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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Pendas : Jurnah Ilmiah Pendidikan Dasar KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Jatilima : Jurnal Multimedia Dan Teknologi Informasi Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) MEANS (Media Informasi Analisa dan Sistem) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Informatics Management and Information Technology Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Bulletin of Information Technology (BIT) Bulletin of Multi-Disciplinary Science and Applied Technology Journal of Informatics, Electrical and Electronics Engineering JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi Interaksi : Jurnal Pengabdian Kepada masyarakat Jurnal Pengabdian Masyarakat Variasi
Sinurat, Sinar
Universitas Budi Darma, Medan
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Peningkatan Kontras Menggunakan Metode Contrast Limited Adaptive Histogram Equalization Pada Citra Paru-Paru Yang Kecanduan Rokok Fitri Handayani Lubis; Muhammad Syahrizal; Kennedi Tampubolon; Sinar Sinurat
JURIKOM (Jurnal Riset Komputer) Vol 8, No 1 (2021): Februari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v7i5.2284

Abstract

Image (Citra) is a combination of points, lines, fields, and colors to create an imitation of an object, usually a physical or human object. The use of digital images is increasing because of the advantages possessed by digital images, including the ease in getting images, reproducing images, processing images and others. The problem of contrast in the image captured by the camera is often some interference with the results of the captured image. For example, the image is accompanied by a lack of sharp increase in light, or weak in terms of contrast so that the object is very difficult to separate through operations containing because too much interference or contrast in the image. Based on the problem, to improve the image with less contrast it is necessary to increase the contrast by using the contrast limited adaptive method. contrast limited adaptive image is said to be good if it is able to involve all levels or levels. Of course the goal is to be able to display details in the image so that it is easily observed. 
Penerapan Metode Simple Moving Average Untuk Memprediksi Hasil Laba Laundry Karpet Pada CV. Homecare Nur Aini; Sinar Sinurat; Sumiaty Adelina Hutabarat
JURIKOM (Jurnal Riset Komputer) Vol 5, No 2 (2018): April 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.56 KB) | DOI: 10.30865/jurikom.v5i2.656

Abstract

CV. Homecare is a company engaged in the field of laundry carpet that serves customers in carpet washing, a business engaged in carpet laundry service for most still run the conventional system has not been using computerized data, especially in terms of predicting carpet laundry every month. Simple Moving Average is a model in making predictions. The moving average technique is used in predicting demand by calculating the average value and actual demand value of a certain number of previous periods. Each new prediction is set for a long period and used with the request of the new period, so the data on the calculation moves over time, in accordance with the name of this method. The simple moving average method is used for data that is unstable, has no trends, and does not use data weighting. With the existence of simple moving average method is one of the methods on time series prediction system model with computerized characteristics, about predicting the carpet can do apply the research technique of surgery expected carpet laundry company can do predict carpet income every month so that company can measure profit ratio which will be earned every month. So as to produce the system predicts the good results of carpet laundry results, which can be utilized and facilitate the users.
Rancangan Aplikasi Sistem Pakar Diagnosa Penyakit Mononukleosis Dengan Metode Naive Bayes Rizky Hasanah Restari; Sinar Sinurat; Suginam Suginam
JURIKOM (Jurnal Riset Komputer) Vol 7, No 3 (2020): Juni 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.596 KB) | DOI: 10.30865/jurikom.v7i3.2179

Abstract

Health is one of the important factors for carrying out daily activities. However, some people do not care about the health of their bodies so that in the end many diseases that are diagnosed late cause the condition at a serious stage. One of the diseases in question is mononucleosis. In general, if the community is exposed to symptoms of mononucleosis, they will go to the nearest hospital or health center to do the examination. But on the other hand they have to sacrifice enough time for that. For this reason, it is necessary to make an application for a disease diagnosis expert system for the community as a means of overcoming these problems. With this design, an expert system of mononucleosis is produced, where this system uses the naive bayes method and the doctor's knowledge into the system. This expert system will produce output / output in the form of the diagnosis of mononucleosis
Mendiagnosa Penyakit Mata Menggunakan Jaringan Saraf Tiruan dengan Menggunakan Metode Backpropagation dan Hopfield M Chairul Azmi; Sinar Sinurat
JURIKOM (Jurnal Riset Komputer) Vol 7, No 6 (2020): Desember 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v7i6.2592

