bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determination of Inventory Policy based on ABC Classification
Authors: Rizkya I , Sari R M , Erwin  , Sari R F 
Published: May 2020

Abstract
Inventory control is very necessary to prevent supply shortages. The right policy in managing inventory will reduce inventory costs. The type of inventory classification is needed to carry out appropriate handling in managing inventory in both the manufacturing and service industries. Drug inventory classification is done by ABC analysis to manage inventory so that no stock out occurs. ABC analysis tends to profit oriented product because it is based on the funds needed from each type of supply. From the results of data processing analysis, in category A (Always) were 46 types (10,8%) with the annual investment of drugs 70,39%, category B (Better) as many as 74 types (17,3%) with the annual investment is 19,99%, and category C (Control) as many as 307 types (71,9%) with of the total annual investment is 9,61%.
Management Support in Enhancing Participatory Ergonomic Interventions in Palm Oil Industry
Authors: Anizar  , Matondang AR , Ismail R , Nazaruddin  
Published: May 2020

Abstract
This study is conducted in a palm oil industry in North Sumatera. The palm oil industry, which has great potential to end poverty, is usually performed by manual workers in such a way that it may cause musculoskeletal disorders. This is a challenge for future palm oil industry’s continuity. Participatory ergonomic intervention is one way to reduce this risk and needs management support for its success in implementation. A questionnaire is then spread to find the most influential type of management support that may promote active participation from workers. The recapitulation of the questionnaire shows that “being involved” as the highest score, followed by work authority and management commitment. Workers’ participation in ergonomic program implementation can only be realized if the management is committed.
Electronic Snellen Chart with Bluetooth Connection and Smartphone App
Authors: Fajrin H R , Adnan R N , Irfan M , Sari I P 
Published: May 2020

Abstract
Snellen chart is a tool to measure a person’s visual acuity consisting of a series of black capitalized letters on a whiteboard arranged in rows. Snellen charts commonly used in many hospitals today are still in the form of posters, which are inefficient because to show the letters on the Snellen board, we still have to input it manually. Therefore, an electronic Snellen chart tool, which is considered to be more efficient and practical is made. The control device is an application on a cellphone connected via Bluetooth by utilizing LED as lighting while showing letters on the Snellen chart. It will facilitate ophthalmologists to perform examinations, and also show the letters by pressing a button on the cellphone so that they can install a trial lens without having to return to the Snellen board to indicate the letters. The testing method used in this study tested the Bluetooth connection and the tool’s performance with seven questions on a questionnaire testing method to determine the eligibility of the instrument. The feasibility test results by using a questionnaire show that it has 82.8% feasibility percentage with 0.9 validity rate and 0.87 reliability; moreover, the results of 20 trials of Bluetooth connection testing have a 100% success rate. The questionnaire results showed that the tool is eligible and proper to use because the installation of the application is easy to do.
Human Reliability Assessment Analysis with Human Error Assessment and Reduction Technique (HEART) Method on Sterilizer Station at XYZ Company
Authors: Hasibuan Chalis Fajri , Yudi Daeng P , Hasibuan Reza Rinaldi 
Published: May 2020

Abstract
The matter of human reliability is a subject that has great influence on work-related accident levels or productivity levels of a product. Work-related accidents at XYZ company has 3 types of accidents that occur at boiling station and most of it are caused by human error from work operators, such as boiling overtime, lorry that went off track, inputting inaccurate boiling pressure standards, low discipline levels, not using protection equipment. XYZ company is one of many companies that processes palm oil. Human Reliability Assessment is done using HEART (Human Error Assessment and Reduction Technique) method. At first, an analysis is done on work operator’s tasks by organizing HTA (Hierarchical Task Analysis). The resultant description of tasks at boiling station reveal that there is 11 tasks being handled by operator. Based on the calculation, the value of HEP (Human Error Probability) is highest on setting boiling time task with the value of 0,5324. The second highest is 0,5251 on setting steam pressure task. Researcher has analysed which task with the highest HEP value using Fishbone diagram, and continues to compile prevention methods for human error based from EPC, HEP, and Fishbone diagram.
Analysis of slope stability by the planning of cantilever retaining wall reinforcement using the application of Plaxis (case study: substation Panyabungan sta 0+060)
Authors: Hastuty Ika Puji , Prambudi Rizky 
Published: May 2020

