Article Per Year (5 Year)
p-Index From 2021 - 2026
0.983
P-Index
This Author published in this journals
All Journal INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Mimbar Ilmu JURTEKSI AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Mantik Jurnal Minfo Polgan (JMP) Edukasia Jurnal Pendidikan
Nasution, Auliana
Universitas Battuta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Social Sciences Transportation

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search

 1 
PENGARUH PEMAHAMAN KONSEP MATEMATIKA TERHADAP KEMAMPUAN PENGGUNAAN APLIKASI SPSS MATA KULIAH STATISTIK Nasution, Auliana; Ambiyar, Ambiyar
Mimbar Ilmu Vol 23, No 3 (2018)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (367.797 KB) | DOI: 10.23887/mi.v23i3.16440

Abstract

Penelitian ini bertujuan untuk mengetahui dan menjelaskan pengaruh pemahaman konsep matematika terhadap penggunaan aplikasi SPSS. Jenis penelitian ini adalah assosiatif, alat pengumpulan data menggunakan tes yang disebarkan kepada 35 orang sampel yang diambil secara acak. Analisis data yang dipakai adalah analisis deskriptif dan analisis regresi linier sederhana dengan menggunakan program SPSS 20 for Windows. Hasil penelitian menunjukkan variabel pemahaman konsep matematika signifikan terhadap kemampuan penggunaan Aplikasi SPSS pada mata kuliah statistik, dengan demikian maka hipotesis(H0) diterima.Kata kunci : Pemahaman, Konsep Matematika, Aplikasi SPSS
Student learning style in vocational higher education Auliana Nasution; Ambiyar Ambiyar; Wakhinuddin Simatupang
invotek Vol 21 No 1 (2021): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/invotek.v21i1.765

Abstract

When student learning styles are known, teaching can be designed according to student interests through teaching strategies, teaching methods and techniques, and selecting and applying the necessary teaching tools. This research aims to describe vocational students' learning styles using Forster learning styles and investigate the relationship between these learning styles and mathematics learning achievement. Researchers analyzed vocational students' mathematics learning styles using the "How Do I Learn?" developed by Forster. By using a screening model and quantitative research methods, data collected. The collected data from the instrument containing questions related to the student's mathematics learning style are then processed using SPSS, analyzed using descriptive statistics and one-way analysis of variance (ANOVA). Descriptive statistics were applied to view participant demographics and an overview of each learning style score, while one-way analysis of variance (ANOVA) was conducted to assess differences in mathematics learning styles among students based on mathematics scores. The results showed no relationship found between reflective, curious, diligent, and user learning styles using the questionnaire developed by Foster and the students' mathematics scores.
PELATIHAN TIPS DAN TRIK SUBMIT ARTIKEL ILMIAH DI JURNAL BERBASIS ONLINE Febry Ichwan Butsi; Auliana Nasution
AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 1 No. 1 (2017): Amaliah: Jurnal Pengabdian Kepada Masyarakat
Publisher : LP2M UMN AL WASHLIYAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32696/ajpkm.v1i1.16

Abstract

Karya tulis ilmiah memiliki peran strategis dalam upaya pengembangan profesi guru. Secara singkat karya tulis ilmiah dapat didefinisikan sebagai laporan tertulis tentang (hasil) suatu kegiatan ilmiah. Karya tulis ilmiah dapat dipilah dalam dua kelompok yaitu: (a) karya tulis ilmiah yang merupakan laporan hasil pengkajian/penelitian, dan (b) karya tulis ilmiah yang berupa tinjauan/ulasan/ gagasan ilmiah. Permasalahan mitra yang menjadi sorotan utama adalah para guru masih belum mengerti dan paham cara memasukan karya mereka di jurnal ilmiah berbasis online. Para guru di SD Tunas Harapan umumnya mengirimkan tulilsan mereka di jurnal yang terbitan cetak dengan ISSN.Hasil yang didapat dari kegiatan ini adalah meningkatnya kemampuan dan kompetensi guru di SD Tunas Harapan untuk memasukan karya ilmiah mereka ke jurnal yang berbasis online.Tentunya diperlukan monitoring oleh pengabdi pada masa depan untuk mengukur keberhasilan kegiatan pengabdian yang disampaikan kepada para guru di SD Tunas Harapan. Namun evaluasi awal oleh pengabdi menilai bahwapemahaman guru mengenai metode memasukan karya ilmiah di jurnal berbasis online telah diserap dengan baik oleh para guru.
PENGARUH PEMAHAMAN KONSEP MATEMATIKA TERHADAP KEMAMPUAN PENGGUNAAN APLIKASI SPSS MATA KULIAH STATISTIK Auliana Nasution; Ambiyar Ambiyar
Mimbar Ilmu Vol. 23 No. 3 (2018): Desember
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mi.v23i3.16440

