bluuebunny/crossref_metadata_2025 huggingface dataset:
MEASUREMENT OF ALMAMATER SUIT SUPPLY CHAIN PERFORMANCE IN SACIKA COOPERATIVE USING SCOR
Authors: Ayu Nirwana Zahra Fikri , Firmansyah Aruga Yudish , Fadhilah Syifa Nur , Fathoni M Yoka
Published: April 2024

Abstract: SACIKA Cooperative, as a student cooperative at the Telkom Institute of Technology Purwokerto, provides almamater suit procurement services. Currently, the process of procuring and ordering almamater suits is faced with several obstacles, which results in students as customers feeling disadvantaged during the ordering process. Therefore, it is necessary to evaluate the performance of the supply chain at the SACIKA Cooperative in order to improve efficiency and suitability in the procurement of alma mater suits. This study aims to assess the performance of the alma mater suit supply chain at the SACIKA Cooperative using the SCOR Matrix. This type of research is descriptive quantitative, with data collection conducted through interviews and observations. Supply chain performance measurement is carried out using four attributes and matrices, namely Reliability with Perfect Order Fulfillment (POF), Responsiveness with Order Fulfillment Cycle Time (OFCT) Matrix, Agility with Cost of Goods Sold (COGS), and Assets with Cash-to-Cash Cycle Time (CTCCT) Matrix. The results showed the performance value of each matrix, namely POF of 96.47%, OFCT 1 day, COGS 92.94%, and CTCCT 8 days.            Keywords: SCOR matrix; supply chain management; supply chain flow patterns  Abstrak: Koperasi SACIKA, sebagai koperasi mahasiswa di lingkungan Institut Teknologi Telkom Purwokerto, menyediakan layanan pengadaan jas almamater. Saat ini, proses pengadaan dan pemesanan jas almamater dihadapi beberapa kendala, yang mengakibatkan mahasiswa sebagai pelanggan merasa dirugikan selama proses pemesanan. Oleh karena itu, perlu dilakukan evaluasi terhadap kinerja rantai pasok di Koperasi SACIKA guna meningkatkan efisiensi dan kesesuaian dalam pengadaan jas almamater. Penelitian ini bertujuan untuk menilai kinerja rantai pasok jas almamater di Koperasi SACIKA menggunakan Matriks SCOR. Jenis penelitian ini bersifat deskriptif kuantitatif, dengan pengumpulan data dilakukan melalui wawancara dan observasi. Pengukuran kinerja rantai pasok dilakukan dengan menggunakan empat atribut dan matriks, yaitu Reliability with Perfect Order Fulfillment (POF), Responsiveness with Order Fulfillment Cycle Time (OFCT) Matrix, Agility with Cost of Goods Sold (COGS), dan Assets with Cash-to-Cash Cycle Time (CTCCT) Matrix. Hasil penelitian menunjukkan nilai performansi masing-masing matriks, yaitu POF sebesar 96,47%, OFCT 1 hari, COGS 92,94%, dan CTCCT 8 hari. Kata kunci: matriks SCOR; manajemen rantai pasok; pola aliran rantai pasok
DETECTION OF LEAF SPOT DISEASE IN OIL PALM SEEDLINGS USING CONVOLUTIONAL NEURAL NETWORK METHOD
Authors: Azhar Yufis , Zulva Muhammad Shalahuddin
Published: April 2024

Abstract: This research aims to develop a method for detecting leaf spot disease in oil palm seedlings using Convolutional Neural Network (CNN). Leaf spot disease in oil palm seedlings can hinder growth and production. CNN has proven effective in image processing and classification, particularly in plant disease detection. In this study, we utilized a dataset of images containing oil palm seedling leaves infected with leaf spot disease and healthy leaves. We performed data processing, built a CNN model, and conducted hyperparameter tuning. The test results demonstrate that the developed CNN model achieves high accuracy in recognizing and distinguishing between oil palm seedling leaves infected with leaf spot disease and healthy ones. This research contributes to the development of plant disease detection technology that can support economic growth in the oil palm plantation sector. Keywords: Convolutional Neural Network, image processing, leaf spot disease detection, oil palm seedlings. Abstrak: Penelitian ini bertujuan untuk mengembangkan metode deteksi penyakit bercak pada bibit kelapa sawit menggunakan Convolutional Neural Network (CNN). Bibit kelapa sawit yang terinfeksi penyakit bercak dapat menghambat pertumbuhan dan produksi kelapa sawit. Metode CNN telah terbukti efektif dalam pengolahan citra dan klasifikasi, khususnya dalam deteksi penyakit pada tanaman. Dalam penelitian ini, kami menggunakan dataset citra daun bibit kelapa sawit yang terinfeksi penyakit bercak dan yang normal. Kami melakukan processing data, membangun model CNN, dan melakukan tuning hyperparameter. Hasil pengujian menunjukkan bahwa model CNN yang dikembangkan memiliki akurasi yang tinggi dalam mengenali dan membedakan citra daun bibit kelapa sawit yang terinfeksi penyakit bercak dan yang normal. Penelitian ini memberikan kontribusi dalam pengembangan teknologi deteksi penyakit tanaman yang dapat mendukung pertumbuhan ekonomi di sektor perkebunan kelapa sawit. Kata kunci: bibit kelapa sawit, Convolutional Neural Network, deteksi penyakit bercak,  pengolahan citra.
CUSTOMER SATISFACTION ANALYSIS REGARDING USING HALODOC APPLICATION CUSTOMER SATISFACTION INDEX (CSI) METHOD
Authors: Sari Dely Indah , Harahap Widya Lestari , Ali Faishal
Published: April 2024

