bluuebunny/crossref_metadata_2025 huggingface dataset:
Advancements in Battery Technologies of Electric Vehicle
Authors: Bupesh Raja V.K , Raja Ignatius , Kavvampally Rahul
Published: December 2021

The Automotive Industry has undergone a huge revolution – Electric Vehicles! Electric cars are growing fast and the demand for them is increasing all around the world, thanks to the more and improved choice, reduced prices, and enhancing battery technology. Introduced more than 100 years ago, electric vehicles have gone through a tremendous amount of advancement. This paper reviews the current major challenges faced by the Electric Vehicle Industry along with possible solutions to overcome them. Although electric vehicles have come a long way, the battery used in the vehicles needs to be further explored to harness maximum energy with a compact design. Electric vehicles should soon be able to compete with combustion engine vehicles in every aspect. Also, this paper reviews alternative materials for electrodes and batteries to make charging faster and reliable than ever. This paper envisages few concepts that could revolutionize Automobile Industry further in the future.
Vibration Control of Semi-Active Suspension System using Modified Skyhook with Advanced Firefly Algorithm
Authors: Talib M H Ab , Mat Darus I Z , Yatim H M , Hadi M S , Shaharuddin N M R , Mazali I I , Ardani M I
Published: December 2021

The semi-active suspension (SAS) system is a partial suspension device used in the vehicle system to improve the ride comfort and road handling. Due to the high non-linearity of the road profile disturbances plus uncertainties derived from vehicle dynamics, a conventional Skyhook controller is not deemed enough for the vehicle system to improve the performance. A major problem of the implementation of the controller is to optimize a proper parameter as this is an important element in demanding a good controller response. An advanced Firefly Algorithm (AFA) integrated with the modified skyhook (MSky) is proposed to enhance the robustness of the system and thus able to improve the vehicle ride comfort. In this paper, the controller scheme to be known as MSky-AFA was validated via MATLAB simulation environment. A different optimizer based on the original firefly algorithm (FA) is also studied in order to compute the parameter of the MSky controller. This control scheme to be known as MSky-FA was evaluated and compared to the proposed MSky-AFA as well as the passive suspension control. The results clearly exhibit more superior and better response of the MSky-AFA in reducing the body acceleration and displacement amplitude in comparison to the MSky-FA and passive counterparts for a sinusoidal road profile condition.
Accuracy and Convergence Analysis of uFA-FastSLAM for Robot and Landmarks Position Estimation
Authors: Musridho R J , Hasan H , Haron H , Gusman D , Mohammad M A
Published: December 2021

In autonomous mobile robots, Simultaneous Localization and Mapping (SLAM) is a demanding and vital topic. One of two primary solutions of SLAM problem is FastSLAM. In terms of accuracy and convergence, FastSLAM is known to degenerate over time. Previous work has hybridized FastSLAM with a modified Firefly Algorithm (FA), called unranked Firefly Algorithm (uFA), to optimize the accuracy and convergence of the robot and landmarks position estimation. However, it has not shown the performance of the accuracy and convergence. Therefore, this work is done to present both mentioned performances of FastSLAM and uFA-FastSLAM to see which one is better. The result of the experiment shows that uFA-FastSLAM has successfully improved the accuracy (in other words, reduced estimation error) and the convergence consistency of FastSLAM. The proposed uFA-FastSLAM is superior compared to conventional FastSLAM in estimation of landmarks position and robot position with 3.30 percent and 7.83 percent in terms of accuracy model respectively. Furthermore, the proposed uFA-FastSLAM also exhibits better performances compared to FastSLAM in terms of convergence consistency by 93.49 percent and 94.20 percent for estimation of landmarks position and robot position respectively.
A Novel Multiple Person Pose Estimation Optimization Model Utilizing Genetic Algorithm
Authors: Zhang Qing , Ding Lei , Zhou Kai Qing , Feng Li Jian
Published: December 2021

For traditional human pose estimation models rely on a large amount of human body feature information, this paper proposes an optimization model using genetic algorithm to solve the problem of multiple person body part assembly. Different from other human body parts assembly method. The method proposed in this paper depends on the joints position information, namely the sum of the connection distances between the joints as the objective function, and finds the optimal value to obtain the best human pose assembly information. The simulation results show that compared with the traditional OpenPose model, the model proposed in this paper can obtain the same human skeleton using less position information.
Jaya Algorithm for Optimization of Cooling Slope Casting Process Parameters
Authors: Said Rahaini Mohd , Sallehuddin Roselina , Radzi Nor Haizan Mohd , Kamal Mohamad Ridzuan Mohamad
Published: December 2021

