bluuebunny/crossref_metadata_2025 huggingface dataset:
Lignes directrices pour l’examen diagnostique des troubles neurodéveloppementaux chez l'adulte en neuropsychologie
Authors: Candal-Zürcher Alexia , Chatelain Sandra , Verdon, Vincent
Published: January 2024

Les demandes d’évaluation neuropsychologique pour les troubles neurodéveloppementaux chez l’adulte augmentent significativement. Bien que ce sujet ait donné lieu à de nombreuses recherches chez les enfants, ce thème reste relativement inexploré chez les adultes et les études décrivant la symptomatologie, son évolution et son impact fonctionnel demeurent rares. De plus, le diagnostic chez l’adulte connaît plusieurs défis liés notamment au chevauchement de symptomatologies ou à la présence de comorbidités. Cet article propose une revue de la littérature de deux entités, le Trouble du Déficit de l’Attention/Hyperactivité et le Trouble du Spectre de l’Autisme, avec quelques considérations autour de la problématique du haut potentiel. Sur la base d’études récentes et de recommandations de sociétés savantes, l’objectif est de proposer des lignes directrices afin de guider l’évaluation neuropsychologique. Le but est d’améliorer l’harmonisation des pratiques grâce à une démarche basée sur les preuves afin de proposer une prise en charge optimale au patient.

Nowadays, the number of neuropsychological evaluation requests concerning neurodevelopmental disorders in adults is expending. While the litterature has grown significantly over the past decades regarding this topic in children, we still lack of studies in adultes that would adress the symptomatology, its course and its functional impairments. Moreover, symptomatologies overlap, comorbidties or social gratification are ones of the many challenges when diagnosing adults. This paper is an attempt to review the recent litterature concerning two specific neurodevelopmental disorders, namely Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD), to which we added some considerations about the gifted profile in adults. Based on the latest researches and recommendations from experts, we aimed to propose guidelines for the clinician meant to ease the management of the evaluation process. We hope this work could lead to standardization of evidence-based practices that would eventually benefit the patient.
Validité de performance aux tests neuropsychologiques: prise de position de l’Association québécoise des neuropsychologues
Authors: Bertrand Josie-Anne , Chartrand Jean-Pierre , Kennepohl Stephan , Monette Sébastien
Published: January 2024

Traditionnellement, les neuropsychologues présumaient que les résultats obtenus lors de leurs évaluations représentaient un tableau fiable du fonctionnement cognitif de leurs clients. Or, la littérature démontre qu’une proportion non négligeable des personnes évaluées produit des résultats non valides, et ce, que ce soit dans un contexte clinique1 ou en expertise. De plus, des études suggèrent que le jugement clinique serait insuffisant pour dépister une performance non valide aux tests neuropsychologiques. Le présent article vise à définir les concepts sous-jacents concernant la validité de performance, décrire les prises de position adoptées par les associations professionnelles, faire un bref état des lieux pour les clientèles pédiatrique, adulte et gériatrique, et présenter quelques méthodes appropriées pour son évaluation. Nous recommandons que toute évaluation neuropsychologique comporte une appréciation formelle de la validité des données obtenues, minimalement avec des indices imbriqués, en utilisant des outils et méthodes reconnus.
Analysis of Students' Communication Politeness Capabilities Towards Lecturers in an Academic Environment: Case Study at FKIP Universitas Perjuangan Tasikmalaya
Authors: Saputra Jumadil , Yohandoko Setyo , Rusyn Volodymyr
Published: January 2024

This research investigates students' polite communication skills towards lecturers in an academic environment. Data was collected through observations and interviews with students from the Indonesian Language and Literature Education Study Program at FKIP Universitas Perjuangan Tasikmalaya. The main finding is that most students tend to use less polite language in communication with lecturers, including the use of slang, non-compliance with communication ethics, and lack of use of polite words such as "thank you." Factors such as the living environment and relationships outside campus influence student communication patterns. The modern era of technology and easy access to digital content has also influenced their communication practices. This influence has the potential to damage the campus' reputation and create disharmony in the academic environment. Awareness of the importance of language politeness and the active role of educational institutions and lecturers in providing guidance on communication ethics can help create a more conducive academic environment.
Capacity Building Of Rural Society: The Contribution Of Pakuan University's Students In Enhancing Community Empowerment In Paseban Village
Authors: Sabila Nova Putri , Larasati Eliza , Kusumawardani Shabriena Nindya , Faizah Annissa Nur , Ryanti Delva , Andria Fredi
Published: January 2024

