bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Mutu Fisik dan Kimia serta Uji Aktivitas Antioksidan Teh Cascara dari Kulit Kopi Arabika (Coffea arabica L.) Asal Papua
Authors: Mangiwa Septiani , Abulais Diana M. , Patiung Oktafani , Nisa Qonita A. 
Published: July 2023

Several important chemical components are still present in coffee skin, although they have not yet been put to much use. This study aims to determine the physical and chemical quality as well as the antioxidant activities of cascara tea, which is produced from the skin of Papuan arabica coffee. Coffee skins are gathered by The Highland Roastery CafÃ© from several Papuan coffee producers. Cascara is used to make tea, which is packaged in tea bags after being sun-dried. The analysis of physical and chemical quality is in accordance with SNI 3753: 2014. Physical and chemical quality parameters for tea include the condition of the steeping water, moisture content, ash content, crude fiber, phytochemicals, polyphenols, and caffeine levels. It is possible to measure antioxidant activity using the DPPH technique. The physical and chemical characteristics of cascara tea manufactured from Papuan arabica coffee skins are as follows: typical brewing water conditions, moisture content, total ash content, and crude fiber are all 13.00 Â± 0.11%, 10.96 Â± 0.12%, and 40.55 Â± 0.14%, respectively. Phytochemical screening showed that cascara tea contains alkaloids, terpenoids, saponins, and polyphenols, with a total polyphenol content of 1.33 Â± 0.05% and caffeine of 0.44 Â± 0.05%. Cascara Papua tea exhibits strong levels of antioxidant activity with an IC50 of 13.96 ppm. Therefore, it can be concluded that cascara tea, which is made from arabica coffee skins from Papua and sun-dried, has a physical and chemical quality that complies with the standards. and can be used as an antioxidant beverage to increase endurance.Â Key words: cascara; coffee skin; arabica coffee; physical and chemical quality; antioxidant.
Keragaman Fenetik Pisang Lokal yang Dimanfaatkan oleh Masyarakat Sentani Kabupaten Jayapura, Papua
Authors: Zebua Lisye I. , Purnamasari Vita , Ondikeleuw Mariana , Lobo Geofani A. 
Published: July 2023

Banana plants are a food source that has good prospects. This is because bananas are very popular with all groups, and are easy to grow in tropical areas. There are many varieties of wild and cultivated bananas that grow in Indonesia, one of which grows around Lake Sentani, causing differences in morphological characters between types and between varieties of bananas. The purpose of this study was to determine the phenetic diversity of local Sentani bananas based on morphological characters. The research was conducted in June-October 2022 in five villages around Lake Sentani, namely Ayapo, Yahim, Kampung Harapan, Doyo and Netar using the exploration method and interviewing key informants. For morphological identification using banana descriptor guidelines from the International Plant Genetic Resources Institute (IPGRI). Morphological character data were analyzed in a quantitative descriptive manner using the NTSYs 2.01 application program. The results showed that there were 15 local banana cultivars based on the knowledge of the Sentani people. Based on the phenogram, the local Sentani bananas are grouped into two groups based on the character of the shape, size, color, taste, and color of the organs of the leaves, stems, flowers and fruit. The local banana cultivars have wide phenetic diversity with similarity coefficient values ranging from 20-73%. The closest similarity value is found in Hoyombi and Wabulu cultivars with a similarity value of 73%. The furthest similarity value was found in the Rawo and Anakhola cultivars in group A, and the Olukhu and Honggambu cultivars in group B with a value of 53%.Â Â Key words: diversity; characters; morphology; bananas; Sentani.Â
Dampak Konversi Hutan Menjadi Perkebunan Kelapa Sawit Terhadap Keanekaragaman dan Kelimpahan Kupu-kupu Superfamili Papilionoidea
Authors: Daawia Daawia , Dianingsih Nurlita 
Published: July 2023

