bluuebunny/crossref_metadata_2025 huggingface dataset:
The Analysis of Fuzzy Logic Method and Multiple Linear Regression in Determining National Rice Production to Improve Food Self-Sufficiency in Indonesia
Authors: Sari Yulia Retno , Ananda Lidya Rizki , Rani Maha
Published: May 2020

Indonesia in 2023 targets rice self-sufficiency. To be included in the category of rice self-sufficiency, Indonesia’s total rice production should be 82 million tons in accordance with Government Regulation No.2 of 2015. The amount of rice production is uncertain. One way to calculate uncertainty in forecasting is by using the Fuzzy Logic of the Mamdani method and the Linear Regression of the Least Squares method. In the Fuzzy Logic Mamdani method there are 4 steps namely; 1) Fuzzy set formation; 2) Application of Implication functions; 3) Composition of Rules; and 4) Defuzzification. Rice Harvested Area, Rice Production and National Rice Consumption are the input variables and National Rice Production is the output variable. The data used are secondary data from the Central Statistics Agency (BPS) and the Ministry of Agriculture Annual Report 2006 - 2017. The data analysis process also uses matlab and minitab software. From the research results obtained that the Fuzzy Logic of the Mamdani method and the Linear Regression of the Smallest Square method can be used to predict the amount of national rice production. For the results of predictions of Fuzzy Logic the Mamdani method has a relatively large error compared to the Linear Regression of the Smallest Squares method. Furthermore it is also known that there is a significant relationship between harvested area and consumption. These two variables will be the determining factors for realizing rice self-sufficiency in Indonesia.
The Implementation of IoT (Internet of Things) for Controlling Cow Health
Authors: Prabowo Cipto , Mauliadi Rafki , Afdal  , Johan  , Zurnawita  , Alanda Alde , Rozi Fazrol
Published: May 2020

Livestock health management is a major factor in the sustainability of cattle farms. However, health care for livestock by veterinarian costs lots of time and money. The purpose of this study was to develop an android IoT device for cow physiological health management through detection of cow temperature, heart rate and breathing rhythm. This device is built based on a microcontroller. By using the concept of IoT to send data, then the information generated on the device will be displayed directly to the android application. Three adult cows were measured using android IoT device compared to conventional measurement methods as controls. This procedure was carried out for morning (06:30-09:30 am), afternoon (11:00-01:00 pm) and evening (04:30-05:30 pm). Independent sample t-test was used to determine whether there were significant differences between Android IoT device and conventional measurement method. The results show that there is no significant difference between the two methods for temperature (t(58) = -0.191, p = 0.849) and heart rate (t(58) = -0.459, p = 0.648). Utilization of device makes it easy for cattle farmers to monitor cow health regularly at economical prices and provide remote information. Furthermore, this device needs to be tested on types of ruminants such as goats, sheep and buffaloes.
Study on Impedance Matching of 2.4 GHz Dipole Antenna
Authors: Firdaus  , Monica Larra , Yustini
Published: May 2020

Understanding on matching impedance between feedline and load is important in many aplication. Theoritically, matching impedance can be calculated easily if charateristic impedances both load and line is known. Practically, when we do impedance matching at certain frequency we face a problem if the impedance of the feedline and antenna are unknown. by using vector network analyzer and anechoic chamber we tried to study and to approach the impedance match through measurement of return loss, VSWR, and antenna radiation pattern. The results of studies have shown that adjusting dipole antennas to lines can be done by optimizing antenna and lines length and subsequently optimizing the use of balun. In this reasearch we optimized 2.4 GHz dipole antenna and matched it to feedline by using bazooka and balun 1 : 1. To achieve good matching, the antenna length is 0.35 λ and the feedline length multiplies 0.5 λ. The length of the bazooka and balun for the best impedance adjustment are 0.25 λ and 0.2λ.
Implementation Of Wireless Sensor Network For Four sensors On Natural Disaster Early Warning System
Authors: Suryadi  , Zuradi Marta , Angraini Tuti , Devy Laxsmy
Published: May 2020

Wireless Sensor Network (WSN) is likely to be implemented as a long-range transmission network for sensor data to detect potential natural disaster like flood, landslide, and soil liquefaction. The sensor parameters: for example rainfall, soil humidity, vibration, type of soil, and so forth were sent from the location at which natural disaster potentially occurs and were forwarded to data center in real time for further analysis and observation. Therefore, the natural disaster which potentially occurs in the area was easily detected by the parameter of nodes that were gathered in server. When sensor detected the sign of natural disaster, the information would be conveyed through WSN to information center and was broadcasted to society as an early warning of natural disaster such as flood, landslide, soil liquefaction, etc. Such information was automatically broadcasted to society and was adjusted to the impending circumstance e.g. secure, cautious, and warning. By the implementation of WSN technology as an early warning system, it is expected to information concerning natural disaster is broadcasted accurately and rapidly to society, hence society can take quick action and response to natural disaster.
Computational study of action potential initiation and action potential backpropagation in mitral cell of the olfactory bulb
Authors: Yuniati A , Ardiyanti A D
Published: May 2020

