bluuebunny/crossref_metadata_2025 huggingface dataset:
Intelligent Traffic Management System.
Authors:   School of Computer Science and Information Technology, REVA University, Bengaluru, India., V Kishen , Murthy M S Sathvik ,   School of Computer Science and Information Technology, REVA University, Bengaluru, India., Kumar Mithilesh ,   School of Computer Science and Information Technology, REVA University, Bengaluru, India., Koul Nimrita ,   School of Computer Science and Information Technology, REVA University, Bengaluru, India.
Published: July 2023

The importance of traffic signals is increasing owing to the drastic increase in population. Ensuring road safety is of high priority. In this project, we introduce an Intelligent Traffic Management System (ITMS) capable of managing traffic of varying densities, without the need of a traffic warden to physically monitor a particular intersection. This system is designed to retrieve the live traffic feed from a junction and process the same using the TensorFlow Object Detection API over OpenCV to detect the severity of the traffic based on the number of vehicles detected. Upon determining the number of vehicles, the corresponding signal, based on the traffic intensity is given. (More vehicles detected – Green light for longer duration and vice versa. ) Thus, this system dynamically adapts to the prevailing traffic conditions and grants the corrosponding traffic light sequence for the required duration to maximize the flow of vehicular traffic. The system is designed to ensure smooth traffic flow by decreasing the wait period of vehicles at intersections and automates the process of controlling traffic signal.
Inference of Gene Regulatory Networks for Prostate Cancer using Bayesian Networks with Feedback and Feed Forward Loops
Authors:   School of Computing & Information Technology, REVA University, Bangalore, India., Koul Nimrita , Manvi Dr. Sunilkumar S ,   Professor, School of Computing & Information Technology, REVA University, Bangalore, India.
Published: July 2023

The solution to any problem depends on the depth of our understanding of it. Cancer is a disease that is being investigated at multiple levels and from multiple perspectives to understand the details of its origins and expansions in order to be able to figure a cure for it. We can now computationally analyze the biological data produced by genome analysis techniques like genomics, proteomics, and transcriptomics. DNA micro array technology has made available large gene expression datasets for entire genomes. It has been clinically observed that inside a human cell, activity of a gene often turns on or turns off one or more other genes. Such relationships in the co-regulation of genes is captured by gene regulatory network models which are computationally constructed from gene expression datasets. It has been observed that healthy and diseased states of a human cell show different regulatory interrelations between genes. In this paper, we have proposed to use a stochastic approach called Bayesian Networks with Feedback and Feedforward loops for inference of inter dependence in the regulation of genes in case of Prostate Cancer. It was observed that 4 of the networks revealed by the proposed approach matched the ones observed in clinical studies.
Efficient Conversational AI Agent to Improve Rural and Urban Healthcare
Authors:   REVA University, India., J. Nischita N. , C. Mylara Reddy ,   REVA University, India.
Published: July 2023

Conversational AI agents are software programs which works exactly like humans, they interpret the users and accordingly react to the inputs given by them. These agents are built considering the medical interventions required to improve the overall health of the society. The AI agent designed acts intelligently during the process of the interaction between the humans and itself. It allows the user to use the interface by asking interactive questions then it processes them and responds relatively. Conversational agents are not only web based but they can also be used on other platforms like mobile phone or any other mobile devices. Despite all these a user shall be satisfied if and only if the software is easy to use and obtains the exact results with all of the queries being answered. The main concern with this model is to give that ease to the user to interact with the agent thus solving the queries related to the symptoms suffered by the patients and hence predicting the disease at an early stage by maintaining the accuracy. There are around 100000 diseases in the world according to WHO. Most of their symptoms overlap as well hence by using this agent its possible by it to think insightfully and predict the early symptoms of the disease. In this paper we have designed a user interface and this interacts with the user to take the necessary inputs. This data is fed to the advanced Natural Language Understanding (NLU) to provide the personalized prediction based on the user interaction. The predictions done by the model uses the classification algorithms of Machine Learning. The accuracy of each of these algorithms varies. Therefore instead of considering only one algorithm and hoping it gives the best accuracy, we can use the Ensemble learning method to improve the overall prediction rate. This method gives better predictive indications as it combines many models results thereby improving the overall precision. Here we train our model using various algorithms and ensemble them to get the final results based on the technique of voting. This paper presents a front-end interface for common man using HTML and Angular JS, NLU for text pre-processing using Tensorflow method and ML model as a classifier, for the prediction which uses various machine learning algorithms like SVM, Decision Tree, Random forest etc and combines them all in a majority voting ensemble for balanced results. Therefore this model interacts with any patients be it from the rural or the urban and based on their symptoms predicts and ranks the most probable disease accurately and reliably.
Machine Learning Based Flower Recognition System
Authors:   Assistant Professor, Computer Science and Engineering Department SRM Institute of Science and Technology, Chennai, India., Sellam Mrs.V. , Reddy Mr.S.Vivek ,   Pursuing Bachelor of Technology, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Praveen Mr. K. ,   Pursuing Bachelor of Technology, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Krishna Mr.G.C. ,   Pursuing Bachelor of Technology, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: July 2023

