bluuebunny/crossref_metadata_2025 huggingface dataset:
Package Placement Application Based on Location Tracking on Android Platform
Authors: El Islamy Ibnu Reza , Denzy  , Marsela Riko , Filanno Rio , Sitanggang Delima , Pasaribu Hendra , Turnip Mardi
Published: September 2019

JNE has a pickup service program to pick up a package of loyal online shop customers. This system still has limitations in terms of interaction with customers and JNE customer service. This causes less than the maximum number of customers or partners to get better service. Based on these problems starting with the manufacture of input-output design with the tracking location method will facilitate customers in the package pick-up process. This research will produce a package pickup application on the Android platform that is created using the Java programming language and uses the MySQL database so that JNE can do its business activities in a shorter and timely manner. With the use of this application can cause process time savings reaching package pick-up more efficiently, this application can be a better substitute for the previous system.
The effect of information technology, quality of accounting information and understanding of students on accounting software users
Authors: Rahmi Namira Ufrida , Sari Widya , Wulandari Bayu
Published: September 2019

This study aims to determine and analyze the influence of information technology, information quality and accounting understanding of the satisfaction of accounting software users. Accounting software who the object of research is Accurate Accounting, which was studied in computerized accounting courses. This study was conducted in the Accounting Study Program at the Faculty of Economics, Universitas Prima Indonesia, which at the time of this research occupied the fifth semester with 290 students as respondents. The method of data analysis in this study is to use the SmartPls program version 3 by calculating Pls-algorithm, bootstrapping and blindfolding. Based on the results of the study, it is known that information technology, information quality, and accounting understanding have a significant effect on the satisfaction of users of accounting software and the coefficient of determination of this research model is 53.3%.
Synthesis and Characterization of Bacterial Nanocellulose from Banana Peel for Water Filtration Membrane Application
Authors: Sijabat Edwin K , Nuruddin Ahmad , Aditiawati Pingkan , Purwasasmita Bambang Sunendar
Published: September 2019

This research reports the result obtained from the synthesis and characterization of Bacterial Nano Cellulose (BNC) from Nangka banana peel (Musa sp L.) media for water filtration membrane application. The BNC synthesis is successfully achieved under the condition of banana peel and water ratio of 1:3, bacterial nutrition : Glucose 10% (w/v), Ammonium Sulphate (NH4)2SO4 1% (w/v), pH: 4, and amount of starter: 15% (w/v). The duration of fermentation is 7 days. The water content obtained in BNC banana peel is 86,59%. The Scanning Electron Microscopy (SEM) analysis shows the resulting nanocellulose is nanofibril 30-50 nm in diameter. The X ray diffraction (XRD) shows the banana peel BNC crystallinity index (Ic) is 86,94% and cellulose Type I. The Fourier Transform Infra-Red (FTIR) spectra confirms the bond and functional group of nanocellulose. These results support the required properties for strong but flexible membrane filter. The potential zeta absolute value -11.39 mV from the Electrophoretic Light Scattering (ELS) shows that BNC colloidal solution has good stability that it can be further used for the manufacture of water filter catalytic membrane composites.
Time Optimization Analysis Using Hybrid Simulated Annealing and Genetics Algorithm For CNC Punching Machine
Authors: Selvi Lukman , Joelianto Endra , Leksono Edi
Published: September 2019

This research describes the method of manufacturing process planning of hole manufacturing, which in every machining process consists of several individual operations with various types of punching blades. The process of setting the trajectory is one of the problems of holes manufacturing process because this process takes a long machining time and often it obtains undirected sequence path that sometimes causes stress material and the damaged of punching blades. The aim of optimization process is to minimize the processing time of holes manufacturing so the time function which is obtained can be converted in the form of energy consumption that helps manufacturers to predict the machining time. Dynamic Directed Graph is applied where each node represents a machining operation. The time function is obtained by studying the shortest path of a directed graph where the structure of objectivity studied is similar to the Traveling Salesman Problem (TSP). The mathematical model is used to solve the hole optimization problem of the graph structure by proposing the combination of both to solve the optimization problem. The Algorithm realization will be applied in real time CAD / CAM programming by using TOPS300 which is used for TRUMPF TC200 Punching Machine. There are 2 kinds of blade operations in this research which are single stroke operation and multi strokes operation. Both produce different time function. By a. Finally, some conclusions are given from examples that show the hybrid algorithm of Simulated Annealing and Genetic Algorithms is effective in reaching higher optimization performance and less energy consumption, which 26.02 seconds for single stroke operation and 126.02 seconds for multi strokes operation with the acquisition of logical path results with the absence of intersecting trajectories.
Properties of Unsaturated Polyester Composite Filled Activated Zeolite: The Effect of Filler Addition and Compression
Authors: Nasution H , Putra D M , Al Fath M T
Published: September 2019

