bluuebunny/crossref_metadata_2025 huggingface dataset:
Is CT pulmonary angiography overutilized in the evaluation of patients with suspected pulmonary embolism? A retrospective study
Authors: Daoud Rabbani Mahmoud , Mohamed Ahmed Majeed , Almajthoob Muath Salahuddin , Fredericks Salim , Daoud Israa ElSayed , Daoud Moath Mahmoud , AlSaeed Mahmood
Published: January 2025

Introduction

Despite the high mortality rate of acute untreated pulmonary embolism (PE) at 30%, diagnosing PE is challenging. While the prevalence of PE has decreased in recent years, the overuse of computed tomography pulmonary angiography (CTPA) remains a concern. The National Institute for Health and Care Excellence (NICE) provides guidelines using the Wells score for PE assessment. The Royal College of Radiologists (RCR) recommends a positive yield of 15.4% - 37% for CTPA tests. This study assesses the positive yield of CTPA for suspected PE patients and evaluates the potential reduction through Wells score/D-dimer assessment as recommended by NICE.

Methods

All patients who underwent CTPA between September 1, 2019, and January 31, 2020, at Salmaniya Medical Complex were included. Data on patient demographics and pre-CTPA workup were collected from electronic patient records (EPR) and stored in MS Excel 2019 for analysis.

Results

Of 188 suspected PE patients (mean age 50 ±12.3 years; 62.8% female), 12.2% were diagnosed with PE. None had documented Wells scores. A low-risk Wells score (≤4) was assigned to 68.6% of patients, with only 26.1% undergoing D-dimer testing. PE was confirmed in 4 patients with low-risk Wells scores and elevated D-dimers. All 10 patients with low-risk Wells scores and negative D-dimers were PE-negative.

Conclusion

In total, 5.3% - 47.9% of the CTPAs conducted could have been avoided by following NICE guidelines. We propose integrating an algorithm-based checklist with validated tools like the Wells and Geneva scores into the ePMA system to guide appropriate CTPA referrals, promote evidence-based decision-making, reduce unnecessary imaging, and optimize patient care and resource use.
El especialista en ergonomía: perfil que promueve la innovación y la gestión para el bienestar de las personas
Authors: Martínez-Álvarez Luz América , Afanador-Rodríguez María Isabel
Published: January 2025

El objetivo de la investigación es destacar el perfil del especialista en ergonomía desde una propuesta de diseño curricular de la Institución Universitaria Antonio José Camacho (Cali, Colombia), mediante reflexiones y análisis acerca de cómo estos profesionales pueden contribuir a la innovación y gestión diseñando soluciones efectivas que mejoren la calidad de vida y la productividad de las personas. Se empleó una metodología mixta que incluyó: a) revisión de literatura especializada y análisis de programas de especialización en ergonomía, b) entrevistas a 74 ergónomos, incluyendo egresados de la UNIAJC y otras universidades de América Latina, c) estudios de caso sobre implementación de soluciones ergonómicas, y d) síntesis de resultados mediante análisis cualitativo. Se plantea un perfil del ergónomo capaz de generar soluciones innovadoras y ajustes razonables que contribuyan a la gestión ergonómica, a partir de la evaluación de las interacciones de los componentes del sistema ergonómico en el ámbito laboral y social, y la comprensión de las diferentes poblaciones y sus actividades. El programa se distingue por su énfasis en la innovación social, el trabajo con poblaciones diversas y la integración de tecnologías emergentes en la práctica ergonómica.
Simulation of the fluid flow pattern and property estimation for bio-diesel plant design
Authors: Rafiu O. KUKU  , Adeshola O. OPENIBO  , Faruq O. LAMINA  , Wuraola A. RAJI
Published: January 2025

The fluid flow pattern that occurs in the bio-diesel production process is related to viscosity, flow velocity, and pressure. Fluid flow is a paramount cause of failure in pipes in several industries. The heat transfer cause across pipes needs to be analyzed to avoid failure during operation.
The simulation and visualization of fluid flow in the plant pipes were developed for the pressure drop along with the length of the pipe. Flow patterns was analyzed using a Computational Fluid Dynamics model approach (CFD). The CFD within the ANSYS environment has three important stages, namely pre-processing, finding solutions, and post-processing. Mesh was generated and the material properties were assigned. The boundary conditions were stipulated, and the process analyzed to ensure convergence of the solution in a stable state.
High density of the blend was observed for 40% bio-diesel blend and low density at 5% bio-diesel blend. The results of the correlation analysis shows that density is directly proportional to bio-diesel content. The density-composition depict a uniform increasing density value with percentage bio-diesel mixture content. The viscosity slightly increases with bio-diesel content. There is a clear trend of viscosity increasing proportional to bio-diesel content. The simulation ensures that the parameters for the design and fabrication of the bio-diesel reactor as obtained from the simulation results is optimal.
AI-driven supply chain optimization for enhanced efficiency in the energy sector
Authors: Ekene Cynthia Onukwulu  , Ikiomoworio Nicholas Dienagha  , Wags Numoipiri Digitemie  , Peter Ifechukwude Egbumokei
Published: January 2025

