bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Implementation of Infection Prevention and Control at Royal Prima Marelan General Hospital
Authors: Sahputra Fajar , Girsang Ermi , Napiah Nasution Ali
Published: January 2024

Nosocomial infections or Healthcare-Associated Infections (HAIs) are a serious problem for global public health, including Indonesia. HAIs are infections experienced by patients during treatment and health care procedures ≥ 48 hours and ≤ 30 days after leaving the health facility. This study aims to analyze the implementation of infection prevention and control at the Royal Prima Marelan General Hospital. This research is a quantitative study with an observational analytical approach with a Cross Sectional Study design, namely in the form of data collection aimed at analyzing the implementation of infection prevention and control at the Royal Prima Marelan General Hospital for the period July to August 2023. The population in this study was 100 people who included hospital management who were considered competent in providing information. The population sample for this study that met the inclusion and exclusion criteria was 50 people. The results of bivariate analysis show that the variables related to infection prevention and control are knowledge, motivation, supervision and workload. The results of multivariate analysis show that the variable that partially influences the prevention and control of nosocomial infections in hospitals is knowledge.
Development of Learning Modules Based on the Halaqah Approach through the ADDIE Model
Authors: Qurba Al-Qanit , Ananda Azwar , Jasrial  , Zuwirna
Published: January 2024

This research is motivated by facilitating Fiqh learning which is expected to help students and increase the variety of teaching materials for modules based on the Halaqah method so that they are more active and happy in learning Fiqh. This research includes research and development. This research uses the ADDIE development model with 5 stages, namely analysis, design, development, implementation, and evaluation. The instruments in this research used validity and practicality test questionnaires, and student learning outcomes to test the effectiveness of the Fiqh module being developed. The results of this research and development show that the validity test results based on media expert questionnaire validation obtained an average score of 95.55% with valid criteria. while the validation results from material experts obtained an average value of 86.95% with valid criteria. Linguist validation obtained an average score of 87.69% with valid criteria. The results of the practicality test based on the Fiqh teacher response questionnaire obtained an average score of 95.65%. The results of the practicality test based on the student response questionnaire from the experimental class obtained an average score of 89.83. Meanwhile, for module accuracy, an average score of 91.33% was obtained in the very practical category.
Validity and Practicality of the Ethnoscience-Based Design Thinking E-book
Authors: Sari Diah Kartika , Anwar Yenny , Ad'hiya Eka , Sofia  , Edi Rodi
Published: January 2024

Design thinking is an innovation methodology that combines skills, processes and mindset. Design thinking is becoming increasingly popular in education as a way to encourage students to think critically, collaborate effectively, and develop innovative solutions to complex problems. Teachers and students can solve wicked problems creatively using design thinking. This research aims to determine the validity and practicality of an ethnoscience-based design thinking e-book. This research was conducted using walkthroughs and questionnaires. Validation data was analyzed using Cohen's Kappa while practicality data was analyzed using percentages. The results show that the ethnoscience-based design thinking textbook that was developed was said to be valid in aspects of design, systematics, substance and writing style. The textbooks being developed are also said to be very practical in terms of design, language, material and interest aspects.
Medical Waste Management of Public Health Center (Puskesmas) in Bogor City
Authors: Debora Defi Darylianty , Martono Dwi Nowo , Fatmah
Published: January 2024

Bogor City has 25 Puskesmas with each medical waste generation can be up around 100kg/month. The temporary storage activity requires proper treatment and management complying with regulation Ministry of Health No.56 (2015) and Ministry of Environmental and Forestry No.6 (2021). The study aims to analyze basic problem of medical waste temporary storage activity of Puskesmas in Bogor City. Qualitative approach with observation and depth-interview had been done with related parties. Analytical Hierarchy Process (AHP) is done to analyze most interested mitigation. Result shows that remaining from total population: 36% needs to provide proper medical waste temporary storage, 24% waste cold storage, 36% wastewater treatment plant (WWTP). Main obstacles found includes limited land, procedural weaknesses, and internalization of other costs. AHP is done to overcome the weakness of limited land, with three alternatives (providing additional space in the current location; providing communal hazardous waste temporary storage; providing licensed offtaker). The scoring result sequentially 14.8%, 16.3%, and 68.9%. Basically medical waste management by Puskesmas in Bogor City is in continous improvement in order to comply with the regulations. More attention need to be put on WWTP to avoid pollution especially to groundwater quality which none attention had been made so far.
Use of Green Tea Extract (Camellia sinensis) Orally to Prevent Dyslipidemia in Female Rats (Rattus norvegicus) Fed A High-Fat Diet
Authors: Lumbantobing Christina J. R. Esmaralda , Damayanti Risna , Liena
Published: January 2024