In the era of globalization, adapting to changes is crucial for individuals to compete in business development. Saung Lebah Madu Paseban, located in the village of Paseban, Megamendung, faces challenges due to limited human resource utilization attributed to a lack of skills, knowledge, and motivation among the locals. To address these issues, the community is being empowered through direct training and coaching activities, including practical sessions on making honey-based products like soap, jelly, and aromatherapy candles. Additionally, residents receive training in marketing and finance. The success of this empowerment initiative depends on the active participation and determination of the community members. Questionnaires distributed before and after the training sessions reveal that a significant number of individuals have genuinely benefited from the activities. The training outcomes demonstrate a clear improvement in the understanding and abilities of the participants, as evidenced by their honest feedback. Utilizing clustering analysis with the K-Means algorithm, participants are grouped into clusters based on their knowledge levels—cluster 1 (High Knowledge) and cluster 2 (Low Knowledge). Overall, the training not only enhances the community's understanding but also equips them with the skills to produce high-quality honey derivative products.
The genome assembly and annotation of the white-lipped tree pit viper Trimeresurus albolabris
Authors: Niu Xiaotong , Lv Yakui , Chen Jin , Feng Yueheng , Cui Yilin , Lu Haorong , Liu Hui
Published: January 2024

Trimeresurus albolabris, also known as the white-lipped pit viper or white-lipped tree viper, is a highly venomous snake distributed across Southeast Asia and the cause of many snakebite cases. In this study, we report the first whole genome assembly of T. albolabris obtained with next-generation sequencing from a specimen collected in Mengzi, Yunnan, China. After genome sequencing and assembly, the genome of this male T. albolabris individual was 1.51 Gb in length and included 38.42% repeat-element content. Using this genome, 21,695 genes were identified, and 99.17% of genes could be annotated using gene functional databases. Our genome assembly and annotation process was validated using a phylogenetic tree, which included six species and focused on single-copy genes of nuclear genomes. This research will contribute to future studies on Trimeresurus biology and the genetic basis of snake venom.
Efficacy of Retrograde Intrarenal Surgery Versus Percutaneous Nephrolithotomy In Treating Lower Pole Stones of 1-2 cms
Authors: Sheikh Sheeraz , Javed Altaf jatt  , Waqar Ahmed Memon  , Jatoi Taimoor , Arain Adeel Hyder , Mal Pooran
Published: January 2024

Introduction Urologists are always inclined to find techniques with minimal complication and hospital stays with maximum stone-free rates to mitigate not only health concerns but financial burdens too. PCNL is known as the gold standard for large stones, however, RIRS is known for its less invasive and minor complications. Methodology This is a cross-sectional, prospective study conducted at the public hospital of Jamshoro. Patients with renal stones located at the lower pole, measuring 1-2 cm were included. Patients were evaluated before enrollment and detailed history was taken. Intraoperative and post-operative details were documented. SPSS 21 was used to analyze the data, and to assess significance chi-square test was used, a p-value < 0.05 was considered significant. Results The mean age was 42.7 ± 12.8 and 43.2 ± 13.2 in the RIRS and PCNL groups respectively. The RIRS group showed 07 (17.5%) partial clearance cases while PCNL group showed 02 (5%). Hemoglobin drop was measured as minimal (< 2.5ml) and excessive (>2.5ml) after surgery, and only 01 (2.5%) cases of RIRS had excessive blood loss, PCNL group had higher hemoglobin drop cases with 3 (7.5%) cases. Blood transfusion was required in 1 (2.5%) and 2 (5%) cases in the RIRS and PCNL groups respectively. Conclusion RIRS can be beneficial in small stones while PCNL can be an ideal procedure for lower pole renal stones of 1-2 cm size.
Indication of Hyperhomocysteinemia in Type 2 Diabetes Mellitus Patients with Cardiovascular Complications
Authors: Sardar Afsheen , Mahmood Alam Junaid , Hussain Amna , Mahmood Syed Riaz , Maqsood Ansari
Published: January 2024

Introduction Cardiovascular disease (CVD) is one of the prominent causes of mortality in cases of chronic Type 2 diabetes mellitus (T2DM) patients and necessitates improving risk categorization. There are few available biomarkers that can assess preceding or current glycemic and cardiac status, but not prognosis. Serum homocysteine (Hcy) has been indicated and reported to be a likely biomarker that can detect cardiovascular complication in patients with T2DM. Methodology Present study details the comparative analysis of several biochemical and metabolic biomarkers including Hcy in T2DM patients with and without CVD complications. A total of eighty patients, n = 40 each in T2DM with CVD and T2DM without CVD, were included in the study.  Patient’s preparation, blood sample collection and analyses of all biochemical, metabolic markers including Hcy were performed as per standard protocols.  One way ANOVA was used for independent measures including Tukey HSD with level of significance at P< 0.05. Results Indication of hyperhomocysteinemia, was significantly apparent in patients with T2DM who have CVD, as compared to those with T2DM without CVD.  All other biochemical and metabolic parameters manifested marked significant (P< 0.00001) elevations, which was more perceptible in T2DM CVD as compared to T2DM non CVD. Clinical relevance of high Hcy in blood in patients with T2DM CVD thus suggested being prominent risk factor for proceeding renal and cardiac complications.
Heat Inactivation of Avian Influenza (H7N3) Virus In Experimentally Infected Chicken Meat
Authors: Channa Amjad Ali , Shah Atta Hussain , Mangi Ayaz Hussain , Kalhoro Nazeer Hussain , Nizamani Zaheer Ahmed , Hidayatullah Soomro  , Jamali Muneer Ahmed
Published: January 2024

