bluuebunny/crossref_metadata_2025 huggingface dataset:
RANCANG INTERFACE UI/UX E -LEARNING BERBASIS WEB MENGGUNAKAN METODE USER CENTERED DESIGN UNTUK MENINGKATKAN EFISIENSI KEGIATAN BELAJAR MENGAJAR
Authors: Harumsari Putri , Nawwar Fikri Hafidz , Hannie Hannie
Published: November 2024

Penelitian ini bertujuan untuk merancang interface UI/UX E-learning berbasis web menggunakan metode User Centered Design (UCD) untuk meningkatkan efisiensi kegiatan belajar mengajar di SDN Pasir Kamuning II. Dengan penerapan UCD, desain aplikasi E-learning ini fokus pada kebutuhan dan pengalaman pengguna, yaitu guru dan siswa. Proses penelitian melibatkan beberapa tahap, mulai dari pengumpulan data kebutuhan pengguna, analisis kebutuhan, hingga pengujian prototipe dengan metode System Usability Scale (SUS) dan Single Ease Question (SEQ). Hasil penelitian menunjukkan bahwa penggunaan UCD dalam perancangan antarmuka E-learning mampu meningkatkan efisiensi dan efektivitas kegiatan belajar mengajar. Desain yang ramah pengguna dan intuitif mempermudah akses, interaksi, dan monitoring proses pembelajaran, sehingga menciptakan lingkungan belajar yang lebih adaptif dan menyenangkan. Implementasi E-learning ini diharapkan dapat menjadi solusi inovatif dalam mendukung digitalisasi pendidikan di SDN Pasir Kamuning II.
PENERAPAN YOU ONLY LOOK ONCE (YOLO) V8 UNTUK DETEKSI TINGKAT KEMATANGAN BUAH MANGGIS
Authors: Akyas Hifdzi Rahman Rifqi , Adi Sunarto Asril , Asriyanik Asriyanik
Published: November 2024

Indonesia memiliki potensi besar dalam produksi buah-buahan tropis, salah satunya adalah manggis (Garcinia mangostana Linn) yang dikenal sebagai "ratu buah". Namun, proses klasifikasi kematangan manggis masih dilakukan secara manual, yang rentan terhadap kesalahan manusia. Penelitian ini bertujuan mengembangkan model deteksi kematangan buah manggis menggunakan Algoritma You Only Look Once (YOLO) untuk meningkatkan akurasi dan efisiensi penyortiran. Dengan menggunakan pendekatan CRISP-DM, data gambar manggis dikumpulkan dan diproses untuk dilabeli dan di-augmentasi. Hasil penelitian menunjukkan bahwa model YOLOv8s dengan optimizer SGD memberikan hasil terbaik dengan precision 0.997, recall 1, dan mAP50-95 sebesar 0.972. Implementasi model ini ke dalam sistem berbasis web menunjukkan potensi besar dalam menggantikan metode manual yang rentan terhadap kesalahan manusia. Model ini diharapkan dapat meningkatkan efisiensi dan akurasi dalam industri pertanian, khususnya untuk penyortiran buah manggis.
IMPLEMENTASI MENGGUNAKAN PEER CONNECTION QUEUE DAN SIMPLE QUEUE DENGAN NETWORK DEVELOPMENT LIFE CYCLE
Authors: Wira Hadi Kusuma Mochamad , Pramudita Rully
Published: November 2024

Politeknik Kelapa Sawit Citra Widya Edukasi merupakan salah satu kampus yang berada di Kota Bekasi yang telah mempunyai koneksi internet. Untuk saat ini koneksi internet yang berada disana hanya menggunakan mekanisme simple queue sebagai manajemen bandwidth. Mekanisme ini sering terjadi masalah dikarenakan pembagian bandwidth tidak merata. Hal ini sering kali terjadi masalah rebutan atau tarik menarik penggunaan traffic bandwidth antar pengguna untuk keperluan browsing maupun upload dan download. Tujuan penelitian ini untuk melakukan pembagian bandwidth secara otomatis dan merata ke setiap pengguna. Metode yang digunakan adalah Peer Connection Queue (PCQ) Dan Simple queue. Dengan menggunakan metode PCQ untuk pembagian bandwidth secara merata kepada setiap pengguna. Sedangkan simple queue untuk memprioritaskan bandwidth setiap pengguna yang dipilih berdasarkan ip address. Berdasarkan penelitian yang telah dilakukan selama penelitian berlangsung, hal ini dibuktikan dengan hasil dari konfigurasi menggunakan PCQ dibuktikan dengan nilai rata-rata kecepatan unduh data yang serupa, yaitu 2.36 Mbps, 2.54 Mbps dan 2.12 Mbps. Menjadikan kecepatan akses yang setara untuk setiap pengguna aktif. Sedangkan hasil dari konfigurasi menggunakan Simple queue mendapatkan bandwidth limit-at yang sudah ditentukan pada setiap user yang diprioritaskan. Dari hasil pengujian tersebut memberikan peningkatan dalam manajemen bandwidth
PERANCANGAN SISTEM INFORMASI ABSENSI PADA CV JAYA MOBILINDO 2
Authors: Zaki Fuadi Ahmad , Kusnandar Rofiq , Winarso Doni
Published: November 2024

Penerapan sistem komputerisasi tidak hanya mengubah metode kerja tradisional tetapi juga secara signifikan meningkatkan efektivitas dan efisiensi. Komputer dan perangkat lunak berkualitas tinggi yang dirancang untuk memenuhi kebutuhan spesifik telah terbukti memberikan manfaat nyata, seperti mengurangi kesalahan, mengatasi keterlambatan, mengoptimalkan aset perusahaan, dan meningkatkan produktivitas karyawan. Ketidakhadiran sistem absensi yang efektif di CV Jaya Mobilindo 2 telah menyebabkan masalah operasional, termasuk potensi kecurangan di antara karyawan. Untuk mengatasi masalah ini, sebuah sistem informasi absensi karyawan berbasis web dikembangkan dengan menggunakan metode Rapid Application Development (RAD). Sistem ini memungkinkan karyawan untuk dengan cepat dan akurat mencatat kehadiran mereka, serta menghasilkan laporan yang akurat tanpa perlu pencatatan manual. Desain sistem mencakup Use Case Diagram, Class Diagram, Activity Diagram, dan Sequence Diagram dengan dua aktor utama yaitu Admin dan Pegawai. Diharapkan, rancangan sistem ini dapat meningkatkan efisiensi operasional CV Jaya Mobilindo 2, mengurangi risiko kecurangan, dan menyediakan laporan yang lebih akurat.
RANCANG BANGUN APLIKASI MARBELQU (MARI BELAJAR AL QURAN) BERBASIS WEBSITE SEBAGAI PENUNJANG PEMBELAJARAN TILAWAH AL QURAN
Authors: Ahmad Nasrul Haq Hanif , Fazrin Nasrulloh Sofhian
Published: November 2024

