bluuebunny/crossref_metadata_2025 huggingface dataset:
Desa Wisata Fatumnasi Berdaya: Strategi Pelatihan Bahasa dan Budaya Lokal untuk Peningkatan Sumber Daya Manusia
Authors: Langkameng Oce Antipas , Meluk Oktoviana Derice , Selan Dwi Dersmi , Sekoni Rocky P
Published: January 2025

Fatumnasi is renowned for its natural beauty and rich cultural heritage. The community in this village maintains strong kinship, preserves traditional customs, and welcomes visitors as family. The village boasts potential for mountain and cultural tourism, including traditional dances and local cuisine from the Dawan. As a pilot project for sustainable tourism development, the village requires competent human resources to manage these potentials. However, the tourism awareness group in Fatumnasi faces challenges in tourism management, particularly regarding English language skills and knowledge of local wisdom. The Community Service Team from the University of Persatuan Guru 1945 NTT collaborated with Pokdarwis to identify these issues. Together, they agreed to conduct English language training and provide assistance in promoting local cultural products. The goal of this activity was to enhance English proficiency and understanding of local culture to attract more tourists. The results shows that: (a) English for Specific Purposes training was successfully implemented for Pokdarwis in Fatumnasi; (b) Improved understanding among the member of Pokdarwis regarding the history and philosophical elements of each traditional weaving motif. This was evidenced by their ability to create narratives explaining the cultural values behind each motif, which is expected to captivate tourists and encourage longer stays in Fatumnasi.
PENERAPAN MODEL PEMBELAJARAN PICTURE AND PICTURE DALAM MENINGKATKAN HASIL BELAJAR BIOLOGI MAHASISWA SEMESTER 1 PROGRAM STUDI PENDIDIKAN FISIKA UNIVERSITAS FLORES
Authors: Daud Maimunah Haji , Kaleka Melkyanus Bili Umbu
Published: January 2025

Penelitian ini bertujuan untuk meningkatkan hasil belajar mahasiswa pendidikan fisika materi sistem organ pada mata kuliah biologi umum dengan menerapkan model pembelajaran picture and picture.  Penelitian deskriptif kuantitatif ini menggunakan one group pretest-postest design. Penelitian ini dilakukan pada bulan September sampai November 2024. Populasi dalam penelitian ini adalah seluruh mahasiswa di program studi pendidikan fisika universitas flores, sedangkan sampel penelitian mahasiswa semester satu tahun akademik 2024/2025 yang ditentukan menggunakan teknik purposive sampling. Teknik pengumpulan data menggunakan teknik tes. Analisis data untuk hasil belajar menggunakan rumus statistik sederhana. Besarnya peningkatan atau gain score hasil belajar dianalisis dengan rumus Hake. Hasil penelitian  menunjukan penerapan model pembelajaran picture and picture mampu meningkatkan hasil belajar. Hasil belajar mahasiswa setelah mengikuti pembelajaran dengan menerapkan model picture and picture termasuk katergori tinggi. Hal ini menunjukan bahwa penerapan model pembelajaran picture and picture dapat meningkatkan hasil belajar mahasiswa pada materi sistem organ.
Empowering Future Teachers: Cultivating Critical Thinking in Student-Led Sociolinguistic Classrooms in Kuwait
Authors: AlRubaie Reem , Alhaji Badria
Published: January 2025

This study explores the role of student-led classrooms in developing critical thinking, sociolinguistic awareness, and collaborative skills among pre-service English teachers in Kuwait. Employing a qualitative case study design, it examines the application of active learning in a sociolinguistic educational context. The results indicate that this approach enhances critical engagement with sociolinguistic issues, fosters analytical abilities, and promotes collaboration through peer feedback. However, challenges such as resistance to new methodologies, varying language proficiency, and institutional constraints underscore the need for structured support and alignment with institutional objectives. With the necessary adjustments in place to support teachers and students alike, the findings highlight the transformative potential of active learning. With consideration of the challenges highlighted, as well as room for flexibility to respond to issues arising throughout the course, this paper proposes strategies to tailor the active learning model to the specificity of Kuwait’s educational environment. Furthermore, proposing that future studies should examine its long-term effects and explore cross-cultural and digital adaptations.
AI-Enhanced Metagenomics for Reservoir Characterization: A New Frontier in Oil and Gas Exploration
Authors: Amadasu Osaretin Steven
Published: January 2025

The integration of Artificial Intelligence (AI) with metagenomics heralds a new era in the field of reservoir characterization, offering a paradigm shift in how we understand and manage hydrocarbon reservoirs. This paper delves into the burgeoning potential of AI-enhanced metagenomic techniques, which stand at the forefront of innovation in the oil and gas industry. By harnessing the power of AI, researchers and engineers can now decode the complex biological tapestry woven by microbial communities within these reservoirs. This integration facilitates a more nuanced and comprehensive analysis than traditional methods alone, leading to a richer, multi-dimensional understanding of reservoir ecosystems.AI's advanced algorithms and machine learning capabilities enable the processing and interpretation of vast and intricate metagenomic datasets, which were previously intractable. This allows for the identification of novel biomarkers, the elucidation of microbial interactions, and the prediction of functional capabilities within the microbial consortia. Consequently, this enhanced analytical prowess translates into more accurate predictions of reservoir properties, such as porosity, permeability, and fluid composition, as well as the behavior of these complex systems under various operational scenarios.Furthermore, the paper investigates how AI-augmented metagenomics can illuminate the role of microorganisms in biogeochemical processes, such as biodegradation and souring, which are critical to reservoir management and enhanced oil recovery strategies. It also examines the implications of this technology for environmental stewardship, highlighting its potential to mitigate the ecological impact of hydrocarbon extraction. In essence, the fusion of AI with metagenomics embodies a significant advancement in reservoir characterization. It not only enhances our ability to characterize the subsurface realm but also promises to refine predictive modeling and decision-making processes, ultimately leading to more efficient and sustainable exploitation of natural resources. This paper aims to provide a comprehensive overview of the current state of AI-enhanced metagenomic approaches, discuss their practical applications, and offer a vision for their future development within the oil and gas sector.
Efecto una Estrategia Educativa en el Nivel de Conocimiento sobre la Prevención del pie Diabético en Adultos con Diabetes Tipo 2
Authors: Tlila Hernandez Noel , Rivas Ruiz Rodolfo , Tino Parra Israel Armando , Fernández Martínez Sergio Carlos , García Aca Yadira Estela , García Calderón Carol Odemaris
Published: January 2025

