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All Journal Jurnal Ilmu Pendidikan CommIT (Communication & Information Technology) Journal of Food and Life Sciences Journal of Innovation and Applied Technology Journal of Environmental Engineering and Sustainable Technology Jurnal Teknologi Informasi dan Ilmu Komputer AGRIVITA, Journal of Agricultural Science Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) JINOP (Jurnal Inovasi Pembelajaran) Premiere Educandum Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Pendas : Jurnah Ilmiah Pendidikan Dasar Journal of Education Technology Jurnal Ilmiah Sekolah Dasar Istawa: Jurnal Pendidikan Islam UPEJ Unnes Physics Education Journal AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Journal of Research and Educational Research Evaluation Pendagogia: Jurnal Pendidikan Dasar Cendikia Pendidikan Advances In Social Humanities Research JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
Candra Dewi
Fakultas Ilmu Komputer, Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Penerapan Machine Learning Extreme Gradient Boosting Dalam Klasifikasi Potensi Tsunami Berdasarkan Data Gempa Bumi Kurniawan, I Gede Jayadi; Dewi, Candra; Rahman, Muh Arif
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 9 No 2 (2025): Februari 2025
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tsunami merupakan bencana alam yang berdampak besar, khususnya di wilayah rawan seperti Indonesia. Penelitian ini bertujuan mengklasifikasikan potensi tsunami berdasarkan data gempa bumi menggunakan algoritma Extreme Gradient Boosting (XGBoost). Dataset mencakup data gempa dari 1900 hingga 2023 dengan total 1.376 data dan mengandung ketidakseimbangan kelas. Untuk mengatasi masalah ini, teknik Synthetic Minority Over-sampling Technique (SMOTE) diterapkan. Model dikembangkan dengan menyetel hyperparameter seperti max_depth, learning_rate, gamma, min_child_weight, colsample_bytree, dan subsample menggunakan Grid Search. Hasil pengujian menunjukkan bahwa kombinasi hyperparameter terbaik menghasilkan accuracy 85%, dengan recall, precision, dan F1-score masing-masing sebesar 0.74. Setelah penerapan SMOTE, accuracy menurun menjadi 84%, tetapi recall meningkat menjadi 0.79 dengan precision 0.71 dan F1-score 0.75. Evaluasi menggunakan metrik accuracy, precision, recall, dan F1-score menunjukkan bahwa penerapan SMOTE memberikan prediksi yang lebih baik untuk kelas tsunami. Pendekatan ini diharapkan berkontribusi dalam mitigasi bencana tsunami melalui sistem deteksi dini berbasis data gempa bumi.
Digital Based Branding of Tourism and MSME Product in Tasikmadu and Gemaharjo Village, Trenggalek Regency Dewi, Candra; Rahayudi, Bayu; Mahmudy, Wayan Firdaus; Kurnianingtyas, Diva
Journal of Innovation and Applied Technology Vol 10, No 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiat.2024.10.02.002

Abstract

Tasikmadu and Gemaharjo villages are two villages in Watulimo have considerable potential in tourism and MSME products. However, rural communities including tourism actors, village officials, and MSME players are still unable to maximize the potential of the village, due to the lack of ability of tourism managers and MSME actors in promoting tourism and its products widely. Therefore, this activity intends to increase the knowledge and ability of tourism actors, village officials, and MSME actors from Tasikmadu and Gemaharjo villages in promoting tourism and MSME products. This is done by developing tourism profiles and MSMEs digitally.  The evaluation results showed that the activity was quite successful in increasing tourism promotion in Tasikmadu by utilizing the village's Instagram social media. In addition, the success of MSME promotion can also be seen by making logos and packaging for MSME products, both in Tasikmadu and Gemaharjo.
Aji Saka: Pahlawan, Legenda, dan Warisannya dalam Kebudayaan Jawa Aprilia, Putri; Jumadi, Jumadi; Wahyu, Dwi; Dewi, Candra
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v2i1.2499