This study proposed the Jaya algorithm to estimate an improved value of billet performance through the cooling casting process. Jaya algorithm is a recent evolution-based algorithm that simulates using stochastic behaviour. The algorithm concept is the solution obtained for a given problem should move towards the best solution and should avoid the worst solution. This algorithm requires only the common control parameters and does not require any algorithm specific control parameters. To the best our knowledge, Jaya algorithm is not yet been used computational approach for optimization practice, particularly in the Cooling casting process. Three Cooling slope parameters process that influences the billet performance measurements, a maximum degree of sphericity and minimum grain size are pouring temperature, slanting angle, and travelling distance. The results show that the Jaya algorithm gave a better optimal solution for the maximum degree of sphericity and minimum particle size than experimental data.
A Study of University Website Content Classification Using Machine Learning
Authors: Mohd Sharul H R , Nor Azman I , Mohd Su Elya M
Published: December 2021

A university website is a gateway to the institution’s information, products, and services. As websites grow into millions in numbers, it is essential to ensure that the content reflects the needs of its students, staff, and other academic institution as their primary users. This research investigates the development of a new framework that uses machine learning techniques based on webometrics and web usability to classify the web pages of academic websites automatically. The framework briefly introduced how it can help classify web content and eliminate unrelated content and reduce storage space. The findings can also be used to analyse other web-based data to give additional insights that may be beneficial for webometrics studies and identify university website’ characteristics.
Alternative Route for Biodiesel Synthesis with Co-Production of Glycerol Carbonate
Authors: Ilham Zul , Saka Shiro
Published: December 2021

As an alternative route from the conventional alkali-catalyzed biodiesel production, the supercritical dimethyl carbonate method had been proven to successfully produce biodiesel with the co-production of glycerol carbonate in a one-step and two-step non-catalytic methods. Biodiesel or fatty acid methyl esters (FAME) obtained were high in yield, comparable with supercritical methanol method and satisfy the international standards for use as biodiesel in engines. In this paper, key parameters for the processes such as reaction temperature, pressure, time, molar ratio of dimethyl carbonate to oil, the FAME yield, thermal decomposition, degree of denaturation, tocopherol content, oxidation stability and fuel properties were discussed. The optimized condition for supercritical dimethyl carbonate method is at 300°C/20MPa/20min/42:1 molar ratio of dimethyl carbonate to oil with a satisfactory yield of FAME at 97.4wt%. The extensive approach in this study is very important to complement mathematical model for optimization in the literatures, and to ensure that only high-quality biodiesel could be produced by supercritical dimethyl carbonate method under an optimized condition.
SMAW: The Effects of Currents and Welding Rod Diameters on Welded Joint Ultimate Tensile Strength Using the Full Factorial DOE
Authors: Mohd-Lair Noor Ajian , Yuyut Yuselley , Ahmad Zabidi , Tahir Abdullah Mohd
Published: December 2021

This research was significant as it extensively studies the effects of current and rod diameter on SMAW welded join. The Mild Steel (AISI 1018) was used as the base material to be welded using the E-6013 welding rod. The experiment was constructed according to the full factorial design of experiment (DOE). This project found that the current and rod diameter are the significant factors in affecting the ultimate tensile strength (UTS). New contribution from this research was that the rod diameter is more significant than the current in affecting the UTS of a welded joint. In addition, this research also contributed new finding by showing that the interaction between current and rod diameter as significant in affecting the UTS. This interaction was also found to be more significant that current but less significant than rod diameter in affecting the UTS of welded joint. In addition, this research showed that the tensile strength increases when the current is increased from 80A to 100A. However, the tensile strength decreased as the current is set between 110A to 130A. At the same time, the welding rod diameter of 2.5mm produced the highest tensile strength compared to 3.2mm and 4.0mm rod diameter. This research also optimised the experiment and found that the highest tensile strength obtained is 342.39 MPa, which is produced using 80A of welding current with 2.5mm rod diameter.
Novel Pneumatic System for Lime Dosage in Water Treatment Application
Authors: Othman Farid , Abdullah Nur Azam , Sulaeman Erwin , Khan Sher Afghan
Published: December 2021

This paper proposes a new pneumatic mechanism for lime dosage in water treatment application. Conventionally, current water treatment system technologies utilising pump system, which requires scheduling maintenance of operation to avoid choke problem due to scaling development. The choke formation depends on the lime dosage concentration, which will be based on the time of operations. Technically, the pneumatic system uses such a hydraulic mechanism consisting of fluid, especially liquid oil, to operate, requiring higher maintenance costs. Based on these arguments, this research investigates the potential of replacing the pump system with an air pneumatic system for water treatment. For that reason, this study proposed a new design of pneumatic mechanism as the alternative solution for pump system. Several analyses have been performed from fluid mechanics to study the water treatment plant flow rate that could be competitive with the conventional pump system.
Investigation of Single Fibre Tensile Properties of the Pineapple Leaf (PALF)
Authors: Mohd Rizal Muhammad Zuhair , Hamdan Ahmad
Published: December 2021

