The low quality of education in Indonesia has something to do with the low quality of teacher. Meanwhile, facing the challenge of 4.0 era, teacher is supposed to prepare the student to have the competencies and master the information and technology. Thus, professional teacher is absolutely needed in order to increase the quality of education. To solve this problem, the government conduct the Teacher Professionalism Improvement Program (PPG). This study is aimed at investigating the pros and cons in applying the online PPG daljab for Female teachers in Aceh province. This study is conducted through the qualitative approach, interview, observation and documentation. The subjects of this study are consisting of four female teachers, three online facilitators. Whilst, the data analysis techniques were conducted through the Miles and Hubberman models. The result of this study shows that there are two supporting factors in the success of the implementation of online PPG for the female Acehnese teachers. First, the support is from the online group members and then the second is from the support from the family members in operating the Information and Technology (IT) related issues. Meanwhile, the cons factors are the disability of the teacher to operate the laptop, poor internet connection, lack of focuses due to the teaching tasks at school, and the teacher motivation in mastering the IT and applying it in the teaching learning process. Therefore, it can be concluded that the program evaluation and IT training for in- service PPG are absolutely required. It is essential to conduct an IT empowerment for the pre- training teacher in the basis of the network availability and age. Key Word: Certified Teachers, Professional Teacher, Improving the Quality of Education, Inservice Training, Online Learning

Paper is generally made of cellulose fibers derived from wood raw materials. Increased demand for production will have an impact on forest exploitation which can lead to environmental stability. Alternative natural fibers containing cellulose fiber are biomass waste such as Galangal Stems (Alpinia Galanga), Pineapple Leaves (Ananas Cosmosus), Banana Stems (Musa Paradisiaca), and others. The use of natural fibers can reduce the exploitation of wood as a raw material for paper. The purpose of this study was to determine the effect of natural fibers consisting of galangal stems, pineapple leaves, banana contains, and waste paper on the tensile strength of paper using ANOVA. The ratio of the percentage of fiber passed is galangal stems 50:10 and 50:40, pineapple leaves 50:10 and 50:40, banana contains 50:10 and 50:40, and waste paper 100% or without comparison. Tensile strength was carried out according to ASTM-D638, then data processing was carried out using the One Way ANOVA method. The results showed that the highest tensile strength value of banana stem paper and waste paper with a ratio of 50:10 was obtained at 7.04262 MPa resulting in the best tensile strength compared to other fibers. Factors that affect the tensile strength are the length of the fiber, and the bonds between the fibers are related to the fiber content. The results of this study concluded that the greater the number of material components in the manufacture of recycled paper, the greater the tensile strength of the report produced.

Palm oil mill is a palm oil and palm kernel processing industry which is a semi-finished product. The palm oil industry is currently growing rapidly in line with the demand for large quantities of CPO and Kernal and their derivatives. In its operation, it is always faced with various risks, from the field to the processing plant. These risks will cause losses to the factory, especially in the form of financial. From the results of field observations obtained 13 kinds of supply chain risks, namely damaged trucks, FFB not up to standard, damaged FFB, insufficient FFB, network error, FFB damaged in the sorting field, boiling problems, problematic polisyndrom, abnormal steem, abnormal processes. /stops, viber cyclone plugs and leaks pipe. Therefore, it is necessary to identify, measure and manage risks to reduce losses caused by supply chain risks. The method used in this study is the MAFMA (Multi Attribute Failure Mode Analysis) method. The MAFMA method is a development of the FMEA method. The results showed that the risk level value contained 4 critical risks on the part of the factory, namely FFB less with a risk level value of 0.096, FFB not according to standards with a risk level value of 0.085, network error with a risk level value of 0.083 and the process running abnormally. /stop with a risk level of 0.073. These 4 critical risks are the priority to be handled. The handling carried out is planning for the right FFB procurement, providing guidance on the harvesting process, stabilizing the network by providing copper rods and planning machine scheduling.