bluuebunny/crossref_metadata_2025 huggingface dataset:
Strategi Peningkatan Soft Skill Mahasiswa Perbankan Syariah melalui Program Merdeka Belajar Kampus Merdeka
Authors: Nur Hidayah Agustin  , Aziz Imam Abdul
Published: January 2023

Abstract. Merdeka Learning Program at the Merdeka Campus (MBKM) aims to improve the ability, soft skills and hard skills. The purpose of this research is to develop the right strategy to improve the soft skills of students of the Islamic banking study program in the MBKM. This study uses the SWOT analysis method to analyze internal (strengths and weaknesses) and external (opportunities and threats) factors for students which are the basis for determining strategies. This study had participated by 41 syariah banking student .The data collection technique was a questionnaire. The results show the strategies by Islamic banking study program are 1) Opening an internship program / MBKM field practice at Islamic financial for improving students' soft skills/hard skills as a provision to face competition in the world of work. 2) Increase the intensity of socialization to motivate students to take part in the student exchange program and recommend students to choose a student exchange place that has previously partnered with the Islamic banking study program. 3) Helping students determine the place for implementing the Village Building Project (PMD) and applying the concept of community development and empowerment through technological innovations with multidisciplinary and collaborative work teams.

Abstrak. Program Merdeka Belajar Kampus Merdeka (MBKM) bertujuan untuk meningkatkan kemampuan, Soft skill, dan hard skill. Tujuan penelitian ini adalah untuk menyusun strategi yang tepat guna meningkatkan soft skills mahasiswa program studi perbankan syariah dalam program MBKM. Penelitian ini menggunakan metode analisis SWOT guna menganalisis faktor internal (kekuatan dan kelemahan) dan eksternal (peluang dan ancaman) bagi mahasiswa yang menjadi dasar untuk penentuan strategi. Total populasi mahasiswa aktif program studi perbankan syariah dalam penelitian ini berjumlah 41 mahasiswa. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah kuesioner. Hasil dari penelitian ini menunjukkan bahwa strategi yang dilakukan program studi perbankan syariah adalah 1) Membuka program magang/praktik lapang MBKM di lembaga keuangan syariah pada semester genap. Dan diharapkan dapat meningkatkan soft skills/hard skills mahasiswa sebagai bekal dalam menghadapi persaingan di dunia kerja. 2) Meningkatkan intensitas sosialisasi untuk memotivasi mahasiswa agar mengikuti program pertukaran mahasiswa dan merekomendasikan mahasiswa untuk memilih tempat pertukaran mahasiswa yang sebelumnya telah bermitra dengan program studi perbankan syariah. 3) Membantu mahasiswa menentukan tempat untuk pelaksanaan Proyek Membangun Desa (PMD) Serta menerapkan konsep pembinaan dan pemberdayaan masyarakat melalui inovasi teknologi yang dilaksanakan dalam tim kerja yang bersifat multidisipliner dan kolaboratif.
Risk Management for Analytic Closed Circuit Television based on Internet of Things in Semarang City
Authors: Nugroho Rossi Adi , Nafi'ah Binti Azizatun
Published: January 2023

Successful implementation of a program is the goal of program design. However, currently, many programs fail to be implemented due to the failure of efforts to prevent the occurrence of failure factors. Especially in the era of digital governance such as today, the planning of various smart city programs has a large potential risk of implementation failure. The Semarang City of IoT CCTV program, for example, the implementation of the use of analytics-based CCTV requires long and careful preparation. Not only management preparation but risk management is also needed for the program. This research aims to analyze the map of potential risks in the Semarang City CCTV of IoT program along with analyzing how the risk management of the program. This research is based on qualitative research with primary and secondary data collection techniques. Primary data collection by interviewing related informants purposively, then the data is analyzed based on qualitative analysis. The findings of this research are that the highest level of risk occurs in the shortage of human resources and CCTV operators because there are no human resources who are data analytic experts and Artificial Intelligence experts. Other high risks are database errors / down; CCTV devices using old technology; long loading dashboards; and no Fiber Optic connection in internet management
Physiological Characters and Yield of Transplanted Finger Millet (Eleusine Coracana L.) as Influenced by Different Plant Geometry and Graded NPK Levels
Authors:   Anbil Dharmalingam Agricultural College and Research Institute,  Tiruchirappalli, India, K Vijay Aravinth , N Senthil Kumar ,   Agricultural College and Research Institute, Kudumiyanmalai, India, R Mohanapriya ,   Agricultural College and Research Institute, Kudumiyanmalai, India, S Avudaithai ,   Anbil Dharmalingam Agricultural College and Research Institute,  Tiruchirappalli, India
Published: January 2023

