bluuebunny/crossref_metadata_2025 huggingface dataset:
The BOW image retrieval algorithm based on the longest common word string constraint
Authors: Me Mingyu , Zhang Jiangzhou , Li Yang , Wang Shuai
Published: February 2021

This paper adds the spatial and semantic relations of the "visual dictionary", the longest common visual word string constraint in the image based on the BoW model. The image is represented at the vocabulary level and the phrase level at the same time. This algorithm can better represent the content of the image, thereby improving the quality of image retrieval. Experiments verify that compared with the BoW model, the accuracy of the BoW image retrieval model based on the longest common word string constraint is well optimized.
A hybrid tool-path with no pause generation algorithm for 3D printing
Authors: Zhang YU , Li Haochen , Wang Tongcai , Liu Bingshan , Wang Gong
Published: February 2021

With the development of the manufacturing industry, 3D printing has gradually become a focus of attention due to its unique advantages such as fast speed and low threshold. As an important part of the printing process, scanning path planning directly affects the quality of the molded part. Based on the existing path research, this paper proposes a new filling algorithm, which uses the idea of Fermat spiral to achieve continuous filling, and the contour offset, partition and some unfilled areas are optimized respectively. Finally, the new algorithm is tested on common graphics to prove its superiority.
Resource Allocation Algorithm for Physical Layer of Broadband Power Line Carrier Communication Applied to Electric Internet of Things
Authors: Yin Xiyang , Yan Long , Lv Guoyuan
Published: February 2021

Broadband power line carrier communication adopts adaptive orthogonal frequency division multiplexing OFDM technology to effectively increase the communication rate, and provides ample communication resource guarantee for the realization of power multiservice applications. Aiming at the problem of broadband power line carrier communication resource allocation, this paper proposes a low-complexity physical layer resource allocation algorithm. First, based on the equal power allocation method, the set of subcarriers required by each user to meet their minimum rate requirements is determined, and the multi-user resource allocation problem is reduced to a single-user optimal power allocation problem, and then the Lagrange multiplier method is used to optimize the power of the sub-carrier set used by each user to further improve the system throughput. Experiments show that the algorithm in this paper has higher throughput and can meet the minimum rate requirements of more users.
Estimation Method of Line Loss Rate in Low Voltage Area Based on Mean Shift Clustering and BP Neural Network
Authors: Tan Huang , Li Yuan , Yu Liang , Liu Jing , Ni Linna , Diao Xinping
Published: February 2021

The main problems faced in the line loss management of the distribution network are the incomplete meter configuration, the difficulty of collecting operating data, and the excessive number of components and nodes. These problems lead to a very complicated calculation of line loss rate. This paper proposes an improved BP neural network estimation method for passive low voltage area line loss rate driven by low voltage area characteristic data, and realizes it through programming. First, the characteristic data required for calculating the line loss rate of the low-voltage passive station area is selected and classified according to the station area capacity after standardization. The BP neural network model improved by Mean Shift clustering method is used to calculate the line loss rate for the station area data of the same capacity, which provides scientific basis and data support for the calculation of the station area line loss rate and the management of high-loss stations in the future. A passive low-voltage station with a capacity of 315KVA in Zhejiang Province was used as the modeling object to perform simulation calculations to verify the accuracy of the proposed method.
Sufficient Context for Real-Time Semantic Segmentation
Authors: Fan Borui , Wu Wei
Published: February 2021

In recent years, the research on semantic segmentation has progressed rapidly, and many segmentation models with good effects have emerged, but these models often require a large amount of parameters. In actual application scenarios, the computing resources and memory of the device are limited, so the research on lightweight real-time semantic segmentation has very important practical significance. In this paper, we propose SDSNet, which is mainly composed of SDS module that includes some SDS-units. SDS unit is based on split-shuffle and dilated convolution, which can get sufficient context by increasing the interaction capability between channels and expanding the receptive field without increasing the amount of calculation.Our network combines the high feature generated by the SDS module with low-level spatial information, yielding a perfect segmentation results. Experiments on CityScapes prove that the proposed SDSNet achieved a comparable result to the state-of-the-art models.
PMSM parameter identification based on improved PSO
Authors: Li Zongwei , Chen Dongdong , Chen Ying , Lei Hongdan , Zhu Hongguan
Published: February 2021

The results of the standard PSO algorithm are easy to fluctuate and the time-varying error is too large. By introducing the strategy of Gaussian decline and Gaussian disturbance, an improved PSO motor parameter identification method is proposed. When the motor parameters change, the improved PSO method can be used to identify the motor parameters faster, more accurate and more stable. The simulation results show that the improved PSO overcomes the recognition results of the standard PSO and improves its recognition accuracy.
Effect of Different Solvents On The Phytochemical Compounds of Sargassum sp. From Yogyakarta and East Nusa Tenggara
Authors: Herawati Dheasy , Pudjiastuti Pratiwi
Published: February 2021

