bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal model choice using AIC Method and Naive Bayes Classification
Authors: Mai Dam Sao , Hai Phan Hong , Khoi Bui Huy
Published: February 2021

The paper purposes to evaluate the optimal model choice of trademark, nutrition, price, packaging design, product flavor, utility, convenience, promotion, and safety of the purchasing decision in Vietnam. The method was implemented through quantitative research. Data was collected Vietnam consumers who are living in Ho Chi Minh City, usually eat products from the soursop. We used R 4.0.2 for analyzing statistics. The research model was suggested from the studies of the product purchasing decisions. We used R 4.0.2 for analyzing statistics. The results of this study indicate that the product flavor, safety, nutrition, and convenience had an important and positive effect on purchasing decisions the products from the soursop is 37.45%. Trademark, price, packaging design, utility, and promotion are not related to the purchasing decision. Implications were giving the necessity to develop the soursop trees to boost the economy in Soc Trang, Vietnam. Previous studies revealed that using linear regression. This study uses the optimal choice by the AIC method.
The application of successive overrelaxation method for the solution of linearized half-sweep finite difference approximation to two-dimensional porous medium equation
Authors: Lung Jackel Chew Vui , Sulaiman Jumat , Sunarto Andang
Published: February 2021

Successive overrelaxation or S.O.R. method is a widely known parameter-based iterative method that can regulate a large and sparse system of equations so that the number of iterations required to solve the system can be reduced. Many researchers have applied the S.O.R. method to get the solution to the mathematical problem efficiently. This paper extends the application of the S.O.R. method to solve one of the nonlinear partial differential equation, which is the two-dimensional porous medium equation. The S.O.R. method is incorporated into an iterative method that is formulated based on a half-sweep finite difference approximation, and the Newton-type linearization solves the nonlinear term that presents in the equation. The numerical experiment that uses this innovative numerical method to solve several two-dimensional porous medium equation problems shows significant improvement to the percentage of reduction in the number of iterations and computation time.
Mapping study using the unsupervised learning clustering approach
Authors: Azis Nur , Ali Yusmar , Subekti Rino , Junianto Pilifus , Diner Lispridona , Suhendra S , Aisyah Siti , Windarto Agus Perdana
Published: February 2021

The aim of this research is to analyze the number of criminal cases in Indonesia by utilizing unsupervised learning techniques. The unsupervised learning technique used is data mining by mapping clusters of regions in Indonesia. Sources of data were obtained from the Operations Control Bureau, National Police Headquarters of the Republic of Indonesia through processed data from the Central Statistics Agency (abbreviated as BPS) with data url: https://www.bps.go.id. The data mining method used to map the form of calcter is k-medoid. The data used is data on the number of crimes according to the regional police (2017-2019) which consists of 34 records. The attribute used is the number of crimes in the past three years based on the regional police for each province. The mapping label used is the high cluster (D1) and the low cluster (D2) on the number of criminal acts in Indonesia. The mapping analysis process uses the help of Rapid Miner software. In determining the amount of calcter (k = 2) is done using the Davies Bouldin Index (DBI) parameter with a value of 0.876 (the smaller the better). The results showed that six provinces were in the high cluster (D1) and twenty-eight provinces were in the low cluster (D2). The final centroid in each cluster is 16,008; 21,498; 21,616 (cluster_0 / D1) and 6,994; 7,311; 6,785 (cluster_1 / D2). The six provinces in the high cluster of criminal cases are North Sumatra, South Sumatra, Metro Jaya, West Java, East Java and South Sulawesi. The results of the research are expected to provide information for the government to reduce the number of criminal acts in Indonesia based on the number of clusters that exist.
Applying flower venn diagram for presenting database
Authors: Herlinda  , Bramantia Agi Candra , Kustian Nunu , Khasanah  , Ambarsari Erlin Windia
Published: February 2021

The Venn Diagram helps obtain information from several cases. Subsequently, we proposed a Flower Venn Diagram for tables organized and straightforward to present a Database. Flowers usually encountered anatomies such as petals, pistil (stigma, style, ovary), stamen (anther, filament), sepal, ovule, receptacle, and stalk. However, Flower Venn Diagram only takes two parts, namely petals and receptacle. The receptacle is a container centralized as tables link, tables itself referred to as petals. To construct a Flower Venn Diagram, it needs keys that have influenced for connecting petals and receptacle. However, when applied to SQL, we found that the Join clause was created sequentially for a Flower Venn Diagram establishment. It different when we used the Where clause; it constructs directly. When we add more another Flower Venn Diagram, we found that more complex and patterned. Therefore, All fields are conveniently searchable. Nevertheless, it needs to investigate further whether the data in the Diagram effectively
Android-Based application system for monitoring baby’s growth and development
Authors: Utomo Bedjo , Hamzah Torib , Soetjiatie Liliek , Mudjiono Urip
Published: February 2021

