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Arifin Aji Nugroho
SMA Trensains Muhammadiyah Sragen
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Analisis dan Simulasi Parameter Model Susceptible Vaccinated Infected Recovered (SVIR) pada Penyebaran Tuberkulosis di Indonesia Arifin Aji Nugroho; Muhammad Azhar Aziz; Ahmad Yasser Aulia Tanjung
Jurnal Integrasi Sains dan Quran Vol 2 No 1 (2023): Februari
Publisher : SMA Trensains Muhammadiyah Sragen

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Abstract

Infectious diseases still threaten world wide. One of the most infectious is TB that is infected through Mycobacterium tuberculosis. TB Prevention is carried out by BCG vaccination, while TB treatment is carried out through DOTS. The pattern of TB transmission can be identified using the SVIR model. The TB program in Indonesia is carried out to achieve TB Elimination in 2035 and Indonesia TB-free in 2050 by taking into account three indicators, namely prevalence, incidence, and mortality. This study aims to reproduce the SVIR model, analyze the model solution and interpret the results for TB programs in Indonesia. Furthermore, the transmission pattern and predictions of three TB indicators in Indonesia are determined. Moreover, parameter simulation of contact rate is applied based on Hadis Rasululloh Saw to prevent the interaction between the infectious and noninfectious individu. The SVIR model is applied in Indonesia by estimating parameters based on data for 2004-2018. The accuracy of the model is measured based on absolute relative error in 2019 and 2020. RK Order 4 Method showed the error values of less than 5%, so that the model is quite accurate in determining TB transmission and three indicators above. The projection of the three indicators and the simulation of the contact rate showed a significant decrease. However, the TB Elimination and Indonesia TB-free has not been achieved.
PEMBUATAN BRIKET DARI KULIT KOPI SEBAGAI BAHAN BAKAR ALTERNATIF RAMAH LINGKUNGAN Rafidani Elfirdaus; Rafi Zahid Santoso; Arifin Aji Nugroho; Agus Widayoko
Jurnal Integrasi Sains dan Quran Vol 3 No 02 (2024): Agustus
Publisher : SMA Trensains Muhammadiyah Sragen

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Fuel is an energy requirement that is needed by society. The increase in population is directly proportional to the consumption of fossil fuels. Therefore, one way to overcome the problem of fossil energy consumption is to develop alternative renewable energy sources. Potential renewable alternative energy is plantation and industrial waste, which currently has not been utilized optimally. Coffee is one of the most important commodities in the national economy. Apart from that, coffee has fans in terms of consumption. The amount of coffee consumed is directly proportional to the increase in coffee skin waste. Coffee skin itself has a high calorific value, so it is very good if processed into briquettes. This research aims to find out how to make briquettes using coffee skin waste. The research method used is a qualitative descriptive method with a focus on making briquettes from coffee skins. The data collection method is carried out by observation. The data that has been obtained is analyzed using descriptive methods. The tests carried out in this research included organoleptic tests, density tests, ash content tests, and combustion rate tests. Based on the tests that have been carried out, this research has succeeded in identifying the effectiveness of coffee husk briquettes as an alternative fuel in the context of utilizing coffee husk waste.
Implementasi Surah Al-Hasyr dengan Algoritma Dijkstra dalam Menentukan Rute Terpendek pada Perencanaan Distribusi Beras di Jawa Tengah Azka Najmira Fauzi; Aria Hana Fazila; Asma Adibah Mawla; Arifin Aji Nugroho; Yesi Yuliani
Jurnal Integrasi Sains dan Quran Vol 4 No 01 (2025): Februari
Publisher : SMA Trensains Muhammadiyah Sragen

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Central Java is the second largest rice-producing province in Indonesia. However, it is unfortunate that the rice yield cannot be maximally utilized by the province itself. This is because more rice is distributed to Jakarta than to Central Java, causing the province to experience a prolonged deficit since 2022. This problem affected the price of rice in Central Java, which experienced inflation because Central Java residents had to buy rice from Jakarta. This unequal distribution is also not in accordance with QS. Al-Hasyr (59): 7, which instructs to distribute wealth equally, so that it does not circulate among the rich only. The purpose of this research is to apply Dijkstra's Algorithm in determining the shortest route in rice distribution planning in Central Java. The data in the research used is secondary data obtained through Google Maps and Google Earth. Then, the data is compiled into a weighted graph which is processed by Dijkstra's Algorithm with the help of a program in Wolfram Mathematica software. The results obtained are the shortest route from the starting point to the cities in Central Java. The results obtained can be used as a reference by rice producers in Central Java, so that the distribution of rice in the province is more efficient both in terms of costs and routes, and more equitable.
Analisis Potensi Energi Biomassa dari Limbah Sekam Padi Menggunakan Model Stokastik (Monte-Carlo) untuk Mendukung Ketahanan Energi dalam Upaya RPJPN Indonesia Altamis Ahnaf Esalka; Rasyid Putra Ariyani; Arifin Aji Nugroho; Agus Widayoko
Jurnal Integrasi Sains dan Quran Vol 5 No 01 (2026): Februari
Publisher : SMA Trensains Muhammadiyah Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64477/501540-550