A field experiment was conducted at Agricultural College and Research Institute, Killikulam, Tamil Nadu during Rabi season (Oct - Mar) 2018 – 19 to evaluate the effect of different plant geometry and graded NPK levels on the performance of finger millet (Eleusine coracana L.) under transplanted condition. The experiment was planned with different spacing in combination with different fertilizer levels viz., Absolute control (Random planting without fertilizer application), farmer practices (30 × 10 cm + 100% RDF), square planting of 25 × 25 cm with 100%, 125 % and 150 % RDF, square planting of 30 × 30 cm 100 % 125 % and 150 % RDF. SPAD values were found to increase progressively from 30 to 60 DAT but declined at harvest. Among all the treatments, higher SPAD value and light interception percentage were recorded under plant spacing of 25 × 25 cm + 150 % RDF (47.30 & 71.02, 61.55 & 88.24 and 29.17 & 83.68 at 30, 60 and 90 DAT, respectively). It was significantly on par with the spacing of 25 × 25 cm + 125 % RDF (45.62 & 70.15, 59.43 & 87.30 and 27.60 & 82.16 at 30, 60 and 90 DAT, respectively). The treatment 25 × 25 cm with 150 % RDF was identified as the best yield attributes, and yield-producing treatment as it has recorded higher no. of productive tillers hill-1 (7.3), no of fingers earhead-1 (7.5), finger length (cm) (9.8) and test weight (g) (2.8), grain (2692 kg ha-1) and straw yield (4129 kg ha-1) and it was on par with 25 × 25 cm + 125 % RDF. The lowest SPAD values, light interception percentage, yield attributes and yield were recorded in absolute control.
Identification of the Benefits of the Usage of Information Technology in Managing Warehouses in Supply Chain
Authors: Habsi Jouhara Al , Kalbani Ali Salim Al , Ullah Asad
Published: January 2023

The aim of this research is to identify the most important benefits of using the Information technology in managing the warehouses. Knowing that the warehouse departments make use of the Warehouse management Systems (WMS) to manage their warehousing activities, but the system performs limited functions such as contacting the suppliers, as for the rest of operations such as knowing the amount of inventory, information regarding stock movement, knowing the arrival and departure schedules of trucks and many other functions etc., are performed by the warehousing staffs manually by using the papers in order to the record data. The study seeks to highlight the current use of IT in managing warehouse and identifying the shortcomings of WMS in managing warehouse. This paper will make use of literature review methodology, which will identify publications related to study highlighting the benefits of usage of information technology in managing the warehouse. The findings of the study will highlight the important benefits of using information technology in managing the Warehouses leading to more profits and efficiency for the organizations. The use of modern technology, such as big data in stock management improves the pace of work, if there is sufficient knowledge and skill when using these techniques.
Development of probiotics and prebiotics product as weaning food for infants
Authors: Shreya Singh  , Neetu Singh
Published: January 2023

The present investigation entitled “Development of probiotics & prebiotics product as weaning food for infants” was based upon Probiotics and prebiotics which is beneficial for bacteria grow back and good digestion capability. Prebiotics function is to increase our gut healthy bacteria groups such as bifid bacterium and lactobacillus. Food containing probiotics (bacteria) and prebiotics (fermented fibre) are called symbiotic food because a component stimulates the activity of the other, being twice effective. In this research work mainly three weaning foods were developed with different compositional values of milk and starch weaning food i.e., M ilk (120 ml), starch (30 ml), M ilk and bread weaning food, M ilk (120 ml), bread (3 slice), M ilk, fruits pulp weaning food, milk (120 ml), fruits pulp (56 g). Highly accepted weaning food is milk and starch weaning food among the three products.
Can oral microbiome dysbiosis affect the behavior of children with Autism Spectrum Disorders (ASD)? : Narrative review
Authors: Udijanto Tedjosasongko  , Paramita Devi Oktaviani  , Salma Nadia  , Dimas Prasetianto Wicaksono  , Seno Pradopo
Published: January 2023

Background: Autism spectrum disorders (ASD) are complex developmental disorders characterised by several levels of social interaction and communication difficulties. The prevalence of children with ASD worldwide is around 1:160, and the number of cases of autism has increased significantly. The oral microbiome is a diverse microbial biofilm with the second most complex microbiota in the human body after the gut. Several factors, such as lifestyle and health, can influence the oral microbiome’s composition and metabolism. Children with ASD generally have poorer oral hygiene and suffer from periodontal disease and dental caries more than typical children; this is associated with behavioural disturbances, such as communication limitations, motoric limitations, eating habits and the side effects of drugs. Continued oral microbiome dysbiosis can lead to gut microbiome dysbiosis. There are two hypotheses for the transmission of oral bacteria to the gut, via the hematogenous route or via the enteral route. Gut microbiome dysbiosis may regulate social behaviour, such as emotional dissonance and anxiety, through blood-brain-barrier and gut-brain-axis pathways. When there is inflammation of the periodontal tissue in ASD children, it can cause lipopolysaccharide (LPS) leakage to the blood-brain barrier (BBB) that can cause an inflammatory response and disrupt metabolic activity in the central nervous system. Oral dysbiosis, which continues into gut dysbiosis, can affect behaviour through the gut-brain axis. This review aims to determine the impact of oral microbiome dysbiosis on the behaviour of children with ASD.
A Study Of Internet Protocol Digital Microwave Radio (IP DMR) Propagation Delay Affected Downtime In Oil And Gas Company
Authors: Samsudin Nooraida , Ahmad Azham
Published: January 2023

