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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis Jurnal Teknik Komputer AMIK BSI JURNAL MEDIA INFORMATIKA BUDIDARMA JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Sebatik Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Building of Informatics, Technology and Science JURNAL LENTERA BISNIS G-Tech : Jurnal Teknologi Terapan REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Abdimas Sangkabira Bulletin of Computer Science Research Journal of Information Technology (JIfoTech) Abditeknika - Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Jurnal Pengabdian Masyarakat Bhinneka Jurnal Informatika dan Multimedia Jurnal Komunikasi, Sains dan Teknologi (JKST) Jurnal Pengabdian Masyarakat UNIPOL Journal of Artificial Intelligence and Digital Business Jurnal Inovatif Wira Wacana Jurnal Sistem Informasi dan Ilmu Komputer SISFOTENIKA Jurnal Sistem Informasi dan Ilmu Komputer
Gudiato, Candra
Institut Shanti Bhuana
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Space Rock Pixel Perancangan Space Rock Pixel Game Antariksa Menggunakan Game Maker Language: Space Rock Pixel Space Game Design Using Game Maker Language Oktoberrikho, Stevanus; Dima, Yansensius Reins; Rendy; Gudiato, Candra; Cahyaningtyas, Christian
Jurnal Informatika dan Multimedia Vol. 17 No. 2 (2025): Jurnal Informatika dan Multimedia
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jtim.v17i2.6858

Abstract

Perkembangan industri game digital telah mendorong munculnya berbagai genre permainan, termasuk game pixel art yang menawarkan estetika retro dengan pengalaman bermain yang menarik. Penelitian ini membahas pengembangan Space Rock, sebuah game pixel art bertema antariksa yang dibangun menggunakan Game Maker Language (GML). Game ini dirancang untuk memberikan pengalaman bermain yang menantang dengan berbagai level dan musuh yang semakin sulit di setiap tahapannya. Metode pengembangan yang digunakan adalah metode waterfall, yang mencakup analisis kebutuhan, perancangan sistem, implementasi, pengujian, serta pemeliharaan dan pengembangan lanjutan. Hasil penelitian menunjukkan bahwa penggunaan GML memungkinkan pengembangan game 2D yang efisien dengan kontrol responsif serta mekanisme gameplay yang adiktif. Pengujian menggunakan metode black-box testing memastikan bahwa game berjalan sesuai dengan spesifikasi yang dirancang. Dengan demikian, Space Rock diharapkan dapat menjadi referensi bagi pengembang game pixel art yang ingin menggunakan GML dalam pengembangan game mereka.
OPTIMASI PENGGUNAAN GOOGLE CLASSROOM DALAM MENINGKATKAN LITERASI DIGITAL DI SMP NEGERI 1 TERIAK Gudiato, Candra; Yuliana, Yuliana; Saputro, Totok Victor Didik
Jurnal Abdimas Sangkabira Vol. 6 No. 1 (2025): Jurnal Abdimas Sangkabira, Desember 2025
Publisher : Program Studi Diploma III Akuntansi Fakultas Ekonomi dan Bisnis Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdimassangkabira.v6i1.2661

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi digital guru melalui penerapan Google Classroom  sebagai platform pembelajaran berbasis teknologi di SMP Negeri 1 Teriak, Kabupaten Bengkayang. Program dilaksanakan dalam beberapa tahapan, dimulai dari observasi dan analisis kebutuhan, pelaksanaan seminar/workshop atau In House Training (IHT), pendampingan implementasi, hingga dokumentasi hasil kegiatan. Pendekatan kegiatan dilakukan secara teoritis dan praktis dengan metode learning by doing, sehingga guru dapat langsung mempraktikkan cara membuat kelas digital, menambahkan siswa, membagikan materi, memberikan tugas, serta melakukan penilaian secara daring. Hasil kegiatan menunjukkan adanya peningkatan kemampuan guru dalam mengoperasikan Google Classroom  dan meningkatnya kepercayaan diri mereka dalam memanfaatkan teknologi untuk kegiatan belajar mengajar. Guru juga menyatakan bahwa penggunaan Google Classroom  membantu meningkatkan efisiensi administrasi pembelajaran, mempercepat proses penilaian, serta mempererat interaksi antara guru dan siswa. Selain itu, kegiatan ini juga berkontribusi terhadap upaya transformasi digital di lingkungan sekolah pedesaan yang masih
PENINGKATAN PRODUKTIVITAS KWT BERBASIS GROW COACHING MODEL DALAM MENGIMPLEMNTASIKAN GREEN ECONOMY: PENGEMASAN DAN DIGITALISASI PEMASARAN PRODUK Atlantika, Yeremia Niaga; Salfarini, Eligia Monixa; Gudiato, Candra; Yuda, Yuda; Ariana, Elisabet; Person, Jimmy
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 4 (2025): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i4.33466