Abstract: Halodoc is an ICT that supports access to health service facilities, with various facilities such as consultations with doctors, purchasing medicines, making appointments with hospitals, as well as several other health support facilities. This research is based on calculations using the Customer Satisfaction Index (CSI) method to determine the overall level of customer satisfaction with an approach that considers the level of importance of product or service attributes as measured by an importance scale (Importance), a satisfaction/performance level scale (Performance) and the question indicators include usability, information quality, interaction quality, then the satisfaction level criteria are obtained with a CSI value of 61.29%, meaning that the patient gives the criteria as being quite satisfied with Halodoc services. Keywords: CSI, halodoc, patient  Abstrak: Halodoc merupakan TIK yang mendukung akses fasilitas pelayanan kesehatan, dengan berbagai fasilitas yang dimiliki seperti konsultasi dengan dokter, pembelian obat, buat janji dengan rumah sakit, serta beberapa fasilitas pendukung kesehatan lainnya. Penelitian ini berdasarkan perhitungan menggunakan metode Customer Satisfaction Index (CSI) untuk menentukan tingkat kepuasan pelanggan secara menyeluruh dengan pendekatan yang mempertimbangkan tingkat kepentingan dari atribut-atribut produk atau jasa yang diukur dengan skala tingkat kepentingan (Importance), skala tingkat kepuasan/kinerja (Performance) dan indikator pertanyaan meliputi usability, information quality, interaction quality maka diperoleh kriteria tingkat kepuasan dengan nilai CSI 61.29% artinya bahwa pasien memberikan kriteria cukup puas terhadap layanan Halodoc. Kata kunci: CSI, halodoc, pasien
DETECTION OF CHILDREN'S NUTRITIONAL STATUS USING MACHINE LEARNING WITH LOGISTIC REGRESSION ALGORITHM
Authors: Yuliana Yuliana , Paradise Paradise , Qulub Mudawil
Published: April 2024

Abstract: Children's nutritional issues are an important concern for parents to pay attention to growth and development, especially health and well-being. According to the results of the Ministry of Health's Indonesian Nutrition Status Survey (SSGI), there are 4 nutritional problems for children in Indonesia, namely stunting, wasting, underweight and everweight. In this research, how to predict signs of symptoms of a decline in a child's nutritional status using a machine learning algorithm, a prediction model was designed using logistic regression in Python IDE to predict whether a child is indicated by a decline in nutrition or not. Dataset from Bengkayang Community Health Center data consisting of 657 pediatric patient data. The dataset is divided into 7 features (independent variables) and 1 predictor (dependent variable). Test results show perfect performance with precision, recall, F1-score, accuracy values of 100%. Then the visualization results on the ROC (Receiver Operating Characteristic) curve to depict the TP (True Positive) value on the Y axis against the FP (false Positive) value on the become overfit. It is recommended that in preparing the training dataset, measure the training data and reduce the features, after carrying out feature selection to increase the accuracy of the model.            Keywords: child nutritional status; growth and development logistic regression; machine learning Abstract: Masalah Gizi anak menjadi perhatian penting bagi orangtua untuk memperhatikan tumbuh kembang, terutama kesehatan dan kejahteraan. Menurut hasil survei status Gizi Indonesia (SSGI) Kemenkes memperlihatkan 4 permasalahan gizi anak di Indonesia yaitu stunting, wasting, underweight, dan everweight. Dalam penelitian ini, bagaimana memprediksi tanda gejala penurunan status gizi anak menggunakan  algoritma  machine  learning dirancang model prediksi menggunakan logistic regression pada Python IDE dengan  memprediksi anak  terindikasi  penurunan gizi  atau tidak. Dataset dari data Puskesmas Bengkayang  yang terdiri 657 data pasien anak. Dataset dibagi menjadi 7 feature (variabel independen) dan 1 predictor (variabel dependen). Hasil Pengujian memperlihatkan kinerja yang sempurna dengan nilai presisi, recall,  F1-score, akurasi, sebesar 100%. Kemudian hasil Visualisasi pada kurva ROC (Receiver Operating Characteristic) untuk menggambarkan nilai TP (True Positif) di sumbu Y terhadap nilai FP (false Positif) di sumbu X juga menunjukkan nilai yang sangat tinggi dan sudah mendekati angka 1 ini pertanda bahwa model ini menjadi overfit. Sebaiknya dalam persiapan training dataset diukur dengan data training dan mengurangi feature, setelah melakukan feature Selection untuk meningkatkan akurasi model. Keywords: logistic regression; machine learning; status gizi anak; tumbuh kembang
THE DEVELOPMENT OF A MOBILE APPLICATION FOR FRUIT GARDEN TOURISM INFORMATION SYSTEM IN SIDOARJO USING FLUTTER
Authors: Zaka Mohammad Fadli , Eviyanti Ade , Findawati Yulian
Published: April 2024

