bluuebunny/crossref_metadata_2025_split huggingface dataset:
Product Segmentation of Wooden Handicraft Micro, Small and Medium Enterprises (MSMEs) in Indonesia
Authors: Christine M G F , Dachyar M , Nurcahyo R 
Published: September 2019

Abstract
The intense competition between wooden handicraft Micro, Small and Medium Enterprises (MSMEs) in Indonesia has encouraged business owners to generate creative innovation in order to maintain the sustainability of the company. This study aims to develop the new product development strategy based on the product segment characteristics from wooden handicraft MSMEs in the Special Region of Yogyakarta, Indonesia. The segmentation of products was done by applying the combination of K-Means Algorithm and Frequency, Monetary, Customer Variety (FMC) variables to the customer transaction data. The results showed five different types of product sales characteristics in three wooden handicraft MSMEs. It will encourage business owners to gain valuable insights about useful product sales characteristics for building business strategies to face increasingly fierce competition in this era.
Supplier Selection Model Based on Risk in an Indonesian Healthcare Service Industry
Authors: Indrawati S , ‘Azzam A , Cahaya H I 
Published: September 2019

Abstract
In Indonesia, healthcare services are a priority industry sector. In the last few periods, every health care provider began to evaluate and make a performance improvement of the entire supply chain. Supplier selection is one of supply chain business process that have some risks. Therefore, this research is conducted to identify and reduce various risks in supplier selection process. The method used is Fuzzy Failure Mode and Effect Analysis (FFMEA) with three main stages, i.e. fuzification, rule evaluation and difuzification. The result show that there are four criteria, i.e. price, communication, quality and delivery time used for supplier selection in an Indonesian healthcare industry. Each criterion has some supplier performance risks with a total of 10 failure modes. The integration of risk factors in supplier selection model have been successfully done with one best suppliers based on the lowest risk score.
Comprehensive Framework of E-commerce Adoption in Indonesian SMEs
Authors: Hayati I , Andrawina L 
Published: September 2019

Abstract
The use of Internet has been growing rapidly in the last decade. One of the popular uses of Internet is e-commerce which gives changes in the market and forces companies to adapt to survive, including small-medium enterprises (SMEs). As one of developing country, e-commerce adoption among Indonesian SMEs is still low with only 8\% of SMEs has adopted e-commerce. Despite many researches regarding e-commerce adoption, the topic still needs a comprehensive study on internal and external factors affecting e-commerce adoption. This study aims to fill these gaps by developing a comprehensive framework on e-commerce adoption among Indonesian SMEs. The originality of this study resides in managerial demography and company’s knowledge management as additional factors to the model proposed by previous studies. This study concludes four external dimensions and five internal dimensions affecting e-commerce adoption. The external dimensions are institutional environment, economic environment, socio-cultural environment and technology environment. While the internal dimensions consist of managerial demography, company’s size, company’s capabilities, corporate strategy and company’s knowledge management.
An Analysis of Variables Affecting the Implementation of Patient Safety in Budi Sehat Hospital Purworejo using Partial Least Square
Authors: Buwono R I , Suhardi B , Pujiyanto E 
Published: September 2019

Abstract
Budi Sehat Hospital Purworejo is a healthcare facility whose status recently changed from general inpatient clinic. During the process of this status change, the hospital faced several obstacles related to patient safety. Near-miss cases include wrong diet for a patient, a near case of injection mix-up, wrong drug administration, wrong drug dose, a prescription error and one adverse event case of phlebitis. This study aims to minimize patient safety incidents by identifying variables that affect the implementation of patient safety in Budi Sehat Hospital Purworejo. Variables used in this study include teamwork climate (X1), safety climate (X2), job satisfaction (X3), stress recognition(X4), perceptions of management(X5), working conditions(X6), motivation (X7), supervision (X8), leadership style(X9), communication (X10), turnover intention(X11) and frequency of patient safety events reported (Y1). The method used in this study was the Partial Least Square (PLS). Results showed that the most influential variable was working conditions (X6) with p-value of 0,01 and R-squared of 0,393.
Analysis of Changing Working Patterns on an Overhaul Activity in a Power Plant Industry using Lean Manufacturing Concept
Authors: Fattah A A , Sudiarno A 
Published: September 2019

