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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik ITS Journal of Information Systems Engineering and Business Intelligence Konvergensi SISFO JSiI (Jurnal Sistem Informasi) Sewagati
Riksakomara, Edwin
Departemen Sisitem Informasi Institut Teknologi Sepuluh Nopember
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Journal : SISFO

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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.
BLENDED LEARNING DARI PERSPEKTIF PARA GURU SEKOLAH DI PONDOK PESANTREN Muklason, Ahmad; Mahananto, Faizal; Anggraeni, Wiwik; Djunaidy, Arif; Riksakomara, Edwin
SISFO Vol 8 No 2 (2019)
Publisher : Department of Information Systems, Institut Teknologi Sepuluh Nopember

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To survive the industrial revolution 4.0 which was marked by the massive use of digital technology, educational organizations are expected to do digital transformation. However, unfortunately it is commonly known that there is a gap in the use of technology in Indonesia between big cities and regions, between modern education system and traditional education system. To reduce this gap, blended learning technology training was held aimed for teachers in the Darul Ulum Islamic boarding school in Peterongan, Jombang. Pondok Pesantren Darul Ulum Islamic is a boarding school with almost 10,000 students. In the Darul Ulum Islamic boarding school its self there are various educational units ranging from primary school to higher education. This study focuses on investigating the online learning technology adoption by teachers in Islamic boarding school, especially their perspective on the technology. Our findngs showed that they are very ready to adopt the technology.
Co-Authors Achmad Ramadhani Adri Gabriel Sooai Ahlan Robbani, Shof Rijal Ahmad Muklason Amalia Utamima Amalinda Jayanty Arif Djunaidy Azhar Razak Denny Bintang Saputra Etria Sepwardhani Purba Faizal Mahananto Febriliyan Samopa Hamzah Muhammad Hanif Mitsal Mahatta Hardhika Propitadewa Haryanto Haryanto Jeremy Diaz Prasetyo Jihaan Harvi Habibah Kurniaji, Garis Narendra Laura Wilhelmina Theresia M. Fiqri Ananda M. Rayhan Brameswara Maulana Dhawangkhara Mochamad Zidan Aqila Kamil Mochammad Yusuf Habibi Muhammad Ali Fikri Muhammad Arif Nuriman Muhammad Asvin Imaduddin Muhammad Daffa Maulana Muhammad Hisyam Muhammad Reza Pahlawan Naufal Abdurahman Naufal Rafiawan Basara Nazriyah Deni Tsaniyah Nur Aini Lestari Nur Khofifah Nur Laila Nur Nindya Risnina Perdana, Muhammad Ilham Pramesti Putri Premananda, I Gusti Agung Pujiadi Pujiadi Pujiadi, Pujiadi Radityo Prasetianto Wibowo Rahma Fauzia Raras Tyas Nurita Raras Tyasnurita Retno A. Vinarti Retno Aulia Vinarti Rifqi Luthfiansyah Septica Tiara Indah Permatasari Siti Aminatus Zehroh Sudiarti, Yeyen T, Lulus Condro Tresnaning Arifiyah Tri Achmadi Wiwik Anggraeni Wiwik Anggraeni Wrahatnala, Ery Sadewa Yudha