Article Per Year (5 Year)
p-Index From 2021 - 2026
5.553
P-Index
This Author published in this journals
All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika Universitas Pamulang Query : Jurnal Sistem Informasi ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) E-Link: Jurnal Teknik Elektro dan Informatika Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Kesehatan Tambusai JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen Journal of Informatics Management and Information Technology Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Brilliance: Research of Artificial Intelligence EXPLORER Prosiding Snastikom Digital Transformation Technology (Digitech) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Bangsa Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Pengabdian Masyarakat
Harahap, Herlina
Universitas Harapan Medan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 44 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 44 Documents
Search

 1   2   3   4   5 
Analysis Of Decision Support Systems Edas Method In New Student Admission Selection Yunita Sari Siregar; Ahmad Zakir; Nenna Irsa Syahputri; Herlina Harahap; Divi Handoko
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2057

Abstract

University of Harapan Medan is one of the private tertiary institutions in North Sumatra which has an informatics engineering study program. The informatics engineering study program is a study program that has many enthusiasts. Every year this study program graduates more than 200 students. To produce graduates who have potential, reliability and competence in the field of technology and information, it is necessary to make a selection at the beginning, namely at the time of admission of new students. There are 5 criteria used in the selection process, including the average report card score, basic ability test, computer ability test, psychological test, and interview. Each criterion has 5 weights of values, namely very high, high, medium, low and very low.  The selection process for admission of new informatics engineering students with a decision support system for the EDAS (Evaluation Based On Distance From Average Solution) method.  Where the stages in this method are by normalizing the decision matrix and looking for the average from alternatives, then from these results calculate the average positive distance (PDA) and negative distance (NDA) as well as the assessment of the weighted attribute weights of SPi and SNi, after that the normalization of positive and negative distance weights is carried out for determining the ranking score. From the results of the analysis carried out using the EDAS method, with a sample of 10 prospective students it was concluded that the 6th order student candidate had the highest score with a score of 0.519 and the lowest score in the 7th order student with a score of 0.14. Therefore, the level of accuracy of the EDAS method in selecting new student admissions is around 20%. Of course, this accuracy value will change with large data samples.
Analisis Existing Convolutional Neural Network Untuk Klasifikasi Usia Pengunjung Rumah Sakit: Studi Kasus Pemantauan Anak dan Dewasa Harahap, Herlina; Rahman, Sayuti; Zen, Muhammad; Suriati, Suriati
Explorer Vol 4 No 1 (2024): January 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v4i1.881

Abstract

The purpose of this study is to examine the Convolutional Neural Network (CNN) model for classifying the age groups of hospital visits, both children and adults. Hospitals serve as treatment facilities for a variety of ailments caused by viruses, germs, car accidents, and other factors. Children are not permitted to visit the hospital due to hurdles to patient comfort as well as hazards associated with immunity and trauma to children. As a result, a digital strategy is required to monitor the presence of youngsters in the hospital setting. The notion of computer vision and the Convolutional Neural Network (CNN) are employed in this study to attain this goal. The dataset utilized is All-Age-Faces (AAF), which includes photos of human faces ranging in age from 2 to 80 years. To categorize visitors into children or adults, two CNN architectures, ResNet and SqueezeNet, are used with fine-tuning (FT) and full retraining (FR) approaches. The accuracy of FR-ResNet was 97.22%, beating the accuracy of the previous research FT-SqueezeNet, which was 93.09%, better to 4.13%. This study confirmed that the use of CNN, namely the FR-ResNet technique, was effective in accurately categorizing the age of hospital visits. Controlling children's access to hospital areas can help reduce the danger of illness transmission.
Integration of Probabilistic Multi-Class Labeling and Adaptive K-Means Clustering with KNN Classification: Application to Weather Data Lubis, Husni; Lubis, Ihsan; Harahap, Herlina; Tommy, Tommy; Siregar, Rosyidah
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20905

Abstract

Clustering and classification technologies are pivotal in data analysis, helping to uncover hidden patterns in complex datasets. Despite their broad applications across fields such as pattern recognition, market segmentation, anomaly detection, and weather prediction, these techniques face significant limitations. Clustering methods like K-Means assume known cluster numbers and data distributions, while classification approaches such as K-Nearest Neighbors (KNN) rely heavily on the quality of labeled data. These challenges are particularly pronounced in the context of dynamic weather data, which exhibits high variability and complexity. This research addresses these limitations by integrating probabilistic multi-class labeling with an adaptive K-Means clustering approach. Probabilistic labeling allows data points to belong to multiple classes, reflecting the nuanced nature of overlapping weather conditions. Adaptive K-Means dynamically determines the optimal number of clusters, overcoming traditional constraints. By combining these methods with KNN classification, the proposed approach enhances the accuracy of weather classification. KNN leverages cluster centroids and class probabilities to provide more precise predictions. This approach provides a robust foundation for further research and optimization of adaptive methods applicable to other complex data types. Ultimately, the proposed model contributes significantly to advancing data analysis methods, particularly for dynamic and multi-class datasets like weather data.
Pelatihan Pembelajaran Google Meet Bagi Guru di UPTD SD Negeri 15 Padang Genting Kabupaten Batubara Siregar, Yunita Sari; Herlina Harahap; Nenna Irsa Syahputri; Divi Handoko; Dedy Irwan
Jurnal Pengabdian Masyarakat Vol. 1 No. 1 (2022): Juni 2022
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v1i1.9

