bluuebunny/crossref_metadata_2025 huggingface dataset:
El impacto de las pensiones alimenticias en la privación de libertad: análisis de la vulneración de los derechos humanos y la dignidad en el centro de rehabilitación de Turi
Authors: Sotomayor Crespo Karina Paola , Pozo Cabrera Enrique Eugenio
Published: March 2024

El Centro de Rehabilitación de Turi en Ecuador enfrenta desafíos significativos relacionados con la violación de los derechos humanos y la dignidad de las personas privadas de libertad, especialmente aquellas encarceladas por cuestiones relacionadas con pensiones alimenticias. Este artículo aborda esta problemática, examinando el contexto jurídico y las condiciones de vida en el centro, así como las implicaciones para el bienestar físico y psicológico de los detenidos. El objetivo de este artículo es investigar y analizar las condiciones de las personas privadas de libertad por incumplimiento de pensiones alimenticias en el Centro de Rehabilitación de Turi, Ecuador, y evaluar el impacto de estas situaciones en sus derechos humanos y dignidad. Además, se busca identificar las principales causas de estas problemáticas y proponer recomendaciones para mejorar el tratamiento y la protección de los derechos humanos en el centro. Se utilizó una metodología integral que combinó entrevistas semiestructuradas, análisis documental y estadístico. Las entrevistas se realizaron a personas privadas de libertad en el centro, mientras que el análisis documental se centró en la legislación pertinente y las regulaciones carcelarias. Los datos estadísticos se recopilaron sobre casos de pensiones alimenticias y violaciones de derechos en el centro. Los resultados revelan condiciones precarias de vida en el Centro de Rehabilitación de Turi, con hacinamiento extremo, falta de servicios básicos y violaciones frecuentes de los derechos humanos. Se encontró una alta incidencia de detenidos encarcelados por deudas de pensiones alimenticias, lo que plantea interrogantes sobre la eficacia de esta medida. Además, se identificó una correlación significativa entre el hacinamiento y la incidencia de violaciones de derechos. Este artículo destaca la necesidad urgente de reformas estructurales en el sistema penitenciario ecuatoriano para garantizar el respeto de los derechos humanos y la dignidad de todas las personas privadas de libertad. Se proponen recomendaciones para mejorar la supervisión y aplicación de la legislación, abordar las causas subyacentes de la delincuencia relacionada con las pensiones alimenticias y reducir la sobrepoblación en el centro. Estas medidas son fundamentales para promover un sistema de justicia penal más justo, equitativo y humano en Ecuador.
Improvement polyprofessional education at the technical university
Authors: Medvedev I. F. , Mikryukova O. V. , Poroshina I. V.
Published: March 2024

The article discusses the process of student’s polyprofessionalism in technical universities. The analysis of scientiﬁc and pedagogical research of this problem and educational practice revealed various approaches to the training of specialists of a wide proﬁ le. Mass multiprofessional education is carried out through organizational structures for managing network interaction, convergence and integration of educational institutions.

Individualization of polyprofessional training is associated with the ability to independently master new areas of scientiﬁc and technical knowledge. Didactic prerequisites for the formation of polyprofessionalism in the course of self-educational activity consist in the gradual expansion of the educational array, horizontal and vertical polyprofessional ties, Proﬁling of educational and cognitive activity of students and professional mobility of university graduates. The stages of acquiring multiqualiﬁcations include modernization changes and updating the system of previously acquired knowledge, accumulation of factual material and search for system-forming connections, integration of related objects and types of professional activity, expansive going beyond the limits of the studied specialty into the ﬁeld of the chosen profession, familiarization with professional values and a multiplicity of communications for solving technical problems by methods and means of diﬀerent professions. The implementation of polyprofessional ties is possible both within the boundaries of one level and at diﬀerent skill levels in ascending and descending directions. Proﬁling of educational and cognitive activity of students includes the introduction of examples of solving really scientiﬁc and technical problems of varying complexity into the educational documentation, and professional mobility is directly related to the formation of educational mobility, meaning the ability to independently choose an educational trajectory.

When improving polyprofessional education at a technical university in any form and at every stage, it is necessary to rely on and develop its value, orientation, content and methodological components.
Inhibiting Factors in the Application of Risk Management at Hospital X Jakarta
Authors: Hernawati Lestari , Hariyati Rr. Tutik Sri , Pujasari Hening , Rahman La Ode Abdul , Mutiasari Hana , Harpendewisasmita Harpendewisasmita
Published: March 2024

