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All Journal JPMS (Jurnal Pendidikan Matematika dan Sains) dCartesian: Jurnal Matematika dan Aplikasi Jurnal Ilmu Dasar Jurnal Gaussian CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Karya Pendidikan Matematika Jurnal Daya Matematis PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika AKSIOMA HISTOGRAM: Jurnal Pendidikan Matematika Al Ishlah Jurnal Pendidikan JURNAL PENDIDIKAN GLASSER BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics Laplace : Jurnal Pendidikan Matematika Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) ESTIMASI: Journal of Statistics and Its Application Jurnal Statistika dan Aplikasinya Jambura Journal of Mathematics Education JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Dikmas: Jurnal Pendidikan Masyarakat dan Pengabdian Jurnal Kolaboratif Sains MATHunesa: Jurnal Ilmiah Matematika Sanitasi: Jurnal Kesehatan Lingkungan Research in the Mathematical and Natural Sciences Research Review: Jurnal Ilmiah Multidisiplin Jurnal Riset Mahasiswa Matematika Journal of Mathematics, Computation and Statistics (JMATHCOS) d'Cartesian: Jurnal Matematika dan Aplikasi Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa KAMBIK : Journal of Mathematics Education Indonesian Journal of Computational and Applied Mathematics Jurnal Didaktik Matematika
Ismail Djakaria
Universitas Negeri Gorotalo
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Integrasi Teknologi dalam Pendidikan Matematika: Wawasan dari Tinjauan Literatur Sistematik: TECHNOLOGY INTEGRATION IN MATHEMATICS EDUCATION: INSIGHTS FROM A SYSTEMATIC LITERATURE REVIEW Muhammad Fathurrahman; Putri Dini Retno Pratiwi; Marice Awairaro; Nazmi Al-lahmadi; Salima Silayar; Ismail Djakaria
KAMBIK: Journal of Mathematics Education Vol. 2 No. 1 (2024): Volume 2 Number 1 (2024)
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/jme.v2i1.3405

Abstract

This research aims to conduct a systematic literature review to uncover research trends related to Technology and Mathematics. The research method applied in this study is the Preferred Reporting Items for Systematic Reviews, using 3,812 scholarly articles from the Dimensions database. Article reviews were performed using the VOSviewer application. The results of the studyof reveal that main trends in the "Technology" and "Mathematics" themes over the past five years have focused on the development and integration of technology in the context of mathematics learning. Furthermore, the dominant research issues and themes in this study revolve around the development of learning processes applied by teachers utilizing technology. Relevant research themes for further investigation in relation to "Technology" and "Mathematics" include the integration of technology in mathematics education not only transforming the way we teach and learn but also influencing how curricula are designed, how teachers are trained, and how educational research is approached, all with the aim of creating a more effective, inclusive, and engaging learning experience. The findings of this research contribute to the development of a research roadmap on "Technology" and "Mathematics." The limitation of this study is that the articles used come from the Dimensions database, restricting the scope of the data. Future research is recommended to use articles from databases other than Dimensions, such as the Directory of Open Access Journals (DOAJ), Dimensions, and Google Scholar.
INTEGRASI TEKNOLOGI DAN KURIKULUM DALAM PENDIDIKAN: ANALISIS TREN DAN INOVASI TERKINI: INTEGRATION OF TECHNOLOGY AND CURRICULUM IN EDUCATION: AN ANALYSIS OF RECENT TRENDS AND INNOVATIONS Fathurrahman, Muhammad; Ismail Djakaria; Sarira, Regina Amelia
KAMBIK: Journal of Mathematics Education Vol. 2 No. 2 (2024): Volume 2 Number 2 (2024)
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/jme.v2i2.3911

Abstract

This bibliometric analysis investigates trends in publications linking "technology" with "curriculum" over the past five years, focusing on how technology is integrated into the educational curriculum. Utilizing the Dimensions database and VOSviewer visualization tool, this study successfully identified four main clusters: theoretical concepts, practical implementation, technological innovations, and health education. The research findings indicate a need for a curriculum that is flexible and comprehensive and effectively prepares students with academic knowledge, practical skills, and technological abilities to navigate an uncertain future. Moreover, this study highlights the significance of collaboration between educational institutions and the industry sector to maintain the curriculum's relevance to the changing needs of the global job market and ensure students acquire the necessary skills to succeed.
Implementation of Fuzzy Time Series Markov Chain Method using Kernel Smoothing in forecasting the Stock Price of PT. Elnusa Tbk. Mokodompit, Marcela; Nasib, Salmun K; Djakaria, Ismail; Yahya, Nisky Imansyah; Hasan, Isran K.
Indonesian Journal of Computational and Applied Mathematics Vol. 1 No. 1: February 2025
Publisher : Gammarise Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64182/indocam.v1i1.9

