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Research in the Mathematical and Natural Sciences
Published by Cv. Scimadly Publishing
ISSN : -     EISSN : 28286804     DOI : https://doi.org/10.55657/rmns
Core Subject : Science, Education,
Computer Science & IT Education Mathematics
Research in the Mathematical and Natural Sciences (RiMaNs) is a national journal intended as a communication forum for mathematicians and other scientists from many practitioners who use mathematics in their research. RiMaNs disseminate new research results in all areas of mathematics and their applications. Besides research articles, the journal also receives survey papers that stimulate research in mathematics, Natural Sciences and its applications. The scope of the articles published in this journal deals with a broad range of mathematics and natural sciences topics, including Mathematics, Applied Mathematics, Statistics and Probability, Applied Statistics, Mathematics Education, Mathematics Learning, Computational Mathematics, Science and Technology, Computer Science, Artificial Intelligence, Optimization.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 50 Documents
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Meningkatkan Kemampuan Numerasi Matematika Siswa Melalui Pendekatan Problem-Based Learning J. Lihawa, Ningsi; Zakaria, Perry; Kobandaha, Putri Ekawati
Research in the Mathematical and Natural Sciences Vol. 4 No. 1 (2025): November 2024-April 2025
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v4i1.195

Abstract

This study aims to improve students' mathematical numeracy skills through the Problem Based Learning (PBL) approach. This research was conducted at SMK Negeri 1 Bonepantai in the 2024/2025 academic year. The subjects of this study were 13 class X-TKJ students. Data collection techniques used were observation and tests. The research instruments used were numeracy ability test instruments, instructor activity observation sheets, and student activity observation sheets. This study was conducted in two rounds. This is evident from the fact that teacher activities with good and very good criteria increased by 19.04 percent from 76.2% in cycle I to 95.24 percent in cycle II. Additionally, with high and very strong criteria, student activities rose by 41.14 percent from 47.06 percent in cycle I to 88.2 percent in cycle II. Additionally, students' arithmetic numeracy skills improved by 23.08 percent, rising from 6 1.54 percent in cycle I to 8 4.62% in cycle II. As a result, the action success indicator has been attained by the success indicators for teacher and student observation activities as well as the students' mathematical numeracy skills. Therefore, the use of the Problem Based Learning (PBL) model has been scientifically proven to improve the mathematical numeracy ability of Class X students of SMK Negeri 1 Bonepantai.
Penjadwalan Mata Pelajaran Menggunakan Metode Integer Linear Programming di SMA Negeri 1 Tilango Djafar, Fitria; Katili, Muhammad Rifai; Nasib, Salmun K; Nurwan, Nurwan; Wungguli, Djihad; Arsal, Armayani
Research in the Mathematical and Natural Sciences Vol. 4 No. 1 (2025): November 2024-April 2025
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v4i1.200

Abstract

Penjadwalan mata pelajaran secara optimal sangat penting untuk memastikan kelancaran kegiatan belajar dan mengajar. Di SMA Negeri 1 Tilango, penjadwalan yang dilakukan secara manual oleh pihak kurikulum cenderung memakan waktu yang cukup lama, sehingga sering terjadi bentrok antar mata pelajaran pada waktu yang bersamaan. Proses penjadwalan manual ini cukup sulit karena harus memenuhi semua aturan dan kebijakan sekolah yang berlaku. Untuk mengatasi tantangan tersebut, digunakan metode integer linear programming (ILP) yang dapat membantu menyusun jadwal mata pelajaran secara lebih efisien dan terstruktur. Penelitian ini bertujuan untuk menghasilkan jadwal mata pelajaran yang ideal dengan meminimalkan total bobot pelajaran, hari, dan waktu menggunakan metode ILP. Penyusunan jadwal diselesaikan dengan bantuan software Lingo 18.0. Hasil penelitian menunjukkan bahwa jadwal yang dihasilkan dengan metode ILP lebih optimal dibandingkan dengan penjadwalan manual, karena mampu memenuhi semua batasan dan kendala yang telah ditentukan oleh sekolah..
Pengelompokan Data Stunting di Indonesia Menggunakan Metode X-Means dan Agglomerative Hierarchical Clustering Wahab, Nur Dhea; Nasib, Salmun K.; Nurwan; Wungguli, Djihad; Yahya, Nisky Imansyah
Research in the Mathematical and Natural Sciences Vol. 4 No. 1 (2025): November 2024-April 2025
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v4i1.201

