bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effects of nano-sized montmorillonite on rheological and mechanical properties of natural rubber
Authors: Surya’ I , Khosman H 
Published: January 2020

Abstract
A semi EV curing system was applied for studying the effects of nano-sized montmorillonite on rheological and mechanical properties of natural rubber (NR) composites. The montmorillonite as a nano-sized filler which was added into NR at 2.0, 4.0, 6.0, 8.0 and 10.0 parts per hundred rubber (phr). It was found that the montmorillonite functioned as a co-curing agent and reinforcing filler. It decreased the scorch and cure times of the NR composites. The higher the montmorillonite loading, the shorter the scorch and cure times were. It also increased the torque difference, tensile modulus and hardness but decreased the elongation at break. The tensile strength was improved up to an 8.0 phr. of montmorillonite loading.
Utilization of sensor TGS 821 as hydrogen detection of result water electrolysis process in real time with DAQ on PC
Authors: Suryanto Bambang , Nasution Tulus Ikhsan , Sebayang Kerista , Khanifah Siti 
Published: January 2020

Abstract
The world’s energy needs from year to year, as well as giving a bad impact on the increase in the concentration of greenhouse gases and other pollutants. So, that it becomes a major problem of the world today. Therefore, need to do research to find other renewable energy sources, including the utilization of hydrogen gas. Hydrogen gas can be produced from water electrolysis process. To detect hydrogen gas resulting from the electrolysis process can use sensor TGS 821 is done in real time by using the DAQ is connected to PC. Retrieval data on electrolysis process is performed by variation voltage; apply 9 V, 11 V, 13 V, 14 V, 15 V for the electrolysis using filters. With the hydrogen-based zeolite filter was the ability to increase the power of hydrogen adsorption on the filter through the electrolysis process. The maximum concentration of hydrogen generated from electrolysis process by using a filter for voltage 9 V is 409.34 ppm, for voltage 11 V is 502.25 ppm, for voltage 13 V is 863.12 ppm, for voltage 14 V is 964.11 ppm, for voltage of 15 V is 737.89.
Approach lean service on halal certification service system using cost integrated value stream mapping
Authors: Shalihin Ahmad , Hidayati Juliza 
Published: January 2020

Abstract
Along with the increasing needs of the community will be halal, kosher certification agencies and the clergy Indonesia is required to be able to do the certification, monitoring and handling of halal products which consist of food, beverages and goods for consumption by the public, especially in this case is the public Moslem. The demand of halal products, especially in the province of north Sumatra is very high and the potential for halal products market as an area with a lot of resources and a high number of applicants who want to get the halal certification of halal assurance of the clergy Indonesia. But in its application, the length of the certification process becomes a major problem because it lost the opportunity to gain new customers. Lean service used to eliminate wasteful activities or no value-added activities of all the halal certification process flow, thereby reducing lead time and activities that do not provide added value. Having obtained the conditions for companies using value stream mapping, classification activity indicates that the Value Added Activity at 18% with the Non-Value Added Activity by 82%. The result of the lengthy process of identifying root causes of the highest certification by using Root Cause Analysis and FMEA found is awaiting action. This study recommends a design of new business processes by reducing from 30 events to 28 events and reduces processing time from 92 days to 36 days.
A method for aseptic culture of bud explants pogestemon cablin benth Var Tapak Tuan, Aceh, Indonesia
Authors: Sufriadi Elly , Aisyah Yuliani , Harahap Fauziah , Fernando Yuliana , Mardina Vivi 
Published: January 2020

Abstract
Pogostemon cablin Benth var Tapak Tuan, Aceh, Indonesia is a plant herb potentially to be developing with culture method. However, culture of this cultivar (stem and leave of bud0 explants sampled from outdoor trees is sometimes challenges due to contamination not overcome by standard surface-sterilization. An Improve method, involving a 5-minute immersion of explants in 5% (v/v) detergent, 1% fungicide and bactericide, 5% NaClO and 0.5% antibioticswhich does not interfere with normal explant and callus development, is described in detail.
Isolation and identification of pathogen fungi in the varieties of local rice, Aceh-Indonesia
Authors: Fitriani  , Mardina Vivi , Fadhliani  , Baiduri Nadia 
Published: January 2020