Automatic flower plucking systems for smart agriculture are being studied for many years to support flower harvesting. Such systems require flower recognition task to be integrated as part of the system. This paper presents an approach for classification of flowers using a machine learning algorithm. The method categorizes flowers into different species with the help of convolutional neural networks and deep learning techniques. The system uses a pre-trained CNN model to improve the accuracy rate. Concepts such as Feedforward, back-propagation and transfer learning are used to create the neural network model. Different hyper-parameter values have been tested on the model which provides maximum accuracy of 85.0 percentage on the testing dataset. The result is visualized in the form of bar-plots which provides the top 5 predictions of flower species for the given input image of a flower.
An Effective Authentication Scheme for Videos using Invisible Watermark
Authors:   St. Joseph’s College (Autonomous) Bangalore., Earned Ms. Jayati Bhadra , Murthy Dr. M. Vinayaka ,   REVA University, India, Banga Dr. M. K ,   Dayanand Sagar University, India.
Published: July 2023

In this paper, a novel reversible keyless invisible authentication method for video piracy protection which uses randomized pixel for embedding real identity information is proposed. Randomization at two different levels is not considered in any of the existing methods. Videos, with this proposed embedding of authentication information, ensure minimum distortions and maximum resistance to the removal of authentication information. Keyless invisible embedding process increases the security and reduces the cost. This proposed approach enhances the randomization of the specific pixels where authentication information will be stored in a frame and the location of such modified pixels is stored in an immediate next frame. Each pair is identified with an embedded random number. Modified Least Significant Bit (LSB) based invisible watermark mechanism is used to embed the bits which are cost effective due to simplicity and which can withstand statistical attacks. During extraction, frame with pixel locations is used. The extracted information will be compared to assure the authenticity of video. The Euclidean distance, PSNR, MSE, SSIM proved that the proposed method can withstand visual attacks. StirMark test proved that the proposed algorithm is highly robust.
Smart Traffic Analysis using Machine Learning
Authors:   School of C&IT, REVA University, Bangalore, India., S. Aditya Krishna K.V. , K Abhishek ,   School of C&IT,.REVA University, Bangalore, India., Swaraj Allam ,   School of C&IT, REVA University, Bangalore, India, Patil Dr. Shantala Devi ,   School of C&IT, REVA University, Bangalore, India, Shyam Dr. Gopala Krishna ,   School of C&IT, REVA University, Bangalore, India
Published: July 2023

Congestion is costly as well as annoying. India is the second largest road network in the world. Out of the total stretch of 5.4 million km of road network, almost 97,991 km is covered by national highways.The major cause leading to traffic congestion is the high number of vehicle which was caused by the population and the development of economy[1].Typical urban residents spend more than ten hours a week driving of which (one to three hours) occurs in congested situation. In smart city roads would be equipped with the sensors for analyzing the trafficflow and also there are few traffic analysis / prediction methods use neural network and other prediction models which are not so efficient and suitable for many real world application [1]. So, here in this paper solution for traffic analysis using random forest algorithm is being proposed which would select only part of data for analyze like two third of entire data and predict the traffic congestion of specific path and notifying well in advance the vehicles intending to move to move on that specific path. Thus accurate traffic flow information help road users for fast and safe transporting.
Detection of Liver Lesion using ROBUST Machine Learning Technique
Authors:   School of C & IT, REVA University, Bangalore, India., K Sowmya Sundari L , Guptha Dr. Nirmala S ,   School of C & IT, REVA University, Bangalore, India., G Shruthi ,   School of C & IT, REVA University, Bangalore, India, K Thanuja ,   School of C & IT, REVA University, Bangalore, India., K Anitha ,   School of C & IT, REVA University, Bangalore, India.
Published: July 2023

In the present era, Computer Aided Diagnosis (CAD) is very useful for the detection of a liver tumor. This type of study and categorization system can moderate an unnecessary biopsy. The proposed method for the detection of liver cancer clusters in liver images using Gabor features and shape features. The mentioned regions are categorized by the SVM classifier utilizing the most prevailing features selected from the above features. In our project, we have proposed a systematic approach of analyzing a liver under cancer positive environment. We have proposed a technique for tumor identification and segmentation using image smoothing and refining methods. When we use CT images for the detection of liver tumor manual interaction is not necessary, since it works automatically. The projected method needs to learn a few model parameters such as tumor part, non-tumor part, and segment liver regions. The complete system is divided into the training part and testing part respectively and this system is based mainly on SVM. The input liver image undergoes for the preprocessing step and image segmentation. Preprocessing includes many steps like the resizing of an image, improve the clarity of the image, conversion form colored image into grayscale. After these necessary features are collected from the resulting image. These collected features are then fed to the SVM for training. These collected features are compared with examination results by the SVM Classifier with the existing trained features using RBF kernel. Contingent upon the correlation result, the classifier gives the outcome.
Steg Crypt (Encryption using steganography)
Authors:   Asst. Professor, School of C&IT, REVA University, Bengaluru, India., Gowda Naveen Chandra , Venkat P Sai ,   School of C&IT, REVA University, Bengaluru, India., R Madhupriya ,   School of C&IT, REVA University, Bengaluru, India., Prashanth Guru ,   School of C&IT, REVA University, Bengaluru, India., Acharjee Raunak ,   School of C&IT, REVA University, Bengaluru, India.
Published: July 2023

The target of this venture is to obtain secured encryption and authentication using steganography. So as to accomplish this, numerous organizations & universities in the world have given solutions to secured communication, in the interim many algorithms have been created, including like AES, RSA, LSB etc. But though these algorithms have been developed they were endured to breakdown by hackers which make them obsolete. In this paper we try to combine many already existing algorithms like AES, LSB into one proposed system. Firstly, the utilization of steganography along with traditional encryption is implemented in the proposed system. Second, we try to achieve authentication of user using OTP via E-mail. Thirdly, the encrypted data is divided and sent across many servers so it’s impossible to get complete encrypted data in one path. By applying the proposed model, the probability of data compromise becomes very minimal and very hard to hack.
Device Contextual Content Publishing in Media & Publishing Industry using Big Data Analytics on AWS
Authors:   School of C& IT, Reva University, Bangalore, India., G Girish , M Dr. Prabhakar ,   School of C&IT, Reva University, Bangalore, India.
Published: July 2023

