bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of farmer pattern as an effort to improve farmers’ income and environmental friendliness in Bogor, Indonesia
Authors: Arifien Y , Badri I , Fitriani A 
Published: May 2020

Abstract
Setting the cropping pattern in the use of paddy fields is one of the important steps that determine the income, use, and distribution of farm labor. The study was conducted by utilizing secondary data production, cost analysis, etc. in the series 2009-2018 in Bogor Regency. The analysis uses linear programming by setting the raw area of paddy fields and paddy farmer labor as constraints and maximizing income as a goal. The use of agricultural land in the Bogor Regency continues to shrink every year. The optimal solution to the cropping pattern that is produced turns out to still leave land and labor resources, so an alternative cropping pattern is needed to utilize these resources. The recommended cropping pattern needs to be implemented through empowering farmer groups proportionally according to the area of land and labor they have.
Development of generator set operation monitoring system for performance analysis and periodic maintenance based on IoT technology
Authors: Hartono B S , Bambang P M , Wahyu B M , Pudin A 
Published: May 2020

Abstract
Generator sets or Genset, widely used as primary or backup source electric power generators. When the generator set is used as the main power to support field operations, it must be ensured that the generator set is in good condition. If the generator set in trouble when it is already in the field, it certainly will hamper the work significantly. This research developed an online monitoring system of generators operation based on the ThingSpeak, an IoT technology platform. The system can record the historical data of generators operation parameters, starting from the measurement of fuel level, engine temperature, until total energy (kWh) generated. The measurement data are used to offline analysis the performance condition of the generator or to determine the length of time to the next periodic maintenance. The development results showed the system has worked well following the design. The measurement data has been sent to the ThingSpeak IoT platform as a data logger. The data stored in ThingSpeak are the time stamp when the data received. It can be used to determine the duration of operation, fuel consumption, average operating temperature, and total energy (kWh) produced. The test results show the difference in the quality of the radiator water gives a difference in temperature gradient up to 0,8°C/kW. While fuel consumption in no-load conditions, the difference in fuel consumption is up to 0,2ml/sec.
Optimization of financial technology (fintech) with lean UX development methods in helping technical vocational education and training financial management
Authors: Hendriadi A A , Primajaya A 
Published: May 2020

Abstract
The effectiveness and optimization of financial services is one of the things that happens when there is financial technology or fintech. Various fintech services have a strategy to attract customers. One of the strategies is to offer promos to potential customers or early customers. Promos given to customers will provide maximum benefits when they use accurate type of promo on a promo provided by fintech services. Knowledge of various fintech services and a lot of promo information will provide an effective alternative for customers to use promos. For this reason, applications or software have been developed to provide information on various e-money and e-wallet services and promos. The method used is Lean UX which consists of 4 stages namely declare assumpts, Develop MVP, run experiments, feedback and user research. The result obtained on this research is a mobile androide application that can display fintech and promo information. Lean UX development is done with 2 iterations and produces features that are validly needed by the user but still need development in terms of User Experience.
Intelligence chatbot for Indonesian law on electronic information and transaction
Authors: Firdaus V A H , Saputra P Y , Suprianto D 
Published: May 2020

Abstract
In the Law Fiction Theory, it is assumed that once the government enforces legal norms at that time, everyone is considered to know the law. So that someone’s ignorance of the law cannot free him from lawsuits. This condition led to the emergence of legal cases caused by a lack of public understanding of the law. This paper introduces a potential solution by providing chatbots platforms. We propose chatbots designed to provide information, for those who need information about applicable laws. Users can ask about anything about applicable legal documents. Furthermore, the bot performs a search according to requests related to legal documents. Various request commands are given so that bots can behave like humans and provide the information needed by users. The experimental results have shown that chatbot could recognize all of the questions from user and could answer correctly.
Modeling user interface design for panic button application for deaf people using user-centered design method
Authors: Gumay M R A , Effendy V , Junaedi D 
Published: May 2020

Abstract
An emergency can occur at anytime, anywhere and at anyone. The local government offers an application called “Panic Button” as a solution to these problems. This application aims to help people who experience or see emergency conditions so that they can be followed up by the authorities. However, this application has not been targeted for disability users. The procedure for using this application still has weaknesses that make it difficult for users with hearing loss, especially when an emergency event is confirmed. Normally, emergency events confirmation uses telephone calls to the incident reporter (user). This confirmation method is a big problem for those users with disabilities to be able to confirm the details of emergency events. In this research, a user interface re-design was carried out at the application interface to be able to accommodate the users necessary. The user interface modeling is done using the User-Centered Design (UCD) method to produce a user interface design that suits the user’s characteristics and limitations. USE Questionnaire was used to test the resulting prototype and results in a usability value of 87% with an excellent category after the third iteration. These results indicate that the results of the re-design that have been done have met the needs of the deaf, with the use of appropriate communication for people with hearing loss so that they can confirm emergencies properly.
Performance analysis of video streaming service migration using container orchestration
Authors: Poetra F R , Prabowo S , Karimah S A , Prayogo R D 
Published: May 2020

