bluuebunny/crossref_metadata_2025 huggingface dataset:
Aedes albopictus
in America: current perspectives and future challenges.
Authors: Unlu I.
Published: September 2019

The Zika virus outbreak in Miami-Dade, Florida, in 2016 heightened our awareness of the presence, expansion and vectorial capacity of invasive
Aedes
mosquitoes in the USA. The Asian tiger mosquito,
Aedes albopictus
, has not been implicated as a vector during an arbovirus outbreak in the USA, however this species is established in at least 40 states, including Hawaii, and has a greater geographic distribution in North America than
Ae. aegypti
. Current mosquito control strategies may be insufficient to control
Ae. albopictus
in the USA, given the affinity of this species for cryptic habitats and diurnal activity. Accordingly, control efforts have had to be creative. For example, more mosquito abatement districts are modifying truck-mounted sprayers to apply larvicides to cryptic habitats in, inspecting and treating corrugated extension gutters as part of source reduction campaigns, and improving ultra-low volume (ULV) adulticiding methods to achieve higher reduction in adult
Ae. albopictus
. This review discusses
Ae. albopictus
surveillance, action thresholds for intervention, rising concerns on resistance, public involvement, challenges facing mosquito control professionals and how to address gaps for a sustainable surveillance and management programme.
Enhanced L-cysteine production by overexpressing potential L-cysteine exporter genes in an L-cysteine-producing recombinant strain of Corynebacterium glutamicum
Authors: Kishino Mayumi , Kondoh Mariko , Hirasawa Takashi
Published: September 2019

We identified L-cysteine exporter candidates of Corynebacterium glutamicum and investigated the effect of overexpression of the potential L-cysteine exporter genes on L-cysteine production in a recombinant strain of C. glutamicum. Overexpression of NCgl2566 and NCgl0580 resulted in enhanced L-cysteine production in an L-cysteine-producing recombinant strain of C. glutamicum.
Isolation, synthesis, and biological activities of a bibenzyl from Empetrum nigrum var. japonicum
Authors: Oka Sayuki , Kuniba Ryo , Tsuboi Nozomi , Tsuchida Sayaka , Ushida Kazunari , Tomoshige Shusuke , Kuramochi Kouji
Published: September 2019

4-(2-Hydroxyphenethyl)-2,6-dimethoxyphenol, a bibenzyl, was isolated from the leaves of Empetrum nigrum var. japonicum, collected from Mount Tateyama. Japanese rock ptarmigans frequently eat the leaves and fruits of this plant. The structure of the bibenzyl was confirmed by NMR spectroscopic analysis and fully characterized. A synthesis of this compound was accomplished by coupling 2-hydroxyphenylacetic acid with syringaldehyde, decarboxylation of the resultant isoaurones, and hydrogenation of the double bond in the corresponding stilbene. This compound displayed cytotoxic activity against human cancer cells (HCT116 and Hela cells) and leukemia cells (HL-60 cells). The present study suggests that this plant serves as a source of biologically active natural products. Also, our findings provide information on the secondary metabolites in the diet of Japanese rock ptarmigans.
B cell dissemination patterns during the germinal center reaction revealed by whole-organ imaging
Authors: Stoler-Barak Liat , Biram Adi , Davidzohn Natalia , Addadi Yoseph , Golani Ofra , Shulman Ziv
Published: September 2019

Germinal centers (GCs) are sites wherein B cells proliferate and mutate their immunoglobulins in the dark zone (DZ), followed by affinity-based selection in the light zone (LZ). Here, we mapped the location of single B cells in the context of intact lymph nodes (LNs) throughout the GC response, and examined the role of BCR affinity in dictating their position. Imaging of entire GC structures and proximal single cells by light-sheet fluorescence microscopy revealed that individual B cells that previously expressed AID are located within the LN cortex, in an area close to the GC LZ. Using in situ photoactivation, we demonstrated that B cells migrate from the LZ toward the GC outskirts, while DZ B cells are confined to the GC. B cells expressing very-low-affinity BCRs formed GCs but were unable to efficiently disperse within the follicles. Our findings reveal that BCR affinity regulates B cell positioning during the GC response.
Thermophoresis of biological and biocompatible compounds in aqueous solution
Authors: Niether D , Wiegand S
Published: September 2019

With rising popularity of microscale thermophoresis for the characterisation of protein-ligand binding reactions and possible applications in microfluidic devices, there is a growing interest in considering thermodiffusion in the context of life sciences. But although the understanding of thermodiffusion in non-polar mixtures has grown rapidly in recent years, predictions for associated mixtures like aqueous solutions remain challenging. This review aims to give an overview of the literature on thermodiffusion in aqueous systems, show the difficulties in theoretical description that arise from the non-ideal behaviour of water-mixtures, and highlight the relevance of thermodiffusion in a biological context. We find that the thermodiffusion in aqueous systems is dominated by contributions from heat of transfer, hydrogen bond interactions and charge effects. However, the separation of these effects is often difficult, especially in case of biological systems where a systematic exclusion of contributions may not be feasible.
Feature extraction from app reviews in google play store by considering infrequent feature and app description
Authors: Sutino Q L , Siahaan D O
Published: September 2019