The mechanical and physical properties of polyester composites filled with activated zeolites as fillers were investigated. Zeolite is an alumina silicate mineral that has cavity structures. The ability of the cavity structure can be maximized by activation using hydrochloric acid (HCl) 2 M. To achieve this goal, the zeolite was activated and proved it by performing morphological analysis using Scanning Electron Microscope (SEM) to see the surface structure. The aim of this study is to determine the effect of the activated zeolites content and hot press compression on the tensile and water absorption properties of polyester composites. The best tensile properties were found in ratio of unsaturated polyester with zeolite 70:30 (w:w) at a pressure of 125 Psi with a tensile strength of 38.51 MPa. SEM characterization showed a more rough breaking surface, that is in the ratio of polyester with zeolite 60:40 (w:w) at 75 Psi pressure because of the lack wetting between the matrix and activated zeolite. The water absorption of composite has increased as the addition of activated zeolite.
Detection of Strawberry Plant Disease Based on Leaf Spot Using Color Segmentation
Authors: Kusumandari Dwi Esti , Adzkia Muhammad , Gultom Sanggam P. , Turnip Mardi , Turnip Arjon
Published: September 2019

Strawberry plant is a fruit plants that have a high enough value. Strawberry fruit contains high amounts of fiber, vitamin C, folic acid, potassium and antioxidants. Cultivating strawberries is an easy task because strawberry plants are often affected by both micro-organisms, pests and bacteria. To reduce the spread of disease in strawberry plants, the initial introduction of strawberry disease will be carried out using digital image processing. Digital images of leaf are processed to determine the health status of the strawberry plant. The process carried out on digital images includes image improvement, color segmentation from RGB color space into HSV color space, regional segmentation to determine the area of deformed leaves and intact leaves. The image processing shows that 85% accuracy of detection is obtained.
Analysis A parallel combination between the Number Theorists aRe Us, Riverst Shamir Adleman and Triple Data Encryption Standard methods for measuring the speed of document security
Authors: Hardiaman Hulu Luken Candawan , William  , Sipayung David , Hafis Muhammad , Christnatalis
Published: September 2019

Computer security is a very important thing in an information system. The strength of the NTRU algorithm is the difficulty of finding a short vector of a lattice (a discrete subgroup of a collection of vectors that includes the entire vector environment) of a random polynomial that has a large degree. The strength of the RSA algorithm lies in the level of difficulty in factoring non-prime numbers into the primary factor. As long as no efficient algorithm has been found to find the prime factors of large integers, the RSA algorithm is highly recommended for message encryption. And finally this is the TRIPEL DES algorithm designed using a 56-bit key, and that size is enough to run a secure encryption technique. This algorithm provides a simple solution that is running the DES Algorithm 3 times for data blocks. The results of our study of measuring speed on encryption and decryption using the same file are superior to the RSA algorithm compared to the NTRU and TRIPLE DES algorithms.
Shortest Path Search Simulation on Busway Line using Ant Algorithm
Authors: Pramono K , Wijaya K , Cuosman W , Hartanto D , Dharma A , Wardani Sumita
Published: September 2019

Busway lane must be planned carefully, so that it can reach a number of points in an area efficiently. Problem that occurs is how to find the shortest route in a busway lane, this problem can be solved by using Ant algorithm. Naturally, ant colony will be able to find the shortest path on their way from nest to food sources by using pheromone. The Ant algorithm procedure to find shortest path in this research is using 100 ants to track all the path in a busway lane, drop pheromone on each path, the shorter a path is, the more pheromone gets accumulated on the path, and pheromone evaporates in each iteration. After going through a number of iterations, the pheromone will accumulate on the shortest path and all ants will follow the shortest path. Application can be used to find the shortest path from a busway lane planning in Medan using Ant algorithm. For a maximum of 30 terminals, ant algorithm requires only about 28 seconds to find the shortest route.
The Effect of Cd (II) Metal Ion Induction to Organ Experiment Rats
Authors: Nasution Ali Napiah , Zein Rahmiana , Azis Hermansyah , Tjong Djong Hon
Published: September 2019

Cd (II) is a hazardous compound with high toxicity. Cadmium toxicity contributes to a large number of health problems, including diseases that are the primary killers of heart disease, cancer and diabetes. The ability of Cd (II) to produce free radicals can cause a damaging effect on plasma lipids and lipoproteins through lipid oxidation and contribute to the ability of Cd (II) to produce effects on the cardiovascular system. This study aims to investigate distribution of Cd (II) in various organs through in vivo model using rats as a sample. The method used in this study is the Batch system. Using 6 rats as samples, which were divided into 2 groups. The first group as a control and remain group act as Cd (II) group (Injected by 1000 mg/L). The highest until the lowest level of Cd (II) are the liver (45.66 x 10−3 mg/g), lungs (34.16 x 10−3 mg/g), kidney (11.75 x 10−3 mg/g) and spleen (6. 11 x 10−3 mg/g), respectively. From this study it can be concluded that the highest accumulation Cd (II) in the liver and lowest level was in spleen.
Traffic sign detection using histogram of oriented gradients and max margin object detection
Authors: Reinaldo  , Manurung Natanael , Simbolon Juara immanuel , Christnatalis
Published: September 2019

