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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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Hubungan Matematika Bisnis dan Matematika Ekonomi Muhammad Surya Ananta; Ariantje Dimpudus
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.v2i2.3383

Abstract

This research is a literature study on the relationship between business mathematics and economic mathematics, both in terms of concepts and applications. With an in-depth understanding of business mathematics, it is hoped that readers can appreciate the importance of applying mathematics in business decision-making and apply a data-driven scientific approach in their endeavors. Business mathematics is a very important science in modern management, helping companies to make better decisions, improve operational performance, and achieve goals in a fast-changing business environment
Uji Skrining Fitokimia Menggunakna Daun Pegagan (Centella Asitica) Untuk Mengidentifikasi Senyawa Alkaloid, Flavonoid, dan Saponin Syahrul Muflih Harahap; Ahmad Baihaqi Ananda El Rawy; Muhammad Ibnu Sina
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.v2i2.3453

Abstract

As a tropical country, Indonesia has many types of biodiversity, including plants that are spread throughout Indonesia, approximately as many as 40,000 species with 7,500 species of which can be used as medicinal plants which are applied for medical needs and biological and chemical research. One of the topics discussed in this journal is the gotu kola leaf, known as the Latin name (centella asiatica). This plant contains tannins, flavonoids, vitamin A and vitamin C with various properties including accelerating the wound healing process, other benefits such as improving brain and nerve function. It should be noted that this efficacy is due to the presence of secondary metabolites in the gotu kola leaf and to find out, alkaloid, flavonoid, and saponin tests were carried out using dried gotu kola leaves and then divided into two bottles of 200 ml of methanol and N-hexane solution and then macerated for 3 days. . After the maceration process is complete, a thick extract of gotu kola leaves is produced and then continued with testing for alkaloids, flavonoids, and saponins which will later get results that aim to be the first step to determine secondary metabolite compounds and be useful as information on the utilization of the efficacy of gotu kola leaves as well as research in biology and chemistry.
Penerapan Program Dinamik untuk Mengoptimalkan Total Biaya dalam Perencanaan Produksi dan Pengendalian Persediaan Bella Lestari; Sawaluddin Sawaluddin
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.v2i2.3470

Abstract

Dynamic programming is a mathematical technique for optimizing decisions in stages by breaking a problem inton stages mthat solve recursively. It display the quantity and arrangement of invemtory to maintain production and ,businness revenue efficiently when used in inventory control management. This production planning uses a dynamic programming method based on the results of advanced calculations start from stage  1 and move forward to stage 12. the dynamic programming approach in this writing is deterministic because the pattern of the number of requests for bread is known absolutely. Decisions involving a problem are simplified little by little rather than directly. This research uses linear regression with a mathematical formula that is:  followed by the defect percetage formula  to forecast demand for the next 12 months and apply a dynamic program to achieve the minimum total quantity.
Desain Pembelajaran Model Jigsaw Terhadap Kemampuan Pemahaman Konsep Matematis dan Self-Efficacy Siswa Lukman El Hakim; Sofyan Husein Nasution; Tian Abdul Aziz; 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.v2i2.3515

Abstract

This article aims to develop an instructional design in applying the Jigsaw cooperative learning model to the ability to understand mathematical concepts and the self-efficacy of students at SMK N 26 Pembangunan Jakarta. The learning material chosen is lines and series, covering the following sub-topics: Arithmetic series, geometric series, arithmetic series, and geometric series. The steps before forming the instructional design carried out a needs analysis in which classroom observations and teacher and student interviews were carried out. After the needs analysis is obtained, a learning plan is formed that will be created and will be implemented in the next lesson.
Peramalan Prakiraan Cuaca Setiap Hari di Kota Medan dengan Pendekataan Rantai Markov Septia Cahaya Sari Sipayung; Thanaya Lovry Lastiar; Trinita Melyana Hutagalung; Sisti Nadia Amalia
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.v2i2.3516