Internet Protocol Digital Microwave Radio (IP DMR) is a significantimpact on the trunk mobile communication between platform. Thus, thegoal of downtime is a crucial problem especially in oil and gascompany. Based on the examines from the previous issues such asrelative costing based on previous hardware requirements and possibleimplementation, and upgrade that contribute to the long termcommunication flexibly on all radio in the platform system. This paperwill examine the downtime that affect the network by calculate thepropagation delay using SLA given and compare the SLA for DigitalMicrowave Radio (DMR) and Internet Protocol Digital MicrowaveRadio (IP DMR) that contribute to the process
Students Attendance System (SAS)
Authors: Ramli Aimran , Abdul Latip Mohd Hanapi , Mohamed Hasiah , Mohd Adzmi Nurul Husna Amalina
Published: January 2023

In UiTM Terengganu, student attendance current manual processis based on Academic Affairs (HEA) criteria. Lecturer has tobring attendance sheet to each class and take student attendance.At the end of semester lecturer has to manually calculate andsend the report to HEA. Based on preliminary study, currentprocess causing inefficiency on processing reporting. In order toimprove the current process, Student Attendance System (SAS) isa system proposed to be developed for Universiti TeknologiMARA (UiTM) Terengganu. Lecturer is the primary users of thesystem. These allow user control, update, and view the attendancebased on session, course and group. SAS was developed withSystem Development Life Cycle based on Extreme Programming(XP). XP phases involve phase of select user stories for release,then break down stories to tasks, plan release, develop, release toevaluate it. Then, process is repeated until meet user requirement.System testing based on test plan has been conducted. As for theevaluation, the evaluation process is done by three (3) expertsthen comment and suggestion is produced. Results based onexperts evaluation shows that positive feedback from the expertswhere the development of SAS caters elements of ease of use,flow is easy to be understood and the system is consistent andfollow the standard As conclusion, SAS can be improved basedon comments and suggestions form experts and it has a bigpotential to be implemented in UiTM Terengganu.
Public Transportation Selection Application Based On Decision Support System
Authors: Ying Lee Suet , Mei Lee Jun , Shi Lim Mei , Hui Kee Hong , Arbaiy Nureize Binti
Published: January 2023

In Kuala Lumpur, there are various types of public transport such as bus and multiple types of rail transport. This facilitates the residents in Kuala Lumpur in terms of mobility and can reduce the level of traffic congestion around Kuala Lumpur. However, some people might get confused about the alternative routes when they are using the public transport. Next, road user might find information from maps and Internet which requires them to analyse and decide the routes by themselves. In addition, complex scheduling and routes of public transportation are hard to understand for the public. Besides, road users are not aware of better route and public transport available based on their requirement. In the end, they might be getting jam-packed on the road due to the limited information on the current available public transportation. Therefore, a decision support system is proposed to generate a type of public transport which suits with the criteria selected by the user. The system consists of five main modules and involves common users and system administrators. The application is written in Java programming language. Android Studio is used as software development and MySQL database. It is expected that this application will be able to help users to get public transportation options that suit the criteria they need.
Designing an Online Supervision System (Logbook) with Laravel Framework
Authors: Hadi Ronal , Defni - , Medrofa Arnila Cahya
Published: January 2023

Final Year Project is one of the students’ graduation requirements to get a Bachelor Degree in Higher Education. The supervising process is an essential part of the final project activity between the supervisor and the students to supervise the students to produce a qualified final project. The article aims at designing a logbook application by using the Laravel Framework for students’ supervising process. The design of the logbook used Laravel framework and a MySQL database. It is utilized by Information Technology major Politeknik Negeri Padang.
A Review of Internet of Things (IoT) in Construction Industry: Building a Better Future
Authors: Katiyar Ankit , Kumar Pradeep
Published: January 2023

Construction companies today are aiming for the finest technologies to achieve their targets in minimum cost possible along with a high level of security and safety. Construction companies are focusing more on the benefits of internet in their projects in order to improve processes, reduce waste and optimally utilize their resources and Internet of Things (IoT) is making it possible in a much more efficient way than thought of. IoT has now become the newest of the technology that is being used in the construction industry. IoT is basically the network of physical objects—buildings, vehicles, devices and other objects fixed with sensors, software, electronics and internet connectivity which aids these objects to collect, store and exchange data. This paper aims to improve the understanding of the importance of IoT and its implementation in the construction industry. The paper presents the compiled study of the works done by various researchers in which IoT can be used in the construction industry. The findings of their work have been discussed in this paper and future scope of work regarding the usage of IoT in different fields have been identified.
Predicting Peer to Peer Lending Loan Risk Using Classification Approach
Authors: Zulfikri Fahmi , Tryanda Dendy , Syarif Allevia , Patria Harry
Published: January 2023

