bluuebunny/crossref_metadata_2025_split huggingface dataset:
Telaga Kenyamukan generating discharge analysis with Thomas-Fiering method for North Sangatta raw water needs
Authors: Risdina Febria Nur , Atmodjo Pranoto Samto , Sachro Sri Sangkawati 
Published: June 2020

Abstract
The Telaga Kenyamukan as a raw source of Kudungga WTP is studied to determine the water availability. Historical data used in hydrological analysis are sometimes incomplete or have a short time period, so the results may not match the conditions in the field. Hydrological analysis in this study used rainfall data from Pit-J and AB Station from 2005 to 2016, and climatology data from the Sepinggan Meteorological Station from 2005 to 2016. The discharge was analyzed by Mock method, then generated up to year of 2038 with the Thomas-Fiering method and obtained the dependable flow with the monthly basic method in a 90% probability, resulting in 467l/sec. The water requirements are calculated by projecting the population for the next 20 years, with the results of the RWC (Regional Water Company) total water demand in 2019 amounting to 259.99 l/sec and increasing up to 2038 to 630.32 l/sec. With a water balance analysis, the water availability in the next 20 years in meeting needs is in a surplus condition, but in RWC water supply systems which depend on Water Treatment Plant capacity, since 2028 the WTP capacity must be increased due to a deficit of -12.57 l/sec.
IPAG60 as Alternative Solution to Provide Clean Water in Peatland Areas
Authors: Atmana Sutapa Ignasius Dwi , Prihatinningtyas Eka , Daryanta  
Published: June 2020

Abstract
Peatland areas generally have raw water with different characteristics compared to ordinary raw water. Peat water is acidic (pH 2 – 4), blackish brown in colour (250 – 600 TCU) and contains various other pollutants so it cannot be processed with conventional technology. The aim of this paper is to publish the capability of IPAG60 to treat raw peat water. This technology uses a simple and applicable process in producing processed water that is suitable for clean water and drinking water according to quality standards. The formulation of the purifying material applied was able to remove organic matter and other pollutants with high efficiency (more than 90%). The results of research conducted on several types of peat water coming from different locations such as Kalimantan and Sumatra show that IPAG60 is capable to treat peat water into clean water meeting the standards. The use of IPAG60 is not only limited to treating peat water, but also for various conditions of inland surface water.
Rain Garden Model for Stormwater Management in Sentul City, Bogor, Indonesia
Authors: Syafriana Amira , Arifin Hadi Susilo 
Published: June 2020

Abstract
Developing area is a multidimensional process and often has minimum attention in water management aspect. Sentul City is an example of an area in Bogor Regency that is growing rapidly but has problems in water management. The limitation of raw water is caused by the lack of groundwater and frequent disruption in the water distribution system. This causes the raw water supply depends on the Local Water Company of Bogor Regency. In fact, Sentul City has the potential to conduct independent raw water from its high rainfall. Therefore, rainwater harvesting is needed through stormwater management, one of its application is by the rain garden. The objective of this paper is to present the research result of the rain garden model recommendation that is suitable to be applied in Sentul City. The used methods are mapping the existing site conditions, analysis of the rain garden suitability, calculate the rain garden dimensions, and modeling the rain garden. This study conducted in Lake Indah, Lake Teratai, Siliwangi Street, M.H Thamrin Street, and Plaza Niaga 1. The rain garden analysis and dimensions are affected by the soil, topography, catchment area, and runoff volume of the site. The required rain garden surface area is 171.50 m2 at Lake Indah, 312.48 m2 at Lake Teratai, 6,449.88 m2 at Siliwangi Street, 6,573.01 m2 at M.H Thamrin Street, and 896,51 m2 at Plaza Niaga 1, while the required rain garden depths are 15-30 cm and 45-60 cm. The rain garden model is designed based on the form, inflow and outflow design, planting media, and plant aspects. Thus, the results of rain garden models are different according to the conditions of each site.
Sustainable household water-saving and demand management options for Kabul City
Authors: Shokory J A N , Rabanizada E 
Published: June 2020

