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Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa
Published by Asosiasi Riset Ilmu Matematika dan Sains Indonesia
ISSN : 30326230     EISSN : 30465427     DOI : 10.62383
Core Subject : Science, Education,
Earth & Planetary Sciences Mathematics
Bidang kajian dalam jurnal ini termasuk sub rumpun Ilmu Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa. Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 191 Documents
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Penerapan Teori Graf dalam Kehidupan Sehari-Hari M. Fiqram Chan Safetra; Nayla Desviona; Helmina Helmina; Amelia Rianti; M.Rezan Prayogi
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 1 (2026): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v4i1.923

Abstract

Graph theory as a branch of discrete mathematics has experienced significant development in its application to modern complex network systems, particularly in digital social networks and transportation systems. This research aims to analyze fundamental concepts of graph theory, examine characteristics of cycle detection algorithms along with their computational complexity, investigate their application in digital social network analysis, and explore their implementation in digital transportation system optimization. The research method employs a qualitative approach with library research focusing on scientific literature from 2020-2025 period from accredited academic databases such as Scopus, Web of Science, and IEEE Xplore, utilizing thematic analysis techniques to identify meaningful patterns from the examined literature. Research findings indicate that fundamental graph theory concepts including vertices, edges, and graph classifications form the foundation for relational structure modeling. Cycle detection algorithms such as Depth-First Search, Union-Find, and Tarjan demonstrate effectiveness with O(V+E) complexity for large-scale graphs. Applications in digital social networks facilitate community identification through Multi-View Clustering, centrality analysis for influencer detection, and understanding viral information dissemination patterns. Implementation in digital transportation systems demonstrates route planning optimization using Dijkstra and Bellman-Ford algorithms, vulnerability analysis through articulation point and bridge identification, and bottleneck detection with betweenness centrality. The research concludes that integration of graph theory in discrete mathematics education enhances critical thinking skills and real-world application understanding, with recommendations for algorithm development for massive dynamic graphs and machine learning integration in graph algorithm optimization.
Analisis Pengendalian Kualitas Produksi Ban Mobil dengan Metode Statistical Process Control (SPC) Ni Putu Eka Martini; Ni Kadek Kleo Dwi Handayani; Aulia Sari Pratiwi; I Komang Triatmaja Putra; Ni Luh Putu Suciptawati
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 1 (2026): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v4i1.924

Abstract

This study aims to analyze the quality control of car tire production at Company X using the Statistical Process Control (SPC) method. The data used in this research are secondary data obtained from GitHub, consisting of weekly production and defect data observed over one year with a total of 52 observations. The analysis was carried out using descriptive statistics, histograms, P-charts, and cause-and-effect (Ishikawa) diagrams. The histogram results indicate that the distribution of defects is right-skewed, showing that most defects occur at a moderate level, although several extreme values are present. The initial P-chart analysis revealed several points below the lower control limit, indicating the presence of special cause variation and suggesting that the production process was not fully stable. After removing out-of-control data and recalculating the control limits, the revised P-chart showed that all data points were within the control limits, indicating that the production process was statistically under control. Furthermore, the Ishikawa diagram identified potential causes of defects related to human factors, machines, methods, materials, and the working environment. Overall, the results demonstrate that SPC is an effective tool for monitoring production stability and providing a systematic basis for improving quality consistency in car tire manufacturing processes.
Analisis Miskonsepsi Siswa Kelas VI Sekolah Dasar pada Konsep Sistem Gerak Manusia melalui Metode Four-Tier Diagnostic Test Ika Isna Umiyati; Fina Fakhriyah
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 1 (2026): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v4i1.928

Abstract

Misconceptions are understandings that do not conform to scientifically accepted concepts, but are believed to be true by students. Misconceptions in elementary school students tend to be resistant and difficult to change if not identified early. This study aims to analyze the misconceptions of sixth grade elementary school students on the material of the human movement system. This material is often considered complex because it involves the relationship between bones, joints, muscles, and the health of the movement system. The type of research used is quantitative with a survey design. The research subjects consisted of 19 sixth grade students of SD Negeri Growong Kidul 02 who were selected through a total sampling technique. The research instrument was 10 diagnostic test items in a four-tier format (four levels) which included the level of answer, answer confidence, reasons, and reason confidence. The results showed that students' conceptual understanding was divided into three main categories: Concept Understanding (PK) of 48.42%, Misconception (M) of 50.53%, and Lack of Understanding (KP) of 1.05%. These findings indicate that misconceptions outweigh students' conceptual understanding, particularly regarding the mechanisms of antagonistic and synergistic muscles, the function and types of joints, and the relationship between nutrition and bone health. The use of a four-tier diagnostic test proved effective in accurately distinguishing students with a true understanding from those with misconceptions. This study concludes the need for innovative learning strategies and the use of concrete media to minimize misconceptions so that students have a strong foundation of scientific knowledge for the next level of education.
Integrasi Konteks Jembatan Suramadu dalam E-Modul Matematika Berbasis Deep Learning pada Materi Skala dan Perbandingan Nur Halimatus Sa'diyah; Ani Afifah; Keto Susanto
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 1 (2026): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v4i1.932

