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Implementasi Huffman Kompresi Pada Steganografi Ruang HSV
Dio Aldino Bugis
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan
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Sending a message or confidential data that is very important requires a high level of security. however, threats can still occur from irresponsible parties. Data security can be done using cryptography and steganography simultaneously in the image space. So it will be difficult to realize that in an image there is a secret message in the form of stored text. Steganography means the science and art of hiding secret messages in other messages so that the existence of these secret messages cannot be known. By using the Huffman compression algorithm, we can insert a message in an image without changing the original form of the message. The Huffman algorithm is a compression algorithm that is quite old but is still evaluated as a reliable data compression algorithm. Huffman algorithm is a compression technique that uses bits to represent character data. In general, this algorithm can provide savings of as much as 20%-30%. The application of the Steganography and Huffman Compression algorithms that have been carried out can be combined well. The implementation of the two methods resulted in a method that can deliver a better level of security.
Pintu Pintar Menggunakan RFID 522 Berbasis Arduino Uno
Handika Sanjaya;
Juni Triyanto;
Refdi Andri;
Phito Prima Sanjaya;
Teguh Pratama Vinta Viano;
Fitri Yani
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan
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In the current pandemic period of crime is increasing. There are many crimes such as theft, home burglary and so on. Therefore the function of a door plays a very important role as one of the protectors at home. Currently the door generally still uses a manual key, although there are some who have used the door with a layered level of security but not evenly distributed. Even in big cities not all people have doors with double safety. The increasing development of technology also affects the development of a door. Many technologies are created with the aim of protecting residences from crime actions where one of them is to make sophisticated security on the door. In this study a more practical door safety was made for users by utilizing RFID 522 and Arduino Uno. The research method used is research and development. This method applies research procedures that are divided into 9 stages. The purpose of this tool is made to increase security on the door so it is not easy to break by people who want to commit crimes. The results of this study are using the ID Card Card Code, where if the card code reads 131.41.129.2 then the door will open but if the card code reads 249.128.96,211, the key is not open
Sistem Kendali Lampu Taman serta Pengecekan Suhu dan Kelembapan di Sekitar Menggunakan NodeMCU ESP8266 Berbasis Internet Of Things
Sultan Raza Fiqri;
Abdul Jabbar Lubis;
Risko Liza
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan
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Advances in technology today have provided many benefits in the use of electronic equipment that makes it easier for humans to carry out their daily activities. In the Industrial revolution 4.0, the first progress that can be felt is the internet of things or IoT. Iot has an important role in Industry 4.0, because it can connect everything to the internet network. Iot (Internet of Things) can be used in gardens to control garden lights and check temperature and humidity that can be operated remotely via the internet. This system utilizes sensors that can detect the amount of light intensity resistance that is used to turn on and off lights based on light intensity, sensors that can detect temperature and humidity that can be controlled and monitored from anywhere and anytime. In this study, the system uses a nodemcu esp8266 microcontroller which functions as a device that activates all components, such as the dht11 sensor, ldr sensor, 2 channel relay and led lights. This system uses a telegram application that functions as an application for controlling lights and checking temperature and humidity which is accessed from a smartphone connected to the nodemcu esp8266 microcontroller via a wifi network. The results of the trials carried out on all the features showed the results as expected.
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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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.
Penerapan Data Mining K-Means Clustering Untuk Pengelompokan Barang Pada Masa Pandemi Covid-19 Di Rex Indonesia
Sisca Dwivayana;
T.M Diansyah;
Divi Handoko
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan
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Freight forwarding services are very useful and very easy to access, since the implementation of working from home a lot of workers, housewives, or traders, many of whom use delivery services both to meet their needs and for the business of buying and selling goods. Royal Express Indonesia (REX) is a company that focuses on its services as a delivery service company. The cases COVID-19 are increasing and spreading rapidly throughout Indonesia. By grouping the types of packets using the K-Means algorithm. Can assist companies in evaluating the statistics of goods that have increased and decreased. The application of the method K-Means will be carried out using SPSS version 25 software. The results of the K-Means Clustering process can be concluded that cluster 1 has 8,000 (53.33%) data, cluster 2 has 4,000 (26.67%) data and cluster 3 has 3,000 (20.00%) data.