La diabetes es una causa común de complicaciones vasculares y neuropáticas, siendo el pie diabético la principal causa no traumática de amputación. Una estrategia educativa puede reducir el riesgo de estas complicaciones, aunque hay pocos estudios que respalden este efecto. Objetivo: Evaluar el impacto de una estrategia educativa en pacientes con pie diabético para prevenir complicaciones. Métodos: Estudio cuasi experimental con 205 pacientes de la Unidad de Medicina Familiar 22 en Teziutlán, Puebla. Se aplicó el cuestionario “Conocimientos en Diabetes 24” (DKQ 24) antes y después de la estrategia educativa. Resultados: De los participantes, el 63.9% fueron mujeres y el 36.1% hombres, con una edad promedio de 62 años. La prueba de Wilcoxon mostró diferencias significativas pre y post intervención (p < 0.001). Conclusión: La estrategia educativa mejoró significativamente el conocimiento de los pacientes, demostrando ser efectiva para prevenir complicaciones y mejorar su calidad de vida.
Kombinasi TF-IDF dan Neural Network Untuk Pelayanan Informasi Al-Qur’an Dalam Bentuk Chatbot
Authors: Rifqi Muhammad Rifqi Al Fauzan , Armansyah  , Rifqi Al Fauzan Muhammad
Published: January 2025

Al-Qur’an merupakan kitab suci umat Islam yang di dalamnya berisikan petunjuk untuk menjalani kehidupan di dunia. Pemanfaatan teknologi untuk menyediakan informasi Al-Qur’an saat ini sudah dilakukan, yaitu dengan mendigitalisasi Al-Qur’an. Namun, yang menjadi masalah adalah Al-Qur’an digital tidak dapat memberikan pengalaman yang interaktif kepada pengguna. Pengalaman interaktif ini penting karena pengguna dapat memperoleh informasi Al-Qur’an seperti ayat atau tafsir yang spesifik tanpa harus mencari lagi. Oleh karena itu, untuk mengatasi masalah tersebut dapat dilakukan dengan chatbot. Chatbot dapat dikembangkan agar mampu melakukan percakapan secara interaktif serta mampu melakukan pengenalan teks dan memberikan informasi secara akurat dan konsisten. Pengembangan chatbot dalam penelitian ini menggunakan TF-IDF dan Neural Network. Arsitektur Neural Network yang digunakan dalam penelitian ini terdiri dari 1 hidden layer dengan fungsi aktivasi ReLU dan 1 output layer dengan fungsi aktivasi Softmax. Dataset dalam penelitian ini sebanyak 2157 pola teks, yang dibagi menjadi data training dan data testing dengan rasio 8:2 sehingga data training berjumlah 1725 dan data testing berjumlah 432. Chatbot mampu menjawab pertanyaan pengguna dengan benar sebanyak 38 kali dari total pertanyaan yang diajukan sebanyak 46 pertanyaan. Dengan demikian dapat disimpulkan bahwa chatbot yang dibangun dengan TF-IDF dan Neural Network mampu memberikan respon yang cukup baik atas pesan dari pengguna dengan nilai akurasi sebesar 82,6%.
Implementasi Algoritma Round Robin dan Priority Pada Sistem Antrian Rumah Sakit
Authors: Widiarto Wisnu , Maheswari Desinta , Sari Dewi Puspita , Arianto Kezia Jazzlyn
Published: January 2025

Dalam sistem antrian rumah sakit, perencanaan proses yang efektif dan efisien sangat penting untuk mengurangi waktu tunggu pasien dan meningkatkan kualitas pelayanan medis. Penelitian ini mengimplementasikan algoritma Round-Robin dan Prioritas untuk mengatur antrian pasien dalam suatu rumah sakit. Algoritma Round-Robin memberikan setiap pasien waktu eksekusi yang adil berdasarkan jumlah waktu yang telah ditentukan, sedangkan algoritma Prioritas mengatur waktu berjalan berdasarkan tingkat prioritas pasien. Penelitian ini menganalisis kinerja kedua algoritma menggunakan simulasi data pasien seperti waktu kedatangan, waktu konsultasi, dan tingkat prioritas. Hasil simulasi menunjukkan bahwa meskipun algoritma Round-Robin berhasil mendistribusikan waktu konsultasi secara merata, namun hal ini dapat meningkatkan waktu tunggu pasien sakit kritis. Sebaliknya, algoritma Prioritas mengurangi waktu tunggu untuk pasien dengan prioritas tinggi namun dapat menyebabkan penundaan bagi pasien dengan prioritas rendah.
Enhancing Website Marketing Through Effective Seo Strategies: A Case Study of Entrefine
Authors: Ferdinand Rico , Permana Angga Aditya
Published: January 2025

