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All Journal Owner : Riset dan Jurnal Akuntansi Data Science: Journal of Computing and Applied Informatics Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Djtechno: Jurnal Teknologi Informasi Jurnal Nasional Holistic Science Journal of Software Engineering, Information and Communication Technology Jurnal Pengabdian Masyarakat Gemilang (JPMG) Wahana NUMBERS: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam JS (Jurnal Sekolah) STATISTIKA Jurnal Asimilasi Pendidikan Hanif Journal of Information Systems Journal of Mathematics, Computation and Statistics (JMATHCOS) Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam Interdisciplinary Explorations in Research Journal (IERJ)
Sisti Nadia Amalia
Universitas Negeri Medan
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Wildfires Classification Using Feature Selection with K-NN, Naïve Bayes, and ID3 Algorithms Ichwanul Muslim Karo Karo; Sisti Nadia Amalia; Dian Septiana
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 3, No 1: June 2022
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v3i1.47537

Abstract

Wildfires are a problem with a high intensity of occurrence and recurrence in Indonesia. If this problem is not properly addressed, it will threaten air circulation in the world. The source of fire can be natural or man-made. As a preventive measure for the widespread spread of fire, it is necessary to investigate the type of fire early on so that it can be determined the type of fire with the highest priority to be extinguished immediately. The process of identifying fire types can be done by classification. This research aims to classify the type of fire with three algorithms, namely K-Nearest Neighbour (K-NN), Naïve Bayes and Iterative Dichotomise 3 (ID3). The forest fire dataset was obtained from the Global Forest Watch (GFW) platform. Before entering the classification stage, the dataset went through a feature selection process, where attributes meeting the threshold were selected for the classification process. The performance of ID3 algorithm is superior compared to other algorithms with an accuracy of 65.83, precision 67.4, recall 67.02 and F1 67.21 per cent. Finally, the feature selection process contributes positively to the classification process, increasing the model performance by 2-5 per cent.
Pengaruh Dewan Komisaris Independen, Komite Audit, Leverage dan Intensitas Modal Terhadap Penghindaran Pajak Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia Tahun 2017 Marwan Faiz Hilmi; Sisti Nadia Amalia; Zul Amry; Susi Setiawati
Owner : Riset dan Jurnal Akuntansi Vol. 6 No. 4 (2022): Artikel Volume 6 Issue 4 Periode Oktober 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/owner.v6i4.1178

Abstract

The problem in this study is how the influence of the Independent Board of Commissioners, Audit Committee, Leverage and Capital Intensity on manufacturing companies listed on the Indonesia Stock Exchange in the year. The purpose of this study was to examine the influence of the Independent Board of Commissioners, Audit Committee, Leverage and Capital Intensity on manufacturing companies listed on the Indonesia Stock Exchange. The population of this research is all manufacturing companies listed on the Indonesia Stock Exchange. The sampling method used purposive sampling and obtained a sample of 116 companies. The analysis technique used is simple linear regression analysis with the help of SPSS. The proxy used to measure Tax Avoidance uses the Tax Expense divided by Pre-Tax Profit. The proxy used to measure the Independent Board of Commissioners using Independent Commissioners is divided by the total number of members. The proxy used to measure the Audit Committee uses Dummy which is worth 1 if the audit committee is> 3, and is worth 0 if the audit committee <3. The proxy used to measure leverage uses Total Debt divided by Total Assets. For the proxies used to measure Capital Intensity using Total Net Fixed Assets divided by Total Assets. The results of hypothesis testing obtained with a significant level of 5% indicate that only the audit committee has an influence with a significance value of 0.029 <0.05 against tax avoidance. While the results of hypothesis testing for independent board of commissioners, leverage and capital intensity have no effect on tax avoidance.
MENINGKATKAN KEMAMPUAN PENALARAN SISWA DENGAN MENERAPKAN MODEL PROBLEM BASED LEARNING Sisti Nadia Amelia; Yasifati Hia
JS (JURNAL SEKOLAH) Vol 7, No 2 (2023): MARET 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (173.938 KB) | DOI: 10.24114/js.v7i2.44335

