bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Ceiba pentandra Biodiesel/Dexlite Diesel Blends on the Four-Stroke Diesel Engine Performances
Authors: Widjanarko D , Kusumaningtyas R D , Jamari I P 
Published: March 2021

Abstract
The increasing number of motorized vehicles causes an increase in fuel consumption. Meanwhile, fuel consumption in Indonesia is inversely proportional to the amount of oil production in Indonesia. One of the solution in by using biodiesel from kapok (Ceiba pentendra) seed as a diesel fuel blends. In this research, blends of dexlite (diesel fuel)/Ceiba pentandra biodiesel was studied on the four stroke diesel engine performance. Four different fuel blends (B10, B20, B30 and B40) and B0 (pure dexlite fuel) were prepared for the engine performance test. The engine performance shows that addition of biodiesel to diesel fuel gave lower torque than the dexlite fuel. Biodiesel blends also have lower brake power compared to the dexlite fuel. Among different biodiesel blends, A 10% biodiesel blend shows the best engine performance in terms of engine torque and brake power.
Application of Elliptical Blade Shape to Enhance Power Generation of the Savonius Water Turbine
Authors: Sutaji A , Yusvika M , Tjahjana D D D P , Hadi S 
Published: March 2021

Abstract
Sewerage pipelines found in the buildings can be used as a mechanical energy resource for small capacity hydropower plant. The utilization of energy sources can be generated by installing the savonius hydrokinetic turbine. Conventional turbine is designed with semi-circular blades able to generates its own performance, but is still relatively low. In this research, the savonius type elliptical blades are applied to enhance the turbine performance. This experimental observation are conducted to obtain the optimal number of blades, which is determined by the maximum power generated by the rotor. The number of blades are tested for 2, 3, and 4 blades with four differences of the water discharge. A single-stage horizontal axis savonius water turbine (HAWT) was installed in a 3 inches diameter pipelines. The results of the experiment show that at four numbers of the blade, obtained the optimal power of 4.251 Watts at a discharge of 5.826 x 10−3 m3/s with tip speed ratio (λ) 2.37 and the coefficient of power (C

P
) 0.025.
Solar Cell Cooling with Phase Change Material (PCM) for Enhanced Efficiency: A Review
Authors: Seto D B , Kristiawan B , Ubaidillah  , Arifin Z 
Published: March 2021

Abstract
This literature aimed to explain recent studies related to the passive cooling of solar cells using Phase Change Material (PCM). Cooling is done to reduce operating temperature and to prevent a decrease in efficiency in an unfavorable environment because the efficiency of the solar cell system decreases when the operating temperature rises and can damage the PV module. The successful use of phase change materials (PCM) from latent heat storage systems is highly dependent on the thermal reliability and stability of the phase change materials used. In conclusion, the overall energy utilization ratio of cooled PV using a PCM system can be increased through a thermal regulation strategy, further research of this system is still needed to achieve maximum results in PV efficiency.
Noise Quality and Muffler Design of A Formula SAE Racecar
Authors: Masa’id A , Ubaidillah  , Lenggana B W , Pratama D R , Maharani E T , Sinaga F R 
Published: March 2021

Abstract
Mufflers are an essential part of the engine system and commonly used in the exhaust system to minimize sound transmissions caused by exhaust flow. The primary objective of a muffler is to reduce engine noise emission. Mufflers have a sophisticated design that affects fuel efficiency, noise characteristics and emission of engine. In the selection of a muffler for an internal combustion engine of a Formula SAE, several functional requirements should be considered, which include both acoustic and non-acoustical design issues. Attention must also be given to problems of space availability and configuration. The best material for the purpose must be chosen. Equally important is the most economical utilization of this material, both from the standpoint of original availability and cost, as well as the practical aspect of ease of production. Not only the basic acoustical design but also some of the problems of fabrication and attachment will be discussed.
Design Low Cost and Contactless Temperature Measurement Gate Based on the Internet of Things (IoT)
Authors: Ramelan A , Ajie G S , Ibrahim M H , Pramono S , Rizqulloh M A 
Published: March 2021

