Claim Missing Document
Check
Articles

KLASIFIKASI TUTUPAN LAHAN PADA CITRA SENTINEL-2 DI KAWASAN IKN MENGGUNAKAN GOOGLE EARTH ENGINE Al Fathoni, Hanif; Junaidi, Achmad; Prima Aditiawan, Firza
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13652

Abstract

Pemerintah Indonesia telah meresmikan pemindahan Ibu Kota Negara (IKN) ke Nusantara melalui Undang-Undang Nomor 3 Tahun 2022. Nusantara dirancang sebagai simbol identitas nasional dan pusat pertumbuhan ekonomi dengan konsep keberlanjutan. Pemindahan ini berdampak pada tata ruang, infrastruktur, dan lingkungan, sehingga analisis tutupan lahan menjadi krusial untuk memastikan perencanaan yang efisien. Penelitian ini bertujuan untuk mengklasifikasikan tutupan lahan di kawasan IKN menggunakan citra satelit Sentinel-2 dan teknologi Google Earth Engine (GEE). Algoritma yang digunakan adalah Random Forest (RF) dan Support Vector Machine (SVM), dengan ekstraksi fitur berbasis indeks spektral NDVI, NDBI, dan NDWI. Teknik cloud masking dengan QA Band diterapkan untuk meningkatkan kualitas data sebelum analisis lebih lanjut. Tahapan penelitian meliputi pengumpulan dan pre-processing data citra Sentinel-2, ekstraksi fitur, pembuatan dataset latih dan validasi, serta proses klasifikasi menggunakan algoritma RF dan SVM. Evaluasi dilakukan dengan metrik akurasi, presisi, recall, dan F1-score untuk menentukan model terbaik. Hasil penelitian menunjukkan bahwa model RF dengan 100 pohon (RF_100trees) dan SVM dengan kernel linear (SVM_LINEAR) memiliki akurasi validasi terbaik sebesar 88%. RF unggul dalam kestabilannya dengan jumlah pohon yang besar, sementara SVM lebih sensitif terhadap pemilihan parameter kernel. Kesimpulannya, kedua model ini efektif dalam klasifikasi tutupan lahan kawasan IKN.
Design and Development of a Counseling Service System Using Extreme Programming Methodology Nobrian, Ikhsan; Nurlaili, Afina Lina; Aditiawan, Firza Prima
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2928

Abstract

This study addresses the inefficiency and error-prone nature of manual counseling and student violation point recording processes in schools, which often result in delays and inaccuracies. To overcome these challenges, we propose the development of a digital guidance and counseling service system designed to improve data management and enhance service accessibility for school administrators and counselors. The innovation lies in the creation of an integrated, browser-accessible application built using the MERN (MongoDB, Express.js, React, Node.js) stack, which ensures robust functionality and scalability. By applying modern development and testing methodologies, the system is designed to be both reliable and user-friendly. The core objective of this system is to streamline processes such as counseling appointment scheduling, alumni tracking, certificate submission, and student behavior reporting. It was developed using the Extreme Programming (XP) methodology, which encourages flexibility and iterative planning through close collaboration with end users. White Box Testing techniques, including cyclomatic complexity analysis and independent path testing, were employed to validate the system's internal logic. The system’s usability was assessed using the System Usability Scale (SUS), achieving an excellent score of 93.25, indicating high user satisfaction. Furthermore, the Lighthouse performance test yielded a perfect score of 100, confirming the system's high responsiveness. These results demonstrate that the developed system significantly enhances the efficiency, accuracy, and accessibility of guidance services, reduces administrative burdens, and enables better monitoring of student development, making it ideal for deployment in real-world school environments.
Application of IoT-based Intelligent Control Devices Empowered with Fuzzy Inference System in the Garment Industry Rizki, Agung Mustika; Ashari, Faisal; Yuliastuti, Gusti Eka; Haromainy, Muhammad Muharrom Al; Aditiawan, Firza Prima; Amnur, Hidra
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3344