Abstract: This research highlights the significance of information technology in producing relevant, accurate, and timely information as the foundation for strategic knowledge in decision-making. Applications, as software, play a vital role in presenting information tailored to user needs, based on provided input data. Flutter, serving as an SDK for mobile app development, brings superior capabilities in cross-platform application development. The development of a mobile application for Fruit Garden Tourism Information System in Sidoarjo using Flutter aims to facilitate the search for fruit garden tourism spots based on user preferences and provide detailed information about those locations. The objective is to assist the community in discovering and enjoying fruit garden tourism in Sidoarjo. In the testing process, the black-box method is utilized to identify system weaknesses, validate the congruence of executed data with inputs, and prevent potential deficiencies and errors in the application before user deployment. In the testing process, the application has successfully passed tests for its interface and all provided features with success. Keywords: application; flutter; fruit garden tourism; information technology. Abstrak: Penelitian ini menggambarkan pentingnya teknologi informasi dalam menghasilkan informasi yang relevan, akurat, dan waktu tepat sebagai dasar pengetahuan strategis untuk pengambilan keputusan. Aplikasi, sebagai perangkat lunak, memiliki peran vital dalam menyajikan informasi sesuai dengan kebutuhan pengguna, berlandaskan pada data masukan yang diberikan. Flutter, sebagai SDK untuk pembuatan aplikasi mobile, menghadirkan kemampuan unggul dalam pengembangan aplikasi lintas platform. Pengembangan aplikasi mobile untuk Sistem Informasi Wisata Kebun Buah di Sidoarjo menggunakan Flutter bertujuan memudahkan pencarian tempat wisata kebun buah sesuai preferensi pengguna dan menyediakan informasi yang terperinci tentang lokasi tersebut. Tujuannya adalah memfasilitasi masyarakat dalam menemukan dan menikmati wisata kebun buah di Sidoarjo. Dalam proses pengujian, metode black box digunakan untuk mengidentifikasi kelemahan sistem, memvalidasi kesesuaian data yang dieksekusi dengan yang dimasukkan, serta mencegah potensi kekurangan dan kesalahan dalam aplikasi sebelum digunakan oleh pengguna. Pada proses pengujian, aplikasi telah berhasil melewati pengujian untuk aspek tampilan dan seluruh fitur yang disediakan dengan sukses. Kata kunci: aplikasi; flutter; teknologi informasi; wisata kebun buah.
ESTIMATION OF JAVA GRDP IN REGENCY/CITY LEVEL: SATELLITE IMAGERY AND MACHINE LEARNING APPROACHES
Authors: Pemayun Anak Agung Gede Rai Bhaskara Darmawan , Azizi M Ziko , Daulay Nur Ainun , Apriliani Nur Hidayah , Kartiasih Fitri
Published: April 2024

Abstract: Gross Regional Domestic Product (GRDP) is one of the most important socio-economic indicators. In order to gain a more comprehensive understanding of the current economic situation and regional differences, estimating GRDP using integration of satellite imagery and official statistics data can provide valuable information. This research estimates the GRDP value in 2022 by using data in 2019 to 2021 related to two aspects, agriculture and non-agriculture. Soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), and land cover (LC) used as agriculture aspect, while nighttime light (NTL), human settlement index (HSI), land area, and population per regency/city used as non-agriculture aspect. GRDP estimation are produced with machine learning approach using support vector machine (SVM) and random forest (RF) method. Correlation test on each variable shows only land area that does not have a significant correlation with GRDP. RF model then chosen as the best model with RMSE, MSE, MAE, and R2 value of 0.2549; 0.5049; 0.7727; and 0.2543, respectively. The estimated values acquired in several regencies/cities have rather near, some even very close to the official statistics values. Keywords: GRDP; satellite imagery; machine learning; random forest; support vector machine   Abstrak: Produk Domestik Regional Bruto (PDRB) merupakan salah satu indikator sosio-ekonomi yang penting. Penghitungan nilai PDRB dengan pendekatan yang melibatkan kombinasi data citra satelit dan statistik resmi dapat memberikan informasi serta pemahaman yang lebih komprehensif. Penelitian ini melakukan estimasi nilai PDRB pada tahun 2022 menggunakan data tahun 2019 hingga 2021 dengan melibatkan dua aspek, agrikultur dan non-agrikultur. Data soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), dan tutupan lahan (land cover/LC) digunakan sebagai aspek agrikultur, sementara data citra cahaya malam (NTL), human settlement indeks (HSI), luas wilayah kabupaten/kota, dan jumlah populasi per kabupaten/kota digunakan sebagai aspek non-agrikultur. Estimasi PDRB dihasilkan dengan menggunakan pendekatan machine learning berupa support vector machine (SVM) dan random forest (RF). Pengecekan korelasi antarvariabel menunjukkan bahwa hanya variabel luas wilayah tidak berpengaruh signifikan terhadap nilai PDRB. Model random forest kemudian dipilih sebagai model terbaik dengan nilai evaluasi RMSE, MSE, MAE, dan  berturut-turut sebesar 0.2549, 0.5049, 0.7727, dan 0.2543. Nilai estimasi yang diperoleh di beberapa kabupaten/kota cukup mendekati, bahkan ada yang sangat dekat dengan nilai statistik resmi. Kata kunci: PDRB; citra satelit; machine learning; random forest; support vector machine
JAVANESE SCRIPT HANACARAKA CHARACTER PREDICTION WITH RESNET-18 ARCHITECTURE
Authors: Sudewo Egi Dio Bagus , Biddinika Muhammad Kunta , Fadlil Abdul
Published: April 2024

Abstract: This study aims to train computers to recognize Javanese script characters known as Hanacaraka. The evaluation was conducted on the use of Convolutional Neural Network (CNN) with the ResNet-18 architecture in recognizing these characters. The research objective is to overcome traditional character recognition barriers and improve accuracy. The method employed includes building a CNN model with the ResNet-18 architecture and using diverse datasets. The results show a training accuracy of 100%, validation accuracy of 98.01%, and accuracy, precision, recall, and F1-score each at 100%. This study concludes that the developed model successfully achieves a high level of accuracy and contributes positively to the development of Javanese Hanacaraka character recognition technology. Keywords: convolution neural network (CNN); javanese hanacaraka script; resnet-18           Abstrak: Penelitian ini bertujuan melatih komputer untuk mengenali huruf aksara Jawa Hanacaraka. Evaluasi dilakukan terhadap penggunaan Convolutional Neural Network (CNN) dengan arsitektur ResNet-18 dalam pengenalan karakter tersebut. Tujuan penelitian adalah mengatasi hambatan pengenalan karakter tradisional dan meningkatkan akurasi. Metode yang digunakan mencakup pembuatan model CNN dengan arsitektur ResNet-18 dan penggunaan dataset yang beragam. Hasilnya menunjukkan akurasi pelatihan 100%, validasi 98.01%, dan akurasi, presisi, recall, dan F1-score masing-masing sebesar 100%. Simpulan penelitian ini adalah bahwa model yang dikembangkan berhasil mencapai tingkat akurasi yang tinggi dan memberikan kontribusi positif pada pengembangan teknologi pengenalan karakter Hanacaraka Jawa.Kata kunci: convolution neural network (CNN); huruf aksara jawa hanacaraka; resnet-18
DESIGNING UI/UX OF DOCTOR'S CONSULTATION APPLICATION USING DESIGN THINKING METHOD
Authors: Damayanti Wenti Risma , Kuncoro Adam Prayogo , Subarkah Pungkas , Saputro Rujianto Eko
Published: April 2024