Abstract

In the era of increasingly developing technology, the use of computers is not only used to facilitate work in offices, but can be used as a medium of learning in the classroom for teachers. There are many applications on computers that can be used to support the teaching and learning process of students in schools such as media provided by Google. Google is one of the largest providers of web facilities with various online learning applications such as google classroom, google docs, google meet, jamboard and so on. This community service activity was carried out at the UPTD SD Negeri 15 Padang Genting, Batubara Regency by utilizing the Google Meet media, where the participants in this activity were 12 teachers. The purpose of this activity is to add insight, knowledge for teachers in teaching and learning activities and the effectiveness of time to be able to keep getting knowledge and material from teachers in schools. The results of this training activity are expected that teachers can improve the utilization and use of information technology as a learning medium and know the function of the tools provided by Google Meet.
Inovasi Edukasi : Pemberdayaan Siswa Sekolah Menengah Melalui IoT Learning Lubis, Imran; Tommy, Tommy; Siregar, Rosyidah; Syahputri, Nenna Irsa; Harahap, Herlina; Damayanti, Fera
Jurnal Pengabdian Masyarakat Bangsa Vol. 1 No. 12 (2024): Februari
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v1i12.750

Abstract

Kegiatan pengabdian kepada masyarakat dengan judul "Inovasi Edukasi: Pemberdayaan Siswa Sekolah Menengah Melalui IoT Learning" bertujuan untuk mengatasi kesenjangan antara tuntutan pasar kerja yang semakin kompetitif dan kurikulum pendidikan yang masih terfokus pada aspek tradisional di banyak sekolah menengah atas, terutama di sekolah di luar wilayah perkotaan yang sering mengalami keterbatasan sumber daya dalam mendukung pengajaran teknologi canggih seperti Internet of Things (IoT). Meskipun IoT memiliki potensi untuk memotivasi siswa dan memberikan pengalaman belajar yang interaktif, tantangan integrasi teknologi ini ke dalam kurikulum pendidikan tetap menjadi perhatian, terutama dalam hal pelatihan tambahan bagi guru dan siswa. Kegiatan ini, dilaksanakan di SMA Nur Azizi Tanjung Morawa, melibatkan 20 siswa dan mencakup metode penyampaian materi interaktif, demo simulasi IoT, dan praktikum langsung. Evaluasi menunjukkan bahwa 65% dari peserta berhasil dalam simulasi IoT, sedangkan sisanya mengalami kesulitan. Harapannya, hasil kegiatan ini memberikan solusi bagi institusi pendidikan dalam mengatasi tantangan pengajaran teknologi di era digital.
Menggali Potensi Teknologi: Sosialisasi QR Code Dalam Sistem Absensi Digital Tommy, Tommy; Khairani, Mufida; Siregar, Rosyidah; Lubis, Imran; Syahputri, Nenna Irsa; Harahap, Herlina; Elhanafi, Andi Marwan; Irwan, Dedy
Jurnal Pengabdian Masyarakat Bangsa Vol. 2 No. 4 (2024): Juni
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v2i4.965

Abstract

Qrcode dan aplikasinya pada absensi digital merupakan salah satu teknologi yang memiliki dampak aplikatif yang sangat berguna pada saat sekarang ini. Pemahaman teknologi tersebut menjadi kebutuhan penting bagi generasi muda, khususnya pada bidang teknologi, untuk dapat bersaing di masa yang akan datang. Pengenalan tentang teknologi kode QR dan sistem absensi digital sangat penting bagi siswa SMA Nur Azizi di Tanjung Morawa. Melalui kegiatan pengabdian masyarakat ini, siswa diperkenalkan dengan konsep kode QR dan penerapannya dalam sistem absensi digital. Dengan penyampaian materi dan praktik langsung, siswa diharapkan dapat memahami dan mengaplikasikan teknologi kode QR dalam kehidupan sehari-hari mereka. Respon antusias dari siswa menunjukkan minat mereka yang besar dalam memanfaatkan teknologi ini secara efektif. Tujuan utama kegiatan ini adalah memberikan wawasan dan keterampilan praktis kepada siswa tentang penggunaan kode QR dalam konteks absensi digital, sehingga mereka dapat lebih siap menghadapi era digital yang terus berkembang. Inisiatif ini tidak hanya bertujuan untuk meningkatkan pengetahuan teknis siswa, tetapi juga untuk membentuk pola pikir pembelajaran yang berkelanjutan dan adaptasi terhadap teknologi baru. Dengan mengintegrasikan keterampilan ini ke dalam pengalaman sehari-hari, siswa dapat mempersiapkan diri dengan lebih baik untuk menghadapi kemajuan teknologi. Pendekatan komprehensif ini memastikan siswa menjadi peserta aktif dalam pengembangan dan penerapannya.
Application Optimazion Of Fidelity Watermarking Digital Imegery Discrete Fourier Transform Method And Rivest Shamir Adleman Algorithm Wulan, Nur; Harahap, Herlina; Sari Siregar, Yunita
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5126