Traffic signs are important markers in two-wheeled and four-wheeled vehicles. However, there is a change in direction or arrangement on the road that cannot be opened on a map which can cause incorrect information, which can cause traffic jams. In this journal the author uses a camera mounted on a car that provides a solution for drivers who issue problems that occur on the road that show directions or arrangements that are not directly updated using the HOG and MMOD methods. HOGs and MMODs are methods that can refute objects well, and move images and will be recognized immediately. The information received can be sent directly to an electronic map so that it can be accessed automatically by the driver’s information and assistance and other information finds the right path, so that it can help the driver and can avoid traffic jams.
Effects of the solvent during the preparation of MoS2 nanoparticles by laser ablation
Authors: Kanazawa Makoto , Koinkar Pankaj , Murai Kei-ichiro , Moriga Toshihiro , Furube Akihiro
Published: September 2019

Pulsed laser ablation in liquid is a well-known and effective method which can be used to prepare the various nanostructures. However, ablated samples have various problems such as wide size distribution, and effect of solvent to sample during laser ablation in liquid has not been well understood. In response to these problems, in this study, we prepared nanoparticles by irradiating nanosecond laser to samples using different solvents. The experimental results of prepared samples were compared, and we evaluated how the different solvents affect to their morphological and optical properties. The morphology, crystal structures and optical properties of the MoS2 nanoparticle were characterized by Scanning electron microscopy, X-ray diffraction, and UV-Vis absorption spectroscopy. Upon the laser ablation of the samples, the absorbance of UV-Vis spectra increased as approaching the shorter wavelength side. From the SEM images, it confirmed that the particle size became smaller for laser ablated MoS2 sample, which is good agreement with the result of UV-Vis spectra. The XRD spectra shows the appearance of new peak for laser ablated MoS2 in methanol as compared to those samples ablated in ethanol and N-methyl-2-pyrrolidone. It can be said that the crystal structure of the sample has changed after ablation. It suggested that because the particle size became smaller after ablation and the band gap increased. Such MoS2 nanostructure has its own importance for optoelectronics devices.
Classification Model C.45 on Determining the Quality of Custumer Service in Bank BTN Pematangsiantar Branch
Authors: Widyastuti Meilin , Fepdiani Simanjuntak Agnes Gracella , Hartama Dedy , Windarto Agus Perdana , Wanto Anjar
Published: September 2019

This study aims to classify the quality of customer service at Bank BTN Pematangsiantar Branch. Data is obtained from the results of the customer questionnaire of Bank BTN Pematangsiantar Branch. Attributes used are 7, namely Age (C1), Job (C2), Old to Customer (C3), Tangiable (C4), Reliability (C5), Assurance (C6), Responsivenenss (C7). Motede used in this research is C4.5 Algorithm and assisted by Rapidminer software to make decision trees. From the results of the study, there were 5 rules for classification in determining the quality of customer service with 3 rules with satisfaction status and 2 rules with dissatisfied status. The C.45 algorithm can be used in the case of determining customer service quality of Bank BTN Pematangsiantar Branch with an accuracy of 77.78%. With this analysis, it is expected that Bank BTN can improve the quality of service to customer satisfaction.
Analysis of the Factors Causing Lazy Students to Study Using the ELECTRE II Algorithm
Authors: Sari Desi Ratna , Rofiqo Nurul , Hartama Dedy , Windarto Agus Perdana , Wanto Anjar
Published: September 2019

This study aims to search for factors causing lazy students at STIKOM Tunas Bangsa. Data obtained from student questionnaire results with a sample of 20 students. The attributes used are 4, namely body condition (A1), lack of learning motivation (A2), lecturer influence (A3) and environment (A4). The method used in the study is ELECTRE II. From the results of the study, the condition factor of the body (A1) is the first alternative to get the first rank with a pure concordance value of 1.8571 and a pure discordance value of -2. Followed by the influence factor of lecturer (A3) on the second rank with pure concordance value of 1.1905 and pure discordance value of -1.6935. With this analysis, it is expected that it can contribute to universities to pay attention to the lazy symptoms of lectures that can hinder students’ success and pay attention to students based on ELECTRE II calculation analysis on the causes of lazy lectures so as to improve the educational process.
Analysis of the Selection Factor of Online Transportation in the VIKOR Method in Pematangsiantar City
Authors: Imandasari Tia , Sadewo Mhd Gading , Windarto Agus Perdana , Wanto Anjar , Lingga Wijaya Harma Oktafia , Kurniawan Rudi
Published: September 2019

Transportation plays an important role in helping every community activity and also has an important function in economic, social and developmental development. Online transportation provides alternative transportation solutions in the middle of the density of vehicles to be fast and able to reach places that are likely to be inaccessible to other public vehicles. People who usually use public transport or conventional taxi services have begun to switch to online-based taxis that are considered cheaper and more practical. Market research institutes in Southeast Asia show that 250 million Indonesians are quickly adapting the growth of application-based transportation (taxis and ojek online) to facilitate their lives. Various factors that influence people prefer online transportation compared to public transport or conventional taxis. The purpose of the study is to determine the main factors that people prefer to use Oline transportation. The study used the VIKOR method system which obtained the results based on the VIKOR index value where alternative A1: Easy and Safe (VIKOR index value 0) as a rank one and alternative A2: Price (VIKOR index value 0.1809520) as the second rank.
Analysis of Promothee II Method in the Selection of the Best Formula for Infants Under Three Years
Authors: Fatmawati Kiki , Sundari Riski , Windarto Agus Perdana , Wanto Anjar , Istianingsih Nanik , Hotmansyah Erwin , Susriyanti S , Wanto Anjar
Published: September 2019