The use of Growth Chart (Kartu Menuju Sehat) all this time was conducted at Posyandu (Integrated Health Service Posts) for monitoring baby’s growth and development is not effective and efficient anymore since the cadres at Posyandu only record the baby’s height and weight that does not determine the nutritional status yet. Several studies on information technology to decrease the human error factors and optimum data storage has been widely developed via some applications, such as web server-based and android-based applications. This study aimed at developing an android-based application system of nutritional status assessment (NSA) for monitoring a baby’s growth and development using a weight-for-age index, weight-for-height index, height-for-age index. The method for developing this android-based application was using supporting devices, such as Android Studio and Visual Studio Code, as the Integrated Development Environment (IDE) and Flutter application as a unit of interface development (UI) and the development of database-driven applications, such as XAMPP software as a bundle for a web server, (Apache) and a database system (MySQL). The result of the study on designing an android-based application of nutritional status assessment at Posyandu could identify the menu of baby’s nutritional status assessment and the database for digital data storage. Furthermore, all in all, the use of this application can perform based on the instruction and be used for baby’s nutritional assessment at Posyandu. For further development, this application can be used for data synchronization in the programs of Posyandu at Public Health Centers.
Android Application for Crime Prevention with GPS Integrated Technology
Authors: Munandar Musthafa Haris , Nasution Ade Parlaungan , Kusno  , Indra Kumalasari M
Published: February 2021

Vigilance is a top priority in carrying out daily activities considering the number of various crimes that arise due to the increasingly rampant social conflicts regardless of economic class. During 2019, the crime rate in the Labuhanbatu police area (Labuhanbatu, Labuhanbatu Selatan, Labuhanbatu Utara) increased by approximately 10 percent from the previous year, and is still dominated by criminal theft with ballast, motor vehicle theft and drug cases, as for the case data in 2018 there were 4,412 cases and in 2019 4,663 cases. Based on the case, the researcher wants to help the community and the police in preventing crime, especially in Labuhanbatu. The research method used is descriptive method that is research based on actual data by comparing theories and then drawing conclusions. This research will create an Android-based application that helps the community and the police in preventing or overcoming crime. This crime alarm application makes it easy for people who use when a crime occurs because it can be accessed directly on the phone and help the police in handling crime.
Machine learning algorithm to identifies fraud emails with feature selection
Authors: Sinaga Anita Sindar , Munandar Musthafa Haris , Sitio Arjon Samuel
Published: February 2021

One percent of the emails that come in each day are fraudulent. Promotion emails tend to offer products. The recipient’s email is recorded by a company or organization. Not all promotional emails are considered spam or hoaxes. When observed, incoming promotional emails provide the information that is needed. How to identify promotional emails including hoaxes or shipping with machine learning, known as algorithms, Support Vector Machines, Naïve Bayes, Decision Tree, Logistic Regression, Stochastic Gradient Descent, and Neural Network (MLP). Decision trees are effective tracing using a data structure consisting of vertices & edges. A node (root, branch, leaf) can categorize incoming e-mail, including hoax or e-mail shipping. Previously, it was necessary to categorize the characteristics of the email. After searching the email, the promotional email grouping is continued. In Feature Extraction, the calculation of Gain and Entropy is used to determine the selection of features in the classification of promotional emails, fraudulent emails or hoaxes.
Improving cybersecurity awareness using phishing attack simulation
Authors: Chatchalermpun Surachai , Daengsi Therdpong
Published: February 2021

This paper aims to present a case study of the cybersecurity awareness level of the workers in a financial institution in Thailand. In this study, there were 2 phases of cyber drills using a spear-phishing email. The first phase was conducted with more than 20,300 workers. It was found that there were 23.25% of potential victims. However, the second phase was conducted four months later with more than 20,200 workers after performing knowledge transfer. The number of workers who opened phishing emails in the second phase decreased to 6.76% only. Therefore, it can be indicated that an appropriate cybersecurity knowledge transfer can reduce a large number of potential victims and cyber threats that may occur in such organizations.
Developing web apps based on multi-criteria decision making and user preferences
Authors: Effendy Faried
Published: February 2021

There are different perspectives on the ideal place for dining, including the taste, parking lot, service, price, and other support facilities. Therefore, accommodating tourist preferences is essential to produce appropriate recommendations since tourists are very subjective and diverse when defining their favorite culinary places. Culinary support systems may help the community to obtain a culinary location recommendation as they please. This study aims to develop a web-based system that provides an appropriate recommendation for gastronomic tourists using the VIKOR method as a ranking advisor. The results showed that the algorithm ensures optimal decision - making based on user and expert assessments.
Determination of the relationship pattern of association topic on Al-Qur’an using FP-Growth Algorithms
Authors: Novita Rice , Mustakim  , Salisah Febi Nur
Published: February 2021

