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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 200 Documents
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Analisis Kontroversi Efektivitas Metode Tradisional dalam Pembelajaran IPA SD/MI di Tengah Trend Digitalisasi Pendidikan Nuril Hidayah; Muhammad Suwignyo Prayogo; Hanifatul Nur Aisyah; Khilyatur Rohmah
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.v4i3.971

Abstract

This study aims to examine the debate regarding the effectiveness of traditional learning methods in science education at Madrasah Ibtidaiyah (MI) amid the development of educational digitalization. The study employed a qualitative approach with a case study design conducted in Jember Regency for three months, from February to April 2026. The research informants consisted of 16 participants, including madrasa principals, teachers, parents, and community members. Data collection techniques were carried out through interviews, observations, and documentation, which were then analyzed using descriptive qualitative techniques. The findings revealed that traditional methods are still considered effective in helping students understand basic science concepts because the learning process is systematic and easy to comprehend. However, limited access to technology in several schools remains an obstacle to the equal implementation of digital learning. In addition, although digital learning can increase students’ motivation and engagement, it does not necessarily lead to an optimal improvement in conceptual understanding. Therefore, this study concludes that a combination of traditional and digital learning methods is the most appropriate approach in science learning at elementary schools and Madrasah Ibtidaiyah, considering students’ needs as well as the availability of facilities and infrastructure. structure.
Strategies for Enhancing Mathematical Creative Thinking in Elementary Schools: A Systematic Literature Review Semi Semi; Zulherman Zulherman
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 4 (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.v4i4.1001

Abstract

Mathematical creative thinking is an essential competency that should be developed in elementary school students to support higher-order thinking skills, problem-solving abilities, and readiness to face the challenges of the twenty-first century. Although various instructional strategies have been implemented to enhance this competency, the existing research findings remain fragmented, highlighting the need for a systematic synthesis. This study aims to identify and analyze effective instructional strategies for improving elementary school students' mathematical creative thinking skills through a Systematic Literature Review (SLR). The literature search was conducted using Publish or Perish with Google Scholar as the primary database. A total of 500 articles were initially identified and screened based on the PRISMA 2020 guidelines and predetermined inclusion criteria. The screening process resulted in nine eligible articles for further analysis. The findings indicate that instructional strategies such as Realistic Mathematics Education (RME), Problem-Based Learning (PBL), Brain-Based Learning, the Open-Ended approach, and other innovative learning methods consistently contribute to improving students' mathematical creative thinking skills. Overall, student-centered, contextual, and problem-based learning approaches were found to be the most effective characteristics of instructional strategies for fostering mathematical creativity in elementary school students.
Pembelajaran Berbasis STEM untuk Meningkatkan Literasi Numerasi Siswa Sekolah Dasar: A Systematic Literature Review Amanda Mei Puspita; Filda Indriya Laili; Sumaji Sumaji
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 4 (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.v4i4.1008

Abstract

Numeracy literacy is a fundamental ability required by elementary school students to solve everyday problems, yet field outcomes often indicate a need for improvement. One innovative instructional method that offers a potential solution is Science, Technology, Engineering, and Mathematics (STEM) based learning. This study aims to comprehensively analyze the literature regarding the effectiveness of implementing the STEM approach in enhancing numeracy literacy among elementary school students. This study employed a Systematic Literature Review (SLR) method guided by the PRISMA protocol. The article search was conducted across three main academic databases: Google Scholar, Garuda, and DOAJ. The inclusion criteria comprised peer-reviewed journal articles published in the last decade (2016-2026), focusing on students in grades 1 to 6, and specifically measuring numeracy literacy aspects. The synthesis of the 18 selected studies demonstrates that STEM-based learning is highly effective in significantly improving students' numeracy literacy. This method facilitates students in understanding mathematical concepts more thoroughly through interdisciplinary integration, real-world application, and project-based activities. The findings indicate the necessity for educators and policymakers to design specific instructional materials and conduct teacher training to seamlessly integrate the STEM framework into classroom teaching, thereby creating an optimal learning environment for 21st-century skills.
Penalaran Abduktif Siswa SMP dalam Menyelesaikan Masalah Matematika Ditinjau dari Gaya Kognitif Field Dependent dan Field Independent Meliani Dwi Pertiwi; Ali Shodikin
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 4 (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.v4i4.1009