Al Quran adalah kitab suci umat Islam yang menjadi sumber ajaran agama dan pedoman hidup. Allah SWT menurunkannya kepada Nabi Muhammad SAW dengan perintah membacanya sesuai Ilmu Tajwid, sebagaimana tercantum dalam QS. Al-Muzzammil 73:4. Di era digital, teknologi mengubah cara masyarakat mengakses informasi, termasuk siswa kelas IV di SDN 1 Cilaja, yang mengalami kesulitan memahami ilmu Tilawah Al Quran karena keterbatasan waktu dalam mata pelajaran Pendidikan Agama Islam (PAI). Penelitian ini bertujuan merancang dan membangun Aplikasi MarbelQu berbasis website sebagai penunjang pembelajaran Tilawah Al Quran bagi siswa kelas IV di SDN 1 Cilaja. Penelitian ini menggunakan metode Waterfall dalam Research and Development (RnD). Metode Waterfall terdiri dari beberapa tahap: Requirement (pengumpulan kebutuhan), Design (perancangan), Implementation (implementasi), Verification (verifikasi), dan Maintenance (pemeliharaan). Aplikasi MarbelQu yang dikembangkan melalui metode ini diuji oleh berbagai ahli, termasuk Ahli Media, Ahli Tajwid, Ahli Nagham/Tilawah, serta pengguna. Hasil uji menunjukkan bahwa aplikasi ini sangat layak digunakan dengan penilaian berkisar antara 82% hingga 86% dari para ahli dan pengguna.
SISTEM MONITORING KADAR KETERSEDIAAN AIR PADA TANAMAN ANGGREK MENGGUNAKAN SENSOR SOIL MOISTURE BERBASIS INTERNET OF THINGS (IoT)
Authors: Nuni Dea Rustanti Friska , Zainul Abidin Rahmad
Published: November 2024

Tanaman anggrek merupakan tipe tanaman yang memiliki kecepatan tumbuh yang relatif lambat. Cepat lambatnya pertumbuhan setiap jenis anggrek adalah berbeda-beda karena sangat tergantung dari segi pemeliharaan anggrek itu sendiri. Pertumbuhan tanaman anggrek sangat dipengaruhi oleh beberapa faktor baik faktor dari dalam angrek itu sendiri maupun faktor luar. Pentingnya memonitoring kadar ketersediaan air menjadi salah satu kewajiban bagi seorang peminat atau petani untuk menjaga apakah kelembaban tanah sudah cukup stabil apa belum. Maka dari itu peneliti perlu membangun sebuah alat yang mampu memonitoring dan menyirami tanah secara otomatis. Metode yang digunakan penulis yaitu metode (R&D) Research and Development Sistem yang akan dibuat ini memanfaatkan sensor soil moisture untuk mendeteksi kelembaban tanah. Mikrokontrollernya menggunakan Arduino IDE karena sudah support networking Wi-Fi. Jika kelembaban tanah kering, maka secara otomatis kran elektrik akan membuka dan menyiram tanaman, jika kran elektrik menutup maka kelembaban menyesuaikan tanah yang dibaca oleh sensor. Kemudian aktor mendapatkan notifikasi melalui smartphone dengan menggunakan App Inventor yang sudah terkoneksi internet. Hasil yang diperoleh dari penelitian ini adalah alat ini dapat membaca kelembaban tanah secara otomatis dan menyiram tanaman sesuai dengan kondisi kelembaban tanah. Alat ini bekerja dengan menggunakan sensor soil moisture yang dapat mendeteksi kelembaban tanah dan mengrimkan perintah kepada mikrokontroller untuk menghidupkan kran elektrik jika tanah dalam kondisi kering, serta dapat secara otomatis kran elektrik tertutup jika tanah sudah basah.
ANALISIS PERBANDINGAN UNTUK OPTIMALISASI JARINGAN MENGGUNAKAN METODE QUEUE TREE DAN PCQ DI ICT UMMI
Authors: Ridobillah Roby , Indrayana Didik , Frazna Az-Zahra Fathia
Published: November 2024

Di Tengah pesatnya perkembangan teknologi informasi, masyarakat saat ini menjadikan internet sebagai sebuah kebutuhan utama untuk mendapatkan informasi. Dibalik kebutuhan yang tinggi akan penggunaan internet, muncul sebuah permasalahan seperti ketidakstabilan koneksi internet dan permasalahan lain yang mempengaruhi pengalaman pengguna. Untuk memastikan pengguna mendapatkan layanan terbaik, maka diperlukan sebuah manajemen bandwidth yang efisien. Penelitian ini dilakukan pada jaringan ICT UMMI dengan tujuan membandingkan metode queue tree dan per connection queue (PCQ) untuk mengetahui metode mana yang lebih baik untuk diterapkan pada jaringan ICT UMMI berdasarkan parameter yang diuji yaitu throughput, delay, jitter dan packet loss. langkah analisis pengembangan penelitian meliputi prepare, plan, design dan implement. Hasil penelitian ini menunjukan bahwa metode queue tree memberikan hasil yang lebih unggul dibandingkan metode PCQ dalam segi throughput, delay dan jitter. Berdasarkan hasil yang diperoleh, metode queue tree mampu mencapai throughput sebesar 4.811.300 bps, lebih tinggi dibandingkan metode PCQ yang hanya mencapai 3.765.700 bps. Dalam hal delay, metode queue tree menunjukan delay yang lebih cepat yaitu sebesar 1,646 ms, sementara metode PCQ mendapatkan delay sebesar 2,207 ms. Adapun jitter, metode queue tree lebih stabil dengan jitter sebesar 1,646 ms, dibandingkan metode PCQ yang memiliki jitter 2,241 ms. Hasil ini menunjukan bahwa metode queue tree lebih efektif dalam menjaga kualitas dan kestabilan jaringan ICT UMMI.
OPTIMALISASI FITUR DENGAN FORWARD SELECTION PADA ESTIMASI TINGKAT PENYAKIT PARU-PARU MENGGUNAKAN ALGORITMA KLASIFIKASI RANDOM FOREST
Authors: Rangga Aditya Tarigan Lukman , Dahlan Dahlan
Published: November 2024