Abstract
Increasing water demand has led to water scarcity in many urban areas in the arid and semi-arid regions. Indeed, population growth and the expansion of urban and industrialized areas have put great pressure on water resources. Currently, Kabul city is facing groundwater shortage, which is the main source of potable water. Due to rapid urbanization and population growth, and climate impacts, the groundwater level is lowered (∼ 1m/year), which has led to many wells drying out in recent years since 1998. Therefore, this study focuses on alternative options to sustain water resources and achieve water sustainability through implementing water-saving practices, including tapping new water resources (rainwater harvesting), and some of the options (faucet aerators, low-flow showerheads, and dual flush toilets), others as gray-water reuse. To analyze the potential of rainwater in Kabul city, long-term precipitation data from 1960-1980 and 2006-2013 from several stations around the city are used. The rooftops of the dwellings assumed to account for 30% of the total land area, according to the State of Afghanistan City 2015 report. Moreover, existing household water efficiency is compared to the most efficient available technologies. The result indicated 346 mm annual average precipitation, and 38.0 million m3/Year the potential precipitation volume that could be harvest from dwellings rooftops in Kabul city. Moreover, the rainwater harvesting could produce an average of 29 L/capita/day (LCD) of water for domestic usage, with a maximum of 75 LCD in February, a minimum of 5 LCD in September, and an annual 9593 L/capita/year (LCY). If we manage the maximum months, then it could produce the full domestic usage (38.1 LCD) until July. Furthermore, in terms of demand management, we have performed a case study on Macrorayon’s (1st, 2nd, 3rd, 4th) apartments that if low flow fixtures were utilized, how much water could be saved? The Macrorayon Department estimates the service population of its system at 100,000 people, the volume of consumption calculated to be 12,500 m3/day (125 LCD). Results show that after application of low flow fixtures, per capita consumption can be reduced to 57 LCD, 2.08 MCM/Year would be saved; and an additional population of 119,298 people would be covered by water supply. The result of this study is essential for policymakers to adopt current and future water challenges in Kabul city.
Inclusive and sustainable community development and poverty reduction: An empirical study of Sindh, Pakistan
Authors: Iqbal A , Khan A A 
Published: June 2020

Abstract
The underdeveloped communities and multi-dimensional poverty are the most common dilemmas of developing countries. The study aimed to determine the inclusive and sustainable community development and poverty reduction, empirical evidence of the selected districts of the Sindh, Pakistan. The research has surveyed in five districts of Sindh and collected data from 230 respondents. The research is based on quantitative investigation through primary data collection from five selected districts of Sindh province of Pakistan, followed by descriptive and inferential analysis on SPSS. A total of three research questions representing different aspects of integrated and sustainable community development and poverty reduction are answered from the results. The study has explored that inclusive and sustainable community development and multi-dimensional poverty has significant positive relationship. The research also points to the significance of the livelihood creation on community development and poverty reduction. A set of recommendations is outlined from the results for effective and efficient policymaking in poverty reduction and community development.
Industry 4.0: Eyeing The Future via Simulation
Authors: Ibrahim Aisyah , Asmawaty Abdul Kadir Tuty , Kamaludin Adzhar 
Published: June 2020

Abstract
Industry 4.0 is a future agenda. Currently, Industry 4.0 has paved the way in many industries around the world. Many initiatives have been put forward and assessed to ensure Industry 4.0 is becoming a reality. Although widely discussed in the both academic literatures and industrial publications, Industry 4.0 is encapsulated with many terms since it’s inception. Some of the terms are not self-explained and often overlapped or even contradicted with similar terms in different perspectives. To demystify the issue, this paper begins with a brief overview of Industry 4.0 background including its importance and readiness. It reviews not only the technological concept with the support of nine pillars of prominent technologies, but also including the human resources as the driver behind the Industry 4.0. Dedicated section on how simulations can contribute to Industry 4.0 in ways where simulation applications can be combined with each Industry 4.0 pillars, including human resources are also presented. This paper is written in general view of Industry 4.0 so that it is easier to relate with not only with manufacturing sectors (which where Industry 4.0 was originally intended for) but also with other sectors.
Improvement of the POLISAS e-Request Transcript System using Query Optimization
Authors: Hariz bin Ibrahim Mohd , Awang Suryanti , Moorthy Kohbalan 
Published: June 2020

