bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fluorescence Spectra Measurement of Essential Oils
Authors: Perangin-angin Bisman , Tarigan Kerista , Tamba Takdir 
Published: September 2019

Abstract
Identifying materials using fluorescence spectroscopy methods have several advantages including fast, accurate, and relatively low cost. This method is used not only to identify the material but also to detect whether the material is still pure or not. The purity of patchouli oil has been identified by observing and analyzing the fluorescence spectrum (λabs = 509 nm, λeks = 542nm). The observations were made for pure and mixed (impure) patchouli oil, respectively. By comparing the two data, the patchouli oil is distinguished and the contained mixture is determined. The measurement results show that the mixture oil spectrum is indicated by a shift in the maximum wavelength (λem, max) of fluorescence emissions. Nevertheless, the intensity of the fluorescence beam is change.
Floor Slab Analysis (Case Study: One Residence Apartment Batam Center)
Authors: Astutik Yayuk Setyaning 
Published: September 2019

Abstract
Reinforced concrete slab are widely used in civil buildings, including as building floors, roof floors, bridge floors and dock floors. The load acting on the slab is generally calculated against gravitational loads. This study aims to analyse floor slab in One Residence Batam Center Apartment Construction Project. The moment method is used to predict the magnitude of frame and shrinkage values that refer to 2002 of SNI. Loading is carried out from dead loads and live loads with a two-way reinforcement system. Reinforcement is done using steel with a diameter of 10 mm. So that the minimum area is 313 mm square with a distance of 250 mm and is in the safe category. From the calculation results obtained the concrete elastic modulus obtained by 250 MPa with a reinforcement ratio of 0.0025. Checking the time dependency factor for dead loads is carried out within 3 months, 6 months, 12 months and more than 5 years. Long-term deflection due to frame and shrinkage is still in the safe category.
Improve productivity in production part using marvin e mundel method
Authors: Tampubolon J , Sembiring A C , angin R Perangin 
Published: September 2019

Abstract
Competition between companies is very high resulting in companies having to implement production plans so that productivity does not decrease. This is the case with palm oil mills which often experience engine failure resulting in reduced productivity in the company. To examine the problem, it is necessary to measure productivity in the company and design proposals that must be done by the company. In the past data, the company experienced a total productivity index of 71.77% so it is necessary to do a design of engine maintenance proposals so that the time of stagnation can be reduced and the productivity index can increase. After the productivity index is implemented, the lowest total productivity index increases to 161.97% after doing maintenance design, the productivity of the company can increase by 50%.
Determining credit term strategy of textile industry
Authors: Aloina Grace , Sembiring Anita Christine , Budiman Irwan , Pebrina Tarigan Uni Pratama , Saragih Koko Pratama , Siahaan Uke 
Published: September 2019

Abstract
Textile industry is an industry that produces the yarn into fabric with 100% raw material of synthetic polyester that is recycled. This research is conducted based on the issue in company. The decreasing in sales at retailer sector is the concern of the company. The analysis of the problem is by doing survey marketing mix effect (7P). The result of this survey shows the factors such as products, people, processes, and the price are significant in influencing the buying decision of the products. Components on the pricing strategy that dominance affected is credit policies. For that, the authors propose a strategy in credit term policy. An analysis is conducted with a comparison between the previous policies of the proposed credit policy. The method used is Sartoris-Hill Model referring to the feasibility NPV. This feasibility of this proposal requires working capital amount Rp 11,945,074,622.
Expert System Diagnosis Corn Pests And Diseases Using Certainty Factor Method
Authors: Sulindawaty  , Zarlis Muhammad , Situmorang Zakarias , Sihotang Hengki Tamando 
Published: September 2019

Abstract
The development of technology has been very significant, not only in the fields of information, industry, education, but in agriculture. Therefore technological sophistication is also utilized by corn farmers to obtain information about corn crops. Corn is included in plantation commodities in Indonesia. However, in corn cultivation there are various problems associated with the disease that is likely to attack the plant. Therefore, the authors designed the expert system of corn disease diagnosis using certainty method. This system will analyze based on symptoms - symptoms that are in the input by the user so that in obtaining a result of disease identification on corn in the name of the disease, the cause of the disease, the percentage value and how to handle it. This expert system is developed by using the visual basic application and Microsoft Access database with Certainty Factor method to measure the value of certainty of a hypothesis against a fact.
Analysis and Design Information System Development of IT Care Application in Astra Credit Company
Authors: Sari Y , Egeten A E , Suherman R E , Fakhri H R 
Published: September 2019

