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All Journal CommIT (Communication & Information Technology) Jurnal Teknologi Informasi dan Multimedia G-Tech : Jurnal Teknologi Terapan JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Informatics, Electrical and Electronics Engineering Sewagati
Darmawan, Zakha Maisat Eka
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Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Peningkatan Kompetensi Pembuatan Animasi 2D pada Kru Studio Progresif TV untuk Iklan Pendek di PP Bumi Sholawat Sidoarjo Berbasis Project Based Learning Zikky, Moh; Rante, Hestiasari; Santoso, Tri Budi; Fathoni, Kholid; Sukaridhoto, Sritrusta; Zainuddin, Muhammad Agus; Susanto, Dwi; Sarinastiti, Widi; Anggraeni, Martianda Erste; Dianta, Ashafidz Fauzan; Darmawan, Zakha Maisat Eka; Faradisa, Rosiyah; Aji, Rendra Suprobo
Sewagati Vol 8 No 1 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i1.809

Abstract

Potensi industri kreatif di indonesia khususnya pada periklanan digital memiliki potensi yang sangat besar. Pada tahun 2023, belanja iklan mencapai $ 2,55 milliar. Saat ini industri periklanan lebih bervariasi, salah satunya dengan mengadopsi konsep animasi. Dengan menggunakan animasi, iklan lebih dinamis dan memiliki daya tarik visual. Namun ketersediaan SDM yang memiliki kompetensi di bidang animasi periklanan saat ini sangat terbatas. Politeknik Elektronika Negeri Surabaya, melalui Departemen Teknologi Multimedia Kreatif, Program Studi Teknologi Rekayasa Multimedia melakukan program pengabdian masyarakat berupa pelatihan pembuatan Iklan berbasis animasi 2D pada Progressive TV PP Bumi Sholawat Sidoarjo. Diharapkan dengan pelatihan ini mampu meningkatkan kompetensi SDM talenta digital di Indonesia Khususnya di Sidoarjo.
The Comparison of Deep Learning Models for Indonesian Political Hoax News Detection Rachmawati, Oktavia Citra Resmi; Darmawan, Zakha Maisat Eka
CommIT (Communication and Information Technology) Journal Vol. 18 No. 2 (2024): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v18i2.10929

Abstract

Indonesia is the world’s fourth most populous country and has a diverse sociopolitical landscape. Political fake news exacerbates existing social divisions and causes political polarization in Indonesian society. Hence, studying it as a specific challenge can contribute to broader discussions on the impact of fake news in different contexts. The researchers propose a hoax news detection system by developing a deep learning model with various lapses against a data set preprocessed using term-frequency and token filtering to represent the most prominent words in each class. The researchers compare the layers with the potential to have high performance in predicting the falsity of Indonesian political news data by observing the models based on training history plots, model specification, and performance metrics in the classification report module. The deep learning models include One-Dimensional Convolution Neural Networks (1D CNN), Long-Term Short Memory (LSTM), and Gated Recurrent Unit (GRU). The news data are obtained from the Kaggle site, containing 41.726 rows of data. Based on the experiments with the text data that has been preprocessed in the form of vectors and the specific parameters before starting, the results show that GRU achieves the highest performance value in accuracy, recall, precision, and F1 score. Although GRU becomes the model with the smallest file size, it is the slowest model to generate predictions from text news data. It also has a higher potential to be an overfitted model due to parameters than a simple RNN.
Peningkatan Kesadaran Kebersihan Melalui Game “Habertan” Pada Siswa Siswi Pesantren Muhyiddin Gebang Putih, Sukolilo, Surabaya Sudaryanto, Aris; Fathoni, Kholid; Hakkun, Rizky Yuniar; Revindasari, Fony; Safrodin, Mohamad; Nurindiyani, Artiarini Kusuma; Damastuti, Fardani Annisa; Sa’dyah, Halimatus; Zikky, Mohamad; Akbar, Zulhaydar Fairozal; Darmawan, Zakha Maisat Eka; Dianta, Ashafidz Fauzan; Hapsari, Veronica Lita
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 5 No. 4 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v5i4.2032

Abstract

Environmental cleanliness is an important aspect of life because if it is dirty it will become a breeding ground for disease and flooding. Gebang Putih and Keputih are areas prone to dengue fever and flooding in Surabaya. Therefore, the community service provides socialization of cleanliness to children with this Habertan Game. The game was chosen because it has been proven to influence human behavior. However, Habertan is designed to have a positive effect in the form of increasing awareness of environmental cleanliness. The participants of the activity were 30 students of Madrasah Pesantren Muhyiddin. This activity is expected to increase the knowledge and awareness of participants in waste management. Impact measurement was carried out by giving participants questions before and after the activity. Based on the data obtained, it was proven that 76.6% of participants experienced an increase in knowledge about waste management after participating in the socialization.
Implementasi Teknologi Interactive Projection Sebagai Media Tampilan Produk UMKM Dianta, Ashafidz Fauzan; Revindasari, Fony; Darmawan, Zakha Maisat Eka; Sudaryanto, Aris; Fathoni, Kholid
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 1 (2025): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i1.645