Sargassum sp. is one of the brown algae species. Two species of Sargassum were collected from Deere coast, Alor East Nusa Tenggara (NTT), and Krokoh beach, Gunung Kidul Yogyakarta. This paper compares the phytochemical screening of two species of Sargassum sp. by using three different polarity solvents. The two species of Sargassum sp. were dried, cut, and ground into powder. Their species were extracted successive using ethanol, ethyl acetate, and n-hexane. Phytochemical screening all of the extracts of Sargassum sp were performed with the spot tests as the standard methods. The ethanol extracts of Sargassum sp. from Yogyakarta and NTT showed the presence of saponins, tannins, terpenoids/steroids, and flavonoids. The ethyl acetate and n-hexane extract from the two species of Sargassum sp. have contents of tannins, terpenoids/steroids, and flavonoids. Tannins and terpenoids/steroids were major compounds in ethyl acetate extract both Sargassum sp. from Yogyakarta and NTT. Results showed that different solvents possibly different phytochemical compounds. Phytochemical of seaweed is influenced by species, habitat, isolation method, and harvest season.
Forecasting Unemployment in North Sumatra Using Double Exponential Smoothing Method
Authors: Syafwan Havid , Syafwan Mahdhivan , Syafwan Elvathna , Hadi Aulia Fitrul , Putri Pristiyanilicia
Published: February 2021

The reseach aims to predict the unemployment in the province of North Sumatra in 2020 using the Double Exponential Smoothing (DES) method. The data used is derived from the Central Agency Statistik (BPS) of North Sumatra province where the actual data is taken within 20 years from 2000 to 2019. The accuracy method in this research uses MAD to count the number of errors, MSE to evaluate forecasting methods, and MAPE to calculate the percentage of errors. Results of this research in the form of forecasting the number of unemployment in North Sumatra in 2020 that is 381459 people in the value of alpha 0.6 with a MAD value of 77402.12, MSE value of 12524690448.31, and MAPE value of 16.35%.
Employee Performance Analysis using Analytical Hierarchy Process and Weighted Product Combinations Algorithm
Authors: Agus Raja Tama Andri , Sembiring Muhammad Ardiansyah , Sibuea Mustika Fitri Larasati , Mardalius  , Nata Andri
Published: February 2021

One of the efforts to improve employee performance is through giving gifts to employees who have good loyalty and performance. Decision making to determine the best employees can be done by the company by assessing the performance that has been done by its employees within a certain period. Employee performance evaluation at Azaria Café & Resto is influenced by several criteria, namely cleanliness, hospitality, accary, equipment maintenance, product quality, speed. The purpose of this study is to combine AHP and weighted product methods to determine the priority of the award recipient employees. The method used in this research is AHP (Analytical Hierarchy Process). Through AHP, priority criteria will be assessed that will be used in alternative dating. The calculation of the AHP method gives the result that is the order of importance of the best criteria and recommendations of employees with an accuracy rate of 96.2%, where the order of the most important criteria starts from product quality, cleanliness, accreditation, equipment maintenance, speed, and hospitality. And employees who were recommended as the best employees using weighted Product method (WP) for Azaria Café & Resto is an employee with high value, Arif (27.4%).
Application of data mining techniques using the K-Means Method on Unmet Need of Health Services by Province in Indonesia
Authors: Wahidin W , Mugihartadi M , Aviani Tri Hasanah Bimastari , Pratiwi Heny , Wijaya Yusup Indra , Andie A , Windarto Agus Perdana , Waluyo Ari
Published: February 2021

The research objective is to cluster the Unmet Need of health services in Indonesia by region by utilizing data mining techniques. The data source was obtained from the Central Statistics Agency (abbreviated BPS) in the health category using Unmet Need data on health services by province (2015-2018) consisting of 34 data records. The variable used is the Unmet Need of health services by province (percent). The data mining technique used is k-means which is part of clustering. Data processing is performed using RapidMiner 5.3 software. The cluster labels used in the study are high cluster (C1) and low cluster (C2). The results state that the application of k-means can be carried out where 9 provinces are in cluster C1 consisting of Riau, West Nusa Tenggara, East Nusa Tenggara, Central Kalimantan, South Borneo, Central Sulawesi, Southeast Sulawesi, Gorontalo and West Sulawesi with final centroids (C ) = 6.96 and 25 provinces are in cluster C2 with final centroid (C) = 4.36. The results of mapping in the form of regional clusters can provide information for the government and should Unmet Need health services in Indonesia must be worth 0% for each region.
Application of the Simple Multi Attribute Rating Technique (SMART) Method in the selection of thrush medicine products based on consumers
Authors: Darmowiyono Mulyanto , Yuliyanto Wakhid , Purnomo Kardianto Indra , Marlini Wenny , Pratiwi Heny , Windarto Agus Perdana , Wijaya Harma Oktafia Lingga
Published: February 2021