Penyakit paru-paru merupakan masalah kesehatan serius di Indonesia, dengan peningkatan kasus dan kematian yang signifikan. Penelitian ini bertujuan untuk meningkatkan akurasi klasifikasi penyakit paru-paru menggunakan algoritma Random Forest dengan metode optimasi fitur Forward Selection. Dataset yang digunakan terdiri dari 1.000 sampel dengan 10 atribut. Penelitian dilakukan dalam dua tahap: pertama, pengujian awal algoritma Random Forest tanpa optimasi fitur, dan kedua, pengujian dengan optimasi fitur menggunakan metode Forward Selection. Hasil pengujian awal menunjukkan akurasi sebesar 89,45%, Presisi 83.20%, Recall 100.00%. Setelah menerapkan optimasi fitur, akurasi meningkat menjadi 92,46%, presisi 95,88%, recall 89.42%. Peningkatan akurasi sebesar 3,01% ini menegaskan pentingnya optimasi fitur dalam meningkatkan performa model klasifikasi. Analisis atribut penting mengidentifikasi bahwa aktivitas olahraga, kebiasaan merokok, dan usia merupakan faktor yang paling signifikan dalam memprediksi penyakit paru-paru. Penelitian ini menyoroti bahwa penggunaan metode optimasi fitur seperti Forward Selection dapat secara signifikan meningkatkan akurasi prediksi model klasifikasi penyakit paru-paru.
APLIKASI PEMBELAJARAN MAKHARIJUL HURUF HIJAIYAH MENGGUNAKAN METODE INTERAKTIF BERBASIS ANDROID
Authors: Marala M. Yasin , Rosandy Triowali , Puspita S Yuni , Azima M. Fauzan
Published: November 2024

Penelitian ini dilakukan di Rumah Baca Qur'an (RBQ) Asyababul Al Qur'an, di mana beberapa murid baru tertinggal dalam materi pembelajaran Al-Qur'an karena tidak mengikuti dari awal. Masalah ini menyebabkan kesenjangan dalam kemampuan membaca Al-Qur'an antara murid baru dan lama. Untuk mengatasi hal ini, penelitian ini bertujuan untuk mengembangkan aplikasi Android yang dapat membantu murid baru mempelajari makharijul huruf hijaiyah secara mandiri. Metode yang digunakan adalah model ADDIE (Analysis, Design, Development, Implementation, and Evaluation). Evaluasi terhadap aplikasi dilakukan melalui kuesioner, dan hasilnya menunjukkan bahwa aplikasi ini efektif dalam meningkatkan pemahaman dan kemampuan murid baru dalam membaca Al-Qur'an.
PENERAPAN SISTEM INFORMASI KEHADIRAN SISWA MENGGUNAKAN APLIKASI APPSHEET BERBASIS ANDROID
Authors: Muhammad Rizki Ari , Latif Setiawan Dena
Published: November 2024

Ditemukan bahwa guru SMP Negeri 2 Lebakwangi masih menggunakan metode presensi manual untuk mencatat kehadiran siswa di sekolah. Dinilai cukup memakan waktu yang dapat mengurangi jam pengajaran guru dikelas dan membutuhkan tenaga yang banyak untuk melakukan pengumpulan dan pengelolaan data presensi siswa. Penelitian ini bertujuan untuk menerapkan sistem presensi berbasis android agar dapat meminimalisir waktu lebih cepat sehingga tidak memakan waktu lebih banyak untuk jam pelajaran guru dikelas. Hasil pengujian fungsional penerapan sistem infromasi kehadiran siswa menggunakan aplikasi appsheet berbasis android sebagai ahli media aplikasi dinilai dengan baik sesuai fungsinya. Berdasarkan hasil pengujian 23 siswa diketahui hasil skor presensi manual sebesar 64% sedangkan kenaikan skor presensi berbasis android sebesar 75%. Sehingga diketahui kenaikan skor presentase hasil presensi berbasis android lebih besar 11% dibandingkan dengan presensi manual. Diharapkan sistem ini mampu meningkatkan efisiensi dan akurasi kehadiran siswa serta meningkatkan kualitas layanan pendidikan di sekolah.
GAME EDUKASI MENCOCOKAN NAMA HEWAN DALAM BAHASA INGGRIS UNTUK ANAK USIA DINI MENGGUNAKAN METODE GAME DEVELOPMENT LIFE CYCLE (GDLC)
Authors: Adiwijaya Fahmi , Asriyanik Asriyanik , Frazzna Az-zahra Fathia
Published: November 2024

Pendidikan anak usia dini di Indonesia berfokus pada perkembangan menyeluruh anak usia 0-9 tahun, dengan bahasa Inggris sebagai bahasa asing penting. Saat ini, pengajaran nama hewan dalam bahasa Inggris sering hanya menggunakan buku dan materi cetak yang kurang interaktif. Berdasarkan Undang-Undang Pendidikan Pasal 28 ayat (3) yang mendorong metode bermain sambil belajar, penelitian ini mengusulkan pengembangan game edukasi "Game Edukasi Mencocokkan Nama Hewan dalam bahasa inggris untuk anak usia dini.Game ini akan dibuat dengan Metode Game Development Life Cycle (GDLC) di platform Unity menggunakan bahasa C#, dengan model 2D dan kontrol drag-and-drop. Didesain untuk dimainkan offline di perangkat Android, game ini akan fokus pada 13 hewan herbivora. Survei menunjukkan anak-anak usia dini menghabiskan 1-2 jam sehari bermain game, dengan genre puzzle sebagai favorit, dan tertarik pada game edukasi. Game ini diharapkan dapat menawarkan pengalaman belajar yang menyenangkan dan efektif.
PENERAPAN YOLO (YOU ONLY LOOK ONCE) UNTUK DETEKSI ETIKA BERBUSANA DI UNIVERSITAS MUHAMMADIYAH SUKABUMI
Authors: Jamaludin Firdaus , Asriyanik Asriyanik , Pambudi Agung
Published: November 2024

