bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Optimization of Semi Finished Garment Distribution of Forboys SME in Pandeglang Area Using Genetic Algorithm
Authors: Tanjung WN , Nurhasanah N , Lutfia CF , Aribowo B , Safitri R , Samiono B , Devana M , Kalifa P , Fauzia SW , Supriyanto A 
Published: June 2019

Abstract
Distribution is one of crucial activities for a company because it will benefit the company from the sales of its distributed products. One way to facilitate distribution is determining an optimal route. Determining an optimal route is an important issue to solve since it can affect vehicle operating cost and time. Moreover, it is required to obtain an efficient route. This research deals with the optimization of distribution route of a garment SME located in Pandeglang, namely Forboys (FBS), who produces children’s clothing. This research attempts to seek which route is best for distributing semi-finished goods from FBS Warehouse to each CMT in Pandeglang, so as to minimize the cost incurred. In order to distribute semi-finished goods quickly, an efficient distribution route from FBS Warehouse to each CMT is required. This research is conducted uses Genetic Algorithm method. Genetic algorithm which is reliable in producing optimal output that can be used to solve the most appropriate for this type of problem. Based on the results of the research, the optimum route is found to be the one starting the delivery from FBS Warehouse - CMT 3 - CMT 2 - CMT 1 and back to FBS Warehouse, with a total distance of 205.5 km and the cost incurred for each distribution of IDR 386,500.
Utilizing project management software in project scheduling: a case study
Authors: Miranda Suci , Sugarindra M 
Published: June 2019

Abstract
Project scheduling is the application of skills, techniques, and intuition acquired through knowledge and experience to develop effective schedule models. It is integrated with various project components, such as activities, resources, and logical relationships. This is a case study of project scheduling under resource-constrained in an aircraft industry. In order to successfully run a project should focus on the project accomplishing effort related to the deadline. When the schedule execution of activities does not meet the project scheduling plan, the entire project may take longer duration to achieve the deliverables. This paper presents a rearranged schedule compared to the current set. Utilizing project management software (PMS), the project can be finished in 91 days employing 12 operators. Microsoft Project is preferred for further evaluating and managing project scheduling solution. The data is treated automated and the leveling method is applied to compress the completion project time related to the scope of the study is the limited resources allocated. Leads and lags have been identified regarding the new schedule results. The project can be accomplished quickly enough using the rearranged schedule.
Planting System Modeling Of Chrysanthemum Seedling Plants Stock for Profit Optimization
Authors: Ilmaniati A , Taufik D H 
Published: June 2019

Abstract
Inventories of conventional agricultural cultivation products are closely related to available land area. Often the area of available land is not comparable to meet all demands and cause a profit loss. Appropriate planting management is needed to minimize the profit loss. This study aims to optimize the profit from Chrysanthemum seedling cultivation on Cianjur seedling plantation by developing a model of decision-making system through simulating the planting proportion between varieties. The method used in this research is by using hard method operational research (OR) approaches, while the simulation process is done using spread sheet excel with manual input. The results showed that in one planting period required four times planting with the particular planting proportion. The total profit generated from the best scenario simulation is IDR. 385,779,274.19 with 24.63% profit from first planting, 26.26% from second planting, 27.97% from third planting and 21.13% from fourth planting. The results of this study provide a basis for determining the decision of planting patterns compared with existing conditions that have not used the planning model at all.
Optimum Container Network Route in Papua Region
Authors: Natalia Christine , Oktavia Chendrasari Wahyu , Eirene Gabriela 
Published: June 2019

Abstract
Indonesia is an archipelagic country which around 77% of its area is covered by water. Thus, developing good logistic system is needed especially in water-based route to distribute goods to the entire country. To develop national logistic system, government establishes Sea Highyway concept. This new concept is expected to lower the logistic cost for Eastern side of Indonesia especially Papua. The existing routing system has not yet established to reach all the seaport at Papua. This issue will still force air-based and land-based distribution system to take over most of its distribution activity. The main discussion of this research is to determine the most optimal routing system for container shipment in Papua. The determination of optimal routing system applies Integer Linear Programming for its approach. The scope of this research would be the container shipment originated from Tanjung Perak and Makassar. The seaports taken into account for this research consist of 3 hub ports and 7 feeder ports. Based on the calculation, 54 alternatives routing are determined and 22 of these are the most optimal routing system for container shipment in Papua.
Forecasting Methods and Implementation of DRP (Distribution Requirement Planning) Methods in Determining the Master Production Schedule
Authors: Magdalena Riana , Suli Theresia 
Published: June 2019