Abstract
East Region Maintenance Service Unit (UPHT) has three main targets to implement maintenance activities, namely on quality, on cost, and on time. These three targets are a form of UPHT commitment in maintaining customer confidence on work result. PT PJB (Bali Java Generation) wants UPHT to optimize the duration of overhaul time. The possible strategy could be applied consists of detailing working breakdown structure (WBS), working in two shifts, roll in - roll out spare parts, and the establishment of a competent quality control team. In this research, value added, non-value added, necessary non-value added, and workload activities were analyzed to optimize quality, duration, profit and minimize budget on project management overhaul gas turbine units. The instrument used in this study were Yamazumi Chart and NASA-Task Load Index (NASA-TLX). The results showed the percentage of value added activity was 38%, necessary non-value added was 51% and non-value added was 11% of the total overhaul. There is the potential to shorten the duration of the major overhaul changes in work schedules from those originally scheduled for 32 days, to only 18 days by using the two-shift pattern. The profit earned from shortening the duration of the overhaul is IDR 2,500,975,763.74.
Health State Indicator-Based Vibration Signature for Gearbox Condition Monitoring and Maintenance
Authors: Widodo A , Satrijo Dj , Prahasto T , Haryanto I 
Published: September 2019

Abstract
Gearbox is a device used to transmit the power of rotating machinery from the prime mover to the equipment with or without change in rotational speed. The working condition of gearbox is usually experienced in heavy load, suffering high friction when contacted with pinion and running in high speed rotation. Therefore, the condition of gearbox must be reliable to ensure the functional operation. The present study deals with development of health state indicator derived from vibration signature for gearbox condition monitoring and maintenance. Vibration technique is still the best way to machine condition monitoring including gearbox. However, wear detection of gearbox is still under study due to the difficulties of capturing best signature of wear by means of vibration signal. In this study, health state indicator is proposed based on vibration signature to monitor wear progress in gearbox thru averaged and moving-averaged logarithmic ratio from filtered vibration signal. The results show that averaged logarithmic ratio is increased as well as the increasing of wear based on experimental work. Moving-averaged logarithmic ratio is also investigated in present work and both method has potential to be indicators for wear monitoring and detection.
Productivity Evaluation Through American Productivity Center Approach at PT Sejahtera Furnindo
Authors: Ahmudi  , Mahachandra M , Handayani N U 
Published: September 2019

Abstract
PT Sejahtera Furnindo, a well-established export furniture company in Central Java, currently only considering the profit level to study its performance. With this approach, company usually pays only a little attention to its resources usage efficiency, that makes it requires a large cost to carry out company activities. For finding a more comprehensive approach, this research offers an evaluation of company productivity measurement using American Productivity Approach (APC). Results of this study showed that total factor productivity during the measurement periods indicate a positive growth level. This illustrates its success in managing labor input and collective capital owned. However, the total productivity revealed a changing level of growth, which illustrated that company had not been able to manage the overall input successfully during the measurement periods. Efforts are needed to increase the profitability for the coming period, along with efforts to increase productivity that focus on increasing material productivity and capital productivity as input factors that were also significantly influenced its profitability.
Traffic Accident Severity Prediction Using Naive Bayes Algorithm - A Case Study of Semarang Toll Road
Authors: Budiawan W , Saptadi S , Sriyanto  , Tjioe C , Phommachak T 
Published: September 2019

Abstract
A traffic accident was one of the leading cause of death in Indonesia. Toll Road is one of the places where traffic accidents occur. In 2007-2017 there were 501 accidents at Semarang Toll Road. Accident in Semarang Toll Road has a variety of severity. The most severe case is death. A traffic accident can lead to death. One of the ways to decrease the number of the accident was decreased the severity of the accident. This achieved by making a prediction model. The prediction model can predict the severity of the accident based on the attribute affecting the severity of the accident. In this research, Days, Type of Road, Weather, Condition of Road, Time of the accident, Sex of Driver, and Type of Vehicle were chosen as attributes to make prediction model of accident severity. Naive Bayes algorithm was used to make the model which can predict accident severity. The result was an accident prediction model with an accuracy of 39.49% to predict accident severity and the probability of an accident.
Descriptive Relationship Analysis Between the Program for Pollution Control Evaluation and Rating (PROPER) and ISO 14001
Authors: Nurkhaeriyah F R , Nurcahyo R , Dachyar M 
Published: September 2019

Abstract
In the last decade, the program for pollution control evaluation and rating (PROPER) in environmental management and ISO 14001 has been used by companies to reduce industrial pollution in Indonesia. Both programs are important for companies to handle environmental problems. ISO 14001 certified company will get pressure to develop their environmental performance systems in measuring and evaluating the effectiveness of programs related to environmental management. PROPER may be effective for ISO 14001 certified companies to reduce industrial pollution and be used to measure the company’s environmental performance. This study aims to investigate the relationship between PROPER and ISO 14001 in controlling, managing and monitoring the environment. Descriptive analysis method is used in this study. The results of this study indicate that there is a relationship between ISO 14001 and PROPER, where the implementation of ISO 14001 helps or effectively for companies to get a better PROPER award and PROPER can be used as an environmental performance to measure the effectiveness of ISO 14001.
Location Selection Analysis for New Shipyard Using Integration of DEMATEL and ANP: A Case Study (PT IKI)
Authors: Sukisno  , Singgih M L 
Published: September 2019

