bluuebunny/crossref_metadata_2025 huggingface dataset:
PENERAPAN PRINSIP ARSITEKTUR HIJAU PADA MICROLIBRARY WARAK KAYU SEMARANG
Authors: Maharani Maria Rosita , Wardianto Gatoet , Susanti Anityas Dian , Andadari Tri Susetyo
Published: April 2024

Bangunan merupakan salah satu sektor besar yang mensumbangsi gas emisi yang dapat merusak bumi. Oleh karena itu sudah selayaknya semua bangunan menerapkan prinsipprinsip arsitektur hijau demi kebaikan bumi dan kelangsungan hidup manusia. Objek studi kasus yang diambil adalah microlibrary warak kayu, bangunan ini merupakan bangunan perpustakaan yang materialnya menggunakan limbah kayu. Selain itu bangunan ini juga telah mendapatkan penghargaan bergengsi dunia. Tujuan dari penelitian ini adalah untuk mengkaji penerapan prinsip Arsitektur Hijau pada Microlibrary Warak Kayu. Metode penelitian yang digunakan adalah deskriptif analisis melalui survey dan observasi ke objek studi kasus. Hasil yang didapatkan adalah bangunan ini mampu memenuhi seluruh prinsip Arsitektur Hijau.
Water use in a sustainable net zero energy system: what are the implications of employing bioenergy with carbon capture and storage?
Authors: Chlela Sophie , Selosse Sandrine
Published: April 2024

Net zero emissions of the global energy and land systems are needed to keep the  temperature increase to the 1.5 degrees limit by 2100 as per the Paris Agreement (PA). Furthermore, updated Nationally Determined Contributions (NDCs) now include a net zero target by 2050 or until 2070. These climate policies require rapid technological development towards renewable energy and low carbon emission technologies like nuclear and carbon capture and storage. However, this transition is water intensive as water is needed in power plants cooling, gasification, carbon capture, hydroelectricity, or emission control. In this study, the focus is done on the first three by using  an integrated assessment model TIAM-FR. It is based on techno-economic linear optimization and includes a water allocation module. Under two climate scenarios, the energy mixes of the world energy system are scrutinized. The results show that achieving net zero requires renewable energy mainly but would use bioenergy with carbon capture and storage. For the 2018-2100 period, water consumption increases by 100.5% for a 1.5-degree pathway whereas an NDC pathway increases it by 135%. The comparative analysis asses the choice of mitigation solutions with respect to regional water scarcity. At the end, a discussion on the relevant sustainable development goals (2, 6, 7, 13, 15) is presented.
Teacher’s Manners Towards Students Perspective of KH. Hasyim Asy’ari (in The Book Adab Al-‘Alim Wa Al-Muta’allim)
Authors: Asiah Siti , Isnaeni Muflihatul , Nurazizah Indah , Malika Elisa , Masturoh Zahrani , Putri Tania Amanda
Published: April 2024

One of the problems that occur in the world of education today is related to a teacher's behavior towards his students. Where, a teacher should set an example of good things, in reality he behaves poorly so that he is unable to take responsibility for the duties and mandate given. The aim of the research was to find out and study further regarding teachers' manners towards students in the book Adab Al-'Alim Wa Al-Muta'allim by KH. Hasyim Asy'ari. The research method uses a qualitative approach in literature through the Book of Adab Al-'Alim Wa Al-Muta'allim by KH. Hasyim Asy'ari which has been translated into Indonesian and through journals and books available on the internet. Stages of research by collecting various kinds of references, then study further and draw conclusions. As for the result of this research is that a teacher must understand the real task and his true role. Because there has been a code of ethics and Law No. 14 of 2005 concerning teachers and lecturers as professional positions. Teacher's duties as good mentor and teacher of students, therefore it is mandatory to be a role model for students both in terms of science, nature, etiquette even his devotion to Allah SWT.
Upaya Peningkatan Perkembangan Motorik Kasar Melalui Gerak Senam Irama pada Kelompok A TK Desa Geger, Kecamatan Geger Kabupaten Madiun
Authors: Musyarofah Afifatul , Cahyono Hadi , Muttaqin Muhammad Azam
Published: April 2024

Perkembangan motorik kasar pada anak kelompok A TK Desa Geger masih sangat rendah, sehingga terdapat beberapa anak yang mengalami hambatan dalam keseimbangan, koordinasi anggota tubuh, kekuatan anggota tubuh dan kelenturan anggota tubuh. Dengan pembelajaran senam irama diharapkan dapat meningkatkan keterampilan motorik kasar pada anak kelompok A yang berusia 4-5 tahun. Penelitian ini bertujuan untuk melatih perkembangan motorik kasar melalui gerak senam irama pada kelompok A TK Desa Geger Kecamatan Geger Kabupaten Madiun. Jenis penelitan yang diambil adalah penelitian tidakan kelas (PTK). Dalam penelitian ini terdapat Penelitian ini terdiri dari II siklus, siklus I dan II. Subyek penelitian ini adalah anak kelompok A TK Desa Geger Kecamatan Geger Kabupaten Madiun yang berjumlah 10 anak terdiri dari 6 anak laiki-laki dan 4 anak perempuan. Teknik pengumpulan data yang digunakan meliputi observasi, wawancara, dan dokumentasi. Instrumen yang diguankan adalah lembar observasi yang berfungsi sebagai alat analisis perkembangan motorik kasar pada anak. Analisis dilakukan secara deskriptif, kualitatif, dan kuantitatif, dengan kriteria keberhasilan pengukuran rata-rata 70% anak mengalami peningkatan kemampuan motorik kasar. Proses pelaksanaan kegiatan senam irama melibatkan beberapa tahapan penelitian yaitu perencanaan, pelaksanaan, pengamatan serta refleksi. Hasil penelitian ini menunjukkan bahwa kemampuan motorik kasar anak pada tahap asesmen awal terdapat 37%, namun setelah diberikan tindakan pada Siklus 1, kemampuan motorik kasar anak meningkat menjadi 56%, dan pada Siklus II diperoleh hasil yang menunjukkan sampai 83%. Dapat disimpulkan bahwa kegiatan senam irama dapat melatih perkembangan motorik kasar pada kelompok A TK Desa Geger Kecamatan Geger Kabupaten Madiun.
Kontrol Diri Sebagai Prediktor pada Perilaku Konsumtif Fashion Pakaian Pria Metroseksual
Authors: Rifqi Ghozi
Published: April 2024

