bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancement of solar energy utilization through an artificial neural network controller featuring a dynamic learning rate in conjunction with an ultra-lift Luo converter
Authors: Kasim Ali Mohammad  , Sarhan M. Musa
Published: August 2024

With the growing need for sustainable energy solutions, optimizing photovoltaic (PV) systems becomes crucial. PV systems, while effective, are subject to efficiency fluctuations due to varying irradiance and temperature, posing significant challenges in maintaining optimal performance. This study explores the enhancement of PV systems by integrating an Ultra Lift Luo (ULL) converter with an Artificial Neural Network (ANN) controller using a dynamic learning rate. The ULL converter, known for its high voltage conversion gain, is suitable for various load requirements in PV systems. The ANN controller, equipped with a dynamic learning rate, adapts in real-time to changes in environmental conditions, ensuring superior performance compared to static learning rate methods. This dynamic approach allows the ANN to efficiently manage non-linear and variable inputs from the PV cells, optimizing the Maximum Power Point Tracking (MPPT) process. Our research involved simulating the PV system model using MATLAB/Simulink, incorporating the ULL converter and ANN controller using dynamic learning rate. The study compared the performance of the ANN controller with dynamic learning rate against a static learning rate approach, using 201 data samples for training. The dynamic learning rate not only enhances adaptability but also provides more stable voltage and power outputs under varying irradiance and temperature conditions. These results demonstrate the potential of dynamic learning rates in optimizing PV system performance, highlighting their role in advancing renewable energy technologies.
Prescription pattern and appropriateness of antibiotics in the management of cough/cold or respiratory disorders
Authors: Mohd Abid  , Mohd Vaseem  , Mohd Farhan  , Rumana Siddique  , Arsha Zubair  , Yusra Fatima  , Abusehma  , Mohd Haris
Published: August 2024

Objective: This study aims to assess the prescribing patterns and appropriateness of antibiotics in treating cough/cold and diarrhea in children. Given that infants and children are highly vulnerable to illnesses, the objective focuses on analyzing the types and appropriateness of antibiotics prescribed by healthcare professionals. Methods: The study involved analyzing the prescriptions of pediatric patients diagnosed with cough, cold, respiratory, and gastrointestinal diseases. The analysis focused on the types of drugs, particularly antibiotics, prescribed for these conditions. Results: The study found that baby girls are more susceptible to colds and coughs than boys, with infants aged 0 to 2 being particularly affected, likely due to improper care and winter exposure. Respiratory and gastrointestinal issues emerged as the most prevalent health concerns among pediatric patients, with cough and cold accounting for 33.3% of cases, highlighting a significant issue with upper respiratory tract infections. A high frequency of antibiotic prescriptions was observed, especially cefixime and amoxicillin, which are often irrationally prescribed for viral infections like the common cold. Conclusion: Respiratory and gastrointestinal disorders are the most common issues among pediatric patients, with upper respiratory tract infections being particularly prevalent. The study identified a concerning trend of irrational antibiotic prescriptions, especially for viral infections such as the common cold. The findings call for improved prescribing practices to ensure antibiotics are used appropriately and only when necessary, emphasizing the need for evidence-based treatments to enhance patient safety and public health outcomes
Analysis of dumpsites and their potential health risks to residents of Jahi District, Federal Capital Territory (FCT), Nigeria
Authors: Amina Abubakar Nasir  , Okon Ekpo Ebeiyamba  , Caleb Odiji  , Binta Ahmad  , Epsar Philip Kopteer  , Sumaiyat Kpanja Abdullahi  , Kamila Abba Tukur  , Vivian Aaron Ibrahim  , Rukkaya Musa  , Philip Okoh Amodu
Published: August 2024

Open uncontrolled solid waste disposal has become prevalent in Nigeria due to economic limitations, inefficient organizational frameworks, inappropriate technology, unplanned development, and insufficient waste management capacity. This improper waste management has led to numerous health problems in the environment. The study aimed to identify the locations of dumpsites within the study area and their proximity to residents. Spatial data was collected using GPS, a camera, Google Earth, and Google Maps, while questionnaires were administered using a random sampling technique. Geospatial techniques were used to determine high-risk areas for health issues. Buffer analysis, using the proximity tool at distances of 30m, 50m, and 70m based on field observations and measurements, revealed that residents living within 30m of dumpsites reported a high presence of disease vectors and the highest incidence of vector-borne diseases such as malaria, diarrhea and dysentery. They also experienced pollution from foul odors and smoke from burning waste. Disease incidences decrease with distance from the dumpsites, with those living 50m away experiencing fewer diseases and those at 70m having the least occurrences. The study concludes that dumpsites in neighborhoods pose significant health risks to the community. It recommends establishing a standard transfer station at a suitable location in the study area and evacuating the existing dumpsites.
Juridical analysis of excessive diagnostic code writing (upcoding) reviewed from the regulation of the minister of health number 16 of 2019
Authors: Danne Maryana  , Henry Aspan
Published: August 2024

