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Personal Attributes As Indicators Of Students Leading Competence: A Conceptual Analysis In The Context Of Higher Education Mardhiyah, Sayang Ajeng; Stiawan, Deris; Meilinda, Meilinda; Pratiwi, Marisya; Iswari, Rosada Dwi
Jurnal Pendidikan Karakter Vol. 16 No. 2 (2025)
Publisher : Directorate of Research and Community Service, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpka.v16i2.84768

Abstract

This research aims to formulate a personal attribute profile as an indicator of leading competence for Sriwijaya University students. This research uses a qualitative approach with content analysis and thematic analysis methods of academic literature, national policy documents, university vision and mission, and feedback from stakeholders. Based on the synthesis results, the four personal attribute profiles in this study are growth mindset, academic integrity, critical thinking disposition, and academic buoyancy. These profiles are expected to be integrated in the curriculum and various academic and non-academic activities, and become a strategic step to realize the vision of national higher education, achieve the goals and objectives of Sriwijaya University, and meet the competency demands of the world of work and the global community in the future.
Optimization of Cement Distribution Route Based on Hybrid Genetic-Firefly Algorithm (GAFA) Heryati, Agustina; Stiawan, Deris; Setiawan, Heri; Rini, Dian Palupi; Budiarto, Rahmat
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 4: December 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i4.6404

Abstract

This study focuses on optimizing the cement distribution route to improve efficiency, reduce costs, and minimize environmental impacts. A hybrid Genetic-Firefly Algorithm (GAFA) approach, integrating the Genetic Algorithm (GA) and the Firefly Algorithm (FA), is developed to solve the complex problem of determining the optimal distribution route to ensure timely, efficient, and sustainable delivery. The Data from PT Semen Baturaja includes three factory locations and 128 distributor points. Various parameter configurations are tested, including population size, mutation probability, total execution time, average execution time, standard deviation of execution time, best factory, and best distance to provide their impact on algorithm performance. The empirical results show that the optimal configuration produces the lowest total distance of 205.14 kilometers and high executiontime efficiency. The best route covers 128 strategic distribution points in the Sumatra region. These results prove the effectiveness of the hybrid GAFA algorithm in optimizing cement distribution routes, contributing significantly to operational efficiency and transportation cost savings. Thus, this approach offers a practical, efficient solution for optimizing cement distribution routes in the manufacturing industry.
Pengembangan Media Infografis Interaktif Berbasis Discovery Learning Pada Materi Energi Terbarukan Untuk Siswa SD Raini Marita; Deris Stiawan; Makmum Raharjo
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.12689

Abstract

The limitations of visual learning media that are appropriate for the characteristics of elementary school students have an impact on the low level of understanding of abstract science material, such as renewable energy. In the context of the need for a learning approach that supports active engagement and visualization, this study aims to develop interactive infographic media based on Discovery Learning for renewable energy materials for sixth-grade elementary school students. This study employs the Research and Development (R&D) method using the ADDIE model, which consists of the analysis, design, development, implementation, and evaluation stages. Validation was conducted by experts in media, language, and content, while practicality and effectiveness were tested through limited trials and field tests involving teachers and students at SD Negeri 1 Pagar Kaya. The results of the study indicate that the developed media meet the criteria for high validity (average >85%), high practicality (average >90%), and effectiveness (N-Gain = 0.72) in enhancing students' understanding. The interactive infographic media developed facilitates the discovery-based learning process in a visual and engaging manner, encouraging students to actively explore concepts related to renewable energy. This study confirms that the integration of interactive visual design and the Discovery Learning approach can be an effective strategy for developing digitally based science learning media at the elementary level.
Shellcode Classification with Machine Learning Based on Binary Classification Jaka Naufal Semendawai; Deris Stiawan; Iwan Pahendra
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 2 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i2.3233