The Industrial Revolution 4.0 has influenced consumer behavior, as they use the internet to seek information. This has led to businesses shifting their marketing strategies towards digital marketing. Entrefine sells products such as data management analysis systems and Excel training for corporate employees. One crucial aspect to consider the high number of companies selling similar products, resulting in fierce competition among businesses. The solution to this problem is to design and develop a new website as an information system to offer Excel training services, enhance management efficiency and cost-effectiveness, and implement SEO on the website to improve its search engine rankings, thereby increasing the chances of attracting internet users. The System Development Life Cycle (SDLC) method using the Waterfall model is employed in website development, as it is suitable for systems with low complexity, ensuring well-scheduled and easily controlled project execution. The built system can be deemed successful as the website scored 100% in functionality testing and operates smoothly. The implementation of SEO has proven to be effective, generating a total of 341 traffic and achieving an average ranking of 8.4 within a short period.
Klasifikasi Jenis Burung Cucak Berdasarkan Suara Menggunakan MFCC Dan Naive Bayes
Authors: Muhammad Romadloni Putra  , Nurdiyansyah Firman , Yuniar Rahman Aviv
Published: January 2025

Indonesia memiliki ekosistem yang kaya dan beragam dengan tingkat keanekaragaman hayati yang tinggi, termasuk keanekaragaman burung. Penelitian ini berfokus pada pengembangan sistem klasifikasi suara burung yang menggunakan Mel-Frequency Cepstral Coefficient dan algoritma Naive Bayes. Sistem ini bertujuan untuk mengidentifikasi spesies burung dari famili Pycnonotidae di Indonesia: brinji gunung, cucak kutilang, merbah belukar, merbah cerukcuk, dan merbah mata merah. Dataset suara burung dikumpulkan dari website xeno-canto.org, kemudian data diproses dan diekstraksi menggunakan fitur mel frequency cepstral coefficient. Model naive bayes kemudian dilatih dan diuji pada dataset yang telah diberi label. Penelitian ini menunjukkan bahwa model naïve bayes adalah metode yang efektif untuk mengklasifikasikan suara burung. Model naive bayes memiliki kinerja yang cukup bagus dalam mengklasifikasian suara burung, mencapai akurasi prediksi mulai dari yang terendah 52% hingga yang tertinggi 90%. Hal ini menunjukkan bahwa model ini cocok untuk membedakan antara suara burung cucak yang berbeda. Hasil pengujian yang diperoleh menunjukkan bahwa model naiva bayes memiliki potensi besar dalam mengklasifikasikan suara cucak. Akurasi yang dicapai oleh model ini, bahkan dengan 20% data latih, membuktikan kemampuannya untuk mengidentifikasi dan membedakan suara cucak dengan tingkat akurasi yang cukup tinggi. Efektivitas model naive bayes dalam mengklasifikasikan suara cucak cukup bagus, terutama mengingat kemampuannya untuk mencapai efisiensi yang tinggi meskipun dengan data pelatihan yang terbatas.
Deteksi Mata dan Alis Menggunakan Adaboost Classifier dan Haar Cascade
Authors: Prabiantissa Citra Nurina , Muchamad Kurniawan , Bhahreisy Achmad Fadlan
Published: January 2025

Since COVID-19 pandemic, using a mask is a daily necessity. Massive use of masks poses challenges to face recognition, surveillance cameras, age estimation, eye gaze tracking systems, and driver fatigue monitoring systems based on face detection. From these problems, a study is needed to be able to detect the eyes and eyebrows on faces that use masks. This study aims to implement eye and eyebrow detection using the Haar Cascade method. This research went through several processes, including pre-processing, integral image, training and testing using the Haar Cascade method. The results of the study show that the Haar Cascade method is successful in detecting eyes and eyebrows objects quite well with an accuracy rate of 95% on masked faces, 90% on bespectacled faces, 87% on bespectacled faces and tilted, 87% on bespectacled faces, tilted and closed eyes.
Klasifikasi Tingkat Depresi pada Anak dengan Menggunakan Algoritma Neural Network
Authors: Asriyanik  , Farisi Muhammad Fadhlan , Nuraeni Fika
Published: January 2025

Depression in children is an increasingly concerning mental health issue worldwide, with significant impacts on their social, academic, and emotional development. Early detection and prevention of depression are crucial for reducing long-term effects and improving children's quality of life. Conventional methods such as clinical observation and interviews have limitations, particularly regarding subjectivity and resource requirements. Therefore, this study develops a predictive model based on machine learning using a neural network algorithm to classify depression levels in children more accurately and promptly. The model utilizes data from various sources, including body humidity, body temperature, and step count, to detect signs of depression automatically and objectively. This research employs the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology, encompassing business understanding, data understanding, data preprocessing, modeling, model evaluation, and deployment stages. The dataset comprises 2001 entries with three main features, classified into three depression levels: normal, low, and high. The neural network used in the modeling demonstrates excellent performance, with accuracy nearly reaching 100% and loss values decreasing to almost zero. The model is then implemented in a web-based application designed to assist end users, such as parents and teachers, in classifying children's depression levels. Although the application does not yet have an integrated database, testing shows classification results consistent with the existing dataset, confirming its potential as a tool for early detection of depression in children.
Identifikasi Pola Konflik Lahan Perkebunan berbasis Data Hukum Menggunakan Hierarchical Clustering dengan Algoritma Agglomerative
Authors: Wismarini Theresia , Eniyati Sri , Lestariningsih Endang , Soelistijadi Soelistijadi , Ardhianto Eka , Handoko Widiyanto
Published: January 2025

