bluuebunny/crossref_metadata_2025 huggingface dataset:
Extraction and analysis of construction safety hazard factors from open data
Authors: Rupasinghe N K A H , Panuwatwanich K
Published: May 2020

Construction is one of the most injury prone industries worldwide. Concerns of health and safety of the employees in construction sites have been a vastly discussed topic for decades. In many countries, companies are required to report safety incidents by using catastrophe investigating report in their workplaces to relevant authorities whereby such data is made publicly available under the open data policy. These open datasets may be well structured or may require further preparation in order to be usable. Some datasets are in the form of reports, which require qualitative, textual analysis to extract insightful information. The purpose of this study is to extract safety hazard factors from an open dataset obtained from the US Occupational Health and Safety Administration, and to further analyse such factors using statistical analysis techniques. For each reported case, text analysis was carried out with the narrative data field describing the circumstances leading to safety incidents to extract safety hazard factors. These hazard factors were categorized into human factors, technical factors, external environmental factors, organizational factors and other factors. The results showed that hazards related to human factors are most common. Descriptive statistics also showed that the most frequent nature of accident was fractures and most frequently occurring accident event was falls to the lower levels. Such information can help to provide insights into the accidents occurred and how relevant authorities may devise strategies to improve construction site safety.
Observation of temporary accommodation for construction workers according to the code of practice for temporary construction site workers amenities and accommodation (MS2593:2015) in Johor, Malaysia
Authors: Yaman Siti Khalijah , Khamis Norasyikin , Mohammad Hairuddin , Suratkon Azeanita , Syed Mohamad Syed Burhanuddin Hilmi , Bakar Hasniza Abu
Published: May 2020

The Malaysian government is currently improving the quality of workers temporary accommodation by introducing MS2593:2015 (Code of Practice for Temporary Site Workers Amenities and Accommodation) in 2015. It is in line with the initiative in the Construction Industry Transformation Programme (2016-2020) to increase the quality and well-being of construction workers in Malaysia. Thus, to gauge the current practice of temporary accommodation on complying with the particular guideline, this paper has put forth the observation of such accommodation towards elements in Section 3 within MS2593:2015. A total of seventeen (17) temporary accommodation provided by Grade 6 and Grade 7 contractors in Johor were selected and assessed. The results disclosed that most of the temporary accommodation was not complying with the guideline, where only thirteen (13) out of fifty-eight (58) elements have recorded full compliance (100%), and the lowest compliance percentage (5.9%) are discovered in the Section 3.12 (Signage). In a nutshell, given the significant gap of compliance between current practices of temporary accommodation and MS2593:2015, a holistic initiative need to be in place for the guideline to be worthwhile.
The impact of green behavior capability on green construction performance in Indonesia
Authors: Ariff R , Yahya K , Sharif S
Published: May 2020

This paper presents an investigation of the impact of green behavior capabilities which include the external and internal factors on green construction performance. The study was conducted on construction companies, specifically those operating in Jakarta, Indonesia. A survey was developed consisting of 144 questionnaires to be distributed to the construction stakeholders. The data obtained was analysed using simple regression and stepwise approach to measure the effect of green behavior capability on the green construction performance, taking into consideration the environmental orientation optimization as a moderate variable. The most important findings of the study indicate that the green behavior capability has an impact on the green construction performance as well as impact towards the environmental orientation optimization between green behavior capability and green construction performance. This study also confirms that the practices of green behavior capability and environmental orientation optimization have significant benefits at the level of the authority policy which may contribute to significant savings at the level of the construction industries.
A situational study on sustainable housing features in Johor
Authors: Kamaruddin T , Adul Hamid R , Rohaizam N A S
Published: May 2020

Sustainable housing brings an innovation in Malaysia housing industry scene. The trend has witnessed a surge in the demand for this offering by house buyers which in return has encouraged housing developers to incorporate it’s features in their products. The features offered by the housing developers varies while customers are encouraged by the noble causes that their purchased will make. As demand for the products increase, errant and irresponsible developers are unreasonably taking the advantage by charging exorbitantly for the product that they market. In this instance, the words “Eco” and “Green” have been used as the gimmick for marketing purposes while there are no evidences that show whether the features have been truly incorporated in the housing products sold to the customers. The situation thus called for a situational study to be carried out, which aim to clarify the situation happening in the housing industry. Accordingly, the objectives of the study are: (1) To identify the sustainable housing features provided by developers to the buyers; and (2) To identify the house occupant’s satisfaction with the sustainable features available to them. The research is an exploratory research which seeks to provide data in respond to the situation facing the industry. Therefore, both quantitative and qualitative research strategies will be employed by way of a checklist together with a satisfaction survey focusing on housing projects in Johor. Data for the study will be analyzed by employing descriptive analysis as well as thematic coding analysis. A comprehensive discussion will be offered as the possible outcome of the study. This includes the contentment of house buyers towards the sustainable features that are offered by housing developer and how it can be classified as sustainable housing in virtue of the three pillars of sustainable development.
Critical green road criteria for Malaysia green rural road index
Authors: Abd Rashid M H S , Zakaria R , Aminudin E , Adzar J A , Shamsuddin S M , Munikanan V , Alias N E , Sooria S Z , Saha K M
Published: May 2020