One of the significant danger factors for cardiovascular disease and stroke is dyslipidemia. According to long-term prospective epidemiological research, coronary heart disease is less common in those with good lipid profiles who lead better lives. In this study, on a high-fat diet, female wistar rats (Rattus norvegicus) will be tested and analyzed to see if green tea extract (Camellia sinensis) can prevent dyslipidemia when given orally. Compared to a control group that received only distilled water, the trial group that received 5 milliliters of green tea extract (Camellia sinensis) had significantly lower total and LDL cholesterol levels and higher HDL cholesterol levels. This treatment was more effective in lowering cholesterol overall. The components found in green tea (Camellia sinensis), including tannins, steroids, alkaloids, saponins, and flavonoids, can induce this. When certain bioactive substances are off, the body can bring them back into normalcy. These results suggest that white wistar rats (Rattus norvegicus), given a high-fat diet, can benefit from green tea (Camellia sinensis) extract to avoid dyslipidemia. Your lipid profile can be improved by ingesting green tea extract. The primary polyphenol in tea, catechin, is responsible for this transformation. Therefore, the Camellia sinensis plant, from which green tea is made, is a valuable plant that can halt or slow the progression of several ailments, including hypertension, metabolic disorders, and cardiovascular disorders.
HUBUNGAN PENGGUNAAN INSTRUMEN PENILAIAN KEMAMPUAN PEMECAHAN MASALAH DENGAN EFIKASI DIRI PESERTA DIDIK PADA MATERI LAJU REAKSI
Authors: Nurbaiti  , Erna Maria , Futra Dedi
Published: January 2024

Penelitian ini bertujuan untuk mengetahui bagaimana hubungan kemampuan pemecahan dan efikasi diri peserta didik pada materi laju reaksi. Jenis penelitian ini adalah penelitian eksperimen dengan desain pretest-posttest. Teknik pengambilan sampel pada penelitian ini adalah teknik random sampling yaitu dengan memilih 3 Sekolah Menengah Atas (SMA) yang ada di Kabupaten Bengkalis secara acak yaitu SMA Negeri 2 Mandau, SMA Negeri 8 Mandau, dan SMA Negeri IT Al-Kautsar. Uji korelasi dilakukan untuk mengetahui apakah diantara dua buah variabel terdapat hubungan, dan jika ada hubungan, bagaimana arah hubungan dan seberapa besar hubungan tersebut. Berdasarkan hasil uji korelasi bahwa ada korelasi positif antara kemampuan pemecahan masalah dengan efikasi diri pada peserta didik di sekolah tinggi, sedang dan rendah.
Development of Health Promotion with The Design of Heart Failure Patient Monitoring Instrument
Authors: Sudarmanto Alfan Al Ghifari , Kusumo Mahendro Prasetyo
Published: January 2024

Heart disease, particularly heart failure, is a prevalent chronic condition requiring regular monitoring to maintain patients' well-being. This study aims to develop and validate a monitoring instrument for heart failure patients. A pilot study was conducted in two main stages: instrument development and pre-test post-test on a sample of outpatient heart failure patients at RSU Muhammadiyah Ponorogo from March to May 2023. The validity test revealed 17 valid questionnaire items, with Cronbach’s Alpha values for routine examination, physical activity, and nutrition domains being 0.729, 0.829, and 0.786, respectively, indicating good reliability. Sample testing demonstrated a significant improvement in patient compliance (p < 0.005) and nutritional status (p < 0.05) after cardiovascular health promotion. However, there was no significant change in physical activity. With a combination of high construct validity, good reliability, and strong content validity, the questionnaire proved to be a robust and reliable measurement tool. The findings depict significant changes in compliance and nutritional status among heart failure patients following health promotion interventions, emphasizing the need for further focus on physical activity aspects. These results can contribute to the development of more effective monitoring and care strategies for heart failure patients.
Green Synthesis Silver Nanoparticles Using Sembung (Blumea balsamifera) Leaf Extract as an Antibacterial and Antioxidant
Authors: Aryasa I Wayan Tanjung , Artini Ni Putu Rahayu
Published: January 2024