The purpose of the research is to analyze marketing strategies in the selection of Mouth sores products based on consumers. The data source was obtained by observing, interviewing and giving questionnaires to 375 respondents randomly by using Google Form. The output of the research is the ranking of Mouth sores products. The technique used is utilizing one of the decision support system methods, namely Simple Multi Attribute Rating Technique (SMART) in providing recommendations for results. The alternative thrush medicine products that are used are: Adem Sari (A1), Jesscool (A2), Alangsari (A3), Larutan Penyegar cap Kaki Tiga (A4) and Larutan Penyegar cap Badak (A5). The rating criteria given are Composition (C1), Packaging (C2), Taste (C3), Price (C4) and How to use (C5). The results of the SMART method calculation give the first recommendation is Alangsari (A3) with a final value = 0.84 and Jesscool (A2) as the second recommendation with a final value = 0.45.
Clustering of Public Opinion on Natural Disasters in Indonesia Using DBSCAN and K-Medoids Algorithms
Authors: Mustakim  , Fauzi Muhammad Zakiy , Mustafa  , Abdullah Assyari , Rohayati
Published: February 2021

Natural disasters are disasters caused by events or series of events caused by nature such as earthquakes, tsunamis, volcanic eruptions, floods, tornadoes, and landslides. Some of these natural disasters have taken a lot of public attention, from empathy, sadness and criticism that form an opinion on social media. One of the most popular social media used by the public is Twitter. Opinions written by Twitter users are called tweets. A collection of tweets can be processed to obtain information by using data mining techniques namely Text Mining. In this study, the Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm and K-Medoids were used. The result of this study shows that DBSCAN is the best algorithm because it has the Silhouette Index (SI) validity of 0.9140 and the average execution time in RapidMiner Studio is 83.40 seconds. Meanwhile, the K-Medoids algorithm has a Silhouette Index (SI) validity of 0.2259 and an average execution time in RapidMiner Studio 849.93 seconds. The frequency of the word “earthquake” dominates for the positive category, the word “disaster” dominates the negative category, and the word “flood and earthquake” dominates the negative category.
Analysis of Decision Support System with Analytical Hierarchy Process Method
Authors: Adnan Ahmad Zaelani , Holili Moh. Hidayatul , Indrawan Bisma , Wahyuningsih Sri , Prasastono Sri Heneng , Windarto Agus Perdana , Waluyo Ari
Published: February 2021

Many factors can increase work motivation besides income and profits. The leadership style in a company also greatly influences work motivation in the work environment. This study aims to analyze the leadership style that most influences work motivation by utilizing decision support systems (DSS) techniques. Sources of data were obtained by observing, interviewing and giving random questionnaires at the Tirtauli regional water company (PDAM) in Pematangsiantar. The DSS technique uses the Analytical Hierarchy Process (AHP) method. The criterion variables used in the study were Directing Style (K1), Participation Style (K2), Supporting Style (K3), Achievement Style (K4) and Delegation Style (K5). The results of the AHP method analysis show that the most influential leadership style in motivating work is the delegation style of a leader (K5) with a final value of 0.6326 and a directing style (K1) with a final value of 0.4861. The results of the research can be used as input to the leader in applying a leadership style so as to increase motivation in the work environment to achieve company goals.
The Implementation of Probabilistic Neural Network Algorithm for Classification of Family Hope Program in Pekanbaru City
Authors: Novita Rice , Anzir Qumfa , Mustakim  , Alhidayatillah Nur , suriani Julis
Published: February 2021

The poverty rate in Indonesia continues to increase, especially in Pekanbaru city. It was recorded in 2017 the poverty in Pekanbaru City reached 176.908 inhabitants. The poverty can be seen from the Education Factor, Economic Factor, Health Factor and Infrastructure Factor. This aim of this study is to classify beneficiary of poverty from education and health factors using the PNN Algorithm. The criteria used for the classification of education classes and health classes include elementary, junior high, high school, toddlers and pregnant women. The data used in this study were from the Harapan family program in Pekanbaru City. In clustering training data and test data, K-Means Algorithm was used. The results of the clustering are 3,543 test data and 1,520 testing data with DBI value of 0.194 and the result of calculation of Probabilistic Neural Network algorithm with accuracy value is 99.07%. In testing the algorithm using the confucion matrix method, the recall value is 99.30% and the precision value is 97.81%. The high level of health and education is an important factor in the development and progress of an area.
Application of Analytical Hierarchy Process Method for SQM on Customer Satisfaction
Authors: Yusuf Ramayani , Damayanti Fenny , Purnomo P , Suryana Aep Tata , Kartikaningsih Dewi , Windarto Agus Perdana , Waluyo Ari
Published: February 2021

The research objective was to analyze service quality management on customer satisfaction by utilizing decision support system (DSS) techniques in the completion process. The research data source is the Regional Drinking Water Company (abbreviated as PDAM) “Tirtauli” in Pematangsiantar city. The object of the research is the customers / users of PDAM services which are carried out by means of random observations and questionnaires. The DSS technique used is the analytic hierarchy process (AHP) method. The result of the method is a recommendation in the form of a ranking of service quality management on customer satisfaction. The criteria used to measure customer satisfaction in research are physical evidence (K1), reliability (K2), responsiveness (K3), assurance (K4), care (K5). The calculation results of the AHP method state that two very influential criteria in improving service quality management on customer satisfaction are assurance (K4) with a final value of 0.1929 and reliability (K2) with a final value of 0.1912. The results of the research are expected to provide information and input to the management of PDAM Tirtauli in improving service quality management in order to achieve customer satisfaction.
University Level Management Toward Industrial Revolution 4.0 using COBIT 5 Framework
Authors: Hartati Seri , Syamsuadi Amir , Arisandi Diki
Published: February 2021

