bluuebunny/crossref_metadata_2025 huggingface dataset:
Kebijakan Zero Draft COC Indonesia Dalam Mediasi Konflik Di Laut Cina Selatan
Authors: Putro Aprianto Trianggoro , Legowo Endro , Suwarno Panji , Widodo Pujo , Sukendro Achmed
Published: May 2024

This article aims to analyze Indonesia's conflict mediation capabilities in the South China Sea. The problem is focused on Indonesia's Zero Draft Code policy in providing mediation direction through the outline of various draft agreements or agreements or agreements. To approach this problem, references to public policy theory, mediation, conflict and threats are used. The data is collected through official Indonesian government documents related to COC policy in the South China Sea, such as official statements, regulations, decisions, or other related documents. In addition, academic publications such as articles, journals, or research reports discussing Indonesia's COC policy in mediating conflicts in the South China Sea can be a source of relevant data and qualitative analysis. The results and findings in this study explain that the developing conflict has encouraged Indonesia to mediate through negotiation and the formulation of a code of ethics or zero draft code as a reference in encouraging the behavior of each country in conflict. Indonesia has an interest in maintaining regional stability in Southeast Asia. The study concluded that ASEAN member states in conflict with China agreed to the code of conduct, although China has not agreed given the US involvement in the conflict.
Pengaruh Inovasi Produk dan Keunggulan Bersaing terhadap Keberhasilan Usaha pada UMKM Industri Makanan dan Minuman di Kota Medan
Authors: Mulia Fajar , Sari Warsani Purnama , Noprian Dolok Saribu Alfriado Leonard , Sari Wardhani Indah
Published: May 2024

This research aims to determine the influence of product innovation and competitive advantage on business success in Food Industry MSMEs in Medan City. The MSME Food and Beverage Industry is one of the businesses most in demand by young entrepreneurs. However, there are also risks in running this business due to extensive competition in the Food and Beverage Industry, where many MSMEs in the Food and Beverage Industry experience failure due to extensive competition and lack of innovation in the products offered. The research focuses on Medan City MSMEs because these MSMEs are one of the largest provinces producing MSMEs in the Food and Beverage Industry, with a population of 1,828 MSMEs. The sample in the research was 95 MSMEs in Medan City which were taken using the Slovin formula. The data collection technique used in this research was carried out by distributing structured questionnaires using the SPSS v.28 application. The analysis techniques used in this research are multiple linear regression, partial test (t test), simultaneous significance test (F test) and coefficient of determination R2. The research results show that there is a positive and significant influence of product innovation on business success, there is a positive and significant influence of competitive advantage on business success and there is a simultaneous positive and significant influence of product innovation and competitive advantage on the success of MSME businesses in Medan City.
Memahami Peribahasa "Nai Ngalis Tuka Ngengga" dalam Budaya Hambor Manggarai melalui Konsep Otentisitas Martin Heidegger: Kontribusi terhadap Kesadaran Perdamaian
Authors: Jugan Wenseslaus , Pandor Pius
Published: May 2024

The main focus of this article is to explore the wealth of wisdom encapsulated in the proverb "Nai Ngalis Tuka Ngengga," which is ingrained in the culture of Hambor Manggarai. The goal of this writing is to make the local wisdom of Nai Ngalis Tuka Ngengga in the Hambor Manggarai culture a philosophical study to enhance the awareness of Indonesian society in living and interpreting their being in the midst of the community, particularly in embracing a narrative of peace. The concept of authenticity by Martin Heidegger emphasizes how Dasein, which is the human being aware of its existence in the world, plays a role in this context. In the exposition on authenticity, authentic Dasein becomes the answer to human forgetfulness of its existence in the world. In this context, "Being" describes the wisdom of the Manggarai people in understanding and embracing the Hambor culture in their daily lives. The research methodology used in this study is qualitative research with a literature review approach. The research findings indicate that the proverbial wisdom in embracing Hambor culture represents authentic consciousness in the community's celebration of the narrative of peace. This research contributes to addressing the conflicts present in society today, such as identity politics, conflicts related to the construction of places of worship, and widespread human rights violations due to a lack of understanding of the meaning of Hambor culture.
Implementation of the Knowledge Management (KM) Model in Increasing Student Body in Private Universities
Authors: Hendradi Prionggo
Published: May 2024

The Knowledge Management concept is a method that will be used in research and allows an organization to manage its knowledge as an asset. In order to improve organizational performance, especially in the field of Higher Education (PT) services, various efforts are needed to channel correct and appropriate knowledge to PT managers, so that the implementation of activities can run as expected. This research uses a descriptive research method that systematically describes the facts, objects and subjects studied accurately. Knowledge is one form of achieving PT excellence, if the value of the knowledge created can be implemented by the PT. The idea to implement a knowledge management (KM) system model is to carry out a real reaction in the optimization efforts of Private PTs in increasing the student body at Satya Negara Indonesia University (USNI), which in fact is experiencing a degradation of prospective students. So that the implementation of Knowledge Management can run as expected, USNI needs to apply the general characteristics of its academics to the KM model by (a) Providing knowledge; (b) Carrying out academic activities; (c) carry out the Tri Dharma of Higher Education; and (d) Development of academic culture. This research aims to provide knowledge information in the form of a knowledge management model that must be implemented and carried out by USNI through changing mindsets through general characteristics in the development of lecturers as USNI resources in an effort to gradually increase the student body which ultimately results in superior learning products and education.
Operating System and Server Integration for Business Effectiveness
Authors: Apriani Desy , Afrijaldi Rizki , Auliya Nur , Darmawan Aden Andre
Published: May 2024

