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Contact Name
Irza Sukmana
Contact Email
irza.sukmana@eng.unila.ac.id
Phone
+62721234234
Journal Mail Official
jesr@eng.unila.ac.id
Editorial Address
Faculty of Engineering, Universitas Lampung. Jl. Soemantri Brojonegoro No.1 Bandar Lampung – Indonesia. http://eng.unila.ac.id
Location
Kota bandar lampung,
Lampung
INDONESIA
Journal of Engineering and Scientific Research (JESR)
Published by Universitas Lampung
ISSN : 26850338     EISSN : 26851695     DOI : https://doi.org/10.23960/jesr.v4i1.78
The focus and scopes of JESR is on but not limited to Mechanical Engineering and Material Sciences, Chemical and Environmental, Industrial and Manufacturing Engineering, Computer and Information Technology, Electrical and Telecommunication, Civil and Geodetic Engineering, Architecture and Urban Planning, Geophysical Science and Engineering, and other multidisciplinary research. The main criteria for publication are including the originality, scientific quality and interest to the aim and focus. JESR publishes twice a year for June and December editions. We welcome for publication collaborations with organizer of International Seminars, Conferences and Symposiums around the world. We are encouraging authors to submit their manuscript through our online system.
Articles 130 Documents
Smart Home Controlling and Monitoring System using Multiboard Client-Server Internet of Things (IoT) T P Zuhelmi; S R Sulistiyanti; F X A Setyawan; A R Adnan
Journal of Engineering and Scientific Research Vol. 1 No. 2 (2019)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (379.921 KB) | DOI: 10.23960/jesr.v1i2.19

Abstract

An increasing number of crimes in society make people want to take advantage of technological developments to improve their safety and comfort. This paper research the possibilities to make house secure and comfort by using internet of things (IoT) to control and monitor also well known as smart house. This paper using NodeMCU ESP-12E for the IoT controller and smartphone for user to control and monitor house environment. The results shows that the system designs for smart home are promising. The sensors response time for average response time is 2.52 seconds for solenoid door lock, the average responses time for motion detection testing is 2.30 seconds, the average response time for first lamp is 3.71 seconds and 4.37 seconds for second lamp, the average response time is 1.74 seconds for LPG gas leakage, the average response time is 2.59 seconds for front terrace and 2.17 seconds for back terrace.
Designing Model for Truck Assignment Problem in Beef Delivery Using DBSCAN Algorithm Paduloh Paduloh; T Djatna; Muslich Muslich; Sukardi Sukardi
Journal of Engineering and Scientific Research Vol. 1 No. 2 (2019)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (260.022 KB) | DOI: 10.23960/jesr.v1i2.26

Abstract

In beef route delivery, many logistics companies have problems in making delivery plans correctly. Most logistics companies have a limited number of trucks, but there are shipping schedules, locations and volumes of demand is not fixed, in addition to returning products with various reasons that must be collected. Therefore the purpose of this study is to assign trucks to fulfill all beef delivery activities at a minimum cost. One reason for research on truck assignments in beef delivery is the high cost of shipping because it uses cold chains. This study uses the DBSCAN method to obtain density values based on customer distance to the central warehouse and the number of delivery requests, the data used in this study is the data of product delivery to customers for 6 months. Clustering research results using DBSCAN show the maximum values for epsilon 0.7 and Minpoints 2 are 3 clusters with 6 noises. with these results divided of trucks based on clusters is 2 trucks for the area of Banten, 7 trucks forthe area of Jakarta, Bogor, and Bekasi, 2 trucks for Malang, and Surabaya, and 1 truck for the Bali area and noise or non-permanent delivery.
Base Flow Index of Way Seputih River at Buyut Udik A Yusuf; D I Kusumastuti; E P Wahono
Journal of Engineering and Scientific Research Vol. 1 No. 2 (2019)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (690.266 KB) | DOI: 10.23960/jesr.v1i2.27

Abstract

One of river flow components considered in watershed management is baseflow, the main contributor to the river flow during dry season. Ratio between baseflow to total flow is called Base Flow Index (BFI). In fact, BFI can be used as an indicator how good the catchment hydrology is. The purpose of this study is to analyze BFI of Way Seputih river at Buyut Udik Hydrometry Station. The method includes Recursive Digital Filter (RDF) method, which utilizes constant recession of hydrographs in displaying the ratio of baseflow from continuous discharge during periods when there is no direct runoff. Daily discharge data from Way Seputih river at Buyut Udik recorded from 1973 to 2006 is used. The result shows that yearly BFI values range from 0.142 to 0.487 and there is a decrease trend of yearly BFI over time. This result is confirmed by yearly average discharges which tend to decrease over time. These are affected by land cover degradation in Way Seputih catchment and this should be a concern for authorities to improve land and water conservation in Way Seputih catchment so that river flow could be maintained throughout the year
Social Capital, Entrepreneurship and Rural Development G Prayitno; D S Noor; A R T Hidayat
Journal of Engineering and Scientific Research Vol. 1 No. 2 (2019)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (205.15 KB) | DOI: 10.23960/jesr.v1i2.29