Pendidikan memainkan peranan yang krusial dalam mengembangkan potensi individu dan kemajuan masyarakat. Universitas Muhammadiyah Sukabumi, sebagai lembaga pendidikan Islam, menekankan pentingnya etika berbusana sebagai cerminan nilai dan norma kampus. Dengan kemajuan teknologi, khususnya dalam kecerdasan buatan dan model deep learning seperti YOLO (You Only Look Once), data gambar yang digunakan meliputi empat kategori busana yang dikumpulkan dari berbagai sumber dengan total 400 frame citra. Data ini kemudian diproses melalui pelabelan menggunakan aplikasi Roboflow serta augmentasi untuk meningkatkan variasi dataset. Model YOLOv8 dilatih dengan 1200 frame citra dan dievaluasi menggunakan metrik seperti Mean Average Precision (mAP) dan Confusion Matrix, menghasilkan akurasi rata-rata sebesar 99,5%. Implementasi model ini dilakukan pada situs web berbasis Flask, memungkinkan deteksi objek secara real-time melalui kamera. Sistem ini bertujuan untuk memberikan solusi praktis dalam pemantauan dan pengelolaan etika berbusana, berfungsi sebagai asisten otomatis yang memberikan informasi langsung kepada pengguna.
IMPLEMENTASI ALGORITMA C5.0 PADA PENILAIAN TINGKAT KEPUASAN PEMUSTAKA DALAM PENGGUNAAN DIGITAL LIBRARY
Authors: Aidia Fitra Sania Nana , Lestanti Sri , Primasari Yusniarsi
Published: November 2024

Digital library merupakan pusat informasi dan pembelajaran yang penting untuk perguruan tinggi. Oleh karena itu, penting bagi perpustakaan untuk terus meningkatkan kualitas aplikasi. Untuk meningkatkan kualitas aplikasi, tentu hal itu tidak dapat dipisahkan dari pengalaman pemustaka dalam menggunakan digital library sebagai bahan rujukan perbaikan dan pengembangan aplikasi. Penelitian ini bertujuan untuk menguji tingkat kepuasan pemustaka dalam penggunaan layanan digital library menggunakan algoritma C5.0 dan teknik evaluasi menggunakan confusion matrix. Data diperoleh dari 251 responden melalui kuesioner yang menilai faktor-faktor seperti effectiveness, efficiency, dan satisfaction terhadap fitur-fitur digital library. Hasil analisis menunjukkan bahwa effectiveness, terutama dalam hal kemampuan mencari informasi dan navigasi yang intuitif, memiliki pengaruh signifikan terhadap kepuasan pengguna. Pengujian menunjukkan akurasi yang baik, dengan nilai mencapai 96,81%, serta precision dan recall yang memadai untuk label “puas” dan “tidak puas”. Hasil ini menunjukkan bahwa algoritma C5.0 yang diimplementasikan dengan RapidMiner dapat menghasilkan model yang akurat dalam menentukan kepuasan pemustaka.
PENCEGAHAN HAMA PADA TANAMAN PADI MENGGUNAKAN INTERNET OF THINGS (IOT) MENGGUNAKAN RIDDEX ULTRASONIC
Authors: Ucik Ning , Zainul Abidin Rahmad
Published: November 2024

Pentingnya pencegahan hama pada tanaman padi bagi seorang petani untuk menjaga padi tidak terkena serangan hama, agar memaksimalkan padi ketika panen. Maka peneliti perlu membangun sebuah alat yang mampu memonitoring dan mencegah hama pada tanaman padi secara otomatis. Sensor yang dibuat memanfaatkan sensor Riddex Ultrasonic untuk mendeteksi datangnya hama. Mikrokontrollernya menggunakan Arduino wemo D1mini, karena sudah support  networking Wi-Fi. Jika hama mendekat kea rah sensor sekitar 20 meter, maka secara otomatis sensor akan berbunyi dengan maksimal, sehingga membuat hama keluar dari area padi. Kemudian actor akan mendapatkan notifikasi melalui smartphone dengan menggunakan App Inventor yang sudah terkoneksi dengan internet.  Metode yang di gunakan adalah sensor riddex ultrasonic yang berbasis iot agar memudahkan petanimendeteksi hama dari jarak jauh dan bisa memantau dari rumah dengan tenang dan damai. Maka, karena efek sistem navigasi sangat berpengaruh pada terganggunya komunikasi hama pada padi. Hasil dari penelitian ini adalah alat ini dapat mendeteksi keberadaan hama secara otomatis. Alat ini bekerja dengan menggunakan sensor riddex ultrasonic yang dapat mendeteksi keberadaan hama dan mengirimkan perintah kepada mikrokontroller ketika hama mendekati sensor.
ANALISIS KEAMANAN SISTEM INFORMASI ABSENSI BKAD KANTOR WALIKOTA MEDAN
Authors: Drizal M. Arfan , Ridho Faizin
Published: November 2024