Mother’s own milk is the best source of nutrition for almost all babies. Beyond somatic growth, breast milk as a biological fluid has various other benefits, including modulation of postnatal bowel function, ontogeny immunity, and brain development. Although breastfeeding is highly recommended, breastfeeding may not always be possible, appropriate or just adequate. However, following baby’s growth and development, breast milk alone is no longer enough to add nutrition to children. Because of that the baby must be given Mother’s Milk Complementary Food. One milk product that has the best market is a formula, but it is not easy to choose what formula is suitable to meet the nutritional content of babies. Baby formula milk is a substitute produced by the industry for baby consumption. Infant formula tries to mimic the nutritional composition of ASI as close as possible, and is based on cow’s milk or soy milk. A number of alternatives for cow milk-based formulas also exist. One of the SPK methods that can be used is PROMETHEE II. Based on the results of research using 9 criteria, namely: Energy, Fat, Sugar Protein, Carbohydrates, Sodium, Protein, Affordable Prices, More Variants of Flavor, Easy to Search and 5 Alternatives, namely: Dancow, SGM Eksplor, Vidoran Xmart, LactoGrow, Bebelac 3. The results of the assessment obtained the final result of the calculation of net flow is Vidoran Xmart (0.2075: Ranking 1), Bebelac 3 with net flow (0.0825: Ranking 2) and Dancow with net flow (0.0425: Ranking 3). It is hoped that this research can contribute to parents so that they will no doubt choose formula milk that is suitable for babies.
Analysis of the Backpropagation Algorithm in Viewing Import Value Development Levels Based on Main Country of Origin
Authors: Wanto Anjar , Ginantra NLWSR , Nurmawati N , Bhawika Gita Widi , Achmad Daengs GS , Purwantoro P , Abdussakir A , Taufiqurrahman T
Published: September 2019

In this study, we will discuss the development of import values in general based on the main country of origin in units of net weight (tons). The import value to be discussed is focused on the value of imports in North Sumatra Province, whose data is obtained from the Central Bureau of Statistics in 2009-2014. The algorithm that will be used to see and measure the level of development of import values is the backpropagation algorithm. This algorithm is one part of the Artificial Neural Network algorithm that is quite reliable in solving problems related to times series data. With the backpropagation algorithm, 5 architectural models will be formed that will be used to measure the level of development of import values, namely 4-12-1 architectural models, 4-15-1 models, 4-18-1 models, 4-19-1 models and model 4-20-1. From the 5 models, one of the best that will be used as a reference to measure the development of import values will be chosen. After analyzing the best models were obtained 14-19-1 with the level of truth produced more than 90%. With this architectural model, calculations will be made on the level of development of import values based on the main country of origin for 2015 to 2020.
Accuracy Level of Backpropagation Algorithm to Predict Livestock Population of Simalungun Regency in Indonesia
Authors: Purba Indri Sriwahyuni , Wanto Anjar , Riansah Reza Muhammad , Ahmad Yogi , Siregar Sandy Putra , Winanjaya Riki , Julham Mhd. , Silitonga Hotmalina
Published: September 2019

The development of livestock agribusiness includes all activities that begin with the procurement and regulation of production and marketing suggestions. With the many types of livestock found in Simalungun Regency, Indonesia should be able to increase the potential for livestock agribusiness development. In this study, the authors will analyze the best architecture that can be used to predict the number of livestock populations according to the type of livestock in Simalungun District Indonesia so that certain parties can make improvements to the development of livestock agribusiness in Simalungun District Indonesia. In this study, there are five 5 architectural models namely, 3-5-1 architecture, 3-6-1, 3-7-1, 3-8-1, and 3-9-1. Of the five architectural models, the best architectural model is 3-7-1 with 75% accuracy and 1693 epoch. While the error rate is 0.001-0.01. It is expected that this architectural model can help academics in the process of predicting the number of livestock populations in Simalungun Regency in the coming year.
ANN: Prediction of Per Capita Income Rural Community on Poverty Line Based on Province
Authors: Solikhun  , Wahyudi Mochamad , Safii M. , Efendi Syahril , Ramadhani Suci , Yunefri Yogi , Zamsuri Ahmad
Published: September 2019