A neuron sends information in the form of electrical activity called an action potential. The action potential propagates along the axon to all parts of the cell body. The opposite phenomena of this mechanism were observed in the neurons from various brain area as action potential backpropagation. We studied computationally the action potential initiation and action potential backpropagation in the model of a mitral cell of the olfactory bulb that consists of soma, primary dendrite, secondary dendrite, tuft dendrite, axon hillock, and initial segment. The neuronal activity was constructed with voltage-dependent sodium channels and potassium channels. In the results, we provide that the action potential initiation occurs in soma with an amplitude of 40 mV and the action potential propagation decrease as the distance gets farther from the soma. By plotting the amplitude as a function of the distance from the soma, we obtain the magnitude of action potential backpropagation amplitude has an average of about 42.7 mV. This result consistent with observations in experiments where the normalization of action potential backpropagation amplitude of the mitral cell as a function of the distance from the soma is constant.
Smart City Recommendations Using the TOPSIS Method
Authors: Nasution Nurliana , Bhawika Gita Widi , Wanto Anjar , Ginantra Ni Luh Wiwik Sri Rahayu , Afriliansyah Teuku
Published: May 2020

This study aims to recommend a city that is suitable as a Smart City on the island of Sumatera. This study uses a Decision Support System with the TOPSIS (Technique For Others Reference by Similarity to Ideal Solution) Method. The TOPSIS method is one method that is often used for ranking problems. The research data used are data from 10 major cities on the island of Sumatera. with the largest population in 2019 obtained from the Wikipedia Website (https://www.wikipedia.org/wiki/Sumatra) and the Central Statistics Agency website (https://www.bps.go.id/) as a reference in determining the assessment of each Alternative later. The 10 major cities are Medan, Palembang, Bandar Lampung, Pekanbaru, Batam, Padang, Jambi, Bengkulu, Banda Aceh, and Pematangsiantar. To be able to determine and recommend cities in the islands of Sumatera that are eligible to become Smart Cities, there are 4 criteria as an assessment of each Alternative, namely, Infrastructure, Population, Area, and Economic Level. Based on calculations using the TOPSIS method, the results obtained that the city of Medan has the highest value in the eligibility to become a Smart City.
Improved of Smart Vacuum Flask with Beverage Identifier and Temperature Indicator
Authors: Apok Mario Anak , James Wilzy Anak , Abidin Amar Faiz Zainal , Hasim Saipol Hadi , Omar Nor Haizat , Ibrahim Tengku Nadzion Tengku
Published: May 2020

Vacuum flask has been an essential part of the everyday life of a working person. Nowadays, vacuum flask is not the only function as a liquid carrier but also has been equipped with technology to diversify its function from the essential function. This paper proposes to create a smart vacuum flask that able to classify the beverage type and indicate the temperature range of the beverage. This is attempted to address the user difficulty in remembering the type and temperature of the beverage inside the vacuum flask. This project is built using Arduino as the microcontroller, while LM35 is used to read the temperature sensor. A simple concept of tomography using LDRs and LEDs is used to determine the beverage type. The flask is tested to test nine scenarios: 1) cold and clear beverage; 2) warm and clear beverage; 3) hot and clear beverage; 4) cold and juice beverage; 5) warm and juice beverage; 6) hot and juice beverage; 7) cold and milk beverage; 8) warm and milk beverage; 9) hot and milk beverage. The result obtained indicates that the prototype able to classify all nine scenarios correctly.
The Design Of Wheelchair Systems With Raspberry Pi 3-Based Joystick Analog And Voice Control
Authors: Madona Putri , Nisa Husna Khairun , Wijaya Yusmar Palapa , Akhyan Amnur
Published: May 2020

In this study, an electric wheelchair that combines two controls: joystick analog and voice control is designed. IC MCP3008 is used to navigate wheelchairs by using Josytick, where joystick analog data will be converted into digital data. The movements resulted from the joystick analog on the xAxis axis (horizontally) are the right turn and left turn, and on the yAxis axis (vertically) are forward and backward. The movements on the yAxis and xAxis axes set by the user affects the speed of the wheelchair. Meanwhile, the AMR-Voice application on Android is used to navigate wheelchairs by using sound. There are five commands in this voice control: “Forward”, “backward”, “left”, “right”, “stop”. The order will be sent to Raspberry Pi 3 via the HC-06 module to then be recognized for the command. If the voice commands are received accordingly, Raspberry Pi 3 will provide an activation signal to the motor driver to move the wheelchair in the direction corresponding to the command given by the user. Voice control testing on wheelchairs is tested in quiet rooms and noisy rooms. The results of the wheelchair control testing with sound indicate that the accuracy and speed of the wheelchair response rely heavily on Internet connection and room conditions. The average response when the condition of the room is quiet is 0.16 s and when the condition of the room is noisy is 5.18 s. Wheelchairs with joystick control and the voice made can be used for the disabled, whether for those who can move their fingers or not, at a low cost so that they can be an alternative in developing countries.
Intratextual Factors in Source Text Trimming for Indonesian-English Machine Translation
Authors: Mujiyanto Yan
Published: May 2020

