bluuebunny/crossref_metadata_2025 huggingface dataset:
Territorial determinants of the “spatial anchorage” of a soybean industry in Hauts-de-France region, France: the role of collective dynamics and proximity
Authors: Ceapraz Ion Lucian , Catherine Delhoume , Zohra Benkhettab Fatima
Published: September 2024

Our work proposes to highlight the role of territorial determinants and more particularly those of socio-economic nature in the development of a territorial soy industry in the Hauts-de-France region, France. The approach consists of highlighting how and what are the conditions and the forms of the determinants of social capital to anchor a sustainable local soy industry. Thus, in our paper, these socio-economic determinants take the form of the collective dynamics of farmers which constitute a major factor in the establishment of soy culture in different territories of Hauts-de-France region. In this paper we have chosen a qualitative approach using a grid of semi-directive interviews with agricultural stakeholders, as part of the DOP Picardie project . The various players involved in the soya commodity chain were interviewed, with a comparative analysis of two study areas, Bourgogne Franche Comté and Marne. Our surveys and their interpretations yielded numerous results in the form of motivations, constraints, and recommendations for the sustainable establishment of soya sector in Hauts-de-France, as well as the identifying the socio-economic, agronomic, and regulatory factors that come together as collective actions to promote this sector.
It isn't about health, and it sure doesn't care: A qualitative exploration of healthcare workers’ experience of the policy of vaccination mandates in Ontario, Canada
Authors: Chaufan Claudia , Hemsing Natalie , Moncrieffe Rachael
Published: September 2024

Background: When COVID-19 vaccines became available, healthcare workers (HCWs) were prioritized for vaccination. Despite opposition from sectors of the population and of the healthcare labour force itself, vaccine mandates were implemented in most healthcare settings across Canada, including Ontario, with many still in effect. Goal: This study examined Ontario HCWs' lived experience of vaccine mandates, focusing on their decision-making processes, the mandates' impact on their lives and livelihoods, and their views on the effects of mandates on patient care.Methods: We conducted an online cross-sectional survey among Ontario HCWs of diverse vaccination status, professions, ages, socioeconomic status, races/ethnicities, and genders, recruiting through professional networks and snowball sampling. For this article, we performed a thematic analysis of responses to one open-ended question and to open-ended options in closed questions. We reported quantitative results separately.Results: Out of 468 respondents, 225 filled out the open-ended question. We further collected 110 qualitative entries from the open-ended options to closed questions, 20 from respondents who had not filled out the open-ended question. The final sample, that included both sources of data, represented a total of 245 respondents. Most respondents were unvaccinated, had been terminated for non-compliance with vaccination mandates, experienced personal losses, and reported negative views on mandates and their impacts on patient care. We identified six themes: 1) policies conflicting with scientific evidence and professional practice; 2) conflicts with medical ethics; 3) unacknowledged or dismissed personal hardships; 4) unacknowledged or dismissed physical harms; 5) discrimination against unvaccinated HCWs and patients; and 6) negative impacts on patient care.Conclusions: Our study revealed a system in Ontario healthcare settings that inflicts significant harm on non-compliant HCWs and patients, discriminates against these workers’ right to work, and violates the bioethical principle of informed consent of both HCWs and patients. We conclude that mandated vaccination must be ended and replaced with evidence- and ethics-informed healthcare workplace policies.
उत्तरवर्ती नेपाली उपन्यासको मनोविश्लेषणात्मक पठन
Authors: घर्ती Gharti दुर्गा बहादुर Durga Bahadur
Published: September 2024

Available with Fulltext.
Digital Transformation: An Enterprise Transformation Theory Perspective
Authors: Kumar Rahul , Thakurta Rahul
Published: September 2024

Digital Transformation (DT) has emerged as one of the most talked-about phenomena of the decade. The rush of things around DT also exposes its challenges towards effectively integrating digital technologies into the scheme of things. The proliferating literature on DT offers a fragmented understanding and is unclear about the constituents and configuration of the phenomena. The above concerns primarily arise from insufficient theoretical grounding and deficiencies in the extant conceptualizations. To address these concerns, the article posits an over-arching research question to examine the phenomena while theoretically uncovering its foundational elements. Accordingly, the study resorts to the enterprise transformation framework to explicate the transformative aspects based on a two-phase analysis. The first phase adopts a text-mining approach for uncovering the latent themes underlying the DT scholarship, followed by a qualitative approach involving content analysis. We finally propose a theoretically motivated conceptualization of the tenets of DT. We specifically investigate the phenomenon's scope, ways, means, and ends. The proposed framework is further validated following a multi-case analysis. Our conceptualization grounds and establishes the significance of foundational elements having a theoretical basis for identifying DT. Our examination offers an implementation guide for the practice, which we delineate subsequently.
Pembuatan dan Pemasangan Instalasi Penerangan Bertenaga Surya Untuk Tempat Perahu Bersandar di Kampung Nelayan Kalisari
Authors: Syamsuri Syamsuri , Maulana Hasan Syafik , Saidatin Naili , Rosidah Afira Ainur , Setyowati Vuri Ayu , Sasongko Sukendro Broto , Noerpamoengkas Ardi , Wardani Iftika Philo , Lillahulhaq Zain , Vietanti Frizka
Published: September 2024