The Qur’an is an Islam holy book used as life guidance. Since its function as human life guidance, some strategies and ways are necessary in learning al Qur’an. Many strategies are usable in learning Qur’an, one of them is by learning munasabah science and the relationship between the topic and verses of Qur’an. The development of Data Mining that is expanded with text mining makes it easy to divide and find out the relationship of the topic of Qur’an especially in its translation. FP – Growth Algorithm is one of algorithm with many excellences in obtaining association pattern, in this case by determining topic relationship on Qur’an. The experiment in this research was carried out with 4 models where the best parameter is at minimum support 80% and its minimum confidence is 40%. Rule that is produced by algorithm is 159 with lift ratio 1.203. The best rule is implemented on android programming language as Qur’an learning media.
Design and Application Data Collection for integrated evaluation and monitoring
Authors: Hidayatullah Muhammad , Wahyudi Agus Teguh , Esabella Shinta , Andriani Titi , Gunawan G
Published: February 2021

The process of data collection of tax subjects and objects at the Regional Revenue Agency (BAPENDA) of Sumbawa Regency is still manual, where the subject and tax object data are still managed in the form of records on bookkeeping media and office application office media applications such as Microsoft Excel. The need for an application design as a form of digitizing a manual process in the governance system to improve the effectiveness and efficiency of the agency. The research aims to develop Tax Object Subject Data Collection Applications. The application is built with Web-based programming, using the PHP Programming Language and Sublime Text as Tools Editor and MySQL as a data storage medium. The application built can present data collection features related to tax object subject data such as companies, restaurants, hotels, parking and ground water data and can display reports in the form of data related to tax object and object data collection to facilitate the monitoring process in BAPENDA Sumbawa Regency.
Implementation of ELECTRE Method for Decision Support System
Authors: Siregar Victor Marudut Mulia , Sihombing Volvo , Siahaan Nimrot , Indra Kumalasari M , Siregar Muhammad Yusuf , Sagala Elviana , Toni
Published: February 2021

This study aims to design a decision support system to determine users’ priority of office inventory items at PT. INL. Deciding the priority of users of office inventory items aims to determine the most appropriate employees to use office inventory items in their daily work so that each employee’s performance can be more optimal. Deciding office inventory users’ priority is done using the ELECTRE (Elimination Et Choix Traduisant La Realite) method. The result of this research is a decision scavenger system that can help and facilitate companies in selecting and prioritizing users of office inventory items at the company. Employees who are prioritized as inventory users in the Electre method are the alternative that has the most value of 1, which outperforms other alternatives.
Application of SEM: an analysis of Depok City’s website
Authors: Prastya Imam Yudhi , Meilinda Selvi Diana , Sulistiowati Rahayu , Alfiandri Alfiandri , Yudiatmaja Wayu Eko
Published: February 2021

Electronic government is one of the strategies to create a more effective government. Many governments around the globe have applied electronic government, including Indonesia. Although there is various research on the electronic government in Indonesia, only a few studies have focused on analyzing the intention to use government websites, particularly the local government’s website. To address the research gap, this paper intends to statistically examine the intention to use Depok City’s website based on the user’s perspective by applying structural equation modelling. This study was carried out using a survey approach. Data were collected using an online questionnaire on the Depok’s citizens. One hundred twenty-five respondents participated in this study. Data were analyzed using covariance-based structural equation modelling. The key findings of this research confirm all developed hypotheses in which system quality, information quality, and service quality influence website intention to use. The results demonstrated in this work provide theoretical and practical implications further elaborated in the light of this paper.
Optimization of the CNN model for smart agriculture
Authors: Gunawan  , Zarlis M , Sihombing P , Sutarman
Published: February 2021

Artificial intelligence is a branch of computer science that has advanced quite rapidly and is very useful in helping to alleviate human tasks. One of the models or algorithms part of artificial intelligence is the Convolutional Neural Network (CNN). This model is proven to be very accurate in image data processing. CNN has been used for facial recognition and image data detection systems. In this study, researchers will optimize CNN to obtain a faster and more accurate model for processing plant disease image data in this study using oil palm plant sample data. With the Research and Development method and FGD (Focus Group Discussion) with various experts, this research is expected to produce a CNN model that is faster and more accurate.
Election model classifications of problem-based learning using a machine learning technique
Authors: Rohmat Cep Lukman , Anwar Saeful , Dikananda Arif Rinaldi , Ali Irfan , Rizki Ade Rinaldi
Published: February 2021

Strategy learning based problem involve all college students to active in working class and find the solution of problems being discussed. The active involvement of all students in learning and the capability of think critically students hoped would improve learning outcomes especially cognitive students study results. This study aims to choose model classification and evaluate how much of accuracy and precision from the learning problem learning based using a technique machine learning. Classification problems based learning treatment based on student learning outcomes and creativity. Optimize parameters applied at an election algorithms applied with both operators select sub proses. By applying some algorithms so operator select sub proses will vote in the best automatic algorithms. The algorithms Decision Tree, Naïve Bayes, and Random Forest are acquired automatic algorithms Naive Bayes have the accuracy of 75 % of the kappa 2,3%.
Classification of human development index using particle swarm optimization based on support vector machine algorithm
Authors: Mulyawan  , Dwilestari Gifthera , Bahtiar Agus , Basysyar Fadhil Muhammad , Suarna Nana
Published: February 2021