Abstract
Slope is a natural surface appearance that has height differences. Slope stability is very closely related to landslide or ground movement which is a natural process of soil mass displacement from higher ground to lower ground. Unstable slopes are very dangerous to the surroundings; therefore, an analysis of slope stability is highly needed. In this research, Plaxis are used to planning cantilever retaining wall reinforcement with the aim to determine the safety factor value of the slope condition before and after was given reinforcement. Slope stability was analyzed in three conditions: the original condition before reinforcement, the condition with the planning of cantilever retaining wall reinforcement. The safety factor value in the slope condition with cantilever retaining wall reinforcement was 1,567 > 1,3 (Safe). Deformation value was 453,280 × 10-3 m. Cantilever retaining wall safety factor against gulling was 2,528 > 2 (Safe). Safety factor against shear was 2,683 >1,5 (Safe). Safety factor against bearing capacity was 3,704 > 3 (Safe).
Slope stability analysis using sheet pile reinforcement with the Bishop method
Authors: Hastuty Ika Puji , Roesyanto  , Suwandi Ayuditha Maulidza 
Published: May 2020

Abstract
Slope is a sloping ground surface, and forms a certain angle to a horizontal plane and is unprotected. With non-horizontal soil conditions, a component of gravity will tend to move the ground down, so that landslides cannot longer be avoided. The location of this research is located at 150 KV substation, Payabungan. The selection of sheet piles as an alternative treatment is expected to minimize the occurrence of landslides at the substation, where if there is landslide at that location will have an impact on the power outages that will disrupt the activities of residents around. This research was conducted with Bishop’s analytical method, aiming to determine the safety factor of the slope before and after reinforcement. In this analysis, sheet pile reinforcement is done with three conditions. From the calculations obtained the value of the safety factor using the Bishop method obtained by 1.11. The value of the safety factor under conditions 1, 2 and 3 was 1.45; 1.50; 1.58. From this study, it was concluded that adding sheet pile as reinforcement would increase the value of the safety factor in order for the slope to be stable compared to the slope without any reinforcement.
User experience study on crane operator erection simulator using senso glove in a virtual reality environment
Authors: Fahmi F , Nainggolan F , Siregar B , Soeharwinto  , Zarlis M 
Published: May 2020

Abstract
Failure or mistakes in operating the crane can cause an accident while working on the project site, mainly when it deals with heavy and extensive material, for example, in the steel erection process. Proper crane operation for steel erection training using Virtual Reality (VR) technology can overcome this problem effectively and efficiently. The level of interactivity in a VR system can be increased by using a controller that can observe the user’s hand and finger movements. Senso Glove is a wireless glove that is able to read hand and finger movements and is able to provide vibrations. In the system developed in this study, Senso Glove is used as a system control tool to read hand movements and become the system input. In addition to input to the system, Senso Glove can also provide vibration to the user when the virtual hand is holding the lever on a crane in a virtual world or when the steel hit some part of construction during the process. Senso Glove’s ability as a crane operator simulator control tool can be tested using the Usability Test. Therefore, USE Questionnaire was used with a Likert Scale as a media survey for system users. From the survey results, it was found that the user was easy to remember how to operate a crane with a Senso Glove with an average value of 4.25 per 5 Likert scales. However, users also find Senso Glove challenging to learn by everyone with an average value of 2.95 per 5 Likert scales. This is due to the precision that is still difficult given by Senso Glove with the average value of virtual hand movements produced by Senso Glove is 3.15 per 5 Likert scale.
Engineering Economics Evaluation For Manufacturing Competitiveness : A case study.
Authors: Hasugian Ivo Andika , Dewi Evita , Vandrick  
Published: May 2020