Perkembangan teknologi informasi mendorong digitalisasi sistem absensi di instansi pemerintah, termasuk BKAD Kota Medan. Meskipun sistem berbasis web menawarkan efisiensi, ia juga menghadapi ancaman keamanan yang dapat merusak integritas data pegawai. Sistem absensi online sering mengalami masalah seperti lemahnya mekanisme otentikasi, kurangnya enkripsi data, dan kerentanan terhadap serangan seperti man-in-the-middle. Celah ini dapat dimanfaatkan untuk manipulasi data dan pencurian informasi pribadi. Penelitian ini bertujuan untuk menganalisis tingkat keamanan sistem informasi absensi BKAD Kota Medan, mengevaluasi risiko yang ada, dan memberikan rekomendasi perbaikan untuk meningkatkan keamanan sistem. Metode yang digunakan adalah penetration testing dengan teknik sniffing menggunakan aplikasi Wireshark untuk menganalisis kerentanan dalam sistem. Hasil analisis menunjukkan bahwa sistem memiliki kerentanan signifikan, terutama pada protokol HTTP. Informasi sensitif seperti username dan password dapat diakses dengan mudah. Penggunaan HTTPS meningkatkan keamanan tetapi masih ada risiko kebocoran informasi.
PERANCANGAN DESAIN APLIKASI EDUKASI KOMPUTER BERBASIS MOBILE DENGAN QUIZ INTERAKTIF MENGGUNAKAN CANVA
Authors: Syahputra Fahmy , Sabrina Elsa , Abdurrahman Umar , Yunansyah Siregar Wal , Munawwar Muhammad , Naufal Ilham Muhammad , Afriansyah Pulungan Wira
Published: November 2024

Pengetahuan tentang komputer menjadi hal yang penting bagi anak-anak dalam era digital saat ini, namun kurangnya media pembelajaran yang interaktif dan menarik menjadi permasalahan utama. Untuk mengatasi hal tersebut, penelitian ini bertujuan merancang aplikasi edukasi komputer berbasis mobile dengan fitur quiz interaktif yang menyajikan materi tentang komponen komputer secara visual. Metode yang digunakan dalam pengembangan aplikasi ini berfokus pada desain antarmuka pengguna (UI) menggunakan Canva, yang memudahkan pembuatan elemen visual seperti ikon, tombol, dan tata letak. Hasil dari desain aplikasi ini menunjukkan bahwa media edukasi ini dapat memberikan pengalaman belajar yang lebih menarik dan menyenangkan bagi anak-anak dalam memahami konsep dasar komputer.
Conceptual framework for determining the effectiveness of tasks and measures implementation in state targeted development programs to improve road management efficiency
Authors:   State Enterprise «National Institute for Development Іnfrastructure» (SE «NIDI»), Kyiv, Ukraine, Bezuglіy Artem , Stasiuk Bohdan ,   State Enterprise «National Institute for Development Іnfrastructure» (SE «NIDI»), Kyiv, Ukraine, Dulia Mykhailo ,   State Enterprise «National Institute for Development Іnfrastructure» (SE «NIDI»), Kyiv, Ukraine, Mudrychenko Nataliia ,   State Enterprise «National Institute for Development Infrastructure» (SE «NIDI»), Kyiv, Ukraine, Pechonchyk Taras ,   State Enterprise «National Institute for Infrastructure Development» (SE «NIDI»), Kyiv, Ukraine
Published: November 2024

Introduction. Effective functioning of road transport is only possible when the quantitative growth, quality level, and technical condition of roads meet the demands of road transport. This combination of road network characteristics can only be achieved with adequate funding to implement all planned works. Investments in road infrastructure can become a catalyst for economic recovery and growth, as they will improve logistics capabilities, reduce freight and passenger transportation costs, and enhance regional competitiveness. Problem Statement. In the first decades of independence, the road industry faced chronic underfunding, which negatively affected its development. The situation worsened with the full-scale military aggression of the Russian Federation in 2024. According to the World Bank's “Rapid Damage and Needs Assessment (RDNA3)” report, post-war recovery needs for public roads and bridges alone are estimated at around USD 28.8 billion. For the rapid and quality restoration and development of Ukraine, this issue is critically important, as the state of the roads affects transportation costs, prices, employment levels, and the overall pace of economic development. Furthermore, the full-scale invasion by the Russian Federation raises questions about ensuring reliable logistics routes, prompt transportation of humanitarian aid, and the country's defense capabilities.
Review of methodological approaches to planning maintenance work for road network operations
Authors:   State Enterprise «National Institute of Infrastructure Development» (SE «NIDI»), Kyiv, Ukraine, Illiash Serhii , Stasiuk Tetiana ,   State Enterprise «National Institute for Development Іnfrastructure» (SE «NIDI»), Kyiv, Ukraine
Published: November 2024

Introduction. The development of Ukraine's road network under current conditions is characterized by limited funding for road maintenance. At the same time, determining the scope and list of works based on the actual operational condition of the roads is extremely important, as it significantly affects the safety and comfort of road users, as well as the efficiency of vehicle operation. A standard norm is used to determine the planned scope of work, which is averaged for roads of the corresponding category. This simplifies calculations, but such an approach does not precisely establish the annual planned volumes of maintenance work for a specific section, as it does not consider its actual operational condition. Given the current level of funding, it is relevant to develop a methodology for determining the planned volumes and lists of maintenance work that is accurate enough, but does not require significant costs for road section inspections. Problem Statement. The determination of the scope of maintenance work is based on a comprehensive analysis of the road surface condition, forecasted traffic loads, and the allocation of budgetary resources. However, under martial law, the country’s priorities have shifted, with the focus on ensuring state defense, providing humanitarian aid, etc. Based on the current trends in the development of Ukraine’s road industry, the main task is the rational use of limited financial resources and maintaining roads in proper operational condition.
MECKEL'S DIVERTICULUM AS A CAUSE OF SMALL BOWEL OBSTRUCTION : A CASE REPORT AND REVIEW OF LITERATURE
Authors: Srivatsan Pooja , Gupta Priya , Indap Shalaka
Published: November 2024

The leading causes of small bowel obstruction in developing countries
such as India include adhesions followed by carcinoma and strictures
(mainly due to Tuberculosis) (1). Meckel's diverticulum is one of the
most common congenital malformation of the gastrointestinal tract (2)
which presents most commonly in childhood. In adults, it remains
asymptomatic. When symptomatic, gastrointestinal bleeding is the
most common presentation.(3) It is difcult to diagnose radiologically
and in most asymptomatic individuals, it cannot be distinguished from
the normal bowel.
SCREENING OF SURFACTANTS IN IVERMECTIN PRONIOSOMES USING QUALITY BY DESIGN APPROACH
Authors: Malete Bhoomika , Shah Shivani , Shah Chainesh , Upadhyay Umesh
Published: November 2024

