bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of income level and welfare of fishing gear fishers in Barombong Village, Makassar City South Sulawesi Province
Authors: Roswiyanti Roswiyanti , Ummung Andi , Massiseng Andi Nur Apung
Published: July 2022

This study aimed to analyze the income level of fishing gear fishers and analyze the welfare level of fishing gear fishers in Barombong Village, Makassar City, South Sulawesi Province. Techniques data collection is done using observation, interviews using questionnaires and documentation. The type of data collected is data that is by the prosperous family indicators based on the 2019 BPS, namely; income data, household consumption or expenditure data, living conditions, household facilities, the health of family members, ease of obtaining health services, ease of entering children into education level and ease of securing transportation facilities. This research was carried out in Barombong Kacan Tamalate Village, Makassar City, in February - April 2021. The results showed that fishing gear fishermen respondents' average income per year was Rp. 36,905,833/year or Rp. 3,075,486/month and fall into the category of low-income level. Based on the 2019 BPS indicators, it is known that 24 respondents from 10 groups of fishing gear fishermen in the Barombong Village, Makassar City belong to the high welfare level as many as  8 respondents (33%) with a total indicator score of 20. As many as 16 respondents (67%) belong to the moderate welfare level with total indicator scores ranging from 18-19. Based on these results, it can be seen that the standard of living of fishing gear fishers in the Barombong Village, Makassar City, is classified as prosperous, with the fact that the income of respondents is low. Still, most of the life support has been provided by the government, especially in the health and education sectors, so that it does not burden household expenses. The addition of new jobs needs to be done as another source of income to increase welfare from a moderate level of interest to a high level of welfare.
DNA damage and shell malformation in Blue Mussel, Mytilus edulis
Authors: Yaqin Khusnul
Published: July 2022

Pollutants in waters that cause DNA damage, such as tributyltin, have been known to cause malformations in the mussel shell, which need attention to be studied. Shell malformations or deformities of blue mussels were observed in Norsminde Fjord harbour.  The mean shell thickness index of blue mussels from the polluted site was greater than it from expected clean waters.  DNA damages detected using the versatile comet assay which expressed as tail length and olive tail moment were evaluated in blue mussels gill cells both in situ and in vitro.  The results showed that the average of DNA damages in treatments, namely the polluted site, tributyltin chloride (TBTC) (10 g/l), and hydrogen peroxide (H2O2) (10 M) were different from the expected unpolluted site.  Although comet assay is considered as an unspecific assay, the results proposed the similarity of DNA damage character of blue mussel gill cells when exposed to tributyltin chloride and taken directly from the polluted site. The data obtained are important for assessing the environmental risks created by genotoxic agents, e.g. tributyltin, used as antifouling agents in marine paints.
Morphometric characteristics of red crab (Thalamita spinimana) in Dompak Tanjungpinang Waters, Riau Islands
Authors: Triana Aprilya , Susiana Susiana , Muzammil Wahyu , Kurniawan Dedy
Published: July 2022

The morphometric characteristics of the red crab (Thalamita spinimana) have not been widely studied. This research was conducted from March to May 2021 in the waters of Dompak Tanjungpinang, Riau Islands. Each sample obtained directly measured the morphometric part using a caliper or calipers with an accuracy of 0.05 mm and the crab body weight was also weighed using a digital scale with an accuracy of 0.1 g. The samples obtained during the study were 119 crabs, of which 84 female red crabs and 35 male red crabs. The carapace width range for female crabs is 55.40 – 88.32 mm, while in male crabs the carapace width range is 16.35 and 34 individuals 68.96 – 90.94 mm. The weight of female red crabs is in the range of 50.0 – 103.6 g, while the weight of male crabs is in the range of 49.0 – 142.8 g.
Manifesto de Libertação: o Discurso-programa de Nazaré (Lc 4,16-21)
Authors: Samain E.
Published: July 2022

A pregação de Jesus não se pode encerrar em nenhum dos esquemas políticos ou religiosos do seu tempo e de nosso tempo. Isso não quer dizer que ela seja apolítica no sentido etimológico da palavra, que ela deixe de influir sobre a organização da cidade terrestre...
Vida e Obra de S. Boaventura
Authors: Vier Raimundo
Published: July 2022

Com efeito, a despeito da fama imensa que gozou entre os seus coevos — como um dos mestres mais celebrados da Universidade de Paris, como Ministro Geral de uma das maiores Ordens do tempo, como pregador popularíssimo, como cardeal e bispo, como organizador do concílio de Lyon, como legado pontifício junto ao mesmo concílio —, não possuímos uma só biografia contemporânea deste luminar da igreja, da teologia e da filosofia do século XIII. A única biografia propriamente dita, de Boaventura, escrita nesse século, de que se tem notícia, é a de um certo João Egídio Zamorra, franciscano espanhol, autor do livro De Viris illustribas ou Historia canonica et civilis. Infelizmente, esta obra parece estar irremediavelmente perdida...
State of the intensity of the light power of the light-curing lamps of the faculty of dentistry clinic of the University of Cuenca, school year 2021-2022
Authors: Jenny Fernanda Pillacela  , Michelle Fernanda Cabrera  , Felipe Andrés Jaramillo  , Manuel Estuardo Bravo
Published: July 2022

