bluuebunny/crossref_metadata_2025 huggingface dataset:
Architectural Models for Predicting the Amount of Natural Disasters and their Effects Using Batch Training
Authors: Ginantra N L S R , Kesuma S , Achmad Daengs G S , Bhawika G W , Mulyani N , Hasian I , Siagian Y
Published: July 2020

The Batch Training method is one of the methods of Artificial Neural Networks that can be used to make predictions, especially in times series data. This method is able to make predictions by learning from data that has never happened before by forming the right network architecture model. Therefore, this research will discuss the best network architecture model that is appropriate for making predictions using the Batch Training method. The data used in this study is the data of Natural Disasters in Indonesia, sourced from the National Disaster Management Agency. There are 12 variables used, namely Time of disaster, Number of disasters, Death and missing victims, injured victims, victims suffering and displaced, seriously damaged houses, lightly damaged homes, submerged houses, damage to health facilities, damage to worship facilities, and damage to facilities education. Based on this data will be formed and determined the network architecture model used, including 4-5-1, 4-10-1 and 4-15-1. From these 3 models after training and testing, the best architectural model is obtained 4-10-1 with an accuracy level of 91% with MSE Training and testing values of 0.0245532940 and 0.0579265906.
Outcome Prediction Using Naïve Bayes Algorithm in The Selection of Role Hero Mobile Legend
Authors: Chan A S , Fachrizal F , Lubis A R
Published: July 2020

According to the e-Marketer market research institute, the net population of the country reached 83.7 million people in 2014. With this amount, Indonesia has been included in the 20 most internet user countries in the world. MOBA is currently in great demand. The high level of competition of this type of MOBA game attracts a lot of game players’ attention to tournaments or competitions officially both regionally and internationally. In 2013 there were around 71.5 million e-Sports enthusiasts around the world. Every year the number of Indonesian gamers is estimated to increase by around 33 percent. With a growth of 33 percent, this certainly makes a great opportunity for game developers. Currently, the games circulating in Indonesia is mostly from foreign countries such as America, Japan, and South Korea. Each hero has a different role (ability). The foresight of players and the ability of individual skills are determined by selecting the composition of hero roles on a team to achieve victory in the legendary mobile gameplay. Naive Bayes Classifier is the simple Statistical Bayesian Classifier. Naive Bayes is able to classify role heroes well enough to predict the victory based on the role hero chosen by the player. Naïve Bayes implementation can explore the characteristics of the attribute and dataset of the chosen role hero. Naïve Bayes algorithm method can predict the Victory in mobile legend gameplay from existing hero roles based on datasets and training data.
Application of Blended Learning Supporting Digital Education 4.0
Authors: Jaya Saragih Maradoni , Mas Rizky Yohannes Cristanto Raden , Effendi Yusri , Zamzami Elviawaty M.
Published: July 2020

The learning process undertaken by each school is face-to-face between educators and students; of course, this method will lose its appeal to meet digital education 4.0. So that education personnel and students should be able to adjust the p Indonesia Economic technology and information that constitute a significant role as a medium for help, search, analyze, and obtain information about learning. The learning process to welcome digital education 4.0 cannot be separated from various computer devices, the internet, which can be done online (e-learning). To get good learning outcomes, of course, technological development (e-learning) must be able to benefit right, without having to leave face-to-face learning (face-to-face). For this reason, there are teaching models/strategies, teaching delivery, and the right quality of teaching, one of which is the Blended Learning Model. Blended learning is a learning model that combines the advantages of face-to-face learning models with e-learning learning models. With blended learning interaction and communication between educators and students can take place because this model is one of the active learning methods to deal with digital education 4.0.
The Content Analysis of Electoral Act in Indonesia: The Comparison of Percent Agreement and Cohen Kappa
Authors: Lubis Muharman , Ridho Lubis Arif , Rosmaini Elly
Published: July 2020

This study investigates the legality of practitioners in interpreting UU PP (Electoral Act) to provide guidance in technical and managerial aspects especially in relation with principle of privacy by applying content analysis with percent agreement and Cohen Kappa. Thus, this study design code paper to be distributed to 21 coders to gain more understanding the approach which is appropriate to synergize various interest in election to bring more appropriate management to align with voters expectation especially in regard to privacy policy. The highest disagreement among coders occurred between coder 8 and 20 with -0.285 of Cohen Kappa and 0 of percent agreement while the highest agreement between coder 2 and 7 with 0.727 of Cohen Kappa and 93.2 of percent agreement.
An Evaluation of the Udacity MOOC based on Instructional and Interface Design Principles
Authors: Anyatasia F N , Santoso H B , Junus K
Published: July 2020