Abstract

As the field of information and communication technology continues to evolve, the potential for digital crimes increases significantly. Information technology plays a key role in facilitating various human activities in the fields of communication and data exchange. The use of digital data, such as documents, photos, videos, and audio, still creates many challenges in proving ownership.. The proliferation of social media platforms like Facebook, Instagram, and TikTok has made it easier for individuals to duplicate, damage, or even steal content, often for malicious purposes related to copyright infringement.To secure digital image data, the technique of fidelity watermarking using Discrete Fourier Transform (DFT) and cryptographic authentication with the Rivest-Shamir-Adleman (RSA) algorithm can be utilized. Watermarking is a technique that embeds information into an image, serving to provide identification marks and secure copyright information. This process does not damage the original image quality. DFT is a watermarking technique that has the capability to convert the image back to the spatial domain after embedding the watermark. On the other hand, RSA is a cryptographic technique that enables data encryption using a public key and decryption with a private key. In the context of image watermarking, RSA is used to secure the watermark information embedded within the image. Watermark information that is encrypted using the public key can only be accessed or decrypted by the party possessing the private key. This enhances the security of the watermark and ensures that the information embedded within the image remains safe, even if the image is shared.
Pengembangan Sistem Keamanan Pusat Data dengan Memanfaatkan Group Policy Management Harahap, Herlina; Handoko, Divi
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.v6i1.1075

Abstract

The increasing development of data communications makes the aspect of data security and confidentiality increasingly important. Information technology is developing very rapidly in human life today, making the need for a centralized data storage system important for storing digital archives and documents. Along with this progress, the need for security on storage media is very necessary because technological progress is directly proportional to the crimes that exist on the internet itself. Therefore, how to build a Data Center security system on a LAN network using Group Policy Management on Windows Server 2012 with the aim of providing Data Center security based on user actions in moving data from client computers to other storage locations. By building this system, users will be able to prevent theft of data on clinet computers. To secure data, it is necessary to have tools that can be used to manage security and several other policies in the Microsoft Windows program. With Active Directory and Group Policy Management in Window Server 2012 it provides an easy and effective way to manage preferences and settings for computers and users. Group Policy Management provides a very simple way to see what's happening within a particular Group Policy Object (GPO). Based on the testing, it can be concluded that the existence of Group Policy Management can improve the data security system so that the data cannot be copied or duplicated and stored in other storage media.
Eksplorasi Data Sains: Mengubah Data Menjadi Nilai Dalam Dunia Teknologi Lubis, Husni; Lubis, Ihsan; Syahputra, Edy Rahman; Lubis, Imran; Syahputri, Nenna Irsa; Tommy, Tommy; Harahap, Herlina; Elhanafi, Andi Marwan; Siregar, Rosyidah; Khairani, Mufida
Jurnal Pengabdian Masyarakat Bangsa Vol. 2 No. 12 (2025): Februari
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v2i12.2058

