Sistem Sensor Estimasi Tingkat Kematangan Buah Stroberi Berdasarkan Kecerahan Warna Merah

Seleksi tingkat kematangan pada buah stroberi merupakan salah satu upaya untuk meningkatkan kualitasnya. Tingkat kematangan dalam panen merupakan faktor paling penting yang menentukan kualitas buah. Stroberi yang telah matang optimal memiliki banyak kandungan nutrisi. Sensor tingkat kematangan stroberi telah dibuat berdasarkan kecerahan warna merah pada permukaan kulit stroberi. Sistem sensor dirancang dengan menggunakan Light Dependent Resistor (LDR) sebagai sensor intensitas cahaya dan Light Emitting Diode (LED) sebagai sumber cahaya. Penelitian ini bertujuan untuk mengukur tingkat kematangan stroberi dengan menggunakan tiga derajat warna merah, yaitu light-red, fresh-red dan black-red untuk membedakan tingkat kematangan buah stroberi. Nilai tingkat kematangan untuk light-red 671,2, fresh-red 709,05 dan black-red 777,5. Hasil menunjukkan bahwa sensor dapat mendeteksi tingkat kematangan stroberi dengan presisi 93,3%. Dengan demikian, sensor tingkat kematangan stroberi dapat direalisasikan

Cultural drivers and health-seeking behaviours that impact on the transmission of pig-associated zoonoses in Lao People's Democratic Republic

Pig rearing is an important income source in the Lao People’s Democratic Republic (PDR), with many smallholder farmers using traditional free-range pig production systems. Despite the potentially significant health risks posed by pig production regarding pig-associated zoonoses, information on the sociocultural drivers of these zoonoses is significantly lacking. This review summarises the existing sociocultural knowledge on eight pig-associated zoonoses suspected to be endemic in Southeast Asia: brucellosis, Q fever (Coxiella burnetii), trichinellosis, hepatitis E virus, leptospirosis, Japanese encephalitis, Streptococcus suis and Taenia solium taeniasis-cysticercosis. It summarises current knowledge on these diseases grouped according to their clinical manifestations in humans to highlight the propensity for underreporting. A literature search was conducted across multiple databases for publications from 1990 to the present day related to the eight pig-associated zoonoses and the risk and impact connected with them, with Lao PDR as a case study. Many of these pig-associated zoonoses have similar presentations and are often diagnosed as clinical syndromes. Misdiagnosis and underreporting are, therefore, substantial and emphasise the need for more robust diagnostics and appropriate surveillance systems. While some reports exist in other countries in the region, information is significantly lacking in Lao PDR with existing information coming mainly from the capital, Vientiane. The disease burden imposed by these zoonoses is not only characterised by morbidity and mortality, but directly impacts on livelihoods through income reduction and production losses, and indirectly through treatment costs and lost work opportunities. Other factors crucial to understanding and controlling these diseases are the influence of ethnicity and culture on food-consumption practices, pig rearing and slaughter practices, hygiene and sanitation, health-seeking behaviours and, therefore, risk factors for disease transmission. Published information on the knowledge, attitudes and beliefs of people regarding pig zoonoses and their risk factors is also extremely limited in Lao PDR and the broader Southeast Asian region. The need for more transdisciplinary research, using a One Health approach, in order to understand the underlining social determinants of health and their impacts on health-seeking behaviours, disease transmission and, ultimately, disease reporting, cannot be more emphasized

What information and the extent of information research participants need in informed consent forms: a multi-country survey