Abstract

This research utilizes the Markov Chain method to analyze daily weather data in the city of Medan. The main objective of this study is to forecast weather changes in the future based on the weather conditions of the previous day. Daily weather data was collected from the nearest weather station over a specific period of time. The analysis results indicate that the Markov Chain model provides good estimates of the likelihood of weather changes from one day to the next. The steady state probabilities demonstrate the dominance of partly cloudy and clear weather in the long term. This research provides valuable insights for various sectors related to weather, such as agriculture, transportation, and tourism.
Peramalan Bencana Alam di Kota Semarang dengan Menggunakan Markov Chains Suci Ramadhani; Surya Alenta Nababan; Yasmin Azzahra; Sisti Nadia Amalia
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.v2i2.3519

Abstract

Indonesia, as a country with complex geological conditions due to the convergence of various tectonic plates, is highly susceptible to natural disasters such as earthquakes, tsunamis, and volcanic eruptions. The city of Semarang, as the capital of Central Java Province, also frequently faces disasters such as floods, landslides, and earthquakes. Predicting the occurrence of natural disasters becomes crucial to mitigate the negative impacts they cause. This study uses the Markov chain method to predict natural disasters in the city of Semarang based on disaster data from 2018-2022. The prediction results indicate a 16% chance of floods, 34% chance of landslides, 10% chance of tornadoes, 22% chance of fires, and 17% chance of falling trees in 2023. Validation of the predictions against actual data for 2023 shows a relatively good match for floods and fires, but there are significant differences in the predictions for tornadoes and falling trees. These results indicate that the Markov chain method has potential in predicting disaster occurrences, but accuracy improvements are needed to account for weather variability and dynamic environmental factors. This research is expected to assist the government and society in enhancing disaster preparedness and mitigation in the future.
Pengaruh Faktor Fundamental Terhadap Harga Saham Sektor Industri Real Estate di Bursa Efek Indonesia (BEI) Agatha Tumanggor; Audrey Audrey; Christine Simatupang; Dewi Lowisa; Diah Ayu; Dimas Arza; Enjelina Samosir; Immanuel Siahaan; Ishak Munawar; Kasih Simbolon; Nova Sitinjak; Rifka Sibuea; Rini Sartika
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.v2i2.3520

Abstract

The Indonesian capital market is experiencing significant growth, encouraging investors to consider shares as the main investment option. Fundamental analysis is important in assessing company performance, especially in the property and real estate sectors which are important for the Indonesian economy. This research aims to analyze the influence of fundamental factors such as Return On Assets (ROA), Return On Equity (ROE), Debt to Equity Ratio (DER), and Book Value (BV) on the share prices of property and real estate companies listed on the Indonesia Stock Exchange (BEI) for the 2021-2023 period. Using a panel data regression model with a random effects approach, the results show that BV has a partially significant positive effect on stock prices, while ROA, ROE and DER have a partially significant negative effect. These findings provide insight for investors in identifying key factors that influence share prices, so that they can help in making better investment decisions in the property and real estate sector.
Analisis Model Sistem Antrian Pada Pelayanan Konsumen Mie Gacoan Cabang Pancing Kota Medan Yohana Sitorus; Sukma Dermawan Saragih; Wahyuni Susi Sulastri Berasa; Sisti Nadia Amalia
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.v2i2.3521