Artificial Intelligence (AI) has revolutionized supply chain management, offering significant potential for optimizing efficiency in the energy sector. The integration of AI-driven technologies into supply chain processes enables predictive analytics, real-time monitoring, and automated decision-making, which contribute to improving operational performance, reducing costs, and enhancing sustainability. This paper explores the role of AI in optimizing supply chains within the energy industry, focusing on key areas such as demand forecasting, inventory management, transportation, and maintenance scheduling. AI-driven algorithms can analyze vast amounts of data to predict demand patterns, allowing energy companies to optimize inventory levels and minimize the risks associated with overstocking or stockouts. Furthermore, AI can enhance logistics and transportation efficiency by optimizing routes, reducing fuel consumption, and improving delivery timelines, leading to significant cost savings. AI's impact extends to predictive maintenance, where machine learning models can analyze sensor data to predict equipment failures before they occur, minimizing downtime and maintenance costs. This capability is particularly crucial in the energy sector, where equipment reliability is vital for uninterrupted service delivery. Additionally, AI-driven supply chain optimization promotes sustainability by optimizing energy use, reducing waste, and improving resource management. It enables energy companies to meet regulatory standards, achieve sustainability targets, and enhance corporate social responsibility (CSR) initiatives. In conclusion, AI-driven supply chain optimization offers transformative benefits for the energy sector by enhancing efficiency, reducing costs, and promoting sustainability. As AI technologies continue to evolve, their application in supply chain management will become increasingly critical for the energy sector’s competitiveness and operational excellence. This paper highlights the need for energy companies to embrace AI technologies to maintain a competitive edge, reduce environmental impact, and improve overall supply chain resilience. The future of supply chain optimization in the energy sector lies in the continued adoption and integration of AI for smarter, more efficient, and sustainable operations.
Development and validation of UV spectroscopic method for the quantification of bempedoic acid in bulk and marketed product
Authors: J Kushal, Manu Y  , Anand Kumar Y  , Srinivasulu N  , Madhusri C  , Keerthana Shetty
Published: January 2025

Simple, rapid and precise UV spectroscopic method using two solvent blends such as Methanol: Distilled water 3:1 (DW) and Acetonitrile: Distilled water 3:2 (DW) were developed for the estimation of Bempedoic acid in bulk and marketed tablets as per ICH guidelines. The two proposed solvent blends validated for linearity, accuracy, precision, robustness, ruggedness and solution stability. The percent recoveries in the marketed tablet formulations were found to be good agreement with the label claim. The UV method validated statistically and the results suggest proposed solvent blends can employed for the routine analysis of Bempedoic acid in bulk and marketed tablet formulations.
Clinical features of pediatric spinal tuberculosis at tertiary general hospital
Authors: Brilliant Deva Aspada  , Komang Agung Irianto Suryaningrat  , Pudji Lestari  , Primadenny Ariesa Airlangga
Published: January 2025

Spinal Tuberculosis is a secondary tuberculosis due to hematogenous spread from the primary infection site (lungs) caused by the bacteria Mycobacterium tuberculosis and is chronic-destructive in nature which attacks the spine. Manifestations in the form of deformity can also be cosmetically disturbing and will certainly reduce the sufferer's quality of life. The diagnosis of Spinal Tuberculosis is difficult and it commonly presents at an advanced stage. This retrospective study was performed at tertiary general hospital to identify the demographic and presenting clinical features of pediatric Spinal Tuberculosis population. Based on demographic characteristics, it was found that majority patients were female (59.34%) and in the range of 13-18 years old (52.75%). Based on diagnostic characteristics, it was found that majority of the lesions involved the thoracic spine (72.52%), majority of Kyphotic Angle in the range of 0-40 degrees (32.97%), more patients with vertebral collapse damage levels, types of deformity changes, complications of spinal stenosis, the main complaint is back pain and usually followed by weakness in the legs, and the most common patient laboratory results are increased WBC (White Blood Cells), decreased Hgb (Hemoglobin), and increased ESR (Erythrocyte Sedimentation Rate).
Hijab dan Kontestasi Citra Perempuan dalam Ruang Publik
Authors: Mahfudhoh Roudhotul
Published: January 2025

Penelitian ini menyajikan sorotan mendalam terhadap peran hijab sebagai simbol identitas perempuan dalam perang gambar di panggung ruang publik. Melalui pertanyaan-pertanyaan tajam, penelitian ini menyelidiki bagaimana hijab mempengaruhi pandangan masyarakat terhadap esensi identitas perempuan, serta mengupas lapisan kompleksitas dalam pertarungan citra perempuan di arena publik. Dalam perubahan dinamika sosial dan budaya yang cepat, penelitian ini tidak hanya relevan, tetapi juga esensial dalam pelestarian kisah-kisah yang tersembunyi di balik pakaian dan representasi perempuan. Keunggulan penelitian ini terletak pada dorongan mendalam untuk memahami dampak hijab terhadap perspektif masyarakat terhadap citra perempuan, sambil meneliti dengan cermat dinamika ketegangan citra perempuan di panggung ruang publik. Hasil penelitian diantisipasi untuk menghadirkan pandangan yang lebih tajam dan pemahaman yang lebih kaya terhadap peran hijab dalam membentuk identitas perempuan, dan bagaimana citra perempuan berkembang atau bertahan dalam sorotan publik. Dengan fokus pada analisis interaksi sosial dan dampak hijab terhadap representasi perempuan, penelitian ini menjelajahi wilayah baru dengan metode observasi partisipatif, wawancara mendalam, dan analisis konten media massa. Harapannya, penelitian ini tidak hanya menjadi jendela pembuka terhadap kompleksitas hubungan antara hijab, identitas perempuan, dan pertarungan citra, tetapi juga memberikan kontribusi berharga untuk melangkah maju dalam pemikiran mengenai keberagaman dan kompleksitas identitas perempuan di masyarakat tengah-tengah kontemporer.
Konsep Kepemimpinan Profetik dalam Pendidikan Islam
Authors: Jafari Muhammad , Maghribi Hamdan , Salman Abdul Matin bin
Published: January 2025