Since the first appearance of the Massive Open Online Course (MOOC), the problem of low completion rates in MOOC has often been an object of research in terms of the instructional design and interface design. However, in-depth studies that examine the implementation of instructional and interface design principles in learning on the MOOC platform are still limited. Therefore, the purpose of this study is to find out the extent of Udacity in applying those principles from the Indonesian perspective. This study also aims to evaluate the usability of the MOOC platform. There are 228 participants in this study from various regions in Indonesia. The study findings indicate that Udacity has been successful in implementing content, interactivity, and course design, but there is still room for improvement in terms of instructor presence. Some usability problems were also found, and most of them are related to the online discussion forum. This study also offers an alternative design and recommendations to tackle the problems.
Lecturer and employees presence system based on GPS using a fingerprint on mobile devices
Authors: Tanjung K , Gumelar W , Fahmi F
Published: July 2020

The lecturer and employee attendance system that is widely used today is the system using a fingerprint device that is placed in every department or faculty. This system has shortcomings such as the limited availability of fingerprint scanners, the presence of presence equipment that is far from the work location, and dependence on the presence tool. So with this weakness, the presence application system is based on mobile apps that use GPS and fingerprints to facilitate lecturers and staff in making a presence while in the presence area or where they work. With this system, this will make the presence and processing of presence data more accessible and more efficient, so that it can help maximize the process of gathering and processing the presence data. From the system testing, the system can process employee data, display the results of the daily attendance, and can store the results of the presence and obtained system sensitivity of 65%, specificity of 70% and system accuracy of 72%.
Collaborative Recommendation System in Users of Anime Films
Authors: Girsang A S , Al Faruq B , Herlianto H R , Simbolon S
Published: July 2020

The recommendation system is one method to know the preference consumer by showing the potential object. This recommendation also helps the consumer gets the preference object. One of the popular objects in the recommendation is anime film. In this case, we conduct research to recommend anime films based on ratings of previously watched films. Collaborative filtering is a technique that consists of calculating similarities, predictions, and recommendations. This study is taken from dataset Kaggle which consists of 73,516 users and 12,294 anime. A user’s history will be matched with the whole user’s history with alternating least squares (ALS) method. The anime will be recommended based on that results. This method is expected to help millions of users find the desired anime.
Implementing DSDM and OO Method to Develop Billing in Mental Hospital
Authors: Rohajawati S , Rahayu P , Akbar H , Indria S , Sensuse D I
Published: July 2020

At present, there are many Information Systems Development methodologies. However, we have to select the suitable one related to the problems. This paper presents an implementation of the Dynamic Systems Development Methodology (DSDM) and Object-Oriented (OO) as two combine methods to develop an application of billing in a mental hospital (study case in Indonesia). The application allows the management of the mental hospitals to control and evaluate patient services, and it supports decision-makers for improving the organization. Based on literature studies, we obtained the suitable two methods for DSDM adjusted to the resources, the time frame, the goals, and the required functionality. Meanwhile OO is a highly iterative approach. Data results of the interviews, questionnaires, observations, and artifacts were analyzed according to the user requirement process. The study can be concluded that DSDM and OO method is effective in developing an application. The paper depicted problems in facts finding.
On using Euler’s Factorization Algorithm to Factor RSA Modulus
Authors: Budiman M A , Zarlis M , Sitompul O S , Mawengkang H
Published: July 2020

The RSA public key cryptosystem was among the first algorithms to implement the Diffie-Hellman key exchange protocol. At the core of RSA’s security is the problem of factoring its modulus, a very large integer, into its prime factors. In this study, we show a step-by-step tutorial on how to factor the RSA modulus using Euler’s factorization algorithm, an algorithm that belongs to the class of exact algorithms. The Euler’s factorization algorithm is implemented in Python programming language. In this experiment, we also record the relation between the length of the RSA moduli and its factorization time. As a result, this study shows that the Euler’s factorization algorithm can be used to factor small modulus of RSA, the correlation between the factoring time and the size of RSA modulus is directly proportional, and better selection of some Euler’s parameters may lead to lower factoring time.
Land Suitability Analysis of Over the Horizon Surface Radar for Sea Defense using Geographic Information System
Authors: Kurniawan F , Bura R O , Lestari A A
Published: July 2020

Study of Land suitability using Geographic Information Systems (GIS) is a way to determine the location for many fields, including in the defense field. The Sunda Strait is part of the international shipping route where there are several cases of international smuggling in this region, so that it becomes a concern for Indonesia defense. The concept of marine defense by applying Radar is something must be done at this time. Over The Horizon (OTH) Surface Radar is a type of High-Frequency (HF) radar with a detection distance that goes beyond the earth horizon. Research on OTH Surface Radar Placement is something that can be done at this time, considering Indonesia has not applied it at this time. The method used in this study is to determine the best placement by comparing the parameters of two types of OTH Surface Radar that have been used in other countries to determine the criteria of placement parameters. The analysis process will use the Analysis Hierarchy Process (AHP) by determining the importance of the parameters for OTH Surface Radar Land Suitability. The GIS process is carried out using the Overlay method which is used to determine the suitability based on a matrix of geographic parameters obtained between weight and class. The result is one suitable location to be the main area in the placement of OTH Surface radars for defense in the Sunda Strait located in the district of Pulo Merak, Serang Regency.
Modeling And Simulating The Design of Air Defense Missile Aerodynamic Systems
Authors: Harahap A I , Bura R O , Ruyat Y
Published: July 2020