Management Information Systems (MIS) have a crucial role in supporting the effectiveness of a company or agency. A strong MIS ensures optimal internal planning and control, involving people, documents, technology and procedures. The importance of MIS demands synergistic integration between the operating system and servers to manage hardware resources and store information efficiently. This research aims to explore the factors that influence SIM in the context of operating system and server integration. The focus is on understanding the impact of this integration on business effectiveness, particularly in terms of planning, control and data storage. Research reveals that the integration of operating systems and servers positively contributes to increasing SIM effectiveness. Harmonious cooperation between the operating system and servers encourages optimization of hardware resource management and information storage, supporting more efficient internal planning and control. These findings provide a new view regarding the importance of operating system and server integration in optimizing SIM. The implementation of this integration is expected to improve business performance through more accurate planning, tight control and efficient data storage. The novelty of this research lies in the integrative approach to operating systems and servers in the context of SIM. A deeper understanding of these relationships can provide practical guidance for companies to improve the effectiveness of their information systems.
Analyzing the Influence of Artificial Intelligence on Digital Innovation: A SmartPLS Approach
Authors: Harfizar  , Wicaksono Muhammad Wisnu , Hakim Miftah Baidhowi , Wijaya Fadly Hadi , Saleh Taufikurrahman , Sana Eirene
Published: May 2024

This study investigates the influence of Artificial Intelligence (AI) on digital innovation using a SmartPLS approach, drawing insights from a dataset comprising 156 relevant observations. In the rapidly evolving digital landscape, AI has emerged as a powerful driver of innovation, reshaping organizational processes and outcomes across various sectors. Through a comprehensive analysis, the research explores the intricate relationships between AI adoption and digital innovation outcomes, addressing key questions regarding the extent to which AI influences process efficiency, product quality, and service creativity. The findings reveal significant correlations, highlighting the role of AI in enhancing organizational readiness, technological integration, and data quality. Moreover, the study identifies the critical importance of fostering an innovation culture and implementing effective change management strategies to leverage the full potential of AI-driven digital transformation. The robustness of the SmartPLS model is confirmed through substantial R-Square values and path coefficients, affirming the validity of the research hypotheses. Overall, this research contributes to a deeper understanding of the mechanisms through which AI influences digital innovation, offering actionable insights for businesses, policymakers, and researchers seeking to navigate and harness the potential of AI-driven digital transformation.
Optimizing Agricultural Yields with Artificial Intelligence-Based Climate Adaptation Strategies
Authors: Zidan Fallen , Febriyanti Dita Evia
Published: May 2024

In the face of climate change, agricultural productivity is severely threatened by unpredictable weather patterns and changing environmental conditions, underscoring the critical need for innovative solutions to bolster agricultural resilience and optimize yields. This study delves into the potential of artificial intelligence (AI), specifically through the use of machine learning and deep learning techniques, to develop climate adaptation strategies aimed at enhancing agricultural outcomes. By integrating AI with climatological data, the research predicts and mitigates the adverse impacts of climate on crop yields, utilizing a combination of machine learning and deep learning models to analyze historical climate data alongside crop performance. These models, trained on datasets including temperature, rainfall, soil moisture, and crop genetic information, are adept at forecasting future agricultural outcomes under varied climatic scenarios and suggest optimal adaptation strategies that significantly improve crop yields. Consequently, these AI-based models serve as robust tools for farmers and agricultural policymakers, enabling them to make informed decisions that are aligned with anticipated climatic conditions. The findings not only underscore the efficacy of AI in transforming data into actionable insights that enhance agricultural productivity but also contribute to the field of agricultural science by providing a technologically advanced approach to climate adaptation. Furthermore, this research paves the way for future studies on the integration of AI with real-time environmental sensing technologies, thereby offering a dynamic framework for agricultural management that supports sustainable farming practices and global food security amid climate challenges.
The Influence of Store Atmosphere and Price on Sales Levels Through Purchasing Decisions As A Mediator
Authors: Tanjung Ulil Amri
Published: May 2024

This study aims to examine how much influence the store atmosphere and prices have on the level of sales of coffee from Hati Pariaman through purchasing decisions as an intervening variable. Methods of data collection through surveys and distributing questionnaires, with a sample of 100 respondents. The analytical method used is SEM analysis using smartpls. The research results obtained based on hypothesis testing obtained that there is a significant influence of store atmosphere on purchasing decisions. There is a significant effect of prices on purchasing decisions. There is a significant influence store atmosphere on the level of sales. There is a significant effect of prices on the level of sales. There is a significant influence of purchasing decisions on the level of sales. Purchase decisions mediate the effect of store atmosphere on sales levels. Purchasing decisions mediate the effect of prices on sales levels.
Fault detection in photovoltaic systems using IoT
Authors: Sánchez-Tiburcio Luis Augusto , Garrido-Meléndez Javier , Rueda-Martinez Fernando , Sevilla-Romero Jorge Uriel
Published: May 2024