Human Development Index (HDI) is the comparative of life expectancy, education and standard of living to all countries. Human Development Index used as an indicator to assess the quality of the construction. Human Development Index may also be used to classify the city or state whether a country of developed countries, developing countries, or the state of underdeveloped and as well as to gauge the effects of economic policy on the quality of life. In the study is done capability of classifications Human Development Index in Indonesia. Methods Used to know Classifications of Human Development Index this is using Support Vector Machines algorithms base Particle Swarm Optimization. Support Vector Machine algorithms based Particle Swarm Optimization is a-method that has the capacity for the Classification of Human Development Index data. In research was built model of Support Vector Machines algorithms based Particle Swarm Optimization. Results from the human development index is in the country or province 24 96 data not be in class, very high with human development index is at the high is 952, data while in the medium is 2018 data and there are at the level of low 201 data with an accuracy to 96.26 %, weighted mean recall 97.74 %, weighted mean precision 99.09.
Comparison K-Medoids Algorithm and K-Means Algorithm for Clustering Fish Cooking Menu from Fish Dataset
Authors: Suarna Nana , Wijaya Yudhistira Arie , Mulyawan  , Hartati Tuti , Suprapti Tati
Published: February 2021

The production of fish-based food processing has become a commodity for restaurants, restaurants, catering and home consumption, but there are still many people who don’t know how fish can be processed in various dishes for their daily needs. To find out how to make fish-based dishes, the researchers provide a solution to cooking any kind of food, starting from the grouping of types of dishes, the basic ingredients that must be prepared, how to cook them, to the address of the cooking link with ingredients from fish. This study aims so that people can cook various menus whose basic ingredients come from fish. This research uses clustering algorithm, k-means and k-medoids. The stages of this research consisted of data collection, data selection, modeling, data training, data testing and evaluation. The object in the study of menu data for various processed fish dishes consisted of 978 datasets of processed fish dishes. The data used for data relating to fish food ingredients with fish food attributes and the number of likes via the website, the fish dataset is sourced from https://ipm.bps.go.id/data/dataset/ikan. From the two algorithms, the best accuracy results are -1.777 for the k-means algorithm, while -1.535 results are obtained for the accuracy of the k-medoids algorithm.
Development application of a quality assurance management information system for Paulus Indonesia Christian University
Authors: Sudianto Lande , Simon Petrus
Published: February 2021

University of Christian Indonesia Paulus (UKI Paulus) currently already has the standard documents, policies and quality documents. Yet the implementation is not supported by an information system, so the socialization process for standards, policies and quality documents is ineffective and causes limited access for those who need it. Furthermore, the implementation of monitoring and evaluation quality audits is also inefficient and brings obstacles to the implementation of the quality assurance system. The Unified Modeling Language (UML) is used for the information and communication technology (ICT) based quality assurance management information system. The development of the UKI Paulus Quality Assurance Management Information System (SIM-MUTU UKI Paulus) uses a System Development Life Cycle (SDLC) paradigm approach which consists of 5 stages: (1) identification of system requirements; (2) analysis and modeling system; (3) the system creation; (4) the system testing and restoration; and (5) implementation. The SIM-MUTU UKI Paulus which was developed is a web-based information system that provides convenience in managing the quality assurance at the university level. Various features developed in this system include: accreditation features, internal academic quality audit features and library features. System testing is carried out using white box testing and black box testing methods. 5 aspects usability testing questioners were given to 30 respondents, they are: (a) learnability, (b) efficiency, (c) memorability, (d) errors, (e) satisfaction and the result were 86.5%, 78, 2%, 75.0%, 72.5%, and 75.2% for each aspect. Based on the ISO 9241-11 indicator, the average level of usability is 77.5%. The results of this test indicated that the system run optimally, has a high level of usability with a feasibility rate of 86%. Higher education quality assurance management information system based on information and communication technology able to facilitate auditing and provide information with complete documentation related to the quality management business process in Higher Education. The utilization of technology in the form of implementing an information system support the quality assurance management process to be more automated without eliminating the business processes that have been running so far. This Information system also increase the value of an organization’s competitive advantage and facilitate the users in the decision-making processes.
E-Commerce Application based on cloud computing in SMEs
Authors: Panggalo Wendyanto , Arrang Hermin
Published: February 2021

