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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal of Information Systems Engineering and Business Intelligence Jurnal Pendidikan Fisika Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JMM (Jurnal Masyarakat Mandiri) Jurnal Teknoinfo JISTech (Journal of Islamic Science and Technology) IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Informatika Kaputama (JIK) Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer JATI (Jurnal Mahasiswa Teknik Informatika) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing IJISTECH Yayasan Cita Cendikiawan Al Khwarizmi INCODING: Journal of Informatics and Computer Science Engineering Jurnal IPTEK Bagi Masyarakat Brilliance: Research of Artificial Intelligence Sisfo: Jurnal Ilmiah Sistem Informasi Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Jurnal Solusi Masyarakat Dikara JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia)
Nurul Khairina
Universitas Medan Area
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Penerapan Mobilenetv3 untuk Klasifikasi Jenis Bahan Pakaian Sinaga, Doni Poulus; Khairina, Nurul
INCODING: Journal of Informatics and Computer Science Engineering Vol 5, No 2 (2025): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v5i2.829

Abstract

This study aims to develop an efficient and accurate model for classifying clothing material types using the MobileNetV3 architecture. Clothing material images were collected from open sources and processed through resizing, normalization, and data augmentation. The model was trained using transfer learning and evaluated using accuracy, precision, recall, and F1-score metrics. The evaluation results showed an accuracy of 92%, with the best performance in the silk and polyester categories. However, misclassifications still occurred for materials with similar textures, such as linen and cotton. Compared to previous studies, this approach offers advantages in computational efficiency for mobile and edge computing applications. This research contributes to the development of an automated clothing material classification system to support the textile and fashion industries. Further improvements are needed by enhancing dataset quality and fine-tuning the model to better distinguish materials with visually similar characteristics.
KLASIFIKASI KESEHATAN JANIN PADA IBU HAMIL MENGGUNAKAN METODE SUPPORT VECTOR MACHINE Darkani, M. Farhan; Khairina, Nurul
INCODING: Journal of Informatics and Computer Science Engineering Vol 5, No 2 (2025): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v5i2.830

Abstract

Monitoring fetal health is a crucial aspect of pregnancy, requiring accurate and efficient methods for early detection of potential complications. This study aims to develop a fetal health classification system using the Support Vector Machine (SVM) algorithm. The data analyzed includes various fetal physiological parameters obtained through routine examinations, such as heart rate, fetal movements, and other relevant indicators. SVM was chosen due to its capability to handle non-linear data and its high classification accuracy. The classification process involves data preprocessing, feature selection, model training, and performance evaluation using metrics such as accuracy, precision, recall, and F1-score. The results indicate that SVM can effectively classify fetal health conditions with high accuracy, making it a promising diagnostic support tool for medical professionals. This study contributes to maternal and fetal healthcare by offering a machine learning-based approach that enhances the effectiveness of fetal health monitoring systems.  
Analisis Fuzzy Inference System Mamdani untuk Menilai Kelayakan Pemilihan Mobil Berdasarkan Kriteria Pengguna Novita, Nanda; Firdaus, Muhammad Huda; Anisa, Yuan; Khairina, Nurul
JISTech (Journal of Islamic Science and Technology) Vol 10, No 1 (2025)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jistech.v10i1.23109

Abstract

Pengambilan keputusan pembelian mobil merupakan proses kompleks yang dipengaruhi oleh faktor subjektif dan objektif seperti harga, efisiensi bahan bakar, dan kenyamanan. Khusus bagi pengemudi transportasi online, kriteria seperti durabilitas dan biaya perawatan rendah menjadi krusial. Ketidakpastian preferensi linguistik (misalnya definisi "hemat" atau "nyaman") sering menjadi keterbatasan metode konvensional. Penelitian ini mengusulkan Sistem Inferensi Fuzzy Mamdani (FIS Mamdani) untuk memodelkan preferensi pengguna dan mengatasi ambiguitas tersebut. Dengan kemampuan menerjemahkan informasi linguistik ke dalam kaidah "IF-THEN" yang intuitif, FIS Mamdani memungkinkan interpretasi preferensi secara akurat. Berdasarkan data aktual mobil Toyota, sistem ini menggunakan tiga variabel input: Harga Mobil, Efisiensi Bahan Bakar, dan Kapasitas Mesin, dengan satu variabel output: Kelayakan Pembelian. Hasil penelitian menunjukkan bahwa dengan nilai crisp output 55.7 (pada kondisi Harga=450 juta, Efisiensi=18 km/l, Kapasitas Mesin=1.8L), mobil-mobil dengan kategori Cukup Layak adalah Toyota Avanza, Yaris, dan Rush. Pendekatan ini terbukti memberikan rekomendasi terstruktur dan personal, sekaligus mengurangi ketidakpastian dalam pengambilan keputusan pembelian mobil
Analisis Fungsi Aktivasi pada Algoritma Backpropagation dalam Pengenalan Aksara Batak Toba Esrayanti Simanjuntak; Nurul Khairina; Zulfikar Sembirirng; Rizki Muliono; Muhathir Muhathir
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol. 8 No. 2 (2023): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v8i2.331