Google Play Store is one of the platforms used for distributing various kinds of mobile app from the developer to the users. Through this platform, users are allowed to give their comments about the app. These user reviews could be used to extract potential app’s requirements. They are important information for developer to further develop the app. There have been some previous researches about extracting mobile app features which are frequently mentioned in user reviews. There are less researches that focus on extracting infrequent features. Nevertheless, extracting infrequent features is also important. It is because there is a possibility that important needs contained in the review which are not extracted as frequent features. One of the challenges in infrequent feature extraction was the irrelevant features contained in extracted features. To overcome the problem, this study aims to extract app frequent feature in reviews by finding collocation and infrequent feature in reviews based on dependency as extraction rules. Afterward, it compares the similarity of all the extracted features from review with features from app description. The implied technique of similarity measure includes similarity of 1) single-term by matching each term of feature, 2) synonym referring to WordNet synsets, and 3) sentence based on calculation of lexical semantic vector and cosine similarity. The implementation result is evaluated using precision and recall calculations. The result shows that features extracted by proposed method are more relevant than previous method.
Multichannel Electroencephalography-based Emotion Recognition Using Machine Learning
Authors: Yulita IN , Julviar RR , Triwahyuni A , Widiastuti T
Published: September 2019

In recent years, research in the field of human-computer interaction (HCI) has focused on strengthening machine functions in recognizing and understanding human emotions. Emotion recognition can be done in several ways, among others, through sounds, facial expressions, or a combination of both. The different sounds and facial expressions from different races and nations cause less accurate in the reading of emotions using these methods. Another method for recognizing emotions can be done by analysing the data from an electroencephalograph (EEG). The EEG signals from the human brain are the result of various activities carried out. One of them is emotion. The EEG signal used in this study came from the DEAP dataset. This dataset consists of 32 files, each of which contains 40 EEG recordings. The emotions from this dataset are classified based on the dimensions of arousal and valence. The signal was then decomposed into three different frequency groups (alpha, beta, and gamma) through band-pass filtering. After that, the principal component analysis (PCA) and resampling were carried out. The classification processes used a number of methods of machine learning. The result was known that the performance of K-star was the highest while naïve Bayes was the lowest. The accuracies of K-star in arousal and valence classification were 81.2, 82.6, respectively. The naive Bayes got 51.2 for the arousal, and 52.5 for the valence.
Web Performance Optimization Techniques for Biodiversity Resource Portal
Authors: Budiman Edy , Puspitasari Novianti , Wati Masna , Widians Joan Angelina , Haviluddin
Published: September 2019

Monitoring and evaluation is a part of management that must be done if want to an increase, and improvement in performance. Therefore, these activities are needed as an effort to develop, manage and optimize the Biodiversity Resource Portal. This study aims to analyze the efficiency of the Biodiversity resource portal of the key performance indicators on Image and script (CSS / JScript) content. Pre-Test and Post-Test analysis methods using Web Performance Optimization Techniques. Evaluation the test results showed an increase in end-to-end web performance after optimization, from the efficiency score of pretest Grade F (13%) to Grade B (82%) post-test.
Model Framework for Development of Biodiversity Information Systems
Authors: Budiman Edy , Puspitasari Novianti , Wati Masna , Haviluddin  , Rahim Robbi
Published: September 2019

The aim of the study was to design a framework for developing bioinformatics resource information systems using the Model-View-Controller (MVC) design pattern. Research contributions generate a framework as an approach model for the development of Biodiversity Information Systems which aims to improve computational capabilities and management of biodiversity data resources for the use of public information clusters. This product combines component capabilities (View Controller Model (MCV), Object Relational Mapping (ORM) and ICBN Nomenclature Taxonomy) with reusable resources. The results of the study have produced a special prototype in the form of a Framework in the Development of Bioinformatics resource information systems that can be accessed online in the site: http://borneodiversity.org/index.
An Empiric Model of Face Detection based on RGB Skin Tone Color
Authors: Robin  , Ferawaty  , Jusin  , Hita  , Irviantina Syanti , Siregar Saut Dohot , Chandra Wenripin
Published: September 2019

Modern smartphone has been society’s lifestyle where every smartphone has a high quality digital camera with all the digital image processing feature. One of those features are face detection. Face detection is the most basic process of any face processing operations. Most digital images are stored in the form of RGB (Red, Green, Blue) data. In this research, detection of human face features is done by using different RGB values in digital images. After applying skin tone color segmentation on digital images, detection area will be optimized using human head properties by eliminating non-human face skin tone area. The experiment shows that the detection is mostly accurate for images but there is issue on low light face skin color captured by digital cameras. From the experiment of our model using 10 sample face images, face can be detected on 9 of them, while in 1 image, the face cannot be detected at all because of low light condition.
Abnormalities State Detection from P-Wave, QRS Complex, and T-Wave in Noisy ECG
Authors: Wijaya Chandra , Andrian  , Harahap Mawaddah , Christnatalis  , Turnip Mardi , Turnip Arjon
Published: September 2019

