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All Journal Maspari Journal Jurnal Buana Informatika Jurnal Algoritma Kitektro Jurnal Sumberdaya Akuatik Indopasifik JASc (Journal of Agribusiness Sciences) Jurnal Nasional Komputasi dan Teknologi Informasi JOURNAL OF APPLIED LINGUISTICS AND LITERATURE Jurnal Ilmiah Dikdaya Greget Jurnal Sains dan Teknologi Reaksi Jurnal Pembangunan Nagari PHI: Jurnal Pendidikan Matematika Jurnal Bisnis Tani Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Jurnal Ilmiah Wahana Pendidikan Prosiding Konferensi Nasional PKM-CSR Jurnal Ilmu Komputer Jurnal Algoritma Jurnal Teknik Mesin Sinergi Menara Pengabdian Chimica Didactica Acta : Journal of Chemistry and Chemistry Education AMPLITUDO: Journal of Science & Technology Innovation Journal of Aceh Aquatic Sciences Inovasi Sosial: Jurnal Pengabdian Masyarakat Jurnal Pendidikan dan Kewarganegara Indonesia (jupenkei) Edumaspul: Jurnal Pendidikan Jurnal Riset Sosial Humaniora dan Pendidikan Garuda: Jurnal Pendidikan Kewarganegaraan Dan Filsafat
Syahrial Syahrial
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Pelanggaran HAM di Sekolah Rohyana Salmi; Rianta Malau; Anisa Siregar; Syahrial Syahrial
RISOMA : Jurnal Riset Sosial Humaniora dan Pendidikan Vol. 2 No. 3 (2024): Mei : RISOMA : Jurnal Riset Sosial Humaniora dan Pendidikan
Publisher : Asosiasi Ilmuwan Pendidikan, Sosial, dan Humaniora Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/risoma.v2i3.80

Abstract

This article discusses violations of Human Rights (HAM) in the school environment. The school environment must be a place that is safe, inclusive and respectful of individual rights. However, human rights violations continue to occur involving several parties. This article provides an overview of the forms of human rights violations that most often occur in schools as well as the factors that cause these violations and their consequences. In this article, we identify several forms of human rights violations that often occur in schools, including physical violence, verbal abuse, intimidation, sexual harassment, discrimination and inhuman punishment. This research aims to determine various types of human rights violations in schools and their prevention. This research uses qualitative methods that focus on in-depth observations and reviewing literature and case study reports regarding human rights violations in schools. The research results show that human rights violations in schools can take the form of physical violence, verbal abuse, threats, sexual harassment, discrimination and inhuman punishment.
Implementasi Pembelajaran PKn Berbasis Nilai-nilai Pancasila dalam Meningkatkan Sikap Toleransi Siswa Kelas V UPT SD Negeri 064016 Anisa Wildayanty Harahap; Febrianti Putri Siahaan; Khairunnisa Khairunnisa; Yora Marsia Br. S Pandia; Syahrial Syahrial
Garuda: Jurnal Pendidikan Kewarganegaraan Dan Filsafat Vol. 3 No. 2 (2025): Juni: GARUDA: Jurnal Pendidikan Kewarganegaraan dan Filsafat
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/garuda.v3i2.5151

Abstract

This study examines the implementation of Pancasila values-based Civic Education (PKn) learning in enhancing tolerance attitudes among fifth-grade students at UPT SD Negeri 064016. Using a descriptive qualitative approach with a case study design, data were collected through participatory observation, in-depth interviews, document analysis, and tolerance attitude questionnaires involving 28 students. Results indicate that contextual strategies—such as classroom deliberation simulations and collaborative projects based on local wisdom—significantly improved students' tolerance attitudes. Conceptual understanding of diversity increased by 34.5%, empathetic attitudes rose by 29.5%, and inclusive practices grew by 23.7% (composite score +29%, Cohen’s d = 1.45). Key supporting factors included the school’s commitment to integrating Pancasila values into the curriculum and innovative media (e.g., multicultural congklak, AR cultural maps). Primary constraints were limited instructional time and student ability heterogeneity. The study concludes that Pancasila values-based learning models, supported by teacher consistency and active student participation, effectively foster inclusive school environments.
APPLE FRUIT QUALITY DETECTION (GOOD AND ROTTEN) USING THE YOLOV5 METHOD Fathir Adisyar; Mohamad Ilyas Abas; Widya Eka Pranata; Rizal Lamusu; Syahrial Syahrial; Irawan Ibrahim
Jurnal Ilmu Komputer (JUIK) Vol 6, No 1 (2026): February 2026
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/juik.v6i1.5539

