bluuebunny/crossref_metadata_2025 huggingface dataset:
Fabrication and performance testing of a 1-kW-class high-temperature superconducting generator with a high-temperature superconducting contactless field exciter∗
Authors: Kim Ji Hyung , Chae Yoon Seok , Quach Huu Luong , Yoon Yong Soo , Jeon Haeryong , Han Seunghak , Ko Tae Kuk , Lee Jeyull , Kim Hyung-Wook , Jo Young-Sik , Park Heui Joo , Kim Ho Min
Published: July 2020

This paper deals with the fabrication and performance testing of a prototype machine for the world’s first implementation of a new type high-temperature superconducting rotating machine (HTSRM), which is charged and operated by the application of a contactless superconducting excitation technique with a rotary-type HTS flux pump based on a permanent magnet. Although this type of flux pump has been actively applied in stationary superconducting applications, its practical demonstration on rotary superconducting applications, namely, rotating machines, has not yet been conducted or reported. Therefore, laboratory-scale hardware implementation was conducted to investigate the feasibility of using an HTS contactless field exciter (CFE) as the field exciter of an HTSRM. Firstly, the various core components were manufactured, assembled, and tested to configure the 1-kW-class high-temperature superconducting generator (HTSG) system. Then, the assembled machine was connected with a conventional induction motor and three-phase resistive load. In non-load tests, the characteristics of the induced voltage of the HTSG, which was generated and affected by contactless field excitation and the operating speed, respectively, were tested and measured. In particular, the charge and discharge behaviors of the field current excited by the HTS CFE were experimentally analyzed based on the induced voltage profiles of the HTSG. Then, the HTSG output characteristics were tested and measured by performing experiments on the characteristics of constant load and constant speed, respectively. The generator test results were satisfactory in terms of output, voltage regulation, and the total harmonic distortion in the voltage and current.Our developed HTS CFE can excite an HTS field coil with 101 A in a noncontact manner, resulting in an operating field current margin of approximately 79% and a decrease of approximately 91.5% in the field excitation loss. In addition, the results demonstrated the possibility of designing HTS magnets with self-protecting features.
Topological states of the diatomic linear chain: effect of impedance matching to the fixed ends
Authors: Grundmann Marius
Published: July 2020

The diatomic linear chain with nearest-neighbor spring constants C
1 and C
2 has topologically different bulk states for C
1 ≷ C
2. A finite chain of N unit cells and fixed ends (the first and last spring is C
1) exhibits two topological end states within the gap for C
1 > C
2. We investigate the effect of an impedance mismatch by varying the first and last ‘boundary’ spring constant termed C
F from its ideal value C
1. C
F = 0 represents an open end and does never lead to topological states. C
F → ∞ means that also the next site to the boundary is fixed, leading to topological states only for C
1 < C
2 since now the first movable spring is C
2. Within a range of C
F around C
1 topological end states are preserved for C
1 > C
2. For C
2 > C
1, topological end states occur when C
F exceeds a certain value.
Pulsar timing observations with Haoping Radio Telescope
Authors: Luo Jin-Tao , Gao Yu-Ping , Yang Ting-Gao , Zhao Cheng-Shi , Tong Ming-Lei , Rao Yong-Nan , Li Yi-Feng , Li Bian , Zhu Xing-Zhi , Qiao Hai-Hua , Lu Xiao-Chun
Published: July 2020

We report pulsar timing observations carried out in L-band with NTSC’s 40-meter Haoping Radio Telescope (HRT), which was constructed in 2014. These observations were carried out using the pulsar machine we developed. Timing observations toward millisecond pulsar J0437–4715 obtain a timing residual (r.m.s.) of 397 ns in the time span of 284 days. Our observations successfully detected Crab pulsar’s glitch that happened on 2019 July 23.
Are collisions with electrons important for modeling the polarization of the lines of the C2 solar molecule?
Authors: Derouich Moncef , Ahmad Badruddin Zaheer , Alruhaili Aied , Qutub Saleh
Published: July 2020

Observations of the second solar spectrum (SSS) revealed the existence of prominent linear polarization signals due to lines of the C2 molecule. Interpretation of the SSS is the only tool to obtain the weak and turbulent magnetic field which is widespread in the Quiet Sun. However, this interpretation is conditioned by the determination of accurate collisional data. In this context, we present a formulation of the problem of the calculation of the polarization transfer rates by collisions of polarized C2 states with electrons. The obtained formulae are applied to determine, for the first time, the polarization transfer rates between the C2 states of the Swan band electronic system (a
3Π
u
– d
3Π
g
) and electrons for temperatures going up from 1000 to 10 000 K. However, due to the closeness of the electronic states of the C2 molecule, the two electronic d
3Π
g
and a
3Π
u
cannot be disconnected from the other electronic levels and, thus, a model based on only two states is not sufficient to describe the formation of the lines in the Swan band. Consequently, we also calculated the collisional polarization transfer rates in the case where the first eight electronic states of C2 are taken into account. All rates are given as functions of the temperature by power laws. Our results should be useful for future solar applications.
A model of smart regency framework using Meta-ethnography approach and TOGAF ADM 9.1
Authors: Darmawan Aang Kisnu , Siahaan Daniel Oranova , Susanto Tony Dwi , Hoiriyah  , Umam Busro Akramul , Hermanto Agus
Published: July 2020