Objective: The purpose of this study was to determine the intensity of the light power and the integrity of the active part of the curing lights of the Faculty of Dentistry Clinic of the University of Cuenca in the March-August 2022 term. Lack of knowledge of light-curing units, leads dentists to purchase low-quality equipment, thinking that they all work with the same efficiency, compromising the long-term success of restorations. Therefore, it is important to know the ideal characteristics of a light-curing lamp. Materials and methods: This is a descriptive and observational study whose sample is made up of 72 light-curing lamps assigned by the clinic and the lamps of each student who is attending the clinic. For the development of the project, a radiometer was used. Results: Of the 72 lamps analyzed, 54 (75%) are LED devices and they correspond to the students. Of which, 47 (87.03%) are effective because they have a power greater than 800 𝑚𝑊/𝑐𝑚2. On the other hand, the 18 (25%) are part of the cabin group, in this case there are 15 halogen devices (83.33%) and 3 LED devices (16.67%). Of which, 3 (20%) halogen lamps are effective, while 1 (33.33%) LED device is effective with a power greater than 800 at 𝑚𝑊/𝑐𝑚2. Conclusion: An adequate polymerization is crucial to obtain good mechanical and physical properties and excellent clinical results of the material.
Study of water vapor sorption by cellulose esters with different degrees of substitution
Authors: Michael Ioelovich
Published: July 2022

In this research, the sorption of water vapor (WV) by various cellulose esters with different degrees of substitution (SD) has been studied. It was found that if the sorption value is measured in moles of H2O per mole of repeating units of the esters, then sorption properties depend only on the degree of substitution and not on the type of substituent. The lowest sorption is observed for triesters due to the absence of hydroxyl groups, which have the greatest contribution to the sorption process. To describe sorption isotherms, a calculating equation A = Ao(1- K lnφ)-1 was derived, where Ao is the maximum sorption value at relative vapor pressure φ=1, and K is the coefficient. This equation allows adequately describing experimental S-shaped sorption isotherms of WV for various esters having different SD. It was shown that the most probable sorption mechanism is the binding of polar water molecules by polar groups of various esters.
Golden proportion and facial esthetic, the harmony and surgical considerations: A review
Authors: Saba Amirfarhangi  , Amirhossein Vakili  , Laleh radfar  , Neda Tajbakhsh
Published: July 2022

Beauty is achieved when using the concept of balance. Several authors have suggested that delicate facial appearance has optimized proportions correlated with the golden proportion. Some authors recommended the application of the golden ratio theory to correlate the successive wideness of the anterior teeth, as observed from the labial angle. It was also revealed that the central incisor width must be in golden proportion to the wideness of the lateral incisor and that the lateral incisor must be in golden proportion to the wideness of the canine whenever examined from the front. Various studies have supported the application of divine proportion in dentistry. The primary objective of this mini-review is to outline the relationship between facial esthetic and divine proportion and highlight the use of rhinoplasty for facial esthetics.
Pola Komunikasi persuasif Pimpinan Universitas dalam Mengatasi Demonstrasi Mahasiswa di Kampus Universitas Muhammadiyah Makassar
Authors: Iqbal Muh , Parawangi Anwar , Arni Arni
Published: July 2022

Penelitian ini bertujuan untuk mengetahui komunikasi persuasif Pimpinan Universitas Muhammadiyah Makassar Dalam Mengatasi Demonstrasi . Jenis dan tipe yang digunakan dalam penelitian ini adalah jenis penelitian kualitatif dengan tipe deskriptif kualitatif . informan dalam penelitian ini sebanyak 5 orang. Teknik pengumpulan data dalam penelitian ini adalah observasi , wawancara , dan dokumentasi . Teknik analisis data yang digunakan dalam penelitian ini adalah reduksi data , penyajian data, penarikan kesimpulan . Hasil penelitian ini menunjukkan bahwa bahwa komunikasi persuasif Pimpinan Universitas Dalam Mengatasi Demonstrasi Merujuk 2 aspek yaitu : (1). Pola Komunikasi persuasif kognitif yaitu dengan memberikan penjelasan serta pemahaman untuk demonstran dan (2). Pola Komunikasi efektif yaitu dengan membangun kepercayaan dengan demonstran.
Lightweight Generative Adversarial Network Fundus Image Synthesis
Authors: Abd Aziz Nurhakimah , Hanif Sulaiman Mohd Azman , Zabidi Azlee , Yassin Ihsan Mohd , Megat Ali Megat Syahirul Amin , Rizman Zairi Ismael
Published: July 2022

Blindness is a global health problem that affects billions of lives. Recent advancements in Artificial Intelligence (AI), (Deep Learning (DL)) has the intervention potential to address the blindness issue, particularly as an accurate and non-invasive technique for early detection and treatment of Diabetic Retinopathy (DR). DL-based techniques rely on extensive examples to be robust and accurate in capturing the features responsible for representing the data. However, the number of samples required is tremendous for the DL classifier to learn properly. This presents an issue in collecting and categorizing many samples. Therefore, in this paper, we present a lightweight Generative Neural Network (GAN) to synthesize fundus samples to train AI-based systems. The GAN was trained using samples collected from publicly available datasets. The GAN follows the structure of the recent Lightweight GAN (LGAN) architecture. The implementation and results of the LGAN training and image generation are described. Results indicate that the trained network was able to generate realistic high-resolution samples of normal and diseased fundus images accurately as the generated results managed to realistically represent key structures and their placements inside the generated samples, such as the optic disc, blood vessels, exudates, and others. Successful and unsuccessful generation samples were sorted manually, yielding 56.66% realistic results relative to the total generated samples. Rejected generated samples appear to be due to inconsistencies in shape, key structures, placements, and color.
Hand Gesture Recognition Based on Continuous Wave (CW) Radar Using Principal Component Analysis (PCA) and K-Nearest Neighbor (KNN) Methods
Authors: Rahman Muhammad Khairani Abdul , Abdul Rashid Nur Emileen , Ismail Nor Najwa , Zakaria Nor Ayu Zalina , Khan Zuhani Ismail , Enche Ab Rahim Siti Amalina , Mohd Isa Farah Nadia
Published: July 2022

