scholarly journals Desain Pengembangan Aktivitas Kemahasiswaan dengan Pendekatan Psychological Capital dalam Meningkatkan Minat dan Kemampuan Berwirausaha Mahasiswa Fakultas Ekonomi

2015 ◽  
Vol 4 (2) ◽  
pp. 211
Author(s):  
M. Irfani Hendri ◽  
Indarti Rochayati ◽  
M. Fahmi
Keyword(s):  
Psychological Capital ◽  
Analysis Data ◽  
Family Education ◽  
Student Activities ◽  
Self Confidence ◽  
Education Environment ◽  
Mental Change ◽  
Wide Range ◽  
Collection Methods

This paper is to describe what has been done by the Faculty of Economics UNTAN in growing interest and entrepreneurship skills among students through student activities and currentevaluation tried to offer a development design of student activities with the approach ofpsychological capital that includes (1) the existence of self-confidence (self confidence); (2)positive attribution (optimism); (3) resistance in achieving its objectives with the ability toredefine the path to reach the goal with the ability to redefine the path to peak at the destination ifrequired (hope); and (4) when facing problems and difficulties, able to survive and continueforward (resiliency) to achieve success. The approach taken in this study is qualitative, type ofresearch is a case study. For purposes of analysis, data can be collected using triangulation ofdata collection methods which involves observation, interview documentation and Focus GroupDiscussion (FGD). It can be concluded that the hardest thing in the printing of an entrepreneur isthe mental change that is formed because of the mindset that the synergy of a wide range of ourdaily interactions (family, education, environment, etc.). It is an attempt to solve the mentalproblem needs to be a synergy of various growth entrepreneurship program that has a good andconcrete step in creating the entrepreneurs.

Data and Case Study Research in Accounting and Finance

2016 ◽  
Author(s):  
Roza Sagitova ◽  
Darren Jubb ◽  
Anees Farrukh ◽  
Angeliki Papachroni ◽  
Sean Lochrie
Keyword(s):  
Data Collection ◽  
Case Study Research ◽  
Direct Impact ◽  
Research Projects ◽  
Collection Method ◽  
Study Approach ◽  
Wide Range ◽  
Conducting Research ◽  
Collection Methods

This chapter represents the first stage in the gathering of data for research projects and introduces some of the factors that influence the choice of data collection methods. Different areas of accounting and finance research have different traditions for conducting research, which will have a direct impact on the researcher’s choice of data collection method. The chapter then proceeds with case study approach to collecting data, an approach that utilises a wide range of data sources and techniques. The chapter discusses the strength, difficulties and practicalities of using that approach in a research project.

scholarly journals Exploration of Local Wisdom-Based Physics Learning Resources in the COKSACAR Case Study

Variabel ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 67
Author(s):  
Ulfi Meiyana ◽  
Rizki Ardiawan ◽  
Fiqoh Khoeriyah ◽  
Ahmad Khoiri ◽  
Sri Jumini ◽  
...  
Keyword(s):  
Risk Taking ◽  
Learning Resources ◽  
Learning Resource ◽  
Descriptive Research ◽  
Self Confidence ◽  
Entrepreneurial Spirit ◽  
Qualitative Descriptive ◽  
Viscosity Fluid ◽  
Collection Methods

<em>Research objectives were to (1) Know the exploration of learning resources based on local wisdom; (2) To find out that local wisdom can be used as a learning resource in Viscosity material; (3) How to grow the entrepreneurial spirit with learning resources based on local wisdom. Qualitative descriptive research method with inductive and deductive analysis techniques. Data collection methods used documentation and participatory observation. The results showed that: (1) The form of exploration of learning resources based on local wisdom in the Wonosobo area was carried out with processed food products, namely COKSACAR. COKSACAR is a processed product of Carica fruit combined with chocolate. (2) The process of making COKSACAR as a learning resource for viscosity, namely the basic concepts and factors that affect viscosity in the form of the chocolate dough viscosity, fluid substances, the temperature in chocolate processing, and additives in the chocolate dough. (3) Learning resources based on local wisdom using COKSACAR can grow the entrepreneurial spirit, including (a) Motivation through the promotion of COKSACAR products. (b) Able to cultivate self-confidence, result-oriented, risk-taking, leadership, future-oriented, and able to find original and creative and innovative ideas. Learning resources that utilize the local potential of COKSACAR can foster a spirit of learning and train students' entrepreneurial spirit</em>

scholarly journals IMPLEMENTATION OF 2 STAY 2 STRAY MODEL IN LEARNING THE CONCEPT OF α, β, AND γ RADIATIONS