Technological innovations have affected all sectors of life, especially, the financial sector with the emergence of financial technology. One of them is marked by the emergence of Peer-to-Peer Lending ("P2P Lending). Credit Risk Management is essential to P2P Lending as it directly affects business results, therefore it is important for P2P Lending to predict borrowers with the highest probability to become good or bad loans based on their profile or characteristics. In the experiments, five classification algorithms are used, which are Gradient Boosted Trees, Naïve Bayes, Random Forest, Decision Tree and Logistic Regression. The result is two modelling performed well that is Random Forest with accuracy 93.38% and Decision Tree with 92.35%.
The Analysis of Service Integrity on Video Streaming Services Using Time Division Duplex and Frequency Division Duplex Technology on LTE Networks
Authors: Chandra Dikky , Yusnita Sri , Sitepu Dana Bahari , Rusfandi - , Meidelfi Dwiny
Published: January 2023

The growing use of cellular technology has a rapid impact on the development of technology and information. This development relates to the use of information and communication services that is tailored directly, practically and effectively manner. Responding to the issue, the researcher is interested in conducting research by looking at the parameters using Time Division Duplex (TDD) technology and Frequency Division Duplex (FDD) technology on video streaming services. Service integrity measurement results on LTE networks are carried out in real time in the field according to the research path and eNodeB installed in dedicated mode. Dealing with the results, the effect of DT parameters on service integrity can only be seen in the SINR and CQI parameters. When SINR measured 21.3 dB and CQI measured 13.5, the measured throughput was 3665.2 Kbps so that the measured modulation was 64 QAM, on the other hand, if SINR measured -0.2 dB and CQI measured 10, the measured throughput was 0.5 Kbps so that the modulation measured was small, namely QPSK. From the results obtained, LTE TDD has a better service integrity value, namely throughput has a value of 891.16 Kbps and a latency of 48 ms for Telkomsel while 882.14 Kbps and latency was 49 ms for Smartfren than LTE FDD which had a throughput value of 820.83 Kbps and a latency was 68 ms for Telkomsel while 831.21 Kbps and 77 ms latency were for Smartfren, thus LTE TDD is better in terms of throughput and measured latency.
Design of a Novel 2.4GHz RF Transmitter
Authors: Tejaswi Dhruthi , Vinay Samudrala , Sriram Vidyuth , M. Ananda , A.B. Kalpana
Published: January 2023

The world of Wireless Technology has been improving consistently due to its high speed and reliability. Some of the demands that need to be fulfilled include larger network capacity, improved data rates and so on. This paper focuses on the design and simulation of the Transmitter, which is a key component in an RF Transceiver Module. It is built by cascading an Up Conversion Mixer, a Bandpass Filter and a Power Amplifier as its most fundamental units. The Cadence Virtuoso Tool was used to construct this Transmitter block in 180nm node technology. The IF signal to the Mixer is 100 MHz and the LO signal is 2.3GHz. The 2.4GHz amplified RF output is taken from the Power Amplifier. A 1dB compression point of -25.91 dBm and an IIP3 of 10.14 dBm is observed for the proposed design. Future work involves testing its integrity with an RF Receiver module that has appropriate modulation schemes in place and converting it into a physical layout-based IC.
A Review of Breast Cancer Classification and Detection Techniques
Authors: Mohamed Sarah Khaled , Sakr Nehal A. , Hikal Noha A.
Published: January 2023

Cancer is a very serious disease. Deadly and very hard if you lived with. Cancer is caused when abnormal changes happens on cells that are out of control.Cancer cells often form a lump or mass called a tumor and are named after the part of the body in which they originated. When Happens at breast organ it is called Breas Cancer. Deadly as any other type of cancer. Also as any other type, it has a life cycle consist of stages. usually does not produce any pain in the early stages in which it is easy to treat on. Cancer main problem is when to find out that the patient had cancer cell inside his body. Early stages always it better timing to start treating the cancer tumors. All old reaserchers and doctors always tried to improve the medical processe in which we try to find cancer cells also the other medical checkups to help us detect or even predict that this person had or will have a cancer disease in the future. CAD systems and Medical Screening was the main ways to think about. Medical Images processing technologies and finding best features of cells was the right way and using CNN, Deep CNN, Convoltion Matricese, SVM Technique and many of Machine Learning algorithms used before, the main challenge was to make it easy and also more accurate to complete these tests. Many improvements made at this track of work. The results always was More and more of accuracy improvements and time reduction and resources usage improvements too.
Computerized Senior Citizen Health Monitoring using Mobile Application
Authors: Ahmad Yani Nursyafiqah Aisyah , Zolkipli Mohamad Fadli
Published: January 2023