Penelitian ini bertujuan untuk mengidentifikasi pola konflik lahan perkebunan berbasis data hukum menggunakan teknik Hierarchical Clustering, khususnya algoritma Agglomerative Clustering. Deteksi dini konflik lahan perkebunan sangat penting karena dampaknya terhadap kesehatan, ekosistem, pertanian, dan infrastruktur. Penelitian ini menggunakan data hukum dari Mahkamah Agung RI, data geospasial dari OpenStreetMap, dan data sosial-ekonomi dari BPS dan World Bank Data untuk menganalisis dan mengelompokkan pola konflik lahan. Metodologi penelitian melibatkan pengumpulan data hukum, geospasial, dan sosial-ekonomi, yang kemudian dibersihkan dan diproses sebelum diterapkan algoritma Agglomerative Clustering. Proses ini meliputi inisialisasi data, penghitungan jarak, penggabungan klaster, pembentukan dendrogram, pemilihan jumlah klaster optimal, dan validasi model. Hasil clustering divisualisasikan dalam bentuk dendrogram yang membantu dalam memahami struktur hubungan antar kasus hukum terkait konflik lahan perkebunan. Hasil penelitian menunjukkan bahwa algoritma Agglomerative Clustering efektif dalam mengidentifikasi pola-pola konflik lahan perkebunan, dengan mengelompokkan data menjadi klaster-klaster yang menggambarkan karakteristik populasi dan GDP yang berbeda. Penelitian ini memberikan wawasan tentang faktor-faktor yang berkontribusi pada konflik lahan dan menawarkan rekomendasi untuk penelitian lebih lanjut dan kebijakan pengelolaan lahan yang lebih efektif.
Optimasi Penjualan Oleh-oleh Sumbar Menggunakan Analisa Diferensial dan Strategi E-Business D-CRM
Authors: Syaputra Aldo Eko , Hendra Yomei , Mardiah Ainil
Published: January 2025

UMKM Sanjai Tek Gadih, is one of the micro, small and medium enterprises in Indonesia, facing and maintaining its business continuity is a big challenge in market development. The dynamics of consumer purchase interest and the need to maintain customer loyalty are key factors that influence long-term success. In the face of these challenges, innovation and technology adoption are crucial. The differential analysis and D-CRM application is designed to provide a comprehensive solution to address these dynamics. The adoption of these technologies can also help stores optimise marketing strategies, improve service quality, and make more informed business decisions based on accurate data. This research aims to improve the performance of Sanjai Tek Gadih Store through identifying the factors that influence the dynamics of consumer buying interest in the store's products. Designing and developing an application by adopting two approaches, namely differential analysis and DCRM, where differential analysis is intended to provide decisions, while DCRM is intended to facilitate customers in interacting with this Sanjai Shop. The data collection methods used are observation, interviews, analysis of existing documents, and literature studies as a theoretical basis. As well as using the Waterfall system development method including analysis, design, coding, and testing. This research has a high urgency given the importance of a deep understanding of the dynamics of purchase interest and customer relationships to maintain the sustainability of Toko Sanjai in the midst of intense market competition. With the right technology solutions, Toko Sanjai Tek Gadih can be more adaptive to market changes and be able to achieve sustainable growth in the future.
Analisa Performa Arsitektur Model Convolutional Neural Network Dengan Variasi Jumlah Hidden Layer Untuk Klasifikasi Tuberculosis Pada Citra X-Ray
Authors: Aldiansyah Dandi Rifaldi , Soleh Muhamad
Published: January 2025

Tuberculosis is a deadly infectious disease of the lungs caused by the bacteria Mycobacterium tuberculosis that can be transmitted through the air when a person with tuberculosis coughs, sneezes, or spits and can cause respiratory problems, such as chronic cough and shortness of breath. More than 10 million people are infected every year worldwide, while in Indonesia in 2020, there were more than 390,000 cases of tuberculosis. The diagnosis is often too subjective in detecting tuberculosis, and it is not uncommon for debates to occur between medical personnel or doctors to determine whether a patient is infected with tuberculosis. Therefore, computer vision technology is needed that can detect accurately and quickly. CNN algorithm which is a type of Deep Learning that is widely applied in image classification and can outperform other methods can be used as a method in detecting images. So, in this study, the model analysis and classification of tuberculosis with CNN algorithm using X-ray image data of human lungs were conducted. In this research, the method used is CRIPS-DM and a comparison of 3 CNN models with different number of hidden layers is conducted. Before the computer trains the data, the data is processed first at the data preparation stage which includes re-sizing, gray-scaling, and data augmentation. The results of this research show that the model with 5 hidden layers is the best model that managed to get an accuracy rate of up to 98%. Furthermore, the results of the best model are implemented in a web-based tuberculosis detection application system that can analyse lung X-ray images and output classification results quickly and accurately.
Analisa Pemanfaatan Media Edukasi, Komunikasi dan Monitoring Kesehatan Ibu Hamil Berbasis Android untuk Meningkatkan Kualitas Kesehatan Ibu dan Bayi
Authors: Ismanto Bambang , Risqiati  , Nurul Amalia
Published: January 2025