Abstract

Arjowilangun Village is one of the most significant areas of origination in the Malang Regency for Indonesian migrant workers aiming to work overseas. The remittance sent by Indonesian migrant workers can be utilised to support the Designative program, by establishing and developing entrepreneurship. The growth and development of entrepreneurship can be formed from theparticipation of the village community. Community participation in developing independent entrepreneurship can in turn boost village development. In line with Indonesian culture, rural communities still put forward kinship, trust, mutual cooperation, networking and high social norms (social capital component). This research aims to identify the social capital of retiredIndonesian migrant workers and their decision to start business entrepreneurship. The results of the Social Network Analysis (SNA) as identified through three approaches: rate of participation, density and centrality showed that 14 respondents had the potential to be key figures in spreading information to increase community participation in village development. While the results of the correlation analysis indicate that the decision to start a business were influenced by the high value of their social capital, higher social capital can encourage the community to become entrepreneurs, enabling them to have a positive influence on village development.
Mathematical Model of Improved Reverse Charging of Wireless Internet Pricing Scheme in Servicing Multiple QoS F M Puspita; D R Nur; A L Tanjung; J Silaen; W Herlina; Yunita Yunita
Journal of Engineering and Scientific Research Vol. 1 No. 2 (2019)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (321.821 KB) | DOI: 10.23960/jesr.v1i2.30

Abstract

This paper seeks to utilize the improved model of reverse charging scheme. Reverse charging basically is defined as a capability of stored network that replaces the network used when the network is suddenly shut down. In this paper, charging back on 3G and 4G network that is user automated platform, will change the access of 4G to 3G and on the contrary when platform conduct thehosting. This research was solved as a problem Mixed Integer Nonlinear Programming (MINLP) by LINGO 13.0. An optimal pricing scheme is applied to a local data server, including digilib traffic and mail traffic. The improved model of Reverse Charging is modified into 4 cases and formed by setting the base price (?) and service level (?). Based on the analysis that has been done, the results of this study indicate that the reverse charging model can be utilized Internet Service Provider (ISP) to maximize profits and provide quality services for the user if compared to previous model without reverse charging scheme
Fractal Hilbert Sensor to Detect Partial Discharge on Transformer H H Sinaga; H B H Sitorus; D Permata; N Soedjarwanto
Journal of Engineering and Scientific Research Vol. 1 No. 2 (2019)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.042 KB) | DOI: 10.23960/jesr.v1i2.31

Abstract

The design of fractal Hilbert sensor is presented in this paper. The sensor is intended to detect partial discharge (PD) in transformer insulation. The fractal Hilbert sensor designed using 4 order fractal and etching on single layer PCB board. The Hilbert fractal type is chosen as this type of sensor can be built on smaller area compare to other types. The sensor overall dimension is limited to 5x5 cm as it is proposed to be use to detect the PD presence in transformer. The sensor sensitivity is tested using a closed type TEM cell. After the sensitivity of the sensor is tested the sensor then applied to detect the PD signals emitted by void PD defect model. The results show the sensor has sensitivity as high as 10 dB. The sensor also has capability to detect the PD signals generated by the PD defect source. The waveforms captured by the sensor show the sensors can capture high frequency pulse generated by the PD source
Optimization of Microgrid Battery Capacity using PSO with Considering Islanding Operation Ayu Sintianingrum; Khairudin Khairudin; Lukmanul Hakim
Journal of Engineering and Scientific Research Vol. 2 No. 1 (2020)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (988.904 KB) | DOI: 10.23960/jesr.v2i1.34

Abstract

Electrical is used for various activities in all sectors. Rapid increase of electricity demand recently, makes it necessary to have an even more efficient method for generating electricity. Renewable energy and the microgrid provides an integrated and alternative solution for electricity generation. In microgrid systems, energy storage devices are one of important aspects. Batteries are one kind of the energy storage technologies widely used in power system and hence, their suitable capacity must be determined in order to develop an effective system installation. In this research, sizing optimization of battery capacity is modeled as a minimization of microgrid battery capacity using the Particle Swarm Optimization/PSO algorithm with considering islanding operation of the system for effective battery installation. Results show that optimal battery capacity can be obtained and the developed computational model gives satisfactory results for the system under study.   Keywords: Battery, microgrid, energy storage system, PSO algorithm
A cans waste classification system based on RGB images using different distances of k-means clustering Yulia Resti; F Nasution; I Yani; A. S. Mohruni; F. A. Alhamdini
Journal of Engineering and Scientific Research Vol. 2 No. 1 (2020)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1250.91 KB) | DOI: 10.23960/jesr.v2i1.35