Abstract

To increase the attractiveness of promotion for small & medium enterprises, the use of exhibition booths is an effective tool to promote a product or service. With a limited booth size, it can limit the number of products or information that can be displayed. The number of participants at an exhibition makes booth owners have to compete hard to attract visitors' attention. The use of immersive technology through interactive booths is an innovative solution that answers marketing challenges in today's digital era. This study develops an interactive booth using Interactive Projection technology to create a new experience for visitors. This interactive booth creates an environment that seems real and allows visitors to interact directly with the product. Creating product information content that is presented in an interesting and interactive way can attract visitors' attention. The Villamil-Molina method is used in development, where this method is one of the popular methods in multimedia software development. The stages of this method consist of: development, pre-production, production, post-production, and delivery. The results show that interactive booths can be used as a realistic and attractive small & medium enterprises product promotion media for visitors, and can increase engagement, and provide an immersive experience. This technology can be used as a promotional media, as well as supporting the introduction of modern technology to the wider community. Thus, interactive booths have the potential to be an efficient alternative solution for small & medium enterprises in strengthening their brands and expanding their market reach.
Comparison of Machine Learning Classification Methods for Weather Prediction: A Performance Analysis Darmawan, Zakha Maisat Eka; Dianta, Ashafidz Fauzan; Fathoni, Kholid; Rachmawati, Oktavia Citra Resmi; Apriandy, Kevin Ilham
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6649

Abstract

Weather classification is crucial in various sectors, including agriculture, transportation, and disaster management. Accurate weather prediction can help mitigate risks and improve decision-making in these fields. However, classifying weather conditions remains challenging due to the complex and dynamic nature of meteorological data. This study aims to compare different machine learning classification methods to determine the most effective model for weather classification. The research employs a structured methodology consisting of seven key steps: literature study, data understanding, exploratory data analysis, data preparation, modeling, evaluation, and hyperparameter tuning. The study used Decision Tree, Random Forest, Support Vector Machine, K-Nearest Neighbors, Gradient Boosting, AdaBoost, and Extra Trees to identify the best-performing classifier. Model evaluation was conducted using accuracy, precision, recall, and F1-score. The results indicate that Gradient Boosting achieved the highest performance, surpassing other models with an accuracy of 90.15%. To optimize the model further, hyperparameter tuning was conducted using GridSearchCV, and feature selection was done using SelectKBest. This process resulted in an improved accuracy of 90.22%, demonstrating the effectiveness of model optimization.
EMASJID, APLIKASI CHATBOT ISLAMI DENGAN METODE RAG (RETRIEVAL-AUGMENTED GENERATION) Fathoni, Kholid; Sudaryanto, Aris; Syarif, Iwan; Darmawan, Zakha Maisat Eka; Yunanto, Andhik Ampuh; Prasetyo; Aji , Rendra Suprobo; Fauzy, Aryazaky Iman; Hakkun, Rizky Yuniar
Jurnal Teknik Elektro dan Informatika Vol 5 No 1 (2025): INFOTRON
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/infotron.v5i1.22894

Abstract

The development of a religious chatbot is crucial for fostering good understanding and mitigating potential social conflicts arising from religious misunderstandings. This study introduces the Intelligent Religious Assistant ChatBot, developed using the Retrieval-Augmented Generation (RAG) method within a Large Language Model (LLM). RAG combines information retrieval from authoritative sources integrated into a database with text generation to produce user-specific answers. The application has been fully developed and performance-tested, demonstrating its capability to provide accurate and contextually appropriate answers based on authoritative Islamic references endorsed by major Indonesian Islamic organizations, including Nahdlatul Ulama, Muhammadiyah, and the Indonesian Ulema Council (MUI).
Co-Authors Aji , Rendra Suprobo Aji, Rendra Suprobo Akbar, Zulhaydar Fairozal Andhik Ampuh Yunanto Anggraeni, Martianda Erste APRIANDY, KEVIN ILHAM Ashafidz Fauzan Dianta, Ashafidz Fauzan Damastuti, Fardani Annisa Dwi Susanto Faradisa, Rosiyah Fathoni, Kholid Fauzy, Aryazaky Iman iwan Syarif Nurindiyani, Artiarini Kusuma Prasetyo Rachmawati, Oktavia Citra Resmi Rante, Hestiasari Revindasari, Fony Rizky Yuniar Hakkun Safrodin, Mohamad Sa’dyah, Halimatus Sudaryanto, Aris Tri Budi Santoso Veronica Lita Hapsari Widi Sarinastiti Zainuddin, Muhammad Agus Zikky, Moh Zikky, Mohamad