Penelitian ini bertujuan untuk mengetahui apakah terdapat hubungan negatif antara kontrol diri dengan perilaku konsumtif fashion pakaian pada pria metroseksual. Variabel kriterium dalam penelitian ini ialah perilaku konsumtif sedangkan variabel prediktor dalam penelitian ini ialah kontrol diri. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengumpulan data menggunakan kuesioner dengan bantuan google form. Pengukuran data dalam penelitian ini menggunakan skala kontrol diri dan skala perilaku konsumtif. Sampel pada penelitian ini adalah pria metroseksual sebanyak 100 responden. Teknik sampling yang digunakan pada penelitian ini adalah purposive sampling. Pengujian hipotesis dalam penelitian ini menggunakan uji korelasi Product Moment dari Karl Pearson sebagai uji hubungan untuk menganalisa perilaku konsumtif sebagai variabel kriterium dengan kontrol diri sebagai variabel prediktor. Hasil data didapatkan nilai korelasi product moment sebesar -0,350 dengan nilai sig sebesar 0,000 (p < 0,01). Berdasarkan hasil yang didapatkan dalam penelitian ini menunjukan bahwa hipotesis diterima, artinya ada hubungan negatif yang sangat signifikan antara kontrol diri dengan perilaku konsumtif fashion pakaian pada pria metroseksual.
Pengaruh Lingkungan Berbahasa terhadap Keterampilan Berbicara Bahasa Arab Santri Kelas X PPDU Putri
Authors: Martina Nafisa Inka , Fauji Imam
Published: April 2024

Penelitian ini bertujuan untuk mengetahui ada atau tidaknya pengaruh lingkungan berbahasa terhadap keterampilan berbicara bahasa Arab dan seberapa besar pengaruh antara lingkungan berbahasa dengan keterampilan berbicara bahasa Arab. Penelitian ini menggunakan metode penelitian kuantitatif dengan pendekatan korelasional. Teknik analisis data yang digunkana adalah dengan menggunakan uji korelasi pearson product moment dengan bantuan program aplikasi SPSS versi 19for Windows. Populasi sekaligus sampel pada penelitian ini adalah seluruh santri kelas X Pondok Pesantren Daarul Ukhuwwah Putri yang berjumlah 55 orang. Berdasarkan hasil penelitian, diperoleh nila signifikansi 0.035 < 0.05, yang berarti terdapat pengaruh antara lingkungan berbahasa dengan keterampilan berbicara bahasa Arab santri kelas X di Pondok Pesantren Daarul Ukhuwwah Putri Malang. Nilai koefisien korelasi (R) yang diperoleh antara variabel X (lingkungan berbahasa) dan variabel Y (keterampilan berbicara) adalah sebesar 0.285 atau 28.5%. Nilai tersebut berada pada interval 0.20– 0.399 yang menunjukkan bahwa skala tersebut berada pada tingkat korelasi rendah. Maka dapat disimpulkan bahwa lingkungan berbahasa berpengaruh terhadap keterampilan berbicara bahasa Arab.
Penetapan Ganjar Pranowo Sebagai Calon Presiden: Studi Analisis Topik pada Reverse Agenda Setting Terkait Kasus Ganjar Pranowo
Authors: Santoso Ari Andriano
Published: April 2024

Penelitian ini mengeksplorasi pengaruh media sosial, khususnya Twitter, dalam membentuk agenda politik dan media di Indonesia dengan fokus pada Ganjar Pranowo sebagai calon presiden dari PDIP. Menggunakan teknik Latent Dirichlet Allocation (LDA) dalam RapidMiner, penelitian ini menganalisis sentimen dan topik dalam tweet yang berkaitan dengan Ganjar Pranowo. Hasilnya menunjukkan mayoritas tweet memiliki sentimen positif, menunjukkan dukungan dan pandangan optimis, tetapi juga mencakup sentimen negatif dan netral, menggarisbawahi keragaman opini. Temuan ini menegaskan bahwa media sosial telah menjadi ruang publik penting dalam diskusi politik, memberikan dampak signifikan pada pembentukan opini publik dan narasi politik, serta mempengaruhi agenda media tradisional dalam konteks politik Indonesia.
Model Pembelajaran Berdeferensiasi dalam Kurikulum Merdeka di Sekolah Dasar
Authors: Sulyati Sulyati
Published: April 2024