ibu hamil adalah wanita yang sedang mengandung janin di dalam rahimnya, yang umumnya berlangsung selama sekitar 9 bulan atau 40 minggu. Kehamilan merupakan masa yang sangat penting bagi kesehatan ibu dan janin yang dikandungnya. Selama periode ini, ibu hamil membutuhkan perhatian khusus dalam hal kesehatan, nutrisi, dan perawatan medis untuk memastikan kesejahteraan mereka dan perkembangan yang sehat bagi janin. Selama kehamilan, perhatian khusus terhadap kesehatan dan kesejahteraan ibu sangat penting karena beberapa alasan mendasar yang mempengaruhi kesehatan ibu, perkembangan janin, dan kesejahteraan keluarga secara keseluruhan seperti kesehatan ibu dan bayi, mengurangi risiko kematian ibu dan bayi. Pada umumnya ibu hamil akan memeriksakan kandungan ke bidan desa atau puskesmas terdekat. Kondisi fisik ibu hamil yang rentan, terutama pada trimester ketiga akan menyulitkan jika harus ke bidan atau ke puskesmas untuk sekedar berkonsultasi saja, tentunya ini dapat mengganggu kesehatan ibu, apalagi jika jarak rumah ke bidan desa yang jauh. Dalam melakukan tugasnya untuk memonitor kesehatan ibu hamil, bidan desa perlu mendatangi satu persatu ibu hamil untuk menanyakan kondisinya atau ibu hamil sendiri yang datang ke bidan desa untuk memeriksakan kehamilannya. Hal ini tentunya menyulitkan dalam memonitor semua ibu hamil di lingkungan kerjanya dan membutuhkan waktu yang lama. Sebagai salah satu solusi yang bisa mengatasi jarak yang ada, dibutuhkan suatu aplikasi yang berbasis android yang berfunsi sebagai alat monitor kondisi ibu hamil. Tentu saja aplikasi ini menuntut ibu hamil untuk turut aktif dalam memasukan input data pemeriksaan secara jujur, agar hasil dari pengolahan datanya secara real. Selain bisa melakukan konsultasi chating secara realtime, ibu hamil juga bisa memperoleh informasi asupan gizi yang cocok dengan kondisi ibu hamil. Dengan seperti ini tugas bidan akan menjadi lebih ringan dan terpantu dengan baik kondisi janin maupun ibu hamil
Implementasi Algoritma Convolutional Neural Network Untuk Identifikasi Kode Seri Keramik Merk Arwana
Authors: Alfito Herdiansyah  , Arief Hermawan  , Sutarman
Published: January 2025

Ubin keramik saat ini memiliki berbagai jenis dan motif yang dapat dibedakan, salah satunya dengan melihat kode seri keramik. Saat melakukan pemasangan keramik, terkadang banyak hal yang terjadi tidak sesuai rencana. Umumnya konsumen sering menghadapi kendala saat membeli keramik dengan motif atau warna yang tidak sesuai karena lupa mengecek kode serinya. Tujuan utama dari penelitian yang dilakukan adalah menciptakan sebuah sistem yang mampu mengidentifikasi kode seri keramik menggunakan Convolutional Neural Network sebagai metodenya dan mengetahui tingkat akurasi yang dihasilkan dalam penerapannya. Penelitian ini mengadaptasi metode Convolutional Neural Network untuk mengidentifikasi kode seri keramik berdasarkan citra digital. Klasifikasi dilakukan dengan menggunakan dataset citra digital yang didapatkan menggunakan kamera smartphone sebanyak 1000 citra dengan 10 kelas yang berbeda. Sebagai pembanding, dataset yaitu 60% data pelatih dan 40% data pengujian menghasilkan akurasi terbaik sebesar 96,17% pada data latih dan 91,75% pada data uji.
IMPLEMENTASI METODE PIECES PADA PERANCANGAN SISTEM OUTCOME BASED EDUCATION (OBE)
Authors: Wijaya Romi
Published: January 2025

The curriculum is an important unit in a tertiary institution because it helps in carrying out learning process activities, with the existence of a new curriculum, namely the Outcome Based Education (OBE) curriculum, tertiary institutions have to make changes to the existing curriculum, but document management continues to this day. This means saving data and documents on a computer. Currently, specifically for monitoring products, documents need to be printed for distribution. These two things make it difficult for the academic community to access it. The design of this system will make monitoring documents simple, storing, searching and managing documents simply, updating or sharing with other parties and having security when accessed. In analysis, design and system development it is necessary to identify problems and solutions, as well as evaluate system conditions and design results are evaluated using the PIECES Framework using Unified Modeling Language (UML) Modeling. Based on the final results, it can be seen that the OBE Website design obtained better results for several evaluation components, namely information, control, security, performance, efficiency and service.
Optimalisasi K-Means Menggunakan Algoritma Firefly Untuk Segmentasi Pelanggan pada E-commerce
Authors: Warianta Dwi Tatang , Astagina Paramesti , Julianto Richy , Arini Florentina Yuni
Published: January 2025

Segmentasi pelanggan menjadi komponen penting dalam e-commerce untuk personalisasi penawaran dan meningkatkan loyalitas. Penelitian ini mengusulkan optimalisasi algoritma K-Means menggunakan algoritma Firefly untuk meningkatkan akurasi segmentasi pelanggan berdasarkan data Recency, Frequency, dan Monetary (RFM). K-Means dipilih karena efisiensinya, namun sering mengalami keterbatasan dalam menemukan solusi optimal global. Algoritma Firefly digunakan untuk mengatasi kelemahan ini dengan mengeksplorasi ruang solusi lebih efektif. Penelitian ini membandingkan kinerja K-Means, Firefly, dan kombinasi keduanya. Hasil eksperimen menunjukkan bahwa kombinasi K-Means dan Firefly menghasilkan nilai Silhouette Score yang lebih tinggi dan stabil dibandingkan dengan penggunaan K-Means atau Firefly secara individu. Silhouette score menunjukkan nilai yang cukup konsisten di atas 0.9 sepanjang iterasi, tanpa mengalami penurunan signifikan. Dari 50 iterasi, pendekatan kombinasi menghasilkan segmentasi yang lebih konsisten dengan lima klaster, memperlihatkan distribusi yang lebih terstruktur dibandingkan metode lainnya. Hasil ini menunjukkan bahwa optimalisasi menggunakan Firefly memperbaiki kualitas klaster dan dapat diterapkan secara efektif untuk segmentasi pelanggan di e-commerce.
Analisis Pemeliharaan Preventif Gardu Kubikal untuk Meningkatkan Keandalan Sistem Distribusi Listrik di PT. Haleyora Powerindo
Authors: Farid Wiherdiansyah  , Didik Aribowo
Published: January 2025