Implementasi Media Interaktif Budidaya Kelapa Sawit Bagi Komuditas Tani Berbasis Android
Ulul Azmi Harahap;
Sumi Khairani;
Dharmawati
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan
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Palm oil is an industrial plant / plantation used as a producer of vegetable oils, industrial oils and fuels. There are two types of oil palm, elaeis guineensis and elaei soleifera, which are used to produce palm oil in commercial agriculture. In fact, many communities (farmers) have failed or are still minimal in oil palm management. These factors include land conditions, knowledge of farming and insufficient experience. One way to provide knowledge to oil palm farmers is through socialization. Socialization which is equipped with media in accordance with technological developments will facilitate and greatly help the community. It will be easier for the community to obtain information about oil palm cultivation. The purpose of this study is to provide an attraction for oil palm cultivation. Then this research uses Unity 3D software by utilizing augmented reality technology. The results of this study are an android-based application about oil palm cultivation that has augmented reality technology. In the interactive media introduction of palm oil using Augmented reality technology, there are questionnaire results that conclude the first question questionnaire gets 62.6% results, the second question gets 64%, the third question gets 64%, the fourth question gets 64% and the last question 78.6%.
Clustering Debitur PNPM Mandiri Perdesaan Kecamatan Simeulue Timur Dengan Metode K-Means Menggunakan Matlab
Vira Anjani;
Yuyun Dwi Lestari;
Rismayanti
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan
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People who need loan funds to open a business. Every regional and central leadership makes the poor as the main goal that must be resolved. Fund loan assistance is needed to open a business. Based on data from the women's special savings and loan group (SPP) in the Simeulue Timur District, Simeulue Regency, it shows several types of businesses, loan nominal and loan arrears. This study groups (clusters) members of women's special savings and loan groups (SPP) lending using the K-Means method. This method consists of 3 criteria, namely the type of business, nominal loan and loan arrears. In this study, group members who are entitled to get a loan are group members who have the highest cluster value. A scoring system that is very feasible to get a loan using the data mining method Clustering K-Means. This system can be used as a clustering method to assist decisions in determining women's special savings and loan groups (SPP).
Penerapan Teknik Data Mining Dengan Menggunakan Algoritma Eclat Untuk Mendukung Startegi Promosi
Dhea Rulana Arfasyah P;
Dodi Siregar;
Yunita Sari Siregar
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan
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Business competition, especially in supermarkets and retail stores, forces shoppers to decide and find the best policy they want, especially in terms of convenience in choosing products. The problem faced by companies, especially customers or buyers, is that they cannot take full advantage of obtaining business information in terms of getting product locations easily and can save time. so the company database can not be used to support business decisions. This research requires a simple model that allows to determine the model when placing a product to overcome the problems that arise at this time by using data mining techniques in determining the product to be placed in a strategic place. products and can form this transaction pattern to find out information from products that often appear and is the process needed to change unused data points to provide more useful and valuable information to support decision making. This research produces a web-based system to be used in determining the items that must always be available according to the results of the eclat algorithm. The purpose of this study is to obtain an accurate pattern of transaction tendencies by applying the ECLAT Algorithm calculations and developing a varied search for case studies in minimarkets to find out patterns of shopping behavior based on consumer history using the ECLAT algorithm.
Implementasi Model Recurrent Neural Network Dalam Melakukan Prediksi Harga Kartu Perdana Internet Dengan Menggunakan Algoritma Long Short Term Memory
Nafila Hayati Lubis;
Yessi Fitria Annisah Lubis
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan
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The development of the internet starter pack business has finally shown a symptom, namely the increasing number and variety of internet starter packs made by provider companies with various types, features and facilities that are more complete and bonuses given. With the Recurrent Neural Network method, it is an artificial neural network architecture that has been proven to perform well because the processing is called repeatedly to process sequential data input. Using the Long Short Term Memory algorithm to predict the price of internet starter packs that will be generated through raw data that is used as input. The results of the study predict the price of internet starter packs with 70% training data (529) and 30% test data (226) with a total of 755 data from August to December, with forecasting time series epochs 100, hidden layer 32, batch size 64 overall predictions the price of an internet starter pack is 52,500 to 67,000 using the RNN and LSTM methods
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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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.