Silver Nanoparticles essentially focuses on the synthesis of nano-sized particles produced through chemical, physical and biological processes, which contribute significantly to the control of plant and animal diseases and have shown considerable promise in improving the quality of living conditions and human health. Currently, silver nanoparticles (AgNP) have shown their potential as an alternative antibacterial and antioxidant agent in many studies. The method for making silver nanoparticles, namely Green synthesis, involves the use of plants for the synthesis process of various types of nanoparticles. Green synthesis has the advantages, namely that the method is simple, environmentally friendly, non-polluting, antitoxic and cost-effective. The aim of this research is to determine the antibacterial and antioxidant activity of AgNPs. In this research, the nanoparticle solution was visually determined by the yellow-brown color change. In the spectrophotometer absorption spectrum appears at a wavelength of 425 nm. The results of determining the size distribution of silver nanoparticles using PSA show that the particle size distribution obtained has an average value of 40.5 nm and 59.6 nm for silver nanoparticles for AgNO3 concentrations of 1 mM and 2 mM, respectively. FTIR measurements are used to determine the presence of bioactive molecules that may be responsible for the stabilization that acts as a capping agent. Absorption spiked at 3.280; 2.919; 1.583; 1.379; 1.239 and 1.068 cm−1 were determined for sembung leaf extract, while silver nanoparticles showed an absorption spike at 3.368; 2.850; 1.594; 1.369; 1.244 and 1.108 cm−1. The results of XRD analysis of AgNP show that it has been successfully synthesized which can be seen from the formation of a narrow peak indicating the crystalline nature of the nanoparticles formed. The results of TEM analysis of AgNPs in this study are mixed shapes such as spherical, hexagonal and triangular shapes of silver nanoparticles. The antibacterial activity test of silver nanoparticles with sembung leaf extract with varying concentrations of AgNO3 solution was successful as indicated by the formation of an inhibition zone for Eschericia coli and Staphylococcus aureus bacteria. The results show that the antioxidant activity of AgNPs shows that the percentage of inhibition increases as the concentration of AgNPs increases from 100 to 500 ppm and ascorbic acid increases from 1 to 5 ppm.
Implementation of the Pancasila Student Profile in the Merdeka Mandiri Curriculum Changes in Biology Learning
Authors: Karlina Lilis , Hindriana Anna Fitri
Published: January 2024

The aim is to analyze the strengthening of the Pancasila student profile in the learning process, viewed from the teaching module with 5 aspects, namely: a) The arrangement of learning objectives according to the achievement of Phase E learning and including prerequisite knowledge; b) Understanding of Biology according to Phase E; c) Project-based or case study learning; d) Literacy and numeracy; e) The Pancasila student profile in the independent curriculum seen from assessment. The implementation of strengthening the Pancasila student profile in biology learning shows that there are still deficiencies in 3 schools, especially in the arrangement of learning objectives, which are not appropriate because the competencies in the learning achievement are not stated and the strengthening of the Pancasila student profile is not included. Issues in project-based learning plans and issues in the module are not contextual and the measurement of biology understanding is in line with the Learning Outcomes, but the presentation of questions is not in accordance with the revised Bloom's taxonomy. The implementation of strengthening the Pancasila student profile in the learning process is crucial in efforts to improve the quality of education in Indonesia in accordance with the needs of the times
Evaluation of the Role of Internal Verification Doctors in Reducing Pending Claims at Murni Teguh Medan Hospital in 2022
Authors: Nasution Sri Lestari Ramadhani , Hutabarat Yohana Candra Andini , Ginting Chrismis Novalinda
Published: January 2024

In the claim verification process, errors are still encountered which cause the claim to be pending. The problem of pending claims that occurs causes many losses for the Hospital. Therefore, an internal verifier is needed to supervise claim verification so that problems with pending claims can be minimized. Internal verification doctors have an important task in reducing the number of pending claims, especially to control the suitability of coding with diagnoses on medical resumes. The aim of this research is to analyze and describe the contribution of internal verifier doctors in reducing pending claims as well as the factors that cause pending claims and claims coding errors. The type of research used in this research is qualitative research. The research design used in this research is a descriptive research design. This research has sources as key informants, namely 4 internal verification doctors. This research also has sources as supporting informants, namely coder representatives. The conclusions of this research are: (1). Factors causing pending claims at RSU Murni Teguh Medan include: (a). Administrative factors, (b). Coding factors, (c). Medical factors. (2). The factors that cause errors in coding claims at RSU Murni Teguh Medan include: (a). HR Factors (Natural Resources) and; (b). Disagreement factor. The role of the internal verifier doctor in reducing pending claims includes: (a). Medical Document Examination; (b). In-Depth Clinical Verification; (c). Collaboration with the Filing Team; (d). Communication with BPJS.
Use of Phet Interactive Simulation Software in Physics Learning
Authors: Liswar Feby , Hidayati Abna , Rayendra Rayendra , Yeni Fetri
Published: January 2024

Physics learning is a discipline that requires in-depth understanding and a strong grasp of concepts. The use of technology in physics learning has become very essential, such as in the use of PhET interactive simulation software. This article aims to explore literature studies regarding the use of PhET software in the context of physics learning and its positive impact on students' abilities. The literature review method was carried out by searching for articles and journals related to the use of PhET in physics learning. The study results show that the use of PhET in physics learning can increase students' understanding of physics concepts and motivate them to study physics. Strategies for using PhET in physics learning include using it as a tool in explaining physics concepts, creating virtual experiments by students, and preparing virtual experiment reports. This article is an effective and efficient alternative for increasing students' understanding of PhET in physics learning
Effect of the Addition of Guava Leaf Extract (Psidium guajava L.) to Coconut Milk Yoghurt (Niyoghurt) as A Functional Food
Authors: Sinaga Hotnida , Suryanto Dwi , Dary Raihan
Published: January 2024