Abstract

Fruit quality is an important factor that affects nutritional value, consumption safety, and market value of agricultural products. Apples, as one of the most widely consumed fruits, are prone to quality degradation due to spoilage, which is often difficult to accurately identify through human visual observation. Manual sorting of apples is subjective, time-consuming, and prone to errors. Therefore, this study aims to develop an automatic apple quality detection and classification system using the You Only Look Once version 5 (YOLOv5) deep learning method. Apple quality is classified into two categories, namely fresh apples and rotten apples, based on digital images. The dataset used in this study consists of 4,035 images obtained from the Roboflow platform, comprising 2,925 training images, 707 validation images, and 403 testing images. All images were resized to 640 × 640 pixels without data augmentation. The model was trained for 50 epochs using GPU acceleration on Google Colab. Model performance was evaluated using a confusion matrix on the testing dataset. The experimental results show that the YOLOv5 model successfully classified all testing images correctly without any misclassification, indicating excellent detection and classification performance. These results demonstrate that YOLOv5 is an effective and reliable method for automatic apple quality detection and has strong potential for application in agriculture and the food industry to improve efficiency and accuracy in fruit quality inspection.
Avocado Ripeness Classification Using a Convolutional Neural Network (CNN) Nur'aini Mufaidhah Tangahu; Mohamad Ilyas Abas; Widya Eka Pranata; Rizal Lamusu; Syahrial Syahrial; Irawan Ibrahim
Jurnal Ilmu Komputer (JUIK) Vol 6, No 1 (2026): February 2026
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/juik.v6i1.5540

Abstract

The determination of avocado ripeness plays a crucial role in post-harvest handling and quality The determination of avocado ripeness plays a crucial role in post-harvest handling and quality control within the agricultural sector; however, conventional assessment methods based on visual inspection and human experience are often subjective and inconsistent, potentially leading to classification errors and economic losses. To address this issue, this study proposes an automated avocado ripeness classification system using a Convolutional Neural Network (CNN) based on digital image analysis. The model employs a transfer learning approach using the MobileNet architecture implemented through the Teachable Machine platform. The dataset utilized in this research was obtained from Mendeley Data and consists of avocado images categorized into four ripeness levels: underripe, breaking, ripe, and overripe. Prior to model training, the images underwent preprocessing and data augmentation to improve model robustness and generalization. Model evaluation was conducted using 1,200 test images, with 300 samples per class. Experimental results show that the proposed model achieved an overall accuracy of 91.42%, indicating strong and stable classification performance. Analysis using a confusion matrix reveals that most predictions were correctly classified, while misclassifications primarily occurred between ripeness stages with visually similar characteristics. Among all classes, the underripe category demonstrated the highest performance with minimal classification errors. These findings indicate that the proposed CNN-based approach is effective and reliable, and it has significant potential to be further developed as an automated system for avocado ripeness classification and post-harvest quality assessment.
DEVELOPMENT OF NEARPOD LEARNING MEDIA FOR THE CONCEPT OF REACTION RATES COMPREHENSION Sarmita Sarmita; Ratu Fazlia Inda Rahmayani; Syahrial Syahrial
Chimica Didactica Acta Vol 13, No 1: June 2025
Publisher : FKIP USK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jcd.v13i1.43967

Abstract

Pemanfaatan teknologi android dan internet dalam dunia pendidikan di Indonesia telah membawa inovasi baru dalam proses pembelajaran yang didukung oleh media digital. Salah satu contohnya adalah aplikasi Nearpod. Penelitian ini bertujuan untuk mengembangkan dan menguji kelayakan media pembelajaran Nearpod pada materi laju reaksi dan mengetahui respon siswa terhadap aplikasi Nearpod. Penelitian ini menggunakan metode Research and Development (RD) dengan model ADDIE yaitu Analyze, Design, Development, Implementation dan Evaluation. Lokasi penelitian di Jurusan Pendidikan Kimia FKIP USK dengan melibatkan 60 mahasiswa angkatan 2022 yang telah menempuh mata kuliah Kimia Dasar 2. Instrumen penelitian terdiri dari lembar analisis kebutuhan, lembar kelayakan media oleh validator, lembar respon siswa dan lembar System Usability Scale (SUS). Hasil penelitian menunjukkan bahwa media pembelajaran Nearpod memiliki validitas sebesar 0,91 dengan kategori sangat valid, reliabilitas Nearpod memperoleh 91% dengan kategori reliabel atau dapat dipercaya. Respon siswa terhadap media pembelajaran Nearpod menunjukkan respon sangat baik sebesar 90% dan hasil menggunakan System Usability Scale (SUS) menunjukkan kategori baik dengan skor 71. Berdasarkan hasil penelitian dapat disimpulkan bahwa aplikasi Nearpod dapat digunakan sebagai media pembelajaran pada materi laju reaksi.Kata kunci : Pengembangan, Nearpod, ADDIE, Laju reaksi
The Impact of Physics Modules Based on Problem Based Learning on The Problem-Solving Abilities of Students in the Material of Optical Instruments Erika Erika; Syahrial Syahrial; Hikmawati Hikmawati
AMPLITUDO : Journal of Science and Technology Innovation Vol. 3 No. 1 (2024): February
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v3i1.160