Source text analysis is a crucial phase in the translation process. Several issues are proposed by experts in this particular field of study. Nord [1], for instance, proposes that this phase may be constrained by two types of factors, i.e. extra-textual and intra-textual ones, the latter consisting of eight factors which need consideration, i.e. subject matter, content, presuppositions, text composition, non-verbal elements, lexis, sentence structure, and suprasegmental features. This paper aims to consider the importance of each of the eight factors as the basis of trimming academic manuscripts in Indonesian before their mechanical rendering to English for international publication. The object of this study was 50 manuscripts in Indonesian prepared for the publication. The manuscripts were analyzed taking the eight factors into account. The trimming process, which refers to a process of making a text tidier for inter-lingual rendering, is applied to the texts considering the issues so as to be more ready for the translation. The effectiveness of the process is shown by means of comparing the results of rendering the original texts and the trimmed ones assuming that the latter is more qualified than the former. Given that the intra-textual factors are relatively influential in source text analysis for trimming purposes, it is suggestible to consider them as a supplementary procedure for the mechanical rendering of academic manuscripts in Indonesian prior to their translation to English.
Capacitor discharging calculation application based on android
Authors: Kartika Wisnu , Loniza Erika , Safitri Meilia
Published: May 2020

At this time, there were many small components to make electronic equipment such as TVs, smartphones and others. This electronic equipment uses passive components and active components. The physical size of the capacitor decreases gradually becoming smaller. Capacitors store energy in the form of charge. If there are two equal charges (for example a positive charge and a positive charge) then both charges will refuse. Conversely, if there are two different charges, they will attract each other. The purpose of this research is to create an Android-based software that can calculate the remaining charge after the discharging process. The method used is to use the calculation method of discharging capacitors. The results of this study found that the calculation can be done well and also the presence of errors in the software design process.
Seismic microtremor experiment to determine seismic vulnerability of North Aceh
Authors: Banyunegoro V H , Muksin U , Idris Y
Published: May 2020

North Aceh is an area in Aceh, Indonesia, which is crossed by the active Lhokseumawe Fault. The existence of Lhokseumawe fault makes North Aceh relatively vulnerable to seismic hazard. The seismic vulnerability consists of two main components, natural frequency and amplification factor. Microtremor measurement is necessary in order to obtain natural frequency and amplification factor of certain area. A microtremor experiment has been conducted to understand the seismic vulnerability in north Aceh. The seismic microtremor has been measured at 30 sites which are located relatively evenly in the Lhokseumawe City. The measurement result is processed using Horizontal to Vertical Spectral Ratio (HVSR) method to obtain the main components of seismic vulnerability. The natural frequency and amplification factor are able to be calculated. The seismic vulnerability index calculated form natural frequency and amplification factor is also successfully calculated. The area located in the south of the Lhokseumawe Fault is seismically more vulnerable which is also correlated with the rock’s formation of the area. The results are still preliminary that needs more information from the seismic wave velocity representing the characteristics of rocks or soils.
First-Order Fuzzy Time Series based on Frequency Density Partitioning for Forecasting Production of Petroleum
Authors: Wulandari R. , Farikhin  , Surarso B , Irawanto B
Published: May 2020

Forecasting method based on fuzzy time series has been widely developed in recent years. In this paper, we propose a new improvement at determining universe of discourse, variation historical data and partitioning stage. At early stage, we define the universe of discourse then calculate the basis value to find out how much interval should be used with variatin historical data. Secondly, we are partitioning the main intervals into several numbers of sub-intervals. The empirical analysis shows that sub-interval caused the fuzzy number getting closer to crisp value. It causes the better forecasting value. We use the data of yearly production petrolium Indonesia for simulation. We compare the forecasting results and error value of the method with previous existing methods The modifications give better forecasting results than previous methods indicated with smaller The Means Squared Error (MSE) and Average Forecasting Error (AFER).
The Integration of Retention Pond And Composite Sluice in Flood Prevention in Makassar City
Authors: Singgih Hanna
Published: May 2020

in 2018, Badan Pengkajian dan Penerapan Teknologi (BPPT) has developed composite sluice for controlling flood goals. The integration of retention pond and composite sluice deemed necessary to be analyzed as the integrated system as a flood disaster mitigation effort. This study aims to give a brief overview of the suitable retention pond capacity, which is integrating with composite sluice as a flood prevention effort. The retention pond designed in this study requires rainfall data, land use data and topography map. This study method uses empirical formulation based on statistical parametric on hydrology analyze and hydraulic analyze as a basis of retention pond capacity calculation and composite sluice as flood controller. The result of this study are; the maximum flood discharge in 10 years return period is 103,28 m3/s, while the riverbed discharge capacity with 8 meters width is 68,29 m3/s. To prevent flooding the retention pond volume with capacity volume in 1.117.214,24 m3 has required. In sluice practical width calculation for the retention pond, the resulting amount is 28,70 meters. It takes 32 units of composite sluice if the current needs to be maintained. The side composite sluice width has obtained 1 meter while the total composite sluice building width with four units for the retention pond is 6,4 meters.
What is Effective Use of Big Data? The Consensual Definition of Effective Use of Big Data
Authors: Sejahtera Surbakti Feliks P
Published: May 2020