The Industrial Revolution 4.0 (IR 4.0) has escalating the demands for accountability and transparency for every organization, yet changing the organizational design paradigm. Adaptive power and fast responsive are the critical points In RI 4.0 to achieve the vision and mission of the organization. This is a challenge for organization such as universities to adapt in the era of disruption. The transformation of educational organizations is become the preference toward an excellent public services oriented and preparing the competent human resources in their expertise. This research propose a formulation for universities to investigate the readiness of the university to prepare the era of RI 4.0 using Cobit 5 Framework. The descriptive method with a qualitative approach are conducted in this work. By using purposive and snowball sampling from Universities in Riau, we found the Universities was on the level of managed process. The results can be delivered to the university as an outlook of readiness toward disruption era in the IR 4.0.
Development of Radio Frequency Identification (RFID) in the Campus Parking System based on Microcontroller
Authors: Hidayat Rahmad , Rushendra  , Afiyah Salamatul , Sufyani Rosyidin , Adani Farhan
Published: February 2021

In a conventional parking system that is currently still widely used, vehicle owners must show the parking card or the receipt for the parking hours, so that the fee will be paid. In this experimental study, a parking system was developed by utilizing Radio Frequency Identification (RFID) technology based on a microcontroller control system. The use of this technology makes it possible to make a subscription parking system that is served automatically and flexibly by a parking lot. RFID has data information that can be used as a user’s identity to enter the parking area. In this research, parking system design and implementation were made by simulating a miniature portal door system to enter and exit vehicles on campus using RFID cards/tags as subscription IDs. AT89C51 microcontroller is used as a system controller. By using this RFID technology, the parking subscription system becomes more flexible and faster.
Utilization of the field of data mining in mapping the area of the Human Development Index (HDI) in Indonesia
Authors: Rahmat Adi , Hardi H , Syam Febrizal Alfarasy , Zamzami Z , Febriadi Bayu , Windarto Agus Perdana
Published: February 2021

The Human Development Index (abbreviated as HDI) is an indicator used by a country to measure success in efforts to develop human quality. The purpose of this research is to make HDI mapping in areas in Indonesia by utilizing data mining techniques. Source of data used comes from official data from the Indonesian Central Statistics Agency (https://www.bps.go.id/) consisting of 34 data records (2018-2019). Indicators used in mapping are Life Expectancy at Birth (X1), Expectations of Old School (X2) and Average Length of School (X3). The data mining technique used is part of clustering, namely K-Medoids. The analysis process uses the help of RapidMiner software 5.3. Determination of the number of clusters (k) in the mapping using the Davies Bouldin (DBI) parameter with a maximum value (k = 4) = 0.856. By using four mapping labels (C1 = “very high” group; C2 = “high” group; C3 = “medium” group; C4 = “low” group), the results of C1 = 5 province; C2 = 16 provinces; C3 = 10 provinces and C4 = 3 provinces. Based on the results of the mapping of regions in Indonesia, Indonesia’s HDI is still far behind when compared to countries in ASEAN. In the future, this will be submitted to the government to make HDI a priority because it involves the welfare and quality of Indonesian people.
A Technology Acceptance Framework Inside the Indonesian Online Learning Platform
Authors: Harja Yuda Dian , Ambarwati Rita , Handiwibowo Gogor Arif
Published: February 2021

The user’s acceptance of the technology is one of the big moves towards progress in online network technology. It is, therefore, essential to recognize the factors which influence the success of technology acceptance. This research attempts to establish the value of online learning technologies. Within this analysis, the acceptance factors of OLP technologies are evaluated using an updated UTAUT2 model. This work is a quantitative analysis with an interview method in which respondents would have used the technologies of the OLP. The anticipated outcome of this research is the most critical factor in embracing the OLP technology, which will then be used by the technical providers of the OLP to make strategic decisions for further growth.
Automobile Insurance Processing using Deep Convolutional Networks
Authors: Rajkumar R. , Neema Ronhit , Chaitanyanathreddy N. , Varun G. , Govinda K.
Published: February 2021

We focus on automating the task of automobile insurance processing using Deep Convolution Networks, due to the limited data we find that using transfer learning and using variational Auto encoders to find features works well, we have created four models, classification of car or not, classification of whether car is damaged or not, classification of where the damage has occurred and the severity of the damage respectively. We show different methods that can be used in performing car damage analysis and this paper is not an exhaustive search over the entire domain car damage insurance and claims processing. This paper records the different techniques we have employed in order to analyze the car damage.
Comparison of Knowledge-Based Reasoning Methods to Measure the Effectiveness of Diagnostic Results
Authors: Ramadhan Puji Sari , Marsono  , Hutagalung Juniar , Syahra Yohanni
Published: February 2021

