bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of Laboratory Findings, Hospitalization Day and Ex Rates of COVID-19 Patients with Comorbidity
Authors: ACİ Recai , KESKİN Adem , ARI Murat
Published: May 2022

Objective: The purpose of the present study was to investigate the laboratory findings in terms of comorbidity, taking into account the length of hospital stay and death rates of COVID-19 patients.Method: Forty-four patients with COVID-19 hospitalized in intensive care unit and 71 patients hospitalized in the ward were included in this study. Whole blood parameters, C-Reactive Protein (CRP), Procalcitonin, Ferritin, Erythrocyte Sedimentation Rate (ESR), Troponin-I, Creatine, Prothrombin time (PT), Activated partial thromboplastin time (aPTT) International normalized ratio (INR) and D-Dimer results of the patients between hospitalization day and death rate correlation analysis was performed. In addition, the effects of these parameters on comorbid diseases were evaluated.Results: PT, INR, CRP, Ferritin, Procalcitonin, ESR, D-Dimer, Troponin-I, White blood cell, Neutrophil, Monocyte Lymphocyte Ratio, Neutrophil Lymphocyte Ratio levels of the patients were positively correlated with hospitalization day and death rate, while Lymphocyte levels showed a negative correlation. It also showed a positive correlation with ex rate and Monocyte, Creatine and Platelet levels.Conclusion: It was determined that patients with Chronic Obstructive Pulmonary Disease, Pneumonia comorbidities and Cardiovascular Disease had higher hospitalization days and intensive care unit admission rates than patients without comorbidity. In addition, patients with Diabetes, Cancer and Chronic Kidney Failure were found to have higher rates of intensive care admission compared to patients without comorbidity.
Connectivity Analysis of WSN Nodes using Neighborhood Search Technique (WSNNST)
Authors: Iskandarani Mahmoud Zaki
Published: May 2022

A new approach to wireless sensor network (WSN) communication through multi-hop routing is investigated in this work. The proposed approach utilizes search radius expansion in order to find highest energy nodes within a WSN network and preserves the energy of the lowest energy nodes. This approach which is built on trust in terms of providing good quality communication channels between a source node and a destination node considers energy as one parameter of trust that will enable strong, reliable communication channels and shorter routes to be used in a WSN. This approach enables efficient energy consumption during data communication, but with higher level energy consumption due to expanded search radius, which can be minimized using search time limit. The work also relates through mathematical equations, number of discovered routes, maximum hops, and search time to the considered search radius. The overall objective of this work is to enable faster and efficient channel communication between WSN nodes, through gradual cost effective search in neighborhoods. This is achieved by uncovering shorter and less number of routes within an acceptable time limits. The proposed and simulated approach presented in this work differ in terms of the gradual expansion of search and the equal increments in search radius compared to other used techniques. The presented work also adds a unique feature of allowing re-charging of low energy nodes using the already established routes connecting high energy nodes through the registration of weak nodes locations. A final general expression relates search radius to other WSN variables is also presented.
The Culture of The Following of Melayu Identity in Indonesia
Authors: Sutikno Sutikno
Published: May 2022

The diversity of ethnic groups makes Indonesia also has a lot of local culture, one of which is folklore. Part of the culture of a society that is spread and traditional in nature which is passed down orally and from generation to generation is also called folklore. Folklore consists of two big words, namely folk and lore. Folk means a group of people who have physical, social, and cultural identifiable characteristics so that they can be distinguished from other groups. This research is a culture-based research that investigates folk culture as the identity of the Malay Archipelago tribes in Indonesia. Folklore or in Indonesian commonly referred to as folklore, is a branch of science that reviews and discusses culture. Folklore consists of two syllables, namely folk and lore. The purpose of this study is to describe Malay folklore as the development of the identity of the Malay community. This research is a qualitative descriptive study with an analysis method (content analysis). This research describes, analyzes, interprets the data. The method of analysis is using the literary reception approach and hermeneutics. The literary reception approach is used to find out how readers respond to Nusantara Malay folklore in Indonesia. The results of the analysis based on folklore (folklore) of the Archipelago in Indonesia, obtained include 1. People who always act and behave correctly always win, 2. People who act and behave in the wrong way will eventually perish, 3. God can make any miracle so that it doesn't happen. nothing is impossible for Him, 4. People who are arrogant, arrogant and have bad intentions will get reinforcements according to their actions. 5. The poor and weak should not be insulted or excluded because by the power of God they can become strong. So it can be concluded that the notion of folklore is a human culture (collectively) which is passed down from generation to generation, both in oral form and in the form of gestures. In Indonesia itself, every region, ethnicity, group, tribe, and religious group of each society has developed its own folklore so that there are various kinds of folklore that exist in Indonesia
Preliminary Geotechnical Assessment of Residual Tropical Soils around Osogbo Metropolis as Materials for Road Subgrade
Authors: Oyelami C. A. , Akande W. , Kolawole T. O.
Published: May 2022

