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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika 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 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
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Implementasi Data Mining Klasifikasi Algoritma Chaid Dalam Menentukan Pola Penerima Mahasiswa Baru Yunita Sari Siregar; Divi Handoko; Mufida Khairani; Nenna Irsa Syahputri; Herlina Harahap
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.3612

Abstract

Universitas Harapan Medan adalah salah satu Perguruan Tinggi di Sumatera Utara yang memiliki beberapa fakultas, salah satu diantaranya yaitu Fakultas Teknik dan Komputer. Dimana pada fakultas tersebut terdapat 7 program studi yaitu Teknik Elektro, Teknik Sipil, Teknik Mesin, Teknik Informatika Teknik Industri, Sistem Informasi dan Manajemen Informatika. Program studi Teknik Infrmatika merupakan program studi dengan akreditasi B dengan jumlah mahasiswa aktif sampai tahun 2022 yaitu 1.366 orang. Berdasarkan data tersebut dapat dilihat bahwa program studi informatika memiliki jumlah peminat yang sangat banyak bagi mahasiswa. Dalam proses penerimaan mahasiswa baru seringkali membuat susunan berkas yang sangat banyak, sehingga menyulitkan pihak akademik dalam mengelola dan menentukan mahasiswa yang dapat masuk dalam program studi teknik informatika. Oleh sebab itu, diperlukan suatu pola yang dapat menentukan mahasiswa yang lulus dan tidak lulus menggunakan metode klasisfikasi data mining CHAID (Chi Squared Automatic Interaction Detection). Tujuan dalam penelitian ini adalah Merancang model pola karakteristik berdasarkan kriteria dalam seleksi penerimaan mahasiswa baru pada program studi teknik informatikaMenganalisis metode data mining decision tree dengan algoritma CHAID (Chi Squared Automatic Interaction Detection) dalam menentukan siapa yang lulus berdasarkan kriteria-kriteria yang telah ditentukan. Hasil pohon keputusan dalam perancangan pola karakteristik penerimanan calon mahasiswa baru terdapat 43 rule dimana , faktor tertinggi dari ke- 3 faktor yang mempengaruhi pada 75 data testing adalah kriteria Nilai Rapor. Faktor kedua yang juga mempengaruhi hasil keputusan adalah kriteria Ujian CAT (Computer Assisted Test). Dan faktor Nilai Wawancara terakhir yang juga mempengaruhi hasil keputusan adalah kriteria.
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.
Media Pembelajaran Silsilah Marga Adat Batak Toba Berbasis Animasi Menggunakan Adobe Flash Sinambela, Rini Rahmadani; Herlina Harahap; Mufida Khairani
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 2 No. 2 (2023): Mei 2023
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v2i2.49

Abstract

Genealogy or commonly called Tarombo by Batak people is a lineage that has become customary for people to know genealogy or kinship relationships. . However, this custom has begun to disappear from the Batak people because of the hard-to-find family data, the expanding genealogy, and the few people who know the genealogy. The lineage is called Tarombo. These things make Tarombo lose its appeal and become the background of this research. The purpose of this study is to build an application system that will become a medium for users, especially the Toba Batak ethnicity, to be able to have, create or continue family genealogies and make it easier for us to find genealogies or Tarombo clans and families. This application is designed using Adobe Flash CS6 which has a pretty good performance. The system development method used in system development is the literature study method, which collects supporting data related to research such as from social media, websites or other sources. Based on the test results, the genealogy application is running successfully on the Windows 10 operating system. This study resulted in an application with the main function as a medium that requires information about the genealogy of the Batak clan, especially the Sinambela clan and provides the desired convenience and speed.
Penerapan Metode Rigging Pada Pembuatan Video Animasi 3D Bercocok Tanam Sayuran Hidroponik dan Non Hidroponik Menggunakan Unity Ernanda Wijaya; Herlina Harahap; Dharmawati
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 2 (2024): Mei 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i2.120

Abstract

Gardening and farming are the activities of planting and caring for plants for a specific purpose, such as to produce food, flowers, or medicinal plants. Gardening and farming are usually done in gardens, parks, or farmland. In gardening and farming, we need to understand various aspects, such as the type of plants to be planted, land preparation, planting techniques, plant maintenance, and also how to overcome problems that arise during the plant growth process. Indonesia has a fairly extensive greening program, there are still several problems related to greening in Indonesia, including: Lack of consistency in the implementation of greening programs, Lack of community support and understanding of the importance of greening, and others. This 3D animated video tutorial on farming organic, non-organic, and hydroponic plants with this rigging method is one effective way to provide information and education to the public about how to grow crops and gardening correctly and efficiently. The rigging method used in making this video allows the characters in the animation to move and interact naturally, so that the tutorial presented looks more lively and interesting. Basically, this animation video processing uses the Unity 3D application, and supporting applications such as Blender and SketchFab to obtain some of the assets needed. The result of the animated video created is in the form of a .mp4 file that can be played on various devices. Based on the test results that have been obtained, this animated video is very helpful for children and the community in farming and gardening.  
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.
Co-Authors Adji Abdur Rasyid Ahmad Zakir Ainun Naimah Pulungan Amelia Siregar Andi Arief Andi Marwan Elhanafi Andi Marwan Elhanafi, Andi Marwan Annisa, Syara 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 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 lubis, husni lubis, ihsan Lubis, Yessy Fitri Annisa M. Arif Hasan Muchriza Akbar Bancin Mufida Khairani Mufida Khairani Muhammad Zen, Muhammad Nur Wulan Nur Wulan, Nur Pangestu, Raka Nugraha Rahman, Sayuti Rismayanti Rismayanti Sarudin Sembiring, Boni Oktaviana Sinambela, Rini Rahmadani 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