Health is the primary concern of senior citizens because they might experience many changes and uncertainties that might affect their lives. Further, ageing people tend to forget things, including taking medicine. Failing to follow medication instruction may lead to serious side effects and can worsen their health. The advancement of technologies, especially in mobile applications, could assist senior citizens in managing their health. Therefore, this project proposes a mobile app for senior citizen health monitoring, developed to provide a health monitoring facility for senior citizens by exploiting advanced information and communication technologies. It aims to provide healthcare support for senior citizens to have greater control over monitoring their health. This application assists them daily in their life, such as organizing their medication and taking medicine on schedule with the correct doses. Other than that, the information about their health condition such as allergies, medicine intake, and doctor's information can be accessed quickly from their mobile device in case of emergency. This project was developed using the agile methodology.
The Effect of Adaptive Synthetic and Information Gain on C4.5 and Naive Bayes in Imbalance Class Dataset
Authors: Sulistiyono Mulia , Wirasakti Lucky Adhikrisna , Pristyanto Yoga
Published: January 2023

Class imbalance is a severe problem in classification due to the deep slope on the class axis. The dataset is dominated by the majority class, which has the potential for misclassification. Another problem in classification and clustering is that high-dimensional datasets are found that have the potential to affect the performance of classification algorithms in terms of computation and accuracy. In this study, the class imbalance was handled using the ADASYN k - NN resampling technique and the selection feature using Information Gain. Based on the evaluation results, the sampling contribution matrix can improve the classification model by improving the geometric mean value. The selection feature helps interpret data with more simple features but can reduce the accuracy of the results. The results showed that the implementation of ADASYN k-NN and Information Gain could increase the accuracy score and geometric mean score of Decision Tree C4.5 and Naive Bayes. For further work, this proposed method will be tested on multiclass imbalanced datasets.
Implementation of The Moving Average Method for Forecasting Inventory in CV. Tre Jaya Perkasa
Authors: Huriati Putri , Erianda Aldo , Alanda Alde , Meidelfi Dwiny , Rasyidah - , Defni - , Suryani Ade Irma
Published: January 2023

The supply chain is an organization's place to distribute production goods and services to customers. This chain is a network of various organizations that are interrelated and have the aim of carrying out the procurement or supply of goods. Inventory is storing goods in the form of raw materials, semi-finished goods or finished goods that will be used in the production or distribution process. CV. Tre Jaya Perkasa is a company engaged in the distribution of goods such as snacks, drinks and daily necessities. CV. Tre Jaya Perkasa is located in Solok, West Sumatra, Indonesia. From January 2020 to June 2021, CV. Tre Jaya Perkasa has made more than 10 thousand transactions. Based on the sales data, each period (month) of sales transactions can increase and decrease, and the company must plan product sales in the coming period. To maximize profits and minimize losses, a strategy is needed to maintain the availability of goods that are often purchased by customers. From historical transaction data, the company can predict how much stock should be provided for transactions in the coming period. The method used is the moving average method, to measure the error rate of forecasting, MAD, MSE and MAPE are used. Based on the research that has been done, then carried out on the product Trick Potato Biscuit BBQ 24 BOX X 10X18 forecasting comparison between using 3 periods and 5 periods, using 5 product data that are most often purchased by buyers, it was found that the average value of MAD, MSE and MAPE closer to 0 is to use 3-period forecasting.
Support Vector Regression Approach for Wind Forecasting
Authors: Yamin Mohamad , Giyats Ahmad Fakhri
Published: January 2023

The government policies to fully support the G20 sustainability emphasize increased use of renewable energy. The high penetration of wind energy into power systems poses many challenges for energy system operators, primarily due to the unpredictability and variability of wind energy production. Wind power may not be provided, but accurate forecasting of wind speed and power generation helps grid operators reduce the risk of reduced electricity reliability. Accurately predicting wind speeds over 1 to 24 hours based on these conditions is important for predicting potential energy supply. These short-term forecasts are important to support wind power planning, so the required base load supply for the grid is always guaranteed (even if the wind power output fluctuates significantly). This task demonstrates that the relative forecasting performance of a support vector regression (SVR) wind forecasting system can be improved by systematically selecting and combining related input functions that affect wind speed. Shows the results of data collected in Sidrap, Indonesia, during the six months of 2019. This paper explained key methods of wind forecasting, based on the evaluation of wind speeds and wind speed prediction methods. The RMSE from the SVR shows an 8% - 9% improvement on the RMSE of the persistence forecast every 1 hour. Wind speed estimation using a support vector regression approach has the potential for further development, one of which is determining the potential location of wind-based renewable sources and Wind Energy Conversion System (WECS) can make more efficient.
Development and Evaluation of a Cloud Computing Adoption Framework (CCAFF) for Retail Banks in Bahrain
Authors: Adwan Ehab Juma , Alsaeed Bader Ali
Published: January 2023

