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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Indonesia : Manajemen Informatika dan Komunikasi PUBLIDIMAS
nasution, fitri pranita
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Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science

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Decision Support System Using the TOPSIS Method in New Teacher Selection Hts, Dedek Indra Gunawan; Desi, Efani; Aliyah, Siti; Nasution, Fitri Pranita; Indriani, Ulfah; Edi, Firman
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13751

Abstract

Every school needs teachers who have good competence to educate students to become outstanding students. Getting teachers who have good competence is certainly not an easy thing, it must be a very strict selection process. This research aims to help determine teachers who are eligible to be accepted at IT Al Munadi Private Elementary School Medan by using the TOPSIS method. The selection consists of 5 criteria, namely education, microteaching, teaching experience, tahsin and memorization of the Koran. The TOPSIS method is widely used for Multi Attribute Decision Making (MADM) decision making. The TOPSIS method is used as a ranking to see teachers who have competencies that are worthy of acceptance. Based on the results of the TOPSIS calculation where there are 6 alternatives that have been determined, the results obtained are G6 in the first place with a preference value of 2.82, 2nd place with a preference value of 2.48, 3rd place with a preference value of 2.09, 4th place with a preference value of 1.72, 5th place with a preference value of 1.67, while the 6th place is G1 with a preference value of 1.00. It is hoped that the decision support system using TOPSIS can help schools in determining teachers who have good competence so as to produce outstanding students.
PELATIHAN ADVANDCED MICROSOFT EXCEL DALAM MENINGKATKAN KEMAMPUAN SISWA SMK MUHAMMADIYAH 04 Nasution, Fitri Pranita; Fetty Ade Putri; Rahmad Doni; Mhd Syahrul Ramadhan Girsang
Publikasi Pengabdian Masyarakat Vol 3 No 2 (2023): PUBLIDIMAS Vol. 3 No. 2 NOVEMBER 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v3i2.222

Abstract

Studying ICT (Computer Information Technology) for school students at all levels in this very fast technological development is mandatory. Understanding the use of technology can help many audiences in various fields to solve everyday problems. One of them is the ability to use Advanced Microsoft Excel, where in the world of work the use of high-level Excel formulas is very often used. However, the problem that is often encountered is the lack of support from both the curriculum and schools in learning these formulas. The aim of this service is to provide vocational school students majoring in accounting with an understanding of the importance of knowing Advanced Microsoft Excel and providing hard skills for facing the world of work in the future. The result of this service is increased knowledge, understanding and motivation of vocational school students regarding Advanced Microsoft Excel.
Penerapan Metode Monte Carlo untuk Simulasi Prediksi Tingkat Penjualan Coklat Khas Dubai Desi, Efani; Aliyah, Siti; Dari, Wulan; Nasution, Fitri Pranita; Maisaroh, Enni
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 2 (2025): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i2.1413

Abstract

DarkChoco, which sells Dubai chocolate, has seen its sales increase every day, but this situation has affected the level of service to customers because the ingredients used to make the chocolate run out quickly. There are some customers who cannot taste and get the Dubai chocolate. This case will lead to fewer customers. So this research was conducted to predict sales in maintaining the availability of materials so that the services will increase again. The method that will be used in this research uses the Monte Carlo method by processing Dubai Viral Chocolate sales data in 2021, 2022 and 2023. This study aims to simulate the prediction of the sales level of Dubai specialty chocolate by applying the Monte Carlo method. Dubai specialty chocolate is a product with high market potential and significant demand fluctuations, so accurate sales prediction is very important for business decision making. The simulation of the sales forecast will show an average accuracy rate of about 94.5%, which means that the forecast is quite close to the actual data. Some months with large deviations (February, March, May, August, December) indicate potential seasonal variability or other factors that need attention. This simulation model is effective for sales forecasting and planning by taking uncertainty into account. Thus, this method is capable of producing forecasts that are more realistic and informative than conventional methods. The results show that the application of Monte Carlo method is able to provide a comprehensive overview of sales simulation and predict sales levels with sufficient accuracy, and this Monte Carlo method can also be an effective tool in helping companies manage inventory and marketing strategies for Dubai specialty chocolates to improve operational efficiency and business profits in the future.
Co-Authors Desi, Efani Edi, Firman Fetty Ade Putri Hts, Dedek Indra Gunawan Indriani, Ulfah Maisaroh, Enni Mhd Syahrul Ramadhan Girsang Rahmad Doni Siti Aliyah Wulan Dari, Wulan