Abstract

This research aims to apply the Fuzzy Time Series Markov Chain combined with Kernel Smoothing in forecasting stock prices. The Kernel Smoothing technique is used to smooth stock data before the fuzzification process, resulting in more accurate predictions. The research stages include Data Smoothing, Fuzzy interval formation, Fuzzy Logical Relationship and Fuzzy Logical Relationship Group formation, and forecasting using Markov Chain Transition Matrix. Evaluation using MAPE shows a low prediction error rate, with a value of 0.005974257%, so this method is effective for volatile stock data. The implementation of this model is expected to be a reference for investors and analysts in understanding and predicting future stock price movements.
A Mathematical Model of the Mud Crab (Scylla Sp.) Involving Cannibalism and Refuge Abubakar, Agung Sucipto; Panigoro, Hasan S.; Djakaria, Ismail; Nuha, Agusyarif Rezka; Hasan, Isran K.; Asriadi, Asriadi
Indonesian Journal of Computational and Applied Mathematics Vol. 1 No. 1: February 2025
Publisher : Gammarise Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64182/indocam.v1i1.12

Abstract

Cannibalism, a common ecological phenomenon in various species, significantly impacts the population dynamics of mud crabs (Scylla sp.). This study develops a mathematical model to analyze the effects of cannibalism and protective refuges on the population sustainability of juvenile and adult mud crabs. The model identifies two equilibrium points: the extinction equilibrium and the coexistence equilibrium. Stability analysis using the Jacobian matrix reveals that the extinction equilibrium is locally asymptotically stable under specific conditions. In contrast, the coexistence equilibrium depends on the transition rate from juvenile to adult crabs and the effectiveness of protective measures. Numerical simulations demonstrate that increasing the transition rate and implementing higher levels of refuge protection mitigate the adverse effects of cannibalism, enhancing population stability. These findings provide a quantitative foundation for sustainable fisheries management and conservation strategies for mud crab populations in mangrove ecosystems.
Development of Adventure Multimedia Game Based on Mobile Learning in Pyramid Topic for Junior High School Ismail Djakaria; Ukhti Nurfajriah Sasmita Ijonu; Sumarno Ismail
Didaktik Matematika Vol 8, No 2 (2021): Jurnal Didaktik Matematika
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jdm.v8i2.21973

Abstract

Mathematics is a difficult subject for students, causing low motivation, interest and student learning outcomes. To attract students to be more interested in learning mathematics, they must use interactive learning media so that learning is not boring and fun. This study aims to develop a multimedia adventure game in pyramid topic based on mobile learning in grade eight. This study uses the 4-D development model, however, at the stage of dissemination only limited distribution is carried out. The subjects in this study were grade eight students of one of junior school in Gorontalo District, Gorontalo Province, Indonesia. The results of the study based on the validation of topic and media experts showed that the quality of multimedia was good. Meanwhile, based on the teacher's ability for managerial to learn is also categorized as good, the activities of students during the learning process reach the ideal time criteria, the responses of all students are classified as very positive of 90.56% and learning tests show that 72.5% of students achieve completeness. This shows that the adventure multimedia game based on mobile learning in pyramid topic is valid, practise, and effective.
DESKRIPSI HASIL BELAJAR SISWA DITINJAU DARI KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA Kartin Usman; Ismail Djakaria; Salmiaty Hasan
Jurnal Karya Pendidikan Matematika Vol 8, No 1 (2021): Jurnal Karya Pendidikan Matematika Volume 8 Nomor 1 Tahun 2021
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jkpm.8.1.2021.13-17