Abstract

This article discusses legendary figures on the island of Java who have been passed down from generation to generation. Aji Saka comes from Majethi, India. Aji Saka is known as the creator of the Javanese script and the Saka calendar or Javanese calendar. Through a literature review approach, this research aims to collect and analyze the story of Aji Saka from various sources that have been documented, such as his origins, his fight against Prabu Dewata Cengkar, his influence on Javanese culture, the history of the creation of the Javanese script and the Saka calendar which is still relevant in society today. Apart from analyzing it from a historical perspective, this research will also discuss the symbolic meaning and moral values of Aji Saka's story which can be a role model. Thus, it can be said that Aji Saka is not only a legendary figure but also an integral part of history and cultural identity which is still preserved today.
Digital Literacy Analysis of Elementary School Students Through Implementation of E-Learning Based Learning Management System Dewi, Candra
Journal of Education Technology Vol. 6 No. 2 (2022): May
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v6i2.44160

Abstract

The COVID-19 pandemic that has hit the world has resulted in changes in all aspects of life, including the education aspect. Initially, education was held face-to-face, due to the COVID-19 pandemic, face-to-face learning began to be limited. Face-to-face learning is replaced with online learning (e-learning) based on a learning management system (LMS) so that students are expected to still be able to learn even from home. The implementation of e-learning in the teaching and learning process in schools requires digital literacy competencies. Through e-learning students can access various information on the internet so that digital literacy skills are one solution in responding to the challenges of technological advances. This study aims to analyze the digital literacy skills of elementary school students through the application of LMS-based e-learning. This research is a descriptive analysis. The subjects in this study were fifth grade elementary school students who applied LMS-based e-learning as many as 25 students. While the data collection methods used are surveys and interviews. Data analysis methods used include data collection, data reduction, data presentation, and decision making. The results showed that there were three aspects, most of the students had sufficient digital literacy skills and there were four aspects where most of the students had good abilities. So it can be concluded that the students' digital literacy abilities are mostly in the sufficient and good category. Thus, e-learning can have an impact on students' digital literacy skills.
Texture Feature On Determining Quantity of Soil Organic Matter For Patchouli Plant Using Backpropagation Neural Network Dewi, Candra; Sundari, Suci; Mardji, Mardji
Journal of Information Technology and Computer Science Vol. 4 No. 1: June 2019
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3273.423 KB) | DOI: 10.25126/jitecs.20194168

Abstract

Patchouli (Pogostemon Cablin Bent) has higher PA (Patchouli Alcohol) and oil production if grown in soil containing 75% organic matter. One way that can be used to detect the content of organic matter is to use soil images. The problem in the use of soil images is the color of the soil that is almost similar, namely the gradation between dark brown to black. Therefore, color features are not enough to be used as input in the recognition process. For this purposes, texture features are added in this study in addition to color features. The color features are extracted using color moment and the texture features are extracted using Gray Level Co-occurrence Matrix (GLCM). These feature was then chosen to get the best combination as input in the identification process using the Backpropagation Neural Network (BPNN). The system identifies the quantity of soil organic matter into five classes, namely very low, low, medium, high, and very high. The highest accuracy result obtained was 73% and MSE value 0.5122 by using five GLCM features (Angular Second Moment, contrast, correlation, Inverse Difference Moment, and entropy). This result was obtained by using the BPNN parameter, namely learning rate values 0.5, maximum iteration values of 1000, number training data 210, and total test data 12.
The Urgency of Legal Protection for Weak Parties in Contemporary Contract Law Dewi, Candra; Lestari, Indah; Nurjanah, Siti
Advances In Social Humanities Research Vol. 3 No. 4 (2025): Advances In Social Humanities Research
Publisher : Sahabat Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/adv.v3i4.434

Abstract

Contemporary contractual relations in Indonesia are marred by structural inequalities, where powerful entities exploit vulnerable parties (consumers, workers, MSMEs) through standard form contracts, undermining the Civil Code’s principle of freedom of contract. Despite legal protections (e.g., Consumer Protection Law, Labor Law), weak enforcement and low awareness perpetuate injustice. This study examines the urgency of legal protection for weak parties, evaluates existing frameworks, and proposes reforms grounded in dignity justice to align contract law with social equity. A qualitative, normative-juridical approach analyzes legislation, jurisprudence (e.g., Supreme Court rulings), and scholarly theories. Exploitative clauses persist due to imbalanced bargaining power, but progressive judicial interpretation (ex aequo et bono) and dignity justice can mitigate inequities. The study advocates for legislative reforms, technological solutions (e.g., AI-assisted aid), and enhanced judicial training to ensure substantive justice, offering a blueprint for equitable contract law in Indonesia’s digital economy.
DETEKSI OBJEK PADA FRAMEWORK YOLOV5 DENGAN PENANGANAN KESILAUAN CAHAYA MENGGUNAKAN GABUNGAN ARSITEKTUR U-NET DAN INPAINT Afrialdy, Firman; Perdana, Rizal Setya; Dewi, Candra
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 3: Juni 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025128866

