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Journal : eProceedings of Engineering

Klasifikasi Kualitas Air Sungai Citarum Menggunakan Metode K-Nearest Neighbors, Support Vector Machine, dan Random Forest Sugandi, Delatifa Putri; Kallista , Meta; Wibawa, Ig. Prasetya Dwi
eProceedings of Engineering Vol. 11 No. 3 (2024): Juni 2024
Publisher : eProceedings of Engineering

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Abstract

Sungai merupakan sumber kehidupan dilingkungan sekitar baik untuk keperluan rumah tangga,pertanian maupun industri. Karena sungai memiliki perananyang begitu penting, maka perlu dilakukan pemeliharaankualitas air agar tidak berdampak buruk bagi lingkungansekitar. Padahal, kualitas air Sungai Citarum pernah menjadisungai paling tercemar dan kotor di dunia. Kualitas air sungaidapat ditentukan dengan menghitung nilai indeks pencemaransecara manual. Namun, metode perhitungan manual dianggapmembutuhkan waktu yang lama. Oleh karena itu, diperlukansuatu teknik yang efektif untuk mengukur kualitas air sungai.Machine learning dipilih sebagai salah satu teknik yangdiusulkan untuk mengklasifikasikan kualitas air sungai. Tigametode klasifikasi diterapkan dalam penelitian ini. K-NearestNeighbors, Support Vector Machine, dan Random forest. Setalahdilakukan pengujian, didapatkan kesimpulan bahwamenggunakan random forest memberikan hasil yang lebih baikantara metode K-Nearest Neighbors dan metode Support VectorMachine dengan akurasi sebesar 99,24% dan jika modelrandom forest tersebut ditambahkan dengan metode AdaBoostmaka akurasi meningkat menjadi 99.34%. Kata kunci— Klasifikasi, Kualitas Air Sungai, KNN, SVM, Random forest.
Natural Disaster Monitoring Information System From Social Media Data Using Naïve Bayes Algorithm Aina, Brilliant Friezka; Kallista, Meta; Wibawa, Ig. Prasetya Dwi
eProceedings of Engineering Vol. 11 No. 3 (2024): Juni 2024
Publisher : eProceedings of Engineering

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

Abstract

In Indonesia, there have been several naturaldisasters, such as earthquakes, tsunamis, landslides, floods, andothers. Because Indonesia is situated where the Eurasian,Pacific, and Indo-Australian plates converge, this potentialnatural disaster is caused by this location. Social mediainformation is expanding quickly and becoming more useful.Social media helps to alert people of the disaster's locationduring a disaster like a flood. Twitter is used as a data searchengine in this work. Twitter has been utilized effectively toupdate the public on current events during emergencies. Inorder to learn more, we can conduct a search using pertinenthashtags to determining for the incident's location. The test'sresults will show a map of the Indonesian region, and thedisaster's epicenter will be determined using the geolocationprovided by the tweet data. The Naive Bayes approach will beused for classification. The clustering process occurs in real timeacross every region of Indonesia. In this investigation, theaccuracy value was 75% based on the k-fold cross-validationtest, utilizing a fold value of 3. Keywords—Natural disasters, Twitter, Naïve Baiyes.
Co-Authors Abdul Latif, Muhammad Achmad Rizal Achmad Rizal Addinul Rafif Nufrinal Aditya, Muhammad Billy Adnanqays G. Riyadhi Adnanqays Graha Riyadhi Agung Surya Wibowo Aina, Brilliant Friezka Akbar, Andi Muhammad Rezky Akbar, Muh. Aldila Ersa Samapta Amanullah Bahtiar, Mohammad Rizky Fauzan An – Nisaa, Siti Andre Suryaputra Angga Rusdinar Asry Fahriza Hani Pinem Cahyantari Ekaputri Dami Mahardiwana Desri Kristina Silalahi Dhani Eka Putra Subekti Edwar Ekki Kuniawan Ekki Kurniawan Epo Ilham Ajiprasetyo Erwin Susanto Ester Roselin Ambarita Fajar Ridho Wicaksono Fajar Surya Permana Falih Asyrafi Fanio Prambudi Fatanaja Abrar, Hanan Fiky Y. Suratman Fujitson Simamora Ganga Ram Phaijoo Gede Eka Adi Sanjaya Ghazali, Arman Hamiedah, Muthi’ah Atsari Harry Wijaya Fauzi Hilmy Dzul Faqar Ijon Posmarohatta Sinaga Indra Laksana Irfan Fauzi Aristianto Junartho Halomoan Khalid Irta Tamara Khalisheka, Daffa Asyqar Ahmad Kusumah, Zaky Ibnu Lulu Danisia M. Bayu Oktodwilavito Martuahman, Fransiskus Alexander Meiska, Ivana Meta Kallista Michael Miftah Abdullah Mohamad Ramdhani Mohammad Ramdhani Muh Ichsan Kamil Muhammad Arsil Ghafur Muhammad Iqbal Muhammad Irfaan Hadi Muhammad Reza Elang Erlangga Muhammad Reza Hammady Muhtar, Ahmad Fauzan Mulia, Thasya Naf’an, Syifa Melinda Neina Oktavia Sariningsih Nugroho, Ginaldi Ari Porman Pangaribuan Purnama, Badi Rafli Rizky Putra, Aditiya Nicola Putra, Giovano Trihade Putra, Rio Mandala Nuryan Ramdhan Nugraha Ramdhan, Mohammad Rizki Ramdhani, Agung Sulaksono Rebecca Chittra Widyaparamitha Reza Aristyo Pramudita Rezza Aji Saputra Ria Juliani Dewi Rifki Nurgraha Rio Fernando Rizki Ardianto Priramadhi Sagita, Elvira Saputra , Ariq Nurcahyo Septa Muhammad Rivaldy Sony Sumaryo Sugandi, Delatifa Putri Sukiman, Wahyu Mubarak Wahid, Zulian Wahmisari Priharti Wardhana, I Made Bayu Satria Yasir , Yusran Yusuf Pratama Ari Wiyono Zulaikha Zulaikha Zulfany, Aprilla Nurindah