This study describes a comparative analysis of methods in knowledge-based reasoning which aims to determine the best and optimal method in producing a diagnosis of a disease. The methods to be compared are Bayes’ Theorem, Certainty Factor, and Euclidean Probability. The three methods were chosen because they can generate hypotheses from several existing possibilities, this can be seen from the many uses of these methods in previous studies. With this research, it can be used as material for consideration or support in producing a diagnosis conclusion. The process of testing the comparison of these methods is carried out by selecting the highest diagnosis result value and performing a comparative analysis using exponential techniques. The results of this test indicate that the Euclidean Probability produces an accuracy value of 75%, then the Bayes Theorem obtains an accuracy value of 62% and the Certainty Factor obtains an accuracy value of 87%. In addition, the results of the comparison of methods using exponential techniques show that Euclidean Probability gets 84%, then Bayes’ Theorem gets 78% and the Certainty Factor gets 87%. With these results, it can be concluded that the Certainty Factor is better than Euclidean Probability and Bayes’ Theorem in diagnosing disease.
Impact of queue tree and layer 7 filtering combination to bandwidth management in 802.3 Network
Authors: Ichsan Aulia , Suherman  , Erna B Nababan , Al-Akaidi Marwan
Published: February 2021

Bandwidth management on commercial local area network should be maintain as efficient as possible so that users connections experience best performances and are treated equally and fairly to support business activities. Unsuitable bandwidth management may cause unstructured user management and lead to bandwidth degradation during busy hours. Some users may occupy network more than the others. Some existing works have proposed bandwidth management approaches. This paper combines queue tree and layer 7 filtering by applying traffic priority, committed information rate (CIR) as well as applying specific data pattern to preserve bandwidth. As results, at the evaluated network, the combined method guarantees in average 2 mbps bandwidth for upload/download traffic with average CIR 250 kbps per client. The ICMP test produces average 20 ms delay which is in excellent category. Average jitter 18 ms and packet loss is zero. Further, specific data pattern implementation is able to preserve the total 20 mbps available bandwidth without omitting the CIR guarantee in each client.
Analysis of Groundwater Quality in Dusun Salam and Randuacir, Argomulyo District
Authors: Vina N , Harling Van , Tobi Markus Dwiyanto
Published: February 2021

Groundwater quality is very much influenced by soil type, soil content, and water flow pattern in the soil. Dusun Salem and Randuacir are hamlets not far from the final garbage dump in Salatiga. This research was conducted to determine the condition of groundwater in Salam and Randuacir hamlets, Randuacir Village, Argomulyo District. The samples were taken as many as 19 wells and the sampling was done randomly by disproportional stratification. To determine water quality, the data from the measurement results of heavy metals [Copper (Cu2+), Manganese (Mn2+), and Zinc (Zn2+], chemical and bacteriological parameters of well water are compared with drinking water quality standards according to Government Regulation No. 82 of 2001 concerning Water Quality Management and Water Pollution Control. Meanwhile, the physical parameters are compared with the Regulation of the Minister of Health of the Republic of Indonesia Number 32 of 2017 concerning Environmental Health Quality Standards and Water Health Requirements for Hygiene, Swimming Pools, Solus Per Aqua, and Public Baths. To determine the level of groundwater pollution, the Pollution Index (IP) is used according to the Decree of the State Minister for the Environment No. 115 of 2003. Based on the results of the study, it can be concluded that: 1) Of the 19 wells in Salam and Randuacir hamlets, there are 3 wells (15.79 %) contaminated with Cu2+, Mn2+, and Zn2+, 2 wells (10.53%) were contaminated with Cu2+ and Zn2+, 6 wells (31.58%) were contaminated with Mn2+ and Zn2+, and the remaining 8 wells (42.10%) were contaminated with Zn2+; 2) Based on the pollution index (IP) of the 19 wells studied that are within a radius of less than 1 km and more than 1 km, all wells are lightly polluted (100%).
Compressive Strength, Permeability and Porosity Analysis of Pervious Concrete by Variation of Aggregate and Compacting Method
Authors: Sanjaya Nico , Saloma  , Hanafiah  , Juliantina Ika , Nurjannah Siti Aisyah
Published: February 2021

Pervious concrete is one of the innovation from conventional concrete which has interconnected void, thus enabling it to drain water. Compared to conventional concrete, pervious concrete has different physical and mechanical characteristics, but composed by the same material which is Ordinary Portland Cement (OPC), coarse aggregate, water, fine aggregate, and admixture. The use of fine aggregate in pervious concrete mixture is limited due to the fine aggregate can block the interconnected pores thus lowering the permeable ability of the pervious concrete. The objective of this research is to analyze the characteristics of the pervious concrete which is compressive strength, permeability, and porosity with variation of aggregate and compacting method. The pervious concrete mixture consists of 15%, 20%, and 25% of fine aggregate variations and standard rodding, proctor Hammer, and concrete vibrator as the compacting methods used. The amount of cement used on each mixture is 360 kg/m3, w/c = 0.3, and admixture as much as 2.8% of the cement used. The slump, compressive strength, and porosity test is based on ASTM Standard, while the permeability test is based on ACI Standard. The maximum compressive strength test result is 13.103 N/mm2 achieved by the mixture with 25% fine aggregates and compacted using concrete vibrator. The permeability test result ranged from 0.053 cm/s to 1.192 cm/s, and porosity ranged from 2.261% to 41.083%.
Prototype Design of Wireless Electric Energy Transmission System and Distance Electric Recording Record System Using PZEM004T and NRF24L01 Module
Authors: Tobi Markus Dwiyanto , Van Harling Vina N
Published: February 2021

