بشیر احمد کٹھوری
صدحیف کہ پچھلے دنوں ہماری بزم انس ومحبت کاایک اوررکن ہم سے بچھڑ گیا۔ یعنی مولانا بشیر احمدصاحب کٹھوری المعروف بہ بھٹہ نے طویل علالت کے بعد وفات پائی۔ مولانا نے اگرچہ علوم عربیہ اوردرس نظامی کی سیوہارہ، امروہہ اور مرادآباد میں باقاعدہ تکمیل کی تھی۔لیکن ان کوکبھی ان علوم کے ساتھ اشتغال یاان کے درس کاموقع نہیں ملا۔اس لیے نتیجہ کے اعتبارسے ان کوباقاعدہ وباضابطہ عالم کہنا بھی مشکل ہے۔لیکن دماغ اورذہن بلا کا رساپایا تھا۔ذہانت اور جودتِ طبع کایہ عالم تھاکہ اگروہ علوم دینیہ واسلامیہ میں مشغول رہتے تومولانا عبیداﷲ سندھی بنتے۔ اور اگر انگریزی تعلیم حاصل کرلیتے تو سرعلی امام یاسر فضل حسین سے کم نہ رہتے۔ بڑے بڑے علما اور انگریزی تعلیم یافتہ حضرات کی مجلسوں میں جب کسی موضوع پرتقریر کرتے تھے تواپنے منطقی استدلال اور برہانی طرزِ بیان سے چھاجاتے تھے اور پھراُن کی تردید کرناآسان نہیں رہتاتھا۔معاش کے لیے انھوں نے کاروبار کاراستہ اختیار کیااور اس میں اپنی ذہانت اورمحنت سے اس درجہ ترقی کی کہ مٹی سے سونا پیدا کرنے لگے۔ اپنی اینٹوں سے سیکڑوں شاندار عمارتیں کارخانے اورفیکٹریاں بنا ڈالیں۔لیکن خودہمیشہ مزدوروں کی طرح کام کرتے رہے اور انھیں کی طرح رہتے رہے۔ خلقِ خداکی خدمت کاان میں بے پناہ جذبہ تھا۔جوشخص بھی ان کے پاس جس کام کے لیے پہنچ جاتاتھا ان کے درسے مایوس نہیں لوٹتا تھا۔ جمعیۃ علمائے ہندکے اعلیٰ طبقہ سے تعلق رکھتے تھے۔اوران کا اس جماعت میں بڑا وقار اور امتیاز تھا۔کانگریس کے بھی بڑے بااثر اورسر گرم کارکن تھے۔تحریک خلافت اورپھر تحریک آزادی کے زمانہ میں کئی بارجیل گئے جس سے ان کی صحت اورکاروبار کوبڑانقصان پہنچا۔لیکن ان کے جوش،سرگرمی اور ولولۂ کار میں کبھی فرق نہ آیا۔قلب ودماغ کی ان خوبیوں کے ساتھ ان میں اخلاقی جرأت بھی کچھ کم نہیں تھی۔ صوبہ اتر پردیش کی کونسل...
This research is motivated by the ups and downs in the quality of employee performance at PT Enseval Putera Megatrading Pekanbaru Branch from 2020 to 2022. Based on the formulation of the problems that have been made, this study aims to determine the effect of compensation and work environment on employee performance at PT Enseval Putera Megatrading Pekanbaru Branch This research is a type of quantitative research. The sample used in this study were employees of PT Enseval Putera Megatrading Pekanbaru Branch as many as approximately 52 people. Sampling technique by means of Simple Random Sampling. With data collection through observation, interviews, questionnaires and literature studies. The analysis technique in this study uses Multiple Linear Regression Analysis. This study uses multiple linear regression with the help of the SPSS Ver program. 21.00. The results of this study, compensation has a positive effect on employee performance. This is evident from the results of the t test which obtained t count X1 greater than t table, namely the value of t count (7.467) greater than t table (2.010) accepted at a significance level of 5%. The work environment has a positive effect on employee performance. This is evident from the results of the t test which obtained the t count X2 greater than the t table, namely the t value (7.484) greater than the t table (2.010), accepted at the 5% significance level. Compensation and work environment together have a positive effect on employee performance. This is evident from the results of the F test which shows the results of the F count of (415.672) greater than the F table of (3.19) accepted at the 5% significance level. Islamic economic review of the effect of compensation and work environment on employee performance at PT Enseval Putera Megatrading Pekanbaru branch can be categorized as sharia based on ijarah contract.
Modeling of high strength and wear resistance aluminum alloy based casting of composite material developed via conventional foundry method which is one of the most economical versatile and active research area and so for has not been thoroughly investigated. Due to complex nature of the composite materials and their related problems such as the nonlinear relationship between composition, processing parameters, heat treatment with the strength and abrasive wear, resistance can more efficiently be modeled by artificial neural networks. The artificial neural networks modeling requires sufficient data concerned with chemical composition , processing parameters and the resulting mechanical properties which were not available for such type of modeling. Therefore, a wide range of experimental work was conducted for the development of aluminum composites using conventional foundry method. Alloy containing Cu-Mg- Zn as matrix and reinforced with 1- 15 % Al 2 O 3 particles were prepared using stir casting method. The molten alloys composites were cast in metal mold. More than eighty standard samples were prepared for tensile tests and sixty samples were given solution treatment at 580 0 C for 1⁄2 hour and tempered at 120 0 C for 24 hours. Various characterization techniques apparatus such as X-ray Spectrometer, Scanning Electron Microscope, Optical Metallurgical Microscope, Universal Tensile Testing Machine, Vickers Hardness and Abrasive Wear Testing Machine were used to investigate the chemical composition, microstructural features, density, tensile strength, ductility (elongation), hardness and abrasive wear resistance. xixThese investigations including the material development and characterization were used for data generations as needed for modeling of high strength and abrasive wear résistance aluminum cast composites. For modeling purpose a multilayer perceptron (MLP) feedforward was developed and back propagation learning algorithm was used for training, testing and validation of the model. The modeling results shows that an architecture of 14 inputs with 9 hidden neurons and 4 outputs which include the tensile strength, elongation, hardness and abrasive wear resistance gives reasonably accurate results with an error within the range of 2-7 % in training, testing and validation. The modeling results shows that an alloy contents 2-3 % Cu, 2-3 % Mg, 3-5 % Zn reinforced with 10 % Al 2 O 3 can successfully be developed for highest strength (297 MPa) and highest abrasive wear résistance (0.4 gm weight loss /15 minutes using stir casting method. The modeling results also suggest that it is possible to develop the highest strength 466 MPa tensile strength and highest abrasive wear resistance aluminum alloy based casting composite materials having the matrix composition of 6 % Si, 2 % Mg with 3 % Zn reinforced with 2-5 % Al 2 O 3 particles.