Abstract

This study aims to build a classify the cans waste based on the pixel of captured Red, Green, and Blue (RGB) image by implement different metric 3 distances of k-means clustering; Manhattan, Euclidean, and Minkowski metric distance. The image capturing is designed using combinations of two the conveyor belt speeds of 0.181 m/sec and 0.086 m/sec, two the lightings of halogen and incandescent lamps, and four lighting angles of 300, 450, 600, and 900. The classification results note that the implementation of Manhattan distance on the k-means clustering method for classifying the cans waste into three can types has the highest level of accuracy in the majority of data. The highest accuracy level of classification is obtained from data of captured image on the conveyor belt speeds of 0.181 m/sec, the lightings of halogen lamp, and the lighting angles of 450 by implementing the Euclidean distance, while the lowest accuracy level of classification is obtained from data of captured image on the lighting angles of 300 with the same speeds and the lamp by implementing the Manhattan distance. The highest average accuracy is obtained by implementing the Euclidean distance, that derived from the average accuracy at lighting angle of 450.
Analysis of AVO and Seismic Inversion for Reservoir Characterization (Case Study: EP Field, South Sumatera Basin) H Budiman; M. Y. N. Khakim; A. K. Afandi
Journal of Engineering and Scientific Research Vol. 2 No. 1 (2020)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1981.548 KB) | DOI: 10.23960/jesr.v2i1.36

Abstract

A research about reservoir characterization with analysis of AVO (Amplitude Variation with Offset) and seismic inversion, to extract the petrophysics properties on the EP field South Sumatra Basin. This research was conducted to identify rock lithology and its spread, to see the sensitive parameters of physical properties of rocks. This research uses the 3D seismic data PSTM (Pre Stack Time Migration) as input control with data from the EP-036 well containing sonic log, density, gamma rays, neutron and resistivity log.  From the results of data analysis on the well log chart EP-036, reservoir target zones are at a depth of 714 to 722 m (TVD) or time domain 768 to 780 ms.  The results of the analysis AVO is able to detect the presence of reservoir gas sand, based on the classification of Rutherford and Williams (1989) the gas sand layer into AVO class III that indicates low impedance contrast sands. To analyze the results of well log data in the cross plot EP-036 indicates lithology is a hydrocarbon. It is also reinforced with cross plot analysis and seismic inversion results in the form of the parameter value ??, Vp/Vs and Acoustic impedance with low porosity averaging 22 to 35%, indicating that the zone is a zone reservoir potential gas sand.   Keywords: Inversion, AVO, LMR, Reservoir Characterization.
Comparison of Types and Size of Biomass on Pirolysis Combustion Toward The Results of Bio-Charcoal and Liquid Smoke Kemas Ridhuan; Dwi Irawan; Rahmady Setiawan
Journal of Engineering and Scientific Research Vol. 2 No. 1 (2020)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1112.53 KB) | DOI: 10.23960/jesr.v2i1.37

Abstract

Biomass is a renewable carbon source and can be processed into gas fuels, liquid and solid fuels. Biomass has several types with different grain sizes. Biomass can be converted to other forms of energy by combustion pyrolysis. Pyrolysis is the chemical decomposition of organic matter through a heating process at high temperatures with little or no oxygen. The results of the pyrolysis process in the form of bio-charcoal and liquid smoke. The purpose of this research was to determine the comparison of types and sizes of biomass in pyrolysis combustion with characteristics of bio-charcoal and liquid smoke. This research method uses rubber shell biomass waste, green coconut husk and rice husk. Biomass is burned by slow pyrolysis in the reactor with biomass fuel. Combustion in reactors and pitot tubes containing biomass. Measured temperature, time, amount of biomass, bio-charcoal and liquid smoke and the heating value of bio-charcoal. The research results obtained the heating value of rubber shell bio-charcoal at 6661.55 cal / gr, bio-charcoal yield of 2.3 kg, liquid smoke yield of 0.242 kg, green coconut husk biomass heating value amounted to 5388.56 cal/gr, the yield of 1.8 kg of bio-charcoal, the result of liquid smoke of 0.308 kg. and rice husk biomass obtained the heating value of 3626.48 cal/gr with a bio-charcoal yield of 1.3 kg resulting from liquid smoke of 0.284 kg. Keywords: Combustion, Pyrolysis, Liquid Smoke, Charcoal, Biomass

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