The concept of Smart City has now become the primary choice and trends in improving the quality of public services and is expected to be a solution to problems that occur in urban areas that are increasingly complex by offering an integrated ICT-based city governance concept. However, there are significant differences between the concepts of City and Regency in terms of government structure, area, livelihood variations, population, economy, and socio-culture. So that the idea of Smart City is not always probable and valid if applied to the District. This study aims to create a Smart Regency Framework Model that is different from the Smart City Framework Model, which has been widespread. The method used in this research is Meta-Ethnography to synthesize qualitative findings of regency building factors and TOGAF ADM 9.1 to develop an information system architecture model. The results are expected to produce a new Information Systems Architecture Model and contribute to the development of smart district service models.
Development Of Work Sheet Students In Guided Inquiry Based On The Game Education Using Macromedia Flash
Authors: Ida Kholida S. , Suprianto  , Ketut Mahardika I
Published: July 2020

The use of conventional student worksheets makes students feel bored so that students’ mastery of physics concepts is low. Then it takes the development of student worksheets that are oriented towards guided inquiry based on educational games. The purpose of this study was to develop an educational game-based guided inquiry student worksheet using macromedia flash, and to identify teacher and student responses to the educational game-based guided inquiry worksheet. This study uses research and development adapted from Borg and Gall. Borg and Gall developed detailed steps (1) research and information collecting, (2) planning, (3) developing preliminary forms of product, (4) preliminary field testing, (5) playing product revision, (6) playing field testing, (7) operational product revision, (8) operational field testing, (9) final product revision, (10) dissemination and implementation. But in this study only reached stage 7 because of limited time. The average percentage score of the validator team on the worksheet of guided inquiry-based educational games gained 85.39%. The average percentage score of the validator team against the educational inquiry-based student worksheet obtained 85.39% with valid criteria. while the percentage of teacher responses to student worksheets obtained 66.67% considered very practical and 33.33% considered practical. The percentage of student responses of 45% considers very practical, 50% considers practical and 5% considers quite practical. it can be concluded that the development LKS guided inquiry-based educational game is already valid and very practical to use learning.
Government Readiness and Strategies in E-marketplace Planning using SWOT Analysis and Technology Readiness Index Model
Authors: Dewi K C , Ayuni N W D
Published: July 2020

E-marketplace technology can be utilized by tourism person and government in facing the development of Industrial revolution 4.0. The development of e-marketplace requires proper preparation and strategy, including reengineering the ongoing business processes. This research took a case study in Nusa Dua which is a tourism area in Bali. The research objectives was to determine the readiness and strategies of the Nusa Dua government in e-marketplace planning by using SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis and Technology Readiness Index (TRI) model. The research was conducted by qualitative descriptive approach through observation, in-depth interview and Focus Group Discussion. The research validity was done by transferability, confirmability, credibility and dependability test. The research started from describing the SWOT with TRI model consideration, then mapping into EFAS and IFAS matrix to got the government readiness position. The research continued with government strategies formulation. Based on SWOT analysis with TRI model consideration, it can be concluded that the government readiness was in strong position to be a provider of e-marketplace. It was very possible for the government to carry out aggressive growth because they had the opportunities and strengths needed. The government strategies were Growth Oriented Strategy that built from TWOS matrix.
Manipulation of Virtual Environment to Examine Perception and Vision Aspects of Individuals Post-Stroke When Driving VRAC Simulator
Authors: Lesmana I P D , Widiawan B , Hartadi D R
Published: July 2020

Individuals post-stroke suffer deficiency of motor function and need more effort to exercise using cycling therapy. Virtual reality augmented cycling (VRAC) that incorporate compensatory strategies such as manipulation of virtual environment (VE) may change motor behaviour and increase exercise intensity while also being engaging and motivating. In this research, we try to examine perception and vision aspects of individuals post-stroke that affect the user interface to a VE when driving a VRAC by manipulating VE features such as gain related with human perception, and width and difficulty of path related with human vision. To examine those aspects, we divided two groups, namely healthy sedentary control (n=3) as reference and individuals post-stroke (n=7). From the examination results, it was obtained that both groups had given a good enough response to manipulation of VE features although there were no significant differences to individuals post-stroke when driving VRAC in wide path conditions. Manipulation of VE features affect cycling behaviours for individuals post-stroke and assist to transfer visual information in real world to virtual world for development of post-stroke rehabilitation using VRAC system.
MODELLING EXPERT SYSTEM FOR LUNG DISEASE
Authors: Riskiawan H Y , Rizaldi T , Setyohadi D P S , Utami M M D
Published: July 2020

