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Pembelajaran Matematika Berorientasi Etnomatematika Rejang Lebong Di Prodi Sains Perkopian Universitas Pat Petulai Tanti Novita; Dendi Septian Putra
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 1 No. 5 (2023): Oktober : Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v1i5.678

Abstract

This research aims to describe the results of ethnomathematics exploration of the Rejang Lebong community using exploratory research and an ethnographic approach. The research results show that without studying mathematical concepts, the Rejang Lebong people have applied these concepts in their daily lives using ethnomathematics. It is proven that there are mathematical concepts contained in traditional house buildings, decorative geometric shapes in rejang weaving, as well as traditional dances of the Rejang Lebong people. The researcher suggests the results of this research to: (a) be used as an alternative idea for learning mathematics outside the classroom, (b) be introduced to formal mathematics learning as initial capital for teaching mathematical concepts to Pat Petulai University coffee science study program students, (c) be used as reference material for compiling contextual mathematics problem solving questions.
Analisis Kesalahan Mahasiswa Dalam Menyelesaikan Soal Cerita Ekonomi Perkebunan di Prodi Sains Perkopian Universitas Pat Petulai Tanti Novita; Novriza Wahyu Ardiansyah
Botani : Publikasi Ilmu Tanaman dan Agribisnis Vol. 1 No. 2 (2024): May: Botani: Publikasi Ilmu Tanaman dan Agribisnis
Publisher : Asosiasi Riset Ilmu Tanaman Dan Hewan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/botani.v1i2.88

Abstract

This research aims to analyze the types of errors and factors that cause students' errors in solving plantation economics story questions. This research is a qualitative and quantitative descriptive research. The subjects in this research were students in the second semester of the Pat Petulai University Coffee Science Study Program for the 2023/2024 academic year, totaling 18 students. The instruments and data collection techniques used in this research were test sheets, interviews and questionnaires. The results of the research show that the types of errors made by students are (1) conceptual errors by 96.55% of students (2) calculation errors by 86.20% of students, (3) errors in reading questions by 89.65% of students, (4) strategic errors amounted to 79.31% of students (5) data usage errors amounted to 65.51% of students. Factors causing errors include poor understanding of concepts, weak mathematics skills, affective factors, less effective teaching methods.
Analisis Pendapatan Usaha Industri Pengolahan Kopi Bubuk Cap Jempol di Kabupaten Rejang Lebong Tanti Novita; Nur Atika Fadilah; Novriza Wahyu Ardiansyah; Syamsir Hidayad
Hidroponik : Jurnal Ilmu Pertanian Dan Teknologi Dalam Ilmu Tanaman Vol. 1 No. 3 (2024): November: Hidroponik: Jurnal Ilmu Pertanian Dan Teknologi Dalam Ilmu Tanaman
Publisher : Asosiasi Riset Ilmu Tanaman Dan Hewan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/hidroponik.v1i3.271

Abstract

This study aims to analyze the revenue and efficiency of the coffee powder processing industry "Cap Jempol" in Rejang Lebong Regency. The research employs a quantitative descriptive approach, focusing on revenue analysis, cost structure, and efficiency levels. Data were collected through interviews, observations, and questionnaires distributed to business owners and workers in the industry. The analysis shows that the total revenue (TR) of the "Cap Jempol" coffee powder business is IDR 35,000,000 per month, with total costs (TC) amounting to IDR 21.229.542 per month. The resulting profit is IDR 13.770.458 per month, and the Revenue-Cost Ratio (R/C Ratio) is calculated at 1.65, indicating that the business is profitable and efficient. Furthermore, labor productivity is measured at 100 kg per worker per month, demonstrating an efficient production process. Several factors influencing business revenue include raw material costs, operational expenses, market demand, marketing strategies, and competition. The findings suggest that improving production efficiency, expanding market reach, and optimizing cost management could enhance business profitability.
Utilizing Mathematical Models as a Basis for Coffee Cultivation Techniques Tanti Novita; Venti Novita Sari; Risa Oktaria; Lisa Malinda
International Journal of Education, Vocational and Social Science Vol. 4 No. 01 (2025): Pebruary,International Journal of Education, Vocational and Social Science( IJ
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijevss.v4i01.1624

Abstract

Coffee cultivation is an agricultural sector that requires a scientific approach to increase productivity and efficiency. The use of mathematics in agricultural management is still rarely applied systematically, even though various studies show that number-based analysis can help optimize resources. The integration of mathematical concepts in coffee farming can be a solution in facing the challenges of climate change and crop yield uncertainty. This research aims to examine how the application of mathematics can increase efficiency in cultivating coffee plants. The main focus of this research is quantitative analysis of water management, fertilizer distribution, and crop yield predictions based on mathematical models. This study also assesses the impact of using calculation methods on farmers' economic stability and environmental sustainability. This research uses a quantitative approach with survey methods and case studies on several coffee farming groups in Indonesia. Data was obtained through direct observation, interviews, and statistical analysis of production patterns and crop distribution. Simple mathematical models are used to measure the effectiveness of irrigation planning, fertilizer application, and crop stock management. The research results show that farmers who apply a mathematics-based approach experience an increase in productivity of up to 20% compared to traditional methods. More efficient resource management also has an impact on reducing operational costs and increasing resilience to external factors such as weather and market price fluctuations. Integration of prediction models helps farmers make more precise decisions regarding planting and harvest times. This research concludes that the application of mathematics in coffee farming contributes to increasing efficiency, environmental sustainability and farmer welfare. Education and training regarding calculation-based methods are important steps to expand the application of this strategy. Further studies are needed to develop more complex models with the integration of digital technology to increase the precision of analysis in coffee cultivation.