Abstract

Abstract : Problem-Based Learning to Improve the Reasoning Abilities of Students. The purpose of this research is to enhance students reasoning abilities through the use of problem-based learning models. This research was conducted in two cycles. The difference in treatment between cycle I and cycle II lies in the stage of directing the investigation. The first cycle is guided individually, and the second cycle is guided both individually and in groups. The result shows that there was a mean increase in reasoning ability scores from 45,59 in cycle 1 to 60,29 in cycle 2 to 76,10.Keywords: Problem Based Learning, Reasoning AbilitiesAbstrak : Penerapan Model Pembelajaran Problem Based Learning Untuk Meningkatkan Kemampuan Penalaran Siswa. Tujuan penelitian ini adalah untuk meningkatkan kemampuan penalaran siswa dengan penggunaan problem-based learning. Penelitian ini dilakukan dalam dua siklus. Perbedaan perlakuan antara siklus I dan siklus II terletak pada tahap mengarahkan penyelidikan. Siklus pertama dibimbing secara individu, sedangkan siklus kedua dibimbing baik secara individu maupun kelompok. Hasil penelitian menunjukkan bahwa terjadi peningkatan rata-rata kemampuan penalaran siswa dari 45,59 pada siklus 1 menjadi 60,29 pada siklus 2 menjadi 76,10. Kata Kunci: Problem Based Learning, Kemampuan Penalaran
Pelatihan Dan Pendampingan Pembuatan Media Pembelajaran Interaktif Berbasis Adobe Flash CS3 Pada Materi Statistika Ramadhani, Fanny; Afiati Nasution, Nadrah; Nadia Amalia, Sisti
Jurnal Pengabdian Masyarakat Gemilang (JPMG) Vol. 2 No. 5: November 2022
Publisher : HIMPUNAN DOSEN GEMILANG INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/jpmg.v2i5.77

Abstract

Media pembelajaran berperan sebagai salah satu sumber belajar siswa. Dengan pemanfaatan media siswa akan lebih tertarik dalam belajar serta dapat mengasah pengetahuan mereka demi mencapai tujuan pembelajaran. Pembelajaran yang menyenangkan dengan penggunaan Media Interaktif berbasis IT misalnya mampu menarik minat siswa untuk lebih mendalami materi yang diajarkan. Terlebih jika guru yang bersangkutan menerapkan pembelajaran yang aktif, inovatif, kreatif, efektif dan menyenangkan. Namun sayangnya masih banyak guru yang tidak memperdulikan pemanfaatan Media Interaktif berbasis IT serta kegunaannya dalam proses pembelajaran. Beberapa guru yang telah diwawancarai mengaku bahwa tidak menggunakan Media Interaktif berbasis IT seperti Adobe Flash CS3 dikarenakan tidak pandai dalam mengoperasikan Aplikasi tersebut. Hal inilah yang menjadi latar belakang tujuan pengabdian masyarakat ini yakni untuk membantu guru-guru matematika dan bidang keahlian lainnya khususnya menggunakan Adobe Flash CS3 sebagai salah satu media pembelajaran. Kegiatan yang dikemas dengan pelatihan langsung ini telah meningkatkan pengetahuan guru-guru di SMK Sandhy Putra–2 Medan. Kegiatan pengabdian ini terdiri dari tiga tahapan, yaitu tahapan pertama persiapan dengan mengadakan wawancara kepada kepala sekolah, tahap kedua pelatihan dan pendampingan dan tahap ketiga evaluasi. Hasil pelatihan dan pendampingan ini menunjukkan bahwa 10 guru (83,33%) guru mampu membuat media pembelajaran interaktif berbasis Adobe Flash CS3 dan 3 guru (16,7%) belum mampu membuat media pembelajaran berbasis Adobe Flash CS3. Hal ini terjadi karena guru baru pertama kali menggunakan Aplikasi Adobe Flash CS3 untuk membuat media pembelajaran.
ANALISIS WAKTU TIDUR TERHADAP PENGARUH INDEKS PRESTASI MAHASISWA KELAS PSM 2020 A MENGGUNAKAN UJI MANN WHITNEY Tarigan, Dandi Rifa'i; Panggabean, Natanael; Manullang, Sudianto; Nadia Amalia, Sisti
NUMBERS : Jurnal Pendidikan Matematika & Ilmu Pengetahuan Alam Vol. 2 No. 1 (2024): January - March
Publisher : CV. ADIBA AISHA AMIRA

