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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Simantec Jurnal Informatika dan Teknik Elektro Terapan Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komtika (Komputasi dan Informatika) Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Komputasi dan Teknologi Informasi CSRID (Computer Science Research and Its Development Journal) Jurnal IMPACT: Implementation and Action Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Jurnal Informasi dan Teknologi JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Tematik : Jurnal Teknologi Informasi Komunikasi Journal of Computer Networks, Architecture and High Performance Computing Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Walisongo Journal of Information Technology Jumat Informatika: Jurnal Pengabdian Masyarakat Majalah Ilmiah UPI YPTK Jurnal Media Informatika TIERS Information Technology Journal Jurnal Informatika Dan Tekonologi Komputer (JITEK) Digital Transformation Technology (Digitech) Adpebi Science Series INSTALL: Information System and Technology Journal
Finki Dona Marleny
Universitas Muhammadiyah Banjarmasin
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Neuroscience Social Sciences Transportation Other

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Journal : Tematik : Jurnal Teknologi Informasi Komunikasi

 1 
Sosial Media Analisis Berbasis NLP Untuk Mempercepat Tanggap Bencana Banjir Marleny, Finki Dona; Mambang
TEMATIK Vol 9 No 1 (2022): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2022
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v9i1.897

Abstract

Flood disasters that are monitored in real-time on social media can be seen to report directly the condition of the affected areas. Areas that have been warned to be affected by the floods were informed via social media. Surrounding areas that are likely to be affected can be more vigilant by directly speeding up information and getting responses from social media users who are around flood-prone areas. The research aims to provide visualization models that can accelerate flood response information from disaster management, track disasters with increasing vigilance, and accelerate flood disaster recovery with analysis on social media. The approach used with Natural Language Processing (NLP), a data source derived from posts on Instagram is taken for analytical materials. Data sources from Instagram with flood hashtags in Kalimantan are used by using the Natural Language Processing (NLP) process stage to get core information visualizations to speed up flood response information. Visualization of social media data information used based on extracting information from Instagram posts, responses, and hashtags to speed up information provides troubleshooting and the importance of speeding up flood response information. The results of data visualization can accelerate disaster response information to increase awareness of the condition of the surrounding area that can be affected by floods, it can be seen that the amount of data on the hashtag provides data visualization information in accelerating flood disaster management from disaster tracking to disaster recovery.
Segmentasi Citra Keretakan Dinding Beton Menggunakan Teknik Perbandingan Evaluasi Metrik Marleny, Finki; Muhammad Fitriansyah; Sa’adah; Winda Astria Nuansa Saputri; Rudy Ansari; Mambang
TEMATIK Vol 10 No 1 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v10i1.1261

Abstract

Masalah yang umum ditemui pada bangunan adalah keretakan dinding beton. Berbagai faktor yang mempengaruhi keretakan dinding baik secara halus atau keretakan yang parah. Kerusakan pada dinding beton dapat di deteksi dini dengan berbagai teknik. Segmentasi citra dapat digunakan untuk mempercepat dan mempermudah deteksi keretakan pada dinding beton. Dalam analisis deteksi keretakan pada dinding beton, segmentasi citra digunakan untuk memisahkan area yang berbeda pada citra, seperti area keretakan dan area non-keretakan. Setelah itu, analisis lebih lanjut dilakukan pada area keretakan untuk menentukan karakteristik keretakan seperti panjang, lebar, kedalaman, dan orientasi. Segmentasi citra keretakan dinding beton dapat di evaluasi melalui evaluasi metrik dengan berbagai metode. Penerapan segmentasi citra untuk deteksi keretakan pada dinding beton dapat mempercepat proses inspeksi dan memperoleh hasil yang lebih akurat. Teknik segmentasi citra yang digunakan dalam proses ini adalah menggunakan teknik perbandingan evaluasi metrik untuk dapat melakukan proses segmentasi citra keretakan dinding beton. Hasil uji segmentasi citra akan membandingkan tiga metode segmentasi citra. Segmentasi citra merupakan segmentasi yang berbeda dengan karakteristik tertentu, yaitu menggunakan pendekatan DAS, canny filter, dan metode kontur aktif geodesik morfologi dalam evaluasi metrik. Untuk mengetahui tingkat keberhasilan dalam proses segmentasi citra menggunakan precision-recall, yang berfungsi untuk mengevaluasi kualitas output dari citra.
Prototipe Sistem Deteksi dan Monitoring Penurunan Muka Tanah Pada Lahan Pertanian Gambut Berbasis IoT Aulia Fitri; Yulisa Suryana; Ade Putri Maharani; Elisa Fitriana; Ihsanudin; Rudy Ansari; Finki Dona Marleny
TEMATIK Vol. 10 No. 2 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