Background: The risk management program will run well with commitment and good management. This study aims to describe the experience of nurse managers in implementing risk management in hospitals. Research methodology: this study used a descriptive qualitative approach. The data collection technique used Focus Group Interviews with 12 nurse managers consisting of 1 Sub Installation Head, 7 Unit Heads, and 4 Team Leaders. Interviews were carried out three times, and each implementation consisted of four participants. Analysis using thematic content and consolidation for reporting qualitative research (COREQ) was used as a guide to research reporting. The research found three inhibiting factors in implementing risk management: 1) Busyness, 2) Lack of knowledge, and 3) Lack of structured monitoring and evaluation. Conclusion: The active participation of nurse managers in implementing risk management is very influential in the successful implementation of risk management in hospitals. Good time management, increasing the level of knowledge, and supported by a systematic risk management monitoring-evaluation system means that risk management will be carried out well
The existence of liquidity, profitability, and leverage in accounting conservatism
Authors: Kurniawan Cathrien Florencia , Mulyani Mulyani
Published: March 2024

This study examines the impact of liquidity, profitability, and leverage on accounting conservatism in trading, service, and investment companies listed on the IDX from 2017 to 2019. Financial statements are crucial in depicting an entity's financial performance and aiding decision-making. Accounting conservatism, a principle aimed at mitigating optimistic management behavior, involves recognizing expenses promptly while delaying revenue and asset recognition. Based on a sample of 265 companies, the research utilizes descriptive statistical analysis, pooling tests, and multiple linear regression analysis. The findings indicate that the data is suitable for the study. Hypothesis testing reveals a positive effect of profitability on accounting conservatism, rejecting the first hypothesis. In contrast, the second and third hypotheses are accepted, relating to the negative impact of leverage on accounting conservatism and the inconclusive effect of liquidity. This study contributes to understanding the dynamics of accounting conservatism in the context of diverse company types and market conditions.
Optimalisasi Penerapan Metode TOPSIS dalam Penentuan Dosen Berprestasi
Authors: Purba Rohan Kristini , Sitorus Jepri Saprianto , Syahrizal Muhammad
Published: March 2024

The role of lecturers, especially for students, really determines the quality of the students themselves. Therefore, to create a quality future generation, qualified lecturers are also needed. However, currently there are many lecturers who only work as lecturers, but do not meet the criteria for a good lecturer. Giving awards to lecturers who excel is one of the efforts that can be done in order to create work motivation and increase the desire of every lecturer to become a lecturer who has good qualifications. However, the problem is to determine the best lecturers in a university, it will be very difficult if done manually. To make it easier for leaders to assess lecturers who deserve to be called achievers or not, a decision support system (SPK) is needed, where this SPK acts as a support for the leadership's reasons why the leader chooses someone as an outstanding lecturer. Decision Support System (DSS) is a system whose work uses a computer, where this system uses various methods which ultimately produce information in the form of a decision. the method used in this study is the TOPSIS method. The TOPSIS method is one of the DSS methods whose purpose is to produce an alternative with the highest value as an alternative recommendation. The results obtained in this study amounted to 0.5308 on behalf of Mesran as an alternative recommendation.
Analisis Penerapan Data Mining Terhadap Kasus Positif Covid-19 Menggunakan Metode K-Means Clustering
Authors: Azhari Ridhan , Hartama Dedy , Lubis Muhammad Ridwan , Nasution Della Fatricia , Windarto Agus Perdana
Published: March 2024

This study has problems such as the absence of the use of the K-means clustering algorithm for data on positive COVID-19 cases in the Indonesian province. The purpose of this study is to apply the K-means clustering method in finding the closest distance to produce the lowest and highest clusters of data on positive COVID-19 cases in the Indonesian province. K-means is one of the algorithms in the non-hierarchical Clustering technique that tries to partition the existing data in the form of one or more clusters. The results obtained from the k-means clustering method produced 2 clusters, namely the lowest cluster C1 = 30 items while the highest cluster C2 = 4 items. This research can be used as a reference and can be further developed with other clustering methods or algorithms such as k-medoid in order to get a comparison of results and steps to use algorithms related to clustering.
Penerapan Keran Wudu Otomatis pada Optimasi Penggunaan Air dengan Sensor Ultrasonic Berbasis Arduino dengan Sistem Back Up Daya Otomatis
Authors: Fajar Nurhikmah , Putra Nur Azhary Iriawan Eka , Isminarti Isminarti , Abas Mohamad Ilyas
Published: March 2024

