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Journal : Prosiding Snastikom

MEDIA PENGENALAN ORGAN TUBUH MANUSIA DALAM BAHASA LATIN UNTUK SISWA SMP BERBASIS ADOBE AFTER EFFECT Bella Puspita; Herlina Harahap; Sumi Khairani
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2020): PROSIDING SNASTIKOM 2020
Publisher : Universitas Harapan Medan

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Abstract

Making media on the introduction of human body organs in Latin based on Adobe After Effect is aimed at junior high school students with the aim and purpose that junior high school students are more interested getting to know the human organs in Latin with this 2D animated video. Making media introduction to human organs in Latin based on Adobe After Effect through three applications, the Adobe After Effect application is used for making animation, Adobe Illustrator to draw all of characters, background settings or other ambience and Adobe Audition as audio editing manager before being combined into Adobe After Effect. The process of making this animation requires a story idea, scene and storyboard. There are several steps to make an animated object to become a 2D animation video, modeling or depiction of background characters and other ambience, audio editing and animation. The result of this animation research is a learning medium for human body organs in Latin for junior high school students which aims to provide information about animation the body organs in the human body along with an explanation.
Analisa Kombinasi Chain Code Dan Single Linkage Clustering Dalam Mengidentifikasi Karakter Ainun Naimah Pulungan; Herlina Harahap; Rosyidah Siregar
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan

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Abstract

Character recognition (Optical Character Recognition) is pattern recognition. One method of pattern recognition that is widely used is Single Linkage Clustering and Chain Code whose system works like the human brain which can recognize patterns after training on some of the examples given. The final project prioritizes pattern recognition on characters. To get a pattern on each character, some features of the character itself are needed. The features taken on a character include Perimeter, Area, Shape Factor, Roundness for SLC and Chain Map for Chain Code. Feature retrieval using Single Linkage Clustering and Chain Code methods to be able to distinguish the shapes of the segments according to the given parameters.
Implementasi Sistem Pendukung Keputusan Menggunakan Metode Promethee Dalam Pemilihan Sepeda Motor Terlaris PT. Indako Trading Co Binjai Dinda Cahya Ramadhani; Herlina Harahap; Mufida Khairani
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan

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Abstract

In building a best-selling motorcycle selection system, a decision support system is needed which is intended to assist decision makers in selecting the best-selling motorcycle at PT. Indako Trading Co Binjai by using data from survey results directly to the location. This system will be designed using the web and perform calculations using the Promethee Method. Where there are already determined criteria and alternatives which will later bring up an output of the best-selling motorcycle type at PT. Indako Trading Co Binjai. Based on the results of the analysis and design that has been carried out in the Promethee stage in calculating the Net Flow value, the first ranking results in the selection of the best-selling motorcycle at PT. Indako Trading Co Binjai is Vario 150.
Implementasi Algoritma CT-PRO Untuk Menentukan Pola Frekuensi Judul Skripsi Teknik Informatika Universitas Harapan Medan Muchriza Akbar Bancin; Herlina Harahap; Rismayanti
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan

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Abstract

The thesis is a term used to describe a scientific book in the form of an explanation of the results studied. In this study there was a problem that every time a student made a thesis title was difficult for students to decide which topic to be discussed. So that the study program was also somewhat overwhelmed to provide input on what title would be appointed for the thesis. With the help of data mining the CT-Pro algorithm is expected to help the study program in determining the frequency pattern of the title of the thesis submitted by students. So that the study program can see students more likely to submit the title of the thesis in which direction, whether it is in accordance with the science they control or not. This research produces a media network in determining specialization in taking thesis titles.
Perancangan Game Edukasi Pengenalan Lagu Wajib Pada Siswa SD Menggunakan Metode CBI Berbasis Android Amelia Siregar; Herlina Harahap; Nenna Irsa Syahputri
SNASTIKOM Vol. 2 No. 1 (2023): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2023
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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Abstract

The development of technology is now growing rapidly so that it has a varied impact. Including a positive impact, where now there are many effective and interesting learning media that can be accessed only through smartphones. Educational games are a tool used in introducing national compulsory songs to elementary school children. There are many national compulsory songs and each song contains different meanings, both in the form of celebrating the services of heroes and in fostering the spirit and love of the motherland. In this study, the game was designed based on Android, because it can be accessed and used anytime and anywhere. The method used in designing this application is the Computer based Instruction (CBI) method where this method aims to increase children's interest in learning and can be a substitute medium for books in learning. Because the Computer Based Instruction (CBI) method is a learning method that is instructed by computers as a whole. The results of this study show that the compulsory song recognition educational game for elementary school students using the Android-based Computer Based Instrument method is worthy as an interesting and influential introduction and learning medium for elementary school students.
Penerapan Algoritma Lempel Ziv-Welch Dan Teknik Steganografik Adaptif Pada Gambar Digital Harahap, Herlina; Budiman, Arief
SNASTIKOM Vol. 1 No. 01 (2022): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2022
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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Abstract

Steganografi merupakan seni dan ilmu menyembunyikan pesan rahasia di dalam pesan lain sehingga keberadaan pesan tersebut tidak terdeteksi. Dalam dunia digital, steganografi sering digunakan untuk mengirimkan informasi rahasia serta untuk pengarsipan data digital. Teknik ini berbeda dengan kriptografi yang hanya menyembunyikan makna pesan tanpa menyamarkan keberadaannya. Pada era digital, steganografi telah berkembang dengan berbagai metode, salah satunya adalah Adaptive Steganography yang banyak diterapkan pada berkas multimedia seperti citra digital. Namun, penyembunyian citra digital dalam citra lain membutuhkan citra penampung dengan ukuran besar, yang sering menjadi kendala. Untuk mengatasi hal ini, mekanisme seperti kompresi diperlukan.Kompresi adalah teknik yang bertujuan menghilangkan redundansi atau informasi berlebih pada data digital sehingga ukuran data menjadi lebih kecil tanpa kehilangan esensi informasi. Berbagai metode kompresi telah dikembangkan, termasuk metode Lempel Ziv Welch (LZW). LZW menggunakan teknik dictionary encoding, menggantikan sekumpulan karakter dengan referensi dari pustaka acuan. Metode ini lebih efektif dibandingkan beberapa metode lain, seperti LZ78, yang sering menghasilkan penggantian karakter lebih panjang dari karakter aslinya. Beberapa penelitian, seperti yang dilakukan oleh Musril, Jain, dan Paula Aguilera, telah membahas perbandingan metode kompresi dan peningkatan rasio kompresi dengan algoritma seperti Adaptive Huffman dan LZW. Penelitian ini bertujuan untuk mengimplementasikan metode Lempel Ziv Welch dan Adaptive Steganography pada citra digital. Dengan menggabungkan kedua metode tersebut, penelitian ini diharapkan dapat mengatasi kendala ukuran citra penampung yang besar serta meningkatkan efisiensi dalam penyembunyian data digital. Studi ini juga berpotensi memberikan kontribusi signifikan dalam pengembangan teknik penyembunyian data dan pengelolaan informasi digital secara aman dan efektif.