Abstract
Cassava is one of the valuable commodities in Indonesia that can be used as various types of food. One of the foods made from cassava is Tapai which is the result of boiling and fermentation of cassava and has a high carbohydrate content. Tapai’s business Mr. Legimin is a business that produces Tapai and sells it in plastic packaging. This business has been producing tapai since 20 years ago and has never conducted an economic analysis to prepare itself to enter the development of a rapidly growing industry. The research method used in this study consists of depreciation calculations, production costs consisting of fixed costs and variable costs, production costs, breakeven points and investment feasibility analysis using the Net Present Value (NPV) method, the benefit cost ratio (Net B) / Ratio C), Internal Rate of Return (IRR) and Payback Period (PBP). Based on an economic analysis with a project life of five years, it was found that the total production cost was Rp38,533,566.7 / month with production costs reaching Rp3,952.16 / kg, breakeven point 2,101 kg / month, NPV Rp2,355,523,695, B / C Net 2.41, IRR> MARR and the payback period is two months.
Analysis Of Queuing Models Of Fast Food Restaurant with Simulation Approach
Authors: Hasugian Ivo Andika , Vandrick  , Dewi Evita 
Published: May 2020

Abstract
Queues in the cashier area in food purchases is one of the problems that often occurs in business processes in the community. Queues occur because of an imbalance between those served and their services. In fast food restaurants like XYZ, queues generally occur during lunch breaks or at dinner time. The purpose of this study is to determine the queuing model that occurs in the XYZ cashier area and analyze whether the queuing model is appropriate and efficient by comparing the previous model with the simulation results that have been carried out with the help of Anylogic software. The restaurant queue system is 3 queue lines and 3 counters. The average length of service and the interval of arrival of workers is 125.1 seconds and 67.5 seconds. Preliminary observational data show the average service time counters 1, 2 and 3 are 111, 136, 138 seconds. This fact shows that there is a long queue, the number of customers served at relatively low time units and work imbalances between operators. The results of the best queue simulation are proven to have shorter queues and the highest number of customers served per unit time. Based on the simulation results obtained by replacing 3 queue lines into 1 queue line and increasing the number of customers served is 74 people from 129 customers with the percentage of customers at each counter that is 28.38% for counter 1, 27.03% for counters 2 and 44, 59% for counter 3.
Analysis of Defective Causes in Coffee Product Using Decision Tree Approach
Authors: Rizkya I , Syahputri K , Sari RM , Christin S 
Published: May 2020

Abstract
The development of Indonesian coffee through exploration of regional wealth needs to be done to add coffee products when expanding the domestic and overseas coffee market. But there are still many defective products found in domestic coffee, where defective products are products produced in the production process, where the product resulted is not in accordance with the applied quality standards, but it can still be improved by spending certain costs. The method used to identify defects in the product is assessed of space, workers and machinery aspects, and then a decision tree is made to determine the critical point. The results of the research conducted found that most defects are in coffee that does not has epidermis about 21% of the total sample of 23.000 grams. With fishbone diagrams and the decision tree approach the cause of the defect is known.
Analysis of the use of CMUcam5 Pixy camera in wheeled soccer robots
Authors: Nasution T H , Simon A , Fahmi F , Tanjung K , Zarlis M , Noer N 
Published: May 2020