Electrical energy can not be separated from the name kWh Meter, a tool used to measure and record the amount of electrical energy usage has a shortage of kWh meters can not be monitored remotely how much energy is used, so it is rather inconvenient for PLN officials to check the use of electricity for postpaid customers. This research was conducted to design a prototype of a wireless electrical energy transmission system and design a wireless electrical energy recording system using the NRF24L01 wireless transmitter module and the PZEM004T kWh meter module. The design in this study uses the principle of electromagnetic induction to transfer electrical energy at close range, while to transmit data, the authors use the NRF24L01 module. Besides, the authors use the PZEM004T module to measure various magnitudes. Based on the results of observations and measurements of the design of the tool, the authors found that the transmission of electrical energy using electromagnetic induction is not effective for longer distances because the energy lost in the air is getting bigger. So this technology needs to be further investigated. Besides, the measurement of electrical quantities using the PZEM module has a small difference (under 2%) with measurements using a multimeter, so it can be said that the measurement with the PZEM004T module is effective
Transient Voltage Programming in Electric Power Grounding System
Authors: Syafruddin R , Herawati YS , Ramady Givy Devira , Hidayat Wisnu , Lestari Ninik Sri , Anung
Published: February 2021

Liner equations with n variables can be solved if there are n equations, the matrix is formed n x n square matrix, using the inverse matrix method. In this research, the linear equation used comes from the rod and mesh grounding system method, which is solved by the finite element method to calculate the grounding impedance, from the results of other research researchers. Here the researcher wants to inform in this study how to solve the linear equation with a calculation program. And the research results are plotted in Cartesian coordinates V = V (t). The results of this calculation program can be used to estimate how much the transient voltage is in the ground rod / mesh in the place where the electrical power system substation will be built when lightning strike with an amplitude of 34 kA/switching with a current of 34 kA/step with a current of 34 kA crash it. To adjust the transient voltage by adjusting the length of the finite element, required in accordance with the applicable safety level, while the subsequent arrangement can by increasing the number of mesh or increasing the length of the mesh.
Quality Control of Frame Production Using DMAIC Method in Plastic PP Corrugated Box Manufacturer
Authors: Tannady Hendy , Purwanto Edi
Published: February 2021

Corrugated carton boxes as a storage for products is common use in industry nowadays, corrugated carton box has many advantages, hardiness, air resistance, more neat and strong. To produce this corrugated box, it needed a frame to support the edge of the carton to make it stronger. This study was conducted at one of the pp corrugated manufacturers in Indonesia. The company oftenly receive complaints caused of quality problems of the frame. Research aimed to provide quality improvement using DMAIC (defining-measuring-analyzing-improving-control) as analysis method. The results of study concluded that the causes of defect consist of several factors, human factors, poorly trained of machine operators. The second cause is the engine factor, the barrel screw used has an incorrect temperature and rotation speed of the screw is inappropriate. The third cause is the material factor, dirty materials that was entered the machine affected the size of materials produced. Improvements carried out using design of experiment and standard operation procedures.
Compressive Strength and Microstructural of Palm Oil Fuel Ash-Fly Ash Based Geopolymer Mortar
Authors: Humaedi Muhammad Dwi Caesar , Saloma  , Hanafiah  , Iqbal Maulid M.
Published: February 2021

The infrastructure develops very rapidly, along with the increase of market demand for cement, but there is a problem of cement production. Cement production can produce hazardous wastes of CO2. CO2 can cause greenhouse effect. The amount of CO2 produced by cement production is equal to the amount of cement produced. To overcome these problems, it needed to look for alternative materials for cement substitution. Geopolymer is an alternative material that can be a replacement or substitution for cement. Geopolymer can reduce CO2 wastes generated by cement production and also can reduce industrial generated waste such as fly ash and palm oil fuel ash. In the manufacturing of geopolymer, this study used fly ash and palm oil fuel ash acting as precursor and also Na2SiO3 and NaOH as activator solution. This study aimed to examine the effects of the ratio of alkali activator in this case is Na2SiO3 and NaOH to microstructure of geopolymer mortar with fly ash and palm oil fuel ash precursor. This study used a variation of 75%:25%, 50%:50%, 25%:75% precursor compositions and variation of alkali activator ratios of 1.5, 2.0, and 2.5. This study used the concentration of NaOH of 14 M. The results showed that along with the increase in concentration of Na2SiO3 and NaOH, the structure seen on the mortar becomes denser and the greater fly ash content in the mortar precursor mixture the structure also become denser.
BCM PIN Read Conversion Application on Intelligent key Vehicle registration on Android Based
Authors: Sujana Ahmad , Mahardika Andrew Ghea , Herawati  , Muntiyono  , Afiyah Salamatul , Hidayat Rahmad
Published: February 2021