Recently, natural fibres composite is rigorously explored as alternative fibres due to the source depletion of petroleum. This research was focusing on pineapple leaf (PALF). The purpose of this research was to study the single fibre tensile properties of PALF. The single fibre tensile test was conducted via the universal testing machine following ASTM D3379 – 89 standards. The result shows that the Ultimate Tensile Strength (UTS) and Young’s Modulus of PALF were 141.093 MPa and 89.073 MPa, respectively. This research’s benefits include reducing agriculture waste of pineapple leaf, which is commonly being thrown out by the farmers when the fruits are harvested. It focuses not only on waste reduction but also on economic factors when other industries fully utilise the pineapple leaf.
Microsleep Accident Prevention for SMART Vehicle via Image Processing Integrated with Artificial Intelligent
Authors: Zaleha S H , Abdul Wahab Nur Haliza , Ithnin Norafida , Ahmad Johana , Zakaria Noor Hidayah , Okereke Chinonso , Nuraini Huda A K
Published: December 2021

Number of accidents caused by microsleep increases rapidly each day. This is due to the current trend of life, for example high workload, long working hours, traffic jams, having too much caffeine, drinking alcohol, age factor, and many others. This microsleep can lead to major accidents, higher number of deaths, injuries, demolition of property and permanent disability. The creation of SMART Vehicles in the Internet of Things (IoT) increases the technology capabilities in transportation sectors, in addition to reduce the number of crashes on the roads. An integration with Artificial Intelligent (AI) can be a perfect combination on development of a microsleep detection and prevention. While the image processing will be used as the method of detecting the face changes from normal to microsleep symptoms on detecting the eye degree, the head motion and the mouth yawning. This work presented a review of current research that supported the integration of IoT and AI. The analysis and discussion on the best solution and method to prevent microsleep accidents was shown. Lastly, recommendation on development of real sensors for SMART Vehicles will be discussed. A preliminary result on this work also will be shown.
Parameter Design for Group Method Data Handling (GMDH) using Taguchi in Software Effort Estimation
Authors: Arbain Siti Hajar , Mustaffa N H , Ali N A , Jawawi D N A
Published: December 2021

Recently, the use of data-driven models is becoming increasingly impactful but has proven to offer best prediction with less knowledge of the geological, hydrological, and physical process behaviour and criteria. A Group Data Handling Model (GMDH) is one of the sub-model common neural network data driven. It was first developed for complex systems with a modelling and recognition algorithm. GMDH is known as a self-organizing heuristic modelling approach. For solving modelling issues involving multiple inputs to single output data, it is very successful. While the GMDH model has been implemented in many modelling fields, some modifications in terms of parameter design have been given little attention. In other respects, Dr. Genichi Taguchi suggested that the Taguchi method for improving the process or product design with the help of significant parameter levels that influence the delivery of the product. In this paper, we evaluated the behaviour of GMDH model based on numbers of neuron per layer, hidden layer, alpha, and train ratio parameters using Taguchi method. Cocomo and Kemerer datasets are used to test our hypothesized scenarios. The result shows that number of neurons, layer and train ratio are the important parameters that affects the performance of the GMDH model.
Phase Transformation and Microstructure Characterization of Ceramic Porcelain with Different Ratio of Treated Fgd Sludge/Feldspar
Authors: Alias Suffi Irni , Johar Banjuraizah , Adam Syed Nuzul Fadzli , Taib Mustaffa Ali Azhar , Othman Fatin Fatini , Fhan Khor Shing
Published: December 2021

The porcelain formulation containing percentages of treated FGD sludge waste from 5% up to 15% in replacement of feldspar were prepared. The porcelain mixture formulation were mixed by high energy planatery mill at speed 300 rpm for 1 hours. The powder were compacted by using hydraulic press and sintered at temperature 1200 °C for 3 hours. The sintered samples were characterized using X-ray fluorescene (XRF), X-ray diffraction (XRD), Fourier Transform Infrared (FTIR) and Thermogravimetry/Differential scanning calorimetry (TGA/DCS). The primary effect concerning the addition of treated FGD sludge was the change of intensity composition (gypsum and anhydrate) in porcelain formulation. The XRD analysis has shown that the main component in sludge waste were gypsum and anhydrate.
Development of High Entropy Alloy (HEA) as Catalyst for Azo Dye Degradation in Fenton Process
Authors: Hassan Nur Hudawiyah Abu , Natsir Nisa Syukrina Mat , Rahman Siti Noramira Ab , Daud Farah Diana Mohd , Jamal Nur Ayuni , Ibrahim NorFadhilah , Nordin Norhuda Hidayah
Published: December 2021

Azo dye is widely used in the textile industry since it is cost effective and simple to use. However, it becomes a continuous source of environmental pollution due to its carcinogenicity and toxicity. Various methods had been used to remove the azo dye in solution. One of the famous and repeatedly used is Fenton process. The Fenton’s process is one of the advanced oxidation process where iron catalysed hydrogen peroxide to generate hydroxyl radical. Treating azo dyes in solution requires a catalyst to enhance the process of degradation. Herein, high entropy alloy (HEA) has been proposed as a catalytic material to enhance the performance of Fenton process for azo dye degradation. HEA has been reported as a promising catalyst due to its high surface area. The higher the number of active sites, the higher the rate of azo dye degradation as more active sites are available for adsorption of azo dyes. The results have shown that HEA can be used as a catalyst to fasten the Fenton’s reaction since the degradation time is proven to be shorter in the presence of HEA. The method derived from the result of this study will contribute in treating azo dyes for wastewater management in Fenton process.
Monitoring of Stiffness Estimation for Tomato During Storage Period
Authors: Hashim M K R , Uda M N A , Mohd Sabri Muhammad Adi Yusri , Hashim U , Afnan Uda M N
Published: December 2021