Abstract
PT ABC President Indonesia is a manufacturing company engaged in the food sector by producing ABC noodles and Nu Greentea. At PT ABC President Indonesia, the production scheduling process is one of the main processes carried out to determine the number of products that must be produced. Based on the problems that occur regarding stock, it is proposed that the best forecasting method is based on the time series of each Distribution Centre (DC) and processing Distribution Centre (DC) requests using the Distribution Requirement Planning (DRP) method. Where the DRP method is used, so that the company can meet the demand of every DC so that there is no shortage of products and the production process continues to run without the company experiencing losses. In addition, with the use of DRP method there will be additional stock so that if there is a defect, the company still has stock remaining so that it can still meet the customer demands for each DC and the product distribution process runs more regularly.
Applying value stream mapping tools and kanban system for waste identification and reduction (case study: a basic chemical company)
Authors: Kosasih Wilson , Sriwana I K , Sari E C , Doaly C O 
Published: June 2019

Abstract
This paper describes how to apply both of value stream mapping tools and kanban system for identifying and reducing wastes that happened on shop-floor. This research was conducted at a basic chemical company which produces the thinner. This study aims to reduce even to eliminate the types of waste that occur on the production line of jerrycan product type. The plot of VSM is used to picture the entire of value stream. The value stream mapping tools are used to analyze the certain waste after it has been figured out by using waste assessment model. Hence in this study two selected tools were applied and discussed further, i.e. process activity mapping, and supply chain response matrix. The Current-VSM shown that value-added time of 472.33 s compared with total lead time of 132,568.76 s, consequently obtained process cycle efficiency (PCE) approximately 0.36%. Kanban system will be implemented to eliminate waste of unnecessary inventory throughout the value stream. At last, the result of improvements shown that value of PCE probably will increase by 67.25%, non-value activity will reduce 6.74%, as well as order fulfillment time of the whole process will be 13 days with 3.59 days of physical stock.
Waste assessment using lean manufacturing in rubber production
Authors: Amrina Elita , Putri Nilda Tri , Anjani Dwara Mitha 
Published: June 2019

Abstract
During the rubber production process, there are several wastes caused by breakdown machines, damaged equipments, and production delays. Those wastes have negative impact to companies and thus, need to be eliminated. This study aims to assess wastes in rubber production process using lean manufacturing approach. Waste Relationship Matrix (WRM), Waste Assessment Questionnaire (WAQ), and Value Stream Analysis Tools (VALSAT) are applied to identify the wastes. Fishbone Diagram is then used to determine the root cause of problems. Finally, Failure Mode and Effect Analysis (FMEA) method is applied to evaluate the source of wastes and develop the action plans. It indicated that over production, inventory, and defects as the three highest wastes in the rubber production. Process Activity Mapping (PAM) is selected as the analysis tools in VALSAT and it obtained the activities in the rubber production are mostly categorized into value added activities. The necessary but non value added activities are also identified at a fairly high frequent. The major risks during the rubber production is related to dynamo damage and machine clogged in both hammer mill and mangle machine. It needs high attention from the production manager of rubber industry. Then, action plans are suggested to improve the maintenance program.
Maintenance management improvement based on reliability centered maintenance II in energy generating industries
Authors: Singgih M L , Prasetyawan Y , Sutikno  , Hartanto D , Kurniawan F R , Wicaksana W T 
Published: June 2019

Abstract
The X power plant is one of an electric company subsidiaries. Engaged in providing electricity for the certain regions. In general, the type of treatment from X power plant is short and long term maintenance. The application of these two systems helps X power plant to maintain the machines. The author argues that the type of maintenance from X power plant is not or is not yet optimal, the author wants to test whether reliability centered maintenance II treatment method can be applied in X power plant so that the efficiency and maintenance of the machine is in accordance with their individual needs. After implementing the RCM II information worksheet and RCM II decision worksheet, it is found that the existing maintenance management system in X power plant can be. Several incompatibility are detected, and should be matched with the corresponding maintenance method. For further research, the author recommend that the object of research are broadened so that the RCM II method can be used on other energy generating industries.
Redesign of office layout using activity relationship chart (ARC) at the “X” department administration office of a “Y” university
Authors: Wahyukaton  , Affifah Ghina 
Published: June 2019

Abstract
Administration office at “X” Department is a room for managing papers and letters administration, documentation, archiving, and also a room for communication to lecturers and students and office administrators. This room needs to have good layout in order to support the activity for all elements within the department. Redesign the office layout will reduce the time to wait for completing the letters which are needed by the students and the lecturers. This paper’s objectives are to improve the information flow and data flow, to reduce the documents stack, and to create a comfortable office to meet the facility layout principles. Activity Relation Chart (ARC) is been used to redesign the office layout by distributing questionnaires to the students and officers and lecturers to obtain the preference of closeness to construct the chart. The result is to redesign the desk into “L” shape to reduce the movements. Also, this result was explained later by a simulation using ARENA.
Integration of Lean Manufacturing and Group Technology Layout to increase production speed in the Manufacture of Furniture
Authors: Tarigan U , Tarigan U P P , Sukirman V 
Published: June 2019