Human-computer interaction (HCI) is a field of study studying how people and computers interact. One of the most critical branches of HCI is hand gesture recognition, with most research concentrating on a single direction. A slight change in the angle of hand gestures might cause the motion to be misclassified, thereby degrading the performance of hand gesture detection. Therefore, to improve the accuracy of hand gesture detection, this paper focuses on analyzing hand gestures based on the reflected signals from two directions, which are front and side views. The radar system employed in this paper is equipped with two sets of 24 GHz continuous wave (CW) monostatic radar sensors with a sampling rate of 44.1 kHz. Four different hand gestures, namely close hand, open hand, OK sign, and pointing down, are collected using SignalViewer software. The data is stored as a waveform audio file format (WAV) where one data consists of 20 segments, and the data is then examined by using MATLAB software to be segmented. To evaluate the effectiveness of the classification system, principal component analysis (PCA) and k-nearest neighbor (KNN) are integrated. The PCA findings are depicted in Pareto and 2-D scatter plot for both radar directions. The Leave-One-Out (LOO) method is then used in this analysis to verify the accuracy of the classification method, which is represented in the confusion matrix. At the end of the analysis, the classification results indicated that both angles achieved near-perfect accuracy for most hand gestures.
A Multi-Agent Simulation Evacuation Model Using The Social Force Model: A Large Room Simulation Study
Authors: Hussain Norhaida , Shiang Cheah Wai , Loke Seng , Khairuddin Muhammad Asyraf bin
Published: July 2022

Research on evacuation simulation has received significant attention over the past few decades. Disasters, whether they were caused by nature or by humans, which claimed lives were also the impetus for the establishment of various evacuation studies. Numerous research points to the possibility of simulating an evacuation utilizing the Social Force Model (SFM) and a leading person or leader, but without using the multi-agent architecture. Within the scope of this article, the multi-agent architecture for crowd steering that we suggest will be investigated. The architecture will utilize a model known as the Social Force Model to figure out how evacuees will move around the area. After this step, the model is simulated in NetLogo to determine whether the architecture can model the evacuation scenario. A simulation test is carried out for us to investigate the degree to which the behavior of the original SFM and the message-passing model is comparable to one another. The result demonstrates that the proposed architecture can simulate the evacuation of pedestrians. In addition, the simulation model can simulate utilizing the grouping strategy as well as the no grouping technique. The findings also showed that the model can capture many evacuation patterns, such as an arch-shaped pattern at the opening of the exit.
Development on Deaf Support Application Based on Daily Sound Classification Using Image-based Deep Learning
Authors: An Ji-Hee , Koo Na-Kyoung , Son Ju-Hye , Joo Hye-Min , Jeong Seungdo
Published: July 2022

According to statistics, the number of hearing-impaired persons among the disabled in Korea accounts for 27% of all persons with disabilities. However, there is insufficient support for the deaf and hard of hearing's protective devices and life aids compared to the large number. In particular, the hearing impaired misses much information obtained through sound and causes inconvenience in daily life. Therefore, in this paper, we propose a method to relieve the discomfort in the daily life of the hearing impaired. It analyzes sounds that can occur frequently and must be recognized in daily life and guide them to the hearing impaired through applications and vibration bracelets. Sound analysis was learned by using deep learning by converting sounds that often occur in daily life into the Mel-Spectrogram. The sound that actually occurs is recorded through the application, and then it is identified based on the learning result. According to the identification result, predefined alarms and vibrations are provided differently so that the hearing impaired can easily recognize it. As a result of the recognition of the four major sounds occurring in real life in the experiment, the performance showed an average of 85% and an average of 80% of the classification rate for mixed sounds. It was confirmed that the proposed method can be applied to real-life through experiments. Through the proposed method, the quality of life can be improved by allowing the hearing impaired to recognize and respond to sounds that are essential in daily life.
Design of a Big-data-Based Decision Support System for Rational Cultural Policy Establishment
Authors: Lee Youngseok , Cho Gimoon , Cho Jungwon
Published: July 2022