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

Abstract

Agriculture on peatlands has great potential to meet food and economic needs but also requires attention to sustainable management. Agriculture on peatlands faces several serious challenges. Peatlands tend to be fragile, with risks of subsidence, fire, and degradation. To overcome the problem of land subsidence in peatland agriculture, action, integration from various parties, and proper monitoring are needed. IoT systems integrated with soil level monitoring can help minimize peatland destruction and improve agricultural sustainability. From the problem of land subsidence in peat farmland, a solution to monitor land subsidence is proposed as a prototype system to detect and monitor land subsidence on peat agricultural land. This system uses an integrated sensor system designed on Arduino and integrated with the web to facilitate the monitoring process. The prototype is designed according to the characteristics of peat farmland. The results obtained from this prototype can vary depending on the complexity of the system and the data collected, from the results of trials and simulations carried out by this system prototype can be an alternative in increasing the productivity and sustainability of peatland while reducing the risk of environmental damage. In the long term, these results can also have a positive impact on agricultural sustainability and peatland sustainability.
Co-Authors Ade Putri Maharani Adha, Muhammad Iqbal Ahadi Ningrum, Ayu Ahmad Faisal Hamidi Ahmad Hidayat Ahmad Hidayat Ahmad Riki Renaldy Akhmad Baddrudin Antonia Yenitia Aqli, Ahmad Aulia Fitri Aulia Fitri Aulia Fitri, Aulia Ayu Ahadi Ningrum Bambang Lareno, Bambang Bayu Nugraha Bima Wicaksono Damayanti, Alfisah Dixky Dixky Elisa Fitriana Fitriansyah, Muhammad Gazali, Mukhaimy Hamdani Hamdani Haniffah Sri Rinjani Hudatul Aulia Ihdalhubbi Maulida Ihsanudin Indah Wulandari Jaya Hari Santoso Johan Wahyudi Johan Wahyudi, Johan Kamaruddin Kamarudin Kartika Kartika Liliana Swastina Lufila, Lufila M Samsul Hasbi M Samsul Hasmi Maman Fatahulrahman Mambang Mambang Fitriansyah Maria Ulfah Maulida, Ihdalhubbi Meila Izzana, Meila Melda Melda Miranda Miranda Muhammad Khairul Akbar Muhammad Noval Muhammad Riduan Syafi’i Muhammad Satrio Ayuba Muhammad Tantowi Jauhari Muhammad Zaini Bakri Muhammad Ziki Elfirman Muhammad Ziki Elfirman Muhammad Zulfadhilah Mukhaimy Gazali Mutmainah Mutmainah Nahdi Saubari Nalo Valentino Ningrum, Ayu Ahadi Nor Azizah Novita Sari Novriansyah, Irvan Nur Hafiz Ansari Nur Meilianti Maulida Nurhaeni Nurhaeni Prastya, Septyan Eka Putri Putri Putri Putri, Putri Rahmini Rahmini Reni Emiliya Ricardus A P, Ricardus A Risma Maulida Risma Risma Rismawati Rismawati Rizkian Muhammad Fikri Ropikah Ropikah Rudy Ansari Rudy Ansari Rudy Ansari, Rudy Samita, Mambang Sandro Nesta Pembriano Sa’adah Sa’adah Septian Eka Prastya Septyan Eka Prastya Septyan Eka Prastya Subhan Panji Cipta Susanti, NurAina Tasya Salsabila Theresia Kurniati Seran Tiara, Astia Rahma Tumanggor, Agustina Hotma Uli Winda Astria Nuansa Saputri Winda Astria Nuansa Saputri Windarsyah Windarsyah Wulandari Febriani Yulisa Suryana Yuslena Sari, Yuslena