bluuebunny/crossref_metadata_2025_split huggingface dataset:
Partially Replacement of Cement By Sawdust And Fly Ash in Lightweight Foam Concrete
Authors: Omar M F , Abdullah M A H , Rashid N A , Abdul Rani A L 
Published: March 2020

Abstract
The rapid growth of population has led to increased demand for fast, affordable and quality housing development. Today, the construction industry in Malaysia has shifted from conventional methods to Industrial Building Systems (IBS). The most commonly used IBS component is precasat concrete with lightweight foam concrete. This study focuses on the main component of foam lighweight concrete, which is a partially replacement of cement by sawdust and fly ash. Among the features of lightweight concrete is density below 1800 kg/m3. Therefore, the objectives of this study is to determine the effects of sawdust and fly ash as part of cement replacement in terms of mechanical properties (compressive strenght) and physical properties (water absorption). In addition, this study also determine the optimum percentage of cement replacement by sawdust and fly ash in building material. The percentage of saw dust and fly ash used in this study as a partial replacement cement are 5%, 10%, 15% and 20%. The results show that increasing the percentage of mix propotion will increase the water absorption rate as well as decrease the compressive strenght of strength. Also, the density and compressive strength of lightweight foam concrete will decrease as the percentage of partial replacement cement increases. According to JKR Standard Specification for Building Works that referred in Malaysia, the minimum compression strength of lightweight foam concrete allowed for hollow blocks is 2.8 N / mm2. The results obtained from this study show lightweight concrete blocks using saw dust and fly ash as part of the cement replacement meet the standards and can be commercialized in the industrial building system development.
Application of Ionic Nano Particles in Fish Processing Wastewater by using Biochemical Treatment: A Short Review
Authors: Kamaruddin Mohamad Anuar , Teik Lim Ewe , Ismail Muhd Nazmi 
Published: March 2020

Abstract
Concerns of microorganisms growth in fish processing plants are crucial to the operation of the fish processing facilities. The presence of toxic microorganisms in the effluent could bring detrimental effects to the environmental and public health as several disease outbreaks could possibly take place with the release of infectious wastewater from the facilities. Environmental Quality (Industrial Effluent) Regulations 2009 published by Department of Environment Malaysia has clearly stated that the discharge limit of total coliform into water bodies that are safe for marine life, fisheries and human consumption must be not exceeded 600MPN/100 mL while for E.coli is not more than 400MPN/100mL. To cope with the laws and regulations, the industry has practiced several methods on disinfecting the effluent such as chlorination or ultraviolet treatment. However, the excessive use of such methods can cause deterioration to the environment as the by-products get released from the effluent are usually harmful to the natural systems of the environment. This paper aims to summarize recent progress on disinfectant methods that have been reported and published in the literature.
Study Of The Utilization Of Carbide Waste And Fly Ash On Geopolymer Paste
Authors: Bayuaji Ridho , Putri N S , Ming Liew Yun , Mohd Mortar Nurul Aida 
Published: March 2020

Abstract
Portland cement is made of the main ingredients are limestone / lime are included in natural resource that is not renewable. So that needs holding replacement with environmentally friendly materials one of which is of geopolymer concrete. Fly Ash is the waste coal combustion products also include natural resources that can not be refurbished Based on data obtained from PT. Z, carbide waste generated in a year on average around 1978.72 m3, it can be put to good use for waste carbide itself has a high CaO content. The composition of the material used in this study was 100% waste carbide, carbide waste 50%: 50% fly ash, as well as 100% fly ash and the activator used as NaOH and Na2SiO3. This study aims to determine how much influence the utilization of waste carbide and fly ash in geopolymer paste in the testing setting time, compressive strength, porosity, UPV, and permeability. The highest compressive strength besides there on the composition of a 100% fly ash is also present in 50% of waste carbide composition: 50% fly ash with activator ratio of 0.5 at the age of 56 days amounted to 39.59 Mpa. The use of fly ash in geopolymer still can not be eliminated 100%, due to the utilization of waste carbide can only be used as an additive or filler.
Analysis of the connection of a nickel-chromium alloy with dental ceramics after aluminum oxide abrasive blasting
Authors: Czepułkowska W , Wołowiec-Korecka E 
Published: March 2020