This paper proposes a technique for designing a decision-making system based on big data to support rational cultural policy decisions. To identify a rational cultural policy, it is necessary to extract a comparable index for cultural policy and analyze and process factors in terms of cultural supply and cultural consumption. Analyzed and processed supply indices and consumption indices become the basic input data for calculating additional cultural indices that can be measured at the cultural level of each region. Regional cultural indices are treated as independent variables in terms of cultural supply, and target variables are considered in terms of cultural demand. Two corresponding types of regression models are established. Based on the eXtreme gradient boosting and light gradient boosting machine algorithms, which are representative algorithms for calculating cultural indicators, we attempted to construct and analyze a model of the proposed system. The developed model is designed to predict the demand index according to the regional cultural supply index. It was confirmed that the demand side could be changed based on supply-side items by using the proposed technique to support decision-making. Due to the complexity of the policy environment of modern society, mixing various policy tools targeting multiple functions is accepted as a common basis for policy design, but institutional arrangements are needed to reflect the results of various data analyses in budget decision-making. This will be possible to produce data based on effectiveness and suggest appropriate rational policies and decisions.
Batik Classification Using Convolutional Neural Network with Data Improvements
Authors: Meranggi Dewa Gede Trika , Yudistira Novanto , Sari Yuita Arum
Published: July 2022

Batik is one of the Indonesian cultures that UNESCO has recognized.Â Batik has a variety of unique and distinctive patterns that reflect the area of origin of the batik motif. Batik motifs usually have aÂ 'core motif' printedÂ repeatedly on the fabric. The entry of digitization makes batik motif designs more diverse and unique.Â However, withÂ so many batik motifs spread on the internet, it is difficult for ordinary people to recognize the types of batik motifs. This makes an automatic classification of batik motifs must continue to be developed. Automation of batik motif classification can be assisted with artificial intelligence. Machine learning and deep learning have producedÂ muchÂ good performance in image recognition. In this study, we use deep learning based onÂ a ConvolutionalÂ Neural Network (CNN) to automate the classification of batik motifs. There are two datasets used in this study. The old dataset comes from a public repositoryÂ with 598Â data withÂ fiveÂ types of motifs. Meanwhile, the newÂ datasetÂ updatesÂ the old dataset by replacing the anomalous data in the old datasetÂ with 621 dataÂ with five types of motifs. TheÂ lereng motif is changed to pisanbali due to the difficulty of obtainingÂ the lerengÂ motif. Each dataset was divided intoÂ threeÂ ways: original, balance patch, and patch. We used ResNet-18 architecture, whichÂ used a pre-trained model to shorten the training time. The best test results were obtained in the new dataset with the patch way of 88.88 % Â±0.88, andÂ in the old dataset, the best accuracy was found in the patch way on the test data of 66.14 % Â±3.7. The dataÂ augmentationÂ in this study did not significantly affect the accuracy because theÂ most significantÂ increase in accuracy is only up to 1.22%.
Developing Fire Evacuation Simulation Through Emotion-based BDI Methodology
Authors: Paschal Celine Haren , Shiang Cheah Wai , Wai Sim Keng , Bin Khairuddin Muhammad Asyraf
Published: July 2022

Fire evacuation simulation is a tool to study human behavior in dealing with fire. It has been used for safety policy management studies, building safety analysis, and human safety understanding. To date, modeling the fire evacuation behavior is paying much attention in which works have been done to design and develop building model, fire model, human decision model, and human emotion decision model. As fire evacuation simulation is important, the BDI methodology is introduced by authors to ease modeling and simulation of human behavior in a fire evacuation. Continue the success of capturing and modeling the human behavior in a fire evacuation. This paper presents the influence of human emotion in fire evacuation simulation. In this paper, the emotion-based BDI methodology is presented with a walkthrough example of how emotion can influence the human decision in a fire spreading scenario. The OCEAN model of personality is used to handle the emotional properties in the methodology. Different people have different types of personalities, which can affect both decision-making and emotion in different situations. A fire evacuation simulation is developed by using the Unity3D game engine. The simulation is created based on the emotion-based BDI methodology presented. Hence, the emotion-based BDI methodology can be used to model human behavior and emotional states in a fire evacuation. Overall, the paper introduces a new insight into how to model human behavior in fire evacuation decision-making systematically.
Cataract Classification Based on Fundus Images Using Convolutional Neural Network
Authors: Simanjuntak Richard Bina Jadi , Fuâ€™adah Yunendah , Magdalena Rita , Saidah Sofia , Wiratama Abel Bima , Ubaidah Ibnu Daâ€™wan Salim
Published: July 2022

A cataract is a disease that attacks the eye's lens and makes it difficult to see. Cataracts can occur due to hydration of the lens (addition of fluid) or denaturation of proteins in the lens. Cataracts that are not treated properly can lead to blindness. Therefore, early detection needs to be done to provide appropriate treatment according to the level of cataracts experienced. In this study, a comparison of cataract classification based on fundus images using GoogleNet, MobileNet, ResNet, and the proposed Convolutional Neural Network was carried out. We compared four CNN architectures when implementing the Adam optimizer with a learning rate of 0.001. The data used are 399 datasets and augmented to 3200 data. This test's best and most stable results were obtained from the proposed CNN model with 92% accuracy, followed by MobileNet at 92%, ResNet at 93%, and GoogLeNet at 86%. We also make comparisons with previous research. Most of the previous studies only used two to three class categories. In this study, the system was improved by increasing system classifies into four categories: Normal, Immature, Mature, and Hypermature. In addition, the accuracy obtained is also quite good compared to previous studies using manual feature extraction. This study is expected to help medical staff to carry out early detection of cataracts to prevent the dangerous effect of cataracts and appropriate medical treatment. In the future, we want to expand the number of datasets to improve the classification accuracy of the cataract detection system.
Classification of Diabetic Retinopathy Disease Using Convolutional Neural Network
Authors: Minarno Agus Eko , Cokro Mandiri Mochammad Hazmi , Azhar Yufis , Bimantoro Fitri , Nugroho Hanung Adi , Ibrahim Zaidah
Published: July 2022