The Indonesian government created a system in an effort to achieve health insurance for all Indonesian people, namely the National Social Security System (SJSN). The National Health Insurance Program (JKN) is a manifestation of the implementation of Law Number 36 of 2009 concerning Health. The Social Security Administering Body (BPJS) for Health as the manager of the JKN program is regulated in Law Number 24 of 2011 concerning the Social Security Administering Body. The Social Security Administering Body (BPJS) for Health uses the latest version of INA-CBG's (Indonesia Case Based Groups) rates, namely version 4.0, in the National Health Insurance (JKN) payment pattern. The INACBG rate really depends on the diagnosis made during the patient's treatment at the health service facility. In practice, doctors will establish primary and secondary diagnoses, as well as actions and examinations carried out on patients, which will then be given a diagnosis code by the medical record coder. Writing diagnosis codes is an important part of the process of managing health information in hospitals or other health service facilities. Diagnosis codes are used to record and classify patient diagnoses, making it easier to manage patient data, provide medical care, research, and also insurance claims. Inaccuracy of diagnosis codes will have an impact on health service costs. Related to this, if the coder is not precise and accurate in codifying the disease, it will have an impact on the quality of claim payments. Upcoding is changing a diagnosis and/or procedure code to a code that has a higher rate than it should. There are several factors that cause upcoding to occur. It is important for Follow-up Referral Health Facilities (FKRTL) to take preventive measures to prevent Upcoding from occurring through the efforts mentioned in PMK No. 16 of 2019. If Upcoding or other types of circumstances (Fraud) occur, the authorized agency can impose administrative sanctions starting from verbal warning up to the revocation of the operational permit from the FKRTL.
Evaluation of Grafting Success and Morphological Traits of Liberica Coffee Clones MKL 1, MKL 5, MKL 6, and MKL 7 for Optimized Rootstock Selection
Authors: Ariff Merican Din Merican  , Mohd Shahril Firdaus AB Razak  , Faizah Salvana Abd Rahman  , Mohd Rani Awang  , Zaulia Othman  , Ahmad Firdaus Maznan
Published: August 2024

This study evaluated four Liberica coffee clones MKL 1, MKL 5, MKL 6, and MKL 7 for their morphological traits, grafting compatibility, and genetic characteristics to identify optimal rootstocks for coffee cultivation. Morphological analysis identified MKL 6 as the tallest clone, significantly surpassing MKL 7 in plant height, while showing comparable stem diameter and root length to MKL 1 and MKL 5. Grafting trials using MKL 8 scions demonstrated that MKL 6 achieved the highest grafting success, with a 93% success rate and an 88% survival rate 90 days post-grafting, outperforming the other clones. Molecular analysis using SSR markers revealed notable genetic variations among the open-pollinated MKL 5, MKL 6, and MKL 7 rootstocks compared to their parent plants. Despite these genetic differences, seedling performance and graft compatibility remained largely unaffected, highlighting the robustness of these clones for coffee production. The findings emphasize the importance of selecting rootstocks based on both morphological traits and grafting performance to optimize coffee cultivation practices. Future research should investigate broader genetic studies to elucidate the mechanisms underlying graft compatibility and further refine rootstock selection strategies. Additionally, exploring environmental impacts on morphological traits and genetic expression will enhance understanding of the adaptability of Liberica coffee clones across diverse agroecological conditions. This comprehensive evaluation offers valuable insights for improving coffee crop management through informed rootstock selection, contributing to sustainable and efficient coffee production systems.
Effect of experiential instructional approach on senior secondary school students’ achievements in Algebra in Ebonyi State
Authors: Anugwo Margaret Ndidiamaka  , Enyi Paul Onyebuchi  , Ugama Julius Ongele  , Egbe Irene Ogochukwu  , Okpube Michael Nnaemeka  , Ngwu Uchenna Nwigwe  , Ikporo Festus Boss  , Aleke Christian Okechukwu
Published: August 2024

Mathematics is generally considered a fundamental base for preparation to life and for functionality of every citizen of any nation in any career. Therefore, this study investigated the effect of experiential instructional approach on senior secondary school (SSS) II students’ achievements in Algebra in Abakaliki education zone of Ebonyi State. Specifically, the study determined effect of experiential instructional approach on SSS II students' mean achievement scores in Algebra, effect of experiential instructional approach on male and female SSII students' mean achievement scores in Algebra and the interaction effect of gender and methods on the SSS II students' mean achievement scores in Algebra. Three research questions and three hypotheses guided the study. The study employed a non-equivalent control group quasi-experiential design. A sample of 210 SSS II students from 4 coeducational SSS was used with their intact classes. Out of the four schools, two schools were simple randomly assigned to treatment group while the remaining two schools to the control group. Algebra achievement test (AAT) with reliability coefficient of 0.85 was the instrument for data collection. The data was analyzed using mean, standard deviation and analysis of co-variance (ANCOVA). The result revealed that students taught with experiential instructional approach achieved better than the students taught with the conventional approach with a mean of 29.89 and 24.52 respectively. The study also revealed that males taught with experiential approach showed higher achievement with a mean of 31.08 than the females with a mean of 28.34, but the difference in the mean achievement of males and females taught using the method was not statistically significant. There was no significant interaction effect between gender and instructional methods on the students’ achievement in Algebra. The study, therefore recommended that experiential instructional approach be adopted in our school system and that there is need for an urgent curriculum review to include experiential approach as a teaching method for mathematics.
Classification of MRI Brain Tumor Images using Deep Learning Segment Anything Model for segmentation and Deep Convolution Neural Network
Authors: Mani Abedini
Published: August 2024

Brain tumors pose a significant health challenge by putting pressure on healthy parts of the brain or spreading into other areas and blocking the flow of fluid around the brain. Thus, identifying and categorizing the tumor is crucial for delivering effective treatment, especially if detected early. This means the tumor is smaller, and treatment is more effective, less invasive, and has fewer side effects. In recent years, many researchers have developed computer vision, and more specifically, deep learning methods, to automate the analysis of brain MRI scans. These methods enable efficient processing and improve the accuracy of detecting small tumors. This paper aims to propose a deep-learning method for classifying brain tumors. In this work, the input image goes through two subprocesses: first, object detection to identify the tumor's location. Then, a fine-tuned Segment Anything Model (SAM) was applied to extract the lesion from the background. Finally, deep learning Convolution Neural Network (CNN), is applied to the cropped image for classification. This method will help doctors and researchers detect tumors at the initial stages
Verification of methotrexate dosage method on Alinity c Abbott automated system in the biochemistry laboratory of CHU Mohammed VI d'Oujda
Authors: Kholoud Krimi  , Asmae Kidoun  , Mohamed Karim Elazzouzi  , Sara Moulay Rchid  , Dounia El Moujtahide  , El houcine Sebbar  , Mohammed Choukri
Published: August 2024