In last 5 years Physical Computing has been a constant discussion in the whole world. With so many Physical Computing turned into wearable technology. We are trying to take one of thousands of example, in this case ECG processing, and put it into the test. We tried to expand all the features and pin point all the exact point of the PQRST of the ECG. We also tested it in three state of condition, which is: sitting-rest, walking, and fast-paced walk to see how our program would perform in that particular varies of activity. From the analysis conducted, it can be concluded that the output of our proposed combination of method shown a significant performances.
Motion detect application with frame difference method on a surveillance camera
Authors: Husein A M , Calvin  , Halim David , Leo Raymond , William
Published: September 2019

Security becomes one of the major necessities in our lives nowadays however criminal activities are still at large with criminals unable to be persecuted without eligible proofs of their misdeeds. Surveillance Camera is one of the better solutions to these problems in which they can be positioned at every corner of a building even streets and alleys. Their functions can be enhanced by adding algorithms that can identify objects. Frame Differences method is an algorithm to identify an object’s motion. Using this algorithm, we could differentiate an object moving in the environment. Background subtraction is one of the methods suitable to further improve frame differences thus increasing its effectiveness and precision. After implementing the method on a camera, the luminosity was founded to influence the threshold value significantly, the threshold value of 35 is the optimal value.
Performance Evaluation of ESP8266 Mesh Networks
Authors: Yoppy  , Harry Arjadi R , Setyaningsih Endah , Wibowo Priyo , Sudrajat M I
Published: September 2019

Existing WiFi mesh networks are usually implemented on high-end or PC grade platforms. However, the open source community has been recently developing a unique mesh network library targeted for the low-cost and resource limited ESP8266 platform. The so called painlessMesh library enables two or more ESP8266 modules to self-configure and to form a WiFi mesh network. This might open up new potential for the ESP8266 to be used in wider application areas. The library is in an early development stage and not much is known about its performance. Therefore, this paper aims to evaluate to what extent the ESP8266 painlessMesh network can perform, in terms of one-way delay and data rate. Measurements showed that a 2-node network has a delay of 2.49 ms. A network consisting of higher number of nodes tends to have an increased network delay even for the same hop distance. Meanwhile, data rate measurements showed that for the case of 10-byte payload a node can receive up to 461 messages/sec. Whereas for payload of 4400 bytes, the node can receive up to 28 messages/sec. Furthermore, it can be reported that payload greater than 4400 bytes starts causing incomplete and erroneous messages.
Wireless Disturbance Mapping and Path Selection for Placement of Network Control System Components
Authors: Joelianto Endra , Ghazali Muhammad Zhaka , Juhana Tutun
Published: September 2019

Wireless transmitters in measurement instruments act for transmitting data or signals using radio frequency or currently better known as WIFI by means of 2.4 GHz. WIFI is a wireless local area network (WLAN) communication network. With the existence of telecommunications, measurement and control in industrial processes are heading to a high level of reliability compared to the conventional wired instruments in reaching hard locations or dangerous and hazardous areas. However, this cannot be done easily especially in maintaining the communication performances. Research is needed on the reliability of the wireless transmitter itself. Several factors such as communication disruptions are new challenges for the industry of wireless technology manufacturers to be able to prevent or to minimize errors that can arise in wireless network control systems. Signal strength mapping is needed in designing wireless network control systems. In this paper, the mapping is performed by measuring the signal strength parameters (Power Level) and the use of channels (Channel Usage) at planned locations. The measurement results are then used as sample points in the mapping. Data show that the signal strength measurement at each channel has a maximum of - 60 dBm and a minimum of -105 dBm. Mapping is performed by using two methods, namely Inverse Distance Weight (IDW) and Spline Interpolation (SI) methods. The paper proposes an algorithm to select the appropriate wireless communication paths from the planned locations. The mapping results indicate the appropriate area to place the transmitter and the receiver devices in a wireless data transmission network. With good placement, it is expected that measurements using wireless transmitters have minimum disruptions.
Study On The Doping Effect Of Cu-Doped ZnO Thin Films Deposited By Co-Sputering Technique
Authors: Saragih Albert Daniel , Abdullah Hairus , Kuo Dong-Hau
Published: September 2019

