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All Journal Jurnal TIMES Jurnal Teknologi Informasi dan Ilmu Komputer ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Instal : Jurnal Komputer Journal of Mathematics and Scientific Computing With Applications EXPLORER Prosiding Snastikom Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) All Fields of Science Journal Liaison Academia and Sosiety Jurnal Pengabdian Masyarakat Bangsa Buletin Utama Teknik
Imran Lubis
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Metode One Time Pad sebagai Verifikasi Akun E-Wallet dalam Pencegahan Cybercrime Sarifah, Sarifah; Faisal, Ilham; Lubis, Imran
Explorer Vol 5 No 1 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v5i1.1817

Abstract

This research aims to improve security when every time a user logs in or makes a transaction, an OTP (One time pad) will be sent via email, the OTP code is generated randomly and can only be accessed by the account party that has a valid and valid OTP key at that time. certain. Using the one time pad algorithm provides a very high level of security, because the resulting OTP is unique for each transaction. However, its implementation requires strict discipline in key management and proper encryption or decryption processes so that it can function optimally. This system is designed for account user security to prevent data leaks, thereby minimizing the potential for crimes such as identity theft and fraud. The research results show that not a single OTP was repeated in the 10 transactions carried out. Each OTP code generated is unique and different from previous OTPs, both on successful and failed transactions, proving the effectiveness of the system. This website was created using Visual Studio Code to ensure a stable and efficient system implementation
PROTOTYPE POWER USE EFFICIENCY SYSTEM ON RFID AND PASSIVE INFRARED ELECTRONIC DEVICES Siregar , Diana Novita; Lubis, Abdul Jabbar; Lubis, Imran
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (909.081 KB) | DOI: 10.53806/jmscowa.v3i1.55

Abstract

The problem that is often faced today is when we travel out of a room and we forget to turn off electronic devices in the room which results in a surge in costs that must be paid for wasteful use of electronic goods, in this modern era many ways can be done to make automatic system that aims to help human work, in this system the author makes a system that can save electricity usage. By using the PIR sensor to detect movement, and if there is movement inside the room then the electronic goods will live and, if the user wants to use power without having to turn off automatically, then the user can use the RFID card to be affixed to the electronic goods will continue to live until the card is removed from the RFID module, and the buzzer will sound if the user attaches the card to the RFID module incorrectly, to make it easier for the user to see the current conditions, then install the LCD to make it easier for the user to know the current condition.
ANALISIS PENERAPAN METODE WASPAS DAN METODE TOPSIS PADA SISTEM PENDUKUNG KEPUTUSAN DALAM MEMILIH ASET DIGITAL NFT GUNA SEBAGAI INVESTASI YANG BERHARGA DI MASA DEPAN Lubis, Imran; Budiman, Arief; Siregar, Muhammad Ramulia
Buletin Utama Teknik Vol 20, No 2 (2025): Edisi Januari
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/but.v20i2.10928

Abstract

Perkembangan teknologi blockchain, terutama Non Fungible Tokens (NFT), telah menciptakan tantangan bagi investor dalam menentukan nilai investasi yang tepat. Penelitian ini bertujuan untuk mengembangkan sistem pendukung keputusan menggunakan metode Weighted Aggregated Sum Product Assessment (WASPAS) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk menilai NFT sebagai alternatif investasi. Proses penelitian melibatkan beberapa tahap, termasuk identifikasi masalah, analisis permasalahan, studi literatur, pengumpulan data, dan analisis data.Kriteria yang digunakan dalam penilaian NFT mencakup harga, pemilik/asal usul, format, kelangkaan, dan industri, masing-masing dengan bobot yang ditetapkan. Setelah mengumpulkan data tentang berbagai NFT, matriks keputusan dibangun dan dinormalisasi untuk mencerminkan kinerja setiap alternatif. Metode WASPAS dan TOPSIS digunakan untuk memberikan nilai preferensi bagi setiap alternatif NFT berdasarkan kedekatannya dengan solusi ideal positif dan negatif. Hasil analisis menunjukkan bahwa NFT yang diberi nama "Video Klip" (A3) memiliki nilai tertinggi dengan preferensi 0,671, diikuti oleh "Lagu" (A5) dengan nilai 0,445, dan "Buku" (A2) dengan nilai 0,465. Sementara itu, "Foto Selvie" (A4) dan "Foto" (A1) memiliki preferensi terendah masing-masing 0,196 dan 0,189. Penelitian ini memberikan kontribusi dalam pengambilan keputusan investasi NFT, dengan menyediakan pendekatan sistematis dan berbasis data yang dapat mengurangi risiko dan memaksimalkan potensi keuntungan bagi investor. Kombinasi metode WASPAS dan TOPSIS menawarkan kerangka kerja yang komprehensif untuk penilaian NFT, sehingga dapat diadopsi oleh investor dan pengembang platform NFT dalam mengevaluasi nilai aset digital secara lebih efektif
PENGELOMPOKKAN MENGGUNAKAN METODE CLUSTERING UNTUK PEMBERIAN OBAT PADA PASIEN BPJS Ariska, Dedek; Simanjuntak, Magdalena; Lubis, Imran
Journal of Mathematics and Technology (MATECH) Vol. 2 No. 2 (2023): Journal MATECH (November 2023)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v2i2.153