The quality assessment through stiffness or firmness is widely used to identify the maturity of fruits and vegetables. Most of assessment method are destructive and no cost effective. This study was done to develop a stiffness estimation for tomato during storage period by using acoustics method. This project involved the usage of modern tools such as Arduino and LabVIEW where both of them were used to controls and regulate the data collected from a buzzer that produced sinusoidal sound wave. The time taken for the sound wave to reach the microphone were recorded as it was considered as the important factor in determining the stiffness factor, S, alongside the changing mass and diameter of the tomato during its storage period. At the end of the project, it was shown that the stiffness value of the tomato decreases in hand as the day progress. Furthermore, the correlation of the parameters was also calculated in which R2 value between stiffness and weight was finalized at 0.8993, with equation of y = 379.45 × – 40.321. The findings had successfully proved that the parameters involved in the research are greatly related.
Development of a device for multiplying numbers by means of FPGA
Authors: Berezin N M , Chernetskaya I E , Panishchev V S , Shabarov A M
Published: December 2021

The authors propose the description of the development of a device for multiplying numbers. The device for multiplying numbers on the field-programmable gate array (FPGA) includes two input and one output registers, fifty-six single-digit adders, sixty four logic elements AND, one exclusive OR gate. The main scientific and technical task in developing a device for multiplying numbers is to reduce hardware complexity using single-bit adders and logic elements. Introduction includes description of works of scientists and researchers whose publications are devoted to design and development of multiplier construction methods, multiplier FIR performance improvement by right-shift and addition method on FPGA (field-programmable gate array) basis. The implementation of MAC-block, hardware implementation of binary multiplier on the basis of multi operand adder, multiplier design by right-sliding and addition with control automaton in the FPGA basis is the actual research tasks presented in a number of papers. The description of features of multiplier implementation, high-speed multipliers with variable bit rate, studies of approaches for designing modular multipliers, FPGA image processing using Brown multiplier for performing convolution operation find application in problems of performance and speed. Also, a number of authors describe implementation of conveyorization method, design of dual multiplier, construction method of 8-bit multiplier with reduced delay, 8-bit high-density systolic multiplier arrays on FPGA and development of high-performance 8-bit multiplier using McCMOS technology. A fragment of a developed device for multiplying numbers is presented in the work by the authors. The principle of operation of a device for multiplication is described. The description of connected elements of the device is given. The timing diagrams of operation of a device for multiplication of numbers are presented.
Development of a machine vision system for recording experimental data in the study of torsional stiffness by dynamic mechanical analysis
Authors: Gryaznov A S , Prugov S S , Plotnikov V A
Published: December 2021

A machine vision system has been developed for recording data obtained on an experimental installation for studying relaxation transitions of polymers, as well as studying the dynamic shear modulus during phase transformations in alloys based on titanium nickelide. The computer vision system is based on simple algorithms implemented in the Java language in the IDE “Processing”. The conditions for the experiment and the procedure for processing the experimental data obtained on the basis of the machine vision system are determined.
Computational studies of hydrotoparaffin plugs in wells
Authors: Izmaylova G R
Published: December 2021

In Western Siberia and the Far North, complications caused by paraffin plugs in wells are not temporary. They are caused by ongoing factors, such as permafrost zones, a sharp temperature drop along the well, the high gas factor and water in the well products. The paper studies the possibility of using a high-frequency electromagnetic field to remove paraffin plugs inside the well. Mathematical modeling of the problem using a system of heat and mass transfer equations and boundary and initial conditions is described. The phase transition (melting of hydratoparaffin) is denoted by Stefan’s condition which is one of the boundary conditions. The problem does not have an analytical solution, so the numerical implementation of the solution is carried out. Graphs of dependences of melting limits on generator power, and distribution of temperature fields in wells are constructed.
Arduino-based automated system for determining water flow consumption in open flow
Authors: Koshoeva B B , Mikheeva N I , Mikheev D I , Bakalova A T
Published: December 2021

The article provides an overview of modern methods and devices for measuring water flow in open channels and natural watercourses, reflects the shortcomings and errors in their application. Considered the possibility of using the Arduino element base for creating an automated system for metering water consumption in an open stream and sending data via a Bluetooth module. Has been investigated the eventuality of using the pipe sensor YF-S201 for measuring the flow rate of liquid, in conjunction with the ultrasonic sensor of distance HC-SR04 for determining the level of water in the flow. The results of the experiment carried out on the basis of the laboratory stand “Hydraulic structures” in KSTU are presented. There were performed processing of the measurement results on the basis of the Arduino UNO board and a laptop, as well as remote data transmission and their visualization on a smartphone. The absolute and relative errors of the proposed system have been calculated.
Information modeling in the context of highways property complex management
Authors: Kostesha V A , Shapovalov D A , Kolesnikova I K , Biryukov D A , Chetverikova A A
Published: December 2021

