bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ovarian cancer classification using K-Nearest Neighbor and Support Vector Machine
Authors: Wibowo V V P , Rustam Z , Hartini S , Maulidina F , Wirasati I , Sadewo W 
Published: March 2021

Abstract
Ovarian cancer is one of the common malignancies in women and a known cause of death. This condition occurs when a tumor appears from the growth of abnormal cells in the ovary. It causes about 140.000 deaths out of 225.000 cases annually. Most women with ovarian cancer do not have distinctive signs and symptoms even at the late stage. Therefore, diagnosis at an early stage is necessary because it has a significant impact on the survival rate. Machine learning with various methods can be used in the medical field to classify diseases. Among the many methods, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) were used and analyzed in this study to classify ovarian cancer. The data used were from Al Islam Bandung Hospital consisting of 203 instances with 130 labeled ovarian cancer and 73 as non-ovarian. The results showed that the KNN produced higher results than SVM with 90.47% of accuracy and 94.11% of F1-score, while SVM produced accuracy and F1-score values of 90.47% and 92.30% respectively.
The application of Geometric Brownian Motion in stock forecasting during the coronavirus outbreak in Indonesia
Authors: Fitria Irma , Handayati Kristin Nova , Hasanah Primadina 
Published: March 2021

Abstract
Geometric Brownian Motion is a mathematical model that can be used in stock price forecasting. This research aimed to predict the stock prices during the outbreak of coronavirus in Indonesia. There are four important steps of this research, such as calculating the return of the stocks, analyzing the normality test of stock price return, forecasting the stock price by using Geometric Brownian Motion, and calculating the errors of the forecasting. Based on the research, the MAPE for three forecasted stock prices is mostly around 10%.
Application of Density-Based Spatial Clustering of Application With Noise to Optimize Matching Problems in Ridesharing for Maximize Total Distance Proximity Index
Authors: Syafira I G , Satria Y , Burhan H 
Published: March 2021

Abstract
Ridesharing is one of models that attempt to reduce congestion problems due to increased use of private vehicles with low occupancy. The problem related to ridesharing is to get an optimal pair of drivers and riders, while the numbers of participants involved are very large and optimization must be done in a short amount of time. In this paper DBSCAN clustering will be used as the first step to optimize the matching problem in ridesharing with DP Index as the objective function. Driver and rider with similar distance will be a good match by using DP Index as the objective function if both origin and destination of driver and rider are in a close proximity. DBSCAN clustering is one of the methods of clustering based on the density of 2-dimensional objects. In the initial stage, the DBSCAN clustering method is used to cluster the origin and destination locations of the drivers and riders. After obtaining the clusters, the driver-rider pair will be matched based on the maximum DP Index by the Hungarian algorithm. This paper uses three times periods as the result of this experiment shows that DBSCAN clustering able to increase the total number of pairs of driver-rider matching.
Application of agglomerative hierarchical clustering to optimize matching problems in ridesharing for maximize total distance savings
Authors: Nurseptiani A , Satria Y , Burhan H 
Published: March 2021

Abstract
Ridesharing is transportation mode which brings together its participant whose similar itineraries and time schedule. The problem is how to compute matching requests with the large number of participants in short optimization time. For m driver n rider at the same time period, there is mxn driver-rider combination (possible match / pm) which will be considered whether time feasibility constraint is satisfied or not, if it satisfied then the pair is feasible match (fm). This paper purposed Agglomerative Hierarchical Clustering (AHC) to be applied for determining pm. By applying AHC, the pair which is not feasible based on their location is eliminated. AHC is clustering which merge two closest cluster, recursively, until all objects merge into one cluster. After we get fm set, we will check is there any pair whose distance saving less than zero? If it is, then it will be eliminated. To decide pairs that will do ridesharing trip (optimum match) we use Hungarian Algorithm. As the result, we obtain same number of optimum matched with and without applying AHC. At the process, by applying AHC, we can reduce the number of pm, so that total calculation of the driver-rider match that will be optimized is less.
The uniqueness of binary operation on semilocally simply connected, connected and locally path connected topological groups
Authors: Risali V , Wijayanti I E 
Published: March 2021

Abstract
Given a topological group X with unity e. Suppose that X satisfies semilocally simply connected, locally path connected and connected condition. For every connected covering space (

X
˜

, q) of X, there is a binary operation such that

X
˜

becomes a topological group with unity r, q(r) = e and q becomes a group homomorphism. In this paper, we show that there is a unique binary operation on

X
˜

such that it is a topological group with unity r and q is a group homomorphism.
Monte Carlo method to valuate CAT bonds of flood in Surabaya under Jump Diffusion Process
Authors: Kurniawan Hengky , Putri Endah RM , Imron Chairul , Prastyo Dedy D. 
Published: March 2021

