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Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam
Published by International Forum of Researchers and Lecturers
ISSN : 29875315     EISSN : 29875374     DOI : https://doi.org/10.59581/konstanta.v3i3
Core Subject : Science, Education,
Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Immunology & microbiology Mathematics
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam; e-ISSN : 2987-5374, p-ISSN : 2987-5315 adalah jurnal yang ditujukan untuk publikasi artikel ilmiah yang diterbitkan oleh International Forum of Researchers and Lecturers. Jurnal ini adalah Jurnal Matematika dan Ilmu Pengetahuan Alam yang bersifat peer-review dan terbuka. Bidang kajian dalam jurnal ini termasuk sub rumpun Ilmu IPA, Ilmu Matematika, Ilmu Kebumian dan Angkasa. Jurnal Konstanta menerima artikel dalam bahasa Inggris dan bahasa Indonesia dan Jurnal ini terbit 1 tahun 4 kali (Maret, Juni September dan Desember). Berikut adalah ruang lingkup Jurnal Matematika dan Ilmu Pengetahuan Alam Yaitu: Sub Rumpun Ilmu IPA: 1. Fisika 2. Kimia 3. Biologi (dan Bioteknologi Umum) 4. Bidang Ipa Lain Yang Belum Tercantum Sub Rumpun Ilmu MATEMATIKA: 1. Matematika 2. Statistik 3. Ilmu Komputer 4. Bidang Matematika Lain yang Belum Tercantum Sub Rumpun Ilmu KEBUMIAN DAN ANGKASA: 1. Astronomi 2. Geografi 3. Geologi 4. Geofisika 5. Meteorologi 6. Bidang Geofisika Lain yang Belum Tercantum
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 225 Documents
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Prediksi Hasil Produksi Kopi Provinsi di Pulau Kalimantan Menggunakan Analisis Rantai Markov Reynaldy Hutabarat; Satria Rizky Silaban; Septi Melani Putri Tambunan
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3629

Abstract

This research discusses the prediction of coffee production outcomes in Kalimantan using Markov chain analysis. A Markov chain is an analytical technique that can be used to predict future changes based on past changes. The aim of this study is to determine the predicted coffee production results in Kalimantan from 2023 to 2025 based on Markov chain analysis. Based on the results of the Markov chain analysis of coffee production data in Kalimantan from 2018 to 2022, it is concluded that the predicted coffee production results in 2024 are as follows: West Kalimantan Province is expected to produce 3.5632 thousand tons, Central Kalimantan Province 0.3275 thousand tons, South Kalimantan Province 1.3727 thousand tons, East Kalimantan Province 0.1934 thousand tons, and North Kalimantan Province 0.1539 thousand tons. Furthermore, in 2025, the coffee production in West Kalimantan Province is predicted to reach 3.5935 thousand tons, Central Kalimantan Province 0.3304 thousand tons, South Kalimantan Province 1.3857 thousand tons, East Kalimantan Province 0.1952 thousand tons, and North Kalimantan Province 0.1554 thousand tons.
Desain Pembelajaran dengan Problem Solving untuk Meningkatkan Kemampuan HOTS Materi Integral RA Seravika Primasari; Tian Abdul Aziz; Lukman El Hakim; Flavia Aurelia Hidajat
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3634

Abstract

The instructional design with a problem-solving approach is essential for enhancing students' Higher Order Thinking Skills (HOTS) in secondary education. The aim of this research is to develop an effective and measurable learning process that can improve students' HOTS through a problem-solving approach, with a particular focus on the topic of integrals, which students often find challenging. The research method used in this study is Instructional Design Development, which integrates student needs analysis, clear learning objectives, and the application of innovative and relevant instructional strategies. This research involves a comprehensive analysis of various theories and best practices in problem-based learning, as well as evaluating its effectiveness through classroom trials. The sources of information evaluated include academic journals, textbooks, and previous research reports, providing diversity and validity of data for analysis. This analysis includes the definition of HOTS, HOTS indicators investigated, and the strategies and methods commonly used in problem-solving learning. This research aims to provide a deeper understanding of how instructional design with problem-solving can enhance students' HOTS, particularly in understanding and mastering integral material. The results of this research are expected to significantly contribute to the development of more effective and efficient learning strategies, focusing on developing students' critical and creative thinking skills in education.
Desain Pembelajaran Dick and Carey pada Materi Matematika Tingkat Lanjut Konsep Dasar Vektor Kelas XI SMA Nita Adelyn; Tian Abdul Aziz
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 3 (2024): September : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i3.3651