Cu-doped ZnO thin films with variation power at 0, 3, 5, and 10 W were prepared by DC/RF magnetron sputtering technique. The thin films have been deposited onto the soda lime glass (SLG) substrates at room temperature. The XRD peaks of the Cu-doped ZnO thin films identified as hexagonal wurtzite structure ZnO. The surface morphology of Cu doped ZnO thin films was investigated through a scanning electron microscope, which indicated the grain size slightly decreased by doping Cu. The transmittance significantly decreases accompanying increasing the Cu concentration. The optical band gaps Cu-doped ZnO thin film were estimated to be 3.30, 3.25, 2.87, and 2.31 eV when the powers of Cu target were 0, 3, 5, and 10 W respectively. The 15% of the Cu content show the best data in our experiment.
Tools for Detecting and Control of Hydroponic Nutrition Flows with Esp8266 Circuit Module
Authors: Sihombing Poltak , Zarlis Muhammad , Heriyance  , Alkarina Nadia
Published: September 2019

In hydroponic plants, adequate nutrition and environmental temperature stability of nutrients are most important to maintain the fertility of the hydroponic plants. By monitoring nutrient flow and environmental temperature stability for hydroponics automatically, it will be easier for a farmer to monitor all of hydroponic plants. This paper, propose a tool for detecting and controlling the flow of food nutrients on the hydroponic plants using the ESP8266 circuit. First step, the sensor will detect the high nutrient solution and temperature around the hydroponic plants, then forward to microcontroller. By the microcontroller will be forwarded to the ESP8266 circuit module and send it to the Android Smartphone. The detection results of the proximity and temperature sensors that sent via ESP8266 will be used as parameters for flowing nutrients or not, and the parameters for turning on the cooling fan or not. The detection results of those sensors are sent to the smartphone by the ESP8266 circuit module, and then forwarded to the Android smartphone in real time. The data sent by ESP8266 module to thikspeak.com and android application has an average delay of 2.8 seconds on thinkspeak.com and 4.2 seconds on android application. This difference delay occurs because of the data entry is influenced of internet signals hotspots.
Tools For Detecting and Control of Soil pH by Probe Sensor based on Android
Authors: Sihombing Poltak , Peranginangin Bisman , Sitompul Dahlan , Rivaldo Rido
Published: September 2019

Soil pH is very vital for all life on agriculture. For a farmer, knowing how much of soil pH (Potential of Hydrogen) is very important. By detecting of the soil pH, it will be easier for a farmer to decide for certain agriculture plants. This research aims at develop an automatic soil pH detecting system for Farmer to visualize the soil pH demand of smart farmer using the microcontroller and smartphone. The tool model is as an information for the farmer, which also includes the devices of suitable plants on the soil which could be used to decide the type of plants suitable for the soil. By detection results of this pH sensor will decide also whether or not to drain nutrients and whether to flush the air conditioner or not. We developed the tools model to detect pH in some of soil. We include a Google maps also in order to find out the pH value of the soil in a particular region. We have tested a number of soil samples area, namely humus soil, soil with a mixture of manure, fertilizer, compost, and soil mixed with sand. The research shows the soil pH based on android by online. Furthermore, the pH value and address of the coordinates tested are stored in the firebase database. In detecting of soil pH, the system only need about 2-5 seconds time during the processing to detect the pH of some soil.
Arrythmia Classification of Electrocardiogram Recorded Data with Random Forest Method
Authors: Hutagalung Sutrisno Salomo , Kusumandari Dwi Esti , Saragih Yosafat Vincent , Tania Jessica , Turnip Arjon
Published: September 2019

Arrythmia is a condition, that our heart beat rhythm change irregularly. The doctor do manual classification process to analyze and diagnose the heart beat rhythm from ECG record. We proposed Random Forest method as classification method, to solve the problem. To cut the preprocessing time, we use WFDB library. INCART arrythmia database is provided as our training and testing data to build the classification model. The feature use is QRS amplitude, QRS amplitude Forward, QRS amplitude Backward, RR interval, Heart Rate Variance (HRV) on the QRS point, backward and forward.We using Scikit Learn for build our classification model, and tested using Scikit Learn and Weka. To classify our object data, we using FOGD-based QRS detector, and to provide our object dataset, Bitalino machine are used. The result still under consideration and need to validate by physician or cardiologist.
Optimazation of sputtered n-type GaN/InGaN for Cu(In,Ga)Se2 thin film solar cells
Authors: Daniel Saragih Albert , Abdullah Hairus , Kuo Dong-Hau
Published: September 2019

Cu(In1-x
Ga
x
)Se2 thin film solar cell with 3.64% efficiency has been demonstrated by using n-Type GaN/In0.3Ga0.7N. The CIGSe thin film was prepared by co-sputtering with two targets of Cu-In and Ga2Se3+Sb2S3. CIGSe films on the Mo/glass substrates were made by co-sputtering technique at 100 °C with a metal target of Cu-In operated at 15 W and a cermet target of Ga2Se3+Sb2S3 at 55 W, followed by thermal annealing at 600 °C for 1 h. The properties of the CIGSe thin film was studied by measuring the electrical, structural and crystal structure. Solar cell devices were designed by depositing ∼50 nm GaN layer and ∼300 nm In0.15Ga0.85N or In0.3Ga0.7N followed by coating front contact with 300–400 nm indium-tin-oxide (ITO).
Improving effectiveness and efficiency of assembly line with a stopwatch time study and balancing activity elements
Authors: Budiman Irwan , Sembiring Anita Christine , Tampubolon Jusra , Wahyuni Dini , Dharmala Andrew
Published: September 2019

