Article Per Year (5 Year)
p-Index From 2021 - 2026
1.908
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Anak Usia Dini Undiksha JISTech (Journal of Islamic Science and Technology) Jurnal Mantik Edunesia : jurnal Ilmiah Pendidikan Sistem Pendukung Keputusan dengan Aplikasi Wahana Jurnal Pema Tarbiyah Jurnal Pengabdian kepada Masyarakat (PEMAS) Jurnal Teknoinfo
Nanda Novita
Universitas Medan Area
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 10 Documents
Search

 1 
Animaker Animation Video Design as a Digital-Based Learning Media with the Theme of Comparison and Scale in Elementary School Yuan Anisa; Meilisa Malik; Tantri Octora Dwi Syah Putri; Muhammad Hafiz; Nanda Novita
Edunesia: Jurnal Ilmiah Pendidikan Vol. 4 No. 1 (2023)
Publisher : research, training and philanthropy institution Natural Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (642.873 KB) | DOI: 10.51276/edu.v4i1.328

Abstract

This study aimed to determine the effectiveness of developing digital-based teaching materials in Animaker-assisted animated videos aimed at grade V elementary school students on Comparison and Scale subject matter. This was done because problems often arise regarding the effectiveness of the teaching and learning process. Teachers have also been required to be active and creative in developing learning systems in the classroom that coexist with technological advances. In this study, the learning system developed is on teaching materials. This researcher uses the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). This research is subjected to elementary school students in Langkat Regency. Data collection is done using assessments by material experts, media experts, homeroom teachers, and students. Overall based on media experts reached 81.25%, material experts reached 81.25%, homeroom teachers reached an average of 82%, and the average student response of 87% was classified as high so that it could be stated that Animaker-based animation videos on Comparison and Scale materials were feasible to be used as teaching material facilities in the classroom.
Analysis of twitter user sentiment on the monkeypox virus issue using the nrc lexicon Muhammad Khahfi Zuhanda; Anil Hakim Syofra Syofra; Devy Mathelinea; Prana Ugiana Gio; Yuan Anisa Anisa; Nanda Novita
Jurnal Mantik Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i4.3502

Abstract

Monkeypox virus is closely related to variola (smallpox virus) and causes a smallpox-like disease. The increase in monkeypox cases has caused the general public to be involved in providing responses to seek and share information related to monkeypox on the internet, especially on social media platforms. This study aims to analyze a collection of 5000 tweets on August 5, 2022, for sentiment analysis using the NRC lexicon. Of the 5,000 tweets that have been extracted, it is obtained that the words that Twitter users often use are "health", "emergency", "public", "covid", and "declares". By using the classification using the NRC lexicon comparison, we found that the emotion type of fear was the most widely used emotion, which had a presentation of 19.73%, followed by anticipation emotion at 16.78%, sadness 14.77%, trust at 13.90%, anger 9.99%, shock 9.14%, disgust 8.12%, and happy 1288 7.90 %. The negative sentiment that often appears on Twitter is equal to 51.92%, and positive sentiment has a percentage of 48.08%. The negative sentiment words that appear most often are "emergency", "virus", "disease", "shit", and "risk". The positive sentiment words that appear most often are "public", "vaccine", "sex", "contact", and "united". The analytical method with the lexicon method is very well used in analyzing various emotions and sentiments on social media. %MCEPASTEBIN%
Thematic-Based Interactive Learning Multimedia In Early Childhood Language Development Sholihatul Hamidah Daulay; Raisah Armayanti Nasution; Nanda Novita
Jurnal Pendidikan Anak Usia Dini Undiksha Vol. 11 No. 1 (2023): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/paud.v11i1.53469

