bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS SEKTOR UNGGULAN DAN DAYA SAING WILAYAH KOMODITAS DI KABUPATEN OKU TIMUR
Authors: Asngari Imam
Published: February 2024

The purpose of this study to identified basic sector and commodity competitive at the Ogan Komering Ulu Timur municipality. The secondary data used from Biro Pusat Statistik (BPS) to the basic sector identification by Location Quotient Index (LQ) in period 2001-2006 and primary data in 2007 to analysis commodity on regions competitive by Competitive Productivity for Labor Index (CLI). Focusing that analysis are basic sector and basic employment to determinant by competitive region. The result of the research sow that founding basic sector in OKU Timur that is agriculture sector, coals and mining and services.  Base on commodity and competitive region, Martapura and Belitang district its has hight competitively on indutries commers, hotels and restaurant, and services. The disstric BP Peliung and Madang Suku II has competitive to genteng industries, coals and mining i.e Mineral and Quarrying Type C Production. The paddy field is a basic coomodity in Buay Madang district and competitive at walet, Pedigree Fowl and Domestic Hens, and rice milling unit. The district Belitang II and Belitang III are has highest competitively at food industries, and transportation. Semendawai Suku III, Semendawai Suku Barat, Semendawai Suku Timur, and Cempaka district its has competitive highest at fish production by cultivated, Fresh Water Pond, Paddy Field and open water, palm oil and Rubber of Smallholders Estate. Key Words: Basic sector, basic employment, location quotient, competitive productivity of labor index.
ENGARUH NILAI TUKAR RUPIAH TERHADAP TINGKAT SUKU BUNGA PASAR UANG ANTAR BANK (PUAB) DI INDONESIA PERIODE 1991-2005
Authors: Akbar Imam
Published: February 2024

The purposed of this research is to analyze the effect between exchange rate and interbank call money rate  in Indonesia the period 1991 up to 2005. The outcame of this research was hoped become the information that could explain the effect of exchange rate against interbank call money rate  in Indonesia the period 1991-2005. The data used in this research is secondary data that came from the various source, among them the Statistical Centre Committee the Palembang Branch, The Indonesian Bank,  and  any literature and books. The result shows that the effect  the exchange rate is negative and significant  on interbank call money rate.. Key Words: exchange rate and interbank call money rate
KETERKAITAN ANTARA EKSPANSI MONETER DENGAN AGREGATE DEMAND
Authors: Djambak Syaipan
Published: February 2024

Monetary expansion is the monetary policy pursued by the monetary authority by adding the amount of currency in circulation so that the total amount of money in circulation increases. Added Theoretically the money supply would encourage economic actors (consumers, producers and traders) to increase its activity which affects the increase in aggregate demand. This study will prove whether empirically (especially for the Indonesian economy) increase the money supply will boost aggregate demand. Authentication is done by using a sequential model equation (equation partial) which is a series of simple linear model using OLS and test methods hypotesia "t". The results of this study showed a positive policy of monetary expansion and significant effect on increasing aggregate demand (AD), as well as with all components of aggregate demand (consumption, investment, Gevernen spending, exports, and imports). Keywords: Monetary expansion, Aggregate Demand
Identifying Student Misconceptions on Momentum and Impulse Using Four-Tier Diagnostic Test Instrument with CRI
Authors: Paramita Uci Vebia , Jauhariyah Mukhayyarotin Niswati Rodliyatul
Published: February 2024

Identification of students' misconceptions is crucial in Physics learning as an evaluation tool to address and reduce these misconceptions. This study aims to assess the quality of a four-tier diagnostic test using the CRI instrument, assisted by JotForm, and describe the profile of students' misconceptions related to momentum and impulse. The quality of the instrument is evaluated based with validity and reliability. The research follows the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) method. The instrument is developed during the analysis, design, and development stages. The implementation and evaluation stages involve capturing the profile and causes of students' misconceptions. The instrument's quality is assessed based on theoretical validity, which reached 89.29%. Empirical content validity haved percentages of false positives 6.93%and false negatives 6.53%. The empirical validity of the construct, with a significance level of 0.05, resulted in an rtableof 0.273. From the 15 questions tested, 12 questions were found to have empirical validity, and a reliability score of 0.475 was obtained. The study revealed that 3 students had low misconceptions, 14 students had medium misconceptions, and 6 students had high misconceptions. The causes of students' misconceptions were primarily false positives and humanistic thinking, accounting for 28.56%. In conclusion, the instrument developed in this study is valid and reliable, and it effectively identifies the profile and causes of students' misconceptions.
Effectiveness of Eco Enzyme for Inducing Flower Growth in Dendrobium Sonia-ersakul Orchids
Authors: Azuhro Vionika , Dzakiy M. Anas , Minarti Ipah Budi
Published: February 2024