Abstract
This paper proposes an implementation of container orchestration to accelerate the migration process from one cloud to another. The use of cloud computing as the infrastructure of a system is in high demand. Cloud computing has been adopted in the use of various applications that are very useful for organizations in establishing a system to reduce effort, cost, and time. The system that runs on the same cloud provider has disadvantages. If the cloud provider goes down, then all of the running services will be affected. Therefore, it is needed the solution to migrate the services to some containers with one controller. In this research, two types of architecture are compared, i.e. container orchestration architecture using Kubernetes and simple container architecture using Docker. We use Kubernetes since it is one of the most popular container orchestrators widely used in big company’s productions. The results show that the container creating time average in the container orchestration architecture using Kubernetes is 26 times faster and the percentage average of resource usage on CPU utilization is 3.6 times smaller compared to simple container architecture using Docker.
Fuzzy rule-based method for determining the educational curriculum for terrorism convicts in the penitentiary
Authors: Lolong W R J , Tangkawarow I R H T 
Published: May 2020

AbstractThe deradicalization program is run by the government against terrorism convict while in the penitentiary. The education program should be carried out by convicted individuals. To be able to achieve the results optimally, the substance of the educational curriculum applied to terrorism. The basis for its consideration based on particular criteria that give attention to the background of the convicted person. These specific criteria include the Courts Verdict, Education Level, Age, and Gender. The intended education curriculum covers life skills education, nationalism education and multiculturalism, and religious education. The purpose of the study is to determine the right curriculum for convict based on the existing criteria. We determine the curriculum using the fuzzy logic approach. The use of fuzzy rule-based methods facilitates the resolution of the right curriculum. The aim of this research insistence improves performance in the best decision making for terrorism convicts’ educational curriculum.
HR analytics: Employee attrition analysis using logistic regression
Authors: Setiawan I , Suprihanto S , Nugraha A C , Hutahaean J 
Published: May 2020

Abstract
Employee attrition can become a serious issue because of the impacts on the organization’s competitive advantage. It can become costly for an organization. The cost of employee attrition would be the cost related to the human resources life cycle, lost knowledge, employee morale, and organizational culture. This study aimed to analyze employee attrition using logistic regression. The result obtained can be used by the management to understand what modifications they should perform to the workplace to get most of their workers to stay. The data for the study were around four thousand employees, covering 261 days (one year working days) during 2015 — the data period between January and December. We use R for data integration, exploratory data analysis, data preparation, logistic regression, model evaluation, and visualization. The study has five steps: (1) data collection and business understanding, (2) data pre-processing, (3) exploratory data analysis, (4) model selection and training, and (5) test and evaluation of the model. The result of the study found eleven variables as key driving factors for employee attrition. It also showed that the model has 75 percent accuracy with 73 percent sensitivity and 75 percent specificity.
The optimalization of cosine similarity method in detecting similarity degree of final project by the college students
Authors: Purba R A , Suparno S , Giatman M 
Published: May 2020

Abstract
Technology development makes everything unlimited. Everyone easily to gets information. There are negative and positive impacts. The one negative impact is plagiarism the work of others. Of course this brings a bad impact. This study aims to examine the similarity of Student Final Reports at the Politeknik Unggul LP3M Medan. The method used is the Cosine Similarity Method. This method was chosen because it works based on mathematical calculations. How it works is by comparing the final project done by students with the final project that has been there before. With the Cosine Similitary Method, percentage of similarity will be obtained. If the similarity is high, the final project is said to be tracing.
Predicting the loan risk towards new customer applying data mining using nearest neighbor algorithm
Authors: Samsir S , Suparno S , Giatman M 
Published: May 2020

Abstract
Unstable economic conditions require Bank must be careful in deciding towards lending customers. Banks should not take the risk of giving loans to customers who cannot afford to pay. This study aims to assist bank in predicting lending. The study was conducted at the Bank Perkreditan Rakyat in Medan. The study was conducted applying data mining using the nearest neighbor algorithm. This algorithm was chosen because the nearest neighbor can calculate the closeness between new cases and old cases based on matching weights from a number of existing features. This algorithm will calculate the closeness with predetermined criteria. Hoped bank will be helped in making predictions.
Parking slot detection system based on structural similarity index
Authors: Adi G S , Fadhlan M Y , Slameta S , Rahmatullah G M , Faturahman A 
Published: May 2020

