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Al-Aqlu : Jurnal Matematika, Teknik dan Sains
Published by Yayasan Al-Amin Qalbu
ISSN : -     EISSN : 29854369     DOI : https://doi.org/10.59896/aqlu.v1i2
Core Subject : Science, Education, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Engineering Mathematics
Al-Aqlu : Jurnal Matematika, Teknik dan Sains (e-ISSN:2985-4369) merupakan wadah bagi para peneliti, akademisi dan praktisi untuk mempublikasikan karya ilmiah dalam bidang matematika, teknik dan sains
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 57 Documents
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FORMULASI DAN EVALUASI SEDIAAN SABUN PADAT DENGAN VARIASI KONSENTRASI EKSTRAK DAUN SAGA (ABRUS PRECATORIUS L.): Formulation And Evaluation Of Solid Soap Preparations With Concentrations Of Saga Leaf Extract (Abrus Precatorius L.) Natasya, Elvara; Putri P, Amanda Amelia; Afikasari, Dhian; Cahyaningsih, Seftiani; Fajar, Yusuf
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.116

Abstract

Saga leaves (Abrus Precatorius L.) are vines that originate from India. The leaves of the saga plant are known to be effective in treating diarrhea, tonsillitis, ulcers and hemorrhoids. The presence of secondary metabolite compounds which include saponins, flavanoids, alkaloids and steroids have antibacterial potential. The ain of this research is to find out how to make solid soap using saga leaf extract and evaluate the test results after making solid soap with saga leaf extract to determine the quality of the saga leaf extract solid soap preparation. The research method used was an experimental method with variations of saga leaf extract in three formulas, namely F1 1.5%, F2 2.5%, and F3 3.5%. the results showed that the solid soap was homogenous, in F1 it was yellow, F2 was mustard yellow, F3 was greenish yellow, had a typical vanilla odor, had a semi-solid texture, the average pH test results were respectively F1 11.59 ± 0.03, F2 11.81 ± 0.02, and F3 11.85 ± 0.01, average foam height test results F1 6.3 cm  ± 0.41 cm, F2 6.4 cm  ± 0.40 cm, F3 6.1 cm  ± 0.17 cm, average water content test results for F1 50.46%  ± 0.20%, F2 48.35%  ± 0.19%, and F3 45.55%  ± 0.24 %. Based on data analysis, if the test results show normal and homogeneous then the one-way the Kruskal-Wallis test can be continued. It is known that variations in the concentration of saga leaf extract have a significant effect on the organoleptic test, homogenity test, foam height test but not significantly on the pH test and water content test
PREDIKSI INDEKS PERFORMA SISWA BERDASARKAN WAKTU BELAJAR, NILAI SEBELUMNYA, KEGIATAN EKSTRAKURIKULER, WAKTU TIDUR, DAN BANYAKNYA SOAL YANG DIKERJAKAN DENGAN REGRESI LINEAR KUADRAT-TERKECIL: Prediction of Student Performance Index Based on Hours Studied, Previous Scores, Extracurricular Activities, Sleep Hours, and Sample Question Papers Practiced with Least-Squares Linear Regression Handoyo, Sapto Mukti; Najib, Mohamad Khoirun
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.121

Abstract

The students’ performance index is a measure used to represent the overall performance of students. One model that can be used to predict the students’ performance index is a machine learning-based regression model. Therefore, this study aims to apply a machine learning-based least-squares linear regression model to predict the performance index using these factors and interpret the model. The regression model utilized is available in the Julia programming package called MLJ. This model is evaluated based on several criteria, including R-squared, RMSE, and MAE. The results show that the previous scores have the most significant influence on the students’ performance index. Furthermore, the R-squared value for the test data is 0.988, the RMSE for the training data is 0.106, the RMSE for the test data is 0.108, the MAE for the training data is 0.84, and the MAE for the test data is 0.86. Based on the evaluation results, the model has good predictive performance with low average error, does not experience overfitting, and has good generalization ability.
DETERMINASI FAKTOR SOSIAL-EKONOMI TERHADAP FASILITAS PENDIDIKAN MENGGUNAKAN PEMODELAN LOGISTIK ORDINAL DI DESA TUNTUNGAN: Determination Of Socio-Economic Factors On Educational Facilities Using Ordinal Logistic Mideling In Tuntungan Village Maulana, Putri Jehan; Luthfiyah, Farica; Citra, Indah Tribuana; Siregar, Anisa Hafizah
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.129

