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All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Akrab Juara : Jurnal Ilmu-ilmu Sosial
Wahyudi Prabowo
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Medicine & Pharmacology

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IMPLEMENTATION OF WATERFALL METHOD IN PD INVENTORY INFORMATION SYSTEMADIWANGI KARAWANG fitri isnaini; Wahyudi Prabowo
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 4 No 1 (2021): Jurnal Teknologi dan Open Source, June 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i1.1390

Abstract

In the era of Information Systems, development changes, especially in the field of sales, have changed very rapidly. AdiWangi Trading Company is one of the companies engaged in the sale of staple goods. In providing services to customers and the general public, PD Adiwangi has not been able to fulfill information needs optimally. The process of data collection is still done manually, so it takes a long time to complete it. With the current process, customers often feel that they have been served a long time and for the company itself there are often differences between the items in the data recorded and the items stored in PD Adiwangi, so that why this research uses waterfall method. The design stages used include program planning, program design, database, and program development. Inventory Information System with manual record by inputting into excel and record incoming goods. Whereas, outcoming goods recorded rarely, employees are not taken for placement on shelves. It has become a habit until now so that inventory of goods also not observed. From the results of the study, it can be concluded that the program design made named Inventory program design at PD AdiWangi. It is expected to facilitate the process of data collection, as well as making reports quickly and accurately compared to systems manually.
FORECASTING ANALYSIS OF NEW STUDENTS ACCEPTANCE USING TIME SERIES FORECASTING METHOD Suhardi Suhardi; Tri Widyastuti; Bisri Bisri; Wahyudi Prabowo
Jurnal Akrab Juara Vol 4 No 5 (2019)
Publisher : Yayasan Akrab Pekanbaru

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Abstract

New students admission (PMB) is a routine activities for education institution. Therefore, it was necessary for the institution to be aware of the mechanism of PMB to produce competent and qualified prospective students. Forecasting of PMB needed to predict the number of students and to prepare the institution infrastucture facilities to welcome the new freshmen. The research discussed the determination of forecasting number of Universitas Bina Sarana Informatika PSDKU Karawang students by using time series forecasting with three different method: moving everage, exponential smoothing and trend analysis. It also compare Mean Absolute Presentage Error (MAPE) calculated by QM for Windows. The result of the research showed that trend analysis was the most effective method which had 41.84 MAD, 2324.28 MAD, 4.99 % of MAPE and 557 students for next forecasting. The conclussion from data analysis processing showed that Universitas Bina Sarana Informatika should provide all of infrastructure facilities for the teaching and learning process with the number of 557 students in 2020.
Co-Authors Bisri Bisri fitri isnaini Suhardi Suhardi Tri Widyastuti