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All Journal Jurnal Teknologi dan Manajemen Informatika Pro Bisnis Jurnal Komputer Terapan Jurnal Teknoinfo MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL TEKNOLOGI INFORMASI Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Kumawula: Jurnal Pengabdian Kepada Masyarakat Manhaj: Jurnal Penelitian dan Pengabdian Masyarakat Visual Heritage: Jurnal Kreasi Seni dan Budaya ABSYARA: Jurnal Pengabdian Pada Masyarakat Jurnal Pengabdian Mitra Masyarakat (JPMM) Formosa Journal of Computer and Information Science Journal of Multimedia Trend and Technology Jurnal Pengabdian Kepada Masyarakat Radisi Jurnal Rekayasa Informasi Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Edu Komputika Journal
Argiyan Dwi Pritama
Universitas Amikom Purwokerto
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Social Sciences Other

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Utilisation of Analytic Hierarchy Process in Determining Natural Disaster Evacuation Points Sandhy Fernandez; Muhamad Awiet Wiedanto Prasetyo; Argiyan Dwi Pritama
Edu Komputika Journal Vol. 11 No. 2 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i2.10163

Abstract

The positive impact of the dry season in Indonesia is that the tourism sector, which prefers to travel to beaches, islands and other tourist attractions, becomes busier and activities such as surfing and diving are usually better during the dry season. Another negative impact is the natural disaster of forest fires and dry peatlands which are highly flammable and cause damage to the natural environment, reduce air quality and threaten wildlife habitats. The most frequent natural disasters in Indonesia are floods, which have a significant impact on health problems because polluted flood water can cause water diseases such as diarrhea, skin infections and even threaten people's lives. Determining the best evacuation point in the context of disaster mitigation is a complex and critical decision. The Analytic Hierarchy Process (AHP) method is a decision analysis method that makes it possible to compare several different criteria that are relevant in decision making, very helpful for determining the most effective alternative. The existing calculation results are added from each existing sub-criteria, the Supermarket alternative result is 0.27, the Hill alternative result is 0.45, the Health Center alternative result is 0.03, the Place of Worship alternative result is 0.30, the Government Building alternative result is 0.28. If the largest value is ranked to the smallest value, Alternative Bukit is the best evacuation place in the event of a natural disaster. 
Meningkatkan Rasa Nasionalisme Siswa Melalui Game Base Learning Anugerah Bagus Wijaya; Suliswaningsih Suliswaningsih; Argiyan Dwi Pritama
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 19 No. 1 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v19i1.496

Abstract

The birth of Game Based Learning take a new prespective to learing method while using a Game for learning proccess. This is a good opportunity for lecturer and theacher to increas and update their learning instrument that can be used. Some studies about game founded the approach of through the medium of games of the match learning in a significant way capable of effecting the improve achievement , the motivation to study , and the level of satisfaction in the style of of students to study. This study focused on increasing students nationalism through the game base learning in learning procces for Senior high students where players trained to make a deccision, analyze, and decide own attitude in the games. This game based learning research apply for learning nationalism lessons consists of four phases, design phase, data collection stage, the analysis and discussion stage phase, the documentation and research results phase. To stage of game design base learning with learning and analysis mapping game mechanics for serious games analysis (LM-GM) as the mapping of learning in the game. The purpose through this game is learning from the game play can be shown that the approach proposed effectively gives understanding of learning that given. In addition, also found that game is can help students studies learning the history.
Enhancing Waste Classification with MobileNetV2: Adding a Plastic Sachets Class for Sustainable Management Argiyan Dwi Pritama; Velizha Sandy Kusuma; Wiga Maulana Baihaqi; Pungkas Subarkah
Edu Komputika Journal Vol. 12 No. 1 (2025): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v12i1.18931

Abstract

The issue of waste management remains a critical concern due to its adverse impact on the environment. This research enhances a deep learning-based waste classification model by introducing a new class, namely plastic sachets, to broaden the classification scope and increase the model's relevance to waste types commonly found in the community. The dataset used is an extended version of a previous open-source dataset, comprising 2,968 images divided into seven classes. Data preprocessing steps include stratified data splitting, data augmentation to increase image diversity, and pixel normalization. The model adopts the MobileNetV2 architecture through a transfer learning approach, utilizing 2D Global Average Pooling and Dense layers with softmax activation for multi-class classification. Evaluation using precision, recall, and F1-score demonstrated strong performance, with an overall accuracy of 97%. While the model performs well across most classes, further improvement is needed for minority classes such as plastic sachets. This study highlights the promising potential of deep learning in supporting automated waste sorting to promote sustainable waste management practices in Indonesia.
Co-Authors Anugerah Bagus Wijaya Anwar Budhi Dharmawan Banu Dwi Putranto Darso Darso Dhanar Intan Surya Saputra Didit Suhartono Doni Fajar Ramadan Doni Hidayat Fiby Nur Afiana Gustin Setyaningsih Hafidz Wibisono Hellik Hermawan Ika Ayu Pratiwi Ika Romadoni Yunita Ikhwan Fahrial Selofianto ilham albana Irfan Rifai Aziz Irma Nur Cahyani Lutfi Nugroho Luthfi Nurrohman Muhamad Awiet Wiedanto Prasetyo Muhammad Abdul Kafi Thosien Muhammad Ikhsan Maulana Pandu Praditya Galih Pungkas Subarkah Puteri Johar Aunillah Rafi Rahmat Dani Ranggi Praharaningtyas Aji Resti Nur Azizah Retno Waluyo Rida Purnama Sari Rifa Alfazri Risqi Dwiarto Rois Apriantoni Saeful Haq Faruqi Saeful Hidayat Sandhy Fernandez Sharly Rizka Anizza Suliswaningsih Toni Anwar Tri Mardani Velizha Sandy Kusuma Virgiawan Virgiawan Wiga Maulana Baihaqi