Orchid plants are ornamental plants with various shapes, colors, and sizes, exhibiting unique characteristics that make them a special attraction for enthusiasts of ornamental plants. Among them is the Dendrobium orchid, which belongs to the genus of orchids known for its diverse types and beauty. Enhancing the growth and quality of Dendrobium Sonia-ersakul orchid flowers can be achieved through proper fertilization. The fertilizer in this research is derived from liquid organic fertilizer, Eco Enzyme. This research aims to assess the impact of Eco Enzyme on the induction of flowering growth in Dendrobium orchids. This research was carried out at CV Candi Orchid, 17 Bukit Unggul Raya Street, Semarang, over three months, from May to July 2023. The research design employed in this research is the two-tailed t-test research method, which includes a control group and an experimental group treated with 0.2% Eco Enzyme. There were two combinations, with each treatment comprising six replicates. The measured variables included the number of roots, root length, buds, and panicles. The outcomes indicated that the application of Eco Enzyme led to a significant increase in the number of panicles compared to the control group. However, no significant differences were observed in root length, the number of new roots, or the number of buds when Eco Enzyme was applied.
Spatial Analysis of Dengue Hemorrhagic Fever Incidents Distribution and Dengue Virus Detection in Tanjung Priok Sub-District, DKI Jakarta
Authors: Dwiyanthi Kadek Lia , Setiani Onny , Adi Mateus Sakundarno
Published: February 2024

In order to prevent the occurrence of dengue hemorraghic fever (DHF) outbreaks in Tanjung Priok District, it is necessary to confirm mosquito is infected with the Dengue Virus. In addition, spatial analysis map of the distribution of DHF incident based on population density as a basis for targeted and effective vector control. This study was conducted in January-July 2023, with the sample of respondents from the population of DHF patients. This study was a descriptive cross sectional study design. Coordinate data for DHF patients was taken from the patient's houses and then analyzed spatially using ArcGIS software. Mosquito eradication practice data was collected using direct measurement methods and interview observations and statistical analysis. Dengue virus detection in Ae. aegypti using the Real Time-PCR technique. Variables related to the incidence of DHF were the habit of hanging clothes and the using mosquito repellent (p- <0.05). In all sub-districts in Tanjung Priok, output results with different Z-scores were obtained but with the same pattern, namely clustered pattern. Transmission of DHF incident that occur within a radius of 500-1000 meters from the coordinates of each case allows it to spread to other sub-districts. No Dengue virus was found in the Ae. aegypti mosquito samples.
Analisis Faktor Lingkungan yang Mempengaruhi Keberadaan Tikus Positif Bakteri Leptospira sp. di Kota Kendari
Authors: Arasy Andi Arahmadani , Nurjazuli  , Adi M. Sakundarno
Published: February 2024

Tikus memiliki potensi penularan Leptospirosis ke manusia. Kejadian leptospirosis di Provinsi Sulawesi pada tahun 2017 terdapat 2 kasus suspek kejadian leptospirosis di Desa Silea Kecamatan Buke Kab. Konawe Selatan yang berbatasan langsung dengan kota Kendari dan suspek leptospirosis tersebut akhirnya meninggal dunia. Tahun 2022 kasus suspek kejadian leptospirosis kembali bertambah menjadi 4 kasus, data ini berdasarkan pemeriksaan laboratorium yang menunjukkan positif leptospirosis Kota Kendari. Tujuan penelitian ialah mengetahui faktor lingkungan yang mempengaruhi keberadaan tikus diantaranya keberadaan sampah, suhu, kelembaban udara, genangan air, kondisi selokan dan identifikasi bakteri Leptospira sp pada tikus yang tertangkap.

Metode: Desain penelitian ini adalah cross sectional. Pengumpulan hasil observasi dan pemeriksaan bakteri leptospira pada ginjal tikus di lakukan dengan menggunakan PCR Portable sedangkan untuk penentuan jenis serotipe leptospira dilakukan dengan uji MAT (Microscopic Agglutination Test).

Hasil: Hasil penelitian ini menemukan bahwa variabel suhu (ρ = 0,014), variabel kelembaban (ρ = 0,035), variabel keberadaan sampah dan kondisi selokan (ρ = 0,000) yang dapat diartikan bahwa ada hubungan antara beberapa faktor lingkungan tersebut dengan keberadaan tikus positif bakteri Leptospira sp. Sementara itu, pada variabel genangan air (ρ = 0,281) yang disimpulkan bahwa tidak ada hubungan antara genangan air dengan keberadaan tikus dengan positif bakteri Leptospira sp.