Penelitian ini bertujuan untuk memahami dan menganalisis konsep kepemimpinan profetik dalam pendidikan Islam. Dalam dunia pendidikan Islam, kepala madrasah adalah sebagai pemimpin suatu lembaga dan memegang peran penting dalam memberikan pengaruhnya kepada anggota-anggotanya. Salah satu konsep yang dapat diterapkan oleh kepala madrasah yaitu dengan melaksanakan konsep kepemimpinan profetik. Kepemimpinan profetik adalah pendekatan untuk memimpin seseorang dengan mengacu pada sifat dan prinsip kenabian. Kepemimpinan tersebut selain bersifat bersifat moral terhadap Sang Pencipta (ḥablun minallāh) di mana dia bertanggung jawab secara moral untuk kepemimpinannya, juga bersifat vertikal-formal atau ḥablun minannās, terhadap orang lain. Kepemimpinan profetik Islam harus mampu menerapkan dengan benar dan efektif dengan meneladani sifat-sifat kepemimpinan Nabi Muhammad Saw, yaitu siddīq, amanah, faṭanah, dan tablīg. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi pustaka. Sumber yang digunakan yaitu buku-buku dan jurnal yang relevan. Kemudian data dianalisis dengan model Miles dan Huberman, yaitu kondensasi data, penyajian data dan penarikan kesimpulan. Penelitian ini memberikan kesimpulan bahwa dalam menerapkan kepemimpinan profetik terdapat beberapa cara, yaitu (1) memulai dan melakukan dari diri sendiri, (2) menjadi teladan, (3) berkomunikasi secara efektif, (4) memiliki kedekatan dengan umat, (5) memberi motivasi, (6) mampu mempengaruhi, dan (7) memiliki etika.
Peran Ikhwanul Muslimin terhadap Dinamika Demokrasi di Timur Tengah: Studi Kasus Mesir
Authors: Aldrian Aldrian , Chilwina Nadhita , Priyanto Asgar Naufala , Wargadinata Wildana , Bahruddin Uril
Published: January 2025

Kajian tentang Peran Ikhwanul Muslimin terhadap Dinamika Demokrasi di Mesir sangat penting dikaji. Hal ini disebabkan demokrasi telah menjadi harapan besar bagi masyarakat Timur Tengah yang hingga saat ini terus menghadapi berbagai gejolak politik, salah satunya Mesir. Penelitian ini bertujuan untuk menguraikan strategi atau kebijakan yang telah diterapkan oleh Ikhwanul Muslimin dalam mendukung perkembangan demokrasi di negara Mesir serta dampak-dampak yang telah dirasakan oleh masyarakat Penelitian ini merupakan kajian kepustakaan (Library Research) dengan metode kualitatif melalui pendekatan historis dalam memecahkan permasalahan. Data-data tentang demokrasi di Mesir diambil dari sumber-sumber primer yang berkaitan dengan sejarah dan peran Ikhwanul Muslimin dalam demokrasi di Mesir berupa buku-buku, artikel jurnal yang relevan dengan penelitian ini. Adapun teknik pengumpulan data adalah teknik penelitian pustaka dengan analisis dokumen. Teknik analisis data yang digunakan adalah teknik milik Miles dan Huberman, yaitu: Reduksi data, pemaparan data, dan penarikan kesimpulan. Hasil dari penelitian ini adalah adanya 3 strategi Ikhwanul Muslimin terhadap dinamika demokrasi Mesir sebagai berikut: 1. Ikhwanul Muslimin mendorong reformasi politik; 2. Ikhwanul Muslimin meningkatkan kesadaran masyarakat Mesir terhadap demokrasi; 3. Ikhwanul Muslimin berpartisipasi dalam politik dan meningkatkan partisipasi politik masyarakat.
Peran Mediasi dalam Penyelesaian Sengketa Waris: Studi Putusan No. 545/Pdt. G/2019/Pa.Dps Pengadilan Agama Denpasar
Authors: Hamit Zairil , Risnawati Melia , Elfia Elfia , Zulfan Zulfan
Published: January 2025

Artikel ini mengkaji bagaimana peranan mediasi dalam menyelesaikan sengketa kewarisan yang tertera pada akta perdamaian sengketa waris putusan Nomor. 545/pdt. G/2019/Pa.Dps. Penelitian bertujuan untuk melihat peranan mediasi dalam menyelesaikan sengketa kewarisan di pengadilan agama Denpasar. Penelitian ini menggunakan metode penelitian hukum normatif dengan mengunakan data sekunder berupa hasil putusan nomor 545/Pdt.G/2019/PA.Dps dan undang-undang yang terkait dengan hukum waris serta bahan hukum seperti buku, jurnal, dan sumber referensi lainnya yang dianggap relevan. Adapun hasil temuannya adalah bahwa peneyelesaian sengketa kewarisan dalam putusan Nomor. 545/pdt. G/2019/Pa.Dps. Dilakukan dengan meninjau, menginterpretasikan, dan membandingkan norma hukum yang relevan dengan kasus yang diteliti. Penulis menunjukkan bagaimana mediasi diimplementasikan dalam kasus spesifik tersebut, serta bagaimana mediasi tersebut berhasil membawa pihak-pihak yang bersengketa pada kesepakatan yang damai dan saling menguntungkan, meskipun mengesampingkan ketentuan bagian dalam hukum Islam namun, berhasil didamaikan secara kekeluargaan dan mufakat serta mengesampingkan ketentuan bagian dalam hukum Islam. Hal ini menunjukan bahwa mediasi berperan aktif dalam menyelesaikan perselisihan keluarga terkait dalam masalah warisan. Mediator membantu mereka berkomunikasi dengan baik dan menemukan jalan keluar yang adil bagi semua pihak. Hasil dari mediasi ini kemudian dicatat dalam akta perdamaian, yang membuat kesepakatan tersebut menjadi resmi dan sah secara hukum.
PROBLEM-BASED LEARNING MODEL IN IMPROVING LEARNING ACHIEVEMENT OF FLAT BUILDING MATERIAL IN GRADE THREE ELEMENTARY SCHOOL
Authors: Badarudin Badarudin , Daffa Irwanto Hilmy , Muslim Arifin
Published: January 2025