Abstract

Indonesia merupakan salah satu Negara Asia yang memiliki suku dan budaya yang beragam. Suku Batak merupakan suku yang ada di daerah Sumatera Utara. Suku ini terbagi menjadi beberapa jenis berdasarkan wilayahnya. Suku Batak Toba memiliki bahasa daerah yang sangat unik dan sistem tulisan yang berbeda. Aksara Batak Toba sering digunakan dalam upacara keagamaan dan peristiwa penting. Dalam penelitian ini, peneliti akan melakukan studi tentang aksara Batak Toba. Peneliti akan menganalisis Algoritma Backpropagation dalam pengenalan aksara Batak Toba dengan variasi fungsi aktivasi. Data input berupa file citra yang akan melalui tahap preprocessing, diikuti dengan ekstraksi fitur, normalisasi, pelatihan, dan pengujian pola aksara Batak Toba. Pada proses pelatihan dan pengujian pola, peneliti akan menggunakan data latih yang terdiri dari beberapa jenis aksara dan melakukan beberapa kali pengujian dengan jumlah epoch yang bervariasi, yaitu 150, 300, 450, 600, 750, 900, 1050, dan 1200 epoch. Dari hasil pengujian yang dilakukan, diperoleh hasil akurasi tertinggi pada dua jenis fungsi aktivasi, khususnya pada epoch ke-1050. Akurasi pada fungsi aktivasi Sigmoid Bipolar mencapai 80,53% dan pada fungsi aktivasi Sigmoid Biner mencapai 78,95%.
Pelatihan Peningkatan Kemampuan Penterjemahan Artikel Ilmiah dengan Grammarly, Google Translate dan Paraphrasing Khairina, Nurul; Albra, Wahyuddin
Jurnal Solusi Masyarakat Dikara Vol 1, No 1 (2021): Desember 2021
Publisher : Yayasan Lembaga Riset dan Inovasi Dikara

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

Abstract

Konsep webinar mulai marak diminati sejak masa pandemic Covid-19, namun sampai tahun ini pun para akademisi masing sering melakukan webinar dengan berbagai tema acara. Pelatihan dengan konsep webinar tidak mengurangi tingkat pemahaman peserta webinar, bahkan dengan adanya webinar, narasumber dan peserta yang berbeda kota dan berbeda negara pun dapat lebih leluasa berbagi ilmu. Kegiatan secara daring bukan hanya dilakukan untuk webinar saja, namun juga dapat digunakan untuk aktifitas akademi dosen seperti mengajar, penelitian, pengabdian dan juga penunjang. Salah satu kegiatan pengabdian dalam bentuk webinar juga sering dilakukan oleh para akademisi. Pelatihan yang dilakukan oleh penulis berikut ini merupakan pelatihan yang dilakukan melalui webinar yang dilaksanakan oleh ITScience, dimana penulis merupakan salah satu narasumber pada webinar tersebut. Pelatihan yang dibawakan oleh penulis merupakan pelatihan peningkatan kemampuan menterjemahkan artikel ilmiah dengan tools Grammarly, Google Translate dan Paraphrasing. Dalam menterjemahkan kalimat, peserta diarahkan untuk menterjemahkan lebih dari satu kali tahapan, sebainya peserta menterjemahkan sebanyak tiga kali tahapan. Dalam menggunakan Google Translate, peserta juga diajarkan menterjemahkan kalimat dengan fitur Google Transalate yang diiringi dengan tools Grammarly untuk memperbaiki tenses, kata benda, kata sifat dan kata keterangan. Tahapan terjemahan yang terakhir adalah memperbaiki kesesuaian parafrase yang dapat dilakukan dengan menggunakan tools Paraphrasing. Kegiatan pengabdian yang dilakukan melalui webinar ini berjalan dengan baik dan antusias peserta dapat dilihat dari kehadiran peserta yang mencapai ± 90 orang.
Copyright Protection of Scientific Works using Digital Watermarking by Embedding DOI QR Code Harahap, Muhammad Khoiruddin; Khairina, Nurul
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 2 (2021): Journal of Computer Networks, Architecture and High Performance Computing, July
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i2.1064