Abstract
The characteristic of natural disasters is that they tend to be rare. However, once they occur, natural disasters can result in enormous losses. In Indonesia, the natural disasters that cause the most losings are floods. Insurance companies will suffer immensely if many policyholders make claims due to losings from this natural disaster. Therefore, a financial instrument is urgently needed to transfer this risk to another party who is better at bearing the risk of loss. This financial instrument is called a CAT bond. The causes of flooding diverge into the hydrological aspect and hydraulic aspect. Maximum rainfall affects the hydrological aspect. In this research, we use a study case of flood in Surabaya. The maximum rainfall is predicted using the Gaussian Process Regression. Furthermore, the losses due to flooding obtained are modeled by the Jump Diffusion Process. The MAPE value obtained by the Jump Diffusion Process is much smaller than the Diffusion Process. From the results of the Monte Carlo simulation, it leads to the conclusion that the trigger value of the CAT bond contract significantly affects the CAT bond price, while the interest rate and the reduction proportion have a slightly significant effect.
Level alert classification of dengue hemorrhagic fever cases in DKI Jakarta with the implementation of the random forest algorithm
Authors: Dzakwan Ikhwanul Ghazy , Hertono Gatot Fatwanto , Aldila Dipo , Handari Bevina Desjwiandra 
Published: March 2021

Abstract
In 2007, the capital district, DKI Jakarta had one of the worst floods that submerged nearly 60% of the area. One of the causes was heavy rainfall. Two months after the incident, the Governor of DKI Jakarta stated that the capital district was affected by an outbreak of dengue fever. From these two incidents, there are some indications of dengue hemorrhagic fever cases related to weather. In this research, a random forest classification algorithm was used to build a model that could classify the level alert of dengue fever for each district in DKI Jakarta into three categories: safe, moderately safe, and unsafe. The results and the accuracy of the classification model for the level alert of cases of dengue hemorrhagic fever for East Jakarta, North Jakarta, South Jakarta, Central Jakarta, and West Jakarta are 94.51%, 86.81%, 81.32%, 80.22%, and 80.22% respectively.
Spreading dynamic of infectious disease in two interacting areas
Authors: Kamiran  , Widodo Basuki , Hariyanto  , Asiyah Nur , Hakam Amirul 
Published: March 2021

Abstract
The spread of infectious disease in a heterogeneous area can be grouped as a homogeneous group. The graph theory approach to analyze the spread of infectious disease in the group using a mathematical model. Heterogeneity in a population can be caused by many factors. Within a group can be divided into several homogeneous groups based on clusteritation, such as grouping the population based on age in the spread of infectious diseases. Population heterogeneity can be described as a network where each vertex represents a homogeneous group and an edge (j, i) exists if and only if the disease can be transmitted from group i to group j. The system of mathematical differential equations is formed based on the graph theory approach and the infectios disease distribution compartment diagram. Based on the numerical solution that we have obtained, the rate of change in the exposed population increases as the increasing of the disease transmission. And the rate of change in the infected population increases as the endemic appears.
Coalescence Phenomenon in the Three Photon Quantum Interferences
Authors: Ripala D P , Rohedi A Y , Suryadi  
Published: March 2021

Abstract
We present the theoretical study of three-photon interference in the six ports Mach-Zehnder Interferometer (6p-MZI). The 6p-MZI consist of two lossless symmetrically balanced tritters and three independently controllable phase modulators inserted in each photon line path between the tritters. Three photons (Fock state) are injected onto the first tritter input ports and measured in second tritter output ports. By independently varying the phases states of the three photons, one can control the detection probability of photon numbers at final tritter output ports. The calculation results demonstrated that, at the specific combination of phase states, the three photons interference exhibited a coalescence phenomenon, which is the three-photons detected at the same output port. Interestingly, the probability of detecting photons in all combination modes of |0, 0, 3), |0, 3, 0〉, and |3, 0, 0〉 are monotonously in the equal values.
Generalized master equation for first-passage problems in partitioned spaces
Authors: Frömberg Daniela , Höfling Felix 
Published: March 2021