Media & Publishing industry was traditionally a Paper and Print Industry. Since the revolution of Internet, industry started moving print to the digital form. Ever since the rapid penetration of mobile phones the media industry has rapidly scaled down paper publishing and adopted digital form successfully Internet speeds have also increased the adoption of Digital Print’s. With Newspapers being accessed globally in its digital form, it is extremely important for publishers to keep their content readily accessible and rich for various devices – Tablets, Laptops, Desktop’s, Mobile Phones, Smart Watches, Digital reader’s etc. This Paper talks about an ECONOMICAL & HIGHLY SCALABLE Big Data analytics implementation using AWS Elastic Map Reduce (EMR) to derive trends on end user usage patterns and choice of device. This will help the publishers rapidly scale to provide device contextual content to end users with ever changing access mechanisms
An Overview on Disease Prediction for Preventive Care of Health Deterioration
Authors:   Dept. of CSE., SJB Institute of Technology, Bangalore, India., N Mohan Kumar K , Sampath S. ,   Dept. of ISE., Adichunchangiri Institute of Technology, City Chikkamagaluru, India., Imran Mohammed ,   Research and Development, Ejyle Technology, Bangalore, India.
Published: July 2023

Machine learning in health care has recently made headlines. With the wide spread increase of population, the need for reliable mechanism to prevent diseases has increased in manifold. In the recent days there is an increase in health problems in majority of the population across the globe. The reason for health problems is not specific but it has become very uncertain. If we take a sample from the population, it should not be a surprise to see a person suffering from ailments irrespective of age and quality of life. For example chronicle diseases are found in people at a very young age. So this situation poses a serious challenge for clinical experts to find the root cause. It is difficult to accurately predict the future health based on the current health status because the scenario might not be same for all the patients. Providing an affordable, high quality health care service has become a big challenge. In this regard, preventive care of diseases is investigated for decades. It is an area of regular extension of research works and progression day by day and there is sufficient literature available on prediction of diseases. Our work includes a disciplined study to consolidate existing works on prediction and classification of diseases. This paper will provide technical insight and paves way for future developments in the health care field.
SEBASTiAn: a Static and Extensible Black-box Application Security Testing tool for iOS and Android applications
Authors: Pagano Francesco , Romdhana Andrea , Caputo Davide , Verderame Luca , Merlo Alessio
Published: July 2023

Despite decades of research, the automatic detection of vulnerabilities in mobile apps remains an open challenge. Among the possible solutions, SAST tools uncover source or compiled code security flaws without needing the app to be executed and tested in a controlled environment. However, SAST tools share several limitations, such as the detection of narrowed vulnerability classes, lack of updates, and limited resiliency to obfuscation techniques. This paper presents SEBASTiAn, a black-box automatic static analysis tool for security vetting Android and iOS apps. It relies on a modular approach to cope with new vulnerabilities.
REALIST SCULPTURE IN CHINA - DISCOVERY AND FORMATION OF ART METHOD
Authors: Huang Weiwei
Published: July 2023

Chinese sculpture has a long history and is a world-renowned art treasure and cultural heritage. With the changes in the global political structure and China's internal social system in the past two hundred years, they have directly affected the development direction of Chinese sculpture. The traditional Chinese sculpture system has gradually weakened. In line with the trend of 'learning from the West' at the end of the Qing Dynasty, students, policymakers, and practitioners of sculpture-related industries began to reach a tacit agreement, with many factors contributing to a new choice for Chinese sculpture, which had long been closed to the outside world and self-development. During the Republic of China period, the popularization of Western theories of sculpture and the cultivation of Westernized talents made Chinese sculpture present the budding trend of realism in this period. These include the enlightenment of European sculpture, the establishment of art schools and the self-cultivation of talents, and the staged upsurge of studying abroad. This article explores the origin and development of realism art in China by describing the history of modern Chinese sculpture art in the context of a specific historical period from the end of the 19th century to the beginning of the 20th century. Of course, Chinese realism has its special presentation and historical significance. There is no necessary connection between the birth of realism consciousness and the germination of Chinese realist sculpture. The realist sculpture from the late Qing Dynasty to the Republic of China was the natural choice of artists who learned from the West and met the needs of society. Therefore, this article will not cover a broader discussion of the origins of realism.
Improving Student Motor Skills through a Structured Physical Training Program
Authors: Jafar Muhammad , Rinaldy Alfian , Yunus Masri
Published: July 2023

The purpose of this study is to determine whether a structured exercise program can improve students' motor skills. Everyday activities, including academic and professional ones, necessitate strong motor skills. In any case, numerous understudies need assistance with their coordinated movements which can influence their general exhibition. An experimental design with a randomized control group was used in this study. There were two groups of 100 students in the research sample: the exploratory gathering, which went through an organized actual activity program, and the benchmark group, which got no mediation. Before and after the intervention, students' motor skills were assessed using a tested that was proven to work. The outcomes showed that the organized actual activity program altogether further developed understudies' coordinated abilities contrasted with the benchmark group. Motor coordination, agility, and movement accuracy all improved significantly in the experimental group. They also said they performed better on tasks that required motor skills. This study's findings show that students' motor skills can be improved with a structured exercise program. This study's practical implications include the need to incorporate structured physical activity into higher education curriculum to ensure that students have sufficient motor skills for life success.
Skrining Fitokimia Dan Analisis Kadar Kafein Pada Kopi Bubuk Jenis Arabika Di Kota Takengon Menggunakan Spektrofotometri Ultraviolet
Authors: Andry Muhammad , Shufyani Fahma , Nasution Muhammad Amin , Fadillah M. Fariz , Tambunan Ika Julianti , Rezaldi Firman
Published: July 2023

