bluuebunny/crossref_metadata_2025_split huggingface dataset:
Survival Analysis Competing Risk using Fine-Gray Subdistribution Model with the Maximum Partial Likelihood Estimation Method
Authors: Ainurrochmah A , Purnami S W , Purhadi  
Published: April 2021

Abstract
Survival analysis is a statistical method which the variable of concern is the time until the event occurs. In survival analysis, there is a situation where an individual can experience more than one type of event and the occurrence of these events prevents the occurrence of other types of events. This situation is called competing risk. The situation causes the Kaplan Meier method, which is a method of estimating the survival function, cannot be used. The Cumulative Incidence Function method is proposed as a solution to solve competing risk events uses the probability of each type of event. The Cox regression model is also modified to allow for competing risk is called the Fine-Gray subdistribution model using the Maximum Partial Likelihood Estimation. This study examines the estimation of parameter Fine-Gray subdistribution model and applies it to melanoma case. Melanoma is a type skin cancer that can spread to other organs in the body. In the case of death, melanoma patients who experience death with other causes are called a competing risks and death with melanoma are considered as the event of interest. Study showed that factors that influence melanoma mortality are age, sex, tumor thickness, and cultured epidermal autografts. Patients death with melanoma was 1.400 times higher risk than death with other causes.
Comparison Analysis of the SAW Method and TOPSIS Method in the Decision Support System for Determining Permanent Teachers in SMK Pasundan 2 Banjaran
Authors: Jayanti S D , Budiman  , Yoga T P 
Published: April 2021

Abstract
The decision-making process is quite burdensome because it is necessary to issue the right decisions so many people do it carefully. Nowadays with the development of decision making system can help in the decision making process because it is done with measurable stages and with methods that have a high level of accuracy. By using the Decision Making System, the process of assigning teachers remains in SMK Pasundan 2 Banjaran can be done quickly, precisely and accurately so that it is expected that the results obtained can be accounted for. But here will be tried to do the decision-making process by using SAW method and TOPSIS method by doing comparison or comparison with the two methods with the aim of getting the right results who can be submitted as a permanent teacher of SMK Pasundan 2 Banjaran but also get advantages and disadvantages and which method is appropriately used for the determination of permanent teachers in SMK Pasundan 2 Banjaran from each method by conducting process trials. Each method certainly has stages in the process of determining results to assist in decision making and this can be a reference in looking at the accountable calculation process. Based on the results of comparison or comparison of SAW method and TOPSIS method which then carried out sensitivity test resulted in a method that is similar to this case study namely SAW method. With saw change value of 10.03168% and TOPSIS by 0.62590%.
New Era Chain Supply on Retail Food Industry in Indonesia
Authors: Foster Bob 
Published: April 2021

AbstractThe purpose of this study is to find out a new era in the supply chain of the food retail business in Indonesia. The development of the number of retail food actors is a phenomenon that occurs due to the support for the ease of opening retail food. Factors that support the growth of retail food at this time is the high level of mobility of people who are busy demanding speed and practicality, in any case, is no exception to the fulfilment of basic needs such as food. In the era of disruption, business change is very visible, the way of doing business which used to emphasize owning (ownership) becomes sharing (sharing roles, collaboration resources). The existence of phenomena such as go food, go send, go shop, goat, grab food, and other application-based media are developing in the latest era. This phenomenon changes the view of the supply chain, one of which is affected by the retail food business. The discussion in this research is about a new era in which there are supply chains, food retail business, the role of technology, marketing, distribution channels, and descriptive effectiveness. The study was conducted using qualitative descriptive methods, namely using literature or literature studies, using journals, books, magazines, and the web that are relevant to research. The conclusion in this research is the development in this era in distribution, warehousing, transportation, and services in food retailing supported by internet application-based providers including go food, grab food, etc. making it easier for retailers and consumers to transact. The development of this new era experienced many improvements in terms of delivery, cost, and time so that the more days the more effective the supply chain in the food retail industry.
User Acceptance of Virtual Hotel Operator Applications in Indonesia
Authors: Ramadhiana I N , Prakarsa G , Nasution V M 
Published: April 2021