Introduction Avian influenza virus (H7N3) cause severe systemic disease in chickens and can be persisted in infected chicken meat that cause public health concern. Influenza viruses are heat liable but parameters for heat inactivation have not been known. Methodology The study investigated the quantitative heat inactivation of H7N3 virus from experimentally infected chicken meat. Twenty (20) sero-negative broiler chickens of 04 weeks age were divided into two group viz A (control) and B artificially infected by giving 0.1ml of 106 embryo infectious dose 50 (EID50) (H7N3) virus through intranasal route. Birds were slaughtered on day 9 post infection and tissues (trachea, kidney, lungs and liver) were collected. Inactivation curves were determined at temperature 60, 61, 62, 63 and 64°C. Results Based on D values, time to inactivate H7N3 virus depends on viral titers and inversely related to temperature. This study investigated confirmed that H7N3 virus was effectively inactivated in chicken meat at 60°C in 4 minutes while at 64°C in 1 minutes. Moreover, protocols per log EID50/g reduction in terms of D values at 60 and 64°C were noted 120 and 30 sec, the coefficient of regression ranged as 0.941 to 0.889.
Analysis of Mucosal- Associated Invariant T Cell Levels And Their Correlation With Tumor Immune Status In Patients With Brain Tumors
Authors: Latif Barha , Hafiz Muhammad Haseeb Khaliq  , Asad Ullah  , Khawar Anwar  , Arshad Adnan
Published: January 2024

Introduction: Primary brain tumors refer to a heterogeneous group of tumors arising from cells within the CNS, and can be benign or malignant. In recent years, experimental evidence suggests that, despite the presence of blood-brain barrier (BBB) and lack of discrete lymphoid tissue, there are immunocompetent cells (TILs-Tumor infiltrating lymphocytes) within the brain parenchyma. Many of these cells are T-Lymphocytes known as CD8+ Mucosal-associated invariant T (MAIT) cells, which proliferate with stimulation, and are cytotoxic to tumor cells in vitro. To evaluate the frequency of unconventional MAIT cells in the setting of brain tumors by expression analysis of their three defining markers CD3D, KLRB1 (CD161) and a TCR a-chain variant Va7.2 (TRAV1-2 gene). Methodology: The study involved collecting EDTA blood samples and fresh brain tissue biopsies from selected population followed by RNA extraction and cDNA synthesis for measurement of relative expression analysis in blood and tissues samples. Expression data was generated by semi-quantitative real time PCR. Results: The outcome of this study demonstrated higher expression level of  CD3D, KLRB1 (CD161) and a TCR a-chain variant Va7.2 (TRAV1-2 gene) in the blood of patients compared to the tissue samples showed little to no transmigration of these MAIT cells in the diseased tissues. Also, the expression of genes under-investigation was observed decreasing in both blood and tissue samples with the progression of tumor. Conclusion: MAIT cells might undergo depletion in the tumor micro-environment due to chronic activation induced exhaustion of these cells.
Features of higher medical education in a virtual environment
Authors: Vorobyov A. E. , Mamasaidov J. , Vorobyov К. А.
Published: January 2024

The work is devoted to the problem of digitalization of higher medical education and solving the problems of this industry. Using the example of a VR surgical simulator, which consists of an interface connected to various necessary mechanical or tactile devices, techniques for mastering technical and psychomotor skills (for example, in endoscopic surgery) are highlighted, since it can be used repeatedly and requires only a short time to set them up. And also using the example of anatomical 3D models that allow students to explore various physical objects by manipulating them. Using various types of soft-ware tools, ways of effective application are summarized and corresponding conclusions are drawn.
Relevance of simulation centers in the development of future medicine
Authors: Dzhamaldinova S. О. , Ismailova U. I.
Published: January 2024

Simulation centers play a crucial role in the development of emoti onal and communication skills for various professions, including healthcare. The purpose of simulation centers in this context is to provide a safe and controlled environment where medical students can practice and improve their emotional and communication competencies through realistic scenarios.
Development of competence in students when teaching practical skills in measuring blood pressure and cardiopulmonary resuscitation
Authors: Soliev A. U. , Urakova D. A.
Published: January 2024

In a study involving 33 fourth-year medical students, the BT-ACTB simulator was used to teach critical care skills. Students were trained in measuring blood pressure and cardiopulmonary resuscitation using Peyton’s methodology. The results showed that students made mistakes in performing chest compressions at the beginning of training, but by the 10th day the majority had achieved the required level. The depth and frequency of compressions, hand position, accuracy of ventilation and inspiratorytiming improved by the end of training. The use of the simulator was assessed as an eff ective means for developing student competence. Blood pressure measurements were also carried out, where students demonstrated high competence by the end of the training. The BT-ACTB simulator is considered an ideal tool for assessing and developing the practical skills of students in the fi eld of critical care.
Making Information Matter
Authors: Kaufmann Mareile
Published: January 2024