Introduction: This work describes the verification/validation procedure for methotrexate, an anti-metabolite from the antifolate group. Ensuring accurate and reliable measurements is a primary and ongoing concern for biologists in quality management. Based on the recommendations of the technical accreditation guide for human health, SH GTA of COFRAC according to ISO 15189, we performed the verification of a microparticle immunoassay method by chemiluminescence (CMIA) for the quantitative determination of methotrexate in human serum and plasma using the Architect system. Objectives: The objective of this study was to verify the analytical method for methotrexate determination by assessing key criteria such as repeatability and reproducibility. This verification process aimed to ensure that the method meets the required standards and provides reliable and accurate results in clinical diagnostics. Results and Discussion: The verification of criteria (repeatability and reproducibility) was conducted using routine patient samples from the CHU and internal and external quality controls. The data were processed using the Middleware EVM validation module. The study of analytical performance demonstrated that repeatability conformed to the supplier's coefficients of variation (CV) and the data from learned societies (RICOS, SFBC). The results for intra-laboratory reproducibility were very satisfactory for level 1 with a CV of 3.34%, and fairly satisfactory for levels 2 and 3 with CVs of 4.74% and 4.57%, respectively. Conclusion: In conclusion, the study showed that the results obtained for the different verification criteria of methotrexate measurement on our Alinity ci system are satisfactory when compared to the supplier's data and the standards of learned societies such as SFBC. These results confirm the analytical performance of the method.
ANALISIS KADAR BESI (Fe) PADA LIMBAH NIRA AREN YANG DIBUANG KE LINGKUNGAN DENGAN METODE SPEKTROFOTOMETRI SERAPAN ATOM (SSA)
Authors: Tahapary Friend Smith , Mariwy Abraham , Untailawan Romelos
Published: August 2024

Telah dilakukan analisis kadar Besi (Fe) pada limbah nira aren dengan metode Spektrofotometri Serapan Atom (SSA) dengan tujuan untuk mengetahui jumlah kandungan logam besi (Fe) dalam limbah nira aren. Pada penelitian ini dilakukan destruksi basah dengan menggunakan aqua regia yang merupakan salah satu hasil kombinasi asam-asam mineral yaitu HNO3 pekat dan HCL pekat dengan perbandingan 1:3  Hasil penelitian ini menunjukan kandungan Besi (Fe) pada nira aren: 0,5333 mg/L, filtrat limbah nira aren: 605,8 mg/L, endapan limbah nira aren: 946,5 mg/L dan tanah: 962,3 mg/L. Angka konsentrasi ini merupakan konsentrasi yang sudah melebihi ambang batas yang telah ditentukan oleh KEP-51/MENLH/10/1995 tentang baku mutu limbah cair bagi kegiatan industri yaitu untuk besi 5-10 mg/L dan juga Peraturan Menteri Lingkungan Hidup dan Kehutanan Republik Indonensia Nomor 6 Tahun  2021 tentang tata cara dan persyaratan pengelolahan limbah bahan berbahaya dan beracun baku mutu air limbah hasil olahan konsentrasi besi terlarut yaitu 5 mg/L
PENINGKATAN KEMAMPUAN MENGENAL LAMBANG BILANGAN MELALUI BERMAIN KARTU ANGKA BERGAMBAR PADA ANAK
Authors: Ucu Murni , Salamor Reinhard , Talib Taufan
Published: August 2024

Meningkatkan kemampuan mengenal lambang bilangan 1-10 melalui bermain kartu angka bergambar anak Kelompok A RA Al Hikmah Ambon. Penelitian ini dilakukan karena terdapat permasalahan dalam kemampuan mengenal lambang bilangan 1-10 pada anak Kelompok A RA Al Hikmah Ambon. Penelitian ini merupakan Penelitian Tindakan Kelas. Subjek penelitian ini adalah anak Kelompok A RA Al Hikmah Ambon yang berjumlah 12 anak. Objek penelitian adalah kemampuan mengenal lambang bilangan 1-10. Teknik pengumpulan data dilakukan dengan menggunakan observasi. Teknik analisis data dilakukan secara deskriptif kuantitatif dan kualitatif. Penelitian ini dilaksanakan dalam 2 siklus, setiap siklus berlangsung selama 4 kali pertemuan. Hasil penelitian menunjukkan bahwa kemampuan anak mengenal lambang bilangan 1-10 meningkat setelah adanya tindakan. Hasil observasi sebelum tindakan menunjukkan bahwa anak yang memiliki kemampuan mengenal lambang bilangan 1-10 adalah 17%. Pada Siklus I meningkat menjadi 50% dan pada Siklus II telah mencapai indikator keberhasilan, yaitu 83%. Berdasarkan hasil tersebut dapat disimpulkan bahwa bermain kartu angka bergambar dapat meningkatkan kemampuan mengenal lambang bilangan 1-10 pada anak Kelompok A RA Al Hikmah Ambon
EFEKTIVITAS STRATEGI PRESENTASI HASIL DISKUSI DALAM PEMBELAJARAN TURUNAN PADA SISWA SMK N 5 MANADO DENGAN MENGGUNAKAN MODEL PIMCA
Authors: Tangel Putra Fraditya Samuel , Tumalun Nicky Kurnia , Regar Vivian Eleonora
Published: August 2024