Abstract

CCTV telah diterapkan untuk memantau berbagai aktivitas di lingkungan Universitas Brawijaya, termasuk lalu lintas kendaraan di gerbang kampus. Pengawasan pada malam hari dalam kondisi intensitas cahaya yang rendah  merupakan tantangan tersendiri dalam penggunaan CCTV. Hal ini dikarenakan kualitas gambar yang rendah sehingga menghambat kemampuan sistem untuk mendeteksi dan mengidentifikasi objek dengan tepat. Salah satu permasalahan yang timbul dalam kasus kurangnya pencahayaan adalah munculnya flare atau kesilauan yang disebabkan oleh lampu kendaraan yang mengarah langsung ke CCTV. Oleh karena itu, pada penelitian ini digunakan segmentasi U-Net dan restorasi inpaint untuk preproses data sebelum dilakukan deteksi objek menggunakan framework YOLOv5. Hasil pengujian deteksi objek diperoleh nilai precision 0.942, recall 0.873, dan F1-Score 0.88 pada model yang dipreproses menggunakan segmentasi U-Net dan restorasi inpaint. Nilai tersebut lebih tinggi sebesar 0.032 pada precision, 0.018 pada recall, dan 0.3 pada F1-Score jika dibandingkan dengan model yang tanpa preproses.­­   Abstract CCTV has been implemented to monitor various activities within Brawijaya University, including vehicle traffic at the campus gate. Surveillance at night in low light intensity conditions is a challenge in the use of CCTV. This is due to the low image quality that hampers the system's ability to detect and identify objects correctly. One of the problems that arise in the case of lack of lighting is the appearance of flares or glare caused by vehicle lights that point directly to the CCTV. Therefore, in this research, U-Net segmentation and inpaint restoration are used to preprocess data before object detection using the YOLOv5 framework. The results of object detection testing obtained precision values of 0.942, recall 0.873, and F1-Score 0.88 on models preprocessed using U-Net segmentation and inpaint restoration. These values are higher by 0.032 in precision, 0.018 in recall, and 0.3 in F1-Score when compared to the model without preprocessing.  
Optimization of PBB Data Updates Through Collaboration of UNTIDAR Students with BPPKAD in Three Districts of Magelang Regency Saputra, Rendi Ramadani; Veni, Silvia; Janah, Nurul; Nurlaela, Siti; Marinda, Vira; Dwi, Endah; Indah, Yuliana; Syarif, Adnan; Dewi, Candra; Maulan, Erika
Amaliah: Jurnal Pengabdian Kepada Masyarakat Vol 9 No 1 (2025): Amaliah Jurnal: Pengabdian kepada Masyarakat
Publisher : LPPI UMN AL WASHLIYAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32696/ajpkm.v9i1.4819