Abstract

The eye is the most important organ of living things, especially humans. The main function of the eye is for the sense of sight. The eye has important parts such as the cornea, pupil, retina, sclera, eye lens and others. Eye health is an important thing for the health of the human body, because the eye is very helpful for carrying out daily activities. Everyday. Almost every human activity uses the eyes, for example reading, working, watching television, writing, driving, etc. so that many people agree that the eyes are the five most important senses. If the eye has eye disorders or diseases, it will have fatal consequences for human life. The problem faced in designing this system is the problem of diagnosing those affected by the disease. The neural network methods used are backpropagation and Hopfield to conclude which method has Hopfield to conclude which method has better accuracy in identifying which method has Hopfield. object discussed. In the backpropagation method, the pattern is trained through the first three phases, namely the forward propagation phase, the back propagation phase, and the weight change phase until the stopping conditions are met, while in the Hopfield method the training is carried out by doing a dot product between the input pattern vector and the vector. The Hopfield network is said to reach a maximum value if a stable pattern is recalled. Based on the results of trials on eye disease, it is known that the Hopfield method can recognize patterns faster than the backpropagation method with an average recognition time of 2.46 and 5.67 seconds.
Learning Text Data Security in Documents Using McEliece's Algorithm Sinar Sinurat; Edward R Siagian
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Computer Assisted Instruction (CAI) is a very interesting computer-based learning media and is able to increase students' learning motivation. One model of CAI is a tutorial in which the delivery of material is carried out in a tutorial manner, as a tutorial is done by a teacher or instructor. The development of this design idea is based on how to design learning software for the McEliece cryptographic algorithm using the Computer Assisted Instruction (CAI) tutorial model by displaying the key formation process, the encryption process and the decryption process in the McEliece cryptographic algorithm, and including the McEliece cryptographic algorithm as material in learning applications. . The results of this study show that the McEliece cryptographic algorithm learning software is designed using the Computer Assisted Instruction (CAI) tutorial model and is useful for showing every step and result of the key formation process, the encryption process and the decryption process contained in the McEliece cryptographic algorithm, so that can help understand or learn work procedures or algorithms from the cryptography.
Prediksi Kebutuhan Energi Listrik Pada PT. PLN (Persero) Rayon Aek Nabara Dengan Metode Exponential Smoothing Sarah Syahputri; Sinar Sinurat; Imam Saputra
Journal of Informatics, Electrical and Electronics Engineering Vol. 1 No. 1 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Palm oil production with timely operations, low cost, specifications according to the order is the target of a company. PT. Inti Indosawit Subur is a company that produces fresh fruit bunches (FFB) in the form of palm oil. During its operation, this company wants maximum profit. In achieving this company goal always considers other policies such as maximizing the total product with limited raw materials, and minimizing production costs. In this case, companies often experience reduced production and have not or are not prepared to make preparations when faced with a reduced production period. To help problems faced by PT. Inti Indosawit is fertile in carrying out its business activities, a prediction is needed. The prediction in question is how much Crude Palm Oil (CPO) will be in the coming period. In order to simplify the calculation process and obtain more optimal results, the process of calculating the amount of CPO using the Moving Average Method is attempted to assist the management of PT. Inti Indosawit Subur in predicting the amount of Crude Palm Oil (CPO) so that it does not experience reduced or excessive production so that the company prepares faster actions to meet consumer demand. The application will provide the appropriate amount of CPO from each production process so that the company will be assisted in making service policies for consumers in every request.
Sistem Pendukung Keputusan Menggunakan Intuitionistic Fuzzy Set Method Untuk Penentuan Personel Pengamanan Vip Direktorat Manik, Jens Presisken; Sinurat, Sinar; Siregar, Annisa Fadillah
JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi Vol. 3 No. 01 (2024): Desember
Publisher : Faatuatua Media Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70404/jikteks.v3i01.113

