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All Journal M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika MES: Journal of Mathematics Education and Science JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) TIN: TERAPAN INFORMATIKA NUSANTARA Panggung Kebaikan : Jurnal Pengabdian Sosial
Siregar, R. Maisaroh Rezyekiyah
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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PENERAPAN PARTIAL LEAST SQUARE-MODIFIED FUZZY CLUSTERING UNTUK SEGMENTASI DALAM PEMODELAN DATA PENGIRIMAN PAKET JNE MEDAN Pasya, Aulia Mumtazah; Husein, Ismail; Siregar, R. Maisaroh Rezyekiyah
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.10202

Abstract

JNE Express is one of the companies engaged in the field of shipping goods, the high level of shipping goods carried out and the many types of goods and types of services available at JNE Express, therefore knowledge is needed regarding the variables that affect the level of shipping goods and segmentation of the types of goods to be shipped. In this study, it is suspected that the type of service and special handling variables on the package affect the level of shipping goods carried out by JNE Express, Medan branch in the outbound unit. The approach used to determine the relationship between latent variables and model segmentation in shipping data is PLS-MFC (Partial Least Square-Modified Fuzzy Clustering). The results of the study showed that all variable indicators were significant where 4 of the 5 services type variable indicators were significant to the quantity of shipping goods, and 2 of the 2 special handling variable indicators were significant. The optimal segment results obtained based on the lowest FPI and NCE values were 2 segments or classes with an FPI value of 0.998 and an NCE value of 1.242. Where the exogenous latent variable that affects the high quantity of goods is the type of service with the REG indicator
Decision Support System Selecting The Best Skincare Using The Oreste Method Husein, Ismail; Anggraini, Dwi; Siregar, R. Maisaroh Rezyekiyah
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 9 No. 2 (2024): Mathline: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v9i2.635

Abstract

The development of the beauty industry, especially in skincare products, raises the need for a system that helps individuals choose skincare products according to their needs and skin conditions. This research aims to develop a Decision Support System (SDM) using the ORESTE Method to facilitate the selection of the best skincare. ORESTE is a multi-criteria decision-making method capable of dealing with uncertainty and ambiguity. This research adapts the ORESTE Method in the context of skincare product selection by considering important criteria such as price, quality, brand, age, and suitability to the user's skin type. The sampling technique that will be used in this research is non probability sampling technique with purposive sampling type.  Applied research is the type of research used in this study. As a continuation of basic research, applied research aims to solve a problem in society, industry, or government. The type of data used is primary data, and the data source used is a questionnaire / questionnaire. The data was used to develop a decision model using the ORESTE Method, which was then tested and validated using a diverse sample of skincare products. The results show that the developed SPK provides skincare product recommendations according to user preferences and needs. By using the ORESTE Method, this SPK is able to overcome the complexity in skincare decision making, providing accountable results. This research contributes to making it easier for individuals to choose skincare products according to their skin conditions and preferences, and serves as a basis for the development of similar systems in the beauty field. An attempt to show the novelty between this research and previous research was made by using the ORESTE method in skincare product selection. The results show MS Glow as the best alternative with a preference value of 1.348, followed by Wardah, Scarlett, Garnier, and Pond's with their respective preference values.
Implementasi Model Pembelajaran Number Head Together Terhadap Kemandirian Belajar Matematis Siswa Siregar, R. Maisaroh Rezyekiyah
TIN: Terapan Informatika Nusantara Vol 5 No 8 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i8.5429

Abstract

This research aims to analyze the impact of implementing the Number Head Together (NHT) cooperative learning model on students' independent mathematical learning. The urgency of this research is based on the low level of student learning independence, especially in learning mathematics, which is often considered difficult and confusing. To overcome this problem, a learning approach is needed that is able to increase students' initiative, responsibility and self-confidence in learning. This research uses a literature review method by analyzing seven relevant research articles. The selected articles contain empirical findings about the effectiveness of the NHT model in increasing students' learning independence and mathematical learning outcomes. The results of the analysis show that the NHT model is successful in increasing student learning independence through a cooperative learning structure that encourages active interaction and a sense of responsibility within the group. Increased learning independence also has an impact on improving students' critical thinking skills, problem solving, and understanding of mathematical concepts. Apart from that, this model has been proven to be able to increase students' motivation to learn independently and actively. The implication of the results of this research is that the NHT cooperative learning model can be used as an alternative teaching strategy for educators, especially in subjects that require in-depth understanding of concepts such as mathematics. The application of this model not only supports improving student learning outcomes, but also develops important non-academic skills, such as the ability to work together and independence. This research makes a significant contribution to the educational literature and innovative teaching practices.
Peningkatan Kemandirian Belajar Mahasiswa Prodi Matematika Fakultas Sains dan Teknologi UIN Sumatera Utara Melalui Model Pembelajaran project Based Learning Siregar, R. Maisaroh Rezyekiyah
JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Vol 8, No 2 (2022)
Publisher : Fakultas Keguruan dan Ilmu pendidikan (FKIP) Universitas Labuhan Batu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpms.v8i2.3171

Abstract

This study aims to see the magnitude of in increase in the self-regulated learning of students by using a project based learning model. This study method was quantitative. The sample in this study were taken using purposive sampling technique. The research instruments used were (1) test essay test to classify students based on ability level (2) questionnaire to see student self regulated learning.The instrument was be avowed to have met the requirements of content validity, as well as the reliability coefficient. The magnitude of the increase in the self regulated learning ability from before to after receiving learning with this learning model can be seen by calculating the normalized gain (g). Based on the results of research on increasing student self-regulated learning has increased based on the average value of normalized gain > 0.7 with high criteria.The result of this study  was recommended for teachers or other users who want to increase the student self-regulated learning.
Evaluasi Kepatuhan Pelaporan Satgas di PT PLN (PERSERO) Unit Induk Distribusi Sumatera Utara Melalui Klasterisasi K-Means Natasya, Novyra Tedi; Linda, Nuramal; Dalimunthe, Riska Aulia; Siregar, R. Maisaroh Rezyekiyah
Panggung Kebaikan : Jurnal Pengabdian Sosial Vol. 2 No. 4 (2025): November: Panggung Kebaikan : Jurnal Pengabdian Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/panggungkebaikan.v2i4.2518

Abstract

In the era of globalization, university graduates are required to have the ability to implement knowledge in real practice, which is realized through the Field Work program. This study aims to evaluate the compliance of Task Force reporting at PT PLN (Persero) North Sumatra Main Distribution Unit (UID North Sumatra). The method used is a quantitative approach with K-Means Clustering. Compliance reporting data was obtained from internal company documents, which then went through the preprocessing and clustering stages using the K-Means algorithm, with the determination of the optimal cluster number through the Elbow and Silhouette methods. The K-Means clustering analysis results identified two groups of units with different levels of compliance. Cluster 2, consisting of UP3 Binjai and UP3 Sibolga, showed a higher and more consistent level of reporting compliance. In contrast, Cluster 1 (including UP2D, UP3 B. Barisan, UP3 L. Pakam, UP3 Medan, UP3 Medan Utara, UP3 Nias, UP3 P. Sidimpuan, UP3 P. Siantar, and UP3 Prapat) had a tendency for lower compliance. This finding indicates a difference in reporting consistency that affects the effectiveness of work safety supervision. The K-Means method is proven to help PLN management identify units with low compliance, allowing corrective actions to be prioritized appropriately.
Co-Authors Dalimunthe, Riska Aulia Dwi Anggraini Ismail Husein, Ismail Linda, Nuramal Natasya, Novyra Tedi Pasya, Aulia Mumtazah