Abstract

Kegiatan Kuliah Kerja Nyata (KKN) merupakan bentuk kerjasama antara mahasiswa Universitas Tidar (UNTIDAR) dengan Badan Pendapatan, Pengelolaan Keuangan, dan Aset Daerah (BPPKAD) Kabupaten Magelang yang bertujuan untuk meningkatkan pemutakhiran data Pajak Bumi dan Bangunan (PBB). Kegiatan ini dilaksanakan di tiga kecamatan, yaitu Kecamatan Mungkid, Kecamatan Mertoyudan, dan Kecamatan Muntilan, dengan memanfaatkan website SiPBB Trengginas. Dalam pendekatan praktik langsung, mahasiswa berperan aktif mendampingi perangkat desa dalam proses mutasi data, pembaruan objek pajak, perbaikan data, serta pembatalan SPPT yang tidak sesuai. Hasil dari kegiatan ini menunjukkan bahwa kolaborasi tersebut berhasil meningkatkan akurasi data PBB, efisiensi dalam administrasi pajak daerah, serta pemahaman masyarakat mengenai pentingnya pemutakhiran data. Program ini tidak hanya memberikan manfaat langsung bagi masyarakat dan pemerintah daerah, tetapi juga memberikan pengalaman praktis bagi mahasiswa dalam menerapkan ilmu pengetahuan untuk menyelesaikan masalah yang ada di lapangan.
Deteksi dan Klasifikasi Hama Pada Tanaman Menggunakan YOLOV8 Santoso, Allegra; Dewi, Candra; Santoso, Edy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 9 No 8 (2025): Agustus 2025
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hama merupakan ancaman utama dalam pertanian, terutama pada tanaman sensitif seperti hidroponik. Deteksi hama berbasis computer vision menjadi solusi potensial untuk meningkatkan efisiensi pengendalian di lapangan. Penelitian ini mengimplementasikan metode deteksi objek menggunakan model You Only Look Once versi 8 (YOLOv8) dengan dataset IP102 yang mencakup 102 kelas hama tanaman. Penelitian difokuskan pada eksplorasi hyperparameter untuk menemukan konfigurasi terbaik. Proses dimulai dengan preprocessing data melalui konversi anotasi dari format Pascal VOC ke YOLO, diikuti augmentasi data untuk meningkatkan keberagaman sampel. Model dilatih menggunakan kombinasi learning rate (0.001, 0.01, 0.05), batch size (8, 16, 32), dan tiga optimizer (SGD, Adam, AdamW). Evaluasi dilakukan menggunakan metrik precision, recall, mAP50, dan mAP50-95. Hasil menunjukkan bahwa konfigurasi default YOLOv8 (batch size 32, learning rate 0.01, dan optimizer SGD) memberikan performa terbaik dengan precision 0.530, recall 0.679, dan mAP50 sebesar 0.441. Penggunaan optimizer Adam dan AdamW menghasilkan performa yang lebih rendah. Temuan ini menunjukkan bahwa konfigurasi default YOLOv8 sudah cukup optimal untuk tugas deteksi hama multikelas pada dataset IP102.
Development Of Flipbook Media Based On "Indonesian Culture" as an Effort to Strengthen The Character Education Of Elementary School Students Kusumawardani, Septyana Dwi; Dewi, Candra; Kusumawati, Naniek
ISTAWA Vol 8 No 1 (2023): Istawa: Jurnal Pendidikan Islam
Publisher : Postgraduate Program Magister Pendidikan Agama Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/ijpi.v8i1.7529