Abstract

This research aims to develop a deep learning-based mathematics e-module with the integration of the context of the Suramadu Bridge in scale and comparison materials for grade VII junior high school students. The development model used is the 4D (Define, Design, Develop, Disseminate) model which includes the stage of defining learning needs, designing e-modules, product development, and limited deployment. The research instruments used included validation sheets of media and material experts, observation sheets of teacher and student activities, learning outcome tests, and student response questionnaires. The results of the study showed that the e-modules developed met the valid criteria with a media validity level of 94.29% and material of 95%. In addition, the e-module is considered practical with teacher practicality of 78.67% and students of 86.67%, and effective with a learning effectiveness rate of 83.83%. The students' response to the e-module was also very positive, which showed that the integration of the local context of the Suramadu Bridge and the deep learning approach was able to increase student engagement, learning motivation, and understanding of mathematical concepts in a meaningful way. These findings indicate that local context-based e-modules can be an innovative alternative in mathematics learning that is relevant to students' real lives as well as support the implementation of 21st century learning.
Analisis Perbandingan Metode Trapesium, Simpson 1/3, dan Simpson 3/8 Berbasis Spreadsheet menggunakan Microsoft Excel untuk Aproksimasi Integral Numerik Rahma Qudsi; Alzaber; Muhammad Rasyid Ridho
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 1 (2026): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v4i1.896

Abstract

This study analyzes the comparison of the Trapezoidal, Simpson 1/3, and Simpson 3/8 to approximate numerical integration using Microsoft Excel, with the variation of the interval . The test function is  on the interval . Because it is smooth and lacks an elementary antiderivative, the results indicate that the Simpson Method outperforms the Trapezoidal method in accuracy. The Trapezoidal method yields absolute errors on the order of  to , while Simpson 1/3 and 3/8 achieve  to , with Simpson 1/3 performing best across all . These findings confirm the higher convergence order of Simpson methods ) vs . Excel implementation proves effective as an accessible learning tool for numerical methods, supporting integral computation in higher education. This research contributes to simplifying computational approaches for engineering applications and education, and opens up opportunities for more effective implementation of numerical methods in practical teaching. The results of this research are expected to enrich understanding of numerical applications in engineering and science.
Systematic Literature Review: Identifikasi Kesalahan Siswa Sekolah Menengah Pertama pada Materi Bilangan Bulat Dame Enjelina Sigalingging; Indriyani Fransiska Tinambunan; Marianche Ferbina Tarigan; Natalia Susi Susanti Silitonga; Sola Gracia Manik
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 2 (2026): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v4i2.952

Abstract

This study analyzes junior high school students' errors in solving mathematics problems involving integers. This study was conducted through a systematic literature review of 12 related research articles published between 2021 and 2026. The analysis shows that students' errors in integers include contextual, procedural, and technical (calculation) errors. The most common conceptualization errors were found in the understanding of positive and negative signs and the rules for mixed operations. The main causes of errors are a lack of in-depth conceptual understanding, the habit of memorizing without understanding, and a lack of practice using concrete media. Internal factors such as learning motivation and external factors such as learning methods and media also contribute. This study recommends that the mathematics learning process emphasize meaningful conceptual understanding, the use of concrete media, and learning strategies that engage students' mathematical connection skills. Thus, difficulties in learning integers can be minimized sustainably.
Pemanfataan Penginderaan Jauh untuk Identifikasi Lahan Potensial Guna Relokasi Perumahan Akibat Bencana Alam: (Studi Kasus : Kecamatan Sutera Kabupaten Pesisir Selatan) Putri Dwiya Agustin; Fajrin Fajrin
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 2 (2026): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v4i2.957