One of the vital organs in humans is the lungs. Lungs infected with the disease and not or late diagnosed can cause fatal conditions that have the potential to cause death. The rapid development of artificial intelligence, especially the expert system, is one of the solutions for the early diagnosis of respiratory diseases, especially in the lungs. By applying the forward chaining method that analyzes the facts given by the user to determine the diagnosis results, the expert system for lung disease that was built focused on six lung diseases that are common in Indonesia.
Designing and Creating Web-Based Outpatient Information System At Panti Community Health Center (Puskesmas) Jember
Authors: Farlinda Sustin , Roziqin Mochammad Choirur , Hikmah Faiqatul , Pratama Yogi
Published: July 2020

Community Health Center is the first level and foremost health service unit in the health service system that is adjusted with the condition, needs, demand, ability, and innovation as well as the local government policy. Generally, the data processing in the community health center is done manually so that to archive the patients’ data, it consumes both time and paper. The aim of this research was to design a web-based outpatient information system program to ease the data processing. The design and creation of the web-based outpatient information system used waterfall method and it consisted of: (1). Requirement Analysis and Definition, (2). System and Software Design, (3). Implementation and Unit Testing, (4). Integration and System Testing. This research resulted in the program output of outpatient information system that could be used by the officer to create the web-based medical record.
The Knowledge Level of Market Information by Farmers and The Influencing Factors
Authors: Putra D E , Hariono B , Utami R R M M D , Riskiawan H Y , Setyohadi D P S
Published: July 2020

This study aims to measure the knowledge level of market information by rubber and what factors can influence it. This study also finds out whether there is a gap or the difference between the mastery at the farm level with the mastery of information at the traders level. This research was located in Sintang District which is one of rubber production center in West Kalimantan. The number of respondents was determined by 153 farmers of respondents distributed in each location. Frequency analysis, chi-square and multiple linear regression were used to answer the objectives. The results showed that the level of mastery of market information by rubber farmers is included in the medium to the high category for price indicators, form, time and place. Then the data shows that there was no gap or difference in the mastery of market information between farmers and traders in general, but for the mastery of price information obtained results, there was a gap between farmers and traders. The factors affecting the mastery of rubber farmers’ market information are age, income from farming, distance from the house to the factory, electronic communication media, online communication media and utilization of information source from the internal factory (foreman/manager).
Geographic Information System Mapping of Universitas Negeri Surabaya Facilities (Case Study: Universitas Negeri Surabaya Ketintang)
Authors: Nuryana IKD , Nurdin S R , Prismana IGPE , Prehanto D R
Published: July 2020

The main obstacle for visitors who visit the state university of Surabaya for the first time was difficulty to find certain place or building. In the searching process, most of visitors were confused to find place or building or facility of Surabaya state university because they don’t know about the scope of it so it was required lot of times to find that. Based on statement above so it was used some open source softwares include arciew, postgresql, postgis, mapserver, quantumgis, and framework pmapper to made geographic information system (GIS) based on web that can be used for visitors as aids to find out the layout and information about facilities and buildings of Surabaya state university. Because of it so the visitors will not require lot of times to find the location of facility and building. Result of this system was can help visitors in searching process of facilities and buildings, so the visitors were able to find out about the facilities and buildings information, and roominess of Surabaya state university easily.
Project-Based Learning as a Subnetting Material Completion in Network Design Studies
Authors: Sujatmiko B , Rozaq F , Wibawa SC
Published: July 2020

This research is intended to improve students’ learning results in problem solving on Subnetting materials by using learning modules. The research method uses experiments with True Experimental Design in the form of Post-test Only Control Design. This method uses two randomly selected groups to be a control group and an experimental group. The control group was not given treatment, while the experimental group was given treatment. After giving treatment, both groups will be given the post-test to know the learning result from each group. Based on the research findings obtained from the hypothesis test, the average value learning control class is 69.88 and the experimental class is 84.90. Therefore, it can be concluded that the result of Subnetting material problem solving by using Project Based Learning module reach higher learning than the result which is not using Project Based Learning module.
Designing Google Form based Information System for Submitting Students’ Final Assignment’s Title
Authors: Widodo S R , Indrasari L D , Tripariyanto A Y , Komari A
Published: July 2020

In the study of Industrial Engineering, Kadiri University, the final assignment for the title of three titles will be proposed. The way of proposing the proposal is, when there is a decree from Kaprodi, it will be presented to students who program the final assignment, then there are three plans of title that must be proposed, then after writing three plans of the title, the data will be entered by the library attendant, then it will be listed. After being listed, the title plans are data files that will be addressed to Kaprodi. Then, Kaprodi will decide whice title that must be taken by student as well as who the supervisor is.. Observing those activities, students should come to the campus to register the plans for the titles of the assignment that must be taken. To ease the student, researchers want to design information system that will facilitate the submission of plans for the title of the final assignment in the form of links, the link is derived from Google form. With this ease, students are expected to save time, do not have to come to the campus during the registration of the final assignment title plans. Designing forms and activities, it will be simulated by system flow and data flow diagrams, to know the details of the activities that occur, because the flow of the system will be compared to conventional systems with new one. The methods are assisted by data flow diagrams, system flow, and PIECES method.
Rule Based Method in Expert System for Detection Pests and Diseases of Corn
Authors: Sumaryanti Lilik , Istanto Teddy , Pare Selfina
Published: July 2020

