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All Journal Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Prosiding Snastikom
Annisah, Yessi Fitri
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Computer Science & IT Library & Information Science

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Game Petualangan Belajar Bahasa Inggris Buah-Buahan Untuk Anak-Anak Dengan Teknologi Augmented Reality Nasution, Muhammad Nawawi; Khair, Ummul; Annisah, Yessi Fitri
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 5 No. 2 (2023): Edisi Oktober
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v5i2.847

Abstract

Information technology was developed by humans in prehistoric times and functions as a system for recognizing the forms they are familiar with. They describe the information they get on cave walls, about hunting and the animals they hunt. Until now, information technology continues to develop, but its delivery and form are more modern. Technology can be interpreted as all processes carried out in an effort to realize something rationally. In this case, what is meant by something can be an application, machine, data or game. One way that can be done to integrate learning with technology that is interesting, fun, flexible and easier for students to accept is by using games in the learning process.
Implementasi Association Rules dengan Algoritma FP - Growth Annisah, Yessi Fitri; Sundari, Siti
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 6 No. 1 (2024): Edisi April
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v6i1.1071

Abstract

This research aims to help Ayaa Fashion Store improve its sales strategy by understanding consumer shopping patterns. This research was conducted by utilizing the FP-Growth algorithm to analyze consumer purchasing patterns based on sales transaction data at the Ayaa Fashion Store which operates in the sales of women's clothing, mukenas and headscarves. The data collection method is carried out through daily sales transaction information, with a total of 365 transactions recording goods purchased by consumers. The use of the FP-Growth Algorithm allows identifying events that frequently occur in the dataset, producing association rules that describe consumer shopping patterns. The analysis was carried out by paying attention to the support and confidence values, and using the lift ratio to assess the strength of the association rules. Data processing was carried out using RapidMiner software. The research results include 12 association rules and 20 itemsets of goods that consumers frequently buy. The results of this research evaluation show that the FP-Growth algorithm is effective in analyzing sales transaction data, providing valuable guidance for designing sales strategies, and optimizing the supply of goods for Ayaa Fashion Stores.
Perancangan Aplikasi Steganografi Dengan Algoritma Twelve Square Substitution Cipher dan Metode Indeks Variabel Annisah, Yessi Fitri; Lubis, Imran
SNASTIKOM Vol. 2 No. 1 (2023): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2023
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.499 KB)

Abstract

Penggunaan internet telah meningkat secara signifikan dan semua orang dengan mudah dapat mengaksesnya. Tetapi tidak seharusnya semua orang berhak mendapatkan informasi yang rahasia, sehingga tidak ada rasa aman dan nyaman dalam berkomunikasi. Ketidaknyamanan itu dapat timbul karena adanya orang ketiga yang ingin mengetahui, mengubah, dan bahkan mencuri informasi rahasia. Ada banyak metode Steganografi yang telah dibuat untuk dapat mengamankan informasi rahasia di dalam sebuah citra, sehingga pihak yang tidak berhak tidak menyadari adanya pesan rahasia didalamnya. Masing-masing algoritma memiliki kelebihan maupun kekurangan sendiri. Algoritma Twelve Square Substitution Cipher dan LSB didasarkan pada konsep Steganografi, dimana informasi terlebih dahulu dienkripsi dengan algoritma Twelve Square Substitution Cipher dan digunakan posisi LSB untuk menghasilkan pola yang menyembunyikan bit data ke dalam LSB pada nilai pixel RGB gambar. Sehingga dihasilkan pesan rahasia didalam gambar tersebut dan orang ketiga tidak menyadari adanya pesan tersembunyi didalamnya
Penerapan Metode Weighted Aggregated Sum Product Assessment pada Pemilihan Instruktur Terbaik dalam Pembelajaran Mengemudi Mobil: Array Silalahi, Ade Tina; Lestari, Yuyun Dwi; Annisah, Yessi Fitri
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 3 No. 2 (2021): Edisi Oktober
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v3i2.354

Abstract

One form of non-formal education is a course where many people learn cars with the aim of being able to master it in a short time. The more people who want to take car driving courses, the more Institutions will provide the best instructors for the community in driving cars. There are many criteria to determine the best instructor in car driving learning such as length of work, discipline, friendliness which are reasons to determine the best driving instructor. Therefore, the best driving instructor recommendation system is needed for people who want to learn to drive a car is very important to create customer satisfaction. This study will build a decision support system using the waspas method with the aim of being able to implement the Weighted Aggregated Sum Product Assessment method in determining the best car driving instructor which is unacceptable to prospective customers who want to learn to drive a car. The system will be built with the PHP and MySQL programming languages ​​as the database.
Co-Authors Imran Lubis Lestari, Yuyun Dwi Nasution, Muhammad Nawawi Silalahi, Ade Tina Siti Sundari Ummul Khair