This paper is an academic study that discusses how to design air defense missile modeling and simulation, as a missile development strategy for the Indonesian National Army. Aerodynamic is the most important part of missile development, which regulates lift, drag, thrust and other parts that interact directly with air. The success of developing a rocket that has reached level 7 technology mastery readiness (Prototype Tested), can be a starting point to seriously initiate the development of Indonesian Missiles. The initial design process was based on the specifications of the 122 mm caliber defense rocket, the length of 2810 mm, the weight of the 60.8 kg rocket and the 15 kg warhead with an overall range of 30.5 km that would be adjusted to the initial configuration of the air defense missile. Aerodynamic testing will be carried out on Solid Work, Ansys and Missile Datcom software which will be compared with the results of each other. This development strategy can optimize the rocket products that have been successfully developed by Indonesia, because the sustainability of the rocket mastery will be very useful to be used as a basis for missile development, specifically in terminal air defense missiles, which is the weak point of Indonesia’s air defense today.
An Analysis of Haskell Parallel Programming Model in the HaLVM
Authors: Cheon Junseok , Kim Yeoneo , Hur Taekwang , Byun Sugwoo , Woo Gyun
Published: July 2020

Recently, cloud computers are widely used due to the development of computing environment and network speed. Unikernel is considered to be an attractive operating system in the manycore environment that effectively provides cloud computers. HalVM is a unikernel coded in Haskell. In this paper, we analyze the performance of Haskell running in a unikernel, which has shown good parallel programming performance in a manycore environment. In this paper, we analyze the performance of Haskell running in a unikernel, while Haskell has shown good performance in a manycore environment. To do this, we select HaLVM as the target operating system and analyze the performance by testing various Haskell parallel programming models. Test result shows that HaLVM is scalable only on IVC. We also implement a library to make programming with IVC more convenient, and use this library to compare extensibility experiments. Our test shows HaLVM’s scalability is 112.42% higher than Linux environment.
A Crypto Compression System Using ElGamal Public Key Encryption Algorithm and Even-Rodeh Codes
Authors: Budiman M A , Zamzami E M , Ginting C L
Published: July 2020

Confidentiality and size of data are some significant aspects in data exchange. Public key encryption algorithms, such as El-Gamal is known as to preserve confidentiality. On the other hand, public key encryption algorithms tend to increase the size of the encrypted data, making it difficult to transmit to the other party. This research will combine the ElGamal public key encryption algorithm with Even-Rodeh codes. ElGamal is used to secure data and Even-Rodeh codes are used to compress data. The parameters is being tested are the compression ratio and space savings. In this research, we will do an experiment that includes some data texts from Artificial Corpus. The results show that the crypto compression system can reduce the size of the transmitted data and the transmitted data could be revert back to the original data while still maintains its confidentiality.
Relational database reconstruction from SQL to Entity Relational Diagrams
Authors: Hakim Lubis Juanda , Muisa Zamzami Elviawaty
Published: July 2020

The absence of requirement documents or incompatibility of the requirement documents with existing software can be a problem in developing or maintaining software. Without knowing things that become requirements can cause software as a product that fails because it does not meet customer desires. One of the main problems in developing or maintaining software is that developers do not know the entity relational schema of the software. So developers will prefer to rebuild from scratch. This paper discusses database reconstruction from SQL to entity relational diagrams by identifying the primary and foreign keys of SQL sampling.
Performance Analysis of Start-Step-Stop Codes and Gopala-Hemachandra Codes2 (GH-2(n)) Ascompression Algorithms on Text Files
Authors: Budiman M A , Herriyance  , Khairunnada
Published: July 2020

Data compression was born as a solution to human needs for digital data. This research compares two compression algorithms, namely the Start-Step-Stop code algorithm and Gopala-Hemachandra codes 2 (GH-2 (n)) algorithm in the case of text file compression. compression ratio (CR), space savings (SS), bit rate and running time are calculated in the test as consideration to compare the advantages of both algorithms. Tests carried out using homogeneous strings, heterogeneous strings and artificial corpus. In homogeneous string compression, both algorithms have the same advantages because the value of CR, SS and bit rate are the same for each number of strings used. From the time of compression, Start-Step-Stop algorithm faster than the Gopala-Hemachandra algorithm. Testing of heterogeneous strings found that the Start-Step-Stop algorithm is superior to the Gopala-Hemachandra algorithm because it can save more storage space.
Information visualization of metacognitive skills during the software development process based on an adapted engineering design metacognitive questionnaire
Authors: Adisurya R R , Santoso H B , Fadhilah S , Lawanto O
Published: July 2020