Corn is a multi-functional plant, both for direct consumption and as the main raw material for animal feed and the food industry. The need for corn in Indonesia, which continues to increase, needs to be balanced with an increase in production. So that various government policy strategies are carried out, in an effort to increase productivity. Constraints in the cultivation of corn, namely farmers have limitations in identifying diseases that attack plants, and ways to control pests and diseases. The purpose of this study is to propose the use of technology in agriculture by developing an expert system for the detection of corn pests and diseases, which will provide information and strategies for controlling pests and diseases, in order to reduce losses due to crop failure. The knowledge base in expert system contains a set of rules that use the IF-THEN pattern, and to reason on a rule base using forward cahaining method. Expert system is a tool to detection pests and diseases and how to control them like providing expert assistance. In addition, system also provides explanation facility related to the diagnosis results, according to the symptoms obtained from the user. The accuracy detecting pests and diseases 76.6%.
Multimedia development with web-based connected massive open online course (cmoocs) in basic physics material
Authors: Henukh A , Reski A , Nikat R F , Waremra R S , Bahri S
Published: July 2020

This study aims to develop web-based multimedia cMOOCs in basic physics material. The research method used is research and development using the ADDIE model (Analyze-Design-Development-Implementation-Evaluation). The objects in this study were 31 students in the physics education study program at the State University of Jakarta. The research instruments used were material expert validation sheets, multimedia expert validation sheets, and multiple choice questions. The results of the material expert validation showed 94.19% (very good). The results of the multimedia expert validation showed 78.33% (good). The results of the small group trial got a score of 82.67% and the results of the large group trial showed 90.03%. The results of the assessment of the effectiveness of web cMOOCs in the basic physics material I, obtained N-gain at a score of 0.786 so that it falls into the very high category.

Based on the data above, this study shows that cMOOCs web-based multimedia development in basic physics material I can be used as learning multimedia.
Optimization Naive Bayes using Particle Swarm Optimization in Volcanic Activities
Authors: Tempola F , Mubarak A
Published: July 2020

This study is a continuation of previous studies that apply Naive Bayes classifier algorithm for predicting the status of volcanoes in Indonesia based on factors of seismicity. There are 5 criteria used in predicting the status of the mountain, namely the status of normal, alert and standby. The results of the study showed that the system accuracy produced was only 79.31%, in other words, it was still at the stage of fair classification. To overcome these weaknesses so that accuracy increases, optimization is done by giving the weight of criteria or attributes using particle swarm optimization. From the results of research by applying the same data using Particle Swarm optimization methods optimization, the accuracy of the resulting system increase of to 95.65%, where the number of particles is initialized 50 and the weight range [0 2].
Emotion Mining of Indonesia Presidential Political Campaign 2019 using Twitter Data
Authors: Arifiyanti A A , Wahyuni E D , Kurniawan A
Published: July 2020

The presidential election campaign in Indonesia which was held in 2019 attracted the interest of the Indonesian people. People expressing their emotion through social media, one of which is Twitter. Supervised learning is used to classify user’s emotion of that issues. The goal of this research is extracting the emotional content in tweets. The interest is in whether the text is an expression of Twitter users’ about the presidential candidates and whether this online forum represents the election results. For this purpose, text mining techniques are performed and we will compare Naive Bayes Classifier and SVM in classification process. The result showed that Naive Bayes Classifier and SVM have good performance for classifiying text and each of classifier have not outperform the others. The result also showed that stemming step in text pre-processing do not give any significant result in model accuracy, because twitter data use informal languange like abbreviation or slang.
Video-based Tancho Koi Fish Tracking System Using CSK, DFT, and LOT
Authors: Rahmat Basuki , Waluyo Minto , Rachmanto Tuhu Agung , Afandi Mohamad Irwan , Widyantara Helmy , Harianto
Published: July 2020

In this paper, a comparison of Circulant Structure of Tracking-by-detection with Kernels (CSK), Distribution Fields for Tracking (DFT) and Locally Orderless Tracking (LOT) methods is proposed for the process of video-based object tracking. The object in question is the tancho koi fish and its variants, in the form of video recordings. All three methods are applied to trace the red roundabout in the head of the koi fish. The purpose of this study is to provide the best tracking process recommendations for this case. From the experimental results, it is found that the average sample accuracy of the DFT tracking method is more recommended than the other two methods, even though it has an average frame rate that is no better than the CSK method.
Measurement of the IT Helpdesk Capability Level Using the COBIT 5 Framework
Authors: Muttaqin F , Idhom M , Akbar F A , Swari M H P , Putri E D
Published: July 2020