Latar belakang: Kopi merupakan jenis tumbuhan yang mengandung kafein dan dapat diolah minuman lezat. Saat ini kopi menjadi minuman paling disukai masyarakat dunia setelah air dan teh. Tujuan untuk mengetahui kadar kafein pada kopi bubuk arabika yang beredar di pasaran kota takengon tersebut sesuai standar nasional Indonesia (SNI 01-7152-2006). Jenis penelitian ini eksperimental dengan mengambil sampel secara purposive. Metode penelitian yang dilakukan adalah skrining fitokimia, analisa kualitatif, dan spektrofotometri ultraviolet pada panjang gelombang 273 nm. Parameter validasi yaitu Presisi, lineritas, LOD dan LOQ. Hasil dari skrining fitokimia sampel A pada perlakuan uji meyer mendapatkan hasil negatif tetapi yang lainnya positif. Dan pada sampel B semua pengujian mendapatkan hasil positif. Pada ketiga pengujian analisa kualitatif pada sampel A dan B mendapatkan hasil yang positif. Hasil rata-rata analisa kuantitatif pada sampel A sekali minum 11,632 mg dan kadar sehari 34,897 mg. sedangkan pada sampel B kadar sekali minum 6,663 mg dan sehari minum 19,989 mg. Hasil uji Validasi diperoleh linearitas r2 = 0,998, LOD dan LOQ yaitu 0,882 µg/ml dan 2,94 µg/ml, nilai RSD yaitu 1,11%. Kesimpulan, sampel A dan sampel B memenuhi syarat menurut SNI tahun 2006 (50 mg sekali dan 150 mg sehari) dan juga memenuhi syarat menurut farmakope edisi III yaitu dosis maksimum sekali 500 mg dan sehari 1,5 g
studi penggunaan pewarna kopigmentasi biji kesumba keling (Bixa orellana L.) Dan Angkak Merah Dalam Formulasi Suspensi Parasetamol
Authors: Salman Salman , Sudewi Sudewi , Amira Jazilul , Indriana Meutia
Published: July 2023

Pendahuluan; Kesumba keling (Bixa orellana L.) merupakan tanaman yang berasal dari benua Amerika, yang banyak dibudidayakan didaerah tropis dan subtropis. Angkak merah merupakan beras putih yang telah mengalami proses fermentasi dari beras dan kapang (Monascus Purpereus). Penelitian ini bertujuan untuk mengetahui kopigmentasi biji kesumba keling (Bixa orellana L.) dan angkak merah dalam bentuk ekstrak etanol dapat diformulasi sebagai pewarna kedalam suspensi parasetamol yang pada konsentrasi tertentu dapat menghasilkan warna yang memenuhi syarat dan mampu memberikan kestabilan warna. Metode; Penelitian ini menggunakan metode eksperimental, menggunakan bahan uji biji kesumba keling (Bixa orellana L.) dan angkak merah dengan perbandingan 1:2 memakai cara maserasi menggunakan penyari etanol 96%, diformulasi kedalam sediaan suspensi parasetamol konsentrasi 0,25%, 0,50%, 0,75%, serta blanko. Pemeriksaan mutu fisik sediaan mencakup, pemeriksaan organoleptis, penentuan pH sediaan, pengamatan stabilitas sediaan terhadap penyimpanan, dan uji viskositas. Hasil; Hasil penelitian menunjukkan bahwa biji kesumba keling (Bixa Orellana L.) dan angkak merah dalam bentuk ekstrak etanol dapat diformulasikan sebagai pewarna kedalam sediaan suspensi parasetamol. Sediaan suspensi parasetamol kopigmentasi ekstrak etanol biji kesumba keling (Bixa orellana L.) dan angkak merah dengan perbandingan 1:2 merupakan sediaan yang stabil dan memiliki rentang pH 4,1-4,4 dan pH setelah cycling test 4,0-4,3. Memiliki warna yang berbeda untuk tiap konsentrasi yang dikandung dengan viskositas 102,0-136,0 dPa.s. Sediaan suspensi parasetamol formula I dengan konsentrasi 0,25% menghasilkan warna merah(+), sediaan formula II dengan konsentrasi 0,50% menghasilkan warna merah (++), sediaan formula III dengan konsentrasi 0,75% menghasilkan warna merah (+++) dan sediaan blanko berwarna putih.
Fístula Coronário-cavitária com Aneurisma em Seu Trajeto: Relato
de Caso de Tratamento Percutâneo
Authors: Jesus Carlos Alberto de , Correia Edileide de Barros , Silva Líria Maria Lima da , Pinto Ibraim Masciarelli Francisco , Andrade Mercedes Del Rosario Maldonado , Alencar Andrezza Lobo de , Ribeiro Marcelo Silva
Published: July 2023

Discorre-se o caso de uma paciente de 29 anos com palpitações, dor torácica e dispneia aos esforços, com diagnóstico de fístula coronariana direita e submetida à correção percutânea de trajeto fistuloso com prótese Amplatzer.
Imagem Não Invasiva Contemporânea na Síndrome Coronariana Crônica: O que a Ressonância Magnética Cardiovascular de Estresse Tem a Oferecer
Authors: Leo Isabella , Araujo Laura Torres , Bucciarelli-Ducci Chiara
Published: July 2023

A imagem cardíaca não invasiva possui um papel diagnóstico e prognóstico estabelecido em pacientes com doença cardíaca isquêmica suspeita ou conhecida, e a tecnologia de imagem evoluiu tem evoluído significativamente ao longo dos anos. A ressonância magnética cardiovascular (RMC) surgiu como uma modalidade robusta de imagem diagnóstica e prognóstica e atualmente representa uma alternativa válida a outras técnicas existentes e bem validadas, mas também surgiu como uma possível estratégia de primeira linha.

