bluuebunny/crossref_metadata_2025 huggingface dataset:
INVESTIGASI LIFT CYLINDER ROD DRIFT PADA WHEEL LOADER WA 600-3A
Authors: Anhar Wahyu , Faisal Muhammad
Published: May 2021

Produktivitas wheel loader salah satunya ditentukan oleh kinerja sistem hidrolik. Berdasarkan studi kasus terjadi permasalahan pada peralatan kerja wheel loader WA 600-3A Komatsu dengan serial number 52719. Lift cylinder rod pada unit mengalami penurunan (drift) diluar batas standar unit. Permasalahan ini terjadi pada hours meter (HM) unit sebesar HM 6.398. Pengukuran gerak lift cylinder rod, pengamatan visual, data riwayat periodical service (PS) dan trouble, serta hasil analisa oli hidrolik dilakukan untuk menentukan penyebab kerusakan. Berdasarkan hasil pengukuran gerak pada lift cylinder rod bahwa didapatkan hasil ukur sebesar 130 mm/15 menit. Hasil tersebut menunjukkan bahwa telah terjadi penyimpangan nilai gerak sebesar 90 mm dari batas standar unit. Berdasarkan hasil pengamatan visual, bahwa ditemukan keausan pada dinding bagian dalam lift cylinder, wear ring, dan piston ring. Selain itu, ditemukan adanya debris pada komponen return filter dan juga terjadi kebocoran oli hidrolik melalui seal head lift cylinder. Masa pakai oli hidrolik berdasarkan data PS dan trouble unit, bahwa diketahui telah melampui standar masa pakai oli hidrolik. Penggunaan oli hidrolik melampaui standar masa pakai menyebabkan turunnya kemampuan oli untuk melumasi diantara komponen yang saling bergesekan. Internal lift cylinder mengalami gesekan berlebih sehingga terjadi keausan. Akibat adanya keausan tersebut, menyebabkan lift cylinder rod mengalami drift diluar standar unit. Adanya debris akibat keausan dan kontaminasi juga telah ditunjukkan oleh hasil analisa oli hidrolik.
Hydrodynamic studies on liquid-liquid two phase flow separation in microchannel by computational fluid dynamic modelling
Authors: Ting Chue Cui , Laziz Afiq Mohd , Bui Khoa Dang Dang , Nguyen Ngoc Thi Nhu , Bui Pha Ngoc , Dang Khoa Ta , Nguyen An Si Xuan , Hoang Ngon Trung , Shaari Ku Zilati Ku , Phạm Hoàng Huy Phước Lợi
Published: May 2021

Microfluidic systems undergo rapid expansion of its application in different industries over the few decades as its surface tension-dominated property provides better mixing and improves mass transfer between two immiscible liquids. Synthesis of biodiesel via transesterification of vegetable oil and methanol in microfluidic systems by droplet flow requires separation of the products after the reaction occurred. The separation technique for multiphase fluid flow in the microfluidic system is different from the macro-system, as the gravitational force is overtaken by surface force. To understand these phenomena completely, a study on the hydrodynamic characteristics of two-phase oil-methanol system in microchannel was carried out. A multiphase Volume of Fluid model was developed to predict the fluid flow in the microchannel. An inline separator design was proposed along with its variable to obtain effective separation for the oil-methanol system. The separation performance was evaluated based on the amount of oil recovered and its purity. The capability of the developed model has been validated through a comparison of simulation results with published experiment. It was predicted that the purity of recovered oil was increased by more than 46% when the design with side openings arranged at both sides of the microchannel. The highest percentage recovery of oil from the mixture was simulated at 91.3% by adding the number of side openings to ensure the maximum recovery. The oil that was separated by the inline separator was predicted to be at 100% purity, which indicates that no methanol contamination throughout the separation process. The purity of the separated product can be increased by manipulating the pressure drop across the side openings. Hence, it can be concluded that the separation in a large diameter microchannel system is possible and methodology can be tuned to achieve the separation goal. Finally, the simulation results showed that the present volume of fluid model had a good agreement with the published experiment.
Implementation of Liver Disease Prediction Using Machine Learning
Authors: Surya Boggarapu Sai , Singh Nitesh Kumar , Rekha S Sasi
Published: May 2021

This work Liver Disease Prediction Using Machine Learning is a machine learning application. In this project, you predict whether the patient contain a liver disease or not using python Jupyter Notebook. To predict presence of liver disease we apply some of the classification techniques. It gives an idea of how machine learning helps in medical field and how classification techniques going to predict liver disease using liver disease data set.
Review on Smile Detection
Authors: Goswami Anurag , Ramakrishna Ganjigunta , Sethi Dr. Rajni
Published: May 2021

Facial expressions are a result of specific movement of face muscles, and these face expressions are considered as a visible sign of a person’s internal thought process, intensions, and internal emotional states. Smile is such a face expression which often indicates, satisfaction, agreement, happiness, etc. Though, a lot of studies have been done over detection of Facial Expression in last decade, smile detection had attracted researcher for more deeper studies. In this review paper, different type of available smile detection so far has been discussed such as Deep Convolutional Neural Network (CNN), Hidden Marcov Model(HMM), K-Nearest Neighbours(KNN), Self Similarity of Gradient(GSS), Histogram of Oriented Gradients (HOG), Gabor-Energy Filters and Local Binary Pattern(LBP) etc and classifier like HAAR Classifier, Hidden Markov Model(HMM), Adaboost Support Vector Machine (SVM),Softmax Classifier and Extreme Learning Machine(ELM).This review paper will prove beneficial for learning about smile detection and its application.
Recognition of Ancient Tamil Characters from Epigraphical inscriptions using Raspberry Pi based Tesseract OCR
Authors: Magrina M. Merline
Published: May 2021