Abstract
This paper is about the improvement of the E-Request Transcript system used by POLISAS to be a systematic and effective system. The improvement is implemented to solve the current problem, whereby, students need to access the E-Request Transcript system according to the graduation session in individual file. This situation makes it difficult for the administrators to access more than one E-request transcript system if the application is from different sessions. It is because of the data-access issues to generate reports. To achieve the system improvement, an integrated database using the query optimization technique is implemented. Next, the query statement is analysed to produce an optimum performance. Research results show that the technique is able to improve the query time processing, thus resolving the issues discussed. A user acceptance test for this system consists of a black box test and a beta test has been deployed. A black box test was conducted to test the main menu functions in the E-Request transcript and is found to be able to succeed. Furthermore, the beta test is carried out using a survey form distributed to all students who have graduated. Survey questionnaire showed that 57% of respondents were satisfied using this system and 14% were very satisfied with this system. All respondents have provided a good scaling rate for all items assessed. For overall system assessment, the mean score obtained is 3.78 which is interpreted as a good rate based on the scale of interpretation used. In conclusion, this system has met the needs of consumers as well as simplifying their business based on surveys conducted.
Dengue Innovation: A Sustainability Approach for Preventing and Controlling of Dengue Diseases Outbreaks via IoT Technology
Authors: Man Mustafa , Aezwani Wan Abu Bakar Wan , Chee Hwa Lim , Nural Jawahir Wan Mohd Yusoff Wan , Afenddi Mat Nor Mustafa , Mohd. Noor Mohd. Irfan Hakim 
Published: June 2020

AbstractDengue is a mosquito-borne viral disease that is surging and becomes worldwide serious issues. Currently, due to lack of specific treatment or vaccine against dengue, many forms of vector control remains a key strategy for dengue fever prevention. In response to the issue, this paper introduces an AedesTech Mosquitoes Home System (AMHS) that is equipped with a special trade secret formulation or also called as Insecticide Growth Regulator (IGR) and combines with Internet of Things (IoT) technology for vector control. An IGR is a pheromone-like liquid formulation that is a chemical that serves to stimulate and have sexually attract the male and female that will attract and lure adult female mosquitoes to lay eggs in them, and the adult mosquitoes will soon die after lying eggs. Those eggs that already laid with the chemical will not hatch or die at an expected of 99% rate, or go beyond the pulp level. Our sustainable approach offers for two (2) novel features. First, to monitor the collection of Aedes eggs in our MHS, we develop a mobile apps called AedesTech Apps (ATA) for Aedes eggs auto-counting and data collection are stored in cloud based server. Second, to monitor the level of liquid formulation (IGR) in AMHS, we utilize an Arduino water based sensor to real time track the IGR level status and we called as Intelligent Mosquito Home System (iMHS). Our iMHS will automatically alert the user when refill is needed. Both technologies are related to IR 4.0 that could be a new approach for preventing and monitoring of dengue outbreaks. This sustainability approach are environmental friendly and cost saving that provide the solution to the world’s global issue of dengue. The results by our ATA tool indicate a satisfactory figure with only 0.01 to 0.04 percent of error rate compared to existing ICount and EggCounter tools. Meanwhile in our iMHS with water based sensor, testing results reveal that the battery lifetime solely depends upon the setting of interval time of sending data to cloud server. Results show for a half an hour interval, battery could last for a half of a month whereas for an hour interval time set, it could last for a month.
Text-based emotion prediction system using machine learning approach
Authors: Ab. Nasir Ahmad Fakhri , Seok Nee Eng , Sern Choong Chun , Shahrizan Abdul Ghani Ahmad , Abdul Majeed Anwar P. P. , Adam Asrul , Furqan Mhd. 
Published: June 2020

