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All Journal Abjadia, International Journal of Education Jurnal Sains Matematika dan Statistika Desimal: Jurnal Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Airman MAESTRO Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Buguh: Jurnal Pengabdian Kepada Masyarakat Journal of Mathematics: Theory and Applications EDULIA: English Education, Linguistic and Art Journal Tsaqofah: Jurnal Penelitian Guru Indonesia
Sutrisno, Agus
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SOLUTION OF FULLY FUZZY NONLINEAR EQUATION SYSTEMS USING GENETIC ALGORITHM Fatimatuzzahra, Fatimatuzzahra; Nuryaman, Aang; Zakaria, La; Sutrisno, Agus
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp1169-1178

Abstract

A system of nonlinear equations is a collection of several interrelated non-linear equations. Currently, systems of nonlinear equations are used not only on crisp but also on fuzzy numbers. A fuzzy number is an ordered pair function that has a degree of membership [0,1]. Meanwhile, a fully fuzzy system of equations is a system of equations that applies fuzzy number arithmetic operations. The solution of non-linear equation systems is usually complicated to solve analytically, so numerical methods are used as an alternative to solve these problems. In this research, the steps to find the solution of nonlinear fully fuzzy equation systems using genetic algorithms are studied, which in the solution process is based on the theory of evolution and natural selection. The solution steps taken are first converting the fully fuzzy system of equations into a system of crisp equations, next constructing the system of strict equations as a multi-objective optimization problem, and lastly solving the optimization problem using a genetic algorithm which includes initialization, evaluation, selection, crossover, and mutation. As illustrations, several cases of nonlinear fully fuzzy and dual fully fuzzy systems of equations on triangular fuzzy numbers and trapezoidal fuzzy numbers are given. The approximate solutions obtained using genetic algorithms produce solutions that are close to their analytic solutions.
Converting Corn Cobs into Briquettes in Braja Harjosari Village, Braja Salebah Subdistrict, East Lampung Regency Sutrisno, Agus; Zakaria, La; Aziz, Dorrah; Nisa, Khoirin
Jurnal Pengabdian Kepada Masyarakat (JPKM) TABIKPUN Vol. 6 No. 2 (2025)
Publisher : Faculty of Mathematics and Natural Sciences - Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpkmt.v6i2.164

Abstract

Corn cobs are agricultural waste that can be processed into an alternative firewood. Carbonization (pyrolysis) followed by briquetting is one method to process biomass into solid charcoal. According to a survey conducted, the large amount of corn cob waste is due to a lack of knowledge in processing waste which causes health and environmental problems. Converting corn cob waste into briquettes transforms it into a valuable commodity. In fact, transforming corn cob waste is essentially applying the zero waste concept to agricultural production systems. Based on potential and agreements with farmer groups, community members, and local government, this service activity was carried out. The productivity of the briquette charcoal business made from corn waste is increased through training and assistance.
Penerapan Metode Association Rule Menggunakan Algoritma Fp-Growth dan Eclat pada Pola Konsumsi Masyarakat Perkotaan di Indonesia ansyah, Aldi; Setiawan, Eri; Sutrisno, Agus
Jurnal Sains Matematika dan Statistika Vol 10, No 2 (2024): JSMS Juli 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v10i2.20703

Abstract

Pola konsumsi masyarakat di Indonesia merupakan salah satu tolak ukur dalam menentukan indeks perekonomian masyarakat Indonesia. Daya konsumsi masyarakat Indonesia memiliki kontribusi yang sangat penting dalam kenaikan indeks perekonomian di Indonesia.  Dengan melihat faktor yang dapat menentukan pola konsumsi masyarakat Indonesia, pola konsumsi mampu mempertahankan daya konsumsi masyarakat.  Dalam penelitian ini akan dilakukan pencarian pola konsumsi masyarakat perkotaan di Indonesia menggunakan dua algoritma untuk mendapatkan algortima terbaik yang memiliki nilai support, confidence dan rule terbesar, yaitu FP-Growth dan Eclat.  Hasil yang diperoleh digunakan untuk melihat pola konsumsi masyarakat perkotaan di Indonesia.  Nilai support dan confidence terbesar dihasilkan oleh algoritma Eclat sebesar 10% dan 100% dengan rule sebanyak 15 dan pola terbaik yang dihasilkan adalah masyarakat yang mengkonsumsi makanan berdasarkan faktor agama adalah masyarakat yang berusia diantara 30 dan 50 tahun. Kata Kunci:  Association Rule, FP-Growth, Eclat, Support, dan Confidence.
Improving Islamic Religious Education Teachers’ Pedagogical Competence Through Educational Technology Training: A Case Study in Surakarta Madrasah Sutrisno, Agus; Fatimah, Meti
Abjadia : International Journal of Education Vol 10, No 4 (2025): Abjadia
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/abj.v10i4.37155