Abstract
Motivated by a range of biological applications related to the transport of molecules in cells, we present a modular framework to treat first-passage problems for diffusion in partitioned spaces. The spatial domains can differ with respect to their diffusivity, geometry, and dimensionality, but can also refer to transport modes alternating between diffusive, driven, or anomalous motion. The approach relies on a coarse-graining of the motion by dissecting the trajectories on domain boundaries or when the mode of transport changes, yielding a small set of states. The time evolution of the reduced model follows a generalized master equation (GME) for non-Markovian jump processes; the GME takes the form of a set of linear integro-differential equations in the occupation probabilities of the states and the corresponding probability fluxes. Further building blocks of the model are partial first-passage time (FPT) densities, which encode the transport behavior in each domain or state. After an outline of the general framework for multiple domains, the approach is exemplified and validated for a target search problem with two domains in one- and three-dimensional space, first by exactly reproducing known results for an artificially divided, homogeneous space, and second by considering the situation of domains with distinct diffusivities. Analytical solutions for the FPT densities are given in Laplace domain and are complemented by numerical backtransforms yielding FPT densities over many decades in time, confirming that the geometry and heterogeneity of the space can introduce additional characteristic time scales.
Research on the Application of Feature Modeling of Prefabricated Building Components Based on BIM
Authors: Wang Yi ping 
Published: March 2021

Abstract
Building industrialization is a new trend in the development of today’s construction industry, and prefabricated buildings have gradually become a hot spot in the construction industry. Prefabricated components are the core of prefabricated building management. The key points of prefabricated component management include component design, supply, installation, and operation and maintenance. BIM takes the whole life cycle of the building as the main line, links all links of the building through information, and realizes the integration of the whole life cycle information model of prefabricated components, which can solve the problem of backward production and management in the current construction industry. This paper proposes the realization method of the characteristic modeling system of prefabricated components. Based on the research on the design, production, construction and operation of prefabricated components, the functional requirements of parametric modeling and production management systems are analyzed, and the modular concept is applied. Divide the system into different functional modules and conduct research.
Experimental study on flexural behavior of GFRP reinforced concrete slabs
Authors: Li-xiang Sun , Peng-zhen Lin , Zi-jiang Yang , Ying-long Liu , Qu Shen 
Published: March 2021

Abstract
Remarkable performance of glass fiber-reinforced polymer (FRP) bars make it an ideal candidate for prolonging the life of concrete structure. Although analytical and experimental research of concrete beams strengthened by FRP have flourished in recent decades, it is still in lack of research in comparison with traditional reinforced concrete structures, especially in case of the flexural behavior. In this paper, two groups of GFRP reinforced concrete slabs with different strength grades and reinforcement ratios were experimentally tested, and theoretical calculation method on their bearing capacities was explored. By comparing the deformation and bearing capacity characteristics, the test results were discussed in detail. The calculation formula of flexural capacity of GFRP reinforced concrete slab was derived and then verified against the experimental data. The test results show that the load deflection curve presents obvious double straight lines, and the reinforcement ratio is not closely related to the initial crack load. The cross section still obeys the plane section assumption and the crack distribution is sparse with large width. The flexural bearing capacity coefficient changes from 1.02 to 1.36. Therefore, the limitation of 1.4 times balanced reinforcement ratio in ACI is verified, which could apply a valuable reference for durability design of GFRP reinforced concrete slabs.
Scientific based learning assisted by integration E-modules biochemical in Al-Quran
Authors: Risnita R , Fadlilah F , Muliawati L 
Published: March 2021

Abstract
The introduction of this research that learning need learning activities. The learning process will be done if there were a good learning activity. Process of learning activities must involve all aspects such as students, teachers, and the environment. Learning activities were physical and mental activities. In the learning process, the both of the activities must be combined. Based on observation, student biology education learning proses lowed learning activity. The aim of this research to increased students learning activity Biology Education Studi Program Faculty of Tarbiyah UIN STS Jambi. Collaborative learning based on lesson study has been done in the Biology Education Studi Program Faculty of Tarbiyah UIN STS Jambi in biochemistry courses. Open Lesson done for 2 cycles namely cycle one and cycle two. The stages of the study lesson were plan (goal-setting and planning), do (research Design), see (lesson Discussion) and redesign (consolidation of Learning). Each cycle donet using a scientific approach in implementation with the approaches in the e-module. At the beginning of the lecture, student done the pre-test and the end of the lecture they done post-test. The results of this study indicated that an increased student learning activities in the process of lecturing biochemical.
Is pressing technique required in the application on aloe vera leaf pulp for skin moisture?
Authors: Sulianti A , Bellanian I , Sabrina N H , Rahman A A , Ulfiah U 
Published: March 2021

Abstract
Although Aloe vera has been investigated to contain mucopolysaccharides that are beneficial for moisturizing the skin, the technique for its use is still not widely studied. This study aimed to analyze the effects of skin moisture from the use of aloe vera leaf pulp by patting and pressure rubbing techniques on facial skin. This is an experimental research on 50 women aged 18-20 years. Moisture observation techniques were carried out using photo analysis from a microscope on the skin with 600x magnification. The results showed that the patting technique was better in improving the roughness and shine of skin (p <0.05). As for the repair of cracks and skin scrapes both tapped and rubbed together gave the same good results. Pressing technique on the skin is not needed to moisturize the skin using aloe vera.
Development of a Risk Management Plan for the construction of the Karian – Serpong water conveyance
Authors: Wibowo E 
Published: March 2021