Abstract
Business competition that keep intensify in automotive financing services provider field encourages all companies involved to continue improving themselves in order to competing with other companies, one of the ways is to utilize Information Technology (IT). Astra Credit Company (ACC) is one of automotive financing service provider which has already applied IT. As a big company, the large scale of the utilization of IT in ACC also raised the need for managing the IT Helpdesk. Currently ACC already uses an application to support IT Helpdesk business process called IT Care. But as the development of business process and the changing needs of the company, the system is no longer able to support business process needs. Based on those needs this research was conducted to develop system design that can meet current business needs. Design and analysis process done through System Development Life Cycle methodology with Object Oriented Analysis and Design approach using Unified Model Language diagram. System analysist and design activities developed several processes i.e. Chart Of Account management based with time estimation, ticket submission, ticket assignment with consideration of staff balancing work load, completion ticket based on priority, also reporting of IT staff performance and ticket completion. Conclusions from the results of the analysis and design of IT Care systems are a proposed IT Care system design that is expected to overcome the problems in the existing IT Care system.
Future Electronics Payment System Model
Authors: Selfira  , Abdillah Gabriel , Harahap Wintari , Muda Iskandar 
Published: September 2019

AbstractThis paper aims to know information about the differences of Future Electronics Payment System Model. We describe various systems of electronic payment services, security issues related to them and the future of the mobile payment mode and overview of e-money. Payment systems using e-money is a process of modernization of the payment system that is safe, convenient, and easy which has been developed in several countries in the world. Electronic Money is essentially cashless money. Its function is a non cash payment instrument to merchant not to the issuer of electronic money. The data used is secondary data form Bank of Indonesia Report in 2011-2017. This type of paper is comparative method. Data analysis used is non parametric of Analysis of Variance (ANOVA). The findings show that therea are significant differences for each type of payment model. This is indicated that there are significant differences for each type of payment model and the payment system using e-money is predicted will grow up fo the future. Payment systems using e-money is a process of modernization of the payment system that is safe, convenient, and easy which has been developed in several countries in the world.
Book data grouping in libraries using the k-means clustering method
Authors: Tamba Saut Parsaoran , Batubara M Diarmansyah , Purba Windania , Sihombing Maria , Mulia Siregar Victor Marudut , Banjarnahor Jaidup 
Published: September 2019

Abstract
Clustering is a process of sorting out a data set to become separate cluster groups and each has similarities, and aims to group the data into one cluster. This research aims to group the book information which is contained in Universitas Prima Indonesia, by using K-means clustering method. On this K-means clustering algorithm, the variables used as input are : NIM, Name, Book Title and Author. The output produced consists of 3 clusters, those are (C1) the most frequently borrowed book, (C2) book that is often borrowed, and (C3) book that is rarely borrowed. With the use of this K-means Clustering method, the final result obtained consists of member of cluster 1 as many as 19 members, member of cluster 2 as many as 22 members, and member of cluster 3 as many as 19 members. The information of grouping this book data can be used by the library. In the case of the selection of books that must be added to the library and to minimize the books that are rarely borrowed so as not to cause a buildup of books that are rarely borrowed, so there is a space for books to be added into the library.
Determining Outstanding Employee Using Simple Multi-Attribute Rating Technique Method
Authors: Sihombing Oloan , Hanoso Giovani Ruth , Laia Yonata , Maulana Halim , Tamba Saut Parsaoran , Nababan Marlince N.K , Indra Evta , Batubara M Diarmansyah , Zendrato Niskarto 
Published: September 2019

Abstract
Employees are one of the resources used as a means of movement in promoting a company. Employee performance is highly influential on the profits obtained by the company. Therefore, to stimulate employee performance in selecting outstanding employees each period by providing additional bonuses or salaries for selected employees. However, because the process of evaluating and selecting outstanding employees carried out by managers of Human Resource Development (HRD) still uses a conventional system and takes a lot of time, so a decision support system is needed to evaluate the performance of HRD managers to be more effective and efficient while saving time and energy compared to the current system. For this reason, the author proposes a decision support system and was used to determine outstanding employee by using the simple multi-attribute rating technique (SMART) method. The Decision Support System Application applies the SMART method to help decision maker to determinate the outstanding employee and based on the table above, it was concluded that the employee recommended as an outstanding employee is employee C with the highest final score of 66.20.
A review on opportunities of thermionic regeneration system in hybrid electric vehicle
Authors: Kodihal K , Sagar A 
Published: September 2019

Abstract
A hybrid electric vehicle utilizes power from both engine and battery to drive the wheels. Hybrid electric vehicle architectures are micro, mild, full and plug in hybrids. This review covers recent optimization in technologies and systems of hybrid electric vehicle. It is evident from the literature that utilizing waste energy such as braking losses for battery charging is more effective for micro and mild hybrid electric vehicle. The increase in electrification increases the demand of alternate battery charging methods in vehicle. Therefore, the opportunity lies in recovering waste heat of engine for battery charging. This could be done by direct energy converters such as thermoelectric and thermionic converters. The paper comprehensively studies these direct energy converters on the basis of their working principle and conversion efficiencies. The results from this study show that thermionic energy conversion stands better for hybrid electric vehicles as compared with other direct energy conversion methods.
Research of Injection Molding Parameters with Acrylonitrile Butadiene Styrene Composition Recycled Against Mechanical Properties
Authors: Wibowo E A , Sukarnoto T , Wibowo Y T 
Published: September 2019

