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Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA)
Published by Pusat Riset dan Inovasi Nasional
ISSN : 28289382     EISSN : 28289390     DOI : https://doi.org/10.55606/jurrimipa.v1i1
Core Subject : Education,
Mathematics
Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam adalah jurnal yang ditujukan untuk publikasi artikel ilmiah yang diterbitkan oleh Pusat riset dan Inovasi Nasional, Universitas Sains dan Teknologi Komputer. Jurnal ini adalah jurnal Riset Rumpun 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 Riset Rumpun Matematika dan Ilmu Pengetahuan Alam menerima artikel dalam bahasa Inggris dan bahasa Indonesia dan diterbitkan 2 kali setahun: April dan Oktober.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 28 Documents
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Search results for , issue "Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam" : 28 Documents clear
Studi in Silico dari Senyawa Turunan Flavonoid pada Bahan Alam sebagai Terapi Antinyeri dan Inflamasi dalam Menghambat COX 2 Balqis Khansa Rahmatillah; Anisa Humaira Pelupessy; Amelia Putri; Aisril Eka Pertiwi; Afiq Rabbani Majid; Muhamad Iqbal Rhamadianto
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6373

Abstract

Inflammation is the body's natural biological response to tissue injury, infection, or other harmful stimuli. Inflammatory processes play an important role in maintaining the body's homeostasis, but excessive or chronic inflammation can trigger various degenerative diseases, including arthritis, cancer, and cardiovascular disorders. One of the main mediators of inflammation is the enzyme cyclooxygenase-2 (COX-2), which is in charge of converting arachidonic acid into pro-inflammatory prostaglandins. Inhibition of COX-2 activity is an important strategy in controlling inflammation. Selective COX-2 inhibitors (Coxibs) have been developed to reduce the gastrointestinal side effects commonly caused by conventional nonsteroidal anti-inflammatory drugs (OAINS). However, the use of Coxibs still poses a significant cardiovascular risk, so the search for alternatives from natural ingredients continues. Flavonoid compounds, which are abundant in fruits, vegetables, teas, and spices, show great potential as natural COX-2 inhibitors. Flavonoids have a polyphenol structure that allows for strong interactions with COX-2 active sites through hydrogen bonding and hydrophobic forces. This study is a literature review that examines the potential of flavonoids from natural ingredients as COX-2 inhibitors based on an in silico approach. This method was carried out through a literature search on the Google Scholar database using the keywords "Flavonoid", "COX-2", "In Silico", "Molecular Docking", and "Anti-inflammatory". The results of the analysis of ten articles showed that compounds such as myricetin, quercetin, rutin, catechin, and epicatechin-3-O-gallate have a high bonding affinity with COX-2, even exceeding in some cases standard drugs such as diclofenac and dexamethasone. Low bond energy values (ΔG) and optimal amount of hydrogen bonds support this potential. The findings indicate that flavonoids from natural ingredients can be developed into candidates for selective anti-inflammatory drugs COX-2 that are safer and more effective than existing synthetic therapies.
Berpikir Kritis Siswa dalam Menyelesaikan Soal Literasi Numerasi Berdasarkan Disposisi Matematis Kurota A’yun; Annafi Awantagusnik
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6414

Abstract

This study aims to describe students' critical thinking skills in solving numeracy literacy problems by considering their mathematical dispositions. Critical thinking skills are an important competency in 21st-century learning because they play a significant role in understanding concepts, analyzing information, and solving problems with a logical and systematic approach. Numeracy literacy, as part of basic mathematical competencies, requires students not only to be able to calculate but also to understand the context and apply mathematical concepts in real life. In this context, mathematical disposition—which includes self-confidence in mathematics, persistence in solving problems, and curiosity—is seen as a factor that influences students' critical thinking skills. This study used a descriptive qualitative approach with student subjects selected based on high, medium, and low mathematical disposition categories. The instruments used consisted of a numeracy literacy test and a semi-structured interview guide. Data were collected through completing a mathematical disposition questionnaire, working on numeracy literacy problems, and in-depth interviews with selected subjects. Data analysis techniques included data reduction, data presentation, and inductive conclusion drawing. The results of the study indicate that students with a high mathematical disposition tend to have more developed critical thinking skills. They are able to analyze problems in depth, evaluate relevant information, and draw logical and structured conclusions. Conversely, students with medium and low dispositions tend to have limited critical thinking skills, particularly in the aspects of evaluation and conclusion drawing. This finding emphasizes the importance of strengthening mathematical dispositions as an integral part of learning strategies to improve students' critical thinking skills in the context of numeracy literacy.
Sistem Pemeliharaan Suhu Kandang Ayam Boiler pada Umur 0 – 30 Hari Menggunakan Arduino UNO Epa Rosidah Apipah; Aryo Nurman Wardhana; Nining Yulianingsih; Audi Murfi Siregar; Hasan Hasan; Dadang Hidayat
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6420