Abstract

Stunting is one of the serious problems that threaten the quality of human resources in Indonesia. This study aims to analyze the patterns and characteristics of stunting in Indonesia by applying the X-Means clustering method and Agglomerative Hierarchical Clustering (AHC). The X-Means method is used to determine the optimal number of clusters automatically by utilizing the Bayesian Information Criterion (BIC), while AHC forms a dendrogram to understand the multilevel structure of the clusters formed. Based on the analysis, the X-Means method produces three optimal clusters with the smallest BIC value of 651.9475, where cluster 1 consists of 17 provinces, cluster 2 includes 12 provinces, and cluster 3 includes 5 provinces. The AHC method with the Single Linkage approach also produced three optimal clusters, with cluster 1 covering 32 provinces, cluster 2 consisting of 1 province (West Nusa Tenggara), and cluster 3 covering 1 province (East Nusa Tenggara), as well as the highest Silhouette Index value of 0.28. The results show that both methods provide a comprehensive picture of stunting patterns in Indonesia, which can be used as a basis for designing more targeted intervention programs according to the characteristics of each cluster. This data-driven strategy is expected to increase policy effectiveness in reducing stunting in Indonesia.
Pemilihan Metode Optimal Untuk Prediksi Angka Kemiskinan Di Provinsi Gorontalo: Perbandingan Double Exponential Smoothing dan Bayesian Structural Time Series wolah, Meitasya; Nasib, Salmun K.; Arsal, Armayani; Hasan, Isran K.; Asriadi; Abdussamad, Siti Nurmardia
Research in the Mathematical and Natural Sciences Vol. 4 No. 1 (2025): November 2024-April 2025
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v4i1.202

Abstract

Kajian ini mengevaluasi angka kemiskinan di Indonesia yang masih tinggi dengan fokus pada Provinsi Gorontalo yang menjadi urutan kelima sebagai provinsi termiskin di Indoneisa. Meskipun angka kemiskinan ekstrem nasional menurun menjadi 1,12% pada Maret 2023, Gorontalo mencatat masih 183,71 ribu penduduk miskin dengan garis kemiskinan per kapita sebesar Rp 442.194. Tujuan penelitian ini untuk membandingkan dua teknik peramalan, yaitu Bayesian Structural Time Series (BSTS) dan Double Exponential Smoothing (DES) untuk menilai efektivitas masing-masing metode dalam memprediksi angka kemiskinan di Provinsi Gorontalo. Hasil analisis menunjukkan bahwa model Double Exponential Smoothing (DES) memiliki Mean Absolute Percentage Error (MAPE) sebesar 6,6%, lebih rendah dibandingkan MAPE Bayesian Structural Time Series (BSTS) yang mencapai 7,39%. MAPE yang lebih rendah pada Double Exponential Smoothing (DES) menunjukkan kemampuannya yang lebih baik dalam mengidentifikasi pola data dan menghasilkan perkiraan yang lebih akurat. Meskipun BSTS mampu menangkap komponen musiman dan Trend dengan teknik probabilistik yang canggih, hasil ini menegaskan bahwa Double Exponential Smoothing (DES) adalah metode yang lebih efektif untuk memprediksi angka kemiskinan di Provinsi Gorontalo.
Bilangan Terhubung Pelangi pada Graf Tengah (M(G)) dari Graf Ulat (C_(m,2)) Kiayi, Fuji Fauzia; Ismail, Sumarno; Yahya, Nisky Imansyah; Yahya, Lailany; Nasib, Salmun K.
Research in the Mathematical and Natural Sciences Vol. 4 No. 1 (2025): November 2024-April 2025
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v4i1.204

Abstract

Edge coloring of a graph is considered rainbow connected if the graph is connected and a rainbow path exists for every pair of points. The rainbow connection number of a graph, denoted as , represents the smallest number of colors required to make the graph is rainbow connected. This study examines the rainbow connection number of the middle graph of a caterpillar graph. The middle graph is a modified result of a graph , denoted as . It is described as a graph constructed from the intersection of a set of points and edges. The set of points in the middle graph consists of the combination of points and edges of the graph . Two points are considered adjacent if only they are connected in , or if one point corresponds to a point and the other corresponds to an edge adjacent to it. A caterpillar graph denoted by is a tree that will be a path if all the leaf points are deleted. The results of this research show the rainbow-connected number theorem for the middle graph of the caterpillar graph for .
Analisis Kesulitan Belajar Siswa Dalam Menyelesaikan Soal Cerita Pada Materi Barisan dan Deret Aritmatika Masna, Masna; Ismail, Sumarno; Oroh, Franky A.
Research in the Mathematical and Natural Sciences Vol. 4 No. 2 (2025): May-October 2025
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v4i2.242