The problem of poverty is a fundamental problem that is of concern to every country. The Indonesian state has established a poverty reduction program as the main program. Poverty occurs in urban and rural communities. This research raises the problem of poverty in rural communities. The contribution of research to the government is to predict the per capita income of rural communities according to the poverty line based on the future provinces. The data used is data from the National Statistics Agency. These data are 2015 semester 1 data up to 2018 semester 1. The algorithm for its completion uses the artificial neural network backpropagation method. Input data is 2015 data for the 1 to 2017 semester 2. The training and testing architecture model is 4, namely 6-2-1, 6-3-1, 6-2-3-1, and 6-3-2-1. Target data is 2018 semester 1 data. The best architectural model is 6-2-1 with 79 epoch, MSE 0,004801 and 100% accuracy rate. From this model, a prediction of rural income per capita in the poverty line is based on the provinces of each province in Indonesia.
A Framework for Sharing Patient Data and Service Facilities Using Ipv6 Technology to Support the Advancement of Smart Health Care Technologies
Authors: Pardede A M H , Mawengkang H , Zarlis M , Tulus T , Buaton R , Maulita Y , Fauzi A , Novriyenni N , Kadim L A N , Jamaluddin J
Published: September 2019

To improve patient care requires intelligent and better Health Care, where it collaboration between many people is needed and resources. The use of data together by each agency needs to be done, to avoid repetition when doing data entry. In smart hospitals patient data can be received in real-time at various offices in smart hospitals or even smart hospitals in villages and towns. Medical technicians, nurses, and doctors and patients can also have access to test data without losing time in physically transferring the same information from different hospitals to another hospital. Implementation of IPV6 as a tool for the numbering of regional region and region class of hospital services, where the type of hospital in Indonesia itself consists of 5 classes of hospitals. The results in this research are IPV6 can be applied to patients who provide location information, which is integrated with the patient’s social media or can be tracked using GPS, patients will be very helpful in utilizing better hospital service facilities, the patient data in a shared database can be assessed jointly by the authorized party, in this case the hospital or the doctor handling of the patient is referred to and can be done more optimally.
Smart Fishing Vessel Monitoring for Handling of Illegal Fishing in the EEZ Of Indonesia Using WSN TDMA
Authors: Sulindawaty  , Mawengkang Herman , Zarlis Muhammad , Effendi Syahril , Zendrato Niskarto , Fahmi Hasanul , Ikhsan Muhammad
Published: September 2019

Illegal fishing which until today is still a very serious attention by the government due to resource depletion can lead to fish in the EEZ of Indonesia. It was due to conduct surveillance in Indonesian waters is difficult where Indonesia is an archipelago with a lot of beaches. Wireless Sensor Network (WSN) used for monitoring, tracking and controlling short distance and long distance. Wireless Sensor Network The randomized in a particular region to get comprehensive information. However, namely the possibility of data collision will occur in the data transmission process if performed simultaneously. So the application of methods of TDMA (Time Division Multiple Access) as a channel access method for networks together, allowing users to be able to share signals with time slots that are not the same in sharing the same frequency channel. Smart fishing Vessel Monitoring function for handling the problem of illegal fishing, where the latter any fishing vessels will be monitored from the location, the number of crew, cargo and fishing licenses.
A Comparative Study of Data Mining Methods to Diagnose Cervical Cancer
Authors: Sagala Noviyanti T M
Published: September 2019

Cervical cancer becomes a major cause of cancer deaths in women around the world. The objective of this study is to provide a comprehensive analysis of different data mining methods to diagnose the malignant cancer samples. Different data mining algorithms (SVM, Naïve Bayes, and KNN) has been applied on four different medical tests (Biopsy, Cytology, Hinselmann, and Schiller) as four different target variables. The attributes influence the disease most is extracted since the disease has no symptoms in the early stage. The extraction involved over 32 attributes and two different algorithms such as Correlation-based Filter (CFS) and Random Forest. The results showed that the performance of Naïve Bayes classifier outperforms other classifiers after evaluation using 10-fold cross-validation method in R environment. In addition, the use of attribute selection has been proved not only can select the highly important attributes but also to increase the performance of all classifiers on cervical cancer dataset. In this study, the work reveals the classifiers can effectively achieve the best performance with the least number of highly important attributes.
Analysis Of c4.5 and ID3 Methods in Determining Student Graduation
Authors: Qowidho Titin , Zarlis M , Nababan Erna Budhiarti , Agusnady Alfian , Sembiring Berti Sari
Published: September 2019

From the performance measurement of the two algorithms that have been done based on the amount of data, it can be concluded that ID3 algorithm has better performance (precision, recall, and accuracy) than C4.5 algorithm. The performance measurement of the two algorithms based on the number of attributes indicates that the ID3 algorithm has better performance (precision, recall, and accuracy) than the C4.5 algorithm. Overall, From the experiments that have been carried out it can be concluded that ID3 has a better performance than C4.5 algorithm. Performance measurement of a data mining algorithm can be done based on several criteria such as accuracy of prediction, speed / efficiency, reliability, scalability and interpretation. In this study the authors suggest using the ID3 algorithm method.
The Effect of Plaintext Length on Round Trip Time With Client Server Based Advanced Encryption Standard (AES) Algorithm
Authors: Agusnady Alfian , Sitompul Opim Salim , Tulus T , Sembiring Berti Sari , Qowidho Titin
Published: September 2019