Kemampuan guru dalam mengakomodasi keberagaman karakteristik dan minat peserta didik menjadi salah satu kunci utama keberhasilan proses pembelajaran itu sendiri. Model Pembelajaran Berdiferensiasi sebagai salah satu upaya pendidik dalam melakukan adaptasi pembelajaran di dalam kelas dengan tujuan untuk memenuhi kebutuhan belajar peserta didik. Oleh karena itu, peneliti ingin mengkaji lebih lanjut bagaimana pelaksanaan Pembelajaran Berdiferensiasi pada pembelajaran IPS, serta bagaimana dampak Pembelajaran Berdiferensiasi pada pembelajaran mata pelajaran IPS untuk peserta didik Kelas III Sekolah Dasar Negeri Bansone, Kabupeten Timor Tengah Utara Nusa Tenggara Timur. Penelitian ini berjenis kualitatif dengan pendekatan deskriptif. Pengumpulan data penelitian diperoleh melalui wawancara, observasi, dan dokumentasi. Sehingga instrumen penelitian yang digunakan terdiri dari lembar pedoman wawancara, panduan observasi, dan dokumentasi. Data yang diperoleh dianalisis dengan teknik analisis data yang terdiri dari Data reduction (reduksi data), Data Display (Penyajian data), dan conclusion drawing/Verification (Verifikasi). Berdasarkan hasil analisis data dapat disimpulkan bahwa terdapat beberapa tahapan yang harus dipenuhi dalam Pembelajaran mata Pelajaran IPS berdiferensiasi yaitu melakukan pemetaan kebutuhan peserta didik melalui asesmen diagnostik, merancang perencanaan pembelajaran berdiferensiasi sesuai kebutuhan peserta didik, dan melakukan evaluasi dan merefleksi pembelajaran yang sudah berlangsung. Penerapan Pembelajaran IPS berdiferensiasi memberikan dampak positif bagi peserta didik yang ditunjukkan dengan meningkatnya semangat dan antusias peserta didik selama pembelajaran.
Analisis Standar Kompetensi Lulusan dan Standart Isi Matematika pada Kurikulum Merdeka di Tingkat SMP
Authors: Fitriah Fitriah
Published: April 2024

Penelitian ini bertujuan untuk menganalisis standar kompetensi lulusan (SKL) dan standar isi (SI) dalam pembelajaran matematika di sekolah menengah pertama, dengan mengacu pada Peraturan Menteri Pendidikan, Kebudayaan, Riset, dan Teknologi (Permendikbudristek) No 05 Tahun 2022 tentang SKL dan Permendikbudristek No 7 Tahun 2022 tentang SI. Metode yang digunakan adalah studi kepustakaan dengan pendekatan deskriptif kualitatif. Pengumpulan data dilakukan melalui studi dokumentasi, dengan menganalisis isi dokumen terkait. Pendekatan ini memberikan manfaat besar bagi guru dalam merancang dan melaksanakan pembelajaran matematika, karena harus disesuaikan dengan standar yang berlaku. Keberhasilan dan kesesuaian antara SKL dan SI dapat dievaluasi pada setiap jenjang studi, termasuk di sekolah menengah pertama, dan dalam program-program pengajaran. Oleh karena itu, diperlukan pemantauan, peninjauan, dan evaluasi yang progresif dan berkesinambungan. Kegiatan monitoring dan evaluasi ini menjadi panduan untuk memperbaiki SKL dan SI di masa mendatang, sehingga pembelajaran matematika dapat sesuai dengan standar yang telah ditetapkan dan terus berkembang menuju peningkatan kualitas yang lebih baik.
Pelaksanaan Implementasi Kurikulum Merdeka pada Pembelajaran Matematika di SMP Sekabupaten Kayong Utara
Authors: Hardiany Desi
Published: April 2024

Penelitian ini bertujuan untuk mengevaluasi pelaksanaan Kurikulum Merdeka dalam pengajaran matematika di SMP se-Kabupaten Kayong Utara. Metode penelitian yang digunakan adalah non-eksperimen dengan desain survei menggunakan kuesioner sebagai alat pengumpulan data, merujuk pada Pasal 3 Ayat 3 Permendikbudristek No16 Tahun 2022 tentang standar proses. Lima guru matematika dari lima sekolah yang terlibat di Kabupaten Kayong Utara menjadi subjek penelitian. Hasil penelitian menunjukkan bahwa SMP A mencapai 82% dengan skor total 62, SMP B 71% dengan skor total 54, SMP C 64% dengan skor total 49, SMP D 61% dengan skor total 46, dan SMP E 87% dengan skor total 66. Ketuntasan klasikal yang dicapai adalah 72,89%. Dari analisis data, dapat disimpulkan bahwa secara keseluruhan, pelaksanaan Kurikulum Merdeka dalam pengajaran matematika di SMP se-Kabupaten Kayong Utara dinilai cukup baik. Penelitian ini memberikan kontribusi penting dalam pemahaman terhadap efektivitas kurikulum baru dalam konteks pembelajaran matematika. Hasilnya dapat menjadi dasar bagi pihak terkait untuk terus meningkatkan pelaksanaan kurikulum tersebut, dengan memperhatikan temuan yang ada untuk meningkatkan kualitas pembelajaran matematika di tingkat SMP.
Motivasi Belajar, Self Efficacy dan Prokrastinasi Akademik pada Mahasiswa Tingkat Akhir yang Sedang Mengerjakan Skripsi
Authors: Fijannati Salsabila Pahala
Published: April 2024