A resource is a potential value possessed by a particular material or element in life. Water is a resource that is a basic human need for survival, both for living needs and spiritual needs, even up to the era of modern technology. The level of human well-being is measured by the fulfillment of social, economic, and spiritual needs, including the need for automated technology to make work easier and more efficient. The need for automatic equipment in every field is increasing due to considerations of its practical and efficient nature, including spiritual needs. Spiritual activities that can apply automatic technology include the ablution process. The ablution is a mandatory routine activity. Water users in the process of taking wudu water are not optimal because when they want to perform wudu the tap lever is immediately turned, while they still need time to prepare themselves, for example by removing the hijab or rolling up the sleeves of their clothes. The water will flow continuously until the ablution process is complete and the tap lever is turned to close the water flow. So, in this case, a lot of water is wasted. Applying automatic technology to the wudu faucet requires a continuous supply of electricity so that it always remains operational by providing a backup power supply that charges automatically so that the wudu process can be carried out at any time. The use of Arduino and the PING HC-SR04 ultrasonic sensor as an object distance detector can make the tap automatic and therefore practical. The working principle of this automatic faucet is that the solenoid will activate when the sensor detects an object under the faucet at a distance of 5 to 40 cm. The maximum detection angle is 10°. The average efficiency of automatic faucets compared to manual faucets is ±30.09%.
Sistem Pemilah Otomatis Tingkat Kematangan Buah Kelapa Sawit Menggunakan Metode Logika Fuzzy Mamdani Dan Sensor TCS3200
Authors: Salsabilla Salma , Nirmala Irma , Rismawan Tedy
Published: March 2024

The palm oil sector has a strategic impact on the growth of Indonesia's economy, because the fruit of palm oil produces oil which can be used as alternative fuel, food oil and basic materials for various industries. Currently, oil palm fruit is sorted manually based on color, which takes much longer. As a result, a system was created to categorize oil palm fruit according to their state of maturity. This system uses the TCS3200 sensor as the main sensor to detect the color of oil palm fruit and implements the Mamdani fuzzy logic method to classify it. Arduino Uno can control the hardware components used in the system. Data obtained from RGB color values ​​(red, green, blue) obtained by the TCS3200 sensor is used as input in the system. Meanwhile, the outcomes this system produced are in the form of maturity levels of oil palm fruit which are classified into 3 categories, namely unripe, ripe and past ripe. Based on tests carried out with the confusion matrix, the accuracy value obtained was 95.6%.
Penerapan Metode Clustering Dengan K-Means Untuk Memetakan Potensi Tanaman Padi di Sumatera
Authors: Sanela Irma , Nazir Alwis , Syafria Fadhilah , Haerani Elin , Oktavia Lola
Published: March 2024

Rice plants are the primary source of rice, the staple food for the majority of the Indonesian population. Despite the presence of other food alternatives, rice remains irreplaceable for those accustomed to consuming rice. According to data from the Food and Agriculture Organization of the United Nations (FAO) in 2018, Indonesia is the third-largest rice producer in the world, with a total production of 59.2 million tons. However, urban and agricultural spatial planning is not yet fully integrated, resulting in often conflicting decisions in land use planning for agriculture and urban development. To meet the rice demand in Sumatra, efforts are needed to increase rice production in each province. Therefore, this research aims to map the potential for rice cultivation in Sumatra based on production and harvest results from 1993 to 2020. The method used in this study is K-Means, which allows the grouping of rice potential areas into three categories: high, medium, and low. The research results produced three clusters, evaluated using the Davies Bouldin Index (DBI) with a value of 0.3943. The clustering results indicate that Cluster 0 contains 92 areas with a high success rate, Cluster 2 comprises 84 areas with a medium success rate, and Cluster 1 consists of 48 areas with a low success rate. The category of low success rate is found in Cluster 1 with 48 areas. Cluster 0 includes Aceh, North Sumatra, West Sumatra, South Sumatra, and Lampung within certain time periods. Cluster 1 encompasses other areas with different characteristics. Cluster 2 includes the provinces of Riau, Jambi, and Bengkulu.
Student Ranking Based on Learning Assessment Using the Simplified PIPRECIA Method and CoCoSo Method
Authors: Hadad Sitna Hajar , Darwis Dedi , Qurania Arie , Aldino Ahmad Ari , R Mehta Abhishek , Rahmanto Yuri , Setiawansyah Setiawansyah
Published: March 2024

The problems that occur in determining the best students based on the learning process of the assessment process are still based on the academic scores of students and have not considered the learning process carried out by students. This study aims to apply the Combined Compromise Solution (CoCoSo) method in ranking students based on learning assessment using criteria of academic progress, problem-solving ability, mastery of skills, independence, motivation and positive attitude, adaptability, and for weighting the criteria used to apply the Simplified PIPRECIA (Pivot Pairwise Relative Criteria Importance Assessment) weighting method. The Simplified PIPRECIA method is particularly useful in situations where there are diverse criteria to be considered and complex decisions must be made taking into account the preferences and interests of various stakeholders. The Combined Compromise Solution Method is useful when there are conflicts in various criteria that need to be considered in the decision-making process. With this approach, each criterion is weighted and carefully calculated, so that the resulting decisions reflect comprehensive considerations that can meet various requirements and constraints. Based on the results of student rankings based on assessments in learning in the table above, rank 1 was obtained by students with Student ID 1211313 with a final grade of 6.487, rank 2 was obtained by students with Student ID 1211316 with a final grade of 6.402, and rank 3 was obtained by students with Student ID 1211314 with a final grade of 5.814.
Penerapan Metode Additive Ratio Assessment (ARAS) dan Ranking of Centroid (ROC) dalam Pemilihan Layanan Akomodasi dan Local Cuisine
Authors: Singgalen Yerik Afrianto
Published: March 2024