Big Data has attracted significant attention in recent years due to its potential. The use of Big Data is believed to be another source of competitive advantage for organizations. A leading organization in the future is an organization that can use Big Data effectively. However, what constitutes effective use of Big Data remains elusive and evidence suggests that most Big Data projects fail to deliver on their expectations and that executives are slow to adopt Big Data. Existing Engineering Management and Information Systems research have explored effective use in a variety of contexts; however, it is yet to specifically consider the unique characteristics of Big Data. Accordingly, there is a need for rigorous study on what the core of the concept of effective use of Big Data. The aim of the study is to understand better the effective use of Big Data. A multiple case studies approach is followed in the investigation. Eight organizations from private and public organizations were investigated. Data were gathered primarily using semi-structured interviews and through document analysis. The study results show the core of the concept of effective use of Big Data.
Selection strategy implementation of cleaner production using ISM and AHP Method in Chemical Laboratory of Service Industries
Authors: Rimantho D , Ardinia D
Published: May 2020

The chemical analysis in the service industry cannot be separated from energy use, water, consumables, and chemicals related to the amount of waste produced. The number of hazardous solid waste generated in the CRS Chemical Laboratory division has increased in certain months, ranging from 400-600 kg. This shows the low implementation of green production in the company. Therefore, the purpose of this study is to analyze the key criteria and determine the best strategies to reduce waste. The method used in this study is Interpretive Structural Modeling to find key criteria and the Analytic Hierarchy Process method to determine the priority selection of clean production implementation strategies. This study uses a questionnaire distributed to four experts. The results showed that there were nineteen sub-criteria analyzed in determining key criteria. The sub-criteria for lack of awareness from both individuals and organizations regarding changes for the better is a key criterion in the application of cleaner production. Furthermore, the best alternative calculation results using the AHP method obtained by the implementation of periodic green production socialization to employees has the greatest valuation of 0.57 with a Consistency Ratio (CR) of 0.09. Further research is needed to evaluate the alternatives chosen.
Design of Facility Location for new model of Medical Pharmaceutical Refrigerator Production Area on PT. XYZ
Authors: Prasetyani R , Siti A , Timang G A
Published: May 2020

PT. XYZ is a manufacturing company that produces medical devices. The company has planned to develop a new product called Medical Pharmaceutical Refrigerator (MPR). Based on research, the company has provided an area for MPR production of 648 m2. After analyzing the process, 5 areas are used in conjunction with other products, but one area called Polyurethane Injection produces a product flow mismatch in the PU area. This problem is solved by designing a layout using the Industrial Facilities method and Systematic layout planning with the Product layout approach. Based on the results of the study, proposed two alternative layouts which then analyzed the weight of material transfer using the From-to-chart method. Layout design 1 has a weight transfer material of 9322.09 per day, while the proposed layout design 1 produces a weight transfer material of 5750.5 per day. So, the MPR production layout is determined using the layout design 2. By determining this layout, a biomedical warehouse area was moved at of 49.42 m2.
Retailer’s EOQ model considering demand and holding cost of the defective items under carbon emission tax
Authors: Daryanto Yosef , Reira Christata Bellachintya , Murti Kristiyani Ika
Published: May 2020

This paper presents a retailer’s inventory model considering imperfect production process and material handling that cause some defective items. The defective items possess a fraction of its original utility. Therefore, after a quality inspection, the retailer holds them in a different area until they are sold entirely. The proposed model considers the demand and holding cost of the defective items. It also incorporates carbon emission costs from transportation and storage activities. The objective function is to maximize the expected total profit, which simultaneously minimizes the total carbon emissions. A numerical example illustrates the model implementation. From this data set, the optimum order quantity is 1770.1 units, and the backorder quantity is 580.3 units, which give an expected total profit of $ 1, 227, 945 per year and expected total emissions of 0.765 tonCO2/year. Further analysis shows a trade-off between economic and environmental performance. Incorporating carbon emission costs into an EOQ model will reduce the expected total carbon emissions. However, it also causes a reduction in the expected total profit.
Allocation of Maltodextrin Raw Material Orders by Fuzzy Analytic Network Process (FANP) and Goal Programming Methods (Study Case: PT. Neopangan Selaras Indonesia)
Authors: Magdalena R , Dias S P , Ginting A P
Published: May 2020