Simpulan: Ada hubungan antara suhu, kelembaban, keberadaan sampah, dan kondisi selokan dengan keberadaan tikus positif bakteri leptospira sp. di Kota Kendari tahun 2023. Sebaiknya masyarakat di Kota Kendari untuk lebih memperhatikan kebersihan lingkungan tempat tinggal.
Badewo Kayangan in Okura Pekanbaru Community from Treatment Rituals to Aesthetic Dance: Ecotourism
Authors: Yenni Afri , Agustina
Published: February 2024

This research aims to explain the form and function of Badewo Kayangan as a healing ritual in the past and present for the people of Tebing Tinggi Okura. This research is qualitative research with a descriptive approach that understands the phenomenon of the research subject. The data in this research is information obtained through various sources, both sources obtained directly through interviews with sources who know about the Badewo Khayangan dance, video recordings, photographs, and data in the form of documentation. Apart from this data, it is also supported by data in the form of notes obtained during observations. The research findings are that Badewo Kayangan was originally a healing ritual used to cure various diseases, including those caused by supernatural forces in the Okura High Cliff area. As time went by, people began to ask Wak Damai to change Badewo Kayangan into the Badewo Kayangan dance. The movements contained in Badewo Kayangan are combined with new elements and realized in the form of a dance performance known as the Badewo Kayangan dance. Badewo Kayangan has two main roles, namely as a traditional healing ritual and as a means of performing arts or entertainment. By considering the potential of the Badewo Kayangan Tebing Tinggi Okura dance as a local cultural asset, this dance has the potential to become part of the tourism industry based on culture.
Development of Teaching Materials Assisted by the Kvisoft Flipbook Maker Application to Improve Students Critical Thinking Skills
Authors: Muhammadi Muhammadi , Yulianti Niki
Published: February 2024

The PBL approach must be used in the creation of instructional materials for class III primary schools, utilizing the Kvisoft Flipbook Maker application. This study employs a new design for development research, or R&D, which proceeds through the following processes to arrive at the ADDIE model: analysis, design, development, implementation, and evaluation. Students in class III at SDN 01 Campago, SDN 03 Limo Badak, and SDN 10 Sasai Kandang in the Malalak District of the Agam Regency served as the research subjects. The results obtained from the standard validity analysis were "very valid" with an average media expert assessment of 91. 8%, material expert assessment 90.175% and language expert assessment 83.33%. From the practicality testing, educators received an assessment of 95.27% with the criteria "very practical". In summary, the creation and application of instructional materials utilizing the PBL paradigm in class III elementary schools, based on the Kvisfot flipbook maker program, satisfies the requirements for validity, practicality, and effectiveness.
ChatGPT for the Future of Science Learning: A Systematic Literature Review
Authors: Saragih Yuliarman , Nurhuda Pradicta , Sudirman Sudirman , Indriati Gustina , Susanto Nugroho
Published: February 2024

The rapid era of technological development has had a major impact on the world of education. At least the challenges faced by the education sector are related to the use of Chat GPT artificial intelligence in the science learning process. Through science education, students can engage in the impact of science in everyday life and the role of students in society. The provision of quality science education will have an impact on the development achievements of a country. for this reason, research was carried out. The purpose of the research is to explain ChatGPT for the Future of Science Learning. A review is conducted on the state-of-the-art methods using the preferred reporting items for reviews and meta-analyses (PRISMA) guidelines We must know and practice changes in education and learning patterns at all levels of education by describing the characteristics of learning that are currently needed. The results of this research show that in science learning there are several main domains on which the learning objectives using the science approach pattern are based on the advantages of this approach. GPT chat can be used to get answers to various problems and questions, providing precise and fast responses. GPT chat plays an important role in shaping the science learning system of the future. Many benefits have been found from GPT chat in science learning.
Sustainability Awareness Profile of Locational School Students Through ESD-Oriented Project Based Learning
Authors: Khoiri Nur , Hayat M. Syaipul , Siskawati Dyah
Published: February 2024

Education in Indonesia seeks to realize sustainable development through the implementation of ESD in Vocational High Schools (SMK). Even though ESD has been attempted in Indonesia, especially in the world of vocational school level education, based on the results of observations in the field, it turns out that learning in the classroom is still not fully directed towards Sustainable Development Education, even though it can actually be integrated well, for example in the science and technology project learning. ESD is very important in building students' mindset and lifestyle in the present and future, so this research was carried out to obtain more concrete information regarding students' sustainability awareness profiles through the integration of ESD in the science project learning, which is deemed to be beneficial. supporting students' sustainability awareness. The researcher carried out a quantitative research approach using the Oneshot case study method through a survey with a random sample of 482 students in 2 vocational schools in Semarang Regency online using a Descriptive Analytical method. The instrument used was a questionnaire with a Likert scale (without neutral options) which was given after the learning process. Through this research, data was obtained that Sustainability Awareness (Sustainability Awareness) in the emotional and behavioral and attitude categories includes the "often done" criteria, but the practice awareness category includes the "rarely done" criteria. Based on the results of this research, it is recommended for vocational school teachers to increase students' awareness of environmental and sustainability issues through the integration of ESD concepts in all subjects as well as hands-on practical programs such as clean-up actions and the art of recycling. Involving local communities as part of the learning process and providing assistance by competent teachers in the field of ESD can also help increase sustainability awareness among vocational school students
Influence of Guided Inquiry Learning Strategies Assisted with Virtual Laboratories in Thematic Learning on The Critical Thinking Abilities of Primary School Students
Authors: Lestari Iis , Kuswandi Dedi , Sudjimat Dwi Agus
Published: February 2024