Abstract

Abstrak: Permasalahan yang dihadapi Kelompok Wanita Tani (KWT) di wilayah kerja Balai Penyuluhan Pertanian (BPP) adalah belum maksimalnya produktivitas dan keterampilan dalam pengemasan ramah lingkungan serta pemasaran berbasis digital produk hasil KWT. Tujuan pengabdian ini adalah meningkatkan softskill dan hardskill anggota KWT melalui pendekatan pembinaan dan pendampingan berbasis GROW Coaching Model dalam upaya mengimplementasikan green economy di daerah perbatasan. Mitra pengabdian ini adalah KWT Tomat Intan dan Karya Tani. Metode yang digunakan meliputi sosialisasi, penyuluhan, workshop, dan praktikum dengan melibatkan 20 orang anggota KWT. Evaluasi dilakukan melalui observasi langsung dan kuesioner pra dan pasca kegiatan dengan menetapkan target capaian keberhasilan. Hasil pengabdian menunjukkan peningkatan kemampuan pengemasan dan pemasaran digital, dengan peningkatan softskill dan hardskill KWT dengan rata-rata Ketercapaian Target Pelaksanaan Program sebesar 89,03%. Selain itu, nilai ekonomis produk meningkat sebesar 40% pemanfaatan inovasi kemasan dan strategi pemasaran digital berbasis green economy. Pengabdian ini diharapkan dapat memperkuat kemandirian ekonomi anggota KWT secara berkelanjutan dan bersaing di daerah perbatasan negara.Abstract: The problems faced by the Women Farmers Group (KWT) within the working area of the Agricultural Extension Center (BPP) include suboptimal productivity and skills in environmentally friendly packaging as well as digital marketing of KWT products. The objective of this community service program is to enhance the soft skills and hard skills of KWT members through a guidance and mentoring approach based on the GROW Coaching Model to implement the green economy in the border regions. The partner groups involved are KWT Tomat Intan and Karya Tani. The methods employed include socialization, extension services, workshops, and practicums involving 20 KWT members. Evaluation was conducted through direct observation and pre- and post-activity questionnaires, with success targets established. The results demonstrated improved packaging and digital marketing capabilities, with an average program implementation target achievement of 89.03%. Additionally, the economic value of products increased by 40% due to innovations in packaging and green economy-based digital marketing strategies. This community service is expected to strengthen the economic independence of KWT members sustainably and enhance their competitiveness in the border regions.
Sistem Informasi Absensi Perangkat Desa di Kecamatan Bengkayang Rupina Rupina; Candra Gudiato
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 3 (2024): Agustus : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i3.3887

Abstract

Attendance and punctuality of employee attendance are often used as one indicators in employee performance assessment.Employee absenteeism has a big impact on work productivity in achieving company goals, especially in government agencies related to community services. Regarding the village apparatus in Bengkayang District, it is ONE of the government agencies that still carries out the attendance process manually so that data collection on attendance hours, entry hours, departure times, recapitulation of employee absences requires a relatively long time in the calculation and data search process. This manual attendance process is prone to causing incidents loss of data can affect the credibility of the data used to make employee absence reports. Based on these problems, something is needed employee attendance information system to manage data related to employee absences. The Employee Attendance Information System in this research was built using a qualitative method, where this method consists of the stages of problem analysis, system requirements, system requirements analysis, and system design. By implementing the village apparatus attendance information system in Bengkayang sub-district, it is hoped that it can help in managing employee attendance data and improve agency performance. Send feedback Side panels History Saved
Forest Fire Detection Based on Digital Imagery Using Convolutional Neural Network (CNN) Model Candra Gudiato; Aditya Pratama; Christian Cahyaningtyas
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9422

Abstract

This study explores the implementation of a Convolutional Neural Network (CNN) for automated forest fire identification using digital image processing. Utilizing the USTC 'Forest Fire' dataset, the research framework involved systematic data preprocessing, including a 70:30 training-validation split and the application of image augmentation techniques to enhance model robustness. The proposed architecture features a sequential design with dual convolution and pooling layers, integrated with ReLU and Sigmoid activations. Although initial training over seven epochs yielded a deceptive validation accuracy of 99%, granular performance analysis exposed critical limitations. Evaluation via a Confusion Matrix revealed that while the model excelled at identifying 'non-fire' scenarios, it struggled significantly with actual fire detection, failing to recognize 301 out of 331 fire instances. These results highlight a severe class imbalance issue, suggesting that standard accuracy metrics are insufficient for this application and emphasizing the need for more balanced sampling or advanced architectural adjustments in future fire detection systems.
Co-Authors Adha Maulana Aditya Pratama Aditya Pratama Ariana, Elisabet Cahyaningtyas, Christian Charitas Fibriani Deli, Anggelia Dima, Yansensius Reins Eko Sediyono Eligia Monixa Salfarini Hakiki, Rolland Roy Hindriyanto Dwi Purnomo Irwan Sembiring Kondang, Petronela Kurniati Kusnanto Kusnanto Kusnanto kusnanto kusnanto Listra Frigia Missianes Horhoruw Listra Frigia Missianes Horhoruw Manggu, Blasius Maya Sari Maya Sari Merryana Lestari Mira Mira Mira Mira Mira Mira Noviyanti Noviyanti, Noviyanti Noviyanti P Noviyanti P. Noviyanti. P Nurcahyo, Azriel Christian Oktoberrikho, Stevanus P, Noviyanti Person, Jimmy Purwanti, Benecta Ina Rendy Rupina Rupina Sabinus Beni Salfarini, Eligia Monixa santi thomas Silvester, Silvester Sri Yulianto Joko Prasetyo Totok Victor Didik Saputro Veronika, Defi Vuspitasari, Benedhikta Kikky Wahyu Prayitno Yeremia Niaga Atlantika Yerik Afrianto Singgalen Yuda, Yuda Yuliana Yuliana Yuliana