Niyoghurt is yoghurt made from coconut milk. Coconut milk has a creamier, softer texture, and provides a distinctive taste compared to cow’s milk. Guava leaf contain a flavonoid compound, quercetin, which is antibacterial. This study aimed to evaluate the effect of the addition of guava leaf extract (Psidium guajava L.) to coconut milk yoghurt (niyoghurt) as a functional food. This study aimed to identify the water content, ash content, fat content, protein content, pH, total lactic acid, antioxidant activities, and hedonic color, flavor, taste, and texture from two types guava leaves (guava leaf and crystal guava leaf) and different concentration of extract (3%, 4%, and 5%). The results of the study showed that types of guava leaves had very significantly effects (P<0.01) on protein content, total lactic acid, hedonic color, texture and taste. The concentration of guava leaf extract had a very significantly effect (P<0.01) on fat content, protein content, total lactic acid, antioxidants, hedonic color, aroma, texture and taste, but did not have a significantly effect (P>0.05) on water content and ash content. The interaction between the type and concentration of guava leaf extract had a very significantly effect (P<0.01) on the hedonic color, texture, aroma and taste.
O problema da dieta como modelo de gestão operacional do Restaurante Universitário do campus Nova Iguaçu da UFRRJ
Authors: Ferreira Amanda Matos , Rangel Juliana Nunes , Pereira Marcela Lima Santos , Gregório Ronaldo Malheiros
Published: January 2024

Código do Projeto: PVM1993-2020
O Problema da Dieta é estudado como um Problema de Programação Linear, entretanto também pode ser abordado como um problema de Modelagem Matemática. No presente trabalh
ADMINISTRAÇÃO EM FOCO - INOVAÇÃO ORGANIZACIONAL E MARKETING VOLUME 2
Authors: Assis Afonso Henrique Souza de
Published: January 2024

Um livro de inovação organizacional e marketing
Representações sociais de graduandos de cursos a distância sobre o EAD, o multiletramento e o letramento digital: um estudo de caso
Authors: Batista Carlos
Published: January 2024

O objetivo da obra foi e sempre será a disseminação do conhecimento afora a proposta investigatória que envolve a apaixonante Teoria das Representações Sociais, exemplificada por meio de um estudo de caso de graduandos de ensino a distância sobre o letramento digital e o multiletramento. Convidamos os leitores ao final refletirem sobre os dados expostos e quiça contribuir com novas perspectivas sobre os objetos estudados.
Identification of Vibration for Balancing in Fehn Pollux Ship with ECO Flettner Rotor
Authors: Parmar Chetan , Wings Elmar , Nourmohammadi Farzaneh
Published: January 2024

Flettner rotors are wind propulsion systems using the Magnus effect to generate thrust, thereby reduce fuel consumption and carbon emissions in the ships. However, rotor unbalance can cause excessive vibrations and energy loss, affecting the performance and stability of the system. There is a need to have a system onboard, which can predict the vibrations. The paper proposes a deep learning approach to predict the vibrations and unbalanced forces of a Flettner rotor based on the data of ECO Flettner rotor onboard the vessel MV Fehn pollux. The paper develops two methods to estimate the direction and magnitude of the unbalanced forces using the reading values of the strain gauges. The work also compares two recurrent neural network models, namely Long-short term memory and Gated Recurrent Unit, for vibration prediction and evaluates their performance using Mean Absolute Error and Root Mean Squared Error metrics. The results show that Long-short term memory model outperforms Gated Recurrent Unit model in prediction accuracy and can be implemented on the system onboard to monitor and prevent rotor unbalance. The paper also suggests some possible solutions for automatic self-balancing of the rotor and identifies some areas for future work.
Exploring economic opportunities of the solid waste management policy in Zambia: Case study city of Ndola
Authors: Martin Kalale Bulwani Musonda
Published: January 2024

This study investigates the economic implications of Zambia's Solid Waste Management Regulation Act 2018, particularly in Ndola. The Act, which integrates private sector engagement in waste management, has unfolded numerous entrepreneurial opportunities. Our research reveals how individuals, including marginalized groups like ex-convicts and single mothers, are transforming waste into a source of income. By scavenging landfills for recyclables, these individuals participate in an emerging value chain, selling waste to entities that repurpose it into economically viable products. This burgeoning sector is not only fostering self-employment but also generating formal jobs, especially for the youth, and contributing to the national economy through taxes and export revenues. The study highlights the dual benefits of this policy: environmental sustainability through reduced landfill waste, and socio-economic upliftment, as evidenced by decreased poverty levels and minimized disease outbreaks due to cleaner public spaces. However, challenges persist, such as the need for more structured waste sorting at landfills and better support systems for vulnerable waste collectors. Overall, the study underscores the transformative potential of waste management policies in fostering economic growth and environmental conservation.
The relationship between husband’s emotional support and anxiety of third trimester pregnant women at Lulu’s independent midwifery practice Surabaya
Authors: Fatma Ela Angelia  , Achmad Chusnu Romdhoni  , Dwi Izzati  , Atika
Published: January 2024