Abstract

This research aims to analyze the queuing system model for consumer service at Mie Gacoan Pancing Branch, Medan City. With the increasing popularity of Mie Gacoan, there has been a significant increase in the number of customers, resulting in long queues and long waiting times. This research uses observation and interview methods to collect data regarding the number of customers, arrival time, service time, and number of available waiters. The data is then analyzed using the M/M/1 and M/M/c queuing models to determine queue characteristics such as average queue length, average waiting time in the queue, and waiter utility. The analysis results show that the M/M/c queuing model is more effective in reducing waiting time and queue length compared to the M/M/1 model. By increasing the number of waiters, service efficiency can be increased, thereby increasing customer satisfaction. This research provides strategic recommendations for the management of Mie Gacoan Pancing Branch in optimizing the queuing system to provide better service to consumers.
Analisis Pengaruh Indeks Pembangunan Manusia dan Pengangguran Terhadap Tingkat Kemiskinan di Sumatera Utara Menggunakan Metode Regresi Linear Berganda Indah Febriani Sagala; Achmad Fajri Romadhoni; Annisya Mardiana; Ayu Widyasari; Demak Rotua Simamora; Dilla Nurfadiah; Ega Ananda Br Sembiring; Irvina Abelia Harahap; M.E Ernawati Siregar; M.Fajar Alif; Nagita Adella; Reski Augustian S; Richard Fernando Sihotang
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.v2i2.3524

Abstract

Poverty is a serious problem in Indonesia, including in North Sumatra. Various factors include the human development index (HDI) and unemployment rate. This research aims to analyze the influence of the Human Development Index (HDI) and unemployment on the poverty rate in North Sumatra using the method multiple linear regression to analyze secondary data obtained from the Central Statistics Agency (BPS) of North Sumatra. The variables used in this research are the HDI and unemployment, while the dependent variable is the poverty level. The results of the research show that the HDI and the unemployment rate have a significant influence on the poverty level. These findings show that to reduce poverty in North Sumatra, efforts are needed to increase the HDI through improving the quality of education, health and living standards of the community by increasing the HDI which provides efforts to prevent poverty from occurring.
Implementasi Fuzzy Logic Controller System Metode Mamdani dan Metode Sugeno Dalam Peningkatan Efisiensi Dan Kinerja Pencucian Pada Smart Washing Machine Fajrina Reski Arini; Muhammad Romi Syahputra
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.v2i2.3577

Abstract

Pencucian pakaian merupakan salah satu proses yang penting dalam kehidupan sehari-hari. Meskipun mesin cuci otomatis telah memberikan kemudahan dalam melakukan proses pencucian, penggunaan teknologi terbaru seperti kontrol logika fuzzy dapat meningkatkan kinerja mesin cuci pintar untuk mencapai hasil pencucian yang optimal. Penelitian ini bertujuan untuk mengimplementasikan kontrol logika fuzzy dengan metode Mamdani pada mesin cuci pintar guna meningkatkan efisiensi dan kualitas pencucian. Metode penelitian ini terdiri dari beberapa tahap, pertama, melakukan analisis terhadap variabel-variabel yang mempengaruhi proses pencucian, seperti beban pakaian, ketebalan pakaian, tingkat kekotoran, dan suhu air. Selanjutnya merancang sistem kontrol logika fuzzy Mamdani dengan menentukan fungsi keanggotaan untuk setiap variabel serta membuat aturan-aturan fuzzy untuk menghubungkan variabel input dan output dan yang terakhir melakukan evaluasi hasil pencucian terhadap variabel input yang telah ditentukan. Hasil penelitian menunjukkan bahwa implementasi kontrol logika fuzzy Mamdani pada mesin cuci pintar dapat meningkatkan kualitas pencucian yang signifikan dan adaptif dalam menentukan parameter-parameter pencucian dengan menghasilkan kualitas pencucian yang lebih bersih. Dengan demikian integrasi kontrol logika fuzzy Mamdani pada mesin cuci cerdas memiliki potensi meningkatkan kinerja pencucian secara keseluruhan. Kesimpulannya, penggunaan kontrol logika fuzzy Mamdani pada mesin cuci pintar merupakan langkah yang efektif untuk meningkatkan efisiensi dan efektivitas pencucian pakaian. Penelitian ini memberikan kontribusi dalam pengembangan teknologi mesin cuci pintar yang lebih adaptif dan ramah lingkungan, serta memberikan kontribusi penting dalam pengembangan teknologi dalam bidang kontrol logika fuzzy untuk aplikasi rumah tangga pintar lainnya.

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