Abstract
PT. ABC is a wood processing company which manufacture household appliances such as chair, table, wagon, shelf, and clothen hanger using rubber wood as the base material. Based on the results of observations made on the company, it was known that the production process in the company still having many non-value added activities such as delay and long distance transportation activities, causing longer lead time of the production process. From the problems that exist in the company, lean manufacturing approach is used to reduce non value added activities by using Value Stream Mapping to identify activities which are value added and which are the non-value added then to reduce non-value added activities 5W and 1H principles is used. After non-value added activities have been reduced, followed by Group Technology Layout approach to design three alternative layouts with the purpose of minimize the distance between station. This study aims to eliminate non-value added activities through simplification of the production process and redesign of the layout to reduce production time. The results of this study concluded that using this method the manufacturing lead time is decreased from the beginning of 19237.4 seconds to 14340.3 seconds. In addition, process cycle efficiency also increased by 34.15% and the completion of the process also increased by 20 units or by 25.64%.
Implementation of Material Requirement Planning (MRP) on Raw Material Order Planning System for Garment Industry
Authors: Hasanati Nidaul , Permatasari Effrizka , Nurhasanah Nunung , Hidayat Syarif 
Published: June 2019

Abstract
The increasingly competitive business environment has encouraged many actors to use information and communication technology as a competitive advantage, including the garment industry. So far, difficulties in controlling raw material inventories which causes problems for the production process. If there is a shortage of raw materials, the production process cannot be carried out, on the contrary if the raw material ordered is too excessive it will cause excess and the high cost of raw material inventory. This research develops an information system that can plan the needs of raw materials needed for production. This system is web-based, applying the MRP (Material Requirement Planning) method to develop raw material ordering planning systems, case studies at garment companies, using PHP programming and FIREBIRD databases. This system gets input from the production schedule resulting from production scheduling information system, then provides output in the form of recommendations for scheduling raw material orders. This output can later be used as a reference for the company’s operational decisions in planning raw material requirements.
Simulation Model Development for Determination of Components Production Quantity and Lead Time Reduction in Mass Customisation of Single Production Stage
Authors: Purnomo M R A , Shinta R C 
Published: June 2019

Abstract
Market rivalry forces manufacturing companies to be customer focus and have an agile system. In manufacturing companies that produce semi-common products based on customer order, the pressure from customers are usually faster delivery, reasonable price and higher product variability. This paper presents the use of Mass Customisation (MC) concept in order to cope with faster delivery and higher product variability. The MC concept is realised by determining Customer Order Decoupling Point (CODP). Besides MC, Theory of Constraint (TOC) concept is also applied in order to address problem that may occurred after MC implementation. Based on a simulation analysis, it shows that CODP implementation could improve delivery lead time and product variability performance dramatically up to 5.15 times compared to existing system. An optimisation algorithm is also proposed for further study in order to improve cost performance of the products.
Kinetics of Fly Ash Geopolymerization using Semi Quantitative Fourier-Transform Infrared Spectroscopy (FTIR); Corr Data
Authors: Murti Petrus Himawan Tri Bayu , Adelizar Arie Satya , Widiyatmoko Achmad , Olvianas Muhammad , Suprapta Wisnu , Perdana Indra , Prasetya Agus , Astuti Widi 
Published: June 2019

Abstract
Fly ash utilization is very urgent to be conducted alas contaminating the environment. One of the promising utilizations is geopolymer formation for material construction. In this study, geopolymer formation was studied using fly ash from PLTU Tanjung Jati Jepara. This study included kinetics prediction using solid state isoconversion kinetics that has been developed based on nucleation, geometric contraction, and diffusion models. Semi quantitative FTIR analysis (corr) has been applied to predict the kinetics of the fly ash geopolymerization in curing temperature of 30о and 90°C. In order to be able to verify the kinetics model time series data were taken in interval of 1,3,5,14,21, and 28 days. It is the diffusion model that represents the fly ash geopolymerization with R2 of 0.9437.
Design and Mechanism Analysis of Paddlewheel Aerator with Movable Blades
Authors: Bahri Samsul , Agus Setiawan Radite Praeko , Hermawan Wawan , Junior Muhammad Zairin 
Published: June 2019