Optical Character Recognition (OCR) is the process of identification of the printed text using photoelectric devices and computer software. It converts the inscribed text on the stones into machine encoded format. OCR is widely used in machine learning process like cognitive computing, machine translation, text to speech conversion and text mining.OCR is mainly used in the research fields like Character Recognition, Artificial Intelligence and Computer Vision. In this research, the recognition process is done using OCR, the inscribed character is processed using Raspberry Pi device on which it recognizes characters using Artificial Neural Network. This work mainly focuses on the recognition of ancient Tamil characters inscribed on stones to modern Tamil characters belong to 9th and 12th century characters. The input image is subjected to gray scale conversion process and enhanced using adaptive thresholding process. The output image is subjected to thinning process to reduce the pixel size of the image. Then the characters are classified using Artificial Neural Network Architecture and the classified characters are mapped to modern Tamil character using Unicode. The Artificial Neural Network has input layer, hidden layer of 15 neurons and output layer of 1 neuron to classify the characters. The accuracy of the constructed system for the recognition of epigraphical inscriptions is calculated. The above process is carried out in raspbian environment using python process.
A Smart Protection Device
Authors: Gondaliya Savan , Khalak Rahil , Mistry Priyanka , Sibanda Adolf , Patel Keyaben S.
Published: May 2021

Human security is need of the hour in present times. Across the globe, there are many cases of unknown attacks, harassment and molestation. Safety of an individual matters whether it is at home, outdoor or their work place. We propose an idea which changes the way everyone thinks about once individual’s safety, a day when media broadcasts more of achievements rather than harassment. Since we (humans) can't respond rapidly in critical situations, the need for a device which effectively rescues the victim is the venture of our idea in this project. We are proposing Arduino Nano and Alarm Grenade (sonic weapon) based portable device which can be effective in both in network and network outage scenarios. This device can be classified in 3 parts based on functionality.
1. Location Tracking on Device.
2. Alarm Grenade.
3. Application Interface.
Device will be activated with push of a button and track location with onboard GPS while being synchronized with a smartphone via Bluetooth with help of smartphone application. Alarm Grenade will trigger at the moment of pressing button and doesn’t require any communication means to work. SOS message will be broadcasted to nearby police station and Emergency Contacts.
Study on Selection Methods of Parents and Crossover in Genetic Algorithm
Authors: Santhi Dr. K. , Vinodhini Dr. V.
Published: May 2021

Genetic Algorithms are the population based search and optimization technique that mimic the process of Genetic and Natural Evolution. Genetic algorithms are very effective way of finding an Optimized solution to a complex problem. Performance of genetic algorithms mainly depends on various factors such as selection of efficient parents and type of genetic operators which involve crossover and mutation operators etc. This paper will help the people to acquire the knowledge about various strategies of selecting parents and description about standard crossover operators.
Text And Sentimental Analysis On Big Data
Authors: Ahmed Saifuzzafar Jaweed
Published: May 2021

Big Data has become a very important part of all industries and organizations sectors nowadays. All sectors like
energy, banking, retail, hardware, networking, etc all generate a huge amount of unstructured data which is
processed and analyzed accurately in a structured form. Then the structured data can reveal very useful
information for their business growth. Big Data helps in getting useful data from unstructured or heterogeneous
data by analyzing them. Big data initially defined by the volume of a data set. Big data sets are generally huge,
measuring tens of terabytes and sometimes crossing the sting of petabytes. Today, big data falls under three
categories structured, unstructured, and semi-structured.
The size of big data is improving in a fast phase from Terabytes to Exabytes Of data. Also, Big data requires
techniques that help to integrate a huge amount of heterogeneous data and to process them. Data Analysis which is
a big data process has its applications in various areas such as business processing, disease prevention,
cybersecurity, and so on. Big data has three major issues such as data storage, data management, and information
retrieval. Big data processing requires a particular setup of hardware and virtual machines to derive results. The
processing is completed simultaneously to realize results as quickly as possible. These days big data processing
techniques include Text mining and sentimental analysis.
Text analytics is a very large field under which there are several techniques, models, methods for automatic and
quantitative analysis of textual data. The purpose of this paper is to show how the text analysis and sentimental
analysis process the unstructured data and how these techniques extract meaningful information and, thus make
information available to the various data mining statistical and machine learning) algorithms.
Time Series Analysis of Profitability : A Study of Selected Infrastructure Sector Companies in India
Authors: Gujjar J Praveen , Kumar V Naveen
Published: May 2021