Diabetic Retinopathy (DR) is a disease that causes visual impairment and blindness in patients with it. Diabetic Retinopathy disease appears characterized by a condition of swelling and leakage in the blood vessels located at the back of the retina of the eye. Early detection through the retinal fundus image of the eye could take time and requires an experienced ophthalmologist. This study proposed a deep learning method, the Efficientnet-b7 model to identify diabetic retinopathy disease automatically. This study applies three preprocessing techniques that could be implemented in the dataset "APTOS 2019 Blindness Detection". In preprocessing technique trial scenarios, Usuyama preprocessing technique obtained the best results with accuracy of 89% of train data and 84% in test data compared to Harikrishnan preprocessing technique which has 82% accuracy in test data, and Ben Graham preprocessing has 81% accuracy in test data. In this study, Hyperparameter tuning was conducted to find the best parameters for use on the EfficientNet-B7 Model. In this study, we tested the Efficientnet-B7 model with an augmentation process that can reduce the occurrence of overfitting compared to models without augmentation. Preprocessing techniques and augmentation techniques can influence the proposed EfficientNet-B7 model in terms of performance results and reduce the overfitting of models.
Tree-based Filtering in Pulse-Line Intersection Method Outputs for An Outlier-tolerant Data Processing
Authors: Damarjati Cahya , Trinanda Putra Karisma , Wijayanto Heri , Chen Hsing-Chung , Nugraha Toha Ardi
Published: July 2022

Pulse palpation is one of the non-invasive patient observations that identify patient conditions based on the shape of the human pulse. The observations have been practiced by Traditional Chinese Medicine (TCM) practitioners since thousands of years ago. The practitioners measure the patientâ€™s arterial pulses in three points of both patient wrists called chun, guan, and chy, then diagnose based on their knowledge and experience. Pulse-Line Intersection (PLI) method extract features of each pulse from the observed pulse wave sequence. PLI is performed by summing the number of intersections between the artificial line and the pulse wave. The method is proven in differentiating between hesitant with moderate pulse waves. As the method implemented in Clinical Decision Support System (CDSS) related to pulse palpation, some outlier data might emerge and affect the measurement result. Thus, outlier filtering is needed to prevent unnecessary prediction processes by machine learning (ML) models inside CDSS. This study proposed an outlier filtering model using a decision tree algorithm. This concept is designed by analyzing pulse features values and the chance of odd values combination. Then inappropriate values are excepted using several rules. Every pulse feature list that did not pass the filtering rule is categorized as outliers and were not included for further process. The proposed model works more efficiently than ML models dealing with outliers since this procedure is unsupervised learning with a small number of parameters. Overall, the proposed filtering method can be used in pulse measurement applications by eliminating outlier data that might decrease the performance of ML models.
Implementing Random Forest Algorithm in GEE: Separation and Transferability on Built-Up Area in Central Java, Indonesia
Authors: Rudiastuti Aninda W. , Lumban-Gaol Yustisi , Silalahi Florence E. S. , Prihanto Yosef , Pranowo Widodo S.
Published: July 2022

Measuring the status of achievement of the SDGs is the task and concern of many countries in the world, including Indonesia. Indicators for achieving the SDGs enclose three main pillars, namely environmental, economic, and social. The updated land use/land cover information is needed for environmental pillars. One imperative land cover information is built-up land, which acts as a detector for expanding urban areas and measuring SDGs' target indicators. Indonesia's cultural diversity affects the distribution pattern of built-up land, especially settlements. This is a challenge in the up-to-date and rapid mapping of built-up land. This research aims to analyze the ability and transferability of the Random Forest model for built-up areas and settlements using Google Earth Engine (GEE) in Banyumas, Cilacap, and Tegal. Around 19 predictors from multi-sources satellites are integrated to identify four land cover classes. Discussion on predictor composition to improve model accuracy also carried on. The results showed that the algorithm separated four land cover classes, with the highest accuracy for separating water bodies and other classes (vegetation and open land), OA above 90%. Machine confusion regarding the separation between housing classes and other buildings was still found (F1 score 0.67 - 0.69). Applying the model to the other two areas resulted in a similar statistical trend to the trained model. However, the classification method developed in this paper can assist in the rapid description of land cover if up-to-date data from official sources are not available.
Prototype of Integrated National Identity Storage Security System in Indonesia using Blockchain Technology
Authors: Fathiyana Rana Zaini , Yutia Syifa Nurgaida , Hidayat Dinda Jaelani
Published: July 2022

Approximately 29 institutions in Indonesia issue were identifying numbers, such as ID cards, driving licenses, BPJS, etcetera. In general, the identity storage system is designed with a centralized system and managed by each government agency. However, this system has some disadvantages, like data replication and redundancy. Furthermore, the Indonesian government is now undertaking a program through the Ministry of Home Affairs to use population data for public services by providing access to organizations cooperating for population data use. With a centralized database managed by a single entity, data abuse can occur and rely on third parties, the sole authority of the national identity data. The blockchain-based solution described in this paper to integrate a national identity system can provide the advantages of a population data utilization program. The system designed can facilitate convenience in sharing and updating population data while also ensuring the security and integrity of the population data. The citizens do not have to worry about the possibility of data misuse by user institutions. Blockchain technology offers decentralization through the participation of members across a distributed network. There is no single point of failure, and no single user may alter the transaction record. Our proposed approach could help the government of Indonesia secure citizens' private information and increase transparency in information management.
Intelligent Warehouse Picking Improvement Model for e-Logistics Warehouse Using Single Picker Routing Problem and Wave Picking
Authors: Diah Damayanti Dida , Novitasari Nia , Bayu Setyawan Erlangga , Suksessanno Muttaqin Prafajar
Published: July 2022