Abstract

The purpose of this study was to use an ordinal logistic regression model to analyze socioeconomic factors in children's educational institutions in Tuntungan village. This study collected primary data on family economic status (high, medium and low categories) and social environment (very supportive, supportive, less supportive and non-supportive categories) from 100 respondents. The results of the analysis show that families' economic status significantly affects the quality of education facilities for their children, with families with higher economic status having better access compared to families with medium and low economic status. In addition, although not as large as economic position, socio-ecological status is also important. The resulting logit model shows that economic variables have a greater influence on the quality of children's educational institutions compared to social variables. This study emphasizes the importance of improving the local economy to expand access to high-quality education
A SYSTEMATIC LITERATURE REVIEW: PENERAPAN TEORI PERMAINAN DALAM STRATEGI PROMOSI UNTUK MENGOPTIMALKAN PENJUALAN PRODUK: Systematic Literature Review: Application Of Game Theory In Promotional Strategies To Optimize Product Sales Nasution, Afifah Nabila; Rambe, Ahmadsyah Fauzian; Fitriani, Fitriani; Nasution, Lilis Suryani; Nasution, Sarmila Fitri Yanti; Sastika, Weni; Ginting, Siti Salamah Br
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.132

Abstract

The relevance of Game Theory in promotional strategies is increasing in today's digital era, where information spreads rapidly and competition is increasingly intense. Companies need to consider various factors, including changing consumer preferences, dynamic competitor strategies, and fluctuating market trends. Game Theory provides a strong foundation for this strategic analysis, and enables companies to make more informed and precise decisions. To study further, the researcher used the Systematic Literature Review Method by using a literature review that involves the process of identification, assessment, evaluation, and interpretation in detailing the findings of various relevant studies. This data analysis was carried out to develop an understanding of game theory in product promotion strategies. And based on the results of the analysis of the 20 articles discussed, it turns out that the Application of Game Theory in Promotion Strategies to optimize product sales has a significant impact on sales of a product. Thus, it can be concluded that game theory can be used as a tool in decision making for companies.
TRANSFORMASI FOURIER, LANGSUNG, RIETVELD: PENENTUAN STRUKTUR KRISTAL OPTIMAL SEBAGAI MATERIAL PERTAHANAN: Fourier Transform, Direct, Rietveld: Determination Of Optimal Crystal Structure As Defense Material Sianipar, Alexcandro; Talalu, Lidya Ananda; Aritonang, Sovian
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.139

Abstract

Determining the optimal crystal structure is essential in the development of defense materials, as its crystal structure influences the physical and mechanical properties of a material. This study employs a mathematical approach to analyze crystal structures through three primary methods: Fourier Transformation, Direct Methods, and the Rietveld method. Fourier Transformation enables the analysis of diffraction data generated by the interaction of X-rays with atoms in a crystal, converting it into electron distribution to identify atomic positions. The Direct Method utilizes probabilistic phase relationships to accurately estimate atomic positions, even when diffraction data is incomplete. The Rietveld method, based on optimization, refines the crystal structure model by comparing experimental diffraction data with simulated results, minimizing differences between them. The analysis results show that the combination of these three methods effectively determines the optimal crystal structure. The implementation of these techniques is expected to support the selection of superior materials for defense applications
OPTIMASI JALUR PERJALANAN ANTARA JAKARTA DAN SURABAYA MENGGUNAKAN ALGORITMA DIJKSTRA: Optimizing Travel Routes Between Jakarta and Surabaya Using the Dijkstra Algorithm Rahmadi, Deddy; Putri, Tarisha Najwa; Ilmi, Derrida Atsmarotul; Rohmah, Sinta Miftakhul; Safinka, Dela Nuraini
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.140

Abstract

The Dijkstra algorithm is a popular method for determining the shortest path in a positively weighted graph and is widely used in various applications such as navigation systems and computer networks. This study analyzes the effectiveness of the Dijkstra algorithm in finding the shortest route between cities in Indonesia, using an example application between Jakarta and Surabaya. Each city is represented as a node and each road as an edge in the graph, with distance or travel time as the weight. The implementation is carried out in Python, using secondary data comprising 20 cities. The results indicate that the Dijkstra algorithm is capable of determining the shortest path between two cities, with the shortest distance found being 664.08 km between Jakarta and Surabaya. This study highlights the importance of optimizing the Dijkstra algorithm for greater efficiency in large networks, as well as its broad applications for improving efficiency in various fields, including transportation and computer networks.
PERAMALAN EKSPOR MIGAS BERBASIS EKSTRAPOLASI POLINOMIAL CHEBYSHEV: Forecasting of Oil and Gas Exports Based on Chebyshev Polynomial Extrapolation Sabina, Sabna Zulfaa; Rahmi, Dhea Wasila; Awwaliyah, Razma Rizqiyyah; Robbaniyyah, Nuzla Af’idatur; Rusadi, Tri Maryono
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.141