This article reveals the topic of the implementation of information modeling in the legislation of the Russian Federation. The world experience of creating information models of capital construction and the main features of control and standardization of BIM formation are considered. The analysis of the existing legal framework is carried out in relation to the responsibilities of organizations for the formation and maintenance of information models. The scheme of the life cycle of the model was developed. The article is related to the field of highways property complex management. The main features of the formation of BIM roads, their systematization, storage and regular updating were identified. As a result of the study, a geoportal of highways was developed for the modernization of the land and property complex management of highways. It serves as the basis for geoinformation support for information modeling, cadastral, urban planning, inventory and other works on highways. Conclusions and recommendations for the further development of this area in the territory of the Russian Federation are presented.
Computer-aided study of the impedance dispersion of biological tissues
Authors: Malikov V N , Tihonsky N D , Kozlova V N , Ishkov A V
Published: December 2021

The article considers the development of a software and hardware system to study the impedance dispersion of biological fluids and tissues using an alternating signal generated and received by SensorDaq and LabView software. The design and development of the impedance measurement software and hardware system are described in detail. The impedance and capacitance values of the biological object were obtained when scanning at various frequencies and temperatures corresponding to different object conditions. The results of the system testing are shown, and the conclusions on the interaction nature of biological tissue and an external current are drawn.
Simulation modeling of composite piezotransformer measuring transducer with differential output
Authors: Sedalishchev V N , Sergeeva Ia S , Strahatov D O
Published: December 2021

The article presents the results of using simulation modeling to study the output characteristics of composite piezotransformer measuring transducers with a differential output. The processes were simulated using the Micro-Cap software. The article presents options for controlling the parameters of the equivalent electrical circuit of the converter. The article presents the results of simulation of composite piezotransformer measuring transducers with two degrees of freedom. Structurally, they can include piezoelectric elements, additional vibrators and communication elements between them. This allows you to expand their functionality, scope of practical application. The advantages are applicable to work in difficult and even extreme conditions. On the basis of such measuring transducers, prototypes of highly sensitive sensors were developed for measuring pressures, forces, temperature and other physical quantities, for monitoring the physical and mechanical characteristics of solids, liquid and gaseous media.
Investigation of propagation dynamics of material deformations caused by laser pulse action
Authors: Banishev A F
Published: December 2021

The mechanoluminescent materials attract increasing attention of scientists due to their capability of visualizing the mechanical stresses and deformations experienced by them. The deformations of materials arising under the action of powerful laser pulses were studied. The composite mechanoluminescent materials based on the polymer and phosphor powder were used for visualization and registration of deformation evolution dynamics. The mechanoluminescent materials were deposited on the surface of the materials under study. It has been shown that the spatial distribution of glow intensity of the mechanoluminescent layer and the rate of its change make possible judging the value and rate of material deformation under laser pulses.
Evaluation of an elliptically polarized undulator for the future Taiwan Photon Source
Authors: Luo H.-W. , Chung T.-Y. , Lee C.-H. , Hwang C.-S.
Published: December 2021

The resonant photon energy of an adjustable-phase undulator
(APU) is varied with the relative motion of the magnet arrays along
the longitudinal direction. There exists, however, a transverse
field gradient (TFG) of order 100 T/m in an APU of small gap
(∼10 mm). Whereas the TFG might affect the electron beam as it
contributes to the dynamic field integral and the radiation
integrals, the TFG might also degrade the performance of the
synchrotron radiation due to the transverse position-dependent
magnetic field. The effects of the TFG on the present Taiwan Photon
Source (TPS) and future TPS-upgraded are analyzed to investigate the
feasibility of an APU that operates in the soft x-ray region.
Study of large axial space rebinning algorithm in γ-photon industrial tomography image reconstruction
Authors: Wang M. , Zhao M. , Yao M. , Liu J. , Guo R.
Published: December 2021

The accuracy of the existing single slice and Fourier rebinning algorithms depends on the projection angle of the line of response. The increase of such projection angle with the detector size, typical in the large axial space of γ-photon industrial detection, and the loss of some projection data after rebinning, result in the degradation of the image quality. In addition, those algorithms consider the probability of positron annihilation equally distributed along the line of response, which prevents to estimate accurately the positions of the annihilation point, and can originate artifacts and noise in the reconstructed image. In this work, we propose an alternative large axial space rebinning algorithm. In that algorithm, initially the line of response is divided into transverse and axial components. Then, each line of response is uniformly rebinned into all the 2D sinogram data intersecting with it. To improve the accuracy of the estimate of the annihilation point location and suppress the noise effectively, we assign a Gaussian weight coefficient to the projection data, and optimise the rebinning algorithm with it. Finally, we reconstruct the image on the basis of the 2D sinograms with the optimised weights. On the computational side, the algorithm is also accelerated by making use of parallel computing. Both simulation and experimental results show that the proposed method improves the contrast and spatial resolution of 2D reconstructed images. Furthermore, the reconstruction time is not affected by the new method, which is therefore expected to meet the demand of γ-photon industrial inspection imaging.
Estimating Opportunity Cost as A Tool to Evaluate Water Loss Management of Non-Revenue Water at PDAM Tirta Khatulistiwa
Authors: Indah D P , Karpriana A P
Published: December 2021