As principais diretrizes de prática clínica têm cada vez mais incorporado a RMC de estresse como um teste clínico indicado para pacientes com dor torácica. A RMC de estresse recebeu recomendação de classe I pela primeira vez nas diretrizes da Sociedade Europeia de Cardiologia (ESC) de 2014 para revascularização, seguidas pelas diretrizes da ESC de 2017 no diagnóstico e tratamento do infarto do miocárdio com elevação do segmento ST, que tem recomendado a RMC como um teste alternativo para a função ventricular esquerda quando a ecocardiografia é subótima, mas também para a avaliação da viabilidade miocárdica e isquemia. As diretrizes da American Heart Association (AHA)/American College of Cardiology (ACC) recentemente publicadas em 2021 também indicam a RMC de estresse com recomendação de classe I para pacientes com dor torácica aguda e crônica e risco intermediário de doença arterial coronariana (DAC) ( ).
Fortifikasi Tepung Tulang Ikan Gabus (Channa striata) pada Kerupuk sebagai Sumber Kalsium
Authors: Putra M. Ryo Andika , Nopianti Rodiana , Herpandi Herpandi
Published: July 2023

The purpose of this research was to investigae of snakehead fish bone meal addition to crackers characteristic. This research was used random block design (RBD). The treatment of snakehead fish bone meal were 0%, 10%, 20%, 30%, and 40%. The parameters of this research were chemical analysis such as water, ash, protein, lipid, carbohidrate and calcium, while physic analysis such as hardness, colour, volume expands, and sensoric analysis such as colour, texture (hardness), aroma and taste. The result showed that treatment gave significant effect on ash, protein, lipid, carbohidrate and calcium, physic analysis such as hardness, volume expands, lighness and chrome, sensoric analysis such as hardness and taste, but they were no effect to water content, hue, and sensoric analysis such as colour and aroma. ash consentration of this crackers interval 2.85%-19.19%, protein was on 1.96%-6.14%, lipid was on 14.75%-19.39%, carbohidrate was on 56.05%-72.00%, calcium was on 21.60mg/100g-572.51mg/100g. The hardness of this crackers was 229.23 gf - 558.92 gf, volume expands was 45.58%-97.30%, lightness was 60.93%-71.03%, chrome was 6.33%-18.70% and hardness of analysis sensoric was 1.96-3.13 and taste was 2.01-3.24. The crackers were added with snakehead fish bone meal had effect on hardness
Evaluasi Keamanan Ikan Asap di Dusun I Epil Kecamatan Lais Kabupaten Musi Banyuasin
Authors: Fuadi Anton , Supriadi Agus , Nopianti Rodiana
Published: July 2023

The objective research was to identify and analyze the safety level of smoked fish at traditional processing unit of Epil I, District of Lais, Musi Banyuasin. The research method used descriptive method. Sample was taken from three producers of smoked fish at traditional processing unit of Epil I, District of Lais, Musi Banyuasin. The highest water content of smoked fish was at the third producer (13.13+0.21%) and the lower at the first producer (10.14+3.65%). The highest salt content of smoked fish was at the first producer (0.87+0.35%) and the lower at the third producer (0.84+0.25%). The highest water activity was at the third producer (0.57+0.08) and the lower at the first producer (0.44+0.11). The highest peroxide was at the second producer (5.38+3.15 mg/kg) and the lower at the first producer (5.07+2.47 mg/kg). The highest mold test was at the third producer (3820 cfu/g) and the lower at the first Producer (2560 cfu/g). The highest heavy metal was at the third producer (11.96+9.54 mg/kg) and the lowes at the first producer is 7.11+7.16 mg/kg.
Karakteristik Fisiko-Kimia dan Sensori Mie Kering dengan Penambahan Tepung Ikan Motan (Thynnichthys thynnoides)
Authors: Irsalina Riski , Lestari Shanti Dwita , Herpandi Herpandi
Published: July 2023

The purpose of this research was to know the physicochemical and sensory characteristics of dry noodle with minnow carp (Thynnichthys thynnoides) fish meal addition. This research used the factorial randomized block design. The treatment was different fish meal concentration (0, 5, 10, 15, and 20%). The parameters of this research were chemical variables (water, ash, lipid, protein, carbohydrate, calcium, phosphorus content), physical variables (lightness, chroma and hue, hardness, tensile strength, elongation, water absorption) and sensoric variables (colour, aroma, taste and texture). The result showed that treatment gave signitificant effect on physical variables (water, ash, lipid, protein, calcium and phosphorus content), physic variables (lightness, chroma and hue, hardness, tensile strength, elongation) and sensoric variables (colour, aroma, taste texture), but there was no significant effect on carbohydrate content and water absorption. The best treatment was addition of M1 (100% wheat flour and 5% minnows carp fish meal). The concentration of water, ash, protein, lipid, carbohydrate, calcium, and phosphorus were 13.03%, 14.21%, 23.75%, 0.9%, 46.75%, 0.127%, 0.162%, respectively. The lightness, chroma, hue, hardness, tensile strength, elongation and water absorption were 58.4%, 18.6%, 71.1o, 1011.73 gF, 15.93 gF, 27.33%, 140.98%, respectively. Panelist scores for colour, aroma, taste and texture were 3.8 (rather bright yellow), 4 (not fishy), 4.08 (tastefull) and 4.08 (chewy), respectively
PENGARUH STRES KERJA, BEBAN KERJA, LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN PT. JASA MARGA (PERSERO) TBK CABANG BELMERA
Authors: Arfi Hafiz Mudrika  , Demak Claudia Yosephine Simanjuntak2  , Andre Syahputra Tarigan
Published: July 2023