Penelitian ini bertujuan untuk mengetahui keefektifan model pembelajaran PIMCA (Presentation, Idea Mapping, Conceptualization, and Assessment Formative) dalam pembelajaran matematika dan untuk mengetahui peningkatan hasil belajar siswa pada pembelajaran matematika khususnya materi turunan dengan menggunakan model pembelajaran PIMCA. Penelitian ini menggunakan metode penelitian campuran (Mixed Methods) khususnya menggunakan desain embedded experimental model. Penelitian dilaksanakan di SMK N 5 Manado, Jurusan TKJ kelas XII dengan jumlah responden sebanyak 28 siswa. Hasil pengolahan dan analisis data diperoleh nilai rata-rata pretest sebesar 16,25 dan nilai rata-rata posttest sebesar 70,54. Terjadi peningkatan rata-rata hasil belajar siswa dengan menggunakan uji N-Gain sebesar 65,85%. Persentase pemahaman konsep siswa dari tahap pemetaan ide hingga konseptualisasi mengalami peningkatan rata-rata sebesar 83,09%. Pemahaman siswa yang cukup baik dalam menguasai materi dan menyelesaikan soal sebanyak 20 siswa dan 8 siswa sangat baik dalam menguasai materi dan menyelesaikan soal. Penggunaan model pembelajaran PIMCA cukup efektif untuk membantu meningkatkan pemahaman konsep dan hasil belajar siswa dalam pembelajaran matematika.
ANALISIS KEMAMPUAN KONEKSI MATEMATIS SISWA KELAS IX SMP PADA MATERI FUNGSI KUADRAT
Authors: Kartutu Octovina , Ayal Carolina Selfisina , Ramadhani Widya Putri
Published: August 2024

Penelitian ini bertujuan untuk mendeskripsikan kemampuan koneksi matematis siswa kelas IX SMP Negeri 12 Ambon pada materi fungsi kuadrat. Kemampuan koneksi matematis adalah kesanggupan siswa dalam menghubungkan antar konsep dalam matematika, konsep matematika dengan kehidupan sehari-hari dan konsep matematika dengan bidang ilmu lain. Jenis penelitian ini adalah penelitian deskriptif kualitatif. Sumber data dalam penelitian ini yaitu siswa kelas IX 2 dan guru matematika SMP Negeri 12 Ambon. Hasil penelitian ini menunjukan bahwa kemampuan koneksi matematis siswa secara keseluruhan berada pada kategori rendah. Terdapat 20,83% kemampuan koneksi matematis siswa pada kategori tinggi, terdapat 29,17% kemampuan koneksi matematis siswa pada kategori sedang dan terdapat 50% kemampuan koneksi siswa pada kategori rendah. Subjek GW yang berkemampuan tinggi pada kemampuan koneksi matematis memenuhi indikator koneksi antar konsep dalam matematika, koneksi antar matematika dengan kehidupan sehari-hari dan koneksi matematika dengan bidang ilmu lain. Subjek GFR yang berkemampuan sedang hanya memenuhi indikator koneksi antar konsep dalam matematika dan koneksi matematika dengan kehidupan sehari-hari dan subjek IL yang berkemampuan rendah hanya memenuhi koneksi matematika dengan kehidupan sehari-hari.
Kata Kunci: Fungsi Kuadrat, Kemampuan Koneksi Matematis
ANALISIS KEMAMPUAN SISWA DALAM MENYELESAIKAN SOAL HIGH ORDER THINKING SKILLS (HOTS) PADA MATERI PROGRAM LINEAR DI KELAS XI SMA NEGERI 63 MALUKU TENGAH
Authors: Anjani Chayla , Ratumanan Tanwey Gerson , Ayal Carolina Selfisina
Published: August 2024

Penelitian ini bertujuan untuk mendeskripsikan kemampuan siswa dalam menyelesaikan soal High Order Thinking Skills (HOTS) pada materi program linier di kelas XI SMA Negeri 63 Maluku Tengah. Penelitian ini merupakan penelitian deskriptif kuantitatif-kualitatif. Sumber data yang dilibatkan dalam penelitian ini berjumlah 18 siswa. Awalnya direncanakan 5 subjek dengan 1 siswa kemampuan sangat tinggi, 1 siswa kemampuan tinggi, 1 siswa kemampuan sedang, 1 siswa kemampuan rendah dan 1 siswa kemampuan sangat rendah, tetapi pada hasil tes tidak terdapat siswa yang memiliki kemampuan sangat tinggi dan tinggi sehingga diambil 3 subjek penelitian dengan kemampuan sedang, rendah dan sangat rendah. 3 subjek terpilih kemudian diwawancarai untuk mengetahui kemampuan siswa dalam menyelesaikan soal High Order Thinking Skills (HOTS) yang dianalisis dengan tahapan pemecahan masalah langkah polya. Berdasarkan hasil analisis, nilai rata-rata dari keseluruhan soal tes diperoleh 5.55% untuk kemampuan menganalisis dan 30.5% untuk kemampuan mengevaluasi. Sehingga kemampuan siswa kelas XI dalam menyelesaikan soal High Order Thinking Skills (HOTS) tergolong sangat rendah.
Kata Kunci:  High Order Thinking Skills, Langkah Polya, Program Linear
Pelatihan Tekhnik Vokal Lagu Bahasa Indonesia dan Bahasa Inggris di Luwu Utara
Authors: Hermini Hermini , Sulaiman Sulaiman , Dwi Indah Opik , Zulham Muhammad
Published: August 2024