Technological developments in the world of education are very rapid, requiring education to continue to have innovation and renewal in learning approaches to be able to produce generations or highly competitive human resources who are able to have critical thinking skills. The purpose of this research is to determine the differences in critical thinking abilities between students who are taught using a guided inquiry learning strategy assisted by a virtual laboratory and those who are taught using a guided inquiry strategy without the assistance of a virtual laboratory in thematic learning in class V elementary school. This type of research is quasi-experimental, while the research design used is nonequivalent control group design. The sampling technique uses nonprobability sampling with a saturated sampling technique. Meanwhile, the instrument in this research is a test. The results of the research through hypothesis testing using the t test with a significance level of 5%, show that the >  (3,283 > 2,712) and the significant value shows sig < 0.05 (0.002 < 0.05), then  is rejected and  is accepted, so it can be concluded that there is differences in critical thinking abilities between students who were taught using guided inquiry learning strategies assisted by virtual laboratories and those taught using guided inquiry strategies without virtual laboratory assistance in thematic learning in class V of elementary schools
Design of a Culinary Information System at Piksi Ganesha Polytechnic Using the Waterfall Method
Authors: Alexandra Argian Dico , Al-Farizy Nur Fany , Rivatunisa Cyntia
Published: February 2024

The rapid development of the culinary industry demands increased efficiency and effectiveness in information management at Piksi Ganesha Polytechnic. This research aims to design a Culinary Information System using the Waterfall Method to ensure the development of a structured and organized system. The initial stage of research involves analyzing the needs of stakeholders, such as students, lecturers, and administration. This analysis becomes the basis for designing a system that meets user needs and expectations. The design process is carried out in stages, starting from overall system design, database, and user interface, to application business logic. System implementation is carried out after the design is complete, ensuring that each stage has been properly verified and validated. System testing is carried out thoroughly to ensure system quality and reliability. The results of this research indicate that the Waterfall Method provides a solid and structured framework for the development of Culinary Information Systems. Complete documentation, good risk management, and a focus on quality help ensure successful system implementation. Its suitability for stable projects makes it the right choice for the development of a Culinary Information System at Piksi Ganesha Polytechnic. The conclusions of this research contribute to further understanding of the application of the Waterfall Method in the context of information system development in educational institutions.
DEVELOPMENT OF VIDEO LEARNING MATERIALS ON ANIMAL AND HUMAN MUSCULAR ORGANS
Authors: Elma Elma , Hendra Nelva Saputra  , Ilcham Ilcham
Published: February 2024

Today's students grow and develop in the digital era, where access to various information via electronic media has become commonplace. Therefore, the development of learning videos is not only relevant but also an urgent need to answer the characteristics of this digital generation. This research aims to create learning videos on animal and human movement organs that are suitable for use in learning. This research is development research that uses the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. Based on the presentation of research results, information was found that learning videos on animal and human movement organs were declared suitable for use in learning with an average percentage of 85.83% from media experts, 91.66% from material experts, and 87.5% of student responses in the category worthy. These findings highlight the importance of integrating technology in education to facilitate more effective learning. Therefore, adjusting the curriculum and developing learning materials that support using video as an educational tool is necessary. Apart from that, aspects of technology accessibility and affordability need to be paid attention to so that the benefits of video-based learning can be felt equally by all students.
Village Asset Mapping for The Development of Rawabogo Tourism Village
Authors: Indratno Imam , Chamid Chusarini , Judiantono Tony , Syam Husni , Zyanasya Siti Al , Sonya Vernanda M , Yuniar Nurrhisma , Zulfikar Muhamad D
Published: February 2024

In developing a tourism village, one of the absolute conditions that must exist is the existence of natural potential, socio-cultural potential, and the creativity of local communities as assets that can be explored and developed. Rawabogo Village is designated as a tourist village because it has natural potential in the form of Mount Nagara Padang and community agricultural and plantation activities. However, besides this potential, there is another potential owned by Rawabogo Village, but its existence has not been explored optimally. The purpose of conducting this research is to identify further related possibilities of Rawabogo Village, which can be explored through a set mapping, so that an effort can be formulated in the development of Rawabogo Tourism Village. This study used a qualitative descriptive approach with data collection techniques from interviews and direct observation. The results of the asset mapping show that the village of Rawabogo has a diversity of assets, not only in nature but also socially and culturally, that can be explored and developed because of its values and character. The results of asset mapping in the development of Rawabogo Tourism Village propose to implement community-based tourism development.
Inter-Village Network Of Joint Village-Owned Enterprises For Local Economic Empowerment
Authors: Tarlani Tarlani , Rochman Gina Puspitasari , Akliyah Lely Syiddatul , Firdaus Adhyasta , Shoobiha Haifa Aulia , Fajar Rifqi
Published: February 2024