Abstract
The successful of intensive aquaculture is strongly influenced by the ability of the farmers to overcome the deterioration of water quality. The problem is low dissolved oxygen through aeration process. The aerator device which widely used in pond farming is paddle wheel aerator because it is the best aerator in aeration mechanism and usable driven power. However, this aerator still has a low performance of aeration, so that the cost of aerator operational for aquaculture is still high. Up to now, the effort to improve the performance of aeration was done by two-dimensional blade design. Obviously, it does not provide an optimum result due to the power requirements for aeration is directly proportional to the increase of aeration rate. The development of movable blade is based on fact that power is required only when blade of paddle wheel aerator entering water and in contrary action of aeration effect only when the blade is about leaving the water. This study was carrier out to design paddle wheel aerator with movable blade which will open when entering water and close when leaving water. Wheel closed at quadrant I to IV (entering water surface) and was about to open at quadrant III to II (leaving water surface). The blade was designed referring to commonly used Taiwan wheel model. The size of the blade was 15 cm of width, 20 cm of length, trapezoid-shape with 15˚ of bottom side and 30˚ of top side, had 40 holes with diameter of 1.6 cm. The component of mobable blade mechanism consisted of cam and shaft, rim, rim cap, blade holder, follower, spring and bearing. Follower was able rotate with angle of rotation was 1250, rotational displacement was 50 mm, maximum velocity was 0.55 m/s and acceleration was 6.09 m/s2. The largest angle of pressure occurred between cam and follower was 40.120 and the maximum torque required to rotate movable wheel was 80.09 Nm. The result shows that the testing without a load at 115 rpm, the torque that occured is 43.05 N·m and the electric power consumption is 511.72 Watt. However, the electrical consumption is still higher comparing with Taiwan paddlewheel aerator model due to the friction occured on the follower and cam.
The effect of time and number of balls on shaker milling process in hydroxyapatite powder synthesis
Authors: Fadli A , Yenti S R , Rasyidin R , Sari M 
Published: June 2019

Abstract
The synthesis of hydroxyapatite (HA) from the shells of blood clams has been successfully performed by the low temperature hydrothermal method. To obtain uniform and nano-HA powder, size of obtained HA was reduced using shaker milling process. The purpose of this research was to determine the effect of time and the number of balls on the shaker mill process on hydroxyapatite particle size. The shells of blood clams were calcined at 1000 °C for 24 hours to obtain CaO powder. Then 55.63 gram (NH4)2HPO4 dissolved in 600 mL of distilled water then added 45,91 gram of CaO at 90 °C to form slurry. The slurry was dried at 120 °C for 15 hours, and milled using shaker milling process with variation of time 1, 2 and 4 hours and variation of number 10, 20, and 30 balls. The peak intensities show the high percentage of HA with Tricalcium phosphate (TCP) presence in X-ray diffraction (XRD) analysis. Diameter of crystal produced is 67 nm, with time variation for 2 hours and number of 20 balls. Breuner-Emmet-Teller (BET) analysis result, with time ball milling for 1 hour and the number of 10 balls surface area of HA is 36,974 m2/g. The longer of milling process, the temperature will also increase causing clumps of particles resulting in an increase in particle size. The more the ball is used then the surface area of obtained hydroxyapatite will be smaller.
Extraction of ElectroEncephaloGraph (EEG) Signal Using the Subband Coefficient of Wavelet Transform on Cursor Moves
Authors: Hindarto H , Muntasa A 
Published: June 2019

Abstract
This research explains the application of ElectroEncephaloGraph (EEG) signal waves used to move the up cursor and down cursor. In each sub band of the waveform, Electro Encephalo Graph (EEG) will produce the average and standard deviation to be used as a feature of the EEG. Artificial Neural Network Backpropagation as the basis for determining whether the cursor moves up or the cursor moves down. The data used in this study is EEG data derived from BCI Competition 2003 (BCI Competition 2003). Decision-making is done in two stages. In the first stage, the mean and standard deviation values on each wavelet subband as a feature extraction of EEG data. This feature is an input to the Backpropagation Neural Network. In the second stage of the process of inserting into two classes (class 0 and class 1) EEG data files, there are 260 EEG and 293 file training data files from EEG file test data files, totaling to 553 EEG data files. The results obtained for the classification of EEG results were 79.2%.
Functional cake characteristics of modified arrowroot starch (MAS) with the gelatinization-retrograde method
Authors: Damat D , Tain A , Handjani H , Chasanah U , Siskawardani D D 
Published: June 2019

Abstract
Healthy food consumption is a critical issue which enhances the functional food production demand. This research aimed to identify the optimum modified arrowroot starch for the best functional cake characteristics. Completely Randomized Design with one factor (arrowroot starch: wheat flour proportion) which consisted five levels (0:100; 25:75; 50:50; 75:25 and 100:0) was applied. The first step was MAS production (gelatinization-retrograde method) then applied to functional cake followed by proximate, resistant starch, expansion volume index and texture analysis. The result showed that 100% MAS was the best treatment with the highest carbohydrate and resistant starch (25.85% and 59.28%), and the lowest ash content, hardness, and expansion volume index (1.8%, 104.95N/mm2 and 45.32%). It can be concluded that functional cake characteristic becomes better and resistant starch (RS) level become higher with MAS application.