In software development, either alone or in a team, there are many aspects that determine the success in developing the software, including each developer’s skills. Studies show that the application of metacognition can increase the effectiveness and efficiency of software development. To measure a metacognition skill, there need to be a metacognition measurement tools. One example of this measurement method is adapted engineering design metacognitive questionnaire. However, the respondents feel that existing tools still have not given them any benefits. This research is conducted to develop an information visualization tools for the metacognition measurement from an adapted engineering design metacognitive questionnaire. The research was performed using qualitative method adapted from the user-centered design approach, which is user requirement analysis, design alternatives, prototyping, and evaluation. The finding suggests that with information visualization, the students as the respondents feel the benefits of filling the EDMQ questionnaire. However, from the design standpoint, there are still numerous things that can be improved to make the visualization more informative.
Analysis of Drug Abuse Users in North Sumatera With K-Means Algorithm
Authors: Sharif Amer , Amelia Savittri Selina , Kemala Putri Syarifah
Published: July 2020

This study aimed to analyse the background of drug abuse users to provide an overview of drug abuse patterns in particular with sampling from North Sumatera, Indonesia. Data was obtained from several Medan Rehabilitation Centers. K-means clustering model was selected for data modelling. The results of the algorithm showed which city has the highest drug abuse users and the educational background of drug abuse users.
Personal Data Protection Paradox towards the Electronic Platform Engagement
Authors: Lubis Fahrurrozi , Lubis Muharman
Published: July 2020

Privacy paradox can be defined as the implication at the high intense interaction as the customers and market demand over the utilization of IT to provide online type of persona as the representative of certain people in the digital life while simultaneously protect their identities against potential threats but at opposite way lead to improper use of the system. Thus, this study want to explore the paradox exist in the process of protection the personal data in utilizing service or features in the electronic platform.
Hiding and Data Safety Techniques in Bmp Image with LSB and RPrime RSA Algorithm
Authors: Hardi S M , Masitha M , Budiman M A , Jaya I
Published: July 2020

Image is a form of visual data or information that is often used today. Sending data or information can be done in various ways and anyone. However, not all contents of existing information are public. It is not uncommon that information is misused by irresponsible parties. For this reason, security is needed for confidential information. This image security can be done with Steganography Technique. Steganography technique is a method for hiding information in an image. The method used is the LSB (Least Significant Bit) method. Where every bit lowest in the image media bytes will be replaced with the message bits that will be inserted. The bit used is the last bit of the RGB binary. The goal is that the message sent by the sender cannot be known by a third party, and can arrive safely to the recipient of the message. To make the confidentiality of messages more secure, it is necessary to hide the existence of messages to overcome the weaknesses of the LSB method used, so the authors combine them with the RSA RPrime algorithm (Rivest Shamir Adleman) for the encryption and decryption process. The security of the RSA RPrime algorithm lies in the level of difficulty in factoring non prime numbers into prime factors. The longer the key bits, the more difficult it is to solve because of the difficulty of factoring these two very large numbers. The results showed the test using a document file 2.93 MB with cover image size of 5760 x 3840 pixels, where in the larger the file inserted, then the time of encryption and decryption process is also long.
Identification of Tuberculosis (TB) Disease Based on Lung X-Rays using Extreme Learning Machine
Authors: Nasution M K M , Elveny M , Hardi S M , Jaya I , Siregar M A
Published: July 2020

Tuberculosis is a disease caused by a bacterium called Mycobacterium Tuberculosis. Most Tuberculosis bacteria not only attack the lungs, but also attack other organs. Tuberculosis disease can spread and contaminate through the salivary and bacterial when the sufferer coughs and sneezes. Thus, the contagion of tuberculosis can take place either through contact directly with the sufferer or through the air. The examination system of Tuberculosis is still done manually. Therefore, a computational method is necessary to examine and identify Tuberculosis suffered by the patient through X-ray images of human lungs. The method used in this research is the Extreme Learning Machine. Lung X-ray images are used as input for image processing. The steps taken before identification were image pre- processing and Thresholding. The external results of this research include HKI in the form of software (registered), international conference presenter (done). In addition, the results of this study can assist public in determining the types of tuberculosis suffered so that it will be more efficient in early treatment of the disease.
Designing Mobile-apps for context-aware notification: case study Merapi Volcano
Authors: Paputungan Irving V , Dirgahayu Teduh , Hendrik  , Setiaji Hari
Published: July 2020

The need for disaster preparedness becomes very important in Indonesia. Due to its geographical situation, within a ring of fire, Indonesia is prone to several disasters such as earth-quake and volcano eruption. This paper presents the design of a context-aware system to pre-emptively notify and provide some information to the population around Merapi volcano. The information contains some dangerous area and safe-place/shelter based on the user location. The proposed design can also notify the level of danger that might be encountered by the user and the mitigation path within a certain distance.
Nonlinear evolution of bichromatic waves based on the fifth order solution of benjamin bona mahony equation
Authors: Qausar Haves , Zahara Yulia , Ramli Marwan , Munzir Said , Halfiani Vera
Published: July 2020