Abstract

This study describes students' mathematics learning outcomes in terms of their problem-solving abilities in rectangular material. The research was conducted at SMP Negeri 1 Suwawa in the odd semester of 2019/2020, with 22 students as research subjects. The research instrument used an essay test to measure students 'mathematics learning outcomes and interviews to obtain further information regarding students' mathematics learning outcomes. The indicators used to determine students' mathematics learning outcomes in terms of problem-solving abilities are 1) the ability to understand the problem; 2) the ability to plan problems; 3) problem-solving skills; 4) recheck ability. The results showed that the percentage of completeness of students' mathematics learning outcomes with high problem-solving abilities was 18.18%, the percentage of students' mathematics learning outcomes completeness with moderate problem-solving abilities was 68.18%, and the percentage of students' mathematics learning outcomes completeness with low problem-solving abilities was 68.18%. 13.64%.
Dinamika Populas Kepiting Bakau (Scylla serrata) dengan Mempertimbangkan Sifat Kanibalisme Randy Ferdiansyah; Ismail Djakaria; Agusyarif Rezka Nuha
Research Review: Jurnal Ilmiah Multidisiplin Vol. 4 No. 2 (2025): Research Review: Jurnal Ilmiah Multidisiplin (Agustus 2025 - Januari 2026)
Publisher : Transbahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54923/researchreview.v4i2.242

Abstract

This study examines the population dynamics of mud crabs (Scylla serrata) by incorporating the biological phenomenon of cannibalism into a mathematical model. The model considers the mud crab population as consisting of two age classes, namely juvenile mud crabs and adult mud crabs. The formulation produces two equilibrium points: the extinction equilibrium E0 = (0,0), which represents the disappearance of the entire population, and the coexistence equilibrium E∗ = (CJ∗,CA∗), which indicates the persistence of both juveniles and adults. Stability analysis shows that the extinction point E0 is asymptotically stable if  α < µ2/r - µ while the coexistence point E∗ remains stable when the intrinsic growth rate α lies within the interval α > α1 and α < α2. These results emphasize that the long-term survival of the population depends on critical biological parameters. Numerical simulations further support the analytical findings by demonstrating that the abundance of mud crabs is highly sensitive to variations in growth rate, competition intensity, and predation levels. In particular, an increase in cannibalistic behavior significantly alters the balance between juvenile and adult populations, potentially leading to population decline if not moderated. The findings of this study provide useful insights into the ecological dynamics of Scylla serrata, which is a species of high economic and ecological importance in mangrove ecosystems. Furthermore, the integration of mathematical modeling and numerical simulation offers a valuable framework for understanding complex interactions in aquatic populations and may serve as a reference for sustainable management strategies in mud crab fisheries.
Analisis spasial prevalensi Tuberculosis di Indonesia tahun 2023 menggunakan metode geographically weighted Kurniawan Kurniawan; Ismail Djakaria; A. Fahmi Indrayani; Frans Mitran Ajami
Sanitasi: Jurnal Kesehatan Lingkungan Vol. 19 No. 1 (2026): February 2026
Publisher : Poltekkes Kemenkes Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29238/sanitasi.v19i1.3060

