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All Journal Jurnal Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI EXPLORE CCIT (Creative Communication and Innovative Technology) Journal International Journal of Informatics and Computation Prima Abdika: Jurnal Pengabdian Masyarakat EXPLORE Jurnal Teknik Informatika dan Teknologi Informasi Safari : Jurnal Pengabdian Masyarakat Indonesia Journal Of Computer Science And Technology Jurnal Rekayasa Sistem Informasi dan Teknologi Darma Diksani: Jurnal Pengabdian Ilmu Pendidikan, Sosial, dan Humaniora Journal of Computer Science and Information Technology Jurnal Kecerdasan Buatan dan Teknologi Informasi Journal of Data Analytics, Information, and Computer Science (JDAICS) Jurnal Computer and Technology Explore Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Informatika
Suryadi, Emi
Universitas Teknologi Mataram
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Pelatihan Tes Potensi Skolastik (TPS) dan Tes Penalaran Matematika Bagi Siswa SMKS Yusuf Abdussatar Kediri Nurwijayanti, Karina; Hikmi, Henni Comala; Suryadi, Emi
Prima Abdika: Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2026): Volume 6 Nomor 2 Tahun 2026 (Juni 2026)
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Universitas Flores Ende

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/abdika.v6i2.8009

Abstract

Most vocational high school (SMK) students lack adequate information regarding Scholastic Aptitude Tests (TPS) and Mathematical Reasoning Tests, which are critical components of university entrance examinations. This issue was observed among students at SMKS Yusuf Abdussatar Kediri, who demonstrated limited understanding of both test domains. This community service initiative aimed to enhance students' comprehension, skills, and preparedness in facing the TPS and Mathematical Reasoning Tests. The program was implemented through a four-stage framework: observation, preparation, execution, and evaluation. The intervention was delivered in person, targeting students of SMKS Yusuf Abdussatar Kediri as the primary participants. The program activities included instructional sessions on test material, provisioning of sample problems, strategy training for problem-solving, group discussions, and evaluation via a pretest and posttest design. Evaluation results indicated an improvement in students' abilities to solve scholastic aptitude and mathematical reasoning problems compared to their baseline scores, although the increase was not highly significant. Consequently, this training program serves as a strategic effort to foster student readiness, skills, and conceptual understanding for higher education entrance exams.
COLONOSCOPIC POLYP SEGMENTATION USING SEGFORMER-B0 WITH A DICE-BCE HYBRID LOSS Ahmad Yani; San Sudirman; M. Zulpahmi; Emi Suryadi; Bahtiar Imran
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 2 (2026): May 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i2.476

Abstract

Colorectal cancer is one of the leading causes of cancer-related deaths worldwide, with most cases originating from early lesions such as colon polyps. Early detection through colonoscopy is essential to reduce mortality rates; however, accurate polyp identification remains challenging due to variations in shape, size, texture, and illumination conditions. This study aims to implement and evaluate the SegFormer-B0 architecture combined with a Dice-BCE hybrid loss function for polyp segmentation in colonoscopy images. The study utilized the public Kvasir-SEG dataset consisting of 1,000 colonoscopy images with pixel-level annotations. The dataset was divided into 80% training data and 20% validation data. Image preprocessing included resizing to 256×256 pixels and normalization using ImageNet statistics. The model was trained for 25 epochs using the AdamW optimizer with a learning rate of 1×10⁻⁴. Performance evaluation was conducted using Dice Coefficient, Intersection over Union (IoU), Sensitivity, and Specificity metrics. The experimental results demonstrated that the proposed model achieved a Dice Coefficient of 89.92%, Mean IoU of 81.90%, Sensitivity of 89.12%, and Specificity of 98.51%. The training process also showed stable convergence, supported by a training loss of 7.53% and validation loss of 23.30%. The findings indicate that the integration of SegFormer-B0 with the Dice-BCE hybrid loss effectively improves segmentation accuracy and stability while addressing class imbalance issues in colonoscopy images. Therefore, the proposed approach has strong potential to support computer-aided diagnosis systems for colorectal cancer screening.
Co-Authors ahmad yani Ahmad Yani Ahmad Yani Akbar, Ardiyallah Ardiyallah Akbar Ardiyallah Akbar Arwidiyarti, Dwinita Aspari, Roni Astutik Zaerani Aulia, Asma Ayu Awanda Aerin Maesyarani Beni Ari Hidayatulloh Beni Ary Hidayatullah Beni Ary Hidayatullah Buchtami, Lalu Reza Dedi Supriadi Diki Hananta Firdaus Efendi, Muhamad Masjun Ema Zulfaningsih Erfan Wahyudi Fadlun Mudin Giardi, Muh Hamzah Andung Hadi, Zulfan Hamzan Wadi Henni Comala Hikmi Hikmi, Henni Comala Imran, Bahtiar indriana, pathul Juniyardi, Lalu Karim, Muh Nasirudin Karina Nurwijayanti Karina Nurwijayanti Lalu Darmawan Bakti, Lalu Darmawan Lalu Delsi Samsumar, M.Eng. Lalu Efendi Novian Lalu Moh. Nurkholis M. Zulpahmi Maspaeni Maspaeni Moh Subli Moh. Subli Mudin, Fadlun Nining Putri Ningsih Novian, Lalu Efendi NUR FAUZIAH Nurkholis, Lalu Moh. Nurul Yakin Nurul Yakin Nurul Yakin Nurwijayanti, Karina Rudi Muslim Rudi Muslim Said, Syukroni San Sudirman Selamet Riadi Selamet Riadi Subli Kerta Yan Santosa Yumarlin MZ Zaeniah Zaeniah Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zulpahmi, M. Zulpan Hadi