This research concerns on the influence of higher order solution to nonlinear evolution of bichromatic waves based on Benjamin Bona Mahony (BBM) equation. Asymptotic method was applied to determine the solution expanded to the fifth order. In previous researches, this method was applied on the same equation to find its solution up to the third order and it was obtained that the waves underwent deformation and amplitude amplification affected by the occurrence of a pair of side bands during their propagation. In this study, the effect of the higher order solution on the increasing amplitude was observed. A quantity called as Maximal Temporal Amplitude (MTA) was measured to find the maximum position where the highest amplitude occurred and the Amplitude Amplification Factor (AAF). MTA gives information about the waves’ highest elevation at every spatial position during the observation time. The analysis includes comparison between the third and fifth order solutions in their contribution to the rise of the amplitude and the maximum position.
User Experience in Excavator Simulator using Leap Motion Controller in Virtual Reality Environment
Authors: Nainggolan F , Siregar B , Fahmi F
Published: July 2020

The risk that could happen in operating heavy machinery, such as excavator, can be avoided by doing special training to the operator. The operator of an excavator can learn the use of each joystick and lever in excavator by using a virtual reality without worrying about any damage. A virtual reality controller, such as Leap Motion Controller, can improve human computer interaction. To get a result of user experience in an excavator simulator, a survey of user agreement level and user satisfaction is required. The result of this research is none of the statements in the survey has an average score of 4.
Mapping of Traffic Accidents in Labuhanbatu Regency using GIS Support
Authors: Watrianthos Ronal , Bobbi Kurniawan Muhammad , Kusmanto  , Budiman Syahrul , Ulya Basyarul
Published: July 2020

Labuhanbatu Regency is a regency located in the North Sumatra province of Indonesia. This regency is crossed by a national road across Sumatra that connects provinces on the island of Sumatra. This has led to an increase in traffic accidents in this region. The number of accidents reached 114 accidents in the official police report for 2018. This study discusses locations that have a high frequency of accidents and represents them in the form of spatial data. The data used is based on the official report of the accident from Labuhanbatu Resort Police in 2018 which consists of 3 attributes namely, accident id, time of the accident, and location of the accident. The method used is to create a density map to calculate complexity in certain areas using Quantum GIS. This study uses the Kernel Density Estimation (KDE) method with a search bandwidth in an area of 300 meters. The results of the study are accident heat maps for the study area and related to the inputted attributes. The highest heatmap in the Bilah Hilir and Panai Tengah sub-districts with 25 attributes and 24 accidents included. The use of heatmap can produce spatial data that is easier to understand because it’s clustering from the same area. In this study, clustering is done based on the time of occurrence to obtain a heat map in red to black for the density level based on the frequency of accidents.
Plant Classification Based on Extraction Feature Gray Level Co-Occurrence Matrix Using k-nearest Neighbour
Authors: Yustika Manik Fuzy , Kana Saputra S , Sartika Br Ginting Dewi
Published: July 2020

Indonesia is one of the countries with high plant diversity. Almost every region in Indonesia has distinctive plants and may not be present in other countries. Based on these facts required a strategic step to record and identify plants in Indonesia. One method that can be used to leaf image feature extraction is the Gray Level Co-occurrence Matrix (GLCM). This research will implement k-Nearest Neighbor (k-NN) method to classify type of plants based on leaf texture. The classification result based on GLCM using k-NN classifier showed that the accuracy using k = 3 was 83%. The use of parameter k influence classification results, the greater the value of k then the accuracy would be smaller. Classification errors for some types of leaf images occurred because the value extraction traits generated by GLCM was very similar and had a small range of values.
Evaluating Sensors in Modern Smartphone to Damaged Road Features
Authors: Timanta Tarigan Jos , Elviwani  , Sahputra Ardi
Published: July 2020

The current modern smartphones have been equipped with multiple sensors to add the functionality of the phones. Two of the most significant sensors, accelerometer and gyroscope, are intended to sense the movement and orientation of the phone. We performed research to evaluate the capability of these two sensors to detect a road’s quality, which can be used to generate a map of road quality in a certain area. The research is done by placing the mobile phone in a flat area inside the car and ride the car through roads with various quality, especially the damaged ones. We collected the value of both sensors when passing through hollow, bumpy, and cracked roads with several variations of speed. Based on our test, we conclude that this method is not effective in detecting the quality of the road since it is hard to differentiate the data from other behaviours such as accelerating, braking, turning, or even the car vibration. In this paper, we present the method used to perform this research and the collected data that may help our conclusion.
Real-Time Routing Protocol for Music Application With Multiple Outputs
Authors: Timanta Tarigan Jos , Herriyance  , Pradana Washitha Nala Kris
Published: July 2020

We present a client-server based smartphone application that act as a music input device with several outputs. The application allows user to interact with one phone as the input and the server and hear the sound from several connected smartphones that act as clients. Since transmitting data may require some time, we need to deal with transmission delay. Hence, we developed an algorithm to detect the delay and synchronize these values between all connected devices. By agreeing to a single delay value, we were able to minimize the difference in playtime between server and connected clients. We performed the test by building an Android-based smartphone application, installing it to multiple devices, and connecting them to a WiFi-based local area network. The test shows that our proposed system has successfully reduce the difference between devices and the connected devices were able to produce sounds with insignificant delay.
Multi Patch 3D Terrain Representation for Collaborative Terrain Editor
Authors: Tarigan J T , Sitompul O S , Zarlis M , Nababan E B
Published: July 2020