A nation's economic development has link with many sector groups. All the sector groups draw their basic facilities from the infrastructure sector. Infrastructure is needed for development of any country, roads, railways, power, telecom, education, water supply, sanitation constitute infrastructure. This paper deals profitability analysis of ten selected Indian infrastructure sector companies. The annual data of the selected companies is obtained from the Capital Line Database. Selected infrastructure companies for the analysis are Burnpur Cement, Dalmia Cement, Deccan Cement, Godrej Property, Mangalam Cement, Puravankara, Sagar Cements, Shah Alloys, Surya Roshni, Tata Steel. Further, Ratios calculation is related to Operating Profit Margin, Gross Profit Margin, Net Profit Margin, return on Assets, return on Shareholders’ funds, Assets Turnover, Fixed Assets Turnover, Shareholder Funds Turnover, Current Assets Turnover, Net Current Assets Turnover. Result shows that there is significant difference in the financing pattern of different sectors. Financing of each sector is unique, and they have to be handled uniquely.
A Comprehensive overview of AR/VR by Writing in Air
Authors: Kaur Harneet , Reddy Busireddy Guru Saran , Sai Guna Chanukya , Raj Akula Srujan
Published: May 2021

The research is all about how often people could identify alphabets and numbers written in the open air. A leap motion captures motion trajectory information and plots it as a continuous stream of points. Lines would be combined and major slopes identified from the major points. Significant slopes are converted into directions by the use of geometry. Slope orientation is another name for this. Slope Alignment Sequence is a list of slope orientations that are used to individually depict Alphanumeric Letters. In this experiment, Dependency injection OpenCV is used to sketch on the camera with a virtual pen, i.e. any marker may be used to draw using the contour detection technique centered on the mask of the desired cultured reference marker. If you're a beginner who wants to enthuse your fellow members with a visual demonstration, the application user will be identified by the system until the produced slope direction sequence matches the system's comparison slope alignment sequence. In the algorithm's matching process, the sets and subsets process is used. The researchers suggested a new approach for classifying Alphabetic Chars written in the air in this article. The outcome of the experiment shows that the suggested approach is reliable.
Secure Sharing of Data for Dynamic Group in Cloud Storage Application
Authors: Cheelu Dr. Dhanaraj , Maheswari K. V. Uma
Published: May 2021

Data sharing is increasingly important for many users and sometimes an essential requirement, especially for industries and society’s used to gain proceeds. Sharing group resource among cloud users is a major problem, still the data privacy leak. The existing system Group Key Management method used for sharing Key Generation and distribution in the group member or users. Sometimes change to user one group to another group, the group key to enable authenticated users to access the files securely and efficiently is still a challenging problem. This problem to avoid that sharing data in group using the Time Based Group Key Management (TGKM) techniques for cryptographic cloud storage application , which Conditional Identity Based Broadcast Proxy Re-Encryption (CIBPRE) used to transforming the data’s(files) major process in cloud server. To Key Generation method for user a time based dynamic group Key which capably to make stronger in cloud security. Generally, security and performance evaluated that the proposed scheme is highly efficient and satisfies the security requirements for cloud based application.
Sistem Pendeteksi Keasaman dan Warna Urine sebagai Indikasi Dini Dehidrasi
Authors: Sutarna Nana -
Published: May 2021

Dehidrasi merupakan suatu kondisi kekurangan cairan tubuh karena jumlah cairan yang keluar lebih banyak daripada jumlah cairan yang masuk. Dampak dehidrasi akan beresiko mengalami obesitas dan penurunan konsentrasi. Dehidrasi juga mempengaruhi fungsi kemampuan kognitif otak dan memori seseorang. Dehidrasi akut harus dihindari mengingat bahaya yang ditimbulkannya bagi kesehatan. Tes paling sederhana untuk dehidrasi adalah dengan melihat warna urin. Namun warna urin juga bisa dipengaruhi oleh asupan makanan tertentu. Pada penelitian ini dirancang suatu sistem perkemihan yang dilengkapi dengan sensor warna dan sensor pH. Sensor pH H-101 dan sensor warna TCS3200 digunakan dalam penelitian ini. Sensor pH ditambahkan untuk menghindari kesalahan deteksi urin akibat kesalahan pembacaan warna urin. Sensor TCS3200 diklasifikasikan dalam level warna RGB (Merah, Biru, Hijau). Urin dideteksi dengan tingkat warna atau keasaman pH sebagai masukan untuk menentukan tingkat dehidrasi. Hasil deteksi urin seseorang ditampilkan di layar LCD. Hasil pengukuran menunjukkan bahwa semakin asam atau dominan warna R dan G urin seseorang maka semakin tinggi tingkat dehidrasinya. Batas tingkat hidrasi seseorang jika keasaman urin memiliki pH <6.
Uji Termoelektrik Generator Dengan Memanfaatkan Media Lapisan Timah Sebagai Penyerap Panas Matahari
Authors: Saputra Zanu , Nofriyani Nofriyani , Ocsirendi Ocsirendi , Almahmudy Muhammad Naufal , Handayani Sunita
Published: May 2021