Abstract
A shipyard is a manufacturing industry that has a capital-intensive character with very high investment value to build the production facilities, requiring serious planning, handling, and management to survive and grow as a healthy industry. PT IKI headquartered in Makassar is planning to expand its business to one of three alternate areas (Ambon, Sorong, and Timika). Determining the location of the new shipyard from existing alternatives need to be done carefully using advance method due to the complexity of the factors and the interrelationship between factors, by first identifying factors that influence (dispatcher) and are influenced (receiver) in selecting shipyard locations and identifying their respective weights factors, will result in the selection of the most strategic location with comprehensive consideration. The influencing factors (dispatchers) and influenced (receivers) in the selection of shipyard locations were obtained by the DEMATEL method, the weight of each factor was analyzed using the DANP method with the results of raw material costs being a priority factor with scores value 13.73%, then the from AHP method obtained the most strategic alternative location is Ambon as the location of the new shipyard with a score value of 40.94%.
Modified Double Sampling Control Chart for Monitoring The Coefficient of Variation
Authors: Rozi F , Pasaribu U S , Mukhaiyar U , Irianto D 
Published: September 2019

Abstract
Monitoring the coefficient of variation (CV) has received wide attention in quality control, mainly used when the process mean and standard deviation are not constant. This work proposes a modified Double Sampling (DS) chart for monitoring the CV, denoted DS-G chart, in order to improve the sensitivity of previous DS chart for monitoring the CV, denoted DS-γ chart. Some numerical results for statistical properties of the proposed chart and performance comparisons are provided in the form of tables. Based on the average number of observation to signal (ANOS) performance, the proposed DS-G chart outperforms the DS-γ chart.
Critical Success Factors Evaluation of the ISO 50001 Energy Management System Implementation (Case study: PT. APAC INTI CORPORA, Bawen, Semarang Indonesia)
Authors: Purwanggono B , Ferastra K , Bachtiar A 
Published: September 2019

Abstract
Rapid growth makes the industrial sectors contribute as a significant greenhouse gasses producer. According to the Indonesian Ministry of Industry data, the industrial sectors dominate energy consumption with a share of 49.4% of total national energy consumption. These energy needs tend to increase along with economic growth and global population rise. Based on this problem, development of standards related to energy management system is needed for the industrial sector. PT. APAC INTI CORPORA (AIC) is a textile company, located in Bawen, Semarang Indonesia. PT. AIC has implemented ISO 50001 since 2014 as an energy management system to improve the company’s service quality and financial benefit. In this study, Critical Success Factors from the application of ISO 50001 at PT. AIC will be evaluated to assist companies in implementing a more optimal energy management system. A critical success factor is an area in the form of indicators that identify the success of an organization’s performance. Data processing resulted in 8 improvement strategy points based on importance weights (AHP Method) and performance values (Performance Rating) for each subfactor. Through the Delphi method, the improvement strategies is adjusted to the company’s conditions and reduced to 6 strategy points.
Loyalty Improvement of Indonesian Local Brand Fashion Customer Based on Customer Lifetime Value (CLV) Segmentation
Authors: Dachyar M , Esperanca F M , Nurcahyo R 
Published: September 2019

Abstract
There has been a significant growth of internet users over the past decade in Indonesia. The growth of internet users is followed by the growth of digital buyers. Most digital buyers in Indonesia make some transactions to purchase clothing which explains the phenomenon of e-commerce fashion growth. This study aims to identify the loyalty level of an electronic customer based on Customer Lifetime Value (CLV) of the customer segmentation and design the CLV improvement. Customer segmentation performed using the K-means algorithm and RFM analysis. This paper used 3 transaction datasets from 3 different local brand fashion e-commerce in Indonesia. This study found five customer segmentations according to CLV ratings as the best, valuable, potentially valuable, average, and potentially invaluable customer. Maintaining customer convenience while doing the transaction and improving service quality and customer trust are the keys to retaining potentially valuable, average, and potentially invaluable customers
A Simulation-Based Approach to Assess Eco-Process Innovation Performance
Authors: Dahan S M , Yusof S M 
Published: September 2019

Abstract
In the recent decade, eco-process innovation practice has been prioritised over other green strategies to help manufacturing firm becoming more sustainable. This paper evaluates the improvement in production cycle time as an outcome of the eco-process innovation, using the actual data of a manufacturing facility. Discrete event simulation approach was adopted to model and simulate the cycle time of previous state and current state of an eco-innovated production line. Result of cycle time per entity revealed a 6% reduction, thus proving that implementation of eco-process innovation could improve the economic performance of manufacturing firm. The study is a small part of a larger research work of which the authors are developing indicators for measuring eco-process innovation performance at firm level.
Changes in Layout and Handling Method for Raw Materials to Reduce Put Away and Picking Time: A Plastic Packaging Manufacturer Case Study
Authors: Parameswari Z , Pujawan I N 
Published: September 2019

