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Heru Santoso Wahito Nugroho
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Aloha International Journal of Multidisciplinary Advancement (AIJMU)
Published by Alliance of Health Activists
ISSN : -     EISSN : 26223252     DOI : https://doi.org/10.33846/aijmu
Core Subject : Humanities, Health, Science, Social,
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Social Sciences
AIJMU is an online media publication in the international scope, for scientific works in all fields of science such as health, education, management, biology, engineering, humanities, economics, law, art and so on. The types of scientific works published are research articles, literature review, book reviews, commentaries, opinions, tips, scientific news and letter to editor. AIJMU accept the all types of article such as research, literature review, book review, case report, commentary, opinion, news, tips and letter to editor.
Arjuna Subject : Umum - Umum
Articles 2 Documents
 1 
Search results for , issue "Vol 1, No 6 (2019): JUNE" : 2 Documents clear
Development of a Computerized Student- Advising and Enrollment System Greg Sambaan Campos
Aloha International Journal of Multidisciplinary Advancement (AIJMU) Vol 1, No 6 (2019): JUNE
Publisher : Alliance of Health Activists (AloHA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (116.471 KB) | DOI: 10.33846/aijmu10601

Abstract

The traditional “paper and pen” method of student records handling manual enrolment system has been bungling the advising and enrolment process every semester. More related issues were raised by stakeholders who compelled the school to acquire and install a new system. The fundamental objective of the system was to bring the level of student record into a structured form. With such a mindset, the system was assumed to consequently improve the conduct of advising and enrolment processes in the school. To expedite the comparison, the author chose the queuing methodology as it allows generate low – cost and affordable technologies include SMS as well as barcode which area also injected into the computerized enrolment system. Further, in programming the application system, the author as FOSS advocate himself, used open – source web engineering tools along the lines of Apache 2 for web service, PHP 5 for server – side scripting, MYSQL for database service, XML AJAX, Code 3 of 9 bar coding technique as well as POSIX – based regular expressions. The development and full – scale implementation of this system had physically changed the landscape of student records handling in the school as student checklists and allied reports can be easily retrieved by deputized users from designated workstations. The enrolment process had significantly improved specifically in terms of advisee and adviser interaction. This becomes possible as advisers have already the luxury of time to talk and exchange ideas with their advisees. While under operational observation, the system will be of exclusive use of the school until proven to be already stable. The rest of the departments will likewise avail of the service in the near future as the application system is designed to be scalable for such expansion. Keywords: automated system; enrolment system; SMS; student records; system development
Tips for Distinguishing Nominal and Ordinal Scale Data Suparji Suparji; Heru Santoso Wahito Nugroho; Wiwin Martiningsih
Aloha International Journal of Multidisciplinary Advancement (AIJMU) Vol 1, No 6 (2019): JUNE
Publisher : Alliance of Health Activists (AloHA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (72.842 KB) | DOI: 10.33846/aijmu10602

Abstract

In community empowerment research, categorical variables both in the form of nominal and ordinal scales are often involved. The purpose of these tips is to provide information on how to distinguish nominal and ordinal variables, so that data interpretation errors do not occur. In principle, to distinguish nominal and ordinal variables, the first step is to ensure that there is a dichotomy which means variables at nominal scale; if there are more than two categories, a second step is taken, namely to ensure that there are differences in degree between categories which means the variables are ordinal scale. Keywords: categorical variable, nominal scale; ordinal scale; distinguishing

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