Malaysia is on its path in adapting the green roadway system. The introduction of green road rating tools such as Malaysia Green Highway Index (MyGHI) for highways and Penarafan Hijau (pHJKR Jalan) for non-toll roads which the value of the projects are more than RM50 million are parts of the green initiatives taken towards the sustainable development in Malaysia. However, there is no specific green road rating tool focusing on rural roads in Malaysia. The rural road falls under the state road category, which contributes the largest proportion of the road network in Malaysia. The absence of specific green road rating tools for the assessment of the largest network of the road in Malaysia is seen as the gap that needs to be filled with a systematic approach. With that, this paper highlight the methodology of the study to develop a specific green road rating tool that suits the nature of rural road in Malaysia which is called Malaysia Green Rural Road Index (MyGreen RRI). It also aims to highlight a thorough comparative review of the established criteria of the existing international and local green road rating tools by using cross-national comparison. This comparative review leads to a set of proposed criteria to be used in MyGreen RRI. The analysis is later will be extended for the development of score and to be used for the assessment of MyGreen RRI. The establishment of MyGreen RRI as the later final output of is expected to benefit the nation in the environment, social and economic perspectives.
Mapping of construction waste for eco-costs per value ratio (EVR) index using Google My Maps in Shah Alam, Malaysia
Authors: Arumugam Sharan Kumar , Muhamad Rahimah , Yahya Khairulzan
Published: May 2020

Construction waste is one of the major challenges faced in our world today. The residential, commercial and infrastructure industries in Malaysia are recognised as rapidly growing sectors that indirectly bring economic growth to our country. However, the generation of waste in the construction industry is increasing in proportion to the development of new construction. This increase has resulted in negative environmental impacts. To address these issues, the present study focused on the mapping of construction waste generation in low-rise residential construction sites in Shah Alam district, Selangor, using the Google My Maps application. Information on construction waste generation data such as coordinates, photos, types of materials, types of waste, quantity of waste, gross floor area, labour cost, material life-spans and eco-costing per value ratio (EVR) index for monitoring was gathered manually through case studies and site observations over 14 months—the contract period. The collected data was inserted into Google My Maps and AppSheet for the mapping process. The findings of this analysis were based on five selected sample sites in Shah Alam that were under construction from 2013 to 2017. The results identified a total of nine types of construction waste, i.e. rebar and BRC, concrete grade 25, timber formwork, bricks, plaster cement, tiles, drywall, metal deck roofing and ceiling. These types of waste accounted for varying values of the EVR index in the construction projects during the contract period. The system proposed by this study will help to monitor the total construction waste generated from the start of a project and will potentially result in the reduction of construction waste, thereby contributing to sustainable construction.
Properties of oil palm shell lightweight aggregate concrete containing fly ash as partial cement replacement
Authors: Muthusamy Khairunisa , Jaafar Mohamad Safwan , Azhar Nili Wahida , Zamri Nurazzimah , Samsuddin Nadiah , Albshir Budiea Ahmed Mokhtar , Mohd Jaafar Mohd Faizal
Published: May 2020

In Malaysia, the growing palm oil business and increasing energy consumption that pushes more coals supply for power generation at power plants generates by-products. A large amount of oil palm shell from palm oil mills and fly ash from coal power plant still disposed as waste. At the same time, the expanding cement and granite industry to cater the construction industry need also causes environmental degradation that requires solution. Thus, incorporation of the industrial solid wastes as alternative mixing ingredient in production of zero granite concrete production is seen as one of the viable approach to reduce waste thrown at landfill. The present research investigates the mechanical performance of palm oil waste lightweight aggregate concrete containing fly ash as supplementary cementitious material. Five concrete mixes were prepared by varying the quantity of fly ash added that is 0%, 10%, 20%, 30% and 40% by the weight of cement. All specimens were air cured until the testing age. Then, the specimens were tested to determine compressive strength and flexural strength up to 28 days. The finding shows that integration of fly ash up to 30% produces concrete that has the potential to be used for structural application. Conclusively, approach of integrating fly ash in lightweight aggregate concrete would reduce cement consumption and fly ash disposal.
Analysis of moisture susceptibility of hot mix asphalt with waterproofing additives
Authors: Nataadmadja A D , Prahara E , Setyandito O , Ananditha R W
Published: May 2020