Abstract

This study aims to describe the experiences of Islamic Religious Education teachers in implementing educational technology after participating in training. The research employed a descriptive qualitative approach, utilising data collection techniques that included observation, interviews, and documentation. The results indicate that educational technology training has a significant impact on improving the competency of Islamic Religious Education teachers. First, teachers become more skilled and confident in utilising digital media, such as interactive PowerPoint, Canva, Google Classroom, YouTube, Kahoot, and Google Forms, to present material in a varied and engaging way. Second, teachers are able to integrate technology into their lesson plans in a structured manner, resulting in more innovative and effective learning strategies. Third, the use of technology has been shown to increase student participation, foster creativity, and strengthen collaboration in learning activities. These findings indicate that educational technology training not only improves teachers' technical skills but also shifts the learning paradigm to become more modern, interactive, and student-centred.
Perceraian dalam Perspektif Psikologi Pendidikan Islam Hadiwijaya, Lalu Firman; Sutrisno, Agus; Rokhimatun, Siti
TSAQOFAH Vol 5 No 5 (2025): SEPTEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v5i5.6880

Abstract

Divorce is a social and psychological event that significantly impacts child development, particularly in terms of morality, emotional well-being, and academic performance. From an Islamic perspective, divorce is permitted as a last resort after all forms of mediation and reconciliation have failed. Islamic educational psychology views divorce as a serious challenge to character development, as children affected by divorce are at risk of identity crises, learning difficulties, and behavioral problems. This study aims to analyze the impact of divorce on children from the perspective of Islamic educational psychology and emphasizes the importance of a comprehensive approach based on Islamic values such as tawhid, akhlaq, patience, and tawakkul in the post-divorce parenting process. The method used is a literature review, examining relevant verses of the Qur’an, hadith, and theories of Islamic educational psychology. The findings indicate that the synergy between parents, teachers, schools, and the broader community plays a crucial role in fostering children's mental and spiritual resilience, enabling them to grow and develop optimally even in the context of a non-intact family.
Analysis of Population Growth in Central Lampung Regency Using Exponential and Logistic Models with GRG Parameter Optimization and Model Performance Evaluation Al Mahkya, Prana; Sutrisno, Agus; Zakaria, La
Desimal: Jurnal Matematika Vol. 9 No. 2 (2026): Desimal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v9i2.31153

Abstract

Accurate regional population projection is essential for development planning, infrastructure allocation, public service provision, and long-term resource management. This study analyzes population growth in Central Lampung Regency, Indonesia, by comparing exponential and logistic growth models supported by Generalized Reduced Gradient (GRG) parameter optimization and integrated model performance evaluation. Annual population data from 2016 to 2025 were obtained from official statistics, with 2016 defined as the base year. The exponential model was formulated under the assumption of unlimited proportional growth, whereas the logistic model incorporated a carrying capacity of 2,000,000 people as a modeling assumption to represent bounded demographic growth. The growth-rate parameter was optimized by minimizing Mean Absolute Percentage Error (MAPE), and model performance was evaluated using MAPE, Mean Absolute Error (MAE), and Root Mean Square Error (RMSE). Robustness analysis, direct parameter sensitivity analysis, and paired t-test were also conducted to examine parameter stability and statistical differences between model errors. The results show that the population increased from 1,250,486 people in 2016 to 1,541,429 people in 2025, with a marked structural rise around 2020. Both models achieved very accurate performance, with MAPE values below 10%. However, the logistic model produced slightly lower errors, with MAPE of 2.3227%, MAE of 31,760.57 people, and RMSE of 40,705.66 people. Robustness and sensitivity analyses confirmed stable parameter behavior in both models. The paired t-test indicated no statistically significant difference between their errors. Thus, the logistic model is recommended as the more conceptually appropriate framework for long-term regional population projection.
Co-Authors Aang Nuryaman Agus Susanto Agus Triyogo Al Mahkya, Prana Anshory, Muhammad Isa ansyah, Aldi Azis, Dorrah Azis, Muhamad Abdul Aziz, Dorrah Chabib, Mudzakir Dwi Intan Septiana Eri Setiawan Fatimatuzzahra Fatimatuzzahra Fiani, Ani Hadiwijaya, Lalu Firman Kediangan, Ilham Vanka Agustiawan Khoir, Mulyanto Abdullah Khoirin Nisa Meti Fatimah Muhamad Prima Renaldi Muhammad Luthfi Mujiburahman, Mujiburahman Nur Rohmad Dwi Harsono Peby Wahyu Purnawan Rahmawati Eka Widya Putri Ranie Adelia Islamia Kaloko Rokhimatun, Siti Saidi, Subian Siti Sangadah Willyam Christian Wiwik Handayani Yulqowin, Ilma Zakaria, La