Abstract

Maintaining stable cage temperature is a crucial factor in the success of broiler chicken farming, especially in close house systems that rely on optimal microclimate control. Temperature instability can lead to thermal stress, reduced growth rates, and increased mortality in broilers, particularly during the early stages of life (0 to 30 days old). This study aims to design and implement an automatic temperature control system based on the Arduino Uno microcontroller integrated with a DHT11 temperature and humidity sensor in the broiler chicken cages of PT. Barokah Restu Utama. The system is designed to read temperature and humidity in real-time and automatically activate or deactivate cooling devices such as fans or heating devices like incandescent lamps, depending on the temperature range required for each growth phase. The ideal temperature range used as a reference in this system includes 30–32°C for chickens aged 0–7 days, 29°C for ages 8–14 days, 28°C for ages 15–21 days, and 26–27°C for chickens aged 22–30 days. Testing results show that the system is capable of maintaining stable temperatures according to the specified standards for each growth phase. With this automatic control system in place, broiler chicken maintenance becomes more efficient and effective. The risk of mortality due to heat stress is significantly reduced, and chicken growth becomes more optimal. This technology offers a practical and economical solution, especially for small- to medium-scale broiler chicken farmers who use close house systems. The system is easy to operate and relatively affordable to install, making it an accessible innovation that supports better livestock management through automation and smart farming practices.
An Improving Service Quality Using Servqual With 3 Fuzzy Numbers : A Study in ITESA Muhammadiyah Semarang Tarita Intan Soraya; Ratri Wulandari; Wellie Sulistijanti; Wulan Bhakti Pertiwi; Muhammad Sulthan Madany
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6194

Abstract

Ensuring the delivery of high-quality public services within educational institutions is a critical factor for sustaining student satisfaction, institutional reputation, and overall organizational credibility. Service quality in higher education is often multidimensional and subjective, making its evaluation a challenging process. To address this complexity, the present study integrates the traditional Servqual model with fuzzy logic in order to handle the uncertainty and vagueness associated with human perceptions. The Servqual framework emphasizes five core dimensions of service quality, namely tangibles, reliability, responsiveness, assurance, and empathy, which together provide a comprehensive understanding of institutional service performance. The research was conducted at ITESA Muhammadiyah Semarang, where data collection was carried out through structured questionnaires designed to measure both student expectations and actual perceptions regarding institutional services. In order to capture the imprecise nature of these responses, three types of fuzzy numbers—triangular, trapezoidal, and shoulder fuzzy numbers—were applied to convert the linguistic assessments into measurable values. Subsequently, fuzzy gap analysis was performed to evaluate the discrepancy between expectations and perceptions across the five Servqual dimensions. The results of this analysis highlight that the integration of fuzzy logic into the Servqual model provides a more nuanced and flexible framework for assessing service quality compared to the conventional approach. It reduces the ambiguity in interpreting survey responses, thereby yielding more reliable insights into areas where service performance falls short of expectations. Furthermore, the study demonstrates that each dimension contributes differently to overall satisfaction, with responsiveness and assurance emerging as critical aspects requiring attention. In conclusion, the fuzzy-based Servqual model offers a robust methodological advancement in evaluating service quality within educational settings. The findings not only inform institutional leaders about current performance gaps but also provide actionable insights for continuous quality enhancement, policy formulation, and strategic decision-making to strengthen institutional competitiveness and credibility.
Analisis Pemahaman Konsep Matematis Siswa SMA Berkepribadian Introvert dan Ekstrovert pada Soal Berbasis Etnomatematika Bangunan Masjid Besar Kanjeng Sepuh Sidayu Lukmanul Khakim; Luluk Faridah; Khafidhoh Nurul Aini
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6512

