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INDONESIA
Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa
ISSN : 30326230     EISSN : 30465427     DOI : 10.62383
Core Subject : Science, Education,
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
Articles 174 Documents
Metode Autoregressive Integrated Moving Average (Arima) dalam Memprediksi Produksi Tembakau Sumatera Utara Meysin Andira
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 2 (2025): 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.v3i2.435

Abstract

Tobacco is one of the economic crops that has an important role in the global and national economy. In the production and selling price of tobacco is not only influenced by internal factors, such as cultivation methods and agricultural techniques and also external factors, In an effort to overcome this challenge One promising approach is the use of statistical methods and machine learning to combine data on these diverse factors. Autoregressive Integrated Moving Average (Arima) method. In 2010-2021, North Sumatra Province had 12 regencies that had the potential for tobacco production consisting of 12 years with 5 regencies in North Sumatra that had the potential to produce tobacco. Based on the forecast results, there was a significant increase in the amount of higher tobacco production in even years or it can be said to be an increase in the following 2 years. This can be a reference for producers to increase productivity in odd years to meet stable market needs.
Analisis Keterampilan Berpikir Kritis Siswa SD Kreatif Rusyda Kelas VI dalam Menjawab Soal Energi dan Perubahannya Dira Supratiwi; Suyit Ratno; Dwi Rahmi A Tanjung; Aurora Febriani Br Barus; Haya Sabila Aulia; Nesa Andari; Sekar Melati Pasaribu; Inpresdo Wessly Sinaga
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 2 (2025): 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.v3i2.437

Abstract

Energy is the ability to do or change something. It can be found in various forms in everyday life, such as electrical energy flowing through cables, thermal energy produced by stoves, or kinetic energy generated by vehicles. Energy can also come from natural sources, such as the sun, wind, and water. This research aims to enhance students' ability to think critically in understanding the material on energy and its changes. This research uses a quantitative method; data were collected from 27 students through 10 questions discussing the concept of energy. Effective education not only helps students better understand what they are doing, but also prepares them to face environmental issues in the future. In addition, innovative learning methods such as project-based learning should be incorporated into the curriculum to build critical thinking skills. Therefore, it is expected that this research will help improve the energy education curriculum in elementary schools and encourage students to participate more actively in sustainability issues.
Analisis Pemahaman Konsep Besaran Mistar Satuan Melalui Bahan Ajar Multimedia Interaktif Siswa Kelas IV SDN 101869 Desa Sena Pangadilan Daulay; Gustyven Tambunan; Rafiqi Hafidz Al Abrori; Gaberia Sitompul; Kenza Amanda Sihotang; Tesalonika Sinaga; Suyit Ratno
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 2 (2025): 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.v3i2.438

Abstract

This research aims to analyze and develop students' science process skills, particularly in the use of measuring instruments, and their influence on understanding the concepts of quantities and units in physics. This research is motivated by the importance of mastering skills in using measuring instruments in physics learning, as well as the need for innovative teaching materials to improve students' understanding of fundamental concepts. This study employs a mixed-methods approach, combining both quantitative and qualitative methods. The quantitative approach is used to analyze data on students' skills in using measuring instruments and their understanding of concepts through tests. Meanwhile, the qualitative approach is employed to analyze data from observations and interviews with students and teachers regarding the effectiveness of using guided inquiry-based interactive multimedia teaching materials. The interactive multimedia teaching materials developed in this research are designed to facilitate learning about measuring instruments and measurement using a guided inquiry approach. A behavioristic approach is also considered in the development of these teaching materials to ensure students receive appropriate reinforcement throughout the learning process. Through this research, it is hoped that effective ways to develop students' science process skills and enhance their understanding of measuring instruments and measurement concepts in physics will be discovered, ultimately improving physics learning outcomes as a whole.
Analisis Perbandingan Tingkat Depresi pada Mahasiswa Angkatan 2022 dan 2024 Jurusan Biologi Universitas Negeri Medan Findi Septiani; Endang Lyfia Saragih; Grace Amelia Purba; Petra Putri Sarinah Pandiangan; Rizka Nabila Damanik
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 2 (2025): 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.v3i2.444