Small-medium enterprises (SMEs) have an essential role in national economic development. The impact of Covid-19 affects income on SMEs in Indonesia. SMEs in the North Toraja district is one of the business sectors affected by Covid 19. This pandemic has caused a decline in the demand side’s performance, namely consumption and purchasing power, which then disrupted the production and trade processes. Therefore, SMEs need an innovative online business transaction that can affect the development of business activities in North Toraja. E-commerce is an application that can distribute products from SMEs. This study aims to design and implement cloud computing-based e-commerce that can be used by all SMEs in the North Toraja district. The system design uses the visual modeling method with the testing system using the black box testing method. The resulting E-Commerce application can help all SMEs in the North Toraja district to expand marketing, simplify product and transaction processing, and facilitate product ordering
Monitoring of the Virtual Learning Process during the Covid-19 pandemic
Authors: Batara Chris
Published: February 2021

The COVID-19 pandemic that is currently sweeping the world is forcing the world of education to close classrooms and avoid physical gatherings. This situation forces the education system to redesign or re-engineer an education and training system that is not limited by time and space, with a virtual learning system (e-learning) that utilizes information and communication technology, the use of digital devices for various purposes in the world of formal education. and non-formal. Virtual Learning System (e-learning) is a learning system by providing an online environment based on information and communication technology. This system can overcome problems that arise due to Covid-19 not to come together to carry out the learning process, but must learn from their respective places. In the virtual learning process, there is a need for a system that can be used to monitor and ensure the learning process goes well and the quality is maintained. Monitoring and evaluation which is part of the governance system developed to maintain and ensure that education is carried out according to educational standards listed in Permenristek Dikti no 44 of 2015 concerning National Higher Education Standards (SN-Dikti). Realizing this, education managers need to make various efforts to ensure good management of learning, starting from the planning stage, implementation to the evaluation process. Based on the foregoing, it is necessary to formulate guidelines for monitoring and evaluation of learning as a reference to ensure the implementation of SN-Dikti. The monitoring carried out in this study was the activeness of lecturers and students in virtual learning.
Additional Security using Three-Pass Protocol and Pohlig-Hellman
Authors: Rahim Robbi , Zahri Nik Adilah Hanin , Warip Mohd Nazri Bin Mohd
Published: February 2021

Data and information protection is usually done by encrypting sensitive data and information using cipher keys or symmetric algorithms. This includes using what is known as “cipher keys,” which are used in systems that require two parts, a sender’s and receiver’s part, which is a special system that needs to be assembled, and a location where data is sent to or stored. The Three-Pass Protocol and Pohlig Hellman Algorithm solves a key distribution problem in symmetric and asymmetric cryptography, allowing senders and receivers to process encryption and decryption due to lack of key distribution processes.
A reconfigurable IoT-based monitoring and control system for small-scale agriculture
Authors: Hoan Tran Nhut Khai , Qui Nguyen Cao , Truong Nguyen Phuc , Danh Lương Vinh Quốc
Published: February 2021

In this paper, we present the design of a low-cost remote monitoring and control network for household cultivation, in which peripherals connected to each sensor-node can be re-configured remotely from the internet via a master node without any changing on the system firmware. The feasibility of the proposed scheme is evaluated via experiments. Particularly, the experiments set-up consists of one master node communicating wirelessly with some sensor nodes (slaves) to collect sensing data or send commands to them to manage the operating of the system. The sensing data from slaves will be collected and updated periodically to Google Sheets by master node via the internet connection. Additionally, slaves are equipped with versatile ports for connecting with sensors. The port is designed to be compatible with most popular communication standards such as analog, digital, I2C, UART, SPI. The key design of these communication ports is that when plugging/unplugging a sensor into/from a port, the corresponding slave can be re-configured directly on Google Sheets or keypad connected to master node. The research results can be further extended and improved to be applicable to household cultivation as well as application models of smart agriculture.
Analysis of working load of semi-automatic sprayer knapsack operators on spraying at paddy fields
Authors: Ansar  , Murad  , Sukmawaty  , Hatmurizal
Published: February 2021

The use of a knapsack sprayer for pest and disease control is quite exhausting, causing fatigue for operators. This fatigue can cause pain or injury to the muscles. Therefore, this study aimed to determine the operator’s workload based on fatigue and total energy consumption in operating the knapsack sprayer. There are 2 types of knapsack sprayer equipment, namely high-density polyethylene sprayer (HDPS), and stainless steel sprayer (3S). The results show that the operator’s workload is in light of the moderate category as indicated by the average IRHR value for HDPS between 1.063-1,580 and 3S between 1,194-1,687. Calculation of the operator’s workload obtained an average value of total energy consumption for HDPS between 0.034-0.078 kcal/kg, while 3S between 0.046-0.087 kcal/kg. The normalized work energy consumption value of the HDPS operator between 1.367-3.554 kcal/kg, while 3S between 1.954-4.234 kcal/kg. Based on the calculation of the total score of each operator, it is known that the level of muscle complaints using the HDPS or 3S shows did not differ significantly. However, the workload of using HDPS is lower than the 3S at a capacity of 8-14 litters.
Application of an adaptive fuzzy logic controller to optimize the performances of the P&O algorithm
Authors: Chekenbah Hamid , Maataoui Yassir , Lasri Rafik , Choukri Larbi
Published: February 2021

