bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep Residual U-Net Based Lung Image Segmentation for Lung Disease Detection
Authors: Mique E , Malicdem A
Published: May 2020

The World Health Organization (WHO) estimated that by the year 2030, lung disorders such as Chronic Obstructive Pulmonary Disease (COPD) would be one of the leading cause of death all over the world. Consequently, accurate and timely detection of lung diseases may prevent further death. It is therefore vital that the early detection may lead to treatment and prevention of mortality among patients. However, there are only a minimum number of experts or well-trained radiologists reading Chest X-Ray (CXR) that delays the timely diagnosis of lung diseases. In order to aid the radiologist in reading CXR images, a computer-aided tool is proposed. Before the processing of images, it needs to be segmented to make it easier for the machine to understand. This study is focused on developing a model that will segment the lung from CXR images. Using Residual U-Net (ResUnet) architecture based semantic segmentation, the researchers were able to develop and train a model using a set of 562 CXR images and lung mask images, 70% of the images were used as training data and 30% as test data. The model was trained with 40 epochs and a batch size of 16. Dice coefficient was used to assess the similarity of the segmented result and the ground truth mask. The developed model has achieved a Dice coefficient of 0.9860. The developed model can then be used in classifying lung diseases by focusing on the segmented image rather than focusing on the entire CXR image.
LogIO: An Adaptive Gamification Learning Approach on Digital Logic Gates
Authors: Torio JO , Bigueras R T , Maligat D E , Arispe M A , Dela Cruz J S
Published: May 2020

The gamified e-learning approach has been widely used as a learning and teaching strategy, particularly in higher education. This strategy has been successfully used to engage, motivate and enhance learning performances. However, learners or students react differently to game designs and game mechanics depending on the subject area that a particular gamified application though there are several studies shows that gamification enhances motivation. In this paper, we designed and implemented a specific learning model for the gamified digital logic gates or LogIO. Thus, thirty (30) learners evaluated and we determined how do game design elements affect learners in terms of motivation, performance and learning experience. The main results of this study showed that learners agreed that the motivation level and usability of LogIO have a weighted mean of 4.56 and 4.49 respectively while performance and learning experience level has 81% during the utilization of the gamified mobile application. These results support the significance and relevance of adapting particular design elements for gamified digital logic gates to enhance motivation, performance and learning experience.
A Model of Computation-based Naming System for Musical Elements of Java Traditional Song
Authors: Syarif Arry Maulana , Azhari  , Suprapto  , Hastuti Khafiizh
Published: May 2020

In a research which involves mathematics and music, information of pitch, such as note, bars, melody line, beat, tempo, and others, was used as dataset to be processed by computer in generating or predicting musical objects. Helmholtz notation and scientific pitch notation used in western music are formal notation writing systems that have been applied in the computer science research as in the topics of algorithmic composition or music information retrieval. A Model of computation-based naming system for musical elements of Java traditional song called gendhing scientific pitch notation or GSPN was proposed to provide a method of information data recording of pitch in a term that can be read and write by human and computer. The method was conducted in two phases, which were Identification of musical elements and formulation of computation-based naming system. The model was successfully implemented in a simple computer program that has a task to read a data in GSPN format and to write by generating a music sheet based on the input data.
Design and Development of Data Warehouse Framework of Highland Vegetable Crops for Benguet
Authors: Quitaleg A R , Ortiz M G
Published: May 2020

The data warehousing technology has been widely used in organizations providing management, data integration and helps do the decision-making. Data warehouse offers an effective way for analysis and statistics to the big data in agriculture. Agriculture is one of the major issues in the Philippines and needs technological advancement. There is an increasing need for farmers and decisions makers in processing agricultural data. Agricultural datasets are diversified, non-standard and very large. It captures information about crops, farmers, buyers and other factors and requirements pertaining to the agricultural production. Designing a data warehouse for agricultural data is a great challenge for the researchers. The data warehousing technology has been widely used in organizations providing management, data integration and helps do the decision-making. Data warehouse offers an effective way for analysis and statistics to the big data in agriculture. Agriculture is one of the major issues in the Philippines and needs technological advancement. There is an increasing need for farmers and decisions makers in processing agricultural data. Agricultural datasets are diversified, non-standard and very large. It captures information about crops, farmers, buyers and other factors and requirements pertaining to the agricultural production. Designing a data warehouse for agricultural data is a great challenge for the researchers.
Design and Implementation Network Administrators Account Management System Based on Authentication, Authorization, and Accounting Based on TACACS and LDAP
Authors: Paramitha Ardelia Puri , Rochim Adian F. , Fauzi Adnan
Published: May 2020