Abstract

Keamanan merupakan aspek yang sangat penting dalam menjaga integritas dan keselamatam individu,terutama dalam konteks pengaman VIP (Very Important Person). Direktorat Pengamanan VIP (PAMOBVIT) adalah sebuah organisasi yang bertanggung jawab untuk menyediakan personal pengamanan berkualitas tinggi utuk melindungi VIP. Proses penentuan personal pengamanan yang efektif dan efesien sangat penting untuk memastikan keberhasilan operasi pengamanan VIP. (DIPAMOBVIT).VIP, Tourist Security, dan Audit Sistem Keamanan Objek Penting Nasional (Perpol RI No.14 Tahun 2018). Adapun solusi terhadap permasalahan diatas yaitu dengan membangun suatu Sistem Pendukung Keputusan untuk membantu penentuan personil pengamanan VIV. Metode yang dipilih untuk mendukung pemecahan masalah diatas adalah metode Intuitionistic Fuzzy Sets yaitu dengan cara memberikan bobot pada tiap-tiap alternatif pilihan yang ada. Penelitian ini menghasilkan sebuah Sistem Pendukung Keputusan yang dapat merekomendasikan penentuan personil pengamanan VIV menggunakan metode Intuitionistic Fuzzy Sets. Dilakukan uji coba dengan memasukkan sampel data sebanyak 10 nama personil. Dengan adanya Sistem Pendukung Keputusan dapat memberikan rekomendasi untuk penentuan personil pengamanan VIV berdasarkan rangking, dari 10 nama personil berdasarkan rangking terkecil yaitu variabel: A10, A9, A5, A2, dan A1.
Implementasi Metode MAUT Dengan Pembobotan ROC Pada Sistem Pendukung Keputusan Penerimaan Calon Karyawan Baru Dedi Verianto Laia; Sinar Sinurat; Eferoni Ndruru
JURIKOM (Jurnal Riset Komputer) Vol 11, No 5 (2024): Oktober 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v11i5.8469

Abstract

Karyawan merupakan aset utama perusahaan yang menjadi perencana dan pelaku aktif dari aktivitas organisasi dimana Sistem Pendukung Keputusan adalah sistem yang membantu dalam memberikan hasil yang lebih maksimal, dimana terdapat beberapa metode dalam pengambilan keputusan, salah satunya adalah metode Multi Attribute Utility Theory (MAUT) yang berfungsi menentukan perangkingan yang dimana hasil perangkingan dari data calon karyawan baru digunakan sebagai keputusan, namun terdapat kekurangan MAUT ini karena tidak adanya bobot kriteria yang pasti dari PT. Binavalasindo Dolarasia Sejahtera Utama, sehingga dibutuhkan metode Rank Order Centroid (ROC) dalam menentukan pembobotan, yang dimana ROC digunakan untu mengevaluasi kinerja model klasifikasi dalam memprediksi kelas atau kejadian tertentu. Berdasarkan hasil penelitian yang telah diujikan, maka peneliti dapat memberikan kesimpulan bahwa penerimaan calon karyawan baru dengan menggunakan metode MAUT dengan 7 nama alternatif  dengan 5 kriteria dan nilai bobot yang didapatkan dengan metode ROC dengan hasil nilai tertinggi oleh Alfendy Yatatema Dawolo dengan alternatif A5 nilai 0,832 dan nilai terendah oleh Dharma Alfian Purba dengan alternatif A3 dengan hasil nilai 0,097. Pembobotan mengunakan metode ROC menjadikan penilaian lebih objektif karena sistem perhitungan nilai bobot dengan metode ROC mengurutkan dengan otomatis berdasarkan peringkat kepentingan kriteria.
Determining The Amount Of Tuition Fees For New Budidarma Students With Data Mining Using The K-Means Clustering Algorithm Sinar Sinurat
Jurnal Info Sains : Informatika dan Sains Vol. 15 No. 01 (2025): Informatika dan Sains , 2025
Publisher : SEAN Institute