Abstract: For all people in the world, the application of information and communication technology has become something that is used in everyday life. All information can be accessed easily using current developments in various technologies. The process of searching for various information on the internet has become a habit of today's society. One of the information that people often seek is about health. Several available online health consultation service applications provide considerable benefits for all users. One method used for the UI and UX design process is design thinking. The average user of the application is 18-35 years old. The user interface provided in this application is not yet user friendly, especially for the elderly. User interface (UI) and user experience (UX) are important so that users feel comfortable when using an application.            Keywords: information technology; consulting application; UI/UX; design thinking  Abstract: Bagi seluruh masyarakat di dunia, penerapan teknologi informasi dan komunikasi menjadi hal yang sudah digunakan dalam kehidupan sehari-hari. Seluruh informasi dapat diakses dengan mudah menggunakan perkembangan berbagai macam teknologi saat ini. Proses mencari berbagai informasi di internet sudah menjadi kebiasaan masyarakat saat ini. Salah satu informasi yang sering dicari oleh masyarakat yaitu tentang kesehatan. Beberapa aplikasi layanan konsultasi kesehatan online yang tersedia memberikan manfaat yang cukup besar bagi seluruh pengguna. Salah satu metode yang digunakan untuk proses desain UI dan UX adalah design thinking. Pengguna aplikasi tersebut rata-rata berusia 18-35 tahun. Tampilan user interface yang disediakan pada aplikasi tersebut belum bersifat user friendly, terutama bagi kalanagn lansia. User interface (UI) dan user experience (UX) menjadi hal penting supaya pengguna merasakan kenyamanan pada saat menggunakan sebuah aplikasi.            Keywords: teknologi informasi; aplikasi konsultasi; UI/UX; design thinking
CANNY EDGE DETECTION AND IMAGE SEGMENTATION FOR PRECISION FACE RECOGNITION SYSTEM
Authors: Devita Retno , Sumijan Sumijan
Published: April 2024

Abstract: Facial recognition is widely used in areas such as video surveillance and database management. Facial images have been used as a preferred biometric feature in many identity recognition systems to obtain good image results in image segmentation. A good image must pay attention to several factors, namely high resolution, good contrast, image sharpness, consistent colors, lack of noise and appropriate lighting conditions. In this face recognition research, using canny edge detection method for 10 original images paired with 10 other images. The original faces taken are male and female. Canny edge detection has a low error rate in image segmentation compared to other edge detections. The purpose of this study is to determine the edge of the image in I-rat and can display the results of a good segmentation of facial images. The results of the test data with data stored in the database in the study is 1 face image produces 67.69% accuracy and 26.92% and 8 other face images produce 100% accuracy. The average success rate of 10 experiments using image segmentation is 89.461%. In conclusion, the canny edge detection method can provide accurate results in the face recognition process.            Keywords: accuracy; canny edge detection; face recognition; image; segmentation  Abstrak : Pengenalan wajah banyak digunakan dalam diberbagai bidang seperti pengawasan video dan manajemen basis data. Gambar wajah telah digunakan sebagai ciri biometrik yang disukai di banyak sistem pengenalan identitas untuk mendapatkan hasil citra yang bagus dalam segmentasi citra. Citra yang baik harus memperhatikan beberapa faktor yaitu resolusi tinggi, kontras yang baik, ketajaman citra, warna yang konsisten, kurangnya noise dan kondisi pencahayaan yang sesuai. Pada penelitian pengenalan wajah ini, menggunakan metode deteksi tepi canny untuk 10 citra asli yang dipasangkan dengan 10 citra lainnya. Wajah asli yang diambil berjenis kelamin laki-laki dan perempuan. Deteksi tepi canny memiliki tingkat kesalahan rendah dalam segmentasi citra dibandingkan dengan deteksi tepi lainnya. Tujuan dari penelitian ini adalah menentukan tepi gambar secara akurat dan dapat menampilkan hasil segmentasi citra wajah yang baik. Hasil dari data uji dengan data yang tersimpan di database dalam penelitian adalah 1 citra wajah menghasilkan akurasi 67,69% dan 26,92% dan 8 citra wajah lainnya menghasilkan akurasi 100%. Rata-rata tingkat keberhasilan dari 10 kali percobaan dengan menggunakan segmentasi citra adalah 89,461%. Kesimpulan, metode deteksi tepi canny dapat memberikan hasil yang akurat dalam proses pengenalan wajah. Kata Kunci : akurasi; deteksi tepi canny; citra; pengenalan wajah; segmentasi
IMPLEMENTATION OF E-CRM TO INCREASE CONSUMER INTEREST IN UD.NAZWAN TINGGI RAJA DISTRICT WEB BASED
Authors: Sihotang Rehani Aulia , Manurung Nuriadi , Latiffani Chitra
Published: April 2024