Residents who work as fishermen in Kalisari tether their boats by the river close to their settlements. To maintain the safety of the boat, residents need adequate lighting around the riverbanks. However, currently, the area used as a boat mooring area does not yet have sufficient lighting. Residents set up guard posts around the boat mooring area to maintain the boat's safety and gather when an association meeting is held. The boat mooring area is also an area for children to play on the riverbank. The installation of lighting is an essential requirement for the community to make monitoring the area around the mooring area easier. The installation of solar-powered lighting is carried out to solve this problem. In this activity, the service team also provided education on solar energy for Kalisari residents. Residents were also given training in the assembly and maintenance of installed solar panels. Service activities carried out in the fishing village of Kalisari received a positive response from the community. This can be seen from the enthusiasm of the community in attending the socialization activities. The installation of lamps equipped with solar panels received positive responses from residents, marked by the community's enthusiasm.
Pemanfaatan Sistem Informasi dalam Mendukung Kinerja Penyuluh Pertanian di Kabupaten Bojonegoro
Authors: Anggraeny Fetty Tri , Rizki Agung Mustika , Sumarni Titin , Setianto Christian Wahyu , Taufiqqurrahman Husain , Pratama Muhammad Lutfi
Published: September 2024

Kabupaten Bojonegoro merupakan salah satu penyumbang produk pertanian tertinggi di Jawa Timur. Dalam rangka peningkatan produk pertanian secara kontinu, Dinas Ketahanan Pangan dan Pertanian (DKPP) Kabupaten Bojonegoro meningkatkan layanan penyuluhan pertanian. Dengan luasnya wilayah pertanian dan banyaknya tenaga penyuluh yang harus dikelola serta memudahkan monitoring, maka dibutuhkan sistem informasi yang digunakan untuk mengelola penyuluh, penjadwalan waktu; tempat latihan; dan kunjungan, serta pelaporannya. Pengabdian masyarakat ini dilakukan untuk menyelesaikan masalah tersebut dengan membangun sistem informasi latihan dan kunjungan penyuluh. Dengan menggunakan sistem informasi, optimasi penjadwalan dapat dilakukan secara merata untuk setiap penyuluh dan kelompok binaan/desa.
MODERN FEATURES OF THE CLINICAL COURSE OF SEVERE PRE-ECLAMPSIA AND PERINATAL OUTCOMES IN THE SETTING OF THE NOVOSIBIRSK CITY CLINICAL PERINATAL CENTER
Authors:   Novosibirsk State Medical University, Novosibirsk, Russia, Luzan O.D. , Pozdnyakov I.M. ,   Novosibirsk State Medical University, Novosibirsk, Russia; Novosibirsk City Clinical Perinatal Center, Novosibirsk, Russia, Starikov N.V. ,   Novosibirsk State Medical University, Novosibirsk, Russia, Avdiyuk G.A. ,   Novosibirsk State Medical University, Novosibirsk, Russia, Kozak Yu.V. ,   Novosibirsk State Medical University, Novosibirsk, Russia, Akhmudinova A.A. ,   Novosibirsk State Medical University, Novosibirsk, Russia
Published: September 2024

Preeclampsia (PE) is one of the most complex and important problems of scientific and practical obstetrics. Despite numerous works in the field of studying pathogenesis, determining specific markers, diagnostic features, treatment methods and delivery, many questions still remain open. In order to study the outcomes of delivery and modern features of the clinical course of severe PE, a retrospective analysis of primary medical documentation was carried out – 68 maternitiy records of patients who were delivered due to severe PE, and 82 birth case histories as a control group, from January to December 2022 in the State Budgetary Healthcare Institution of Novosibirsk Region – Novosibirsk City Clinical Perinatal Center. Having studied the perinatal outcomes of birth, the peculiarities of the severe PE clinical course, we can conclude that the outcomes of delivery are favorable, no perinatal losses were recorded, and the total blood loss did not exceed the permissible level during abdominal delivery which is ensured by careful preparation for delivery and the implementation of therapeutic measures in accordance with current clinical guidelines protocols.
Зовнішня торгівля України продукцією АПК
Authors: ФЕДУЛОВА Ірина
Published: September 2024

Зовнішня торгівля продовольчими товарами та сировиною для їх виробництва є важливою частиною розвитку економіки України. Продукція українського агропромислового сектора має попит на світовому ринку, а її експорт є частиною забез­печення конкурентоспроможності України. Метою статті є обґрунтування напрямів роз­витку зовнішньої торгівлі продовольчими това­рами та сировиною для їх виробництва, з погляду на доцільність експорту й імпорту. Зазначена мета визначена у гіпотезі, що полягає у можли­вості виділити окремі групи продовольчих товарів і сировини для їх виробництва відповідно до змін індексів цінових і кількісних умов торгівлі в зовнішньоекономічній діяльності. Методологічною базою дослідження є визначені індекси цінових і кількісних умов зовнішньої торгівлі за 2021–2022 рр., їх зіставлення і позиціювання на карті. Виявлено низку важливих тенденцій у зовнішній торгівлі: відʼємне сальдо загалом, позитивне сальдо у секторі аграрної продукції та продовольства, високий рівень концентрації експорту й імпорту, висока частка продовольства з низьким рівнем переробки, зростання частки імпорту і зменшення частки експорту продовольчих товарів і сировини для їх вироб­ництва у ВВП. За результатами аналізу змін цінових і кількісних умов торгівлі проведено позиціювання продовольчої продукції та сировини для її виробництва і подальший її розподіл на чотири групи: продукція, для якої зростають індекси цінових і кількісних умов торгівлі; продукція, для якої зростає індекс кількісних умов торгівлі та зменшується індекс цінових умов торгівлі; продукція, для якої зменшуються індекси цінових і кількісних умов торгівлі; продукти, для яких зростає індекс цінових умов торгівлі, зменшується індекс кількісних умов торгівлі. Розгляд напрямів розвитку експорту й імпорту продовольчих товарів та сировини для їх виробництва відбувався для кожної товарної групи продуктів відповідно до Harmonized System (HS). Напрями розвитку в Україні експорту та імпорту продовольчих товарів і сировини для їх виробництва обґрунтовано за результатом аналізу тенденцій змін кількісних і якісних умов торгівлі, основних характеристик експорту й імпорту продукції та коефіцієнтом покриття імпорту експортом. Проведене дослідження дало змогу виявити перспективи досліджуваних продуктів у зовнішній торгівлі з точки зору вигоди для країни загалом та компаній зокрема.
Zamach terrorystyczny Hamasu na Izrael (2023) – geneza i reperkusje dla państw Zatoki Perskiej
Authors: Grabowski Wojciech
Published: September 2024