Directorate Information System of Airlangga University (Direktorat Sistem Informasi Universitas Airlangga, DSI) is a unit of Airlangga University as an IT service for all stakeholders. DSI using helpdesk as an IT service to manage service request and incident. The aims of capability level measurement is to improve IT helpdesk to reach a target score. This research using COBIT 5 framework began by mapping domains through several stages. Those several stages are; stakeholder needs analysis, enterprise goals identification, IT goals identification and domain process COBIT 5 identification. The result of the mapping domain obtained DSS 02 manage service request and incident. The next stages are measure current condition capability level, determine expected level, determine gap. The results of this research using DSS 02 domain process showed a level 1 capability level percentage of 97.23% which is a fully achieved rating level and so is rated to level 1 and go to the next level assessment. Level 2 PA 2.1 capability level percentage of 80% which is a largely achieved rating level and PA 2.2 capability level percentage of 60% which is a largely achieved rating level. So, current capability level rated to level 2. The expected level is at level 3. Hence to achieve a level 3 an improvement is required by applying base practices and fulfilment work products of level 2 and 3.
Denoising Convolutional Neural Network for Fundus Patches Quality
Authors: Setiawan Wahyudi , Utoyo Moh. Imam , Rulaningtyas Riries
Published: July 2020

Image quality is one of the factors that supporting a system to perform tasks such as image classification, segmentation, and recognition. Better tasks learning needs image quality improvement. In this study, image quality improvement do by denoising Convolutional Neural Network (dnCNN). The dnCNN network include the convolution layer, rectified linear unit, batch normalization, and final regression layer. DnCNN layer configuration consists of 58 layers. The denoising image process have five steps: data access, noise image, configuration of dnCNN layer, denoised image, and assess image quality with Peak Signal-to-Noise Ratio (PSNR), Structure Similarity (SSIM), and Mean Square Error (MSE) Experiment uses public data fundus image from MESSIDOR and Retina Image Bank. Results show, average value of PSNR noisy image 20.75, PSNR denoised image 31.8, SSIM noisy image 0.92, SSIM denoised image 0.99, MSE noisy image 0.0084, MSE denoised image 0.0007.
Detection and Identification Indonesia License Plate Using Background Subtraction Based on Area
Authors: Damayanti F , Dewi W K , Rahmanita E , Rachmad A R
Published: July 2020

The increasing number of vehicles, especially four-wheeled vehicles in big cities, raises traffic problems, including toll roads. With a fast transaction process at the entrance of the toll road, it can reduce the queue of traffic congestion. For this reason, it is necessary to use a vehicle number character recognition image processing application. In this study, an application for license plate character recognition was made on vehicle images starting from the plate detection process using background subtraction. Next is the segmentation process of each character and feature extraction process using area-based features extraction. For the character recognition process, use the K-Nearest Neighbor method. The data used in this study were 50 vehicle images with each of them having 3 distances namely 50 cm, 75 cm and 100 cm. The results of this research trial showed the best level of accuracy for the detection of license plate locations is 94%, the best accuracy of segmentation per character is 71.79% and 82.59% is the best accuracy of character recognition.
Augmented Reality-Marker Detection Measurement on Heroes of Surabaya Mobile Games
Authors: Kusumaningsih Ari , Angkoso Cucun Very , Ubaidillah Ahmad
Published: July 2020

— Different arrangement in selling freemium programming application is the In-App Purchase (IAP) technique, where clients can download and enjoy the application for free; however, there are premium highlights that must be paid. We use Augmented Reality (AR) innovation into the IAP framework in the buying system of the game application, Heroes of Surabaya (HOS). The application allows user keeps run and play on the Android mobile system, but it will require AR marker cards to enable the premium feature on it. This investigation plans to test the effectiveness of AR marker cards that proposed as a substitute for computerized cash on the purchasing system of the game application. From the experimental results, the distance of the marker and the light factor are the main factors for the success-rate of the detection of the AR marker.
Mobile Expert System for Dengue Fever Based on Certainty Factor Method
Authors: Khozaimi Ach.
Published: July 2020

The development of information technology more rapidly, it can be used to study the dangers of dengue fever and know the type of symptoms that resemble dengue fever. In this research, the design and implementation of multimedia-based android application in which there are components of text, images, and animation. The purpose of designed and built application “Dengue Alert” to help users learn and do the prevention of dengue fever. Besides this application also provides information how to deal with dengue fever. This application was developed by utilising Certainty Factors method as a method of decision support. The result of this research is a mobile application that 97.6% can predict Dengue Hemorrhagic Fever (DHF) so that DHF can be detected early.
Prediction of Student Acceptance Based on Android
Authors: Syakur Muhammad Ali , Sari Rochman Eka Mala
Published: July 2020