Abstract: The development of information technology has experienced very rapid growth, especially the internet. The internet makes a very helpful contribution in the business sector. Tight business competition and the rapid growth of information technology make it easy for customers to switch to other stores. UD. Nazwan has not implemented a service that makes it easier for customers to buy goods easily and is still using the service manually, sales report data is still used in ledgers so it is not efficient to keep neat records, customers have to come directly to the shop to find out what products are being sold so customers are not aware of the latest discounts and products sold in the store. UD. Nazwan is a business that sells pants, shoes, school uniforms, shirts, dresses and sandals. One effort to improve service is by implementing the concept of Customer Relationship Management (CRM). The goal achieved at this stage is the operability of the system design results that have been created. With CRM design, you can increase sales to meet customer needs. This system was created to make it easier for UD. Nazwan sells products, processes data computerizedly and can improve service to customers. Keywords: consumer; E-CRM; UD.nazwan.  Abstrak: Perkembangan teknologi informasi telah mengalami pertumbuhan yang sangat pesat terutama internet. Internet memberikan kontribusi yang sangat membantu dalam bidang bisnis. Persaingan bisnis yang ketat dan pesatnya pertumbuhan teknologi informasi memudahkan pelanggan untuk beralih ke toko lain. UD. Nazwan belum menerapkan layanan yang memudahkan pelanggan untuk membeli barang dengan mudah dan masih menggunakan layanan secara manual, data laporan penjualan masih digunakan dalam buku besar sehingga tidak efisien untuk melakukan pencatatan yang tertata rapi, pelanggan harus datang langsung ke toko untuk mengetahui produk apa yang dijual maka pelanggan tidak mengetahui diskon terbaru dan produk yang dijual di toko. UD. Nazwan adalah usaha bisnis  yang menjual produk celana, sepatu, seragam sekolah, kemeja, baju dan sendal. Salah satu upaya dalam meningkatkan pelayanan adalah dengan menerapkan konsep Customer Relationship Management (CRM). Tujuan yang dicapai pada tahap ini adalah operabilitas hasil desain sistem yang telah dibuat. Dengan desain CRM, dapat meningkatkan penjualan dalam memenuhi kebutuhan pelanggan. Sistem ini dibuat untuk memudahkan UD. Nazwan dalam menjual produk, mengolah data secara komputerisasi dan dapat meningkatkan pelayanan kepada pelanggan. Kata kunci: E-CRM; konsumen; UD.nazwan
SIMPLE ADDITIVE WEIGHTING METHOD DECISION SUPPORT SYSTEM IN CEMENT SELECTION AT UD.WENDY JAYA
Authors: Nazryani Della , Fauziah Rizky , Yuma Febby Madonna
Published: April 2024

Abstract: Technology is a tool for processing, storing and modifying data to obtain informatio. Decision Support System (DSS) a based model-based with data processing procedures and considerations to assist manager in decision making. In the context of UD.Wendy Jaya which still uses manual methods for selecting superior cement, this is considered less effective and ineffcient, resulting in cement selection that does not meet the criteria and lacks accuracy. This research employs a quantitative method with the aim of determining decisions for selecting superior cemen and designing a decision support system using the Simple Additive Weighting (SAW) method based on predetermined criteria. The implementation result show that the decision support system for determining superior cement provides convenience and speed in selecting superior cement at UD Wendy Jaya according to the expected criteria. The results of calculations using the simple additive weighting (SAW) method rank each alternative, with the most superior alternative being three-wheel cement, considering several criteria such as price, compressive, strength, fineness, water capacity and setting time.Keywords: simple additive weighting (SAW); decision support system; UD.wendy jayaAbstrak: Teknologi adalah alat untuk mengolah, menyimpan, dan memodifikasi data guna mendapatkan informasi. Sistem Pendukung Keputusan (Decision Support System/DSS) merupakan sistem berbasis model dengan prosedur pemrosesan data dan pertimbangan untuk membantu manajer dalam pengambilan keputusan. Dalam konteks Toko UD. Wendy Jaya, yang masih menggunakan cara manual untuk pemilihan semen unggul, hal ini dianggap kurang efektif dan tidak efisien, mengakibatkan pemilihan semen tidak sesuai kriteria dan tidak akurat. Penelitian ini menggunakan metode kuantitatif, dengan tujuan untuk mengetahui keputusan pemilihan semen unggul dan merancang sistem pendukung keputusan menggunakan metode Simple Additive Weighting (SAW) berdasarkan kriteria yang ditentukan. Hasil implementasi menunjukkan bahwa sistem pendukung keputusan Menentukan Semen Unggul memberikan kemudahan dan kecepatan dalam pemilihan semen unggul pada Toko UD. Wendy Jaya sesuai dengan kriteria yang diharapkan. Hasil dari perhitungan dengan menggunakan metode Simple Additive Weighting (SAW)  adalah perangkingan setiap alternatif yaitu diperoleh alternatif yang paling unggul adalah semen tiga roda ditinjau dari beberapa kriteria harga, kuat tekanan, kehalusan, kapasitas air dan waktu mengeras.Kata kunci: simple additive weighting (SAW); sistem pendukung keputusan; UD.wendy jaya
Consumo lector y bibliotecas privadas en sevilla (1522-1555)
Authors: Pérez García Rafael M.
Published: April 2024

El presente artículo dibuja las líneas generales que caracterizan la presencia del libro en la sociedad sevillana del Re­nacimiento y aporta la edición de setenta inventarios de bibliotecas particulares del periodo comprendido entre 1522 y 1555.
Notícias da Pérsia nas Décadas da Ásia de Diogo do Couto
Authors: Loureiro Rui Manuel
Published: April 2024

Diogo do Couto viveu a maior parte de sua vida em Goa, onde faleceu em 1616. Durante os vinte anos finais da sua vida, preparou para publicação nove volumosas Décadas da Ásia, sobre os principais feitos da presença portuguesa no Oriente. Uma leitura cuidada da produção historiográfica de Diogo do Couto revela que o cronista português produziu, as mais das vezes, um mero trabalho de compilação de textos alheios, aos quais tentou dar um fio condu­tor de natureza cronológica. A análise dos materiais utilizados por Diogo de Couto a respeito da Pérsia revela de forma clara as características, e também as virtualidades, dos métodos de trabalho utilizados pelo cronista, que permitiram salvaguardar um conjunto de notícias que de outra forma se teriam dispersado irremediavelmente.
TRIF-dependent signaling and its role in liver diseases
Authors: Hu Lilin , Cheng Zilu , Chu Huikuan , Wang Weijun , Jin Yu , Yang Ling
Published: April 2024