Abstract
Injection molding is the most common method for mass manufacturing plastics product. The process is influenced by injection parameters, i.e.: melting temperature, injection pressure and holding pressure. The recycled material of ABS combined with pure material on 10%:90%, 20%:80% and 30%:70%. Both can affect the mechanical properties as evidenced by tensile and impact test. The ability to resist the load of tensile is obtained from the yield point, whereas the ability to resist the load of the impact is obtained from the potential energy that be able to be received. Based on the best parameters, the optimal value is generated from 10% ABS recycled, i.e. 45,87 [J] for impact strength and 34,08 [N/mm2] for tensile strength, then the optimal value is generated from 20% ABS recycled, i.e. 45,40 [J] for impact strength and 34,40 [N/mm2] for tensile strength, and then the optimal value is generated from 30% ABS recycled, i.e. 45,17 [J] for impact strength and 34,80 [N/mm2] for tensile strength.
Effects of epoxidised natural rubbers on cure characteristics and crosslink density of silica-filled natural rubber composite
Authors: Surya I , Alfian Z 
Published: September 2019

Abstract
The effect of two grades of epoxidised natural rubbers (ENR 25 and ENR 50), having 25 and 50 mol of epoxidation, on crosslink density and cure characteristics of silica-filled natural rubber (NR) composites were investigated using a semi-efficient vulcanisation system. The ENRs were incorporated separately into the composites at 5.0, 10.0, 15.0, 20.0 and 25.0 parts per hundred rubber (phr). An investigation was carried out to examine the effects of the ENRs on cure characteristics and crosslink density of the silica-filled NR composites. Results revealed that both ENR 25 and ENR 50 functioned as curatives and compatibilizers. They increased the scorch time, cure time, torque difference and crosslink density. The higher the ENRs loadings; the higher were the scorch, cure times, torque difference and crosslink density. At a similar loading, ENR 50 exhibited a more pronounced curative and compatibilization effects than ENR 25.
Development photocatalyst reduce graphene oxide (RGO) composited with (Zn,Ni)(O,S) for photocatalytic hydrogen production
Authors: Gultom Noto Susanto , Abdullah Hairus , Kuo Dong-Hau , Simamora Pintor , Sirait Makmur 
Published: September 2019

Abstract
Hydrogen is being considered as the green and renewable fuels in the near future to replace the high global energy demands on fossil fuels. In this work, the photocatalyst reduce graphene oxide (RGO) composited (ZnNi)(O,S) with different amount of RGO has been developed for photocatalytic hydrogen production. X-ray did not show any characteristic peak of RGO due to a little amount in nanocomposite catalyst. However, elemental mapping clearly exhibited the presence of carbon as the element constituent of RGO. Based on the EIS result, RGO could decrease the charge transfer resistance to let the photogenerated electrons-holes easily migrate on the surface of catalyst for executing oxidation and reduction reactions. The optimum amount of RGO was 5 mg to provide the highest hydrogen production rate of 8100 μmol/gh. The enhanced hydrogen production rate was investigated and explained in this paper.
Analysis of PROMETHEE II Method on Selection of Lecturer Community Service Grant Proposals
Authors: Ningsih Sri Rahayu , Wulansari Riyani , Hartama Dedy , Windarto Agus Perdana , Wanto Anjar 
Published: September 2019

Abstract
This study aims to determine the recipient lecturers of the service to the internal community at STIKOM Tunas Bangsa. The data were obtained from the archive of the Institute for Research and Service to the Tunas Bangsa STIKOM Community in 2017 and conducted interviews with the Chairperson of the Institute. The alternatives used are 6, namely Situation Analysis (C1), Partner prioritization problems and solutions offered (C2), output targets (C3), accuracy of approach methods to overcome problems, activity plans, partner participation contributions (C4), college feasibility (C5), the cost of work for the feasibility of the proposed cost (C6). The method used in the research of the PROMETHEE II Method. From the results of the study obtained 5 alternatives selected lecturers who received internal service grants, namely: A1 (Net flow 13.79), A5 (Net flow 7.23), A2 (Net flow 7.16), A6 (Net flow 6.29), A3 (Net flow 2.08) of 9 Alternatives. The implementation of the PROMETHEE II method is expected to provide an objective assessment and to compare the results of the reviewer’s assessment in determining the recipients of internal service grants. So that it is expected that the decisions given can maintain the quality and quality of the assessment.
The Analysis of the ELECTREE II Algorithm in Determining the Doubts of the Community Doing Business Online
Authors: Alkhairi Putrama , Purba Ledis Pebriani , Eryzha Anggy , Windarto Agus Perdana , Wanto Anjar 
Published: September 2019