Abstract

The purpose of this study is to ascertain how students' problem-solving skills are affected by the use of a problem-based learning physics module. A nonequivalent control group design and a quasi-experimental research methodology are used. Test instruments in the form of descriptive questions and non-test instruments in the form of a questionnaire on student replies make up the instruments utilized. Students in grade XI at SMA Darul Falah for the academic year 2022–2023 make up the study population. Purposive sampling was used to choose the research sample, resulting in the experimental group consisting of 21 students from class XI MIPA 2 and the control group consisting of 21 students from class XI MIPA 1. For the experimental group, a customized problem-based learning module in physics was employed. The Problem-Solving Ability instrument consists of descriptive questions that have been tested for validity, reliability, difficulty level, and item discrimination. The experimental group's average post-test score was 83.66, compared to 60.09 for the control group. Both groups' data were uniformly distributed and homogeneous. The hypothesis test results indicated that the calculated t-value was greater than the critical t-value, specifically 6.33, which is higher than 2.02 for the post-test data. Therefore, the alternative hypothesis ( ) is accepted, and the null hypothesis ( ) is rejected, indicating an influence of using the physics module based on problem-based learning on students' problem-solving abilities in the topic of optical instruments. Based on the analysis of the questionnaire responses, students' responses improved after the implementation of the physics module based on problem-based learning, with an implementation percentage of 72%. In conclusion, there is an influence of using the physics module based on problem-based learning on students' problem-solving abilities in the topic of optical instruments.
Co-Authors A. M. Shiddiq Yunus Agus Putra AS Alfi Syahrin Alfiana Tri Devi Amelia Eka Frimasary Ananta Wira Angelia Leovita Anisa Siregar Anisa Wildayanty Harahap Asrial Atri Widowati Azwandi Azwandi Bengi Pratiwi Bobby Yuhanda Chandra Bhuana Chandrika Eka Larasati Dandi Saleky Dandi Saleky Dandy Saleky Delpina Sari Dermawan, Alvindo Dian Fauzi Dian Fauzi Dwi Agus Kurniawan Ega Aulia Sarfina Erika Erika Erlangga Erlangga Erniati Erniati Faisal Faisal Faiz Nur Hanum Fanny Sasmitha Fathir Adisyar Febrianti Putri Siahaan Hanafi Herman Hasan Yudie Sastra Helmizar Hendri Susilo Hikmawati Hikmawati Hilaria Widia Ayuningtyas I Gusti Bagus Wiksuana Ibrahim, Irawan Ilham Antariksa Tasabaramo Ita Karlina Juwita Saputri Khairunnisa Khairunnisa Khusnul Yusran Taufik Latifah Latifah Leni, Yusyam M. Satria Budi Madarisa, Fuad Maya Anggraini Meylisa Cholissatun Fitri Mohamad Firmansyah Daud Mohamad Ilyas Abas Mufarizuddin Muhammad Irhamsyah Muhammad Reza Syahputra Muhammad Yulianda Satya Putra Nasaruddin Nasaruddin Nur Aisyah Perangin-angin Nur'aini Mufaidhah Tangahu Nurul Sa'adah Prayudi Azis Rahmad Rizki Ratu Fazlia Inda Rahmayani Resmiati Resmiati Rhojim Wahyudi Rianta Malau Rika Anggraini Riky Oktavianus Depari Rini Tri Lestari Sembiring Rizal Lamusu Rizal Munadi Rohyana Salmi Rubiyanto Maku Ruzanna, Arina S.Pd. M Kes I Ketut Sudiana . Salma Nur Fitri Sarmita Sarmita Suhartin Suhartin Sulistiyo, Urip Sumianto Sumianto Tengku Riza Zarzani N Teuku Yunirwan Wandesi Mariati Widya Eka Pranata Yora Marsia Br. S Pandia