Background:The rapid industrial development requires companies, especially those engaged in manufacturing, to keep growing and compete to maintain their business. Generally, companies want a short work time to meet production targets and increase profitablity. However, some small and medium enterprises tend to overlook the time standards in their production activities, which causes time and labor waste. This research was conducted to determine the standard time and provide recommendations for achieving the balance of assembly lines. Methods: This study used work time measurement techniques using the time study method with stopwatch. Primary data collection is carried out directly to workers at assembly company. Data is processed by testing data uniformity and data adequacy. Furthermore, the data is used to determine the rating factor, normal time, standard time, and the recommended balance of assembly lines. Results: The results showed that the measurement of working time had a significant impact on the effectiveness and efficiency of production activities by reducing costs for workers by 6.67% and working time to 1.45 seconds faster, as well as achieving the amount of production exceeding the production target. Conclusion: Working time measurement techniques with the time study method using stopwatch can be further investigated and applied to both large industries and small and medium enterprises.
Fulfillment of Customer Orders with Distribution Improvement
Authors: Sembiring Nurhayati , Tarigan Ukurta , Siallagan Syahputra
Published: September 2019

A company engaged in shrimp feed production, has 4 physical distribution networks, namely: PT. JWL, PT. SWS, PT. BWP, and, CV. WS. Logistics problems at the company is not achieving the fulfillment of customer orders with the right amount and the right time. This is due to the company’s inefficient inventory, distribution and transportation systems. The method used to solve inventory problems is to set safety stock. To solve distribution problems use Distribution Requirement Planning, Reorder points and determine the order frequency. Through a series of processing and problem solving steps, it is known that the total needs that must be met by the company is 10.502.308 kg with a safety stock of 132,860 tons.
Increasing service systems in network distribution
Authors: Sembiring Nurhayati , Sinaga Tuti Sarma , Ayuningthias Jean
Published: September 2019

A company that engaged in the chemical industry and produces urea and ammonia,needs an arrangement on the distribution chain to suppress the possibility of stock out. An inventory on Disaster Centre is arrange in order to meet the demand of retailers. The determination of distribution routes that can reduce waste in terms of the use of transportation facilities as to minimize the time, and distance is analized by Distribution requirement planning method. Using the selected forecasting function based on the time series method, the total demand for the next 12 months is obtained, by calculating by applying the distribution requirement planning method, an total request cannot be fulfilled decrease by 67.38% from 417 orders to 136 orders.
Redesign of Facility Layout with Graph Method and Genetic Algorithm in Wood Manufacturing Plant
Authors: Tarigan U , Herdita G Y , Tarigan U P P
Published: September 2019

Facility planning is a plan for a facility to operate synergistically in the production process, in accordance with the planned objectives. PT. XYZ is a manufacturing company in the industry that uses wood for furniture. The layout of facilities at PT. XYZ has found an irregular material flow pattern so that there is a line crossing from the joint f station to the laminating station and tapping station to the cutting station. Inefficient production lines also produce quite long production lines. In solving this problem, graph methods and genetic algorithms are used. The graph method uses from to diagrams to make proximity graphs based on the greatest weight. Genetic algorithms are based on the principles of genetics and natural selection. The genetic algorithm uses a generation mechanism so that the optimal layout results are obtained. The results showed that the actual moment of total displacement was 3,422,846 meters/month, the total moment of displacement using the graph method was 926263.69 meters/month, and the total moment of movement using the genetic algorithm was 756439.1 meters/month. The results showed that the improvement of the layout using genetic algorithms was chosen because it had an efficiency of 77.90%, higher layout improvements using graph methods with an efficiency of 72.90%.
System dynamics simulation to determine financial strategy for social health insurance in Indonesia
Authors: Kurnianingtyas Diva , Santosa Budi , Siswanto Nurhadi
Published: September 2019

Social Health Insurance (SHI) in Indonesia is still experiencing financial constraints because the financial condition of the SHI has continued to be a loss since it was established in 2014 until present so it becomes special attention needed to get achieving the Universal Health Coverage (UHC) target by the government. Therefore, this study intends to provide an appropriate SHI financial strategy recommendation by considering the stability of the balance of income and expense. In addition, a system dynamics simulation approach is needed to find optimal SHI financial strategies with variables including participant premium rates, average cost of benefits, number of health cases, and number of insurance participants. The data used came from BPJS Health data for 2016 and 2017. Afterwards, the equation used was Income ≥ Expenditures. In addition, there are several scenarios designed to reduce the level of financial losses that occur at SHI. The scenario of reducing the number of health cases is the best strategy recommendation decision. The results show that reducing average benefit costs and increasing premium rates also gets it can reduce financial problems. From the results that have been obtained, this study can contribute to the resolution of SHI Health financial problems in Indonesia.
The Effect of Habits on Wearing Footwear And hand washing after playing on the ground Against Worms in Primary School Al-Wasliyah In Medan Deli
Authors: Ramadhani Nasution Sri Lestari , Nasution Ali Napiah , Suhartomi  , Nasution Sri Wahyuni
Published: September 2019