Abstract

Mental health disorders, particularly depression, are becoming an increasing concern among university students. This study aims to analyze the comparative levels of depression among students from the 2022 and 2024 cohorts in the Biology Department at Universitas Negeri Medan. The research employs a mixed-method approach, integrating both quantitative and qualitative methodologies. Data were collected through questionnaires distributed to 51 active students. The results indicate that students from the 2022 cohort exhibit higher levels of depression compared to those from the 2024 cohort, due to academic pressure, social factors, and lifestyle habits. These findings highlight the importance of preventive strategies and interventions to mitigate depression risks, such as stress management, promoting healthy lifestyle habits, and strengthening social support in academic environments. Therefore, educational institutions must prioritize student mental health to foster a more conducive learning environment.
Efektivitas Peran Chatgpt Sebagai Alat Bantu Penyelesaian Tugas Akademik Mahasiswa Eka Finanti Simamora; Imel Simanungkalit; Prihatin Ningsih Sagala; Nurcahaya Br Zandroto; Putri Br Tarigan; Rival Ananda Gisty
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 2 (2025): 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.v3i2.445

Abstract

This study aims to analyze the effectiveness of ChatGPT as a tool to help students complete academic assignments. Using a quantitative descriptive method, this study involved 150 6th semester students of the Mathematics Education Study Program selected through a simple random sampling technique. Data were collected through an online questionnaire that measured the intensity of ChatGPT use, ease of understanding the material, and its impact on learning outcomes. The results showed that the majority of students felt helped by the use of ChatGPT, especially in compiling essay assignments, understanding complex academic concepts, and increasing self-confidence in solving math problems. However, it was found that excessive use has the potential to reduce learning motivation if students rely too much on instant answers. Therefore, wise use of ChatGPT and integration with conventional learning methods is highly recommended so that students continue to develop critical thinking skills and independence in learning.
Analysis of Facilities and Infrastructure Management in Improving Education Quality at SMP Negeri 35 Medan Koriatul Jannah Siregar; Al-Murizka Annisa; Ida Cathy Everyanti Siregar; Ghania Dhia Ulhaq Lubis; Esti Miska Puandra; Widia Ningsih
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 2 (2025): 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.v3i2.450

Abstract

This study analyzes the management of facilities and infrastructure at SMP Negeri 35 Medan in an effort to improve education quality. The research employs a qualitative descriptive approach, with data collected through observations and interviews conducted at the school. Observations focus on assessing the condition of classrooms, laboratories, libraries, and supporting infrastructure, while interviews with key informants, including a science teacher and the vice principal for facilities, provide deeper insights into the management and challenges of school infrastructure. The findings indicate that although the school meets the minimum facility standards as stipulated in Government Regulation No. 19 of 2005, several challenges remain, including budget constraints, lack of facility maintenance by students, and limited human resources. To optimize facility usage, the school needs to implement strategies such as regular maintenance, budget optimization through external collaborations, enhancement of the digital inventory system, and strengthening Standard Operating Procedures (SOPs). Additionally, integrating technology in learning and increasing student awareness of facility maintenance are crucial solutions. By implementing these recommendations, facility and infrastructure management is expected to become more effective, creating a more comfortable and supportive learning environment for both students and educators.
Pengaruh Model Pembelajaran PBL terhadap Kemampuan Berpikir Tingkat Tinggi Siswa pada Materi Pembelajaran Biologi di SMA Negeri 1 Tondano Gabriel Stevan Legi; Mariana Rengkuan; Zusye Warouw
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 2 (2025): 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.v3i2.452