Abstract
Aceh’s local rice is one of the plasma nutfah’s wealth in Indonesia. However, the availability and awareness of the people in Aceh to utilize the quality seed of Aceh’s rice are still very low due to pathogenic fungi that infected the seeds. The objective of this study is to identify the type of pathogenic fungi that carried out by the seeds of Aceh’s rice. A Completely Randomized Design (CRD) consisting of the four varieties local of Aceh was designed with the parameter including the present pathogens that attack the rice seed and germination. The four varieties Aceh’s seed namely: Sigupai variety (v1), Cantek maneh variety (v2), Cantek kuning variety (v3) dan Room kuning varietiy (v4). Data were analysed using ANOVA at 5% significant level and continued with the DMRT. The Results summarized that the Sigupai variety (v1) is the best low percentage of germination, approximately 45%, followed by room kuning (48.3%), maneh (56.7%), and cantek kuning (58.7%). These were caused by the pathogenic attacks which carried out in the form of Aspergilus sp and Fusarium sp.
Passion fruit agro-industry supply chain performance assessment in North Sumatra
Authors: Kodrat Kimberly Febrina , Sinulingga Sukaria , Napitupulu Humala , Hadiguna Rika Ampuh 
Published: January 2020

Abstract
In the agro-industry sector, supply chain management activities such as the procurement of raw materials, processing, warehousing, distribution, and transportation networks are of utmost importance. Agricultural commodities are perishable, seasonal, varying, and bulky in nature which cause difficulties in its management compared to non-agricultural products. Supply chain performance is an indicator of the success of a company. Therefore its assessment is needed to control and determine the performance feasibility of the company. This study aims at assessing the performance of the passion fruit syrup agro-industry supply chain in North Sumatra. The performance is assessed using SCOR and AHP models. The results show that the three performance assessment matrices with the highest weight are processing costs (0.165), delivery accuracy (0.146), and perfect goods condition (0.122). The supply chain performance was categorized as average (78.69%).
B3-Medical waste management Fas Yankes Bogor district health office in 2018
Authors: Rajagukguk Jenni Ria 
Published: January 2020

Abstract
Health service facility is a device and / or place used to carry out health service efforts in promotive, preventive, curative, and rehabilitative that carried out by the Central Government, Regional Government and / or the community. Based on the regulation of Indonesia Republic Number: 47 of 2016 concerning Health Service Facilities in article 4 that the types of Health Service Facilities as referred to in article 3 (Health Service Facilities provide health services in the form of individual health services; and / or public health services) consist of independent practice sites health workers, public health centers, clinics, hospitals, pharmacies, blood transfusion units, health laboratories, optics, medical services for legal purposes and traditional health care facilities.Likewise, based on PP No.47 of 2016 which is about the implementation of independent practices of health workers and traditional health service facilities. In this case the government gives the widest possible permits to health workers as long as they fulfill the requirements, Government and Private health facilities in Bogor Regency in 2016. It shows that there will be potential pollution of health facilities waste, if it is reviewed according to Minister of Health Regulation 1204 in of 2015, evaluating the condition of B3-Medical waste management from health facilities and providing policy for service health for managers of B3-Medical Waste in Health Facilities. And the research method is a theoretical research method with the aim of knowing and running the management of B3-Medical waste FasYanKes in Bogor. The results achieved are the process of managing B3-Medical waste from in 4 regions 42 Subdistricts and government hospitals and private hospitals, clinics and others more to management in Bogor district basically has the same process that is from the reduction / sorting of medical and non-medical waste, sorting, transporting waste to polling stations, processing and burial / stockpiling are stored at TPS until full, then the final process of solid medical treatment is carried out through combustion using an incinerator and overall the process of Medical-B3 waste management in Fasyankeas in Bogor Regency is not yet in accordance with the provisions, namely Environment and Forestry Candy Number: P.56 / MenLHK-Setjen / 2015, namely following the procedures and technical requirements for the Management of Hazardous and Toxic Waste from Health Care Facilities 2004. The problem is how to manage B3-Medical Waste according to Minister of Environment Regulation No. 56
Analysis of the effect early cluster centre points on the combination of k-means algorithms and sum of squared error on k centroid
Authors: Selvida D , Zarlis M , Situmorang Z 
Published: January 2020