Abstract
Temperature measurements in preventing the spread of Covid-19 will be carried out automatically using a gate equipped with a temperature sensor. This tool is designed in a portable way, allowing monitoring of body temperature data at certain locations utilizing cloud-based technology provider services Internet of Things (IoT) that is integrated with device medical assistance (the nearest hospital). Hence, it can be followed up to get the first treatment. The hardware design of this device is equipped with an LED running text to display a person’s body temperature in real time and also an alarm for the body temperature measured to exceed the threshold. The software design uses the Wi-Fi protocol to process data from sensors for monitoring by end-users in the form of mobile or web app via the server cloud platform by HTTP Post protocol. The results showed that CTM-IoT has a precision of 99.8% and an accuracy of 99.6%. This tool is suitable to be implemented at gate terminals, stations, airports, malls, etc. without being operated directly by officers at close range.
IoT Based Building Energy Monitoring and Controlling System Using LoRa Modulation and MQTT Protocol
Authors: Ramelan A , Adriyanto F , Hermanu B.A.C , Ibrahim M H , Saputro J S , Setiawan O 
Published: March 2021

Abstract
Building energy monitoring systems are carried out to facilitate the monitoring and controlling of building energy consumption. Monitoring and controlling the use of electrical energy in real-time in a building has an impact on the pattern of regulating the efficiency level of energy use. This paper presents an effort to optimize energy consumption by using an energy management system using LoRa modulation and MQTT protocols. Sensors that feed electrical power data to a custom energy monitoring system are compiled by a set of sensors equipped with a power supply that is fastened to the system on a microcontroller with a LoRa communication interface then are called nodes. The nodes consist of arduino uno as a microcontroller, dragino LoRa Shield, ACS712 current sensor, ZMPT101B voltage sensor, and relay. Dragino LoRa Gateway LG01-N is used to connect the measured parameters to the IoT cloud server. MQTT protocol is used for the broker between nodes and servers using subscribe and publish method. In the initial experiments, the data visualization platform used was the open-source thingspeak platform. This platform includes a data visualization template and enables device control for savings. In the end nodes, the voltage, current, and power sensor accuracy error are 1,24%, 2.60%, and 3.13%.
Web-Based Telegram Chatbot Management System: Create Chatbot Without Programming Language Requirements
Authors: Hasyim M W , Pramono S , Sutrisno  
Published: March 2021

Abstract
The growth of communication technology that keeps developing, the way we obtain and provide information are developing. One of the applications that get lots of interest is Telegram. This application makes out communication easier. The development of communication model through Telegram is developing as well, one of the models is the chatbot. Chatbot can be made answers a lot faster. Until recently, chatbots are mostly created with a particular programming language. This makes creating a chatbot only limited to those who understand the programming language. Although many applications offer to create a chatbot without programming by big vendors, but there hasn’t been any academic literature for this topic yet. Therefore, in this research, I will design and implement the Telegram chatbot management system. This application provides to create a chatbot without programming language requirements. The user just needs to set the keyword and choose what action will chatbot give. This application also provides a direct message, broadcast message, and display usage statistics. This application tested by creating actions set, buttons set, command, direct message, broadcast message, and display usage statistics. The user can do all of those without any programming language requirements.
Current Voltage Analysis of High Voltage Plasma Discharge
Authors: Fadhillah R. , Anwar M. , Perdana Y. M. P. , Anjarwati L. , Apribowo C.H.B. 
Published: March 2021