Abstract

Tuberkulosis (TB) masih menjadi tantangan kesehatan masyarakat utama di Indonesia dengan tingkat prevalensi yang bervariasi antar kabupaten/kota. Penelitian ini menerapkan metode Geographically Weighted Regression (GWR) dengan kernel Adaptive Gaussian untuk mengeksplorasi pola spasial dan mengidentifikasi asosiasi statistik antara prevalensi TB dan faktor sosio-demografis pada tahun 2023. Data yang digunakan merupakan data sekunder resmi dari Badan Pusat Statistik dan Dinas Kesehatan Provinsi yang mencakup 514 kabupaten/kota di seluruh Indonesia. Hasil analisis menunjukkan bahwa model GWR memiliki kinerja sangat baik berdasarkan uji kebaikan model dengan nilai R² sebesar 0,9345, yang berarti mampu menjelaskan 93,45% variasi prevalensi TB secara spasial. Faktor-faktor yang berpengaruh signifikan berbeda di tiap wilayah, meliputi tingkat kemiskinan, kepadatan penduduk, proporsi perokok usia 35–44 tahun, prevalensi HIV/AIDS, dan jumlah tenaga medis. Sesuai desain penelitian observasional, studi ini difokuskan untuk mengkaji hubungan atau asosiasi, bukan kausalitas. Evaluasi menggunakan regresi Kuadrat Terkecil Biasa (OLS) dilakukan hanya untuk menilai performa model dan mendeteksi heterogenitas spasial tanpa dimaksudkan membandingkan efektivitas metode analisis lainnya. Temuan penelitian menegaskan pentingnya pendekekatan berbasis wilayah dalam memahami faktor risiko TB serta memberikan bukti empiris bagi pemerintah dalam merancang strategi pengendalian TB yang lebih tepat sasaran. Hasil penelitian ini diharapkan dapat mendukung penguatan kebijakan kesehatan nasional berbasis data lokal dan menjadi referensi dalam perencanaan intervensi program TB yang lebih terarah, efektif, dan kontekstual di Indonesia.   Abstract: Tuberculosis (TB) remains a major public health challenge in Indonesia, with varying prevalence rates across districts/cities. This study applied the Geographically Weighted Regression (GWR) method with an Adaptive Gaussian kernel to explore spatial patterns and identify statistical associations between TB prevalence and socio-demographic factors in 2023. The data used were official secondary data from the Central Statistics Agency and Provincial Health Offices covering 514 districts/cities throughout Indonesia. The analysis results showed that the GWR model performed very well based on the model goodness-of-fit test with an R² value of 0.9345, which means it was able to explain 93.45% of the spatial variation in TB prevalence. The factors that had a significant effect differed in each region, including poverty levels, population density, the proportion of smokers aged 35–44 years, HIV/AIDS prevalence, and the number of medical personnel. In accordance with the observational research design, this study focused on examining relationships or associations, not causality. The evaluation using Ordinary Least Squares (OLS) regression was conducted only to assess model performance and detect spatial heterogeneity, without the intention of comparing the effectiveness of other analysis methods. The findings of this study emphasise the importance of a region-based approach in understanding TB risk factors and provide empirical evidence for the government in designing more targeted TB control strategies. The results of this study are expected to support the strengthening of national health policies based on local data and serve as a reference for more targeted, effective, and contextual TB programme intervention planning in Indonesia.
Improving Mathematics Learning Outcomes in Systems of Linear Equations in Two Variables Using the Problem-Based Learning Model Rahmat Rahmat; Ismail Djakaria; Novianita Achmad
Research in the Mathematical and Natural Sciences Vol. 5 No. 2 (2026): May-October 2026
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v5i2.319

Abstract

This study aims to improve students' mathematics learning outcomes on Systems of Linear Equations in Two Variables (SLETV) through the implementation of the Problem-Based Learning (PBL) model. This type of research is Classroom Action Research (CAR) conducted at SMP Negeri 1 Suwawa during the even semester of the 2024/2025 academic year, with 31 eighth-grade students (class VIII-B) as subjects. The research took place in a single cycle consisting of four meetings (three learning process meetings and one final test meeting). The instruments used included Lesson Plans, Student Worksheets, observation sheets for teacher and student activities, and learning achievement tests. Observation results indicated that the percentage of teacher activity in the "good" and "very good" categories increased from 63.6% in Meeting 1 to 90.9% in Meeting 3, with an overall average of 75.7%. The percentage of student activity in the "good" and "very good" categories increased from 59.1% in Meeting 1 to 90.9% in Meeting 3, with an overall average of 77.2%. Learning test results showed that among the 25 students who took the evaluation, 19 students achieved mastery (76%), thereby meeting the established classical success indicator (>= 75%). Thus, the application of the PBL model is effective in improving students' mathematics learning outcomes on SLETV.
Analisis Kesalahan Siswa dalam Menyelesaikan Soal Cerita SPLDV Berdasarkan Tahapan Polya: Studi Kasus di SMP Negeri 7 Gorontalo Moh. Rifky Monoarfa; Ismail Djakaria; Auli Irfah
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 8 No. 4 (2025): Volume 8 Nomor 4 Tahun 2025
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v8i4.7086