Authentication is required for to authenticate user administrators for accessing network devices. In large-scale network devices management, firstly administrators need centralized user management to modify their account for logging network devices. Secondly, they must have log monitoring data who modified their account. The goal of this research is to develop and implement Authorization, Authentication, Accounting (AAA) system and making Log Monitoring System (LMS). Objectives of this research are implementing a system that can centralize and manage network administrators account. Design and topology of the network use simple star network. Software design uses Rapid Application Development (RAD) method. Research began with analyzing the research problem, next step is creating a system design, then build the system. After the system has been built, a demo is done whether the system is running well. If the system has not functioning as desired yet, refine the system. If already functioning as desired, a testing is done. If there are no obstacles during testing, the system is ready to be implemented by users who will use the system. The result shown that system is able to centralized authentication and authorization using Terminal Access Controller Access-Control System (TACACS), and processing accounting data into information in graphical form using ELK Stack. The result of the research is developing monitor user login and log review. The test result shown that system can manage network administrators account according to the Authentication, Authorization, Accounting (AAA) principle.
Automation Process to Support an Information System on Extreme Weather Warning
Authors: Tamamadin M , Susandi A , Pratama A F , Faisal I , Wijaya A R , Firdaus I M , Kuntoro W S
Published: May 2020

Hydrometeorological hazard early warning system has been developed in order to support public society in anticipating the extreme weather in Indonesia. Meanwhile, the early warning system in Indonesia still produced locally and need arduous human resources to process the enormous size data to have a good quality early warning. Therefore, in order to increase the effectivity, efficiency, and efficacy of the early warning system to produce the desired result, the automatic process was needed. This study will explain further the mechanism of process automation from the weather forecast to the output of warning displayed in an information system. The automation process combines several scripting in Python and batch script for GIS processing, as well as process scheduling using task scheduler. The output of extreme weather warning is in form of JSON files stored in organized folder directory. The automated process proven to be more useful in increasing the effectivity, efficiency, and efficacy of the early warning system to produce the desired result and later the automated process could be enhanced further to boost the lead time and reducing the arduous task in producing the early warning system.
The algorithm of diagnosing the development of a skid when driving a two-axle vehicle
Authors: Antonyan A , Zhileykin M , Eranosyan A
Published: May 2020

Vehicle controllability and stability are the most important operational properties and components of active traffic safety, improving these qualities around the world are given great importance. One of the major challenges when designing algorithms for active safetyvehicle systems is obtaining reliable information about the quantitative vehicle parametersvalues, allowing to judge how these parameters match the specified driver, to predict theemergencysituations incident moment and diagnose these situations (e.g., front or rear axles kidding, the tipping risk, etc.). One of the most common parameters used in practice, characterizing themultiaxial wheeled vehiclesmotion conditions, is thevectordeviation angle of the vehicle center of gravity (CoG) actual velocity from the vector of its theoretical (kinematic) speed. However, determining the actual velocity vector direction of the CoGis associated with great computational difficulties due to the need to build complex predictive Kalmanfilters. A method for determining the two-axle wheeled vehiclesmotion parameters to ensure the dynamic stabilization system operation, allowing reliable and economical diagnosis of skid front or rear axles of a two-axle vehicle.
Stabilization of the loading characteristics in the durability analysis of thesuspension components of tracked vehicles
Authors: Dubin D , Gadolina I , Khusnetdinov T
Published: May 2020

For a reasonable and reliable assessment of durability at the design or operation stage of the tracked vehicles, it is required information about the loading process, which is usually obtained by registering the load by various methods, such as strain measurement. For a reliable assessment of loading and, consequently, durability, the question arises about the representative length of the loading process recording. The paper proposes a method for determining the necessary and sufficient realization length using various methods of processing of the recorded random loading realization. The efficiency of the proposed method is demonstrated by the example of the evaluation of the random loading processes in torsion shafts of the suspension systems of a high-speed tracked vehicle. The justification of the necessary and sufficient length of the record of the random loading process is given.
Special aspects of the test of ATV equipped with the electronic engine management system Continental M3C on a dynamometer test bench
Authors: Ilyushin D , Salikin Y , Shekhovtsov V , Diakov A , Evseev K
Published: May 2020

In this article the problems of taking characteristics of the power plant of BRP Can-Am Outlander max 570 at its loading on a dynamometer test bench DynaPack are considered. The possibilities of using input and output electrical signals of sensors and actuators of the electronic engine management system Continental M3C, including the use of third-party electronic engine management unit M74CAN cars VAZ. The schematic solutions for obtaining the value of the engine crankshaft speed of the ATV by the standard software of the DynaPack dynamometric stand are proposed. Based on the analysis of the developed circuit solutions, as well as the features of loading, power plant in general, and the engine in particular, on the dynamometer test bench DynaPack decided to use the fuel injector control signals to determine the speed of the crankshaft engine. To increase the stability of the results of the series of experiments, a method of monitoring the position of the engine throttle valve was proposed. In conclusion, the speed characteristics of the BRP Can-Am Outlander max 570 quad bike power plant at various levels of opening the throttle valve are shown.
Increasing the smoothness of the course of the forage harvester by optimizing the mass-dimensional and inertial parameters of its body
Authors: Zhileykin M , Sirotin P
Published: May 2020