Abstract
Text-based input becomes a common channel for humans in sharing their opinions/emotions to the product or service through online social media, shopping platform etc. Humans are easy to make errors in interpreting emotions, especially the emotion that derived from text based. The main aim of this study is to develop text-based emotion recognition and prediction system. Several market challenges facing in the advancement of emotion analysis with accuracy being the main issue. Therefore, four supervised machine learning classification algorithms such as Multinomial Naïve Bayes, Support Vector Machine, Decision Trees, and k-Nearest Neighbors were investigated. The model was developed based on Ekman’s six basic emotions which are anger, fear, disgust, joy, guilt and sadness. Data pre-processing techniques such as stemming, stop-words, digits and punctuation marks removal, spelling correction, and tokenization were implemented. A benchmark of ISEAR (International Survey on Emotion Antecedents and Reactions) dataset was used to test all models. Multinomial Naïve Bayes classifier resulted the best performance with an average accuracy of 64.08%. Finally, the best model was integrated to graphical user interface using Python Tkinter library to complete the whole system development. Besides, the detailed performance of the best model such as tf-idf and count vectorizer, confusion matrix, precision-recall rate, as well as ROC (Receiver Operating Characteristic) score were also discussed. Text-based emotion prediction system to interpret and understand human emotions was successfully developed.
Implementation of Data Mining In Predicting the Study Period of Student Using the Naïve Bayes Algorithm
Authors: Wahyuni Sri , Marbun Murni 
Published: June 2020

Abstract
The period of study of students is one of the parameters in the assessment of accreditation of university. Pembangunan Panca Budi University as one of the best institutions in North Sumatra needs to predict the period of study of students in order to know the strategies implemented so that students graduate on time. This study predicts the period of study using the Naïve Bayes Data Mining Algorithm method to students of the Pembangunan Panca Budi University of Computer System study program bachelor program with a study period of 4 years. Application designed using Naïve Bayes algorithm that works based on the shortest distance between two objects by determining the value of k. The value of k is a parameter to determine the closest distance between a new object and an old object. The data used as variables are student academic data, GPA for the first from 4 semesters, the average value of the National Examination during high school, and majors during high school. The results of the study showed that the data mining application that was designed could predict the period of study of students at the Pembangunan Panca Budi University.
Meta-Requirement Mapping Model
Authors: Idaham Umar Ong Muhamad , Ariff Ameeden Mohamad 
Published: June 2020

Abstract
The challenges faced by software vendor in competing for tenders in todays are massive and are desperately in need of intervention by the kind people of the research community. With very small resources available at their disposal, it is a daunting task them in the pursue to gain new software development projects each time new tenders are coming out. The objective of this publication is to propose an initial model that utilizes meta-requirement as a medium to validate the User Requirement Specification document that is included in the RFT. Looking forward, an algorithm will be developed for realizing the associations that was define in the propose model.
Factors Determination MOOCs Continuance Intention: A Proposed Conceptual Framework
Authors: Abdul Rahman N S , Wan Zainal Adli N S , Mat Raffei A F , Ismail N S N 
Published: June 2020

Abstract
Massive Open Online Courses (MOOCs) recently start to gain its popularity at most universities and the number of MOOC has increased. Despite its popularity, previous study shown that low course completion rate and limited amount of studies in examining antecedents which influence students’ continuation intention in using MOOCs. Thus, this study aims to propose a conceptual framework to figure out the factors determinant of MOOCs continuance intention among students in Malaysian higher education. By reviewing the related studies, factors namely perceived ease of use, perceived usefulness, attitude, motivation and continuance intention were identified.
A Code Profiling Model for StART
Authors: Mohd Sidek Roslina 
Published: June 2020