Employee performance can be relied on by several factors that can improve or enhance employee performance. These factors include work stress, excessive workload and a work environment that is not conducive. This study aims to analyze the effect of work stress, workload, and work environment on employee performance at PT. Jasa Marga (Persero) Tbk Belmera Branch. Data were collected from questionnaires from 50 respondents for statistical analysis. The statistical analysis used is descriptive analysis and multiple linear regression analysis. The results showed that Job Stress (X1), Workload (X2) and Work Environment (X3) had a positive and significant effect on Employee Performance (Y) at PT. Jasa Marga (Persero) Tbk, Balmera Branch, Medan, either partially or simultaneously. The findings above illustrate that the company can implement measures to prevent work stress, workload and create a work environment to achieve more optimal employee performance.
PENGARUH PERPUTARAN PIUTANG DAN PERPUTARAN PERSEDIAAN TERHADAP RETURN ON ASSET PADA PT. UNILEVER INDONESIA, Tbk
Authors: Zulkhaidah  , Nurul Huda
Published: July 2023

This study aims to analyze the effect of accounts receivable turnover and inventory turnover on return on assets simultaneously and partially. This type of research is associative. The population in this study is financial statement data in the form of balance sheet and profit and loss at Pt. Unilever Indonesia, Tbk, 1982 - 2019 (37 years) since the company went public. The sampling technique used was purposive sampling with the criteria of financial report data available for 10 consecutive years, from 2010-2019. The data analysis technique used is multiple linear regression. The results showed that accounts receivable turnover partially did not have a significant effect on return on assets. and inventory turnover has a significant effect on return on assets. while accounts receivable turnover and inventory turnover simultaneously have a significant effect on return on assets at Pt. Unilever Indonesia, Tbk.
PENGARUH KOMPENSASI, LINGKUNGAN KERJA DAN KEPEMIMPINAN TERHADAP KEPUASAN KERJA PEGAWAI KANTOR KECAMATAN TASIK PUTRI PUYU
Authors: Hendra  , Woro Utari  , C. Sri Hartati
Published: July 2023

The target of this research is as a tool to find out and analyze the impact of compensation, work environment, leadership on job satisfaction. This type of research is explanatory research and uses a quantitative approach. The population in this study were all 32 employees of the Tasik Putri Puyu Sub-District Office and using a census sampling of 31 people because the researchers were reduced. The method of analysis that will be applied in this research is to use multiple linear regression analysis. The research found that compensation, work environment, leadership and employee satisfaction at the Tasik Putri Puyu District Office were good. Compensation and leadership have a positive and significant impact on employee satisfaction. work environment has a positive but not significant impact on employee satisfaction.
PENGARUH KEPEMIMPINAN DAN LINGKUNGAN KERJA TERHADAP KINERJA PEGAWAI MELALUI DISPLIN KERJA DI DINAS PENDIDIKAN KABUPATEN BOJONEGORO
Authors: Heru Martono  , Woro Utari  , Nugroho Mardi Wibowo
Published: July 2023

The purpose of this study was to determine and analyze the influence of leadership and work environment on work discipline. To find out and analyze the influence of leadership, work environment and work discipline on employee performance. To find out and analyze the influence of leadership and work environment on employee performance through work discipline. This research is an explanatory research and has a quantitative approach. The population in this study were 90 people. The number of samples used in as many as 90 people. The technique used in this sampling is total sampling. Data analysis and processing were carried out using path analysis. Based on the results of the analysis, it can be concluded that there is a significant influence between Leadership and Work Environment on Work Discipline at the Bojonegoro Regency Education Office. There is a significant influence between leadership and work discipline on employee performance. There is no significant influence between the Work Environment and Employee Performance. There is a significant influence between Leadership on Employee Performance through Work Discipline. There is no significant influence between the Work Environment on Employee Performance through the Work Discipline.
GELIAT MEDIA SOSIAL DAN PENGARUHNYA TERHADAP MINAT BERKUNJUNG WISATAWAN
Authors: Titi Setiyarti  , Grace Felas Silitonga
Published: July 2023

The influence of social media on tourism has risen, since through it tourists can get information to help them in their travel planning process. This article will focus on looking at the influence of social media on the visiting interest of domestic tourists using indicators proposed by Taprial dan Kanwar (2012), with Nusa Penida as a case study. The research that forms the basis for writing this article was carried out in the fourth quarter of 2020 when the Covid-19 pandemic occurred, hence all the questionnaires were distributed online through Google Forms. The study found that while the variables of ‘accessibility’, ‘speed’, ‘interactivity’, ‘volatility’, and ‘range’ simultaneously have a significant effect, only ‘interactivity’ and ‘range’ have a partially significant positive effect on visiting interest of domestic tourists. Furthermore, although the regression model can statistically be used to determine the interest in visiting domestic tourists, the effect is not large, only 49%, while the remaining 51% is influenced by other factors. This indicates that a deeper research is needed on social media indicators that, directly or indirectly, affect the interest of domestic tourists to visit a particular tourist site such as Nusa Penida.
PENGARUH KOMPETENSI DAN STRES KERJA TERHADAP TURNOVER INTENTION PADA KARYAWAN FURAMAXCLUSIVE OCEAN BEACH SEMINYAK HOTEL
Authors: Ari Novarini  , Ni Luh Putu Andriani  , I Wayan Sujana  , Made Ika Prastyadewi
Published: July 2023