World Health Organization reported in 2015 more than 1.5 billion population is infected with Ascaris Lumbricoides and in Indonesia on 2013 the average prevalence of infection reaches more than 28%, this study aims to investigate the effect of habits on wearing footwear and hand washing after playing on the ground against worms. The type of this research is Explanatory Research, Data were collected through interviews, documentation and examination of stool, Data was analyzed by univariate, bivariate and multivariate test. The results showed of the effect of wearing footwear Against Worms with p value 0.002 and Exp (B) 43.587 in Confidence Interval 95% is 3.848 until 493.702 and handwashing habits after playing on the ground had an effect on helminthiasis with a p value of 0.007 and Exp (B) of 28.629 in Confidence Interval of 95% between 2.482 to 330.196. According to researchers, worms live on the ground and are very quickly transmitted through the skin of the soles of the feet therefore every child needs to use footwear every time they leave home and the best way to break the chain of transmission of worms by maintaining personal hygiene, such as washing hands with soap after playing on the ground.
Determination of trash hauling routes using floyd warshall algorithm in medan barat district
Authors: Syahputri K , Rahmi M S , Indah R , Mangara M T , Josua
Published: September 2019

Medan Barat District have many environmental problems includes unoptimal waste management which is resulted by a large number of trash. The large number of trash is not well transported and the area serviced by waste managements are 9 points of temporary landfill which is the waste volume of each temporary landfill point is different, this study applies Floyd Warshall method to determine the waste transport route in Medan Barat District. This method allows the determination of routes by taking into vehicle capacity and volume of waste at each polling station. The data used is the distance between the pool with the temporary landfills point and the distance between the temporary landfills points. The results obtained in this study that total distance of all trucks carried out in Medan Barat District is 415 km and after using Floyd Warshall method, a total distance has been 387,11 km and total saving distance is 6,7%. Total cost has spent in Medan Barat District about Rp.712,000 per day and after using Floyd Warshall method, total cost has been Rp. 664,000 per day and total cost saving 6,7%. Based on the result, it indicates that the route made using Floyd Warshall method produces a better trash hauling route.
Economic Feasibility Analysis of Hydrogen Production from Raw Materials of Oil Palm Empty Fruit Bunches
Authors: Rahmi M S , Taufiq B N , Indah R , Syahputri K , Mangara M T , Wandika A S
Published: September 2019

The potential of hydrogen as a fuel for the future has been discussed as a part of the energy agenda for decades. Many research projects led by academics and engineers are directed by the future use of hydrogen in the energy supply chain for road transport, and power generation for energy storage. Economy base hydrogen is a long period for many countries being sustainable energy system. The policy maker also learn the implementation and challenges an economy change based on carbon doesn’t sustainable to be economy sustainable hydrogen. Challenge in build infrastructure discussed from perspective planning for the economy of hydrogen production feasibility. In this study, the economic feasibility of hydrogen production was calculated from raw oil palm empty fruit bunches in North Sumatra. Assessment of several factors in getting results BEP production value is 175.965 kg with a value of Rp37.684.532.764 NPV, IRR of 13.976%, and PBP during 6 years, 5 months.
Improving Hospital Service Quality Strategy with Servqual and Kano Methods
Authors: Tarigan U P P , Sitepu G A , Budiman I , Sembiring A C , Saragih K P , Zhow H
Published: September 2019

In daily activities, human beings cannot be separated from the services offered by a particular organization, such as the use of public transportation, education, food, health and much more related to daily life. Therefore competition between services is inevitable. Quality is related to customer satisfaction. Customers will be a benchmark for the good or not the quality given by a particular company. Companies can increase customer satisfaction by providing good service of course. Hospital is one of the companies engaged in public health services. To get what the customer wants, the hospital is required to give maximum satisfaction to its customers, but the reality is still often encountered customer dissatisfaction while using hospital services. In addition, based on the results of previous studies, it was found that some attributes of service attributes were still at the level that needed improvement. In addition, based on the results of previous studies, it was found that some attributes of service attributes were still at the level that needed improvement. Corrective actions can be done by the Kano method. The Kano method categorizes the attributes of products or services based on how well the product or service can satisfy customer needs, with service attributes can be divided into several categories.
Priority of Selection Suppliers with Fuzzy ANP COPRAS-G
Authors: Siregar I , Rizkya I , Syahputri K , Sari R M , Anizar  , Ariani F , Pintoro A
Published: September 2019

