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Humdiana Roelly
Institut Bisnis Dan Informatika Kwik Kian Gie
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health Social Sciences Other

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PENGEMBANGAN APLIKASI PENCARIAN REKOMENDASI ASISTEN LABORATORIUM KOMPUTER DENGAN METODE SIMPLE ADDITIVE WEIGHTING: STUDI KASUS : INSTITUT BISNIS DAN INFORMATIKA KWIK KIAN GIE Humdiana; Michael
Jurnal Informatika dan Bisnis Vol. 8 No. 2 (2019): Edisi Desember 2019
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Technological developments are growing day by day. The growing technology proves that human beings are able to create new things that can help in completing their work. With the development of technology, we can also be facilitated in taking decisions, such as in choosing human resources. This research is motivated by the absence of an objective calculation in the selection of computer lab assistants, the difficulty of determining the weight in the criteria of the selection of computer lab assistants, and the selection process that is still running manually. This research is done by using NoSql Firebase as a database, using Java and XML language, and Android Studio as tools to develop this application. Researchers apply the method of Simple Additive Weighting in searching for recommendations of computer lab assistants. Information gathering was done by field study, ie direct observation and interviews with the head of computer lab assistant, and literature study such as reading books, journals, and websites as supporting reference for this research. This application was created to implement the selection of computer lab assistants to be more objective and can assist in the search of computer lab assistant recommendations. Through the research process that has been done and the application development process that has been going on, the researcher concludes that the application that the researcher produces can provide the recommendation of computer lab assistants objectively and precisely, and get the weight on each criterion well. Keywords: Simple Additive Weighting Method, Computer Laboratory Assistant, Android
APLIKASI UNTUK MENDIAGNOSA KECANDUAN INTERNET TERHADAP MAHASISWA/I PERGURUAN TINGGI BERBASIS WEB DENGAN MENGGUNAKAN METODE FORWARD CHAINING Edwin; Roelly Humdiana
Jurnal Informatika dan Bisnis Vol. 9 No. 1 (2020): Edisi Juni 2020
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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The rapid development of technology makes everything easier. As time passes, technology is growing and human needs can be easily fulfilled. The problem in technological development that is going faster every day is that the development can not be stopped, but the standard of human need for technology will be higher. Researchers write the meaning of application and internet addiction which is the topic of this scientific work. The researcher is using the Forward Chaining method in the process of making this application and using the Waterfall model as a system development method. Researchers also include the understanding of the internet, and the object that researcher researched, which is college student. Researcher gather information by questionnaires and literature study, collecting information such as student data from various colleges and reviewing for books, journals and websites for reference to this research. This website is created to determine the internet addiction of college students in general so college students and parents can find out the impact and find solutions for those who have Internet addiction. Through the research process and the website development that has been done, the researcher concludes that the website that the researchers has created can be useful for students to determine the level of internet addiction owned by the student. Key words : Diagnose Application, Forward Chaining Method, Internet Addiction, College Student, Web.
Co-Authors Akhmad Budi Budi Wasito Edwin Edwin Edwin Elis Sondang Dasawaty Hanes Riady Julieca Julieca Michael Raynor Raynor Sigit Birowo