PT. Neopangan Selaras Indonesia is a food company that produces seasoning. One of the raw materials with the most frequent problems with delays and wrong allocation is maltodextrin, which is 72%. To determine the need for evaluation for each maltodextrin supplier using the Fuzzy Analytical Network Process (FANP) and Goal Programming methods. The existence of a method of merging these two studies. Determination of the proportion of the criteria and sub-criteria in the company by minimizing changes in each assessment. The FANP method in this study produced criteria and assessments of each supplier that could be considered in the allocation of the purchase of raw materials. The best supplier of weights was obtained by PT. Indo Asia Tirta Manunggal (0.4421). The Goal Programming method provides a solution by minimizing total costs by considering the price of each supplier, maximizing the purchase value by considering the weight generated. This method produces a solution that produces a total cost of 0.134%, increasing the purchase value of 1.143%.
Integrated model for Multi-criteria Supplier Selection and Order Allocation Problem
Authors: Tarliah Dimyati Tjutju
Published: May 2020

This paper discusses an integrated model of selecting suppliers and order allocation for a company that wishes to decide the quantity to be ordered from each supplier on the basis of some qualitative criteria. Since each supplier may have a different performance with respect to these criteria, an integration of analytical hierarchy process and linear program model is proposed to solve the problem in two stages. In the first stage, suppliers are evaluated based on qualitative criteria to consider both tangible and intangible factors in choosing the best suppliers. The output of this stage is the final score of each supplier. In the second stage, a linear programming model is proposed to placing the optimum order quantities among them such that the total final scores of suppliers become maximum. The mathematical programming model is validated through numerical analysis, and the computation result shows that the model is effective and applicable.
Development of waiting time predictor based Artificial Neural Network
Authors: Limlawan V , Anussornnitisarn P
Published: May 2020

Queue is a part of our daily life. Everyday people have to wait in queue for services such as waiting for train, buying a cup of coffee. Unfortunately, it is difficult to eliminate waiting time in queue because it is very costly to do. Some business provides queue-length to each customer for reducing customer anxiety, but the given queue-length is often larger than the actual queue-length. Customers estimated the waiting time from the given queue-length and decide to leaves the queue, so the business may lose customer to their competitor. This paper aims to propose the design of the system that can provide the accurate estimated waiting time to each customer. The proposed system constantly updates queue-length and service rate. The updated queue-length and the updated service rate are used as the input of Artificial Neural Network (ANN) which is the waiting time predictor in the system. ANN with the proposed system is compared to the other predictors such as linear regression, the historical based predictor, Queue-Theory predictor. The result shows that ANN with the proposed system outperforms the others, and more than 95% of predicted waiting time by ANN is accurate within 5 minutes tolerances.
Integrated FMEA-MCDM For Prioritizing Operational Disruption in Production Process
Authors: Muqimuddin  , Singgih M. L.
Published: May 2020

The more complex the production system of a company, definitely makes it sensitive of change or known as disruption. Disruptions always occur in production process and also cause productivity decrease. If there are any kind of disruptions occur, so the desicion maker have to prioritize it appropriately. The risk is going to be greater as a consequance when the priority made is false. FMEA is one method that is often used for evaluation and prioritization, especially failure as one type of disruption to minimize risk which can be adopted to assess and evaluate disruptions. The FMEA has some shortcomings including it is not considering the importance of each factor, not considering uncertain information from expert, not considering the cost as one of the criterion considered, and the level of severity is hard to measure, because on different objects can be measured by different aspect. Therefore, this research aims to develop FMEA model for prioritizing disruptions in production process. The model can improve some shortcomings of conventional FMEA. In achieving this goal, several methods are integrated including Analytical Hierarchy Process (AHP) which aims to determine the importance weighting of RPN element factors. In addition, this study uses the Technique for Order Preference by Similarity to an Ideal Solution for prioritizing disruption. Rough set also uses as a method for aggregating opinion of experts, and also uses for improving uncertain information. The model also considers loss revenue as aspect to measure severity level of disruption in determining prioritization.
The Proposed OEE-SIGMA Prediction for Increased Profits
Authors: Prasetyawan Y , Giffari F , Putera B S A
Published: May 2020

Most of the organizations adopt methods to measure their operational performance based on timeframe and requirements. One of the most commonly used measures of performance against capability of the equipment is the Overall Equipment Effectiveness (OEE). Overall Equipment Effectiveness (OEE) metric application in industry has been facing a challenge of continuing advancement in industrial operations. A smart OEE is required for a quick response to the dynamism in industrial system. In this study, OEE metric is made smart by integrating sigma continuous improvement tool into it for the enhancement of dynamism required of the traditional OEE model measured basically on three factors-availability, performance and quality. System productivity dynamism is measured and predicted through sigma statistical variation of the production process defined as a ratio of delivered output (supply) to the expected (planned) output. In this research, the model was applied to made dynamics simulation for increased profits of many manufacturing organizations. The result obtained are increased elements in OEE in line with increased of profits. This indicated that smart OEE-sigma model is a better tool for enhancing continuous improvement which can accurately measuring the financial benefits of proposed improvement projects.
Optimizing Schedule In Furniture Planning
Authors: Talib Bon Abdul
Published: May 2020