Listrik menjadi sumber energi utama yang paling penting dan dibutuhkan manusia sehingga meningkatkan penggunaan listrik saat ini. Dari peningkatan tersebut, maka harus memanfaatkan sumber energi alternatif dengan memanfaatkan suhu panas sinar matahari. Salah satu teknologi pemanfaatan panas sinar matahari adalah termoelektrik. Tujuan penelitian ini adalah pengujian rancangan pembangkit listrik alternatif menggunakan termoelektrik untuk mengetahui berapa besar tegangan, arus keluaran serta suhu pada bagian heat side dan cold side. Penggunaaan termoelektrik generator ini menggunakan 14 modul peltier dengan tipe TEG-SP1848. Sensor DS18b20 waterproof digunakan agar dapat membaca suhu di kedua sisi perantara TEG sisi panas dan sisi dingin agar lebih aman karena bersifat anti air. Pengujian menggunakan media penyerap panas sinar matahari ditambahkan pasir timah ataupun tanpa ditambahkan pasir timah hasil yang didapatkan antara selisih beda suhu tidak jauh berbeda yaitu rata-rata 0.7ºC. Pengambilan data dilakukan setiap 30 menit sekali dengan hasil tegangan output tertinggi 1 volt dan arus sebesar 1.1mA yang terjadi pukul 13:30 WIB.
Analisis Penerapan Sistem K3 terhadap Kinerja Proyek Jalan Tol Cijago Seksi 2B PT Hutama Karya
Authors: Yunika Yunika
Published: May 2021

Recognizing the importance of occupational safety and health (K3) in order to provide a sense of security and prevent work accidents so as to increase morale or performance of other workers. The study discusses the effect of the application of occupational safety and health (K3) on the performance of construction project workers. Companies are requested to immediately apply the new Occupational Safety and Health (K3) standards as stated in the Minister of Manpower Regulation (Permenaker) No.5 of 2018 concerning K3. Employers and Management who do not meet the provisions in this Ministerial Regulation are subject to sanctions in accordance with the Law Number 1 of 1970 concerning Work Safety and Law Number 13 of 2003 concerning Employment. On this occasion the researchers used quantitative methods and the research was conducted at the Cijago Depok toll road during working hours. The average weighting value is 84%, so it can be said that the application of the safety management system and occupational health (SMK3) on the Cijago toll road section 2 B project has been running quite well and effectively. However, in this study, several variables have the lowest score and can affect project performance. Therefore, these variables will be given preventive variables including is variable which has a weight of <76%, namely: X13 which is a variable with the statement "The company presents the results of measurements of noise, vibration, temperature, dust to ensure the implementation of K3 is going well and correctly" therefore according to expert opinion there is a need for preventive measures. The variable that can affect project performance is the variable that has the highest weighting, X17 regarding "OHS regulations and procedures needed" with a weighting of 89% means that project performance is influenced by project workers who feel safe if there are OHS regulations and procedures required that are clearly described and as evidenced by the increase in the S curve
¡Nunca más solas! Acoso sexual, tsunami feminista, y nuevas coaliciones dentro y fuera de las universidades chilenas
Authors: Hiner Hillary , López Dietz Ana
Published: May 2021

Durante los últimos cuarenta años ha habido una cantidad no menor de estudios sobre acoso sexual en las universidades del Norte Global.  No obstante, hay relativamente poco sobre el acoso sexual dentro de universidades latinoamericanas. Este artículo explora el caso chileno, adonde, desde el 2015 en adelante existe una cantidad cada vez más grande de denuncias por acoso sexual en las universidades. Como resultado, en el año 2018 aconteció el “Tsunami Feminista”, liderado por estudiantes feministas. En este artículo ocuparemos fuentes de prensa, entrevistas y grupos de discusión hechos con estudiantes y activistas feministas, para analizar el Tsunami Feminista y el acoso sexual en las universidades. A la misma vez, también exploraremos algunas de las resistencias desarrolladas por estudiantes, académicas y profesionales feministas dentro y fuera de las universidades, a la hora de plantear estrategias y coaliciones anti-acoso. Nuestra hipótesis plantea que fue justamente la emergencia de coaliciones y redes diversas, entre estudiantes, académicas, y profesionales feministas, que asentó las bases para una denuncia potente anti-acoso dentro de las universidades y un frente feminista intergeneracional fuerte en torno esta temática, poco trabajada hasta ese momento.
Universidades generizadas y mercantilizadas. Implicancias para las mujeres trabajadoras en tiempo de pandemia
Authors: Reyes Pérez Lury Soledad , Burdiles Cisternas Carmen Gloria , Jerez Yánez Jessica Carolina , Zazo Moratalla Ana
Published: May 2021

Este artículo busca conocer las experiencias de las mujeres trabajadoras de una universidad pública y estatal, en un espacio laboral generizado y mercantilizado, en el contexto de pandemia. Para esto, a través de una metodología cualitativa, se desarrollaron cuatro grupos focales con participación de académicas, administrativas y trabajadoras a honorarios. El análisis realizado constata la presencia de estructuras patriarcales que reifican las relaciones tradicionales de género, un agobio y sobrecarga que afecta a todas. Sin embargo, las experiencias son disímiles, dependiendo de la calidad contractual y funciones que se realizan en su interior. Finalmente, se propone a las universidades la elaboración de políticas sensibles al género, para mitigar las consecuencias de la pandemia en las trabajadoras.
The Quality of Annual General Meeting Minutes of Listed Companies in Malaysia
Authors: Mohd Ariffin Mohd Shazwan , Wan Hussin Wan Nordin , Abdul Malak Siti Seri Delima
Published: May 2021