Fault detection in photovoltaic (PV) systems using the Internet of Things (IoT) allows monitoring variables that may be of interest to users who do not have technical knowledge and wish to measure: current, voltage, temperature, power generated, and money saved by the energy generated. This study aims to present a methodology for implementing a low-cost Internet of Things (IoT) to an FS in order to identify recurring faults using the Exponentially Weighted Moving Average (EWMA) statistical technique. The system was applied to a 3500 W PV located at the Universidad Veracruzana Campus Cotzacoalcos.
From the Ground Up: Regenerative Regional Design in the Alabama Black Belt
Authors:   Wentworth Institute of Technology, Maddox Samuel
Published: May 2024

It is all but inarguable that students of architecture today will face an entirely new paradigm of practice within their lifetimes. In an increasingly fragile world, what capacity does architecture have for repair and renewal? On an ever-more interconnected globe, what responsibilities do architects have to think and work systemically, not only across disciplines but beyond the traditional realms of the designer? And how does good design resist the entanglement of our profession with uneven development and inequitable urbanizing processes? For the next generation, such existential questions could not be further from hyper-bole; they are prerequisite to practice. From the Ground Up: Regenerative Design in the Alabama Black Belt is a senior-level, design-research architecture studio at Wentworth Institute of Technology that has been exploring exactly these questions through its work with the people, places, and processes that define life in the heart of the Deep South. The studio draws pedagogically from a variety of professional practices and design discourses—intertwining landscape-eco-logical sensibilities of placemaking through systems thinking with socio-spatial planning strategies—to empower students to propose large-scale, holistic change through a tactical network of architectural proposals. Along the way, students also engage with critical questions about the countryside: How is the rural inherently tied to the urban through resource extraction, refinement, and flows? Is rural settlement sustainable environ-mentally, socially, and economically in a hyper-connected world and economy, on a planet threatened by a warming climate? And, very important still, how might design help support the transition away from purely production-based patterns in rural areas?
Understanding Staff and Student Experiences at McKinley Health Center
Authors:   Shepley Bulfinch, Adora Ashita , Mysliwiec Carissa R. ,   University of Illinois at Urbana-Champaign, Dekker Cristina ,   University of Illinois at Urbana-Champaign, Lasusa Danielle N. ,   University of Illinois at Urbana-Champaign, Dearborn Lynne M. ,   University of Illinois at Urbana-Champaign
Published: May 2024

Contemporary preoccupation with physical and mental well-being demands that we study physical environments to ensure they contribute to overall wellness. Despite scarce research probing them, student health centers on university campuses are no exception. The environments of campus health centers must encourage university students’ mental and physical wellbeing while offering preventative and acute health services and providing a supportive work environmentfor staff. The McKinley Health Center, housed in a 97-year-old building, exists to provide university students with professionalprimary, specialized, and emergency healthcare and to serve as a campus center for medications, resources, and health education. This mission provided a framework for a post-occupancy study of the facility to structure advice for architectural renovations to improve staff and student experiences. Two research questions focused the study’s mixed methods research design.How do current environmental conditions at the facility influence experiences of student-patients, and staff, and staff-student interactions?What physical-environment changes would improve these?We collected data through observation of physical traces, building-document analysis, two surveys administered to distinct user populations, and content from public online facility reviews. Through descriptive, content, and the maticanalyses, we identified way finding, indoor environmental quality, and student-staff interactions as prominent themes in the experiences of student-patients as they seek care and health resources; and staff as they go through their daily work activities. McKinley’s floor plan complexity underpins severe way finding challenges that frustrate student-patients and distract staff. Among our redesign suggestions, we propose color-coded wings to provide redundant cognitive cues, simplify directions, and ease patient anxiety. The introduction of color can also transform an environment perceived as “grey” and “boring”. This relatively straightforward intervention can augment clearer signage. We believe this design approach can improve both student-patient and staff experiences and reflect an environment supportive of the student health and wellbeing priorities of the university.
Optimalisasi Model Ensemble Learning dengan Augmentasi dan SMOTE pada Sistem Pendeteksi Kualitas Buah
Authors: Hidayat Syahroni , Achmadi Taofan Ali , Ardhiansyah Hanif , Hidayat Hanif , Febriyanto Rian , Abdulloh Abdulloh , Ermawati Intan
Published: May 2024