Salatiga is a gastronomic city with various types of traditional food and drinks and is a recreational tourism city with exciting and crowded mountain natural scenery. The availability of accommodation services and local cuisine adds to visitors' preferences to enjoy local culinary dishes. This study offers an initiative to use the Additive Ratio Assessment (ARAS) method in selecting the best accommodation and restaurant services in Salatiga based on Tripadvisor data. The stages in the calculation process based on the ARAS method are as follows: the stage of determining the value of criteria, weights, alternatives, and optimal values; the stage of converting the value of the criterion into a decision matrix; the stage of normalization of the decision matrix for all criteria; stage of calculating the value of utility; Ranking stage. The calculation results show that in the context of accommodation services, A5 occupies the first position with a Ki value of 0.887, A4 occupies the second position with a Ki value of 0.870, and A1 occupies the third position with a Ki value of 0.849. Meanwhile, in the context of local cuisine, A2 occupies the first position with a Ki value of 0.951, A5 occupies the second position with a Ki value of 0.914, and A4 occupies the third position with a Ki value of 0.854. This shows that ARAS and ROC methods can produce the best recommendations for tourists who want to use accommodation services and enjoy local cuisine in Salatiga City.
Sistem Pendukung Keputusan Menentukan Lokasi Pembangunan Jaringan Internet Menggunakan Metode Profile Matching
Authors: Agustina Safira , Rohayani Hetty , Marthiawati H Noneng , Azzamy Muhammad Nabil
Published: March 2024

Decision Support Systems are interactive information systems that provide information, modeling, and data manipulation. This system is used to assist decision-making in semi-structured s and unstructured situations, where no one knows for sure how the decision should be made. The problem in this study is, determining the location of Internet network installation by BeeBeeNet, carried out based on the company's decision to determine a new location to build an Internet network in a new area, namely by surveying the area, as well as looking at the population density in an area and the current interest of the community. The purpose of making a Decision Support System for determining the location of building an internet network is to determine the right location. The method used in this research is the Profile Matching method, which is a Decision Support system in the location criteria determined by PT Batanghari Vision so that the difference in competence (GAP) can be known. The results obtained are the results of ranking using the profile matching method, using several candidates to get results in determining the new location for building an internet network, from the calculations carried out the highest value is 2.9555, this value is the highest value of the existing location criteria.  the results obtained can be the right result for the company to choose the location of the internet network construction in the new location.
Decision Support System for Selection of Internet Services Providers using the ROC and WASPAS Approach
Authors: Soares Teotino Gomes , Sinlae Alfry Aristo Jansen , Herdiansah Arief , Arisantoso Arisantoso
Published: March 2024

Along with the growth of the internet service provider industry, selecting an Internet Service Provider (ISP) has become an important decision to ensure optimal internet access. However, with so many ISP options available, consumers often face difficulties in choosing the service that best suits their needs. The aim of this research is to produce a decision support system that can help users choose the ISP that best suits their needs and preferences using the ROC (Rank Order Centroid) approach as a weighting technique and the WASPAS (Weighted Aggregated Sum Product Assessment) approach to determine the best alternative. The ROC approach is used to obtain criteria weights based on the ranking order of the importance of the criteria. On the other hand, the WASPAS method is used to determine the best alternative through weighted addition and multiplication, producing a final value that reflects the extent to which each alternative meets the specified criteria. The outcomes of the case study reveal a ranking of alternatives from highest to lowest scores, as follows: First Media (A2) achieving 0.8629, Indihome (A3) at 0.8416, MyRepublic (A5) with 0.7954, Biznet (A1) scoring 0.7844, and Oxygen (A4) at 0.7469. The usability testing yields an average score of 89%, suggesting that the system is apt for utilization, as it aligns with the functionalities users are seeking.
Sistem Pendukung Keputusan Penentuan Lokasi Pabrik Baru Menggunakan Metode ROC dan MAUT
Authors: Naufal Rifqi Muhammad , Tamara Aldisa Rima
Published: March 2024