Abstract
Nowadays plasma technology can be used in various types of sectors in everyday life. The development of research on plasma technology provides many benefits in every sector, like industrial for material processing, environment for waste treatment, etc. This research aims to see the current-voltage impact on plasma discharge using Inverter Boost Kit 15 kV as the source of plasma, to find the energy needed to produce plasma and the distance of electrodes when the plasma occurs. Sensors of current and voltage were installed simultaneously on each side to measure the values during plasma discharges. Mathematical calculations were also performed to determine the electric charge and capacitance values of plasma. As the result based on the secondary current value, the discharge type of plasma is corona discharge, because the values reach the order of microampere. The capacitance value temperature value increase when batteries supply higher current to the electric motor, while voltage is decreasing. The capacitance value affected when the discharge gap change. The average discharge gap value is 5 mm, and when the discharge gap increase, the capacitance value will decrease.
Recent Trends of Big Data in Precision Agriculture: a Review
Authors: Sourav A I , Emanuel A W R 
Published: March 2021

Abstract
Recent developments in the field of technology have led to a renewed interest in the field of smart agriculture. The current smart agricultural system produces and depends on large amounts of data, yet, it is hard to process the vast amounts of data using traditional data analysis systems. Big Data technologies have attracted much attention among researchers due to their potential to handle large amounts of data. Thus, for numerous possibilities and powerful data processing capabilities, Big Data continues to become a hot topic of research in the agricultural field. This is indicated by the existing several pilot projects as well as various investigations that have been performed in the Big Data area. Therefore, this study attempts to review the recent trends of Big Data technology in the field of precision agriculture. The research focuses on the latest applications of Big Data technology in multi-disciplinary agri-area domains. A total of 25 recently published studies about Big Data in agri-areas were selected for the review process after proper screening. The selected papers were categorized according to their fields of study, purposes, methods applied, as well as their contributions in the agri-field. The findings indicated that Big Data application areas are expanding, and the impacts are significant in precision agriculture.
Redesign Integrated Control System GTG and HRSG to Reduce Loss of Electrical Production at Combined Cycle Power Plant Muara Karang
Authors: Nurkholiq S , Putra R K , Khumaidi A , Fatimah F , Kusuma E 
Published: March 2021

Abstract
Combined Cycle Power Plant (CCPP) Block 1 Muara Karang control system had performance degradation since 2016-2017. Performance degradation comes from the complexity of the design architectures that are serially configured which can cause loss of electrical production. The Re-Design Method is able to simplify the architecture design by replacing hardware devices into modbus-based TCP-IP software that is compatible with the communication technology between GTG and HRSG and has a redundant path that can increase reliability. Based on the Muara Karang PLTGU Block 1 disturbance report data, redesign is able to increase reliability and better financial aspect. It shows that before the redesign there were 9 disruptions, while after the redesign there were no failures and Total saving opportunity loss of electrical production is Rp 10,792,782,094.30. This value is obtained from the unit repair time from operation failure and electricity sales price. On the corporate side, Re-Design can be applied to other generating units that have differences in technology based on open protocol.
Inlet Guide Vane Tracking Effectiveness at Various Compressor Efficiency of Gas Turbine
Authors: Purba O , Zhultriza F 
Published: March 2021

Abstract
The baseload operating patterns in Java-Bali’s system are imposed on coal-fired power plants, the combined cycle power plant (CCPP) is used as a spinning reserve so that the CCPP operates with a small load factor (partial load) to support system reliability. This operation results in a high plant heat rate for the CCPP since it operates more often at minimum loads. To improve the heat rate of CCPP at partial load, inlet guide vane tracking (IGVT) is performed. IGVT alters the opening position of inlet guide vane (IGV) in the partial load operation. The effect of IGVT application in CCPP is analysed with several operating parameters, such as fuel usage, turbine exhaust temperature (TET), the total load generated by the CCPP, and the total of net plant heat rate (NPHR) after IGVT application. The variation on IGV leads TET to increase. A higher TET affects the heat recovery steam generator (HRSG) and causes the load generated by the steam turbine to become larger compared to the load before performing IGVT application. The results show that the combined cycle heat rate drops to 24 kCal/kWh and thus improving the efficiency of the CCPP, up to 1.5% in partial load operation model.
Gas Turbine Hidden Capacity Recovery by Inlet Air Filter Variation Method to Produce Clean and Efficient Energy
Authors: Purba O. , Zhultriza F. 
Published: March 2021

