cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Rusliadi
Contact Email
garuda@apji.org
Phone
+6285727710290
Journal Mail Official
Teguh@apji.org
Editorial Address
Jln. Perum Cluster G11 Nomor 17 Jl. Plamongan Indah, Pedurungan, Semarang, Provinsi Jawa Tengah, 50195
Location
Kota semarang,
Jawa tengah
INDONESIA
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 174 Documents
 4   5   6   7   8 
Analisis Kemampuan Pemecahan Masalah Matematis Materi Pengukuran Pada Siswa Kelas III Di SD Negeri Langgenharjo 01 Maulidia Rahmah; Ikna Pradita Oktaviani; Diana Ermawati
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 5 (2024): 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.v2i5.183

Abstract

This research aims to analyse students' mathematical problem solving ability on length and weight measurement material in class III at SD Negeri Langgenharjo 01. This type of research is a qualitative descriptive research. The data source of this research comes from the answers to the mathematical problem solving ability description test and interviews. This study used 3 subjects from 30 grade III students who were taken using purposive techniques according to the category of mathematical problem solving ability, consisting of high, medium, and low categories. Data collection techniques used observation, interviews, and documentation. The data analysis technique used in this study used the Miles and Huberman model, namely, data collection, data reduction, data presentation, and conclusion drawing. Based on the results of research on mathematical solving ability according to Polya's level, namely, (1) Students in the high category are able to fulfil all four indicators of problem solving according to Polya's stages. (2) Students in the medium category can solve problems well, but are often less careful and often hasty. They can only fulfil 2 of the 4 problem solving indicators. (3) Students in the low category have not been able to solve the problem well. They were unable to fulfil all indicators of problem solving ability according to Polya's stages. The conclusion of this study is that students have various potentials in mathematical problem solving ranging from high, medium, and low categories.
Penelitian Pengembangan Media Pembelajaran Interaktif Diorama Metamorfosis Terhadap Hasil Belajar IPAS Khalimatus Sya’diah; Mukhammad Hendry Ansyah; Naila Adinda Habibah; Nafisa Putri Aji; Siti Masfuah
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 5 (2024): 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.v2i5.185

Abstract

The aim of this research is to find out the results of the development of interactive media diorama metamorfosis against the learning results of IPAS. This research uses quantitative methods with the research method is quantitatively descriptive. The data gathering techniques used in this study include observations, interviews, and lifting. Subjects in this study are 2 teachers and 5 students of SD 2 Jurang. The analysis technique is quantitative descriptive analysis with the help of Ms. Excle data processing software. The research data obtained was carried out V Aiken test. Based on the above data, it can be known that the results of the validation test of teaching materials and media Diorama Metamorfosis carried out by the teacher as a validator obtained an average score of ≤ 0,82, which means that the data received can be said to be very valid, effective, and worthy to be a support for learning. Meanwhile, the results of the validation test conducted by 5 students obtained the same score that is about ≤ 0.88 so that it can be concluded that the results show very valid and effective data, so that can be used in the student learning process.
Eksplorasi Kesulitan Siswa dalam Menyelesaikan Soal Higher Order Thingking Skills (HOTS) dengan Menggunakan Metode Polya pada Materi Perbandingan Trigonometri Saiful Saiful; Diyah Ayu Rizki Pradita; Faridatun Guvroniah
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 4 (2024): 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.v2i4.186

Abstract

This study aims to determine the difficulties of students in solving Higher Order Thingking Skills (HOTS) problems by using the Polya method in Trigonometric comparison materials. This research is a descriptive qualitative research. The subjects of the study were 36 students in class X.1 of SMA Negeri 2 Situbondo. Data collection techniques use test questions, interviews and documentation. The test in the form of Higher Order Thingking Skills (HOTS) questions is carried out to measure students' abilities. Interviews were conducted on 6 students based on the category of ability level of test results. Data analysis was carried out using data induction and reduction theory. The test results showed that those who scored in the high-level category were 10 students (28%), the moderate-level category was 14 students (39%) and the low-level category was 12 students (33%). The conclusion of this study states that the difficulty of students in solving Higher Order Thinking Skills (HOTS) questions using the polya method, namely subjects with high-level categories, experience difficulties at the re-examination stage. Subjects with a moderate level category, experienced difficulties at the stage of implementing the plan and re-examining. Subjects with low-level categories experienced difficulties at all stages of polya, namely at the stage of understanding the problem, making a plan, implementing the plan and re-examining.
Identifikasi Pemahaman Konsep Siswa pada Materi Hidrolisis Garam di Kelas XI SMA Negeri 3 Gorontalo Menggunakan Test Diagnostik Three Tier Multiple Choice Mardjan Paputungan; Mangara Sihaloho; Erga Kurniawati; Karmila B. Enu
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 5 (2024): 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.v2i5.189