Failure of roads is common in most part of the tropical region of the world. Majority of which can be attributed to poor selection of soil materials for road construction and climate. This study is aimed at investigating the properties of lateritic soil as material for road construction. Following an initial visit to the study area, soil samples were taken and subjected to geotechnical analyses such as particle size analysis, natural moisture content, Atterberg limits, compaction test, California Bearing Ratio (CBR), and direct shear test. All the tests were carried out according to the BS standard 1377 (1990). Results revealed a well graded fairly coarse soil with natural moisture content varying from 6.2-29.4 %. Atterberg limits shows a medium plasticity soil with medium compressibility and the soils classified within the A ? 2, A ? 6 and A ? 7 of the AASHTO classification scheme. In terms of soil strength, the maximum dry density (MDD) and optimum moisture content varies from 1210-1520 kg/m3 and 13-24 %, respectively while California Bearing Ratio (CBR) value varied between 2.27- 45.32 % at 2.5 mm and 3.01 - 44.59 % at 5.0 mm. The shear strength of the samples ranged from 31.28-186.41 kN/m 2 . Based on the results, the study concluded that the clayey nature of the soils was responsible for poor geotechnical properties which were generally below the specifications of the Federal Ministry of Works and Housing (FMWH), hence mostly not suitable in its present condition but could be improved to satisfy the conditions for use as sub- grade and sub-base soil in road construction.
The corrosion characteristics of SS316L stainless steel in a typical acid cleaning solution and its inhibition by 1-benzylimidazole: Weight loss, electrochemical and SEM characterizations
Authors: Adama Kenneth , Onyeachu Ikenna
Published: May 2022

Acid cleaning, an inevitable industrial practice used to descale chemical reactors, usually causes serious corrosion attack on underlying alloy substrates. Ameliorating this phenomenon requires the addition of effective corrosion inhibitors into the acid solution. Current global regulations encourage environmentally–benign molecules as corrosion inhibitors. Consequently, 1-benzylimidazole has been investigated for its inhibitive characteristics against the corrosion of SS316L stainless steel in a typical acid cleaning solution containing 2 % HCl + 3.5 % NaCl. Weight loss measurements confirm that the corrosion inhibition property of 1-benzylimidazole increases with concentration but depreciates with increased temperature. Electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization (PDP) measurements confirm that 1-benzylimidazole adsorb on the stainless steel surface to isolate its surface from the acid solution. 1-benzylimidazole is a mixed-type inhibitor with greater anodic influence, and its adsorption enhances the formation and protectiveness of a passive film. Weight loss and the electrochemical measurements agree to an average inhibition efficiency > 70 % at 1000 ppm. The inhibitor adsorbs via physisorption and obeys the Temkin isotherm model. SEM surface characterization confirm the ability of 1-benzylimidazole to protect the surface microstructure of the stainless steel during the corrosion.
Statistical Modelling by Topological Maps of Kohonen for Classification of the Physicochemical Quality of Surface Waters of the Inaouen Watershed Under Matlab
Authors: EL CHAAL RACHID , Aboutafail M. O.
Published: May 2022

Self-organizing maps (SOMs) and other artificial intelligence approaches developed by Kohonen can be used to model and solve environmental challenges. To emphasize the classification of Physico-chemical parameters of the Inaouen watershed, we presented a classification strategy based on a self-organizing topological map (SOM) artificial neural network in this study. The use of a self-organizing map to classify samples resulted in the following five categories: Low quantities of Sodium Na (mg/l), Potassium k(mg/l), Magnesium Mg(mg/l), Calcium Ca(mg/l), Sulfates SO4(mg/l), and Total Dissolved Solids TDS (mg/l) distinguish Classes 2 and 3. Bicarbonate HCO3 (mg/l), Total Dissolved Solids TDS (mg/l), Total Alkalinity CaCO3(mg/l), Mg(mg/l), Calcium Ca (mg/l), and electrical conductivity Cond (ms/cm) are slightly greater in Classes 1 and 4. Except for Dissolved Oxygen D.O. (mg/l) and Nitrate NO3(mg/l), Class 5 has exceptionally high values for all metrics. The results suggest that Kohonen's self-organizing topological maps (SOM) classification is an outstanding and fundamental tool for understanding and displaying the spatial distribution of water physicochemical quality.
Diagnostic Reference Levels (DRLs) and Image Quality Evaluation for Digital Mammography in a Nigerian Facility
Authors: Anasthesia A. E. , Ibrahim U. , Yusuf S. D. , Joseph D. Z. , Flavious N. , Sidi M. , Shem S. , Mundi A. , Dare A. , Joseph D. S. , Ningi Y. A.
Published: May 2022