Abstract

Indonesia generates a large amount of rice-based agricultural residues, particularly rice husk, which contains lignocellulosic compounds and a calorific value of 13–15 MJ/kg, making it a potential alternative energy source. However, estimating biomass energy potential is challenged by uncertainties in production variability, residue ratios, calorific values, and conversion efficiency. To address this issue, this study aims to estimate the potential energy production from rice husk biomass as a contribution to Indonesia’s renewable energy transition within the 2025–2045 National Long-Term Development Plan (RPJPN). A stochastic Monte-Carlo simulation was applied using secondary data on national rice production, residue-to-product ratio, calorific value, and conversion efficiency. A total of 100,000 random iterations were conducted to obtain probabilistic estimates of energy potential. The results indicate that rice husk biomass can generate an average of 103.64 TWh, with a critical point of 40.04 TWh and an optimum value of 213.21 TWh. Compared to Indonesia’s projected 2045 electricity consumption, rice husk biomass contributes 10.34%–58.3% toward the RPJPN renewable energy target. These findings demonstrate that rice husk biomass holds significant potential to support national energy resilience and the transition toward a sustainable energy mix.
Model Regresi Logistik Biner Terintegrasi Risk Scoring untuk Prediksi Risiko Kanker Payudara pada Siswi SMA Trensains Muhammadiyah Sragen Aisha Zahra Khairunnisa; Feodora Callysta Ashar; Arifin Aji Nugroho; Susanti Rahayu
Jurnal Integrasi Sains dan Quran Vol 5 No 02 (2026): JISQu
Publisher : SMA Trensains Muhammadiyah Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64477/502615-626

Abstract

Breast cancer is a health problem that can begin to be influenced from adolescence. This study aims to analyze the effects of body mass index (BMI), age at menarche, and family history on breast cancer risk among female students at SMA Trensains Muhammadiyah Sragen, while also integrating binary logistic regression results into a risk-scoring system for early screening purposes. The study used a cross-sectional analytic survey design with 122 students who had experienced menarche, selected through purposive and stratified random sampling. The analysis included bivariate tests, binary logistic regression, and ROC curve evaluation. Only BMI showed a significant relationship with breast cancer risk (χ² = 27.4; p < 0.001). The logistic regression model was significant (χ² = 35.2; p < 0.001) with an AUC of 1.00, although affected by perfect separation. The regression coefficients were then converted into a risk-scoring system that preserved the data-separation pattern. The scoring system produced an AUC of 1.00 with a cut-off of 2.5; a total of 118 students (96.7%) were classified as low risk and 4 students (3.3%) as high risk. This integration produces a simple screening tool that can be used for health education and early risk detection among adolescent girls. Keywords: BMI, menarche, breast cancer risk, logistic regression, risk scoring. Abstrak Kanker payudara merupakan masalah kesehatan yang dapat mulai dipengaruhi sejak masa remaja. Penelitian ini bertujuan menganalisis pengaruh indeks massa tubuh (IMT), usia menarche, dan riwayat keluarga terhadap risiko kanker payudara pada siswi SMA Trensains Muhammadiyah Sragen, sekaligus mengintegrasikan hasil regresi logistik biner ke dalam sistem risk scoring untuk keperluan skrining dini. Penelitian menggunakan desain survei analitik potong lintang dengan sampel 122 siswi yang telah mengalami menarche, dipilih melalui purposive dan stratified random sampling. Analisis mencakup uji bivariat, regresi logistik biner, dan kurva ROC. Hanya IMT yang menunjukkan hubungan signifikan dengan risiko kanker payudara (χ² = 27,4; p < 0,001). Model regresi logistik signifikan (χ² = 35,2; p < 0,001) dengan AUC = 1,00, meskipun dipengaruhi perfect separation. Koefisien regresi kemudian dikonversi menjadi sistem risk scoring yang mempertahankan pola pemisahan data. Sistem skor menghasilkan AUC = 1,00 dengan titik potong 2,5; sebanyak 118 siswi (96,7%) tergolong risiko rendah dan 4 siswi (3,3%) risiko tinggi. Integrasi ini menghasilkan instrumen skrining sederhana yang dapat digunakan untuk edukasi kesehatan dan deteksi risiko awal pada remaja putri.
Potensi Pelepah Pisang (Musa paradisiaca) dan Ampas Tebu (Saccharum officinarum) dalam Pembuatan Biofilm sebagai Alternatif Kemasan Ramah Lingkungan Aira Mahya Zuhaira; Aira Sastra Madinah; Arifin Aji Nugroho; Susanti Rahayu
Jurnal Integrasi Sains dan Quran Vol 5 No 02 (2026): JISQu
Publisher : SMA Trensains Muhammadiyah Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64477/502643-650

Abstract

In an effort to reduce dependence on synthetic plastics and curb environmental pollution, the use of organic waste as raw material for bioplastics has become an innovative solution. One potential alternative is the production of environmentally friendly biofilms from bagasse and banana peels, both of which contain cellulose and lignin as the main components for film formation. This study aims to create and test the characteristics of biofilms based on bagasse and banana peels, as well as to determine their level of biodegradability. The research method uses a descriptive experimental approach, with the stages of biofilm production involving mixing, heating, and drying. The tests include folding resistance, biodegradability, and organoleptic tests. The results showed that the biofilm had a folding resistance of 65 times, a biodegradability level of 90% from an initial weight of 11 grams to 1.1 grams, and organoleptic characteristics of a clear brownish color, a distinctive sugarcane aroma, and a flexible but slightly rough texture. Based on these results, the biofilm from sugarcane bagasse and banana leaves has proven potential as an environmentally friendly packaging material that is easily degradable and supports efforts to reduce plastic waste.
Co-Authors Agus Widayoko Ahmad Yasser Aulia Tanjung Aira Mahya Zuhaira Aira Sastra Madinah Aisha Zahra Khairunnisa Altamis Ahnaf Esalka Aria Hana Fazila Asma Adibah Mawla Azka Najmira Fauzi Feodora Callysta Ashar Muhammad Azhar Aziz Rafi Zahid Santoso Rafidani Elfirdaus Rasyid Putra Ariyani Susanti Rahayu Yesi Yuliani