Penyelesaian skripsi merupakan salah satu tugas yang penting bagi mahasiswa dan dapat mempengaruhi waktu kelulusan mahasiswa. Salah satu faktor yang mempengaruhi penyelesaian skripsi pada mahasiswa tingkat akhir adalah motivasi belajar yang dalam diri individu tersebut. Jika motivasi belajar dalam diri seseorang rendah maka self efficacy akan menurun dan mengalami prokrastinasi akademik. Penelitian ini bertujuan untuk mengetahui pengaruh motivasi belajar, self efficacy dan prokrastinasi akademik pada mahasiswa tingkat akhir yang sedang mengerjakan skripsi. Partisipan dalam penelitian ini adalah 116 mahasiswa tingkat akhir yang sedang mengerjakan skripsi. Hasil penelitian menggunakan teknik regresi berganda menunjukkan bahwa motivasi belajar dan self efficacy secara bersamaan berpengaruh dengan sangat signifikan terhadap prokrastinasi akademik pada mahasiswa tingkat akhir yang sedang mengerjakan skripsi, dengan besar pengaruh sebesar 42,5% dengan kontribusi yang lebih banyak diberikan oleh self efficacy kemudian diikuti oleh motivasi belajar terhadap prokrastinasi akademik.lulusan mahasiswa. Salah satu faktor yang mempengaruhi penyelesaian skripsi pada mahasiswa tingkat akhir adalah motivasi belajar yang dalam diri individu tersebut. Jika motivasi belajar dalam diri seseorang rendah maka self efficacy akan menurun dan mengalami prokrastinasi akademik. Penelitian ini bertujuan untuk mengetahui pengaruh motivasi belajar, self efficacy dan prokrastinasi akademik pada mahasiswa tingkat akhir yang sedang mengerjakan skripsi. Partisipan dalam penelitian ini adalah 116 mahasiswa tingkat akhir yang sedang mengerjakan skripsi. Hasil penelitian menggunakan teknik regresi berganda menunjukkan bahwa motivasi belajar dan self efficacy secara bersamaan berpengaruh dengan sangat signifikan terhadap prokrastinasi akademik pada mahasiswa tingkat akhir yang sedang mengerjakan skripsi, dengan besar pengaruh sebesar 42,5% dengan kontribusi yang lebih banyak diberikan oleh self efficacy kemudian diikuti oleh motivasi belajar terhadap prokrastinasi akademik.
From Mind-Reading to Health-Reading Machines: Towards Contactless Health Diagnosis using Generative Artificial Intelligence
Authors: Hadid Abdenour
Published: April 2024

Generative Artificial Intelligence (AI) has recently shown impressive results across a wide spectrum of tasks. Inspired by the emerging notion of mind-reading machines and by the medical evidences indicating that some diseases and brain disorders produce facial abnormalities and interrupt normal facial expression formation, we are (1) establishing, in close interaction with medical practitioners, the basic understanding of the correlations between visual patterns and health conditions, and (2) developing novel computational models, based on Generative AI, to learn the identified correlations. Devising computational models for detecting abnormalities reflective of internal diseases based only on visual information is a highly intriguing research problem. The goal is to achieve ground-breaking results in unobtrusive health diagnosis and to gain insight into the correlation between face, body, and mind. This work has the potential to open new research directions in several fields and to bridge the gap between the research activities conducted in several disciplines like engineering and medicine. This article explains the main idea behind contactless health reading using generative artificial intelligence.
Evaluation of the progress of international integration of Vietnamese higher education: Approach from quality assurance activities
Authors: Thinh Pham Van
Published: April 2024

International integration is a prominent topic of Vietnamese higher education in the 21st century. Considered a main pillar, international integration in higher education has taken place in many fields, from development of networks, models, innovation of content and training programs, university administration to building comprehensive international cooperation strategy. Quality assurance activities have become the focus of state management agencies and training institutions. Using the historical educational research method, with a specialized approach, this article evaluates the process of developing quality assurance activities in Vietnamese higher education. The results show that Vietnamese higher education has changed from quality control method to quality assurance method. This change process represents an effort to integrate higher education according to regional and world standards. Quality assurance activities in Vietnamese higher education are currently at the stage of applying common rules and regulations of international higher education, in accordance with Vietnamese interests; Vietnamese higher education is trying to go beyond normal international cooperation, demonstrating responsibility and legal commitments to participate in the globalization process in the field of higher education.
CLUSTERIZAÇÃO DE PROCESSOS JUDICIAIS COM ASSUNTOS SIMILARES
Authors: Carvalho Adrian Moagne Nery , Rocha Marcelo Lisboa
Published: April 2024

A clusterização de documentos jurídicos com tópicos similares é uma tarefa desafiadora que pode trazer benefícios ao sistema judiciário ao facilitar a análise e a tomada de decisões. Neste artigo, aplicamos algoritmos de clusterização para agrupar um conjunto de dados de processos judiciais utilizando o método de vetorização TF-IDF. Avaliamos a qualidade dos clusters utilizando o Coeficiente de Silhueta e o Índice de Davies-Bouldin. Os resultados destacam o significativo potencial de melhoria na mineração de textos legais e na recuperação de informações, contribuindo para um gerenciamento e análise mais eficientes de extensos conjuntos de processos judiciais.
Nghiên cứu xây dựng giải pháp mở rộng không gian làm việc cho bệ Stewart dạng tay quay-thanh truyền
Authors: Nghiêm Thành Trung  , Lê Danh Tuấn
Published: April 2024

Bài báo đề cập đến vấn đề mở rộng không gian làm việc của bộ Stewart dạng tay quay thanh truyền. Bằng cách xây dựng động học ngược của hệ Stewart dạng tay quay thanh truyền một cách chính xác theo các tham số của nó, có thể kiểm tra khả năng đáp ứng của bệ đối với không gian làm việc. Để mở rộng không gian làm việc cho bệ, bài báo đã đề xuất thay đổi một số kích thước hình học của bệ. Các kết quả của bài báo đã được kiểm chứng bằng mô phỏng.
Viện Tự động hóa Kỹ thuật quân sự: Nghiên cứu phát triển khoa học công nghệ gắn với ứng dụng thực tế
Authors: Trần Ngọc Bình
Published: April 2024