The annual general meeting (AGM) minutes act as an integral part of a good disclosure and transparency in delivering corporate information. Through the content of AGM minutes, shareholders can have an overview of the company's performance. The paper examines the in- depth context of the AGM minutes of listed companies in Malaysia. Using the content analysis, a self-constructed checklist was developed to measure the quality of AGM minutes of listed companies in Malaysia. A sample of 115 AGM minutes from various sectors listed in Bursa Malaysia for the financial year ended December 31, 2016, was reported. The results indicate that the quality of AGM minutes discloses by listed companies relatively low consistent with the prior literature that sought for more exploration on the AGM. Using SPSS version 24, a descriptive analysis was presented in this paper. The low level of AGM minutes' disclosure among Malaysian listed companies suggests that these companies merely disclose within the mandatory requirements. The initiative by the Minority Shareholder Watch Group (MSWG) encourages more disclosure cause listed companies to disclosure additional information such as AGM minutes' content. The result of this study provides meaningful information, especially on the quality of AGM minutes' disclosure in Malaysian listed companies, which remained largely unexplored. The study provides insight contribution of the quality AGM minutes on the corporate website prior implementation of Companies Act 2016.
Contribution of the Application of Learning Methods and Learning Activities to the Results of Islamic Religious Education of SMP Swasta Sei Bejangkar
Authors: Ananda Rusydi , Iskandar Muhammad
Published: May 2021

This study aims to identify and describe: (1) the positive and significant contribution of the application of the learning method to the learning outcomes of Islamic Religious Education, (2) the positive and significant contribution of learning activities to the learning outcomes of Islamic Religious Education, and (3) the positive and significant contribution of the application. Learning methods and learning activities together on the learning outcomes of Islamic Religious Education?.The research was conducted at the Sei Bejangkar Region Private Junior High School. This research is a quantitative study with a correlation research method. The population in this study was all students of class VIII which consisted of 2 classes with a total of 72. All students were used as research samples. The data collection instruments used was questionnaires and tests. The data analysis used is correlation and regression. The research findings show: (1) there is a positive and significant contribution between the application of learning methods and learning outcomes with a correlation number of 0.354 with the regression line equation Ŷ = 71.60 + 0.23 X1, (2) there is a positive and significant contribution between learning activities and outcomes. Learn with the correlation number 0.473 with the regression line equation Ŷ = 68.96 + 0.28X2. and (3) there is a positive and significant contribution between the application of learning methods and learning activities with learning outcomes with a correlation number of 0.549 with the regression line equation Ŷ = 138.80 + 0.18X1 + 0.25X2. The effective contribution of the variable application of learning methods to learning outcomes is 9.90%, while the effective contribution of learning activity variables to learning outcomes is 20.00%.
Online Learning Evaluation during Covid-19 using CSE-UCLA Evaluation Model at English Education Department Universitas Kristen Indonesia
Authors: Naibaho Lamhot
Published: May 2021

This research is about the online learning evaluation during covid-19 using the CSE-UCLA evaluation model. It is was aimed to evaluate the implementation of online learning during COVID-19. This research was done at Universitas Kristen Indonesia (UKI) using a qualitative approach with an evaluative study design is the CSE-UCLA evaluation model design. The subjects of this study were lecturers and students and were taken through purposive sampling. The instruments used in this research were questionnaires and interviews, observations, and documentation. The data analysis technique used in evaluating online learning use at the UKI is based on the assessment system components, program planning, program implementation, program improvement, and including good criteria, in terms of quality level improvement programs including good program certification. The study's result was that, in general, the quality level of the online learning used at the UKI is already in good criteria. When viewed from the component system assessment level of quality including good criteria, in terms of quality level planning program including good criteria, in terms of quality level implementation of the program criteria, and when viewed from quality level certification programs also include good criteria.
The Effect of Inflation, Exchange, SBI Interest Rate and Dow Jones Index on JCI on IDX 2013 – 2018
Authors: Hasanudin Hasanudin
Published: May 2021

This analysis aims to display inflation, exchange rates of currencies, SBI, and the Dow Jones Index on IHSG and IDX from 2013 to 2018. Quantitative testing approaches using the SmartPLS 3 technology and Structural Equation Modeling (SEM) analysis techniques. Inflation has a large positive effect on the JCI. Which indicates that as inflation rises, the JCI value falls. Exchange rates significantly impact the JCI. Therefore, the exchange rate indicator directly affects the path of the high exchange rate, which reduces the JCI figure. The SBI rate has no Impact and negative on JCI. This means JCI would not be affected by the increased number of SBI interest rates. For the Dow Jones Index, the JCI is significantly positive. Which suggests that the Dow Jones index's rise has an effect on the JCI. The Dow Jones Index has the most impact on work motivation, at 0.982, in contrast to the inflation, exchange rate, and SBI interest rate variables against the IHSG of IDX from 2013 to 2018.
Accountability Analysis of the Performance of the Regional Development Planning Agency (BAPPEDA) of Muara Enim Regency, Indonesia
Authors: Nadjib Abdul , Bafadhal Oemar Madri
Published: May 2021

