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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Simantec Generation Journal JITU : Journal Informatic Technology And Communication Joutica : Journal of Informatic Unisla Dedikasi Nusantara: Jurnal Pengabdian Masyarakat Pendidikan Dasar Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Pengabdian Masyarakat Nusantara
Wahyu Cahyo Utomo
Universitas Nusantara PGRI Kediri
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Transportation Other

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Prediksi Pergerakan Saham BBRI ditengah Issue Ancaman Resesi 2023 dengan Pendekatan Machine Learning Utomo, Wahyu Cahyo
Jurnal Teknologi dan Manajemen Informatika Vol. 9 No. 1 (2023): Juni 2023
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v9i1.9135

Abstract

The economic recovery after the Covid-19 pandemic is becoming increasingly challenging. According to several experts, a global recession is expected to occur in 2023, necessitating contributions from various fields of knowledge to address this situation. Machine learning is one method that can contribute by forecasting stock price movements. This research attempts to address the issues faced by traders in observing the potential movement of BBRI stock under the recession issue in 2023. Furthermore, this study uses linear regression and Bayesian regression methods to find the best model. By using six-month stock data of BBRI, with attributes such as open, high, low, and close as prediction targets, it is found that the model built using linear regression outperforms Bayesian regression. Based on the testing results, the linear regression model achieved a Dstat of 80% and an RMSE of 595.30, while the Bayesian regression model obtained a Dstat of 80% but a higher RMSE of 660.58. Based on the modeling results in this study, it is concluded that in the first semester of 2023, BBRI stock is still moving upward and is not affected by the recession issue in 2023.
Pembuatan Smart Timer MTQ Berbasis Android dan Arduino di MIN 2 Kabupaten Kediri Sanjaya, Ardi; Utomo, Wahyu Cahyo; Sulaksono, Juli; Widodo, Danang Wahyu; Melati, Laurenza Aprilya; Wenda, Dhian Dwi Nur
Dedikasi Nusantara: Jurnal Pengabdian Masyarakat Pendidikan Dasar Vol 4 No 1 (2024): Juni
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/dedikasi.v4i1.23333

Abstract

Madrasah Ibtidaiyah Negeri (MIN) 2 Kabupaten Kediri merupakan sekolah dengan jenjang dasar berlokasi di Desa Doko Kecamatan Ngasem Kabupaten Kediri. MIN 2 memiliki banyak prestasi dan kegiatan ekstrakurikuler, salah satunya adalah ekstrakurikuler Qiro’ah. Ekstrakurikuler Qiro'ah merupakan kegiatan untuk mengajak siswa memperkaya teknik membaca Al Qur'an dengan begitu indah. Selain teknk membaca, kegiatan tersebut juga mengajarkan disiplin akan waktu, terutama terkait dengan kompetisi atau lomba Qiro’ah atau biasa dikenal dengan Musabaqoh Tilawatil Qurna (MTQ). Dari hasil observasi saat persiapan seleksi Porseni tingkat kecamatan dan kabupaten mulai Januari sampai dengan Mei 2023, masalah waktu atau durasi baca menjadi salah satu penentu dalam kegiatan ataupu lomba MQT dan MIN 2 Kabupaten Kediri belum memiliki peralatan untuk mensimulasikan waktu (timer). Dengan dibuatkannya alat tersebut, nantinya diharapkan akan mampu meningkatkan prestasi siswa yang mengikuti kegiatan ekstrakurikuler Qiro’ah
Co-Authors Ahmad Bagus Setiawan Akbar Fastio Hari Setiawan Andrean Ferdyana Vabian Eka Sakti Ardi Sanjaya Danang Wahyu Widodo Dedy Surya Wijaya Dhian Dwi Nur Wenda, Dhian Dwi Nur Imam Nur Muttaqin Intan Nur Farida Juli Sulaksono Melati, Laurenza Aprilya Muh Aris Saputra Ramadhanu, Ilham Khefi Resty Wulanningrum Roni Heri Irawan Ruruh Andayani Bekti, Ruruh Andayani Salsabilla Atasyaputri Setyawan Wanda Nareswara