Villages as the frontline of poverty alleviation are required to adapt and be able to utilize the information and communication technology. The Joint Village Owned Enterprise (BUMDesma) Panca Mandala innovates through the development of technology-based business units in the fields of information technology, animal husbandry, and agriculture. This study aims to identify inter-village networks as part of local economic empowerment efforts. This study uses a qualitative approach with data collection using interviews and institutional surveys (purposive sampling) and data analysis using qualitative descriptive analysis methods. There are 16 key informants, namely stakeholders who have a relationship with BUMDesma, managers, village officials, and the village society. Study results show that the inter-village network is built on the initiative of the community who are aware of the gap in the economic condition of the village community and can take advantage of digital gap opportunities. The inter-village network is built by villages that have the same goals and funding capabilities for their respective BUMDes. The networks are not only formed between villages, but also with external parties. The inter-village network was built because of local economic empowerment and development. Meanwhile, external networks are formed for the development of innovation and utilization of business units.
The Empirical Study On Algorithm Optimization In Expert Systems For Diagnosing Rice Plant Diseases
Authors: Habib Ahmad , Sunan Muhamat , Koesdijarto Roenardi , Sajiyo Sajiyo , Ronando Elsen
Published: February 2024

Rice is one of the most important cultivated plants for human survival. The activity of cultivating rice plants becomes a livelihood for most of these residents, so the success rate of the amount of rice harvested becomes very important because they depend on how much rice can be harvested, disease diagnosis is very important for farmers, this is very important to reduce economic losses due to diseases that cause crop failure. Therefore, when dealing with rice diseases, an expert is needed to make diagnoses or solutions to rice diseases. However, an expert does not know when to come to the village, and farmers also do not understand all rice diseases. Therefore, a web-based expert system application using the forward chaining method is proposed to represent an expert to help farmers diagnose and solve diseases of rice plants with existing symptoms.
Augmented Rice Plant Disease Detection with Convolutional Neural Networks
Authors: Hairani Hairani , Widiyaningtyas Triyanna
Published: February 2024

The recognition and classification of rice plant diseases require an accurate system to generate classification data. Types of rice diseases can be identified in several ways, one of which is leaf characterization. One method that has high accuracy in identifying plant disease types is Convolutional Neural Networks (CNN). However, the rice disease data used has unbalanced data which affects the performance of the method. Therefore, the purpose of this research was to apply data augmentation to handle unbalanced rice disease data to improve the performance of the Convolutional Neural Network (CNN) method for rice disease type detection based on leaf images. The method used in this research is the CNN method for detecting rice disease types based on leaf images. The result of this research was the CNN method with 100 epochs able to produce an accuracy of 99.7% in detecting rice diseases based on leaf images with a division of 80% training data (2438 data) and 20% testing data (608 data). The conclusion is that the CNN method with the augmentation process can be used in rice disease detection because it has very high accuracy.
Smart Drip Irrigation System Based on IoT Using Fuzzy Logic
Authors: Walid Miftahul , Ashar Muhammad , Wahyudi Muhammad Hasan
Published: February 2024

The absence of a water drip rate control system in drip irrigation systems has impacted water use efficiency and normalization of soil moisture. Therefore, this research aims to develop an intelligent system using the fuzzy logic method to control the rate of water droplets in a drip irrigation system and maintain soil moisture in normal conditions. The DHT22 sensor is used to obtain temperature and humidity values, which are then used as input data and processed by the ESP32 microcontroller, which includes a fuzzy system. The Internet of Things (IoT) is also used to send data from the microcontroller to the Thingspek web server. The Blynk application is used to make it easier to monitor temperature, humidity, and water droplet rate values. The results of this research show that the temperature accuracy values produced using the MSE evaluation were 6.66667 and RMSE were 2.58199, while for temperature, the values for MSE were 0.128333 and RMSE were 0.358236. The average value of soil moisture produced in the planting medium is 44.46%; this value is within normal conditions for chili plants, where normal soil moisture conditions range between 40% - 60%
Urban green space optimization in Sorong City of Southwest Papua Province based on environmental carrying capacity and environmental capacity
Authors: Arnold Idie  , Rudi Aprianto Maturbongs  , Benidiktus Tanujaya  , Jonni Marwa
Published: February 2024

Immediate action is required to optimize the urban green open spaces in Sorong City to meet the obligation of increasing the baseline from 8.21% to 32.96%. The process will involve several stakeholders, including the Regional Government of Sorong City and Southwest Papua Province, Vertical Institutions, University of Papua, Development Partners, Indigenous Peoples, Media, and Private Parties. Upon evaluating the starting conditions in Sorong City, it is observed that the Environmental Quality Index (EQI) value stands at 58.96, indicating a sufficient category. This is mainly attributed to the detrimental impact of river water pollution (Water Quality Index, WQI) and the diminished coverage (Forest Cover Index, FCI) resulting from various commercial activities in metropolitan areas. Given the escalating climate change and the rise in hydrometeorological disasters, particularly heavy rainfall, erosion, and landslides, Sorong City must maximize the utilization of open green spaces (GOS). By improving the GOS, it was found that the Sorong Green Index (SGI) value was 94.77 in the outstanding category. In addition, utilizing the POAC approach for management analysis, it is imperative to promptly take necessary measures for various functions that are now inactive. The parties are expected to fulfill the task of job tagging and budget tagging to establish regional action plans.
Does the environment really benefit from the vehicle verification program?... truth or utopia
Authors: Rivera A  , De Ita-Valencia A
Published: February 2024