This study aims to determine the performance accountability of the Regional Development Planning Agency (BAPPEDA) of Muara Enim Regency in 2017, including supporting factors and inhibiting factors. Accountability for the performance of regional apparatus is needed to measure the level of success and or failure of regional apparatus in achieving common goals and targets according to the performance targets set in the district RPJMD. This research was conducted with a qualitative approach and using descriptive analysis. The data collection technique used interview, observation, and documentation methods. The results showed that the performance accountability of BAPPEDA Muara Enim Regency in 2017 was very good, which was shown by the existence of excellent performance planning, performance measurement, performance reporting, internal evaluation, and performance achievements. The supporting factors for the performance of BAPPEDA in Muara Enim Regency are the existence of a strong team work, the development of achievement motivation, consistent monitoring and supervision of leaders and conducive organizational conditions that support the development of employee creativity and innovation. Meanwhile, the inhibiting factor felt by BAPPEDA employees was the absence of a special performance allowance for high workloads. This can lead to counter-productive and demotivating employees. It is recommended that in the future, consider the existence of a special performance allowance for the employees of BAPPEDA Muara Enim Regency and make BAPPEDA as a role model for performance development for other Regional Apparatus Organizations in Muara Enim Regency.
Jenang Karomah Marketing Strategy and Its Impact on Women's Purchase Intention
Authors: Friyanni Yulia
Published: May 2021

Jenang Karomah is a business brand that has been established for 24 years to experience the dynamics of sales ups and downs. It is estimated that there is a link between variables of marketing strategy and service quality, especially for women buyers. This variable encourages researchers to research more about marketing strategies which include product, price, place, promotion. This study aims to analyze the marketing strategy of Jenang Karomah in Kudus and their impact on women's buying interest. The research method used in this study is a qualitative method, namely observation and interviews as data collection techniques. The results found four strategies developed by Jenang Karomah. First, the product strategy; packing with a good color, shape and brand, although still found packaging that is less tidy or defective. Second, place strategy; Jenang Karomah is located near the Kudus City Center where the majority of the community are also jenang sellers which results in competition to attract women buyers. Third, pricing strategies; Jenang Karomah fluctuates prices, especially during the moments of the big day before Lebaran or celebration which results in women's buying interest becoming very selective. Fourth, promotion strategies; Jenang Karomah has done offline promotions, but lacks promotion based on internet technology, namely social media such as YouTube, Instagram, Facebook, and Twitter which are widely used by young women as potential buyers. Four strategies developed by Jenang Karomah have influenced women's buying interest in Kudus City. The research method used in this study is qualitative with a descriptive analytical approach.
Implementation of Islamic Economic Values in Online Transactions
Authors: Kamiruddin Kamiruddin , Hardianti Hardianti , Farida Ida
Published: May 2021

This study examines the implementation of Islamic values in online transactions. This study aims to determine the readiness of the Raisa Collection in applying Islamic values, to determine the application of Islamic values in the Raisa Collection in online transactions, to determine the application of Islamic values in the Raisa Collection in online transactions to be used on an ongoing basis, and to determine constraints. - Constraints experienced by Raisa Collection in applying Islamic economic values in online transactions. The research method used is qualitative research using field research using data collection techniques that include observation, interviews, and documentation. The analysis technique used is descriptive analysis techniques. The results showed that: (1) Raisa Collection has tried to apply Islamic values since the beginning of its business, even though it has used bank funds. (2) In conducting its business, Raisa Collection always prioritizes customer satisfaction and continues to serve complaints from consumers. The author's implications for the Raisa Collection owner are; (1) Maintain the principles or values of Islamic economics implemented. (2) Adding sales products.
Influence Capital Structure, Liquidity, Size the Company, Debt Policy and Profitability towards Corporate Value on Property Company, Real Estate and Building Construction Listed on the Stock Exchange Indonesia Period 2016-2019
Authors: Wijaya Albert , Juliana Juliana , Avelina Valen
Published: May 2021

Property issuers must be prepared to face another year of sluggish market where after three years there has been a continuous cycle of weakness. The purpose of this research is to see the influence. Capital Structure, Liquidity, Company Size, Debt Policy and Profitability against Company Value in property companies, re-evaluation and construction of buildings listed on the Indonesia Stock Exchange for the 2016-2019 Period. Quantitative research approach. This type of descriptive quantitative research. The nature of this research is due and effect / causal. The population in this study were 83 types of property, real estate, and building construction companies listed on the Indonesia Stock Exchange for the 2016-2019 Period. The sample is 23 companies. The result is that the capital structure has no partial effect on company value in companies, real estate and building construction listed on the Indonesia Stock Exchange for the 2016-2019 Period. Liquidity does not partially affect the value of property, real estate and building construction companies listed on the Indonesia Stock Exchange for the 2016-2019 period. The size of the company does not have a partial effect on the value of the company in property, real estate and building construction listed on the Indonesia Stock Exchange for the 2016-2019 period. The debt policy does not have a partial effect on company value in property, real estate and building construction listed on the Indonesia Stock Exchange for the 2016-2019 period. Profitability has a partial effect on company value in property, real estate, and building construction listed on the Indonesia Stock Exchange for the 2016-2019 period. Capital structure, liquidity, company size, debt and profitability simultaneously influence the value of the company in property, real estate and building construction listed on the Indonesia Stock Exchange for the 2016-2019 period.
Performance and mineral metabolism of broiler replacing commercial diet by rice polish and supplementation of citric acid
Authors: Islam KMS , Debi MR , Liesegang A
Published: May 2021