Abstract

Basic vector concept material will be more meaningful and able to hone students' mathematical communication skills if learning is implemented that is appropriate to the characteristics of students and needs in the field. The aim of this research is to create a research design for basic vector concept material using the Dick and Carey model. The results show that there are 10 steps that teachers need to pay attention to when creating learning designs and ensuring that the learning objectives contained are in accordance with learning achievements and needs in the field.
Geeoti: Greenhouse Terintegrasi Iot Sebagai Media Pengering Kopi yang Mampu Meningkatkan Profit Produsen Kopi Fermentasi Ayah Senaru M. Khairul Tsani; Affansyah Arrahman; Alfan Satria Pratama; Ziadatul Fitri; Alva Riani Ulfa
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 3 (2024): September : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i3.3653

Abstract

Coffee is a plantation crop that has long been planted and cultivated in Lombok. Senaru Village, Bayan District, North Lombok Regency is the largest robusta coffee producing area in Lombok with 225 hectares of coffee land. One of the coffee processing places in Senaru Village is the producer of Ayah Senaru Fermented Coffee which still uses the dry sun method with a tool called a widik. This drying method has many disadvantages because it takes a long time, is very dependent on the weather and is unhygienic. The process of drying coffee is the main factor that can determine the quality of coffee, which is why there is a need for technology as a coffee drying medium that is capable of producing quality coffee. Handling after harvest can be improved by applying modern coffee drying technology, namely greenhouses. The aim of this activity is to increase partner profits through an IoT integrated coffee drying greenhouse (GEEOTI) which is able to streamline coffee drying time and produce hygienic coffee skin waste. The method applied is the creation of GEEOTI, socialization of its use and analysis of the impact on increasing partner profits. The results of the research are that greenhouses can have a positive effect in speeding up, flattening the drying process and improving the quality of coffee compared to conventional methods. The waste from the coffee skins produced also becomes more hygienic coffee waste so it can be used as cascara tea. This activity can certainly increase partner profits by up to 100%. The partner's income, which was initially only IDR 5,100,000, was able to become IDR 13,950,000 per month because with the use of GEEOTI there was an increase in the price of coffee and the addition of a by-product in the form of cascara tea from coffee skin waste.
Pengembangan Bahan Ajar Berbasis Problem-Based Learning Untuk Materi Aljabar di SMP Chandra Sagul Haratua; Riska Chintya Dewi; Ananda De'Visky Hanggara Suci; Sartika Ratnayu
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 3 (2024): September : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i3.3655

Abstract

This study aims to develop Problem-Based Learning (PBL) teaching materials for algebra content in Junior High School (SMP). The research method used is Research and Development (R&D) with the ADDIE development model (Analysis, Design, Development, Implementation, and Evaluation). The results of the study indicate that PBL-based teaching materials can improve students' understanding of algebraic concepts and critical thinking skills. The trial was conducted on eighth-grade students at SMP negeri 3 Depok, with results showing a significant increase in students' final test scores compared to before using the PBL-based teaching materials.
Identifikasi Lumut Kerak (Lichen) sebagai Bioindikator Pencemaran Udara di Area Kampus Universitas Islam Negeri Sunan Gunung Djati Allifa Khoerurrahmah; Amelia Alphabenita; Clarissa Syahnaz Aulia; Ateng Supriyatna
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 3 (2024): September : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i3.3675