The Information Technology era supports the adoption of Cloud Computing (CC) on a large scale in many business fields, at which the Financial Institutions (i.e., Banking sector) is not an exception. Several gaps were found during an attempted literature reviewing. While several CC methods, strategies, or frameworks have been proposed or utilized for CC adoption in many economic sectors including the Financial institutes (FI)- Banking, it is still a relatively new initiative in many other countries including Bahrain. While Enterprise Architecture (EA) is claimed to be a leading information and business management discipline to develop an architecture that guides the transformation to CC adoption of an enterprise from a baseline state to a target state. However, there is an evident lack of scholarly articles on the development of CC adoption frameworks from EA perspective. Also, it was found that scholarly articles in the evaluation of CC adoption framework are scarce. To address those gaps, this paper aims at developing and evaluating a CCAFF for the CC adoption in Bahraini Banks by adapting a tailored version of the Open Group Architecture Framework (TOGAF) and embedding a tailored version of an enterprise cloud adoption strategy (ECAS) and then evaluating the CCAFF based on several criterions. A six phased Design Science Research Methodology (DSRM) is employed to design the research report, guide, and develop the CCAFF, while the exploratory nature of the research necessitates the employment of a holistic single Case Study strategy for an FI-01 bank, based on semi structured interviews and document analysis data collection techniques. Alongside, the data was analyzed using pattern matching technique. For the CCAFF evaluation, Delphi technique was employed at which seven experts in two rounded panels contribute to the evaluation findings based on six criterions. The evaluation findings demonstrated promising results in terms of ease of use (86.4%), usefulness (84.6%), decision making support (86.6%), comprehensiveness (85.8%), time efficiency (84.8%), and usage intention (84.8%).
Renovation of Crane Control System of Reach Stalker Ferari 178h1 Using Avr Atmega2560
Authors: Markis Lince , Wardana P.Susetyo , Syawaldipa Ardi
Published: January 2023

Container rental service companies or container parking facilities providers need container transportation equipment such as Crane Reach Stalker to move and arrange containers. Several container services companies in Surabaya such as Citra Mandiri Sejati have a Crane Reach Stalker made by Ferari Italy which experienced damage to the electrical control. After observing the control unit, the damage was in the hardware comparison system and the relay control used. Dealing with these problems, planning and improvement of the total control system were carried out using the ATMega2560 AVR microcontroller. However, the problem becomes complex and requires cooperation with Hydraulic control partners when the entire system must be resolved. From the renovation work on the Ferari 178H1 Load Handling Crane system for a year, it was obtained that the Load Handling control input data in which it was a joystick and a 3 positions button with an output level of 0 and 9 volts. Hydraulic control uses a Solenoid Valve type 4/3 with 2 input control coils, and in overall system testing, the average length of time for the movement of the Piston Crane is 6 to 12 seconds. From the test results using a 40 tons container load, it was stated by the Crane driver that the time used to carry out Load Handling for the Hydraulic type and the Crane's age was suitable and appropriate.
Fiber to The Home (FTTH) Network Design in Analyzing Macro Bending Problems in The Home Cable Installation Segment
Authors: Maria Popi , Asri Aprinal Adila , Yustini Yustini , Rimra Ihsan Lumasa , Prayama Deddy
Published: January 2023

Fiber to The Home (FTTH) is one of the optical networks used for every home in accessing the internet in the form of voice, data, and video. In this study, the authors built an FTTH design from a Handheld Light Source (HLS) as input, then connected it to ODC. Furthermore, it is connected with ODP, OTP, and ROSET. After building the design, the design was tested using the link power budget calculation method, which is 22.803 dB. As a result, the design has a total attenuation value of 18.4 dB which means it meets the standards and can be used. Next, analyze the problems that have the potential to cause macro bending interference in the FTTH home cable installation segment cable. The methods used in this macro bending problem are the HLS calibration method, Optical Power Meter (OPM) measurement, and Visual Fault Locator (VFL) macro damage detection. From this analysis, the results of macro bending will be obtained on the parameters of curvature diameter, the number of windings, and the search for critical angles of indoor cable macro bending. This macro bending in-home wiring installations affect the total attenuation value on FTTH. In addition, the macro bending of 3-winded indoor cables with a diameter of 0.5 cm on each winding still meets the standards in the FTTH design. However, for macro bending 5 windings with a diameter of 0.5 cm, each winding can cause the total attenuation value of FTTH to pass the Link power budget and ITU-T G984.
Incorporating Mobile-based Artificial Intelligence to English Pronunciation Learning in Tertiary-level Students: Developing Autonomous Learning
Authors: Sariani - , Miladiyenti Fithratul , Rozi Fazrol , Haslina Welsi , Marzuki Dony
Published: January 2023