Abstract

Sutera Subdistrict is an area affected by floods and landslides, causing significant damage to residential areas. Most houses suffered severe damage and are no longer habitable, making housing relocation a crucial post-disaster response. This study aims to identify settlements located in disaster-prone zones and determine potential land areas for housing relocation in Sutera. The method applied involves scoring and weighting combined with spatial analysis of various physical parameters and disaster vulnerability levels.The results indicate that Sutera Subdistrict has considerable potential land for housing relocation, with the highest potential found in Nagari Amping Parak Timur. However, the physical characteristics of the area and variations in disaster vulnerability require selective and planned land utilization. Disaster vulnerability maps serve as an essential basis for spatial planning and development control, particularly in determining relocation sites. In addition, strengthening mitigation efforts and enhancing community preparedness are necessary to minimize disaster risks and support the development of a safer and more sustainable area.
Pendekatan Kritis terhadap Produksi Bioetanol Berbasis Eceng Gondok Eichhornia crassipes : Studi Literatur sebagai Dasar Pengembangan Pembelajaran Berbasis Proyek di SMA/SMK Rodiatul Adawiyah; Muhammad Suwignyo Prayogo; Vivi Maratus Sholihah; Siti Waaqi’ah Khofidhotur Rofiah
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 3 (2026): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v4i3.973

Abstract

This study aims to critically analyze bioethanol production from water hyacinth (Eichhornia crassipes) based on previous research findings and to develop a project-based learning design for SMA/SMK students. This study employs a qualitative approach using a literature review method by analyzing relevant scientific articles published in the last five years. Data were collected through documentation and analyzed using descriptive qualitative techniques, including data reduction, data display, and conclusion drawing. The findings indicate that bioethanol production efficiency is strongly influenced by pretreatment methods, fermentation conditions, and process control, with yields generally categorized as low to moderate. Previous studies also reveal that project-based learning significantly enhances students’ conceptual understanding and critical thinking skills. Based on the synthesis of these findings, this study proposes a structured project-based learning design that integrates bioethanol production as a contextual learning medium. The implications of this study emphasize the importance of aligning technical feasibility, educational objectives, and sustainability principles in developing science-based learning projects in secondary education.
Hubungan Keterlibatan Orang Tua dengan Prestasi Belajar Matematika Siswa Kelas IV SD Inpres 18 Kabupaten Sorong Glory Gracia Christadella; Mursalim Mursalim; Dwi Pamungkas
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 3 (2026): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v4i3.975

Abstract

This study aimed to determine the relationship between parental involvement and mathematics learning achievement of fourth-grade students at SD Inpres 18 Sorong Regency. The research employed a quantitative approach with a correlational design. The research subjects consisted of all fourth-grade students from classes IV A and IV B, totaling 66 students. Data on parental involvement were collected using a questionnaire, while students’ mathematics achievement data were obtained from documentation of end-of-semester promotion examination scores. Data analysis was conducted using descriptive and inferential statistics. The prerequisite tests included the Kolmogorov–Smirnov normality test with a Monte Carlo approach and a linearity test. Hypothesis testing was carried out using Pearson Product Moment correlation with the assistance of SPSS software. The results showed a positive and significant relationship between parental involvement and students’ mathematics achievement, with a correlation coefficient of r = 0.637 and a significance value of p = 0.000 (p < 0.05). This correlation is categorized as strong. The findings indicate that higher levels of parental involvement in guiding, supervising, and providing emotional support are associated with higher mathematics learning achievement among students. Therefore, parental involvement plays an important role in supporting the mathematics learning success of elementary school students.
Pemetaan Dampak Banjir Bandang terhadap Lahan Pertanian di Nagari Pauh Kamang Mudiak Kabupaten Agam
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 2 (2026): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v4i2.963

Abstract

The objectives of the study are: 1) To analyze the level of vulnerability of agricultural land to flash floods in Nagari Pauh Kamang Mudiak, 2) To analyze the condition of agricultural land in Nagari Pauh Kamang Mudiak before and after the flash flood. The results of this study: 1) Analysis of the level of vulnerability of agricultural land to flash floods in Nagari Pauh Kamang Mudiak, namely in the safe class covering an area of 8.34 hectares, the non-vulnerable class covering an area of 12.01 hectares, the vulnerable class covering an area of 51.91 hectares and the very vulnerable class covering an area of 18.13 hectares. This shows that most of the research areas have a high level of vulnerability to flash floods. Furthermore, the analysis of flash flood risks with 4 risk classifications is an area with a low risk of 16.94 hectares, a moderate area of 30.60 hectares, a high area of 37.78 hectares, and a very high area of 5.07 hectares. Based on the results of this analysis, the agricultural land most affected by the flash flood in Nagari Pauh Kamang Mudiak is rice fields covering an area of 72.2 hectares, 2) Analysis of the condition of agricultural land vegetation in Nagari Pauh Kamang Mudiak before and after the flash flood, namely with 5 classes, namely the very low greenness class covering an area of 12.69 hectares, low covering an area of 29.69 hectares, medium covering an area of 13.22 hectares, and high covering an area of 34.84 hectares. The results of the accuracy test using overall accuracy reached a suitability of 89.58% and the kappa coefficient reached a suitability of 84.32%, meaning good accuracysuitability between the classification results and actual conditions in the field.

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