Having a good infrastructure system, especially the road networks, is important in supporting the country growth, and hence, it is necessary to ensure that the pavement does not deteriorate earlier than its designed lifetime. The most commonly pavement failures found are potholes and stripping, which are related to water intrusion to the hot mix asphalt (HMA). This research aims to provide an analysis on the moisture susceptibility of HMA with the addition of waterproofing additives, namely the Wetfix-BE, Wetbond-SP, and hydrated lime. The Marshall, Cantabro Loss, and Indirect Tensile Ratio tests were undertaken to assess the performance of the prepared samples. It was found that the specimens that were prepared using hydrated lime, as an alternative and low-cost waterproofing additive, perform reasonably well compared to the specimens that were prepared using the other additives.
The influence of palm oil fuel ash on the fresh properties of green self-compacting concrete
Authors: Abo Sabah S. H. , Zainul Z. , Hashim S. F. S. , Megat Johari M. A.
Published: May 2020

This paper investigates the influence of palm oil fuel ash (POFA) on the fresh properties of green self-compacting concrete (GSCC) via the slump flow, slump flow T500, L-box, and sieve stability tests when 0%, 20%, 40%, and 60% of the Portland cement content was replaced by POFA on mass-for-mass basis. The slump flow values obtained were 695 mm, 720 mm, 732 mm and 740 mm for OPC-SCC, POFA-SCC 20, POFA-SCC 40 and POFA-SCC 60, respectively, and the slump flow T500 values were 3s, 2.8s, 2.5s and 2.4s for OPC-SCC, POFA-SCC 20, POFA-SCC 40 and POFA-SCC 60, respectively. The results obtained for slump flow and slump flow T500 were satisfactory, whereby the inclusion of up to 60% POFA improved both the slump flow and slump flow T500 values. In addition, the L-box results also showed that the inclusion of POFA in the GSCC exhibited a greater passing ability performance. The sieve stability test proved that the higher the POFA content, the better the segregation resistance index of the GSCC. Thus, the overall results portrayed that it is very much viable to produce GSCC utilizing up to 60% POFA with improved fresh properties.
Experimental study on composite connection with double lipped C- Sections
Authors: Firdaus Muhammad , Saggaff Anis , Tahir Mahmood Md , Ngian Shek Poi , Siang Tan Cher , Aminuddin K M , Ali Salih Musab Nimir
Published: May 2020

The application of Cold-formed steel (CFS) is getting popular in several countries, and this indicates that a good potential of using lightweight materials as an alternative solution to conventional steel. However, there is still a lack of information about joint behavior, particularly composite connections integrated with CFS. This paper presents an isolated joint test of composite joints consisting of concrete slab 100 mm thickness, double lipped channel section used for beam and column, connected by hot-rolled steel gusset plates and bolts. The weakness of the thin plate behavior in the compression zone was reduced by installing the angle stiffener on the web column. Two specimens with the same configuration but with and without seat angle were tested. The experiment results revealed that by the use of seat angle, the moment resistance and stiffness of joints increased with the ratio 1.06 and 1.19, respectively.
Flexural performance of cold-formed steel section in a composite beam system
Authors: Lawan M M , Shek P N , Tahir M M
Published: May 2020

The application of Cold-Formed Steel (CFS) as a structural member in buildings as composite associate was rarely demonstrated due to limited technical information available about its usage in the system, despite the prospects of the CFS section in the composite system of construction in buildings as well as in light weight industrial applications as nowadays proven. Therefore, this paper aimed at demonstrating the potentials of using CFS section as a structural member in a composite beam system. Four-point bending test was used to determine the flexural strength capacities of the composite system. Results of flexural tests conducted on the composite specimens incorporating the CFS coupled with bolted shear connector proved it to be structurally feasible. In conclusion, the CFS can be employed as a structural member to eliminate the use of Hot Rolled Steel (HRS) section in small and medium size buildings and in lightweight industrial composite constructions as demonstrated.
Flexural strength improvement for structural glass: a numerical study
Authors: Hin R , Cheng K , Han V , Bernard F , Seang C , Keryvin V , Sanglebœuf J-C
Published: May 2020

Glass is generally known as a fragile material. It is sensible to the cracks created from manufacturing or contact damage. The strength of a perfect glass without crack could reach 10 GPa. By mean of strengthening such as thermal tempering, glass can be safely use for building as architectural elements and very limited to the structural elements. The authors have been developing glass strengthening methods and structural design for large scale glass beam. Some influencing factors are considered: material, premature crack effect, geometry of sample and bolt. The mechanical behaviour of glass is modelled as elastic-plastic material, which show significant results in glass-bolt contact problem. The crack length, size and position provide information of a critical angle that allow to govern the crack effect in the beam connection.
The experimental studies of punching shear behaviour of reinforced concrete flat slab with the inclusion of steel fibre: Overview
Authors: Zamri N F , Mohamed R N , Awalluddin Dinie
Published: May 2020

The application of flat slab in construction offers a good deal, whereby the elimination of beam could reduce the overall height of the building and self-weight of structure. However, a drawback is that a high concentration of shear forces and bending moments at the column peripheries are produced, which cause punching shear failure. Previous researches proved that an adequate mix composition of steel fibre reinforced self-compacting concrete (SFRSCC) has the ability to improve load carrying capacity and the energy absorption performance specifically in the slab-column connection. In view of this, this study reviewed parameters used by several previous experimental studies of the performance of steel fibre reinforced concrete in improving the punching shear strength of the flat slab. It was found that fibre volume fractions, preparation of material and size of specimen affect the efficiency of steel fibre in resisting the punching shear.
Determination of Water Consumption Behavioural Pattern of Student Resident at Public University: Universiti Teknologi Malaysia
Authors: Daud S Z , Sipan I , Ali H M , Hashim H A , Ishak M H
Published: May 2020