Abstract

Language development still applies conventional learning without using learning media such as interactive learning multimedia. So this study aims to develop thematic-based interactive learning multimedia in early childhood language development. This research belongs to the type of ADDIE development model development research. The subjects involved in this study were material experts, media experts, and 83 early childhood children—data collection using the method of observation, interviews, and questionnaires. The research instrument used was the validity sheet. The data obtained in the study were then analyzed using a descriptive presentation analysis with a questionnaire to experts to test the feasibility and analysis of the data to test the effectiveness of using the Normalized Gain test (N-gain score). The results of the data analysis show that the product feasibility test, with a percentage of 93.47% by material experts and 85.71% by media experts, is included in the very feasible category. The effectiveness test results have met the effective category seen from the acquisition of the average value according to the calculation of the N-Gain score. It was concluded that thematic-based interactive learning multimedia is valid and feasible to develop because it can maximize children's language development.
Pengembangan Model Prediksi Harga Saham Dengan Menggunakan Regresi Linear Berganda Pada Saham BRI Anisa, Yuan; Hafiz, Muhammad; Novita, Nanda
JISTech (Journal of Islamic Science and Technology) Vol 9, No 2 (2024)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jistech.v9i2.22213

Abstract

Penelitian ini bertujuan untuk mengembangkan model prediksi harga saham menggunakan regresi linear berganda, dengan studi kasus pada saham PT Bank Rakyat Indonesia (Persero) Tbk. Data yang digunakan berasal dari Yahoo Finance dan PT Stockbit Sekuritas Digital, yang meliputi harga saham historis. Model regresi linear berganda digunakan untuk memprediksi harga saham di masa depan, dengan mengggunakan variabel independen mencakup harga pembukaan, harga tertinggi, harga terendah, dan net buy/sell asing, sedangkan untuk harga penutupan berperan sebagai variabel dependen. Hasil analisis menghasilkan persamaan regresi: Y = 1.725 - 0.529x₁ + 0.689x₂ + 0.840x₃ + 3.221E-8x₄, yang menunjukkan hubungan signifikan antara variabel independen terhadap harga penutupan saham. Penelitian ini memberikan wawasan bagi investor dan pelaku pasar untuk memahami faktor-faktor utama yang memengaruhi pergerakan harga saham, sehingga dapat digunakan sebagai alat bantu dalam pengambilan keputusan investasi. Model yang dihasilkan memiliki potensi untuk dioptimalkan lebih lanjut dengan melibatkan variabel makroekonomi dan teknik machine learning untuk meningkatkan akurasi prediksi.
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
Sistem Pendukung Keputusan Berbasis AHP untuk Pemilihan Hunian di Kawasan Perkotaan yang Padat Yessy Evita Leony Aruan; Nanda Novita
Sistem Pendukung Keputusan dengan Aplikasi Vol 4 No 2 (2025)
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/spk.v4i2.1289

Abstract

Home selection is a critical and complex decision, particularly in densely populated urban areas such as Medan, where multiple factors including location, price, facilities, and environmental risks must be considered simultaneously. This study aims to develop a Decision Support System model based on the Analytical Hierarchy Process (AHP) to assist prospective buyers in making more objective and structured housing decisions. The research evaluated 20 housing alternatives selected through purposive sampling. Assessments of criteria and alternatives were conducted by five respondents, consisting of two property experts, two information systems academics, and one experienced homebuyer, using pairwise comparison questionnaires based on the Saaty scale. The analysis reveals that Location holds the highest weight (0.6333), followed by Income/Property Price (0.2605), and Facilities (0.1062). At the sub-criteria level, Flood-Free Area emerged as the most influential factor with a weight of 0.3533, followed by Property Price (0.1954) and Safe Neighborhood (0.1668). Among the 20 alternatives, Cempaka Lestari ranked first with a score of 0.9040, closely followed by Griya Indah (0.9033) and Anggrek Residence (0.8930). The consistency ratio for all calculations was below 0.10, confirming the reliability and logical validity of the judgments. These findings emphasize that location-specific environmental criteria, particularly flood risk, play a decisive role in homebuyer preferences in Medan. Practically, the proposed model provides prospective buyers with a rational decision-making framework and offers strategic insights for developers to align housing products with market demands in flood-prone urban areas.
Edukasi Konsep Rumah Sehat untuk Meningkatkan Kesadaran Hidup Sehat pada Siswa SMA Negeri 1 Kisaran, Kabupaten Asahan Mufti Ali Nasution; Saufa Yardha Moerni; Yunita Syafitri Rambe; Nanda Novita; Yuan Annisa; Maqhfirah DR
Wahana Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2026): Edisi Juni
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/wahana.v5i1.1879