The company which is engaged in spring bed production is located in Medan city Procurement of raw materials is the main activity in ensuring the clear production. Delivery delayed by suppliers of raw materials affects the clear production and impacts on order delivery to customers. Delivery delay of the company happened in raw materials foam and wire by each supplier with a frequency of 66% from the total delivery made. Therefore, supplier evaluation needed done and the company take an appropriate decision based on the priority suppliers. Integration of Fuzzy Analytical Network Process (FANP) and Complex Proportional Assessment with Grey Theory (COPRAS-G) is used in the evaluation of the supplier where the scale of influence among criteria and assessment of suppliers of the criteria obtained using a questionnaire distributed to five managers to gain weight, weight criteria which is serves as in inputs for priority suppliers. Results priorities foam raw material suppliers are HI, PF, MF, and DCI which is the priority sequence obtained suppliers of wire raw materials supplier are BUWI, AJ, and GGS.
Measurement of Supply Chain Performance in Manufacturing
Authors: Rizkya I , Hidayati J , Syahputri K , Sari R M , Siregar I , Siregar K , Utaminingrum J
Published: September 2019

Supply chain management has been a major component of a company’s strategy to compete each other through the increasing of organizational productivity and profitability. This paper is useful to provide an application of supply chain performance assessment in the manufacturing industry as an effort to increase the company profitability. Performance assessment metrics of supply chain provides information in the position of the company achievement. That condition capable to provide good management by an overview of the company achievements to meet customer demand. There is no measurement of supply chain performance in good condition of the company. Company problem found and finally caused by the company unable to meet demand leads the loss of customer trust. The Performance of Activity (POA) model is capable to describe the real conditions of the company’s supply chain performance. Measure the supply chain performance using POA model. POA model have 7 dimensions of assessment, namely cost, time, capacity, capability, productivity, utilization, and results. By using the performance of activity, there are two dimensions achieved, namely the availability of the company (90.8%) and machine utilization (75,1%). which is a dimension is not achieved well, namely the reliability (86.7%).
Role Analysis: Trust in Mediating Informal Learning towards Customer Behavior to use Electronic Banking
Authors: Akbar Mohammad Aldrin , Yendra  , Nursyamsi Idayanti , Budiman Edy
Published: September 2019

This study aims to analyze the role of trust in mediating informal learning on customer behavior to use electronic banking in one of the cities in Eastern Indonesia. The sampling technique used in this study was purposive sampling. Data was collected by giving questionnaires directly to respondents. The total sample that can be further analyzed is 110 respondents. Data analysis using Structural Equation Modeling - SEM using the AMOS program. The results show that trust is proven to mediate informal learning on customer behavior to use electronic banking. Based on the three findings of this study, it appears that trust can fully mediate the relationship between informal learning and the actual behavior of customers in using electronic banking. Based on the results of this study, the trust variable is very important in predicting customer behavior. Therefore, service providers need to understand customer trust and this information can only be obtained through ordinary research results.
JProbiotic activity of lactic acid bacteria isolated from several commercial fermentation product in Medan, North Sumatera
Authors: Davidson A L , Lase E , Lister I N E , Fachrial E
Published: September 2019

Lactic Acid Bacteria (BAL) are bacteria that have been used to produce food, which is in the manufacture of fermented milk. In addition, LAB can also be used as a probiotic agent. This study was conducted to look at the resistance of antibiotics, acids and bile salts as a criterion as probiotics. Samples were taken from 6 commercial fermentation products containing BAL. The isolation results obtained all samples had a number of BAL 106colonies so that according to the probiotic criteria with the highest number of colonies were Y samples. Test results on 6 types of antibiotics (gentamicin, amoxicillin, ofloxacin, erythromycin, cefotaxime, oxacillin) U samples were resistant to all antibiotics and then product Y. In the test of acid and bile salts, only U samples were taken as the most resistant to antibiotic samples. The test results found that U samples were resistant to acid and bile salts with 100% viability. Keywords: lactic acid bacteria; probiotics; antibiotics; fermented products.22,7.
Weighted knn using grey relational analysis for cross-project defect prediction
Authors: Ulumi DI , Siahaan D
Published: September 2019

Defect prediction plays important roles in detecting vulnerable component within a software. Some researchers have tried to improve the accuracy of software defect prediction so that it helps developer to manage resources (human, cost, and time) better. They focus on building the software defect prediction model only for a specific domain. To our knowledge, research on cross-project domains has not been carried out before. This research developed method to predict software defect for cross-project domains. Thus, the domain contains datasets with different number of features. To extend shorted features in a dataset, the method calculates the missing values. This research employed weighted KNN to fill in the missing value. The refilled datasets were then classified using naive bayes and random forest. This research also conducted a feature selection process to select relevant features for detecting defects by means of a comparative analysis of methods of selection of features. For the experimentation, this research used seven NASA public dataset MDPs. The results show that for imbalance data, naïve bayes combined with information gain (IG) or symmetric uncertainty (SU) feature selection produced the best balance, i.e. 0.4975. It also shows that for balance data, random forest combined with gain ratio (GR) produced the best balance, i.e. 0.7795. In general, the developed method performed relatively alike the previous method, which classify only specific domain, i.e. 0.4975. It even outperformed previous method for dataset PC2, i.e. 0.4033.
Improved Security of Data in Cloud Network to Prevent Detect Key Recovery Attacks Using Node Creation for Authentication
Authors: Putra Adya Zizwan
Published: September 2019