Water resource management at public university become a crucial issue when it was allied with water consumption among the students. It was due to an excessive water service charge faced by university and simultaneously effect on optimization of university’s cost. However, an initial effort to reduce the cost is by investigating the water consumption behavioural pattern among the students because there is incipient consensus that huge service charge was coming from student residents in hostel. Then, the management of water should also presumptuous that it is vital as an economic resource. Therefore, the aim of this research is to determine the water behavioural pattern of student residents at Universiti Teknologi Malaysia (UTM). This research embarked quantitative approach to collect the data from students by distributing questionnaires for those who stayed at hostel in UTM. Descriptive statistics and Standard Deviation Ellipse (SDE) were used as methods to achieve the objective of this study. The findings are beneficial for facilities managers to gain knowledge underpinning water behavioural pattern in water daily usage in UTM as well as assists them to estimate the water potential saving at UTM in future.
Effect of pressure to rice plant fibre reinforced composite on coefficient of friction of brake lining
Authors: Darmawan Agung Setyo , Purboputro Pramuko Ilmu , Febriantoko Bambang Waluyo , Hamid Abdul
Published: May 2020

Brake lining of motor cycle made from asbestos can produce powder when friction occurs. The resulting powder can enter the human body and cause disease. For this reason it is necessary to find alternative materials that can replace asbestos. One material that has the potential to replace asbestos as brake lining is a rice plant fibre reinforced composite. This study aims to determine the effect of pressure on the coefficient of friction of a rice plant fibre reinforced composite. The rice plant fibre reinforced composite are made from fibre rice plant, aluminium powder and fibreglass as a dispersed phase and polyester resin as a matrix. Pressure varies from 10 kg/cm2 to 30 kg/cm2, with a speed of 2000 rpm. Micro photographs were also taken to investigate the phase and bond failure on the composite. The results showed an insignificant increase in the coefficient of friction by 1.74% in dry conditions and 6.23% in wet conditions. In addition, the results also show the coefficient of friction in dry conditions is higher than in wet conditions.
Effect of operation conditions to rice plant fiber reinforced composite on coefficient of friction and wear rate of brake lining
Authors: Purboputro Pramuko Ilmu , Darmawan Agung Setyo , Waluyo Febriantoko Bambang
Published: May 2020

Composites made from a combination of rice plant fiber, fiberglass, aluminium powder and polyester resin are potential materials to be used as brake lining. In addition to the properties of the composite material itself, operating conditions also affect the performance of the brake lining. Therefore, this study is aimed to investigate the effect of operating conditions on the coefficient of friction and the wear rate of the composite when used as brake lining. The coefficient of friction and the wear rate tests were carried out on composites made of 40% fiber rice plant, 40% polyester resin, 10% fiberglass and 10% aluminium. The tests were carried out at a pressure of 30 kg/cm2 and a speed of 2000 rpm. The operating conditions applied in this study were dry, water, salt water and brake oil. The test results show that the highest coefficient of friction was the dry operating conditions of 0.643 and the lowest coefficient of friction was the operating condition using brake oil of 0.586. While the wear test results showed the highest wear rate in dry operating conditions of 81.25 mm3/hour and the lowest wear rate in operating conditions using brake oil of 68.34 mm3/hour.
Simulation of Queuing System for Customer Service Improvement: A Case Study
Authors: Hasugian Ivo Andika , Fernando  , Supriadi
Published: May 2020

This paper describes the queuing system for buying tickets in a cinema. Queues can be interpreted as a long line of customers who need service from one or more service facilities. Queues occur because of an imbalance between those served and their services. Some cinema consumers are annoyed because of the long queue to buy tickets and sometimes cancel them. One cinema that does not escape the length of the queue waiting time is the XYZ cinema. The purpose of this study is to optimize the queue system in buying tickets in the cinema to avoid long queues. The queuing system is optimized with a simulation approach using discrete event simulation. Simulation results show the best value obtained in the proposed scenario simulation model is to add a queue path to the queuing system. The results obtained are by increasing the queue path from 1 to 2 so that the length of the queue decreases from 91.2068 people per hour to 54.1520 and 50.8887 people per hour. Service time at counter 1 is 4.2201 minutes with an average number of 58.5861 people per hour. Service time at counter 2 is 3.9701 minutes with an average number of 51.1310 people per hour.
Production floor layout design for vise manufacturing using CRAFT algorithm
Authors: Sitepu Muhammad Haikal , Alda Tania , Sembiring Meilita Tryana , Nasution Andri , Sani Lubis Mutiara , Jonathan Andrian
Published: May 2020