The scientific-methodical substantiation and practical recommendations on stabilizing the movement of forage harvesters are proposed. Calculation of optimal mass and inertial parameters of the hull, as well as elastic properties of tires as the main element of the combine suspension system is theoretically grounded. The developed technique on the example of the combine prototype shows the possibility of calculating the optimal stiffness of tyres and weight of additional counterweights installed in the base of the machine to ensure the equality of natural frequencies of front and rear axle oscillations on elastic tyres. The modeling of the combine’s movement on the subsoil road and asphalt concrete highway with different speeds has been carried out on the basis of mathematical and imitation model of the combine developed by the authors earlier. In the order to evaluate the efficiency of the proposed method of improving the smoothness of running the comparison of peak and mean square values of the pitch angle of the hull, as well as the levels of vertical vibroaccelerations in the cabin on the floor under the seat of the operator of the combine in its basic design and improved version due to the use of counterweights of a given mass and optimized stiffness of tires. A simulation was used to perform an octave analysis of the workplace vibration load. It is shown that optimization of mass and inertial parameters of the body, as well as elastic properties of the combine harvester tires on the main driving modes provides improvement of comfort of the operator’s working place, especially in the most dangerous for human frequency range. The driving modes are defined, on which the best effect of rework is achieved. The stabilization process is described. The conclusions on the direction of further research are presented.
Vehicle vibration safety estimation area
Authors: Zheglov L , Fominykh A
Published: May 2020

It is known that the problem of mathematical modeling of the car vibration isolation system can be solved in the frequency and time domain. As the primary vehicle vibration isolation system has non-linear elements, the question arises: how does the linearized dynamic system solution in the frequency domain corresponding to the calculations of the accepted parameters in the time domain? The problem is solved at random kinematic perturbation from the road surface. Therefore, when working in the time domain to estimate the adequacy of solutions, it is necessary to make a choice of the method of statistical linearization from the known in practice design of automatic control systems. Four methods of statistical linearization are considered, using which calculations in the frequency domain have been carried out. For the chosen dynamic system with initial and statistically linearized nonlinear elements similar actions in the time domain were carried out. It is shown that the first method of statistical linearization is the most flexible, according to the amplitude-frequency response of the system. Such calculations were carried out for two surfaces corresponding to the cobblestone and subsoil roads at different speeds of the vehicle movement. The results of the research are separate-frequency and integral parameters. The last ones do not give any priority in the choice of the calculation field, under the condition of vehicle movement safety, i.e. there is no tire contact loss with the supporting surface.
The study of parametric optimization algorithms on example of vehicle bumper crashworthiness
Authors: Goncharov R , Zuzov V
Published: May 2020

Different algorithms of parametric optimization (implemented in the program LS-OPT) to solve high-speed and high-nonlinear problems of impact character on the example of vehicle bumper optimization are considered and compared. Different algorithms of response surface optimization such as linear polynomial model, quadratic polynomial model, Feedforward, Radial Basis Function, Kriging and Support Vector Regression were studied and analyzed; algorithms of choosing point selection scheme were considered. The analysis of optimization results allowed us to determine which of these algorithms are most effective in terms of accuracy and computational time. The problem of impact on the vehicle’s bumper is solved in the paper, the optimization is based on the application of metamodel (RBF). The method provided a reduction of its mass by 16% while maintaining the initial parameters of crashworthiness.
Fabrication by Electrospinning Technique and Characterization of Curcuma Mangga Val Reinforced PVA Fibrous Membranes
Authors: Sosiati Harini , Rianto Muhammad Dirga , Nugroho Aris Widyo , Sudarisman
Published: May 2020

Antimicrobial and anti-diabetic of Curcuma mangga Val properties have attracted research interest. Curcuma mangga Val extract (CME) and poly (vinyl alcohol) (PVA) were blended and fabricated to the fibrous membranes by the electrospinning method. The effects of CME concentration on the fiber morphology and tensile properties of CME/PVA membranes are the goal of the current study. Scanning electron microscopy (SEM) of the membranes revealed bead-free fibers with straightly/continuously orientation formed in all CME/PVA membranes. The average fiber diameter increased from 186 nm to 297 nm, with the CME concentration from 0 to 3 wt.%, respectively. The addition of 1% CME resulted in a relatively high tensile strength of 24.96 ± 0.20 MPa, which is the highest among the CME/PVA membrane specimens. However, very high tensile modulus and low elongation showed in these results lead to reducing the functionality of the CME/PVA fibrous membrane due to the brittleness. The CME properties may contribute to those shortages.
Sub chronic diagnosis of administration with Scurrula atropurpurea to blood biochemichal analysis
Authors: Athiroh N , Purnomo Y , Mubarakati N J
Published: May 2020