The research was conducted in June to August 2022 in Ubiyau Village, Yanamaa Village and Yuwanain Village, Arso District, Keerom, Papua. The aim of the study was to determine the impact of forest conversion to oil palm plantations on the diversity and abundance of the Superfamily Papilionoidea butterfly. The line transect count method was used for sampling butterflies with a transect length of 1500 m at each study area. Sampling was carried out along a line transect in an imaginary box measuring 10 x 10 x 10 m which was carried out on sunny days from 09.00 am to 14.00 pm. The highest species diversity of the Superfamily Papilionoidea was found in Secondary Forest (HS), namely 70 species consisting of Papilionidae (8 species), Pieridae (5 species), Lycaenidae (21 species) and Nymphalidae (36 species). There were 42 species of butterflies recorded from Non-Productive Oil palm Plantations consisting of Papilionidae (5 species), Pieridae (4 species), Lycaenidae (11 species) and Nymphalidae (22 species). While the lowest number of butterfly species was encountered in Productive Oil Palm Plantations namely 32 species consisting of Papilionidae (5 species), Pieridae (3 species), Lycaenidae (8 species) and Nymphalidae (16 species). These data indicated that conversion of secondary forest to oil palm plantations reduced butterfly species by around 40-53%. The highest Shannon-Wiener Diversity Index (H') and Margalef Diversity Index (Dmg) values were found in secondary forest (H'=3.4; Dmg =13.7) followed by Non-Productive Oil Palm Plantations (H'=2.5; Dmg=7.2) and Productive Oil Palm Plantations (H=2.0; Dmg=6.1). The highest species similarity was between Secondary Forest and Productive Oil Palm Plantations with Sorensen Index value IS=60%, followed by Non-Productive Oil Palm Plantations and Productive Oil Palm Plantations (IS=51%) and the lowest species similarity index was between Secondary Forests and Non-Productive Oil Palm Plantations (IS = 46%). In Secondary Forest the composition of the number of individuals per species tends to be more evenly distributed compared to oil palm plantations. Forest conversion to Oil Palm Plantations has a negative impact on butterfly species diversity of the Superfamily Papilionoidea. The lost species that were not found in oil palm plantations were forest specialist species with small range sizes and niches as well as specific diets that were only found in forest.Â Key words: Papilionidae; primary forest; Pieridae; Nymphalidae; Lycaenidae; Keerom.
An Optimized Solution to Multi-Constraint Vehicle Routing Problem
Authors: Nawaz Asif , Rashid Rana Muhammad Rizwan , Mustafa Ghulam 
Published: July 2023

A Vehicle Routing Problem (VRP) is a Non-Polynomial Hard Category (NP-hard) problem in which the best set of routes for a convoy of vehicles is traversed to deliver goods or services to a known set of customers. In VRP, some constraints are added to improve performance. Some variations of VRP are Capacitated Vehicle Routing Problem (CVRP), Vehicle Routing Problem with Stochastic Demands (VRPSD), Vehicle Routing Problem with Time Window (VRPTW), Dynamic Vehicle Routing Problem (DVRP), and Vehicle Routing Problem with Simultaneous Pickup and Delivery (VRPSPD) where vehicle and routes have multiple constraints. Swarm intelligence is a well-used approach to solve VRPs. Moreover, different hybrid combinations of global and local optimization techniques are also used to optimize the said problem. In this research, an attempt is made to solve CVRP with VRPSD by using two different hybridized population-based approaches, that is, the Cuckoo Search Algorithm (CSA) and Particle Swarm Optimization (PSO). The experiments showed the accuracy of the improved CVRP that is superior to one obtained by using other classical versions and better than the results achieved by comparable algorithms. Besides, this improved algorithm can also improve search efficiency.
Comparative Analysis of Breast Cancer Detection using Cutting-edge Machine Learning Algorithms (MLAs)
Authors: Rana Tanzeel Sultan , Saleem Imran , Rao Rabia Naseer , Shabbir Maryam , Chaudhry Laiba Wahid 
Published: July 2023