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

Abstract

This study aims to analyze the influence of sleep duration on students' academic performance using the Mann-Whitney U test. Sufficient sleep duration plays a vital role in maintaining one's health and academic achievement. The data was collected from a sample of PSM class of 2020 at a state university of medan. The data was divided into two groups based on sleep duration: a group with less than 7 hours of sleep and a group with 7 hours or more of sleep. The Mann-Whitney U test was employed to compare the total ranks of the two groups in the dataset. The results of the study revealed a correlation between sleep duration and students' academic performance. If the calculated U value is lower than the critical U value at the determined significance level, the null hypothesis is rejected, indicating a significant difference in academic performance between the two sleep duration groups. This study provides insights into the importance of maintaining sufficient sleep duration to support students' academic achievement. It is hoped that this research can serve as a reference for improving sleep quality and academic performance among students.
Analisis Faktor-Faktor yang Berhubungan dengan Kejadian Stres Pada Mahasiswa Tingkat Akhir S1 Matematika di Universitas Negeri Medan Sitepu, Eliya; Juliana Tampubolon; Sudianto Manulang; Sisti Nadia Amalia
Statistika Vol. 24 No. 1 (2024): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v24i1.3257

Abstract

ABSTRAK Stres adalah respons adaptif individual terhadap stimulus yang dianggap mengancam, dapat dialami oleh siapa saja, termasuk mahasiswa tingkat akhir. Penelitian ini fokus pada faktor-faktor yang memengaruhi tingkat stres mahasiswa tingkat akhir S1 Matematika di Universitas Negeri Medan, dengan penekanan pada penyusunan tugas akhir (skripsi). Beberapa faktor, seperti tuntutan akademik, masalah pribadi (manajemen waktu, motivasi, dukungan keluarga), dan aturan batas masa studi, diidentifikasi sebagai penyebab stres.Metode penelitian menggunakan pendekatan kuantitatif non-eksperimental dengan uji korelasi Rank Spearman. Hasil penelitian menunjukkan korelasi cukup kuat (0.380) antara faktor kejadian stres dan tingkat stres mahasiswa. Meskipun tidak mencapai tingkat signifikansi yang umum, temuan ini mengindikasikan bahwa mahasiswa yang mengalami berbagai faktor kejadian stres cenderung memiliki tingkat stres yang lebih tinggi. Penelitian ini memberikan wawasan mendalam tentang kompleksitas faktor-faktor yang berkontribusi terhadap stres mahasiswa tingkat akhir, menunjukkan perlunya pendekatan holistik dan intervensi terintegrasi dari perguruan tinggi untuk membantu mahasiswa mengelola stres dengan lebih efektif. Temuan ini juga memberikan dasar bagi pengembangan program dukungan dan pembinaan untuk membantu mahasiswa mengatasi tantangan akademik dan pribadi. ABSTRACT Stress is an individual adaptive response to a stimulus that is perceived as threatening, can be experienced by anyone, including final year students. This research focuses on the factors that influence the stress level of final year undergraduate mathematics students at Medan State University, with an emphasis on the preparation of the final project (thesis). Several factors, such as academic demands, personal problems (time management, motivation, family support), and study period limit rules, were identified as causes of stress.The research method used a non-experimental quantitative approach with the Spearman Rank correlation test. The results showed a moderately strong correlation (0.380) between stress event factors and students' stress levels. Although not reaching the usual level of significance, this finding indicates that college students who experience multiple stressful event factors tend to have higher stress levels. This study provides an in-depth insight into the complexity of factors contributing to final year university students' stress, suggesting the need for a holistic approach and integrated interventions from universities to help students manage stress more effectively. The findings also provide a basis for the development of support and coaching programs to help college students overcome academic and personal challenges.
The Relationship Between the Human Development Index (HDI) and Poverty Rate in North Sumatra in 2023: Spearman Correlation Analysis Hutapea, Risca Octaviyani; Triyunita, Gizka; Amalia, Sisti Nadia
Holistic Science Vol. 5 No. 2 (2025): Jurnal Nasional Holistic Sciences
Publisher : Lembaga Riset Mutiara Akbar NOMOR AHU-0003295.AH.01.07 TAHUN 2021

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/hs.v5i2.1133

Abstract

This study aims to analyze the relationship between the Human Development Index (HDI) and poverty levels in 33 regencies/cities across North Sumatra Province in 2023. The background of this research is rooted in the regional disparities in welfare and the strategic role of human development in poverty alleviation efforts. The data used are secondary data sourced from Statistics Indonesia (BPS), comprising HDI scores and poverty rates. The analytical methods applied include descriptive analysis, the Shapiro-Wilk normality test, and the Spearman rank correlation test, which is appropriate for non-normally distributed data. The findings reveal a significant negative correlation between HDI and poverty with a Spearman correlation coefficient of -0.5936 and a p-value of 0.0003. This indicates that regions with higher HDI tend to have lower poverty rates. The results highlight the importance of improving education quality, healthcare services, and living standards as key strategies in reducing poverty. This study is expected to contribute to the formulation of inclusive regional development policies that prioritize human well-being.
Peramalan Prakiraan Cuaca Setiap Hari di Kota Medan dengan Pendekataan Rantai Markov Septia Cahaya Sari Sipayung; Thanaya Lovry Lastiar; Trinita Melyana Hutagalung; Sisti Nadia Amalia
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3516