The research carried out against the background of the low achievement of students in learning mathematics flat building material in class III. The purpose of researchers carrying out research is to increase learning achievement by applying the Problem Based Learning (PBL) model to students. The research used is Classroom Action Research (CAR) with 2 cycles and each cycle is applied to 2 meetings, each meeting consisting of planning, action, observation, and reflection of learning. Tools used by researchers to collect data are written test questions, activity and observation sheets for teachers and activity and observation sheets for students, and documentation. The subjects of this study were 12 students at an elementary school located in Kembaran District, Banyumas Regency. The learning outcomes before the research was conducted had an average learning outcome score of 65.83. Research results and shows the first cycle of the results of the value of students got an average of 83.33. There was an increase in cycle II with an achievement of 92.5 on the average learning value of students. This proves that PBL can increase the learning achievement of grade III students and motivation in flat building material.
Song-Based English Vocabulary Teaching to Improve Students Vocabulary Mastery at SDN BANJAR AGUNG 4
Authors: Rahmania Fayza
Published: January 2025

Students' ability to memorize vocabulary is the foundation of language acquisition. While only a few EFL learners, especially elementary school students in Indonesia, have the willingness to memorize English vocabulary. This study aims to help students enrich their English vocabulary through English songs and vocabulary worksheets in the form of crossword puzzles. This research uses qualitative methods with a descriptive approach. The data collected came from observation in class 2 of SDN Banjar Agung 4 with the researcher as a participant. The use of songs as learning media is considered efficient in improving students' mastery of English vocabulary. This is evidenced by the results of the worksheet done at the end of the lesson and analysis of student interactions during the learning process. The pleasant classroom atmosphere during learning comes from the students' enthusiasm for singing English songs. Students become more courageous to pronounce English vocabulary and actively involved during learning.
THE MEDIATING EFFECT OF ATTITUDES TOWARD SCIENCE IN THE PERCEPTIONS OF SCIENCE CLASSROOM ENVIRONMENT, FAMILY INVOLVEMENT, AND SCIENCE SELF-EFFICACY WITH SCIENCE ACHIEVEMENT
Authors: CANDIA LEONA A , Fah Lay Yoon
Published: January 2025

Previous research has indicated that attitudes influence various factors contributing to scientific achievement. Inadequate performance in science can limit career opportunities, underscoring the importance of comprehending how attitudes towards science can enhance overall scientific achievement. This study explored the mediating effect of attitudes towards science for the relationships between perceptions of science classroom environment, family involvement, and science self-efficacy with science achievement. This research was conducted as a non-experimental quantitative research. Questionnaires from modified established instruments, Test of science-Related Attitudes, What Is Happening In this Class, Family Involvement Questionnaire- High School Version, Sources of science Self-Efficacy, and science Achievement Test, were sent out to participants via Google Form in different days for a span of two weeks.  A total of 148 Form 2 upper-secondary school students from various districts in Sabah participated in this study.  Data were analyzed using the Partial Least Squares Structural Equation Modeling method. The results revealed that Social Implications of science had a significant positive mediating effect between perceptions of science classroom environment and science achievement. Additionally, there was no significant mediating effect of attitudes toward science on the relationship between science self-efficacy, and family involvement with science achievement. Overall, this study suggests that an aspect of attitudes toward science, the Social Implications of science, was an important mediator between students’ perceptions of science classroom environment and science achievement. This meant that students would perform better in science when they perceived their science classroom better, in the condition that they value the implications that science brings to real life.
The Role of Teachers in Shapingg Students’ Creativity in Inclusive Primary Shools
Authors: Mareza Lia
Published: January 2025

This study aims to analyze the role of teachers in shaping the creativity of slow learner students in inclusive primary schools through the subject of Art, Culture, and Crafts (SBdP). The research employs a qualitative approach with a case study method at SD Negeri 5 Arcawinangun. The subjects include teachers, the principal, and seven slow learner students. Data were collected through observation, interviews, and documentation, and analyzed using triangulation methods. The results show that teachers play a crucial role in fostering students' creativity through various teaching strategies, such as providing repeated instructions, using visual media, and offering intensive guidance. Despite challenges such as low self-confidence and difficulties in time management, support from teachers, families, and the inclusive school environment helps students develop their creativity. This study emphasizes the importance of teachers' creativity in creating an inclusive and supportive learning environment.
Optimization of Library Service Management in Increasing Students' Reading Interest: Case Study at MI Muhammadiyah Paremono
Authors: Nugroho Irham , Pratiwi Eko Kurniasih , Isnaini Rizki Shofak , Mareza Lia , Sulimah Sulimah
Published: January 2025