Abstract
Wheeled soccer robot is a robot that can play football like humans but maneuvers using wheels. Wheeled soccer robot has an event that is held routinely every year in Indonesia, namely in the Indonesian Robot Contest. To play well, the robot is certainly equipped with sensors and actuators that are qualified. One of the sensors used is the camera. The camera on the soccer robot functions to capture images around the robot that will later be processed on a computer. In this study, we analyzed the use of CMUcam5 Pixy for wheeled soccer robots. testing is carried out as much as 2 stages, namely testing without noise and testing with noise. From the results of tests that have been carried out, the CMUcam5 Pixy camera has a certain limit for detecting the ball. In testing with CMUcam5 Pixy camera noise can only detect up to 490 cm. Whereas in testing with CMUcam5 Pixy camera noise can only detect up to 420 cm.
The Implementation of Deep Learning Using Convolutional Neural Network to Classify Based on Stomata Microscopic Image of Curcuma Herbal Plants
Authors: Andayani U , Sumantri I B , Pahala Andes , Muchtar M A 
Published: May 2020

Abstract
There are so many types of herbal plants that come from the same genus. The similarity of features in herbal plants makes it difficult to distinguish. Especially in the pharmaceutical field, which is very risky for making mistakes. The part of plants that is often used as ingredients for herbal medicines is the leaves, so research on leaves and their constituent organelles is very important for the pharmaceutical world. Therefore, an approach is needed to identify the types of organelles present in the leaves, where the organelles most frequently studied are the stomata. So, a neural network approach is needed to distinguish plant characteristics in the same genus. In this research there are 2 species of plants in the Curcuma genus, namely turmeric and ginger. This research was conducted by implementing Deep Learning using Convolutional Neural Network (CNN) with the help of the Gabor filter process and feature extraction using the Gray Level Co-occurrence Matrix (GLCM). The study was conducted using 160 microscopic images of Curcuma herbal plants as training data with training accuracy of 93.1% and test data of 40 images with an accuracy of 92.5%.
The effect of stage number on the performance of a vapor compression refrigeration cycle using refrigerant R32
Authors: Nasution A H , Ambarita H , Sihombing H. V. , Setiawan E Y , Kawai H. 
Published: May 2020

Abstract
In the refrigerant cycle of Air-Conditioning (AC) unit the mainly used cycle is vapor compression cycle. The performance of the refrigerant, named as Coefficient of Performance (COP), need to be improved by using modification. The modification by using multi stage is one of the potential solutions. In the present study, the effect of number of stage to the performance will be explored. A simple vapor compression cycle that is typically used in the AC unit is taken into study. IN the cycle the refrigerant is difluoromethane R32. Three different stages are examined, they are single stage, two-stages, and three stages. The numerical analyses are carried out using commercial Aspen One software. The COP, mass flow rate of the refrigerant and compressor power will be discussed. The result shows that increasing the number of stages related to increasing the COP.
Identification of Critical Waste on Outpatient Installation in Universitas Sumatera Utara (USU) Hospital
Authors: Syahputri K , Sari R M , Rizkya I , Leviza J 
Published: May 2020

Abstract
Increasing the number of existing hospitals leads to increase a competition among hospitals. This condition causes hospital to become more competent by improving existing services, as well as providing continuous healthcare quality to every patient. Service system at outpatient installation of USU Hospital in BPJS patient often experiencing problem because there are still many waste at each part and patient service process become inefficient. Therefore, it is necessary to analyze critical waste identification to know the most dominant waste occurring in the process to do an action as soon as possible. The results obtained from the identification indicates that the most critical waste in BPJS patient service process is waiting, where the patient must wait for a long time starting from the registration process, inspection at polyclinic, and medicine-taking at the pharmacy.
Availability and reliability assessment of production systems using simulations
Authors: Napitupulu Humala , Nurhayati  
Published: May 2020