Abstract
A quest of vacant parking space in the public area can indirectly lead to traffic congestion which can be troublesome for drivers in terms of time efficiency. This study is expected to assist drivers to get the available parking slots information in a real-time manner and support the parking control systems by constantly updating the information of vacant parking slots positions in public areas. A vision-based parking slots recognition method is proposed to identify occupied areas by vehicle which is divided into two main parts: setup configuration and object detection. Canny Edge and Hough Line Transform are used to achieve line detection for parallel parking slot marking; contour extraction and bounding rectangular are then applied for an initial parameter to form a reference area as a region of interest (ROI). Moreover, Structural Similarity Index Measurement (SSIM) exploits the reference image and target image to identify whether the area is empty or occupied by vehicle depending on structure comparison. Experimental result shows, from 50 sample images of parking slots attained by surveillance camera, the detection accuracy of 92% and precision of 89% are obtained using selected features with tuning SSIM threshold level of 0.4.
Certainty factor and dempster-shafer method analysis for early detection of final year student depression
Authors: Sari R D , Rahmadani R , Putri T T A , Hutahaean H D , Sriadhi S 
Published: May 2020

Abstract
Academic loads in writing a thesis cause difficulties to students to complete their studies. This problem can be solved with the application of an expert system with early detection of depressive final-year students that compares Certainty Factor method and Dempster-Shafer method. Certainty Factor method used to measure facts certainty or rules in defining the level of expert confidence, while the Dempster-Shafer method combines uncertainty that has characteristics according to the way of thinking of experts but has a mathematical basis. The purpose of comparing these methods is to get the most appropriate and best method for early detection of depression. The methodology used in this study is a comparative test between two methods, with a mechanism (1) Collecting data related to the depression of final year students; (2) Data acquisition and weighting of confidence values; (3) Calculate formulations from both methods; (4) Perform a comparative test to obtain conclusions. Certainty Factor method is the most appropriate and the best model in early detection of depression, because Certainty Factor method revealed that the more symptoms are given, the higher the probability of detection of depression.
Analysis of student satisfaction of UPI SPOT e-learning services in UPI postgraduate Bandung, Indonesia, using the Fuzzy-Servqual Method
Authors: Prayudha A R , Sumarto S , Abdullah A G 
Published: May 2020

Abstract
This article analyzes the level of student satisfaction in using SPOT UPI Bandung e-learning services. Student satisfaction is taken by distributing questionnaires to respondents. This article compares perceptions with students’ expectations in using SPOT UPI Bandung services using fuzzy-servqual. Fuzzy-Servqual method can overcome the subjectivity problem of respondents in providing an assessment to fill out the questionnaire. The sample of this study amounted to 41 people using simple random sampling technique. The results showed that the gap value for postgraduate student satisfaction with SPOT UPI Bandung services was still high at -1.584 with a perception value of 7.695 and an expectation value of 9.277. The main conclusion of this study is that UPI Bandung graduate students who use SPOT e-learning services have not felt satisfaction in using SPOT UPI Bandung e learning services.
Security audit in cloud-based server by using encrypted data AES -256 and SHA-256
Authors: Husni M , Ciptaningtyas H T , Suadi W , Ijtihadie R M , Anggoro R , Salam M F , Arifiani S 
Published: May 2020

Abstract
Cloud service provides access to servers, databases, storage, and any application services over the Internet. Cloud computing allows users to store their data in the servers. This will ease user to access the data everywhere by only using the internet connection from any devices. Cloud service allows users to run application to many mobile users or to support business critical operations. Cloud service also provides rapid access to the flexible and low-cost IT resources. By using the cloud service technology, there is no need to invest a hardware and spent much time to manage that hardware. Although cloud technology has many advantages, there are also some disadvantages such as some security issues. The usage of internet connection gives a high risk in cyber-attacks. Sometimes the cloud service provider also misuses the data stored in the server. This paper proposes the integrity verification of data stored in the server by using Hash function SHA-256 and AES-256. The proposed scheme combines the mechanism of encryption as a strategy to verify the data integrity. This method will encrypt files stored in the servers that aims to ensure the integrity of file stored. This research is expected to help use to secure their data.
Development of geographic information system based on website in the field of education
Authors: Sahiundaleng R P , Widiaty I 
Published: May 2020

