Pengelolaan Pembelajaran Bahasa Inggris di Bidang Reading Comprehension Skill

The purpose of the research is to describe about the management of English teaching-learning in reading comprehension skill at the Junior High School number 15 of South Bengkulu. The research used qualitative descriptive method. The subjects of this research were principals, vice principals, English Teacher and students at the Junior High School Number 15 of South Bengkulu. The techniques of the collecting data were observation, interview, and documentation study. The results of the study show that: planning was planned successfully, implementation was done appropriate with the planning, evaluation was done continually, the follow up in the English Teaching-Learning Management in Reading Comprehension Skill was done well at the Junior High School Number 15 South Bengkulu

Supervisi Pengajaran dengan Pendekatan Direktif, Non-direktif, dan Kolaboratif

The purpose of this study is generally to describe the implementation of supervision approach teaching with the directive, non-directive, and collaborative carried principals to teachers in Public Junior High School Number 13 Lubuklinggau. This study uses descriptive qualitative research. The research subjects were the source of reference data, the principal, vice curriculum, and teachers. The data collection technique used is through interview, observation and documentation. Step analysis of data through data reduction, data presentation, and conclusion or verification

Kepemimpinan Transformasional Kepala SMP

This research is aimed to describe the implementation of transformational leadership in Junior High School 4 of South Bengkulu. Especially, this research describes: (1) personnels' comprehension and meaning on transformational leadership; (2) visions of principal's transformational leadership; (3) implementation of aspects of transformational leadership; and (4) obstacles faced in the implementation of aspects of transformational leadership.The design/method of this research is descriptively qualitative. The subject are personels of Secondary/Junior High School 4 of South Bengkulu. The techniques of collecting the data in this research were used interviews, observations, and study of documents. The data was analyzed by elaborating data, displaying data, and making conclution. The results show that (1) personnels' comprehension and meaning on transformational leadership is good and important; (2) visions of school principal are good and qualified; (3) the implementation of transformational leadership covers all four aspects (and all four aspects of transformational leadership were implemented in all six school administration aspects, namely budget, facilities, curriculum, students, personnels, and public relation; and (4) the obstacles faced in the implementation are non-technical and technical ones

Pengaruh Satisfaction, Trust dan Confidence Benefit terhadap Customer Commitment pada Produk Taplus BNI (Studi Kasus pada PT. Bank Negara Indonesia (Persero) Tbk Kantor Cabang Utama Musi Palembang )

There has been considerable concern about how ongoing consolidation in financial systems around the world will affect competition. Indeed, much of the recent public debate seems to assume that perfect competition in banking is ideal. Such a thing will force each bank to understand how to make their customers satisfied. This research was aimed to examine how trust and confidence benefit on customer commitment affect the customer\u27s satisfaction. To understand this isntance, questionnaires were distributed to the target respondents. Samples were taken using convenience sampling. Total respondents of 100 were obtained. Using both descriptive and statistical analysis, results were obtained. Regression analysis was implemented. Based on partial analysis, results showed that trust and confidence benefit have significant influence to the customer commitment, while satisfaction do not provide a significant influence to the customer commitment . Finally on the basis of the finding, recomendations that is to improve and to maintain the performance of independent variables (trust and confidence benefits) and especially on the confidence benefit variable have been made

HYBRYDOWY, BINARNY ALGORYTM WOA OPARTY NA TRANSMITANCJI STOŻKOWEJ DO PROGNOZOWANIA DEFEKTÓW OPROGRAMOWANIA

Reliability is one of the key factors used to gauge software quality. Software defect prediction (SDP) is one of the most important factors which affects measuring software's reliability. Additionally, the high dimensionality of the features has a direct effect on the accuracy of SDP models. The objective of this paper is to propose a hybrid binary whale optimization algorithm (BWOA) based on taper-shape transfer functions for solving feature selection problems and dimension reduction with a KNN classifier as a new software defect prediction method. In this paper, the values of a real vector that represents the individual encoding have been converted to binary vector by using the four types of Taper-shaped transfer functions to enhance the performance of BWOA to reduce the dimension of the search space. The performance of the suggested method (T-BWOA-KNN) was evaluated using eleven standard software defect prediction datasets from the PROMISE and NASA repositories depending on the K-Nearest Neighbor (KNN) classifier. Seven evaluation metrics have been used to assess the effectiveness of the suggested method. The experimental results have shown that the performance of T-BWOA-KNN produced promising results compared to other methods including ten methods from the literature, four types of T-BWOA with the KNN classifier. In addition, the obtained results are compared and analyzed with other methods from the literature in terms of the average number of selected features (SF) and accuracy rate (ACC) using the Kendall W test. In this paper, a new hybrid software defect prediction method called T-BWOA-KNN has been proposed which is concerned with the feature selection problem. The experimental results have proved that T-BWOA-KNN produced promising performance compared with other methods for most datasets.Niezawodność jest jednym z kluczowych czynników stosowanych do oceny jakości oprogramowania. Przewidywanie defektów oprogramowania SDP (ang. Software Defect Prediction) jest jednym z najważniejszych czynników wpływających na pomiar niezawodności oprogramowania. Dodatkowo, wysoka wymiarowość cech ma bezpośredni wpływ na dokładność modeli SDP. Celem artykułu jest zaproponowanie hybrydowego algorytmu optymalizacji BWOA (ang. Binary Whale Optimization Algorithm) w oparciu o transmitancję stożkową do rozwiązywania problemów selekcji cech i redukcji wymiarów za pomocą klasyfikatora KNN jako nowej metody przewidywania defektów oprogramowania. W artykule, wartości wektora rzeczywistego, reprezentującego indywidualne kodowanie zostały przekonwertowane na wektor binarny przy użyciu czterech typów funkcji transferu w kształcie stożka w celu zwiększenia wydajności BWOA i zmniejszenia wymiaru przestrzeni poszukiwań. Wydajność sugerowanej metody (T-BWOA-KNN) oceniano przy użyciu jedenastu standardowych zestawów danych do przewidywania defektów oprogramowania z repozytoriów PROMISE i NASA w zależności od klasyfikatora KNN. Do oceny skuteczności sugerowanej metody wykorzystano siedem wskaźników ewaluacyjnych. Wyniki eksperymentów wykazały, że działanie rozwiązania T-BWOA-KNN pozwoliło uzyskać obiecujące wyniki w porównaniu z innymi metodami, w tym dziesięcioma metodami na podstawie literatury, czterema typami T-BWOA z klasyfikatorem KNN. Dodatkowo, otrzymane wyniki zostały porównane i przeanalizowane innymi metodami z literatury pod kątem średniej liczby wybranych cech (SF) i współczynnika dokładności (ACC), z wykorzystaniem testu W. Kendalla. W pracy, zaproponowano nową hybrydową metodę przewidywania defektów oprogramowania, nazwaną T-BWOA-KNN, która dotyczy problemu wyboru cech. Wyniki eksperymentów wykazały, że w przypadku większości zbiorów danych T-BWOA-KNN uzyskała obiecującą wydajność w porównaniu z innymi metodami