TIR domain-containing adaptor inducing IFN-β (TRIF) is a crucial adaptor molecule downstream of toll-like receptors 3 (TLR3) and 4 (TLR4). TRIF directly binds to TLR3 through its TIR domain, while it associates with TLR4 indirectly through the bridge adaptor molecule TRIF-related adaptor molecule (TRAM). TRIF plays a pivotal role in regulating interferon beta 1 (IFN-β) response, nuclear factor kappa B (NF-κB) signaling, apoptosis, and necroptosis signaling mediated by TLR3 and TLR4. It accomplishes these by recruiting and activating various kinases or transcription factors via its distinct domains. In this review, we comprehensively summarize the TRIF-dependent signaling pathways mediated by TLR3 and TLR4, elucidating key target molecules and downstream pathways. Furthermore, we provide an overview of TRIF’s impact on several liver disorders, including drug-induced liver injury, ischemia-reperfusion liver injury, autoimmune hepatitis, viral hepatitis, alcohol-associated liver disease (ALD), metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH). We also explore its effects on liver steatosis, inflammation, fibrosis, and carcinogenesis. A comprehensive understanding of the TRIF-dependent signaling pathways, as well as the intricate relationship between TRIF and liver diseases, can facilitate the identification of potential drug targets and the development of novel and effective therapeutics against hepatic disorders.
Unravelling the genesis and depositional setting of Neoproterozoic banded iron formation from central Eastern Desert, Egypt
Authors: Sami Mabrouk , Faisal Mohamed , Leybourne Matthew , Sanislav Ioan V. , Ahmed Mohamed S. , Lasheen El Saeed R.
Published: April 2024

The Neoproterozoic banded iron formations (BIFs) are widely occurred in the Egyptian Eastern Desert. This study integrates field observations, petrographic studies, geochemical data, and lead isotopes to construct the genesis and depositional environment of Wadi El-Mis hama BIF deposits. The iron layers, primarily of oxide facies within a volcano-sedimentary sequence, comprise magnetite-rich beds alternating with jaspilite or silicate laminae. The studied BIFs exhibit a dominant composition of SiO2 and Fe2O3t with relatively low contents of TiO2 and Al2O3. The positive correlation of REEs (La, Sm, Yb) with Zr and low concentrations of HFSEs (Ta, Nb, Th, Hf) indicate a primary formation mechanism of chemical precipitation, maintaining original geochemical signatures. Geochemical patterns show depletion in LREEs, enrichment in HREEs (La/YbPAAS = 0.08–0.12), and positive La anomalies (La/LaPAAS = 1.15–8.57), consistent with seawater influence. Additionally, various geochemical discrimination diagrams supported by elevated super-chondritic Y/Ho values (29.6–38.7), weak positive Eu anomalies, and low contents of transition metals (Cu and Zn), point to the interaction of low-temperature (<200°C) hydrothermal fluids (bearing Fe and Si) with seawater during the deposition of the BIFs. The lack of significant negative Ce anomalies along with low Ni/Co, U/Th, and Cu/Zn ratios, imply that the iron mineralization was precipitated from dysoxic to oxic conditions. The geochemical and Pb isotopic data suggest that the iron deposits formed in an extensional geodynamic setting (intra-oceanic arc basin environment) due to the subduction of the Mozambique Plate, with signatures closely matching other Precambrian Algoma-type BIFs.
Mechanisms of mitochondrial dysfunction in ovarian aging and potential interventions
Authors: Ju Wenhan , Zhao Yuewen , Yu Yi , Zhao Shuai , Xiang Shan , Lian Fang
Published: April 2024

Mitochondria plays an essential role in regulating cellular metabolic homeostasis, proliferation/differentiation, and cell death. Mitochondrial dysfunction is implicated in many age-related pathologies. Evidence supports that the dysfunction of mitochondria and the decline of mitochondrial DNA copy number negatively affect ovarian aging. However, the mechanism of ovarian aging is still unclear. Treatment methods, including antioxidant applications, mitochondrial transplantation, emerging biomaterials, and advanced technologies, are being used to improve mitochondrial function and restore oocyte quality. This article reviews key evidence and research updates on mitochondrial damage in the pathogenesis of ovarian aging, emphasizing that mitochondrial damage may accelerate and lead to cellular senescence and ovarian aging, as well as exploring potential methods for using mitochondrial mechanisms to slow down aging and improve oocyte quality.
Epidemiological patterns of chronic kidney disease attributed to type 2 diabetes from 1990-2019
Authors: Ding Xiaoxiao , Li Xiang , Ye Yun , Jiang Jing , Lu Mengsang , Shao Lv
Published: April 2024

Background

This study investigates the burden of chronic kidney disease attributed to type 2 diabetes (CKD-T2D) across different geographical locations and time periods from 1990 to 2019. A total of 204 countries and regions are included in the analysis, with consideration given to their socio-demographic indexes (SDI). The aim is to examine both spatial and temporal variations in CKD-T2D burden.

Methods

This research utilized data from the 2019 Global Burden of Diseases Study to evaluate the age-standardized incidence rates (ASIR), Disability-Adjusted Life Years (DALYs), and Estimated Annual Percentage Change (EAPC) associated with CKD-T2D.

Results

Since 1990, there has been a noticeable increase of CKD age-standardized rates due to T2D, with an EAPCs of 0.65 (95% confidence interval [CI]: 0.63 to 0.66) for ASIR and an EAPC of 0.92 (95% CI: 0.8 to 1.05) for age-standardized DALYs rate. Among these regions, Andean Latin America showed a significant increase in CKD-T2D incidence [EAPC: 2.23 (95% CI: 2.11 to 2.34) and North America showed a significant increase in CKD-T2D DALYs [EAPC: 2.73 (95% CI: 2.39 to 3.07)]. The burden was higher in male and increased across all age groups, peaking at 60-79 years. Furthermore, there was a clear correlation between SDI and age-standardized rates, with regions categorized as middle SDI and High SDI experiencing a significant rise in burden.