Abstract

This research started from the difference in understanding of mathematical concepts found in students in grades XI-1 of SMA Kanjeng Sepuh Sidayu. The main purpose of this study is to analyze students' understanding of mathematical concepts based on extroverted and introverted personalities, with an ethnomathematical approach on the building of the Kanjeng Sepuh Sidayu Mosque. The research subjects consisted of four students who were selected with two personality categories, namely two students with introverted personalities and two students with extroverted personalities, which were determined through a personality questionnaire. Data collection techniques were carried out using questionnaires to find out personality types, mathematical concept understanding tests, and in-depth interviews to further explore students' understanding. The results showed that there were significant differences in the understanding of mathematical concepts between students with introverted and extroverted personalities. Students with introverted personalities show good ability to meet indicators 1, 3, and 5. This indicator includes the ability to restate a concept, provide examples and non-examples of a concept, and apply concepts or logarithms in problem solving. Students with extroverted personalities, on the other hand, excel in indicators 1, 2, and 4. This indicator includes the ability to restate a concept, classify objects according to the concept, and use and choose certain procedures or operations in solving problems. This study provides insight that the understanding of mathematical concepts is not only influenced by cognitive abilities alone, but also by students' personality factors. Introverted and extroverted personalities affect the way they absorb and apply mathematical concepts. Therefore, it is important for educators to pay attention to these differences in designing teaching approaches that suit the characteristics of the students.
Keanekaragaman Lichenes di Kawasan Aliran Air Panas Jaboi Kecamatan Sukajaya Kota Sabang Rahmah Nabila; Cut Ratna Dewi; Muslich Hidayat; Eriawati Eriawati; Mulyadi Mulyadi
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6545

Abstract

Biodiversity is a combination of the number of species and the number of individuals of each species in a community, one of which is in the Lichen group. Lichen is a form of mutualistic symbiosis between fungi and algae that morphologically and physiologically form a whole unit to produce new, unique individuals. This organism has an important role in the ecosystem, such as indicators of environmental quality, nutrient cycles, and soil surface cover. However, data on the diversity of Lichen species, especially in Geothermal areas, is still very limited so that information on their distribution and composition in the area is not optimal. This study aims to analyze the diversity index of Lichen species in the Jaboi Hot Spring area, Sukajaya District, Sabang City. The study was conducted in June 2025 using a combination of exploratory survey methods to determine research stations and transect line boundaries, as well as purposive sampling methods for Lichen sampling. Data were analyzed using the Shannon-Wiener diversity index (Ĥ). The results showed that there were 17 Lichen species belonging to 11 families with a total of 2027 colonies found in all observation stations. The obtained diversity index value was Ĥ = 2.819214, which is recommended as moderate diversity. These findings indicate that although the Jaboi Hot Springs area has unique environmental conditions due to geothermal activity, it still supports a diverse range of lichen species. This information is expected to form the basis for further research on lichen ecology, biodiversity conservation, and its potential use in geothermal areas. Furthermore, the results of this study can make important contributions to environmental management and bioindicator-based ecosystem quality monitoring.
Keanekaragaman Vegetasi Semak di Aliran Air Panas Jaboi Kecamatan Sukajaya Kota Sabang Hasnatul Salekha; Muslich Hidayat; Mulyadi Mulyadi; Eriawati Eriawati; Cut Ratna Dewi
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6579

Abstract

Shrub vegetation is an important component in the structure of vegetation communities that have a significant ecological role, especially in maintaining soil stability and supporting biodiversity. One area that has the potential for shrub vegetation diversity but has not been scientifically documented is the Jaboi hot spring area, Weh Island, Sukajaya District, Sabang City. The purpose of this study was to investigate various types of shrub vegetation found in the study area and to calculate the diversity index. Data collection was carried out using a one-hundred-meter line transect method divided into four paths, with one pair of transects directed towards residential areas and plantation areas, while the remaining two transects were directed towards areas that were still forested. At each transect there were six observation points with a distance between points of 20 meters, each point consisting of three quadrat plots measuring 2 × 2 meters. Analysis of the diversity index used the Shannon-Wiener formula (H’). The results showed that there were 9 shrub species from 7 families with a total of 169 individuals from four observation stations. The Melastomataceae family dominates the shrub community with two main species, Melastoma malabathricum and Memecylon caeruleum. The diversity index value is 2.17, which is included in the moderate category (H = 2–3). This diversity is influenced by the physical-chemical conditions of the environment, such as acidic soil pH (4.4–5.5) and relatively stable temperatures, although temperatures exceeding the optimum limit were found in some locations. This study provides initial data on the potential of shrub vegetation as a basis for ecosystem management and conservation in the area.
Estimasi Biomassa dan Karbon Serasah di Kawasan Aliran Mata Air Panas Jaboi, Kecamatan Sukajaya, Kota Sabang Raihan Raihan; Muslich Hidayat; Nurdin Amin; Zuraidah Zuraidah; Lina Rahmawati
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6594