Seni vokal mencakup teknik vokal yang dapat dipelajari. Teknik vokal erat kaitannya dengan produksi suara yang terwujud dalam pelafalan yang tepat dan benar. Permasalahan yang muncul di Sekolah Menengah adalah kurangnya perhatian siswa terhadap teknik vokal sehingga  saat menyanyikan lagu dalam Bahasa Indonesia atau Bahasa Inggris pelafalan, pengucapan, vibrasi, dan artikulasi kurang baik. Selain itu, pelafalan dan pengucapan merupakan komponen yang penting dalam lagu Bahasa Indonesia dan Bahasa Inggris sehingga perlu adanya integrasi seni dan bahasa. Kegiatan PKM ini bertujuan untuk meningkatkan kemampuan teknik vokal siswa dalam menyanyikan lagu Bahasa Indonesia dan Bahasa Inggris pada komponen pelafalan, pengucapan, vibrasi, dan artikulasi. PKM ini dilaksanakan di tiga sekolah di Luwu Utara antara lain SMKN 1 Luwu Utara, SMAN 4 Luwu Utara, dan SMAN 12 Luwu Utara dan diikuti oleh 90 siswa. PKM ini dimulai dengan perencanaan, persiapan, pelaksanaan, dan evaluasi. Hasil kegiatan menunjukkan siswa mengalami peningkatan dalam empat komponen teknik vokal antara lain pelafalan, pengucapan, vibrasi, dan artikulasi. Selain itu nampak siswa antusias dan semangat dalam mengikuti kegiatan dan berpartisipasi aktif.
Penyuluhan Status Gizi Pada Mahasiswa UKM Pada Cabang Olahraga Bola Voli Di Prodi Pendidikan Jasmani Universitas Megarezky
Authors: Budi Utama Muh Ilham , Asrun Budyanita
Published: August 2024

Masa remaja merupakan masa peralihan antara masa kehidupan anak-anak dan masa kehidupan orang dewasa yang di tandai dengan pertumbuhan dan perkembangan dari anak-anak sampai dewasa. Perkembangan remaja dibagi menjadi tiga priode, yaitu remaja awal (10-14). Remaja pertengahan (15-17 tahun), dan remaja akhir (18-21 tahun). Mahasiswa dapat dikatakan sebagai remaja, dengan kisaran umur antara 17-22 tahun. Kegiatan pengabdian dikemas dalam bentuk sosialisasi. Dalam penyampaiannya berbagai materi kegiatan dilakukan dengan cara disampaikan ceramah dilanjutkan dengan diskusi kelompok. Adapun hasil kegiatan yaitu mahasiswa sadar akan pentingnya gizi seimbang serta pemberian asupan gizi saat sebelum pertandingan dan setelah pertandingan adapun jumlah peserta dalam UKM tersebut adalah 50 orang. Temuan yang kami dapatkan hampir semua atlet pada cabang olahraga bola voli masih belum mengetahui status gizinya. Diharapkan dengan adanya pengabdian ini memberikan dampak yang signifikan bagi mahasiswa UKM pada cabang olahraga bola voli khususnya serta semua atlet pada UKM pada umumnya serta para pelatih atau pembina mengetahui status atlet sebelum bertanding sehingga kedepannya mampu memberikan yang terbaik kepada UKM ataupun lebih khususnya bagi Universitas Megarezky.
Pengembangan Kebun Wisata Anggur Berkelanjutan di Desa Padang Kamburi
Authors: Masluki Masluki , Jumardi Andi , Firdamayanti Erni , Mutmainnah Mutmainnah , Muis Ichwan , Naim Muhammad , Iriansa Iriansa
Published: August 2024

Kebun wisata anggur desa Padang Kamburi merupakan salah satu destinasi wisata yang memadukan konsep perkebuanan dengan wisata petik. Tujuan penelitian untuk menganalisis potensi pengembangan kebun wisata menjadi kawasan wisata anggur yang sebagai basis ekonomi desa. Metode yang digunakan meliputi wawancara, observasi, studi dokumentasi. Data dan informasi dianalisis dengan menggunakan SWOT yang dilanjutkan dengan penyusunan rekomendasi. Kelompok masyarakat yang terlibat dalam kegiatan yaitu terdiri atas 2 kelompok tani masing berjumlah 20 orang sehingga terdapat 40 orang peserta dan pemerintah Desa Padang Kamburi terdiri dari 4 orang. Manfaat yang diperoleh yaitu peningkatan kapasitas masyarakat dalam memahami pengembangan agrowisata berbasis anggur beserta produk turunan lainnya. Pengembangan kebun wisata anggur Desa Padang Kamburi memiliki potensi untuk menjadi kawasan agrowisata dengan mempertimbangkan hasil analisis SWOT. Skala perkebunan yang tergolong kecil membutuhkan upaya serius untuk menambah areal perkebunan dengan segala aspek pendukung seperti ketersedian pembibitan, sarana produksi, sarana edukasi, pengolahan dan pemasaran produk.
Pelatihan Isolasi DNA bagi Siswa SMAN 2 Luwu dan SMAN 6 Luwu
Authors: Wardi Ridha Yulyani , Haris Eka Pratiwi , Cambaba Sunarti , Sohriati Eva , Suhaeni
Published: August 2024

Pelaksanaan kegiatan praktikum terkait materi genetika di SMAN 2 dan SMAN 6 Luwu masih sangat jarang dilakukan sehingga minat dan antusias siswa rendah dalam mempelajari materi biologi. Kegiatan isolasi DNA bagi siswa SMAN 2 dan SMAN 6 Luwu bertujuan untuk meningkatkan antusias siswa kelas XII terhadap pembelajaran biologi. Kegiatan ini dilaksanakan dengan 3 tahapan, yaitu: (1) persiapan yang meliputi observasi dan analisis situasi, (2) pelaksanaan meliputi pemberian materi dan praktikum isolasi DNA dengan alat dan bahan serta metode sederhana, dan (3) kegiatan evaluasi dan monitoring yang meliputi evaluasi kegiatan pembelajaran. Hasil pelaksanaan menunjukkan bahwa kegiatan pengabdian kepada masyarakat yang dilaksanakan berhasil meningkatkan minat siswa kelas XII SMAN 2 dan SMAN 6 Luwu dalam mempelajari materi genetika dan hereditas pada manusia. Hal tersebut ditunjukkan dengan adanya peningkatan sikap siswa dari yang semula acuh tak acuh menjadi antusias dan dapat menjelaskan kembali apa yang telah dipelajari.
Teologi Mesianik Perspektif Kristen dan Islam
Authors: Muhtar Mohamad Khusnial
Published: August 2024