Abstract
K-Means clustering is a clustering algorithm based on a partition with data only entered into one grub K, the algorithm determines the number of grub at the beginning and defines the set of K centroid. The initial determination of the cluster center is very influential on the results of the clustering process in determining the quality of clustering. The results of better clustering are often obtained after several trials. Sum of Squared Error (SSE) is a representation of homogeneity or uniformity within a cluster. In this study, the Sum of Squared Error (SSE) was used as an approach to determine the center point of the initial cluster of the K-Means algorithm. Tests were carried out on 2 datasets and the number of centroids 2,3,4,5,6,7,8, and 9 obtained values of centroids 3 and 4 in iris data had better number of iterations using a combination of K-Means and Sum of Squared Error ( SSE). These results prove that the grouping with the method of determining the cluster center starting with the K-Means algorithm is based on the minimum Sum of Squared Error value that can improve clustering results and increase the value of Sum of Squared Error (SSE), compared to conventional cluster center points.
Comparison of the social network weight measurements
Authors: Nasution Mahyuddin K M , Mohd Noah Shahrul Azman 
Published: January 2020

Abstract
To extract social networks from the information sources, it is necessary to measure the similarities. There are several measurements that can become application to form a social network based on information sources. On the other side, various the information sources with various conditions and are not homogeneous, but it is possible to cluster them into a homogeneous form. However, measurement about it require proof. To produce the proof, a comparison of results from various measurements gives one of the answers.
Detection of tapping via wifi
Authors: Sianipar Baringin , Zarlis Muhammad , Nasution Benny B 
Published: January 2020

Abstract
The need for cheap and efficient communication network makes wireless one that is in demand by many users to the need access information from the internet. Because wireless network has become one of the communication tools that have been used by many people who are mobile, but the techniques used to protect the security of user data is not completely secure. The steps performed in this study, the first is to scan the wireless signals in the study site using Wi-Fi Scanner tools designed by the author using Visual Studio 2013. Then do security testing against wireless network, namely through the process Scan MAC (Media Access Control) SSID (Service Set Identifier), Frequency, and encryption used in access point that the existence of bugs can be known.
Implementation gamification concept on task management system based on web
Authors: Mufaqih Moh Sukron , Kaburuan Emil R. , Wang Gunawan 
Published: January 2020

Abstract
Task management is the process of managing tasks through its life cycle. This involves planning, testing, tracking and reporting. Task management can help achieve individual goals, individual groups collaborate and share knowledge to achieve common goals. [1] Tasks are also distinguished by complexity, from low to high. Task management can form part of project management and process management for efficient workflows within an organization. Project managers who adhere to task-oriented management have a detailed and up-to-date project schedule, and a good team directs members and advances the project. [2] At present, the Task management system is growing along with the rapid advances in technology, so that anyone can access wherever he is. However, the majority of the current Task management system is not able to attract the attention and interest of its users. The concept of gamification will be applied to the ask management system so that work management is more organized, interesting and fun. This gamified system design will use the Marczewski’s Gamification Framework. Framework that has user types with the needs of learning and self-development. Game mechanics in this user types such as levels, challenges, and rewards can support gamified system users in achieving goals. The tests that have been conducted show the success in applying the Marczewski framework to the functional needs of users.
Classification of treatment tuberculosis history based on machine learning techniques
Authors: Darnila Eva , Ula Mutamminul , Mauliza  , Pahendra Iwan , Ermatita  
Published: January 2020