Recently, machine learning techniques have gained popularity for the medical diagnosis. Medical professionals use this approach to learn and detect the abnormalities of life-threatening chronic diseases. The increasing use of ML approaches may be due in part to better disease diagnosis enabled through improved symptom detection. The current study deployed different machine learning algorithms, including Decision Trees (DT), K-Nearest Neighbors (KNN), classifiers Multilayer Perceptron (MP), Support Vector Machines (SVM), and Random Forest (RF) for early predictions and symptoms of the disease. These models were capable of differentiating between benign and harmful cancer cells Benign tumours, which were non-cancerous and in most cases, non-lethal were mostly confined to the area from where they originated, however, it was observed that malignant cancer can start with abnormal cell growth in the human body. This abnormal cell growth can quickly spread to nearby tissues, which can cause infiltration of adjacent cells, resulting in a potentially fatal condition. Thereby, it was observed that Multilayer Perceptron (MLP) model provided the highest accuracy percentage of 86% when compared with all the other techniques in association with the accuracy rate of the models
Peramalan Jumlah Wisatawan Mancanegara di Provinsi Kalimantan Timur Menggunakan Fuzzy Backpropagation Neural Network
Authors: Aprilianti Rina , Purnamasari Ika , Prangga Surya 
Published: July 2023

Latar Belakang: Pariwisata merupakan salah satu bidang ekonomi yang menjadi sumber penerimaan devisa bagi negara. Banyaknya wisatawan merupakan salah satu faktor yang dapat berpengaruh terhadap perkembangan pariwisata. Sepanjang tahun 2021, jumlah wisatawan mancanegara di Provinsi Kalimantan Timur mengalami penurunan. Penurunan tersebut merupakan dampak dari mewabahnya COVID-19. Peneliti melakukan peramalan jumlah wisatawan mancanegara di Kalimantan Timur menggunakan Fuzzy Backpropagation Neural Network (FBPNN) guna mengantisipasi kenaikan maupun penurunan jumlah wisatawan di masa mendatang. FBPNN adalah metode peramalan Neural Network (NN) yang menggunakan algoritma pembelajaran backpropagation dimana nilai input dan output-nya berupa derajat keanggotaan himpunan fuzzy.
Tujuan: Meramalkan jumlah wisatawan mancanegara di Kalimantan Timur pada bulan Januari 2022 sampai dengan Mei 2022.
Metode: Metode yang digunakan adalah Fuzzy Backpropagation Neural Network (FBPNN).
Hasil: Berdasarkan hasil prediksi FBPNN dengan proporsi 80%:20% untuk data training diperoleh Root Mean Square Error (RMSE) sebesar 113,61 sedangkan untuk RMSE data testing dipeoleh adalah sebesar 108,45.
Kesimpulan: Adapun kesimpulan penelitian yaitu metode Fuzzy Backpropagation Neural Network dapat digunakan untuk meramalkan jumlah wisatawan dengan nilai RMSE yang dihasilkan oleh data testing lebih kecil jika dibandingkan dengan nilai RMSE yang dihasilkan oleh data training.
Application of Double Seasonal Autoregressive Integrated Moving Average (DSARIMA) for Stock Forecasting
Authors: Silfiani Mega , Hayati Farida Nur , Azka Muhammad 
Published: July 2023

Background: Stock price forecasting assists investors to anticipate risks and opportunities in making prudent investments and maximizing returns.
Objective: This study aims to identify the most accurate model for stock forecasting.
Methods: This paper utilized the daily closing stock price of Unilever Indonesia, Tbk (UNVR) from January 1, 2018 to July 31, 202. Double Seasonal Autoregressive Integrated Moving Average (DSARIMA), was utilized in this study. Mean Absolute Scaled Error (MASE) and Median Absolute Percentage Error (MdAPE) are used to compare forecasting accuracy.
Results: Following conducting each model, we assessed that the best models are DSARIMAX (0,1,[4]) ([3],1,1)5(1,1,0)253, regarding MASE and MdAPE corresponding to approximately 1.423 and 0.111. The scope of this study has limitations to a test set for one-month forecast periods.
Conclusion: As stock prices rise, investors require precise forecasts. Models of forecasting must perform well. This analysis shows how the DSARIMA generate forecasts stock prices more accurately. This investigation evaluated the closing stock price of UNVR. Both MASE and MdAPE assess prediction. After analyzing each model, DSARIMAX (0,1,[4])([3],1,1)5(1,1,0)253 has the lowest MASE and MdAPE values, 1.423 and 0.111, respectively. The procedure lasted one month. Research may combine forecasts and improve their accuracy.
Son Dönem Mevlevî Müntesiplerinden Mehmed Eşref ve Manzumelerinde Mevlânâ ve Mevlevîlik
Authors: ÜNAL Mehmet 
Published: July 2023