Abstract

Penelitian ini bertujuan untuk mengetahui dan menjelaskan pengaruh pemahaman konsep matematika terhadap penggunaan aplikasi SPSS. Jenis penelitian ini adalah assosiatif, alat pengumpulan data menggunakan tes yang disebarkan kepada 35 orang sampel yang diambil secara acak. Analisis data yang dipakai adalah analisis deskriptif dan analisis regresi linier sederhana dengan menggunakan program SPSS 20 for Windows. Hasil penelitian menunjukkan variabel pemahaman konsep matematika signifikan terhadap kemampuan penggunaan Aplikasi SPSS pada mata kuliah statistik, dengan demikian maka hipotesis(H0) diterima.Kata kunci : Pemahaman, Konsep Matematika, Aplikasi SPSS
PEMANFAATAN SOLENOID VALVE DAN SENSOR HC-SR04 SEBAGAI PENCUCI TANGAN OTOMATIS BERBASIS ARDUINO UNO Muhammad Furqon Siregar; Chairul Imam; Auliana Nasution
Jurnal Teknovasi : Jurnal Teknik dan Inovasi Vol 7, No 3 (2020): TEKNOVASI DESEMBER 2020
Publisher : LPPM Politeknik LP3I Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/teknovasi.v7i3.498

Abstract

The world is increasingly developing, along with the development of the times we have to explore ourselves, take advantage of existing technology for daily life. Technological developments are very rapid in various parties and any aspects. The world is now shocked by the corona virus disease, as if it reminds us to better save our health and save our immune system by take a rest and consume vitamins. Viruses that are currently being discussed can be prevented by saving our health, washing hands diligently, maintaining distance and avoiding crowds. Researchers took the initiative to look directly at the field where technology could be inserted in our healthy. From the results of research in the field, researchers found a problem in washing hands. Everyone, before or after washing their hands must be holding a soap bottle and water tap. It can cause new problems, which the virus can stick to the hands again through the water tap that the person had previously held. From the analysis of this problem, researchers want to make new innovations to prevent the spread of the Covid-19 virus. This innovation is a smart system design, where the system is integrated on its own without anyone's help. The work system uses sensors that are fully automatic. It is hoped that this tool can function and be applied to the society
Implementation of OSI Layer Based on Interactive Education Media Chairul Imam; Muhammad Furqon Siregar; Auliana Nasution
Jurnal Mantik Vol. 4 No. 4 (2021): 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.Vol4.2021.1206.pp2545-2551

Abstract

The design of basic network learning media using computer technology based on interactive educational media aims to facilitate the introduction of basic networks using interactive educational media so that they are more interested and able to follow and pay attention to the explanation conveyed through an OSI Layer work process in learning the basic network. In order to make it easier for readers, and faster to master and be able to practice for students who want to learn about the basic network introduction to the OSI Layer.
IMPLEMENTATION OF DATA MINING BY USING K-MEANS TO CLASSIFY MARRIAGE AGE Wiwin Handoko; Auliana Nasution
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 9, No 2 (2023): Maret 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v9i2.2045

Abstract

Abstract: Marriage is a husband and wife relationship between a man and a woman to form a family. There are several conditions in marriage that must be fulfilled both religiously and legally in force in Indonesia. To carry out the marriage, the prospective bride and groom must register at the nearest Religious Affairs Office (KUA), KUA is an institution established by the government to handle marriage matters. At marriages, various age groups are often found registering at the KUA. This research was conducted using the Data Mining technique through the K-Means Clustering Model to determine the age grouping of marriage which aims to make it easier for the Office of Religious Affairs in educating the prospective bride and groom from a future perspective and an economic perspective in terms of having a child. The research dataset is data on prospective wedding brides at KUA Rawang Lama, Panca Arga in 2022 with a total of 102 samples, by forming 3 clusters, namely: the Ideal cluster of 76 prospective wedding brides (age 19-30 based on husband's age and age 18-25 based on age wife), a good cluster of 20 prospective marriage brides (age 28-44 based on husband's age and age 24-37 based on wife's age), and a risky cluster of 6 prospective marriage brides (age 49-72 based on husband's age and age 39-58 based on wife's age), and produces a Silhouette Score of 0.57. Keywords: clustering; data mining; k-means; marriage  Abstrak: Pernikahan merupakan hubungan sebagai suami dan istri antara seorang laki-laki dan perempuan untuk membentuk sebuah keluarga. Terdapat beberapa syarat dalam pernikahan yang wajib dipenuhi baik secara agama maupun secara hukum yang berlaku di Indonesia. Untuk melakukan pernikahan, calon kedua mempelai harus mendaftarkan diri pada Kantor Urusan Agama (KUA) terdekat, KUA merupakan lembaga yang dibentuk oleh pemerintah untuk menangani masalah pernikahan. Pada pernikahan sering ditemukan berbagai kalangan umur yang mendaftarkan diri di KUA. Penelitian ini dilakukan dengan menggunakan teknik Data Mining melalui Model K-Means Clustering untuk menentukan pengelompokkan umur pernikahan yang bertujuan untuk mempermudah pihak KUA dalam mengedukasi calon mempelai pernikahan dalam sudut pandang masa depan dan sudut pandang ekonomi dalam hal memiliki seorang anak. Dataset penelitian ini adalah data calon mempelai pernikahan pada KUA Rawang Lama, Panca Arga pada tahun 2022 sebanyak 102 sampel, dengan membentuk 3 klaster yaitu : cluster Ideal sebanyak 76 calon mempelai pernikahan (usia 19-30 berdasarkan umur suami dan usia 18-25 berdasarkan umur istri), cluster baik sebanyak 20 calon mempelai pernikahan (usia 28-44 berdasarkan umur suami dan usia 24-37 berdasarkan umur istri), dan cluster beresiko sebanyak 6 calon mempelai pernikahan (usia 49-72 berdasarkan umur suami dan usia 39-58 berdasarkan umur istri), dan menghasilkan Silhouette Score 0.57. Kata kunci: clustering; data mining; k-means; pernikahan
Model Process Oriented Guided Inquiry Learning (POGIL)-Metaphorming untuk Keterampilan Belajar dan Inovasi Auliana Nasution; Elia Putri
Edukasia Jurnal Pendidikan Vol. 2 No. 3: Januari 2026
Publisher : LPPM Universitas Battuta