In this paper, we propose a method to represent a new method to represent large-scale 3D terrain efficiently to be used in a client-server collaborative terrain editor. The objective is to design a terrain representation that allows changes to be distributed between connected clients without throttling the bandwidth. The method divides the terrain into smaller patches so it can be streamed partially to connected clients. Moreover, we also reduce the data representation by using 8-bit values and modify the terrain representation to decrease the inaccuracy caused by data reduction. We present a thorough description of the proposed method and a demonstration of the technique in a practical collaborative 3D terrain editor application. We performed several tests with different terrain specifications and measured the interactivity level of the application. Based on these tests, we can conclude that the proposed method is capable of reducing the time-to-interactive of the application and consequently increasing the interactivity level of the system.
Integrated Virtual Communities into User Group Management System (UGMS) for Smart Cities
Authors: Adam Prasetyo Yuli , Lubis Muharman , Azani Hasibuan Muhammad , Fauzi Rahmat
Published: July 2020

Society as a collection of people who are connected together based on certain understanding and bind by the regulation is adapted to perform multiple functions that for the sake of engaging technology advancement to improve the quality of life. Thus, there are some opportunities for application development to cater to the needs in the complexity of interaction between the individual in the society, one of them is user group management. This study is aimed to design the business canvas and mobile application by integrating virtual communities based on national identity in the form of e-KTP through Scrum method. Therefore, there are some challenges should be considered in the process of identification such as the right resource to implement the smart platform and the alignment between project objective and the readiness in the society. This study present APLICOT API as the framework for UGMS together with business model canvas, use case diagram and prototype.
Hydrogen Gas Production Simulation Utilizing Empty Fruit Bunch of Oil Palm Pyrolysis Unit by Steam Methane Reforming Process
Authors: Sinaga F T H , Napitupulu F H , Nur T B
Published: July 2020

We present a simulation of the hydrogen gas production by steam methane reformer unit utilizing empty fruit bunch (EFB) of the oil palm tree by using Aspen Plus. The oil palm empty fruit bunches, as biomass, is one that can be used as an alternative energy source to generate power. This paper aims to determine the amount of hydrogen gas (H2) can be obtained from five different EFBs samples, which are available as waste in the local area of Sumatera Utara Province. In the pyrolysis unit, the proximate and ultimate analysis of the EFB was introduced while developing the model in Aspen Plus simulation environment to get the syngas as a product from the pyrolysis process. The syngas out from the pyrolysis unit then going to a steam methane reformer unit to get hydrogen-rich gas. The results showed that, from five samples of EFBs, the H2 obtained in the range of 0.90 kg/hr to 1.70 kg/hr.
MAFODKM: Mobile Application Framework for the management of Omics Data and Knowledge Mining
Authors: Oluwagbemi O , Adewumi  , Misra S , Leon Marcelo
Published: July 2020

There are many infectious diseases still plaguing different nations of the world. Some of these infectious diseases such as HIV, malaria, Ebola, and Lassa fever tend to affect less developed nations including those in Africa. In order to combat these diseases, there is need for ready access to omics data as the knowledge gained from this data can be used to combat infectious diseases globally. This study proposes a Mobile Application Framework for the management of Omics Data and Knowledge Mining (MAFODKM). The proposed framework was designed using a layered architecture. A prototype client application was implemented using JavaScript. In order to make it cross-platform, Apache Cordova framework was leveraged. The proposed framework will among other benefits provide an integrated platform for researchers to collaborate and conduct omics-related research to fight infectious diseases.
Performance profile analysis of ZnO/CdS/CdTe solar cells thin film : A review of absorber thickness and device temperature
Authors: Putra N M D , Sugianto  , Marwoto P , Murtafiatin R , Rizaldi P D
Published: July 2020

ZnO/CdS/CdTe solar cell performance modeling has been done using AFORS-HET. The performance of solar cells is assessed based on the thickness of the CdTe absorber and device temperature. The thickness of CdTe varies from 100 nm - 5 μm and the temperature of the device is varied from 295 K, 300 K and 305 K. The characteristic I-V results show that samples with higher CdTe thickness have greater performance efficiencies. Conversely, the temperature variation of the device shows that the higher temperature of the device, the performance of solar cell efficiency will decrease. The optimum performance of ZnO/CdS/CdTe solar cells is owned by solar cells with a thickness of 4,500 nm CdTe absorber with VOC, JSC, FF, and efficiency values at 300 K device temperature respectively for 967 mV; 27.6 mA / cm2; 86.95%; and 23.21%.
Radiation exposure factors optimization of X-ray digital radiography for watermarked art pottery inspection
Authors: Listiaji P , Dewi N R , Taufiq M , Akhlis I , Bayu K , Kholidah A
Published: July 2020