Abstract
An important step in data Tuberculosis analysis is data exploration and representation. Tuberculosis treatment is crucial to protect the patients and it can lead to death in untreated in countries with low income. In this case, we use the machine learning technique by using Decision Tree and Random Forest for classification the tuberculosis to analysis and represented based on the treatment history. We use Tuberculosis dataset which employed from Province Aceh, Indonesia. The result indicated the performance of the designed arrangement was successful and could be used in Tuberculosis treatment analysis based on the histories in Aceh Utara and Lhoksumawe.
Analysis of backpropagation neural neural network algorithm on student ability based cognitive aspects
Authors: Izhari Fahmi , Zarlis Muhammad , Sutarman  
Published: January 2020

Abstract
Back propagation is one of the supervised learning and multi-layered training program and uses errors during the process of changing the weight value in the backward process as well as the forward propagation. In the method for predicting cognitive abilities backpropagation the first step is to set the input neuron number, the number of neurons that are hidden, and the number of output neurons. The number of neurons used in the program is 6 neurons consisting of cognitive criteria, 6 hidden neuron layers, and 2 neuron outputs. The highest level of accuracy is in the binary sigmoid and bipolar sigmoid activation functions at the 64th epoch with the accuracy of each function of 82.93% +/- 37.63% and 85.37% +/- 35.34%. The smallest root mean squared error value was found in binary sigmoid of 0.266 with a tolerance of +/- 0.258 on the 100th epoch with an accuracy of 80.49% while for the sigmoid bipolar activation function the smallest root mean squared error value was obtained at the epoch 500 of 0.282 with tolerance +/- 0.353.
Analysis of classification and Naïve Bayes algorithm k-nearest neighbor in data mining
Authors: Sinaga Lotar Mateus , Sawaluddin  , Suwilo Saib 
Published: January 2020

Abstract
Naïve Bayes is a prediction method that contains a simple probabilistic that is based on the application of the Bayes theorem (Bayes rule) with the assumption that the dependence is strong. K-Nearest Neighbor (K-NN) is a group of instance-based learning, K-NN is also a lazy learning technique by searching groups of k objects in training data that are closest (similar) to objects on new data or testing data. Classification is a technique in Data mining to form a model from a predetermined data set. Data mining techniques are the choices that can be overcome in solving this problem. The results of the two different classification algorithms result in the discovery of better and more efficient algorithms for future use. It is recommended to use different datasets to analyze comparisons of naïve bayes and K-NN algorithms. the writer formulates the problem so that the research becomes more directed. The formulation of the problem in this study is to find the value of accuracy in the Naïve Bayes and KNN algorithms in classifying data.
Performance analysis of combination of fuzzy analytic hierarchy process (FAHP) algorithms with preference ranking organization method for enrichment evaluation algorithm (PROMETHEE II) in the ranking process to determine the increase in employee class
Authors: Irfan Ramadhan M. , Zarlis Muhammad , Nasution Benny Benyamin 
Published: January 2020

Abstract
In this study conducted a Performance Analysis of the Combination of Fuzzy Analytic Hierarchy Process (FAHP) Algorithm with the Preference Ranking Organization Method for Enrichment Evaluation algorithm (PROMETHEE II) in the ranking process to determine the increase in employee groups. From the results of the experiment the Performance Analysis of Fuzzy Analytic Hierarchy Process (FAHP) Algorithm with the Preference Ranking Organization Method for Enrichment Evaluation algorithm (PROMETHEE II) in the ranking process to determine the increase in the employee class obtained by the average employee considered at 62.31%. Seeing the percentage value considered with the Promethee algorithm (45.33%) lower than the Fuzzy AHP algorithm (79.30%), it can be said that the Combination Fuzzy AHP algorithm with Promethee is more selective in the weighting and ranking process.
Reducing link quality impact to encrypted packets by compressing the transmitted data
Authors: Candra Rudi A , Ilham Dirja Nur , Hardisal  , Sipahutar E , Fardiansyah  , Suherman  
Published: January 2020