During an experimental period of 28 days citric acid (CA) was tested as a growth promoter instead of antibiotics with replacement of commercial diet by rice polish (RP). Newly 240 hatched broiler chicks (Cobb 500) distributed into eight dietary groups (3 replicate cages having 10 birds in each), 1=Control (commercial diet), 2=Commercial diet+0.5% CA, 3=5.0% RP, 4=5.0% RP+ 0.5% CA, 5=10.0% RP, 6=10.0% RP+0.5% CA, 7=15.0% RP, 8=15.0% RP+0.5% CA. Diets were supplemented by acid insoluble ash (1.0% Celite) as marker. At the end, blood sample was collected from all birds. Total ash, mineral content and density of tibia were determined. Final body weight (g/b) of chicks were 1655, 1733, 1642, 1694, 1618, 1656, 1613 and 1631 g, respectively (P>0.05). Feed intake (g/bird) was 2359, 2419, 2432, 2433, 2524, 2494, 2519 and 2424 g, respectively (P>0.05). FCR varied (P<0.05) among the groups were 1.48, 1.44, 1.54, 1.49, 1.62, 1.55, 1.62 and 1.54, where better FCR was in CA groups comparison to non-CA groups. Retention of Ca, P and Mg increased in CA group’s comparison to non-CA groups but replacement of 5.0% commercial diet (with or without CA) caused higher retention level. Higher dressing percentage observed in CA group (65.4, 65.9 for group 2, 4) comparison to non-CA groups (63.8, 63.9 for groups 1, 3). Bone mineral concentration (total ash, Ca, P and Mg) slightly increased in CA groups (P>0.05). In general, replacement of a commercial diet by RP up to 15.00% would be possible maintaining growth performance of broiler where further supplementation of 0.5% CA showed more advantages by increasing mineral density of bone.

Bang. J. Anim. Sci. 2020. 49 (2): 159-165
Synthesis and Characterization of Some Mannich Base Analogues of Ciprofloxacin: Antibacterial, Antifungal, and Cytotoxic Activities
Authors: Rabbani M. G. , Islam M. R.
Published: May 2021

The present work contains synthesis of six Mannich base analogues of ciprofloxacin 2-7 those have been prepared by the Mannich reaction to investigate some therapeutic assessment. The structure of the analogues has been established by FT-IR, 1H NMR, 13C NMR, mass spectroscopy, and elemental analysis techniques. The derivatives were screened for their antimicrobial activities by the disc diffusion method. The antimicrobial activity of the analogues compared with the parent was evaluated against three Gram-positive, eight Gram-negative bacterial strains, and three different fungal strains. The synthesized compounds showed diverse antimicrobial profiles among which derivatives 2, 3 & 6 possessed enhanced activity in contrast to the ciprofloxacin. Additionally, unlike ciprofloxacin, most of the derivatives were found to demonstrate antifungal activity against Candida albicans.  Cytotoxicity was also made against brine shrimp lethality assay. Interestingly, most of the derivatives revealed enhanced cytotoxic activity than that of ciprofloxacin.
Critical Review on Effect of 5G Technology on Covid-19 and Human Health Issues
Authors: Sedani B. S. , Kotak N. A. , Borisagar K. R.
Published: May 2021

This analytic research paper discusses the effects of emerging futuristic 5th Generation (5G) cellular technology over human health. The technology is growing with three major advantages of high speed, lower latency and to connect more devices at the same time. In the recent pandemic event of Covid-19, many believe that for the achievement of high speed in 5G, it will be required to have high power and this high power will decrease the immune system in short term. But actually, the reality doesn’t support the above condition. This paper defines how the speed will increase with the help of low bit error rate and also through different useful techniques thereby not just by increasing the power. In addition of high-frequency 5G radiation to an already complex mix of lower frequencies, the implementation will contribute to a negative public health outcome both from physical and mental health perspectives to a certain extent.
Cryptanalysis of Zhian Zhu’s Scheme and Evaluation of TMIS Smart Card Authentication Schemes
Authors: Nayak P. , Pippal R. S.
Published: May 2021

The security for Telecare Medicine Information Systems (TMIS) is extremely vital. In this context, numerous TMIS-based authentication schemes have been introduced, however different types of attacks and inefficiencies render these schemes inappropriate for this scenario. This paper investigates various TMIS-based authentication schemes present in the literature. It additionally compares these schemes based on computation cost and potential security attacks. Further, it also demonstrates that Zhian Zhu’s scheme is inaccurate as the server fails to approve and validate the login request message of a user in the authentication phase.
An Assessment of in vitro Antioxidant Potential of Camelina sativa L. Seed Oil and Estimation of Tocopherol Content using HPTLC Method
Authors: Pathak R. , Mohsin M. , Mehta S. P. S
Published: May 2021

The present study was aimed to analyze the physicochemical properties of Camelina sativa L. seed oil in order to identify its utilization as a primary feedstock for biofuel production. Efforts were also made to identify and quantify the amount of α- tocopherols in Camelina seed oil and evaluated in vitro antioxidant potential of Camelina sativa seed oil and were compared with α–tocopherol standard. Physicochemical properties such as oil yield content (36.66 %), less acid value (5.39 mg KOH/g) make it a prominent feedstock for biodiesel production.  Saponification value (182.66 mg KOH/g) also makes this oil useful in soap and cosmetic industries. To check in vitro antioxidant potential of Camelina seed oil H2O2, DPPH and ABTS were used as free radical inducers. Oil showed remarkable inhibition potential of trapping these free radicals. Tocopherol content was analyzed through HPTLC. Camelina sativa seed oil was found to contain 59.34 mg/100 g of tocopherol content. It is evident from this study that Camelina oil has high antioxidant potential and there is no need to add other antioxidant substances in the products formed by using Camelina sativa seed oil.
On the Sandor-Smarandache Function
Authors: Islam S. M. S. , Gunarto H. , Majumdar A. A. K.
Published: May 2021