Mevlâna ve onun fikir yapısı üzerine inşa edilen Mevlevilik, Türk tasavvuf ve kültür hayatında derin etkiler bırakmıştır. Yüzyıllarca kültür ve sanat çevrelerinde oldukça geniş bir çevre meydana getiren Mevleviler, üstatları Mevlâna’nın büyük bir şair oluşu sebebiyle şiire dolayısıyla şairliğe ayrı bir önem vermişlerdir. Bu durum edebiyatımızda bilhassa klasik şairlerin rağbet ettikleri tarikatların başına Mevleviliği yerleştirmiştir. Mevlevi şairlerin sayısı 16. yüzyıldan itibaren kayda değer bir artış göstermiştir. Bundan dolayı klasik edebiyatımızda en çok tarikata üye olan şair sayısı da Mevlevî tarikatı olmuştur. 20. yüzyılın başlarında Klasik edebiyatın son numunelerini ortaya koyan Mehmed Eşref de bu dergâha bağlanmıştır.
Okunmamış, ulaşılamamış her kitap, her bilgi, keşfedilmemiş bir kıta gibidir. Sahip olduğumuz değerleri daha iyi anlayabilmek, anlamlandırabilmek için bu değerlerin arkasında yatan dinamikleri bulmamız gerekmektedir. Klasik şiirin varlığını ortaya koymak da bu şiir çerçevesi içinde yetişen şairlerin eserlerini gün yüzüne çıkarmakla sağlanacaktır.
Bu çalışmada, bugüne dek yapılan Mevlevi edebiyatı araştırmalarında adı fazla anılmayan, hayatı hakkında yeni bilgilerin ışığında tekrar gözden geçirilmesi elzem olmuştur. Gençlik yıllarından sonra kendini Mevlevîliğe adayan ve Galata Mevlevihane’sinde çilesini tamamlayan bir Mevlevi’nin hayatı, eserleri, Mevlânâ ve Mevlevîlikle ilgili görüşleri ortaya konularak Mevlevî edebiyatının hangi mazmunları üzerinde durduğu gibi konuları örneklerle açıklanmaya çalışılacaktır.
Conocimiento técnico pedagógico del contenido (TPACK) en Iberoamérica: Una revisión bibliográfica
Authors: Paidicán Soto Miguel , Arredondo Herrera Pamela Alejandra 
Published: July 2023

Este artículo presenta los resultados de una revisión de literatura cuyo objetivo fue examinar la producción científica relacionada con el modelo TPACK en el contexto iberoamericano. Los 22 artículos se seleccionaron de las bases de datos Scopus, WoS, ERIC, SciELO, Dialnet y Redalyc. La búsqueda consideró el período desde el inicio del modelo, en 2006, hasta noviembre de 2022. Se tomaron en cuenta únicamente artículos con acceso abierto a su texto completo, relativos a las ciencias sociales y referentes a una investigación desarrollada en países de Iberoamérica. Se concluyó que existe solo un 3,73 % de publicaciones del modelo TPACK en contextos iberoamericanos, publicados entre 2014 y 2022. Además, el 81,81 % de las investigaciones se centró en los docentes, y los estudios con características de autoinforme de conocimiento fueron los más representativos, con un 55,55 %. Se recomienda desarrollar investigaciones que aborden el modelo TPACK en distintos contextos, así como programas multidisciplinarios que incluyan a todos los integrantes de la escuela.
Mielitis aguda como manifestación de infección por sars-cov-2
Authors: Pájaro Nehomar , Hernández-Beltrán Natalia , Flórez Mónica , Rico-Fontalvo Jorge , Daza-Arnedo Rodrigo , Leal-Martínez Víctor , Sánchez-Álvarez Christian , Bello-Espinosa Ariel , Raad-Sarabia Maria 
Published: July 2023