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Kana Puspita ◽  
Muhammad Nazar ◽  
Rakhmi Fitriana
Keyword(s):  
Cooperative Learning ◽  
Student Learning ◽  
Student Response ◽  
Learning Activities ◽  
Student Centered ◽  
Student Activities ◽  
Self Confidence ◽  
Lecture Material ◽  
A Value

The two stay two stray cooperative learning model basically emphasizes students to work together in groups, and provides opportunities for groups to share the results and information obtained with other groups, so that the learning process will be student-centered. This study aims to achieve optimum student learning activities through the application of the Two Stay Two Stray (TSTS) model in learning the concepts of alpha, beta and gamma rays, and to describe the student's response to the TSTS cooperative learning that has been implemented. The method used is quantitative with the pre-experimental research model type one shot case study. A total of 26 students taking radiochemistry courses were the subjects of this study. Research data were collected through student activity observation sheets during lectures and a student response questionnaire consisting of 10 statements. The results of observations on student activities show that the aspect of explaining in the lecture material, the aspect of cooperation between colleagues, and the activity of answering questions, respectively, have a value of 86, 85 and 90 percent. In general, students' positive responses to the application of the TSTS model were 95%. From the research results, it can be concluded that the implementation of TSTS is very effective in increasing student learning activities, making students happy in learning, and fostering self-confidence in learning.

Site specific agricultural soil management with the use of new technologies

2013 ◽  
Vol 16 (1) ◽  
pp. 59-67
Keyword(s):  
New Technologies ◽  
Digital Interface ◽  
Appropriate Treatment ◽  
Wide Range ◽  
Soil Variation ◽  
Soil Information ◽  
Remote Sensing Techniques ◽  
Agricultural Areas

<p>The Soil Science Institute of Thessaloniki produces new digitized Soil Maps that provide a useful electronic database for the spatial representation of the soil variation within a region, based on in situ soil sampling, laboratory analyses, GIS techniques and plant nutrition mathematical models, coupled with the local land cadastre. The novelty of these studies is that local agronomists have immediate access to a wide range of soil information by clicking on a field parcel shown in this digital interface and, therefore, can suggest an appropriate treatment (e.g. liming, manure incorporation, desalination, application of proper type and quantity of fertilizer) depending on the field conditions and cultivated crops. A specific case study is presented in the current work with regards to the construction of the digitized Soil Map of the regional unit of Kastoria. The potential of this map can easily be realized by the fact that the mapping of the physicochemical properties of the soils in this region provided delineation zones for differential fertilization management. An experiment was also conducted using remote sensing techniques for the enhancement of the fertilization advisory software database, which is a component of the digitized map, and the optimization of nitrogen management in agricultural areas.</p>

ANALISIS KINERJA ASURANSI SYARIAH MENGGUNAKAN PENDEKATAN MASLAHAH SCORECARD (Studi Kasus Pada PT. Asuransi Takaful Umum)

2020 ◽  
Vol 1 (1) ◽  
pp. 108-125
Author(s):  
Jaharuddin Jahar ◽  
Melia Rostiana ◽  
R Melda Maesarach
Keyword(s):  
Measurement Data ◽  
Secondary Data ◽  
Process Performance ◽  
Measuring Process ◽  
Case Study Design ◽  
Quantitative And Qualitative Research ◽  
A Value ◽  
Takaful Insurance ◽  
Collection Methods

The purpose of this study was to decide the elements of performance at PT. General Takaful Insurance, to find out how to measure performance using the scorecard approach that is by measuring process performance and results performance, and interpreting in the form of conclusions. In this study, researchers tested apply maslahah at PT. General Takaful Insurance with a case study design. This research is a type of quantitative and qualitative research because it uses measurement data through formulas and if interpretative qualitative, and the data used are primary and secondary data. Data collection methods used are observation, interviews and documentation. The results showed that PT. General Takaful Insurance received a value of the performance benefit process of 0.7 which indicates that the company simply applied benefits in terms of process performance. And behave the benefit of PT. General Takaful Insurance got a value of 0.89 which shows that the company is quite good in providing benefits to stakeholders and shareholders. Keyword: Performance, Insurance, Scorecard Maslahah

The Effects of Teaching Reflection Diaries on In-Service High School Teachers in Japan