Abstract
The purpose of this study is to obtain information on the development of Geographic Information System (GIS) with various methods in GIS, namely ArcView and ARCGIS and Website-based in the world of education that can be accessed anywhere during the internet connection. The technique used in this paper is Study Literature, using examine international and national journals published in 2015 - 2019. The results of this study are information about the use of GIS in the field of education with various benefits and constraints.
The effect of computer-based learning on learning outcome of diesel engine learning
Authors: Barokah B , Kaligis D D , Rompas P T D , Wibisono Y , Wiratno W , Batubara R W 
Published: May 2020

Abstract
Development of the world has been influenced by science and technology and one of those is educational technology. Educational technology is a science which consists of various domains supported by the utilization domain. This research focused on the use of learning media. The purpose of this research is to determine the model of learning media which is relevant to the characteristics of students in diesel engines lesson and to find the influence of multimedia for the learning outcome of the diesel engines learning process. The method used in this research is the experimental method. Tests were carried out in two groups; multimedia = the control group is using conventional learning, the conventional group = the treatment group is learning using multimedia. Data were analyzed using the t-test Two Samples assuming data were normally distributed. The t-test is carried out using the SPSS 15 program for Windows. In learning with multimedia, this shows an increase in learning outcomes. The correlation between the second sample shows a very close relationship between conventional learning and multimedia learning. Because the probability is smaller than specified then Ho is rejected and Ha is accepted. Multimedia learning can improve learning outcomes. This should be true for other lessons.
Improving knowledge about Indonesian culture with augmented reality gamification
Authors: Sudarmilah E , Irsyadi F Y A , Purworini D , Fatmawati A , Haryanti Y , Santoso B , Bakhtiar D N , Ustia N 
Published: May 2020

Abstract
Digital technology cannot be dammed or avoided, moreover, the current generation of children is a native digital generation is those who are born very close to the world of digital technology such as smartphones, laptops, digital applications, internet access, and others. This may affect the attitudes and behaviors of children in both positive and negative impacts. However, we can act wisely, not by alienating or avoiding children from technology but by providing education about technology (digital literacy) and directing video game access to positive video games that are beneficial. The method used in this research is Research and Development with a modified SDLC (Software Development Life Cycle) development model in the development of Augmented Reality (AR) educational games. This study also uses a pre-test-post-test group matching design to analyze the increase of elementary school students’ knowledge in learning about Indonesian culture. The measurement results of student learning outcomes are carried out by giving tests in the form of multiple choice. The statistical analysis used in this study is the validity test and Wilcoxon Signed Rank test. Validity testing shows 93.33% of the questionnaire items are valid. The results of the Wilcoxon Signed Rank test analysis obtained a significant value of 0,00 <0.05, then it was stated that there were differences in the average student learning outcomes for pre-test with posttest (increased). This research concludes that after the use of AR Edugame learning media, it has an influence compared to before learning with the media. This shows there is an increase in student learning outcomes.
Retrofit propane for monitoring production process in C3 splitter in a private company in Indonesia
Authors: Dewi A K , Wadjid Y K A , Heriyanto A 
Published: May 2020

Abstract
In propylene products, there is still a small proportion of propane which still the impurity of the propylene. Therefore, a tool for monitoring is needed while controlling the content of impurities (propane) so that the propane content in propylene is within the permissible tolerance, a maximum of 0.4 vol%. The tool that can be used to analyze the propane content in propylene is the Online Propane which works continuously for 24 hours. Need to installation of the Online Propane. However, the installed propane often fails (downtime) caused by the inability of the oven (heater) to maintain the temperatures stability in the column at a temperature of 60 °C, so that the column is unable to separate the propylene components mixed with propane properly. Frequent down time on the causes the installed propane to be poor and unreliable. The value of reliability tests with existing data is only 60.51%, under the IEEE 1336-2000 standard. it is important to do a retrofit to improve the s performance in maintaining the quality of propylene according to the design, to facilitate the operator in monitoring the process and to facilitate technicians in performing preventive maintenance.
Microwave amplifier design using high mobility electron transistor
Authors: Sutrisno S 
Published: May 2020

Abstract
Microwave amplifier is a radio frequency device used for many applications in telecommunication technology such as C Band weather radar application. The microwave amplifier usually exists in transmitter section to amplify weak signal that will be delivered to antenna. This paper discusses design and fabrication of a microwave amplifier using High Mobility Electron Transistor (HMET) CGH40006P. The reason using such kind of transistor is due to its high gain and linearity. In order to achieve maximum power transfer at frequency of 5.6 GHz. The amplifier is constructed in cascade architecture using the same type of transistors. Open ended single stub matching impedance networks are applied in this design as well. Based on measurement result, power gain of 21 dB is obtained for +20 dBm input power with Voltage Standing Wave Ratio (VSWR) of 1.1 and 13 dB noise figure.