Bài báo trình bày tóm lược các kết quả nghiên cứu phát triển khoa học công nghệ trong lĩnh vực tự động hoá phục vụ quốc phòng an ninh của Viện Tự động hoá Kỹ thuật quân sự (KTQS). Các sản phẩm nghiên cứu của Viện là các sản phẩm được xây dựng trên cơ sở nhu cầu thực tế, có hàm lượng khoa học cao, công nghệ hiện đại phù hợp với xu thế phát triển trên thế giới. Các sản phẩm tạo ra có ý nghĩa thiết thực góp phần vào nhiệm vụ hiện đại hóa vũ khí trang bị, nâng cao khả năng chiến đấu và sẵn sàng chiến đấu của Quân đội ta. Qua các đề tài nhiệm vụ, lực lượng khoa học của Viện cũng đã từng bước lớn mạnh với nền tảng khoa học công nghệ hiện đại, đáp ứng yêu cầu nhiệm vụ trong tình hình mới. Phát huy các kết quả đã đạt được, Viện Tự động hóa KTQS đã xây dựng những định hướng mục tiêu, nhiệm vụ trọng tâm của Viện trong những năm tiếp theo để tiếp tục tạo ra những sản phẩm có tính ứng dụng cao đáp ứng yêu cầu trong chiến tranh hiện đại góp phần xây dựng quân đội vững mạnh bảo vệ vững chắc Tổ quốc Việt Nam xã hội chủ nghĩa.
Tính toán và khảo sát tham số chuyển động góc của ăng ten trang bị trên tàu biển trong bài toán bám sát vệ tinh
Authors: Lê Văn Phúc
Published: April 2024

Để trao đổi thông tin với vệ tinh chúng ta cần tới một hệ thống ăng ten truyền và nhận tín hiệu với vệ tinh đã được đăng ký dịch vụ từ trước. Việc truyền nhận tín hiệu giữa ăng ten và vệ tinh phụ thuộc rất nhiều yếu tố như công suất phát, độ nhạy máy thu, môi trường. Để đạt được mức tín hiệu tốt nhất hướng của ăng ten cần luôn hướng đến hướng của vệ tinh cần liên lạc. Trong quá trình chuyển động của tàu trên biển, tư thế của tàu luôn bị ảnh hưởng bởi các tác động như sóng, gió,… do đó, góc đường ngắm của ăng ten luôn bị ảnh hưởng. Bài báo sẽ trình bày cách xác định các góc ăng ten khi bị tác động bởi các yếu tố bên ngoài như sóng, gió và khảo sát tốc độ góc của nó để làm cơ sở cho việc thiết kế chế tạo bệ ăng ten phục vụ cho bài toán bám sát vệ tinh. Bài báo mô phỏng đánh giá thuật toán và đưa ra tham số góc và tốc độ góc của bệ ăng ten trong điều kiện tư thế phương tiện thay đổi trong một phạm vi xác định.
Implementation of the DSN-MUI Fatwa on Product Testimonials from Istihsan Perspective
Authors: Saniyah Alfa , Ghozali M. Lathoif
Published: April 2024

Today, product advertising remains a marketing strategy for both large and small businesses. In addition, testimonials or statements of satisfaction from consumers are supporting factors for new consumers to trigger purchases to be made by consumers. Fictitious testimonials are an easy step new business people use to get consumers quickly. This study aims to determine how the DSN-MUI fatwa is viewed as a legal basis and how istihsan views the problem. The research method used is library research. Primary data uses DSN-MUI fatwa, and secondary data comes from books, journal articles indexed Sinta 5 to Sinta 2, and other supporting secondary data. The results of this study show that fictitious testimonials for new sellers whose purpose is to increase customer commitment to their business and provide benefits to sellers, according to the concept of istihsan, are allowed.
Analysis of the Business Model Canvas Approach for Indonesian Sharia Bank Gold Pawn Products
Authors: Aulia Dini Silmy , Sugiyono  , Yusran  , Afendi Achmad Ruslan
Published: April 2024

This research was motivated by the existing condition of the Indonesian Sharia Bank Tomo branch which is still in the form of Sub-Branch Offices; there are no bank location points on maps, low marketing intensity on social media, and the traditional gold content measuring instruments. This research method is a field and qualitative descriptive approach. Primary and secondary data collection techniques through observation, documentation, and interviews using source triangulation techniques. Data analysis techniques of Miles and Huberman and SWOT analysis. The results of research through SWOT analysis that produce alternative strategies to form a Business Model Canvas improvements are in Customer Segments with the addition of younger generation segments. Customer Relationship by maximizing personal assistance. Channels with the addition of more intense and trending use of social media, website updates, more attractive and quality brochures, and holding seminars. Value Proposition: The modernization of measuring instrument technology. Key Activities with modernising gold content measuring instruments can minimize estimation errors. Key Resources, modernization of measuring instrument technology, training centres, and cash deposits at ATMs. Key Partnership is the hope of collaborating with universities. Revenue Streams are expected to increase existing revenue. Cost Structure by removing the cost of test water.
Segmenting, Targeting, and Positioning of Yogurt Products From the Perspective of Islamic Marketing
Authors: Adinda Dian Pramita  , Susilowati Fitriah Dwi
Published: April 2024

This study aims to explore the concept of Islamic marketing strategy and its potential role in developing halal trade and contributing towards the achievement of Sustainable Development Goals (SDGs). The research method  use qualitative method, a literature review is conducted to examine Islamic marketing from a marketing strategy perspective, building on the STP framework and outlining its implications.  The findings suggest that Sharia-compliant marketing can serve as an effective strategy for businesses to attract customers using halal marketing tactics in their Segmentation, Targeting, and Positioning approaches. This approach enables the business world to avoid being perceived as solely profit-driven and instead embrace social responsibility. The proposed framework can be utilized by businesses to segment the Muslim market given the cultural dissimilarities in interpreting Islam and halal. This way, companies can not only comprehend the diverse segments within Islamic interpretation, but also devise an appropriate marketing mix to cater to consumer requirements. The study's findings can be applied to Muslim marketers while using the Segmenting, Targeting, Positioning framework. Furthermore, it offers qualitative guidance for non-Muslim marketers and scholars, resolving various marketing-related concerns.
The Importance of Halal Brand Awareness in Purchasing Intentions in Indonesia: the Mediating Role of Attitude
Authors: Bulandari Megita , Sumar Sumar
Published: April 2024