This research is to evaluate whether Scurrula atropurpurea has a protective effect on the liver caused by its sub-chronic treatment. The rats consist of four groups: normotensive group and three groups administered methanolic extract of S. atropurpurea (MESA) at a dosage of 250; 500; and 1000 mg/kg BW. Serum liver and kidney function were assayed. Serum cholesterol was checked. Histopathology of the brain, liver, cardiac, lung, and kidney was identified using hematoxylin-eosin staining. The administration of MESA250, MESA500 and MESA1000 caused no differences among the groups compared with the control group. Structural evaluations on the brain and lungs showed that the MESA administration carried no changes. In liver and heart, MESA1000 led to repair tissue damage. But for the kidney, MESA250 was safe for the tissue. The results of this study revealed that the methanolic extract of S. atropurpurea at antihypertension dose is safe even when taken for a more extended period. At a higher dose, the extract may have the potential to increase some hematological indices but may induce tissue repair in the liver and heart. The lowest dose is safe for kidney tissue.
Measurement of 2.4 GHz Access Point Antenna
Authors: Firdaus  , Fatimah Afida Nurul , Yulindon  , Dewi Ratna
Published: May 2020

Antenna research on various wireless system applications has been carried out by many R & D telecommunications equipment vendors and academic. In academic researchs, antenna design are not tested on devices but are only based on the requirements and weaknesses of previous studies. In this study we developed an antenna for wireless LAN by first testing a conventional wireless antenna. based on knowledge of conventional antennas then we did a new antenna design. The antenna we tested was the antenna used on the TP LINK WA701ND access point device. In this paper we report the measurement results of the antenna. Measurements were made using antenna measuring devices at the State Polytechnic of Padang to obtain important antenna parameters including radiation pattern, polarization, and frequency response. The measurement results obtained the antenna is omnidirectional, linear polarization and 2.34 - 2.74 GHz frequency band with a center frequency of 2.43 GHz. The minimum return loss is -20.3 dB and the SWR is 1.14.
Mobile Applications For Gas Finding
Authors: Afyenni Rita , Idmayanti Rika , Refni  , Kirana Intan Pratama , Nova Fitri
Published: May 2020

Current conditions show that almost all Indonesian households use gas as fuel for cooking, but the availability of Liquid Petroleum Gas (LPG) is not proportional to the number of user needs. This condition makes it difficult for the community to get it. Sometimes they have to search directly to each gas station to get information about the availability of gas. Mobile applications for gas finding that have been made, help the community especially in Padang city to find a gas station that still has a stock of gas. This application is equipped with the name of the Gas Station and location map feature. This application can be accessed using an Android smartphone.
Implementation of Average Filter and Median Filter for OCR Pre Processing of Incoming Letters Image
Authors: Mahawan I Made Avendias , Darma Udayana I Putu Agus Eka
Published: May 2020

Letters are one of the tools to communicate through writing and are useful for conveying information. STMIK STIKOM Indonesia campus (called STIKI Indonesia) receives letters from other institutions reaching an average of 50 letters a month, an automatic system is needed that can help manage the incoming letters and can determine the purpose of the letter. OCR (Optical Character Recognition) is one of the ways that can be used to find a text contained in an image, but to get good results in the OCR process requires a pre-process in order to reduce noise in letter images, combining average filters and median filters be an option because it succeeded in reducing noise and smoothing the image of the organization’s stamp and signature that piled on the name of the sender of the letter. The results obtained from OCR after going through pre-processing are an array of words from letters. The accuracy achieved based on the date of the letter, letter number, subject of the letter and the sender of the letters from 50 test images reached 90%.
RETRACTED: Removal of nitrate from groundwater by column using pumice as adsorbent as an effort for water resources conservation
Authors: Helard Denny , Indah Shinta , Kiflia Dhea Pratiwi
Published: May 2020

As an effort for water resources conservation, a fixed-bed column was applied to remove nitrate from groundwater using pumice as adsorbent. The column performances were evaluated by varying the influent concentration (50 mg/L dan 80 mg/L) and influent flow rate (2 - 3 gpm/ft2 equal to 43–65 mL/min) with 85 cm of adsorbent bed depth. The results indicated that the increase in influent concentration increased the amount of nitrate and cause the earlier breakthrough time. Furthermore, the increase in influent flow rate caused the column exhaustion time to occur earlier resulted in the shortened lifespan of the column. The column system with a bed depth of 85 cm and flow rate of 2 gpm/ft2 (43 mL/min) for 80 mg/L of influent concentration showed the best nitrate uptake performance in this study with a total removal of 31.42% and adsorption capacity of 1.394 mg/g. The results revealed that the pumice in column has potential for nitrate removal from groundwater.
The Role of the Change Order on Time Performance in Construction Project
Authors: Susilowati Fajar , Temi Ariati Budi
Published: May 2020