Conclusion

The global burden of CKD-T2D has significantly risen since 1990, especially among males aged 60-79 years and in regions with middle SDI. It is imperative to implement strategic interventions to effectively address this escalating health challenge.
A 26-year-old man with multiple organ failure caused by Aeromonas dhakensis infection: a case report and literature review
Authors: Luo Dan , Dai Liwan
Published: April 2024

Background

Infections in humans are mainly caused by Aeromonas hydrophila, Aeromonas caviae, and Aeromonas veronii. In recent years, Aeromonas dhakensis has been recognized as widely distributed in the environment, with strong virulence. However, this bacterial infection usually does not appear in patients with pneumonia as the first symptom.

Case report

We report a 26-year-old man who was admitted to the hospital with community-acquired pneumonia as the first symptom and developed serious conditions such as hemolytic uremic syndrome, multiple organ dysfunction, and hemorrhagic shock within a short period. He died after 13 h of admission, and the subsequent metagenomic-next generation sequencing test confirmed the finally identified pathogen of infection as A. dhakensis.

Conclusion

Aeromonas is a rare pathogen identified in the diagnosis of community-acquired pneumonia. Hence, doctors need to develop their experience in identifying the difference between infections caused by pathogenic microorganisms. Medical attention is essential during the occurrence of respiratory symptoms that could be controlled by empirical drugs, such as cephalosporins or quinolones. When patients with community-acquired pneumonia present hemoptysis and multiple organ dysfunction in clinical treatment, an unusual pathogen infection should be considered, and the underlying etiology should be clarified at the earliest for timely treatment.
Effectiveness of low-intensity pulsed ultrasound on osteoarthritis: molecular mechanism and tissue engineering
Authors: Zhou Jing , Ning Eryu , Lu Lingfeng , Zhang Huili , Yang Xing , Hao Yuefeng
Published: April 2024

Osteoarthritis (OA) is distinguished by pathological alterations in the synovial membrane, articular cartilage, and subchondral bone, resulting in physical symptoms such as pain, deformity, and impaired mobility. Numerous research studies have validated the effectiveness of low-intensity pulsed ultrasound (LIPUS) in OA treatment. The periodic mechanical waves generated by LIPUS can mitigate cellular ischemia and hypoxia, induce vibration and collision, produce notable thermal and non-thermal effects, alter cellular metabolism, expedite tissue repair, improve nutrient delivery, and accelerate the healing process of damaged tissues. The efficacy and specific mechanism of LIPUS is currently under investigation. This review provides an overview of LIPUS’s potential role in the treatment of OA, considering various perspectives such as the synovial membrane, cartilage, subchondral bone, and tissue engineering. It aims to facilitate interdisciplinary scientific research and further exploration of LIPUS as a complementary technique to existing methods or surgery. Ongoing research is focused on determining the optimal dosage, frequency, timing, and treatment strategy of LIPUS for OA. Additional research is required to clarify the precise mechanism of action and potential impacts on cellular, animal, and human systems prior to its integration into therapeutic applications.
Magnitude and associated factors of intraoperative cardiac complications among geriatric patients who undergo non-cardiac surgery at public hospitals in the southern region of Ethiopia: a multi-center cross-sectional study in 2022/2023
Authors: Abdulmelik Amina , Tila Mebratu , Tekilu Takele , Debalkie Ashebir , Habtu Elias , Sintayehu Ashagrie , Dendir Getahun , Gordie Naol , Daniel Abel , Suleiman Obsa Mohammed
Published: April 2024

Background

Intraoperative cardiac complications are a common cause of morbidity and mortality in non-cardiac surgery. The risk of these complications increased with the average age increasing from 65. In a resource-limited setting, including our study area, the magnitude and associated factors of intraoperative cardiac complications have not been adequately investigated. The aim of this study was to assess the magnitude and associated factors of intraoperative cardiac complications among geriatric patients undergoing non-cardiac surgery.

Methods

An institutional-based multi-center cross-sectional study was conducted on 304 geriatric patients at governmental hospitals in the southern region of Ethiopia, from 20 March 2022 to 25 August 2022. Data were collected by chart review and patient interviews. Epi Data version 4.6 and SPSS version 25 were used for analysis. The variables that had association (p < 0.25) were considered for multivariable logistic regression. A p value < 0.05 was considered significant for association.

Result

The overall prevalence of intraoperative cardiac complications was 24.3%. Preoperative ST-segment elevation adjusted odds ratio (AOR = 2.43, CI =2.06–3.67), history of hypertension (AOR = 3.42, CI =2.02–6.08), intraoperative hypoxia (AOR = 3.5, CI = 2.07–6.23), intraoperative hypotension (AOR = 6.2 9, CI =3.51–10.94), age > 85 years (AOR = 6.01, CI = 5.12–12.21), and anesthesia time > 3 h (AOR =2.27, CI = 2.0.2–18.25) were factors significantly associated with intraoperative cardiac complications.