Abstract

This review aims to determine the learning difficulties experienced by class VIII students of SMP Negeri 2 Kwandang in understanding Groups and Mathematical Series which are estimated by signs of student learning difficulties. The strategy used is enlightening. The sampling procedure uses direct irregular examination, and the strategy for collecting information is to provide a trial of learning outcomes as an explanation that alludes to 3 signs of learning difficulties, namely calculated difficulty, guideline difficulty and functional challenge. The results showed that the level of students' learning difficulties was in the middle class. Many students were able to complete the narrative according to signs of learning difficulties. Students who have difficulty dealing with word problems due to a lack of understanding of the material and how to solve it. The lack of ability to answer questions and practice the material assisted requires techniques and systems to limit the difficulties experienced by students.
Kesulitan Belajar Matematika Siswa Kelas VIII SMP Negeri 1 Telaga Dalam Pembelajaran Daring Bagu, Nasir; Pomalato, Sarson W. Dj.; Abdullah, Abdul Wahab
Research in the Mathematical and Natural Sciences Vol. 4 No. 2 (2025): May-October 2025
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v4i2.249

Abstract

This study aims to identify the sources and causes of learning difficulties in mathematics among eighth-grade students at SMP Negeri 1 Telaga during online learning. A descriptive research method was employed, with data collected through a Likert-scale questionnaire and semi-structured interviews. The results revealed an average difficulty percentage of 53.40%, with the majority falling into the medium category. Unstable network conditions were identified as the primary source of difficulties (63.91%), while limited interaction and delivery of material were the main causes (59.06%). These findings provide valuable insights for teachers and schools in designing more effective online mathematics learning strategies.
Optimasi Jadwal Pelajaran Berbasis Integer Linear Programming di MTS Nurul Islam Bumiharjo Jepara Rokhim, Mansyur; Saputro, Heru
Research in the Mathematical and Natural Sciences Vol. 4 No. 2 (2025): May-October 2025
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v4i2.251

Abstract

Various limitations such as teacher availability, classroom space, lesson time, and subject load. At MTs. Nurul Islam Bumiharjo, the schedule preparation process is still done manually, which often causes schedule conflicts and suboptimal use of resources. This study aims to optimize the preparation of lesson schedules by applying the Integer Linear Programming (ILP) method, one of the techniques in operations research that is able to handle scheduling problems with many constraints. The ILP model is designed to minimize overlapping teacher and room schedules, and to ensure the distribution of lesson hours according to curriculum standards. The primary data used is the 2024/2025 school year lesson schedule. The results of the study show that the ILP model is able to produce a more efficient and less conflicting schedule solution than the manual method. Thus, this approach can be a strategic alternative in a data-based school scheduling system.
Peningkatan Penalaran Matematika melalui Problem Based Learning pada Materi Relasi dan Fungsi Usman, Agustian; Zakaria, Perry; Pauweni, Khardiyawan A.Y.
Research in the Mathematical and Natural Sciences Vol. 4 No. 2 (2025): May-October 2025
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v4i2.269

Abstract

This study aims to improve students’ mathematical reasoning abilities through the implementation of the Problem Based Learning (PBL) model in the topic of relations and functions. The research employed a classroom action research (CAR) design conducted in a single cycle. The subjects were 28 students from class VIII-6 at SMP Negeri 2 Limboto in the 2022/2023 academic year. Data collection techniques included teacher activity observation sheets, student activity observation sheets, and a mathematical reasoning ability test. The results indicate that the application of the PBL model effectively enhanced students’ mathematical reasoning. This is evidenced by: (1) the average percentage of teacher activity observations reaching 82% in the good category; (2) the average percentage of student activity observations reaching 83% in the good category; and (3) the average score of the mathematical reasoning test reaching 83. These findings suggest that the PBL model is effective in improving students’ reasoning abilities in learning mathematical relations and functions.
Analisis Sensitivitas Model Linear Programming Untuk Optimalisasi Produksi Pia Cendana Menggunakan Metode Branch and Bound Firdaus, Novarianti; Nasib, Salmun K.; Wungguli, Djihad
Research in the Mathematical and Natural Sciences Vol. 4 No. 2 (2025): May-October 2025
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v4i2.273

Abstract

This study aims to optimize the production of Pia Cendana enterprise using a linear programming model based on the Branch and Bound method. In order to achieve maximum profit, a mathematical formulation is constructed, including an objective function and constraint functions based on data regarding raw material composition, resource availability, production costs, and selling prices of each product variant. The Branch and Bound method was applied to obtain an optimal solution in the form of integers that are operationally valid. In addition, a sensitivity analysis was conducted to evaluate the impact of changes in coefficients within the objective function and constraints on the optimal solution. The findings show that the Pia Cendana enterprise can achieve an optimal profit of IDR 1,620,000 or 1.86 % per month. This amount is higher than the previous actual profit of only IDR 86,888,000, indicating a profit increase of IDR 88,508,000. The study indicates that this method improves resource efficiency and yields more profitable production. The optimal solution demonstrates that production can be increased while still considering capacity and raw material limitations. The sensitivity analysis also proves that the model is sufficiently stable against parameter variations. This study provides practical contributions to Pia Cendana enterprise in formulating more efficient and profitable production strategies.

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