AbstractOnline businesses are no stranger to the community where online businesses are increasingly in demand by the public because of the various supporting factors in which the public does not need to plunge into places to buy the desired items simply through online media but the lively online media in the community cannot be separated from various frauds. Other business people are still many who are reluctant to switch to online business that is inseparable from various factors or reasons they still stick with the old business method. It is very easy to play online recently in various circles of students and even housewives, can be used as additional capital. To find out what factors are the main reason people still hesitate to do business with online methods realized by the application of a decision support system determines the doubts of the online business community with the ELECTRE II method. It is hoped that research can find factors that cause public doubt in online business, so that later the output of this system can be a good evaluation material for the community in doing business. ELECTRE II method can be applied in the case of determining the failure factor of students in the main subject of community doubt in online business by considering several alternatives and criteria. Which alternatives are Cost Expenses (A1), Faced Risks (A2), and Difficult / Doubt to start the business to be run (A3). Data taken from the questionnaire respondents to STIKOM Tunas Bangsa Pematangsiantar students. From the results of this study, it was concluded that (A1) Cost Expenses with a value of 1.0238. For further research, criteria and alternatives can be added, so that the data entered is more varied. In addition, the ELECTRE II method can be compared with other methods. Research as a recommendation for business people who want to enter the world of online business.
Predictions of World Population Life Expectancy Using Cyclical Order Weight / Bias
Authors: Zamzamy Sormin Mhd. Khafiroh , Sihombing Poltak , Amalia A. , Wanto Anjar , Hartama Dedy , Chan Defri Muhammad 
Published: September 2019

Abstract
Life expectancy is the average number of years of life that is still lived by someone who has reached a certain age. Life Expectancy is a tool to evaluate government performance in improving the welfare of the population in general and improving health status in particular. The purpose of this paper is to estimate the life expectancy of the world population so that the government has a benchmark in determining policies to further improve the health and health of the people in their respective countries. The estimation stated in this paper will use the Cyclical Order Weight Neural Network method. The data used in this paper is the number of world population expectations. Data sources come from the United Nations: “World Population Prospect: The 2010 Revision Population Database”. The results of this study are expected to be a reference for the governments of each country to pay more attention to the level of health and welfare of its population so that the life expectancy of the population will be higher. This study uses 5 architectural models. Of these 5 models, the best architectural model is 3-5-10-1 with an accuracy of 97% and an MSE value of 0,0008358919.
Increase Security of IoT Devices Using Multiple One Time Password
Authors: Zendrato Niskarto , Zarlis M , Efendi Syahril , Barus E S , Sulindawaty  , Fahmi Hasanul 
Published: September 2019

Abstract
Lately more IoT use of devices both used at home, disaster prone, hospitals, highways and government agencies and many other places that use IoT device for data acquisition in realtime therefore the authors want to examine the security of IoT devices that is increasingly being used by utilizing OTP codes sent by smartphone devices or GSM modules to keep IOT devices from people who want to exploit the IoT device.
An Optimal Decision Model to Determine the Location of Hubs in a Network of Communication
Authors: Rakhmawati Fibri , Suwilo Saib , Sutarman  , Zarlis M. 
Published: September 2019

Abstract
The hub location, regarded as a special variant of facility location problem. can be defined as an assignment problem of locating hubs and assigning the terminal nodes to these hubs. The objective is to minimize the cost of hub installation and the cost of routing the traffic in the communication network. There may also be capacity restrictions on the amount of traffic that can transit by hubs. This paper discusses how to model the polyhedral properties of the problems and develop a feasible neighbourhood search method to solve the model.
The extended nested-error regression model with penalized spline function for estimation under informative sampling
Authors: Chytrasari A N R , Kartiko Sri Haryatmi , Danardono  
Published: September 2019

Abstract
Model-based estimates have been developed in statistics. Often, the statisticians use the data that obtained through complex sampling designs for estimation. If the probability of inclusion in the sampling design is informative, then the informativeness of sampling must be taken into account in the estimation process. We extended the nested error regression model at the unit level by adding the probability of inclusion as a covariate in the model but with an unknown functional form to reduce the informativeness effect. This extended part in the model is then approached using a penalized spline function. In the mixed model framework, we derived the EBLUP estimator for the mean areas of population. A simulation is given to applying this approach by using the first order of the p-spline function. The RMSPE value and the average absolute bias value obtained through the use of the bootstrap method then compared with that results from the approach using the nested error regression model.