Conclusion

The magnitude of intraoperative cardiac complications was high among geriatric patients who had undergone non-cardiac surgery. The independent risk factors of intraoperative cardiac complications for this population included age > 85, ST-segment elevation, perioperative hypertension (stage 3 with regular treatment), duration of anesthesia >3 h, intraoperative hypoxia, and intraoperative hypotension. Holistic preoperative evaluation, optimization optimal and perioperative care for preventing perioperative risk factors listed above, and knowing all possible risk factors are suggested to reduce the occurrence of complications.
Mechanistic insights into the early life stage microbiota of silver pompano (Trachinotus blochii)
Authors: Sumithra T. G. , Sharma S. R. Krupesha , Suresh Gayathri , Gop Ambarish P. , Surya S. , Gomathi P. , Anil M. K. , Sajina K. A. , Reshma K. J. , Ebeneezar Sanal , Narasimapallavan Iyyapparaja , Gopalakrishnan A.
Published: April 2024

Introduction

Deep investigations of host-associated microbiota can illuminate microbe-based solutions to improve production in an unprecedented manner. The poor larval survival represents the critical bottleneck in sustainable marine aquaculture practices. However, little is known about the microbiota profiles and their governing eco-evolutionary processes of the early life stages of marine teleost, impeding the development of suitable beneficial microbial management strategies. The study provides first-hand mechanistic insights into microbiota and its governing eco-evolutionary processes in early life stages of a tropical marine teleost model, Trachinotus blochii.

Methods

The microbiota profiles and their dynamics from the first day of hatching till the end of metamorphosis and that of fingerling’s gut during the routine hatchery production were studied using 16S rRNA amplicon-based high-throughput sequencing. Further, the relative contributions of various external factors (rearing water, live feed, microalgae, and formulated feed) to the microbiota profiles at different ontogenies was also analyzed.

Results

A less diverse but abundant core microbial community (~58% and 54% in the whole microbiota and gut microbiota, respectively) was observed throughout the early life stages, supporting ‘core microbiota’ hypothesis. Surprisingly, there were two well-differentiated clusters in the whole microbiota profiles, ≤10 DPH (days post-hatching) and > 10 DPH samples. The levels of microbial taxonomic signatures of stress indicated increased stress in the early stages, a possible explanation for increased mortality during early life stages. Further, the results suggested an adaptive mechanism for establishing beneficial strains along the ontogenetic progression. Moreover, the highly transient microbiota in the early life stages became stable along the ontogenetic progression, hypothesizing that the earlier life stages will be the best window to influence the microbiota. The egg microbiota also crucially affected the microbial community. Noteworthily, both water and the feed microbiota significantly contributed to the early microbiota, with the feed microbiota having a more significant contribution to fish microbiota. The results illustrated that rotifer enrichment would be the optimal medium for the early larval microbiota manipulations.

Conclusion

The present study highlighted the crucial foundations for the microbial ecology of T. blochii during early life stages with implications to develop suitable beneficial microbial management strategies for sustainable mariculture production.
Association between the blood urea nitrogen-to-creatinine ratio and 3-month outcomes in patients with acute ischemic stroke: a secondary analysis based on a prospective cohort study
Authors: Liu Hongjuan , Chen Yongjun , Zhou Quan , Guo Guixiang , Hu Bohong , Wan Fangchao , Wen Jun
Published: April 2024

Introduction

This study aimed to assess the correlation between the blood urea nitrogen (BUN)-to-creatinine (BUN/Cr) ratio and adverse outcomes (AOs) at 3 months in patients with acute ischemic stroke (AIS) in the Korean population.

Methods

This cohort study encompassed 1906 cases of AIS at a South Korean hospital from January 2010 to December 2016. To determine the linear correlation between the BUN/Cr ratio and AOs in AIS, a binary logistic regression model (BLRM) was employed. Additionally, generalized additive models and techniques for smooth curve fitting were utilized to reveal the nonlinear dynamics between the BUN/Cr ratio and AOs in patients with AIS.

Results

The prevalence of AOs was 28.65%, with a median BUN/Cr ratio of 18.96. Following adjustments for covariates, the BLRM disclosed that the association between the BUN/Cr ratio and the risk of AOs in patients with AIS did not attain statistical significance. Nevertheless, a nonlinear relationship surfaced, pinpointing an inflection point at 21.591. To the left of this inflection point, a 31.42% reduction in the risk of AOs was noted for every 1-unit surge in the Z score of the BUN/Cr ratio [odds ratio (OR) = 0.686, 95% confidence interval (CI): 0.519, 0.906, p = 0.008]. On the right side of the inflection point, the effect size (OR = 1.405, 95% CI: 1.018, 1.902, p = 0.039) was determined.

Conclusion

The findings of this study underscore the intricate nature of the relationship between the BUN/Cr ratio and 3-month outcomes in patients with AIS, establishing a robust groundwork for future investigations.
Melanopsin DNA aptamers can regulate input signals of mammalian circadian rhythms by altering the phase of the molecular clock
Authors: Nakazawa Kazuo , Matsuo Minako , Kikuchi Yo , Nakajima Yoshihiro , Numano Rika
Published: April 2024

DNA aptamers can bind specifically to biomolecules to modify their function, potentially making them ideal oligonucleotide therapeutics. Herein, we screened for DNA aptamer of melanopsin (OPN4), a blue-light photopigment in the retina, which plays a key role using light signals to reset the phase of circadian rhythms in the central clock. Firstly, 15 DNA aptamers of melanopsin (Melapts) were identified following eight rounds of Cell-SELEX using cells expressing melanopsin on the cell membrane. Subsequent functional analysis of each Melapt was performed in a fibroblast cell line stably expressing both Period2:ELuc and melanopsin by determining the degree to which they reset the phase of mammalian circadian rhythms in response to blue-light stimulation. Period2 rhythmic expression over a 24-h period was monitored in Period2:ELuc stable cell line fibroblasts expressing melanopsin. At subjective dawn, four Melapts were observed to advance phase by >1.5 h, while seven Melapts delayed phase by >2 h. Some Melapts caused a phase shift of approximately 2 h, even in the absence of photostimulation, presumably because Melapts can only partially affect input signaling for phase shift. Additionally, some Melaps were able to induce phase shifts in Per1::luc transgenic (Tg) mice, suggesting that these DNA aptamers may have the capacity to affect melanopsin in vivo. In summary, Melapts can successfully regulate the input signal and shifting phase (both phase advance and phase delay) of mammalian circadian rhythms in vitro and in vivo.