This research discusses the importance of preventive maintenance of cubicle substations to improve the reliability of the electricity distribution system at PT Haleyora Powerindo. Cubicle substations, as important components in the distribution network, require special attention to prevent unexpected damage and maintain continuity of electricity supply. This research uses literature study, observation, and interview methods with a focus on the stages of maintenance, such as preparation, implementation, and completion, as well as identification of potential causes of damage such as corona, animals, and moisture. With the proper implementation of maintenance, system reliability can be maintained, reducing the risk of disruption, and improving the quality of service to consumers.
Effect of Steaming Time on Degradation of Sugar and Starch Content in Short, Medium and Long Grain Rice
Authors: Sahar Nur Sharmira , Ahmad So’bah , Osman Syaiful
Published: January 2025

Excessive consumption of sugar- and starch-rich foods poses health risks, necessitating strategies to reduce these components in staple foods like rice. This study evaluates the impact of steaming durations on sugar (glucose) and starch reduction in short-, medium- and long-grain rice. Using phenol-sulphuric and iodine techniques, the results indicate that steaming for 135 minutes achieves the greatest reduction, with short-grain rice showing the highest percentage decrease in glucose (26.75 %) and starch (37.75 %), followed by medium and long-grain rice. Extended steaming (180 minutes) led to a slight increase in sugar and starch levels due to saturation. The lowest final sugar and starch concentrations were observed in long-grain rice (2.324 g/L glucose and 2.200 mg/ml starch). These findings highlight steaming as an effective method to lower sugar and starch levels in rice, offering health benefits for individuals and potential applications in food processing industries.
Nutraceuticals from Bushland: Determination of Medicinal Value of Malaysian Wild Herbs for Proposed Hygienic Travel Soap
Authors: Nazrulafni Nur Afrina , Shurfa Chik Nuranisah , Hamka Arissa Ilhamzara , Norhisham Nurul Syamimi , Ngadi Ehwan , Ahmad Rahayu
Published: January 2025

Medicinal plants have been used in traditional medicine for centuries due to their phytochemical components and medicinal properties. In this study, wild herbs Oldenlandia corymbosa (Lidah Ular), Striga asiatica (Jarum Mas) and Phyllanthus niruri (Dukung Anak) were collected from Universiti Sains Islam Malaysia, dried, and grounded. The powdered samples were extracted using hot water, ethyl acetate and ethanol for 48 hours. Phytochemical analysis revealed antioxidants such as flavonoids and phenolics in all extracts, while resins were present only in the ethanolic extracts, and steroids were absent. ATR-FTIR analysis identified key functional groups, including hydroxyls, lipids, alkanes, amino acids, benzoic compounds and phenols. Additionally, the study aimed to develop a portable, easy-to-use travel soap to promote frequent handwashing. Since liquid soap and bar soap each have their own limitations, this travel soap was invented to make it easier for users. Oils from Oldenlandia corymbosa, Striga asiatica and Phyllanthus niruri were used to replace palm oil in the saponification process. The soap, shaped like a ball, allows for easier use than traditional soap and can be rolled between the fingers to effectively clean all parts of the hands and remove germs.
WILAYAH INTI DAN WILAYAH EKONOMI NEGARA INDONESIA
Authors: Natalia Jupita , KUSTIAWAN  , JUPITA NATALIA  , AULIA AGUSTIN  , WIKY DWIPA ABIAL
Published: January 2025

Core regions and economic regions are two important geographic concepts in the context of regional development and economic growth of a country. In Indonesia, these two concepts have significant relevance in determining sustainable and equitable regional development policies throughout the archipelago. The core area usually refers to the area or area that is the center of government, economy and culture of the country. In Indonesia, Jakarta is often considered a core region, with a large concentration of infrastructure, economic activity, and a high population. On the other hand, economic regions include areas that have high economic growth potential and significant contributions to national production. In Indonesia, important economic regions include West Java, Central Java, East Java, as well as other areas that have rapidly developing industry, such as North Sumatra and East Kalimantan. The difference between core regions and economic regions highlights the complexity of Indonesia's regional structure which consists of various levels of economic development, infrastructure access, and development inequality. The importance of a deep understanding of these differences is to design effective and sustainable development policies that can encourage inclusive economic growth throughout Indonesia. This includes investment in basic infrastructure such as transport and communications, development of local industry, and empowerment of local communities. With a comprehensive approach to core areas and economic areas, Indonesia can achieve sustainable economic growth that benefits all levels of society and brings prosperity to the entire country.
PENGARUH GLOBALISASI TERHADAP POLITIK NEGARA
Authors: Muhammad Nursyawal  , Kustiawan Kustiawan , 20 Aisyah , Nur Maria Magdalena  , Steviana Br Sihombing
Published: January 2025

Globalization is an all-encompassing process in various fields of life so that there are no longer any real boundaries that bind countries, making it difficult to filter or control. Globalization is physically marked by the development of cities that are part of the world city network. This can be seen from telecommunications infrastructure, transportation networks, international companies and their branches. The purpose of this research is to analyze the impact of globalization on the country's political system in Indonesia. The method used in the research uses qualitative methods with semiotic analysis techniques and data collection techniques, namely literature or literature studies. The results of the research show that globalization has created significant gaps in the political life of the country, the influence of political globalization on the state has many impacts, both on the positive side and on the negative side.
Selamento imediato da dentina em restaurações indiretas: Revisão de literatura
Authors: Zimmer Roberto , Martins Camila dos Santos da Silva , Reston Eduardo Galia
Published: January 2025

