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All Journal Jurnal Informatika Jurnal Teknik ITS IPTEK Journal of Proceedings Series JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Systems Engineering and Business Intelligence Jurnal IPTEK Jurnal Teknologi Proses dan Inovasi Industri Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal Teknologi Proses dan Inovasi Industri Network Engineering Research Operation [NERO] Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Sebatik SISFO JURNAL TEKNOLOGI DAN OPEN SOURCE Zonasi: Jurnal Sistem Informasi Malcom: Indonesian Journal of Machine Learning and Computer Science Sewagati Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Febriliyan Samopa
Departemen Sistem Informasi Institut Teknologi Sepuluh Nopember
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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ANALISIS KINERJA METODE ANFIS UNTUK PERAMALAN KASUS DEMAM BERDARAH DI KABUPATEN MALANG Anggraeni, Wiwik; Kurniaji, Garis Narendra; Riksakomara, Edwin; Samopa, Febriliyan; Wibowo, Radityo Prasetianto; T, Lulus Condro; Pujiadi, Pujiadi
SISFO Vol 7 No 3 (2018)
Publisher : Department of Information Systems, Institut Teknologi Sepuluh Nopember

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Abstract

Demam Berdarah Dengue (DBD) di Kabupaten Malang saat ini telah menjadi kejadian luar biasa nasional di Kabupaten Malang. Pemerintah Malang sudah melakukan upaya preventif untuk menekan jumlah penderita, namun penderita DBD tetap besar. Dibutuhkan peramalan jumlah penderita sebagai dasar informasi untuk tindakan mitigasi (sistem peringatan dini). Penelitian ini mempunyai tujuan untuk menerapkan metode Adaptive Neuro Fuzzy Inference System (ANFIS) untuk meramalkan jumlah penderita demam berdarah dan kemudian mengetahui bagaimana kinerja metode tersebut dari segi akurasi dan kemampuan mengikuti pola. Dalam melakukan prediksi, daerah di Kabupaten Malang dikelompokkan menjadi 3 berdasarkan ketinggian daerah, yaitu Malang Rendah, Malang Sedang, dan Malang Tinggi. Hasil penelitian menunjukkan bahwa nilai Mean Absolute Percentage error sebesar 19% untuk daerah Malang Rendah, 24% untuk Malang Sedang dan 15% untuk Malang Tinggi. Sedangkan Mean Directional Accuracy sebesar 50% untuk Malang Rendah, 42% untuk Malang Sedang dan 42% untuk Malang Tinggi.
PERBANDINGAN ALGORITMA KEMIRIPAN TEKS UNTUK PERBAIKAN DAN SARAN PENULISAN FRASA DALAM BAHASA ALAMI Sembilu, Nambi; Samopa, Febriliyan; Er, Mahendrawathi
SISFO Vol 8 No 1 (2018)
Publisher : Department of Information Systems, Institut Teknologi Sepuluh Nopember

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Abstract

Natural Language Processing (NLP) is a branch of science Aritificial Intelligence (AI) that focuses on natural language processing. Natural language is the language generally used by humans to communicate with each other. One of the problems in the use of natural language that is write error the word nor the structure of the word in a sentence. It also results in natural language processing into a computer is not able to get maximum results. So, to solve that problem in this research applies the Algorithm Oliver, LCS Algorithm (Longest Common Subsequences) of the Levenshtein Distance Algorithm and for improvement of writing as well as advising the writing. The results of the application of the Algorithm is shown in the third a simple application with a natural language interface as stuffed. The third test of the Algorithm shows good performance with the average ROC curve above 0.80. Then by comparing the performance of the Algorithm, the third is obtained that the LCS Algorithm has better performance in overcoming problems repair write error and the giving of advice with the indicated value of the ROC curve 0948.
Co-Authors Ade Afrian Adhitya Wiratama Aginta Geniusa Ahmad Sahrizal Ahyudanari, Ervina Akbar, Izzat Aulia Alfie Satria Hidayat Almira Filiazsanti Alwi Alwi Amna Shifa Nisafani Anindya Dwi Lestari Sugianto Arif Setiyanto Ary Mazharuddin Shidiqy Aryananda, I Gusti Agung Oka Bambang Setiawan Bambang Setiawan Bekti Cahyo Hidayanto Beny Yulkurniawan Victorio Nasution Berta Sihite Budi Kurniawan Candra Dwi Aprida Chaq, Usaid Syawahidul Damar Pradiptojati Darlis Heru Murti Dewantara, Purnomo Yogi Dharmawan, Yogantara Setya Diana Purwitasari Eko Sigit Purnomo Ervina Chintia Fahrir Rijal Fahmi Maulana Febrian Wahyutama Febriyanti, Kadek Dwi Fino Nurcahyo Nugrohoadi Firman Fathoni Hanim Maria Astuti Hari Rakhmanto Zauhar Hatma Suryotrisongko Hendro Tri Utomo Hindrawan Aris I Gusti Bagus Rogeri Ariefianto Imam Kuswardayan Iwang Aryadinata Khakim Ghozali Kurniaji, Garis Narendra Liga Awami M. Taufiqur Rohman Maemonah, Maemonah Mahendrawathi ER Mochamad Rahman Irwandi Muhammad Ridho Bintang Janaputra Nehemia Sugianto Nina Yuliastuti Nisfu Asrul Sani Noval Aditya Muhammad Novi Prastiti Nur Aini Lestari Nur Aini Rakhmawati Okhi Oktanio Perkasa, Ramadhani Tegar Prastiti, Novi Pratama, Rayandra Yala Pujiadi Pujiadi Pujiadi, Pujiadi Purnomo Yogi Dewantara Rachmat Gerhantara Radityo Prasetianto Wibowo Ramadhan Erry Pranata Riksakomara, Edwin Rita Ambarwati Sukmono Romeo Romeo Royyana M. Ijtihadie Royyana Muslim Ijtihadie Sembilu, Nambi Sholiq Siti Aminatus Zehroh Supriyanto, Supriyanto T, Lulus Condro Terry Oktora Tresnaning Arifiyah Triyono Triyono Wahyudiono Wahyudiono Wawan Mardian Whildan Zainudin Wiratama, Adhitya Wiwik Anggraeni Yonatan Jaya Oemar Yulianawati Yulianawati Yupit Sudianto