Celem artykułu jest ukazanie wpływu konfliktu Izrael-Hamas 2023 na sytuację geopolityczną państw Zatoki Perskiej. W artykule przedstawiono krótką genezę konfliktu izraelsko-palestyńskiego, ze szczególnym uwzględnieniem rozwoju sytuacji w Strefie Gazy oraz działalności Hamasu na jej terenie. Podjęte zostały także reakcje państw Zatoki Perskiej na zamach Hamasu z 7 października 2023 roku oraz jego skutki polityczne dla tychże państw. Dla realizacji tak postawionego celu sformułowano hipotezę, która zakłada, że konflikt Izrael-Hamas skłania państwa arabskie Zatoki Perskiej do balansowania między USA, Izraelem, Iranem a poparciem sprawy utworzenia państwa palestyńskiego, wstrzymując proces normalizacji stosunków izraelsko-saudyjskich przynajmniej do czasu zakończenia działań zbrojnych Izraela na terenie Strefy Gazy. W celu weryfikacji hipotezy postawiono pytania badawcze: 1. Jaka jest geneza zamachu terrorystycznego Hamasu z 7 października 2023 roku, a szerzej konfliktu izraelsko-palestyńskiego? 2. Jak na zamach terrorystyczny Hamasu zareagowały państwa Zatoki Perskiej i dlaczego w taki sposób? 3. Jakie reperkusje polityczne wywołał zamach Hamasu z 7 października 2023 roku?
Współpraca wewnątrz- i międzysektorowa jako element wsparcia edukacji włączającej
Authors: Gajdzica Zenon , Widawska Edyta , Jachimczak Beata
Published: September 2024

W Polsce proces oceny i realizacji potrzeb na poziomie lokalnym jest urzeczywistniany w podziale sektorowym. Własne narzędzia diagnostyczne i terapeutyczne posiada ochrona zdrowia, pomoc społeczna i oświata. Brakuje ogólnokrajowych standardów międzysektorowego zarządzania tym procesem oraz współpracy i integracji zasobów na poziomie lokalnym. Każdy sektor działa samodzielnie, nie widząc pozostałych, co wręcz uniemożliwia wymianę informacji, wiedzy, zasobów. W konsekwencji funkcjonuje system o niskiej skuteczności, w którym może dochodzić do duplikacji działań, wysiłków, kosztów.
Podstawowym celem opracowania jest zaprezentowanie międzysektorowego modelu wsparcia dziecka, ucznia i rodziny opracowanego i pilotażowo wdrażanego w ramach działań projektowych. Prezentacja ta została poprzedzona ogólną charakterystyką wewnątrzsektorowych i międzysektorowych procesów wspierania rozpatrywanych w kontekście szeroko pojętej edukacji włączającej. Punktem wyjścia jest teza, że w obecnej formule wspieranie placówek ogólnodostępnych odbywa się w ograniczonym zakresie i jedynie wewnątrzsektorowo, co obniża jego trafność i jakość. W efekcie warto podjąć próbę skonstruowania międzysektorowego modelu wsparcia, wpisującego się w potrzeby uczniów realizujących obowiązek szkolny w placówkach ogólnodostępnych.
Unlocking the Link: How Information Communication Shapes Life Expectancy and Mortality in Pakistan
Authors: Ali Majid , Saboor Sadiq Muhammad , Asghar Ammara , Yaseen Siddique Muhammad
Published: September 2024

The primary goal of this research is to investigate the interaction between information communication technology and health facilities. To achieve this goal, the panel data set is used from 1971 to 2020 from Pakistan's perspective. The study used pooled OLS, fixed effect estimates, and random effect approaches in its analysis. ICT is a broad topic, thus we quantified it using fixed broadband and fixed telephone subscriptions. Similarly, health is assessed using two standard proxies: life expectancy at birth and infant mortality rate.Based on time series data, the study found that information communication technology improved health outcomes significantly. Health and life expectancy will improve as technology progresses, but death rates will fall. As economic technology advances, people connect more and create healthy relationships, improving their health. Information and communication technology improve public health overall.
Prevalence and Associated Risk Factors of Cardiovascular Disease among Type 2 Diabetes Patients in Lower Dir Pakistan
Authors: Khan Zahid , Ullah Usman , Sultan Ayesha , Iqbal Uzma , Rizwan Muhammad
Published: September 2024

One of the most prevalent complications of type 2 diabetes mellites (T2DM) is cardiovascular disease (CVD) which is themajor cause of death. This study aims to assess the incidence and associated risk factors of CVD among T2DM patients at selected hospitals of Tehsil Adenzia, District Lower Dir. A structured questionnaire is designed for the collection of data from type 2 diabetic patients. A total of 1360 subjects are selected from the study area. Data is analyzed by Minitab version 19. The prevalence of CVD among T2DM is 20.04% in the selected sample. The logistic regression model is used to identify factors associated with CVD in diabetic patients. The model shows that higher age, duration of T2DM, and treatment taken are significant risk factors for CVD among T2DM patients.
Evaluating Poly-Pharmacy and Drug Interactions in Cardiovascular Treatment: A Call for Vigilant Medication Management
Authors: Adnan Muhammad , Saghir Savera , Ahmed Ejaz , Sahar Aimen , Jalal Masood Ahmad
Published: September 2024