Background: The use of lengthy, detailed, and complex informed consent forms (ICFs) is of paramount concern in biomedical research as it may not truly promote the rights and interests of research participants. The extent of information in ICFs has been the subject of debates for decades; however, no clear guidance is given. Thus, the objective of this study was to determine the perspectives of research participants about the type and extent of information they need when they are invited to participate in biomedical research. Methods: This multi-center, cross-sectional, descriptive survey was conducted at 54 study sites in seven Asia-Pacific countries. A modified Likert-scale questionnaire was used to determine the importance of each element in the ICF among research participants of a biomedical study, with an anchored rating scale from 1 (not important) to 5 (very important). Results: Of the 2484 questionnaires distributed, 2113 (85.1%) were returned. The majority of respondents considered most elements required in the ICF to be \u27moderately important\u27 to \u27very important\u27 for their decision making (mean score, ranging from 3.58 to 4.47). Major foreseeable risk, direct benefit, and common adverse effects of the intervention were considered to be of most concerned elements in the ICF (mean score = 4.47, 4.47, and 4.45, respectively). Conclusions: Research participants would like to be informed of the ICF elements required by ethical guidelines and regulations; however, the importance of each element varied, e.g., risk and benefit associated with research participants were considered to be more important than the general nature or technical details of research. Using a participant-oriented approach by providing more details of the participant-interested elements while avoiding unnecessarily lengthy details of other less important elements would enhance the quality of the ICF

Global vorticity shedding for a vanishing wing

If a moving body were made to vanish within a fluid, its boundary-layer vorticity would be released into the fluid at all locations simultaneously, a phenomenon we call global vorticity shedding. We approximate this process by studying the related problem of rapid vorticity transfer from the boundary layer of a body undergoing a quick change of cross-sectional and surface area. A surface-piercing foil is first towed through water at constant speed, , and constant angle of attack, then rapidly pulled out of the fluid in the spanwise direction. Viewed within a fixed plane perpendicular to the span, the cross-sectional area of the foil seemingly disappears. The rapid spanwise motion results in the nearly instantaneous shedding of the boundary layer into the surrounding fluid. Particle image velocimetry measurements show that the shed layers quickly transition from free shear layers to form two strong, unequal-strength vortices, formed within non-dimensional time , based on the foil chord and forward velocity. These vortices are connected to, and interact with, the foil's tip vortex through additional streamwise vorticity formed during the rapid pulling of the foil. Numerical simulations show that two strong spanwise vortices form from the shed vorticity of the boundary layer. The three-dimensional effects of the foil removal process are restricted to the tip of the foil. This method of vorticity transfer may be used for quickly introducing circulation to a fluid to provide forcing for biologically inspired flow control

Discretization method to optimize logistic regression on classification of student’s cognitive domain

The accuracy level of the student determination in a class often has been paid less attention in educational data mining. So, this paper studies how to improve the performance of classification method to reach the higher of level accuracy. Therefore, we optimize logistic regression using equal frequency discretization method. Here, we test the student data by three intervals, four intervals, and five intervals. For logistic regression, we implement two regularization types, namely: lasso, ridge. Furthermore, to evaluate the results, we use the random sampling technique. Additionally, we measure the results by four classifier metrics, namely: F1, precision, accuracy, and recall. The experimental result shows that this method can be applied to optimize the logistic regression. On logistic regression_lasso and logistic regression_ridge, the three intervals achieve the highest of accuracy level. They can improve the accuracy level about 9% - 9.4%, respectively

Discretization method to optimize logistic regression on classification of student’s cognitive domain

The accuracy level of the student determination in a class often has been paid less attention in educational data mining. So, this paper studies how to improve the performance of classification method to reach the higher of level accuracy. Therefore, we optimize logistic regression using equal frequency discretization method. Here, we test the student data by three intervals, four intervals, and five intervals. For logistic regression, we implement two regularization types, namely: lasso, ridge. Furthermore, to evaluate the results, we use the random sampling technique. Additionally, we measure the results by four classifier metrics, namely: F1, precision, accuracy, and recall. The experimental result shows that this method can be applied to optimize the logistic regression. On logistic regression_lasso and logistic regression_ridge, the three intervals achieve the highest of accuracy level. They can improve the accuracy level about 9% - 9.4%, respectively