In this work, an Adaptive Fuzzy Logic Controller is studied to optimize the transfer of the power provided by a photovoltaic generator. The adaptation process is carried out online in two tasks: the adaptation of the rules consequences and the self-organization of the internal structure of the Fuzzy Controller. In comparison with two types of traditional controls, the performance of the controller studied is validated. The simulation results show that the controller studied makes it possible to reduce the response time by 3 % compared to the conventional controller, and minimizes the steady-state error by eliminating the phenomenon of oscillation around the PPM and that the proposed controller exhibits good behavior with a wide range of power.
The Regression Estimation Model of Post-empowerment Household with Consumption Function Theory
Authors: Rahim Abd. , Malik Abdul , Hastuti Diah Retno Dwi , Syam Ulfah , Marhawati
Published: February 2021

The existence of an empowerment program for fisherwomen in household-scale capture fish processing aims to improve the family economy so that it will impact changes in household consumption expenditure after the empowerment of small-scale fishermen’s wives. The research method used qualitative independent variable regression estimation with the consumption function theory. The results showed that post-empowerment household consumption expenditures on small-scale fishermen’s wives were influenced by household income and household members’ numbers. On the other hand, the wife’s education and regional differences did not have a significant effect. The increase in household consumption of small-scale fishermen’s can be realized if there is an increase in household income from the catch and processing of fisheries products from fishermen’s wives in a sustainable manner during the fishing season.
Design and implementation of a microcontroller based printed circuit scrolling message notification board
Authors: Kulor Frank , Markus D.Elisha , Apprey Michael W. , Agbevanu Kafui T. , Gasper Gabriel
Published: February 2021

The noticeboard is an essential thing in any establishment or association to convey data among the partners. In the occupied and quick-moving present reality, the traditional paper notice framework is tedious and not reasonable for brisk sharing of data. This exploration work aimed at designing an electronic scrolling display board on a specially designed Printed Circuit Board (PCB). The thought behind this undertaking is to furnish its clients with a basic, quick what’s more, dependable approach to set up a significant notification in a LED where the client can display messages to be shown directly on the LED unit from a computer to the microcontroller and also to give notification about anything at a particular moment to the targeted group or audience. This will significantly provide improved measures to the limitations and restrictions of conventional notice boards. The system is created with an ATmega 328P microcontroller from Atmel. The microcontroller showed all the usefulness of the showcase notifications required. The Display is acquired on a 2X (16X72) dot matrix display board, orchestrated on a cascaded specialized PCB designed with a Ki-cad schematic/design software suite for a wider view. An ideal instant message from a computer is sent utilizing Arduino IDE and HT1632 driver IC to drive these tremendous LEDs. The framework was tried to work as per the test message. This brilliant notification board can make the notification arrangement of an association much basic, quick and financially savvy and provide a limitation to an accident that can occur when sticking paper-based notification sheets.
Ethanol Distillation Heating Mantle with Timer and Temperature Display
Authors: Loniza Erika , Saputra Adityana Juni
Published: February 2021

Heating mantle or isomantle is a laboratory equipment used to spread heat to containers designed to distill or separate chemical fluids using heat. In the laboratory, distillation is generally used to perform fluid separation with low boiling points such as Ethanol. Ethanol has health benefits such as antiseptics, solvents of various chemicals, and more. However, the distillation process using an open fire will be perilous because the fire can break out towards organic solvent vapor. So the author innovating the heating mantle tool for distillation by using a dry heater as a heater that will heat the tube as well as monitoring the liquid temperature using the LM35 sensor with a digital timer and LCD. The study results obtained the temperature measurement results of 79 °C with an average of 79,6 °C and an error value of 0,7%. This value is still at the permissible threshold of +/−1 °C. For 2 hours 30 minutes, the timer obtained an average of 2 hours 28 minutes, and errors of 1,3 %. For ethanol amount with an average of 144 mL, after general testing, it can be concluded that heating mantle for Ethanol distillation equipped with a timer and temperature display can be appropriately used and keep on within the tolerable threshold value.
Examining continuous integrating of technology acceptance model with task-technology fit
Authors: Tawafak Ragad M , Romli Awanis , Malik Sohail Iqbal , Alfarsi Ghaliya , Jabbar Jasiya
Published: February 2021

This study aims to examine the adopted Technology Acceptance Model (TAM2) factors with the interaction of Task-Technology Fit (TTF) factors for continuous intention to use model. Therefore, this study analyzes the critical factors and the adoption of TAM to improve the continued intention to use e-learning. This study develops a combined model of TAM2 and TTF for the continuous purpose of use. Furthermore, the model results show high acceptance of the relationships between factors. This study reveals the flexibility to lecturers and students in selecting the excellent e-learning to support teaching and learning of continuous intention.
Maneuverings behavior on the Ship-RUV during operational trials condition
Authors: Budianto  , Rahmat Muhammad Basuki , Sutrisno Imam , Suwondo I’ie , Iskandar
Published: February 2021