Factories are places where goods and services are mass produced. Factories collect and integrate various resources, such as labor, capital, and machines. Factories have an important role in a country's economy, because they produce goods and services that society needs. Apart from that, factories can also create jobs and improve community welfare. However, factories can also have a negative impact on companies and the environment. Companies that produce goods with certain raw materials must consider the availability of raw materials at the factory location. If raw materials are not available at that location, the company must bring them in from other locations, which can increase production costs. Apart from that, companies must also consider the availability of adequate infrastructure, such as roads, electricity, air and telecommunications. If infrastructure is inadequate, companies have to invest to build it, which can also increase production costs. In this study, the ROC method and the MAUT method were used, the ROC method was used to determine the level of importance of the criteria used in selecting the factory location. The MAUT method is used to rank factory locations. The five criteria used in selecting factory locations are: availability of raw materials, availability of infrastructure, labor costs, transportation costs, and environmental impact. A total of 10 factory locations were selected based on predetermined criteria. The final results show that the best factory location is location E with a final score of 0.682, followed by location H and location F with a final score of 0.619 and 0.453 respectively.
Penerapan Algoritma Artificial Neural Network dan Economic Order Quantity dalam Memprediksi Persediaan Pengendalian BBM
Authors: Ula Walid Alma , Afdal M , Zarnelly Zarnelly , Permana Inggih
Published: March 2024

Motor vehicle production in Indonesia increases every year along with increasing demand for fuel as a raw material. Generally, gas stations carry out the process of ordering fuel from Dempo on an irregular basis, the frequency of orders does not have a certain time, orders depend on sales transactions and the amount of fuel inventory available depends on the fuel in storage. Regarding prediction and control of fuel supplies, the risk at gas stations is that the volume of fuel received is different from that ordered. It is suspected that tank trucks carrying fuel during delivery from the depot to gas stations tend to experience evaporation in the tank (loses), so that the fuel quantity decreases. Requests for fuel filling are only based on monitoring without any special calculations resulting in stock being maintained and not covering consumer demand. This research is to analyze the Artificial Neural Network algorithm in predicting fuel, and determine inventory control using Economic Order Quantity. The research was conducted using data from November 2020 - October 2023. The data was processed using the ANN algorithm using Google Colab, and continued with EOQ using Microsoft Excel. The ANN parameters are 1 hidden layer with 100 units, Adam optimizer, learning rate 0.001, batch size 8 and epoch 200. Pertalite ANN test results are MSE 248852593.81 and MAE 12749.45, while Pertamax Turbo MSE 803842.94 and MAE 672, 74 provides predictions for November and December of 11,1436.82 L and 11,1960.83 L and Pertamax Turbo of 3,782.46 L and 3,660.70 L. Furthermore, in 2023 the fuel EOQ of Pertalite and Pertamax Turbo will be 8,445 L and 5,261 L, Safety Stock 3,516 L and 1,064 L, Maximum Inventory 6,042 L and 5,153 L, Re order point 2,403 L and 108 L, Order frequency 149 times and 6 times with Total Inventory Cost Rp. 178,830,302 and Rp. 7,700,459.
Implementasi Data Mining dengan K-Means Clustering untuk Memprediksi Pengadaan Obat
Authors: Pane Putri Pratiwi , Ramadhan Nasution Yusuf , Furqan Mhd.
Published: March 2024

Community Health Center is one of the institutions that provides healthcare services. To ensure the provision of quality healthcare services, the Community Health Center management must be able to effectively manage medicine inventory to avoid the risks of shortages or excess stock. Therefore, the purpose of this research is to observe and perform clustering of medicine demands at Puskesmas Mandala using the K-Means Clustering technique. The data used includes medicine demand data from January to December 2023 at the health center. In its implementation, the RapidMiner application or software is utilized to perform clustering using the K-Means Clustering algorithm. The available medicine data will be grouped into 3 clusters: cluster 0 for high medicine demands, cluster 1 for moderate medicine demands, and cluster 2 for low medicine demands. Out of the 28 test data used, the results show the first cluster consisting of 24 items, the second cluster consisting of 3 items, and the third cluster consisting of 1 item with a Davies Bouldin Index value of 0.276. From this research, the Puskesmas can continue to procure medicine for the types classified under high-demand clusters to ensure that the medicine needs are consistently met.
IOT Rancang Bangun Alat Pengusir Hama Burung pada Padi Sawah Petani Berbasis Internet of Things (IoT)
Authors: Sufaat Imam , Juliandri Juliandri
Published: March 2024