Abstract

The garment industry in Indonesia has experienced significant development in recent years. A critical aspect of this development is the increasing role of Micro, Small, and Medium Enterprises (MSMEs). Swari Garment Industries (SGI) is an example of an MSME that focuses on the garment sector. In practice, various problems and negligence can affect the course of the production process. One potential issue is using the machine inappropriately or excessively, which can lead to a short electrical circuit. Short electrical circuits are one of the problems that must be faced because they can cause various severe impacts, including equipment damage and even fire. Based on this risk analysis, a possible solution to be applied to SGI, one of the MSMEs in the garment sector, is the implementation of an intelligent control device. The implementation of intelligent control tools based on the Internet of Things (IoT) can enhance the efficiency of the production process and mitigate significant risks to workers and the environment. The Fuzzy Inference System, in which the equity, temperature, and humidity are the input values of the Intelligent Control Device. A hardware device for temperature and humidity control, accessible through an Android phone application, was implemented in SGI. Experiments have verified that we can achieve excellent results. The average percentage of temperature measurement error was 0.2% and for humidity, 0.26%. The average percentage of measurement error from the comparison between the system and MATLAB is 0.49%.
Modeling Technology Acceptance for Agribusiness Education and Practices in East Java Aditiawan, Firza Prima; Fauzi, Akhmad; Mubarokah; Susrama, I Gede
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September: In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.12511

Abstract

This study develops and validates a model for understanding technology acceptance and use in the agribusiness sector of East Java, Indonesia, using the Unified Theory of Acceptance and Use of Technology (UTAUT) as the foundation. The research analyzed Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Behavioral Intention, Use Behavior, Techno Skepticism, and Local Wisdom with data from 207 farmers in Pasuruan Regency, applying PLS-SEM. Results showed that Performance Expectancy and Effort Expectancy were the strongest predictors of Behavioral Intention, while Local Wisdom significantly moderated the relationship between intention and use. Techno Skepticism had a negative effect on intention. The extended UTAUT model thus provides a context-specific framework for agribusiness in developing countries. These findings offer practical implications for education, training, and agricultural policy by aligning digital innovation with local socio-cultural realities.
Co-Authors Achmad Junaidi Adzanil Rachmadhi Putra Afina Lina Nurlaili Agil Sakinah, Fenti Agung Mustika Rizki Agung Mustika Rizki Agung Mustika Rizki, Agung Mustika Akbar, Fawwaz Ali Akhmad Fauzi Al Fathoni, Hanif Alit, Ronggo Andreas Nugroho Sihananto Anggraini Puspita Sari Anggriawan, Teddy Prima Aniisah Eka Rahmawati Ardilla, Aufa ASHARI, FAISAL Astrini Aning Widoretno Boy Diego Lumwartono Davila Erdianita Dimas Putra Andaru Dwi Arman Prasetya Dwi Rahma Putri, Septiani Eka Prakarsa Mandyartha Eka Zuni Selviana EKO WAHYUDI Eko Wahyudi Eriyansyah Yusuf Suwandana Fetty Tri Anggraeny Firmansyah Firdaus Anhar Gusti Eka Yuliastuti Hamidah Hendrarini Hardianto, Eragradiansyah Henni Endah Wahanani Herdi Rofaldi Hidra Amnur I GEDE SUSRAMA Idhom, Mohammad Iriansah, Ogy Rachmad Khairil Amin, Mohammad Lina Nurlaili, Afina Made Hanindia Prami Swari Mafaza, Rima Muttaqina Mahanani, Anajeng Esri Edhi Maulana, Hendra Mubarokah Muhammad Eko Prasetyo Muhammad Izdihar Alwin Muhammad Izdihar Alwin Muhammad Muharrom Al Haromainy Mustika Rizki, Agung Muttaqin, Faisal Muttaqin, Faisal Nabila Sya’bani Wardana Nobrian, Ikhsan Nugroho Gultom, Wahyu Nugroho Sihananto, Andreas Nur Aini Ersanti Nurlaili, Afina Lina Pradana Ariando, Aldo Pratama Wirya Atmaja Puspaningrum, Eva Y Rahmawati, Aniisah Eka Raviy Bayu Setiaji Retno Mumpuni Rizqulloh Zain, Muhammad Dhiya'ulhaq Samdono, Arif Saputra, Wahyu Syaifullah Jauharis Shabika Aqmarina, Azzuraa Soedarto, Teguh Suci Ismiati Suprapto, Claudia Millennia Vita Via, Yisti Wicaksa Putra Pribadi, Achareeya Winata, Chycik Ayu Wirya Atmaja, Pratama Yunizar, Sri Fatmawati