Abstract

Penguasaan data sains menjadi keterampilan yang semakin dibutuhkan di era digital, termasuk bagi lulusan sekolah menengah kejuruan (SMK) pada bidang Teknologi Komputer dan Jaringan (TKJ) serta Rekayasa Perangkat Lunak (RPL). Namun, pembelajaran mengenai analisis data di tingkat SMK masih terbatas, sehingga siswa kurang memahami bagaimana data dapat dimanfaatkan dalam bidangnya. Pengabdian masyarakat ini bertujuan untuk mengenalkan konsep dasar data sains kepada siswa SMK Nurul Amalia Tanjung Morawa melalui pelatihan berbasis praktik. Kegiatan ini melibatkan beberapa tahap, mulai dari penyusunan materi, pelaksanaan pelatihan, hingga evaluasi. Metode pembelajaran yang digunakan adalah pendekatan teoritis dan hands-on learning melalui studi kasus yang relevan dengan dunia industri. Hasil evaluasi menunjukkan bahwa pelatihan ini meningkatkan pemahaman siswa terhadap konsep dasar data sains serta keterampilan mereka dalam melakukan analisis data sederhana. Siswa juga menunjukkan antusiasme tinggi untuk mendalami lebih lanjut bidang ini. Dari hasil kegiatan ini, disarankan agar materi data sains diintegrasikan ke dalam kurikulum SMK serta dilakukan pelatihan lanjutan untuk memperdalam keterampilan siswa dalam analisis data dan implementasi teknologinya. Selain itu, kolaborasi dengan industri dapat menjadi langkah strategis untuk memperkuat kesiapan siswa dalam menghadapi dunia kerja berbasis data.
Penerapan Algoritma Lempel Ziv-Welch Dan Teknik Steganografik Adaptif Pada Gambar Digital Harahap, Herlina; Budiman, Arief
SNASTIKOM Vol. 1 No. 01 (2022): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2022
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Steganografi merupakan seni dan ilmu menyembunyikan pesan rahasia di dalam pesan lain sehingga keberadaan pesan tersebut tidak terdeteksi. Dalam dunia digital, steganografi sering digunakan untuk mengirimkan informasi rahasia serta untuk pengarsipan data digital. Teknik ini berbeda dengan kriptografi yang hanya menyembunyikan makna pesan tanpa menyamarkan keberadaannya. Pada era digital, steganografi telah berkembang dengan berbagai metode, salah satunya adalah Adaptive Steganography yang banyak diterapkan pada berkas multimedia seperti citra digital. Namun, penyembunyian citra digital dalam citra lain membutuhkan citra penampung dengan ukuran besar, yang sering menjadi kendala. Untuk mengatasi hal ini, mekanisme seperti kompresi diperlukan.Kompresi adalah teknik yang bertujuan menghilangkan redundansi atau informasi berlebih pada data digital sehingga ukuran data menjadi lebih kecil tanpa kehilangan esensi informasi. Berbagai metode kompresi telah dikembangkan, termasuk metode Lempel Ziv Welch (LZW). LZW menggunakan teknik dictionary encoding, menggantikan sekumpulan karakter dengan referensi dari pustaka acuan. Metode ini lebih efektif dibandingkan beberapa metode lain, seperti LZ78, yang sering menghasilkan penggantian karakter lebih panjang dari karakter aslinya. Beberapa penelitian, seperti yang dilakukan oleh Musril, Jain, dan Paula Aguilera, telah membahas perbandingan metode kompresi dan peningkatan rasio kompresi dengan algoritma seperti Adaptive Huffman dan LZW. Penelitian ini bertujuan untuk mengimplementasikan metode Lempel Ziv Welch dan Adaptive Steganography pada citra digital. Dengan menggabungkan kedua metode tersebut, penelitian ini diharapkan dapat mengatasi kendala ukuran citra penampung yang besar serta meningkatkan efisiensi dalam penyembunyian data digital. Studi ini juga berpotensi memberikan kontribusi signifikan dalam pengembangan teknik penyembunyian data dan pengelolaan informasi digital secara aman dan efektif.
Co-Authors Ahmad Zakir, Ahmad Ainun Naimah Pulungan Amelia Siregar Andi Arief Andi Marwan Elhanafi Andi Marwan Elhanafi, Andi Marwan Annisa, Syara Ariangga, Afrilian Arief Budiman Arnes Sembiring Asih, Munjiat Setiani Bella Puspita Boni Oktaviana Sembiring Dedy Irwan Dewi, Arie Rafika Dharmawati Dinda Cahya Ramadhani Divi Handoko Divi Handoko Dodi Siregar Edy Rahman Syahputra, Edy Rahman Ernanda Wijaya Febryyantoro Febryyantoro Fera Damayanti Handoko, Divi hasdiana, hasdiana Hasdiana, Hasdiana Hasibuan, Ade Zulkarnain Imran Lubis IRWAN, DEDY Iskandar, Dicky Khairani, Mufida Lestari, Yuyun Dwi Listautin, Listautin Liza, Risko Lubis, Husni lubis, ihsan Lubis, Yessy Fitri Annisa M. Arif Hasan Muchriza Akbar Bancin Mufida Khairani Muhammad Zen, Muhammad Nengsih, Novida Nur Wulan Nur Wulan, Nur Pangestu, Raka Nugraha Rahman, Sayuti Rasyid, Adji Abdur Rini Rahmadani Sinambela Rismayanti Rismayanti Sarudin Sarudin, Sarudin Sembiring, Boni Oktaviana Sirait, Joni Putra Jhonhenri Siregar, Rosyidah Siregar, Yunita Sari Sumi Khairani Sumi Khairani, Sumi Suriati, Suriati Syahputri, Nenna Irsa Syara Annisa Annisa Tommy Tommy Tommy, Tommy Yanti, Risma Yessi Fitri Annisah Lubis Zulkardin Sarumaha