Fruit quality is an important factor in selecting fruit for consumption because it affects consumer health and satisfaction. Identification of fruit quality has become the focus of research, and one of the approaches used is a non-destructive approach through measuring the gases produced by the fruit. Machine learning can be used to process this gas data and build system models that can classify fruit quality. This research discusses the application of the DCS-OLA and Stacking dynamic ensemble learning algorithms to build a fruit quality detection system model. The basic methods used to build models are Logistic Regression, Decision Tree, Gaussian Naïve Bayes, and Mul-ti-Layer Perceptron. The fruit used is mango with a shelf life of 7 days and Srikaya (sugar apple) with a shelf life of 4 days. The condition of the initial dataset is unbalanced. The research results show that trimming the mango dataset to only 4 days according to the shelf life of sugar apple helps reduce the difference in shelf life between the two. Then jittering and balancing techniques are used to increase and balance the number of datasets between the two types of fruit. High accuracy is achieved by the DCS-OLA ensemble and stacking ensemble by combining the basic methods of Logistic Regression and Decision Tree, especially in balanced dataset conditions. In conclusion, the use of ensemble learning in detecting fruit quality has great potential for real-world applications. However, further validation is needed with larger datasets and a wider variety of conditions.
SISTEM KEAMANAN LEMARI PENYIMPANAN BARANG MENGGUNAKAN PASSWORD SEBAGAI KENDALI AKSES DAN SENSOR ULTRASONIK SEBAGAI PENDETEKSI BARANG
Authors: Akbar Muhammad , Candra Robby , Karyanti Yuli , Chalri Yulia , Rasjid Hasma
Published: May 2024

A sense of security in storing items and ease of finding storage cabinets in public places such as shopping centers is absolutely necessary, but this may still not be fulfilled because storage cabinets still use conventional locks or still use cards to store items, plus it requires a time-consuming process to look for an empty storage cabinets. Therefore, the creation of a storage cabinets model in this research aims to implement a security system for a storage cabinets with access control using a password and to know whether there are items in the storage cabinets or not so that users can find out which storage cabinets are available/empty. This storage cabinets security device uses a solenoid as a lock, a servo motor to actuate the cabinets door, an ultrasonic sensor to detect items in the cabinets and control it via keypad and LCD to display the condition of the cabinets use. This tool uses an Arduino Mega microcontroller as the main controller and password storage medium, thereby producing output automatically where the solenoid will open/close and the servo motor moves to open/close the cabinets door. The tool can function to detect items in cabinets and based on item detection using an ultrasonic sensor the user can find out which cabinets are empty and the cabinets door will open based on a password determined by each user to ensure the security of the items stored.
Estimation of Time of Death through Observation of Microbiota Changes in the Oral Cavity
Authors: Oktaviana Fahriza R. , Gultom Ferry P. , Pasaribu Roben S. , Auerkari Elza I.
Published: May 2024

Abstract: Various methods for estimating post-mortem (PMI) have been investigated such as rigor mortis, livor mortis, molecular, chemical, and forensic entomology (insect) methods. However, these methods have weaknesses, therefore researchers are looking for more accurate methods in determining the time of death of a person. Molecular methods are unreliable due to the degradation of DNA, RNA, and proteins in corpses over time. In different parts of the body, the amount of diversity of microbes will be different. The oral cavity is the most abundant microbial area among other parts of the body due to its continuous exposure to the respiratory and digestive systems. This area has great potential in estimating time intervals of death because of its ease of access and the types of microbiomes that predominate at any given time. Therefore, this narrative review was conducted to describe studies that used oral microbiota communities to estimate post-mortem intervals. Proteobacteria, Firmicutes, Actinobacteria, and Bacteroidetes are the dominant microbial types found in corpses. Firmicutes became one of the dominant bacterial phyla in the early stages of decomposition. Actinobacteria were found to decrease as PMI increased. Studies have shown that the oral microbiome has excellent potential as a parameter to determine the post-mortem interval. However, further research is needed with more complex environmental conditions such as different humidity and temperature. In addition, further research requires more samples of human remains to obtain more valid results.
Keywords: oral microbiome; post-mortem interval; human identification; forensic odontology
ECONOMIC EFFICIENCY OF THE ENERGY SUPPLY SYSTEM OF A COOKER WITH PROPORTIONAL GAS FLOW CONTROL
Authors:   All-Russian Research Institute for Use of Machinery and Petroleum Products in Agriculture, Shuvalov Anatoliy , Mashkov Alexey ,   All-Russian Research Institute for Use of Machinery and Petroleum Products in Agriculture
Published: May 2024

Until recently, heating of rural houses was carried out with coal or wood. Animal feed and food were prepared on electric stoves or on gas stoves with gas cylinder fuel. These are labor-intensive and energy-consuming technologies. The intensively developing gasification of rural areas makes it possible to universally transfer the heating of rural houses and the preparation of feed and food to natural gas. In the presented work, the main evaluation indicator of the digester is the efficiency factor. Equations are given that describe the useful energy consumption for preparing the product in a digester, as well as heat losses for heating metal structures, for compensating for energy losses from the boiler casing, for purging the steam jacket, and energy losses with flue gases. The energy consumption per unit of production was determined when loading the boiler from 100 to 20 liters. It has been revealed that the efficiency of the boiler decreases by almost 2 times if, instead of 100 liters, the cooking tank is loaded with only 20 liters. Based on experimental data, the useful component of the energy spent on heating 100 liters of water to a boil was determined and the boiler efficiency in automatic and manual mode was determined, which was: in automatic mode, efficiency = 0.84, in manual mode, efficiency = 0.7. Taking into account experimental data, the total gas consumption for the full cycle of feed preparation in automatic and manual modes was determined. The annual operating costs from burning gas in a digester in automatic and manual modes and cost savings on energy supply for the feed preparation process were determined.
FEATURES OF WEAR OF PLASHES RESTORED WITH SUBSEQUENT STRENGTHENING OF CVAH REVOLVABLE PLOWS
Authors:   Orel State Agrarian University named after N.V. Parakhin, Titov Nikolai
Published: May 2024