Production floor is the core for manufacturing company. The value added activities are mostly performed in the production floor. Several factors influence a productivity of production including technology, skill of labor and production floor layout. The manufacturing company with optimal production floor layout will produce lower material flow which in turn reduce production cycle time and material handling cost. As the result, production floor layout design is necessary particularly for manufacturing with assembly product such as vise manufacturing. Several parts with different processes and materials will require high material flow between machines. If the machines are not arranged properly in production floor, it will increase material flows. This paper aims to demonstrate the design of production floor layout for vise manufacturing using CRAFT (Computerized Relative Allocation Facilities Technique) algorithm. This study produces alternative of production floor layouts by minimizing the distance between machines.
Effect of Tip Speed Ratio on the Performance of H-Darrieus Wind Turbine with NACA 0018 Airfoil
Authors: Hamdani Wahyu , Sihombing Hendrik V. , Ambarita Himsar , Kishinami Koki
Published: May 2020

The effect of Tip Speed Ratio (TSR) to the performance of an H-Darrieus Vertical Axis Wind Turbine was studied using numerical method. The blade of the turbine was formed by using NACA 0018 mode. Three-dimensional governing equations are developed. The turbulent flow was modelled using k – epsilon equation. The commercial code Computational Fluid Dynamic is employed to solve the problem. The focus in here is to explore effect of the TSR. The tip speed ratio is varied from 1.65 to 1.8. As a results, the contour velocity was generated and discussed. The average velocity of the wind leaving from the turbine is employed to estimate the power coefficient. The power coefficient for tip speed ratio 1.65 and 1.8 are discussed. The conclusion here is that tip speed ratio and the power coefficient strongly affected each other. Increasing the tip speed ratio will increase the coefficient power.
An Analysis of One-Roof Application Services Quality at the Faculty of Social and Political Sciences, University of North Sumatra
Authors: Nasution Muhammad Arifin , Yudha Regif Surya
Published: May 2020

The University of North Sumatra is a government agency that organizes education, research and community service. It also includes efforts to enforce effective and efficient administrative governance. Integrated administration services in the world of collegeto serve student administrative affairs have been carried out by the Faculty of Social and Political Sciences, The University of North Sumatra through online services. The online-based service is called the One-Roof Application or abbreviated as ASA to facilitate the process of correspondence between students and the administration of the faculty in the orderly administration of the academic world which is provided under one roof of service. This study uses a questionnaire as one of the data collection tools, then the study used research respondents who used the one-roof application. Based on information received from the One-Stop Application Service Unit of the Faculty of Social and Political Sciences, that every day in the customer hall serves approximately 20 people using one roof with a range of service days in 1 month, Monday - Friday totaling 20 x 20 days = 400 population with a sample size of 196 people. This is based on the formulation of the creative and organic tables set out in the Regulation of the Minister of Administrative Reform and Bureaucratic Reform of the Republic of Indonesia Number 14 of 2017 Concerning Guidelines for the Preparation of Public Satisfaction Survey Public Service Provider Units. The results of the service satisfaction study are categorized GOOD.
Facilities layout design for vise manufacturing using Blocplan
Authors: Sitepu Muhammad Haikal , Alda Tania , Sembiring Meilita Tryana , Nasution Andri , Ayu Nurul Nadhirah , Zein Muhammad Rizky
Published: May 2020

Production floor requires several supporting facilities such as warehouse, office, labor locker and shipping/receiving area. These facilities are used to do activities other than production such as storing raw materials, rest for labor and other administration works. These facilities must be designed around the production floor. Design facilities layout becomes important for production since it can influence the material and human flow between facilities and production floor. As the result the arrangement of supporting facilities is necessary to make production activities run smoothly. Mistake in arrangement of supporting facilities might increase material and human movements which in turn increase material handling costs. Vise manufacturing requires supporting facilities to support the production of vise. The purpose of this study is to demonstrate the use of Blocplan in arranging supporting facilities for vise manufacturing.
Time Frequency Signal Classification Using Continuous Wavelet Transformation
Authors: Sirait Helbert , Sebayang Kerista , Humaidi Syahrul , Sembiring Timbangen , Tarigan Kerista , Sembiring Kurnia , Rahayu Teguh , Ainun Ayun Ria , Sinambela Marzuki
Published: May 2020

Time-frequency analysis can provide useful information in digital signal seismic data processing and interpretation. The energy concentration of the spectrum depends on the consistency of function of the time-frequency analysis and instantaneous frequency variation digital signal. In this case, we used the digital signal seismic from selected seismometer broadband which deployed in Sumatera Island. The aim of this study to classify the waveform based on the time-frequency analysis using continuous wavelet transform (CWT). The sample data used the earthquake of 20 February 2018 in North Sumatera. The result indicated the classification between the horizontal and vertical components from the seismometer broadband is different. The classification of vertical is affected by seismic source and horizontal component affected the site effect.
Comparison of Crude Oil Supply Cost Between Ship Rental and Single Point Mooring
Authors: Rizkya I , Syahputri K , Sari RM , Syardhi OC
Published: May 2020