State universities are the hope of most students who want to continue their education to a higher level after high school / equivalent. To enter college, students must take the selection test held by the desired university. For state universities the selection test is held simultaneously and simultaneously called the SBMPTN (Joint Selection to Enter State Universities). This selection is carried out nationally and the participants are all students who want to get the opportunity to enter a state university. To get results that are as expected, the participants must make some preparations including the Try Out. By doing SBMPTN Try Out, it is expected that participants can compete with other participants and can graduate according to their choice. Try Out can be done at the place of tutoring that holds it or by buying a book containing Try Out questions. Along with the development of Smartphone technology, a prediction system will be created from the results of an Android-based SBMPTN Try Out that will provide information on study programs and universities that are likely to receive. SBMPTN participant candidates can practice questions anywhere and anytime. The method that will be used is the Fisher-Yates Shuffle, which functions to scramble the questions.
Subject Scheduling Using Genetic Algorithms (Case Study: SMK Negeri 1 Labang-Madura-Indonesia)
Authors: Sari Rochman Eka Mala , Syakur Muhammad Ali , Imamah  , Rachmad Aeri
Published: July 2020

The manually scheduling system is considered less effective and efficient because it requires a long time. Problems will become more complex if the number of components or data used is increasing. The schedule is expected not only not to experience clashes, but also to adjust to some limitations that must be met. Genetic Algorithm is one of the heuristic search algorithms that are very well used in solving optimization problems. The problem of scheduling genetic algorithms is considered to have good performance in finding the optimal solution. Genetic Algorithms implement an evolutionary process by randomly producing chromosomes from each population These chromosomes produce a solution to the problem raised, namely scheduling subjects. The conclusion of this study is to be able to arrange the schedule of subjects efficiently, by overcoming obstacles such as clashing schedules without eliminating the constraints that must be met.
Implementing Method of Empirical Mode Decomposition based on Artificial Neural Networks and Genetic Algorithms for Crude Oil Price Forecasting
Authors: Herawati S , Djunaidy A
Published: July 2020

Fluctuations in crude oil prices can affect a country’s economic policies. The movement of crude oil prices tends to be nonlinear and non-stationary. One forecasting method that is intended to accommodate these traits is forecasting that integrates empirical mode decomposition (EEMD) ensemble methods based on artificial neural networks and genetic algorithms. In the EEMD method, a white noise signal is added to compensate for the mixture mode that can be formed. Each IMF and residue generated in the decomposition process are used as input to a feedforward neural network (FNN) artificial neural network to obtain forecasting models from each IMF and residue. The genetic algorithm is integrated with the FNN to avoid overfitting, the formation of local optima solutions, and the sensitivity of the selection of FNN parameters. The data in this study uses West Texas Intermediate (WTI) and Brent oil prices. The results of the performance comparison trials for several combination forecasting methods can be concluded that the forecasting results that integrate the EEMD method with JST-GA provide better results compared to the forecasting method that integrates EMD with ANN and EEMD with ANN. The forecasting method developed in this study resulted in forecasting with RMSE / Dstat values of 0.0257 / 61.5936% and 0.0270 / 72.0930% respectively for daily and monthly data from WTI oil types; and the RMSE / Dstat value of 0.0229 / 58.8128% and 0.0300 / 81.5789% respectively for daily and monthly data from the type of Brent oil.
Implementation of RC4 Cryptography Algorithm for Data File Security
Authors: Doni A F , Maria O A H , Hanif S
Published: July 2020

Communication in the digital age plays an important role, a person can carry out various transactions or exchange data practically and quickly. So as to pose a great risk to information security, ranging from misuse of access or unauthorized authority, modification, change of information, destruction to theft, this is in accordance with the main principles of data and information security ranging from Confidentiality, Integrity, Authentication, and Availability. In research that has been done using RC4 Cryptography Algorithm for Encryption and Decryption in Data Files shows that the RC4 algorithm can run well and is able to secure the authenticity of the data so it is not easily changed by people who are not responsible or people who do not have good access rights in the form text or files in several pdf, doc, Docx, Xls, xlsx or text file formats and directly affect the execution time of encrypted and decrypted files.
Comparison of Data Mining Algorithm Performance on Student Savings Dataset
Authors: Negara Y D P , Doni A F
Published: July 2020

Sabilillah Educational Cash Unit is a unit within the sabilillah educational foundation which is engaged in education. The stored cash processing data will be utilized using data mining so that it can be used as a decision support for finding information that is useful in evaluating the data used. Various methods contained in the data mining, the authors will make a comparison of the method techniques from the data mining. The use of the decision tree and, K-means method is implemented using the Rapid Miner application, which will later be analysed of each of these methods to determine the strategy to look for students who have the potential to save the hajj savings. This research was conducted with a group of data to determine the percentage value of precision, recall and accuracy. The results of this study that the C.4.5 method has a better value than other methods on the recall and accuracy, while the K-Means method has a precision value better than the other methods.
Performance of Microstrip Patch Omnidirectional Antenna with Stripline on Unmanned Aircraft System
Authors: Tholabi A T , ubaidillah A , Lancana H P
Published: July 2020