Abstractâ€” The development and use of technological innovations have changed people's behavior from an industrial society to an information society. It can be seen in the increase in people's consumption patterns from trading through physical stores (offline) to trading through electronic systems, often referred to as e-commerce. Logistics services are distribution actors in the downstream line which are tasked with delivering products from the fulfillment center from e-commerce to the end customer. The uncertainty of the number of requests is the biggest challenge for logistics service players. The growth of e-commerce has also led to an increase in sales volume in e-commerce which has given rise to a new generation of warehouses that are specifically tailored to the special needs of online retailers who directly serve the demands of end-customers in the business-to-consumer (B2C) segment. Traditional warehousing systems cannot handle orders with the characteristics of many transactions but smaller sizes. In addition, warehouses that handle e-commerce are also required to have a fast process in the warehouse because shipments must be made on the same day. In this study, the author aims to perform calculations to find the optimal order picking time in the warehouse, so orders in e-commerce can be processed faster by comparing the picking process time using ordinary Single Picker Routing Problem (SPRP) and combined with the concept of wave picking using Genetic Algorithm (GA). Based on a theoretical study in this paper, the combination between SPRP and wave picking can reduce 42.28% picking time.Â
Radikalisme dan Terorisme di Negara-Negara Muslim dan Non-Muslim
Authors: Ryandi Ryandi
Published: July 2022

Artikel ini berupaya menelusuri secara analisis radikalisme dan terorisme di negara-negara Muslim dan non-Muslim. Penelusuran data merujuk pada “Country Reports on Terrorism 2017” laporan Biro Anti Terorisme Amerika Serikat, yang dirilis bulan September 2018. Dapat disimpulkan bahwa pemaknaan dan identifikasi terhadap radikalisme dan terorisme masih ambigu. Bagi Barat sendiri (AS) radikalisme dan terorisme adalah segala hal yang menentang dan bertentangan dengan Barat. Apa yang diistilahkan sebagai radikalisme dan terorisme hanyalah values judgment yang belum tentu sesuai dengan fakta, bahkan dibuat untuk—dalam konteks politik global—melanggengkan hegemoni Barat terhadap dunia Muslim.
Politik Moderasi Beragama di Indonesia di Era Disrupsi: Menuju Dialog Spiritual-Humanis
Authors: Kamal Aulia
Published: July 2022

Artikel ini mendiskusikan soal moderasi beragama yang dikampanyekan di Indonesia dengan menempatkannya dalam kerangka demokratisasi dan konteks era industri 4.0. Data dikumpulkan melalui studi pustaka, lalu dianalisis secara deskriptif. Artikel ini menunjukkan bahwa; politik moderasi beragama yang selama ini didorong oleh penguatan teologis-kebangsaan melalui “Islam Nusantara” tidak berhasil dengan baik, begitupula dengan pendekatan dialog seremonial. Politik moderasi beragama juga didukung oleh usaha-usaha demokratisasi melalui perlindungan hukum terkait kebebasan beragama; akan tetapi di sisi lain moderasi beragama dan demokrasi menghadapi tantangan serius dari gelombang revolusi industri 4.0. Artikel ini juga menawarkan model dialog spiritual-humanis sebagai pendekatan alternatif bagi  pemerintah dalam membangun moderasi beragama di era disrupsi.
Spiritualisme dan Politik di Indonesia
Authors: Utomo Wahyu Wiji
Published: July 2022

Banyak orang menilai politik sebagai suatu alat untuk meraih kekuasaan, hal tersebut tidaklah salah namun di sisi lain politik memiliki tujuan yang mulia. Tujuan penelitian ini berfokus tentang problematika politik Indonesia yang mengalami kekosongan spiritual dan pengaruh gerakan spiritualisme terhadap politik. Metode yang digunakan adalah metode kualitatif dengan penelitian analisis deskriptif untuk melihat berbagai aspek mengenai berbagai problematika politik saat ini. Akibat adanya kekosongan spiritual ditemukan bahwa politik yang berkembang tidak memiliki arah dan tujuan, sehingga politik hanya berorientasi pada kekuasaan dan bukan pada rakyat. Dengan ini setidaknya politik di Indonesia harus kembali kepada ruh filosofis, tujuanya yaitu adalah mensejahterakan rakyat,. Solusi yang ditawarkan adalah gagasan mengenai perbaikan spiritualisme politik, dengan agama sebagai dasar untuk memperbaiki keadaan politik saat ini.
Investigation of Internal Gas Leakage on the Gate Valve using Acoustic Signal
Authors:   Department of Mechanical and materials engineering, Faculty of engineering and built environment,  Universiti Kebangsaan Malaysia, Bangi 43600, MALAYSIA, Mustapha Ismail , Md Saad Mohamad Hanif ,   Department of Mechanical and materials engineering, Faculty of engineering and built environment,  Universiti Kebangsaan Malaysia, Bangi 43600, MALAYSIA, Nuawi Mohd Zaki ,   Department of Mechanical and materials engineering, Faculty of engineering and built environment,  Universiti Kebangsaan Malaysia, Bangi 43600, MALAYSIA, Sani Suhairy ,   Department of Mechanical and materials engineering, Faculty of engineering and built environment,  Universiti Kebangsaan Malaysia, Bangi 43600, MALAYSIA, Mohd Shukri ,   Industrial technology division, Malaysian Nuclear Agency, Bangi, Kajang 43000, MALAYSIA, Mohamad Siti Fatahiyah ,   Radiation Processing Technology Division, Malaysian Nuclear Agency, Bangi, Kajang 43000, MALAYSIA, Omar Ratna Suffhiyanni ,   Department of Physics, Faculty of Science,  Universiti Teknologi Malaysia, 81310 Johor Bahru, MALAYSIA
Published: July 2022