Today, the need for fuel oil and gas are increasing. Fuel oil and gas is the energy needed by the public to support daily activities. To meet the people needs for fuel oil and gas, the company is not only focused on the Indonesian people needs. Production principle carried out is make to stock, so the company makes direct purchase of imported and domestic crude oil and through government entitlement. Currently this fuel oil company has a problem that is quite urgent because the currency value is related to the crude oil procurement. This causes the profit obtained by the company is not optimal. So it needs to be evaluated relates to crude oil procurement policies in the company. As a result, the total costs spent by GP ship rental policy is $ 53.572.938, but by using the SPM (Single Point Mooring) method will save around $ 114.300.205 for 4 years scale or $ 28.575.051 in a year.
Product Placement Based on Throughput at PT XYZ Warehouse
Authors: Tambunan Mangara M , Tambunan Regina
Published: May 2020

PT. XYZ is a company engaged in the manufacture of beverages with various types of drinks both carbonated soft drinks and non-carbonated soft drinks. The company’s products are coca cola, fanta, sprite, minute maid, ades, nutriboost, etc. The company has a warehouse to store products that are produced before being distributed to consumers. There are 79 types of products stored in the warehouse. Problems faced by PT. XYZ is a product that does not have a fixed storage block yet and the company does not have a clear product grouping where the product placement is not based on the similarity of product types and the level of product activity so it takes time to look for products stored in the warehouse when needed. Therefore, it is necessary to design warehouse layout PT. XYZ by using the dedicated storage method to place the product in a fixed location and based on the level of activity. The results of product placement in the dedicated storage method show that the highest T / S value is product code 975341, with a value of 5,200 so that the product is placed in the storage block closest to the staging bays (I / O point).
Maternal mortality classification for health promotive in Dairi using machine learning approach
Authors: Manik Henry , Siregar M. Fidel G. , Kintoko Rochadi R. , Sudaryati Etti , Yustina Ida , Triyoga Rika Subarniati
Published: May 2020

Reducing maternal mortality rate is a key concern of health promotion in developing countries or city face. The investigated and survey for maternal mortality had been done in Dairy City. There are 149 samples got from the survey directly in this area for 2017. In this study, we use a machine learning approach to train and test the data of maternal mortality. The aim of this study to classification maternal mortality in health promotion for reducing the maternal mortality rate in Dairi. The result of this study indicated the decision tree and Naïve Bayes are available to train and test the dataset. The accuracy of the decision tree of maternal mortality is 100 % and the Naïve Bayes model indicates 97.37 % of maternal mortality.
Characteristics of Process Parameters in Fused Deposition Modelling Process
Authors: Siregar Ikhsan , Saedon J.B. , Adenan Mohd Shahriman , Azmi Mohammad Firdaus Mohammed
Published: May 2020

Additive manufacturing has received incredible attention as a crucial emerging technology as three-dimensional printing offers wide range of industrial applications. This article outlines empirical analyses on the influence of key process parameters such as print speed, infill speed and layer resolution on roughness of the surface and time taken of Fused Deposition Modelling (FDM) processed of Polylactic Acid (PLA) part. Influence of each parameter couple with analysis of variance were utilize using full factorial design. The optimum parameters setting for best surface roughness and lower machining time also being determined. Experimental results indicate that optimal factor settings for each performance characteristic are different.
Bearing Damage Detection using Support Vector Machine
Authors: Sukendi  , Isranuri Ikhwansyah , Suherman
Published: May 2020

Vibration can be used for preventive condition monitoring in industrial equipment. Vibration measurement may avoid unexpected damages. The measurement data can be analyzed either by using signal processing or machine learning. This work assessed bearing damage detection as bearing is intensively used in industrial mechanical equipment. The assessment was performed experimentally by developing system prototype and measurement tools, including the use of laser vibrometer and a labjack as well as support vector machine to predict some types of damages. The work has been able to predict the BPFI, BPFO, BSF, and FTF damages by 93.125% accuracy. However, accuracy plunged to 61.25% when bearing damages were of three types: BPFO, BSF and FTF.
Facial Recognition-Based Automatic Door Access System Using Extreme Learning Machine
Authors: Rahmat R F , Zai E N , Fawwaz I , Aulia I
Published: May 2020

Facial recognition is one of the best forms of security since it is biometric-based security that uses biological features of the face. One of the artificial neural networks that can be implemented in the face recognition case is Extreme Learning Machine with the assistance of Local Binary Pattern in obtaining the facial features. The testing process in this study used 150 face images for training data and 60 face images for test data. The test was carried out using several three parameters of the hidden neuron numbers, namely 10, 30, and 50, and also five parameters of the image condition, namely feature, expression, face direction, lighting, and webcam distance. The system achieved the highest accuracy of 90% using 50 hidden neurons.
The Development of Mobile and Server Application for Traffic Data Collection Based on Location-Based Services (LBS)
Authors: Gunawan D , Priyanka  , Sitompul O S
Published: May 2020