Drug-drug interactions (DDIs) have a considerable impact on therapeutic response which, in turn, could result in adverse drug reactions (ADRs), or even treatment failure. It was directed at patients with cardiovascular diseases (CVDs) as this patient group is more likely to experience DDIs owing to the complexity and number of their drug treatments. The study, analyzed 108 prescriptions using different analytical tools which was carried out for two weeks in Muzaffarabad and Peshawar, Pakistan. The correlation between the number of prescribed drugs and DDIs is significant. There were DDIs in 68.51% of the total number of prescriptions (74/108), including serious interactions in 15.35%. Preservations of prescription practice have to be developed since the results are beginning to underline this last point, especially in a poly-pharmacy environment.
Formulation of Antifungal Herbal Shampoo Incorporating Silver Nanoparticles Synthesized from Biowaste
Authors: Patil Dhruwa , Pol Reshma
Published: September 2024

Introduction: Nanoparticles are being used commercially to enhance the effects on the products for better results. Silver nanoparticles are gaining popularity due to their wide range of applications considering their antimicrobial and antifungal properties. This research work uses a quick and ecological method for formation of green synthesized silver nanoparticles and its application as an anti-dandruff shampoo. Methods: Synthesis of silver nanoparticles from Citrus limon and Allium cepa aqueous peel extracts of 5mM and 10mM concentration. Characterization of the nanoparticles was done by FTIR (Fourier transform infrared spectroscopy), SEM (Scanning electron microscopy) and UV-spectroscopy. The formulation of herbal shampoo was carried out. The physical evaluation and antifungal properties (disc diffusion method) of the formulation were determined. Results: UV-spectroscopy showed peaks at a range of 350-450 nm for both nanoparticles after 24hrs and 1 week. SEM analysis showed particle morphology of spherical shape in a range of 30-100nm for both Lemon and Onion nanoparticles. FTIR identified functional groups present in nanoparticles which showed presence of O–H, C=C and C–Br for Citrus limon nanoparticles and HO-H bending in Allium cepa nanoparticles along with OH, C-Br and C-O groups. These nanoparticles were used to formulate an anti-fungal herbal shampoo using Meethi, Amla, Reetha and Shikakai extracts and anti-fungal activities were studied against the fungi Candida balantits and Candida albicans. The nanoparticles and nanoparticles incorporated shampoo formulation exhibited significant zone of inhibition stating its effectiveness against dandruff causing fungi. Conclusion: The current study included the formulation of an anti-dandruff shampoo with reduced usage of silver nitrate, thereby less quantity of nanoparticles, hence decreasing the risk of toxicity.
ANTESEDEN DAN KONSEKUENSI DARI FINANCIAL LITERACY DI DALAM MENINGKATKAN KINERJA UMKM DI JABODETABEK
Authors: Maulana Yanda , Palgunadi Andre , Leon Farah Margaretha
Published: September 2024

Penelitian ini bertujuan untuk menguji pengaruh dari human capital dan sosial capital terhadap financial literacy dan access to finance serta pengaruh dari access to finance terhadap kinerja UMKM. Penelitian  kausalitas adalah disain penelitian yang digunakan yaitu menguji dan menganalisis pengaruh dari variabel-variabel yang mempengaruhi variabel dependen yaitu kinerja UMKM. Variabel penelitian terdiri dari dua variabel independen (human capital dan social capital), dua variabel mediasi (financial (literacy dan access to finance), kinerja UMKM sebagai variabel dependen  serta dua variabel kontrol yaitu umur perusahaan dan ukuran perusahaan. Purposive sampling merupakan metode penarikan sampel yang digunakan dengan kriteria responden adalah pemilik UMKM dan sudah beroperasi minimal 1 tahun. Jumlah sampel yang digunakan 191 responden UMKM di Jabodetabek dengan menggunakan alat analisis SEM. Hasil temuan menunjukkan human capital tidak terbukti berpengaruh positif terhadap financial literacy sementara social capital terbukti berpengaruh positif terhadap financial literacy, human capital dan social capiatl tidak terbukti berpengaruh positif terhadap access to finance, variabel kontrol umur perusahaaan dan ukuran perusahaan terbukti berpengaruh positif terhadap access to finance dan access to finance terbukti mempengaruhi kinerja UMKM secara positif.
Keladi-Sagu, Si-Ipar: Implementasi Kebijakan Binmas Noken di Kota Jayapura
Authors: Kendek Piter , Silo Akbar
Published: September 2024

This article discusses the implementation of the BINMAS Noken policy in Jayapura City, focusing on the factors that support or hinder its effectiveness. The research method used is descriptive qualitative, with data collected through interviews and observations. The analysis process includes data reduction, presentation, and conclusion drawing. The study found that the implementation of BINMAS Noken in Jayapura City consists of two programs: Si-Ipar, which focuses on “Polisi pi Ajar”(Police teaching the kids), and Keladi-Sagu, which “Kesehatan Lambang Diri Sehat Guna” (promotes self-use of health symbols). The communication aspect involves structured distribution with inter-agency coordination, utilizing social media as a communication medium both internally and with the community. The program also involves the Binmas apparatus and supporting resources. The task force receives incentives to enhance performance and demonstrates consistency and commitment to the program. The bureaucratic structure follows standard operating procedures. Internal supporting factors include high motivation and enthusiasm for work, as well as incentives for task force personnel. Externally, the local government is supportive, collaborating in program preparation and implementation. However, there are internal inhibiting factors such as personnel with double duties and inadequate logistical support, resulting in delays. Externally, community participation is limited due to a lack of motivation and involvement.
STUDENTS’ ENGAGEMENT IN ENGLISH LANGUAGE COURSE
Authors: Hasdina Niken , Sofyawati Eva Devi , Dewi Sinta , Oktarina Hanifah
Published: September 2024