Abstract
Fixed prosthetic restorations in the form of ceramic crowns or bridges are characterized by good aesthetics and durability. The most important turn out to be the mechanical attachment of the ceramic material in the unevenness of the metal, formed after abrasive blasting. The aim of this research is to investigate the impact of abrasive blasting of a nickel-chromium alloy on the covering the unevenness with ceramics. In the research was used a Ni-Cr alloy (Heraenium® NA, Hera). The metal surface was blasted with alumina of variable size (50, 110 and 250 µm) and pressure (0.4 and 0.6 MPa), which was then fired with ceramics in the form of 2 layers of IPS Classic Opaque (Ivoclar Vivadent). Samples were hot mounting and cut to obtain a cross-section of the connection. The samples was examined under a Scanning Electron Microscope. The results show the presence of air bubbles at the metal-ceramic interface and in the layers of ceramic material. The photographs show a difference in the appearance of the unevenness of the metal surface by comparing samples after blasting with an abrasive of different sizes. No significant differences in the appearance of metal roughness are observed when comparing samples after treatment with the same grain size and different pressures.
Numerical simulation of phase transformation during gas quenching after low pressure carburizing
Authors: Krupanek Krzysztof , Sawicki Jacek , Buzalski Victoria 
Published: March 2020

AbstractLow pressure carburizing followed by high pressure gas quenching is often applied to steel elements in order to increase their strength and durability, but undesirable distortions are also formed due to this process. In order to minimize these distortions, the Vacuum UCM furnace manufactured by SECO/WARWICK conducted by single piece flow method is proposed. A refined simulation that describes the quenching phenomena with enough accuracy can reduce the project and optimization costs as it replaces the trial and error method. The goal of this study was to create a computer model that can predict the behaviour of the phase transformations that occurs at 4D quenching chamber after low pressure carburizing in single piece flow technology. First, an investigation about the simulations that has been developed in this area was done. Based on physical phenomena involved in this process, a numerical scheme was created; The numerical scheme was applied to the real steel element that was submitted to the single piece flow technology process; The numerical simulation was compared with the experimental data. As a result, a numerical model able to simulate phase transformation after complex chemical-heat treatment in the single peace flow technology was obtained.
Automatic Gate System Based on Water Flow Within the Intake of a Micro-Hydro Power Plant
Authors: Pangaribuan P , Aprillia B S , Wibowo A S 
Published: March 2020

Abstract
The micro-hydro power plant is an alternative to provide electricity especially in regions that are far from the PLN network. The micro-hydro power plant uses water flow to generate electricity. The micro-hydro power plant uses a gate that is utilised to distribute water to the turbine. However, the watergate is commonly controlled manually which results in drawbacks such as unfavourable stabilization and the need for direct monitoring that requires lots of constant expense as well as labour. The objective of this research is to make equipment that can work automatically in substituting a labourer’s role in opening and closing the watergate according to the required water flow. A water flow sensor is used to measure the water flow, the result of the sensor reading is carried on to microcontroller (set up as Fuzzy Logic Control) and Controler sends the control signal to the actuator (DC motor). The Fuzzy Logic method as the watergate controller is used as the research’s prototype system. Based on the data acquired by the research that has been done, the system is oscillated towards the change of the water flow. However, it’s capable to approach the set value point. It can be seen from the water flow trial with a set point of 3 L/min the steady-state response of system undergoes at range of 2,92 L/min–2,95 L/min and with a set point of 3,5 L/min, the steady-state response of system undergoes at range of 3,44 L/min - 3,47 L/min.
Design of Automatic Switch System of Residential Load From Solar Cell and Power Plant Resources using Neural Network
Authors: Silalahi D K , Aprilia B S , Priharti W , Kumillayly K , Saidah S 
Published: March 2020