This research aims to develop an effective and efficient bird pest repellent tool in farmers' rice fields by utilizing Internet of Things (IoT) technology. Bird pests often pose a serious threat to agricultural products, especially in rice fields. Through the application of IoT, this tool can monitor real-time bird activity around agricultural areas and take appropriate preventive measures. This tool is designed to utilize motion sensors or pir sensors, surveillance cameras, and a sound or visual signal delivery system to chase away birds. approaching agricultural areas. PIR sensors are widely used in a variety of applications, including home security systems, motion sensor lighting, and building automation. The main advantages of PIR sensors are their low power consumption and ability to provide fast response to movement, making them an efficient and effective choice for many detection applications. motion, data collected from sensors and cameras will be sent to the IoT platform with the Telegram application and which is connected via an internet connection, allowing farmers to monitor and control tools remotely via smart devices such as smartphones or computers. The main advantage of this tool is its ability to provide a quick response to the presence of bird pests, reduce agricultural yield losses and increase crop productivity. Additionally, integration with IoT provides high flexibility and connectivity, enabling continuous system optimization. designing this tool involves the hardware and software design stages. The hardware consists of a pir sensor, an esp 32 cam microcontroller, and a speaker and servo. While the software consists of Arduino Ide, Blynk and Telegram. After design, the tool is field tested for performance. Test results show that this tool is able to detect the presence of birds with good accuracy, provides a fast response in chasing them away, Telegram is able to communicate by giving commands and receiving images, Blynk can provide information on the condition of the tool when it is online and give commands to activate the servo, sound or both of them. With a significant removal success rate, this tool is successful in reducing losses caused by bird strikes in agriculture. Additionally, it has low power consumption and can be integrated with existing IoT platforms for remote monitoring and data analysis. It is hoped that this research can make a positive contribution to efforts to develop sustainable agricultural technology and improve farmers' welfare by protecting agricultural products from bird pest attacks. Thus, it is hoped that the implementation of this tool in the field can provide an innovative and efficient solution in controlling bird pests in farmers' rice fields.
Penerapan Metode Support Vector Machine Dalam Memprediksi Prediksi Cuaca
Authors: Rifqi Muhammad Naufal , Aldisa Rima Tamara
Published: March 2024

Weather is a natural that has a big impact on humans. Information about weather predictions is really needed by humans, especially in the city of Medan. This information is very useful for knowing weather events around us. Data mining is a process of collecting important information from large data, so that it can help make decisions and make accurate predictions. So researchers are interested in conducting research in predicting the weather in the city of Medan using the Support Vector Machine (SVM) method as a solution for predicting the weather in the city of Medan. The application of data mining using the SVM method helps produce precise accuracy for weather based on predetermined criteria. This method is suitable for weather predictions because it is able to provide clear and accurate assessments with weather predictions of 54.55%.
IMPLEMENTASI WEB SCRAPING UNTUK PENGUMPULAN DATA MEDIA SOSIAL LINGKUP PEMERINTAH PROVINSI NTB
Authors: Hidayati Lilik , Kusuma Logananta Puja , Agustini Dwi , Ardhana Valian Yoga Pudya
Published: March 2024

The number of internet users in Indonesia has recently increased, currently reaching around 62.1% of the total population. The prevalence of social media use has provided benefits for many stakeholders to be involved in the socialization and promotion of their products and activities. Information regarding the latest government programs and activities is published through the official website of the West Nusa Tenggara Provincial Government and the official pages of each office within the West Nusa Tenggara Provincial Government. The potential of social media needs to be maximized in order to disseminate government programs and activities to the community. Social media offers governments the potential to increase democratic participation by encouraging the public to have a voice in policymaking, working with the public to improve services, gathering ideas, and increasing transparency. This research seeks to apply web scraping techniques to collect data with the aim of monitoring social media performance and identifying factors that are closely related to the level of response elicited by a social media post. The research results show that on average a post on the official page of the West Nusa Tenggara Provincial Government gets around 114.9 likes, 5.1 comments and 11.6 shares. Importantly, one of the important factors that influences the number of likes a post receives is the time it is published. Optimal publication times for the official pages of the West Nusa Tenggara Provincial Government are observed between 06.00-16.00 and 18.00-21.00. By looking closely at social media performance and identifying these influencing factors, social media managers are ready to gain invaluable insights to improve performance by precision and efficacy.
PENGUJIAN KINERJA WEB SERVER ELASTIC CLOUD COMPUTE (EC2) FREE TIER PADA AMAZON WEB SERVICE (AWS) MENGGUNAKAN JMETER
Authors: Nur Hidayat Andi Muhammad , Rizaldy Adhy , Hartono Nahrun , Harwalis Harwalis
Published: March 2024

The research aims to evaluate the capacity of Amazon Web Service's (AWS) Elastic Cloud Compute (EC2) Free Tier Web Server using the JMeter testing tool. The objective is to ascertain the extent of the server's load-bearing capabilities. Tests were conducted, loading 500 users within a 10-second range and 1000 users within a 1-second range. Despite being a free service, test results showed the server's capability to handle high loads without errors (0% error rate). These findings illustrate the free service's ability to maintain stable performance under significant user loads. The utilization of EC2 Free Tier on AWS demonstrates its capacity to handle heavy tasks without compromising service quality. From about 5 steps in each of two tests, the value for sample time / response time in the initial test of the Amazon Web Service Web server is 59 / ms (millisecond) and the average latency value in the second test, namely 7.213 /ms (millisecond). Both of these gained CPU Utilization from minum, average and maximum with final rate are zero Error. This outcome concludes that the free server possesses robust and reliable capabilities, instilling confidence in an effective and efficient server solution even under high usage levels without additional costs.
WEBSITE SISTEM PAKAR DIAGNOSA PENYAKIT KULIT DENGAN FORWARD CHAINING (STUDI KASUS : PUSKESMAS TANGGULANGIN)
Authors: Qohhar Awwaluddin Abdul , Al Azam Moh Noor
Published: March 2024