This research was conducted to determine how the conditions change order and time performance on a construction project. The population in this study were employees of one project in Jakarta with a sample of 30 employees. Analysis of the data used in this research is descriptive analysis. The results obtained showed that the change order is including in the not good category with a percentage value of 49.79%. While the time performance included in the category is also not good with a percentage value of 42.67%. Based on the results of calculations in the regression analysis, the results show that change order has a positive effect on increasing the time of implementation of construction project work (time performance). The most dominant change order indicator influencing time performance is the lack of information when planning a project. Based on the calculation of the Pearson Product-Moment Correlation, the change order gives a strong relationship to time performance equal to 0.556. So we can be explaining that the change order affects the time performance equal to 30.9% and the rest influenced by other variables.
Double Seasonal ARIMA for Forecasting Electricity Demand of Kuaro Main Gate in East Kalimantan
Authors: Azka M , Wiradinata SA , Faisal M , Suhartono
Published: May 2020

This study uses intraday electricity load demand data from Kuaro Main Gate data in East Kalimantan as the basis of an empirical comparison of Double Seasonal ARIMA models for prediction up to a day ahead. For the purpose of this study, a one-year hourly Kuaro Main Gate data load demand from 1 January 2018 to December 2018 measured in Megawatt (MW) is used. In multiple times of load demand data, in addition to intraday and intra week cycles, and intra year seasonal cycle is also apparent. We extend the Double Seasonal ARIMA methods in order to accommodate the Intra year seasonal cycle. The mean absolute percentage error (MAPE) is used as the measure of forecasting accuracy. A notable feature of the time series is the presence of both an intraweek and an intraday seasonal cycle. We also propose that a Double Seasonal ARIMA model with the one-step-ahead forecast as the most appropriate model for forecasting the two-seasonal cycles Kuaro Main Gate data load demand time series. We use the Statistical Analysis System package to analyze the data. Using the least-squares method to estimate the coefficients in a Double Seasonal ARIMA model, followed by model validation and model selection criteria, we propose the ARIMA (1,1,1)(0,1,1)24(0,1,1)168 within-sample MAPE of 0.000992 as the best model for this study. Comparing the forecasting performances by using k-step ahead forecasts and one-step-ahead forecasts, we found that the MAPE for the one-step ahead out-sample forecasts from any horizon ranging from one week lead time to one month one week lead time are all less than 5%. Therefore we propose that a double seasonal ARIMA model with a one-step-ahead forecast must be considered in forecasting time series data with two seasonal cycles.
Improving Productivity and Quality of Medium Voltage Cable Production
Authors: Pratama A T , Saraswati T , Prianggara F , Savitri T
Published: May 2020

A cable manufacturer has produced varieties of products, such as low voltage cables, medium voltage cables, telephone cables, and fiber-optic cables. The main goal this company is to achieve ultimate customers satisfaction through timely delivery, consistency in product quality, and best service. The company faces a problem where daily production cannot reach 6, 000 meters/day as requested by management. Moreover, defects have been found in certain processes. A method of countering those problems is proposed by integrating OEE, SMED, and HFACS. Based on the analysis results, the OEE from insulation and screening machines are not meet the company target which is below 60%. In addition, visual defect shown as the most frequent type of defect that occurred in the medium voltage cable production process with 56%. SMED has been utilized to separate the internal task and external task, then the daily production can achieve 6, 165 meters/day by reducing the setup time based on the simulation result. In addition, HFACS has been used to analyze the main problem due to human factor aspects, then it is recommended to add extra operator, extra material handling for lifting/moving products, and a re-data checking procedure in the business process.
Determining optimum eco paving block compositions by using factorial design method
Authors: Purwandari A T , Ratnamirah A , Parwati N , Tanjung W N
Published: May 2020

Some plastic waste processing into economically valuable recycle products has been done. By using a plastic waste processing machine, a variety of products made from plastic waste can be made, one of which is a paving block that is commonly used as building material. This paving block is called as eco paving block to show the ecology side by using plastic waste as raw material. It has been produced with various compositions and type of plastics, but the optimal composition is not yet known to produce good quality. So, this experiments were carried out using the factorial design as one of the Design of Experiment (DOE) methods to determine the effect of type of plastics and compositions ratio to the eco paving block compressive strength and also it can be obtained optimal composition of the eco paving block. The result showed that the ratio of compositon is 2:3 of sand and plastic can produce optimum eco paving block based on compressive strength. This paving block has an average compressive strength 9.91 MPa. It can be classified into D quality classification that can be used for yards, parks, and others.
Production quality improvement of Yamalube Bottle with Six Sigma, FMEA, and Data Mining in PT. B
Authors: Fitriana Rina , Saragih Johnson , Larasati Dea Prameswari
Published: May 2020