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

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas model pembelajaran POGIL-Metaphorming dalam meningkatkan keterampilan belajar dan inovasi mahasiswa pada mata kuliah kriptografi. Model ini mengintegrasikan Process Oriented Guided Inquiry Learning (POGIL) dan Metaphorming untuk menciptakan lingkungan belajar aktif dan berpusat pada mahasiswa, yang relevan dengan kebutuhan keterampilan abad ke-21. Penelitian dilakukan dengan menggunakan metode quasi jenis None-equivalent Control Group Design. Hasil penelitian menunjukkan bahwa penerapan model POGIL-Metaphorming efektif dalam meningkatkan hasil belajar pada tiga domain keterampilan. Pada ranah kognitif, mahasiswa kelompok eksperimen mengalami peningkatan pemahaman konsep kriptografi yang signifikan, dengan nilai N-gain sebesar 0,57 dibandingkan 0,49 pada kelompok kontrol. Dalam ranah afektif, mahasiswa menunjukkan peningkatan keterampilan berpikir kritis, kreativitas, komunikasi dan kolaborasi dengan rerata keterampilan sebesar 78,82, lebih tinggi dari kelompok kontrol. Pada ranah psikomotor, kelompok eksperimen memiliki keterampilan praktis yang lebih baik dengan rerata 78,59 dibandingkan 72,40 pada kelompok kontrol. Temuan ini menunjukkan bahwa model POGIL-Metaphorming relevan dalam mempersiapkan mahasiswa menghadapi tantangan teknologi informasi dengan kriptografi di era globalisasi.
Predictive Modeling of Smartphone Addiction: Performance Evaluation of KNN, XGBoost, and Naive Bayes on Behavioral Patterns Wayahdi, M. Rhifky; Ruziq, Fahmi; Nasution, Auliana; Purwawijaya, Ellanda
Jurnal Minfo Polgan Vol. 15 No. 1 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i1.16178

Abstract

Excessive smartphone use has triggered a global crisis in the form of smartphone addiction, which negatively impacts mental health and productivity. Most current detection methods still rely on subjective questionnaires that are prone to bias. Therefore, this study aims to evaluate and compare the performance of machine learning-based predictive models—namely K-Nearest Neighbors (KNN), Naive Bayes, and Extreme Gradient Boosting (XGBoost)—in objectively classifying addiction levels based on user behavioral patterns. The research methodology adopts a standard machine learning workflow encompassing data preprocessing, model training, and performance evaluation using a dataset of 3,300 user activity log entries. Empirical results demonstrate that XGBoost yields superior classification performance, achieving an accuracy of 97.27% and an F1-Score of 96.70%, significantly outperforming the KNN (94.54%) and Naive Bayes (89.09%) algorithms. Further feature importance analysis confirms that App Usage Time is the most crucial predictor in detecting addiction. This study concludes that the XGBoost architecture is highly robust in handling non-linear behavioral feature interactions, enabling high-precision predictions. The implications of these findings provide a solid technical foundation for the development of automated early detection systems. Future research should consider expanding the dataset to include application categorization and integrating XGBoost modeling into real-time digital wellbeing application prototypes.
Co-Authors Ambiyar, Ambiyar Chairul Imam Elia Putri Ellanda Purwawijaya M. Rhifky Wayahdi Muhammad Furqon Siregar ruziq, fahmi Sembiring, Rinawati Simatupang, Wakhinuddin Wiwin Handoko