Introducción: la infección generada por el nuevo coronavirus SARS-CoV-2 ha mostrado un aumento creciente en los últimos meses, presentando manifestaciones clínicas variadas desde síntomas leves hasta afectación pulmonar grave. Además, se han descrito formas clínicas atípicas, en las que predominan los síntomas extrapulmonares; entre ellas, se han notificado casos de manifestaciones neurológicas concurrentes. A partir de la identificación de coronavirus en el sistema nervioso central en el brote de SARS-CoV de 2020, se ha planteado un posible neurotropismo del SARS-CoV-2. En la literatura mundial se han descrito pocos pacientes con encefalitis aguda, eventos cerebrovasculares isquémicos y afectación de la médula espinal asociados al SARS-CoV-2.
Caso clínico: varón de 57 años, con antecedentes de hipertensión controlada, acude al servicio de urgencias con ocho días de tos no productiva, asociada a un aumento subjetivo de la temperatura corporal. La exploración física al ingreso reveló taquipnea, fiebre de 38 °C, tensión arterial y frecuencia cardiaca normales; se realiza una radiografía de tórax que muestra neumonía grave, posteriormente evolucionó a insuficiencia ventilatoria que requirió manejo en unidad de cuidados intensivos para soporte con ventilación mecánica no invasiva. Infección por SARS-CoV confirmada con RT-PCR.
Conclusión: en este reporte presentamos un paciente con mielitis transversal concurrente a COVID-19, revisamos la literatura y discutimos los hallazgos clínicos e imagen dados por la enfermedad.
Síndrome de West: reporte de caso y aspectos moleculares del tratamiento
Authors: Muñoz Nelson , Patiño Oscar , Aponte Alvaro , Barrera Mileidi , Reyes Melissa , Moneriz Carlos 
Published: July 2023

Introducción: el síndrome de West es una encefalopatía epiléptica grave que se presenta generalmente en el primer año de vida. Este síndrome se caracteriza por la tríada electroclínica de espasmos en salvas, patrón electroencefalográfico de hipsarritmia y retraso psicomotor, aunque este último no es indispensable para su diagnóstico. Se conoce poco sobre su fisiopatología y manifestación clínica, por lo que sería pertinente difundirlos a la comunidad para atender estos casos de manera oportuna.
Caso clínico: se presenta el caso de un lactante de 7 meses de edad, producto de embarazo gemelar monocorial biamniótico y antecedentes de síndrome de transfusión feto fetal. El paciente consulta por manifestaciones clínicas consistentes en movimientos espasmódicos de miembros superiores, salvas conformadas en promedio de 10 espasmos de aproximadamente 2 segundos de duración, la madre refiere que el niño convulsiona desde los 4 meses. Luego de ser valorado por el servicio de neurología pediátrica y de acuerdo a los resultados de imagenología se concluye que el paciente presenta tríada sintomática clásica del síndrome de West. El niño es tratado con ácido valproico y vigabatrina, presentando una mejoría clínica que se evidenció en disminución del número de crisis de manera significativa.
Conclusión: el síndrome de West debe ser objeto de conocimiento por parte de los médicos para realizar un diagnóstico temprano y definir el tratamiento adecuado y oportuno.
Quiste renal gigante: un reporte de caso
Authors: Sanchez Martinez Diego Andres , Castro-Mendoza William , Vanegas-Ortiz Oscar , Poveda-Ortiz Oscar , Camelo-Piloneta Yaneth , Campos-Verbel Angelica 
Published: July 2023