PT. B is one of the manufacturing company engaged in the field of plastic packaging. One of the products produced by companies that bottle Yamalube to customer PT. Yamaha. Based on daily reports of production companies, found that the percentage of disability have an average of 14% per month in which the company standard is 5% per month. It is necessary for Six Sigma to improve the quality of the bottles with the steps Define-Measure-Analyse-Improve-Control (DMAIC). In the define phase diagram created SIPOC and Quality Plan Yamalube bottle production process. In the measure phase created Sigma level. At this stage the known value of 0.16 DPU, DPMO of 250, 000 and the results showed that the conversion DPMO sigma level Yamalube bottle production process is equal to 2.17. In the analyze phase using a decision tree is known that bottles attributes that influence the decision of rejection is the position of the label, the number of labels, colours and perforated. By using FMEA method is known that improvements will be prioritized on the label of disability are not two sides to the root cause of the wear rubber. Repairs carried out by making the inspection SOP rubber, checksheet and proposals in the form of anti-static vacuum tool.
Design of Multicriteria Decision Making Tools for IT Project Selection: A Case from Software House
Authors: Soesanto R P , Tripiawan W , Darmawan I
Published: May 2020

Information Technology as an enabler helps organization to improve business by gaining more competitive advantage, it plays a significant role for organization to compete. Many organizations sense the pressure to leverage their investment towards information system. Selecting the optimal portfolio of IT projects is becoming increasingly important as the dependency on IT for organizational performance increases. The purpose of this research is to design tools for IT project selection tools in the software house. Combination of Delphi, AHP, and Factor rating method is used to gain the prioritize of the projects. Agile method is used to develop the application. The application is built in web platform to help the organization decision. Future research can be done to consider more variables for choosing the right project for the organization.
Quality Control Analysis of Tube SandwichUsing Six Sigma Method in PTXYZ
Authors: Sundari A S , Setyawati E P , Rimantho D
Published: May 2020

Quality is one of the key aspects in every production activity. This research aims to improve the quality of the product on tubing machines used Six Sigma method with DMAI phases. At phase of define, the problem is found attubing machines with defects glue, printing, improper size and paper extension. In the measure phase, DPMO value is 3691 and sigma value is 4, 18. In the analyzephase, the most dominant problem type of defects are glue and printing, will be analyzed according to machine, material and method factors. In the improve phase, the cause of problem will be sorted from the highest to the lowest uses FMEA method. Causes of glue problems are paper rolls are from many suppliers, the extruder needs time to be stable, the age of machine is old, piece of paper tucked in the knife bearing and not optimal material handling. The priority order of printing problems is not optimal material handling, piece of paper tucked in the knife bearing, the paper stuck in the printing unit, and ink are from several suppliers. Proposed improvements with 5W1H can be given according the order of root problems from the largest to the smallest.
Evaluation of Effectiveness and Cost of Machine Losses using Overall Equipment Effectiveness (OEE) and Overall Equipment Cost Loss (OECL) Methods, a case study on Toshiba CNC Machine
Authors: Dewi Sarastya , Alhilman Judi , Tatas Dwi Atmaji Fransiskus
Published: May 2020

In a manufacturing company, the machine is one of the most important elements in their production process because machine failure can stop the production process. Therefore, the initial step to minimizing losses caused by machine failure can be done by evaluating the machine condition. Evaluation of machine performance is carried out by measuring the effectiveness of the machine with the Overall Equipment Effectiveness (OEE) method. Based on the calculation result, the OEE value of the machine is 68.63% and this value still under the Japanese Institute of Plant Maintenance standard. Six big losses analysis is performed to determine the biggest loss that affects the effectiveness of the machine. The result of six big losses calculation shows that the most influential factor for the low OEE value of the machine is Reduced Speed Loss (39.12%). Causal analysis with a fishbone diagram is done to find out the causes of the highly reduced speed loss. To calculate the equipment cost loss use the Overall Equipment Cost Loss (OECL) methods. The total of the overall equipment cost loss is IDR 849, 839, 947.53.
Designing Templates to Support and Monitoring the Activities of Material Requipment Planning (MRP)
Authors: Hendra Franka , Ambarita R , Eko Putranto K , Supriyono
Published: May 2020

The main purpose of this paper is to design a template based on Excel as a support and monitor the operation of the MRP system, as well as optimize inventory value.