AbstractThis research is based on the main problem, namely the lack of measurement of the integration of mobile factors in the VHO application. This research is categorized as quantitative research using descriptive methods, and using the technology acceptance model / TAM. The technique used is multiple linear regression, starting with the validity and reliability tests, as well as the heteroscedasticity test. The purpose of this research is to determine how much acceptance of VHO application users based on the Technology Acceptance Model (TAM). This research approach uses a quantitative approach with survey methods. The data collection technique is using a questionnaire that distributed randomly to users of the VHO application. The data analysis method used is descriptive analysis, using multiple linear regression techniques. The results of this study indicate that the variables of mobile perceived compatibility, mobile perceived financial resources, and mobile perceived risk have a simultaneous effect on the mobile variable perceived usefulness, the mobile variable perceived ease of use and the intention to use variable.
Disturbance Characteristics of Uninterruptible Power Supply System in the Frequency Range 9 - 150 kHz with Capacitive Load Level Variations
Authors: Pratama R L , Sudiarto B , Setiabudy R 
Published: April 2021

Abstract
Nowadays the use of Uninterruptible Power Supply (UPS) is common because UPS is able to provide a backup electrical power when the main source is disconnected or interrupted. With the use of a UPS, the supply of electrical power to the system will not be interrupted. When the UPS operates, the voltage go through dual conversion process, from AC to DC by the rectifier and from DC to AC by the inverter. The DC voltage in the UPS is used to supply the battery charger and the AC voltage is used to supply the load system. The switching process of the inverter can produce disturbances at high frequency. In this study, a 1 KVA UPS is connected to a capacitive load 3.6 µF, 7.2 µF, 14.4 µF and 28.8 µF which generate the highest disturbances voltage of 309.53 mV at a frequency of 9.8 kHz at a load of 28.8 μF and the lowest of 1.33 mV at a frequency of 110.6 kHz at a load of 3.6 μF. The disturbances voltage occur at three dominant frequencies of 19-24 kHz, 35-44 kHz and 105- 114 kHz and increases as the increase of capacitive load level.
IoT based Trash Can Monitoring System for Smart Garden Cleanliness
Authors: Moris F D , Widjaja D 
Published: April 2021

Abstract
Garbage is always produced every day, including household trash and many kind of waste. IoT based Trash Can Monitoring System was designed to automatically maintain the garden cleanliness and help to ease the cleaning staff work. This system uses two controlled trash bins with different location identity (ID). There are many devices to build this system, such as NodeMCU microcontroller, Thingspeak as an IoT platform, two ultrasonic sensors to detect the height of trash and approached object, two servo motors to control can cover and disposal outlet, and solenoid as a locking part. The results of this work show that the system designed works well. Location ID of the two trash cans, approached object detection, measurement of garbage height inside the trash can, opening and locking of disposal outlet and cover, work with 100% success rate and all data can be sent to Thingspeak without any error.
Inflation modeling in Indonesia using hybrid autoregressive integrated moving average (ARIMA)-neural network (NN)
Authors: Pratiwi D , Hadijati M 
Published: April 2021

Abstract
One of the macroeconomic indicators to see the stability of a country’s economy is inflation. This study aims to model the value of monthly inflation in Indonesia from January 2003 to December 2019 using the ARIMA-NN hybrid. The data plot shows a non-linear pattern and trends, so that the differencing process is carried out and the model is built using ARIMA model. The best ARIMA model obtained is SARIMA (1,1,0)(0,1,1)12 with a Root Mean Square Error (RMSE) of 0.01134. Furthermore, ARIMA residuals that do not satisfy white noise and normality are modeled using NN. The best structure obtained of NN model is (3×2×1) with an RMSE of 0.023984. From the ARIMA and residual NN prediction results, the ARIMA-NN hybrid model is obtained to predict the value of monthly inflation in Indonesia for the next 12 months with the Mean Absolut Percentage Error (MAPE) value is 11.40873%. It means that the model result has high prediction accuracy.
A discrete choice model of voters’ decision in the general election 2019 using LASSO regression
Authors: Irvani D , Notodiputro K A , Sartono B 
Published: April 2021