This book advances a new view of information and surveillance practices, as well as their related agencies, politics, and powers. Drawing on case studies, the author crafts a new methodology of studying information life cycles which will help us navigate information regimes today.
Detroit after Bankruptcy
Authors: Darden Joe T.
Published: January 2024

Detroit is the first city of its size to become bankrupt and policy-makers have argued that, since then, it has entered a 'new beginning'. This book analyses whether Detroit's patterns of inequality on race and class lines still exist and whether the city is truly reversing its decline.
Disease Transmission Prevention Management of Washing Hands with Soap for Students: Case Study at the University of Jakarta, Indonesia
Authors: Wiharto Mulyo , Puspitaloka Mahadewi Erlina , Maratis Jerry , Firmansyah Agus
Published: January 2024

The present study reports the first comprehensive study on management preventing efforts on disease transmission has been carried out by washing hands with soap since hands are the most transmittable disease medium. Hands should always be clean by using washing hands with soap (CTPS) following to the correct steps. Before practicing CTPS, respondents were given counseling about hand washing by carrying out 7 steps of washing hands starting with rubbing the palms, back of the hands, between the fingers, closing the right and left fingertips, rubbing the thumbs, cleaning the fingertips then ending by wiping the wrists, rinse with water and dry. The results of observations in class action research on 47 respondents that are university students in Jakarta Indonesia concluded that most respondents (59.57%) had practiced CTPS correctly. The results of the observations of the CTPS steps or steps can showed that most respondents (86.02%) have carried out these steps, in fact all respondents have carried out step 1 and step 7 correctly. The quality of the implementation of the CTPS steps, which were mostly good, was made possible by the educational factors possessed by the respondents and the information obtained during the counseling before the respondents carried out the CTPS practices. The good quality of the implementation of the CTPS steps was also made possible that most of the respondents around 74.47% were women.
Effect Of Overbrengen Delay From CY To CFS Warehouse On Stripping Implementation At PT. Internusa Hasta Buana
Authors: Wani Sihaloho Otri
Published: January 2024

In goods import activities at PT. Internusa Hasta Buana overloaded from the Container Yard (CY) to the CFS Warehouse. Delays in ships and Delivery Order documents are factors that cause overbregan delays and will affect stripping productivity at PT Internusa Hasta Buana. The aim of this research is to analyze the effect of overbregan delays on stripping productivity at PT Internusa Hasta Buana. Data collection techniques using observation and interviews. The population of this research is container handling activities at PT. Internusa Hasta Buana with samples namely Overbringing and Stripping Activities which experienced delays at PT. Internusa Hasta Buana Jakarta, in 2007. The method used is quantitative description. The results of the research show the results of the analysis regarding the relationship between late Overbringing and Stripping at PT. Internusa Hasta Buana using correlation analysis shows a value of r = 0.83. This proves that the influence of Overbrengen delay on Stripping has a strong and positive relationship on the productivity of PT's Stripping implementation. Internusa Hasta Buana, the results of hypothesis testing with an error rate of 5% on all sample data, obtained the number t0 = 4.36 > t table = 1.182 so that Ho: r = 0 is rejected and Ha: r> 0 is accepted, meaning there is a significant relationship between Delay Overbrengen and implementation of Stripping at PT CFS Warehouse. Internusa Hasta Buana and the results of the analysis of the influence of Overbrengen delays on the implementation of Striping using coefficient analysis obtained the regression equation model Y = 9.17 + 1.01, which means that if the variable for Overbrengen and stripping delays (X) increases by 9.17 times then the variable for the number of containers which in Overbrengen and Stripping will increase by 1.01 times. The results of the determining coefficient obtained were 68%, meaning that the influence of late Overbrengen on the implementation of Stripping at the CFS Warehouse of PT. Internusa Hasta Buana was 68% and the remaining 32% was due to other factors being ignored, as well as delays in Overbringing to PT's CFS warehouse. Inernusa Hasta Buana is caused by several factors including: delays in Delivery Order documents from shipping companies.
The Effect Of Financial Capability, Technology Usage And Prior Bank Experience Into Millenial Online Shopping Behavior
Authors: Kurniasari Florentina , Kurniasari Florentina , Abubakar Arlyana
Published: January 2024