The methodology done by identifying the MRP Objective targets that exist in the company and the raw material planning system process flow and comparing the achievement of the company’s MRP objects with the results of calculations using templates.

The results of comparison between the achievements of 2015 and 2016, then it can be concluded that the Excel template can be used to help the SAP system to delete junk data (fake) due toindiscipline user in inputting data can provide better performance. From the comparism result with using Template Excel company can achieve CSL > 95%, CSL Infull > 95% and Warehourse Inventory Value reduce until less than IDR 300 billion.
Using the Bees Algorithm to solve combinatorial optimisation problems for TSPLIB
Authors: Ismail A H , Hartono N , Zeybek S , Pham D T
Published: May 2020

The Bees Algorithm (BA) is a metaheuristic algorithm to find good solutions to optimisation problems in reasonable computing times. This paper is the first to report on the use of the BA to solve 9 combinatorial optimisation problems (COP) with more than 100 cities from TSPLIB rigorously to test the performance of the algorithm. The work employed a basic version of the BA for COP and TSPLIB datasets involving between 100 and 200 cities. The results obtained show that deviations from the best-found tour lengths for the datasets with 100 cities and 200 cities were approximately 2.5% and 7.5%. The reason for this jump in deviations was that the number of iterations was kept constant for all experiments while the solution space increased factorially with the number of cities. This research can be replicated and modified through Google Colab.
Performance Evaluation of an EWMA p Chart Based on Improved Square Root Transformation to detect Small Shift Process Variation
Authors: Arumsari  , Rifqi J N
Published: May 2020

A control chart was used to detect whether the unexpected variation due to special causes was happening. Generally, Shewhart control chart was used, while this chart was not a good one to control the process with small variation. EWMA p chart was one of the alternatives used to monitor small shifts in the process mean. Traditionally, attribute Shewhart p chart has been developed for charting the binomial data or using the normal approximation when percent defective was low and sample size was small. In 100% inspection, these assumptions were not valid. For this reason, EWMA p control chart was modified by improving square root transformation. In this research, the implementation of the modified EWMA p control chart based on Improved square root transformation (ISRT p EWMA chart) was studied. This chart was used to monitor the actual production process where the process has shifted. The research found that. The ISRT p EWMA chart detects the shift twice, while Shewhart p chart does not detect any shift. The research also found that at λ = 0.25, the shift is detected 2 times, at λ = 0.5, the shift is detected once while at λ = 0.75, no shift is detected. The larger the value of the λ parameter, the worse the ISRT p EWMA control chart performed.
Warehouse Improvement Evaluation using Lean Warehousing Approach and Linear Programming
Authors: Prasetyawan Y. , Ibrahim N. G.
Published: May 2020

Lean manufacturing tools have been applied for several years to improve company’s internal logistic. Furthermore, a lot of factors such as globalization, competition and shorter life-cycle product force companies to create production process more efficient and cheaper. The acceptance of lean philosophy in the company means not only respecting the lean principles in the manufacturing area, but also in all the process that performed inside the company. The implementation of lean principles in the warehouse area is a certain step of improvement warehouse process and performance, but also the whole company. However, the implementation of lean principles in warehouse area is relatively new subject in logistics. Most of the research that has been done before only focused on eliminate waste and didn’t count the cost that can be saved after lean implementation. This paper’s objective is to identify waste that might be able to appear in warehousing process using value stream mapping. After the waste successfully identified, the next step is doing improvement using lean tool and count the implementation cost using linear programming. The result of this paper is choose which tool that make lower implementation cost and higher time reduction
Forecasting for Steel Production using Artificial Neural Networks and Feasibility Analysis of Plant Regeneration Acid Development in PT. XYZ
Authors: Sasongko A , Marie I A , Arifin F
Published: May 2020

PT. XYZ is a steel production industry company. The Acid Regeneration Plant (ARP) facility has now shown a decrease in plant availability. This study aims to determine steel demand forecasting and also conduct a feasibility study for the development and replacement of ARP technology. Artificial Neural Networks, Linear Regression and Decomposition are used for forecasting experiments. The choice of forecasting method is taken by looking at the smallest MAPE value of each method. Artificial Neural Networks have the smallest MAPE value of 2.58. Then the Artificial Neural Network is used in forecasting requests for 2019 to 2020. The chosen network architecture is 24-12-1 with the traingdx training function. The results obtained are an increase in demand for steel products from 2019 to 2020. The increase in demand is 1, 329, 398 tons, an increase of 4.59% from the previous 2 years. Then a feasibility study is conducted to assess the construction of new ARP facilities. The feasibility study covers technology selection and investment appraisal. After making a comparison, the technology used is Spray Roaster. Based on the results of the investment appraisal using the NPV, IRR PBP, the new ARP development investment is decent and can meet future steel demand in the period until 2020.
Designing Information System for Student Practicum Assessment in the Laboratory
Authors: Arif Nurrahman Ahmad , Pizary Husen Novan , Rukmana Otong
Published: May 2020