Abstract

Abductive reasoning is the process of formulating conjectures to explain surprising observations. Although these conjectures are not necessarily true, this type of reasoning is highly helpful in problem-solving for determining the best solution strategy. This study aims to investigate the differences in abductive reasoning across different cognitive styles. This research method uses a qualitative descriptive approach. The participants in this study were 32 students. Two of them were then selected for in-depth interviews representing types of abductive reasoning. Data collection and analysis were carried out on students' work results and semi-structured interviews. Polya's problem-solving theory was used to analyze students' thinking processes using abductive reasoning. The analysis was conducted on all problem-solving steps, namely understanding the problem, devising a plan, carrying out the plan, and looking back. Students with a field independent cognitive style were able to recognize and understand the problem quickly and directly determine the appropriate formula. In contrast, students with a field dependent cognitive style tended to understand the problem globally, requiring more time to complete the questions.
Perspektif dalam Pendidikan Matematika dan Implikasinya terhadap Proses Pembelajaran Tasya Maria Agustin Marpaung; Syalsabilah Alamsyah; Adrianus R. Piran; Nasywa Mahesa
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 4 (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.v4i4.1011

Abstract

As a core academic discipline, mathematics contributes substantially to shaping learners' rational, critical, and orderly thinking. Even so, classroom practice still reveals a range of obstacles that leave students struggling to grasp concepts and work through mathematical problems. This paper sets out to review what mathematics learning is meant to achieve, the difficulties students commonly face, and how teachers can help address them. A literature-review approach was taken, drawing on a range of relevant scholarly sources. The review suggests that how well students learn mathematics hinges on their active involvement, how deeply they grasp the underlying concepts, and the instructional strategies teachers put to use. Such difficulties tend to stem from both internal and external factors that intertwine with one another. Teachers are therefore called upon to take on their roles fully  as facilitators, mentors, motivators, and innovators so that learning becomes more meaningful. Adopting suitable instructional approaches is expected to lift both the learning process itself and students' mathematics achievement.
Penerapan Garis Bilangan Riil dalam Memahami Konsep Dasar Nilai Mutlak Prihaten Maskhuliah; Salwa Rifdah Rizqullah; Sarmila Sarmila
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 4 (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.v4i4.1040

Abstract

Absolute value is a fundamental mathematical concept that supports advanced topics, including algebra, calculus, and numerical analysis. Although often regarded as simple, absolute value involves considerable conceptual complexity. Many students develop misconceptions because conventional instruction tends to emphasize procedures rather than meaning. As a result, students often understand absolute value only as a rule for positive numbers or as a way to remove a minus sign. This limited understanding causes difficulty, confusion, and errors when students encounter formal definitions, absolute value equations, inequalities, and complex mathematical models. Therefore, this qualitative literature study aims to describe the use of the real number line as a concrete visual representation that can bridge the abstract nature of absolute value. The study was conducted through an in-depth review of literature, articles, textbooks, and previous research findings. The results indicate that a visual approach using the real number line is effective in developing students’ intuition. Through this representation, absolute value can be interpreted as distance. In a single-point context, the symbol represents the number of steps from the position of x to the reference point zero. In a two-point context, subtraction can be represented as the distance between two points, such as the distance from point A to point B. This distance-based approach also helps students understand the commutative property of absolute value logically and reduces calculation errors caused by reliance on formal formulas. Overall, the real number line can reduce procedural misconceptions and promote a complete, meaningful, and durable conceptual understanding of absolute value.
Logika Matematika sebagai Fondasi Hidup yang Lebih Teratur Aulia Zaskia Ramadhani; Prihaten Maskhuliah; Alfredo Aditya Nugroho; Muklis Rivandi
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 4 (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.v4i4.1045

Abstract

Developing self-regulation and a structured lifestyle poses a significant challenge for individual personality formation in today's complex information age. Mathematical logic is often viewed merely as a tool for cognitive computation, overlooking its epistemological potential to shape character and daily behavior. This study aims to analyze in depth the conceptual link between internalizing the principles of mathematical logic and the level of orderliness in an individual's personal life. A qualitative approach utilizing a library research design was employed. Data were gathered through a review of reputable scholarly literature and analyzed using content analysis and critical-comparative techniques. The findings indicate that mathematical logic serves as a formal reasoning structure that cultivates disciplined scientific thinking, sharpens decision-making objectivity, and minimizes logical fallacies. Internalizing formal rules of inference fosters mental habits such as mathematical disposition, logical-mathematical intelligence, and self-regulation capabilities. Consequently, individuals accustomed to logical reasoning tend to lead more organized lives, structure their priorities effectively, and methodically deconstruct complex daily issues without acting impulsively. The study recommends reorienting the teaching of mathematical logic to position it as a form of mental training that equips learners with self-management skills and fosters personal orderliness in real-life contexts.
Optimalisasi Sistem Antrean Pelayanan PKB Lima Tahunan Menggunakan Queueing Theory di UPTB-UPPD Sumbawa Besar Fadilla Amira Yuliana; Lukmanul Hakim
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 4 (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.v4i4.1047