Abstract
Residential loads are electronic equipment that is often used at home. Residential loads are supplied from two sources, they are solar panel and the State Power plant. Selecting the supply load source, so an automatic switch system is needed from the load. Optimizing residential load resources and avoiding overloading, load balancing techniques are needed. The switch system uses a relay, determined by the solar panel power output. This research discusses the design of automatic load switch systems for residential loads from solar panels and State Power plant using Artificial Neural Networks (ANN). ANN control system that is arranged using ANN Backpropagation consists of 4 inputs, four hidden layers, each consisting of 4 neurons and one neuron in the output layer. In this research, to determine the network that has been formed to provide changes of load. The results of testing that the parameters used to get the smallest error rate in the process of setting an automatic power load switch is best to use a number of repetitions of 2000 times with an error percentage 5.3%. Artificial Neural Networks can experience convergent failure or not close to output because the initial guess is not good. Initial experiments with actual solar panel data with as many as 98 data produced non-convergent output values. The solution to improving the initial experiment is to simplify learning data 40 data produces convergent output.
Coil Inductance Design for Low Power Hybrid Wireless Power Transfer
Authors: Kurniawan T A , Gumilang R B , Wibisono G 
Published: March 2020

Abstract
This paper presents a coil inductance design for low power hybrid wireless power transfer (WPT). The proposed coil inductance design of transmitter and receiver circuits of 7.1 μH are designed using handmade copper wire structure. Several coils with the variations of wire diameters, coil loop radius, and numbers of loops are proposed to find optimum structure in the low power hybrid WPT. The optimum coil structure is obtained at wire diameter of 0.5 mm, 2.25-inch coil loop radius and 1 MHz operation frequency. The measured transceiver coil design has exhibited peak power transfer efficiency (PTE) of 33.1% at 1 cm distance between Tx and Rx. Therefore, the proposed coil design is applicable to low power hybrid wireless power transfer circuits.
Simulation and Analysis of ANFIS (Adaptive Neuro-Fuzzy Inference System) for Music Genre
Authors: Pratama A H , Dwiono W , Tamam M T 
Published: March 2020

Abstract
Music comes in many different genres and styles according to its content, which is easy for a human listener to distinguish but hard for a machine to do. This limitation encourages the creation of a system that can help a computer to classify music genre better. This paper proposed a simple method that can classify music genre on a classical, jazz, pop, and rock using frequency analysis feature extraction and ANFIS classification method. There are two types of ANFIS model, which is model A and model B. The most accurate model, is model A with an average accuracy of 53,33% across all genre. The best model for single genre classification is Model B with 80% accuracy for Classic type.
Applying Data Mining to Analysis of Mismatch Between Education and Labor Market in Indonesia
Authors: Tentua Meilany Nonsi , Winarko Edi 
Published: March 2020

Abstract
One of the labor problems in Indonesia is the occurrence of mismatch (incompatibility between education and job). The incompatibility of education and job (labor market) can be categorized into several criteria such as vertical mismatch, horizontal mismatch, overqualification, under qualification, over skilling, under skilling, credentialism and economic skills. In several countries, analysis of mismatch between education and labor market can be used with several methods such as the Maximum Likelihood equation, the Mincer-type income equation, and the use of clustering algorithms in data mining. Indonesia can adopt a method of measuring the mismatch between education and labor market which suitable with the condition in Indonesia. The use of the K-Means algorithm or the hierarchical clustering algorithm will be able to see how much mismatch is occurring in Indonesia. Clustering is carried out referring to the Republic of Indonesia’s Presidential Regulation No. 8/2012 and the Indonesian Classification of Work (KBJI).
Logical Acquisition in the Forensic Investigation Process of Android Smartphones based on Agent using Open Source Software
Authors: Aji Mukhlis Prasetyo , Hariyadi Dedy , Rochmadi Tri 
Published: March 2020