Traffic data includes various data such as the number of vehicles, vehicle velocity, or travel time that might lead to meaningful information for the traffic engineers. This research aims to collect the traffic data based on the Location Based Services (LBS) by utilizing the Global Positioning System (GPS) in a smartphone. The drivers bring the smartphone and collecting the traffic data while driving the vehicle. It is done in real-time by running the mobile application in background service. The data includes the date, timestamp, latitude, longitude, device ID, and vehicle velocity. These data are temporarily stored in the internal smartphone database, then synchronized to the database in the server application. According to the result, the large number of online taxi drivers and a longer time to collect the data should be considered to cover a wide area.
Combination of Rail Fence Cipher Algorithm and Least Significant Bit Technique to Secure the Image File
Authors: Rachmawati Dian , Budiman Mohammad Andri , Yusuf Akhmad
Published: May 2020

Image is a visual representation of an object The process of sending information, especially images, can be done anywhere and with any intermediary, but not all information is public. Sometimes someone needs privacy or security from data or information that will be sent or received. One way to secure image files is to use cryptography. Cryptography is the study of how to keep data or messages safe when sent, from the sender to the recipient, without experiencing interference from third parties. In this study cryptography used is Rail Fence Cipher that was combined with steganography, so that the secret message could not be seen in plain view. Steganography serves to hide secret messages in other messages, so the secret is a very hidden existence. There are several methods in Steganography, one of which is Least Significant Bit. The concept of Least Significant Bit works by replacing the last bit of RGB image, where the message is converted first into bits. Based on experiments conducted on the Rail Fence Cipher algorithm, the time of encryption and decryption needed when the resolution of the image gets larger is linearly proportional to the value. The image does not show significant changes before and after inserting a secret message.
A vague memory can affect first-return time
Authors: Sakiyama Tomoko
Published: May 2020

First-return time is an important property for the return of particles or walkers to a start point. Recursive walks, which may be related to first-return time, are found in both random walk models and memory-based walk models. Achieving a balance between recursive walks and diffusive movements is a crucial but difficult modeling problem. Here, starting with a simple Brownian-walk model, I investigated how vague memorized information influences the first-return times of a walker. In the proposed model, the walker memorizes recently visited positions and recalls the direction in which it previously moved when returning to those positions. Using the recalled information, the walker then moves in the opposite direction to that previously traveled. In addition, the walker considers its recent experience and modifies its directional rules, i.e., memorized information, when the rule disturbs the recent flow of its movement. Thus, the proposed model effectively produces recursive walks in which a walker returns to a start point while demonstrating diffusive movements.
Quantum machine learning and quantum biomimetics: A perspective
Authors: Lamata Lucas
Published: May 2020

Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technologies. It may permit, on the one hand, to carry out more efficient machine learning calculations by means of quantum devices, while, on the other hand, to employ machine learning techniques to better control quantum systems. Inside quantum machine learning, quantum reinforcement learning aims at developing ‘intelligent’ quantum agents that may interact with the outer world and adapt to it, with the strategy of achieving some final goal. Another paradigm inside quantum machine learning is that of quantum autoencoders, which may allow one for employing fewer resources in a quantum device via a training process. Moreover, the field of quantum biomimetics aims at establishing analogies between biological and quantum systems, to look for previously inadvertent connections that may enable useful applications. Two recent examples are the concepts of quantum artificial life, as well as of quantum memristors. In this Perspective, we give an overview of these topics, describing the related research carried out by the scientific community.
Gene-based mediation analysis in epigenetic studies
Authors: Fang Ruiling , Yang Haitao , Gao Yuzhao , Cao Hongyan , Goode Ellen L , Cui Yuehua
Published: May 2020

Mediation analysis has been a useful tool for investigating the effect of mediators that lie in the path from the independent variable to the outcome. With the increasing dimensionality of mediators such as in (epi)genomics studies, high-dimensional mediation model is needed. In this work, we focus on epigenetic studies with the goal to identify important DNA methylations that act as mediators between an exposure disease outcome. Specifically, we focus on gene-based high-dimensional mediation analysis implemented with kernel principal component analysis to capture potential nonlinear mediation effect. We first review the current high-dimensional mediation models and then propose two gene-based analytical approaches: gene-based high-dimensional mediation analysis based on linearity assumption between mediators and outcome (gHMA-L) and gene-based high-dimensional mediation analysis based on nonlinearity assumption (gHMA-NL). Since the underlying true mediation relationship is unknown in practice, we further propose an omnibus test of gene-based high-dimensional mediation analysis (gHMA-O) by combing gHMA-L and gHMA-NL. Extensive simulation studies show that gHMA-L performs better under the model linear assumption and gHMA-NL does better under the model nonlinear assumption, while gHMA-O is a more powerful and robust method by combining the two. We apply the proposed methods to two datasets to investigate genes whose methylation levels act as important mediators in the relationship: (1) between alcohol consumption and epithelial ovarian cancer risk using data from the Mayo Clinic Ovarian Cancer Case-Control Study and (2) between childhood maltreatment and comorbid post-traumatic stress disorder and depression in adulthood using data from the Gray Trauma Project.
In Their Own Words: Douglas Futuyma
Authors: Verdier James M
Published: May 2020