Ship-RUV testing in trials conditions is a mandatory requirement or technical provision before carrying out real operational conditions to find out the existing performance results. In the maneuvering test, in the trial conditions of the Ship-RUV, it was carried out by the performance test method which included several experiments including: progressive speed, turning circle and Image Processing. The performance test is one method of the Ship-RUV tests before making actual operational performance efforts. This is to determine the performance of Ship-RUV in an effort to determine the characteristics it has actually. Several provisions in the Ship-RUV test refer to the specified technical specifications. This is of course regulated in the owner’s request, where it is customized. In the Ship-RUV maneuvering test, the Ship-RUV test results were obtained with a maximum speed of 5 knots with a tactical maneuvering diameter of 1500 mm. The result of image processing resolution is 720P, which is sufficient for investigating the ship’s hull. These conditions are in accordance with the technical provisions required in accordance with those calculated in the classification.
Image capture device based on Internet of Thing (IoT ) technology
Authors: Imtihan Khairul , Bagye Wire , Mohammad Taufan Asri Zaen , Fadli Sofiansyah , Ashari Maulana
Published: February 2021

Tracing stolen cattle in the Lombok Tengah regency of NTB province is carried out by tracing footprints and waiting at certain location points which are considered as the route to be traversed or the final destination of cattle theft which is called “Ngendeng”. Ngendeng is carried out day and night from the time the livestock is declared missing until the livestock is found or the potential to be found is considered lost. The problem that occurs in Ngendeng’s activities is that it endangers the safety of life if there is a clash with thieves and a decrease in health for the people of Ngendeng. To replace the role of the community in doing Ngendeng, an Internet of Things (IoT) devices for image capturing was developed. The device can take a picture if someone passes through the front of the device then it is sent to the Telegram account of the District Police and the Community telegram account. The development of devices uses the Research and Development (R&D) method to produce products, and test the product’s effectiveness. The placement of the devices will be distributed in three (3) sub-districts in Lombok Tengah Regency based on the results of data analysis obtained from the results of data enumeration. The method used in tracing the point of placement of devices in each sub-district was using the Participatory Rural Appraisal (PRA) method. So that it is found the most frequently traversed point (very potential) to place IoT-based image capture devices as an effort to reduce the crime of cattle theft in Lombok Tengah Regency.
Stress strain experimental analysis of geopolymer concrete
Authors: Tran Hong Quan , Nguyen Tan Thanh
Published: February 2021

The mechanical properties and Modulus of Elasticity (MoE) of fly ash and Ground Granulated Blast Furnace Slag (GGBS) based Geopolymer Concrete (GPC) are presented in this paper. It has been used the eight molarity concentrations of Sodium Hydroxide and alkaline liquid ratio with the ratio of 2.50. We have analyzed the stress-strain characteristics and flexural, compressive and split tensile strengths for the GPC20, GPC40 and GPC60 grades. The experimental analysis was performed on the 150x150x150mm cubes and 100x100x500mm prisms and 150x300mm cylindrical GPC specimens. Testing has been performed and noted that the superior mechanical characteristics and evaluated stress-strain relationships of flyash and GGBS based GPCs in ambient curing environment. The MoE has been varied due to the increase in GPC grade. Finally, we have proposed the equation for determining the MoE which depends on compressive strengths GPC.
Optimization of laboratory application by utilizing the ISO/IEC 25010 model
Authors: Gustriansyah Rendra , Suhandi Nazori , Alie Juhaini , Antony Fery , Heryati Agustina
Published: February 2021

Public health center (puskesmas) as the driving force for health-minded development are responsible for improving the quality of its services through the delivery of relevant, fast, and targeted information. Likewise, the laboratory unit at the puskesmas is the frontline of the first level health care center. Especially in the Corona pandemic today, where the role of laboratories as a testing facility for Covid-19 virus testing is very important. Ease of obtaining data/information, a high level of readability, timely and minimal errors are needed. Therefore, this research has developed a lab application in puskesmas to collect, process, and present data in a structured, easy-to-read, timely, and accurate way (minimizing human error) using the Prototype model. The quality of lab application is evaluated by the ISO/IEC 25010 model and the evaluation results show that lab application meets the characteristics of ISO/IEC 25010 (valid).
Comparative analysis of speed and cutting results of st-37 soft steel using HSS and carbide chisel knife
Authors: Vina N. Van Harling
Published: February 2021