Abstract

This research utilizes the Markov Chain method to analyze daily weather data in the city of Medan. The main objective of this study is to forecast weather changes in the future based on the weather conditions of the previous day. Daily weather data was collected from the nearest weather station over a specific period of time. The analysis results indicate that the Markov Chain model provides good estimates of the likelihood of weather changes from one day to the next. The steady state probabilities demonstrate the dominance of partly cloudy and clear weather in the long term. This research provides valuable insights for various sectors related to weather, such as agriculture, transportation, and tourism.
Peramalan Bencana Alam di Kota Semarang dengan Menggunakan Markov Chains Suci Ramadhani; Surya Alenta Nababan; Yasmin Azzahra; Sisti Nadia Amalia
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3519

Abstract

Indonesia, as a country with complex geological conditions due to the convergence of various tectonic plates, is highly susceptible to natural disasters such as earthquakes, tsunamis, and volcanic eruptions. The city of Semarang, as the capital of Central Java Province, also frequently faces disasters such as floods, landslides, and earthquakes. Predicting the occurrence of natural disasters becomes crucial to mitigate the negative impacts they cause. This study uses the Markov chain method to predict natural disasters in the city of Semarang based on disaster data from 2018-2022. The prediction results indicate a 16% chance of floods, 34% chance of landslides, 10% chance of tornadoes, 22% chance of fires, and 17% chance of falling trees in 2023. Validation of the predictions against actual data for 2023 shows a relatively good match for floods and fires, but there are significant differences in the predictions for tornadoes and falling trees. These results indicate that the Markov chain method has potential in predicting disaster occurrences, but accuracy improvements are needed to account for weather variability and dynamic environmental factors. This research is expected to assist the government and society in enhancing disaster preparedness and mitigation in the future.
Analisis Model Sistem Antrian Pada Pelayanan Konsumen Mie Gacoan Cabang Pancing Kota Medan Yohana Sitorus; Sukma Dermawan Saragih; Wahyuni Susi Sulastri Berasa; Sisti Nadia Amalia
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3521

Abstract

This research aims to analyze the queuing system model for consumer service at Mie Gacoan Pancing Branch, Medan City. With the increasing popularity of Mie Gacoan, there has been a significant increase in the number of customers, resulting in long queues and long waiting times. This research uses observation and interview methods to collect data regarding the number of customers, arrival time, service time, and number of available waiters. The data is then analyzed using the M/M/1 and M/M/c queuing models to determine queue characteristics such as average queue length, average waiting time in the queue, and waiter utility. The analysis results show that the M/M/c queuing model is more effective in reducing waiting time and queue length compared to the M/M/1 model. By increasing the number of waiters, service efficiency can be increased, thereby increasing customer satisfaction. This research provides strategic recommendations for the management of Mie Gacoan Pancing Branch in optimizing the queuing system to provide better service to consumers.
Co-Authors Ade Andriani Afiati Nasution, Nadrah Andy Satria Andy Satria Anita Talia ARNAH RITONGA Debi Yandra Niska Dian Septiana Dinda Kartika Erita Astrid Fahmi Ashari S. Sihaloho Fanny Ramadhani Fevi Rahmawati Suwanto Fikri Syahputra Hafizha Zahra Hutapea, Risca Octaviyani Ichwanul Muslim Karo Karo Juliana Tampubolon Manullang, Sudianto Marwan Faiz Hilmi Muhammad Ashari Nadrah Afiati Nurhasanah Siregar Nurul Maulida Surbakti Panggabean, Natanael Putri Maulidina Fadilah Ramadhani, Fanny Septi Melani Putri Tambunan Septia Cahaya Sari Sipayung Shalsha Nazillah Sitepu, Eliya Suci Ramadhani Sudianto Manulang Sukma Dermawan Saragih Surya Alenta Nababan Susi Setiawati Talitha Nakhwan Hasibuan Tarigan, Dandi Rifa'i Thanaya Lovry Lastiar Trinita Melyana Hutagalung Triyunita, Gizka Wahyuni Susi Sulastri Berasa Widya Narti Lubis Witri Wardani Hulu Yasifati Hia Yasmin Azzahra Yohana Sitorus Zul Amry