Non-Destructive Testing (NDT) is a technique for detecting a defect in an object without causing damage. NDT technology can be utilized in the arts for inspection purposes. The NDT technique that can be used for the inspection of art pottery is digital X-ray radiography. It can inspect until the contents inside the art pottery without causing damage. To obtain a high quality of watermarked art pottery image using digital radiography, the radiation exposure factors should be optimized. In this work, optimization was done by varying the voltage, current, and exposure distance. Then, the radiography images were analysed using Contrast to Noise Ratio (CNR). From the analysis, it can be determined that the optimum exposure factors are 60 kV of voltage, 16 mA of current, and 100 cm of exposure distance.
Spin stiffness in zigzag graphene nanoribbon under electric field
Authors: Prayitno T B , Budi E
Published: July 2020

We considered the effect of the electric field on the spin stiffness in the zigzag graphene nanoribbon by means of first-principles calculation. To reach the intention, a fixed planar spiral structure was formed together with a spin constraint method in the antiferromagnetic edge states of the zigzag graphene nanoribbon. The spin stiffness was then obtained by fitting the total energy difference in a set of spiral vector via the Heisenberg model. We showed that the trend of the spin stiffness changes as the electric field increases up to certain value. This means that the electric field can control the spin stiffness in the zigzag graphene nanoribbon.
The Different Ability of Free Body Diagram (FBD) Representation In Newton’s Law Topic Based on Students’ Thinking Style
Authors: Linuwih S. , Asih P. , Ellianawati
Published: July 2020

This study aims to determine the different ability of free body diagram (FBD) representation in Newton’s Law based onstudents’ thinking style. The subject of this research is the students of 10th grade from science class at state senior high school 1 of Prembun. The data analized is the results of cognitive test and students’ thinking character questionnaire. The data were analyzed by using quantitative method. Based on the result, can be concluded that there is no difference between the ability of free body diagrams representating with a category sequential concrete, sequential abstract, random concrete and random abstract, which in the four categories of thinking styles included in the criteria need improvement.
Development of CBCT system for medical-physics laboratory improvement
Authors: Susilo  , Darsono T , Setiawan R , Taufiq U A , Yulianti I , Fianti
Published: July 2020

Films used in Rontgen aperture by conventional radiography process yielding a fluorescent-based digital radiography have been conducted in medical-physics laboratory, Unnes for several applications. The continued research was improving the 2D radiograph imaging to be 3D, i.e. the object was rotated and X-Ray radiated simultaneously that yielded a 2D radiograph data by reconstruction and rendering. These covered a development of simulation object, an algorithmic modeling of scanning simulation and FDK (Feldkamp, Davis, Kress), and finally utilizing the algorithms resulting in 3D radiograph. In the future, this cheap technology would be a benefit in dentistry, because this technology is not popular nowadays, an implication of the expensive cost. The development process covered; software developing stage of CBCT (cone beam computed tomography) system in Phantom, data analysis, and finally reaching the result: CBCT model in laboratory scale. Prototype development of CBCT system can be done through study of the system in laboratory scale and then integrating the CBCT system for validated system in laboratory scale. According to the background above, we need innovation in CBCT system supporting the development of CBCT system aperture that leads to ease the dental implant installation in dentistry. At this level, CBCT prototype was used in early validation of the concept of CBCT technology in limit quantity and laboratory scale.
The stability analysis of Kalialang village area based on microseismic data
Authors: Syafira Z N , Khumaedi K
Published: July 2020

This micro-seismic survey was conducted to analyze the stability in Kalialang Village, which is one area that surrounding of the prone to landslides areas. Retrieval of data using a seismometer with many measurement points of 24 points. Data analysis in this study involves the Horizontal to Vertical Spectral Ratio (HVSR). Ground shear strain calculation is calculated by dividing the value of the soil layer deformation by the thickness value of the sediment layer and multiplied by the amplification. Data processing results show that Kalialang Village has a ground shear strain value that varies from 1.62 × 10−4 to 5.25 × 10−4. Based on the ground shear strain value it’s got, then the event in the region are crack in the bedrock and the settlement.
Design of an optical biosensor based on photonic crystal at THz frequency
Authors: Negara T P
Published: July 2020

We discuss the transmission characteristics of photonic crystal with two defect illuminated by a continuous wave of Transverse Electric (TE) mode at low terahertz frequency. To study its performance we solve numerically the corresponding Maxwell equations by means of finite difference frequency domain method. By varying the angle of incident, width of defect layer and refractive index in the second defect layer, it is found that the device exhibits a significant transmission enhancement at two wavelengths with typical changes. We also demonstrate its potential applications for biosensor platform
Catalytic cracking of used cooking oil using Chromium impregnated charcoal (Cr-charcoal) catalyst
Authors: Nazarudin  , Prabasari I G , Ulyarti  , Susilawati  , Oktadio A
Published: July 2020