Pro-niosomes emerge as superior vesicular carrier among them. Pro-niosomes are dry formulations of carrier system coated with water-soluble
nonionic surfactant that immediately hydrates to form niosomes. They have potential to improve drug solubility, bioavailability, and absorption by
overcoming instability issues associated with niosomes and liposomes. Additionally, they provide exible drug delivery strategy for wide range of
hydrophilic and hydrophobic drugs. They can effectively deliver drugs to specic site of action through variety of routes to achieve controlled
release action and reduce drug-induced toxic effects. IVM is low-solubility BCS II drug that works by paralyzing and eliminating parasites.
Additionally, drug's Log Pvalue of 5.83 indicates that it is suitable for skin route and highly lipophilic. These topical preparations probably function
through IVM absorption through skin barrier to diseased sites. Because it was discovered to be safe, tolerable, and effective. The Concept of QbD is
a systemic approach to development that begins with predened objectives and process control, based on sound and quality risk management.
DIAGNOSTIC CHALLENGES IN A YOUNG FEMALE: MILIARY TUBERCULOSIS WITH CYSTIC LUNG CHANGES AND PNEUMOTHORAX
Authors: N Kumar Pavan , Amirullah Amirullah , N Huliraj , Kumar R Deepak
Published: November 2024

The patient, a 25-year-old female with an unremarkable medical
history, presented to KIMS hospital complaining of fever, night
sweats, weight loss, and a non-productive cough persisting for a
month. Following initial evaluations including clinical assessment,
hematological tests, and radiological examinations, a diagnosis of
military tuberculosis (TB) affecting the lungs was made, prompting
initiation of anti-tubercular treatment (ATT). However, subsequent
follow-up revealed non-response to treatment, accompanied by the
development of cystic changes in the lung and pneumothorax. Further
diagnostic exploration ensued, including consideration of alternative
diagnoses such as lymphangioleiomyomatosis (LAM), ultimately
leading to a conclusive diagnosis of granulomatous inammation
likely due to tuberculosis. Treatment was adjusted accordingly,
leading to symptomatic relief and eventual discharge.
COMPARATIVE EVALUATION OF MICROLEAKAGE IN CLASS V CAVITIES RESTORED WITH TWO NEWER FLOWABLE COMPOSITES
Authors: Hemesh Gantala , Bansal Parul , Kumar Mohit , Bhatt Megna , Seth Tanya , Malik Akanksha
Published: November 2024

Aim: The aim of this study was to evaluate microleakage around class V cavities restored using two owable composites namely GC G-aenial
Flow composite and 3M Filtek Supreme Flow Composites.” Materials and Methods: Sixty human premolars with no anomaly or decay
extracted for orthodontic reasons were included in this study. The samples (n= 60) were divided into four groups (n=15) based on the materials
used for the restoration. In group1,2 and 3, conventional class V cavities were prepared on the facial surface of all teeth parallel to the cementoenamel junction. In Group1 (n=15), the samples were restored with GC G-aenial Universal ow composite. In Group2 (n=15), the samples were
restored with 3M Filtek supreme ow composite. In Group3 (n=15), the only class V cavity preparation was done without restoration. In group 4
(n=15), no cavity preparation was done. The samples were subjected to 500 thermocycling and microleakage was assessed using 2% methylene
blue. The teeth were then sectioned in a bucco-lingual direction through the centre of the restoration. The sections were assessed under
stereomicroscope at 40x magnication. Results: In between Group 1 (GC G-aenial Universal Flow) and Group 2 (3M Filtek Supreme Flow), least
microleakage was exhibited by Group 1. In Group 1 there was no signicant difference between occlusal and cervical microleakage. In Group 2
microleakage was found to be signicantly higher at cervical margin.” Conclusion: GC G-aenial ow composite showed less microleakage as
compared to 3M Filtek Supreme Flowable Composite in both occlusal and cervical margins.
BIOCHEMICAL MARKERS OF SEVERE COVID PATIENTS ADMITTED TO ICU IN A TERTIARY CARE HOSPITAL IN KERALA
Authors: P Jobin , kallarikkandi Thejus
Published: November 2024

Background: COVID-19 has presented diverse clinical characteristics in different countries. Studies on the laboratory parameters of severe
COVID-19 patients admitted to ICUs in India are limited. This study aims to investigate the laboratory ndings of patients with COVID-19 at
different stages of the disease, focusing on the differences between survivors and non-survivors among severe COVID-19 patients admitted to the
ICU in Kerala, India.Materials and Methods: This cross-sectional study analyzed medical records of patients admitted to the ICU of Chazhikattu
Memorial Hospital in Thodupuzha, India, from January 2021 to June 2022. The hospital was designated as a COVID Hospital by the Government
of Kerala during the early phase of the pandemic. Patients who met the inclusion criteria were selected, and the study was approved by the Hospital
Ethics Committee. Results: Signicant differences were observed between survivors and non-survivors in terms of age, absolute neutrophil count
(ANC), absolute lymphocyte count (ALC), neutrophil-to-lymphocyte ratio (NLR), urea, creatinine,D-Dimer and C-reactive protein (CRP) levels.
Elevated D-dimer and CRP levels at admission, as well as persistently high ANC, low ALC, increased NLR, and high CRP levels during
hospitalization, were signicantly associated with a higher risk of mortality. Conclusion: The study highlights the importance of certain laboratory
parameters in predicting the clinical outcome of patients with severe COVID-19. These ndings may help guide the clinical management and risk
stratication of patients with COVID-19, ultimately contributing to improved patient care and outcomes.
CLINICAL APPLICATIONS OF POINT-OF-CARE BRAIN SONOGRAPHY IN THREE DIFFERENT NEUROSURGICAL SCENARIOS - A CASE SERIES
Authors: Desai Teena , Patil Abhishek , Gnana Neha Sunil Thamadapalle , Gautam Abhishek , Sharma Ela
Published: November 2024