Water loss or Non-Revenue Water (NRW) is a national problem PDAMs, including PDAM Tirta Khatulistiwa. In fact, with a high level of water loss, there is a significant potential loss of income. This study aims to implement opportunity cost calculation as a managerial tool for PDAM Tirta Khatulistiwa in making investment decisions to improve water loss management. This research was conducted by collecting information from financial, managerial, and local government equity participation reports. Then the data reduction is carried out and calculated based on the gross margin, net profit margin, and the opportunity cost. This study indicates that the capital investment provided by the Pontianak City’s government has increased, followed by an increase in the number of consumers. However, it was not followed by an increase in the company’s profit. This is due to the opportunity cost or lost income during the business process amounting to Rp31,218,673,384.64 in 2019 with a potential income to Rp222,663,258,365.00 if it manages to suppress distribution leakage to the level of 20%. This potential income is worthy of consideration for PDAM Tirta Khatulistiwa to start water loss management in the NRW reduction program.
Bed Load Distribution Analysis of Pondo Poboya River to The Hydraulics Flow Parameters
Authors: Rustiati N B , Andiese V M , Oktavia S R
Published: December 2021

The aim is to know the effect of bedload sediment to river hydraulics parameters. The research was conducted by taking samples in three-part of the river. Each location is taken ten cross-sections with left, middle, and right parts of the river. Bedload sediment is calculated by the grain analysis method. There are several approaches in determining the roughness: Manning, Raudkivi, Subramanya, Meyer, and Muller roughness. From the analysis results, sediment in the form of fine sediment (d ≤ 0.15 mm) located in the middle of the cross-section does not settle due to high velocity. In contrast, in the wet area, the velocity is smaller so that grain material is deposited. The relationship of bedload sediment to the morphological form of the river shows that the middle part has the most material content in grain sediment (d ≤ 0.15 mm). The wet edge has the most content in gravel and sand (d < 6 mm). The Manning equation obtained a minimum roughness of 0.0257 and a maximum coefficient of 0.0365 with an average value of 0.0311. This value is matched with the coefficient of roughness on the Manning table does not differ much, i.e., natural, straight, and meandering channels.
Assessment of Groundwater Vulnerability using COP Method to Support the Groundwater Protection in Karst Area
Authors: Yogafanny E , Legono D
Published: December 2021

The karst landform holds considerable water resource potential and is known for its underground rivers. On the other hand, the high porosity carbonate rocks on this landform cause the decrease of the natural protection function against groundwater pollution. Hence, the analysis of groundwater vulnerability in the karst area is prominent before making the spatial planning regulation. This recent study aimed to analyze the groundwater vulnerability in the karst area located in a part of Umbulrejo Village, Yogyakarta, Indonesia, and proposed action in groundwater protection. The method used in this research was based on the COP method. The data acquisition was conducted by survey method both for primary and secondary data. The COP (Concentration of flow, overlaying layers, and precipitation) analysis was supported by ArcGis software. The analysis of groundwater vulnerability showed that there were two vulnerability classes, i.e., very high (48.6%) and high (51.4%). These results were influenced mainly by the close distance of the recharge area to swallow holes and the lithology type (karst), which contributed to a very high value in reducing protection against groundwater. A proposed action to support groundwater protection is regulating the land utilization in the area of the settlements.
Effectiveness Of Boezem As A Zero Runoff In Blimbing Subdistric, Malang
Authors: Andawayanti U , Cahya E N , Fitriyasari A , Saleh C
Published: December 2021

During the rainy season, inundation often occurs in Blimbing Hamlet, Malang, which caused by inadequate existing drains and lack of utilization in water catchment buildings. Therefore it is necessary to accommodate this condition using zero runoff concept, by utilizing boezem, which is expected there is no inundation at all by flowing flow immediately either seeping into the ground or into an artificial landfill. In Blimbing Hamlet, there is a boezem for serving and accommodating rainwater. For overcoming inundation in this area, maximalizing the boezem is significantly essential. This research is aimed to know the effectiveness of boezem for zero runoff. This assessment was done by hydrology analysis to obtain Q2, and Q5, for boezem planning, inlet outlets gate, and new drainage channels. The evaluation for existing drainage system showed there was inundation in some drainage channels. A boezem area of 836.9 m2 with 1.1 m depth can reduce inundation to 10%. Alternative inundation countermeasures are carried out with the added depth of 3 m, floodgates on inlets and outlets with of 0.5 m width steel gate, and drainage channel inlets and outlets. With the rehabilitation of boezem and other complementary buildings, it can reduce inundation by 30%.
Long-term Spatiotemporal Trend Analysis of Precipitation and Temperature in Citarum Watershed, Indonesia
Authors: Rahmad R , Wirda M A
Published: December 2021