Abstract

Digital identifier is a technology used to prove ownership of a work. At this time, the Digital Object Identifier is a form of implementation of the digital identifier used in every scientific work. Not infrequently there are several cases of theft of ownership or copyright of a work, both scientific works, and certain other works. Watermarking is a technique created to protect the ownership of works. Watermarking techniques can be applied to several media such as audio, video, and also documents, one of which is the Portable Document Format document file. In this study, researchers want to build copyright protection for scientific works. Researchers offer research concepts using a Digital Object Identifier which is always installed on scientific papers to be published. The Digital Object Identifier will later become the basic data in building the Quick Response Code. The Digital Object Identifier of each scientific work will not be the same as each other, this will certainly make the Quick Response Code more unique. The results show that the watermarking process in building copyright protection of scientific works can be very successful Quick Response Code can be read and detected properly without experiencing lag time. Quick Response Code readings from several variations of motion are also not very influential, so it can be concluded that distance does not limit the detection of Quick Response Codes. From this research, researchers can deduce that the watermark is performed on the scientific work not only serves as the copyright protection of that scientific paper but can also be an alternative for other researchers to access the scientific work.
Integrasi Literasi Keuangan dan Digital Marketing untuk Pemberdayaan UMKM Kuliner Minasari Nasution; Abdul Gani; Andry Roy PS; Zahri Fadli; Mahyudin Mahyudin; Nurul Khairina
Jurnal IPTEK Bagi Masyarakat Vol 5 No 3 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i3.1505

Abstract

This community service program aims to improve the competitiveness of culinary MSMEs in Siboruon Village through financial literacy and digital marketing education. This activity was attended by 35 participants and was carried out using participatory training and practical mentoring methods. Evaluation was conducted through pre-test and post-test questionnaires that were analyzed statistically. The results showed a significant increase in financial literacy scores, from an average of 2.48 to 4.21 (p < 0.001), as well as digital marketing competencies, from an average of 2.10 to 4.03 (p < 0.001). A total of 71.4% of participants successfully created or optimized business social media accounts. The novelty of this program lies in the integration of simple bookkeeping and platform-based digital marketing tailored to the characteristics of rural MSMEs. This program has proven to be effective in strengthening managerial capacity and increasing the competitiveness of MSMEs.
Co-Authors -, Muhathir Abdul Gani Adidtya Perdana, Adidtya Ahmad Faisal Andre Hasudungan Lubis Andry Roy PS Anisa, Yuan Clawdia, Jhessica Darkani, M. Farhan Dian Noviandri Esrayanti Simanjuntak Fadhila Azmi Firdaus, Muhammad Huda Fordinand Halomoan Pasaribu Hasudungan, Andre Juanda Hakim Lubis Juanda Hakim Lubis Juanda Hakim Lubis Mahyudin Marpaung, Febriady Mhd Zulfansyuri Siambaton Minasari Nasution Muhammad Fikri Riandra Muhammad Khoiruddin Harahap Muhathir Muhathir Muhathir Muhathir, Muhathir Muhathir, Muhathir Nanda Novita Nanda Novita, Nanda Napisah, Napisah Rahmad B.Y Syah Rizki Muliono Robin Robin Siagian, Yorris Sinaga, Doni Poulus Siregar, Saut Dohot Sitopu, Essay Puspita Sri Wahyuni Susilawati Susilawati Susilawati, Susilawati Syarifah Muthia Putri Theofil Tri Saputra Sibarani Wahyuddin Albra, Wahyuddin Zahri Fadli Zulfikar Sembiring Zulfikar Sembirirng