This study aims to analyze the types of student engagement shown by students in the English Language Course. The second objective is to find out the factors that influence student engagement. This research was conducted on 8th grade students at Garut High School. To achieve these objectives, qualitative research with a case study design was used with observation and interview data collection techniques. The sample for this study consisted of 35 students. Out of all the participants, three participated in the interview. The results showed that there were three types of student engagement found, namely cognitive engagement, behavioral engagement, and affective engagement. It was found that the most dominant type was cognitive engagement. The results also show that the five factors presented by Fredricks, Blumenfeld, and Paris (2004) influence student engagement in English language courses. The five factors are: school level, teacher support, peers, classroom structure, and task characteristics.
Students' errors in solving math problems in the form of stories on the topic of sequences and series
Authors: Yusup Muhammad
Published: September 2024

This study investigates the common errors made by students when solving math problems presented as story problems, specifically within the topic of sequences and series. Utilizing a qualitative descriptive approach, the research analyzes the types and frequencies of errors encountered by students, aiming to identify underlying misconceptions and gaps in understanding. Data were collected from a sample of Smk Tarbiyatul Aulad Cikajang students through written tests and follow-up interviews. The results reveal that students often struggle with interpreting the narrative of story problems, translating real-world scenarios into mathematical expressions, and applying the correct formulas for sequences and series. Additionally, the study highlights the impact of poor problem-solving strategies and insufficient practice in dealing with contextual math problems. These findings underscore the need for targeted instructional interventions that address specific misconceptions and enhance students' ability to tackle story problems effectively in the context of sequences and series.
Studi ini menyelidiki kesalahan umum yang dilakukan siswa saat memecahkan soal matematika yang disajikan sebagai soal cerita, khususnya dalam barisan dan deret. Dengan menggunakan pendekatan deskriptif kualitatif, penelitian ini menganalisis jenis dan frekuensi kesalahan yang dialami siswa, yang bertujuan untuk mengidentifikasi kesalahpahaman dan kesenjangan pemahaman yang mendasarinya. Data dikumpulkan dari sampel siswa Smk Tarbiyatul Aulad Cikajang melalui tes tertulis dan wawancara lanjutan. Hasilnya mengungkapkan bahwa siswa sering kali kesulitan menafsirkan narasi soal cerita, menerjemahkan skenario dunia nyata ke dalam ekspresi matematika, dan menerapkan rumus yang benar untuk barisan dan deret. Selain itu, penelitian ini menyoroti dampak dari strategi pemecahan masalah yang buruk dan praktik yang tidak memadai dalam menangani soal matematika kontekstual. Temuan ini menggarisbawahi perlunya intervensi instruksional yang ditargetkan yang mengatasi kesalahpahaman tertentu dan meningkatkan kemampuan siswa untuk menyelesaikan soal cerita secara efektif dalam konteks barisan dan deret.
Students' errors in algebraic form operations based on newman's criteria
Authors: Saputra Yugi Ananda , Cesaria Anna
Published: September 2024

This study aims to analyze the mistakes often made by grade 11 high school students in solving algebraic operations questions based on Newman's criteria. The research method used was descriptive qualitative by collecting data through algebraic operation tests and observations on grade 11 high school students. The research results showed that students often made mistakes in the basic steps of algebraic operations such as distributive, associative, and commutative. These errors arise due to a lack of understanding of basic algebra concepts. Apart from that, some students also tend to be confused in applying Newman's criteria, which refers to understanding concepts in solving problems. Another factor that influences student errors is the lack of practice in working on algebraic operations problems. Students need more practice to deepen understanding of concepts and improve skills in solving algebra problems. Apart from that, the teacher's role in providing more interactive learning and motivating students to actively ask questions and discuss can also help reduce student errors. This research contributes to further understanding regarding the obstacles faced by grade 11 high school students in solving algebraic operations problems. The implication of this research is the need to develop more effective learning methods and increase the frequency of practice to help students understand algebra concepts better.
Penelitian ini bertujuan untuk menganalisis kesalahan yang sering dilakukan oleh siswa kelas 11 SMA dalam menyelesaikan soal operasi bentuk aljabar berdasarkan kriteria Newman. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan mengumpulkan data melalui tes operasi bentuk aljabar dan observasi pada siswa kelas 11 SMA.Hasil penelitian menunjukkan bahwa siswa seringkali melakukan kesalahan dalam langkah-langkah dasar operasi aljabar seperti distributif, asosiatif, dan komutatif. Kesalahan tersebut muncul karena kurangnya pemahaman konsep dasar aljabar. Selain itu, beberapa siswa juga cenderung bingung dalam menerapkan kriteria Newman yang mengacu pada pemahaman konsep dalam menyelesaikan soal.Faktor lain yang memengaruhi kesalahan siswa adalah kurangnya latihan dalam mengerjakan soal operasi aljabar. Siswa perlu lebih banyak berlatih untuk memperdalam pemahaman konsep dan meningkatkan keterampilan dalam menyelesaikan soal aljabar. Selain itu, peran guru dalam memberikan pembelajaran yang lebih interaktif dan memotivasi siswa untuk aktif bertanya dan berdiskusi juga dapat membantu mengurangi kesalahan siswa. Penelitian ini memberikan kontribusi dalam pemahaman lebih lanjut terkait hambatan yang dihadapi siswa kelas 11 SMA dalam menyelesaikan soal operasi bentuk aljabar. Implikasi dari penelitian ini adalah perlunya pengembangan metode pembelajaran yang lebih efektif dan peningkatan frekuensi latihan untuk membantu siswa memahami konsep aljabar dengan lebih baik.
Online mathematics learning during the covid-19 pandemic using the whatsapp application
Authors: Agustina Pranitha
Published: September 2024