In the current literature, a new Smarandache-type arithmetic function, involving binomial coefficients, has been proposed by Sandor. The new function, denoted by SS(n), is named the Sandor-Smarandache function. It has been found that, like many Smarandache-type functions, SS(n) is not multiplicative. Sandor found SS(n) when n (≥3) is an odd integer. Since then, the determination of SS(n) for even n remains a challenging problem. It has been shown that the function has a simple form even when n is even and not divisible by 3. This paper finds SS(n) in some particular cases of n, and finds an upper bound of SS(n) for some special forms of n. Some equations involving the Sandor-Smarandache function and pseudo-Smarandache function have been studied. A list of values of SS(n) for n = 1(1)480, calculated on a computer, is appended at the end of the paper.
Two Warehouse Inventory Model for Deteriorating Items with Ramp Type Demand and Price Discount on Backorders
Authors: Chandra S.
Published: May 2021

In this paper, a two warehouse inventory model for deteriorating items is studied with ramp type demand rate. Holding cost of rented warehouse has higher than the owned warehouse due to better preservation facilities in rented warehouse. Due to the improved services offer in rented warehouse, the deterioration rate in rented warehouse is less than deterioration rate in owned warehouse. When stock on hand is zero, the inventory manager offers a price discount to customers who are willing to backorder their demand. The study includes some features that are likely to be associated with certain types of inventory, like inventory of seasonal fruits and vegetables, newly launched fashion items, etc. The optimum ordering policy and the optimum discount offered for each backorder are determined by minimizing the total cost in a replenishment interval.
Droplet and Aerosol Suspension Times in Ambient Air in Confined Spaces and Transmission of COVID-19: Influence of Environmental Factors
Authors: Islam M. R. , Naqib S. H.
Published: May 2021

The COVID‑19 pandemic, alternatively known as the coronavirus pandemic, is an unfolding pandemic of coronavirus disease 2019 (COVID‑19) across the entire globe in an unprecedented proportion. COVID-19 is caused by severe acute respiratory syndrome coronavirus 2. The mode of transmission of COVID-19 is a subject of intense research. The airborne transmission is one prime possibility. Breathing and talking are natural processes which generate exhaled particles. The exhaled air is an aerosol/droplet composed of naturally produced particulates of varying size. The duration over which the aerosols/droplets are suspended in the air is an important factor. Long suspended aerosols/droplets are potential source of transmission, particularly in confined spaces. We have calculated times of suspension by considering various environmental factors, namely, the ambient temperature and relative humidity in a confined space, in this work. Both temperature and relative humidity affect the suspension time of the exhaled aerosols/droplets with varying degree. The effects of environmental factors are significant for aerosols, particularly for those with small radii. We have discussed the possible implications of our findings in this paper.
Joint Modeling for Longitudinal Data with Missing Values: A Bayesian Perspective on Human Intelligence
Authors: Gokul T. , Srinivasan M. R.
Published: May 2021

Joint modeling in longitudinal data is an interesting area of research since it predicts the outcome with covariates that are measured repeatedly over the time. However, there is no proper methodology available in literature to incorporate the joint modeling approach for count-count response data. In addition, there are several situations where longitudinal data might not be possible to collect the complete data and the Missingness may occur due to the absence of the subjects at the follow-up. In this paper, joint modelling for longitudinal count data is adopted using Bayesian Generalized Linear Mixed Model framework to understand the association between the variables. Further, an imputation method is used to handle the missing entries in the data and the efficiency of the methodology has been studied using Markov Chain Monte-Carlo (MCMC) technique. An application to the proposed methodology has been discussed and identified the suitable nutritional supplements in Bayesian perspective without eliminating the missing entries in the dataset.
Bioethanol Production of Cellulase Producing Bacteria from Soils of Agrowaste Field
Authors: Thomas A. , Laxmi M. , Benny A.
Published: May 2021

With decades of studies on cellulose bioconversion, cellulases have been playing an important role in producing fermentable sugars from lignocellulosic biomass. Copious microorganisms that are able to degrade cellulose have been isolated and identified. The present study has been undertaken to isolate and screen the cellulase producing bacteria from soils of agrowaste field. Cellulase production has been qualitatively analyzed in carboxy methylcellulose (CMC) agar medium after congo red staining and NaCl treatment by interpretation with zones around the potent colonies. Out of the seven isolates, only two showed cellulase production. The morphogical and molecular characterization revealed its identity as Escherichia coli and Staphylococcus aureus. The potential of organisms for bioethanol production has been investigated using two substrates, namely, paper and leaves by subjecting with a pre-treatment process using acid hydrolysis to remove lignin which acts as physical barrier to cellulolytic enzymes. Ethanolic fermentation was done using Saccharomyces cerevisiae for 24-48 h and then the bioethanol produced was qualitatively proved by iodoform assay. These finding proves that ethanol can be made from the agricultural waste and the process is recommended as a means of generating wealth from waste.