The gate valve is primarily used for starting/stopping the flow of fluids. It is suitable for most fluids such as water and chemicals as well as air, steam and gas in petrochemical and refinery plants that require high temperature and low pressure. The aim of this study is to define the frequency domain using AE signals, such as RMS and ASL, to determine the internal gas leakage. The conducted experiment employed a 4-inch diameter gate valve installed in the middle of the pipe length. To simulate industrial applications, the AE signals were observed at low-frequency (between 18.6 kHz to 19.5 kHz), with inlet pressures between 100 to 800 kPa and leakage rates between 0.5 percent to 2 percent. The frequency domain between 18.6 to 19.5 kHz and the inlet pressure of 100 to 800 kPa were displayed as the Root Mean Square (RMS) and Average Signal Limit (ASL). The pressure difference between the inlet and outlet influences the AE signal. The frequency spectrum can be correlated with the pressure leakage, thus providing leakage conditions. Therefore, the obtained results can be employed in industrial applications.
Optimal Control of a Three-State Diabetic Population Model with Interventions
Authors:   Faculty of Ocean Engineering Technology and Informatics,   Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia, Nasir Hanis
Published: July 2022

This paper studies an optimal control problem to describe the population dynamics of diabetes in the presence of intervention effects. We propose two control variables representing the interventions to reduce the incidence of diabetes, and the interventions to reduce the incidence of complications. By applying the optimal control theory, we seek to minimize the relative cost associated with the intervention efforts and to reduce the total number of people with diabetes. The solution to the optimality system is approximated by using the Forward-Backward Sweep Method. The numerical simulations show that the number of diabetics who develop complications can be reduced by adopting optimal control strategies.
Forecasting Of Malaysia Gold Price with Exponential Smoothing
Authors:   Faculty of Computer and Mathematical Sciences,   Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MALAYSIA, Abdul Rahman Heidi Airisha , Ros Azizi Muhammad Firdaus ,   Faculty of Computer and Mathematical Sciences,   Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MALAYSIA, Saruand Muhammad Fahmi ,   Faculty of Computer and Mathematical Sciences,   Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MALAYSIA, Shafie Nur Amalina ,   Faculty of Computer and Mathematical Sciences,   Universiti Teknologi MARA, Persiaran Seremban Tiga 1, 70300 Seremban, Negeri Sembilan, MALAYSIA
Published: July 2022

Gold is a precious asset has attract the investors to invest. Investors has interest to know the basic knowledge about gold price and the prediction price. Prediction price will help the investors to determine the benchmark of the gold price. However, various method can be predict the price. Therefore, the objective of this study to determine the best model to forecast the Malaysia gold price. This study focus used Exponential Smoothing (ETS) forecasting models which are Single Exponential Smoothing (SES), Double Exponential Smoothing (DES), and Holt-Winters Exponential Smoothing. The best model is used to forecast the gold price in Malaysia for the next 12 months by using data from March 2016 until February 2021.The best model is determined by choosing the lowest Root Mean Squared Error (RMSE) value. The outcome for the lowest RMSE shows that DES is the best model for forecasting the gold price in Malaysia for the next 12 months. The result of the forecasting shows that the gold price will decrease from March 2021 until February 2022, and this could be due to the COVID-19 pandemic in Malaysia. Therefore, it will be a good opportunity for investors to buy gold in this period since the price is decreased and investors can sell it at the highest price in the future.
TVET Student’s Perception on Digital Mind Map to Stimulate Learning of Technical Skills in Malaysia
Authors:   Universiti Teknologi MARA Perak Branch, Tapah Campus, Tapah Road, 35600, MALAYSIA, Abd Karim Rafidah , Mustapha Ramlee ,   Universiti Pendidikan Sultan Idris,  Tanjong Malim, 35900, MALAYSIA
Published: July 2022