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Abstract

One of the variables that determines the quality of education in higher education is the amount of fixed tuition fees that must be paid by students to the academic community, which must be in sync with their parents' income. Although the quality of education can be measured from the consistency of supervision, compliance of teachers and students with the System Operating Procedure (SOP), and the availability of complete teaching and learning infrastructure. In private universities, to determine fixed tuition fees, one method that can be used is to find patterns or information on fixed tuition fees at other private universities in the same area (region) by drawing from a large database, which is data mining. It is very important for a private university to know the patterns of prospective students from the data in the database owned by a campus. This technique is the K-Means Clustering Algorithm. The results of the discussion will describe the amount of affordable tuition fees that will be provided with a list with variations based on the study program chosen by prospective students, where each department is distinguished by the completeness of administration and infrastructure in the study program.
Penerapan Algoritma Salsa20 Untuk Mengamankan Sandi Akun Virtual Hasibuan, Muhammad Abdul Rasyid; Sinurat, Sinar
MEANS (Media Informasi Analisa dan Sistem) Volume 9 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

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Abstract

The application of the SALSA20 algorithm in securing virtual account passwords aims to increase the security of users' personal data in an increasingly complex digital era. The SALSA20 algorithm, which is known as one of the efficient and secure stream cipher algorithms, has superior characteristics in terms of speed and resistance to cryptanalysis attacks. This research explores the implementation of SALSA20 in a virtual account password security system, testing the performance of this algorithm under various conditions and comparing it with other commonly used cryptographic algorithms, such as AES (Advanced Encryption Standard). The research results show that SALSA20 is able to provide a high level of security with a faster execution time compared to several other algorithms. Testing includes analysis of encryption and decryption speed, system resource usage, as well as resistance to various types of attacks, such as brute force and differential analysis attacks. In addition, the integration of SALSA20 in real applications shows that this algorithm is easy to implement and provides significant protection against attempts to steal user passwords and personal data.
Co-Authors Anggiat Hatuaon Sihite Annisa Fadillah Siregar Berliana Oktaviani Sinaga Debi Razabni Erika Medinah Dedi Verianto Laia Dongoran, Atriyanti Ratu Pelita Edward R Siagian Edward R Siagian Eferoni Ndururu Fitri Handayani Lubis Hasibuan, Muhammad Abdul Rasyid Hidayah, Wahyu Hondro, Yuliani Susiawati Hutabarat, Sumiaty Adelina Hutahaean, Yosefa Fras Imam Saputra Imam Saputra Indah Lestari Lumban Gaol Kennedi Tampubolon Laia, Dedi Verianto M Chairul Azmi M. Iqbal Kurniansyah Mahadi Winafil Manalu, Juliadi Manik, Jens Presisken Megawati Minarya Sitepu Mita Erlida Sipahutar Muhammad Syahrizal Munte, Joni Murdani Ndruru, Eferoni Nur Aini Nusra Anwar Riswan Limbong Rizki Dermawan Rizky Hasanah Restari Sarah Syahputri Siagian, Edward Robinson Siagian, Widyanti Masintan Siburian, Henry Kristian Simanullang, Putri M Sinaga, Sony Bahagia Sofi Andianis Fau Suginam Syahputra, Ridwa Tarigan, Pilipus Taronisokhi Zebua Tonggam Harado Wilson Sinaga Ulfa, Kurnia Winafil, Mahadi Yitro Moarota Harefa