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All Journal Communications in Science and Technology Prosiding Seminar Nasional Official Statistics PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Yunarso Anang
Politeknik Statistika STIS
Humanities Computer Science & IT Economics, Econometrics & Finance Engineering Social Sciences

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A proposal of system for device capability assessment in bring your own device (BYOD) environment of computer assisted personal interviewing Aditya Abdulmunaf Rosnah; Yunarso Anang
Communications in Science and Technology Vol 3 No 2 (2018)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (502.659 KB) | DOI: 10.21924/cst.3.2.2018.91

Abstract

Statistics Indonesia, known in Indonesia as Badan Pusat Statistik (BPS), has conducted a series of trials to utilize Computer-Assisted Personal Interview (CAPI) in a census or survey. However, CAPI costs a lot of money to procure and maintain the device. Bring Your Own Device (BYOD) principle offers cost opportunity to device management. In the practice of BYOD in BPS, a device that has good performance is required, because some devices aren’t capable of running CAPI properly. Yet, in BPS there is no standard value to qualify mobile devices to be used in census or survey. Therefore, it is necessary to review what kind of device is suitable for using CAPI. This study utilized CAPI used in a student’s field study as a case study reference. Initially, researchers develop benchmark applications as a tool for feasibility. Furthermore, developed application is tested on a certain base device to calculate the scores to be used as the standard values.
Pembangunan Sistem DataLab BPS untuk Pengolahan Data Mikro Bagus Almahenzar; Yunarso Anang
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1638

Abstract

Data from censuses and surveys conducted by the Central Statistics Agency are urgently needed in various fields, one of which is in projects carried out by government agencies or researchers. The purpose of this research is to build a system that is used in microdata processing. This system provides microdata access to data users but users do not get these microdata files which can be taken home and cannot be accessed at any time through the user's device. Users can only do processing and get output from microdata processing. At the implementation stage, two applications were produced in the BPS DataLab system, namely applicationswebsite and desktop applications. Applicationwebsite used for account requests and requestsproject. Desktop applications are used to limit the user's time in processing data, triggers to start screen recording and restart the computer, and upload files resulting from data processing. Based on the research results, it can be concluded that the BPS DataLab system has fulfilled the research objectives
Development of Student's Dropout Early Warning System Using Analytical Hierarchy Process Naflah Ariqah; Yunarso Anang
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2021 No. 1 (2021): Proceedings of 2021 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2021i1.201

Abstract

As a higher education institution, Politeknik Statistika STIS also faces the same problems as universities in general, those are student failing to compare that year courses thus have to repeat those courses or student dropping out. To overcome this problem, this research proposes a Dropout Early Warning System (DEWS) that can provide early warnings for dropouts and repeat a class. With this system, it is hoped that it can help institutions to identify students who have the potential to drop out or repeat a class. The purpose of making this system is to help academic supervisors and decision makers from Polstat STIS in knowing the potential for student. The potential for students to drop out and repeat a class is measured by a potential score obtained from the results of an assessment of 5 criteria consisting of GPA scores, gender, economic factors, violation points, and record of repeating class. Prediction results are presented in three categories consisting of low potential, medium potential, and high potential which are calculated from the results of weighting calculations using the Analytical Hierarchy Process (AHP). The system is tested and verified using Black Box test and the evaluation of the calculation method using confusion matrix. Based on the test results, the functions that exist in the system can function properly and can supply the needs.
Development of Student’s Uniform Compliance Detection System Using Real Time Image Recognition at Politeknik Statistika STIS Ardian Fajri Saputra; Yunarso Anang
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2023 No. 1 (2023): Proceedings of 2023 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2023i1.298

Abstract

Regulations in the Politeknik Statistika STIS (hereinafter called Polstat STIS) aims to produce graduates who are qualified, with integrity and trusted. In enforcing regulations in Polstat STIS, there are a student squad of regulations enforcement, which is called Satuan Penegak Disiplin or SPD in Indonesian, which aims to maintain the order, discipline and student ethics during their activities on and off campus. In upholding the regulations, SPD carries out surprise inspection and during the weekly morning assembly to check completeness and tidiness of student’s uniform as well as his/her look. However, previous research related to the student’s commitment to the campus regulations shows that half of the students have low commitment. This is partly due to the lack of supervision of students. Therefore, it is necessary to monitor the discipline and neatness of students on an ongoing basis. In order to conduct the monitoring and inspection on a more regular basis, the method of image recognition can be used to assist in overseeing student discipline and neatness. In this study, we developed a system which can detect in a real-time manner the completeness of attributes the student wears. The system we developed uses object detection to detect the completeness of student attributes. The system shows and records student(s) whose attributes are incomplete. The system expected to improve the discipline and neatness of the students.
Co-Authors Aditya Abdulmunaf Rosnah Ardian Fajri Saputra Bagus Almahenzar Naflah Ariqah