Intelligent-key registration is a process of registering smart remote vehicles so that the vehicle security system is not misused. The application of the conversion of pin-read BCM has been designed to run on android with a smart device that uses the media app developer inventor. This application made to allow intelligent-key registration was a conventional stage in registration in the process. But, using this application registration intelligent-key so more efficient and effective. Developed with an evolutionary prototyping method of development. With a model test in testing and behavior of testing was definitely black box uml. An application that is built enough to fulfill its sales target in the spare part, help when processing intelligent-key registration, and easily used for emergency service.
The Relationship Between the Electromagnetic Field Amplitude and its Frequency in a Single Photon
Authors: Goenawan Stephanus Ivan
Published: February 2021

The current theory in physics states that amplitude, namely the amplitude of the electric and magnetic fields, is continuous. It is proposed in this paper that these two types of amplitude can be quantized. This study reports that the amplitude of the electromagnetic field is discrete. Two methods were used to generate an equation of the discrete amplitude of the electromagnetic field, namely the Maxwell’s theory of Electromagnetic Field and the Einstein’s theory of the photoelectric effect. According to the results of the theoretical analysis, the lowest amplitude of the electric field and the lowest amplitude of the magnetic field depend on the magnitude of frequency of the electromagnetic field. The study concludes that in a photon containing an electromagnetic field amplitude equal to the E-Goen or B-Goen constant is multiplied by the square of its frequency.
Role of using some Hybrid Nano-Fillers on the Strength and Creep Resistance of Fiberglass/Epoxy Composit
Authors: AL-Hassan Raad Abd , Al-Ameen Ehsan Sabah , Nassir Layla M.
Published: February 2021

The effect of adding hybrid nanomaterials (multi-walled carbon nanotubes (MWCNT) with calcium carbonate (CaCO3)) was studied and compared with the effect of adding only one of those nanomaterials and without any addition on creep behavior at 40 ° C and constant applied load. Two different additives weight ratios were studied (1% and 2%) from the weight of epoxy. Three layers of Bi-directional (0-90) glass fibers used as reinforce material the epoxy matrix. vacuum bag technology and sound wave device were used for samples preparation according to the standards. The Samples were tested with crawl tester designed and manufactured according to engineering specifications and standards. The results showed that there was an improvement in the creep behavior and a high creep resistance of the samples with the hybrid nanocomposites compared to the neat samples.
Compared with Angle –ply and Cross-ply Natural Fiber Orientation Pipe under Thermal Load
Authors: abdulla Fadhel Abbas , Bader Sura Thaar
Published: February 2021

Experimental and analytical Solution using classical shell theory solve by Matlab software was used to found thermal stresses under thermal load for natural composite materials pipe. Jute fibres were used in this work and reinforcements with polyester-resin. The experimental work including the manufacturing of the test samples (jute fibres/polyester) with different types of fibres orentiation (0°, 45°, 90°) by resin casting method. The volume fraction is 40%. Tensile and thermo-mechanical test were performing to find the mechanical properties of the specimens The results showed that Angle –ply fiber orientation natural composite had the highest strain and stress compared with cross-ply fiber orientation natural composite.
Cracks Evaluation of Reinforced Concrete Structure: A Review
Authors: Zaki Ahmad , Murdiansyah Lukman , Jusman Yessi
Published: February 2021

Many reports state how serious the problems associated with cracking in reinforced concrete (RC) structures worldwide. The cracking can cause damage and destruction to RC structures. The cracks are the damage to RC structures that require repair or replacement. Analysis of the damage level as early as possible on the RC structure cracks can reduce the greater impact and streamline the cost of repairing the concrete structure. Therefore, non-destructive testing (NDT) method is needed on the RC structure, namely: visual inspection technique. The image obtained from the visual inspection is then analyzed using image processing. After that, the concrete structure with cracks is tested for quality (compressive strength) using the rebound hammer technique with a rebound index. From the image processing and rebound index results, the damage from the cracks that occurred can be concluded so that the repairs become more effective and efficient.
Remote Sensing Analysis of Lineaments using Multidirectional Shaded Relief from Digital Elevation Model (DEM) in Olele Area, Gorontalo
Authors: Abduh A G , Usman F C A , Tampoy W M , Manyoe I N
Published: February 2021

The Gorontalo fault zone is an active fault that crosses Gorontalo Province with a movement of about 11 mm/year. The existence of this fault zone affects the morphological lineaments and offsets along its path and increases the potential of geological disaster hazards. The Olele area is located in the Gorontalo fault zone that makes it potential to landslide disaster. This study aims to analyze the lineaments of the Olele area and its surroundings. The results of this analysis will help to determine the geological structures distribution pattern that develops in the study area and its impact on the mitigation of landslide disasters in the study area. This study uses a spatial analysis method using Digital Elevation Model (DEM) image to analyze slope and lineaments data in the study area. The results of the analysis will be correlated with regional geological structures and give recommendations for geological disaster mitigation that can be implemented. The results showed that the slope class in the study area was dominated by the range of 16-35° and even in several places with a slope of 35-55°. The results of the extraction and processing of lineaments data get 203 data. The lineaments direction is relatively NNW - SSE. This direction indicates that mostly the morphologies are influenced by the existence of the Gorontalo fault zone. The existence of the Gorontalo fault zone makes this area prone to landslide disasters in the case of Gorontalo fault movement. Some prevention recommendations are to increase the slope stability level.
On Vertice and Edge Regular Anti Fuzzy Graphs
Authors: Nusantara Toto , Rahmadani Desi , Hafiizh Mochammad , Dia Cahyanti Elita , Bin Gani Abdullah
Published: February 2021

