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All Journal Statistika Jurnal Peluang Proceedings of Annual International Conference Syiah Kuala University - Social Sciences Chapter Jurnal Gaussian Jurnal Pengajaran MIPA Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Pengajaran Matematika dan Ilmu Pengetahuan Alam Jurnal Riset Pendidikan Matematika Jurnal Elemen Eduma : Mathematics Education Learning and Teaching Jurnal Informatika Upgris Jurnal Penelitian Pendidikan IPA (JPPIPA) Numeracy : Jurnal Ilmiah Pendidikan Matematika International Journal for Educational and Vocational Studies JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) ESTIMASI: Journal of Statistics and Its Application Journal of Applied Data Sciences Narra J International Journal of Education and Digital Learning (IJEDL) Jurnal Natural Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) Heca Journal of Applied Sciences Journal of Educational Management and Learning Infolitika Journal of Data Science PESARE: Science and Engineering Service Journal Jurnal Didaktik Matematika
Muhammad Subianto
Department Of Statistics, Faculty Of Mathematics And Natural Science, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
Agriculture, Biological Sciences & Forestry 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Other

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A Convolutional Neural Network Model for Mushroom Toxicity Recognition Irvanizam, Irvanizam; Subianto, Muhammad; Jamil, Muhammad Salsabila
Infolitika Journal of Data Science Vol. 3 No. 2 (2025): November 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijds.v3i2.359

Abstract

Mushroom poisoning remains a public health concern, often caused by misidentifying toxic species that visually resemble edible ones. This study investigates the feasibility of using a Convolutional Neural Network (CNN) to classify five mushroom species, Amanita caesarea, Amanita phalloides, Cantharellus cibarius, Omphalotus olearius, and Volvariella volvacea into toxic and non-toxic categories based on image data. A dataset of 137 images was collected and preprocessed through resizing, normalization, and data augmentation. A modified AlexNet-based CNN was trained and evaluated using accuracy, precision, recall, and F1-score. The best-performing model achieved a validation accuracy of 0.40, indicating limited discriminative capability. These findings highlight that the dataset size is insufficient for training a CNN from scratch and that the model cannot reliably distinguish species with subtle morphological differences. The study concludes that larger datasets, improved image quality, and transfer learning approaches are essential for achieving practical and deployable mushroom classification performance.
Mathematical Connection Ability through the Application of the AIR (Auditory Intellectualy Repetition) Learning Model Assisted by Geogebra Software Mardhiah, Ainal; Ikhsan, M.; Subianto, Muhammad
International Journal of Education and Digital Learning (IJEDL) Vol. 1 No. 4 (2023): International Journal of Education and Digital Learning (IJEDL)
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijedl.v1i4.21

Abstract

expected model scan fosters students' mathematical connection skills, namely through the application of the AIR (Auditory Intellectual Repetition) model assisted by geogebra software. The purpose of this study was to determine differences in students' mathematical connection abilities after obtaining learning by applying the AIR (Auditory Intellectual Repetition) model assisted by geogebra software. This study used a quantitative approach with a pre-test and post-test control group design. The population of this study was class IX students of SMPN 1 Peukan Pidie by taking samples of two classes consisting of an experimental class and a control class. The sample selection was done by random sampling. The instrument used is a mathematical connection ability test. The data analysis technique uses the ANOVA test. Based on the results of the study, it was found that there were differences in the mathematical connection abilities of students who were taught through the application of the AIR (Auditory Intellectual Repetition) model assisted by geogebra software with conventional learning. Furthermore, the results of this study also identified that there was no interaction between learning and student level on students' mathematical connection abilities.
Kemampuan Berpikir Kreatif Siswa SMP melalui Model Problem Based Learning Rika Siviani; Cut Morina Zubainur; Muhammad Subianto
Didaktik Matematika Vol 5, No 1 (2018): Jurnal Didaktik Matematika
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jdm.v5i1.10125

Abstract

Creative thinking ability of students is still low and less attention in the implementation of the learning of mathematics. Some efforts are needed to foster creative thinking ability because of lack of creative thinking ability in the learning of mathematics. One of effort is applying Problem Based Learning (PBL) Model. The purpose of this research was (1) to describe the creative thinking ability of students during the learning process with PBL Model, and (2) to determine the increase of the creative thinking ability of students after implementation of PBL model. This research used mixed methods with concurrent triangulation strategy. Samples were selected by random sampling from all grade 8 students from one of junior high school at Banda Aceh, those were 28 students in class VIII-3. The instrument used to obtain data of the creative thinking ability of students after learning with PBL Model was test and observation. The instrument used to obtain data to determine the increase of the students creative thinking ability after learning with the PBL model were pretest and posttest. Test and observations were analyzed by using an assessment rubric of creative thinking abilities with descriptive qualitative method. The result of pretest and posttest were analyzed by statistical tests using t-test. The results showed that the students were creative in solving problems during the learning process with model of PBL. There was increasing creative thinking abilities of students after learning with PBL Model. The implication of this research indicates that creative thinking abilities of students increase through PBL model.
Identification and Analysis of Potential Breast Anticancer Agents in Pogostemon Cablin through Network Pharmacology Syarifah Fathimah Azzahra; Essy Harnelly; Muhammad Subianto; Wisnu Ananta Kusuma; Widya Sari
Jurnal Penelitian Pendidikan IPA Vol 10 No SpecialIssue (2024): Science Education, Ecotourism, Health Science
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10iSpecialIssue.7049