Environmental and Health Impact of Small-Scale Gold Mining Activities in Ibanda District of Uganda

In the recent past, artisanal small-scale gold mining activities in Kicuzi Subcounty, Ibanda District, Uganda, have had a severe influence on the environment and people's health. The study investigated the environmental and health impacts of small-scale. The questionnaires of 156 respondents were given to the Ibanda District's surrounding areas. The findings demonstrated that p-value is substantially associated with perception and the surroundings (p < 0.0005). The finding also demonstrates that p-value is substantially connected with the environment and health (p< 0.0005). The findings revealed that diarrhoea, skin illness, and injuries are the most common ailments in the population. As can be observed from the results, 75% of health workers admit that the health system in this municipality is not equipped to deal with mining-related health issues

Multiset proximity spaces

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Extraction and Characterization of Peppermint (Mentha piperita) Essential Oil and its Assessment as Antioxidant and Antibacterial

ABSTRACT       The aim of this study is to extract and characterize peppermint essential oil and assess it as antioxidant and antibacterial activity. The extraction processes, chemical composition, total phenolic contents (TPC), total flavonoid contents (TFC), antioxidant and antibacterial activity were studied. The oil was extracted by three methods: steam distillation, solvent and soxhelet.  The results indicated that the highest oil extraction was obtained by soxhelet method 1.5±0.12 and 1.2±0.12 ml/100 gm and the lowest result recorded by steam distillation 1.1±0.09 and 0.9±0.14 ml/100gm from fresh and dry samples, respectively. The chemical composition of fresh and dry sample were determined by using gas chromatography and the results showed that there were 26 components of volatile compounds were identified in the essential oil isolated from peppermint. The antibacterial potential of mint essential oils was evaluated by Muller Hinton agar well diffusion method against selected bacteria. The essential oils showed higher activity against Staphylococcus aureus and Salmonella 19±1.41 and 16.5±2.12 mm, respectively, for fresh sample and showed lower activity against Escherichia coli and Klebsilla pneumonia 8.5±0.70 mm and nil, respectively, for dry sample. The TPC of fresh and dry samples were 14.00±0.12 and 8.80±0.09 mg /kg, respectively. TFC of the mint essential oil was determined in comparison with rutin were 8.1±0.09 and 5.0±0.07mg/kg, for fresh and dry sample, respectively. The results showed decrease in peroxide value at 30, 60, 90, 120 and 150 min compared with blank sample without essential oil for wet and dry mint. DPPH inhibition percentages were recorded and inhibition concentrations at 50% activity (IC50) were 0.651±0.09, 0.683±0.6 and 0.161±0.07 mg/mL for wet, dry samples and standard respectively. It can be recommended that further study on sensory analysis of food products containing mint essential oil to evaluate its acceptability and shelf life.

Optimizing the rheological properties of silica nano-modified bentonite mud using overlaid contour plot and estimation of maximum or upper shear stress limit.

An optimization based statistical (response surface) approach was used to evaluate the rheological properties of bentonite mud treated with silica nanoparticles. The overlaid contour plot established the feasible region for the various factor settings from multiple regression equations. The steepest method was used to further determine the optimal factor settings for minimum rheological properties and this was established at 6.3 wt.% bentonite content and 0.94 wt.% silica nanoparticles. The rheological properties of the bentonite mud containing and without silica nanoparticles was evaluated using a Hyperbolic (new) model and related with other oil industry based models: Herschel Bulkley, Sisko, Casson. The hyperbolic rheological model estimated the rheological behaviour of the nano-modified mud satisfactorily while also predicting a shear stress limit for the nano-modified mud. The maximum shear stress limit values for 6.3, 13 and 15 wt.% mud were 14.59, 61.74 and 107.4 Pa respectively. Upper shear stress values obtained from a 1.5 wt.% silica nanoparticle modified 6.3, 13 and 15 wt.% bentonite mud were 22.27, 72.62 and 171.3 Pa respectively, which represents an increment of 34.5 to 37.4% in the upper limit of shear stress. The effect of silica nanoparticles on the upper shear stress limit was quantified using a response surface design