Human resources are very important in every organization, the goals and objectives that have been set will not be achieved if human resources cannot make a major contribution to the successful achievement and goals of the company. The purpose of this study was to examine the effects of career development and work pressure on goal turnover. This research was conducted at FuramaXclusive Ocean Beach Seminyak Hotel. The number of respondents is 80 people. Collecting data by distributing questionnaires using a Likert Scale. Data analysis techniques are several linear regression analysis techniques using SPSS version 21. Based on the results of linear regression analysis obtained a negative and significant career development effect on turnover intention, job stress has a positive and significant effect on turnover intention.
STUDI KELAYAKAN BISNIS USAHA SABLON DI UD. ANANTA DESA ADAT KAPAL KECAMATAN MENGWI KABUPATEN BADUNG
Authors: Ni Luh Ketut Ayu Sudha Sucandrawati  , Ni Wayan Ari Sudiartini
Published: July 2023

: The screen printing business is a business engaged in printing services both from batik uniform printing to school uniforms, in this study which aims to analyze the business feasibility study to improve the screen printing business UD. Ananta in the Desa Adat Kapal, Mengwi District, Badung Regency, viewed from several aspects of both marketing aspects, legal aspects, technical and technological aspects, environmental aspects, financial and financial aspects, this study uses descriptive qualitative research with interview methods. The results obtained from this study indicate that company management consists of Planning, Organizing, Actuating, Controlling. However, there are problems that occur in the external environment showing the level of competition both from the threat of changing school batik uniforms to school endek. Therefore the strategy used for the development of the screen printing business is to improve the quality of production which will affect the results given to consumers. From the financial aspect, the NPV (Net Present Value) value is Rp. 208,575,502, IRR (Internal Rate of Return) 13.49%, PI (Profitability Index) 1.6. NPV is said to be feasible because it has a positive value, an IRR that is declared feasible because the interest rate on the net cash flow of a project is positive and the PI is feasible because it has more than one value so that the company is feasible to realize.
PENGARUH KEDISIPLINAN TERHADAP PRODUKTIVITAS PADA KANTOR BADAN PENANGGULANGAN BENCANA DAERAH (BPBD) KOTA BIMA
Authors: Asti Dwiyanti  , M. Badar
Published: July 2023

This research was used to see the effect of discipline on productivity at the Regional Disaster Management Agency (BPBD) Bima City. The quantitative method used in this study shows cause and effect. The population used in this study were all employees of the Regional Disaster Management Agency (BPBD) Bima city, totaling 44 employees. The sample used is as many as 30 employees. The sampling technique used is purposive sampling. The research instrument used in this study is a questionnaire with a Likert scale. Observation, questionnaire and documentation are data collection techniques used. The data analysis technique used in this study is simple linear regression analysis using IBM SPSS 21 software. The results show that: Discipline affects employee productivity at the regional disaster management agency (BPBD) office of Bima city.
PENGARUH GAYA KEPEMIMPINAN, MOTIVASI, INSENTIF, DAN LINGKUNGAN KERJA TERHADAP KINERJA PEGAWAI PADA BADAN PUSAT STATISTIK PROVINSI
Authors: Dwi Yustiani
Published: July 2023

Permasalahan sumber daya manusia dalam keberlangsungan Badan Pusat Statistik Provinsi Bali sebagai Lembaga pemerintah yang memiliki tujuan utama sebagai penyedia data terpercaya yakni pemetaan terlihat dengan terjadinya penurunan rata-rata kinerja pegawai di periode triwulan yang cenderung padat akan kegiatan. Pada tahun 2018, capaian kinerja organisasi tampak terjadi penurunan jika dibandingkan dengan tahun sebelumnya. Penelitian ini bertujuan untuk menganalisis pengaruh gaya kepemimpinan, motivasi, insentif, dan lingkungan kerja terhadap kinerja pegawai di lingkungan Badan Pusat Statistik Provinsi Bali. Data yang digunakan dalam penelitian ini adalah data primer dan data sekunder yang diperoleh melalui responden penelitian, maupun studi literatur. Jenis penelitian adalah penelitian kuantitatif dengan cara perolehan data adalah self enumeration questionnaire. Sampel penelitian berjumlah 64 responden. Alat analisis yang digunakan dalam penelitian ini adalah regresi linear berganda yang disertai dengan pengujian asumsi klasik serta uji validitas dan reliabilitas terhadap kuesioner. Hasil pengujian menunjukkan bahwa secara simultan dengan tingkat kepercayaan 95 persen, gaya kepemimpinan, motivasi, insentif, dan lingkungan kerja secara bersama-sama berpengaruh signifikan terhadap kinerja pegawai. Sementara itu, ketika dilakukan pengujian parsial, hanya variabel gaya kepemimpinan dan lingkungan kerja berpengaruh terhadap kinerja pegawai di Badan Pusat Statistik Provinsi Bali. Kinerja pegawai di Badan Pusat Statistik menjadi sesuatu yang penting bagi pencapaian tujuan organisasi. Oleh karena itu, peningkatan kualitas gaya kepemimpinan, didukung oleh bertambahnya motivasi pegawai, serta perumusan pemberian insentif yang baik, dan ditambah dengan lingkungan kerja yang baik, merupakan kombinasi yang baik yang akan berdampak signifikan pada kinerja pegawai di Badan Pusat Statistik Provinsi Bali.
ANALISA DAMPAK PANDEMI COVID-19 TERHADAP PELUANG USAHA RUMAHAN MASYARAKAT KOTA DENPASAR
Authors: Dana Paramitha  , Ayu Siska  , Mila Rosa
Published: July 2023

