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All Journal JURNAL PIJAR Jurnal Ulul Albab JTAM (Jurnal Teori dan Aplikasi Matematika) Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan JCES (Journal of Character Education Society) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Mandalika Mathematics and Educations Journal Contemporary Mathematics and Applications (ConMathA) Griya Journal of Mathematics Education and Application Jurnal Pijar MIPA Penamas: Journal of Community Service Pattimura Proceeding : Conference of Science and Technology Jurnal Matematika Integratif Integra: Journal of Integrated Mathematics and Computer Science Media Pendidikan Matematika Indonesian Journal of STEM Education E-Jurnal Matematika
Yunita Septriana Anwar
Program Studi Pendidikan Matematika Universitas Muhammadiyah Mataram
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Membangun kompetensi menulis ilmiah siswa MA sebagai fondasi literasi akademik di perguruan tinggi Syaharuddin Syaharuddin; Vera Mandailina; Abdillah Abdillah; Mahsup Mahsup; Sirajuddin Sirajuddin; Yunita Septriana Anwar
Penamas: Journal of Community Service Vol. 6 No. 2 (2026): Penamas: Journal of Community Service
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/penamas.v6i2.3170

Abstract

The low level of scientific writing skills among high school students poses a challenge in building academic literacy readiness for college. This community service program aims to improve the scientific writing competencies of students at MA Nurul Islam Plus through outreach, training, technology-based mentoring, as well as evaluation and monitoring. The implementation method uses a participatory approach with a student-centered learning model that positions students as active participants in the learning process. The results of the activities demonstrate an improvement in students’ understanding of the basic structure of scientific papers, idea development, and the more systematic use of academic language. Program evaluation yielded an average response score of 77.29, indicating a positive category. The highest indicator was in the understanding of the use of Artificial Intelligence (AI) in scientific writing, while the lowest indicator was in the IMRAD structure, particularly the results and discussion sections. Although there were variations in ability among students, intensive mentoring was able to gradually improve scientific writing skills. Overall, this program effectively strengthened students’ academic literacy as a foundation for readiness to meet the demands of higher education. Literacy-strengthening programs based on mentoring and digital technology need to be continued on an ongoing basis within the madrasah environment.
Analisis Komparatif Algoritma Cipher Hill, Cipher Vigenère, dan Cipher Caesar pada Proses Enkripsi dan Dekripsi Data Teks Yunita Septriana Anwar; Rizki Azis Al Kautsar
Mandalika Mathematics and Educations Journal Vol 8 No 2 (2026): Edisi Juni
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v8i2.12682

Abstract

Classical cryptography is one of the information security methods that employs message transformation techniques to preserve data confidentiality. Several widely used classical cryptographic algorithms are the Caesar Cipher, Vigenère Cipher, and Hill Cipher, each of which has distinct encryption mechanisms and security levels. This study aims to analyze the characteristics, advantages, and limitations of these three algorithms and to compare their encryption and decryption processes. The results indicate that the Caesar Cipher is the simplest and easiest algorithm to implement; however, it provides a low level of security due to its vulnerability to frequency analysis attacks. The Vigenère Cipher offers a higher level of security through its polyalphabetic substitution mechanism, although it remains susceptible to cryptanalysis when the key pattern and length can be estimated. The Hill Cipher provides an even higher level of security by employing polygraphic substitution based on matrix operations, resulting in better diffusion and a larger key space. Nevertheless, its implementation is relatively more complex and requires the use of a key matrix that is invertible modulo a given integer.
IMPLEMENTATION ON DIFFERENTIAL EQUATION OF MILNE-SIMPSON FOR PREDICTION FOR APPARENT POWER USAGE IN PLN (PERSERO) UIW NTB FITRAH RAMADHAN; RIO SATRIYANTARA; YUNITA SEPTRIANA ANWAR; I GEDE ADHITYA WISNU WARDHANA
E-Jurnal Matematika Vol. 15 No. 3 (2026)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2026.v15.i03.p509

Abstract

Electricity is one of the essential forms of energy required by humans in modern society. Consequently, the demand for electricity supply will continue to increase over time. Irregular or fluctuating electricity consumption can affect the readiness of power generation units to provide an adequate supply of electricity to consumers or the public. By predicting apparent power (VA), power companies can optimize generation efficiency, ensure grid stability, and reduce losses. This study applies the logistic equation model using annual apparent power usage data obtained from PT PLN (Persero) UIW NTB for the 2011–2024 period. The model parameters (growth rate r and carrying capacity K) were estimated directly from the historical data, and the differential equation was solved numerically using the Milne-Simpson method with initial values generated by the fourth-order Runge-Kutta approach. The logistic model is chosen for its ability to represent nonlinear growth toward a saturation capacity. Simulation results show a gradually increasing trend in VA usage that slows down as it approaches the saturation phase around 2030. Model validation, performed by comparing the numerical predictions with the actual historical data, shows very small relative errors ranging from 10⁻⁵ to 10⁻⁷, confirming that the Milne-Simpson method possesses high accuracy and stability.
Predicting Customer Numbers at PT PLN (Persero) West Nusa Tenggara Regional Main Unit Using the Prophet Time Series Model Rida Alkausar Hardi; Rio Satriyantara; Yunita Septriana Anwar; I Gede Adhitya Wisnu Wardhana
Contemporary Mathematics and Applications (ConMathA) Vol. 8 No. 2 (2026)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v8i2.88166

Abstract

Electricity is a fundamental need for modern society, and in developing regions such as West Nusa Tenggara, the continuous growth in the number of customers requires PT PLN (Persero) to conduct effective resource planning to prevent potential energy crises. This study aims to predict the growth of PLN’s customer numbers using the Facebook Prophet time series model. A quantitative approach was applied using monthly customer data from PT PLN (Persero) covering the period from January 2019 to December 2024. The model was optimized through a hyperparameter tuning process, and its performance was evaluated using the Mean Absolute Percentage Error (MAPE) metric. The results demonstrate that the optimized model achieved a MAPE of 0.27% during cross-validation. Analysis of the results indicates that the model effectively captured long-term growth trends and seasonal fluctuations. These findings suggest that the Prophet model can serve as a technical reference for forecasting customer numbers, potentially supporting strategic decision-making and resource allocation at PT PLN (Persero).
Co-Authors Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Adelia, Lisa Ahmad Faisol Ahmad Febrian Rusdiansyah Apriliani, Nova Baidowi Baidowi Baidowi Baidowi1 Budi Surodjo Dewi Kartika Sari Dewi Pramita Dewi Pramita Farapatana, Elsa FITRAH RAMADHAN Fitriani I Gede Adhitya Wisnu Wardhana Indah Emilia Wijayanti Islahudin Ketut Sarjana Kurniati Kurniati Lalu Muhammad Zaufir Munawir Laranisa, Sri Mahsup Mahsup Muzili, Sukron NURUL HIKMAH PRABHADIKA, I PUTU YUDI Putri Andriani Rida Alkausar Hardi Rio Satriyantara Rizki Azis Al Kautsar Rizki, Heru Tri Novi Rizki, Heru Tri Novi Sirajuddin Sirajuddin Sirajuddin Sirajuddin Sirajudin Sirajudin Sri Wahyuni Sripatmi ., Sripatmi Sripatmi Sripatmi Sripatmi Sripatmi Suhaedi, Saefudin Suhaedi, Saefudin Syaharuddin Syaharuddin Trisnawati, Evi Vera Mandailina, Vera