Abstract
Reliability assessments in the industry is needed to support production planning, facility maintenance, and other related matters. The reliability of an equipment is usually assessed based on the operating period of its components. Likewise the reliability of the system can be assessed based on the reliability of the subsystem. Assessment of the reliability of production systems as a combination of a number of subsystems can be done using analytical models suitable for series and parallel arrangements. For complex production systems, valuation can use a combination of series and parallel models. But for a production system that consists of a lot of equipment in a series arrangement, evaluations using analytical models will provide low reliability that does not reflect real conditions. In the industry studied, the reliability of the system with 14 subsystems in a series arrangement is around 0.2%. Therefore, reliability assessment needs to be done by simulation. Using the proposed simulation model, the reliability of the system obtained is around 90.4%. This assessment shows that the assessment of the reliability of the production system is more appropriate using simulations, and the proposed simulation model can be used in reliability assessments
Improving the work system with management engineering methods
Authors: Siregar I , Nasution T H , Syahputri K 
Published: May 2020

Abstract
Management engineering is often done in the industrial world, especially factories and manufacturing companies. In this research, management engineering will be applied in hospitals, especially in the emergency department, why is it done in this department, because in previous studies data collection has been carried out and it is concluded that nurses in this department have a high degree of flexibility, so can cause errors while working. Almost the same as the application of fatigue in the manufacturing industry that the level of fatigue on the operator can reduce work productivity. This research will apply a macro ergonomic approach, in which the model used is the System Engineering Initiative for Patient Safety (SEIPS) model at the Hospital. This approach uses interview and observation techniques. Through this approach the causal factors will be seen and, in the future, seen how the solution to overcome this fatigue factor. This method uses a survey system that involves a large state-owned hospital in the city of Medan by using 83 nurse respondents and 7 respondents from the hospital.
Classification of elderly based on attitude for health promotive in Deli Serdang using machine learning approach
Authors: Pasaribu Masdalifa , Siagian Albiner , Lubis Rahayu , Ramadani Dewi , Subarniati Triyoga Rika , Sudaryati Etti 
Published: May 2020

Abstract
Health promotion is the process of enabling people to increase control over and to improve their health. Health promotion is a global issue. In the most city in Indonesia, health is improving. In this case, we collected the elderly data from Deli Serdang, North Sumatera, Indonesia. The aim of this study to classify the elderly dataset using Support Vector Machine and Logistic Regression as a machine learning approach. The result of this study indicated the SVM and Logistic Regression is available to train and test the dataset. The dominant sample in this study is female. The evaluation of the elderly dataset using two models of machine learning indicated there is a positive attitude with the age for health promotion.
Crude Palm Oil Product Quality Control Using Seven Tools (case study: XYZ Company)
Authors: Ginting Rosnani , Wanli  , Fauzi Malik Alfin 
Published: May 2020

Abstract
Competition in the palm oil processing industry in Indonesia is very competitive. One of the factors that influence the good name of the company is the quality of the product produced. PT. XYZ is a palm oil processing factory with export and domestic market share. In order for the company to be able to compete with other companies engaged in similar industries, the company is required to need to carry out strict checks on product quality. PT. XYZ faces several obstacles to meet the quality standards of its main products namely Crude Palm Oil (CPO). The problem that is often found related to quality in CPO is the quality of CPO that does not meet consumer standards even though the company has implemented quality control in CPO production. This can reduce consumer confidence in the products sold by the company. CPO product quality standards set are free fatty acid levels (FFA) (<5%), water content (<0.15%) and impurities content (<0.02%). This study aims to determine what types of defect affect the quality of CPO and what causes the defect. This research uses seven tools method consisting of stratification, check sheet, histogram, pareto diagram, scatter diagram, control chart and cause and effect diagram. From the results of the Pareto diagram analysis it appears that the dominant defect that occurs in CPO is high free fatty acid levels with a percentage of 39.3%, then followed by defect with high impurities content of 35.4% and high water content of 25.3%. By using the Pareto 80/20 principle, the defect factor which is further analyzed is the defect of high free fatty acids and high levels of impurities. Through scatter diagrams and correlation analysis, the value of r = 0.5, where the value indicates that high free fatty acid defects and high impurities have a positive effect on the number of defects. By using a causal diagram analysis (fishbone diagram) it was found that the factors causing the high level of damage to this palm oil product are influenced by 3 main factors, namely raw materials, humans, and machinery.