Abstract

Tropical forests play an important role as carbon sinks and biomass stores, including through the litter produced by vegetation. Litter contributes to nutrient cycling, maintains soil fertility, and is an important component of ecosystem carbon reserves. This study aims to estimate the biomass and carbon content of litter in the Jaboi Hot Spring Flow Area, Sukajaya District, Sabang City. The study was conducted in June 2025 using a 100 m long line transect method with four transects, each consisting of 18 1 x 1 m plots. Leaf litter samples were collected, their wet weight was measured, dried in an oven for 48 hours, and their carbon content was calculated based on the percentage of organic carbon of 0.47. The results showed a total litter biomass of 8,106 kg/m² with an average of 2,027 kg/m², and a total litter carbon of 3,809 kg/m² with an average of 0,952 kg/m². The highest values were found at Station 3 (2,354 kg/m² and 1,106 kg/m²) and the lowest at Station 1 (1,691 kg/m² and 0,795 kg/m²). Variations in values are influenced by soil physical-chemical factors, vegetation density, and climatic conditions, which influence production and decomposition rates. These results emphasize the importance of monitoring biomass and litter carbon to support forest management and conservation.
Pengaruh Implementasi Nucleus (Inti) terhadap Pertumbuhan Mutiara Diperairan Palabusa Kecamatan X Mujuna Hutuala; Veni Rosnawati; Haswan Haswan
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6598

Abstract

This research is motivated by the potential of the waters of South Palabusa, Buton, as an ideal habitat for pearl oyster cultivation. This region has ecological advantages that can support the growth of oysters producing high-value pearls. However, pearl production is still strongly influenced by the application of nucleus implantation techniques and the condition of the aquatic environment. Therefore, this study aims to determine the effect of nucleus implantation on pearl growth and quality and identify environmental factors that play a significant role. The research method used is descriptive quantitative, with subjects being Pteria penguin oysters cultivated by the local community for a period of one month. The main parameters observed included the oyster survival rate, pearl size growth, and the quality of the resulting nacre. The findings provide valuable insight into how nucleus implantation can optimize pearl farming practices. The results showed that oysters implanted with nucleus implants had a survival rate of between 85–90%. Pearl diameter growth reached 1–2 cm per month, with a thicker nacre layer and brighter color than oysters without nuclei. Environmental factors, such as water temperature of 28–30°C, salinity of 30–35 ppt, pH 7.5–8.5, moderate water currents, and high plankton availability, have been shown to support successful cultivation. These environmental factors act as natural enhancers that improve pearl quality and survival rates. The findings of this study imply that the application of appropriate nucleus implantation techniques, accompanied by good environmental management, can increase pearl yield and quality. This not only provides significant economic benefits for cultivators but can also serve as a basis for developing sustainable pearl cultivation strategies in potential Indonesian waters. Thus, sustainable pearl aquaculture can become a promising sector for local communities.
Pemetaan Cuaca Berdasarkan Penyebaran Awan Menggunakan Analisis Korespondensi Ni Komang Ayu Karisma Dewi; Ni Nyoman Swastika Sukma Suryani; Dewa Ayu Made Sri Wijayati Utami; Made Ayu Dwi Octavanny
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6276

Abstract

Weather and cloud cover are two fundamental atmospheric elements that are closely interconnected and play a vital role in understanding, classifying, and predicting atmospheric conditions. Accurate classification of weather conditions is essential not only for meteorological studies but also for practical applications in agriculture, aviation, transportation, and disaster management. Among the various statistical techniques available, correspondence analysis has proven to be an effective exploratory method for revealing associations among categorical variables by displaying their relationships in a two-dimensional graphical map. The primary objective of this study is to examine the relationship between different categories of weather conditions and levels of cloud cover using correspondence analysis. The data were sourced from the Kaggle platform, consisting of 13,200 observations with two key categorical variables: weather conditions (sunny, cloudy, rainy, and snowy) and cloud cover (clear, partly cloudy, cloudy, and overcast). This large dataset provides sufficient variability and reliability to capture the complex interdependence between the two variables. The findings reveal a statistically significant relationship between weather categories and cloud cover levels. The correspondence map visualization shows distinct patterns: clear weather is strongly associated with cloudless skies, while rainy and snowy weather conditions are predominantly linked to fully overcast skies. Cloudy and partly cloudy conditions occupy an intermediate position on the correspondence map, reflecting a transitional state between favorable and unfavorable weather. The first dimension of the map represents a spectrum from favorable weather conditions (sunny and clear) to adverse conditions (rainy and snowy), whereas the second dimension primarily reflects the intensity or density of cloud cover, ranging from thin to thick cloud layers. Overall, this study demonstrates the usefulness of correspondence analysis as an exploratory tool for meteorological data, offering valuable insights into the interrelation of weather and cloud cover categories.

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