School libraries play a crucial role in supporting the learning process and increasing students' reading interest, but in MI Muhammadiyah Paremono, library management is not optimal. This study aims to evaluate the effectiveness of library management training for teachers in improving knowledge, skills, and its impact on students' reading interest. Using a one group pre-test post-test research design, the subjects of the study consisted of 21 teachers who were given a Likert scale questionnaire before and after the training. The results of the analysis showed a significant increase in pre-test and post-test scores for knowledge (from 3.2 to 4.5), skills (from 3.1 to 4.4), and perceptions of students' reading interest (from 3.0 to 4.2), with p < 0.01. This training successfully improved teachers' competence in library management, which had positive implications for students' reading interest. This study underlines the importance of library management training for teachers to improve students' learning experiences and encourage a reading culture in schools. These findings provide significant contributions to the development of teaching methods and library management, as well as opening up opportunities for further research on the factors that influence students' reading interest.
Analisis Hybrid Contract Syariah pada Transaksi Go-Food
Authors: Setyomurni Tanya Arisa , Faudi Rial
Published: January 2025

Gojek merupakan sebuah perusahaan teknologi informasi yang telah berkembang di Indonesia. Salah satu fitur layanan yang digemari oleh masyarakat Indonesia adalah Go-Food atau jasa layanan pesan antar makanan. Fitur layanan Go-Food merupakan transaksi yang menggabungkan antara dua akad atau lebih yang disebut dengan Hibryd Contract. Menurut Hukum Islam Hibryd Contract memiliki dua pendapat yaitu diperbolehkan dan ada yang diharamkan. Berdasarkan permaalahan tersebut peneliti tertarik untuk mengkaji mengenai Hibryd Contract Syariah pada fitur layanan Go-Food. Tujuan penelitian ini adalah untuk mengetahui bagaimana Hibryd Contract pada fitur layanan Go-Food ditinjau berdasarkan hukum Islam. Penelitian ini menggunakan metode kualitatif dengan jenis penelitian kepustakaan dan sumber data sekunder yang didapatkan dari buku, jurnal, penelitian terdahulu, serta website yang memiliki kredibilitas baik. Tedapat beberapa akad yang terjadi dalam transaksi Go-Food, diantaranya akad ijarah, wakalah, mudharabah, dan qardh. Pelaksanaan akad dalam transaksi Go-Food dibolehkan akan tetapi, terdapat beberapa akad yang tidak sesuai dengan Hibryd Contract sehingga di terdapat riba dan pihak yang dirugikan dalam transaksi tersebut.
Alternatif Penyelesaian Sengketa (APS) (Perspektif Hukum Positif dan Hukum Islam)
Authors: Fatkhurakman Fuad , Syufaat Syufaat
Published: January 2025

Penelitian ini bertujuan mengetahui landasan Alternatif Penyelesaian Sengketa (APS) yang meliputi mediasi, negosiasi, konsiliasi, dan arbitrase dalam hukum Islam yang dipetik dari Al-Qur’an dan Al-Hadits. Inti permasalahan yang ingin diungkap dalam penelitian ini adalah menemukan model-model penyelesaian sengketa pada zaman Rasulullah SAW. Adapun metode penelitian yang digunakan dalam penelitian ini adalah model penelitian studi kepustakaan dengan mengandalkan buku, artikel, jurnal, dan turots sebagai sumber data penelitian. Hasil dari penelitian ini menemukan bahwa pada masa Rasululloh SAW telah dijumpai praktek mendamaikan sengketa melalui Alternatif Penyelesaian Sengketa (APS). Hal ini di buktikan dengan, pertama, ditemukannya dalil negosiasi, mediasi, konsiliasi dan arbitrase dari Al-Qur’an dan Hadits, kedua, nabi Muhammad SAW melakukan negosiasi dengan Suhail Bin ‘Amr sebagai negosiator kaum musyrik dalam wujud perjanjian hudaibiyah, ketiga nabi Muhammad SAW menjadi mediator dalam mendamaikan dua orang dari kalangan ansor yang berselisih dalam hak kebendaan, keempat ditemukan bahwa nabi Muhamad SAW membenarkan arbitrase yang dilakukan oleh Abu Syuraikh dan Sa’ad Bin Muadz.
Fleksibilitas Penggunaan Mata Uang Elektronik dalam Perspektif Hukum Ekonomi Syariah Analisis Fatwa DSN MUI tentang Uang Elektronik Syariah Fatwa Nomor 116 Tahun 2017
Authors: Fahriyadi Fahriyadi , Wahyudi Sri , Makbul Mohammad
Published: January 2025

Uang elektronik merupakan bentuk digital dari nilai uang yang digunakan dalam berbagai transaksi ekonomi. Seiring perkembangan teknologi uang elektronik mulai di kembangkan oleh perusahaan-perusahaan swasta yang juga bergerak dalam bisnis keuangan online seperti Gopay, Dana, LinkAja, ShoppePay, dan lain-lain. Tujuan dari penelitian ini untuk melihat fleksibilitas penggunaan uang elektronik dalam perspektif Hukum Ekonomi Syariah berdasarkan fatwa DSN MUI. Penelitian ini menggunakan pendekatan kualitatif dan menggunakan metode study pustaka sumber data menggunakan buku, artikel jurnal, serta dokumentasi lainnya. Analisis konten Fatwa DSN MUI Nomor 116 Tahun 2017 digunakan sebagai tolak ukur penetapan hukum. Adapun hasil yang diperoleh dari penelitian ini adalah kegiatan transaksi uang elektronik yang ada saat ini telah sesuai dengan fatwa DSN MUI berdasarkan akad-akadnya, serta fleksibilitas dari penggunaan uang elektronik ini juga dapat mewujudkan kemaslahatan hidup manusia sehingga sesuai dengan tujuan Maqashid Syariah dalam menjaga harta benda. Dalam transaksi uang elektronik, pertukaran uang tunai dengan uang elektronik harus memiliki jumlah yang sama. Uang elektronik juga terhindar dari praktik-praktik yang dilarang dalam Islam seperti Maysir (perjudian) karena digunakan sebagai instrumen pembayaran yang cepat dan tepat, bukan untuk transaksi yang melibatkan Maysir. Uang elektronik memiliki batasan maksimal nilai yang dapat disimpan. Batasan ini membantu mencegah pengeluaran berlebihan dan meminimalkan risiko penyalahgunaan uang elektronik, sehingga sesuai dengan prinsip menjaga harta dalam Maqashid Syariah
ENSEMBLE BAGGING WITH ORDINAL LOGISTIC REGRESSION TO CLASSIFY TODDLER NUTRITIONAL STATUS
Authors: Arini Luthfia Hanun Yuli , Solimun Solimun , Efendi Achmad , Fernandes Adji Achmad Rinaldo
Published: January 2025