The length of the plaintext affects the round trip time, where the longer the plaintext, the longer round trip time. In an attempt of 35 plaintext characters obtained 1.171 ms round trip time. Whereas on an attempt of 113 plaintext characters obtained 2.355 ms round trip time. In Figure 2 can be seen the graph increase of the round trip time. The author concludes that the length of the plaintext affects the round trip time in the client server based AES algorithm. The longer the plaintext, the longer the round trip time process will run.
Implementation of Bayesian Regulation Algorithm for Estimation of Production Index Level Micro and Small Industry
Authors: Afriliansyah Teuku , Parulian Parulian , Ulva Ananda Faridhatul , Simanjuntak Marthin Yohannes , Wanto Anjar , Sihombing Danny , Sutanto Agus , Ginantra NLWSR
Published: September 2019

Small Industry is an industrial company whose workforce consists of 5-19 people. While the Micro Industry is an industrial company whose workforce consists of 1-4 people. The purpose of this study is to estimate the Production Index of Micro and Small Industries according to KBLI for years to come. KBLI is a reference classification used to classify Indonesian economic activities/activities into several business fields/business fields that are distinguished based on the type of economic activity that produces products/outputs in the form of goods and services. In this study, the estimation method used is the Bayesian Regulation Algorithm. This algorithm is one of the Artificial Neural Networks algorithms that can solve many estimation problems by building a trained model and showing good performance. The data to be estimated in this study are data of Micro and Small Industry Production Index according to KBLI processed from the Central Board Statistics of Indonesia. This study uses 3 architectural models, namely: 5-10-20-1, 5-15-30-1 and 5-20-40-1. The best architectural model is 5-10-20-1, resulting in 83% accuracy, MSE 0.0031434897 with a minimum error of 0.001 - 0.05.
Naive Bayes Algorithm Analysis to Determine the Percentage Level of visitors the Most Dominant Zoo Visit by Age Category
Authors: Parlina Iin , Yusuf Arnol M. , Febriati Nur Ahlina , Dewi Rafiqa , Wanto Anjar , Lubis Muhammad Ridwan , Susiani
Published: September 2019

Classification is a method of data analysis that is used to create models that describe data classes that are considered important. For the classification of the classification process, the data used is THPS Visitor data which consists of 4 classes including Education, Gender, Age and Visit. The classification used as a comparison of results is the Naive Bayes Classifier. By classifying the number of visitors who are most dominant visiting by age category consisting of adults, adolescents and children. This study aims to classify the highest number of values for visitors by age category. This study was reviewed using the Naive Bayes algorithm. The results of this study indicate that the visitor data that is the most dominant visiting by age category is children who have 77% accuracy is the age of children. This accuracy value is the age that most often visits THPS.
Analysis of Artificial Neural Networks Method Backpropagation to Improve the Understanding Student in Algorithm and Programming
Authors: Lubis Muhammad Ridwan , Saputra Widodo , Wanto Anjar , Andani Sundari Retno , Poningsih P.
Published: September 2019

To Improve the student skills in learning is constitute hope of every lecturer. For/In computer base-study programme master of programming is needed. the Algorithms and Programming are basic course that must be studied. Mean while/that for, using the backpropogation methods which is part of the Artificial Neural Networks will test and train data by using the backpropogation algorithm to improve students ability to understand the subject. The result obteined can be analyzed about the results if the output is that the closed to the target then the trainning process can be finished. Furthermore/Hereafter, The average error can be calcutate obteined from the result of the trainning that has been carried out. If the results have not reached then the backpropagation method always do iteration with make to update weignt until maximal output and can to get output of exelent with used backpropagation method.
Analysis of Sequential Order Incremental Methods in Predicting the Number of Victims Affected by Disasters
Authors: Parulian Parulian , Tinambunan Medi Hermanto , Ginting Salomo , Khalil Gibran M. , Wanto Anjar , Muharram La Ode , Nurmawati N , Bhawika Gita Widi
Published: September 2019

Disaster is a series of events that threaten and disrupt human life caused by natural factors, non-natural factors and human factors themselves. Therefore, disasters cause casualties, environmental damage, property losses, and psychological impacts. In this study will be discussed about the prediction of the number of victims affected by the disaster, either died, lost, injured, suffered or displaced. Data sources were obtained by the National Disaster Management Agency and the Indonesian Central Statistics Agency. The method used to predict is the Incremental Sequential Order method. This method is one part of the Artificial Neural Network method. With this method, network architecture patterns will be established to predict the number of victims affected by the disaster for years to come. The network architecture models used are 4-5-1, 4-10-1, 4-5-10-1, 4-10-20-1 and 4-15-30-1. Of the five models, the best models will be obtained, namely 4-15-30-1 with an accuracy rate of 80%. With this architectural model, predictions will be made on the number of victims affected by the disaster for years to come.
Message Security Implementation by Using a Combination of Hill Cipher Method and Pixel Value Differencing Method in Mozilla Thunderbird Email Client
Authors: Siregar B , Gunawan H , Budiman MA , Sulindawaty
Published: September 2019