Abstract
Statistical modelling faces problems when too many variables are involved in the model. Using all variables in the model will result in overfitting which in turn produces unstable predictions. LASSO (Least Absolute Shrinkage and Selection Operator) is a method that can be used to overcome this problem. LASSO selects more important variables with the goal of improving the prediction accuracy and interpretability. This paper identifies factors those influenced voters in 2019 presidential election using LASSO penalized logistic regression. This logistic model is also known as a discrete choice model. The data used in this study is the result of an exit poll conducted during the election day with a total sample of 2,289 respondents. The response variable in this study is a vote choice. The independent variables include sociological, psychological, political economy, and campaign variables. The results showed that there were 17 of 27 variables having nonzero coefficients. These variables include candidates’ personal qualities which show the largest effect, followed by the incumbent performance variable. On the other hand, variables such as religion, education, and ethnicity have much less effects. This implies that the psychological and political economy factors played more important role than the sociological factor in determining voters’ decision. Based on this finding the prospective candidate in the future election should focus their campaign strategy on enhancing positive images (empathy, integrity and capability) as well as offering better programs to convince voters.
Analysis of Ionosphere disturbance caused by the Lokon Volcano Eruption using GPS TEC data
Authors: Pandara D P , Muslim B , Sunardi B , Ferdy  , Pasau G , Mananohas M , Ango Ch 
Published: April 2021

Abstract
Eruption of Mount Lokon has the potential to cause danger to the community. The study of the ionospheric disturbances triggered by Lokon activity is very important to determine eruptive behavior. TEC anomaly before eruption is succesfully detected using correlation methods. Based on GPS TEC data from the GNSS satellite it was concluded that the TEC anomaly occurred three days before the eruption on July 14th, 2011. Using leveling method and polynomial technique, eruption effects on ionosphere were be determined. Eruption on July 2011 caused ionospheric disturbance. These results will be important considerations in decision making related to disaster mitigation
Physical Properties of Bio-Composite Board Reinforced with Shell Particle and Coconut Fiber
Authors: Rachmawati D O , Widiarini P 
Published: April 2021

Abstract
The properties of the particles which have best binding capacity with the matrix can be combined with the properties of the fibers which give the composite strength. The use of shell particles and coconut fiber together as a composite reinforcement provides a variety of new physical properties that are different from its constituents. Therefore, the variation in weight fraction of the two fibers as reinforcement is interesting to study. The bio-composite board was made to use open mold process. The bio-composite board reinforced with shell particles and coconut fiber has a density of 0.938 ≤ ρ ≤ 1,020 g/cm3. The greatest water content reaches 5.43%. The immersion time of 24 hours, water absorption of this bio-composite board is in the range of 1.95% to 3.38%, and the largest thickness swelling reaches 2.86 %. Bio-composite board which is composed of 40% by weight of coconut fiber has a density of 1.111 g/cm3. Water content reaches 5.90%%. Water absorption capacity and thickness swelling of 4.08% and 3.12%, respectively. While the bio-composite board which is composed of 40% by weight of shell particles has a smaller density, moisture content, absorption capacity and thickness expansion, namely 0.901 g/cm3, 4.13%, 1.61% and 1.18%.
Effect of Storage and Ageing Time on Sensorial Quality and Composition of Wine Phenolic Compounds Improved with Saccharomyces Cerevisiae Local Hybrid
Authors: Tika I N , Agustiana I G A T , Puspaningrat L P D 
Published: April 2021