Abstract
In the F-series gas turbine with the capacity of 250MW, as time goes by, the power produced will drop below its initial capacity, this refers as a hidden capacity. Hidden capacity occurs due to several causes, one of them is the decreased of compressor efficiency. This happens because the Inlet Air Filter (IAF) is unable to filter particles more than 10 µm, as a result particles infiltrate compressor which can prompt scaling on compressor blade. This paper will discuss an effort to recover the hidden capacity by varying air filtration system in the IAF. The variation of IAF use High Efficiency Particulate Air (HEPA) filter and combination of pre-filters, consist of bag filter and coalescer, which can filtrate particles less than 10 µm and 1 µm. By implement this modification, compressor efficiency remains at 90.1%, compared to existing IAF, compressor efficiency drop to 85% and continuously. Because the compressor efficiency is maintained, power plant efficiency can also be maintained to avoid heat rate drop by 40 kCal/kWh. As a summary, after modifying the IAF, the F-Series Gas Turbine can produce more reliable power capacity, thus, the gas turbine can produce maximum load efficiently and hidden capacity can be recovered.
Natural Frequency Evaluation of Last Stage Steam Turbine Blade Power Plant Using Finite Element Method
Authors: Kokong A M , Widjayanto T , Setiawan H , Laksana A R , Djunaedi I 
Published: March 2021

Abstract
The possibility of a power plant trip can disrupt the stability of the network frequency settings. Load shedding is done at the frequency level. In case of frequency under nominal setting, the load shedding or trip generator decision must pay attention to the generator equipment factor, especially the last stage turbine blade and lacing wire. In this study analysis modal using ANSYS 2019 R2 was carried out to determine natural frequency of the last stage blade LP (low pressure) Steam Turbine Tanjung Awar Awar Indonesia power plant when operating at low frequencies, which is below the nominal operating frequency of 50 HZ or at a rotation of 3000 rpm. The finite element method analysis is applied to the 1 blade and 5 blade systems. The result for a natural frequency of 1 blade system occurs at 2639.6, 2783 and 2915 rpm. For the 5 blades system, natural frequency occurs at 2648 and 2563 rpm, so it can be concluded that the setting under frequency is not in the range of natural frequency last stage LP turbine blade, and lacing wire damage is not triggered by the natural frequency steam turbine blade.
Indramayu 3 x 330 MW CFPP Coal Yard Management Optimization with K-Means Clustering
Authors: Andria S 
Published: March 2021

Abstract
Coal yard management is part of the generation management to ensure that coal supply to the unit can continue to be met. The coal entering the boiler is regulated considering various coal characteristics that differ between suppliers with coal mixing strategies, to ensure the generating unit works following the performance target. One of the generating units operated by PT Pembangkit Jawa Bali (PJB) is the Indramayu 3 x 330 MW coal-fired power plant (CFPP). Using 1507 data shipments of PLTU Indramayu from January 2017 to June 2020, a more straightforward coal yard management method can be analyzed. Data were analyzed using k-means clustering by using important parameters from coal property data. Important parameters used are Gross Caloric Value (GCV), Hardgrove Grindability Index (HGI), theoretical air for combustion, and slagging index. From the modeling with k-means clustering, the six optimal clusters are obtained. These six clusters are much simpler than before, managed in 16 clusters in the coal yard. Simplified coal yard management will have a significant impact on operational efficiency.
PT PJB UPHT Calibration Laboratory Business Strategy with Business Model Canvas Method
Authors: Ardiansyah I , Ariyanto A W 
Published: March 2021