One of the problems in this field of communication is the insecurity of messages sent across computer networks. Even though sometimes the contents of a message can be something that is sensitive and prone to abuse. One method that can be used to overcome this problem is by using a combination of cryptography and steganography. In this research, an add-on menu for Mozilla application was developed to secure messages to be sent via e-mail using Hill Cipher’s cryptographic method on messages and insert them using steganographic pixel value differencing method on image files to be extracted and returned to the form originally. The results of this study indicate that with experiments using messages with length and image file extensions that are also different, namely. bmp, .jpg, .png, and .gif can insert the initial message into the image file and be returned to its original form with a maximum length limit message 1000 characters and no manipulation of the image file from the insertion message.
Predict Foreign Exchange Revenue from CPO Commodity Exports Using Backpropagation Neural Network
Authors: Siregar B , Sitompul OS , Prayitno OZ , Sulindawaty
Published: September 2019

Export of CPO and its derivative products is one of the biggest revenues for Indonesian foreign exchange. Through this research, predictions of foreign exchange earnings from CPO exports are made using backpropagation artificial neural networks. The data used in the form of export data for the period September 2013 to December 2016. The final results of this research using epoch 10000, learning rate 0.2, and hidden layer 10.
Determining the Common Set of Weight in Data Envelopment Analysis with Linear Programs
Authors: Sirait Donna N. M. , Efendi Syahril , Sawaluddin
Published: September 2019

Data Envelopmemt Analysis (DEA) serves to assess efficiency in the use of resources (input) to achieve results (output) whose purpose is to maximize efficiency. DEA was first introduced by Charnes, Cooper dan Rhodes in 1978. DEA is a nonparametric approach which is basically the development of Linear Programming (LP). The characteristic of DEA CCR model is that it allows the DMU to measure the maximum efficiency value with the most favorable weight. The efficiency of the DMU obtained differs from the different sets of weight may not be comparable and rank on the same basis. In DEA model optional sets of input weight and output weight are usually assumed to represent the DMU that is considered the best to compare with all DMUs. This set of weights is usually different for each DMU. In this journal to determine the set of weights in the DEA is performed with a linear programs. After the linear program is determined, the value of the output weight and input weight is solved using the software POM-QM for Windows.
Monitoring System Volume of Crude Palm Oil on Vertical Tank Using Ultrasonic Sensor and Solenoid Valve
Authors: Siregar B , Hizriadi A , Faizal MR , Sulindawaty
Published: September 2019

During this time to find out the volume of Crude Palm Oil (CPO) in the palm oil mill, it was monitored every day on the vertical tank manually using a sounding meter. Monitoring data taken manually is less accurate and requires more time and manpower. So that this weak monitoring data can cause losses if there is oil loss in the tank. Therefore, research aims to help control vertical tanks and can detect any loss of CPO that can harm the company. This research uses data obtained by an ultrasonic sensor connected to a microcontroller and installed solenoid valve on the tank discharge faucet. Data received by the microcontroller is then sent to the server and then stored in the database to be retrieved visually on the monitoring system dashboard. The test results show that the system built can facilitate monitoring of CPO volume in vertical tanks.
Implementation of ANN for Predicting the Percentage of Illiteracy in Indonesia by Age Group
Authors: Bhawika Gita Widi , Purwantoro P , Achmad Daengs GS , Sudrajat Dadang , Rahman Arrafiqur , Makmur M , Rohmah Rina Ari , Wanto Anjar
Published: September 2019

Illiteracy is one of the serious problems experienced by Indonesia. The lack of care from the government and the private sector towards illiterate people makes the illiteracy rate quite high. Because of this, this problem must be one of the government’s targets going forward, because directly or indirectly illiteracy plays a role in increasing the number of poverty in Indonesia. The purpose of this study is to predict the percentage of the illiterate population in Indonesia according to the age group 15-44 years because this age group category is a productive age. The results of this prediction are expected to be a reference and benchmark for the government in determining and making policies to reduce illiteracy rates. The data that will be predicted is the illiteracy rate data for each province in Indonesia sourced from the Indonesian Central Bureau of Statistics from 2011 to 2017. The method used for prediction is Backpropagation Artificial Neural Network. Data analysis and calculation were carried out with the help of Matlab and Microsoft Excel software. This study uses 5 architectures, 4-5-1, 4-6-1, 4-9-1, 4-14-1 and 4-18-1. Of the five models, the best network architecture is 4-14-1 with an accuracy rate of 91% and the Mean Squared Error 0.00274166. Using this 4-14-1 network model, a prediction on the percentage of illiteracy in Indonesia will be calculated for 2018 until 2020.
On Hamming index generated by adjacency matrix of graphs
Authors: Ali Safri , Suwilo Saib , Mardiningsih
Published: September 2019