Regarding the objective raised here in relation to the analysis of the situation of the programs involved with vehicle verification, its implications and especially if there is a benefit to the environment, it is perceived that the situation of environmental pollution is an issue that should involve everyone the actors of society, that is, the population itself must contribute with its obligations and educate from home to guarantee harmony in relation to public policies related to the care of the environment. The role of schools, at their different levels, must also be an essential driving force to contribute to the education received at home and thus reinforce knowledge in future generations, which will bring socio-environmental benefits. What can we say about the role of governments that have an effective participation in the promotion of programs that benefit the environment and consider the research that is developed in educational institutions at the undergraduate and graduate levels to implement it for the benefit of the environment. Since mitigating the effects of pollution and public health must always be a priority.
Reviewing employee well-being and mental health initiatives in contemporary HR Practices
Authors: Oluwafunmi Adijat Elufioye  , Ndubuisi Leonard Ndubuisi  , Rosita Ebere Daraojimba  , Kehinde Feranmi Awonuga  , Latifat Omolara Ayanponle  , Onyeka Franca Asuzu
Published: February 2024

Contemporary Human Resource (HR) practices are witnessing a paradigm shift with an increased focus on employee well-being and mental health. This paper reviews the evolving landscape of HR initiatives designed to promote and support employee well-being in the workplace. As organizations recognize the profound impact of mental health on employee performance, engagement, and overall organizational success, a strategic integration of mental health initiatives into HR practices is becoming paramount. The paper explores the multifaceted nature of employee well-being initiatives, encompassing flexible work arrangements, comprehensive health and wellness programs, and destigmatizing mental health conversations within the workplace. Contemporary HR professionals are leveraging technology and data analytics to tailor well-being programs, ensuring a personalized approach that addresses the diverse needs of employees. Moreover, the paper delves into the role of leadership in fostering a supportive and inclusive work environment conducive to employee well-being. Organizations are increasingly recognizing that a culture of open communication, empathy, and proactive mental health support from leadership is instrumental in creating a psychologically safe workplace. The review also acknowledges the challenges organizations face in implementing effective well-being initiatives, such as addressing the stigma associated with mental health, measuring program effectiveness, and ensuring accessibility for all employees. As contemporary HR practices evolve, the paper emphasizes the importance of ongoing evaluation, feedback mechanisms, and continuous improvement in mental health initiatives to create workplaces that prioritize the holistic well-being of their employees. In conclusion, the paper highlights the imperative for HR practices to proactively address employee well-being and mental health, recognizing these initiatives as integral components of a progressive and people-centric organizational culture.
AI in supply chain optimization: A comparative review of USA and African Trends
Authors: Akoh Atadoga  , Ogugua Chimezie Obi  , Femi Osasona  , Shedrack Onwusinkwue  , Andrew Ifesinachi Daraojimba  , Samuel Onimisi Dawodu
Published: February 2024

The integration of Artificial Intelligence (AI) in supply chain management has emerged as a critical driver of efficiency and competitiveness in global markets. This paper provides a comparative review of AI trends in supply chain optimization between the United States and African regions, shedding light on the unique challenges and opportunities faced by each. In the United States, AI adoption in supply chain optimization has been robust, with a focus on predictive analytics, machine learning, and advanced automation technologies. American companies leverage AI to enhance demand forecasting, optimize inventory management, and streamline logistics processes. The integration of AI-driven solutions has allowed U.S. businesses to achieve higher accuracy in demand predictions, reduce lead times, and minimize operational costs. Furthermore, the use of AI algorithms in route optimization has significantly improved delivery efficiency, leading to enhanced customer satisfaction. Contrastingly, African countries are experiencing a more gradual but steadily increasing adoption of AI in supply chain optimization. Limited access to advanced technology infrastructure, coupled with resource constraints, has posed challenges for African businesses. However, innovative approaches are being explored, such as the use of mobile technologies and cloud-based solutions to overcome infrastructure limitations. AI applications in African supply chains focus on improving visibility, minimizing waste, and ensuring timely delivery. The continent's diverse supply chain landscape, encompassing agriculture, mining, and manufacturing, presents a unique set of challenges that AI aims to address. Both the United States and African nations recognize the potential of AI to transform supply chain management. While the U.S. is at the forefront of AI implementation, Africa is forging ahead with tailored solutions that align with its specific context. Collaboration and knowledge exchange between these regions could pave the way for a globalized approach to AI in supply chain optimization. This review underscores the importance of understanding regional nuances in adopting AI technologies, fostering collaboration for mutual benefit, and advancing the global evolution of AI-driven supply chain management.
Review of climate change impact on water availability in the USA and Africa
Authors: Emmanuel Augustine Etukudoh  , Valentine Ikenna Ilojianya  , Olushola Babatunde Ayorinde  , Cosmas Dominic Daudu  , Adedayo Adefemi  , Ahmed Hamdan
Published: February 2024