Anxiety during pregnancy arises due to physical and psychological changes in the mother. Anxiety makes emotional conditions unstable. If anxiety persists until the third trimester, it will cause prolonged labor, low birth weight, and premature birth and cause hypertension which leads to preeclampsia. Anxiety in pregnant women can be overcome with husband support. A husband plays a role in providing support to pregnant women. Husband support is one of the important factors obtained by pregnant women, because husbands are the closest people to pregnant women. During pregnancy, the mother has an unstable emotional condition so there is a need for emotional support from her husband. This emotional support includes expressions of empathy, care, and attention. The purpose of this study was to analyze the relationship between husband's emotional support and anxiety of third trimester pregnant women. This study is an observational analytic study using a cross sectional design. Data analysis using Spearman's Rho correlation test. The number of samples that met the inclusion criteria was 52 third trimester pregnant women at Lulu’s Independent Midwifery Practice, Surabaya. Mothers with good husband's emotional support 86,4% were not anxious, while 53,3% of mothers with poor husband's emotional support experienced mild-moderate anxiety. The results of the Spearman's rho correlation test obtained an rs value: 0.468 (p <0.001) which means that there is a significant correlation between husband's emotional support and anxiety of third trimester pregnant women, with moderate correlation strength. Husband's emotional support has a moderate relationship with anxiety of third trimester pregnant women.
Attenuating potential of some antioxidants: Cellgevity, max one, purslane and vitamin C on caffeine induced hormonal and testicular toxicities in male albino rats
Authors: Stephen Adie Adalikwu  , Ukam Uno-Ubarei Uno  , Ndum Dominic Okena  , Anthonia Ndang Akan  , Utip Benjamin Ekaluo
Published: January 2024

Background: Infertility challenges in men, resulting from disturbances in hormonal balance and testicular integrity, stands as a significant health challenge associated with various factors. Consequently, diverse strategies are necessary to tackle this issue. This research explored the attenuating potentials of some antioxidants—Cellgevity (CG), Max One (MX), purslane, and vitamin C (VC)—on caffeine-induced hormonal and testicular toxicities in male albino rats. Methodology: Sixty sexually matured male albino rats were randomly divided into ten groups consisting of two rats in three replicates using completely randomized design (CRD). Group one served as control and received water and feed only. Group two were given 200 mg/kgBw of CG, group three received 200 mg/kgBW of MX, group four received 100 mg/kgBW of VC, group five received 200 mg/kgBW of caffeine, group six received 200mg/kgBW of purslane, group seven received 200 mg/kgBW of caffeine and 200 mg/kgBW of CG, group eight received 200 mg/kgBW of caffeine and 200 mg/kgBW of MX, group nine received 200mg/kgBW of caffeine and 200 mg/kgBW of purslane, group ten received 200 mg/kgBW of caffeine and 100 mg/kgBW of VC. Administration was done orally and lasted for 65days. The rats were sacrificed after administration using chloroform anaesthesia. The testes were processed for histology while blood sample were obtained for hormonal assay. Results: The results showed that caffeine significantly (p<0.05) reduced the serum levels of testosterone, follicle stimulating hormone (FSH), luteinizing hormone (LH) and estradiol when compared to the control and other treatments groups. There was testicular toxicity with loosely packed enlarged seminiferous tubules in caffeine treated animals when compared with the control and antioxidants treated animals. However, CG, MX, purslane and VC attenuated the effect of caffeine in all the parameters evaluated by increasing the levels of the hormones and restoring testicular integrity of the animals in the combination groups. Conclusion: This present study has revealed the toxic effect of caffeine reproductive hormones and testicular integrity of male albino rats. However, the findings of this study provided substantial evidence on the attenuating effects of CG MX, purslane and VC on caffeine-induced hormonal and testicular toxicity in male rats as mammalian models.
LoRaWAN for Smart Street Lighting Solution in Pangandaran Regency
Authors: Enriko I Ketut Agung , Gustiyana Fikri Nizar , Kurnianingsih Kurnianingsih , Puspita Sari Erika Lety Istikhomah
Published: January 2024

Smart street lighting is a key application in smart cities, enabling the monitoring and control of street lamps through internet connectivity. LoRa/LoRaWAN, an IoT technology, offers advantages such as low power consumption, cost-effectiveness, and a wide area network. With its extensive coverage of up to 15 kilometers and easy deployment, LoRa has become a favored connectivity option for IoT use cases. This study explores the utilization of LoRaWAN in Pangandaran, a regency in the West Java province of Indonesia. Implementing LoRaWAN in this context has resulted in several benefits, including the ability to monitor and control street lighting in specific areas of Pangandaran and real-time recording of energy consumption. The primary objective of this research is to estimate the number of LoRaWAN gateways required to support smart street lighting in Pangandaran. Two methods are employed: coverage calculation using the free space loss approach and capacity calculation. The coverage calculation suggests a requirement of 34 gateways, whereas the capacity calculation indicates that only two gateways are needed. Based on these findings, it can be inferred that, theoretically, a maximum of 34 gateways would be necessary for smart street lighting in the Pangandaran area. However, further research, including driving tests, is recommended to validate these results for future implementation. This study provides insights into the practical application of LoRaWAN technology in smart street lighting, specifically in Pangandaran. The findings contribute to optimizing infrastructure and resource allocation, ultimately enhancing the efficiency and effectiveness of urban lighting systems.
The Evaluation of Entropy-based Algorithm towards the Production of Closed-Loop Edge
Authors: Crysdian Cahyo
Published: January 2024