Background: Point-of-care ultrasound is an important alternative, non-invasive bedside modality for patients' rapid diagnosis and management.
Transcranial ultrasound has been used as a real-time measuring tool for cerebrovascular function assessment and rapid assessment of pathological
changes in neurocritical ill patients. We present Methodology: a series of 12 cases with three types of neurosurgical case scenarios namely chronic
subdural hemorrhage, reconstructive cranioplasty, and ventriculoperitoneal shunt in whom the third ventricle width was assessed using transcranial
ultrasound as a marker for change in brain volume pre and post-procedure. It was performed by placing a low-frequency ultrasound probe through the
temporal acoustic bone window, with the third ventricle being visualized as two hyperechogenic lines. The third ventricle width (TVW) was assessed as
the maximum distance between the inner boundaries of both hyperechogenic lines. Assessment was done pre and post-procedure to monitor the change
in brain volume. The values were correlated to the preoperative and postoperative non-contrast computed tomography (NCCT) scans. The Result:
readings obtained via transcranial ultrasonography were comparable to the values on Computed Tomography (CT) (as shown in the table). Transcranial
ultrasonography offers insight on brain volume, cranial pressures, and midline shift which can be assessed almost immediately after the indicated
surgical procedure is performed. Assessment of TVW Conclusion: to detect changes in brain volume by trans-cranial sonography remains a simple,
reproducible, non-invasive tool and has a good correlation with CT scans which are expensive and time-consuming.
Benzodiazepines: Predominant Reported Acute Poisoning to Private Sector Tertiary Care Hospitals in Karachi
Authors: Hassan Qudsia , Ali Muhammad Ikram , Anwar Azra , Danish Syed Hasan , Ashraf Abdullah
Published: November 2024

Background: Acute poisoning is a major medical emergency that translates into morbidity and mortality across all age groups, it is a potentially preventable cause of illness and death. This study was carried out to assess the epidemiological information of acute poisoning among the general population presented to the three campuses of a private tertiary care teaching hospital in Karachi, Pakistan.
Method: The cross-sectional study was conducted at three campuses of a private tertiary care teaching hospital, Dr. Ziauddin Hospital in Karachi, comprising of records from January 1, 2018, to December 31, 2022, of patients reporting acute poisoning. These records were accessed after getting approval from the Ethical review committee. Consecutive sampling technique was applied while data was collected. All cases of acute poisoning reporting to the emergency department with complete records were included. While data of those with any other diagnosis or incomplete record were excluded. Descriptive analysis was performed for quantitative variables. For categorical data frequency and percentages were extracted. The chi-square test was used to associate categorical variables. P value less than 0.05 was taken as statistically significant.
Results: The total number of cases was n=518 out of which n=235 (45.4%) were males while n=283 (54.6%) were females and the maximum number of cases n=111 (21.4%) were associated with Benzodiazepines followed by insecticide poisoning and ingestion of rodenticides.
Conclusions: The most susceptible groups to acute poisoning were found to be women and children. A prevalent agent that caused toxicity was benzodiazepines; the biggest number of cases occurred in April, while the lowest number occurred in December. The year 2020 was linked to the highest number of cases.
Systemic Lupus Erythematosus Complicated by Dilated Cardiomyopathy and Severe Heart Failure: A Case Report
Authors: Moujahid Mehdi , Britel Driss , Nabil Laktib , Fihri Youssef , Faid Soumia , Faliouni Hicham , Mouine Najat , Asfalou Ilyasse , Lakhal Zouhair , Benyass Aatif
Published: November 2024

Systemic lupus erythematosus (SLE), a connective tissue disease characterized by the production of autoantibodies, can affect all organ systems. Cardiac involvement in patients with systemic lupus erythematosus (SLE) has been documented since the early 20th century. The manifestations may be diverse and may affect any portion of the heart, including the pericardium, the conduction system, the myocardium, the valves, and the coronary arteries. The incidence of cardiomyopathy associated with systemic lupus erythematosus (SLE) that is clinically manifested is rare; the majority of studies have indicated a prevalence of approximately 10%. Echocardiography has offered insights into cardiac anatomy and function in patients with systemic lupus erythematosus (SLE), with and without cardiac involvement. Endomyocardial biopsy is considered as the gold standard for diagnosis; however, its low sensitivity and risk of complications have limited its application. Cardiac magnetic resonance (CMR) imaging offers a promising alternative to myocardial biopsy. We present the case of a 57-year-old female with a history of lupus since 2010, who presented with an acute inaugural decompensation of dilated cardiomyopathy, with a left ventricular ejection fraction (LVEF) of 28%.
Determinants of Acute Watery Diarrhea in Children Under Five Years: A Comprehensive Analysis
Authors: Hossain Dr. Md. Sharafat , Ullah Dr. ABM Habib , Hossain Dr. Md. Bellal
Published: November 2024

Background: Acute watery diarrhea (AWD), which has a sudden onset and is associated with a risk of severe dehydration, is primarily spread through unsafe water, poor sanitation, and inadequate hygiene. Socioeconomic factors, like low parental education and poverty, further increase risks. WHO-recommended interventions, including oral rehydration therapy, zinc supplementation, and rotavirus vaccinations, have reduced diarrhea-related deaths globally. Aim of the study: This study aims to explore the socio-demographic, environmental, and behavioral factors associated with childhood watery diarrhea, particularly in high-risk regions. Methods: This prospective observational study was conducted at the Department of Pediatric, 250 Bedded General Hospital, Khulna, Bangladesh, with 210 children aged 0–60 months presenting acute watery diarrhea, enrolled over one year July 2023 to June 2024. Eligible children met specific inclusion criteria, while exclusion was applied to cases of chronic diarrhea or unrelated pre-existing conditions. Data confidentiality was maintained, with ethical approval granted. The analysis involved descriptive statistics in SPSS (version 26) for comprehensive result interpretation. Result: The study included 210 children under five, with a mean age of 14.51±5.34 months; most were aged 7-12 months (38.10%), and 54.29% were male. Caregivers were predominantly aged 28.39±4.11 years, with 73.81% having completed primary education. Key findings included high MMR vaccination rates (62.38%), significant exclusive breastfeeding for six months (58.57%), and recent diarrhea reports among 20.95% of caregivers. In terms of WASH practices, 60.48% used piped water, 57.62% stored drinking water separately, and 95.71% had toilet facilities. Notably, 67.14% used water only for handwashing, and 45.24% washed hands with soap post-toilet use. Conclusion: Safe water, sanitation, and handwashing practices are essential to reducing acute watery diarrhea in children under five. Children in households with untreated water and inconsistent caregiver handwashing face higher risks. Targeted public health initiatives to improve water treatment and hygiene could greatly reduce diarrhea incidence and improve child health outcomes.
Reducing Model Uncertainty: Optimized Ensemble Methods for High-Stakes Prediction Tasks
Authors: Sai Krishna Manohar Cheemakurthi
Published: November 2024