This study aims to determine how the analysis of mathematics learning during the COVID-19 pandemic is online based using the WhatsApp application. This type of research uses descriptive qualitative. The data collection method used was interview guidelines, observation sheets, and documentation in seeing how mathematics was learned during the COVID-19 pandemic. The results of this study aim to see how mathematics learning during the COVID-19 pandemic is based online using the WhatsApp application.
Penelitian ini bertujuan untuk mengetahui bagaimana analisis pembelajaran matematika pada masa pandemi COVID-19 berbasis daring menggunakan aplikasi WhatsApp. Jenis penelitian ini menggunakan Kualitatif deskriftif. Metode pengambilan data yang digunakan pedoman wawancara, lembar observasi dan dokumentasi dalam melihat bagaimana pembelajaaran matematika pada masa pandemi COVID-19. Hasil  penelitian ini bertujuan untuk melihat bagaimana pembelajaran matematika pada masa pandemi COVID-19 berbasis daring dengan menggunakan aplikasi WhatsApp.
Eksplorasi etnomatematika pada aktivitas masyarakat petani di kecamatan gondanglegi kabupaten malang
Authors: Septia Tika , Nuraini Ani , Wahyu Rahma
Published: September 2024

This study aims to determine ethnomathematical activities in rice farming activities in Bulupitu Village. The research was conducted in Bulupitu Village, Gondanglegi District, and Malang Regency using ethnographic qualitative methods. The results showed that mathematical activities appeared in rice farming activities, namely counting, measuring, and counting. The counting activity appears when the farmer counts the number of paddy seeds and the paddy field area. Measuring activities seen when measuring rice planting and calculating activities most often occur in mathematical concepts, for example, when fertilizing and distributing wages that agricultural workers or laborers will obtain. Different agricultural terms commonly used by the people of Bulupitu come from the Madurese language, as well as the non-formal unit term used to measure, namely the shoulder unit. The discovery of activities that arise in rice farming activities can be used as a reference for learning mathematics.
Penelitian ini bertujuan untuk mengetahui kegiatan etnomatematika pada aktivitas pertanian padi di Desa Bulupitu. Dengan menggunakan metode kualitatif etnografi, penelitian dilakukan di Desa Bulupitu, Kecamatan Gondanglegi Kabupaten Malang. Hasil penelitian menunjukkan terdapat aktivitas matematika yang muncul pada kegiatan pertanian padi yaitu membilang, mengukur, dan menghitung. Aktivitas membilang muncul pada saat petani membilang jumlah benih padi dan luas sawah. Aktivitas mengukur yang terlihat pada saat pengukuran penanaman padi dan Aktivitas menghitung ini paling sering muncul pada konsep matematika contohnya saat dalam proses pemupukan dan pembagian upah yang akan diperoleh oleh para pekerja/buruh petani. Terdapat istilah-istilah pertanian berbeda yang biasa digunakan masyarakat Bulupitu yang berasal dari bahasa Madura, serta terdapat istilah satuan non formal yang digunakan unutk mengukur yaitu satuan bahu. Penemuan aktivitas-aktivitas yang muncul pada kegiatan pertanian padi tersebut diharapkan dapat dijadikan sebagi acuan pembelajaran Matematika.
Kemandirian belajar matematis siswa menengah atas melalui flipped classroom learning
Authors: Damayanti Desi , Afriansyah Ekasatya Aldila
Published: September 2024

This research aims to find out the self-regulated learning of mathematics in senior high school students through flipped classroom learning. The self-regulated learning of students in mathematics is very important because it will affect learning outcomes and problem-solving skills in mathematics. The selection of subjects in this study was 6 students of X MIPA 4 in SMAN 18 Garut with high, medium, and low characteristics on early math skills. Sampling techniques are purposive sampling with descriptive qualitative research methods. Data collection techniques include field records, questionnaires, and interviews. Research instruments are teachers’ journals, questionnaires, and question lists. Analysis of data are reduction data, presentation data, and conclusion. The result is that 71.1% of students have self-regulated learning, which means most of the students in senior high school have self-regulated learning through flipped classroom learning.
Penelitian ini bertujuan untuk mengetahui kemandirian belajar matematis siswa menengah atas melalui flipped classroom learning. Kemandirian belajar siswa dalam pembelajaran matematika sangat penting karena akan berpengaruh pada hasil belajar dan kemampuan pemecahan masalah matematis. Pengambilan subjek dalam penelitian ini adalah 6 siswa kelas X MIPA 4 di SMAN 18 Garut dengan karakteristik tinggi, sedang, dan rendah pada kemampuan awal matematisnya. Teknik pengambilan sampel adalah purposive sampling dengan metode penelitian kualitatif deskriptif. Teknik pengambilan data berupa catatan lapangan, penyebaran angket, dan wawancara. Instrumen penelitian berupa jurnal guru, kuisioner, dan daftar pertanyaan. Analisis data melalui tahapan reduksi data, penyajian data, dan penarikn kesimpulan. Didapat 71.1% siswa mempunyai kemandirian belajar, artinya sebagian besar siswa menegah atas mempunyai kemandirian belajar melalui flipped classroom learning.
Visualising Data Models of Patient Registries and Clinical Studies – A Method for Quality Check of EDC Systems
Authors: Coldewey Beatrice , Honrath Philipp , Wolking Stefan , Niemeyer Anna , Röhrig Rainer , Weber Yvonne , Lipprandt Myriam
Published: September 2024