Let G be a finite simple graph and A be the adjacency matrix of G. Then each row of A is a bit string of finite length. Hamming distance between any two rows of A is defined to be the number of positions with different digit. For any two vertices vi
and vj
in graph G we define Hamming distance, generated the adjacency matrix A, between vi
and vj
as the Hamming distance between rows of A corresponding to the vertices vi
and vj
. The Hamming index of the graph G is the sum of Hamming distances over all distinct pairs of vertices vi
and vj
in G. This paper discuss Hamming index of finite simple graphs. We present a formula for Hamming index of graphs in terms of known parameters of the graph namely the number of vertices, the number of edges and the degree of each vertex. We then apply the formula to determine the Hamming index for some graph operations.
Fuzzy Controller for Solar Cell Optimization
Authors: Azmi Zulfian , Mawengkang Herman , Zarlis Muhammad , Tulus  , Efendi Syahril
Published: September 2019

This study describes the Fuzzy Logic Control for the movement of Solar Cells that use fuzzy logic algorithms to achieve intelligent and flexible knowledge-based systems in the design of hardware to achieve efficiency in controlling the movement of solar cells that are better and maximize the function of the solar cell motor works based on time input. Fuzzy Logic allows mapping from the input given based on time to an output. involves components of variables, membership functions, Fuzzy Logic operators and if-then rules. And with an analysis it can produce optimum output of Solar cell rotation.
Evaluation of Maturity Level of Information and Communication Technology (ICT) Governance with CobIT 5.0 Case Study: STMIK Pelita Nusantara Medan
Authors: Sihotang Hengki Tamando , Zarlis M , Efendi Syahril , Jollyta Deny , Husain
Published: September 2019

In entering competition the quality and predicate best the national and the quality of graduates, college trying to use information technology as an instrument for might win this competition. That IT can be used to fulfill and support the system in college, it needs assessment from information technology regularly. One method of conducting evaluation of the performance of the department of information technology is to use the framework Cobit 5 as yardstick efficiency in the use of information technology currently consisting of 5 (five) domain namely: EDM, APO, DSS, MEA A measuring instrument his as. With this method, researchers trying to make it a blueprint as the end result of utilization of information technology in college, so the management can plan exactly how of development of information technologies company to the next few years. An evaluation, known level capabilities inside the area mea and APO is entirely located at the level of 1 (performed) with the level of the target to be achieved is the level of 3 (established). Weakness governance information technology in STMIK Pelita Nusantara Medan is the lack of formalization rules and procedures management information technology. To reduce the gap between capability the current level was level and capability to be achieved, so STMIK Pelita Nusantara Medan must meet PA2.1, PA2.2, PA3.1 and PA3.2, that capability the current level was that is at the level of 1 could rise to the level of 3. Along with that, STMIK Pelita Nusantara Medan moved closer to the purpose..
The Using of Thresholding and Region Merging Algorithm for Correcting the Multiple Choice Answer Sheets
Authors: Fahmi Hasanul , Zarlis Muhammad , Mawengkang Herman , Zendrato Niskarto , Sulindawaty
Published: September 2019

Increasing technology in digital encourages the human to create computer aplication to process two-dimensional data (Citra). Image retrieval that is the form of test files uses CCD cameras with a fairly expensive price, such as CCTV cameras. In this research, the author uses the methods thresholding and region merging to correct the answer sheet with a tool Webcam that the form of Image and it is procesed for correction the answer multiple choice. in this study, the author focuses on the application of the thresholding method in which the purpose is to classify the gray degree value into two, namely black and white. the application of the region merging method is the process of combining regions less than the threshold. The use of webcam, thresholding methods and merging region is expected to facilitate all circles of agencies, especially in the education field in the correction sheet answer. It can increase the output of quality teachers.
Optimization Model for a Location-Allocation-Routing in a Periodic Distribution Network
Authors: Panjaitan Dedy Juliandri , Suwilo Saib , Opim S. Sitompul , Sawaluddin
Published: September 2019

The main concern of this paper is to decide the locations and allocations of facilities that impact not only the profitability of an organization but the fast ability to serve customers. Generally the location-routing problem is to minimize the overall cost by simultaneously selecting a subset of candidate facilities and constructing a set of delivery routes that satisfy some restrictions. In this paper we consider the periodic routing of vehicle to be used to distribute goods. Integer programming model is built to solve the problem. A feasible neighbourhood search is developed to solve the result model.
Requirement Analysis of PACS and RIS Hospital Management Information System on Radiology Installation Based on Kano Method
Authors: Budianto Widi , Napitupulu Darmawan , Adiyarta Krisna , Windarto Agus Perdana
Published: September 2019

Hospital management information systems are very helpful in carrying out services to customers. In this study, problems were found regarding the process of presenting the results of radiological image data that have not been facilitated throughout the patient’s examination room. The slow results of radiological image data, especially for immediate results (CITO) in emergency department services have not been facilitated due to having to wait for the results printed. The results of reading radiological images (expertise) are waiting to be printed first. To solve this problem, a research was conducted focusing on the development of the Radiology Information System (RIS) information system model and Picture Archiving and Communication System (PACS). The development of this system is analysed using the KANO method to classify the expected system menu needs attributes. The test results get the percentage of better value higher than the worse that is 9.81 which means that it can be known attributes that greatly influence the increase in customer satisfaction if these attributes are not fulfilled, the disappointment level is very high, but the implementation stage is not optimal so that future research can present results better research.