Analyzing meteorological variables such as precipitation and temperature can give valuable information regarding past and future climate variability. Citarum Watershed is one of the world’s most threatened watersheds and the most degraded on Indonesia’s Java Island. The Indonesian government regards it as the most strategically important river basin territory because it supplies 80 percent of the surface water supply to Jakarta. This study aims to analyze the precipitation and temperature trend in the Citarum Watershed. This study is preliminary research and intends to provide a better insight into the impacts of climate change on water availability in the tropical region. The detection was carried out with the use of a Mann-Kendall with Sen’s slope. The results indicated that there are significant increasing trends of precipitation during the wet season. Whereas the increasing trend in temperature exhibits for all stations in the basin. The highest increasing trend is in Bandung City, the city with the highest urbanization rate in Indonesia. It is widely acknowledged that rising urbanization will have a considerable impact on the worldwide land warming trend.
Groundwater Resources Estimation in the Middle of Randublatung Groundwater Basin Based on Geoelectrical Investigation
Authors: Setyaningsih D L , Setyawan K , Putra D P E , Salahuddin
Published: December 2021

The high groundwater use in the Randublatung Groundwater Basin area relates to groundwater abstraction for agriculture. Therefore, a question arises on how much groundwater resources in this area may support agricultural groundwater usage. This research has the objective to quantify the groundwater resources in this area. This research conducts a geoelectrical investigation to identify the aquifer’s lithology and observe the groundwater level. The research reveals that resistivity values of subsurface rock layers in the research area range from 0.13 to 124.86 Ωm. The aquifer layer consisted of two aquifer systems, with the hydraulic conductivity varies of the aquifer layer is 0.0001 cm/s until 0.01 cm/s. The aquifer layers estimated to be found at depths vary 5 – 90 m from the ground with thickness range from 10 to 70 m. Meanwhile, the aquiclude layers consisted of clay, silty clay, and sandy clay was estimated to be found at depths varies 0 – 50 m from the ground with thickness varies from 5 to 65 m. by combining those data with a hydraulic gradient of groundwater flow, the dynamic groundwater resources in the research area is estimated between 50 m3/day and 4,691 m3/day.
Assessing effects of climate change on irrigation water demand in the Lombok River Basin, Indonesia
Authors: Saputra A W W , Zakaria N A , Chan N W
Published: December 2021

Irrigation water demand in the command area is affected by rainfall and climate conditions in the river basin. In climate change conditions, rainfall and temperature are predicted to increase and projected to impact irrigation water requirements significantly. Therefore, understanding the climate change effects on irrigation demand in the command area is significant to the river basin manager and planner for managing water resources effectively. This study aims to predict the impact of climate change and irrigation efficiency improvement on the irrigation water requirement in 2032-2040. This study used the CropWat model to estimate irrigation water requirements in 1995-2005 and 2032-2040. Irrigation water demand in the Dodokan watershed as a part of the Lombok river basin was computed using the historical rainfall and climate data from observation stations. Further, the observed data from 2006 to 2014 were projected into climate change in 2032-2040 as an input for the model to predict the demand in corresponding years. Result suggests that the change of annual irrigation water demand in the Dodokan watershed was expected to rise by 1.61% in 2032-2040 compared with 1995-2005, and irrigation efficiency improvement effort would decrease the demand -18.18% in the climate change period.
Estimation of Rainfall from Climatology Data Using Artificial Neural Networks in Palembang City South Sumatera
Authors: Suhartanto E , Wahyuni S , Mufadhal K M
Published: December 2021

Estimation of climatological parameters, especially rainfall is a data requirement for all regions of Indonesia. The availability of rainfall data is used for early warning of flood or drought disasters. The study location is in Palembang City, South Sumatra Province, where floods and droughts often occur and lack of availability of rainfall data. This study aims to obtain the best model in estimating rainfall from climatological data. The analysis was carried out to estimate the rainfall from the climatological data using the Artificial Neural Networks method. The Artificial Neural Networks were applied and showed some results with the best calibration was at 16 years using TRAINLM with 1500 epochs that is the performances NSE = 0.54, RMSE = 99.37, and R = 0.74. Whereas the best validation was at 1 year that is the performances NSE = 0.41, RMSE = 87.32, and R = 0.65.
Mapping of groundwater potentiality index parameters using remote sensing and GIS techniques in the southern mountain, Yogyakarta Special Region
Authors: Hasibuan H , Rafsanjani A H , Putra D P E , Surjono S S
Published: December 2021