Introducción: los quistes renales representan un hallazgo frecuente en imagenología diagnóstica. Entre los diferentes tipos de quistes se encuentra el quiste renal simple; generalmente asintomático y con tamaños menores de 10 cms, pero cuando sobrepasa estos límites ocasiona la aparición de síntomas y se conoce como quiste renal gigante.
Caso clínico: paciente joven que ingresa por dolor abdominal crónico refractario a manejo con analgésicos. A la inspección abdominal se encuentra distensión y palpación de una masa de consistencia blanda, de superficie regular, instalada en hemiabdomen derecho y flanco izquierdo. En la TAC abdominal contrastada se encuentra una masa heterogénea dependiente de riñón derecho sin compromiso de órganos adyacentes. Se realiza biopsia incisional, la cual resulta negativa para la malignidad. Se realiza laparotomía exploratoria y se identifica un quiste renal de gran tamaño ubicado en el polo inferior del riñón derecho en estrecha relación con estructuras cercanas y desplazando el intestino hacia el hemiabdomen izquierdo. Se realiza la resección de la lesión preservando el 70% del riñón.

Conclusión: es poco frecuente que un quiste renal crezca hasta rebasar la línea media abdominal y genere compactación de órganos contiguos, la poca información de este tipo de casos en la literatura médica se debe a su baja incidencia y la limitación de métodos para evaluar este órgano en el examen físico, entre otros factores.
BLOCKCHAIN-BASED ZERO KNOWLEDGE PROOF MODEL FOR SECURE DATA SHARING SCHEME IN A DISTRIBUTED VEHICULAR NETWORKS
Authors: Majigi Muhammad Umar Majigi , Idris Ismaila , Abdulhamid Shafii M. , Uduimoh Andrew Anogie 
Published: July 2023

The possibility of implementing advanced applications, such as improved driving safety, has increased with the rapid development of vehicular telematics, and existing vehicular services have been enriched through data sharing and analysis between vehicles. This research uses smart contracts and consortium blockchain zero knowledge proof to secure data sharing and storage in vehicular networks. The results indicate that, for message sizes (m), both data_ experiments _2 and 1 produce ciphertext of the same size 157 bits, with the exception of 'gnfuv-temp-exp1-55d487b85b-5g2xh,' which generates ciphertext of 156 bits with the lowest decryption time of 26,865ms and a small decrease in encryption time between 28,620ms and 28,162ms. the proposed model validation shows that the model performed better than the Advanced encryption standard in terms of ciphertext size, encryption time and decryption time in comparison and it satisfies the good and robust blockchain-based zero knowledge proof model for secure data sharing and storage for distributed VANET. The scheme achieves high levels of security while operating with reasonable efficiency, reliability and availability according to numerical results.
EXPLORING THE USE OF GNSS DATA IN THE IDENTIFICATION OF ACTIVITY AREAS FOR CENSUS ENUMERATION EXERCISE
Authors: Guma E. P. , Babatunde Ibrahim , Bello A. E. , Haruna Akoji Augustine , Reuben Aremu , Onuvava Yakubu Mathew , Samuel Abraham Sunday 
Published: July 2023

The Global Navigational satellite System (GNSS) is a satellite based positioning tool that uses signals from artificial satellites in the space to determine time, velocity and positions. The GNSS receiver has countless uses and these may include navigation, surveying and Mapping in general. The aim of this study is to determine, using the GNSS, areas with dense population and more so, areas of much activities for census planning exercise. The Hi-Target V30 GNSS receiver and its accessories were used for the study. The Hi-Target V30 Standalone Receiver’s Data were collected for 12 months interval observation. Observations were carried out for 1 hour each on ten (10) different stations and the GNSS raw data were downloaded and converted into RINEX data. A Post-Processing platform was used to process the result in ITRF 14 and WGS 84 datum. The differencing of results showed shifts in the directions to much denser populations areas. These shifts, after interpretations could assist enumerators in further decision making. It is obvious that, the GNSS potentials are limitless as the aim of the research was achieved.