The widespread use of plows from foreign manufacturers has led to the need to develop a restoration technology with subsequent hardening of replacement parts of their working bodies, in particular plowshares, due to their intensive wear. The situation is aggravated by the fact that there are currently significant interruptions in the supply of spare parts for foreign tillage equipment and a significant increase in their cost. Existing technologies for restoring parts of this type do not provide them with a high service life, and therefore require improvement.The wear features of reversible plow shares restored using wear-compensating elements followed by carbide-arc hardening (CAH) were studied in this work. Production tests were carried out using the shares of the Lemken EurOpal reversible plow when plowing medium and heavy loamy soils. Spring sheets made of steel 65G, which had lost their elasticity, were used as the material of the compensating element. A multicomponent paste containing 65% matrix powder PR-Kh30SRNDYu, 25% boron carbide and 10% cryolite was used for CAH. The specific wear of the cutting surfaces of plowshares along the width was studied in three sections. The production tests carried out made it possible to establish that the increase in wear of the cutting surfaces of both serial shares in the delivery state and those restored with subsequent hardening of the highpressure unit with an increase in their operating time is subject to a linear relationship. The greatest wear, regardless of the operating time of the ploughshare, is in the heel area, the least wear is near the bit attachment area. Restoring the studied shares with subsequent CAH on the rear side makes it possible to increase their operating time to 76 hectares, which is on average 1.8 times higher than that of serial shares in the delivered state. The use of the proposed technology will help solve the problem of resource conservation and import substitution.
CHOOSING A NEURAL NETWORK MODEL AND ARCHITECTURE FOR A TECHNICAL VISION SYSTEM FOR DETECTING SUGAR BEET ROOT CROPS
Authors:   Tambov State Technical University, Nikolyukin Danila ,   Scientific Research Institute for the Use of Machinery and Petroleum Products in Agriculture, Peters Vladimir ,   Tambov State Technical University; Scientific Research Institute for the Use of Machinery and Petroleum Products in Agriculture, Popov Mikhail ,   Scientific Research Institute for the Use of Machinery and Petroleum Products in Agriculture, Kryshchenko Andrey ,   Scientific Research Institute for the Use of Machinery and Petroleum Products in Agriculture
Published: May 2024

The use of a technical vision system, aimed at ensuring greater safety of sugar beet roots during harvesting and storage by analyzing raw materials arriving at factories, is considered among the methods of long-term storage. The process of distribution of trucks at the receiving point of sugar factories is considered by humans in the work. The purpose of the work is to develop a method for detecting sugar beet roots on an image of the surface of a truck embankment at the receiving point of sugar factories. A neural network was chosen as the raw material recognition method due to the extremely diverse nature of the resulting images, which recognition using a threshold transformation cannot cope with. Algorithms (options such as SSD, YOLO, R-CNN) and architectures (options such as AlexNet, VGGNet, GoogleNet, ResNet) of various neural networks are considered. The most suitable neural network for the required tasks has been identified. The optimal size of the database for training has been determined. As a result of training and testing the neural network, the need to create additional filters was identified. Filters have been created and described that clarify the work of the neural network: filtering out “stuck together” objects, objects with low class membership, objects with an impossible area (too small or large), as well as with an aspect ratio of less than 0.2 or more than 5. A neural network capable to find a sufficient number of sugar beet roots in incoming images and to meet the requirements for high-quality functioning of the technical vision system, was trained based on the results of the work performed.
Penggunaan Media Puzzle Angka untuk Meningkatkan Sosial Emosional Anak Tunarungu Usia 8 Tahun
Authors: Nurhasikin  , Mufidah Nurul , Lestari Tri Ayu
Published: May 2024

Tujuan penelitian ini adalah untuk mengetahui perkembangan sosial emosional anak melalui permainan Puzzle angka, untuk mengetahui respon anak selama proses pembelajaran menggunakan permainan Puzzle angka. Penelitian ini merupakan Penelitian Tindakan Kelas (Classroom Action Research) yaitu pencermatan terhadap kegiatan yang sengaja dimunculkan yang terjadi dalam sebuah kelas. Tindakan tersebut diberikan oleh guru atau dengan arahan yang diperoleh guru dari penelitian. Penelitian tindakan kelas ini dilakukan secara kolaboratif dimana penelitian ini dilakukan secara bekerjasama antara peneliti dengan guru dalam satu kelas. Subjek utama dalam penelitian ini adalah anak usia 8 Tahun.
STIMULATING SIX ASPECTS OF DEVELOPMENT IN CHILDREN AGED 4-5 YEARS THROUGH LEARNING ASSISTANCE IN CIHANJAWAR VILLAGE RT 01 BOJONG PURWAKARTA
Authors: Winarti Wiwin , Adriansah
Published: May 2024