Abstract

BPJS Kesehatan merupakan badan hukum yang menyelenggarakan program jaminan Kesehatan yang dibentuk untuk menyelenggarakan jaminan sosial dinamakan Badan Penyelenggara Jaminan Sosial (BPJS). Pada saat ini Pemberian resep obat di rumah sakit juga dilakukan oleh dokter sesuai dengan standar yang sudah ditetapkan oleh rumah sakit berdasarkan penyakit yang diderita oleh pasien yang menggunakan jasa dari jaminan pelayanan kesehatan. Karena banyaknya pasien yang menggunakan jasa BPJS menyebabkan menumpuknya data-data pemberian obat pada pasien, sehingga menyulitkan pihak instansi dalam mengolah data pemberian obat pada pasien, masalah ini sering terjadi karena data yang tersimpan masih tercatat secara terpisah antara laporan pemberian obat dan laporan data pasien BPJS sehingga sangat sulit dalam mengetahui jumlah pemberian obat yang ada saat ini. Untuk itu diperlukan suatu sistem tambahan yang akan digunakan dalam pengelompokkan pemberian obat pada pasien BPJS menggunakan variabel - variabel yang sudah ditentukan dengan menggunakan metode clustering, agar nantinya dapat mempermudah admin dalam mengolah data dan informasi yang ada. Dari 20 data yang digunakan sebagai sampel didapatlah hasil yang dibagi menjadi 3 yaitu grup 1 terdapat 12 data dan 2 grup terdapat 3 data dan grup 3 terdapat 5 data. Dengan penjelasan dengan titik Centroid pada grup 1 yaitu (3.50) (16.58) (13.17) dapat diketahui bahwasannya pada cluster 1 kelompok pemberian obat pada grup usia (X) adalah 36-45 Tahun, dan untuk kelompok jenis penyakit (Y) yang dialami oleh pasien adalah Hipertensi dengan penanganan pemberian Resep obat (Z) yaitu Clonidin 0,15 tab.
THE USE OF DEMPSTER SHAFER'S METHOD FOR DIAGNOSING ACUTE RENAL FAILURE IN CHILDREN Nopita, Siska; Simanjuntak, Magdalena; Lubis, Imran
Journal of Mathematics and Technology (MATECH) Vol. 2 No. 2 (2023): Journal MATECH (November 2023)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v2i2.156

Abstract

Acute kidney failure (acute kidney injury) is a condition in which the kidneys stop functioning suddenly. Acute kidney failure is known to attack children in the age range of 6 months-18 years, as of October 18, 2022, a total of 118 cases have been reported, most of which are dominated by ages 1-5 years. This condition can occur due to impaired blood flow to the kidneys, disorders in the kidneys, or blockages in the urinary tract, with initial symptoms in the form of gastrointestinal infections and symptoms of ARI, the typical symptom is the amount of urine that decreases even can not tub at all. In such conditions, it is already an advanced phase and must be immediately taken to health facilities such as hospitals. Acute renal failure in children is a significant health problem. Its prevalence has increased in recent years and can have serious repercussions on children's health. Acute kidney failure can lead to impaired kidney function, an increased risk of complications such as edema, electrolyte disturbances and impaired body fluid balance. The process of diagnosing acute kidney failure in children can be challenging because the symptoms and signs are often nonspecific. The Diagnosis is made based on clinical evaluation, laboratory tests such as urine and blood analysis, and imaging exams if necessary. Because the knowledge and information of the community / patient is still lacking, causing delays in handling the early symptoms of acute kidney failure in children. Therefore, it is necessary to have a system in addressing the problem of acute kidney failure in children by knowing the early symptoms of the disease and other information. The system that will be built will be able to detect acute renal failure disease with symptoms suffered by patients using the dempster shafer method at the output of the system. The purpose of this study is to design an expert system application using the Dempster Shaper method in diagnosing kidney failure in children.
PENERAPAN DATA MINING UNTUK PREDIKSI PENJUALAN SPANDUK MENGGUNAKAN ALGORITMA C4.5 Triawan, Bagus; Lubis, Imran; Kadim, Lina Arliana Nur
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 2 (2024): Journal MATECH (November 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i2.172

Abstract

Selling banners is an essential part of the advertising business, and having the ability to predict sales can assist companies in more effective production and marketing planning. In this research, we collected banner sales data from January to June 2023 and used the C4.5 algorithm to process the data. The decision tree method can help address issues occurring in the store. RapidMiner will aid in determining which products are more popular and less popular. Using the RapidMiner method will yield more accurate decision data and simplify product analysis. Based on the research findings, banners frequently ordered by consumers. The results of this research can serve as a guide for companies to optimize their banner sales strategies.
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.
Co-Authors Abdul Jabbar Lubis, Abdul Jabbar Andi Marwan Elhanafi, Andi Marwan Annisah, Yessi Fitri Arief Budiman Ariska, Dedek Bagus Triawan, Bagus Budi Budi Edy Rahman Syahputra, Edy Rahman Faisal, Ilham Fera Damayanti Ferdy Riza Handoko, Divi Harahap, Herlina Hutagalung, Hasan Basri IRWAN, DEDY Kadim, Lina Arliana Nur Khairani, Mufida lubis, husni lubis, ihsan Manik, Burju Manik Muhammad Hidayat Nopita, Siska Rachmat Aulia, Rachmat Ramadani, Suci Ria Pasaribu, Tio Rifqi, Luthfi Ahmad Sarifah Sarifah Simanjuntak, Magdalena Sirait, Ricoplyando Siregar , Diana Novita Siregar, Muhammad Ramulia Siregar, Rosyidah Syahputri, Nenna Irsa Syaiful Ikhram Lubis T.M Diansyah Tommy, Tommy Triwardana, Ravly Zul'Aini, Nurul Hasanah