Diagnostic Reference Levels (DRLs) for digital mammography and image quality evaluation are important optimization tools in medical imaging. High quality mammograms are essential to the successful early detection of breast cancer. The objective of the study is to establish DRLs for digital mammography and to assess image quality of the mammograms for optimization. DRLs were established using thermoluminescent dosimeter (TLD) chips to estimate the mean glandular dose for both cranio-caudal and medio-lateral oblique projections. The TLD chips were calibrated. The DRLs were set at the 75th percentile of the distribution of the median value of mean glandular dose. Image quality was assessed using European Commission guideline for mammographic image quality assessment. Results for DRLs were 0.53 mGy for cranio-caudal and also 0.53 mGy for medio-lateral oblique. Image quality evaluation showed criteria scores for cranio-caudal and medio-lateral oblique projections as 76 % and 61.2 % respectively. The mammograms scored the highest and lowest score of 100 % and 44 % on criteria 2 and criteria 6 (absence of skin fold) respectively for cranio-caudal projections while for the mediolateral oblique projections, criteria 1 (all breast tissue clearly shown) and criteria 5 (inframammary angle clearly demonstrated) have the highest and lowest score of 96 % and 8 % respectively. The study showed that the DRLs in this study was lower than the established values in other regions of Nigeria and international established values. Image quality was within acceptable level. DRLs for digital mammography and image quality evaluation are important optimization tool that should be adopted by every radiology department with mammography unit.
It is Difficult to Remain a Scholar When The Human is Ground Into Mincemeat: Mental Boundaries and Memorial Frontiers
Authors: Troitskiy Sergey A.
Published: May 2022

The article opens a special issue of the Journal of Frontier Studies “Mental Boundaries and Memorial Frontiers”. The text raises topical issues of the nowadays cultural and historical situation, although the author is sure that it is not unique, therefore he gives it the universal name “historical catastrophe”. The subject, forced to exist in the conditions of a historical catastrophe, is in a radicalized situation of choice. The radicality of the choice makes it impossible to reach consensus between alternative options, which act not as ready-made clear models, but as radically opposed propositions to each other. The choice of one of them determines the further strategies and trajectories of the subject, the characteristics that are attributed to him by other subjects as essential. Despite the radical nature of the opposition, the boundaries between them are not defined, and pass within the subject itself, since different sides of the manifestation of the subject in an ordinary situation can combine simultaneous manifestations of both of them, and in an ordinary situation they are not opposed.
Impact of a ‘Research in pharmacy’ course on students’ self-reported competence and confidence to conduct research: Findings from a Malaysian university
Authors: Abubakar Usman , Elnaem Mohamed Hassan , Ahmed Abdulkareem Mohammed , Zaini Syahrir , Fata Nahas Abdul Rahman , Shamsudin Siti Hadijah
Published: May 2022

Objective: To evaluate the impact of a ‘Research in Pharmacy’ course on students’ self-reported competence and confidence to plan and conduct pharmacy practice research.
Method: This is a pre- and post-intervention study conducted among third year pharmacy undergraduate students in a public university in Malaysia using an online questionnaire. A ‘Research in pharmacy’ course which encompassed lectures, tutorials, and practical sessions was delivered over a 14-week period. The students were divided into groups and assigned a project supervisor to guide them in planning and conducting a research project that was completed in one term.
Result: Of the 109 students, 69 and 62 completed the questionnaire in the pre- and post-intervention periods, respectively. Students’ interest in conducting research and their interest in learning about research was similar in both periods. However, self-reported ability to conduct research increased significantly. Self-reported competence and confidence to conduct most components of research improved significantly (p<0.05), although, extreme/very competent or confidence level was lower than 50% for most items. Overall, median total competence score (66.0 versus 74.0, p<0.001) and median total confidence score (66.0 versus 71.5, p<0.001) increased significantly after the course. Most students were very satisfied/satisfied with the online lectures (54.8%) and online project supervision (64.6%). Lack of time (61.3%) was the major challenge students encountered during the course.
Conclusion: A ‘Research in pharmacy' course with both didactic and experiential components improved self-reported competence and confidence to plan and conduct research among pharmacy undergraduate students. Future studies should investigate the facilitators and barriers to students’ interest in pharmacy practice research.
Epilepsy knowledge, awareness, and attitudes among pharmacy students in a private university in Lebanon: A cross-sectional study
Authors: Younes Samar , Rahal Mohamad , Hammoudi Halat Dalal , Hendaus Mohamed , Safwan Jihan , Mourad Nisreen
Published: May 2022

Introduction: This study aimed to determine the knowledge, awareness, and attitudes regarding epilepsy among undergraduate pharmacy students in a Lebanese private university.   
Methods: A cross-sectional descriptive study was conducted through a web-based questionnaire that was sent to 251 pharmacy students. Data related to demographic characteristics and understanding of epilepsy were collected.   
Results: Around 58% of the students completed the questionnaire, with a mean age of 20.5 years and the majority being females (80%). Most students believed that the origin of epilepsy is neurological (93%). About 47% were aware of the types of seizures. Lectures were the most relevant source of information (64%). The majority of respondents (97%) knew that treatment of epilepsy is mainly by using medications.   
Conclusion: This study reflected a satisfactory level of awareness and knowledge of epilepsy among undergraduate pharmacy students, however, there is a need to improve certain aspects of understanding of epilepsy.
Învăţarea diferențiată și individualizată – premisă pentru formarea motivării învăţării
Authors: Chernohlazova Larysa
Published: May 2022