The methodology for developing the production system schedules from a project management perspective is being investigated. System orders are considered to be potentially parallel projects that share the same resources. The mechanics of manufacturing controls are discussed in an existing project management package. Order input to the network is envisaged via the web and, after generation or re-generation of schedules, the estimated fulfilment period and delivery date for each order should be accessible via the internet again. Both ideas were described on the basis of real data from a security door supplier operating a make-from-stock, process-oriented production program. The system provides, on the one hand, the approximate (calculated) completion time of each task and, on the other, the assignment of daily work to assets. Nonetheless, it would have trouble performing more than 3000 activities with concurrent asset scaling.
Book trolley design for Telkom University Library using User Centred Design (UCD) method
Authors: Rahayu Mira , Arianto Silalahi Frans , Febrianti Erna
Published: May 2020

Telkom’s library book trolley is a tool to help visitors and librarians returning and shelving books. There are still many complaints from the visitors about the library environment which is untidy and some discrepancies between the information about book’s availability on the website and on the bookshelf. In addition, there are complaints from librarians about the visitor’s habit which is not follow the guidance in the process of returning books and existing trolley books are small and difficult to control. The purpose of this study is to develop the design of Telkom library book trolley in accordance with the wishes of users using User Centred Design method as a concept to determine the design of Telkom’s library book trolley parameters. Survey was conducted to identify user criteria and statistical analysis was used to test the developed hypotheses. The results of this study are the design of Telkom library book trolley parameters that can represent the wishes of users and present Effective, Safe, Health, Comfortable, and Efficient designs. Based on the validation test using marginal homogeneity test, the design is valid in fulfilling the design criteria that the user want with the significance of 5%
Performance measurement using Balance Score Card and Analytic Network Process in Elastomer Switch Keypad Manufacturer Indonesia
Authors: Doaly C O , Salomon L L , K J Arta A
Published: May 2020

Elastomer Switch or rubber keypad are manufactured from silicon rubber properties to make button on cars, cellphone seals and TV remote buttons. From the sales analysis report show that trends that occur in company’s sales volume are declining in recent years with an average of 204 complaints per year, so the measurement of company performance needs to be done. In this study, company performance is measured by applying the Balance Scorecard which provides a multi-dimensional evaluation framework and weighting calculations based on the Analitic Network Process (ANP). A KPI Performance Aplication Design is generated from this research to help companies know what perspectives affect the company. The results of performance measurement using the Balance Scorecard Method show that the total performance of the company has a value of 2.741 which means that the company’s performance is still not good, but it is almost close to good enough value. So it needs some improvement for the future
The Effects of Sleep Quality on Vigilance and Driving Performance in a Train Simulator
Authors: Siswanto D , Iridiastadi H , Muslim K
Published: May 2020

Train driving activity requires high vigilance to prevent human errors that can lead to accidents. One factor mentioned to reduce vigilance is poor sleep quality. But so far, not many studies have proven the effect of sleep quality on vigilance. Previous researches did not clearly conclude this effect. In addition to being vigilant, sleep quality is also thought to effect driving performance because of the close relationship between vigilance and driving performance. Based on those backgrounds, this study aimed to prove the effects of sleep quality on vigilance and driving performance through experiments in a train simulator under monotonous condition, which in some studies is also proved to reduce vigilance. This study involved eight male subjects who experienced two good and poor sleep quality treatments. Through vigilance measurements with Psychomotor Vigilance Task (PVT) and electroencephalograph (EEG) using Multivariate Analysis of Variance (MANOVA) with significant value 0.05, it showed that there were effects of sleep quality on mean reaction times, minor lapses, mean relative band powers for theta, and speeding simultaneously (p-value = 0.015). The results of paired sample t-tests also showed the effects of monotonous driving conditions that affect mean reaction times (p-value = 0.01 on good sleep quality; p-value = 0.000 on poor sleep quality) and minor lapse (p-value = 0.000 on good sleep quality, p-value = 0.045 on poor sleep quality) at the beginning and the end of the experiment. From this study, it can be concluded that the quality of sleep affects vigilance and driving performance, so that poor sleep quality decreases vigilance.
Designing the Smart Health Function towards Puskesmas (Citizen Health Centre) based on Smart City Concept
Authors: Miftahul Jannah Alif , Lubis Muharman , Saedudin Rd. Rohmat , Fritasya Dwiputri S
Published: May 2020