One of the solutions for fossil fuel crisis is to find alternative energy based on renewable materials. In this research, catalytic cracking of used cooking oil has been investigated to produce biofuel using Cr-charcoal catalyst. The charcoal was produced from solid waste (shell) of palm oil industry. Chromium solutions with various concentrations (1%, 2%, and 3%) were impregnated into charcoal to produce Cr-charcoal catalyst. The catalysts were used for catalytic cracking of used cooking oil at three levels of temperature: 450°C, 500°C and 550°C. The XRD patterns and SEM images of the catalyst showed that the catalyst was in amorphous form. SEM-EDX analysis showed that the Chromium was impregnated into charcoal successfully with amount of Chromium absorbed into charcoal was 0.51%; 1.07% and 14.38% respectively. The SEM images also showed that charcoal as supported catalyst and Cr-charcoal catalyst have unique pores. The highest liquid oil fraction was obtained by catalytic cracking at 500°C using 3% Cr-Charcoal catalyst. The liquid product of this process was mainly diesel oil with 8-24 carbon atoms (86.35%) and the rest was liquid product with 6-7 carbon atoms.
Thermal Cracking of Polyethylene Terepthalate (PET) Plastic Waste
Authors: Alfernando O , Nugraha F D A , Prabasari I G , Haviz M , Nazarudin
Published: July 2020

In 2015, the United Nations Environment Program (UNEP) revealed that there are 280 million tons of plastic produced globally each year This research was conducted to convert plastic waste to be useful products. Polyethylene Terephthalate (PET) is converted into gas and coke using thermal cracking method and a stainless steel batch type reactor. Looking for the effect of temperature variations on the thermal cracking of PET plastic waste and studying the kinetic phenomena are the purpose of this research. A total of 40.17 grams of Polyethylene Terephthalate (PET) plastic waste was cracked in a batch reactor at 450, 500 and 550 °C for 15, 30 and 45 minutes. The highest percent yield of gas (89.92%) was resulted at 30 minutes of reaction time and 550 °C of the reaction temperature. The highest percent yield of coke (26.01%) was resulted at 45 minutes of reaction time and 500 °C of the reaction temperature. The activation energy for the highest percent yield of coke, 26.01% is -9,257701 kJ/mol, otherwise the process needs to be revised to get the positive activation energy.
Synthesis and characterization of electrospun fiber chitosan/polyvinyl alcohol/polyvinylpyrrolidone
Authors: Jumaeri  , Harjono  , Albab D R U , Setiawan J , Pranjono
Published: July 2020

Synthesis and characterization of electrospun fiber chitosan/polyvinyl alcohol/polyvinylpyrrolidone have been studied. Electrospun fiber is a fiber produced from the electro spinning process that utilizes the power of electricity to produce polymer fibers with nano to micro diameters. The purpose of this study is to synthesis and characterize electrospun fiber from chitosan/polyvinyl alcohol/polyvinylpyrrolidone. The mixture of chitosan/polyvinyl alcohol/polyvinylpyrrolidone solution is placed in an electrospinning capillary with a diameter of 0.57 mm with an electrospinning voltage of 25 kV and a distance between the tip of the spinneret and the collector by 10 cm. The resulting electrospun fiber is analyzed with fourier transformed infrared spectroscopy and scanning electron microscopy. Based on the FTIR spectra, it was found that the electrospun fiber produced consisted of chitosan, polyvinyl alcohol and polyvinylpyrrolidone. SEM analysis results show that the electrospun fiber obtained has an average diameter of 93.1 - 168.7 nm.
Methoxylation of α-pinene using NiO/Y-Zeolite catalysts
Authors: Wijayati N , Solikhah  , Widiarti N , Mahatmanti W , Rakainsa S K
Published: July 2020

α-Pinene in turpentine oil can be processed further to produce high value derivative compounds. One of the chemical process that can be used to increase of the value of α-pinene is by methoxylation by using certain catalysts. This study aims to determine the effects of time, temperature, and type of catalyst in the methoxylation of α-pinene. Characterization of the catalyst include: crystallinity by XRD (X-Ray diffractometer), the functional groups analysis by FT-IR (Fourier-Transform Infrared Spectroscopy), surface area of catalyst with SAA (Surface Area Analyzer), and the acidity test by gravimetric method. Modification of the catalyst with NiO does not change the crystal structure of Y-zeolite significantly. Methoxylation was carried out in a modified batch reactor with mixer at various temperatures 40, 50, 60°C and time variations for 1, 2, 3, 4 hours. Reaction products were identified by GC (Gas Chromatography) and GC-MS (Gas Chromatography Mass Spectrometry). The product of α-pinene methoxylation was found to be patchouli alcohol. The highest selectivity (67.06 %) and conversion (75.41%) were obtained at the temperature of 60°C and at reaction time of 4 hours with NiO/ZY catalyst. NiO/ZY catalysts is more selective to be used in the α-pinene methoxylation compared with H-ZY.