Abstract

The Internet can link one person to another using their respective devices. The internet itself has both positive and negative impacts. One example of the internet's negative impact is malware that can disrupt or even kill a device or its users; that is why cyber security is required. Many methods can be used to prevent or detect malware. One of the efforts is to use machine learning techniques. The training and testing dataset for the experiments is derived from the UNSW_NB15 dataset. K-Nearest Neighbour (KNN), Decision Tree, and Naïve Bayes classifiers are implemented to classify whether a record in the testing data is Shellcode or non-Shellcode attack. The KNN, Decision Tree, and Naïve Bayes classifiers achieve accuracy levels of 96.82%, 97.08%, and 63.43%, respectively. The results of this research are expected to provide insight into the use of machine learning in detecting or classifying malware or other types of cyber attacks.
Co-Authors Abd Rahim, Mohd Rozaini Abdiansah, Abdiansah Abdul Hadi Fikri Abdul Hanan Abdullah Abdul Harris Adi Hermansyah, Adi Adi Sutrisman Aditya Putra Perdana Prasetyo Aditya Putra Perdana Prasetyo Adji Pratomo Agung Juli Anda Agus Eko Minarno Ahmad Fali Oklilas Ahmad Firdaus Ahmad Ghiffari Ahmad Heryanto Ahmad Heryanto Ahmad Heryanto Ahmad Heryanto, Ahmad Ahmad Zarkasi Ahmad Zarkasi Albertus Edward Mintaria Ali Bardadi Ali Firdaus Alshaflut, Ahmed Anto Saputra, Iwan Pahendra Bedine Kerim Bedine Kerim Bhakti Yudho Suprapto Bhakti Yudho Suprapto Bhakti Yudho Suprapto Bin Idris, Mohd Yazid Budiarto, Rahmat Cahyani, Nyimas Sabilina Darmawijoyo, Darmawijoyo Dasuki, Massolehin Dedy Hermanto Desak Putu Dewi Kasih Dewi Bunga Dian Palupi Rini Dwi Budi Santoso Edi Surya Negara Eko Arip Winanto Endang Lestari Ruskan Ermatita - Erwin, Erwin Fachrudin Abdau Fakhrurroja, Hanif Ferdiansyah Ferdiansyah Fikri, Abdul Hadi Firdaus Firdaus Firdaus, Firdaus Firnando, Rici Firsandaya Malik, Reza Gonewaje gonewaje Habibullah, Nik Mohd Hadipurnawan Satria Harris, Abdul Heryati, Agustina Huda Ubaya Huda Ubaya Huda Ubaya I Gede Yusa Idris, Mohd. Yazid Idris, Mohd. Yazid Imam Much Ibnu Subroto Indradewa, Rhian Iswari, Rosada Dwi Iwan Pahendra Jaka Naufal Semendawai John Arthur Jupin Juli Rejito Kemahyanto Exaudi Kurniabudi, Kurniabudi Latius Hermawan Lelyzar Siregar Lina Handayani M. Miftakul Amin M. Ridwan Zalbina Majzoob K. Omer Makmum Raharjo Mardhiyah, Sayang Ajeng Marisya Pratiwi Marita, Raini Massolehin Dasuki Mehdi Dadkhah Meilinda Meilinda Meilinda, Meilinda Mintaria, Albertus Edward Mohamed S. Adrees Mohamed Shenify Mohammad Davarpanah Jazi Mohammed Y. Alzahrani Mohd Arfian Ismail Mohd Azam Osman Mohd Faizal Ab Razak Mohd Rozaini Abd Rahim Mohd Saberi Mohamad Mohd Yazid bin Idris Mohd Yazid Bin Idris Mohd Yazid Idris Mohd Yazid Idris Mohd. Yazid Idris Mohd. Yazid Idris Mohd. Yazid Idris Muhammad Afif MUHAMMAD FAHMI Muhammad Fahmi Muhammad Fermi Pasha Muhammad Qurhanul Rizqie Muhammad Sulkhan Nurfatih Munawar A Riyadi Munawar Agus Riyadi Naufal Semendawai, Jaka Negara, Edi Surya Ni Ketut Supasti Dharmawan Nik Mohd Habibullah Nur Sholihah Zaini Nuzulastri, Sari Osama E. Sheta Osman, Mohd Azam Osvari Arsalan Pahendra, Iwan Permana, Dendi Renaldo Pertiwi, Hanna Prabowo, Christian Purnama, Benni Putra Perdana Prasetyo, Aditya Rahmat Budiarto Rahmat Budiarto Rahmat Budiarto Rahmat Budiarto Rahmat Budiarto Rahmat Budiarto Raini Marita Raja Zahilah Md Radzi Ramayanti, Indri Ramayanti, Indri Reza Firsandaya Malik Reza Maulana Rini, Dian Palupi Riyadi, Munawar A Rizki Kurniati Rizma Adlia Syakurah Rizqie, Muhammad Qurhanul Rossi Passarella Samsuryadi Samsuryadi Saparudin Saparudin Saparudin, Saparudin Saputra, Muhammad Ajran Sari Sandra Sarmayanta Sembiring Sarmayanta Sembiring Sasut A Valianta Sasut Analar Valianta Semendawai, Jaka Naufal Setiawan, Heri Shahreen Kasim Sharipuddin, Sharipuddin Sidabutar, Alex Onesimus Siti Hajar Othman Siti Nurmaini Sri Arttini Dwi Prasetyawati Sri Desy Siswanti Susanto Susanto Susanto Susanto Susanto, Susanto Sutarno Sutarno Syakurah, Rizma Adlia Syamsul Arifin, M. Agus tasmi salim Tasmi Salim Tole Sutikno Wan Isni Sofiah Wan Din Yaya Sudarya Triana Yazid Idris, Mohd. Yazid Idris, Mohd. Yesi Novaria Kunang Yoga Yuniadi Yudho Suprapto, Bhakti Yundari, Yundari Zulhipni Reno Saputra Els