Dalam teologi mesianik dari agama-agama Abrahamik seperti Kristen dan Islam, terdapat pandangan di mana di akhir zaman kelak akan ada pertarungan antara kebaikan dan kejahatan yang masing-masing diwakilkan oleh sosok eskatologis tertentu. Tulisan ini membahas tentang mesias, sosok eskatologis yang mewakili kebaikan, dan mesias palsu, yang mewakili kejahatan, perspektif Kristen dan Islam. Tulisan ini mencoba membandingkan dan menganalisis secara mendalam mengenai konsep mesias dan mesias palsu perspektif Kristen dan Islam dalam segi sumber dan historisitasnya. Secara eksplisit, tulisan ini menjelaskan mengenai siapa dan bagaimana karakteristik mesias dan mesias palsu yang akan datang menjelang akhir zaman perspektif Kristen dan Islam. Metode yang digunakan dalam tulisan ini ialah kajian pustaka (library reserach) dengan pendekatan deskriptif-kualitatif. Hasil daripada tulisan ini meliputi Kristen dan Islam sepakat mengakui Yesus Kristus atau Isa Al-Masih sebagai sosok mesias yang akan datang menjelang akhir zaman kelak. Namun, dalam perspektif Islam, terdapat satu sosok lagi yang diasosiasikan sebagai mesias yakni Imam Mahdi. Sedangkan mengenai mesias palsu, terdapat perbedaan di mana Kristen mengasosiasikannya dengan Antikristus dan Islam dengan Dajjal, yang masing-masing memiliki ciri dan karakteristik berbeda. Terkait wacana mesias palsu baik dalam Kristen maupun Islam, semuanya begitu interpretatif. Namun demikian, satu hal yang pasti, dia dikenali sebagai pendusta besar.
KARAKTERISTIK HADITS DAN MUHADDIS NUSANTARA STUDI PEMIKIRAN SYEIKH NAWAWI AL-BANTANI
Authors: Hasibuan Harits Ar-Royhan , Imawan Dzulkifli Hadi
Published: August 2024

Para ulama Nusantara, sebagai penjaga dan pewaris tradisi keilmuan, memainkan peran sentral dalam meriwayatkan, mempelajari, dan menyebarkan hadits di wilayah ini. Kontribusi mereka mencakup berbagai aspek, mulai dari pembuktian sanad (rantai perawi) hadits hingga pengembangan pemahaman kontekstual terhadap sunnah Nabi Muhammad SAW. Syekh Nawawi al-Bantani, dengan kealiman dan dedikasinya, menjadi sosok yang memberikan kontribusi besar terhadap pemahaman hadits di Nusantara. Pendekatan yang dilakukan peneliti adalah pendekatan dengan pendekatan studi pustaka. Sumber-sumber yang diambil oleh penbeliti berasar dari sumber-sumber ilmiah berupa buku dan jurnal penelitian terdahulu. Banyak masyarakat yang mencari ilmu agama datang kepada Syaikh Nawawi Al-Bantani untuk berguru, baik ketika beliau berada di Makkah maupun ketika beliau kembali ke tanah air. Para muhadis Nusantara, termasuk Syeikh Nawawi al-bantani menunjukkan keunggulan dalam menguasai ilmu hadits dan sanad, yang merupakan fondasi utama dalam pemahaman ajaran Islam. Mereka tidak hanya memiliki pengetahuan yang mendalam, tetapi juga keahlian untuk memilah hadits yang sahih dan dhaif, menjadikan mereka sebagai penjaga keaslian dan kebenaran ajaran agama.Pengaruh karya-karya Syekh Nawawi Al-Bantani terhadap perkembangan hadits di Nusantara sangatlah signifikan. Karya-karyanya menjadi rujukan utama, memperkaya khazanah hadits, meningkatkan pemahaman hadits, mendorong penerapan hadits, dan memperkuat tradisi keguruan. Melalui pembahasan ini, dapat disimpulkan bahwa Syekh Nawawi Al-Bantani telah memberikan sumbangsih yang sangat besar terhadap perkembangan studi hadits di Nusantara. Beliau adalah sosok ulama yang patut diteladani dan karyanya patut dilestarikan.
Kata Kunci:  kitab-kitab hadits, hadits nusantara, syeikh nawawi albantani, ulama nusantara.
A COMPARATIVE STUDY ON ONLINE, OFFLINE AND BLENDED LEARNING METHODS: ENHANCING EDUCATIONAL EFFECTIVENESS IN THE DIGITAL AGE
Authors: Sharma Garima
Published: August 2024

The education sector is witnessing a paradigm shift with rapid and ongoing technological advancements. The online, offline, and blended modes of learning continue to evolve with time. The purpose of this survey is to collect students’ responses to understand their perspectives on the different modes of learning. The advantages, challenges, and requirements for conducting classes through online, offline, and blended learning methods are discussed. A questionnaire was designed, and a survey was conducted among undergraduate and graduate students. The questions are carefully planned to understand the choice of students while selecting different modes of learning, various activities and tools, and the reasons for their preferences. 200 students took part in the survey and shared their feedback. The advantages and disadvantages of online and offline learning are presented. A chi-square test was conducted, and the association between the two questions is shown to be significant. Suggestions for enhancing teaching and learning based on the findings of the survey help faculty members to plan the teaching methodology to suit the requirements of students.
DIRECT TORQUE CONTROL OF INDUCTION MOTOR DRIVE FED BY VSI: MODELING AND SIMULATION
Authors: Bhati Reena , Yadav Vinod Kumar
Published: August 2024

To improve the performance of an induction motor drive, there is always a need of an efficient controller to control the motor parameters and regulate torque and flux. Direct Torque Control (DTC) has emerged as a powerful tool with promising characteristics like faster torque response with improved dynamic performance. This paper investigates DTC for Induction motor drive using a three-phase voltage source inverter. The performance of the system is verified with the help of MATLAB/SIMULINK environment.
COGNITIVE ANALYSIS OF ENTREPRENEURIAL INTENTIONS: A REVIEW
Authors: Patel Nisarg , YadaKumariv Bhawna Kumar , Tiwari Somya
Published: August 2024