Introduction: The configuration of electronic data capture (EDC) systems has a relevant impact on data quality in studies and patient registries. The objective was to develop a method to visualise the configuration of an EDC system to check the completeness and correctness of the data definition and rules. Methods: Step 1: transformation of the EDC data model into a graphical model, step 2: Checking the completeness and consistency of the data model, step 3: correction of identified findings. This process model was evaluated on the patient registry EpiReg. Results: Using the graphical visualisation as a basis, 21 problems in the EDC configuration were identified, discussed with an interdisciplinary team, and corrected. Conclusion: The tested methodological approach enables an improvement in data quality by optimising the underlying EDC configuration.
De-Identifying GRASCCO – A Pilot Study for the De-Identification of the German Medical Text Project (GeMTeX) Corpus
Authors: Lohr Christina , Matthies Franz , Faller Jakob , Modersohn Luise , Riedel Andrea , Hahn Udo , Kiser Rebekka , Boeker Martin , Meineke Frank
Published: September 2024

Introduction: The German Medical Text Project (GeMTeX) is one of the largest infrastructure efforts targeting German-language clinical documents. We here introduce the architecture of the de-identification pipeline of GeMTeX. Methods: This pipeline comprises the export of raw clinical documents from the local hospital information system, the import into the annotation platform INCEpTION, fully automatic pre-tagging with protected health information (PHI) items by the Averbis Health Discovery pipeline, a manual curation step of these pre-annotated data, and, finally, the automatic replacement of PHI items with type-conformant substitutes. This design was implemented in a pilot study involving six annotators and two curators each at the Data Integration Centers of the University Hospitals Leipzig and Erlangen. Results: As a proof of concept, the publicly available Graz Synthetic Text Clinical Corpus (GRASSCO) was enhanced with PHI annotations in an annotation campaign for which reasonable inter-annotator agreement values of Krippendorff’s α ≈ 0.97 can be reported. Conclusion: These curated 1.4 K PHI annotations are released as open-source data constituting the first publicly available German clinical language text corpus with PHI metadata.
Adoption of Machine Learning Methods for Crop Yield Prediction-based Smart Agriculture and Sustainable Growth of Crop Yield Production – Case Study in Jordan
Authors: Nuser Moneer , Alshirah Mohammad , Al Mashaqbeh Sahar , Alghsoon Rayeh
Published: September 2024

Crop yield prediction is significant for global food security and economic systems. Numerous algorithms for machine learning have been utilized to support crop yield prediction due to the increasing complexity of factors influencing plant growth. Machine learning (ML) models are quite tedious because the models of ML for agriculture-based are complex. This study combines several models to build a sturdy and accurate model. Linear regression predicts a measurable response using various predictors and assumes a linear relation between the response variable and predictors. This research study explores the adoption of machine learning methods for crop yield prediction and their potential to support sustainable growth of crop yields. The dataset was collected from two main sources: i) the Department of Statistics Jordan and ii) the climate change knowledge portal, which is used to train the proposed model; and the availability of large datasets has cleared the path for the application of ML techniques in crop yield prediction. Nine ML regression analysis algorithms were tested to predict the crop yield; more than one algorithm gave very good results in prediction. XGBoost, multiple linear regression, Random forest, and Lasso regression give low mean squared errors of 0.092, 0.024, 0.023, and 0.023. Crop prediction may be remarkably useful from ML algorithms, but there are many challenges. One of these challenges is the quality of the data and the data volume, where machine learning algorithms need large data. Further, because of the intricacy of agriculture systems, developing ML models can be challenging. In this research study, the strengths of optimization and machine learning are integrated to build a new predictive model for crop yield prediction. The developed integrated model in this study contributes to increasing the efficiency of crop production, and reducing prices when food shortages are found. In addition, the proposed model supports the crop prediction process, where crop prediction has a vital role in agricultural planning and procedures for making decisions. ML algorithms are an essential instrument for decision assistance for crop prediction, either in supporting decisions on the suitable to grow. The algorithm's performance may be improved by applying more innovative techniques. The developed model helps policymakers on precise forecasts, to make suitable evaluations of imports and exports to strengthen food security nationwide.
Impact of high blends of Madhuca Logifolia biodiesel on the performance, combustion and emission parameters in a CRDI diesel engine at variable compression ratio
Authors: Himani Parekh Himani  , Nikul Patel  , Bhavesh Pathak
Published: September 2024