Abstract
This research was conducted at a plastic packaging manufacturer, where the company is required to be able to respond to customer demand from the aspect of raw materials storing process. However, the existing the warehouse is not clear. Improvement plan to reduce the put away and picking time in the raw material warehouse were conducted by changing the layout and handling method. Layout change was designed based on raw material selectivity and consumption rate with two improvement scenarios. Scenario I was designed by ignoring the area for the PET group, while scenario II was designed by determining the area for the PET group. The handling method which was originally using porters was changed to using a forklift. In the put away process, the layout change by determining the area for the PET group could decrease the travel distance of 6.96%, and the handling method change could decrease the travel time of 79.34% and total put away time of 68.84%. In the picking process, layout change by ignoring the area for the PET group could decrease in travel distance of 1.81%, and handling method change could decrease in travel time by 86.92% and total picking time of 65.86%. Based on these results, the handling method change could give better result on the decrease of put away and picking time than the layout change. By implementing this recommendation, the company could save their operational cost by the estimation of 24.03%.
Power loss estimation of polymeric housing surge arrester using leakage current and temperature approach
Authors: Novizon  , Malek Z A , Ahmad M H , Waldi E P , Aulia  , Laksono H D , Riska N 
Published: September 2019

Abstract
The good operation of metal oxide surge arresters depends on the increment of temperature. If the arresters cannot quickly disperse the absorbed energy into the ambient, arresters temperature may exceed its operating temperature limit. Consequently, thermal runaway occurs and results in power loss. In this paper, thermal characteristics and thermal stability based on power loss calculation were investigated. Applied voltages, leakage current, and temperature were the main parameters consideration. The power loss calculated by the electrical model is the input to the thermal model. The electro-thermal model is used to determine the two intersection points (stable operating point and the thermal instability point) of the power input and heat loss curves. The results show that irrespective of the different magnitude voltages applied to the arrester and different energy ratings for the elements, the power loss occurs at the certain applied voltage.
PWM speed control of dc permanent magnet motor using a PIC18F4550 microcontroller
Authors: Fatma M W , Hamid M I 
Published: September 2019

Abstract
The purpose of this design is to study the advantages of controlling the DC motor speed by adjusting the permanent magnet of DC motors. This had been done by applying the PWM method with relay using PIC18F4550 micro-controller. The output signal from each controllers were compared with the control system and describe the output value and data related to the system. The result shows that the PWM method was able to maintain the motor speed better than the continuous voltage method.
Partial discharge characteristics of nanosilica biopolymer under AC voltage
Authors: Aulia  , Waldi E P , Darwison  , Anggaravidya M , Novizon  , Setiawan M H , Nugraha Y , Abdurrahman  , Hafizi M A , Jambak I 
Published: September 2019

Abstract
The dielectric properties of LDPE-NR biopolymeric insulating materials can be improved by adding the silica nanoparticles in a certain percentage of weight into the composite. In the present study, four types of bionanopolymeric samples were prepared. To each sample, the nanosilica particles with a weight percentage of 1.5%, 3%, 4.5% and 6% a were added. To see the electrical characteristics, the four samples were placed under the AC high voltage for 1 hour and the partial discharge (PD) signals were recorded continouesly in that period of time. The results show that the number of positive and negative PD pulses for each silica sample after 60 minutes of testing was not the same for all samples. The that samples with a higher percentage of nano silica had fewer PD pulses. This indicates that nanosilica particles can improve the PD resistance of LDPE-NR insulation materials.
Analysis of the unbalanced harmonic propagation in a three-phase power system using a parallel program
Authors: Yunus S , Dinata U G S , Nazir R , Aulia  
Published: September 2019

Abstract
Operation of non-linear in an unbalance condition can cause harmonic problems in the power system. There are two parts in the use of computing time in harmonic load flow, the first in the construction of harmonic admittance matrix and the second is the iteration scheme for solving systems of linear equations. The solution technique of the harmonic admittance was developed as a parallel application, and a direct algorithm to calculate the admittance matrix elements. The three-phase power flow program is devided into three independent subproblems, namely: positive, negative, and zero sequence network. Positive sequence network had been been solved by using the Newton Raphson method without modifying their formulation. Negative and zero sequence networks had been solved using nodal voltage equation. All three sequence networks have been modeled by three independent circuits and solved simultaneously using multi-core processors in parallel programming. The results showed that the parallel three-phase load flow speed is higher than the sequential.