The rapid development of technology has made all aspects of human life easier. Online shop is a form of change brought about by technological developments. With an online shop, humans can shop wherever and whenever. This convenience, of course, must be followed by sufficient financial capabilities because the ease of shopping that is not followed by good financial capabilities will cause new problems, especially financial problems. With a quantitative approach, researchers want to find out whether Financial Capability, Technology usage, and prior bank experience influence a person's online shopping behavior. The sample in this study were residents of Jakarta and Tangerang aged between 19-34 years. Data collection was carried out by distributing questionnaires through the Google Form. Meanwhile, to analyze, researchers used Smart-PLS 3.0 software. The results of the study concluded that financial capability has a positive effect on online shops, while technology usage and prior bank experience have no effect on online shops.
The Role of Zakat in the Economy and Poverty Alleviation
Authors: Siregar Hilyati Inayah , Chudriana Putri Rafika , Shabri Abd. Majid M. , Harahap Isnaini
Published: January 2024

The main task of every government is to strive for the welfare of its entire population. According to data from the Indonesian Zakat Outlook, Indonesia has 600 networks of Zakat Management Organizations (OPZ) spread across the entire territory of the Republic of Indonesia. These networks are part of 34 National Zakat Management Bodies (BAZNAS) at the provincial level, 500 BAZNAS at the district and city levels, 24 Provincial Zakat Amil Institutions (LAZ), 14 LAZ at the provincial level, 32 LAZ at the district and city levels, and 136 Zakat Collection Units (UPZ). The research method used in this study is descriptive qualitative research, where the researcher describes the findings of the study. The research objects include relevant books and journals. The study reveals that BAZNAS and other zakat managers achieved a 1.76% poverty reduction rate in 2022.
Simplification of the Prony Brake Dynamometer System Using Brake Caliper Load
Authors: Tjandra Suhatati , Suhartono Andri , Salim Suswanto Tonny
Published: January 2024

The torque of the DC motor needs to be known to determine the maximum load that can be exerted at a given speed. Torque measurement can be done with a dynamometer. The dynamometer uses the Prony Brake type, which uses the principle of frictional force to provide a load on the motor. The application of frictional force uses brake capillary load to produce a dynamometer with the Prony Brake type that is simple in manufacture and testing but reliable and accurate in making measurements. In the Prony Brake dynamometer, there are usually two pieces of wood used as a link between the motor and the torque arm; at the end of the torque arm, there is a ballast whose ballast value is multiplied by the length of the arm to produce the torque value of the DC motor. The results of the trials that have been carried out are that the reading results of RPM sensors, weight sensors, and voltage sensors have a deviation of less than 2%, and the current sensor readings have a deviation of less than 5%. The Prony Brake dynamometer that has been made can read the maximum torque value with a deviation of about 2% from the existing data.
Road Safety Awareness: Australian Road Crash Case Study
Authors: Jessica Jessica , Sunardi Oetama Raymond
Published: January 2024

Road transportation accidents are a significant public health and safety issue worldwide. In Australia, regarding transport-related deaths, the age-standardized rate was higher in one specific year compared to the preceding year. This study aims to make visualization of crash data in Australia play a crucial role in understanding the country's current state of road safety and developing strategies to improve it. Data visualization techniques are essential in understanding and addressing road safety in Australia. New South Wales has the highest number of accidents in Australia, with 16,293 cases. Accidents in New South Wales are projected to decline gradually over the next three years. The peak time for accidents is 3 PM on weekdays, with males being more involved than females. Drivers are the most involved road users in accidents. Implementing targeted road safety initiatives, gender-specific awareness campaigns, and driver safety programs can help reduce accidents in New South Wales and create a safer environment for all road users. By analyzing accident data visually, patterns and trends can be identified, leading to targeted interventions and improved safety measures to reduce the number of accidents and fatalities on the roads.
The Influence Of Work Culture And Work Discipline On Employee Performance At Advent Hospital Medan
Authors: Sarah Hotmauli , Sjahri Effendy , Patisina
Published: January 2024

Hospital performance is very important to ensure that patients get the right care according to their needs. Hospital performance is also very important to ensure that hospitals can carry out their functions properly and efficiently, and are able to provide quality services to patients. This study aims to determine the effect of culture and work discipline on employee performance. This research was conducted at the Medan Adventist Hospital with a sample of 100 hospital employees. The results of the study show that the contribution of organizational citizenship behavior and social intelligence to performance is 72.0% so that a high work culture and discipline improve employee performance so that it motivates employees to work. Disciplined behavior will lead to productivity and end in performance.
Fraud Detection in Credit Card Transactions Using HDBSCAN, UMAP and SMOTE Methods
Authors: Setiawan Rudy , Tjahjono Budi , Firmansyah Gerry , Akbar Habibullah
Published: January 2024

Credit card abuse and fraud in credit card transactions pose a serious threat to financial companies and consumers. To overcome this problem, accurate and effective fraud detection is essential. In this study, we propose an approach that combines HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise), UMAP (Uniform Manifold Approximation and Projection), and SMOTE (Synthetic Minority Over-sampling Technique) methods to detect fraud in credit card transactions. The HDBSCAN method is used to group transactions based on their spatial density, allowing identification of suspicious groups of transactions. UMAP is used to reduce the dimension of transaction data, thus enabling better visualization and more efficient data analysis. In addition, we use SMOTE to overcome class imbalances, namely differences in the number of fraudulent and non-fraudulent transactions. In our experiments, we used. In this experiment, we used a dataset of credit card transactions that included both fraudulent and non-fraudulent transactions. The experimental results show that the proposed approach is able to detect fraud with high accuracy. The HDBSCAN method is able to effectively identify suspicious groups of transactions, while UMAP helps in better understanding and visualization of data. The use of SMOTE has successfully overcome class imbalances, resulting in more balanced fraud detection results between fraud and non-fraud. The results of this study show that the combination of HDBSCAN, UMAP, and SMOTE methods is effective in detecting fraud in credit card transactions. This approach can help financial companies identify suspicious transactions with high accuracy, reduce fraud losses, and improve the security of credit card transactions.
Clinical Information System Using Extreme Programming Method
Authors: Purnama Iwan
Published: January 2024

Clinic is a health service facility that organizes individual health services and provides basic and/or specialist medical services. If the clinic does not use a computerized system, it will hamper the patient handling process. Obstacles were found at the Rantauprapat Internal Clinic Clinic, including patient registration which was still done manually with patients having to fill out paper forms directly to the clinic, not having a queuing system for treatment, medical record management which was still manual by handwriting. This can take a lot of time in the data search process. The purpose of this application is to facilitate daily operational activities in clinics that run quickly and precisely, as well as medical data management to be more accurate (minimizing human error). The analysis method uses the Soft System Methodology (SSM), and the system development method uses Extreme Programming (XP). This website-based application uses the PHP programming language which is supported by the MySQL database. Based on blackbox testing, all features can run/100% valid. This information system helps the work process in the clinic to be faster, documenting structured medical records, reducing paper use, and facilitating activities in patient care.
Application of The Completely Random Design Statistics Method For Analysis of Different Filter Types In Fresh Water Fish Pool Water Recirculation System
Authors: Heru Kartika Candra  , Syamsudin Noor  , Muhammad Bahit  , Rinova Firman Cahyani  , Dwi Mulyani
Published: January 2024

In meeting their daily water needs (bathing and washing), the majority of the people of South Kalimantan (South Kalimantan) have been using river water and peat well water, as is the case for fresh water fisheries. However, the water used is cloudy and smells because it is water that is polluted by household waste, and of course it shows the quality of the water that is still being debated for the process of fish cultivation. In the process of cultivating freshwater fish, the standard mechanism is still used, namely by making tarpaulin ponds for fish ponds and river water as a medium for fish cultivation and the process of providing feed. In the process there are several things about water quality and conditions, and several other issues, namely about water circulation, temperature, humidity, pH and oxygen regulation of fish pond water. Fish excrete waste from leftover feed and metabolism which contain lots of ammonia (Effendi, 2003). Fish excrete 80-90% of ammonia through osmoregulation processes, feces and from urine. To produce quality pond water as a medium for fish cultivation, it is necessary to have a proper and good water filter. This study aims to obtain the best filter substrate in increasing the growth and survival of freshwater fish fry reared using polluted river water in a tarpaulin pond with a recirculation system. The filter method used in this study was an experimental method using one factor Completely Randomized Design (CRD) with four treatment levels and three replications. The treatments applied were P0 = Zeolite, Charcoal, Japmate, Bio Foam, P1 = Bamboo, Charcoal, Japmate, Bio Foam, P2 = Bioball, Charcoal, Japmate, Bio Foam and P3 = Bioring, Charcoal, Japmate, Bio Foam. The resulting data were analyzed for analysis of variance (ANOVA), then continued using the BNT test with 95% and 99% confidence intervals. From the results of the study, the measurement results obtained were for the specific growth rate test (SGR) of 1.15%, the survival test (SR) of 86.66% and the feed conversion ratio test (FCR) of 3.10%. While the supporting parameters are water quality, namely the results of water quality, namely, temperature 28.1 – 30.3 0C, pH 7.4 – 8.1, DO 5.24 6.53 mg/L, NH3 0.06 – 0.40 mg/L, NO2 0.056 – 0.90 mg/L and NO3- 0.28 – 0.190 mg/L. In addition to producing filter products that can support SGR, SR and FCR in freshwater fish, it is hoped that this research will also produce scientific paper outputs that will be published in International Conferences/International Journals and become part of the Study Program's Coursebook for the Accounting Department. Computerized Poliban Accounting and can be applied in the community through the Community Service program
Introduction of emergency equipment for floods, fires and riots in Augmented Reality
Authors: Ichsan Fadla , Istiono Wirawan
Published: January 2024