The purpose of this devotion is to stimulate six developmental factors in children. Because the age range of 4-5 years is a golden age along the age range of human development. During this time the child is particularly receptive to stimuli from his environment. At that age, children also experience rapid growth and development both physically and mentally, so they need the right stimulus to optimize their growth and development. This service is carried out through learning assistance activities for children aged 4-5 years located in cihanjawar village Rt. 01. Because in cihanjawar village rt 01 there is no early childhood level school, the author conducts a program to stimulate six aspects of development in children through learning assistance, so that when entering the next level the child's development is optimal. It can be concluded that after the holding of learning assistance in early childhood in Cihanjawar village Rt.01, significant changes were seen in the development of each child. Seen in each activity, children show changes in their development through social interactions with adults and other children, where the child's interest and curiosity motivate him to learn while playing and there are individual variations in learning development.
MENGEMBANGKAN MUTU LEMBAGA PAUD, DENGAN MEMPERHATIKAN ASPEK TENAGA PENDIDIK, SARANA PRASARANA DAN HUBUNGAN ANTARA GURU DAN ANAK
Authors: Olii Dwi Agista , Rahma Hungopa  , Fatma Djimadi  , Tanti  , Sri Rawanti
Published: May 2024

Early childhood education is a place for children to develop their abilities. The use of the term early childhood in early childhood indicates a high awareness on the part of the government and as observers of education to deal with children's education in a professional and serious manner. The handling of early childhood, especially in the field of education, will determine the quality of the nation's education in the future. Therefore, quality education is needed by paying attention to the quality of the PAUD institution. The purpose of this study was to find out how the efforts made by the government to improve the quality of PAUD institutions. The method used is interview and observation. The results of the study show that the factors that support the improvement of the quality of early childhood education are still relatively unrealized.
PENGARUH PENGGUNAAN MEDIA AUDIO VISUAL MENGGUNAKAN VIDEO ANIMASI UNTUK MENINGKATKAN KOSAKATA DI TAMAN KANAK-KANAK PUSAT PADU LINO
Authors: Wina  , Muhammad Akil Musi  , Rusmayadi  , Rika Kurnia R  , Dzulfadhilah Fitriani
Published: May 2024

Berdasarkan penelusuran yang dilakukan terdapat 12 anak yang penguasaan kosa katanya belum berkembang optimal, dapat dilihat saat guru menanyakan masalah warna. Anak belum mengerti esensi dari pertanyaan yang diberikan, misalnya saat anak diberikan pertanyaan mengenai warna bunga mawar ada anak yang menjawab merah, putih, kuning dan ada anak yang sama sekali tidak menjawab. Penelitian ini bertujuan melihat pengaruh media audiovisual melalui video animasi untuk meningkatkan kosakata di TK Pusat Padu Lino Tanah Towa Kajang Kabupaten Bulukumba. Metode penelitian yang digunakan yaitu kuantitatif dengan jenis kuasi eksperimental Adapun populasinya sebanyak 19 anak di TK Pusat Padu Lino Tanah Towa Kajang Kabupaten Bulukumba. Pengambilan sampel dilakukan dengan Teknik purposive sampling. Sampel penelitian terdapat 12 anak yaitu 6 anak di kelompok kontrol dan 6 anak di kelompok eksperimen. Teknik analisis data deskriptif dan analisis statistik non-parametrik yaitu uji wilcoxon sign rank test. Hasil penelitian menunjukkan bahwa kelompok eksperimen mengalami peningkatan rata-rata sebesar 24,67 dan kelompok kontrol sebesar 21,00. Nilai signifikan dapat dilihat pada hasil pengujian kelompok eksperimen yaitu (2-tailed), 0,027<0,05 yaitu H0 ditolak dan H1 diterima. Maka dari itu dapat disimpulkan bahwa penggunaan media audio visual menggunakan video animasi dapat memberikan peningkatan kosakata anak di TK Pusat Padu Lino Tanah Towa Kajang Kabupaten Bulukumba.
PENERAPAN PENDEKATAN WHOLE LANGUAGE DALAM PENGAJARAN LITERASI ANAK USIA DINI
Authors: Mutiara Mutiara Rohmah Dhiny
Published: May 2024

Penelitian ini bertujuan untuk menyelidiki penerapan pendekatan Whole language dalam pengajaran literasi anak usia dini. Pendekatan Whole language menekankan pemahaman keseluruhan Bahasa melalui kegiatan membaca, menulis, mendengarkan,dan berbicara. Penelitian ini menggunakan pendekatan kualitatif dengan pendekatan studi kasus. Subjek penelitian terdiri dari sekelompok anak usia dini yang mengikuti program Pendidikan dengan penerapan pendekatan Whole language. Data dikumpulkan melalui observasi kelas, wawancara dengan guru, dan pengamatan terhadap perkembangan literasi anak-anak. Analisis data dilakukan dengan menggunakan menggunakan pendekatan induktif, dimana pola tematik dan makna yang muncul dari data ditemukan. Hasil penelitian menunjukkan bahwa penerapan pendekatan Whole language dalam pengajaran literasi anak usia dini memiliki manfaat yang signifikan. Anak-anak terlibat secara aktif dalam aktivitas membaca dan menulis, anak usia dini menunjukkan minat yang tinggi terhadap literasi, dan meningkatkan pemahaman bahasa secara menyeluruh. Selain itu, anak-anak juga mengembangkan keterampilan berbicara dan mendengarkan melalui interaksi dengan guru dan teman sebaya. Penelitian ini memberikan wawasan tentang efektivitas pendekatan Whole language dalam konteks pengajaran literasi anak usia dini. Implikasi praktis dari penelitian ini adalah perlunya penerapan pendekatan Whole language dalam kurikulum Pendidikan anak usia dini untuk meningkatkan literasi dan pengembangan Bahasa secara holistik.
Evaluating Public Procurement's Challenges in Nigeria's Construction Industry
Authors: Boniface Nancy Amarachi , Nnadi Ezekiel , Eze Val Hyginus Udoka
Published: May 2024

