Claim Missing Document
Check
Articles

Found 3 Documents
Search

Utilization of Collaborative Problem Solving of Mathematical Representation in Solving One Variable Linear Equation Problems Lisa Amelia; Indaryanti Indaryanti
Mosharafa: Jurnal Pendidikan Matematika Vol 12, No 3 (2023)
Publisher : Institut Pendidikan Indonesia Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v12i3.2742

Abstract

Penelitian ini bertujuan untuk melihat dan mendeskripsikan kemampuan representasi matematis siswa pada materi Persamaan Linier Satu Variabel (PLSV) setelah diterapkan model Collaborative Problem Solving (CPS). Metode penelitian yang digunakan adalah deskriptif dengan analisis data secara kuantitatif dan kualitatif sesuai dengan indikator representasi matematis. Penelitian ini dilaksanakan di SMP Negeri 6 Indralaya Utara di kelas VII.1 dengan melibatkan sebanyak 16 siswa sebagai subjeknya. Pengumpulan data dilakukan dengan memberikan tes tertulis berupa soal uraian dan hasil wawancara dengan siswa. Teknik analisis data yang digunakan meliputi memeriksa tes uraian merujuk pada indikator representasi matematis yaitu visual, simbolik dan verbal. Data yang telah terkumpul kemudian dianalisis berdasarkan pedoman penskoran yang merujuk pada indikator representasi matematis. Hasil analisis data selanjutnya dikelompokkan menjadi tiga kategori yaitu tinggi, sedang, dan rendah. Berdasarkan hasil analisis data didapatkan bahwa kemampuan representasi matematis siswa pada materi persamaan linier satu variabel setelah diterapkannya model CPS berada dikategori sedang dengan nilai rata-rata sebesar 59,687 dan skor rata-rata untuk indikator representasi visual yaitu sebesar 71,093, representasi simbolik 60,156, dan verbal 35,937.This study aims to look at and describe students' mathematical representation abilities in the One Variable Linear Equation (PLSV) material after applying the Collaborative Problem Solving (CPS) model. The research method used is descriptive with quantitative and qualitative data analysis according to the indicators of mathematical representation. This research was conducted at SMP Negeri 6 Indralaya Utara in class VII.1 involving 16 students as subjects. Data collection was carried out by giving written tests in the form of description questions and the results of interviews with students. The data analysis technique used includes examining the description test referring to indicators of mathematical representation, namely visual, symbolic and verbal. The data that has been collected is then analyzed based on scoring guidelines that refer to indicators of mathematical representation. The results of the data analysis are then grouped into three categories, namely high, medium, and low. Based on the results of data analysis, it was found that students' mathematical representation abilities in the material of one-variable linear equations after the implementation of the CPS model were in the moderate category with an average score of 59.687 and an average score for visual representation indicators that was 71.093, symbolic representation 60.156, and verbal 35.937.
Integration of Biochar-Banana Stem Compost: An Agronomic-Economic Evaluation for Brazilian Spinach Cultivation on Peat Soil Shabilla Amartiya Sari; Tri Putri Nur; Lisa Amelia; Nuni Gofar
Agroteknika Vol 9 No 1 (2026): Maret 2026
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/agroteknika.v9i1.618

Abstract

In addition to food crops, peatland also has potential for vegetable farming, such as Brazilian spinach. The aim of this study is to determine the most effective combination of banana stem biochar and banana stem compost doses for the growth and production of Brazilian spinach, as well as to analyze the feasibility of farming on peat soil. The research was conducted from October 2024 to March 2025 on land owned by farmers in Banyu Urip Village, Tanjung Lago District, Banyuasin Regency, South Sumatra. The Complete Randomized Factorial Design (CRFD) method was used in the study and consisted of two factors. The first factor was the dose of banana stem biochar: 5, 10, 15 tons/ha. The second factor was the dose of banana stem compost: 10, 20, 30, 40 tons/ha. Based on the results, the application of a combination of biochar and banana stem compost interacted significantly in increasing plant height (cm) and number of leaves (pieces) at 3 WAP and 4 WAP, as well as the fresh weight of Brazilian spinach plants at harvest. The length and fresh weight of Brazilian spinach roots at harvest were influenced by the main factors of banana stem biochar and banana stem compost. The combination of banana stem biochar and compost did not significantly increase the pH of peat soil. Based on the farming analysis, Brazilian spinach is viable to cultivate and provides the highest profit by applying 15 tons ha⁻¹ of banana stem biochar combined with 30 tons ha⁻¹ of banana stem compost.
Computational Thinking in Polyhedron: Student Analysis Lisa Amelia; Hapizah Hapizah; Budi Mulyono
Mosharafa: Jurnal Pendidikan Matematika Vol. 14 No. 2 (2025): April
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v14i2.2222

Abstract

Abstrak Computational Thinking (CT) penting dalam Pembelajaran bangun ruang sisi datar karena membantu siswa memahami masalah kompleks melalui berpikir matematis. Penelitian ini bertujuan menganalisis kemampuan CT siswa kelas VIII berdasarkan empat indikator: dekomposisi, pengenalan pola, abstraksi, dan algoritma. Metode yang digunakan adalah deskriptif kualitatif dan kuantitatif dengan tes berbasis konteks Tabot Bengkulu. Hasil menunjukkan siswa berada pada Kategori sedang, dengan capaian tertinggi pada abstraksi 73,75 dan terendah pada pengenalan pola 55,00. Temuan ini mengimplikasikan perlunya integrasi CT dalam evaluasi dan Pembelajaran Matematika untuk memperkuat kemampuan berpikir lagis siswa. Abstract Computational Thinking (CT) is important in learning polyhedra because it helps students understand complex problems through mathematical thinking. This study aims to analyze the CT abilities of eighth-grade students based on four indicators: decomposition, pattern recognition, abstraction, and algorithms. The methods used are descriptive, qualitative, and quantitative, with context-based tests from Tabot Bengkulu. The results show that students are in the moderate category, with the highest achievement in abstraction at 73.75 and the lowest in pattern recognition at 55.00. These findings imply the need to integrate CT into mathematics evaluation and learning to strengthen students' logical thinking skills.