Abstract
The Karian - Serpong raw water channel construction project is a pipeline construction project to supply drinking. This water channel flows raw water from the Karian Dam in Lebak Banten to the Water Treatment Plant (WTP) located in the Serpong area. This airway project has a higher composition in its implementation, urgently needs management planning, so that the project can run well and be completed, it does not require delays. This study aims to identify risks, analyze the impact and risk response and compile them into a Risk Management Plan as a supporting document in the implementation of the construction of the Karian - Serpong water conveyance. The study was conducted using the method of Literature Study with Meta-Analysis of research that had been done before on similar construction projects. The results of this study found the supply of materials and equipment needed in the pipeline construction project was the dominant factor influencing the time performance in the pipeline development project. Environmental conditions are protests from residents around the project and the condition of busy traffic around the project is also a dominant factor affecting the speed of project implementation. As a risk response in this research is the equipment and materials must be done well before the project runs, during the project must be controlled and ensured always available in the project following with the needs of the project. Communication and coordination with residents around the project must be done well, traffic around the project must also be regulated properly so as not to regulate pipeline construction projects. It is hoped that later this Risk Management Plan can be useful for contractors in managing risks during project implementation and providing input to the Ministry of Public Works and Public Housing for subsequent implementation of similar projects.
Comparison of laboratory test and in-situ test results against bored pile foundation bearing capacity at Sido Mukti II Bridge Foundation Gorontalo Province
Authors: Achmad F 
Published: March 2021

Abstract
The purpose of this study is to compare the bearing capacity of the bored pile from the results of laboratory tests and in situ tests. Soil investigations conducted in the field in the form of a Standard Penetration Test (SPT), and drilling. SPT test to obtain variations in soil density. While drilling is used to describe the soil profile at a certain depth. The research method is in the form of analysis of bearing capacity based on comparison of the results of in-situ tests and laboratory tests. Soil results from drilling are taken in 2 conditions namely disturbed conditions to describe each layer and undisturbed samples to be tested in a laboratory with a direct shear test or unconfined compressive strength. Based on the comparison of the value of the allowable bearing capacity is found that the analysis of the results of the in-situ test gives a value of the allowable bearing capacity more than the laboratory tests. This is due to the soil condition in the field at the testing experiencing compaction due to blow SPT.
Experimental study on sediment trap capacity of ring net barrier with varying basal openings
Authors: Putri C W S , Legono D , Rahardjo A P , Alfianto A 
Published: March 2021

Abstract
Ring net barrier is originally developed as a protection from rockfalls, but some countries have proven that this type is also effective in trapping debris flow sediment. In Indonesia, ring net barrier as sediment control is applied by Sabo Research and Development Center in Lumajang, East Java on a slope of 3.48o and is placed 0.8 m above the river bed surface. To identify the optimal position of the basal opening, a hydraulic flume test is performed with a scale of 1:60, 0.6 cm of diameter of ring, and a variety of discharge (11 liters/sec, 8 liters/sec, and 1.8 liters/sec). These numbers are based on the scaling with 10% sediment concentration and a flow time of 144 seconds. The basal opening position is varied from the same elevation as river bed, placed as deep as 1.66 cm and 3.2 cm The results show that ring net can retain more sediment if the net is placed 3.2 cm deep. Therefore, the sediment trap capacity of ring net barrier that is applied in Lumajang can be optimized by shifting the basal opening’s position to 1.92 meters deep from the river bed.
The influence of concrete compressive strength on bonding of concrete bundled bars
Authors: Walujodjati E , Tjondro J A , Farida I , Permana S 
Published: March 2021

Abstract
The reinforced concrete, one of the things that cause reinforcement and concrete to work together is bonding. Where the perfect attachment between the concrete and reinforcement produces a strain on the reinforcement is the same as the strain on the concrete around it. Reinforcement bundles as an alternative solution to the limitations of the cross-sectional dimensions are feasible to be developed. Experimental studies are needed to see the ability of the reinforcement bundle associated with the bonding stress produced by several parameters. Concrete strength as an important parameter in reinforced concrete is related to the use of reinforcement bundles that need to be examined. Concrete compressive strength test produces 27 MPa 36 MPa, and 39 MPa. The reinforcement steel tensile test produces 462 MPa yielding stress and 628 MPa ultimate stress. With the pull-out test of the concrete cylindrical specimen diameter of 150 mm x 200 mm produces a variety of bonding stress values. Variations in the compressive strength of concrete in the reinforcement bundle did not appear to influence the value of bonding stress significantly. Only the visible increase in bonding stress increases with the strength of the concrete and the number of bars in the bundle.