This research paper reviews the impact of climate change on water availability in the USA and Africa. Global climate change trends reveal rising temperatures, altered precipitation patterns, and increasing extreme events, all influencing water resources. The diverse regional contexts in the USA encompass issues such as prolonged droughts, changing snowmelt patterns, and coastal vulnerabilities. In Africa, heightened susceptibility arises from dependence on rain-fed agriculture, contributing to increased aridity and intensified rainfall. Temperature changes and precipitation patterns emerge as critical factors influencing water availability, necessitating adaptive strategies. Both regions implement water conservation, infrastructure development, sustainable practices, and broader policies addressing emission reduction and community-based adaptation. Policy implications underscore the need for integrated water resource governance, climate-resilient infrastructure, and international collaboration. This review provides a nuanced understanding of the complexities involved, offering insights for effective adaptation and mitigation measures in the face of evolving climate challenges.
THE EFFECT OF APPLICATION OF SLEEP TRAINING METHODS WITH POSITIVE ROUTINES ON THE QUALITY OF SLEEP OF INFANTS AGED 3-4 MONTHS AT THE VILLAGE HEALTH CENTRE MULYOGAGUNG - DAU MALANG DISTRICT
Authors: Sri Purwanti Anik , Cantika Nabilla Anggita , Maulina Rifzul
Published: February 2024

Factors affecting the growth and development of babies include sleep and rest. The quality of a baby's sleep is influenced by various factors such as the environment, nutrition, illness, and physical activity. This study aimed to investigate the impact of positive sleep training methods on the sleep quality of 3-4-month-old babies at the Mulyoagung Village Health Post. The study involved a population of 50 babies, with a sample of 36 babies. Data was collected through pre-test and post-test questionnaires, and the analysis involved univariate methods like frequency distribution and bivariate methods like Wilcoxon. The research demonstrates the changes by implementing positive sleep training for babies aged 3-4 months at the village health post in Mulyoagung. The results of the Wilcoxon test showed a significant result of 0.000 (p 0.005), indicating that the implementation of positive routine sleep training methods influenced the sleep quality of babies aged 3-4 months. It is recommended that parents use positive routine sleep training methods to enhance the bond between babies and their parents.
THE IMPACT OF “5M PLUS” HEALTH EDUCATION WITH LEAFLETS ON THE PREVENTIVE KNOWLEDGE OF DENGUE FEVER INCIDENCE IN STUDENTS OF SMPN 01 PAKISAJI PAKIS DISTRICT
Authors: Oriska Oktaviani Olvy , Masluhiya AF Swaidatul , Mazarina Devi Hilda
Published: February 2024

Dengue hemorrhagic fever (DHF) is caused by a combination of agent, environment, and host (human) factors, with humans playing a crucial role in preventing DHF through knowledge of 5 M Plus. This study aimed to assess the influence of 5M health education plus leaflets on the preventive knowledge of DHF incidents in students of SMPN 01 Pakisaji, Pakis District, Malang Regency. The study used a pre-experimental design with a one-group pre-post test. The study population comprised 212 class VII students of SMPN 01 Pakisaji, with a total sample of 138 students selected using quota sampling. The independent variable was 5M Plus health education with leaflet media, while the dependent variable was knowledge of DHF prevention. The instrument used was a knowledge questionnaire on the prevention of DHF events. Data analysis was conducted using the marginal homogeneity test, which revealed improved DHF preventive knowledge after receiving 5 M plus health education, shifting from the less category (51.4%) to the excellent category (52.9%). The study found a significant effect of 5M plus health education with leaflets on the preventive knowledge of DHF events in class VII students of SMPN 01 Pakisaji, Pakis District, Malang Regency, with a p-value of 0.000. It is anticipated that students will be able to apply 5 M Plus in both family and school environments
EFFECTIVENESS OF ACCOMPANIMENT FOR ADOLESCENTS AND PREGNANT WOMEN WITH ANEMIA: ENDEAVORS IN EARLY STUNTING SCREENING DURING THE FIRST 1000 DAYS OF LIFE
Authors: Maria Desi Nina , Izah Nilatul
Published: February 2024

The 2022 Indonesian Nutritional Status Study survey reveals that the prevalence of stunting among children under five was 21.6%. In Central Java province, the rate was 20.8%, while in Brebes Regency, it reached 29.1% (the highest in Central Java). Stunting poses a significant nutritional challenge affecting the growth and development of young children. This issue is linked to factors such as malnutrition in pregnant women, adolescents, and nursing mothers, as well as the presence of infectious diseases in mothers. The well-being of young women is crucial, as they will become the next generation of parents, shaping the nation's future. By 2030, an estimated 68% of Indonesia's economic support will come from individuals of productive age, including current adolescents who will soon become parents. This cross-sectional observational study aimed to assess the effectiveness of assisting adolescents and pregnant women with anemia as an early stunting screening initiative. The data collection involved checking hemoglobin levels in adolescents and pregnant women, assisting those with anemia for 30 days, and then re-evaluating their hemoglobin levels. Univariate frequency distribution analysis indicated increased hemoglobin levels among adolescents and anemic pregnant women. Chi-square analysis resulted in a p-value of 0.04, suggesting that assisting adolescents and pregnant women as an early stunting screening effort effectively addresses anemia.
THE RELATIONSHIP BETWEEN SOCIOECONOMIC STATUS AND THE INCIDENCE OF STUNTING IN NGALANG GUNUNGKIDUL
Authors: Dewi Fitriani Fifin , Sunarsih Tri
Published: February 2024