In Their Own Words chronicles the stories of scientists who have made great contributions to their fields, particularly within the biological sciences. These short oral histories provide our readers a way to learn from and share their experiences. Each month, we will publish in the pages of BioScience and on our podcast, BioScience Talks (http://bioscienceaibs.libsyn.com), the results of these conversations. This oral history is with Douglas Futuyma, professor emeritus of ecology and evolution at Stony Brook University, in Stony Brook, New York. He previously served as president of the American Institute of Biological Sciences.

Note: Both the text and audio versions have been edited for clarity and length.
Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield
Authors: Keane Michael , Neal Timothy
Published: May 2020

Predicting the impact of climate change on crop yield is difficult, in part because the production function mapping weather to yield is high dimensional and nonlinear. We compare three approaches to predicting yields: (a) deep neural networks (DNNs), (b) traditional panel-data models, and (c) a new panel-data model that allows for unit and time fixed effects in both intercepts and slopes in the agricultural production function—made feasible by a new estimator called Mean Observation OLS (MO-OLS). Using U.S. county-level corn-yield data from 1950 to 2015, we show that both DNNs and MO-OLS models outperform traditional panel-data models for predicting yield, both in-sample and in a Monte Carlo cross-validation exercise. However, the MO-OLS model substantially outperforms both DNNs and traditional panel-data models in forecasting yield in a 2006–2015 holdout sample. We compare the predictions of all these models for climate change impacts on yields from 2016 to 2100.
The glycoconjugate-degrading enzymes of Clostridium perfringens: Tailored catalysts for breaching the intestinal mucus barrier
Authors: Low Kristin E , Smith Steven P , Abbott D Wade , Boraston Alisdair B
Published: May 2020

The gastrointestinal (GI) tract of humans and animals is lined with mucus that serves as a barrier between the gut microbiota and the epithelial layer of the intestine. As the proteins present in mucus are typically heavily glycosylated, such as the mucins, several enteric commensal and pathogenic bacterial species are well-adapted to this rich carbon source and their genomes are replete with carbohydrate-active enzymes targeted toward dismantling the glycans and proteins present in mucus. One such species is Clostridium perfringens, a Gram-positive opportunistic pathogen indigenous to the gut of humans and animals. The genome of C. perfringens encodes numerous carbohydrate-active enzymes that are predicted or known to target glycosidic linkages within or on the termini of mucus glycans. Through this enzymatic activity, the degradation of the mucosal layer by C. perfringens has been implicated in a number of GI diseases, the most severe of which is necrotic enteritis. In this review, we describe the wide array of extracellular glycoside hydrolases, and their accessory modules, that is possessed by C. perfringens, and examine the unique multimodularity of these proteins in the context of degrading the glycoconjugates in mucus as a potential component of disease.
The single EGF-like domain of mouse PAMR1 is modified by O-Glucose, O-Fucose and O-GlcNAc
Authors: Pennarubia Florian , Germot Agnès , Pinault Emilie , Maftah Abderrahman , Legardinier Sébastien
Published: May 2020

Epidermal growth factor-like domains (EGF-LDs) of membrane and secreted proteins can be modified by N-glycans and/or potentially elongated O-linked monosaccharides such as O-glucose (O-Glc) found at two positions (O-Glc 1 and O-Glc2), O-fucose (O-Fuc) and O-N-acetylglucosamine (O-GlcNAc). The presence of three O-linked sugars within the same EGF-LD, such as in EGF-LD 20 of NOTCH1, has rarely been evidenced. We searched in KEGG GENES database to list mouse and human proteins with an EGF-LD sequence including one, two, three or four potential O-glycosylation consensus sites. Among the 129 murine retrieved proteins, most had predicted O-fucosylation and/or O-GlcNAcylation sites. Around 68% of EGF-LDs were subjected to only one O-linked sugar modification and near 5% to three modifications. Among these latter, we focused on the peptidase domain-containing protein associated with muscle regeneration 1 (PAMR1), having only one EGF-LD. To test the ability of this domain to be glycosylated, a correctly folded EGF-LD was produced in Escherichia coli periplasm, purified and subjected to in vitro incubations with the recombinant O-glycosyltransferases POGLUT1, POFUT1 and EOGT, adding O-Glc1, O-Fuc and O-GlcNAc, respectively. Using click chemistry and mass spectrometry, isolated PAMR1 EGF-LD was demonstrated to be modified by the three O-linked sugars. Their presence was individually confirmed on EGF-LD of full-length mouse recombinant PAMR1, with at least some molecules modified by both O-Glc1 and O-Fuc. Overall, these results are consistent with the presence of a triple O-glycosylated EGF-LD in mouse PAMR1.