Practicum assessment process at the Laboratory in some university still uses conventional methods ranging from processing practicum value data to presenting assessment information. This certainly can cause various problems that can hamper activities and services in the laboratory. One of the efforts that can be done to improve the practicum assessment process is by designing a practicum assessment information system. The purpose of designing a practicum assessment information system is to identify the information system of current practicum assessments, analyze information system needs, design and build a practicum assessment information system in the Information Systems and Decision Laboratory. The method used in the design of information systems is the Framework for the Application of Systems Thinking (FAST) with the Model Driven Development Strategy model. The FAST method consists of several stages ranging from scope definition, problem analysis, requirements analysis, logical design, decision analysis, physical design, development and testing, implementation and delivery, system operation and maintenance. The design of the proposed improvement of the practicum assessment system in the process block using Data Flow Diagrams (DFD) to get the architecture processes in the practicum assessment system application. The data block uses the Entity Relationship Diagram to design a practicum assessment database system. The communication block uses the Use-Case Diagram design model to get the interface design from the practicum assessment system. The construction of a practicum assessment information system is carried out using XAMPP tools to access the Apache server and the MySQL database and Sublime Text is used to build application interfaces using HTML and PHP programming languages. So that the results of designing the information system for practicum assessment using information technology can be obtained which can be a medium for processing and presenting practical values in the laboratory, which are easily accessible to users and improve aspects of the PIECES framework including performance, information, economy, control, efficiency and service.
Designing a Device for Measuring Human Reaction Time
Authors: Rudolf DI , Triyanti V
Published: May 2020

Human reaction time is the time needed for someone to take action shortly after the person receives information. Not many measuring devices that can measure the time or speed of human reactions in detail, which are regarding the cognitive (thinking) and the motoric (action) aspects. Therefore, this research aims to design a reaction time measuring device for a simple activity. The device should calculate the speed of human reactions from the cognitive and motoric aspects. A series of product development phases was conducted, i.e user requirements identification, concept development, embodiment design, construction, and testing. As a result, the selected concept used stimulus from light to measure reaction time, considering the difference of light color, flash rate, and intensity. A series of trials proved that those characteristics could be used to measure and distinguish reaction time (p-value < 0.05), considering cognitive and motoric time. The device was also proven can differ reaction time normal and fatigue condition.
Integrated ISM-ANP Method for Supplier Selection Criteria Analysis: A Case Study of Construction Company
Authors: Natalia C , Oktavia C W , Tjhong S G , Hidayat T P
Published: May 2020

Supplier is one of the most important parts in supply chain. Supplier ensures the availability of materials for company’s continuity. Supplier selection using several criteria is needed to get a reliable supplier. Therefore, selecting key criteria for supplier selection is essential. This study discussed the relationships between criteria to obtain supplier selection key criteria in a construction company with interpretive structural modeling (ISM) and selecting supplier with analytic network process (ANP). Data used in this study are initial criteria, the relationships between criteria, the grouping of criteria, and pairwise comparison are obtained from interviews and questionnaires. Using ISM method, 19 key criteria are identified, such as availability and integrity. The best supplier based on key criteria is obtained from ANP method. The result of integrated ISM and ANP method shows that the key criterion with the highest weight is availability, and supplier 1 is the best supplier based on key criteria. Availability refers to the availability of materials in supplier, and this key criterion is considered as very important thus having spare suppliers must be considered.
Mitigation of Supply Chain Risk using HOR Model at PT. Sumber Karya Indah
Authors: Ahmad  , Kosasih Wilson , Kristina H J , Widodo Lamto , Pasaribu Kristina
Published: May 2020

In supply chain activities has always been a potential risk arising, therefore risk management is very necessary for the handling of risk. In the company that produces women handbags such as PT. Sumber Karya Indah, in its supply chain activities, has the opportunity to arise risk. Therefore, it is necessary to do risk analysis and design of mitigation action, to reduce the risk of interference that is likely to arise in its the supply chain. The research was conducted using a house of risk model consisting of 2 phases. The first phase is risk identification and risk agent, which is then done a measurement of severity and occurrence level as well as a calculation of aggregate risk priority (ARP) value. The second phase is risk mitigation planning. Data retrieval methods are performed by interviews, observations, and historical data as supporting data. After the research has been obtained results that there are 28 risk events and 32 risk agents. There is 7 mitigation action that can be used and expected to mitigate risk in its supply chain. The result is the House of Risk Assessments Management Template using VBA Macro Excel.