Abstract

This study examines the effect of applying the Problem-Based Learning (PBL) learning model on students' high-level thinking skills on ecosystem materials at SMA Negeri 1 Tondano. This study uses an experimental method with a quasi-experimental design involving two groups of students: the experimental class (X.2) taught using the PBL model, and the control class (X.4) taught using conventional learning methods. The number of students in each class is 30 people. Data is collected through pretest and posttest to measure students' high-level thinking abilities. The analysis showed that the experimental class's average posttest score was 83.67, while the control class was 79.50. The independent t-test showed that the t-count value (2.073) was greater than the t-table (1.671) with a significance value of 0.043, which was smaller than 0.05, indicating a significant difference between the two groups. Based on these results, it can be concluded that applying the PBL model has a positive and significant effect on improving students' high-level thinking skills. These findings are consistent with previous research showing that the PBL model effectively improves students' critical and analytical thinking skills. Therefore, applying PBL can be an effective alternative to improve the quality of learning, especially in developing students' high-level thinking skills.
Penerapan Model Pembelajaran Problem-Based Learning untuk Meningkatkan Hasil Belajar Siswa Kelas VIII SMP Negeri 4 Satap Wori Vikaldi Edwin Takaliwungan; Dientje F. Pendong; Femmy Kawuwung
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 2 (2025): 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

Abstract

This study aims to analyze the application of the Problem-Based Learning (PBL) learning model in improving students' cognitive learning outcomes in science learning, especially in the material on the structure and function of plant tissues. The research was conducted at SMP Negeri 4 Satap Wori, with the research subjects in the form of 21 grade VIII students who had heterogeneous learning abilities. This study uses a class action research (PTK) approach in two cycles. In the first cycle, student learning outcomes showed that only 38.1% of students had completed, while 61.9% had not reached the Minimum Completeness Criteria (KKM). Based on the reflection of the first cycle, improvements were made in the second cycle by increasing student involvement, providing more motivation, and forming heterogeneous learning groups. The results in the second cycle showed a significant increase, with 85.7% of students achieving learning completeness in accordance with the KKM. The increase in learning completeness from the first cycle to the second cycle was 47.6%. This study concludes that the PBL model effectively improves students' critical thinking skills, creativity, and motivation and can help students solve problems independently and in groups. Therefore, applying the PBL model is recommended to continue to be used in learning that involves real-world problem-solving.
Menghitung Peluang dalam Susunan Kata Sandi : Kombinatorika dalam Keamanan Digital Arnah Ritonga; Dina Harianja; Maisarah Putri Lalyta Siregar; Stepanus Simatupang; Vany Aisah Panggabean
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 3 (2025): 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.v3i3.468

Abstract

Today is a sophisticated era where everything is digital, be it smartphones, laptops, even safes. So digital password security is essential in protecting personal data. This study analyzes password strength using combinatorics and probability. Calculations are made to determine the number of possible password combinations based on the length and type of characters. In addition, the probability of success of a brute-force attack is calculated based on the number of guesses that can be made by the attacker. The results show that the longer and more complex the password, the less likely it is to be guessed. This study also discusses the concept of information entropy to measure the level of randomness of passwords and its impact on digital security. This study provides insight into the importance of choosing strong passwords.
Hubungan Antara Peluang dan Keputusan Manusia Arnah Ritongah; Riby Tamara
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 3 (2025): 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.v3i3.472

Abstract

Human decision-making often occurs under conditions of uncertainty, where understanding probabilities is essential for making informed choices. This study investigates how people perceive and apply probabilistic information in various decision-making contexts. A combination of quantitative and qualitative methods was used to analyze the decision patterns of 200 individuals from diverse backgrounds through scenarios involving uncertainty. The results show that most participants prefer relying on intuition or personal experience rather than using statistical reasoning. Several cognitive biases, such as ignoring probability, overestimating confidence, and relying on readily available information, were commonly observed. However, participants with a stronger grasp of probability concepts demonstrated more logical and beneficial decision-making, particularly in financial and organizational settings. The study highlights a clear link between probability literacy and decision quality. Improving public understanding of probabilistic thinking could enhance decision outcomes, especially in situations involving risk. Educational efforts to integrate probability awareness into learning environments are recommended to support better decision-making both individually and collectively.

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