The concept of regular fuzzy graphs has many applications, especially in jobs that involve network distribution, such as electricity, gas, and energy. In this article, we introduce the degree of vertices, the total degree of vertices, the degree of edge, the total degree of edge, the regular anti fuzzy graphs, and the total regular anti fuzzy. We derived some basic properties of regular and total regular anti fuzzy graphs, included the comparison of both troughs some various examples. We also showed the necessary and sufficient conditions under which their equivalence. We described some properties of regular anti fuzzy graphs and examined for totally regular anti fuzzy graphs.
Improving Students’ Mathematical Argumentation Skill Through Infusion Learning Strategy
Authors: Tristanti Lia Budi , Nusantara Toto
Published: February 2021

This study aimed to develop infusion learning strategy to improve students’ mathematical argumentation skill. One problem of mathematical learning in college was that students had low competence to solve problems, particularly in argumentation. To cope with that issue, therefore, infusion learning strategy was developed. It aimed to assist students in improving their argumentation skills. The stages of infusion learning strategy were based on theory of argument by Walton. This study applied Research & Development (R&D) method with procedures of development by Borg & Gall which had been modified into 10 stages, but it was restricted to 6th stage. The instrument of this study used validation sheet, test of mathematical argumentation, and interview guidelines. The result referred to a valid product of infusion learning strategy which implementation could improve students’ mathematical argumentation. Another result of this study found that students’ argumentation skill progressed/improved.
Analysis of Intensity, Duration, and Frequency Rain Daily of Java Island Using Mononobe Method
Authors: Faradiba
Published: February 2021

The importance of analyzing rainfall is expected to help in handling disaster-prone areas, so that the consequences can be minimized. This study aims to determine the intensity of rain in the short term. The data used in this study is the annual rainfall data in Java for 2005 - 2019 for each province. The method used in this study is the Mononobe Method to see the intensity of daily rain and its daily return period. The results of this study indicate that the intensity of rain during the duration of one hour to three hours decreases quite significantly, but at the duration of four to eight hours the decrease in rain intensity is not as big as the decrease in the duration of one hour to three hours. The highest rainfall intensity is in the one hour duration in West Java Province. However, the intensity for the five to eight hour duration tends to be the same for 6 provinces in Java. The rainfall threshold in Java is included in the category of heavy rain. High rainfall intensity lasts for a short duration, on the other hand, rainfall with low intensity tends to occur over a relatively long duration.
Problem Based Learning using Open Educational Resources to enhance Higher Order Thinking Skills in Physics Learning
Authors: Sulisworo Dwi , Fakhrunisyah  , Basriyah Khusnul
Published: February 2021

This research aimed to find out the difference of higher-order thinking skills in terms of learning motivation and ICT literacy between students experiencing PBL (Problem Based Learning) assisted with open educational resources and those experiencing PBL without open educational resources. This research is a quasi-experimental with a pretest-posttest control group design. The population was eighth-grade students. The sampling technique used cluster random sampling. Variables in this research included an independent variable of the PBL model assisted with open educational resources, a dependent variable of higher-order thinking skills, and covariates of learning motivation and ICT literacy. Data collection used tests in the forms of question instruments, learning motivation questionnaires, and ICT literacy questionnaires. The data analysis technique used N-Gain and ANCOVA. The result of the research shows the difference of higher-order thinking skills between students in the experimental class that implemented the PBL model assisted with open educational resources and those in the control class that implemented the PBL model without open educational resources. This can be seen from the average score of the N-Gain test of the experimental class that is 0.35 with a moderate category while the average score of N-Gain of the control class is 0.29 with a low category. Therefore, there is an influence of the PBL model assisted with open educational resources on higher-order thinking skills.
Development of Smart Card Media for Elementary Students
Authors: Audia Cita , Yatri Ika , Aslam  , Mawani Sri , Zulherman
Published: February 2021

Learning medium is a means of communication to ease the transfer of messages during the learning process. Continuous innovation in the learning process shall be conducted to increase the quality of education. This research and development form of research aims to develop the Smart Card media on conservation of living beings subject and know the smart card media qualification on conservation of living beings subject for 4th-grade elementary students. The development of the smart card uses the ADDIE development model, which involves five stages that includes Analysis, Design, Development, Implementation, and Evaluation. The data is collected by distributing questionnaires of the Likert scale with the range from 1 to 5. The analysis technique of this research uses quantitative data analysis and qualitative data analysis. The result of validating the smart card qualifications by material experts, media experts, teachers, and participants shows that the smart card’s use in the conservation of living beings subject is qualified to be used for 4th-grade students of elementary school as an alternative learning media.