According to Regional Regulation No.23 of 2014 Article 386 until 390 which requires all institutions to adopt architectural designs to bring up architectural innovations. A smart city is a concept of the application, development, and implementation of technology that is applied to a region (especially urban area) as a complex interaction between the various systems in it. One important development area to be developed is the health sector. In Indonesian constitution of article 28 H and 28 I that the state must guarantee the lives of all its citizens, include by providing appropriate services such as health services. This study aims to design an enterprise architecture in health functions within Citizen Health Centre management system based on the Smart City based on the TOGAF ADM framework, so that it is expected to help the city government work program in realizing smart city and business activities that currently run can be supported by information systems so as to increase satisfaction Bandung City communities. Based on the results of research on public health functions at the Bandung City Health Office obtained a design or blueprint that focuses on the preliminary phase, architecture vision, business architecture, system architecture, information technology, opportunities and solutions, and migration planning.
Solar Panel-based Wireless Battery Charging System using Fuzzy Control Method
Authors: Hendro Yuwono Alfarid , Rivai Muhammad , Arief Sardjono Tri
Published: May 2020

Rapid technological development leads to the growth of electronic devices powered by batteries. This requires a simple, fast and safe battery charging system. In this study, we have designed and realized a wireless battery charging system supplied by solar panel using the fuzzy control method. This system is equipped with solar tracking to produce optimal electric power. Furthermore, fuzzy control system is applied to determine the amount of charging voltage by taking into account the temperature of the battery. The experimental results show that the solar tracking system can improve the performance of solar panel. The system always detects the temperature of the battery and will reduce the voltage value during the charging process as the temperature increases. This battery charging system will also automatically decrease the charging voltage when the battery voltage approaches the maximum value. This system is expected to be used as a fast battery charging system without affecting the battery life.
Assessing supply chain practices and how they are perceived to impact performance of firms in Sierra Leone: A Case Study in a telecommunication company (Sierratel)
Authors: Andrew Fornah Hassan , Nyoman Pujawan I
Published: May 2020

As competition is no longer between organizations but among supply chain players, Supply chain practices have become a major strategy employed by many businesses to gained competitive advantage and improving organizational performance. The research aimed at assessing Supply Chain Practices and how they are perceived to impact the performance of firms in Sierra Leone a case study in a Telecommunication Company (Sierratel). Two paradigms of the supply chain were developed for this research. Supply chain enablers (Organization, People, Technology, Plan, Source, Deliver, Information Sharing) and supply chain non-financial performance (Flexibility, Responsiveness, Reliability and Agility). Self-administered questionnaires were sent to thirty-four respondents through google form using a simple stratified random sampling technique. Descriptive statistics is applied to analyse the data through SPSS. The findings showed differences in various supply chain practices adopted and implemented by the company. People, Technology, Delivery, Responsiveness, Reliability and Agility did not create much impact on the company’s performance. Further analysis also revealed that supply chain processes as one of the practices among the others adopted and implemented are almost in its right footpath as compared to strategy and performance but continuous improvement of supply chain practices will attain a sustainable competitive advantage and hence firm’s performance.
Deoxidation Equilibrium of Silicon in the Nickel-Cobalt Melts
Authors: Aleksandrov A A , Ya Dashevskii V , Kanevskii A G
Published: May 2020

The oxygen solutions in the Ni-Co melts containing silicon have been thermodynamically analyzed. The activity coefficients at infinite dilution and the interaction parameters in the Ni-Co alloys at 1873 K are calculated. The oxygen solubility depending on the silicon content in the studied alloys are obtained. Silicon is characterized by the high affinity to oxygen in these alloys. The deoxidation ability of silicon decreases slightly with an increase in the cobalt content in melt. In the Ni-Co alloys with more than 20% of cobalt, at a silicon concentration of less than 0.5%, the deoxidation ability of silicon is virtually unchangeable.
In silico determination of substrate spectrum of lactonases, hydrolyzing various N-acyl homoserine lactones
Authors: Aslanli A G , Efremenko E N
Published: May 2020

The rapid growth in the number of resistant pathogenic bacteria has led to a decrease in the effectiveness of the existing antimicrobial agents. N-acyl homoserine lactones (N-AHLs) are the key molecules responsible for the formation of antibiotic resistance of gram-negative bacteria. The combination of various lactonases, capable of hydrolyzing a wide range of N-AHLs, with antibiotics, is one of the most appropriate ways to solve the problem of maintaining the effectiveness of the latter. The most interesting is the combination of lactonases with different substrate spectrum of action. In this study, using the molecular docking method, we investigated the substrate range of various lactonases in order to select enzymes suitable to combine with hexahistidine-tagged organophosphorus hydrolase (His6-OPH), for which high lactonase activity against a number of N-AHLs and the possibility of complex formation with antibiotics have been shown previously. It was found that all the studied lactonases hydrolyze predominantly long chain N-AHLs, while, among all studied lactonases, the SsoPox enzyme from the class of phosphotriesterases-like lactonases was the best candidate for the development of combined enzyme preparations.
Refractive index of fluoride crystals doped with rare earth ions with low concentration
Authors: Chunaev D S , Karasik A Y , Konyushkin V A , Nakladov A N , Zverev P G
Published: May 2020