One problem in classifying stunting data is that the data used does not have a balanced proportion. This study aims to apply the logistic regression classification method with ordinal scale response variables to overcome class imbalance through the ensemble bagging approach. The data used is secondary data in the form of final research reports that have been tested for validity and reliability. The predictor variables used are economic conditions, health services and the environment with categorical response variables, namely the nutritional status of toddlers in the categories of stunting, normal and high. The methods used are ordinal logistic regression and ensemble bagging on ordinal logistic regression with bootstraps of 100, 500, and 1000. The variables that influence the nutritional status of toddlers are Economic Conditions, Health Services, and the Environment. The results of the study showed that the accuracy, sensitivity, specificity, and F1-Score for ordinal logistic regression were smaller than ensemble bagging in ordinal logistic regression. The best classification method obtained was bagging logistic regression with a bootstrap number of 500 and obtained an accuracy value of 85%, sensitivity of 87.2%, specificity of 72.6%, and F1-Score of 79.3%.
ETHNOMATHEMATICAL EXPLORATION OF THE TRADITIONAL FABRIC OF KARAWO GORONTALO IN RELATION TO THE CONCEPT OF TRANSFORMATION GEOMETRY
Authors: Kobandaha Putri Ekawaty , Arief Ilham , Ibrahim Nur Fadillah , A Wikan Tiyasning
Published: January 2025

This study aims to explore the ethnomathematics contained in the traditional fabric motifs of Karawo Gorontalo in relation to the concept of geometry transformation. This research is qualitative in ethnographic design. The subjects of this study were Karawo embroidery craftsmen with research locations in Karawo production houses, Ayula village, Tapa district, Bone Bolango regency, Gorontalo Province. Data collection techniques with observation, interviews, documentation studies, and literature studies are then analyzed using Spradley’s domain analysis method. The results showed that is an embroidery art that has been preserved since 1600 AD and continues to be preserved by Gorontalo women until now. Karawo also has a manufacturing process that includes slicing and plucking yarn, Mo-Karawo or embroidery, and the last stage is to make refinement. The Ethnomathematics of Karawo fabric embroidery patterns is the geometry of transformation, which is some motifs that can apply the concepts of translation, reflection, dilation, and rotation. This application shows a relationship and can explain the relationship between the concept of transformation geometry and Karawo and can also be illustrated in the Cartesian diagram.
A COMPARISON OF LOGISTIC REGRESSION, MIXED LOGISTIC REGRESSION, AND GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION ON PUBLIC HEALTH DEVELOPMENT IN JAVA
Authors: Setiawan Erwan , Suprayogi Muhammad Azis , Kurnia Anang
Published: January 2025

The Public Health Development Index (Indeks Pembangunan Kesehatan Masyarakat - IPKM) is a combined parameter that reflects progress in health development and is useful for determining areas that need assistance in improving health development. Through IPKM modeling, factors that significantly influence regional public health development can be discovered. This research aims to find an appropriate model for modeling IPKM and determine the factors that significantly influence public health development. The data used is the 2018 IPKM data collected from 119 cities/regencies in Java. We propose three models namely logistic regression (LR), mixed logistic regression (MLR), and geographically weighted logistic regression (GWLR). The research results show that the MLR is the best model for modeling IPKM in Java based on the AIC value criteria. Based on the MLR model, the factors that have a significant influence on public health development are the egg and milk consumption level and the percentage of the number of doctors per thousand population.
PARAMETER ESTIMATION OF LOGNORMAL AND PARETO TYPE I DISTRIBUTIONS USING FREQUENTIST AND BAYESIAN INFERENCES
Authors: Then Jenisha , Permana Ferry Jaya , Yong Benny
Published: January 2025

Extreme events are events that rarely occur but they cause substantial losses. Insurance companies need to take extreme events into account in risk management because extreme events can have a negative impact on the company's financial health. As a result, insurance companies need an appropriate loss model that matches the empirical data from these extreme events. A distribution that is heavy-tailed and skewed to the right is a good distribution for modeling the magnitude of losses from extreme events. In this paper, two distributions with heavy tails and skew to the right will be used to model the magnitude of losses from extreme events, namely the lognormal distribution and the Pareto distribution type I. The parameters of these distributions are estimated using two inferences, namely the frequentist and Bayesian inferences. In the frequentist inference, two methods are applied, namely the moment method and maximum likelihood. On Bayesian inference, two prior distributions are used, namely uniform and Jeffrey. Test model suitability is carried out by visually comparing the model distribution function with the empirical distribution function, as well as by comparing the Root Mean Square Error (RMSE) value. The visualization results of the distribution function and RMSE values ​​show that in general, the Bayesian inference is better at estimating parameters than the frequentist inference. In the frequentist inference, the maximum likelihood method can provide better estimated values ​​than the moment method. In the Bayesian inference, the two prior distributions show a relatively similar fit to the data and tend to be better than the frequentist inference.
UNDERSTANDING LQ45 STOCKS (2021-2023) WITH K-MEANS CLUSTERING
Authors: Febe Margareta , Theotista Giovanny , Winson Winson
Published: January 2025