In the hydrogeological map sheet of the Special Region of Yogyakarta, the Mountain Zone is categorized as an area of scarce groundwater. This research is intended to determine the parameters of groundwater potential in the area of scarce groundwater according to the Groundwater Potentiality Index (GPI) methods, including; fractures, lithology, slope, topography, and rainfall. Fracture parameters, distribution, and topography were collected from the Indonesia Geospatial Portal and the Digital Elevation Model (DEM). The lithological parameters were obtained from data from the Geological Agency due to the Interpretation of Remote Sensing Images. Rainfall data for the last ten years was obtained from reports. Results show that most of the research area is a fairly massive rock area, and there are some local faults. The lithological parameters indicate that the research area is composed of breccias, sandstones, and tuffs. Distribution parameters obtained information that most distribution is notated river orders 1, 2, and 3 with several river orders notation 4, 5, and 6. The slope varies from <3% to> 65%, and the intensity of rainfall almost evenly ranges from 1600-2100 mm/year.
Potential Study of The Utilization of Rawa Rantau Panjang Irrigation for Farmers of Lawang Wetan District Musi Banyuasin Regency
Authors: Aminullah M , Sriati  , Wildayana E , Antoni M
Published: December 2021

This study is where from September 2020 to December 2020. The approach of irrigation areas is based on hydrological areas ranging from the main primary channel of the river, secondary channels to tertiary channels in the farmers’ rice fields. At the same time, the approach of potential utilization of irrigation water Rantau Panjang used the pra method (participatory rural appraisal). In addition to knowing public perception and field facts, conducting Focus Group Discussion (FGD) with questionnaire tools. Furthermore, the data is processed, tabulated, and analyzed with SWOT analysis. This study aims to determine the potential of long-term swamp irrigation utilization for farmers of Lawang Wetan Subdistrict, Musi Banyuasin Regency. The result of the study on the potential benefits of irrigation of Rantau Panjang swamp is 1. The potential of local resources strength to restore the activities of gotong royong in all activities. 2. potentially increase the functional area from 300 ha to 1.000 ha. 3. The potential of the formation, strengthening, and empowerment of water-use farmers associations (P3A). 4. soil fertility rates at the study site based on the availability of nutrients are generally classified as low to moderate so that rice paddy plants are more suitable to be cultivated at this location.
Analysis of wind generated wave characteristics by SWAN model in Balikpapan Bay
Authors: Napitupulu G , Nuruddin M F , Fekranie N A , Magdalena I
Published: December 2021

The initiative to relocate the capital of the Republic of Indonesia from Jakarta to Penajam Paser Utara requires research from various sectors in the area. Since Penajam Paser Utara is located in the coastal zone of Balikpapan Bay, it requires careful preparation. This research aims to examine the characteristics of wind-generated waves in the Balikpapan Bay area from 2016 to 2018. Bathymetry data from BATNAS with a resolution of 0.00166666° and Wind data (U10 wind velocity and direction) from the European Center for Medium-Range Weather Forecasts (ECMWF) with a resolution of 0.25° × 0.25° were utilized as input data in this study during three years (2016-2018). This research used the SWAN Model to model wind-produced waves to get significant wave values in spatial and time series form and monthly and seasonal wave energy spectrum characteristics. Based on this research, it can be concluded that significant wave height values are strongly correlated with wind speed. The highest wind speed is found in the DJF (Transition I) season. Maximum Hs (wave height) is found in DJF season, while Hs tends to be high in SON (Transition II) as well as DJF (Western Season), and Hs tends to be weak in MAM (Transition I) season.
Liquefaction Vulnerability Analysis using N-SPT Value and Grain Size Analysis on Gumbasa Irrigation Canal in the Post-Disaster Petobo Area, Sulawesi
Authors: Sauri S , Rifa’i A , Hardiyatmo H C
Published: December 2021

Strong earthquakes occurred in Central Sulawesi, Indonesia, in late 2018, causing an inheritance disaster, soil liquefaction on Gumbasa Irrigation Canal at Petobo, Sulawesi. Soil liquefaction is a phenomenon of a decreasing soil bearing capacity triggered by strong vibrations in certain soil conditions. It immediately changes the soil characteristic from solid to liquid. Liquefaction vulnerability analysis was done using Idriss-Boulanger’s simplified procedure based on SPT value in several spots. The Petobo liquefaction zone has seven boreholes, five of which are located near the Gumbasa Irrigation Canal. The soil sample at those boreholes was taken to the laboratory for further soil testing using grain size analysis. The simplified procedure is intended to calculate the safety factor using Cyclic Resistance Ratio, Cyclic Stress Ratio, and Magnitude Scaling Factor. The liquefaction vulnerability analysis resulted in the AB 1 – AB 3 area near Gumbasa Irrigation Canal, which liquefied. Meanwhile, LP 1 and LP 4 are contrary. LP 1 is located upstream of the canal, whereas LP 4 the downstream. Grain size analysis yields a consistent result that AB 1 – AB 3 soil is quite scattered inside the liquefiable constraint.