Abstract
High quality wine can be produced by the perfect ageing process.The purpose of this study was to determine the effect of ageing process container on sensory quality and composition of phenolic compounds of wine fermented with local hybrid Sacharomyces cereviciae. The research design used a randomized block design with two factorials. The first factor is the materials for storing during the ageing process, namely plastic bottles, glass bottles and pottery barrels (from Banyuning). The second factor is ageing time, namely 1, 2, 3, 4 and 5 months. The experiment was carried out two times over so that 30 experimental units were obtained. The variables measured were phenolic compounds and sensory quality (aroma and taste, color, and turbidity level). The composition of the phenolic compounds was determined by gas chromatography-mass spectrometer (GC-MS) and sensory quality test using 15 trained fanelis. The results showed that the composition of the highest phenolic compound content was shown successively with containers: plastic bottles, glass and earthenware and the ageing time was 4 months. The content of phenolic compounds is Isoamyl alcohol (ISM), Isobutanol (ISB), n-propanol (PR), Acetaldehyde (ADE), 2,3 –Butanediol (BUT), Acetone (ACE), while the best sensory quality is using pottery. because it has better aroma and taste, lower turbidity level. Based on data analysis, it can be concluded that the length of time for the ageing process and the container during the ageing process has a significant effect on the quality and content of phenolic compounds in grape wine fermented with local hybrid Sacharomyces cereviciae.
Overproduction and Purification of Organomercuric Lyase (MerB) from Mercury-resistant Bacteria Pseudomonas aeruginosa Isolate 4B2
Authors: Fatimawali  , Kepel B J , Tallei T E 
Published: April 2021

Abstract
Mercury is a very toxic element even though there is very little concentration in the body. Although all chemical forms of mercury are toxic, public health attention is focused on organic mercury which is the most toxic form of mercury. Organic mercury can, however, be detoxified by organomercuric lyase (MerB) protein derived from mercury resistant bacteria. This study aims to overproduce of MerB protein by transforming merB gene into E. coli BL-21(DE3). Nucleotide sequence of merB gene of mercury resistant bacteria Pseudomonas aeruginosa isolates 4B2, optimized by using gene program designers (www.dna20/com) then commercially synthesized and cloned in pET16b expression plasmid vector. Plasmid pET16b_merB (syntetic gene) was transformed into E. coli BL21(DE3) to produce MerB protein recombinant, induced with isopropyl-β-D-thiogalactopyranoside (IPTG) and purified by imidazol. Overproduction and purification of MerB protein was successfully performed in E. coli BL21 mediated by plasmid pET16b, resulting MerB protein with a molecular weight of 25.6 kDa, with the optimum at 37°C incubation temperature, incubation time of 3 hours and 0.1 mM IPTG induction. MerB protein obtained can be used in further research on the enzymatic detoxification of organic mercury.
The Clique Numbers and Chromatic Numbers of The Coprime Graph of a Dihedral Group
Authors: Syarifudin A G , Wardhana I G A W , Switrayni N W , Aini Q 
Published: April 2021

Abstract
The graph has many properties and characterizations. One interesting topic to discuss is the clique numbers and chromatic numbers. This research will determine the clique numbers and chromatic numbers of the coprime graph of the dihedral group. One of the main results is if n = 2k then the chromatics numbers of the coprime graph of the dihedral group are 2, and if n is odd composite numbers, then the clique numbers and chromatics numbers are (m + 2).
Propagation and Characteristic of Tsunami Wave in Lembeh Strait, North Sulawesi, Due to the Earthquake in the Molucca Sea
Authors: Tamuntuan G H , Mambu B B , Pasau G , Mandagi A T , Pandara D P , Ferdy  
Published: April 2021