The primary aim of this study is to examine the use of K-Means clustering in analyzing LQ45 stocks from 2021 to 2023, utilizing data obtained from the Yahoo Finance platform. The analysis delves into key performance measures such as the price-to-earnings ratio (PER), earnings per share (EPS), dividends, trading volume, and historical return on investment. This technique categorizes stocks with similar characteristics, providing financial analysts, money managers, and investors with valuable insights. The objective of the clustering analysis is to gain a deeper understanding of the relationship between intrinsic stock features and the inherent price volatility of companies. This is accomplished by using historical datasets to conduct stock feature analysis. Mathematics plays a crucial role in the K-Means model by providing the foundational algorithms and statistical methods used to categorize and analyze the data. The study contributes to the field of financial market analysis by demonstrating how understanding group-to-group dynamics can affect investment decisions and offering a more precise representation of large datasets in financial contexts. These findings provide significant insights for individuals involved in financial matters in the stock market, helping to identify potential investment opportunities and reduce risk more effectively.
ENHANCING 〖PM〗_(2.5) PREDICTION IN KEMAYORAN DISTRICT, DKI JAKARTA USING DEEP BILSTM METHOD
Authors: Karin Nabila , Darmawan Gumgum , Hendrawati Triyani
Published: January 2025

Worldwide air pollution is a concern, and this is especially true in Indonesia, where most people breathe air that is more contaminated than recommended by the WHO. The concentration of  presents notable health hazards. The respiratory system is the primary route of absorption for , allowing it to enter the lung alveoli and enter the bloodstream. Given the significant health risks associated with exposure, accurate forecasting methods are crucial to anticipate and mitigate its effects. Traditional forecasting methods like ARIMA have limitations in handling non-linear and complex patterns. Therefore, an accurate machine learning method is needed to improve forecasting performance. This research employs Deep Bidirectional Long-Short Term Memory (BiLSTM), a deep learning model particularly suited for time series forecasting due to its ability to capture both past and future dependencies in sequential data. To achieve accurate and precise forecasts for predicting concentration levels in Kemayoran District in November , 2023 (24 hours), this research utilized hourly concentration data from May  until October , 2023, using Deep BiLSTM. The outcomes demonstrated the efficiency of the model, attaining a Mean Absolute Percentage Error (MAPE) of 17.1540% (training) and 14.2862% (testing) with an 80:20 data split. The optimal parameters, which comprised 24 timesteps, Adam optimizers with a learning rate of 0.001, 16 batch sizes, 1000 epochs, and ReLU activation functions across multiple BiLSTM layers, showcased the model’s effectiveness in forecasting the concentration in Kemayoran District, DKI Jakarta, on November , 2023.
DYNAMICS OF RAINFALL AND TEMPERATURE IN NORTH SUMATRA PROVINCE: COMPREHENSIVE ANALYSIS OF TEMPORAL TRENDS
Authors: Lubis Riri Syafitri , Suzana Yenny , Syarah Fatmah , Fajriana Fajriana , Rozi Fachrur , Nusantara Badai Charamsar
Published: January 2025

This research aims to analyze the temporal trends of rainfall and temperature in North Sumatra Province, focusing on the Medan and Deli Serdang regions. The data used in this study was obtained from the Central Statistics Agency of North Sumatra (BPS Sumut) and spans the period from January 2000 to December 2022. The Mann-Kendall test was applied to identify trends, Sen's Slope Estimator measured the trend slope, and Pearson correlation analysis assessed the relationship between rainfall and temperature. Key findings indicate that Medan has a higher monthly rainfall average than Deli Serdang, with both regions showing a significant increasing trend in rainfall, although the rise is gradual. Additionally, a positive trend in temperature was identified, reflecting broader climate change patterns. However, the correlation between rainfall and temperature was weak, indicating minimal direct interaction between these variables in the study areas. These results contribute valuable insights into climate dynamics and are critical for the development of climate change adaptation strategies in North Sumatra Province.
A STUDY ON THE STRUCTURE OF MATRICES RELATED TO THE VECH*, VECP*, AND VEC OPERATORS
Authors: Hidayah Nurul , Yanita Yanita , Nazra Admi
Published: January 2025

The vec operator is an essential tool in matrix algebra that transforms a matrix into a column vector based on specific rules. This paper introduces two new operators, namely  and , which take the main diagonal and supra-diagonal elements of the matrix, respectively. In this paper, we obtain the general form of the matrix , which transform  to , with  as a matrix of size . In addition, we also develop the general forms of matrices and , which transform  into  and  into , with  as a symmetric matrix of size . This study also explores the properties and relationships between these matrices and their relevance to duplication and commutation matrices, providing deeper insights into the structure and operations of matrices.
APPLICATION OF DETERMINISTIC MODEL FOR HYPERTENSION CASES
Authors: Dalengkade Mario Nikolaus , Hayati Martina , Pujiastuti Dwi Rahayu
Published: January 2025