Abstract
Smartphones have an architecture with integrated components. Maintain the process of procuring digital goods on smartphones when asking for special assistance. According to the National Institute of Standards and Technology the process of procuring digital evidence on mobile devices There are 5 levels of acquisition: Manual Extraction, Logical Extraction, Hex Dumping / JTAG, Chip-Off and Micro Read. Which means buying digital evidence using logical acquisition methods or logical extraction still approved in SNI ISO 27037: 2014 also supports the process of procuring logistical permits in Special requirements, limited space. Dengen uses the live procurement method for logical acquisition on smartphones using AFLogical OSE can be obtained digital proof in the form of Contact List, Call Log, SMS and MMS. The use of digital proof Larons can be obtained through basic data from the application installed on the smartphone.
The Stemming Application on Affixed Javanese Words by using Nazief and Adriani Algorithm
Authors: Soyusiawaty Dewi , Jones Anna Hendri Soleliza , Lestariw Nora Lestari 
Published: March 2020

Abstract
The Javanese language has various forms of affixed words. It makes people from other regions find it difficult to understand the Javanese language. One of the ways to understand the Javanese language is by studying and understanding Javanese vocabulary in the Javanese language dictionary or learning directly from ones who master the Javanese language. Both offline and online dictionaries have not been able to translate affixed words. This research used Nazief and Adriani Algorithm to find out the stems/root words in the Javanese language. The objective of this research is to apply the Nazief and Adriani Algorithm in stemming affixed words in the Javanese language. The subject discussed in this research is the application of stemming affixed Javanese words by using Nazief and Adriani algorithm. The stages started with identifying the affixes in the Javanese language. Nazief and Adriani algorithm has five steps those are detecting words that have affixes, cutting words that contain inflection suffixes, derivation suffixes and derivation prefixes, and last recording. The result of this research is a stemming application for affixed Javanese words that applies Nazief and Adriani algorithm method. Based on the accuracy test, it appears that 93.6% of words are accurate from the total of 219 words tested.
Design of Pond Water Quality Monitoring System Based on Internet of Things and Pond Fish Market in Real-Time to Support the Industrial Revolution 4.0
Authors: Junaidi A , Kartiko C 
Published: March 2020

AbstractPond cultivation is one of the contributors to foreign exchange and employment in Indonesia. The results of pond aquaculture production in Indonesia, according to statistical data in 2016, amounted to 3,012,467 tons, and the area of fish ponds in Indonesia in 2016 was 674,135 ha. The factors that lead to crop failure are illness, theft, poor water quality, and natural disasters such as floods. This research provides a solution called the Internet of Things Ponds (I-Tamb). I-Tamb applies the Internet of Things (IoT) technology to monitor water quality and the pond environment by installing several sensors. This study also aims to reduce crop failure and make it easier for farmers to market their crops. The cloud server receives sensor data in real-time. I-Tamb Apps produces information that can be used by farmer farmers as material for decision making. I-Tamb also facilitates the sale of crops in the form of a marketplace called the I-Tamb Marketplace. The output of this study is the design of an IoT-based pond water quality monitoring system on mobile and web applications.
The Effect of Olive Oil Composition on The Staining Quality of Klowong Batik Wax
Authors: Dulmalik  , A Chafid Z , Setiadi H , Khaliq F N 
Published: March 2020

Abstract
Batik is visual art that integral to the cultural identity as well as illustrates the life values upon which the life of the community is laid. It uses a technique of wax-resist dyeing applied to whole cloth. This research aims to know the composition of olive oil that required on batik Klowong and to know its effect on the results. The research used both qualitative and quantitative methods such as ingredients measurement technique, questionnaire distribution and voter calculation. The wax for batik Klowo ng consists of olive oil, resin, and white paraffin. The beeswax is an independent variable that is varied in the composition for five different samples (10 grams, 20 grams, 30 grams, 40 grams, 50 grams). The sharpness of the motifs is visually analysed by six respondents. The results showed that sample D and E have better quality than the other samples. While sample A has the highest level of motifs sharpness.
Ultrafiltration of Laundry Wastewater Using Natural Zeolite-PVA Hybrid Membrane
Authors: Ma’ruf A , Fathoni M A S Al , Purnawanto A M , Astiyani I 
Published: March 2020