A website-based expert system for diagnosing skin diseases using the Forward Chaining method and the Laravel Framework at the Tanggulangin Health Center. The main focus of research is to improve accessibility, accuracy of diagnosis, and public awareness of skin health. Quantitative approaches and exploratory design are applied through literature studies, interviews, surveys, system design, trials, evaluations, and improvements. The system development process involves collecting data from observations, interviews, and medical data to devise relational rules, tables of disease types, symptoms, and decision trees. The use of the Laravel Framework is the main foundation of system design, including user interface (UI) design, database structure, Forward Chaining inference logic, and diagnostic needs. System trials are conducted with test scenarios to evaluate the system's ability to diagnose various skin disease conditions. Data analysis is carried out quantitatively, especially on test results, to assess system reliability. The results of this study provide an empirical basis for recommendations for further development. Hopefully, this system can make a positive contribution in the process of diagnosing skin diseases at the Tanggulangin Health Center and increase overall public skin health awareness. This system is able to provide a diagnosis of skin diseases based on the symptoms inputted by the user. The evaluation carried out provides a positive picture regarding the effectiveness and satisfaction of users.
Análise do planejamento estratégico em startups: explorando as práticas e o contexto atual das indtechs capixabas
Authors: Mill Henrique Caser , Vargas Lara Gorayeb , Rodrigues Thiago de Almeida , Oliveira Rhuan Jadjeschi , Soanno Jamilly Furtado , Knupp Thiago Corrêa
Published: March 2024

A intensificação da competição no cenário empresarial tem impulsionado as startups a formalizar suas práticas internas para ampliar sua presença de mercado. O planejamento estratégico assume papel central nesse processo. Contudo, a literatura carece de estudos com foco na concepção e execução do planejamento estratégico em startups de tecnologia industrial, também conhecidas como indtechs. Este estudo visa analisar a dinâmica de elaboração e implementação do planejamento estratégico nessas startups, buscando identificar padrões de êxito e áreas de melhoria. Deste modo, uma pesquisa de levantamento foi conduzida, aplicando um questionário a cinco gestores de indtechs no Espírito Santo. Os resultados mapearam aspectos relevantes no planejamento estratégico em startups, como o processo de elaboração do planejamento, a execução do planejamento, o horizonte de tempo, as ferramentas mais utilizadas, a relevância interna do planejamento e o acesso a investimentos externos, destacando boas práticas e desafios. Por fim, este estudo oferece insights valiosos para que outras indtechs elaborem seus próprios planos estratégicos, abordando as especificidades desse processo em startups, enriquecendo assim a literatura sobre o tema.
THE RELIABILITY OF RESERVES VALUATION IN INSURANCE COMPANIES
Authors: BENȚE Corneliu
Published: March 2024

Starting from the theory of probabilities, which represents an attempt to investigate uncertainty, insurance companies must calculate their insurance premiums in such a way as to cover all their operational expenses and obtain the expected benefit, preserving the principle of equity and solidarity. In commercial insurance, statistical research plays a special role in estimating the level of insurance activity and its prospects. For this purpose, the events that take place in insurance are measured, ordered, systematized and aggregated through observation (collection), processing and analysis. Estimating the risk and the insurer’s obligations based on inadequate or incorrect data is an extremely dangerous situation. Therefore, it is extremely important for the insurer to establish the best possibility of observing and using the data. Basing premium rates and reserves is an important activity for insurance companies. If insurers do not accurately set premium rates that reflect the size of the risk, they may suffer losses due to the financial imbalance created between premiums and indemnities or due to adverse selection. The actuary deals with this within the insurance company, using various actuarial statistical methods. The Chain-Ladder method is one of the most popular claims reserving techniques. The aim of this study is to back-test the chain-ladder method. We use a stochastic scenario generator that allows us to simulate arbitrarily many upper claims reserving triangles of similar characteristics for which we also know the corresponding lower triangles. Based on these simulated triangles, we analyse the performance of the chain-ladder claims reserving method. The substantiation of technical reserves must be based on specific methods because there is a possibility that two insurers may use different calculation techniques for similar obligations and obtain totally different results, thus disrupting profitability and financial soundness.
Research on the impact of artificial intelligence on labor markets
Authors: Девяткина Д.Г. , Жукова Д.В. , Косникова О.В. , Нилова Н.М.
Published: March 2024