Abstract

Rumah sehat merupakan salah satu faktor penting dalam mendukung kesejahteraan fisik, mental, dan sosial masyarakat, namun pemahaman mengenai konsep dan kriteria rumah sehat masih rendah, termasuk di kalangan siswa sekolah menengah. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dan kesadaran hidup sehat siswa SMA Negeri 1 Kisaran, Kabupaten Asahan, mengenai konsep rumah sehat melalui metode penyuluhan/ceramah. Kegiatan dilaksanakan pada Rabu, 11 Februari 2026, dengan melibatkan 60 siswa sebagai peserta. Pelaksanaan kegiatan terdiri atas tiga tahap, yaitu persiapan, penyajian materi disertai sesi tanya jawab, dan evaluasi menggunakan post-test berbentuk soal pilihan ganda sebanyak 10 item. Hasil post-test menunjukkan rata-rata persentase jawaban benar sebesar 92,4%, dengan capaian tertinggi pada indikator manfaat membuka jendela (100%) dan capaian terendah pada indikator fungsi ventilasi, manfaat pencahayaan alami, serta syarat rumah sehat (masing-masing 86,7%). Hasil ini mengindikasikan bahwa siswa memiliki pemahaman yang baik terhadap materi rumah sehat setelah mengikuti kegiatan penyuluhan, khususnya pada aspek pemahaman (C2) dan penerapan (C3). Kegiatan ini diharapkan dapat menjadi salah satu upaya awal dalam menumbuhkan kesadaran hidup sehat pada generasi muda, khususnya terkait pengelolaan tempat tinggal yang sehat di masa mendatang.
VISITING LECTURER (MATA KULIAH EDUPRENEURSHIP) UNTUK MAHASISWA PENDIDIKAN MATEMATIKA FITK UIN SUMATERA UTARA Nanda Novita; Yunita Syafitri Rambe; Saufa Yardha Moerni; Yuan Anisa; Fadilla Azmi; Maqhfirah Maqhfirah
Jurnal Pema Tarbiyah Vol 4, No 2 (2025)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/pema.v4i2.4811

Abstract

Perkembangan teknologi yang pesat telah memberikan dampak besar dalam dunia pendidikan, sehingga kemampuan menciptakan solusi berbasis digital menjadi keterampilan penting bagi calon pendidik dan wirausahawan pendidikan (edupreneur). Untuk mendukung hal tersebut, Program Visiting Lecturer pada mata kuliah Edupreneurship dilaksanakan melalui skema PMM FITK UINSU dengan melibatkan 25 mahasiswa Pendidikan Matematika. Kegiatan ini melakukan pengembangan platform pembelajaran daring, aplikasi edukatif, dan sistem manajemen pembelajaran. Mahasiswa memperoleh pemahaman mengenai proses membangun usaha pendidikan berbasis teknologi, tantangan implementasi, serta strategi menciptakan solusi berkelanjutan. Melalui diskusi interaktif dan studi kasus, peserta juga mendapat nilai tambah yang tidak diperoleh dari pembelajaran teori semata. Isu-isu seperti rendahnya literasi digital, keterbatasan akses teknologi, dan penyelarasan inovasi dengan kurikulum turut dibahas, disertai dengan berbagai solusi praktis. Secara keseluruhan, kegiatan ini berhasil memperluas wawasan mahasiswa, meningkatkan kreativitas, dan menumbuhkan semangat inovasi dalam mengembangkan proyek kewirausahaan pendidikan yang relevan dengan kebutuhan era digital.
Analysis of Public Sentiment about Sea Games eSport on Twitter using the Adaboost Algorithm Muhammad Syifa; Nurul Khairina; Dian Noviandri; Yuan Anisa; Nanda Novita
Jurnal Teknoinfo Vol. 20 No. 2 (2026): Period July 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/teknoinfo.v20i2.1706