Abstract

This research aims to determine student’s conceptual understanding of salt hydrolysis in 11th grade at SMA Negeri 3 Gorontalo using a three-tier multiple-choice diagnostic test. This research employs qualitative descriptive research, with the subjects being 156 students from the 11th grade chemistry class at SMA Negeri 3 Gorontalo. Data was collected using a three-tier multiple-choice diagnostic test consisting of 20 question. The results indicate that, on average, students only understand 18,12% of the salt hydrolysis concept, 43,54% of students experience misconceptions and 38,34% do not understanding the concept. From the identifikation results, the highest level of conceptual understanding was found in indicator 1, which determines the acidic and basic properties of salt-forming compounds, with a percentage 21,66%. The highest level of miskonceptions was found in indicator 2, which analyzes the properties of hydrolyzed salts, with an average of 54,03% and the highest level of lack of understanding was found in indicator 4, which calculates the pH of a hydrolyzed salt solutions, with an average of 47,4%. Overall, it can be stated that 81,88% of students do not correcly understand the material on salt hydrolysis. The indicates that students’ conceptual understanding of salt hydrolysis is very low.
Pengaruh Bioaktivator MOL (Mikroorganisme Lokal) Jerami Nangka (Artocapus integra merr) terhadap Lama Pengomposan Vransisko Busa, Mario; Maria Yasinta Moi; Yulimira Syafriati Yuminar Mutiara Sani
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 5 (2024): 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.v2i5.190

Abstract

The purpose of the study was to determine the effect of the bioactivator MOL Jermai Jackfruit (Artocapus integra merr) on the length of time for composting. Jackfruit straw is one of the wastes that has not been used properly and is thrown away so that it can cause environmental pollution. So to avoid this problem, the Jackfruit Straw is fermented into MOL as a compost material from organic vegetable waste, fruits are thrown away and produce a bad smell. MOL Jackfruit Straw was fermented for 7 days with a brown color and smell of alcohol. The research method used experimentally by using 3 variables, namely the independent variable (long composting time), the dependent variable (MOL Straw Jackfruit) and the supporting variables EM4 and control. The results of the research composting using MOL Straw Jackfruit, EM4 and control temperature of the compost 300C, pH 7, 70% content, blackish color, smooth texture and smell like soil. The final composting process in all treatment parameters has met the SNI for compost except the water content, namely the temperature according to ground water (300C), pH 6.80-7.49, maximum water content of 50% blackish color, texture and smell like soil. The length of time for composting using MOL Straw Jackfruit dose of 10 ml 24 days, EM4 10 ml 29 days and control 42 days. Data analysis using the Kruskal-Wallis test obtained a significance value of 0.000 < 0.05, so H1 is accepted or there is an effect of the Jackfruit Straw MOL bioactivator on the length of time for composting.
Penerapan Algoritma Tabu Search pada Capacitated Vehicle Routing Problem Pengangkutan Sampah di Kota Padang Sidempuan Rully Rumaida; Fibri Rakhmawati; Dedy Juliandri
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 5 (2024): 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.v2i5.201

Abstract

Waste transportation activities are an example of a form of Capacitated Vehicle Routing Problem (CVRP) related to finding the minimum route. The Tabu Search algorithm is one of the metaheuristic methods that can guide the heuristic local search procedure to explore the solution area outside the local optimal point. The Tabu Search algorithm can be used to find the optimal VRP solution, namely the route that has the minimum total mileage by considering vehicle capacity. The purpose of this research is to determine the optimal route for garbage transportation in the Capacitated Vehicle Routing Problem (CVRP) model in Padang Sidempuan City using the Tabu Search algorithm. Based on the results of the study, it is concluded that the optimal route for transporting waste in the Capacitated Vehicle Routing Problem (CVRP) model in Padang Sidempuan City using the Tabu Search algorithm obtained the shortest route in iteration 1 with the route (12-11-10-9-8-7-6-5-4-3-2-1-0) and route length 16.55 km.
Efektivitas Pembelajaran Matematika Berbasis Etnomatematika Untuk Penguatan Nilai Budaya Adelia Putri Lubis; Carlia Dermasari Sirait; Elvi Mailani; Luciana Chris May Purba; Maya Alemina Ketaren; Sofia Maharaja
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 5 (2024): 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.v2i5.242