Teaching staff must always visualise the complexity of the pupils group. It must to keep tabs on that the pupils are different, and, respectively, to adjust the educational approach at the diversity of the students, of the group’s particularities, respecting the principles of tolerance, otherness, interculturality. Or, the differentiation and the individualization of the trainning result in pupil’s motivation, respectively, the teacher will achieve the students’ motivation when he will apply individualized teaching.
Гуманистические ценности в педагогической концепции Василия Сухомлинского: опыт и ориентиры
Authors: Хмельницкая Е.С. , Ткаченко Л.В.
Published: May 2022

In the article the ideas of humanism and innovative pedagogic of V. Sukhomlynsky, grounded him pedagogical conception which has common to all mankind character. The peculiarities of becoming a teacher-educator in the pedagogical heritage of V. Sukhomlynsky through the disclosure of the components of the pedagogical profession are explored. The article highlights the relevant competencies that a modern teacher should possess: high civic, professional and personal qualities, their balance, harmony of manifestation, confirmed by confidence in their own knowledge, attitude to children, respect for their feelings, which is a mandatory component of professionalism.
Granular Anole (Anolis granuliceps)
Authors: Tovar-Ortiz Angie
Published: May 2022

This is the species account about the Granular Anole (Anolis granuliceps), a chapter in the Reptiles of Ecuador book. This account summarizes novel as well as historical information (recognition, natural history, distribution, conservation, etymology, and relevant literature) about the species and provides maps and images to facilitate identification of this reptile in the field.
Charm Anole (Anolis gracilipes)
Authors: Tovar-Ortiz Angie , Arteaga Alejandro
Published: May 2022

This is the species account about the Charm Anole (Anolis gracilipes), a chapter in the Reptiles of Ecuador book. This account summarizes novel as well as historical information (recognition, natural history, distribution, conservation, etymology, and relevant literature) about the species and provides maps and images to facilitate identification of this reptile in the field.
Sistem Pakar Diagnosa Penyakit Pada Perokok menggunakan Metode Teorema Naive Bayes
Authors: Muntari Siti , Febriansyah Febriansyah
Published: May 2022

The purpose of this research is to produce an expert system for diagnosing disease in smokers using the Naïve Bayes Theorem method. The problem that arises in this study is the process of determining the disease in smokers through the diagnosis of experts, patients must come to the hospital and see a doctor during working hours. In the development of this expert system using the waterfall SDLC method with the stages of Analysis, Design, Coding, Testing, and testing methods carried out in this Blackbox research. To determine the type of smoker's disease, this system uses the PHP MySQL Database programming language, and Dreamweaver uses. The results of this study are in the form of a website-based expert system that is able to help users or the public in diagnosing passive smoking and providing formations about smoking diseases. The results of the Blackbox Testing test have an average score of 4.2 with a valid category
Movie Recommendation System Using Knowledge-Based Filtering and K-Means Clustering
Authors: Wibowo Kurnia Drajat , Baizal Z K A
Published: May 2022

The movie recommender system has an important role in providing movie recommendations for users, but new users have difficulty choosing movies that are given by the recommender system because of the cold start problem. This study aims to overcome the cold start problem using a knowledge-based recommender system, i.e association rule mining using an apriori algorithm. The apriori algorithm aims to extract correlations between product itemsets, but the problem in the apriori algorithm is the large number of association rules that make the complex computation. To overcome this problem, we combine the apriori algorithm and k-means to produce more accurate recommendations, because the items are grouped before the recommendation process using the k-means algorithm. In this study, we use a dataset of movies and ratings from the Kaggle website. This study uses a minimum value of 0.5 confidence, and a minimum value of 4 lifts. To produce the best itemset in the form of antecedents and consequents of the Beauty and the Beast item with The Passion of Joan of Arc which has a value of 0.107981 support, 0.779661 confidence, 4.151695 lift
Pemilihan Peserta Olimpiade Matematika Menggunakan Metode MOORA dan MOOSRA
Authors: Haeruddin Haeruddin
Published: May 2022

Mathematics olympiad is one of the prestigious events in education where the winners of the competition are talented and selected people with above average intelligence, the olympiad winners also affect the good name of the educational institution where the contestants get education. This makes it important in selecting participants who will be sent to take part in the competitions that have been held in order to minimize the possibility of things that are not wanted to happen. Selection was made using the help of a decision support system to help make it easier to select and select candidates subjectively and accurately, in this study we will look at the work of the Moora and Moosra methods in helping the selection of participants in the mathematics olympiad
Classification of Glaucoma Using Invariant Moment Methods on K-Nearest Neighbor and Random Forest Models
Authors: Arsyan Athalla Rizky , Al Maki Wikky Fawwaz
Published: May 2022

One of the cardiovascular diseases that can interfere with eye vision is glaucoma. This disease is caused by high pressure on the inside of the eyeball to cause blindness slowly. In general, screening or early diagnosis can help prevent glaucoma, specifically by analyzing several eye components affected by pressure, including the optical disc, optical cup, and blood vessels.  Thus, by blending machine learning algorithms and computer vision technology, glaucoma classification and identification can be accelerated and improved. This study applied the Invariant Moment method to extract the optical cup and blood vessel segmentation's shape, scale, and rotation features. To obtain segmentation results for these two objects, we threshold two image datasets, DrishtiGS-1 and REFUGE, and implemented the approach described in this study to analyze system performance on these datasets. For the classification method used in this study, we proposed KNN and RF models to evaluate the suitability of the methods we used on the REFUGE and DrishtiGS-1 datasets and demonstrated that both models could be used to identify glaucoma through the use of fundus images. When the datasets were merged, we obtained 81.86% and 75.86% of accuracy when using blood vessel and optical cup segmentation results, respectively
Penerapan Algoritma K-Medoids Untuk Pengelompokan Data Penerima Bantuan Uang Kuliah Tunggal Bagi Mahasiswa Terdampak Covid-19
Authors: Andrea Reza , Nursobah Nursobah
Published: May 2022

The ongoing Covid-19 pandemic period greatly affects various aspects of life, one of which is the issue of the economy. This problem has an impact on the field of education, one of which is at the university level. where many students whose parents/insurers of tuition fees are experiencing financial constraints due to the impact of the Covid-19 pandemic. So we need an effective way as a recommendation in analyzing student data based on the socioeconomic status of each student's parents in determining the group of UKT recipients. There are many ways that can be used, one of which is by utilizing data mining to group data for students who are entitled to get UKT using the K-Medoids method. The application of the K-Medoids method is used to group data on students who are eligible to receive UKT assistance funds with the aim of being a recommendation in analyzing student data based on the socioeconomic status of each student's parents in determining the UKT recipient group for the university. Whatever the results of the application of the K-medoids method, a group that deserves to be recommended is based on the results of Cluster / Grouping 0 with a total student data of 8 people based on the results of consideration of the criteria used, namely Parents' Occupation, Home Ownership Status and Parents' Income
Analisis Kepuasan Pengguna Pada Website Pemda Kabupaten Dompu
Authors: Rahman Fazlul , Setyanto Arief , Henderi Henderi
Published: May 2022

Dompu local government provides a website that provides information. Each interaction with the user gives rise to a variety of perceptions. One of them is the negative perception of the dompu community as a user of the website as well as the dompu local government as its supply organization. To reduce the problem of negative perceptions related to user experience in the process of using it, an evaluation of user experience is also done as well as an improved interface design. This research was conducted to determine the problems experienced by users by gathering various perceptions of the local government website. The test was carried out using a tool in the form of a User Experience Questionnaire (UEQ). The reason for using the UEQ method is because it is a quick and easy questionnaire to measure the user experience of a website. The results of evaluating user experience using UEQ, The results of evaluating user experience using UEQ show that aspects of perspicuity, efficiency, stimulation, novelty attractiveness and dependability: bad
Decision Support System Using Simple Multi-Attribute Rating Technique Method in Determining Eligibility of Assistance
Authors: Ikhwan Ali , Aslami Nuri
Published: May 2022

Determining the viability of establishing business support for small and medium companies (UKM) is one of the activities that must be assessed carefully and selectively based on the existing evaluation at the Medan City Cooperatives and UKM Office. It is hoped that as a result of this, adequate outcomes for business development help for small and medium companies (UKM) to get assistance funding in business development can be obtained. The solution to the aforementioned issues is to construct a decision support system to aid in determining the feasibility of UKM development assistance. Smart (Simple Multi-Attribute Rating Technique) was chosen to facilitate the aforementioned problem solution by assigning weight to each choice. This decision support system demonstrates how improvements in science and technology may help the Medan City Cooperatives and UKM Office determine the feasibility of village development assistance for the right choice of SMEs based on the proper factors and calculations
Penerapan Metode Prototipe Dalam Pembangunan Website Promosi Dusun Gedong Menggunakan CMS Wordpress
Authors: Suharyadi Suharyadi , Maria Evi , Purwanto Purwanto
Published: May 2022