Refractive indices of SrF2 crystals doped with low concentrations of holmium, erbium, and thulium ions are investigated. These crystals are attractive as active laser media for developing planar waveguides for near and mid-IR spectral regions. It is shown that, by varying the concentration of impurity rare-earth ions in SrF2 crystals, it is possible to increase and control the refractive index of the medium. This allows one to develop planar waveguides with the core and shell of the same fluoride and control theirs numerical aperture and the number of excited modes. The design of single mode planar waveguide is calculated and proposed for the wavelength of 2 um.
Thermochemical grinding of diamond films in installation for chemical vapor deposition of diamond from the gas phase
Authors: Eremin S A , Kolesnikova A M , Leontiev I A , Anikin V N , Yu Kudryashov O , Yashnov Y M , Zhdanova M V
Published: May 2020

The paper studies the process of thermochemical grinding of diamond polycrystalline films in atomic hydrogen, using microwave to generate a plasma discharge, in the temperature range 1000 - 1100 0C. It is established that the increase in temperature leads to an increase in the rate of diamond dissolution due to the formation of eutectic. The study of roughness showed that after thermochemical grinding roughness of the diamond film is about 0, 8 urn. The speed of thermochemical grinding varies from 20 um/h to 3 mm/h Raman spectroscopy allowed us to establish that thermochemical grinding does not degrade the quality of the diamond film, and atomic hydrogen reduces the possible graphitization caused by heating.

It is suggested that the mechanism of gas bubbles in the process of thermochemical grinding associated with the formation of methane and its subsequent decomposition into a methyl radical and atomic hydrogen in the plasma discharge.
Reactionary-solidified oxygen permeable membrane material based on cermet Bi1.6Er0.4O3 – 26 wt % Ag – 4 wt % In
Authors: Fedorov S V , Lysenkov A S , Kulbakin I V
Published: May 2020

Using hot uniaxially pressing in argon atmosphere at 800 °C and at a stress of 6 MPa, the high-density reactionary-solidified cermet material based on Bi1.6Er0.4O3 - 26 wt % Ag - 4 wt % In with total porosity of less than 0.3 % was firstly synthesized. The relationship between phase composition, microstructure, oxygen permeability coefficient, and oxygen selectivity (vs air nitrogen) of this material before and after its long-term (100 hours) operation as an ion transport membrane was established. The dependences of oxygen transport through this cermet material at 650-800 °C were investigated: for example, at 800 °C and at a ratio of oxygen partial pressures on both sides of the membrane of about 20, the oxygen transfer regime changes from diffusion to kinetics while the characteristic thicknesses of membrane were of 0.11 cm. It was shown that at 800 °C the membrane material based on Bi1.6Er0.4O3 - 26 wt % Ag - 4 wt % In had an oxygen permeability coefficient of 1.1 • 10−8 mol/cm/s, while its selectivity for oxygen (over nitrogen) was about 100. The decrease in oxygen flux by 1.3-1.5 times during 100 hours of work at 700-800 °C with a slight change in oxygen selectivity was observed, thus the possible causes of this phenomenon were explained.
Spectrophotometric determination of epinephrine using new analytical systems based on label-free silver triangular nanoplates
Authors: Furletov A A , Zaytsev V D , Apyari V V , Garshev A V , Volkov P A , Dmitrienko S G
Published: May 2020

Silver triangular nanoplates (AgTNPs) is a promising and still relatively poorly studied colorimetric probe for sensing various organic compounds. In particular, they undergo a change in their morphology when interacting with various catecholamines. This process is accompanied by a hypsochromic shift of the local surface plasmon resonance (LSPR) band of nanoparticles. The greatest spectral changes can be observed in the case of the interaction of AgTNPs with epinephrine which can be the basis for a sensitive method for its detection. It was found that the detection limit of epinephrine under the selected optimal conditions is equal to 3 uM, and the dynamic range is from 9 uM up to 50 uM. Selectivity of the proposed method for the epinephrine determination was evaluated as well. It was shown that the determination does not interfere with a 10-fold excess of vanillylmandelic acid and dopamine, and with a 1000-fold excess of common cations and anions. The proposed approach was successfully applied to the determination of epinephrine in a drug and a sample of artificial urine containing an epinephrine additive.
The study of model reactions occurring in the synthesis of adaptive multiblock polyurethanes
Authors: Gorbunova M A , Imamutdinova A M , Lodygina V P , Anokhin D V , Badamshina E R
Published: May 2020

In the paper a study of formation process of linear polyurethane on the basis of 4, 4′-diphenylmethane diisocyanate, poly(1, 4-butylene adipate) diol and 1, 4-butanediol is presented. The kinetics of the first stage of macrodiisocyanate formation reaction was studied by IR spectroscopy. Experimental and calculated values of the rate constant of the first reaction stage were obtained. The influence of the solvent on the polyurethane structure was defined. The conditions to fabricate polymer with a maximum crystallinity degree have been determined. Important results for the synthesis of the shape memory multiblock polyurethane thermoplastic elastomer have been obtained.