O sucesso clínico de restaurações indiretas está diretamente associado à qualidade da adesão promovida entre a estrutura dental e a peça protética. Dentre as possibilidades para aumentar a resistência de união entre o dente e o material restaurador está o Selamento Imediato da Dentina. O presente estudo tem o objetivo de revisar a literatura sobre a técnica de Selamento Imediato da Dentina. A presente técnica apresenta algumas limitações, não devendo ser utilizada em cavidades muito rasas ou com íntimo contato com a polpa dental. Por outro lado, a técnica consiste na realização de um procedimento adesivo na dentina recém preparada, a qual está livre de contaminação e com as fibras colágenas intactas, substrato ideal para a realização de procedimentos adesivos. Pode-se concluir que a utilização da técnica de Selamento Imediato da Dentina pode se tornar uma alternativa para reduzir a sensibilidade durante a fase de provisionalização e preservar a estrutura dental, mas principalmente por promover um acréscimo na resistência de união de restaurações indiretas.
ANÁLISE DA MORFOLOGIA DOS PRIMEIROS MOLARES SUPERIORES POR TCFC EM UMA SUBPOPULAÇÃO BRASILEIRA
Authors: Cristina Ferreira Soares França Thaís , De Andrade Azevedo Débora , Guedes Orlando Aguirre , Fernandes de Oliveira Helder , Rodrigues de Araújo Estrela Cyntia , Cintra Gomes Carolina
Published: January 2025

O presente estudo avaliou as variações morfológicas dos primeiros molares superiores permanentes por meio de tomografia computadorizada de feixe cônico (TCFC) em uma subpopulação brasileira. Foram analisados dados relacionados ao gênero, número de raízes, canais radiculares e anatomia radicular, com base na classificação de Vertucci (1984). A amostra inicial consistiu em 335 exames tomográficos, com pacientes de ambos os sexos, de idades entre 18 e 80 anos, indicados para fins de diagnóstico. Após a aplicação doscritérios de exclusão, a amostra final foi composta por primeiros molares superiores. A análise das imagens revelou que todos os dentes apresentavam três raízes, sendo que possuíam 85,62% três canais (n=143) e 14,37% quatro canais radiculares (n=24). Nos canais mésio-vestibulares, a configuração de canal mais prevalente foi do tipo I (84%), seguido pelo tipo III (7%; n = 11) e tipo II (5%; n = 9), conforme a classificação de Vertucci. Nos canais disto-vestibulares, 99% foram classificados como tipo I, com baixa prevalência de canais do tipo III (1%). Os canais palatinos exibiram exclusivamente a morfologia tipo I. Nos molares 4 canais (n = 24), o canal adicional mésio-lingual (ML) foi classificado como tipo I em 100% dos dentes. Conclui-se que, por meio das imagens obtidas pela TCFC, foi possível avaliar com precisão o número de raízes e a morfologia dos canais radiculares, elucidando suas variações mais frequentes em primeiros molares superiores permanentes.
Human-Centric Smart Cities for Inclusive and Ethical Urban Development
Authors: Rahbarianyazd Rokhsaneh
Published: January 2025

The rapid development of smart cities, driven by digital infrastructure and data-centric systems, offers innovative solutions to urban challenges but often neglects critical ethical considerations such as inclusivity, equity, and privacy. This study integrates a literature-based policy analysis and selective case studies from Amsterdam, Tokyo, Medellín, and Toronto to explore the human-centric approach to smart city development. The findings reveal fragmented regulatory frameworks, gaps in adaptive governance, and varying levels of inclusivity in current initiatives. A framework of best practices is proposed to embed ethical principles, equitable access, and sustainable policies into smart city projects. By emphasizing community engagement, data transparency, and adaptability, this research underscores the necessity of aligning technological advancements with human-centric values to ensure long-term urban sustainability and equity. The study provides actionable insights for policymakers, researchers, and urban planners seeking to bridge the gap between aspirational visions and tangible outcomes in smart city design.
Influence of Financial Factors on Profit Growth with Company Size as a Moderating Variable: Study of LQ45 Manufacturing Companies
Authors: Fairuz Amalia Salma , Tundjung Herlin
Published: January 2025

The aim of this research is to determine the effect Return On Asset (ROA), Net  profit Margin (NPM), Current Ratio (CR) on profit growth. And to find out whether company size as a moderating variable can strengthen ROA, NPM and CR on profit growth. This research is quantitative descriptive research using Eviews 12 software. The population in this research is manufacturing companies which are members of the LQ45 index during the research period, namely 2018-2022, totaling 18 companies. Sample selection using purposive sampling and obtained 12 companies that would become research samples. The research results show that variables Return On Asset (ROA), Net profit Margin (NPM), Current  Ratio (CR) has a significant positive effect on profit growth. Meanwhile, company size chosen as a moderating variable can strengthen the positive influence of ROA, NPM and CR on profit growth.
Ideologi Class-Struggle dalam Pernyataan Penutup Anies Baswedan pada Debat Final Pemilu Presiden 2024: Kajian Analisis Wacana Kritis Fairclough
Authors: Rahayu Suci
Published: January 2025

Penelitian ini menganalisis pidato pernyataan penutup Anies Baswedan dalam Final Debat Calon Presiden 2024 menggunakan metode *Critical Discourse Analysis* (CDA) yang berfokus pada pendekatan Fairclough. Hasil analisis menunjukkan bahwa Anies menyoroti isu perjuangan kelas atau *class-struggle* dengan menekankan ketimpangan sosial yang dialami oleh masyarakat kelas menengah dan bawah. Ia menggambarkan kondisi kelas menengah yang terhimpit oleh kebijakan negara, serta kelompok rentan seperti lansia, perempuan, difabel, dan anak-anak yang diabaikan. Anies menawarkan solusi berupa kebijakan yang lebih adil dan inklusif, khususnya dalam memperhatikan kelompok rentan dan generasi penerus. Ideologi *class-struggle* yang diusungnya berpusat pada konflik antar kelas yang disebabkan oleh kapitalisme dan perlakuan tidak adil terhadap kelas menengah-bawah. Studi ini menyoroti pentingnya analisis lebih lanjut terhadap proses penciptaan wacana dan konteks interpretasi dalam pidato politik untuk memahami dimensi ideologis yang lebih dalam.
Fire and Ice in the Whirlpool: Spatially Resolved Scaling Relations between X-Ray-emitting Hot Gas and Cold Molecular Gas in M51
Authors: Zhang Chunyi , Wang Junfeng , Cao Tian-Wen
Published: January 2025