Reliable forecasts are critical in high-risk application areas, including healthcare, finance, and autonomous systems. In these critical applications, this research investigates the application of optimized ensemble techniques to minimize model uncertainties. To address such issues, we describe an approach that integrates multiple learning models to enhance real-time data processing performance and overcome the computational hurdles imposed by such methods. Using real-time working examples to generate simulation reports, we see how ensemble methods can help build more accurate predictions. Additionally, this paper presents typical issues in high-stake prediction scenarios and provides actionable advice on tactfully resolving them by model fine-tuning and uncertainty minimization. The findings, therefore, stress the necessity of applying effective AI solutions to increase the reliability of advanced decisions, thus enhancing performance in extended application domains.
Safeguarding Patient Privacy: Ethical AI Frameworks for Secure Healthcare Data Management
Authors: Naresh Babu Kilaru
Published: November 2024

In this paper, AI is regarded as effective in healthcare in terms of its ability to manage data and patient care better and make processes functional. However, AI integration in health care systems raises high-risk ethical concerns, such as patient information, privacy, and safety. In this paper, the writer aims to discover some of the drawbacks of using AI in health systems, especially in data management, from the perspective of patients' privacy policy. Extrapolating from live cases and simulations, reports, and legal analysis, this paper concludes with guidelines on the ethical and efficient protection of healthcare data through AI. It also explains the challenges facing the implementation of these frameworks and how privacy can be further minimized to increase the utility of AI in the healthcare .
Overcoming Dataset Bias: A Deep Learning Approach to Improve Cross-Cultural Image Classification
Authors: Sai Krishna Manohar Cheemakurthi
Published: November 2024

The difficulties and strategies concerning cross-ethnic image categorization are discussed throughout this report based on deep learning techniques for preventing model bias towards specific ethnic groups. In this part of the project, we continued our discussion of the theory and practice of bias in training datasets and how it impacts the model in the case of emotion recognition and facial analysis using simulations. Three real-time scenarios were explored: public security applications, health status evaluations, education performance, and awareness, all of which must include culturally sensitive data to maximize performance. Some of the issues we defined include the data bias problem, the problem that different cultures exhibit different levels of emotions, and technical concerns such as the limitations of machine learning algorithms, among others that we have described in the paper. Some solutions we provided include data augmentation, real-time learning, and ethical concerns such as using machine learning in making decisions. In doing so, we propose solutions that include building models that are not only precise but also culturally sensitive to avoid prejudice in applications, ranging from credit scoring to complaints handling.
Review On Various Protocol To Access Imidazole And It’s Versatile Biological Activities
Authors: - Karan C. Waghmare , - Babasaheb B. Maind , - Adesh V. Kharate , - Gajanan Y. Shinde , - Dr. Bapurao B. Shingate
Published: November 2024

Imidazole occupies a significant role in heterocyclic chemistry, with its derivatives drawing increasing interest recently due to their diverse chemistry and pharmacological properties. It is a nitrogen containing heterocyclic ring crucial in both biological processes and pharmaceutical applications. Consequently, imidazole compounds have captivated researchers for over a century, serving as a compelling source of investigation. These derivatives exhibit a wide array of biological activities, including antibacterial, anticancer, anti-tubercular, anti-diabetic activity, anti-fungal, anti-inflammatory activity and anti-HIV effects. This review aims to chronicle the historical evolution of imidazole’s biological activities and the work reported on the synthesis of imidazole derivatives. A multitude of imidazole derivatives are available and the incorporation of the imidazole nucleus remains a pivotal strategy in synthetic drug discovery.
The Concept of Homosexuality and Homosexuals among Late Adolescents
Authors: - Athulya TK , - Aparna VV
Published: November 2024

In India, generally studies on dimensions of alternate sexualities, are rare. The social stigma surrounding sexual minorities often acts as a hindrance in the production of research focusing on alternative sexualities. Kerala is the state with the highest literacy rate in India. But, the people of Kerala are still prejudiced towards homosexuality. Recent incidents, such as the legal fight for freedom by lesbian couples when they were separated by family and tortured (Onmanorama, 2022); the queer person's family's refusal to receive his body (The News Minute, 2022), reflects the highly homophobic attitude of the people. The presented study is qualitative and explores the conceptualization of homosexuality among late adolescents in Kerala. The study utilized semi-structured interviews. Using reflexive thematic analysis, four major themes were extracted: (1) Knowledge about homosexuality and homosexuals, (2) Factors determining the attitude toward homosexuality and homosexuals, (3) Behavior toward homosexuality and homosexuals, and (4) Perceived causes of homosexuality. The non-visibility of the LGBTQIA+ community and lack of authentic sources of knowledge were found to be significant barriers to their understanding of homosexuality. Positive portrayal of the LGBTQIA+ community in media and implementation of comprehensive sex education in institutions are recommended to foster a better understanding of homosexuality.
The Phytochemistry and Medicinal value of Psidium guajava ( guava ) : Antiobesity Effect
Authors: - Kanchan R. Golait , - Mayuri K. Rathod , - Sushmita Chavan
Published: November 2024

Obesity in society has reached epidemic proportions in the 21 st century. Being Overweight is not only appearance issue but also is actually a medical concern, because it is serious health condition. Diabetes and Heart diseases that can stem from obesity . The plant Psidium guajava Linn (Guava) is used not only as food
but also as folk medicine. We subjected the leaves of these plant for Alcoholic extraction using solvent Ethanol and extract were prepared we infer that the oral administration of guava leaves extract shows Anti Obesity effect (weight loss). So this study proves that the guava leaves extract helps to control obesity.