This research examines the relationship between people's intention to buy halal products and their knowledge of halal brand awareness. This research also investigates the possibility that attitudes influence purchase intentions through mediation effects. Research data was obtained from a reliable online survey with 152 respondents. Four hypotheses regarding the relationship between the characteristics of halal brand awareness, attitudes and purchase intentions were tested using the PLS-SEM approach. The findings of this study support each of the supported hypotheses, including the idea that attitudes have a mediating function. Therefore, to shift from a lifestyle that follows people's habits to a halal lifestyle, halal industry players must adapt to appropriate changes in consumer attitudes. Additionally, regulators should offer incentives to encourage a greater halal ecosystem. This research is different because it validates previous results regarding the impact of positive consumer sentiment on their tendency to purchase halal goods and services. Based on this research, customers consume more types of halal goods and services, such as food, sharia banking, and fashion, as well as goods related to lifestyle and well-being, such as shopping, sports, and swimming pools.
Analysis of Sustainability Reporting Disclosure Based on the Global Reporting Initiative (GRI) Standards
Authors: Pandin Maria Yovita R , Wijaya Renata Maulita , Postel Maria Yuliana , Manalu Marta Uli Septiana
Published: April 2024

This study aims to provide empirical evidence regarding the disclosure of PT Astra Internasional Tbk Jakarta's sustainability report for 2020-2021. This research uses quantitative qualitative research methods. Data obtained from the results of the sustainability report of PT Astra International Tbk Jakarta. Data analysis uses content analysis. The results of the analysis show that sustainability reports are company reports that convey information regarding the economic, environmental and social performance of a company's actions. Disclosure standards for business sustainability reports that use the Global Reporting Standards (GRI) standard should consist of general disclosure series (100 series) to specific disclosure series (200, 300, 400 series) to ensure that stakeholders receive consistent information during the decision-making process.
O ATENEU
Authors: Borba Gilioli Eduardo , Bellanda Galuch Maria Terezinha , Silva Cleonice Aparecida Raphael da
Published: April 2024

O objetivo dessa pesquisa foi delimitar as situações de violência escolar relatadas na obra O Ateneu de Raul Pompéia, centrando-se na reflexão sobre os casos de bullying. O bullying existe desde os primórdios da escola, mas o seu estudo ocorreu no momento em que grande parcela da sociedade começou a frequentá-la, acentuando no ambiente escolar, os conflitos oriundos da estrutura social contraditória. A despeito de as pesquisas sobre o bullying, no Brasil, terem sido iniciadas pouco mais de um século após a publicação original de O Ateneu, observa-se que esse problema já se fazia presente no contexto escolar brasileiro, pois parte das formas de agressão descritas nesta obra foram intencionais, repetitivas, desencadeadas pelo desejo de destruição do outro e, sem motivo aparente, e os alvos, via de regra, eram mais frágeis do que os autores. A análise das hostilidades descritas em O Ateneu, possibilita a elaboração do passado, dando voz ao sofrimento negligenciado, atenuado ou esquecido.
RECURSOS DE TECNOLOGIA ASSISTIVA NO ATENDIMENTO EDUCACIONAL ESPECIALIZADO PARA ESTUDANTES COM DEFICIÊNCIA INTELECTUAL
Authors: Silva Camila Barreto , Oliveira Neta Adelaide de Souza
Published: April 2024

O artigo analisa se os recursos de Tecnologia Assistiva utilizados por professores do AEE constituíram-se como instrumentos mediadores ao enfrentamento das barreiras vivenciadas por estudantes com deficiência intelectual ao longo das intervenções na Sala de Recursos Multifuncionais. A investigação se respalda nos conceitos da TA para alunos com deficiência à luz dos princípios da Psicologia Histórico-Cultural, bem como nas bases legais que advogam a Educação Especial na perspectiva inclusiva. Participaram deste estudo três professores do AEE de três escolas municipais de Fortaleza, Ceará - Brasil, caracterizando a investigação como Estudo de Casos Múltiplos. Para coleta de dados, utilizaram-se a observação da prática pedagógica por meio de uma Escala, a análise dos Estudos de Casos e a entrevista dos três sujeitos. Dentre os três, um se destacou pela coerência da seleção e da aplicação dos recursos em virtude da problemática vivenciada pelo aluno, identificada no Estudo de Caso; assim como pela pertinência das estratégias de mediação sobre o uso dos recursos, buscando maximizar as potencialidades do aluno. Compreende-se, portanto, que esse professor, ao utilizar os recursos de TA, obedecendo tais perspectivas, os materializou como vias indiretas adequadas à superação de barreiras advindas da interação do aluno com o meio.
Campus Companion : Creating a Supportive Chat – Assistant for Students
Authors:   Assistant Professor, Department of Information Technology, KKR & KSR INSTITUTE OF TECHNOLOGY AND SCIENCES(A), Guntur, India, Bodapati Mrs. Nagaeswari
Published: April 2024

