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All Journal Epsilon: Jurnal Matematika Murni dan Terapan AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA AKSIOMA: Jurnal Program Studi Pendidikan Matematika AKSIOMA E-Dimas: Jurnal Pengabdian kepada Masyarakat Juring (Journal for Research in Mathematics Learning) SJME (Supremum Journal of Mathematics Education) Jurnal Cendekia : Jurnal Pendidikan Matematika ComTech: Computer, Mathematics and Engineering Applications FIBONACCI: Jurnal Pendidikan Matematika dan Matematika AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT JPMI (Jurnal Pembelajaran Matematika Inovatif) PHI: Jurnal Pendidikan Matematika Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Jurnal Penelitian Fisika dan Terapannya (JUPITER) Range : Jurnal Pendidikan Matematika Journal of Didactic Mathematics Mosharafa: Jurnal Pendidikan Matematika Community Education Engagement Journal Kognitif: Jurnal Riset HOTS Pendidikan Matematika Jurnal Matematika Integratif Jurnal Pengabdian Masyarakat dan Riset Pendidikan Kanigara Jurnal Pendidikan MIPA SJME (Supremum Journal of Mathematics Education) Scientific Contributions Oil and Gas International Journal of Computing Science and Applied Mathematics-IJCSAM
Agus Dahlia
Universitas Islam Riau
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Pengembangan Bahan Ajar E-Modul Matematika Berbantuan Flip Pdf Professional pada Materi Peluang Kelas VIII SMP M, Fesi Meliana; Herlina, Sari; Suripah, Suripah; Dahlia, Agus
SJME (Supremum Journal of Mathematics Education) Vol 6 No 1 (2022): Supremum Journal of Mahematics Education
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Singaperbangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sjme.v6i1.5712

Abstract

Penelitian ini bertujuan untuk mengembangkan bahan ajar matematika berupa e-modul dengan bantuan flip pdf professional pada materi peluang kelas VIII SMP yang teruji kevalidan dan kepraktisannya. Jenis penelitian pengembangan menggunakan model ADDIE yang terdiri dari 5 tahap, yaitu tahap analisis, desain, pengembangan, implementasi, dan evaluasi. Instrumen penelitian yang digunakan adalah lembar validasi dengan teknik pengumpulan data menggunakan skala Likert dan skala Guttman serta angket respon siswa menggunakan skala Likert. Subjek uji coba terbatas pada kelompok kecil terdiri dari 12 siswa kelas VIII SMP. E-Modul divalidasi oleh tiga validator. Data validasi dan data kepraktisan dianalisis dengan cara menentukan rata-rata dari setiap penilaian. Hasil penelitian menunjukkan bahwa (1) penilaian e-modul pada aspek kelayakan penyajian menggunakan skala Guttman diperoleh rata-rata sebesar 100% dengan kritera sangat valid serta pada aspek media, materi, dan bahasa menggunakan skala Likert diperoleh rata-rata 86,11% dengan kriteria sangat valid. (2) Hasil uji kepraktisan berdasarkan penilaian siswa pada angket respon siswa diperoleh rata-rata 95,39% dengan kriteria sangat praktis. Dengan demikian, dapat disimpulkan bahwa bahan ajar e-modul matematika berbantuan flip pdf professional pada materi peluang kelas VIII SMP teruji kepraktisan dan kevalidannya.
Determining The Role of Ion Exchange in Permeability Alteration During Asp Injection: A Laboratory-Scale Study Using Cmg Reactive Transport Modeling Dike Fitriansyah Putra; Mohd Zaidi Jaafar; Tengku Amran Tengku Mohd; Novia Rita; Agus Dahlia; Ichsan Al Sabah Lukman; M. Haidar T. Putra
Scientific Contributions Oil and Gas Vol 48 No 2 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i2.1744

Abstract

Electrokinetic-based Enhanced Oil Recovery (EK-EOR) presents a novel method that applies electric fields to mobilize trapped hydrocarbons in formations with low permeability. This work investigates the impact of ion exchange and mineralogical reactions on permeability behavior during Alkali-Surfactant-Polymer (ASP) flooding, integrating laboratory-scale sand-pack experiments with reactive transport simulation in CMG-GEM. During ASP injection, a marked rise in differential pressure indicated abrupt changes in permeability caused by polymer accumulation, mineral dissolution, and early-stage ion exchange. Two numerical scenarios were assessed: one involving only aqueous-phase chemistry, and another incorporating fluid reactions and solid-surface ion exchange. The latter case required minimal calibration to match experimental data, while the former demanded unrealistic permeability upscaling. The results underscore ion exchange as a vital mechanism influencing fluid transport in EK-EOR. Although wettability alteration is often associated with ASP processes, this study suggests that under short exposure periods, changes in permeability dominate recovery performance. The findings improve reservoir modeling by promoting geochemical integration into simulation workflows.
The Integration of Hybrid Capacitance Resistance Model and Machine Learning: A Data-Based Workflow for Optimizing Waterflood Performance and Reservoir Management Syifa Alviola Muhendra; Novia Rita; Fajril Ambia; Agus Dahlia
Scientific Contributions Oil and Gas Vol 48 No 4 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i4.1928