AbstractModeling the propagation of a tsunami triggered by an earthquake with a hypocenter in the double subduction of the Maluku Sea using the TUNAMI-N2 program has been carried out. The objectives of this research are to find out the model of tsunami propagation towards Bitung City, how the effect of Lembeh Island on tsunami waves, and the characteristics of the waves that occur in the Lembeh Strait. The modeling uses two earthquake scenarios with different magnitudes which are 7.5Mw(scenario A) and 8.0Mw(scenario B). The results show that the wave propagation model towards Bitung City in the two scenarios is relatively the same, but has a different arrival time and wave height depending on the earthquake energy of the tsunami generator. The arrival time of the tsunami waves in Lembeh strait area, the strait between Bitung City and Lembeh Island, was relatively slower indicating that Lembeh Island could serve as a tsunami barrier for Bitung City. The characteristics of the tsunami waves in Lembeh Strait are also different from the areas outside the strait. This is due to the effects of diffraction and wave superposition that occur in the strait area. The characteristics of the waves that occur inside and outside the Lembeh Strait are important things to know in order to determine a more optimal tsunami disaster mitigation strategy in Bitung City.
A Review on Modelling, Design and Optimization of Forging Process
Authors: Kumar Dhiraj , Mondal Sharifuddin 
Published: April 2021

Abstract
Forging is a core manufacturing process. It gives a product of superior mechanical properties and produces minimum wastage of material. This makes it a better manufacturing process as compared to other processes like casting etc. An aligned grain flow defines a good forging. The effectiveness of a manufacturing process is characterized by low cost, high productivity and high quality of product. This necessitates the use of three dimensional computer graphics and powerful Computer Aided Engineering (CAE) software to analyze the forging process. The present paper discusses on the various research works carried out in different fields of forging. The scopes of further researches on different problems of forging are also elaborated.
Comparison of the most harmful defects present in a steel pipe that can cause fatigue failure
Authors: Mighouar Zakaria , Khatib Hamza , Zahiri Laidi , Mansouri Khalifa 
Published: April 2021

Abstract
Steel pipes used for conveying pressurized fluids are often defective due to manufacturing error, improper handling or construction materials. These defects may be in the form of cracks which propagate until the mechanical structure is fractured, or in the form of dent which produce a local concentration of stress and thus weaken the structure. In this paper, we will present a numerical model for estimating the accumulation of damage that takes into account the effect of the loading history. This model will be used to evaluate the harmfulness of a dent on the one hand, of a semi-elliptical crack on the other hand. These defects wil be considered to be present in a metal tube subjected to internal pressures caused by the water hammer phenomenon. A parametric study will make it possible to conclude the most harmful defects among the defects studied.
Experimental Study of Tensile, Flexural and Impact Strength of Basalt/Glass FRP Hybrid Composite with Carbon Black
Authors: Mithilesh K M , Mahesh Dutt K 
Published: April 2021

Abstract
Metal components have been replaced by composite ones in the modern engineering aspects due to various reasons such as strength to weight ratio, ease of manufacturing as well as aesthetic value. Currently majority of composites are made by using synthetic fibres which again is a concern for the environment because of non-biodegradability issues with synthetic fibres. Hence natural fibres appear to be an alternative option to synthetic fibres. But the major drawback would be the strength of the fibres and its behaviour with its surrounding environment hence hybrid appears to be the possible solution in order to balance both the constraints of strength and environment. This study describes the mechanical properties of a hybrid composite comprising of Basalt fibre and Glass fibre developed by using hand lay-up techniques. Woven Basalt fibres and Glass fibres were used for fabricating the hybrid composites, carbon black as nano fillers, vinyl ester resin as matrix with different fibre stacking sequences. The result shows that the reinforcement of woven Basalt and Glass fibres hybrid composites with carbon black has a significant influence on the mechanical properties of the composites. The stacking sequence also has an effect on the strength of the specimen. The tensile strength of hybrid composite having stacking sequence B/3G/B/3G/B increase by 15.49 % with the addition of 9% carbon black whereas the stacking sequence G/3B/G/3B/G has a decrease in tensile strength by 21.77%. The flexural strength of the hybrid B/3G/B/3G/B decrease by 72.5% with the addition of carbon black while the hybrid G/3B/G/3B/G shows an increase by 32.38%. The highest impact strength is of basalt with 6% composite.