This article explores the creation and usage of chatbots, or intelligent conversational agents, for online communication. Python and other machine learning methods are employed in the chatbot's design. To be more explicit, TensorFlow/Keras is used for natural language processing, MySQL is utilized for database administration, and Flask is used for web hosting. The initiative attempts to accomplish its goals by enhancing the user experience and fostering more effective communication on the website. Using massive datasets, the chatbot will be educated to comprehend users' objectives and offer replies that fit with them. Natural language processing technologies, including voice recognition, natural language interpretation, and natural language production, will be used to foster natural discussions. A number of machine learning approaches, such as transformers, attention processes, and recurrent neural networks, will be investigated in order to classify intent and deliver replies. The objective is to construct a powerful and versatile chatbot that can grasp arguments in their context, preserve the debate's status, and answer in a manner that sounds human. Assessment criteria such as accuracy, recall, and precision will be utilized to develop and adapt the chatbot. Numerous businesses, including education, entertainment, customer service, and other disciplines, may profit from the employment of this chatbot. The implementation of intelligent conversational interfaces on websites has the potential to greatly enhance user experience. Keywords— Chatbot, Flask, MySQL, TensorFlow, Keras, Website Interaction, Natural Language Processing (NLP), Conversational AI, Intent Classification, Response Generation, Machine Learning Models, Recurrent Neural Networks (RNNs), Transformer Models, Attention Mechanisms, User Experience (UX), Contextual Conversations, Dialogue State Management, Human-like Responses, Customer Service Automation, Educational Chatbot, Entertainment Applications.
Visual Intelligence: Machine Learning Approaches to Image Filtering and Identification
Authors:   Assistant Professor, Department of Information Technology, KKR & KSR INSTITUTE OF TECHNOLOGY AND SCIENCES(A), Guntur, India, Khammar Mrs.Molla
Published: April 2024

We apply powerful machine learning approaches in our work on visual intelligence to increase visual clarity and automate picture filtering. Machine learning is applied in image filtering in an attempt to automate and enhance picture quality, minimize noise, and extract vital information. Machine learning employs models and algorithms created on massive datasets to enhance filtering efficiency over prior techniques. Our strategy seeks to minimize noise, enhance picture quality, and extract useful information by integrating the Retinex algorithm with Gaussian filtering. Its purpose is to promote productivity and effectiveness in numerous sectors, including satellite analysis, medical imaging, and photography, by means of techniques like noise reduction, sharpening, and creative upgrades. This technology improves the area of visual data processing while solving concerns with computation efficiency and parameter fine-tuning. Furthermore, by tackling concerns like computer efficiency, dataset bias, and fine-tuning, it achieves substantial breakthroughs in the processing and interpretation of visual data. Our results hint to the potential uses of machine learning in numerous domains, such as satellite analysis, medical imaging, and photography, and illustrate how it may be used to enhance picture quality. We explain how visual intelligence is applied in current photo processing and analysis via our work. Keywords— Visual intelligence, image processing, blur removal, object detection, machine learning, Computer vision, Image enhancement, Retinex algorithm, Gaussian filtering, Deep learning, Neural networks, Feature extraction, Image segmentation, Anomaly detection, Data preprocessing.
Bone Advisor: AI-guided Bone Regeneration Prediction and Recommendations
Authors:   Assistant Professor, Department of CSE, KKR & KSR Institute of Technology and Sciences, A.P, India., Sundari P.Neela
Published: April 2024

The bone is a major component of the human body. Bone provides the ability to move the body. Bone fractures are common in the human body. Although external fixation is being widely used by orthopedic surgeons in treatment of bone fractures, the surgical procedure and recovery includes the possible complications which can significantly decrease the treatment’s efficiency and effectiveness. In this project we propose the improvement of a fixation device design by introducing the machine learning and deep learning technology. The Bone Regeneration Prediction and Recommendation System project represents a paradigm shift in orthopedic care. Through the integration of predictive modeling and machine learning, the system forecasts bone regeneration outcomes with maximal accuracy. Beyond predictions, the system generates personalized recommendations, to the individuals based on the patient data given to the model. Keywords: Machine Learning, Deep Learning, Recommendation system, prediction system, orthopedic
A Review on Sign Language Recognition and Learning System
Authors:   Student, Department of computer science and engineering, Universal Engineering College, Kerala, India., K B Akhilesh
Published: April 2024

This paper presents innovative approaches to various aspects of sign language recognition and learning, catering to the diverse needs within this field. It introduces a system utilizing 2D image sampling and concatenation, trained with convolutional neural networks, achieving accurate and robust sign recognition even with low-cost cameras. Another system, SignQuiz, offers a cost-effective web-based solution for learning finger-spelled signs in Indian Sign Language (ISL), outperforming traditional printed mediums. Additionally, a dynamic hand gesture recognition system employing deep learning architectures demonstrates superior performance over existing methods, addressing challenges such as hand segmentation and sequence modeling. Furthermore, an efficient deep convolutional neural network approach for hand gesture recognition, including transfer learning, achieves high recognition rates across various datasets. Finally, a robust model for static sign recognition in ISL, utilizing CNNs and evaluating on a diverse dataset, attains exceptional accuracy and outperforms previous works. These contributions collectively advance the field of sign language recognition and learning, offering solutions that are accurate, cost-effective, and efficient, thereby facilitating better communication and interaction for the hearing-impaired community. Key Words: CNN, Sign language recognition, Hand gesture recognition, Machine learning, Transfer Learning, SVM.
Prototype Model of Forklift with Mecanum Wheel Controlled Using Mobile
Authors:   Assistant professor, Department of Mechanical Engineering, Vignan’s Institute of Engineering for Women, Duvvada., G Mrs. Anusha
Published: April 2024

Industrial forklifts are used to load and unload goods. Electrical forklifts consume less power to drive the vehicle. In crowded spaces with static and/or dynamic obstacles and small corridors, such as industrial floors, warehouses, offices, and hospitals, multidirectional cars could carry out crucial functions. Mecanum wheel-mounted forklifts have seen several designs developed recently to enhance their multidirectional portability and usefulness. In this project, the center of gravity of the forklift is 67mm from the front axle and mecanum wheel diameter is 60mm. The direction of the mecanum wheel is determined by the direction of the leading edge of the roller, if the roller is pointed left then it is a left wheel and if the roller is pointed right then it is a right wheel. The mecanum wheel is a device that can move a vehicle in all directions, including forward, backward, left, right, diagonal, and more. This design has empowered us to create mecanum wheel-based forklift prototype, showcasing the potential for engineering solution. Key Words: Forklift, Mecanum wheel, multidirectional,
Candidate Authentication using OCR Techniques
Authors:   KKR & KSR Institute of Technology, Vinjanampadu ,Guntur Dt., Andhra Pradesh., Sai Dr.M.S.Sesha
Published: April 2024