Abstract
Test case selection in software testing is one of the process that support to quality in finding bug. Decreasing number of bug may increase quality of software. Many strategies have been proposed by researcher for software testing. Specially to avoid exhausted testing which all the testers take into account which may increase time and performance. One of the strategy is StART. The code profiling is a part of StART, which is a selection test cases strategy using code profiling. The strategy is based on the adaptive random testing and support with code profiling in the strategy. The aim of this paper is to show the code profiling model. The selection of domain area to test is based on the highest probability in the code profiling result. The probability of in the code profiling is calculated and the highest value to be chosen as the first area to test. The value to be chosen as a domain area for the first to be tested in SUT. This model used AspectJ as case study to show the model can be implemented for a new programming paradigm. Tetris selected as case study to show the model flow. From the case study of Tetris, the model shows the area to be tested first is in the package Gui, for aspect menu and advice after the probability value shows the highest result. For future study, this model need to test their efficiency of their strategy.
An Improved Image Steganography Scheme Based on RDWT and QR Decomposition
Authors: Ng Ke-Huey , Liew Siau-Chuin , Ernawan Ferda 
Published: June 2020

Abstract
This paper demonstrates an improved image steganography that hides grayscale secret image into grayscale cover image using RDWT and QR decomposition. The proposed scheme made use of the human visual system in the information hiding process. Both cover and secret image are being divided into non-overlapping image blocks with identical block size. Entropy values generated from every image block will be sorted from the lowest value to the highest value. The embedding process starts by embedding the secret image block with lowest entropy value into the cover image block with lowest entropy value. The process goes on until all image blocks have been embedded. Embedding secret image into cover image according to the entropy values causes differences that HVS can less likely to detect because of the small changes on image texture. The proposed scheme gives higher PSNR values and better image quality.
Review of Hybrid Analysis Technique for Malware Detection
Authors: Kamalrul Bin Mohamed Yunus Yus , Bin Ngah Syahrulanuar 
Published: June 2020

Abstract
Malware is a problem spread out worldwide. Current techniques to analyze these malware are static analysis technique and dynamic analysis technique. Later, the two analysis technique is combined into a technique called hybrid analysis technique. This paper discusses on the current analysis technique and introduces a new approach towards the hybrid analysis technique by introducing memory analysis technique into it. The expected outcome of producing memory analysis technique in hybrid analysis technique will be discussed in the latter part of this paper.
The introduction of unmanned automotive vehicles in Russia
Authors: Filippova N A , Melnikova T E , Litvinenko R V 
Published: June 2020

AbstractThe article presents the modern concept of an unmanned vehicle according to the SAE classification. The features of use of unmanned transport, including its influence on traffic safety, efficiency of the organization of transportations and decrease in fuel consumption are considered. A brief overview of existing Russian developments in the field of unmanned road transport is given. The scheme of movement of an unmanned vehicle through the ice crossing using V2X technology is presented. The authors list the reasons of using unmanned vehicles on public roads.
The problem of manipulation and angular orientation of gripping devices of construction robots
Authors: Marsova E V , Benevolenskiy S B , Abdulkhanova M Uu , Ershov V S , Savelyev A.G 
Published: June 2020

Abstract
The article describes the method of simple kinematic connections, which allows to organize at the matrix level the solution of problems of spherical trigonometry and angular orientation, which is reduced to the decomposition of the original matrix description of the problem into a system of simple matrices, the sequential solution of which individually or in combinations, allows to produce unambiguous results in the absence of restrictions in the original data. The mathematical apparatus of homogeneous transformations makes it possible to calculate the values of angular reversals in all intermediate joints, from the first to the n-1st, uniquely determining their required spatial orientation, as well as the spatial orientation of the end section of the switchgear.