This research concerns the common problem of edge detection that produces a disjointed and incomplete edge, leading to the misdetection of visual objects. The entropy-based algorithm can potentially solve this problem by classifying the pixel belonging to which objects in an image. Hence, the paper aims to evaluate the performance of entropy-based algorithm to produce the closed-loop edge representing the formation of object boundary. The research utilizes the concept of Entropy to sense the uncertainty of pixel membership to the existing objects to classify pixels as the edge or object. Six entropy-based algorithms are evaluated, i.e., the optimum Entropy based on Shannon formula, the optimum of relative-entropy based on Kullback-Leibler divergence, the maximum of optimum entropy neighbor, the minimum of optimum relative-entropy neighbor, the thinning of optimum entropy neighbor, and the thinning of optimum relative-entropy neighbor. The experiment is held to compare the developed algorithms against Canny as a benchmark by employing five performance parameters, i.e., the average number of detected objects, the average number of detected edge pixels, the average size of detected objects, the ratio of the number of edge pixel per object, and the average of ten biggest sizes. The experiment shows that the entropy-based algorithms significantly improve the production of closed-loop edges, and the optimum of relative-entropy neighbor based on Kullback-Leibler divergence becomes the most desired approach among others due to the production of more considerable closed-loop edge in the average. This finding suggests that the entropy-based algorithm is the best choice for edge-based segmentation. The effectiveness of Entropy in the segmentation task is addressed for further research.
The Implementation of the K-Medoid Clustering for Grouping Hearing Loss Function on Excessive Smartphone Use
Authors: Wahyudi Eri , Meidelfi Dwiny , - Nofrizal , Saam Zulfan , - Juandi
Published: January 2024

During the current pandemic, smartphones have become a means of learning for all students in Indonesia, including high school students. Students use smartphones to send assignments, learn via video calls, and conduct online exams. The prolonged use of smartphones, from the beginning of learning hours in the morning to study hours in the evening, has a terrible impact on the ear health of high school students in Padang. Excessive smartphone use caused a decrease in the student's hearing function. Therefore, this study aims to group the audiometry results of high school students in Padang who have a hearing loss function. The audiogram result is only performed as the result of a frequency test of the subject's hearing in both the left and right ear. Conventionally, an otolaryngologist concluded the final decision of hearing loss ability. This research proposed an automatic classification of audiometry results using machine learning methods. The K-Medoids clustering was selected to classify the audiometry data in this research. Of 210 audiometry data, 91 data is confirmed by an otolaryngologist as valid data. By using the K-Medoids clustering, 93 data is classified into Normal hearing, Mild Hearing loss, and Moderate Hearing loss. The proposed model successfully grouped the audiometry data into three categories. The confusion matrix is applied to measure the model performance, which has 28,3% accuracy, 64,3% precision, and 21,4% recall.
Design and Development of Sound and Rhythm Perception Assessment Application for Students with Hearing Impairment
Authors: Damri - , Safaruddin - , Marlina - , Efendi Jon , Efrina Elsa
Published: January 2024

Technology use is becoming increasingly popular in life, including in educational aspects. Some widely used applications in education include metaverse, blended learning, game learning, cloud-based learning, mobile applications, and social media learning. Apps are generally in the form of software applications or programs designed to run on smartphones. In this study, we propose using applications in assessing children with hearing impairments at school. Design and Development of the Sound and Rhythm Perception Assessment Application uses the ADDIE development model of Analysis, Design, Development, Implementation, and Evaluation. The test subjects in this study were validation test subjects consisting of 3 experts to test the feasibility of the application. Data was collected through a questionnaire in the form of a tool tested for validity and reliability with a score of 90.1% for learning design, 88.9% for layout, and 94.7% for software. Validation was carried out through focus group discussions. The application was tested on four teachers who teach students with hearing impairments. The results of the main field experiment show that teachers can use the application to help them assess students with hearing loss. With availability, the accuracy of the Design and Development of the Sound and Rhythm Perception Assessment Application can be further improved by conducting training with more teachers who teach children with hearing impairments at school.
Digital Literacy toward Historical Knowledge: Implementation of the Bukittinggi City History Website as an Educational Technology
Authors: Fatimah Siti , Hidayat Hendra , Sulistiyono Singgih Tri , Alhadi Zikri , Firza Firza
Published: January 2024