This study aims to analyze the comparison of the speed and results of cutting ST-37 soft steel using a High-Speed Steel (HSS) ø: 16 mm chisel and a Caribida chisel blade, ø: 16 mm. The research was conducted at Work Training Center (BLK). Based on the research data, the results obtained: maximum and minimum speed for each chisel blade with an infeed depth of 0.5mm, 1mm. and 1.5mm is different, with the results of cutting the chisel knife of the High-Speed Steel (HSS) type the steel is cut better (finer), on the other hand, the Caribida type milling knife can make the final result of the steel cutting rough or look like before (normal).
Parameter design optimization of the crank-rocker engine using the FMINCON function in MATLAB
Authors: Albaghdadi Anwr Mohammed , Baharom Masri Bin , Sulaiman Shaharin Anwar bin
Published: February 2021

This study presents an optimization approach in the design selection of parameters of the Crank-Rocker engine. This engine works on the principle of a four-bar crank-rocker mechanism, and the purpose of this study is to find the basic geometry of the mechanism that satisfies three required objectives which are to determine the optimized rocker stroke, to achieve maximum output torque, and to attain specific time ratio to enhance engine performance. A MATLAB model was used to solve this synthesis problem and a comparison between different algorithms was introduced to determine the best algorithm for the purpose. The results show that the FMINCON function is reliable and the suggested optimization method can be used to obtain the most suitable parameters of the crank-rocker engine.
Saturation channel extraction of HSV color space for segmenting Plasmodium parasite
Authors: Nugroho Hanung Adi , Goratama Rezqy Dwikara , Frannita Eka Legya
Published: February 2021

Malaria is one of the dangerous diseases in the world. Despite it has been decreased every year, the number of patients for this disease is still reasonably a lot. Technical problems that arise in the malaria cases are due to malaria examination and diagnosis analysis, which are carried out manually. At the same time, there are still medical personnel scarcities in some rural areas including of some districts in Indonesia. Moreover, the required examination process demands accuracy and takes a long time. Thus, an effective solution is necessary to help parasitologist to reduce malaria cases. One of the alternative ways to solve those problems is by utilizing technology to assist medical personnel in conducting examinations and analyzing the diagnosis results. This research was conducted to reach this objective. In achieving this objective, an image segmentation approach for finding the Plasmodium parasites was developed. The proposed approach consisted of four stages, which are the pre-processing stage, the segmentation stage, the refinement of segmentation results stage, and the evaluation stage. This proposed method was performed on 25 digital microscopy images of the thin blood smear digital microscopic images. The experiment yielded a good performance with the accuracy, sensitivity, and specificity of 99.83%, 85.06%, and 99.90%, respectively. These results indicate that the proposed method has an outstanding performance in segmenting Plasmodium parasite and can be utilized as a preliminary project to assist doctors in examining or identifying the Plasmodium parasites location.
Dental unit prototype with dental suction and handpiece micromotor parameters
Authors: Fajrin Hanifah Rahmi , Sarwono Heri , Supriyadi Kuat
Published: February 2021

A dental unit is a device for dental examination and treatment, including drilling, filling, cleaning and examination. In 2018, Basic Health Research Center Indonesia recorded the proportion of oral and dental problems of 57.6% and 10.2% of those who received services from dental medical personnel. Equitable distribution of dental health services at public health centers for the middle to lower-income community still faces a lack of facilities due to the dental unit’s high cost. Judging from the above problems, the author wants to make an economical Dental Unit but has entered into the standard of a dental examination. In designing the dental suction device and handpiece, this micromotor utilizes an LCD display as a pressure reading on dental suction, which has been converted by the MPX4115C6U5V sensor as well as the micromotor handpiece. There are up and down buttons for selecting the rotation speed from 1000 RPM to 25000 RPM. The tests carried out include testing the suction pressure at dental suction and testing the rotational speed of the micromotor handpiece. Based on the results, the sensor used as a pressure reader for the calibrator tool has the largest correction value of 0.36 KPa at -10 KPa pressure measurement, the micromotor handpiece testing has the highest error of 2.2% and the lowest error of 0.3. %. Thus, it can be concluded that the design of the dental suction device and the micromotor handpiece can be used in the examination of teeth and mouth as a saliva suction device and tartar cleaning.
The gap and its reduction between theory and reality of construction schedules in the UAE
Authors: Mehdawi Fawzi , Abuzwidah Muamer
Published: February 2021

The construction industry is constantly changing due to market conditions and increased competition. The competition, in particular, has resulted in the need in better schedule performance for construction projects. Construction schedules are fundamental and challenging activities in the execution as well as management of construction projects. Besides, scheduling is an essential function of the project management since it provides a roadmap illustrating all the activities, milestones, and deliverables within a project to prevent any delays during the project’s commission as well as handover. In project management, delays have an adverse effect on the construction lifecycle and mainly arise from poor planning as well as forecasting techniques, insufficient knowledge on scheduling techniques, and inadequate or inefficient communication processes or technologies. The aim of this study is to identify the gap between scheduling theory and scheduling practices in reality of construction schedules in the UAE and its reduction methods in the practice. It will review existing literature to link schedule theory and good practices to illustrate the relationship between schedule problems and usage to recommend ways of improvements. A concise methodology stating the proposed research design and instrument is also provided.