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Journal : Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA)

Rancang Bangun Tempat Sampah Pintar Berbasis Arduino Uno: Array Sirait, Ricoplyando; Lubis, Imran
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 3 No. 1 (2021): Edisi April
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v3i1.355

Abstract

The trash can is a container that can temporarily accommodate trash. Arduino uno-based smart trash can which includes an LCD sensor as a medium for displaying text in the trash. The PIR sensor functions as a motion detector for human presence, and the Green LED for notification of human presence in the trash, the Red LED for notification of full trash cans, and the Servo motor is used as a tool for opening and closing, and the ultrasonic sensor for detecting the volume of waste, and the buzzer as a tool for opening and closing. beep notification, if the pir sensor reads the presence of a person, if the volume of trash has entered 17cm distance that the Red LED will be High.
Perbandingan Kinerja Ipcop dengan Honeypot dalam Mengamankan Server Linux dari Serangan Hacker: Array Manik, Burju Manik; Lubis, Imran
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 3 No. 1 (2021): Edisi April
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v3i1.356

Abstract

Research to install IPCop and honeypot on server computers and implement IPCop by way of configuration to protect the server from unauthorized parties. The software used in this research is IPCop, Manjaro Linux, Shootpress, Windows 10, and Virtual Box. The results of this study indicate that the implementation of IPCop as a security system on the server can be done and can run well. IPCop is able to protect servers from hacker attacks very well, even using IPCop hackers are not able to ping the server, so hackers cannot find out information about the target server. Honeypot implementation as a security system on a linux server can be done and can run well. Honeypot is able to protect the server from hacker attacks well through its virtual server. So that hackers do not know where the original server is and the hacker will only attack the virtual server from the honeypot and think as if the server is the real server. In this case IPCop is better than the honeypot in the server security system
Augmanted Reality Dengan Metode Marker Based Tracking Struktur Dan Fungsi Jaringan Tumbuhan Hutagalung, Hasan Basri; Lubis, Imran; Aulia, Rachmat
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.v6i1.914

Abstract

Learning the structure and function of plants is done to achieve the basic competencies (KD)studied. Learning the structure and function of plant tissues can be carried out well with aninteresting learning interaction between educators and students. Therefore, there is somethingnew by using Augemented reality (AR) which makes learning more interesting and will fosterthe interest of students. The problems studied by researchers about how the description of theneeds of Augemented reality-based simulations on plant tissue structure and how the validityand practicality of Augemented reality-based simulation media development with Marker-basedtracking method in plant tissue structure lessons. Later with the problems studied by the authorshave a goal that the use of Augemented reality later in simulation media can provide a betterlearning experience that is interesting and interactive for students and students can use mobiledevices or tablets that are commonly used when accessing AR simulations. Analysis of systemproblems that are being researched by the author using software and hardware that helps to work on Augemented reality for new learning for students about learning the structure andfunction of plant tissues that contain 3D information. The results of the research obtained by theauthor can make Augemented reality applications to increase the interest of students bydisplaying 3D images and containing more interesting information to increase students to learnin the future. The conclusion of the research that has been done to increase students' interest inlearning about the structure and function of plant tissue material
Analisis Penerapan Waspas dan Topsis pada Sistem Pendukung Keputusan dalam Memilih Aset Digital NFT Guna Siregar, Muhammad Ramulia; Lubis, Imran; Budiman, Arief; Budi, Budi
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 6 No. 2 (2024): Edisi Oktober
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v6i2.1039

Abstract

The development of blockchain technology, especially Non-Fungible Tokens (NFT), has created challenges for investors in determining the right investment value. This study aims to develop a decision support system using the Weighted Aggregated Sum Product Assessment (WASPAS) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to assess NFT as an investment alternative. The research process involves several stages, including problem identification, problem analysis, literature study, data collection, and data analysis. The criteria used in assessing NFT include price, owner/origin, format, rarity, and industry, each with a set weight. After collecting data on various NFTs, a decision matrix is ​​constructed and normalized to reflect the performance of each alternative. The WASPAS and TOPSIS methods are used to assign preference values ​​to each NFT alternative based on their proximity to the positive and negative ideal solutions. The analysis results show that NFT named "Video Clip" (A3) has the highest value with a preference of 0.671, followed by "Song" (A5) with a value of 0.445, and "Book" (A2) with a value of 0.465. Meanwhile, "Selvie Photo" (A4) and "Photo" (A1) have the lowest preferences of 0.196 and 0.189, respectively. This study contributes to NFT investment decision making, by providing a systematic and data-driven approach that can reduce risk and maximize potential profits for investors. The combination of WASPAS and TOPSIS methods offers a comprehensive framework for NFT valuation, so that it can be adopted by investors and NFT platform developers in evaluating the value of digital assets more effectively.