Abstract–Gedong Hamlet is one of the hamlets in the Tajuk village area, Getasan District, Semarang Regency, Central Java Province. This hamlet is located on the slopes of Mount Merbabu at an altitude of 1,700 meters above sea level. Road access to this village is quite difficult and can only be passed by one four-wheeled vehicle. This hamlet has tourism potential of amazing natural beauty and abundant produce through vegetables. However, the difficulty of access to this hamlet makes the potential of the hamlet less well known by the public. This study aims to promote the potential of Gedong hamlet so that it is known and the wider community can get to know Gedong hamlet. So with the recognition of this hamlet, it is hoped that many visitors will come to enjoy the natural potential of Gedong hamlet and the potential of agricultural products, so that it can further improve the economy of the people of Gedong hamlet. The solution used to overcome this problem is to build a website that contains a profile of Gedong hamlet, natural potentials, and market tourism packages in Gedong hamlet. Website development using CMS Wordpress which is an open source application and is supported by many plugins, and this CMS has been widely used by other large websites. The result is that orders can be immediately responded to by the manager, making it easier for both managers and prospective tourists to transact
Rancang Bangun Sistem Aplikasi Rehabilitasi (SIREHAB) dalam Pengelolaan dan Pengendalian Pecandu Narkotika dengan Menerapkan Metode Agile Software Development di Wilayah POLDA Jambi
Authors: Aminuddin Fattachul Huda , Puad Lailyn , Elzas Elzas
Published: May 2022

Drug abuse is currently a very serious threat to the current generation. The current danger of drugs is so terrible that the government has to deal with drug abuse and drug addicts by means of rehabilitation. The National Police of the Republic of Indonesia, in particular the Directorate of Drugs and the Jambi Regional Police, based on the provisions of the applicable laws and regulations, regarding rehabilitation and narcotics addicts have an obligation to carry out a rehabilitation program. However, nationally, especially in Jambi Province, there is currently no reporting system on the management and control of narcotics addicts data online while based on 2021 data, the data on narcotics addicts is quite high, so it requires a system for monitoring the rehabilitation data for narcotics addicts to make it easier to monitor. its existence. In order to overcome the existing problems, the author wants to help and make it easier by designing and building an information system for the rehabilitation of narcotics addicts in the Jambi Regional Police area using the agile software development method. The purpose of building a system using this method is to assist and facilitate the management and control of narcotics addicts in the Jambi Regional Police by involving maximum involvement of stakeholders and related parties, especially the Narcotics Directorate and Jambi Regional Police so that the use of applications is more adaptive and can be developed more widely. more in responding to the challenges and changes that exist. The result of this research is that the system development is carried out using the agile software development method using six stages, namely meetings (meeting), planning (plan), design (develop), testing (test), and evaluation (evaluation). Based on the results of system testing carried out using black box testing, the system was as expected
Analisis Kelayakan Penerima Bantuan Covid-19 Menggunakan Metode K–Means
Authors: Nursia Akris Nursia , Ramdhan William , Kifti Wan Mariatul
Published: May 2022

The government provides several types of assistance during the covid-19 pandemic that is distributed through the agencies of each village throughout Indonesia, one of which is Punggulan Village air joman subdistrict. The types of assistance that have been distributed to citizens are Cash Social Assistance (BST), Social Safety Net Assistance (JPS), Non-Cash Sembako Assistance, and Cash Direct Assistance (BLT). So far the assistance provided by Punggulan Village is still done manually, so it is possible to occur errors in the collection and distribution of assistance. To solve the problem, the author applies one of the data mining algorithms, the K-Means algorithm, to determine the recipient of covid-19 assistance that is done by collecting population data by the specified attributes. Then the data is weighted to facilitate the calculation of K-Means, after that build a system to implement the K-Means algorithm and perform testing. Population data used is 50 data recipients of aid 2021 as a sample using 3 attributes, namely, income, dependents, and other beneficiaries. The result of this system is prospective recipients of Covid-19 assistance with 2 feasible clusters (C1) and unfit (C2)
Implementasi Algoritma K-Modes Untuk Mengukur Tingkat Kepuasan Mahasiswa Terhadap Pembelajaran Daring
Authors: Desyanti Desyanti , Yusrizal Yusrizal , Sari Febrina
Published: May 2022

The outbreak of the corona virus outbreak has made the economic system, education system and other systems very chaotic. That is why Dumai College of Technology has participated in implementing online learning from March 2020 to June 2021 in accordance with government regulations. Brave learning is an alternative in overcoming the lecture system, so students no longer come to campus and only attend lectures from home. Although learning activities are carried out boldly, lectures must still pay attention to the quality and quality of learning, that's why we need a method to analyze the level of student satisfaction in the bold learning process, which can later be used as evaluation material by the campus. The use of the k-modes clustering algorithm is to group the satisfaction results into several clusters including very satisfied, satisfied, dissatisfied and very dissatisfied and the data processed is data in the form of categorical data or data in the form of classification by performing matching equations between training data and centroids for looking for the closest distance and the value of the objective equation, the sample used was 100 respondents who filled out the satisfaction assessment questionnaire, from the results of the questionnaire data processing the cluster was very satisfied with a percentage of 22%, the cluster was satisfied 69%, the cluster was not satisfied 5% and the last in the very dissatisfied cluster as much as 4%
Penerapan Metode Service Quality dalam Melihat Pengaruh Kinerja Pegawai terhadap Kualitas Pelayanan Publik
Authors: Effendi Habiburrahman , Dalimunthe Ruri Ashari , Saputra Endra
Published: May 2022