The island of Bali as a tourist area is very dependent on the stretching of domestic and foreign tourist visits. According to the latest data from the Central Statistics Agency, tourist visits have decreased drastically from the previous year. This decline certainly greatly affects the economic activity of small and medium-sized communities, quite a lot of them have to be temporarily laid off or laid off by the company where they work or even experience a decrease in sales turnover for those who come into contact with or contribute to tourism activities themselves. Denpasar City as the capital of Bali Province and the center of trade and tourist visits has experienced a significant impact due to the influence of the spread of the Covid-19 Virus. This affected economic condition will certainly create new problems if the community is ready to anticipate the economic condition of the tourism sector which has not yet recovered by exploring the economic potential that can cover the lack of people's income. Business fields that are developing in the field of culinary, traditional medicine, medical equipment and ornamental plants are the people's choice to survive. The use of information technology is also a must for the community to be applied so that they can continue to interact quickly to support the business activities being carried out. The COVID-19 pandemic situation has had a positive impact on the community to keep trying to continue the business that has been initiated as an alternative to additional family income in the future.
Manajemen Pengolahan Minuman Sehat TOGA Sebagai Peluang Bisnis Kewirausahaan dan Pariwisata
Authors: Mistriani Nina , Maria Aletta Dewi , Hendrajaya Hendrajaya , Helyanan Phia Susanti
Published: July 2023

Pengembangan wirausaha memiliki peranan penting dalam kemajuan suatu wilayah yang menghadirkan transformasi ekonomi dalam pengembangan pariwisata dan UMKM untuk menciptakan pengembangan desa yang berkelanjutan. Salah satu program untuk mencapai program yang efektif tepat sasaran pada masyarakat adalah melalui kerjasama keterlibatan akademisi untuk melaksanakan program pendampingan mencapai target sasaran yang bernilai ekonomis bagi masyarakat lokal. Tujuan Pendampingan ini menyelesaikan permasalahan mitra yang berfokus pada manajemen pengolahan minuman sehat tanaman obat keluarga sebagai peluang bisnis produk masyarakat lokal dan pengembangan pariwisata edukasi di Desa Branjang. Metode pendampingan melalui beberapa tahapan identifikasi potensi, pelatihan & pendampingan, FGD, Evaluasi, dan Demonstrasi. Hasil Pendampingan menciptakan wirausaha baru yang produktif dalam produk kreatif dan inovatif sebagai peluang bisnis dalam pariwisata melalui pemanfaatan tanaman toga yang mensejahterakan ekonomi masyarakat menjadikan unggulan desa wisata di Jawa Tengah.
Pelatihan Pembuatan Pupuk Kompos Berbahan Daun-Daun Kering Bagi Siswa SMP Negeri 17 Palembang
Authors: Handayani Susi , Emilda Emilda , Nabilah Nabilah , Syifa Audy , Nadhisa Nadhisa
Published: July 2023

Daun-daun yang sudah tua memiliki nilai lebih dan bisa berguna termasuk kedalam sampah-sampah organik, serta dapat dimanfaatkan untuk pembuatan kompos yang bersifat ramah lingkungan. Pemanfaatan daun-daun kering dan berguguran untuk dijadikan kompos atau pupuk alamiah merupakan salah satu alternatif yang bisa dilakukan serta diharapkan dapat mengurangi masalah timbunan sampah. Mengolah sampah berbahan daun-daun kering menjadi pupuk organik adalah salah satu solusi pencemaran tanah, hal ini dikarenakan kompos adalah dekomposisi bahan-bahan organik atau suatu proses perombakan senyawa yang komplek menjadi senyawa sederhana dengan bantuan dari mikroorganisme. Pelatihan diberikan kepada siswa/siswi SMP negeri 17 Palembang mengenai pembuatan pupuk kompos berbahan daun-daun kering sebagai usaha menghindari penumpukan sampah terutama daun-daung kering sehingga berakibat timbulnya penyakit.
Sistem Penyaluran dan Perhitungan Zakat Fitrah
Authors: Saprida Saprida , Choiriyah Choiriyah
Published: July 2023

Kegiatan sosialisasi pengabdian ini membahas tentang penyaluran dan perhitungan zakat fitrah mulai dari pengertian zakat fitrah, jenis dan perhitungan zakat fitrah, mustahiq zakat fitrah, penyaluran zakat fitrah dan hikmah zakat fitrah. Zakat fitrah adalah sejumlah harta yang wajib dikeluarkan oleh setiap muslim yang memiliki kelebihan makanan pokok bagi dirinya dan orang yang nafkahnya ditanggung olehnya, pada awal bulan Ramadhan sampai menjelang shalat idul fitri dengan tujuan untuk mensucikan jiwa. Tujuan kegiatan sosialisasi ini memberikan pemahaman tentang zakat fitrah terhadap mahasiswa-mahasiswi perbankan dan ekonomi Syariah dengan harapan peserta sosialisasi bisa memahami akan penyaluran zakat fitrah yang baik dan benar sesuai ketentuan syariat Islam. Peserta sosialisasai juga bisa mengetahui bahwa zakat fitrah dapat mensejahterakan masyarakat yang kurang mampu.