Abstract

Education plays an important role in shaping students' character and competence. One of the challenges faced by the world of education is how to build students' understanding of subject matter that is relevant to the context of their daily lives. In this case, ethnomathematics is a very potential approach to be applied in mathematics learning. The purpose of this study is to examine the effectiveness of ethnomatics-based mathematics learning to strengthen cultural values. This study uses a Qualitative research method with a case study approach. This approach allows researchers to explore the experiences, perceptions, and impacts of ethnomathematics learning on students and teachers. The research subjects consisted of: students, teachers and parents. The results of this study indicate that ethnomathematics can improve students' mathematics learning achievement, especially in terms of identifying, translating, understanding the meaning of symbols, understanding and applying mathematical ideas, and making an exploration (estimate) related to mathematical concepts that is better than conventional learning.
Pengaruh Kualitas Air terhadap Keanekaragaman Plankton di Bozem: Analisis Parameter Fisik, Kimia, dan Biologi Ekosistem Perairan Prana Nala Shekina; Nia Intan Ramadhani; Nayla Devi Putri; Septia Ajeng Kurniati; Cindy Evana Agustin
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): 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.v2i6.256

Abstract

Water quality plays an important role in maintaining the balance of aquatic ecosystems, including the abundance and diversity of plankton. This study aims to analyze the effect of various water quality parameters such as temperature, dissolved oxygen (DO), carbon dioxide (CO2) levels, Biochemical Oxygen Demand (BOD), pH, brightness, and turbidity on plankton diversity in Bozem. Data were obtained from eight observation stations with water quality parameter measurements and plankton sampling. The results showed that the water quality in Bozem was not optimal, with low DO values ​​(1.79 mg/L), high water temperatures (average 31.05°C), and low brightness (0.30 m), which contributed to the decline in plankton abundance. A total of 39 plankton genera were identified, with Synedra as the most dominant genus. Poor water quality inhibits plankton growth, which can impact the balance of the food chain in these waters. This study shows the importance of better water quality management to maintain the sustainability of aquatic ecosystems in Bozem. This study also contributes to the understanding of the multifactorial interactions between water quality parameters and plankton.
Penerapan Metode Runge-Kutta Orde 3 Untuk Penyelesaian Persamaan Diferensial Biasa : Studi Kasus di Matlab Asri cahyati sitorus pane; Novaria Br. Saragih; Jadata Dompak Ambarita
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): 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.v2i6.263

Abstract

This research studies the application of the nth order Runge-kutta method as a numerical solution to ordinary differential equations. This method was chosen because it is able to provide high accuracy and flexibility in various PDB problems. We implement the nth-order Runge-Kutta algorithm in MATLAB and compare with other numerical methods, such as Euler's method. The results show that the nth order Runge-Kutta method is able to produce more accurate solutions, especially for nonlinear systems. This research makes a significant contribution to the development of numerical solutions for PDB and shows the potential of MATLAB as an effective tool for numerical simulation. Sensitivity analyzes of parameters and time steps were also performed to understand the impact of variations on stability and convergence.
Analisis Metode Clustering K-Means pada Zonasi Daerah Terdampak Banjir di Kota Medan dengan Evaluasi Silhouette Coefficient Febby Arisca Zurfani; Sawaluddin; Mardiningsih; Muhammad Romi Syahputra
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): 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.v2i6.270

Abstract

Clustering is one of the fields of study that discusses data. Clustering is used to find and group data based on its traits or characteristics. Clustering can also be used for class-identified data. However, the clustering method automatically clusters the data before the class identifier is known. Based on the data obtained, the city of Medan, which has a population of approximately 2,460,858 people and an area of 26,510 hectares or 3.6% of the total area of North Sumatra Province, is classified as Flood-prone (BPS). Floods that occur almost 10 to 12 times a year in Medan City are influenced by the condition of the downstream Deli and Belawan rivers. Based on the results of the k-means clustering that has been carried out, the areas that are safe from flooding are the districts of Meddan Amplas, Medan Denai, Medan Area, Medan Kota, Medan Petisah, Medan Perjuangan, Medan Tembung, Medan Deli, and Medan Labuhan. Areas prone to flooding are Medan Tuntungan, Medan Sunggal, Medan Helvetia, West Medan, and Medan Marelan. Meanwhile, the areas most prone to flooding are Medan Johor, Medan Maimun, Medan Polonia, Medan Baru, Medan Selayang, Medan Timur, and Medan Belawan based on the evaluation of the accuracy of the silhouette method of 0.9 and can be declared significant.

Page 6 of 18 | Total Record : 174

 4   5   6   7   8 

Filter by Year

2024 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 6 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 5 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 4 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 3 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 2 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 1 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 5 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 4 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 3 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa