capacity building. This research found that the boundary area of ​​the river needs to be rearranged, the river embankment and drainage channel are repaired, the high density of the building needs to be reduced to provide sufficient open spaces, the need to build disaster evacuation routes and improved building conditions.
Study of Smart Antenna Wide Band Multi Beam by Algorithm Switch Beam Yuliarman Saragih; Ibrahim; Agatha Elisabet
Journal of Sustainable Engineering: Proceedings Series Vol 1 No 2 (2019)
Publisher : Fakultas Teknik Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/joseps.v1i2.37

Abstract

The use of wideband antennas in radio frequency (RF) systems are intended to improve the efficiency of the system economically. So that problems arise due to differences in RF system frequency allocation in each country can be overcome. Other than that, the need for an antenna that can optimize the direction of the beam becomes one which became a consideration, for that to develop a smart antenna that is capable of producing the different beam. In various studies, wideband antennas have been built only able to work on a single beam. Meanwhile, the antenna has also been proven to be working in multi-beam but still works on a single frequency. The researcher intends to develop an antenna that can work as a smart antenna that applies multi-beam with switching algorithms by having a wide working frequency (wideband). Multi-beam with wideband can be produced by combining wideband antenna array with a Butler matrix that applies the switching beam algorithm with phase array technique so that it can be a smart antenna because the antenna can be adjusted of the beam as desired.

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