Digital mind map is a digital tool that is becoming increasingly popular in today’s pedagogical visual aids. However, few empirical studies have been conducted regarding Technical and Vocational Education and Training (TVET) student’s competencies on using digital mind map in learning of their technical subjects. Hence, this survey research was designed to investigate TVET student’s perceptions on the digital mind map to stimulate their learning of technical skills in Malaysian higher learning institutions. Specifically, the objectives of the study were to identify the TVET student’s perception regarding their digital mind map competencies and to examine the relationship between the usage of digital mind and their learning achievement of technical skills. A sample of 372 TVET students were randomly selected from several public TVET higher institutions in Malaysia. The online questionnaires were designed to measure the practice of digital mind map among TVET students. The data were analysed using descriptive and inferential statistics such as frequency, percentage, mean, standard deviation and Pearson correlation. The questionnaire also included three open-ended items and the qualitative data were analysed using thematic analysis. The key finding showed that the majority of TVET students have a positive perception towards the digital mind map. In addition, the main open-ended result illustrated that the digital mind map has a potential to stimulate creativity and design thinking among TVET students in Malaysia.
Factors affecting secondary schools teachers’ motivation in the Elliotdale Circuit, South Africa
Authors:   University for Development Studies, Ghana, Mohammed Issiah
Published: July 2022

This study examines factors affecting teachers’ motivation at secondary schools in the Elliotdale Circuit. The research approach adopted was qualitative. The design used was a case study. The purposive sampling technique was used to select a sample size of twenty-two (22) respondents, which comprised principals, teachers, subject advisors and teacher union representatives. Face-to-face interviews were conducted while data collected were analysed thematically. Findings revealed inadequate teacher-learner support materials in schools, non-payment of temporary teachers’ salaries, lack of access roads to and from schools, lack of secured accommodations for teachers, poverty and lack of electricity and running water in some schools were the factors affecting teachers’ job satisfaction and motivation in the secondary schools. Some recommendations were: School Governing Body to work with the Department of Education to provide schools with adequate teacher-learner support materials, to ensure regular and competitive salaries for teachers, to implement rural allowances for teachers and to provide teachers with secured accommodations, electricity and running water.
Tortura, o Jogo e a Experiência Negra
Authors: Trammell Aaron , Carneiro Alexander , Furtado Lucianna
Published: July 2022

Este ensaio considera como a experiência do povo negro descendente de escravos na América do Norte nos ajuda a repensar uma definição de jogo que tem sido amplamente determinada por pensadores e filósofos trabalhando dentro de uma tradição branca europeia. Essa tradição do jogo, teorizada mais famosamente pelo historiador holandês Johan Huizinga, pelo sociólogo francês Roger Caillois, pelo psicólogo suíço Jean Piaget e o neozelandês Brian Sutton-Smith, lê o jogo em um sentido majoritariamente positivo e garante que certas práticas, nomeadamente a tortura, são tabu, e, portanto, não podem ser jogo. Eu argumento que essa abordagem sobre o jogo é míope e se relaciona com um discurso global preocupante que torna invisíveis as experiências de povos negros, indígenas e pessoas de cor. Em outras palavras, ao definir o jogo apenas através de suas conotações prazerosas, o termo mantém um viés epistêmico em relação às pessoas com acesso às condições de lazer. De fato, a tortura nos ajuda a desenhar um quadro mais completo onde os potenciais mais hediondos do jogo podem ser abordados juntamente com os mais prazerosos, mesmo que, ao fazer isso, o trauma da escravidão seja relembrado. Ao repensar esta fenomenologia, eu foco em detalhar os modos mais insidiosos em que o jogo funciona como uma ferramenta de subjugação. Uma que machuca tanto quanto cura e uma que tem sido complacente com o apagamento sistemático de pessoas negras, indígenas e de cor do domínio do lazer.
TERAPIAS INOVADORAS PARA REPARO TECIDUAL EM PESSOAS COM PÉ DIABÉTICO
Authors: Cabral Adriane Duarte , Said Alice Amorim , Santos Andreina Kaline Fassabe dos , Lima Raquel Santiago , BRANDÃO MARIA GIRLANE SOUSA ALBUQUERQUE
Published: July 2022

Objetivo: Identificar as terapias inovadoras para reparo tecidual em pessoas com pé diabético. Método: Revisão integrativa, conduzida nas bases de dados/portal: Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) e Base de Dados de Enfermagem (BDENF) via Biblioteca Virtual em Saúde (BVS), Scientific Electronic Library Online (SciELO), SCOPUS e PubMed. Foram utilizadas estratégias de buscas, com utilização de descritores do Descritores em Ciências da Saúde (DeSC) e Medical Subject Headings (MeSH), em associação com os operadores booleanos AND e OR. As buscas foram efetuadas em fevereiro de 2022. A triagem e seleção dos artigos contou com auxílio do software Rayyan. Os principais resultados do estudo foram distribuídos em quadros e descritos de forma narrativa. Resultados: Foram incluídos 18 artigos, que evidenciaram 13 terapias inovadoras, sendo duas terapias de origem vegetal: extrato de kiwi e biomembrana de proteínas do látex de Calotropis procera; seis terapias advindas de tecidos humanos: cimento ósseo carregado com antibiótico, plasma autólogo rico em plaquetas, membrana amniótica, derivados do cordão umbilical, enxerto de pele e células mesenquimais derivadas de placenta humana; e cinco terapias permeadas por tecnologias duras: terapia por pressão negativa, ozonioterapia, heberprot-P ®, oxigenoterapia hiperbárica e laserterapia. Foram identificados diversos benefícios no uso dessas terapias, como melhor taxa de cicatrização, redução da taxa de amputação e no tamanho da úlceras. Conclusão: Diversas terapias podem ser utilizadas para tratamento do pé diabético em associação com o tratamento padrão, coadjuvado as chances de cicatrização total, menor risco de amputações, melhora da marcha e qualidade de vida das pessoas com diabetes mellitus e úlceras nos pés.