World Health Organization (WHO) latest reports about hypertension as a global health problem, due to a spike in cases. One of the roles of mathematics in health is to provide information about the increase in hypertension sufferers. Using a deterministic model is supposed to provide information that can explain how the cases increase. The deterministic model used is divided into two equations. The first equation uses k as a constant. Second, is p for p < 1 and p > 1. The results from both equations are in the form of a logistic curve and show simulation results are similar to condition data for hypertension sufferers. In addition, the extended deterministic model with p <1 indicates that hypertension sufferers increase exponentially, thus an intervention step is needed.
COMPARING FORECASTS OF AGRICULTURAL SECTOR EXPORT VALUES USING SARIMA AND LONG SHORT-TERM MEMORY MODELS
Authors: Kurnadipare Aleytha Ilahnugrah , Amaliya Sri , Notodiputro Khairil Anwar , Angraini Yenni , Mualifah Laily Nissa Atul
Published: January 2025

Indonesia's agricultural sector plays a crucial role in the national economy, with significant export potential and supporting the livelihoods of the majority of the population. As part of the government's vision to make Indonesia the world's food barn by 2045, increasing the volume and value of agricultural product exports is a primary focus, making export value forecasting essential for supporting strategic decision-making. Sequential data analysis is an important approach in analyzing data collected over a specific period. This study aims to compare two popular methods in forecasting the export value of the agricultural sector, namely the Seasonal AutoRegressive Integrated Moving Average (SARIMA) model and the Long Short-Term Memory (LSTM) model. Monthly agricultural export data from West Java Province from January 2013 to February 2024 were used as the dataset. The best SARIMA model generated was (1,1,1)(0,1,1)12, while the optimal parameters for the LSTM model were neuron: 50, dropout rate: 0.3, number of layers: 2, activation function: relu, epochs: 500, batch size: 64, optimizer: Adam, and learning rate: 0.01. Evaluation was performed using the Root Mean Squared Error (RMSE) method to measure the accuracy of both models in forecasting the export value of the agricultural sector. The results showed that the LSTM model outperformed the SARIMA model, with a lower RMSE value (SARIMA: 4182.133 and LSTM: 1939.02). This research provides valuable insights for decision-makers in planning agricultural sector export strategies in the future. With this comparison, it is expected to provide better guidance in selecting forecasting methods suitable for the characteristics of the data.
COMPARATIVE PERFORMANCE OF SARIMAX AND LSTM MODEL IN PREDICTING IMPORT QUANTITIES OF MILK, BUTTER, AND EGGS
Authors: Ghiffary Ghardapaty Ghaly , Yanuari Eka Dicky Darmawan , Notodiputro Khairil Anwar , Angraini Yenni , Mualifah Laily Nissa Atul
Published: January 2025

This study evaluates how well SARIMAX and LSTM models predict monthly imports of HS-04 commodities (butter, eggs, and milk) in Indonesia. Data were provided by BPS Statistics Indonesia, Bank Indonesia, Ministry of Trade, Trade Map, and Indonesia National Single Window and used from January 2006 to February 2024. The SARIMAX model included exogenous variables such as inflation rates, USD/IDR exchange rates, and major Indonesian holidays (Eid al-Fitr, Eid al-Adha, Christmas, and Lunar New Year). The results show that the SARIMAX and LSTM models predict the import volumes of butter, eggs, and milk with good accuracy. However, the SARIMAX model demonstrated superior forecasting accuracy, achieving a lower RMSE of 7547.89 and a MAPE of 13.16 compared to the LSTM model, which yielded an RMSE of 8787.73 and a MAPE of 14.89. The SARIMAX model performed significantly better when the lunar new year was added as an exogenous variable. In order to support price stability and economic growth in Indonesia, this research provides policymakers and industry stakeholders with critical information to optimize import management strategies for butter, eggs, and milk commodities. Accurate forecasts can contribute to price stability, enhanced food security, and sustainable economic development in Indonesia by enabling informed decisions on import quotas, tariff adjustments, investment in domestic production, and strategic reserves.
A DUAL-CHANNEL SUPPLY CHAIN MODEL OF COMPLEMENTARY PRODUCTS BY CONSIDERING GREEN MANUFACTURING LEVEL
Authors: Mulyani Sabrina Sri , Setiyowati Ririn , Khurdi Nughthoh Arfawi
Published: January 2025

The development of technology and the internet has encouraged industry players to develop their businesses by adding online sales media, which previously only used offline sales media. By adding online sales media, industry players can expand their markets so they can increase profits. This study aims to modify the DCSC model for complementary products by considering the green manufacturing level to maximize the profit of a system consisting of two manufacturers and one retailer.. Based on the model that has been constructed, the optimal solution is determined so that maximum profits are obtained for each model actor in centralized scenarios. After that, the model is applied and sensitivity analysis of its parameters is carried out. Based on the research results, it appears that the policy that is more profitable for each actor in terms of system benefits is the centralized scenario. Analysis of changes in selling price elasticity values and cross price sensitivity of one of the complementary products sold in two channels influences the increase or decrease in profits of each actor and system profits. However, changes in the value of cross-price sensitivity between two complementary products indicate a decrease in the profits of each actor and the profits of the system. The change in the sensitivity value of the green manufacturing level for each product shows an increase in system profits and retailer profits, where when the sensitivity value of the green manufacturing level of product 1 is greater, the profit of manufacturer 1 is also greater, but the profit of manufacturer 2 is smaller. Conversely, when the green manufacturing level sensitivity value of product 2 becomes greater, the profit of manufacturer 2 also becomes greater, but the profit of manufacturer 1 becomes smaller.