Abstract
Industry in Indonesia is facing the Asean Economic Community (AEC), which came on January 1, 2016. AEC have 3 pillars, namely: metrology, standardization, and conformity assessment. These 3 pillars facilitate the flow of products to meet quality standards for ASEAN market. The product standardization process requires calibration and test laboratories spread throughout Indonesia. PT PJB through its maintenance unit, namely UPHT and UPHB, has tried to establish a calibration laboratory to meet the quality standard requirements. Firstly, the calibration laboratory serve the internal needs of PT PJB, but seeing market opportunities, it can become a profit center by reaching calibration market. So that the PT PJB UPHT Calibration Laboratory can become a new line of business, the calibration laboratory business is developed to produce a value proposition as a profit center for PT PJB in calibration services. Business development of calibration laboratory is carried out using the Business Model Canvas (BMC). Through SWOT analysis and Blue Ocean Strategy, 2 Alternative BMC will be developed. Using Minaut decision making analysis, business models selected is alternative BMC 1 to be implemented in first two years and alternative BMC 2 to be implemented in the next years.
Development of Reliability-Based Decision Making for Optimum Operation and Maintenance Strategy in Coal-Fired Power Plant
Authors: Akhsani M F , Yuniarto M N 
Published: March 2021

Abstract
Operation and Maintenance (O&M) held a significant factor in the power generation business. Despite the costs only about 15% of all life cycle costs, this figure may fluctuate to ± 20% due to spare part costs, equipment’s economic lifetime, and personnel cost. This paper describes a reliability-based Decision Support System (DSS) development to determine an optimum O&M strategy for coal-fired power plants. The methodology was developed from System Dynamics modeling, with the objective function to maximize Net Present Value (NPV) and maintain availability exceeding its goal. DSS allows users to study the power plant cost characteristics within their life cycle, including its sensitivity to NPV. The model was tested to a 600 MW coal-fired power plant in Indonesia. Mean Absolute Percentage Error (MAPE) applied as model acceptance criteria. From this study, coal price was the most sensitive variable to NPV (62.36%), followed by dispatcher demand (53.31%), and overhaul duration (1.5%). From 4 simulated scenarios, it was concluded that O&M outsourcing as asset operator authority was a proper choice that provides the highest NPV. Nevertheless, some risks related to employee competence and bureaucratic obstacles should be controlled.
Increasing the Number of Inductive Stove Users in Indonesia Using Cognitive Intervention Model to Support Industry 4.0 Implementation at PT PLN (Persero)
Authors: Ramadhan A S , Ulfa E A 
Published: March 2021

Abstract
Indonesian government electricity utility company, PT PLN (Persero) has applied the application towards Industry 4.0. One of its application is promoting inductive stove among households, in terms of modernizing Indonesian people’s life behaviour. Inductive stove users in Indonesia is still low, because of its bad quality of promotion. So, the authors will try to provide suggestions to improve the quality of inductive stove promotion using cognitive intervention methods. This method is expected to increase inductive stove users in the households sector by changing the mindset of the society by cognitive intervention method and supports PT PLN (Persero) to apply industry 4.0 in Indonesia especially for the households sector.
Study of Debris Filter Valve Opening Angle Adjustment for NPHR Improvement in Kaltim Teluk CFPP
Authors: Santoso A , Priyono A , Huda K 
Published: March 2021

Abstract
Many things can affect the Net Plant Heat Rate (NPHR) value, including operating parameters, fuel and equipment’s condition. The performance target of NPHR for Kaltim Teluk CFB CFPP based on specifications is 3430 kCal / kWh. Operational data shows that the NPHR of Unit #1 and Unit #2 is higher then the performance target. Analysis of operation and maintenance data showed that the low average net load and high condenser back pressure are the dominant problems that caused heat loss. One way to minimize heat loss and improve NPHR performance can be done by maximizing debris filter cleaning process through adjusting valve opening angle which can reduce differential pressure and finally reduce the backpressure at the condenser. With the flow simulation inside the debris filter, in order to achieve maximum flow rate with acceptable erosion rate, the optimum cleaning reached at valve opening angle 75°-60° and with this cleaning method, heat loss can be reduced 14.96 kCal/kWh and 50.09 kCal/kWh for unit #1 and unit #2 respectively.