В статье рассматривается проблематика интеграции искусственного интеллекта и робототехники в разнообразные отрасли экономики, а также оцениваются их последствия для рынка труда. Академические исследования подчеркивают глобальное значение технологий, которые могут радикально изменить экономическую структуру многих стран. Ведущие индустриализированные государства активно интегрируют робототехнику и искусственный интеллект в широкий спектр отраслей, что позволяет автоматизировать рутинные операции и повысить производительность труда. Отмечается, что в России доля роботизированных систем в производстве и других секторах экономики остается низкой по сравнению с мировыми показателями, что может стать препятствием для укрепления конкурентных позиций страны на международной арене. Внедрение робототехники и искусственного интеллекта может оказать как позитивное, так и негативное воздействие на рынок труда, и этот процесс уже наблюдается. В рамках данного исследования предполагается комплексный анализ положительных и отрицательных аспектов интеграции новейших технологий в повседневную жизнь человечества.

The article examines the problems of integrating artificial intelligence and robotics into various sectors of the economy, as well as their consequences for the labor market. Academic research highlights the global importance of these technologies, which can radically change the economic structure of many countries. Leading industrialized countries are actively integrating robotics and artificial intelligence into a wide range of industries, which makes it possible to automate routine operations and increase labor productivity. It is noted that in Russia, the share of robotic systems in manufacturing and other sectors of the economy remains low compared to global indicators, which may become an obstacle to strengthening the country’s competitive position in the international arena. The importance of the development of artificial intelligence and modern technological solutions in various fields of human activity is undeniable. The introduction of robotics and artificial intelligence can have both positive and negative effects on the labor market, and this process is already being observed. This study assumes a comprehensive analysis of the positive and negative aspects of integrating the latest technologies into the daily life of mankind.
Practical aspects of development of a toolkit for assessing the efficiency of an electronic document management system
Authors: Замбржицкая Е.С. , Симаков Д.Б. , Усанов М.Ю.
Published: March 2024

Оценка экономической эффективности внедрения систем электронного документооборота (СЭД) в настоящее время является актуальной задачей и требует соответствующего методического инструментария. По результатам выполненного обзора существующих подходов к оценке экономической эффективности проектов по внедрению СЭД в статье был сделан вывод об их ограниченности, а именно игнорировании части затрат, связанных с эксплуатацией системы электронного документооборота. Указанные затраты могут быть достаточно существенными, что требует уточнения инструментария их оценки, что и было сделано в рамках настоящего исследования.

The assessment of the economic efficiency of the introduction of electronic document management systems (EDMS) is currently an urgent task and requires appropriate methodological tools. Based on the results of the review of existing approaches to assessing the economic efficiency of EDMS implementation projects, the article concluded that they are limited, namely, ignoring part of the costs associated with the operation of an electronic document management system. These costs can be quite significant, which requires clarifying the tools for their assessment, which was done in the framework of this study.
The main aspects of the strategic development of regional infrastructure projects
Authors: Полищученко В.А.
Published: March 2024

В статье рассмотрены основные аспекты стратегического развития региональных инфраструктурных проектов. Обоснованы принципы: приоритетность целевых направлений, комплексный подход, учет потребностей регионального сообщества и бизнес-сектора, финансовая устойчивость, использование инноваций и технологического прогресса, учет экологической устойчивости, прозрачность и эффективное управление проектами. Представлена взаимосвязь между факторами и принципами, которая заключается в том, что факторы могут оказывать влияние на принципы, а принципы в свою очередь помогают управлять, применять или использовать факторы наилучшим образом. Рассмотрена связь между принципами и критериями, которая обеспечивают систему основных ценностей инфраструктурных проектов. Установлены критерии стратегического развития региональных инфраструктурных проектов: экономическая эффективность, социальная значимость, экологическая устойчивость, технологическая инновационность, транспортная доступность, географическое расположение финансовая устойчивость. Выявлены основные показатели стратегического развития региональных инфраструктурных проектов.

The article discusses the main aspects of the strategic development of regional infrastructure projects. The principles of strategic development of regional infrastructure projects are substantiated and presented in detail: priority of target areas, an integrated approach, consideration of the needs of the regional community and the business sector, financial stability, the use of innovations and technological progress, consideration of environmental sustainability, transparency and effective project management. The relationship between factors and principles is presented, which consists in the fact that factors can influence principles, and principles in turn help to manage, apply or use factors in the best way. The interaction between the principles and criteria that provide a system of core values of infrastructure projects is also presented. Criteria for the strategic development of regional infrastructure projects have been established, such as: economic efficiency, social significance, environmental sustainability, technological innovation, transport accessibility, geographical location and financial stability. The author identifies the main indicators of the strategic development of regional infrastructure projects.