Indonesia is one of the countries with a high risk of natural disasters in several regions. Emergencies can result in death or property destruction. While dealing with catastrophes, swift action and anticipation are required; yet, if the community is unfamiliar with emergency equipment, it will take longer to overcome emergencies. It turns out that many people still do not understand emergency equipment information correctly. The active engagement of the community in recognizing emergency equipment can be enhanced by the provision of information. The implementation of an application utilizing Augmented Reality technology and the Fisher Yates Shuffle algorithm aims to enhance public awareness and promote active engagement in identifying emergency equipment. Once the application has been developed and constructed, the evaluation process will involve the utilization of a pre-test, post-test, and the N-Gain Score methodology. The N-Gain Score is a valuable tool for gauging the extent of the community's comprehension in identifying emergency equipment. Additionally, a Questionnaire will be employed to evaluate the level of user satisfaction with the application. The findings of the study revealed that the level of knowledge acquired by users, as assessed, was 57%. This suggests that users demonstrate a relatively high level of proficiency in understanding emergency equipment when utilizing the application. Furthermore, the overall satisfaction of users with the program received a final score of 86%, showing a high degree of effectiveness.
Implementation of Naive Bayes Classifier (NBC) for Sentiment Analysis on Twitter in Mobile Legends
Authors: Kusnanda Deden , Permana Angga
Published: January 2024

On July 11, 2016, the mobile legends game was first released on the Indonesian server, and became one of the first MOBA games to enter the e-sports branch in Indonesia. The popularity of this game is growing rapidly, reaching more than 500 million downloads in the play store, and reaping a lot of controversy from mobile legends players. So that people create content and express their concerns through social media Twitter in the form of uploads and tweets. This makes the writer want to know how the public sentiment towards mobile legends online games on Twitter social media. The purpose of this research was to analyze how people's opinion about the Mobile Legends Online Game uses the Naïve Bayes Classifier method and to find out the level of accuracy that is obtained automatically by the system. As well as doing manual testing of the Confusion matrix from the results obtained. in classifying tweets. The results of community tweets taken using the data scraping method totaled 217 tweets and became a dataset, after the preprocessing process the tweets totaled 199 and became data testing, after being labeled it showed 100 positive tweets, 25 negative and 74 neutral. The level of accuracy obtained using the Naïve Bayes Classifier method is 80% with 104 positive tweets, 7 negative tweets and 88 neutral tweets. With a precision value of 83% positive, 100% negative and 76% neutral. The recall values obtained were 86% positive, 28% negative and 91% neutral. As for the F1-Score values obtained 84% positive, 44% negative and 83% neutral.
Generates Warning Signals Based on Number Plate Recognition to Prevent Parking Violations
Authors: Sony Alfathani Ahmad , Ar Roiyyaan Rilwanu , Rinanda Saputri Fahmy
Published: January 2024

Parking violations are very frequent around us, especially in urban areas, which greatly disturbs other road users so the government imposes strict sanctions on parking violations. To solve this problem, a surveillance system is needed to immediately alert drivers to move their vehicles to the correct parking space. In this paper, a monitoring system for parking violations has been developed that focuses on carrying out license plate recognition on cars and giving warnings to drivers to move their cars from the wrong parking location via voice media. The steps involved in license plate recognition are license plate detection, character segmentation, and character recognition by performing OCR (Optical Character Recognition). Furthermore, the license plate recognition results will be used as input for sound generation as a warning. In this paper, a GUI was also developed to help users run programs that have been developed. Finally, the experimental results show that a simple monitoring system to alert parking violations can be established.
Enhancing Information Technology Governance: A Comprehensive Evaluation Of The 2019 COBIT Framework In The Retail Industry
Authors: Viriyatama Lim Marco , Indah Fianty Melissa
Published: January 2024

A retail company faced challenges such as network issues, unreliable third-party databases, and a lack of employee understanding of input transactions and the introduction of new products or services. The research employed interviews and questionnaires to address these issues and assess the company's information technology governance using the 2019 COBIT framework. The findings would help identify appropriate processes to address the company's difficulties. The prioritized domains included APO12 - Risk Management, BAI03 - Solution Identification and Development, BAI06 - IT Change Management, and BAI10 - Configuration Management. The research revealed that APO12 reached level 3 (highly achieved), while BAI03 and BAI06 reached level 4 (significantly achieved), and BAI10 achieved level 4 (completely achieved), aligning with the company's expectations. These results determine the company's IT governance level and have the potential to enhance its capabilities.
The Impact of Service Quality, Customer Satisfaction, and Trust on Customer Loyalty among BRILink Agents in North Sumatra
Authors: Firmansyah Fandi , Sugiat Maria , Yunita Irni
Published: January 2024

Abstract.

 

The shift of business into the digital era demands the banking industry to innovate in serving customers. One of the innovations by PT. Bank Rakyat Indonesia is the e-channel service named Brilink, which is spread across all regions. Local entrepreneurs are appointed as Brilink agents with the aim of providing banking services to individuals who are not yet served by banks, both unbanked and unbankable as stipulated in Article 16 of POJK No. 19/POJK.03/2014. Public distrust towards Brilink agents is attributed to the quality of service provided by these agents, which does not align with BRI's service standards, particularly in utilizing the Brilink application. Therefore, this research aims to examine the influence of the service quality, customer satisfaction, and trust variables on customer loyalty at Brilink agents in North Sumatra, Indonesia. This study employs a quantitative approach with a sample size of 400 respondent customers of Brilink agents. The research offers insights into the role of Brilink agents in marketing products, thus facilitating their understanding and utilization by customers. Furthermore, it holds social benefits in enhancing financial literacy and inclusion among the population in North Sumatra, ultimately contributing to welfare improvement and economic growth.