The cold and hot interstellar medium in star-forming galaxies resembles the reservoir for star formation and associated heating by stellar winds and explosions during stellar evolution, respectively. We utilize data from deep Chandra observations and archival millimeter surveys to study the interconnection between these two phases and the relation to star formation activities in M51 on kiloparsec scales. A sharp radial decrease is present in the hot gas surface brightness profile within the inner 2 kpc of M51. The ratio between the total infrared luminosity (L
IR) and the hot gas luminosity (

L

0.5
−
2

keV

gas

) shows a positive correlation with the galactic radius in the central region. For the entire galaxy, a twofold correlation is revealed in the

L

0.5
−
2

keV

gas

–L
IR diagram, where

L

0.5
−
2

keV

gas

sharply increases with L
IR in the center but varies more slowly in the disk. The best fit gives a steep relation of

log
(

L

0.5
−
2

keV

gas

/

erg

s

−
1

)
=
1.82

log
(

L

IR

/

L

⊙

)
+
22.26

for the center of M51. The similar twofold correlations are also found in the

L

0.5
−
2

keV

gas

–molecular line luminosity (

L

gas

′

) relations for the four molecular emission lines CO(1–0), CO(2–1), HCN(1–0), and HCO+(1–0). We demonstrate that the core-collapse supernovae (SNe) are the primary source of energy for heating gas in the galactic center of M51, leading to the observed steep

L

0.5
−
2

keV

gas

–L
IR and

L

0.5
−
2

keV

gas

–

L

gas

′

relations, as their X-ray radiation efficiencies (η ≡ 

L

0.5
−
2

keV

gas

/

E

̇

SN

) increase with the star formation rate surface densities (ΣSFR), where

E

̇

SN

is the SN mechanical energy input rate.
A new species of genus Provanna (Gastropoda, Abyssochrysoidea) from gas hydrate-bearing sediments of the northern South China Sea
Authors: Wu Cong , Chen Fang , Tian Ying , Amano Kazutaka , Su Xin
Published: January 2025

The genus Provanna (belonging to Superfamily Abyssochrysoidea) is a group of globally distributed gastropods commonly discovered in the deep-sea chemosynthetic environments. To date it is composed of 29 extant and nine fossil species and all of them seem to be endemic to vents, seeps or organic falls. Despite the increasing interest in cold seeps in South China Sea in recent decades, how this genus is distributed in this area is largely unknown. A new fossil species, Provanna dongshaensissp. nov., collected from the hydrate-bearing sediments in the cold seep area of northern SCS, was studied. A basic morphological description together with the observation of shell microstructures was made, and a brief comparison to known Provanna species was summarized. The occurrence depths of this new species are consistent with the remarkable negative carbon isotope of carbonate layers, which mutually supports the relationship to the ancient seep. Such sedimentary samples from drilling cores may be potentially better materials for systematic research of deep-sea gastropods and other chemosynthesis fauna.
Avec Break Poverty, le mécénat social d’entreprise progresse dans les quartiers
Authors: Masselis Julie , Fara Cécile
Published: January 2025

Break Poverty Foundation conçoit et déploie des dispositifs d’alliance pour lutter durablement contre le déterminisme social, notamment en mobilisant les entreprises par du mécénat social. Cécile Fara et Julie Masselis, déléguées régionales, nous expliquent comment Break Poverty, en particulier avec le programme de la Dotation d’action territoriale (DAT), crée des synergies entre acteurs publics et privés sur les territoires, dont les quartiers prioritaires.
Gérer les tensions juridiques liées à la multi-activité de l’artiste : entre évitement et bricolage
Authors: Schieb-Bienfait Nathalie , Emin Sandrine , Tisseyre Inès
Published: January 2025

Si l’hybridité des pratiques entrepreneuriales des artistes français a notamment déjà été abordée sous l’angle de la précarité, nous nous intéressons ici aux tensions qu’elle crée sur le plan juridique. Tensions qui amènent les artistes et les structures de l’accompagnement à bricoler juridiquement.
Families of sequences with good family complexity and cross-correlation measure
Authors: Doğan Kenan , Şahin Murat , Yayla Oğuz
Published: January 2025

In this paper, we examine the pseudorandomness of a family of sequences with respect to two key measures: family complexity ($ f $-complexity) and cross-correlation measure of order $ \ell $. Our study encompasses sequences over both binary and $ k $-symbol ($ k $-ary) alphabets. We first extend known methods for constructing families of binary pseudorandom sequences and establish a bound on the $ f $-complexity of a large family of binary sequences generated from the Legendre symbols of certain irreducible polynomials. We demonstrate that this family, as well as its dual, exhibits both high family complexity and low cross-correlation measure up to a relatively high order. Additionally, we present a second family of binary sequences with similarly high $ f $-complexity and low cross-correlation measure. Finally, we generalize our results to families of sequences over the $ k $-symbol alphabets.
Boundedness on variable exponent Morrey-Herz space for fractional multilinear Hardy operators
Authors: Asim Muhammad , AlNemer Ghada
Published: January 2025

In this treatise, the boundedness of the multilinear fractional Hardy operators is scrutinized within the context of variable exponent Morrey-Herz spaces, denoted as $ {M\dot K^{\alpha(\cdot), \lambda}_{q, p(\cdot)}(\mathbb{R}^n)} $. Analogous estimations are derived for their commutators, contingent upon the symbol functions residing in the space of bounded mean oscillation (BMO) with variable exponents.