The use of internet in the past decade has increased rapidly people using it for transmission of data saving their works, storing all the private information in a system and transmitting through internet. Due to high usage of internet there is also possibility of losing data by unauthorized access and getting hacked and misuse of data. Previously there was a method used known as kids, but the problem with this method was the method used for generation of key and keeping it secrecy, the attackers could easily get access to the key after black box attack. In this paper the proposed system helps to provide more security and prevents it from attacks and also protect the data stored in the system. The proposed schema can be implemented in hospitals for health care domain, for saving the data of Patience by using cloud storage by using it in the detection system. Many developers and researched have introduced schemes in Machines learning and one of this scheme was key based detection system, But this system required more security to prevent from the attackers, in the proposed module am using cryptographic algorithm for creating secret key and for saving the data and Bowl Fish algorithm to hide the data from the attackers and recover the key from the AES algorithm which is saved in encrypted format which has steps of verification to recover the key and give prevention against unauthorized usage and it provides security from the attackers by saving all the data of patience in a hospital using different domains kept in cloud platform.
Application of C4.5 Algorithm for Cattle Disease Classification
Authors: Indra Evta , Ho Kevin , Arlinanda  , Hakim Ridho , Sitanggang Delima , Sihombing Oloan
Published: September 2019

Data mining is a series of process to gain values such as informations that is manually unknown from a database by mining patterns from the data (with the intention to manipulate data into more useful information that is obtained by extracting data and recognizing important pattern or pulling data from the database). The intend of this research is to process cattle disease cases, which so far no research has been done to produce useful knowledge/science for institutions (Food and Livestock Security Agency) using data mining technique (C4.5 Algorithm). In the future, this research will be used by Food and Livestock Security Agency to counsel rancher in some area. This research will result a decision tree which will also classify rate of cattle disease. Proven by using the C4.5 algorithm, it can speed up the process of classification disease which initially takes about 1-2 months, and after using this application the results can be obtained right away.
Audio steganography applications using auditory features watermarking
Authors: Banjarnahor Jepri , Siregar Saut Dohot , Sihombing Oloan , Turnip Mardi , Purba Windania , Aisyah Siti , Banjarnahor Jaidup
Published: September 2019

Watermarking is a technique for hiding data or information on a digital multimedia (image, sound and video) and is not visible to the ordinary eye and is resistant to digitization (editing media, noising, blurring, etc.). While audio watermark is defined as a technique of hiding data or confidential information into an audio data for “boarding” (audio host), people do not aware of the existence of additional data on the data host. Coding phase is hiding data by exchanging the original phase of the initial segment of the sound signal with the absolute phase of the watermark signal, while maintaining the relative phase between the signal segments using different phase segments of the original signal. When the phase difference between the original signal and the modified signal is small, the difference in sound produced is not detected by human hearing. To recognize ownership of multimedia content, testing is done first by combining the cover and watermark files. Experiment result on audio files shows that audio files successfully compressed on 50% efficiency without reducing the duration of the audio. After compression process, One of our audio sample which size is 3.37MB can be reduce to 1.68MB without reducing the duration of the audio.
Designing a New Employee Acceptance Personality Test Applicat on Using Web-based Edward Personal Preference Schedule
Authors: Sitanggang Delima , Indra Evta , Banjarnahor Jepri , Purba Windania , Turnip Mardi , Girsang Inka Septianingsih , Laia Yonata , gea Asaziduhu
Published: September 2019

The diversity of personality possessed by humans makes one hesitate to explore the work that interests him. The world of psychology has several test tools that can be used to analyze a person’s personality which is the end result of a test that is used to see a person’s personality tendency and what type of work is suitable for the interest, where current state and private companies still use manual tests by making questionnaires or a series of questions which will be given to the object which is employee candidate to study. Then the questionnaire is filled in by each object so that the value is collected and recalculated, by using a manual system an employee will wait a very long time to see the results.To solve this problem, a system is designed to facilitate the analysis of the personality of prospective employees and to place them in the positions or professions. The system was designed using the Edward Personal Preference Schedule method is one of the personality test tools that is able to reveal 15 personalities. Based on the results of the processed data there are 3 types of personality, the first type is a personality with the highest score, namely autonomy with a score of 18, the second type is affiliation with a score of 17, and the third type is domination with a score of 17 so it can be concluded that respondents X were advised to work in military sections such as the TNI.