ANALYSIS CLASIFICATION FACTORS OF WORK PRODUCTIVITY AMONG TEACHERS DURING WFH ( WORK FROM HOME ) BASED ON DECISION TREE

The COVID-19 pandemic since its inception at the end of December in China and entering Indonesia in March 2020 has had many impacts on the world of employment, including in the realm of education. The COVID-19 pandemic has also had a strong impact on work productivity. Various different backgrounds ranging from work tenure, latest education level and emotional intelligence make the level of work productivity at SMPN 1 Tembelang quite varied. This research aims to analyze the classification factors that affect teacher work productivity during WFH. The type of research used is analytic observational with a cross sectional approach. This research was conducted at SMP Negeri 1 Tembelang Jombang with a sample of 45 people. Data analysis is done by Decision Tree. The results of the accuracy of the model testing generated from the training data to the testing data show that the accuracy value is 65.67%. The classification of high productivity levels is found in the group of teachers who have a long work tenure, mature age and high emotional intelligence. While the classification of medium productivity is dominated by groups of teachers with medium work tenure and adult age. It is recommended to conduct training and mentoring of online learning programs to improve skills and expertise for teachers, especially those who have who have a medium work tenure and classified as elderly.


INTRODUCTION
The COVID-19 pandemic since its According to Seran et al. (2021), the quality of the work of educators has not been satisfactory enough because online learning is currently mostly only through the Whatsapp application which makes students not understand the material presented by the teacher and ultimately affects the satisfaction of the performance of the teaching staff which decreases (3). In addition, teachers also experience difficulties in managing the timeliness of the teaching and learning process during the pandemic. Even though the teacher has directed the students to collect assignments on time, there are still some who are late in collecting them. The cause of the difficulty in managing punctuality does not only come from the students, but also from the teacher. Teachers sometimes start and end lessons not according to the specified time.
Educators complained about several things as outlined in Basar's (2021) research, including not conveying material properly to students due to network disturbances so that students did not understand the material well, besides that there were also educators who could not operate online learning media because not keeping up with technological developments (4). Furthermore, the teacher will use monotonous learning media such as through the Whatsapp application due to the lack of skills in using varied online learning media. The Whatsapp application is not an application that is specifically intended as a distance learning medium, which of course makes this application have limited features.
The teacher will usually send a video or video link for the students to watch and even just order them to read the material in the book.
According to Prawanti & Sumarni (2020), this will make students easily bored with the teaching and learning process (5). According to Rudiansyah (2014), employee work tenure has a positive influence on productivity because the longer the employee's work tenure, the more experience they have so that their expertise also increases (11). This means that the more experience employees have, the more performance or output for the company. Another study conducted by Firmansyah (2013) states that workers aged between 20-40 years are workers who have high productivity (12). Emotional intelligence is also one of the factors that affect employee productivity. Based on research by Yudianto & Indah (2017), it is known that the higher the emotional intelligence of employees, the higher their productivity because without adequate emotional intelligence, a person will easily get out of control and cannot develop the potential that exists within them (13).
The COVID-19 pandemic has also had a strong impact on work productivity. The changes experienced by workers from previously working from school to WFH make workers feel pressured, plus if the company or agency where they work does not provide sufficient facilities to work from home (14).  Decision tree is an algorithm method for modeling decision making like a tree. Decision tree analysis carried out in this study was carried out using training data as much as 70% of the total data contained in the database. After   Studies in the field based on Table 1 shows that the age of teachers at SMP Negeri 1

RESULTS AND DISCUSSION
Tembelang is mostly at the age of 46 years to 65 years as many as 30 people (66.7%) are included in the elderly category. The highest productivity tends to be owned by SMPN teachers who are mature (productive) and have a long work tenure. According to Aprilyanti (2017), the productive age is between the ages of 20 to 40 years (16). Age is related to work productivity. The more a person ages, the person will enter a productive age and will experience a decrease in productivity when he gets older due to health and physical factors (17 (2015) states that the level of education is not related to work productivity (28). People think that education has little effect on the work they do.  (3).

CONCLUSION AND SUGGESTION
The resulting model in the decision tree analysis is high enough to predict high and medium productivity. Classification high work productivity is dominated by teachers group who have a long tenure, mature age and have high emotional intelligence. Therefore, it is recommended for schools to conduct training to improve teacher skills and assistance in implementing distance learning, especially for teachers who have a medium work tenure and the elderly who are not accustomed to adapting online learning models.