Relay Journal ◽  
2020 ◽  
pp. 80-99
Author(s):  
Naoya Shibata
Keyword(s):  
High School ◽  
High School Teachers ◽  
Illustrative Case ◽  
Teaching Beliefs ◽  
Experienced Teacher ◽  
Female Teachers ◽  
Self Confidence ◽  
Research Findings ◽  
Illustrative Case Study

Although teaching reflection diaries (TRDs) are prevalent tools for teacher training, TRDs are rarely used in Japanese secondary educational settings. In order to delve into the effects of TRDs on teaching development, this illustrative case study was conducted with two female teachers (one novice, and one experienced) at a Japanese private senior high school. The research findings demonstrated that both in-service teachers perceived TRDs as beneficial tools for understanding their strengths and weaknesses. TRDs and class observations illustrated that the novice teacher raised their self-confidence in teaching and gradually changed their teaching activities. On the other hand, the experienced teacher held firm teaching beliefs based on their successful teaching experiences and were sometimes less willing to experiment with different approaches. However, they changed their teaching approaches when they lost balance between their class preparation and other duties. Accordingly, although teachers’ firm beliefs and successful experiences may sometimes become possible hindrances from using TRDs effectively, TRDs can be useful tools to train and help teachers realise their strengths and weaknesses.

Validated Stability Indicating HPTLC Method for the Estimation of Amoxapine in Different Stress Conditions

2019 ◽  
Vol 15 (3) ◽  
pp. 273-279
Author(s):  
Shweta G. Rangari ◽  
Nishikant A. Raut ◽  
Pradip W. Dhore
Keyword(s):  
High Performance ◽  
Limit Of Detection ◽  
Degradation Products ◽  
Analysis Data ◽  
Peak Height ◽  
Good Resolution ◽  
Stability Indicating ◽  
Limit Of Quantitation ◽  
Wide Range ◽  
Hptlc Method

Background:The unstable and/or toxic degradation products may form due to degradation of drug which results into loss of therapeutic activity and lead to life threatening condition. Hence, it is important to establish the stability characteristics of drug in various conditions such as in temperature, light, oxidising agent and susceptibility across a wide range of pH values.Introduction:The aim of the proposed study was to develop simple, sensitive and economic stability indicating high performance thin layer chromatography (HPTLC) method for the quantification of Amoxapine in the presence of degradation products.Methods:Amoxapine and its degraded products were separated on precoated silica gel 60F254 TLC plates by using mobile phase comprising of methanol: toluene: ammonium acetate (6:3:1, v/v/v). The densitometric evaluation was carried out at 320 nm in reflectance/absorbance mode. The degradation products obtained as per ICH guidelines under acidic, basic and oxidative conditions have different Rf values 0.12, 0.26 and 0.6 indicating good resolution from each other and pure drug with Rf: 0.47. Amoxapine was found to be stable under neutral, thermal and photo conditions.Results:The method was validated as per ICH Q2 (R1) guidelines in terms of accuracy, precision, ruggedness, robustness and linearity. A good linear relationship between concentration and response (peak area and peak height) over the range of 80 ng/spot to 720 ng/spot was observed from regression analysis data showing correlation coefficient 0.991 and 0.994 for area and height, respectively. The limit of detection (LOD) and limit of quantitation (LOQ) for area were found to be 1.176 ng/mL and 3.565 ng/mL, whereas for height, 50.063 ng/mL and 151.707 ng/mL respectively.Conclusion:The statistical analysis confirmed the accuracy, precision and selectivity of the proposed method which can be effectively used for the analysis of amoxapine in the presence of degradation products.

Oxford Studies in Ancient Philosophy, Volume 55

2018 ◽  
Keyword(s):  
Middle Ages ◽  
Ancient Philosophy ◽  
Recent Book ◽  
Loss Of Control ◽  
Ancient Greek ◽  
Original Essays ◽  
Constant Change ◽  
Wide Range ◽  
Metaphysical Principle