EFL pronunciation learning is known to be teacher-centered, in which students are reliant on the feedback given by their teachers. Fortunately, the presence of technology-based learning tools is believed to be able to reduce students' dependency on teachers. A built-in Automatic Speech Recognition technology (ASR): ELSA Speak is a mobile-based application that could help students with pronunciation learning by providing prompt feedback and detailed evaluation of its users' pronunciation accuracy. The objective of this study was to examine the use of the mobile-based application, ELSA, in pronunciation learning and whether it could stimulate learners to become more autonomous. A mix-method approach was employed in this study. The quantitative data, in the forms of pre-test and post-test, was gathered through students' pronunciation recordings available in ELSA. This data was analyzed using the paired sample t-test. In addition, a Google Form questionnaire, in five-point Likert Scale, was used to support the quantitative findings. Meanwhile, a semi-structured interview with selected participants served as the qualitative one. These data were analyzed thematically based on the participants' responses. The result shows that incorporating mobile-based technology into English pronunciation learning could provide an opportunity for students to improve their pronunciation. Moreover, students could also broaden their repertoire of available practice strategies that might be useful to improve their autonomous learning ability.
The Application of IoT on Consumer Behaviour and Decision-Making Process
Authors: Khazaei Hamed , Wei Chng Kok , Sulaiman Shameer Khan Bin
Published: January 2023

The Internet of Things (IoT) is developing as a substantial tool in information technology. It can potentially enhance the efficiency and convenience of human life. This proposal presents a review of recent experimental studies that suggested applications of the Internet of Things (IoT) on consumer behaviour and decision-making processes. The studies have done review research in the domain of the IoT to measure or observe the consumer decision-making process. I believe there are still research gaps in this field. Several studies can present an understanding of the possible applications of IoT in marketing to sense potential consumer purchasing behavior and components of the decision-making process in detail.
Caribi Mobile Application Based on Radio Frequency Identification (RFID) for Internet of Things (IoT)
Authors: Faridah Linda , Rahayu Andri Ulus , Shopa Rahmi Nur , Sulastri Heni , Hiron Nurul , Nursuwars Firmansyah M S
Published: January 2023

Nowadays, the e-commerce industry in Indonesia is growing substantially and expanding annually. This is one of the revolutions that has affected various aspects of life, including animal husbandry. In Indonesia, buying and selling livestock has become routine; however, it is still conducted conventionally. Therefore, a system is required to facilitate online purchasing and selling transactions; thus, farmers can expand their enterprises. This study aimed to develop a mobile application for the online purchase and sale of livestock. The Caribi Mobile Application is built with a system that can provide consumers with accurate information by recording the tracks of each animal that will be sold. Each animal’s age, weight, and recent pictures are included. Tag RFID-based Internet of Things (IoT) system is used in searching for mobile applications. The RFID Tag System is used to carry out two functions at once, namely assistance and security. This application is designed to integrate livestock data from the internet and save it in a database. This study’s findings demonstrate that the system can read the data related to each farm animal. Additionally, the system has created data on the weights of each animal, which anyone with access to the Caribi Mobile Application can view.
A Multimodal Model of ECG and Heart Sound Signal by Considering Normal and Abnormal Heart
Authors: Oktivasari Prihatin , Haryanto Freddy , Suprijadi -
Published: January 2023

Analysis of the opening and closing of heart valves and the movement of blood flow in the heart are important in the domain of early detection of heart conditions. To build this correlation model, multimodal signals from electrocardiography and stethoscope are needed. Multimodal signaling was performed using primary data with the same sampling at 10 seconds by recording the PQRST heart signal in the lying position using electrocardiography and the heart sound in the sitting position using an electronic stethoscope. Experimental results showed that the number of R peaks is the same as the number of S1 sound peaks, and also the number of T peaks with the number of S2 sound peaks, so it can be concluded that there is a regular signal pattern relationship between S1-S2 and the RT wave, namely the relationship at the end of the first peak of the QRS wave. The cardiac signal due to ventricular depolarization (ventricular contraction), the appearance of an S1 heart sound, and the association of the end of the next peak of the T wave of cardiac signals indicate ventricular repolarization and the appearance of an S2 heart sound. This is consistent with the fact that electrical events in cardiac activity occur before mechanical events in normal heart conditions. Based on the study of HRV parameters, heart sound signals can be used to determine HRV parameters. The results show the same number of peaks in normal hearts, while in abnormal hearts, there are differences in results because abnormal heart conditions have an erratic rhythmic pattern.
Manufacture artificial intelligence education kit using Jetson Nano and 3D printer
Authors:   Korean Institute of Smart Media, Park SeongJu , Kim Nam-Ho
Published: January 2023

In this paper, an educational kit that can be used in AI education was developed to solve the difficulties of AI education. Through this, object detection and person detection in computer vision using CNN and OpenCV to learn practical-oriented experiences from theory-centered and user image recognition (Your Own) that learns and recognizes specific objects Image Recognition), user object classification (Segmentation) and segmentation (Classification Datasets), IoT hardware control that attacks the learned target, and Jetson Nano GPIO, an AI board, are developed and utilized to develop and utilize textbooks that help effective AI learning made it possible.
Data-Driven Approach for Lithium-Ion Battery Remaining Useful Life Prediction: A Literature Review
Authors:   Korean Institute of Smart Media, Van Luon Tran , Choi Deokjai , Lam Tran Ha
Published: January 2023

