Teaching and learning process using mobile application becomes one of alternative tools to substitute face-to-face learning during Pandemic Covid-19. The lecture process during the period has been experienced since March 2020 until the end of the even semester of the academic year 2019/2020. There were various obstacles felt by lecturers and students in the courses. Under normal conditions, learning Arabic as a foreign language is still faced with various problems. Since, there are no specific studies in this issues that have been conducted by experts for Indonesian context, we are interested to identify the perception of students and lecturers on the quality of Arabic teaching and learning process. This research uses qualitative method where the sources of data are students and lecturers of Arabic language education study program Faculty of Islamic Studies, Muhammadiyah University of West Sumatra. The data collection taken from interview by phone. The finding showed that the students and lecturers' perceptions of the quality of the online learning process are negative. Then, students’ and lecturers' perceptions of the quality of online Arabic learning outcomes are negative.

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Nuclei segmentation of the epithelial cells of a Pap smear image is an important step in order to have correct morphometric measures. This task is non trivial due to the complexities of the Pap smear images. Our paper presents a novel method on nuclei segmentation using morphological operation and watershed transformation. The proposed segmentation method was evaluated with respect to its nuclei area and its shape-similarity in comparison to the pathologist truth. It showed that the segmentation results are promising and it can be used for further analysis such as cell quantification or abnormality cell detection.

Posyandu activities are one of the Government's efforts to provide health services to the community. Posyandu activities are carried out in the village and supported by Posyandu cadres. In Bimomartani Village Posyandu activities were carried out well in 12 hamlets. Here, Posyandu activities have not been supported by information technology-based facilities. This community service activity aims to improve the cadres' skills in using information technology applications to improve the quality of service to the community. The method used is training on the implementation of a web-based and Android-based Posyandu Information System in Bimomartani Village. The main activity of this activity is training the two systems for Cadres and Village Midwives. The training results for the Android-based Posyandu Information System are easier to use than the web-based Posyandu Information System. Their frequency of using a smartphone causes them to be skilled at using smartphones rather than using laptops, because 92% of cadres are housewives. Experience as a Posyandu Cadre also increases the speed of cadres in using the Posyandu Information System. Cadres who have more than 5 years experience are easily responsive in providing data input for each item that must be filled. Based on input from Cadres and Midwives, additional features are needed on this system. This is in accordance with the information needs to be

Information technology provides a lot of convenience for humans in completing their tasks and getting results according to targets. In line with that, language teachers have a duty to find out the level of language skills and forms of language errors in students. Machine Learning as part of technology can be maximized to detect forms of Arabic speaking error in students. This study was conducted with a qualitative approach. Data were collected via SIAKAD machine learning containing Arabic videos. Based on the results, the SIAKAD machine learning uncovered several Arabic speaking errors such as grammar, pronunciation, shifat al-huruf, vowels, word expression, and concatenated sentences. Therefore, machine learning with various types can be maximized in Arabic learning which ultimately leads to technological developments that must be accompanied by the ability of teachers to be skilled in operationalizing technology.  Keywords: Arabic Language Education; Machine Learning; Speaking Errors