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All Journal Jurnal Nasional Holistic Science EDUCTUM: Journal Research Trigonometri: Jurnal Matematika dan Ilmu Pengetahuan Alam AKSIOMA : Jurnal Sains Ekonomi dan Edukasi
Hutapea, Risca Octaviyani
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Other

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ANALISIS FAKTOR - FAKTOR YANG MEMENGARUHI HARGA PROPERTI Amalia, Seila; Lubis, M. Shadri; Putri, Alya Nabilla; Napitupulu, Rusmawanty; Hutapea, Risca Octaviyani; Sianturi, Ardicha
Trigonometri: Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 5 No. 2 (2024): Trigonometri: Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : Cahaya Ilmu Bangsa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3483/trigonometri.v5i2.8254

Abstract

Artikel ini membahas berbagai faktor yang memengaruhi harga properti, dengan fokus pada aspek fisik dan lingkungan yang langsung terkait dengan karakteristik properti itu sendiri. Faktor-faktor yang dianalisis meliputi harga properti, ukuran bangunan, jumlah kamar tidur dan kamar mandi, usia bangunan, lokasi properti, serta fasilitas yang tersedia di sekitar properti. Ukuran dan jumlah ruang dalam properti, seperti jumlah kamar tidur dan kamar mandi, berpengaruh langsung terhadap penilaian nilai properti. Begitu pula, usia bangunan menjadi indikator penting yang menunjukkan kondisi fisik dan potensi renovasi yang diperlukan, yang dapat memengaruhi harga jual. Lokasi properti tetap menjadi faktor utama dalam menentukan harga, karena kedekatannya dengan fasilitas umum, pusat bisnis, transportasi, dan area yang berkembang pesat sangat berpengaruh. Fasilitas seperti kolam renang, taman, atau sistem keamanan juga turut meningkatkan nilai properti. Analisis ini bertujuan untuk memberikan pemahaman yang lebih mendalam tentang bagaimana faktor-faktor tersebut saling berinteraksi dalam menentukan harga pasar properti, serta memberikan panduan bagi pembeli, penjual, dan investor dalam membuat keputusan yang tepat.
Prediction of Increase in House Prices Using Newton's Divided Difference Method Hutapea, Risca Octaviyani; Sinaga, May Rani Tabitha; Lubis, Muhammad Shadri Ismaun; Aqil, Muhammad Fachri
Holistic Science Vol. 4 No. 3 (2024): Jurnal Nasional Holistic Science
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.v4i3.771

Abstract

This research predicts house price increases using Newton's Divided Difference Method based on historical datasets from the Melbourne Housing Snapshot (2016–2017). A pattern of rising home prices that is consistent with a linear trend is revealed by preliminary investigation. By building an interpolation polynomial using Newton's Divided Difference Method, home prices in 2025 are predicted to be AUD 1,753,391.53. This technique works well for spotting upward price trends in data that is continuously distributed linearly. These results offer crucial information to help with strategic choices in market research and real estate investing. This approach may accurately simulate the link between year (an independent variable) and house prices (a dependent variable) by using Newton polynomials. The impact of market demand and other economic factors on sharply rising property prices is reflected in these projections.
Spatial Analysis of Earthquake Distribution Patterns in North Sumatera in 2022 Using Moran's Test and Moran Scatter Plot Mapping Hutapea, Risca Octaviyani; Sinaga, May Rani Tabitha; Lubis, Muhammad Shadri Ismaun; Aqil, Muhammad Fachri
EDUCTUM: Journal Research Vol. 4 No. 2 (2025): Eductum: Journal Research
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejr.v4i2.1006

Abstract

This study aims to analyze the spatial distribution patterns of earthquake occurrences in North Sumatra during 2022 using spatial statistical approaches, namely the global Moran’s I autocorrelation test and Local Indicators of Spatial Association (LISA), visualized through a Moran Scatter Plot. The data used in this study are secondary data obtained from the official earthquake catalog released by the Meteorology, Climatology, and Geophysics Agency (BMKG), including information on geographic location, time of occurrence, magnitude, and depth of earthquakes. The analysis was conducted using R and QGIS software, applying three types of spatial weighting: inverse distance, k-nearest neighbors (KNN), and adaptive Gaussian kernel functions. The results of the Moran’s I test revealed significant global spatial autocorrelation, indicating that earthquakes with similar magnitudes tend to cluster geographically. In contrast, the LISA analysis showed that most points did not exhibit significant local spatial association, although a few clusters of high-high, low-low, high-low, and low-high types were identified. These findings confirm the presence of spatial patterns in the distribution of earthquakes in North Sumatra, which are relevant for supporting mitigation efforts and spatially-based disaster management planning.
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.
Pengaruh Jenis Cairan Pelapis terhadap Tingkat Pencoklatan Buah Apel dengan Rancangan Acak Kelompok Lengkap Panjaitan, Hotnauli Roni Arta; Triana, Dinie; Hutapea, Risca Octaviyani; Pulungan, Zakiy Maulana; Ndruru, Albert Servant
AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Vol. 2 No. 12 (2025): AKSIOMA : Jurnal Sains, Ekonomi dan Edukasi
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/aksioma.v2i12.1996

Abstract

This study aims to determine the effect of coating solutions consisting of control, lemon water, and salt water on the browning intensity of fresh-cut apples using a Completely Randomized Design (CRD). Enzymatic browning is a major problem in fresh-cut apples due to the oxidation of phenolic compounds triggered by the activity of the polyphenol oxidase enzyme. Lemon water acts through mechanisms of pH reduction and antioxidant activity, while salt water inhibits browning through ionic effects and osmotic pressure. The experiment was conducted using homogeneous apple units, and the browning scores obtained were analyzed using ANOVA at a 5% significance level. The results showed a significant effect among treatments, with an F-value of 5.136 exceeding the F-table value of 4.226. Lemon water was found to be the most effective in inhibiting browning, followed by salt water, while the control treatment exhibited the highest browning intensity. These findings confirm that simple natural materials can serve as effective anti-browning coatings, especially when applied to homogeneous experimental units using a CRD.
Co-Authors Amalia, Seila Aqil, Muhammad Fachri Lubis, M. Shadri Lubis, Muhammad Shadri Ismaun Napitupulu, Rusmawanty Ndruru, Albert Servant Panjaitan, Hotnauli Roni Arta Pulungan, Zakiy Maulana Putri, Alya Nabilla Sianturi, Ardicha Sinaga, May Rani Tabitha Sisti Nadia Amalia Triana, Dinie Triyunita, Gizka