Abstract

This research is a development research. The subject of this research is the development of flipbook-based learning media. This research uses a method by applying Research and Development (R&D). The media developed in this study used the ADDIE model which consists of 5 stages, namely 1) analysis, 2) design, 3) development, 4) implementation, and 5) evaluation.This study aims to develop Indonesian culture-based flipbook learning media as a strengthening of character education in elementary school students.  The data collection techniques that researchers use are observation, interviews, questionnaires, evaluation and documentation. The results of the study can be concluded that the flipbook learning media is very feasible to use. This is obtained based on the percentage of validation results and product trials. The percentage results obtained include media experts showing a percentage of 92.2% with very feasible criteria, material experts showing a percentage of 100% with very feasible criteria, language experts showing a percentage of 93.8% with very feasible criteria. Based on the student response questionnaire assessment, it shows a percentage of 87.3% with very feasible criteria, the teacher response questionnaire assessment shows a percentage of 98% with very feasible criteria, the results of the learning evaluation that students have done show a percentage of 90% with very feasible criteria.
Co-Authors Abdul Fatih Achmad Yusuf Adam Sulthoni Akbar Adinugroho, Sigit Aditya Chandra Nurhakim Aditya Septadaya Adiyasa, Bhisma Afrialdy, Firman Aghata Agung Dwi Kusuma Wibowo Agi Putra Kharisma Agus Wahyu Widodo Ahmad Afif Supianto Ahmad Afif Supianto Ahmada Bastomi Wijaya Akmal Subakti Wicaksana Alan Primandana Almasyhur, Muhammad Bin Djafar Amalia Luhung Amita Tri Prasasti, Pinkan Anang Tri Wiratno Andhika Satria Pria Anugerah Anggita Mahardika Ani Budi Astuti Ani Rusilowati Anim Rofi'ah Annisa Puspitawuri Annisa Salamah Rahmadhani Arbawa, Yoke Kusuma Aria Bayu Elfajar Arief Andy Soebroto Arjunani, Rusmalistia Intan Ayuri Alfarianti Azhari, Muhammad Rizqi Azizul Hanifah Hadi Barik Kresna Amijaya Bayu Rahayudi Brillian Aristyo Rahadian Budi Astuti Budi Darma Setiawan Chelsa Farah Virkhansa Daneswara Jauhari Daneswara Jauhari, Daneswara Dany Primanita Kartikasari Dennes Nur Dwi Iriantoro Deo Hernando Desy Wulandari Dewanti, Amalya Trisuci Diajeng Tania Ananda Paramitha Dian Eka Ratnawati Dloifur Rohman Alghifari Dwi Fitriani Dwi Novi Setiawan Dwi, Endah Dyang Falila Pramesti Edo Ergi Prayogo Edy Santoso Edy Santoso Erik Aditia Ismaya Eriq Muh. Adams Jonemaro Falih Gozi Febrinanto Faris Febrianto Febri Ramadhani Fenori, Muhammad Dajuma Feri Angga Saputra Fianti Fianti, Fianti Fitri Anggarsari Fitriana, Rosita Nur Fitriani , Dwi Fitriani, Delvi Guntur Syafiqi Adidarmawan Himawan, Alfian Iftinan, Salsa Nabila Ikhwanul Kiram, Muh Zaqi Ilham Harazki Imam Cholisoddin Imam Cholissodin Imam Cholissodin Indah Lestari, Indah Indah Wahyuning Ati Indah, Yuliana Indra Eka Mandriana Indriati Indriati Indriati Indriati Indriati, Indriati - Iqbal Santoso Putra Iskarimah Hidayatin JANAH, NURUL Jumadi Jumadi Khairiyyah Nur Aisyah Kharisma, Agi Krisyanto, Edy Kurnianingtyas, Diva Kurniawan, I Gede Jayadi Kusumawardani, Septyana Dwi Lailil Muflikah Lailil Muflikhah Maharani Tri Hastuti Mardji Mardji Marinda Ika Dewi Sakariana Marinda, Vira Marwa Mudrikatussalamah Maulan, Erika Maulana Putra Pambudi Maulida, Farida Mochammad Tanzil Furqon Mohammad Nuh Mohammad Setya Adi Fauzi Muh Arif Rahman Muhammad Ihsan Diputra Muhammad Misbachul Asrori Muhammad Noor Taufiq Muhammad Prabu Sutomo Muhammad Riduan Indra Hariwijaya Muhammad Tanzil Furqon Muhja Mufidah Afaf Amirah Muhyidin Ubaiddillah Mukh. Mart Hans Luber Nabila Arief Nadia Artha Dewi Naily Zakiyatil Ilahiyah Naniek Kusumawati Nazzun Hanif Ahsani Nirzha Maulidya Ashar Nooriza Fariha Rumagutawan Noval Dini Maulana Novanto Yudistira Nur Hidayat Nur Sa'diyah Nurhidayati Desiani Nurul Faridah, Nurul Nurul Hidayat Nuryatman, Pamelia Nuzula, Nila Firdauzi Pande Made Rai Raditya Phutpitasari, Rosa Devi Pupung Adi Prasetyo Putra Pandu Adikara Putri Aprilia Putu Gede Pakusadewa Rachmalia Dewi Rahma Juwita Sany Randy Cahya Wihandika Ratih Kartika Dewi Rayhan Tsani Putra Reiza Adi Cahya Reza Wahyu Wardani Rifan, Mohamad Rina Christanti, Rina Rizal Setya Perdana Rizal, Moch. Khabibur Robih Dini Rohmah, Yushinta Lailatul Rohmanurmeta, Fauzatul Ma’rufah Rokky Septian Suhartanto Romlah Tantiati Rosyita, Elyana Santoso, Allegra Santoso, Andri Saputra, Rendi Ramadani Saputro, Rinaldi Eko Saputro Sekar Dwi Ardianti Selle, Nurfatima Selvi Marcellia Setya Perdana, Rizal Sigit Pangestu Siti Nurjanah Siti Nurlaela Sundari, Suci Sunyoto Eko Nugroho, Sunyoto Eko Susenohaji, Susenohaji Sutrisno . Syarif, Adnan Tirana Noor Fatyanosa, Tirana Noor Ulfah Mutmainnah Veni, Silvia Wahyu, Dwi Wayan Firdaus Mahmudy Werdha Wilubertha Himawati, Werdha Wilubertha Wiandono Saputro Wilis Biro Syamhuri Wiratama Paramasatya Yasin, Patbessani Septani Firman Yessica Inggir Febiola Yosua Christopher Sitanggang Yudha Eka Permana Yudistira, Indrajati Yuita Arum Sari Yulia Trianandi Yulian Ekananta Yusi Tyroni Mursityo Zulhan, Galang