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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.
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.
The Integration of Hybrid Capacitance Resistance Model and Machine Learning: A Data-Based Workflow for Optimizing Waterflood Performance and Reservoir Management Muhendra, Syifa Alviola; Rita, Novia; Ambia, Fajril; Dahlia, Agus
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 Rafsanjani, Reyhan; Dahlia, Agus; Ambia, Fajril; Rita, Novia; Husbani, Ayyi
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.
Pelatihan Pembentukan Karakter Berorganisasi Bagi Mahasiswa Yolanda, Fitriana; Dahlia, Agus; Nofera, Nurmahya Dini
Community Education Engagement Journal Vol. 1 No. 1 (2019): October
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/ceej.v1i1.3673

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His service aims to improve the knowledge and insight of Gema Kosgoro (Kosgoro Student Movement) Pekanbaru city Tangkerang Labuai Village, Bukit Raya District, Pekanbaru city in organizing and giving opportunities to Gema Kosgoro (Kosgoro Student Movement) Pekanbaru city to be motivated to participate in organizing through training organizational character formation. The target to be achieved is to provide knowledge and insight on the formation of organizational character through training and provide motivation so that students can play an active role in the organization. To achieve these objectives, the number of trainees to play an active role and to provide training materials is to establish organizational character for students
Sosialisasi Pentingnya Mengasah Kemampuan Berpikir Kritis Bagi Guru Matematika di Era VUCA Astri, Astri Wahyuni; zetriuslita, zetriuslita; Suripah, Suripah; Leo, Leo Adhar Effendi; Sindi, Sindi Amelia; Dahlia, Agus Dahlia; Iis, Endang Istikomah; Rezi, Rezi Ariawan
Community Education Engagement Journal Vol. 2 No. 1 (2020): October
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/ceej.v2i1.6052

Abstract

The ability to think critically is very important for mathematics teachers. Therefore, this service activity aims to provide participants with an understanding of the importance of honing critical thinking skills for mathematics teachers. This service was carried out on Tuesday June, 30 2020 and was carried out through the application Zoom Meeting and live YouTube Mathematics Education FKIP UIR. The method used in the implementation of this community service activity is the percentage method to convey material, the question and answer method and the discussion method. The instrument used was a percentage of service material slides. The results of this service activity can be said to be quite good. This can be seen from the responses of teachers who begin to understand the importance of critical thinking skills. This service activity has the benefit of making the teacher more eager to hone their critical thinking skills so that they can do better and be useful for students.
Pelatihan Pengembangan Perangkat Rencana Pelaksanaan Pembelajaran (RPP) bagi Guru-Guru di Pekanbaru Angraini, Lilis Marina; Wahyuni, Putri; Astri Wahyuni; Dahlia, Agus; Abdurrahman, Abdurrahman; Alzaber, Alzaber
Community Education Engagement Journal Vol. 2 No. 2 (2021): April
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/ceej.v2i2.6665

Abstract

Pengabdian ini dilatarbelakangi oleh pentingnya pemahaman tentang sebuah perangkat pembelajaran bagi guru-guru sebagai pendidik yang profesional. Pemahaman yang baik tentang sebuah perangkat akan menjadikan pembelajaran semakin menarik. Untuk membentuk pembelajaran yang menarik banyak hal yang bisa dilakukan guru, salah satunya menyusun perangkat pembelajaran yang menarik yaitu Rencana Pelaksanaan Pembelajaran (RPP). Namun kenyataan dilapangan sering sekali guru mengalami kendala dalam penyusunan RPP. Terbentuknya pelatihan tentang pengembangan perangkat RPP bagi guru-guru di Pekanbaru ini diharapkan mampu meminimalisir kendala-kendala yang dialami guru dalam menyusun RPP di sekolah. Adapun tujuan pengabdian ini adalah untuk memberikan pengetahuan dan pemahaman tentang pembuatan serta perangkat RPP bagi guru-guru di Pekanbaru. Hasil yang diperoleh dari pengabdian ini bahwa terlihat motivasi guru-guru untuk mengasah kemampuan kemampuan dalam mengembangkan perangkat pembelajaran khususnya RPP sangat tinggi, hal ini ditandai dengan aktifnya guru-guru dalam bertanya dan saat mengikuti teknis pengerjaan RPP.
Co-Authors Abdurahman Abdurrahman Agrullina, Yoza Alzaber Alzaber Alzaber Alzaber Alzaber, Alzaber Ambia, Fajril Astri wahyuni Astri Wahyuni Astri Astri, Astri Wahyuni Aulia Sthephani Azni Maziyatul Ilmiyah Bagus Prasetio, Bagus BatuBara, Yosse Andreas Deah Selvi Desy Lestari Dewandra Bagus Eka Putra Dwi Nurriski Yanti Dwi Setia Ningsih, Putri Effendi, Leo Adhar Erdawati Nurdin Erdawati Nurdin Fesi Meliana Fesi Meliana Fesi Meliana M Fitriana Yolanda Ghoty Hamidah Hayatun Nufus Hayatun Nufus Hayatun Nufus Herlina, Sari Husbani, Ayyi Ichsan Al Sabah Lukman Idham Nugraha Iis, Endang Istikomah 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 Muhendra, Syifa Alviola Neneng Purnamawati Nofera, Nurmahya Dini Nopa Deo Pani Novia Rita Novia Rita Novia Rita Nurdin, Erdawati Nurmahya Dini Nofera Nurmaliza Nurmaliza Nurmaliza, Nurmaliza Putra, Dike Fitriansyah Putri Dwi Setia Ningsih PUTRI WAHYUNI Putri Wahyuni Qudsi, Rahma Rafsanjani, Reyhan Rahmatillah, Putri Razif bin Muhammed Nordin Rendi Sahputra Reyhan Alfared Rezi Ariawan Rezi Ariawan Rezi, 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 Sindi, Sindi Amelia Sri Rezeki Suripah . Suripah Suripah Syarul Ramadhan Tengku Amran Tengku Mohd Tomi Erfando Yolanda, Fitriana Yosse Andreas BatuBara Zetriuslita