The paper is very important in designing of antenna applied for Unmanned Aircraft System (UAS) currently uses frequency spectrum allocation in the 902-928 MHz band for telemetry communication and at 2.4 GHz for radio control communication, both are irrelevant because they have the potential to be interfered with by GSM and WiFi communication. Therefore, the payload will be placed on one of the mobile service frequency allocations according to the regulation of TASFRI 2014, which is 3370 - 3400 MHz. So, we need antenna design that can work at that frequency. Because this antenna will be placed on a moving payload then needs antenna design that has minimal dimensions and omnidirectional radiation patterns is needed. This paper results that the microstrip patch omnidirectional antenna can be applied for UAS and can be optimized by stripline method.
Decision Support System for Determination of Development of Small and Medium Industries Using VIKOR
Authors: Jauhari Achmad , Suzanti Ika Oktavia , Yunitarini Rika
Published: July 2020

As a basis for regional economic growth, the existence of small and medium industries is very influential for people’s lives. But on the other hand the parties involved are very rarely optimize their potential, because of the many small and medium industries owned by the community, especially in Bangkalan Madura. One effort to overcome difficulties in optimizing the potential of small and medium industries is the application of determining the priority for the development of SMEs. This application uses the VIKOR method with the criteria of Investment Value, Production Capacity, Production Value, Value of Raw Materials and Labor. VIKOR is a ranking method using a multi-criteria ranking index based on a certain measure of proximity to the ideal solution. So this application will choose a small and medium industry that is suitable for assistance in its development. The test results show that from making this application using the Vikor method has an accuracy rate of 73%.
Web Service for Search Engine Bahasa Indonesia (SEBI)
Authors: Husni  , Suzanti Ika Oktavia , Pramudita Yoga Dwitya , Putro Sigit Susanto , Heryawan Lukman
Published: July 2020

The purpose of this research is to produce an Indonesian language search engine (SEBI) that is in accordance with the objectives of the 2016 KKNI-based curriculum. SEBI 2017 is one of the complete search engines that is able to collect web pages from the internet, do preprocessing, build indexes, handle query and categorize documents. SEBI 2017, as a prototype has shortcomings, namely time and access. Based on this, the researchers built a new architecture called the SEBI API (2018). In the SEBI API architecture (2018), the ease and breadth of access, as well as the integration of data from various applications and different owners. RESTful API added to SEBI allows SEBI to be accessed from various access devices using various programming languages, libraries or frameworks that support REST API client (consumer) functions. Broadly speaking, the 2018 SEBI architecture has been equipped with RESTful API (provider) and client (consumer) functions. After testing by entering keywords, the results show that the SEBI API architecture (2018) has been able to correct the weaknesses contained in the SEBI architecture (2017)
REST API Implementation on Android Based Monitoring Application
Authors: Suzanti Ika Oktavia , Fitriani Nurhayati , Jauhari Ahmad , Khozaimi Ach
Published: July 2020

Applications on internet are generally made with a several languages programming and must be able to run well on operating systems, even different devices. REST API is an architecture designed on a web service that has been widely accepted by the public for simple use in mobile cloud paradigm. RESTful web service works by identifies a URI (Uniform resourced Identifier) and then modify it with GET, POST, PUT or DELETE command that can be represented in several languages programming. Mobile applications nowadays are not separated from daily life community through the ease and development of technology that is increasingly rising. Monitoring is a systematic data collection activity regarding an ongoing activity. Monitoring of University of Trunojoyo Madura dormitory activities is needed so that student character education can run optimally. Constraints that have been encountered are all process monitoring is still done manually, so it required a monitoring application to facilitate monitoring data process become more qualified and simplify the entire user that occupant, caretaker or manager in conduct of monitoring entire activity in the dorm.
Finite State Automata Approach for Text to Speech Translation System in Indonesian-Madurese Language
Authors: Rachman Fika Hastarita , Qudsiyah  , Solihin Firdaus
Published: July 2020

Madurese language is one of the regional languages in Indonesia. This laguage used by the Madurese people. Preservation of Madurese language now is minimal. Many migrants come from outside Madura, so communication between the surrounding communities in the Madura region often uses the national language, Indonesian. The use of Madurese as a language of communication began to decrease. This research is an effort to preserve Madurese language by utilizing the translator system technology. Madurese language is a regional language that is difficult to learn, because there are many differences found between writing and pronunciation. To overcome this problem this reasearch develop text to speech module in the Indonesian-Madurase language translation system. There are 3 versions of Madurese language level: Enja’-iyyeh, engghi-enten, and enggi-bunten. The conversion of text into sound is used with the help of syllable recording data created by the author. The process of chopping words into syllables is done using the two-level Finite State Automata (FSA) method. The output of the first level FSA becomes input for the second level. The application of FSA in Text to Speech applications is effectively used with accuracy value of 90%. The resulting sound output is in accordance with the results of syllables, but the pronunciation of some translated sentences does not have the correct intonation. The accuracy results of the intonation pattern in pronunciation of the system is 85%.
The Sustainable Economic Order Quantity Model: A Model Consider Transportation, Warehouse, Emission Carbon Costs, and Capacity Limits
Authors: Utama Dana Marsetiya , Widodo Dian Setiya , Ibrahim Muhammad Faisal , Hidayat Khoirul , Dewi Shanty Kusuma
Published: July 2020