Abstract
The encrypted traffics are sensitive to losses, while wireless link in prone to error. Although solutions have been proposed in each TCP/IP stack layer, error or losses is always exist. In order to reduce losses of part(s) of encrypted data, bytes or packets should be as many as possible received by the receiver. This paper examines data compression impact in reducing losses of encrypted data. NS-2 simulator is employed to evaluate the study by using the 802.11 radio link. Simulations show that the 3DES decryption rate increases when compression applied. Packet losses can be reduced about 0.32% and 0.54% for TCP and UDP subsequently. The successful encrypted data rises in average 0.3% and 1.3% for both TCP and UDP.
Machine learning approach for lecture’s performance based on supervision and job satisfaction
Authors: Yanny Anda , Sihite Anggiat Hatuaon , Hutabarat Sumiaty Adelina , Siburian Henry Kristian , Parinduri Ikhsan , Hutagalung Siti Nurhabibah 
Published: January 2020

Abstract
The objectives of the research were to discover the correlation of supervision, performance and job satisfaction. Population consisted of 74 correspondents were taken as the sample through cluster random sampling technique. The results of research concluded, there was significantly positive correlation between supervision and job satisfaction as shown by coefficient correlation 3.74.Job satisfaction provided by the institution made Lecturers feel dissatisfied. Job satisfaction is reviewed in terms of income, respect, comfort in teaching. Partially positive and significant supervision of the performance of lecturers at the College of Computer Information Management in Medan Budi Darma. Partially positive and significant satisfaction towards the performance of lecturers of the Computer Information Management College in Medan Budi Darma.
Analysis of algorithm support vector machine learning and k-nearest neighbor in data accuracy
Authors: Nuranisah  , Efendi Syahril , Sihombing Poltak 
Published: January 2020

Abstract
K-Nearest Neighbor is a method of lazy learning method which is a group of instances-based learning. K-NN searches by searching for groups of objects in the training data that are closest to the object on new data or testing data. Support Vector Machine is a learning machine method that works with the aim of finding the best hyperplane that separates two classes in input space. School Achievement is an achievement obtained by serious learning and discipline. The category of outstanding students is to get a good average score and not have an attendance list, especially Absent (A) and a list of late attendance at school can be classified to obtain information on the accuracy of the data being tested. In the testing process both methods obtained good accuracy results between the two methods, namely K-NN obtained an accuracy of 88.52% while SVM is 91.07%.
Comparation of distributed cache and centralized cache on web proxy
Authors: Parulian  , Zarlis Muhammad , BenyaminNasution Benny 
Published: January 2020

Abstract

Caching is an object storage mechanism from a web page that has been accessed. With caching, bandwidth usage will be more efficient and the time to access a web page is getting faster. In caching there are 2 techniques used, namely centralized cache and distributed cache. The purpose of this study is to build a distributed cache system that supports Availability, Reliability, and Scalability. This system will overcome various problems found in the centralized cache, such as single point of failure, unreliable, and not scalable. With the availability of Availability, the system will avoid the problem of single point of failure by implementing a failover mechanism. For the Reliability system will still hold (reliable) accept requests from users, because some proxy servers (parent proxy) will serve requests from users. For Scalability, the system can add proxy servers easily and quickly. To develop the system, the developer takes several approaches such as basic learning about proxy servers and related theories. Next is an analysis to build a system that supports Availability, Reliability, and Scalability. Then the analysis phase is implementedand testing of the system is built. Tests carried out are testing centralized cache systems and testing distributed cache systems. The test results will then be compared to see the performance comparison between centralized cache and distributed cache.