Public service is a process of bureaucratic performance, the link with bureaucratic culture is very strong, meaning that any activities carried out by public service officers must be guided by the normative rules that have been determined by public organizations as a manifestation of the behavior of public organizations. In this regard, the problem that exists is that the service of public officials at the Pulau Rakyat Sub-district Office, Asahan Regency, shows that there are still deviations in attitudes and behavior as well as the actions of the apparatus as public servants. In everyday reality, it shows that the management services are complicated, require a large amount of money, are less informative or less transparent and discriminatory. In fact, people's expectations for improving the implementation of public services are actually getting further away from the reality. The quality of service is indicated by the absence of professional services, which is the success of the government in managing quality services. The quality of service by the employees of the Pulau Rakyat Sub-district Office of Asahan Regency who are selfish, considerate and serious to carry out their duties and obligations, as well as low knowledge and skills in carrying out their duties
Expert System Diagnosa Gangguan Autisme Secara Dini Pada Anak dengan Metode Forward Chaining
Authors: Fuad Evans , Aminullah Rabiah , Soni Soni , Rizki Yoze
Published: May 2022

Autism is a developmental and behavioral disorder of children where social relationships are disrupted, namely children with autism cannot interact with other people, including their parents. Autistic children experience disorders such as communication disorders, social relationship disorders, and behavioral disorders, resulting in a child. Parents often do not realize the differences and abnormalities that appear in their children until they are three years old. They just realized that their child is different from other children. There are several basics of treating autism and there are some teachers who can help cure autism in children. The teacher treats autistic children with an approach that is adapted to the problem. Types of autism basically this child is divided into four categories, including social interaction disorders, behavioral generalized disorders, communication disorders, and self-stimulation disorders. This research designs and builds an expert system (expert system) for diagnosing Autism disorders in early childhood based on the web Method of Forward Chaining. This Forward Chaining is very good to use if the work starts with recording the initial information and wants to reach the completion or final goal. This expert system is considered capable of providing information and solutions for parents, about the types of autism disorders in early childhood, based on the symptoms entered and can provide solutions
Sistem Pengendali Energi Listrik Menggunakan Raspberry Pi Pada Smart Building Kampus
Authors: Masnur Masnur , Marlina Marlina
Published: May 2022

Electrical energy is a very important need that must be met for human needs, but the source of the power plant sometimes uses non-renewable natural resources. Savings in the use of electricity has an impact on the preservation of nature and the cost of electricity used. The problem is the waste of electricity use and the negligence of its users, such as not turning off electrical equipment or forgetting to leave the room. So "Electrical Energy Control System Using Raspberry Pi in Smart Building at Muhammadiyah University of Parepare was made". The method used is to make a prototype that is capable and can be controlled remotely using the internet, this system can be controlled either using a PC or using a mobile phone. The system uses the IP Address contained in the raspberry pi, by accessing the IP address the user can control the system so that the user does not need to be too anxious when leaving the room, because the user can monitor the temperature and see pictures of the room when left. By using this system, users can control electrical equipment, can monitor room temperature when left to leave, can ON/OFF the lights and air conditioning in the room, monitor the movement of human objects which are then synchronized with the ON/OFF lights. The system is also capable of recording the room which is then saved in jpg format
Penerapan Customer Relationship Management (CRM) Dalam Sistem Informasi Penjualan Kosmetik Berbasis Web
Authors: Anggara Nadia Ayu Agustri , Hutahaean Jeperson , Iqbal Muhammad
Published: May 2022

CRM is a marketing strategy to create and maintain a good relationship with customer and decrease the possibility customer move away to other competitors. This research present the analysis of web-based CRM development in Marketing Information System at Toko ZU MS GLOW SUMUT STOCKIST. The result is an CRM web-based system which can manage customer data, product promotion, product sales data and managing of customer service that used to save customer question and complain to create good relationship with customer. This application, Toko ZU MS GLOW SUMUT STOCKIST is expected to mantain good relationship with customer or get new customer, which eventually bring benefits to the company. With this method, results can be obtained in the form of the realization of a Customer Relationship Management Application to simplify, accelerate and optimize the quality of customer service
Implementasi Bee Colony Optimization Pada Pemilihan Centroid (Klaster Pusat) Dalam Algoritma K-Means
Authors: Arfiani Ika , Yuliansyah Herman , Suratin Muhammad Dzikrullah
Published: May 2022