The country today uses a variety of industrial and transportation facilities that are fueled by diesel fuel. However, because of its non-sustainable and polluting nature, there is an urgent need for a more environmentally acceptable substitute that can be utilized in existing engines with no or little modification. Madhucalongifolia (Mahua) was considered a main source for biodiesel production based on its availability and its nature to not impact the food chain. The raw oil was converted to biodiesel using the process of transesterification. The higher blends of B80 (80% mahua biodiesel, 20% diesel by vol.) and B90 (90% mahua biodiesel, 10% diesel by vol.) were prepared. The experiment was carried out using an eddy current dynamometer and involved a Kirloskar 4-stroke single-cylinder which was water-cooled, CRDI diesel engine. The base run was generated using 18:1 compression ratio diesel fuel. These outcomes were contrasted with identical engine conditions using blends of B80 and B90 biodiesel as fuel. The most favourable results in terms of the engine parameters ie. BTE, SFC, cylinder pressure, HC, NOx and CO were as stated here. There was an increase of 8.87% in BTE for the B90 blend. A minor increase of 2.77% in SFC was observed with the B90 blend. The cylinder pressure for B90 was decreased by 0.024%. The emissions for B80 and diesel were lesser in comparison to B90. Diesel showed the lowest CO (7.9%) emissions whereas HC and NOx for B80 decreased by 24.39% and 3.42% respectively. The engine was made to run at two lower compression ratios of 16 and 17. When using a fuel blend of B80 at a compression ratio of 16, the performance metrics were significantly better. It could be concluded that, the compatible results were found with B80 biodiesel blend with compression ratio of 16. The BTE, SFC, cylinder pressure, HC, NOx and CO were quantified as 25.61%, 0.34kg/kWh, 30.27 bar, 50ppm, 1204 ppm and 0.24% by volume respectively. In comparison to the base run (diesel fuel and compression ratio of 18), there was 15.98% increase in the BTE, 5.55% decrease in the SFC, 16.07% decrease in the cylinder pressure, 21.95% decrease in the emission of HC, 23.55% decrease in NOx and 9.09% increase in CO emissions.
Pelatihan Membuat Produk Usaha Santri Yayasan Nurul Ikhsan Sebagai Bekal Menjadi Wirausaha
Authors: Maghfiroh yanuarti  , Umi Rusilawati  , Raden Roro Metarini
Published: September 2024

Tujuan dari Kegiatan Pengabdian Kepada Masyarakat adalah untuk melaksanakan salahsatu Tri Darma Perguruan Tinggi. Selain itu diharapkan dengan pengabdian kepada masyarakattersebut keberadaan perguruan tinggi dapat memberikan kontribusi besar kepada pengembangandan penerapan keilmuan kepada masyarakat khususnya pada santri di Yayasan nurul ihsan.Metode yang digunakan pada Pengabdian Kepada Masyarakat ini berupa penyampaian materisecara langsung dengan sasaran santri di Yayasan nurul ihsan dan melaksanakan praktek secaralangsung dalam pembuatan produk berwirausaha.Kewirausahaan adalah sebuah proses menciptakan sesuatu agar bisa bernilai tambahdalam ekonomi. Kewirausahaan merupakan sebuah sikap mental seseorang yang memilikikreativitas yang tinggi. Seseorang yang memiliki jiwa kewirausahaan adalah orang yang aktif,unik, berdaya guna membuat sesuatu, serta bermanfaat bagi banyak orang. Pada kegiatan ini parasantri memperoleh ilmu yang diberikan narasumber berupa materi mengenai kewirausahan danjuga cara membuat produk usaha yang inovatif. Karena inovasi sebuat produk tidak lepas dari duakriteria utama yakni kebaruan (novelty) dan perbaikan (improvement). Kebaruan disini tidakharus berupa menciptakan sebuah produk baru tapi juga bisa pada sisi nilai guna, kondisi danaplikasinya. Kriteria improvement disini dimaksudkan pencarian alternative terbaik yang palingefisien dan efektif untuk sebuah proses maupun sebuah produkKata Kunci: produk usaha, kewirausahaan
Deteksi Leukemia Limfoblastik Akut menggunakan Convolutional Neural Network
Authors: Akbar Mutaqin , Prasetyaningrum Putri Taqwa , Setyaningsih Putry Wahyu , Ahsan Moh , Budianto Alexius Endy
Published: September 2024

Leukemia limfoblastik akut merupakan jenis leukemia anak yang paling penting, dan menyumbang 25% dari kanker anak. Membedakan secara akurat prekursor sel normal dari sel kanker adalah kunci diagnosis leukemia limfoblastik akut. Namun, di bawah mikroskop, sel kanker sangat mirip dengan sel normal sehingga sulit untuk mengklasifikasikannya. Artikel ini menyajikan deteksi sel leukemia limfoblastik akut menggunakan Convolutional Neural Network (CNN). Dataset diperoleh dari ALL_IDB sejumlah 582 data citra berwarna yang dibagi menjadi 482 data citra latih dan 100 data citra uji. Data citra tersebut akan diubah ukurannya menjadi 128x128x3 sebelum akhirnya menjadi masukan dari model CNN. Model CNN yang digunakan adalah multi-scale CNN yang terdiri dari 3 lapisan konvolusi (ukuran filter 3x3, jumlah filter untuk masing-masing lapisan konvolusi yakni berurutan 32, 64, dan 128, dan fungsi aktivasi ReLU), 3 lapisan subsampling menggunakan maxpool dengan ukuran filter 2x2, 1 lapisan penggabungan yang digunakan untuk menggabungkan keluaran dari masing-masing lapisan subsampling, 1 lapisan fully-connected dengan fungsi aktivasi softmax dan fungsi galat cross-entropy, dan terakhir lapisan keluaran dengan jumlah kelas 2 yakni sel normal dan sel kanker. Model CNN akan dilatih menggunakan algoritma pelatihan Adam optimizer dengan laju pelatihan 0.0002 dan dilakukan iterasi sebanyak 20 kali. Berdasarkan hasil pelatihan setelah diiterasi sebanyak 20 kali, didapatkan nilai galat terkecil yakni 0,0001 dan nilai akurasi terbesar yakni 100% pada epoch ke-20. Model CNN kemudian diuji dengan 100 data citra uji dan menghasilkan tingkat akurasi 98% dan nilai galat 0,0482.