Abstract

Exports play a strategic role in supporting the country's revenue. The oil and gas sector, as one of Indonesia's primary natural resources, contributes significantly to national economic growth. Indonesia's oil and gas production currently exhibits an unstable trend, influenced by the dynamics of global prices and demand. This research aims to forecast Indonesia's oil and gas export volume in 2025 using the Chebyshev extrapolation method. The Chebyshev extrapolation method is chosen due to its ability to produce more accurate predictions for data outside the available time range. The data used includes monthly export volumes of the oil and gas sector from 2019 to 2024. In the analysis, a fourth-degree Chebyshev polynomial is applied to project future export trends. The Mean Absolute Percentage Error (MAPE) for the Chebyshev extrapolation model is 12,10%. The forecasting results indicate an increase in monthly oil and gas exports in 2025, with the lowest value recorded in January at 1.373,70 and the peak export in December at 1.805,33. Overall, this prediction indicates the stability of oil and gas export volumes with a tendency towards an increasing trend compared to the previous year.
ANALISIS DEBIT RANCANGAN MENGGUNAKAN METODE HASPERS PADA DAS BABAK KABUPATEN LOMBOK TENGAH: Design Discharge Analysis Using The Haspers Method In The Babak District Of Central Lombok District Wicaksana, I Gede Arya; Yamin, Muhamad; Aminullah, Aminullah; Dharma S., Bagus Widhi; Ahadi, Giatma Dwijuna; Winardi, Agus
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.131

Abstract

The Babak River Watershed is located in Tanah Beak Village and borders directly with Bagu Village, Pringgarata District, Central Lombok Regency, which is one of the areas where river flooding and drainage systems often occur. In the analysis, the method used is to collect rainfall data and river watershed (DAS) data, the data is analyzed using the Normal method, Normal log, Person Type III log and Gumbel method, then calculate the design discharge PMP value, after the calculation is carried out, the discharge is obtained. design in the Babak river basin using the Haspers method for each 2 year return period the discharge is = 55966.851 m3/sec, 5 year return period the discharge is = 58655.999 m3/sec, 10 year return period the discharge is = 60437 .904 m3/sec, 20 year return period debit of = 62125.576 m3/sec, 25 year return period debit of = 62687.966 m3/sec, 50 year return period debit of = 64356.591 m3/sec, return period 100 years of discharge is = 66027.221 m3/sec. Meanwhile, the maximum rainfall value that may occur, the PMP value is obtained = 967.256 mm.
PREDIKSI JUMLAH PRODUKSI JAGUNG DI NUSA TENGGARA BARAT MENGGUNAKAN METODE LEAST SQUARE: Prediction of Corn Production in West Nusa Tenggara Using the Least Square Method Ramadhan, Fitrah; Abdullah, Umar; Uluwi, Ahmad Ihsan; Robbaniyyah, Nuzla Af'idatur; Rusadi, Tri Maryono
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.142

Abstract

Maize production is one of the main components of food in agriculture in West Nusa Tenggara (NTB) with a significant contribution to national production. However, maize production in NTB often fluctuates due to weather conditions, climate, market prices, government policies, land area, resource availability, and access to technology and information. The aims of the research is to determine the prediction of corn production in NTB for 2024-2026. This research uses the least square method to predict maize production based on historical data trends, which allows for more accurate planning. Previous studies have shown that this method is effective in producing accurate predictions for various agricultural commodities. The results are expected to provide predictions that can be used by the government and farmers for better production planning and risk mitigation, and become a reference for the development of prediction techniques in agriculture
EKSPLORASI STUDI WISATA RELIGI: ETNOMATEMATIKA PADA MAHA VIHARA MAITREYA DI CEMARA ASRI MEDAN: Exploration of Religious Tourism Studies: Ethnomathematics at the Maitreya Maha Vihara in Cemara Asri Medan Rahmah, Atika; Salsabila, Avita; Nasution, Afifah Nabila; Ningsih, Sri Rahayu; Syahrani, Zulayli; Andhany, Ella
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.143

Abstract

Mahavihara Maitreya in Cemara Asri Medan Complex is one of the largest monasteries in Indonesia and is known as a religious tourism destination that can attract tourists from various backgrounds to see and understand the richness of typical Buddhist architecture. The study of ethnomathematics at Maha Vihara Maitreya can provide benefits, both for academics, tourists, and the general public who want to understand the relationship between mathematics, culture, and spirituality. The research method used in this study is a qualitative method with an ethnographic approach. This type of research is field research, namely research that is carried out systematically to collect data directly in the field. The data collection instrument in this study is by means of observation and documentation. The conclusion based on the results and discussion, this study shows that the exploration of religious tourism and ethnomathematics at Maha Vihara Maitreya not only provides a new perspective in the study of mathematics, but also enriches the understanding of the ways in which culture and religion integrate science in their lives, which in turn increases the educational value and tourism experience for visitors.

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