This paper explores the critical role of cognitive analysis in understanding entrepreneurial intentions. Utilizing both open-ended and closed-ended approaches, the study emphasizes the precision of closed-ended methods, specifically employing targeted questions and the ECG method. Entrepreneurial intentions (EI) is highlighted as a key factor in entrepreneurial success, enabling effective communication, relationship management, and conflict resolution. The literature review identifies individual, entrepreneurial, and environmental factors influencing cognitive processes related to entrepreneurial intentions. The conclusion underscores the significance of cognitive analysis in predicting entrepreneurial behavior, identifying barriers to entrepreneurship, enhancing entrepreneurship education, and recognizing elements contributing to success. The study advocates for adopting structured thought processes revealed through cognitive analysis to emulate entrepreneurial thinking, encouraging innovation, calculated risk-taking, and strategic planning.
TRANSFORMING COMMERCE EDUCATION: A COMPREHENSIVE ANALYSIS OF INDIA'S NATIONAL EDUCATION POLICY 2020 AND ITS IMPACT ON THE COMMERCE DISCIPLINE
Authors: Bharvad Gopal , Bharvad Bharat
Published: August 2024

The National Education Policy (NEP) 2020 heralded a paradigm shift in India's educational landscape, aiming to create a holistic and flexible learning environment. This research article explores the implications of NEP 2020 on the Commerce discipline, a vital sector of the Indian education system. We delve into the key policy changes, their potential benefits, challenges, and their transformative potential for commerce education. Through this analysis, we provide insights into the future of commerce education in India.
DEVELOPMENT OF INTELLIGENT CONTROL STRATEGY ON MULTILEVEL INVERTER FOR PMSG BASED WIND ENERGY CONVERSION SYSTEM
Authors: Singh Rohan Pratap , Joshi Deepak Kumar , Sharma Nirma Kumari
Published: August 2024

The limitations of fossil fuel-based energy sources, such as rising prices, environmental harm, scarcity, and pollution, underscore the urgency of transitioning to renewable energy. Harnessing wind energy efficiently requires implementing various control strategies due to its unpredictable nature. This paper introduces a 3L multilevel converter integrated with a Permanent Magnet Synchronous Generator (PMSG)-based wind energy conversion system (WECS). It delves into the design considerations of WECS components, encompassing the fundamental models of two drivetrains and wind turbines. The adaptive fuzzy logic control, coupled with a PI type maximum power point tracking (MPPT) algorithm, optimizes wind energy extraction. Additionally, the utilization of 3-L multilevel converters enhances the system's efficiency. The primary objective is to maximize energy extraction from the wind, ensuring the system's high efficiency. To achieve maximum power point tracking across diverse conditions, the developed control algorithm undergoes rigorous testing using simulation software. By integrating diode rectifiers, 3-L boost converters, and 3-L multilevel inverters, the system maintains balanced and regulated output voltage, current, and power amidst varying input/output conditions and disturbances. Compared to conventional methods, the Intelligent Control Strategy proves superior, exhibiting enhanced stability, precision, and performance with robust dynamic response under fluctuating wind speeds.
ENHANCING AUTONOMOUS NAVIGATION AND COLLISION AVOIDANCE IN DRONE TECHNOLOGY USING DEEP REINFORCEMENT LEARNING
Authors: Kumar Vikash , Kumar Lokesh , Kumar Anuj , Chauhan Naman , Singh Bhanu Pratap
Published: August 2024

Drone technology is advancing quickly; effective and secure autonomous navigation systems are crucial. This paper presents a novel approach to enhance autonomous navigation and collision avoidance in drone technology using Deep Reinforcement [11] Learning (DRL). Our objective is to apply DRL algorithms to improve drone decision-making abilities, enabling them to navigate complex environments more effectively and safely.
MACHINE LEARNING ALGORITHMS FOR CYBER ATTACKS AND FRAUD DETECTION
Authors: Choudhary Rahul , Choudhary Rajkumar , Soni Karuna
Published: August 2024

Cyber-attacks and fraud pose significant risks to individuals, organizations, and nations. The consequences of such malicious activities range from financial losses and reputational damage to national security threats. As cyber attackers continuously evolve their techniques, traditional defense mechanisms often fall short in providing adequate protection. Consequently, there is a pressing need for advanced, adaptive, and efficient solutions to detect and mitigate these threats. The rise of cyber-attacks and fraud has become a significant concern for both individuals and organizations. As a result, the need for advanced machine learning algorithms to detect and prevent these threats has never been greater.
DESIGN OF A NOVEL OPTIMAL CONTROL ENERGY MANAGEMENT STRATEGY FOR STAND ALONE HYBRID SOLAR-WIND SYSTEM
Authors: Chauhan Abhishek Singh , Joshi Deepak Kumar , Sharma Nirma Kumari
Published: August 2024