Stunting is one of the nutritional status cases experienced by most toddlers worldwide. WHO 2020 revealed that Indonesia is the second country in Asia with the highest prevalence of 31.8% of stunting problems in toddlers. Several factors cause toddlers to experience stunting, including indirect factors, namely socioeconomic status. The socioeconomic status of the residents of Ngalang on the incidence of stunting toddlers aged 12-60 months was found to be 40 toddlers short and 6 toddlers very short. This study was conducted to determine the relationship between socioeconomic status and the incidence of stunting in Ngalang Gunungkidul. This type of quantitative research uses a cross-sectional design. Population 85 parents of toddlers 12-60 months with stunting conditions. The sample was obtained using the Solvin method: 46 parents of stunted toddlers who met the inclusion criteria. After the Spearmen rho test was obtained, many members in the family p=0.019; of many children of the family, p=0.010, the father's educational status is p=0.058, the mother's educational status is p=0.025, and the monthly income in the family p=0.023. There is Stunting is a prevalent nutritional issue among toddlers globally. The results showed a significant relationship between family size, number of children, mother's educational status, family income, and stunting in toddlers. However, no significant relationship was found between the father's educational status and stunting, suggesting the need for further research on the father's role. Preventative measures include participating in premarital classes and prioritizing a child's growth and development through proper nutrition, parenting, healthcare, and environmental sanitation.
Evaluating the Usefulness of Least Squares Regression in Petrophysics Interpretation
Authors:   Etnyre Petrophysical, Etnyre Lee
Published: February 2024

This paper is to update the information provided in the author’s previous papers on evaluating the uncertainty in least squares results. It is prompted by new information that shows that the usefulness of any least squares result cannot be guaranteed by conventional statistics (such as R-squared, F-statistic, or standard error of the regression, sigma). A new method based on the singular value decomposition (SVD) of a matrix, when accompanied by a Relative Error Bound (REB) on the estimated parameters, provides the user with a tool that can better assess the usefulness of any least squares result. Another important aspect of the REB is that it provides the user of the SVD method with a powerful tool for judging which is the best among several candidate solutions. In addition, it provides the user with a numerically stable method of computing the data ordinarily provided by principal component regression by eliminating the need to perform an eigenvector-eigenvalue analysis of an ATA matrix. This is of particular interest because forming the ATA matrix is often accompanied by a loss of data. The new method also provides the user with an improved method for selection of which principal components should be retained for a given problem.
Study on Rock Mechanics Parameter Prediction Method Based on DTW Similarity and Machine-Learning Algorithms
Authors:   CNOOC Research Institute Company Limited, Cai Wenjun , Ding Jianqi ,   Petroleum Engineering College, China University of Petroleum (Beijing), Li Zhong ,   CNOOC Research Institute Company Limited, Yin Zhiming ,   CNOOC Research Institute Company Limited, Feng Yongcun ,   Petroleum Engineering College, China University of Petroleum (Beijing)
Published: February 2024

Rock mechanics parameters are crucial factors for predicting rock behavior in oil and gas reservoirs, optimizing extraction strategies, and ensuring drilling safety. In this study, we propose a random forest (RF)-convolutional neural network (CNN)-long-term short-term memory network (LSTM) fusion model based on the dynamic time warping (DTW) algorithm to construct intelligent prediction models for elastic modulus, Poisson’s ratio, and compressive strength using real-time drilling engineering data. An autoencoder with a sliding window is employed to automatically identify abnormal points or segments in the calculated values of elastic modulus, Poisson’s ratio, and compressive strength obtained from drilled wells. These abnormal values are then corrected using a backpropagation (BP) neural network. Compared to single CNN-LSTM or single RF models, the RF-CNN-LSTM fusion model performs better. It achieves this by effectively combining the strengths of different algorithms in predicting outcomes. The accuracy of the RF-CNN-LSTM fusion model is over 94% when compared to the actual values. Furthermore, the analysis of the relative importance of input parameters reveals that weight on bit (WOB), temperature, displacement, equivalent circulation density (ECD), and mud density are the primary input features for predicting elastic modulus. For predicting Poisson’s ratio, the main input features include WOB, mud density, ECD, temperature, pumping pressure, displacement, and rate of penetration (ROP). Similarly, for predicting compressive strength, the main input features consist of WOB, temperature, displacement, ECD, and mud density. The research findings demonstrate that the rock mechanics parameter prediction models based on the RF-CNN-LSTM algorithm using DTW exhibit high computational accuracy in the B oil field of China. These results are significant for gaining a deeper understanding of the variations in rock mechanics parameters and optimizing drilling decisions.