Abstract

This research aims to analyze public sentiment towards the Sea Games eSports as reflected in conversations on the Twitter platform. The two main issues in focus are how the public sentiment towards the Sea Games eSports event and whether their responses tend to be positive or negative towards the event. The research method used is the Adaboost Algorithm, a technique in data mining that aims to improve classification accuracy. Adaboost was used to analyze sentiment from Twitter conversation data by using feature selection to select weak classification functions, then combining them into a new classification function. The results showed that the highest evaluation was achieved in the 2nd test with the use of training data by 90% and testing by 10%, which resulted in an accuracy of 98%. Sentiment analysis of the Sea Games eSports showed that the majority of Twitter users expressed 111 (95.7%) positive sentiments, while only 5 (4.3%) negative sentiments. This indicates that people tend to give positive responses to the Sea Games eSports event. This research illustrates that sentiment analysis using the Adaboost Algorithm is able to provide accurate results in mapping public responses to the Sea Games eSports event on Twitter. The implication is that the strong support from the community towards this event can be an important basis for further development and promotion of Sea Games eSports.
Edukasi Model Matematika dalam Menganalisis Harga Wajar dan Estimasi Peluang Penjatahan Saham IPO sebagai Strategi Investor Pemula Muhammad Hafiz; Yuan Anisa; Nanda Novita; Desniarti; Mahliza Nasution; Hadijah; Rizty Maulida Badri
Jurnal Pengabdian kepada Masyarakat (PEMAS) Vol. 3 No. 2 (2026): Mei 2026
Publisher : Yayasan Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/pemas.v3i2.129

Abstract

Kurangnya pemahaman investor pemula mengenai analisis saham IPO menyebabkan keputusan investasi sering dilakukan tanpa pertimbangan kuantitatif yang memadai. Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan memberikan edukasi dan pelatihan mengenai penggunaan model matematika sederhana dalam menentukan harga wajar saham IPO menggunakan metode Price Earning Ratio (P/E Ratio) serta estimasi peluang penjatahan saham melalui pendekatan probabilitas. Kegiatan dilaksanakan selama satu hari secara daring menggunakan aplikasi Zoom Meeting dengan metode ceramah, demonstrasi, praktik perhitungan, dan diskusi interaktif kepada 50 peserta yang terdiri dari mahasiswa dan masyarakat umum. Contoh saham IPO yang digunakan meliputi PT Wira Bakti Sejahtera Tbk (WBSA), PT Chandra Daya Investasi Tbk (CDIA), dan PT Hartadinata Abadi Tbk (EMAS). Hasil evaluasi pre-test dan post-test menunjukkan peningkatan rata-rata pemahaman peserta sebesar 47,8%, dari nilai rata-rata pre-test 34,4% menjadi 82,2% pada post-test. Sebanyak 74% peserta mencapai kategori nilai Sangat Baik (≥80) pada post-test. Peserta juga mampu melakukan simulasi perhitungan harga wajar dan probabilitas penjatahan secara mandiri. Kegiatan ini diharapkan dapat meningkatkan literasi keuangan masyarakat serta membantu investor pemula dalam mengambil keputusan investasi yang lebih rasional dan terukur.
Co-Authors Amir Saleh Anil Hakim Syofra Syofra Desniarti Devy Mathelinea Dian Noviandri Fadhillah Azmi Fadilla Azmi Firdaus, Muhammad Huda Hadijah Hafiz, Muhammad Mahliza Nasution Malik, Meilisa Maqhfirah DR Maqhfirah Maqhfirah Mufti Ali Nasution Muhammad Hafiz Muhammad Hafiz Muhammad Khahfi Zuhanda Muhammad Syifa Nurul Khairina Prana Ugiana Gio Raisah Armayanti Nasution Rambe, Yunita Syafitri Rizty Maulida Badri Saufa Yardha Moerni Sholihatul Hamidah Daulay Tantri Octora Dwi Syah Putri Yessy Evita Leony Aruan Yuan Anisa Yuan Annisa