This research aims to identify the challenges and opportunities in integrating digital literacy skills into history education. This research focuses on understanding educators' difficulties in integrating digital technologies into the traditional history curriculum. Educational technology as a means and facility to support education and learning is no exception for historical knowledge through access to historical websites. This study analyses digital literacy toward historical knowledge using the Bukittinggi City history website. This research is quantitative research with a survey approach with closed-ended questions. The research population is the millennial generation in Indonesia. Samples were taken with a non-probability sampling approach with purposive sampling. This study involved 831 respondents spread throughout Indonesia. The data analysis technique is partial Least Square Structural Equation Modelling (PLS-SEM). The results showed no difference in historical knowledge scores between males and girls. With a value of 0.697 and a 69.7% variance, the coefficient of determination (R2) result demonstrates significant volatility in historical knowledge. Additionally, Q2's value serves as a gauge for the model's predictive usefulness. The predictive relevance of the model's independent variables was assessed using the predictive relevance test (Q2). Men might be more adept at using online resources to broaden their knowledge of the city's past. Understanding the disparities in digital literacy between men and women will significantly impact the design of educational and literacy programs in Bukittinggi. Enhancing digital literacy can promote access to and understanding of the city's history, especially among women
The Analysis of Organizational Changes using Structural Equation Modelling with Mediating Readiness to Change in Higher Education
Authors: Ayu Rindang , Abdullah Nurul-Azza , Wan Sulaiman Wan Shahrazad , Bin Selamat Mohd Nasir
Published: January 2024

This research study demonstrates that the readiness to change moderates the association between supervisor support and commitment to organizational change. The variable "readiness to change" fulfills this moderating function. The State University in West Sumatra, a prestigious institution of higher education in Indonesia, boasts a faculty comprising 260 committed teaching personnel. The formulation of the questionnaire was grounded upon a predetermined set of criteria. The data analysis process involved utilizing Structural Equation Modelling (SEM) and SmartPLS 3.0 software. The results obtained from using structural equation modeling (SEM) were consistent with recognized metrics such as Cronbach alpha, composite reliability, mean-variance extracted, and evaluation criteria for both measurement and structural models. Furthermore, it also showcased the soundness and reliability of the measurement instruments. The study suggests that the mediating factor of preparation for change plays a role in the association between the provision of high-quality support and the level of commitment towards organizational change. This study contributes to the field of management and organizational leadership by providing insights on how to develop robust change strategies through enhancing employees' readiness for transition. This study makes a valuable contribution to the field of change management by emphasizing the role of readiness to change as a mediating factor in the relationship between supervisor support and organizational change commitment. This research additionally aids organizations in developing grooming and training programs aimed at equipping employees with the necessary skills and knowledge to adapt to change.
Characteristics of Multi-Class Suicide Risks Tweets Through Feature Extraction and Machine Learning Techniques
Authors: Lim Yan Qian , Loo Yim Ling
Published: January 2024

This paper presents a detailed analysis of the linguistic characteristics connected to specific levels of suicide risks, providing insight into the impact of the feature extraction techniques on the effectiveness of the predictive models of suicide ideation. Prevalent initiatives of research works had been observed in the detection of suicide ideation from social media posts through feature extraction and machine learning techniques but scarcely on the multiclass classification of suicide risks and analysis of linguistic characteristics' impact on predictability. To address this issue, this paper proposes the implementation of a machine learning framework that is capable of analyzing multiclass classification of suicide risks from social media posts with extended analysis of linguistic characteristics that contribute to suicide risk detection. A total of 552 samples of a supervised dataset of Twitter posts were manually annotated for suicide risk modeling. Feature extraction was done through a combination of feature extraction techniques of term frequency-inverse document frequency (TF-IDF), Part-of-Speech (PoS) tagging, and valence-aware dictionary for sentiment reasoning (VADER). Data training and modeling were conducted through the Random Forest technique. Testing of 138 samples with scenarios of detections in real-time data for the performance evaluation yielded 86.23% accuracy, 86.71% precision, and 86.23% recall, an improved result with a combination of feature extraction techniques rather than data modeling techniques. An extended analysis of linguistic characteristics showed that a sentence's context is the main contributor to suicide risk classification accuracy, while grammatical tags and strong conclusive terms were not.
Drowsiness Detection System Through Eye and Mouth Analysis
Authors: Belle Lim Bey-Ee , Ng Kok Why , Ng Sew Lai
Published: January 2024

Traffic jams are one of the serious issues in many developed countries. After the pandemic, many employees were allowed to travel interstate to work. This contributes to more severe jams, especially in the capital and nearby states. Long-distance driving and congestion can easily make the drivers sleepy and thus lead to traffic accidents. This paper aims to study and analyze facial cues to detect early symptoms of drowsy driving. The proposed method employs a deep learning approach, utilizing ensemble CNNs and Dlib's 68 landmark face detectors to analyze the facial cues. The analyzed symptoms include the frequency of eyes opened or closed and yawning or no yawning. Three individual CNN models and an ensemble CNN structure are built for the classification of the eyes and mouth yawn. The model training and validation accuracy graph and training loss and validation loss graph are plotted to verify that the models have not been overfitted. The ensemble CNN models achieved an approximate accuracy of 97.4% from the eyes and 96.5% from the mouth. It outperforms the other pre-trained models. The proposed system can immediately alert the driver and send text drowsy messages and emails to the third party, ensuring timely intervention to prevent accidents. The proposed method can be integrated into vehicles and transportation systems to ensure driver's safety. It can also be applied to monitor the driving behavior of those who drive long distances
Processing Plant Diseases Using Transformer Model
Authors: Marcus Lye Hong Zheng , Ng Kok Why
Published: January 2024