Abstract
The laundry wastewater produced by laundry service becomes a pollutant of the water. The main characteristics of laundry wastewater are a high value of BOD dan COD. This research is aimed to study the utilization of ceramic hybrid membranes for laundry wastewater treatment. The ceramic hybrid membrane was produced from natural zeolite that coated with polyvinyl alcohol (PVA). The results show that the average percentage of the decreasing value of BOD reaches 83.37% and the average percentage of the decreasing value of COD is 89.86%. Based on turbidity, the higher rejection is obtained at the pressure of 5 bars with the value of rejection of 96.85%.
Characterization and ultrasound-assisted activation of Indonesian natural zeolite from Cikalong West Java Province
Authors: Pamungkas Regawa Bayu , Djaeni Mohamad , Jos Bakti , Wancuh  
Published: March 2020

Abstract
Natural zeolite activation from Cikalong, Tasikmalaya Regency, West Java Province, Indonesia, has been investigated experimentally. The activation process is carried out with a solution of sodium chloride (NaCl), which is utilized by ultrasound cavitation. The purposes of this research are to determine the effect of variation of process variables on the physical-chemical characteristics of zeolites. There were two variables studied, namely; sonication time and NaCl concentration. The study was conducted with the one factor at a time (OFAT) method, which is observing responses to changes in one variable at other constant. The range of sonication time of 20 - 60 minutes, while the NaCl concentration is 0.25N - 4N. Natural zeolites and activated zeolites are then characterized using SEM, XRF, FTIR, iod number, and cation exchange capacity to test their physical-chemical characteristics. Characterization results showed that activated natural zeolite had better quality than natural zeolite. The results of the SEM analysis showed the crystal type of natural zeolite minerals in the form of elongated crystals and others, which indicate the shape of quartz and mordenite. XRF analysis results prove that the elements of Ferrum, calcium, magnesium, and potassium are cations that can be exchanged with other metal elements. The results of the volumetric analysis showed an increase in iodine number and cation exchange capacity, along with an increase in sonication time and decreased along with the increasing of NaCl concentration. Based on these properties, zeolites have excellent performance as an adsorbent.
Analysis of Flood Discharges of Serayu River at Serayu Barrage using HSS Gama I and Nakayasu Models
Authors: Marhendi Teguh , Fathurohman  
Published: March 2020

Abstract
Serayu River, located in the central of the Java island, is one of the largest rivers in the island. The length of the river to the control point of the Serayu barrage is 118.276 km and the basin areas is 3001.73 km2. The aim of the research was to analysis flood discharge in the Serayu river at Serayu Barrage. The analysis of flood discharges on the Serayu River would use the HSS Gama I and Nakayasu models. The result of research shown that f flood discharges using the Nakayasu model Qp = 18.833 m3/sec and HSS Gama I model Qp = 59.953 m3/sec. by using rainfall intensity of 7.431 mm / hour, the peak discharge with the Nakayasu model Qp = 139.156 m3/sec and HSS Gama I model Qp = 445.509 m3/sec.
Effect of Combination of Steel Fibre and Silica Fume on the Mechanical Strength of Concrete
Authors: Sofyan M , Wicaksono B , Irlan A O 
Published: March 2020

Abstract
Concrete currently consists of several types. Among them are Fibrous Concrete, Lightweight Concrete, SCC Concrete, Hollow Concrete etc. All have advantages and disadvantages to each. The use of various types of concrete is adjusted to the needs of construction. In this research, fibrous steel concrete with a combination of silica fume will be the main object to be studied. So far, fibrous concrete has been actively studied in various countries. From the results of previous studies, fibrous concrete can improve the quality of concrete, especially reducing the brittle nature and initial cracking in concrete. While Silica Fume can increase the compressive strength of concrete. The main objective of this study to determine and understand the mechanical properties of concrete with a combination of steel fibre and silica fume such as compressive strength and split tensile strength. The percentage of steel fibre percentage used in this study is from 0 to 3 per cent, while the percentage of silica fume used is l0 per cent by weight of cement. The results of a study are the optimum compressive strength is in the DFl variation with the percentage of silica fume l0 per cent and 0 per cent steel fibre. The use of steel fibre combined with silica fume does not significantly affect the compressive strength. Although it tends to decrease the compressive strength. The strength of tensile strength obtained ranges from 11 to 14 per cent of the compressive strength.