Recently, the problem of minimizing emission carbon in the industry has become a focus of much research. One of the efforts that were successfully carried out was managing the sustainable economics order quantity (SEOQ). However, several SEOQ had assumption such as (1) Transportation and warehouse costs are ignored, (2) Transportation emissions are avoided, and (3) warehouse Capacity Limit are ignored. In this paper, we developed the SEOQ model with warehouse costs and capacity limits. There are two proposed SEOQ models. Model 1 was the SEOQ model with Transportation and warehouse costs also emission carbon. At Model SEOQ 2, this model considered Transportation and warehouse costs, emission carbon, and capacity. We also proposed procedures to minimize total inventory costs. Finally, a numerical experiment was conducted to test the model. Based on numerical experiments, the proposed model useful to solve SEOQ problems with Transportation and warehouse also costs capacity limits.
Disaster risk mitigation design for supply chain activities in Aceh : a case study
Authors: Sentia P D , Andriansyah  , Ulya Z
Published: July 2020

Indonesia is a country located between three tectonic plates thus very vulnerable to natural disasters. Ensuring that supports for disaster victims arrive on time and precisely in quality and quantity is the responsibility of all the supply chain elements, particularly government board which handled the logistic support. The activities of the supports supply chain when a disaster occurs have several risks that must be asses and the most prioritized risk will need the mitigation design to minimize the impact of these risks. This study aims to investigate risk events and risk agents in the supply chain activities in relation to disaster management in Aceh. This study employs three government boards at the key stakeholder’s group who play a significant role in the disaster risk mitigation in Aceh. Data obtained from questionnaires are used for analysing the supply chain activities using the SCOR model and Fuzzy-Based House of Risk method. The study reveals that there are 25 risk events ad 27 risk agents which might occur in the supply chain activities during disaster in Aceh. The mitigation strategy is proposed in mind map models with a long term solution for each risk agent related to the potential risk events.
Evaluation of Hyper-Heuristic Method Using Random-Hill Climbing Algorithm in the Examination Timetabling Problem
Authors: Hermansyah Deny , Muklason Ahmad
Published: July 2020

Examination timetabling is included in the category of Nondeterministic Polynomial-Hard (NP-Hard) problems, namely problems that cannot be solved by conventional methods in finding optimal solutions. One solution to this problem is to use the Simple Random - Hill Climbing - Hyper Heuristic (SR-HC-HH) approach. But this approach still cannot produce an optimum solution. The researcher presents a critical analysis of the performance evaluation of the solution method used. The stages of this research include: (1) problem identification; (2) literature study; (3) data retrieval and understanding; (4) translation of mathematical models into data structures; (5) evaluation of the SR-HC-HH algorithm; (6) trial implementation; (7) algorithmic experiment parameters; and (8) analysis of results and conclusions. SR-HC-HH algorithm used in Hyper-Heuristics-based applications is able to solve timetabling problems in the Examination Timetabling Problem domain in the ITC-2007 dataset, but it is still not optimal. Parameters that can be changed in this study are the number of iterations (time limit) and algorithms for selection of Low Level Heuristics. Changing parameters in the trial scenario can also affect the results of a more optimum solution. The parameters to be explored in this study include LLH selection strategies and move acceptance in hyper-heuristics.
Analysis of SWOT Marketing Strategies and 7P Influence on Purchasing Decision
Authors: Komari A , Indrasari L D , Tripariyanto A Y , Rahayuningsih S
Published: July 2020

This study builds on finding out how high the demand for traditionally packaged traditional herbal drinks on purchasing decisions using SWOT analysis and the 7P model. The 7P model consists of product, price, place, people, process, physical evidence, promotion. To find out the potential of herbal medicine with a 7P and Analysis. This study uses a dependent and independent variable to determine the steps of the purchasing decision. then in the 7P model analysis, X1 variables influence purchasing decisions because Fcount = 49.707 > Ftable = 2.11. For variables X2, X3, X4, X5 does not have an effect because this beverage product is still relatively new and better marketing must be done so that consumers understand and can provide purchasing decisions that meet the expectations of producers, then in the SWOT analysis the value (X, Y) i.e. (-2, 3) which means that analyzing decisions requires a high level of loyalty towards the next research for the better result. In the future, how to sell Jamu might be maximized using online methods that are already available on websites and online stores.