Oxford Studies in Ancient Philosophy provides, twice each year, a collection of the best current work in the field of ancient philosophy. Each volume features original essays that contribute to an understanding of a wide range of themes and problems in all periods of ancient Greek and Roman philosophy, from the beginnings to the threshold of the Middle Ages. From its first volume in 1983, OSAP has been a highly influential venue for work in the field, and has often featured essays of substantial length as well as critical essays on books of distinctive importance. Volume LV contains: a methodological examination on how the evidence for Presocratic thought is shaped through its reception by later thinkers, using discussions of a world soul as a case study; an article on Plato’s conception of flux and the way in which sensible particulars maintain a kind of continuity while undergoing constant change; a discussion of J. L. Austin’s unpublished lecture notes on Aristotle’s Nicomachean Ethics and his treatment of loss of control (akrasia); an article on the Stoics’ theory of time and in particular Chrysippus’ conception of the present and of events; and two articles on Plotinus, one that identifies a distinct argument to show that there is a single, ultimate metaphysical principle; and a review essay discussing E. K. Emilsson’s recent book, Plotinus.

scholarly journals Site‐specific nitrogen balances based on spatially variable soil and plant properties

2021 ◽  
Author(s):  
Martin Mittermayer ◽  
August Gilg ◽  
Franz-Xaver Maidl ◽  
Ludwig Nätscher ◽  
Kurt-Jürgen Hülsbergen
Keyword(s):  
Soil Properties ◽  
N Uptake ◽  
Nitrate Content ◽  
Site Specific ◽  
Nitrate Losses ◽  
Wide Range ◽  
Reduction Strategies ◽  
Combine Harvester ◽  
Digital Methods ◽  
Collection Methods

AbstractIn this study, site-specific N balances were calculated for a 13.1 ha heterogeneous field. Yields and N uptake as input data for N balances were determined with data from a combine harvester, reflectance measurements from satellites and tractor-mounted sensors. The correlations between the measured grain yields and yields determined by digital methods were moderate. The calculated values for the N surpluses had a wide range within the field. Nitrogen surpluses were calculated from − 76.4 to 91.3 kg ha−1, with a mean of 24.0 kg ha−1. The use of different data sources and data collection methods had an impact on the results of N balancing. The results show the need for further optimization and improvement in the accuracy of digital methods. The factors influencing N uptake and N surplus were determined by analysing soil properties of georeferenced soil samples. Soil properties showed considerable spatial variation within the field. Soil organic carbon correlated very strongly with total nitrogen content (r = 0.97), moderately with N uptake (sensor, r = 0.60) and negatively with N surplus (satellite, r = − 0.46; sensor, r = − 0.56; harvester, r = − 0.60). Nitrate content was analysed in soil cores (0 to 9 m) taken in different yield zones, and compared with the calculated N surplus; there was a strong correlation between the measured nitrate content and calculated N surplus (r = 0.82). Site-specific N balancing can contribute to a more precise identification of the risk of nitrate losses and the development of targeted nitrate reduction strategies.

scholarly journals Assessing the Relation between Mud Components and Rheology for Loss Circulation Prevention Using Polymeric Gels: A Machine Learning Approach

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1377
Author(s):  
Musaab I. Magzoub ◽  
Raj Kiran ◽  
Saeed Salehi ◽  
Ibnelwaleed A. Hussein ◽  
Mustafa S. Nasser
Keyword(s):  
Machine Learning ◽  
Rheological Properties ◽  
Nearest Neighbor ◽  
Drilling Fluid ◽  
Gradient Boosting ◽  
K Nearest Neighbor ◽  
Wide Range ◽  
Machine Learning Approach ◽  
Drilling Operations

The traditional way to mitigate loss circulation in drilling operations is to use preventative and curative materials. However, it is difficult to quantify the amount of materials from every possible combination to produce customized rheological properties. In this study, machine learning (ML) is used to develop a framework to identify material composition for loss circulation applications based on the desired rheological characteristics. The relation between the rheological properties and the mud components for polyacrylamide/polyethyleneimine (PAM/PEI)-based mud is assessed experimentally. Four different ML algorithms were implemented to model the rheological data for various mud components at different concentrations and testing conditions. These four algorithms include (a) k-Nearest Neighbor, (b) Random Forest, (c) Gradient Boosting, and (d) AdaBoosting. The Gradient Boosting model showed the highest accuracy (91 and 74% for plastic and apparent viscosity, respectively), which can be further used for hydraulic calculations. Overall, the experimental study presented in this paper, together with the proposed ML-based framework, adds valuable information to the design of PAM/PEI-based mud. The ML models allowed a wide range of rheology assessments for various drilling fluid formulations with a mean accuracy of up to 91%. The case study has shown that with the appropriate combination of materials, reasonable rheological properties could be achieved to prevent loss circulation by managing the equivalent circulating density (ECD).

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