Abstract

 The quality of public services is strongly influenced by the effectiveness of queue management, particularly in motor vehicle tax administration services where customers must complete several sequential service stages. Long waiting times may reduce service efficiency and public satisfaction. This study aimed to analyze the queueing system of the five-year Motor Vehicle Tax (PKB) service at UPTB-UPPD Sumbawa Besar, identify the appropriate queueing model, evaluate the performance of each service phase, and propose improvement alternatives through simulation. This research employed a quantitative descriptive approach using Queueing Theory with a Multichannel–Multiphase (M/M/c) model. Primary data were collected through direct observation over five working days, including customer arrival rates, service rates, and the number of service counters. The data were analyzed using POM-QM for Windows to determine queue performance indicators, including server utilization, average queue length, average waiting time, and average time spent in the system. The results indicate that the service system is appropriately represented by the Multichannel–Multiphase (M/M/c) model. Among the five service phases, Phase 5 exhibited the highest server utilization (ρ = 0.760), an average queue length of 3.138 customers, an average waiting time of 32.758 minutes, and an average system time of 41.09 minutes, indicating that this phase is the primary bottleneck in the service process. Simulation results demonstrated that increasing service capacity at Phase 5 significantly reduced queue length and waiting time while improving overall system performance. These findings provide practical recommendations for optimizing queue management and enhancing the quality and efficiency of public services.
Pengembangan Model Pembelajaran Relativitas Khusus Berbasis Integrasi Sains dan Islam untuk Meningkatkan Literasi Sains, Berpikir Kritis, dan Kesadaran Filosofis Peserta Didik Ramadani Khotibul Umam
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 4 (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.v4i4.1048

Abstract

Special Relativity learning at the high school and college levels often faces obstacles due to the abstract, counterintuitive, and demanding nature of the concept of Newtonian concepts of space and time. Studies have shown that students, including non-science students, still retain misconceptions about simultaneity, time dilation, and mass-energy equality despite having received formal instruction. On the other hand, Indonesia's science literacy achievement in the Programme for International Student Assessment (PISA) 2022 has increased compared to 2018, but in absolute terms it still needs to be improved, especially in the aspects of critical thinking and philosophical awareness. This conceptual article aims to develop a Special Relativity learning model that integrates the approach of scientific inquiry with Islamic values as a reflective-philosophical framework, not as a means of proving physical theory. Through a review of narrative and critical literature and theoretical synthesis, this article combines the theories of constructivism, discovery learning, meaningful learning, experiential learning, inquiry-based learning, conceptual change, and STEM education with the idea of integrating knowledge from contemporary Muslim thinkers. The results of the synthesis produce a seven-stage conceptual model that moves from the orientation of physical phenomena to conceptual and reflective evaluation, with the stage of philosophical-Islamic reflection as a space for meaningful dialogue. This model is projected to strengthen science literacy based on the OECD PISA framework, critical thinking skills based on the Facione framework, as well as students' philosophical awareness of the limitations of science, scientific ethics, and human-nature-God relationship.
Optimasi Green Vehicle Routing Problem with Time Windows (G-VRTW) dengan Menggunakan Algoritma Genetika: Studi Kasus Depo Alfamart Gorontalo Sartika Husain; Djihad Wungguli; Ismail Djakaria; Moh. Rifai Katili; Asriadi Asriadi
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 5 (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.v4i5.1061

Abstract

The development of the modern retail industry has increased goods distribution activities, creating a need for efficient and environmentally friendly distribution systems. This study aims to optimize distribution routes at the Gorontalo Alfamart Distribution Depot using the Green Vehicle Routing Problem with Time Windows (G-VRPTW) model by considering vehicle capacity, service time windows, load-dependent fuel consumption, and vehicle carbon emissions. The model is solved using a Genetic Algorithm as a metaheuristic method. The solution is represented using permutation encoding, with optimization stages consisting of initial population generation, selection, crossover, mutation, and fitness evaluation. The research data were obtained from the distribution system of the Gorontalo Alfamart Distribution Depot. The optimization results show that the Genetic Algorithm produces more efficient routes than the company's actual routes. The total travel distance was reduced from 1,075.24 km to 774.69 km, representing a reduction of 27.95%, while fuel consumption decreased from 65.124 L to 45.4573 L, representing a reduction of 30.20%. Accordingly, estimated carbon emissions decreased from 165.413 kg CO₂ to 115.4619 kg CO₂, representing a reduction of 30.20%. These results indicate that the developed G-VRPTW model based on the Genetic Algorithm can support the implementation of green logistics by improving distribution efficiency and reducing environmental impacts.

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