Abstract

This research aims to identify lichens as bioindicators of air pollution in the area of ​​the Sunan Gunung Djati State Islamic University Campus, Bandung. Research was carried out to evaluate the amount and types of lichen present and to assess the air quality in the campus environment. In this research, observations were made of several types of lichens growing in various locations on campus. Observation results showed the presence of several types of lichens such as Dirinaria sp., Cryptothecia striata, Dirinaria picta, and Diploicia canescens. The number of colonies and morphological characteristics of each lichen type were identified to interpret the level of air pollution at each location. Observation results show that the campus has a variety of lichen types, each of which shows tolerance to different environmental conditions. Among the types found, Dirinaria sp. and Cryptothecia striata were found in relatively large numbers of colonies, while Dirinaria picta showed good adaptability even though it was found in small numbers, and Diploicia canescens indicated fairly polluted air conditions. Thus, this research concludes that lichens can be used effectively as bioindicators to monitor air quality around campus, with the number and diversity of lichen types providing an overview of overall environmental conditions.
Evaluasi Perencanaan Produksi Kubis Di Sumatera Utara Dengan Metode Rantai Markov Waktu Diskrit Witri Wardani Hulu; Talitha Nakhwan Hasibuan; Widya Narti Lubis; Sudianto Manullang; Sisti Nadia Amalia
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 3 (2024): September : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i3.3736

Abstract

This research aims to evaluate cabbage production planning in North Sumatra using the discrete-time Markov chain method. Cabbage is one of the horticultural agricultural products that plays an important role in North Sumatra's exports. Proper evaluation of production plans is necessary to ensure sustainability and increase productivity and export volume. The Discrete Time Markov Chain method is used to predict changes in cabbage production conditions over time by considering the factors that influence them. Data on cabbage production and harvested area in North Sumatra from 2020 to 2022 were analyzed using one-step and n-step transition opportunity matrices. The results of the analysis show that in 2023, cabbage production and harvested land area are predicted to experience a significant increase compared to the previous year. This research provides a more accurate and efficient planning strategy for cabbage production, which can ultimately improve agricultural management in North Sumatra.
Pemanfaatan Platform Edpuzzle dalam Pembelajaran Matematika Adib Rozan; Sri Hastuti Rhomawati; Melati br Pasaribu
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 3 (2024): September : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i3.3828

Abstract

The shift from face-to-face learning to online and blended learning due to the Covid-19 pandemic presents challenges for educators and prospective teachers in designing effective instruction. One of the commonly used instructional media in online and blended learning is video. However, using video as a material delivery tool has its drawbacks, such as difficulties in monitoring student activities and assessing their understanding. This issue is also experienced by students of the Mathematics Study Program at Universitas PGRI Mahadewa Indonesia when using video as learning material. To address this problem, training was conducted for prospective teachers on designing instruction using videos integrated with the Edpuzzle platform. In this training, prospective teachers were taught to create notes and quizzes within videos, provide feedback and assessments, and monitor learning activities. Through this training, it is expected that prospective teachers can design interactive online and blended learning using video.
Identifikasi Kandungan Senyawa Metabolit Sekunder pada Daun Jambu Biji (Psidium Guajava L Var. Pyrifera) di Kabupaten Bandung Habib Indraswara; Nadya Nur Aisyah; Rini Rini; Muhimatul Umami
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 3 (2024): September : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i3.3830

Abstract

Secondary metabolites are compounds produced by plants, microorganisms and animals through the process of biosynthesis or derivatives from primary metabolites. The maceration method is a simple way to separate bioactive compounds from plant material. Guava leaves contain secondary metabolite compounds which have medicinal effects such as antibacterial, antioxidant and anti-inflammatory. This simplicia leaf is soaked in 96% ethanol (using the maceration method) for 24 hours and concentrated using a rotary evaporator. Alkaloid, flavonoid and saponin tests show that guava leaves contain these three compounds. These compounds have potential for development in the pharmaceutical field.
Studi Literatur: Penerapan Geogebra Terhadap Kemampuan Komunikasi Matematis Siswa Fanny Selfinta Perangin-angin; Yahfizham Yahfizham
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 3 (2024): September : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i3.3836

Abstract

This study aims to explore the application of GeoGebra software in improving students' mathematical communication skills. GeoGebra, as a visualization and interactive tool, is considered to be able to help students understand mathematical concepts more deeply and effectively. This literature study collects and analyzes various studies that have been conducted on the use of GeoGebra at various levels of education, from elementary school to college. The results of the study show that the use of GeoGebra can improve students' mathematical communication skills, both in written and oral form. Students who use GeoGebra tend to have an easier time describing and explaining mathematical concepts, as well as being more actively involved in discussions and problem-solving. In addition, GeoGebra also helps to increase students' motivation to learn and provide a more enjoyable and meaningful learning experience. The conclusion of this study shows that GeoGebra is an effective tool to be used in mathematics learning to improve students' mathematical communication skills.

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