The article explores the challenges faced by public project management in Nigeria, focusing on the procurement process and its potential improvements. The research used a survey and descriptive design, collecting data from 125 procurement offices and federal Ministry of Works professionals. The study found that poor risk management, dark purchasing, corruption, and lack of transparency were the top issues, with a mean score of 4.96. The study also found that the procurement process and industry, economy, and project quality had a joint influence on the dependent variables. The study rejected the null hypothesis, stating that the procurement process significantly impacts the industry, economy, and project quality in Nigeria. The research recommends implementing measures to improve the procurement process and punishing offenders to reduce fraud. The study concludes that the procurement process in Nigeria significantly impacts the industry, economy, and project quality.
Automated Power Source Selection System for Uninterrupted Supply: Integration of Main Power, Solar Energy, and Generator Power
Authors: Ukagwu Kelechi John , Kapalata Prosper , Eze Val Hyginus Udoka
Published: May 2024

A consistent power supply is indispensable across various sectors, spanning from households to critical institutions like research facilities, hospitals, and financial institutions. This study endeavors to ensure uninterrupted power provision to a load through an automated selection process among three primary power sources: main power, solar energy, and generator power, with main power being the primary preference. Implemented using an 8051 microcontroller, the system is linked to three switches representing each power source for simulation purposes. Upon detection of a switch release or deactivation, signifying the absence of that particular power source, the microcontroller promptly deactivates the corresponding relay driver. This relay driver then switches the relevant relay, facilitating seamless power continuity to the load if any switch is activated. A lamp or bulb serves as a demonstrative load powered by the primary source. In the event of a power outage, the system seamlessly transitions to the next available source, such as solar energy, and if required, to generator power. An LCD is employed to indicate the currently active power source, ensuring operational transparency and facilitating swift troubleshooting when necessary.
Voltage Optimization on Low Voltage Distribution Transformer Zones Using Batteries in Uganda
Authors: Iddi Edema Simon , Umaru Kalyankolo , Eze Val Hyginus Udoka , Asikuru Salama , Musa Nassaga , Ochima Noah
Published: May 2024

In the context of Uganda's rapidly growing energy demands and the need for sustainable solutions, this study explores the implementation of voltage optimization techniques in Low Voltage (LV) distribution transformer zones. The research focuses on the innovative integration of batteries to optimize voltage levels, thereby enhancing the efficiency and reliability of the electrical distribution system. By analyzing real-time data from various LV transformer zones in Uganda, this study investigates the impact of voltage fluctuations on the overall power distribution network. The research methodology involves the design and deployment of battery energy storage systems (BESS) strategically placed within LV distribution transformer zones. These BESS units are utilized to store excess energy during periods of low demand and release it during peak hours, ensuring consistent voltage levels and minimizing losses in the distribution network. The study evaluates the effectiveness of this approach through extensive simulations and on-site experiments, considering factors such as battery capacity, charging/discharging rates, and load variations. A comprehensive cost-benefit analysis is conducted to evaluate the potential financial savings and environmental impact associated with this sustainable energy solution. The findings of this research indicate significant improvements in voltage regulation, reduced system losses, and enhanced reliability in LV distribution transformer zones. Additionally, the study demonstrates the feasibility of integrating batteries into the existing infrastructure, thereby contributing to the optimization of the energy distribution system in Uganda. The outcomes of this research provide valuable insights for policymakers, utility companies, and researchers, emphasizing the importance of embracing innovative technologies to address the energy challenges faced by developing nations like Uganda.
EFFECT ON HEMODYNAMIC VARIABILITY OF INTRAVENOUS DEXMEDETOMIDINE 0.5µg/kg VS 1µg/kg DURING DIRECT LARYNGOSCOPY & ENDOTRACHEAL INTUBATION IN ELECTIVE SURGERIES UNDER GENERAL ANAESTHESIA: A RANDOMIZED DOUBLE BLIND INTERVENTIONAL STUDY
Authors: Bansal Sachin , Gupta Poonam , Purohit Shobha , Sharma Neelu
Published: May 2024

Safe airway management is an essential skill for an
1
anaesthesiologist. Laryngoscopy and endotracheal
intubation are common measure to secure airway for proper
ventilation of patients during surgery under general
2
anaesthesia. Laryngoscopy and intubation evoke a painful
stimulus, which causes severe physiological and pathological
responses such as autonomic and activated brain stem
2
reexes. The magnitude of the response is greater with
3 , 4
increasing force and duration of laryngoscopy.
Endotracheal intubation dir e c tl y aff e c t s e v e r e
sympathoadrenal responses, which increase arterial blood
pressure, plasma catecholamine levels, heart rate and even
5
lead to dysrhythmia in some cases.
MRI BRAIN EVALUATION IN PATIENTS WITH DEVELOPMENTAL DELAY IN A TERTIARY CARE SETTING
Authors: P. Gour Prajwaleet , Kumar Singh Nikhil , Tiwari Sonali , Nashreen M. Fathima
Published: May 2024

Introduction: Developmental delay is dened as when a child's progression through predictable
developmental phases slows, stops, or reverses in any of the established developmental domains.
Magnetic Resonance (MR) is the preferred modality to assess these patients and provides much better details than a plain or
contrast CT. Evaluation of such patients is necessary not only for prognosticating the patient but also to identify any genetic
association suggestive of as to provide effective guardian counseling. Thus this study was done to assess the array of imaging
features in developmental delay in Indian children which will help the doctors to estimate the maximum development potential
and cater specic individualized treatment. To study the imaging morphology and its distribution in Aims and Objectives:
patients with developmental delay along with estimation of burden for different etiologies. Materials And Methods: It is a
prospective, observational & descriptive study of MRI Brain in 73 patients (49 Males and 23 Females), aged between one month
to 60 years; presenting with developmental delay in Government medical college and hospital, Nagpur; over a period of 18
months (July 2022 to January 2023). MRI brain was done on 3.0T Siemens Magnetom Vida with routine sequences like T1, T2,
STIR, SWI, FLAIR, IR and DWI. All anatomical structures like gray-white matter, cerebellum, brainstem, ventricles etc. were
systematically assessed. The MRI ndings were divided into groups on the basis of etiology. Normal Results: MRI ndings were
seen in 23% cases and 77% had abnormal ndings. Amongst the abnormal imaging features the attribution to hypoxic,
congenital, metabolic, traumatic and infectious were 48%. 37%, 5% , 2% and 2% respectively. The anatomical structures to
affected most commonly were found to be white matter and ventricles. Rather than considering the cl Conclusion: inical
diagnosis of developmental delay as the end-point of algorithm, MRI should be incorporated routinely in such patients to
effective pin-point the pathology so as to cater personalized treatment and effective counseling.
RELEVANCE AND IMPORTANCE OF BREAST REDUCTION AS AN ADJUVANT IN THE TREATMENT OF DORSO-LUMBAR PAIN IN WOMEN WITH GIGANTOMASTIA: CLINICAL CASE PRESENTATION
Authors: Torres Herrera Giovanni Alexander , Coral Polit María José , Jara Chavez Alexander Antonio , Poma Morocho Pablo Luis , Tejada Andino Diana Carolina , Sanmartin Saetama Wilson Kevin , Tadeo León Karina Elizabeth , Artieda Guerra Vanessa Estefania
Published: May 2024

Objectives: To describe complications of gigantomastia in women and adjuvant treatment, breast
reduction analysis as treatment. A retrospective study was carried out in a young female patient Method:
diagnosed with gigantomastia and dorso-lumbar pain, who underwent surgical breast reduction treatment. A 15-year- Results:
old female with gigantomastia and onset of dorso-lumbar pain for 10 months, with no evidence of correction of spinal curvature
by imaging examinations and evident recurrent cervical, dorsal and lumbar paravertebral muscle contracture despite antiinammatory treatment and physical therapy. Bilateral breast reduction + mastopexy was performed, obtaining excellent
therapeutic results for pain, aesthetic and psychological. The exaggerated growth of mammary glands Conclusion: in women
(gigantomastia) can bring health problems in the short and long term; mainly back pain that does not completely subside to
analgesic treatment and physiotherapy and in some cases can increase and even involve bone damage of the spine and nally
be associated with psychological disorders due to dissatisfaction with their body. This is how the importance of a treatment for
symptom relief, preventive by reducing the risk of bone alterations in the spine and of course improving the psychological part of
the patient arises.
SURGICAL MANAGEMENT OF A GIANT OVARIAN CYST IN AN ADOLESCENT
Authors: Mohamed Essarghini , Mohamed Tarchouli
Published: May 2024

Introduction: Ovarian cysts constitute a common pathology in adult women and are often asymptomatic.
However, there is little epidemiological data on its distribution among adolescents. Observation:
Through clinical observation, we retrace the diagnostic difculties encountered and the possible surgical options to manage two
cystic ovarian lesions including a giant cyst in a 17-year-old girl who beneted from a laparotomy for bilateral cystectomy with
ovarian preservation. Laparotomy is a viable option for giant ovarian cysts when imaging cannot rule Conclusion: out the
malignancy of a lesion in adolescents
KNOWLEDGE ON ORAL HEALTH OF WOMEN DURING PREGNANCY
Authors: Chhabra Jaya , Sachdeva Vibhuti
Published: May 2024

Pregnancy and postpartum are adequate periods for
adopting a healthy lifestyle. Good practices include regular
exercise, balanced diet, avoiding alcohol & smoking etc.