Agriculture faces challenges in achieving high-yield production while minimizing the use of chemicals. The excessive use of chemicals in agriculture poses many problems. Accurate disease diagnosis is crucial for effective plant disease detection and treatment. Automatic identification of plant diseases using computer vision techniques offers new and efficient approaches compared to traditional methods. Transformers, a type of deep learning model, have shown great promise in computer vision, but as the technology is still new, many vision transformer models struggle to identify diseases by examining the entire leaf. This paper aims to utilize the vision transformer model in analyzing and identifying common diseases that hinder the growth and development of plants through the plant leave images. Besides, it aims to improve the model's stability by focusing more on the entire leaf than individual parts and generalizing better results on leaves not in the image center. Added features such as Shift Patch Tokenization, Locality Self Attention, and Positional Encoding help focus on the whole leaf. The final test accuracy obtained is 89.58%, with relatively slight variances in precision, accuracy, and F1 score across classes, as well as satisfactory model robustness towards changes in leaf orientation and position within the image. The model's effectiveness shows the vision transformer's potential for automated plant disease diagnosis, which can help farmers take timely measures to prevent losses and ensure food security.
Omni-Channel Service Analysis of Purchase Intention
Authors: Sugiat Maria , Saabira Nadia , Witarsyah Deden
Published: January 2024

The COVID-19 pandemic has caused a decline in various aspects of the economy, including the fashion sector. Many fashion retailers have closed, so sales have fallen. However, many retailers can also adapt and change using new communication channels. This change presents new challenges for fashion companies and retailers to integrate channels into omnichannel services. This study aims to analyze the factors influencing customer behavior in omnichannel services through their intention to accept and use new technology in shopping. This study adopts the UTAUT2 model by adding two new variables: personal innovation and perceived security. This model was tested on 353 samples from Uniqlo customers residing in Indonesia. This research method uses a Quantitative PLS-SEM approach. This study tested the outer model, inner model, and hypothesis t-test with a bootstrap procedure using SmartPLS software. The results showed that the performance expectation factor did not affect the omnichannel purchase intention variable because the t-statistic value is less than 1.65. Meanwhile, other factors such as effort expectation, social influences, habits, hedonic motivation, perceived security, and personal innovativeness affect omnichannel purchase intentions because the t-statistic value is more than 1.65. The most positive and significant factor is personal innovativeness. Based on the results of this study, it is revealed that digitalization creates challenges for companies in maintaining digital businesses. Through various omnichannel service channels, this research can identify the factors influencing consumers' purchase intention
Implementation of 5G Telecommunication Network Services in Indonesia based on Techno-economic Analysis
Authors: Hajar Komariah Siti , Saedudin Rd. Rohmat , Yantami Arumsari Rizki , Yunan KSP Umar Yunan KSP
Published: January 2024

The 2300 MHz spectrum is a medium band that telco operators will not pay much attention to when they deploy 5G. They are more comfortable at 2.6 GHz, 3.5 GHz, 26 GHz, and 28 GHz, in addition to 700 MHz for the breadth of coverage. The performance of cellular telecommunications services based on 5G technology is possible for new operators, although it will be carried out as stand-alone services. This opportunity will be taken by looking at internet subscriber data/data communication from existing operators as active internet users, which is quite large and has a potential of over 250 million users. There has been no previous study regarding the feasibility of deploying this 5G technology-based Broadband Wireless Access (BWA) Network. Based on the experience of implementing previous generations of telecommunication service technology, the government and operators need to be careful in determining the right moment to deploy this 5G technology service, which is predicted to be able to provide broadband services with streaming capabilities of 10 to 100 times the streaming speed of 4G technology. It should be noted that the lack of success of 3G performances in 2006 from 2G, 2.5G, and 2.75 G. Almost all operators who were expected to be very lucky turned out to be not optimal; even now, only 4 operators are playing on 3G. where they have not been able to force users of the 2G generation to switch to 3G, including in big cities where the performance of the 3G network is not yet optimal and evenly distributed. Still, many areas are blank spots from 3G networks and services. From this experience, scientific studies are needed to ensure the feasibility of the upcoming 5G BWA business and identify business opportunities that can be implemented. The feasibility analysis must be viewed from various aspects, namely aspects of technical readiness, market aspects, and financial aspects in terms of the techno-economics of the operators who will provide 5G telecommunications services by calculating several essential parameters as a measure of business feasibility, namely Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PBP).