Abstract

Breast cancer is one of the highest known causes of death in Indonesia, especially for women. Pogostemon cablin Benth is one of the Aceh's endemic herbal plants that has been studied to have potential such as anti-inflammatory, antiproliferative, antioxidant, antimicrobial, and proapoptotic. Network pharmacology approach was conducted to explore and analyze the potential of P. cablin as an anti-breast cancer. P. cablin plant compounds were obtained from GCMS and breast cancer genes data were obtained from OMIM, GeneCard, and DisGeNet databases. Target proteins and pathways involved were identified using STRING-DB and Metascape. Network analysis was performed using Cytoscape. A total of 65 plant compounds with 554 target proteins and 1854 disease genes were obtained. Based on the results of combining protein targets using Venn diagrams, 138 overlapping proteins between drug compounds and breast cancer disease targets were identified. Based on KEGG and GO analysis, P. cablin is known to have potential in breast cancer treatment/therapeutic mechanisms. Based on the "compound-protein target-pathway" multi-target mechanism, pogostol; 1H-Cycloprop[e]azulen-7-ol, decahydro-1,1,7-trimethyl-4-methylene-, [1ar-(1aα,4aα,7β,7aβ,7bα)]-; 3-Hexen-1-ol, 2,5-dimethyl-, acetate, (Z)-, 5β,7βH,10α-Eudesm-11-en-1α-ol; Acetic acid, 3-hydroxy-6-isopropenyl-4,8a-dimethyl 1,2,3,5,6,7,8,8a-octahydronaphthalen-2-yl ester; and Humulenol-II interacts with proteins that play a significant role in breast cancer, which are MAPK1, EGFR, TNF, AKT1, and JAK2. Hence, it can be concluded that P. cablin has good potential to be a source of therapeutic treatment against breast cancer. However, it needs to be tested clinically to further determine the effects of this P. cablin compound.
Design and Development of Website and Android-Based Aceh Biodiversity Applications Muhammad Subianto; Essy Harnelly; Alim Misbullah; Razief Perucha Fauzie Afidh; Fikrul Akhyar; Muhammad Irfan; Wira Dharma; Nazaruddin; Zulfan
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.10535

Abstract

Aceh is an exceptional region in Indonesia characterized by significant biodiversity and abundant natural wealth. Despite these numerous benefits, there is limited information regarding the potential of biodiversity in this region. Therefore, this research aimed to design and develop Website and Android-based applications to facilitate access to information regarding biodiversity in Aceh. In the development process, the Waterfall method was used, and the applications consisted of two main components, namely the back-end and the front-end. The users were divided into three categories, including contributors, verificators, and admins. After the development was complete, functionality testing was conducted using the black box method, and usability was examined using the Post-Study System Usability Questionnaire (PSSUQ). The results of functionality testing showed that both applications operate efficiently, thereby providing users with a satisfying experience when accessing information about Aceh biodiversity. The usability score was approximately 7 for Website-based and 6 for Android-based applications, showing a high level of usability.
Co-Authors . Zulfan Ahmad, Noor Atinah Ainal Mardhiah ALFIAN FUTUHUL HADI Alim Misbullah Almunir Sihotang Asep Rusyana Baehaqi Bagus Sartono Cut Morina Zubainur Cut Mulyawati Cut Rina Rossalina Dwi Fadhiliani Earlia, Nanda Essy Harnelly Essy Harnelly EVI RAMADHANI Farsiah, Laina Fikrul Akhyar Fitriana AR Furqany, Nuwairy El Ghazi Mauer Idroes Hijriyana P., Meildha Hizir Sofyan Husdayanti, Noviana Idroes, Ghalieb Mutig Idroes, Ghazi M. Idroes, Ghifari M. INA YATUL ULYA Indah Manfaati Nur Irnanda , Irnanda, Irnanda Irvanizam, Irvanizam Jamil, Muhammad Salsabila Kairupan, Tara S. Kurniadinur, Kurniadinur M. Ikhsan M. Ikhsan M. Ikhsan Maulana, Aga Miftahuddin Miftahuddin Miftahuddin Miftahuddin Miftahuddin Mikyal Bulqiah, Mikyal Misbullah, Alim Muhammad Al Agani Muhammad Iqbal Muhammad Irfan Mukhamad Najib Mursyida, Waliam Nazaruddin Niode, Nurdjannah Jane Nisya Fajri Noviandy, Teuku R. Nurbaiti Nurbaiti Nurdjannah J. Niode Nurjani Nurjani Nurjannah Nurjannah Nurleila, Nurleila Prakoeswa, Cita RS. Purnama Mulia Farib Rahmah Johar Razief Perucha Fauzie Afidh Razief Perucha Fauzie Afidh Reza Wafdan Rika Fitriani Rika Siviani Rinaldi Idroes Rizal Munadi RR. Ella Evrita Hestiandari S.Pd. M Kes I Ketut Sudiana . Salmawaty Salmawati Salmawaty Salmawaty Sasmita, Novi Reandy sufriani, sufriani Sugara, Dimas Rendy Suhartono Suhendra, Rivansyah Suryadi Suryadi Syarifah Fathimah Azzahra Teuku Rizky Noviandy Tuti Asmiati Vivi Dina Melani Vivi Dina Melani Vivi Dina Melani Widya Sari Wira Dharma Wisnu Ananta Kusuma Yusrizal Yusrizal Zahriah, Zahriah Zainal Abidin Zainal Abidin Zhilalmuhana, Teuku Zulfan