Abstract

Banyak bentuk kesalahan siswa dalam menyelesaikan soal cerita matematika pada materi sistem persamaan linier dua variabel berdasarkan tahapan polya. Penelitian ini bertujuan untuk menganalisis bentuk-bentuk kesalahan siswa dalam menyelesaikan soal cerita matematika pada materi sistem persamaan linier dua variabel berdasarkan tahapan polya di SMP Negeri 7 Gorontalo pada semester genap tahun ajaran 2024/2025.  Data dalam penelitian ini adalah data primer berupa hasil pekerjaan siswa dalam menyelesaikan soal cerita SPLDV dan hasil wawancara untuk menggali lebih dalam proses berpikir mereka berdasarkan tahapan Polya. Penelitian ini menggunakan metode deskriptif dengan pendekatan kualitatif. Hasil penelitian ini menunjukan bahwa siswa sering menghadapi tantangan dalam mengikuti tahapan penyelesaian masalah matematika pada soal cerita. Peneliti menganalisis data hasil pekerjaan siswa berdasarkan kesalahan yang dilakukan dalam menyelesaikan soal cerita matematika sesuai empat tahapan pemecahan masalah menurut Polya, yaitu memahami masalah, merencanakan penyelesaian, melaksanakan rencana penyelesaian, dan mengecek kembali. Peneliti mengkategorikan setiap jawaban siswa ke dalam jenis kesalahan sesuai dengan indikator yang telah ditetapkan. Selain itu, peneliti menggunakan data hasil wawancara sebagai data pendukung untuk memperkuat hasil analisis kesalahan berdasarkan jawaban tertulis siswa. Data hasil wawancara tersebut dianalisis melalui beberapa tahap, kemudian dikelompokkan sesuai dengan empat tahapan Polya untuk memastikan bahwa jenis kesalahan yang dilakukan siswa dapat teridentifikasi sesuai indikator kesalahan yang digunakan dalam penelitian. Kesalahan terbesar terjadi pada tahap melaksanakan rencana, sementara tahap memahami masalah dan memeriksa jawaban juga tidak kalah penting untuk diperhatikan dalam perbaikan pembelajaran.
Co-Authors A. Fahmi Indrayani Abubakar, Agung Sucipto Agustina, Melisa Agusyarif Rezka Nuha Alamri, Fahima Alis Suleman Amalia Tatu Amanda Adityaningrum Armayani Arsal Armin Haluti Arsiullahnur R. Paputungan Arwildayanto, Arwildayanto Asriadi Asriadi Auli Irfah Boby Rantow Payu Caicy Magelo Demas Novaleda Abdul Karim Dewi Rahmawati Isa Dewi Rahmawaty Isa Djibran, Fahrudin Djihad Wungguli Evi Hulukati Fakhira Modeong Fatmawati Payopo Fenly B Mohamad Fitra Reza Dj Wares Franky Alfrits Oroh Frans Mitran Ajami Gaib, Muhammad Bachtiar Hamila Hulihulis Hamza B Uno HARIYATI H. USMAN Haryati Octaviani Bempah Hasan S. Panigoro Hasan, Irsan K. Hasan, Riyanto HASIRU, LISA SYAHRIA Hendra Andrianto Yusuf Herlina Jusuf Isran K Hasan Iyohu, Lisa Rianti Jackonias Sanadi Jenny Patricia Ayu Kai K. Hasan, Isran Karmila Mokoginta Kartin Usman Kurniawan Kurniawan La Ode Nashar La Ode Nashar Ladjali, Nurjana Namko Ladjali, Sri Indriani Lailany Yahya Madonsa, Muhammad Rifai Mahajani, Roy Mahmud, Sri Lestari Majid Majid Majid, Majid Marice Awairaro Mentari Rizki Sawitri Pilomonu Miranti H. Kasim Moh. Rifai Katili Moh. Rifky Monoarfa Mohamad Rivaldi Moha Mokodompit, Marcela Muhaimin Kodai Muhammad Fathurrahman Muhammad Fathurrahman Muhammad Rezky F. Payu Muhammad Rezky Friesta Payu Nazmi Al-lahmadi Ningsih, Setia NISKY IMANSYAH YAHYA Nosva Adam Yunus Novianita Achmad Novianty Djapri Nurhayati Abbas Nursiya Bito Pakaya, Debyyansa Perry Zakaria POMALINGO, DEWI ZULYANI Putri Dini Retno Pratiwi Rahmat Rahmat Rahmi Moh. Amin Randy Ferdiansyah Resmawan Resmawan Ria Kilala Safrudin Ismail Salima Silayar Salmiaty Hasan Salmun K. Nasib Sarira, Regina Amelia Sartika Husain Sianne Sarif siswanto, Navira Siti Nurmardia Abdussamad Sitra Kalauw Sri Endang Saleh Sri Haryatmi Kartiko Sri Lestari Mahmud Suhardiman Darson Tamu Sumarno Ismail suryo Guritno Swasti Maharani Syafrudin Katili Syafrudin, Marisa Syamsu Qomar Badu Trieke Nurfadilah Harun Ukhti Nurfajriah Sasmita Ijonu Ulopo, Asrul S WA SALMI WD Rifqah Amalliah Ndangi Yamin Ismail Yenni Sauli Yunus, Silvani Yusuf, Hendra Andrianto Zulkifli Alamtaha