Keywords: service quality, customer satisfaction, trust, customer loyalty.
Evaluation of Information Technology Governance Using BAI Domain In Hospital
Authors: Fernando Erick
Published: January 2024

The governance of information technology in hospitals is a crucial component in facilitating the alignment of information technology initiatives with the strategic objectives of XYZ hospital, thereby contributing to the achievement of its organizational goals. XYZ hospital is currently facing a number of challenges, one of which pertains to the Information System utilized for delivering services to visitors. The resolution of this problem can be achieved through the implementation of an assessment using the Cobit 5 framework, specifically targeting the BAI domain. This approach aims to offer recommendations for enhancing the value of capability levels, thereby improving information technology governance within the hospital setting. The results of the investigation conducted on the evaluation of information technology governance utilizing the Cobit 5 framework at "XYZ" hospital demonstrate that the BAI Domain, particularly BAI Domain 05, has attained a maturity level of 3, whereas BAI Domain 08 has attained a maturity level of 2. The two domains in question demonstrate the least developed levels of maturity when compared to the remaining domains. In contrast, BAI Domains 02, 03, 06, 09, and 10 have attained a maturity level of 4, denoting a heightened level of maturity. Finally, BAI Domains 01, 04, and 07 have successfully attained the intended level of maturity.
Planning and Implementation of Event Marketing in Sociopreneurship
Authors: Evanthi Ayundha , Mukti Azhar Ratih
Published: January 2024

Growing in popularity and garnering a lot of public attention right now is social entrepreneurship, which has the ability to lessen societal problems and enhance people's quality of life.  Social entrepreneurs can utilize event marketing to enhance event experiences and boost behavioral intention. The purpose of this study is to outline the components of implementation, restrictions, and planning. Using participant observation approach methodologies, interviewing techniques, descriptive qualitative kinds, and source triangulation as a measure of data validity, this study examines the marketing of CIS (Creative Inclusion Sociopreneurship) events. The study's findings demonstrate how social entrepreneurship-focused events improve guests' event experiences through event marketing, where customers engage with brands and provide value. Events give customers the ability to directly engage with brand reality. Consumers help create the experience, thus through event marketing, the business should give them access to an engaging environment where experiences can occur. Event marketing is not only an idea; it needs to be put into practice. This study also indicates that intention and implementation are related, with the event influencing the intention to suggest and revisit the event as well as the desire to feel satisfied with the experience. The organizer of the sociopreneurship marketing event must assemble comprehensive planning and implementation recording that is clear, comprehensive, and includes all necessary information for pre-, main-, and post-event marketing.
Recommender System for STEM Enrolment in Universities Using Machine Learning Algorithms: Case of Kenyan Universities
Authors: Ondiek Benard , Waruguru Lucy , Njenga Stephen
Published: January 2024

Technology, Engineering, and Mathematics (STEM) enrolment has gained a lot of research interest. The increase in demand for STEM-based skill sets has contributed to the need for systems that could potentially increase enrolments in the field. The purpose of this study was to investigate recommender systems for STEM enrolment in universities using machine learning algorithms. Students face challenges while selecting STEM courses that match their attributes. This article aims to provide a recommender system for STEM enrolment using machine learning algorithms. The article investigates three machine learning algorithms which include Support Vector Machine (SVM), Artificial Neural Network (ANN), and Naïve Bayes. Accuracy and validation techniques were applied to test the algorithms. The results demonstrated that our work performed better than that of the published research, with the ANN outperforming other classification methods. The results position ANN as an important algorithm in building a recommender model for STEM higher education enrolment. The study also identifies high school grades and Interest in STEM courses as important features in predicting STEM course enrolment in higher education. The study will guide policy on the courses to lay more emphasis on, as well as for the funding authorities to prioritize funding allocation for STEM-based courses.
Factors Affecting Infrastructure, Utilities, And Transportation Stock Price
Authors: Annas Mohammad , Humairoh Humairoh
Published: January 2024

The aim of the study was to define the performance of the blue-chips stock price listed at The Indonesia Stock Exchange in particular the stock price of the establishments which organize the energy sectors, infrastructure and transportations. The reason of choosing those particular establishments was due to its fluctuate and price correction frequently. The analysis was done by distributing the related research variables and endorsed the hypothetical factors. The chosen factors then being simulated with statistical analysis instruments. The independent variables such as the inflation rates, interest rates and private investments were simulated to have particular correlation and affecting rate toward the stock price. The findings showed that fundamental variables had no effect on the stock prices of the infrastructure, utilities, and transportation sectors.