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All Journal Query : Jurnal Sistem Informasi JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Tunas Journal of Computer Networks, Architecture and High Performance Computing JiTEKH (Jurnal Ilmiah Teknologi Harapan) Prosiding Snastikom Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Insight Power (Kekuatan Wawasan) - Jurnal Pengabdian Kepada Masyarakat Digital (JUPED) Jurnal Pengabdian Masyarakat Bangsa
Tommy Tommy
Fakultas Teknik Dan Komputer, Program Studi Teknik Informatika, Universitas Harapan Medan, Medan, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Prosiding Snastikom

 1 
Aplikasi Sistem Terdistribusi Pada Sistem Informasi Absensi Berbasis Mobile Di Kantor Bpdashl Wampu Sei Ular Jadi Olo Pangihutan; Tommy; Risko Liza
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan

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Abstract

In the current era of the covid-19 pandemic, for employee attendance attendance is still using the attendance system with a finger print and in my opinion it is very dangerous in employee attendance at this time during the covid-19 pandemic, because the hands of employees who have been absent are left behind in the attendance machine and I think it can spread covid-19 to other employees who want to be absent, so that the use of a distributed system application on the mobile-based attendance information system at bpdashl wampu sei snake has a good impact on users, where users can avoid the spread of covid-19 with services digital attendance provided by the application that was built so that employees no longer have to queue at the attendance machine and avoid touching the attendance machine. To build a distributed system application on a mobile-based attendance information system at the office of bpdashl wampu sei snake using Adroid Studio. Therefore, the author raised the title of a distributed system application application on a mobile-based attendance information system at the BPDASHL Wampu Sei Snake office, so that the prevention of employee attendance is not contagious because there is no physical contact by reducing touch. With the design of a distributed system application on this mobile-based attendance information system, it is hoped that it can trigger other developers to innovate more in designing the next system
Klasifikasi Sentimen Tweet Pada Twitter Terhadap Pembelajaran E-Learning Menggunakan Metode k-Nearest Neighbor Nurcholis Geofany; Tommy; Risko Liza
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan

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Abstract

Indonesia is one of the most active Twitter users, so Twitter can be used as a medium to analyze e-learning topics. Studying at school is one of the things that have been affected by the current Covid-19 pandemic. On March 4, 2020, UNESCO (United Nations Educational, Scientific and Educational Organization) recommended that schools adopt a distance education system that allows teachers to reach students remotely and limits educational disruption on social networks. This study aims to answer public opinion that focuses on social media Twitter on this online/distance learning policy. Sentiment analysis is conducted to determine whether opinions on an issue have a positive, neutral, or negative trend value and can be used as a benchmark to improve a service. Sentiment analysis using the k-Nearest Neighbor method with Twitter data as much as 7800 tweet data that has been previously processed and achieves the best accuracy value of 53.03% with a comparison of training data and test data of 80:20.
Analisis Perbandingan Kompresi Half Byte ddan Byte Pair Encoding Pada File Bynari Atau Teks Dedek Prasetyo; Tommy; Rizko Liza
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan

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Abstract

A text file is a file that contains information in text form. Data derived from word processing documents, numbers used in calculations, names and addresses in the database are examples of text data input consisting of characters, numbers and punctuation marks. The process of sending messages or texts has now become a necessity for everyone through various media platforms that exist as a form of visual message. The large size of the text transmission of course sometimes becomes an obstacle, not to mention bandwidth is also a problem for users in the sending process. One solution to solve this problem is to use compression or compression techniques. Data compression is a method that supports technology in the use of networks for data transmission, data access, and data use. Some of the many compression algorithms that are declared good to be applied to text-based data compression are Byte Pair and Half Byte. The Half-Byte Algorithm takes advantage of the four left-hand bits which are often the same in sequence, especially in text files. Byte Pair Encoding Algorithm is a simple text compression algorithm based on pattern substitution. Both of these algorithms mandate the similarity of data as a compression process using a program that has been created with the Visual Basic 2010 programming language. Visual Basic 2010 is an OOP-based programming language or object oriented programming that utilizes .NET technology which is used to create applications in a work environment based on Windows. Visual Basic 2010 or Visual Basic . Comparative analysis will be carried out based on the results of compression, ratio, and processing time in determining which algorithm is more optimal.
Enkripsi Citra Digital dengan IDEA Cipher: Pengacakan Blok Pseudorandom LCG dan Evaluasi Melalui Image Correlation Analysis Manovri Yeni; Tommy; Rosyidah Siregar
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 use of cryptography methods in digital image processing has become a crucial focus of research in safeguarding visual information. This study analyzes the utilization of the Linear Congruential Generator (LCG) as a block scrambling tool in the image encryption process using the International Data Encryption Algorithm (IDEA). The aim of this research is to evaluate the effectiveness of LCG in reducing correlation patterns among pixel blocks in encrypted images. In experiments conducted using image datasets from OpenDataset, the test results indicated a significant difference between encrypting images using regular IDEA and IDEA enhanced with LCG. The block scrambling method using LCG successfully generated encrypted images with correlation coefficient values approaching zero, signifying its effectiveness in obscuring correlation patterns among pixel blocks. Despite a decrease in Mean Squared Error (MSE) and slight degradation in the quality of the encrypted images, the evaluation results affirmed a significant improvement in the average correlation coefficient by 4.57. This indicates an enhanced security level for encrypted images against cryptanalysis leveraging correlation patterns, while considering compromises in image quality. The findings of this research affirm that utilizing LCG in block scrambling during image encryption with IDEA can produce encrypted images with higher security levels by reducing correlation patterns, albeit with a slight sacrifice in image quality. The implications of these findings might contribute to the development of security methods in digital image processing in the future
Implementasi Metode SMART Menentukan Penerima Beasiswa Bidikmisi Pada SMA Negri 2 Moro’o Kabupaten Nias Barat Rizkiman Waruru; Ade Zulkarnain Hasibuan; Tommy
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 Bidikmisi Scholarship is an education fee assistance program for prospective students who are economically disadvantaged and have good academic potential to study at university until they graduate on time. SMA Negeri 2 Moro'o West Nias Regency is one of the schools that runs the Bidikmisi scholarship program, the selection process takes three weeks to one month, with the selection process taking up to one month of course this is less efficient. Apart from that, it is feared that the resulting assessment will be subjective, where the assessment is based on personal interests, causing the scholarship to not be on target. The aim of this research is to build a decision support system to determine Bidikmisi scholarship recipients using the Microsoft Visual Basic programming language with the SMART ( Simple Multi Attribute Rating Technique ) method. at SMA Negeri 2 Moro'o, West Nias Regency. The system that has been designed using the Microsoft Visual Basic programming language can provide more precise information, because it uses the SMART ( Simple Multi Attribute Rating Technique ) method, so there is no longer any doubt in making a decision. It is hoped that the designed application will make it easier for SMA Negeri 2 Moro'o West Nias Regency to determine Bidikmisi scholarship acceptance
Co-Authors Amir Mahmud Husein, Mawaddah Harahap, Amir Andi Marwan Elhanafi Dedek Prasetyo Denny Abdul Malik Dwi Resty Ananda Fera Damayanti Ferdy Riza Harahap, Herlina Hasibuan, Ade Zulkarnain Herlina Harahap Jadi Olo Pangihutan Kalvin Chiuloto Liza Novietta Manovri Yeni Mawaddah Harahap Nenna Irsa Syahputri Nurcholis Geofany Qoshwie Fuady Risko Liza Rizkiman Waruru Rizko Liza Ruswan Nurmadi Siregar, Rosyidah Syahputri, Nenna Irsa Yessi Fitri Annisah Lubis