Abstract

This study aims to minimize uncertainty in waterflood performance by employing a data-driven workflow that combines the Capacitance Resistance Model (CRM) with Machine Learning. Two CRM variants, CRM-P (Producer-based) and CRM-IP (Injector-Producer-based), are utilized to evaluate interwell connectivity and time constants on three reservoir models: homogeneous, heterogeneous, and a real field scenario (Volve Field). The model is evaluated using R² and Mean Absolute Percentage Error (MAPE) and is compared against the Random Forest and eXtreme Gradient Boosting (XGBoost) techniques. The results indicate that CRM-IP provides more realistic estimates than CRM-P, particularly for response time. XGBoost consistently demonstrates superior prediction accuracy, achieving R² values of 0.76–0.98 and MAPE values of 0.5–10%. Three-dimensional (3D) visualizations of interwell connectivity and streamline analysis strengthen the understanding of fluid flow and sweep efficiency. This further demonstrates that integrating CRM and Machine Learning serves as a decision-support tool for Enhanced Oil Recovery optimization, as evidenced by R² and MAPE analyses that characterize sweep efficiency and the reservoir's capacity to accommodate additional injection.
Comparative Analysis of Capacitance-Resistance Models and Machine Learning for Co₂-Eor Production Forecasting: A Case Study of Dynamic Connectivity in Heterogeneous Reservoir Reyhan Rafsanjani; Agus Dahlia; Fajril Ambia; Novia Rita; Ayyi Husbani
Scientific Contributions Oil and Gas Vol 48 No 4 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i4.1930

Abstract

This study evaluates an integrated forecasting framework that combines Capacitance-Resistance Models (CRMP and CRMIP) with ensemble machine learning algorithms (Random Forest and XGBoost) to predict CO₂-Enhanced Oil Recovery performance in the heterogeneous Volve Field. Reservoir simulation was performed using tNavigator with CO₂ injection at 941 tons/day (35 MMSCF/day) over 20 years. The results demonstrate the critical influence of CO₂-specific characteristics, with a determined Minimum Miscibility Pressure of 3299.68 psi and a corresponding oil Swelling Factor of 1.19. Machine learning models, particularly XGBoost, significantly outperformed conventional CRM methods, achieving exceptional accuracy (R² = 0.99-1.00, MAPE = 0.44-2.24%) compared to CRMP/CRMIP (R² = 0.55-0.72, MAPE = 16-23%). The CO₂ injection scenario substantially enhanced oil recovery, achieving a cumulative production of 15.73 MMSTB (RF 20.45%) compared to 9.38 MMSTB (RF 12.19%) for waterflooding, representing a 67.7% improvement and incremental recovery of 6.35 MMSTB. Interwell connectivity analysis revealed dynamic reservoir responses with time constants ranging from 916 to 927 days. The integration of physics-based models with non-linear machine learning algorithms significantly improves prediction accuracy while providing comprehensive insights into reservoir dynamics, allowing for optimal CCUS implementation in heterogeneous reservoir systems.
Pemberdayaan Masyarakat Petani Sawit dalam Pengelolaan dan Produksi Pupuk Organik di Desa Batubelah : Pengabdian Muhammad Khairul Afdhol; Tomi Erfando; Rieza Zulrian Aldio; Razif bin Muhammed Nordin; Idham Nugraha; Dewandra Bagus Eka Putra; Novia Rita; Agus Dahlia; Sapitri; Marliati; Rika Lala Saputri; Rusdi Agil Cardova; Reyhan Alfared; Ghoty Hamidah; Rendi Sahputra
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4836