Energy is pivotal for the economic progress and societal advancement of any nation. To minimize reliance on imported fuels and address the increasing gap between energy demand and supply, it is imperative to optimize indigenous energy resources, while considering economic, environmental, and social constraints. The surge in population has exacerbated the energy crisis, widening the disparity between demand and supply. Depletion of conventional energy sources has led to an energy supply shortfall. While renewable energy sources (RES) offer promise in the energy sector, their standalone operation is hindered by their intermittent nature, resulting in interruptions in power supply to loads. To ensure stable and reliable power supply, hybrid combinations of renewable energy sources have been adopted. The design of a hybrid wind-solar Photovoltaic (SPV) system for power generation, targeting domestic households in remote areas disconnected from the grid, has been proposed. Such hybrid systems operate either in isolated mode or in grid-connected mode via power electronics interfaces, augmenting reliability and ensuring continuous power supply. Introducing a Hybrid Renewable Energy System (HRES) aims to enhance the productivity and operability of individual renewable energy systems. Extensive technological investigations have explored various approaches, including linear programming and a novel optimum control strategy incorporating PID controllers, fuzzy logic controllers, AI, and optimal torque with Maximum Power Point Tracking (MPPT) techniques. The developed novel optimum control strategy facilitates the coordinated operation of diverse devices and power interface circuitries, with the primary objective of ensuring continuous power supply. Simulation studies have evaluated system performance under different scenarios, including varying solar radiation, temperature, air conditions, and battery charge/discharge conditions. Results indicate variable power generation and affirm the efficacy of the integrated system and control strategies in real-time installations. The investigation reveals that the developed novel optimum control strategy significantly enhances the performance of standalone hybrid wind-SPV systems. The hybrid system, when integrated with controllers, exhibits improved output power and ensures continuous power delivery, thereby enhancing overall system efficiency and reliability. Such systems are indispensable in isolated regions where grid connectivity is unavailable, ensuring secure power generation by intelligently harnessing diverse energy sources.
ARCHITECTURE OF BIOMETRIC SYSTEMS FINGERPRINTS FOR HOME SECURITY SYSTEM
Authors: Kumar Vikash , Kumar Lokesh , Sharma Bhupender , Chauhan Naman , Singh Ritik Kumar , Singh Bhanu Pratap
Published: August 2024

Home Security System has become the prime concern in the recent years or time. If we talk about the technology so now a days technology comes out every second, ample home-based security systems have been expanding and implementing with many of the latest features. So, that we can keep our home safe [15]. This paper represents the design and model or prototype implementation of a home security system that makes the home security more convenient, flexible, and less expensive.
DIGITAL ENTREPRENEURSHIP
Authors: Pamarthi Lakshman Rohit , Gudeml Akshaya , Mummaneni Nikhil
Published: August 2024

The study's primary objective is to analyze the relevance of digital entrepreneurship in the modern business environment and to suggest ways in which entrepreneurs can maximize its benefits. The authors have identified the factors of digital platforms and determined how they improve business operations. The identified enablers are transformation of supply chain business processes, changing people’s mindset, choosing the right system for your entrepreneurship, and understanding When to Scale Up. The identified barriers are No Proof of Business Value, Security Concerns, Afraid of Transforming Existing Norms, Lack of appropriate Infrastructure, and Choosing Staff. This article will help the practitioners and policymakers in understanding the factors affecting digital entrepreneurship more effectively.
EXPERIMENTAL INVESTIGATION ON STABILITY OF CLOSED LOOP VECTOR CONTROLLED MATRIX CONVERTER FED INDUCTION MOTOR DRIVE
Authors: Verdia Monika , Kumar Vinod , Joshi R.R.
Published: August 2024

In this paper, a state average model of the whole system, assuming a constant power load, is employed. The stability of the system is evaluated by analyzing the migration of eigenvalues of the system, which is linearized around the operating point. The approach allows the determination of relationships showing the maximum output power of the matrix converter as function of the parameters of power supply and input filter. The stability is evaluated by analyzing the migration of eigenvalues of the linearised state matrix. The approach allows the determination of the maximum voltage transfer ratio of the matrix converter, and then of the maximum output power, as function of the time constant of the digital lowpass input voltage filter. The transition from stable to unstable operation of the matrix converter has been verified by changing the operating conditions.
ENERGY STORAGE SYSTEM IN AN ELECTRICALLY PEAKING HYBRID (ELPH) VEHICLE
Authors: Jain Chandra Prakash , . Amrit , Kumar Panchan , Ansari Karimullah
Published: August 2024

Advantages like high reliability, long cycle life, high energy storage capacity and deep discharge of an Flywheel Energy storage system (FESS) can potentially enhance the performance of the hybrid vehicles. This paper the study related to integration of Flywheel Energy storage system (FESS) to an already available model of parallel hybrid vehicle with retransmission torque coupling, i.e., replacing the conventional chemical battery with an equivalent mechanical battery. FESS employed for the analysis comprises an integrated flywheel homopolar inductor machine with High frequency drive. The simulation results of an Electrically Peaking Hybrid (ELPH) are used as a base work in the present analysis. The ELPH model uses a control strategy to optimize the vehicle performance with a major concern for battery performance. The paper analyzes the performance of considered FESS model under the same control strategy and driving conditions. A MATLAB/SIMULINK model is used for the analysis of the vehicle for both urban and highway drives. Finally a comparison is drawn between the performances of the chemical battery, working in its best efficiency range, as a result of the applied control strategy, to that of the considered FESS. It is inferred from the simulated results that the performance of employed FESS is satisfactory in comparison to chemical batteries. It is therefore expected that FESS can be effectively employed in hybrid vehicles.
DESIGN OF FIRE FIGHTING ROBOTIC SYSTEM FOR FIRE DISASTER CONTROL
Authors: Jain Chandra Prakash , Agarwal Divisha , Lalawat Hitesh , Pareek Jyoti , Shrimali Divyanshi , Kaithwas Deepak
Published: August 2024

- The increasing occurrences of fire-related disasters necessitate advanced technologies for efficient firefighting operations. In this context, the development of fire-fighting robots emerges as a promising solution. This abstract outline the design, functionality, and potential applications of a cutting-edge fire-fighting robot. The fire-fighting robot is equipped with a robust mechanical structure designed to withstand high temperatures and navigate through challenging terrains. It integrates state-of-the-art sensors, including thermal imaging cameras and gas detectors, enabling real-time monitoring of the fire environment. These sensors provide crucial data for decision-making algorithms implemented in the robot's control system. The control system incorporates artificial intelligence algorithms for autonomous navigation, fire detection, and suppression. Machine learning techniques enable the robot to analyze environmental data and identify the presence and spread of fire with high accuracy. Upon detection, the robot autonomously devises an optimal path towards the fire source while avoiding obstacles.