Clustering is a method that is used to divide the data into several groups of parts. K-means (KM) is an algorithm that is often used in clustering, only just the result of KM often times get stuck in local optima i.e. the optimal solution (both maximum or minimal) on the candidate solution in the nearest neighbor only, not the whole of all existing solutions or what is commonly called the global optima. In this study aims to do improve the cluster determination process on the Kmeans algorithm using the Bee Colony Optimization (BCO) algorithm. BCO is an algorithm that works based on the way the bees search for food , BCO is famous for being able to escape from the local optima trap by recognizing which results are best from a series of optimal results . Combining BCO with KM begins with selecting a source of food early in random and using KM to resolve all the problems of clustering at every step BCO next and keep sources of food best in each iteration. The result of this research is that the BCOKM method has been proven to be able to solve the problem of data sharing, where the BCOKM method is able to form a good cluster, as shown by the resulting fitness value (the lowest value is 1221.53 and the highest value is 1233.28) all of which are better than the fitness value using K-means (1251.42). Likewise in terms of accuracy, where the use of BCOKM all showed better results (83.16%-83.30%) than the use of only K-means (83.09%)
Pemanfaatan Algoritma Fletcher-Reeves untuk Penentuan Model Prediksi Harga Nilai Ekspor Menurut Golongan SITC
Authors: Ginantra Ni Luh Wiwik Sri Rahayu , GS Achmad Daengs , Andini Silfia , Wanto Anjar
Published: May 2022

Conjugate gradient Fletcher-Reeves algorithm, according to some literature, is an optimization method that is suitable when juxtaposed with the backpropagation method because this method can speed up the training time to achieve a minimum convergence value. Therefore, this study aims to prove whether the algorithm has good performance and can provide efficient convergence results when used to solve prediction problems in the case of export values ​​according to the Standard International Trade Classification (SITC) class. The results of this study are a predictive model that can be used and developed to make predictions in seeing the development of the export value of the SITC class based on the US Dollar currency. The research data was taken from the website of the Central Statistics Agency for 2010-2020. Prediction models that will be analyzed using the Fletcher-Reeves algorithm include 5-20-1, 5-25-1, and 5-30-1, with the activation functions of tansig and logsig. Based on the analysis carried out through excel calculations from the training and testing process using the Matlab-2011b application, the results obtained that the 5-25-1 network model is the best model with a performance value or Mean Square Error 0.00287273 compared to the other four models. So it can be concluded that the Fletcher-Reeves algorithm is proven to produce faster convergence; it can be seen from the epoch generated from each model that it is not too large and the time required is relatively short
Pengaruh Citra Perusahaan dan Promosi terhadap Minat Menggunakan Hasanah Card Pada BSI KC Medan
Authors: Hasibuan Heny Liya , Siregar Saparuddin , Sugianto Sugianto
Published: May 2022

The Hasanah Card is a new breakthrough in the sharia-based credit financing system with an interest-free scheme. There are various factors that influence people's interest in using hasanah cards, including corporate image and promotion. Referring to these two factors, this research was conducted with the aim of knowing how the influence of corporate image and promotion on public interest using hasanah cards. The method used in this research is quantitative research, with the number of respondents as many as 40 people and the data analysis techniques used are classical assumption test, multiple linear regression test, F test, T test and R square test. The results showed that the company's image and promotion had a positive and significant influence on people's interest in using hasanah cards at BSI KC Medan
Analisis Niat Wisatawan untuk Berkunjung ke Kawasan Kuta Mandalika Lombok
Authors: Tantra Tarandhika
Published: May 2022

Tourism is the sector that has the most potential to contribute greatly to GDP. The competitiveness of Indonesia's tourism sector is lower than the kawasa countries of Southeast Asia. The Government of Indonesia developed the National Priority Tourism Area with the 10 New Bali program in an effort to be competitive and superior. Kuta Mandalika Lombok Area of West Nusa Tenggara is one of the 10 priority areas. This research was conducted to find out the factors that make tourists to visit the Kuta Mandalika Lombok area including destination image, motivation, Word of Mouth and knowledge. Knowledge is believed to moderate the image of the destination. The survey was conducted to 310 respondents who had visited the Kuta Mandalika Lombok Area and conducted an analysis using the SmartPLS application. The findings of this study show that the image of destination, motivation, and Word of Mouth has a positive influence on the intention of visiting kuta mandalika lombok area.  Knowledge is proven to have no moderating effect on the relationship of destination imagery and visiting intentions. The local government should develop the image of Kuta Mandalika Lombok area as a world-class priority tourist area in order to attract tourists to visit
Upaya Meningkatkan Kinerja Mitra Binaan UKM PTPN III Nusantara Melalui Social Network dan Perceived Customer Benefit Melalui Program Kemitraan
Authors: Junaidi Junaidi , Lubis Zulkarnain , Effendi Ihsan
Published: May 2022

This study aims to determine the role of partnerships in mediating social networks and perceived value on the performance of SMEs fostered by PTPN III Nusantara. The population in this study were 785 SMEs assisted by PTPN III Nusantara which were considered successful in developing their business. The sampling technique used was accidental sampling. So that only 125 respondents were chosen by the researchers to be used as research samples. Collecting data using a questionnaire and data analysis using path analysis. The results showed that the role of this partnership was able to mediate social networks and perceived value on the performance of SMEs fostered by PTPN III Nusantara. This means that the role of partnership is indirectly able to improve the performance of the assisted SMEs at PTPN III Nusantara