Abstract

Desa Batu Belah merupakan wilayah agraris dengan komoditas utama kelapa sawit yang sebagian besar dikelola oleh petani pemula. Permasalahan utama yang dihadapi mitra adalah rendahnya nilai tambah tandan buah segar (TBS) berukuran kecil, keterbatasan teknologi pasca-panen, ketergantungan pada pupuk kimia, serta lemahnya manajemen usaha dan pemasaran hasil pertanian. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas petani pemula sawit melalui pemberdayaan berbasis teknologi tepat guna dan pendekatan partisipatif. Metode pelaksanaan meliputi sosialisasi, pembuatan dan penerapan alat pembrondol sawit, pelatihan produksi pupuk organik, serta pendampingan manajemen usaha dan pemasaran. Hasil kegiatan menunjukkan peningkatan pengetahuan dan keterampilan petani dalam pengelolaan buah muda sawit, tersedianya satu unit alat pembrondol sawit yang berfungsi, serta kemampuan masyarakat memproduksi pupuk organik secara mandiri. Program ini berkontribusi dalam menyelesaikan permasalahan pada bidang produksi, manajemen usaha, pemasaran, dan sosial kemasyarakatan, serta mendorong peningkatan pendapatan dan kemandirian ekonomi masyarakat Desa Batu Belah.
Determine the Solution of Delay Differential Equations using Runge-Kutta Methods with Cubic-Spline Interpolation Agus Dahlia; Rahma Qudsi
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 9 No. 1 (2023)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper describes some iterations for term delay in Delay Differential Equation (DDE), which is causing a huge number of iteration calculations. Time-delay was approximated using Cubic-Spline Interpolation, so DDE can rewrite as Differential Equations. Then, Runge-Kutta methods have been used to determine the solution of Differential equations from DDE.
Pelatihan Menggunakan Microsoft Excel Untuk Membantu Peserta Didik Dalam Menyelesaikan Masalah Bangun Datar Fase D Di Mts Negeri 7 Desa Kuntu Dahlia, Agus; Qudsi, Rahma; Purnamawati, Neneng; Prasetio, Bagus; Rahmatillah, Putri
Amaliah: Jurnal Pengabdian Kepada Masyarakat Vol 8 No 1 (2024): Amaliah: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPI UMN AL WASHLIYAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32696/ajpkm.v8i1.2573

Abstract

Information technology is inseparable in the development of education, technology can be used as a tool or media to realize the goals of learning. Information technology is also useful as a stimulation of learning so that students can construct their own knowledge through various activities such as: problem solving, reasoning, and communicating (doing math), as a vehicle for training critical and creative thinking. At MTs Negeri 7 Kuntu Village, the utilization of Information Technology has not been done optimally in the process of teaching and learning activities. Information Technology such as Microsoft Excel is needed as additional information on learning technology in the era of the Industrial Revolution 5.0 for teachers and students at MTs. Microsoft Excel can be used as an alternative solution for learning Flat Shapes Mathematics. The Community Service Team aims to conduct training in the use of Microsoft Excel to help students solve math problems in flat shapes. The implementation method in this community service goes through three stages, namely the preparation, implementation and evaluation stages. The results obtained from this community service show that students' understanding of the use of Microsoft Excel in solving phase D flat shapes problems has increased and also increased students' interest and motivation in learning math.
Co-Authors Agrullina, Yoza Alzaber Alzaber Alzaber Alzaber Astri wahyuni Astri Wahyuni Astri Aulia Sthephani ayyi husbani Azni Maziyatul Ilmiyah Bagus Prasetio, Bagus BatuBara, Yosse Andreas Deah Selvi Desy Lestari Dewandra Bagus Eka Putra Dwi Nurriski Yanti Effendi, Leo Adhar Erdawati Nurdin Erdawati Nurdin Fajril Ambia Fesi Meliana Fesi Meliana Fesi Meliana M Fitriana Yolanda Ghoty Hamidah Hayatun Nufus Hayatun Nufus Hayatun Nufus Herlina, Sari Ichsan Al Sabah Lukman Idham Nugraha Indah Rohana Istikomah, Endang Laksono Trisnantoro Lilis Marina Angraini M, Fesi Meliana M. Haidar T. Putra Marliati Marmaini Marmaini Mohd Zaidi Jaafar Muhammad Khairul Afdhol Neneng Purnamawati Nopa Deo Pani Novia Rita Novia Rita Nurdin, Erdawati Nurmahya Dini Nofera Nurmaliza Nurmaliza Nurmaliza, Nurmaliza Putra, Dike Fitriansyah Putri Dwi Setia Ningsih Putri Wahyuni Qudsi, Rahma Rahmatillah, Putri Razif bin Muhammed Nordin Rendi Sahputra Reyhan Alfared Reyhan Rafsanjani Rezi Ariawan Rika Lala Saputri Riska Novia Sari Rusdi Agil Cardova Sapitri Sari Herlina Sari Herlina Sari Herlina Selvi, Deah Sihombing, Sagita Charolina Sindi Amelia Sindi Amelia Sindi Sindi Amelia, Sindi Sri Rezeki Suripah . Suripah Suripah Syarul Ramadhan Syifa Alviola Muhendra Tengku Amran Tengku Mohd Tomi Erfando Yosse Andreas BatuBara Zetriuslita