This paper explores the application of Optical Character Recognition (OCR) techniques for authenticating candidates based on identity documents. As advancements in technology continue to redefine various industries, the integration of OCR into candidate authentication processes offers a streamlined and efficient solution. The aim is to design a system which gets the image of the identity proof and the details are being retrieved using the character segmentation which is done by a feature extraction optical character recognition algorithm (OCR). The authentication process encompasses document validation and implementation of security measures to safeguard against fraud.By combining YOLO object detection, Optical Character Recognition (OCR) and fuzzy matching technique ,this approach aims to enhance the accuracy and reliability of candidate authentication. This underscores the importance of a comprehensive authentication framework, incorporating both technological and procedural elements, to establish a robust and secure candidate authentication process in diverse contexts. Keywords: ID Verification,Optical Character Recognition (OCR), Text Extraction, YOLO,Object Detection,Image Segmentation, EasyOCR , Fuzzy Matching.
SecureLaw Portal: Empowering Citizens with Transparent Legal Records via Blockchain and Cloud eVault
Authors:   Computer Engineering Department,  BHARATI VIDYAPEETH (DEEMED TO BE UNIVERSITY),  COLLEGE OF ENGINEERING, PUNE- 43, V.G Prof  Avhad
Published: April 2024

In the digital age, where data integrity is essential, the management of legal data requires innovative solutions. SecureLaw is a new project that combines the immutable power of blockchain, the flexibility of Cloud. The agility of the Cloud, Express.js, React.js, Node .js suite. This integration forms the backbone of the transformation of data protection laws, providing unparalleled security, transparency and easy access. Highlights of this project: SecureLaw is instrumental in redefining information law in India. Traditional systems often face security breaches and lack of transparency, undermining the integrity of the legal process. SecureLaw solves these problems by integrating blockchain technology, which provides immutable data that ensures legal documents are not tampered with and ensure their authenticity. The introduction of smart contracts automates the process, controls permissions and makes data immutable, thus increasing efficiency and reducing errors. Leveraging Cloud services such as S3 for storage, API gateways for seamless communications, Lambda for serverless computing, and DynamoDB for scalable databases provides a powerful, scalable, and cost-effective infrastructure. Scalability is important to accommodate legal system growth, and Cloud’s Dynamic Services provide a solution. The AERN group (AWS, Express.js, React.js, Node.js) strengthens the foundation of the project. Express.js is a simple and easy backend framework that seamlessly integrates for efficient data processing and processing. React.js is a front-end library with many features that make it user responsive and intuitive. Node.js is known for its performance that enables dynamic recovery and makes data fast and recoverable. SecureLaw's user centric approach includes managing access to personal and legal personal details. Personal auditors, regional directors, directors (DGs), judges, etc. It deals with many user roles, personal control panels, and access rights. This change promotes cooperation, transparency and communication in the legal system. Features of a self-explanatory legal system encourage people to understand the legal process, fostering transparency, trust, and collaborative knowledge. Keywords: Blockchain, Application Programming Interface (API), Cloud , Express.js, React.js, Node.js
“SMART DOORBELL SECURITY SYSTEM”
Authors:   B.Tech Assistant Professor, Department of Electronics And Telecommunication Engineering  Priyadarshini College Of Engineering Nagpur, Maharashtra, India, O.G MR. HASTAK
Published: April 2024

The door has become an access point to a house where it is used for entering and exiting. Security is one of the crucial factors in a residence. Criminal activities often occur by tampering or breaking the lock system of the house door. Currently, the security of house doors generally still relies on wooden supports, handle locks, and sometimes the use of padlocks. Now, door security systems can be obtained through various methods, one of which is by implementing technology. Therefore, a smart lock door system was created using face recognition technology, specifically utilizing the ESP32-CAM module, integrated into the system, allowing the door to be unlocked using one's face as the password. Additionally, the smart lock door incorporates the assistance of a Telegram application, which serves to store detected images and act as a real-time monitor of the situation in front of the house. The methodology employed was a literature review, utilizing written sources to gather information, and a consultation method involving interactions with advisors and individuals possessing relevant knowledge or experience. The testing results indicate that the ESP32-CAM can be effectively utilized as a detector for the smart lock door system. Keywords: ESP32-CAM, Microcontroller, Smart Door Lock, face recognition Technology, Telegram Application.
Optimizing Power Control for Dual Excited Synchronous Generators in Wind Turbine Systems
Authors:   AssistantProfessor in Department of Electrical and Electronics Engineering & SRIT, Basha Mr. D.Mahaboob
Published: April 2024

This study presents a MATLAB Simulink-based approach for optimizing power control in wind turbine systems with dual excited synchronous generators (DESGs), implementing an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller. DESGs offer advantages in efficiency and reliability, necessitating effective power control strategies. The proposed methodology integrates Simulink models of wind turbine dynamics, DESG behavior, and an ANFIS controller to optimize power output while ensuring stability and minimizing losses. Various factors such as wind speed variations and grid conditions are incorporated into the simulation environment. The ANFIS controller dynamically adjusts DESG control parameters based on real-time inputs, enhancing system adaptability and performance. Simulation graphs validate the efficiency of proposed approach in improving DESG performance and overall wind turbine system efficiency. This research contributes to advancing renewable energy technologies by leveraging MATLAB Simulink and ANFIS controllers for optimized power control in DESG-based wind turbine systems. Key Words: Wind power generation, Grid, DESG, MSC, GSC, and ANFIS.