Nowadays, lithium-ion battery has become more popular around the world. Knowing when batteries reach their end of life (EOL) is crucial. Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is needed for battery health management systems and to avoid unexpected accidents. It gives information about the battery status and when we should replace the battery. With the rapid growth of machine learning and deep learning, data-driven approaches are proposed to address this problem. Extracting aging information from battery charge/discharge records, including voltage, current, and temperature, can determine the battery state and predict battery RUL. In this work, we first outlined the charging and discharging processes of lithium-ion batteries. We then summarize the proposed techniques and achievements in all published data-driven RUL prediction studies. From that, we give a discussion about the accomplishments and remaining works with the corresponding challenges in order to provide a direction for further research in this area.
Sharia Financial Performance Perspective: Business or Compliance Oriented
Authors: Indrianasari Neny Tri , Puspitasari Novi , Sukarno Hari
Published: January 2023

There is a lot of controversy inthe literature on how to measure the performance of an Islamic Bank (IB). In short, the business model of Islamic banks is different from that of traditional banks. Therefore, the effectiveness of Islamic banks should be measured using the Sharia approach. One of the important pillars of the development of Sharia banking is Sharia compliance. Pillar this is the main difference between Islamic banks and traditional banks. A sharia supervisory board, or sharia supervision, is necessary to ensure the implementation of sharia principles in banking institutions. In this article, we consider the zakat (Islamic tax) as an alternative indicator for measuring the effectiveness of Islamic banks. Zakat in business is very important, both from an Islamic point of view and from the point of view of poverty reduction. Zakat spending by banks can enhance the image of Islamic banks that exist as banking companies operating in accordance with Islamic law.
Análisis sobre la metodología de conservación del plástico aplicado en obras artísticas contemporáneas
Authors: Jiménez Martínez Karla Lilia
Published: January 2023

Con base en el análisis comparativo de diversos casos de estudio relativos a la aplicación del Modelo de toma de decisiones para la conservación y restauración de arte moderno y contemporáneo para la solución de problemáticas de conservación de piezas realizadas con plástico, se propone ahondar en los alcances, retos, implicaciones y resultados del tema, pues el plástico es un material industrial no producido ex profeso para la creación artística que, usado en ese campo, reviste características y propiedades particulares que influyen en su comportamiento, en su deterioro y, por lo tanto, en su durabilidad. Su carácter efímero, pues, hace que cuestionemos la manera en que debe conservarse este tipo de obras, en las que lo más importante es el concepto. _____ Based on the comparative analysis of several case studies related to the application of The Decision-Making Model for the Conservation and Restoration of Modern and Contemporary Art to solve conservation problems of works created with plastic, I propose to delve into the reaches, challenges, implications and results of this subject, since plastic is an industrial material not produced ex profeso for artistic creation which, when used in this field, presents specific characteristics and properties that influence its behavior, deterioration and hence durability. Thus, its ephemeral character makes us question how to conserve such works, where the concept is the most important.
La valoración de los postizos como un recurso naturalista de la imaginería virreinal
Authors: Murguía Meca Mercedes
Published: January 2023

Este artículo de investigación es una reflexión sobre el concepto y la aplicación del término postizo en la imaginería-escultura religiosa, su valoración actual y su significado como elemento que no es propio de la talla, sino agregado, como es el caso de los ojos de vidrio, pestañas de pelo, dientes y uñas de hueso —no así las vestimentas y otros elementos, como asientos o coronas—; esto implica que los restauradores en formación frecuentemente cuestionen el papel que desempeña este elemento en la manufactura de la obra. Por lo anterior, en este texto propongo que los postizos deben de ser concebidos como parte integral del proceso de creación de una escultura, al ser un recurso recurrente, para dotarla de mayor naturalidad, complementando el trabajo de la madera, no importando los materiales que se requieran “añadir”. Para sustentar esta propuesta se utilizarán ejemplos de piezas referenciales que ofrecen un mejor entendimiento de la imaginería virreinal. _______ This research article is a reflection on the concept and application of the term postizo in religious sculpture, both in its current valuation as an element that is not part of the sculpting but added, such as the case of glass eyes, hair eyelashes, teeth and nails made from bone—not so the clothing and other elements, such as bases or crowns—. All this implies that restorers in training frequently question the role that this element play’s in the piece’s creation. For the above, it is why in this text I propose that postizos should be conceived as an integral part of the statue’s creation process, being a recurring resource, which provides greater realism, complementing the woodwork, regardless of the materials that must be “added”. To support this proposal, referential pieces that offer a greater understanding of viceregal imagery will be used as examples.