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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informasi dan Teknologi IJIIS: International Journal of Informatics and Information Systems Insearch: Information System Research Journal Al-Masraf: Jurnal Lembaga Keuangan dan Perbankan
AHMAD FAUZI
Universitas Islam Negeri Imam Bonjol Padang
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Social Sciences Other

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Journal : Insearch: Information System Research Journal

 1 
Rancang Bangun Sistem Pendaftaran Pelatihan Berbasis Web Fauzi, Ahmad
Insearch: Information System Research Journal Vol 1, No 01 (2021): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.001 KB) | DOI: 10.15548/isrj.v1i01.2035

Abstract

Penyerapan angkatan kerja di sektor formal yang tidak maksimal mendorong pemerintah mengedepankan pada pendidikan berbasis keahlian. Pendidikan vokasi maupun lembaga pelatihan menjadi salah satu sarana untuk meningkatkan keahlian dari tenaga kerja. Upaya ini dilakukan untuk menigkatkan kemampuan tenaga kerja dan juga mempersiapkan angkatan kerja baru untuk dapat berkarir di sektor formal. Tujuan dari penelitian ini yaitu membangun sistem pendaftaran pelatihan berbasis web yang mana dapat memudahkan pihak penyelenggara pelatihan untuk mengelola pelatihan dan calon peserta pelatihan untuk mendaftar pelatihan. Hasil pengujian aplikasi menunjukkan sistem dapat berjalan baik pada perambah yang diujikan meskipun terdapat kemungkinan bugs sebesar 0.08 dan defects sebesar 0.28.
Stock Price Prediction using Support Vector Machine in the Second Wave of Covid-19 Pandemic Fauzi, Ahmad
Insearch: Information System Research Journal Vol 1, No 02 (2021): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (658.354 KB) | DOI: 10.15548/isrj.v1i02.3185

Abstract

The aim of the research is to predict The Jakarta Composite Index (JKSE) when the second wave of the Covid-19 occurred in Indonesia. The method used in this research is Support Vector Machine (SVM). The data used in this study is JKSE for period April 2021 to August 2021. The data is divided into two parts, the training data and the testing data. The training data starts from April 1st to July 30th 2021. The data used as ground truth is the data from August 2nd to August 31st 2021. To get the best hyperparameter, the research uses Grid Search with RBF kernel. The results show the best hyperparameters using RBF kernel are C=100,  =0.01, and  = 3. The prediction result obtained tends to be stable and has a slight decrease. This result if we compared with the cumulative cases and the total recovery cases of the Covid-19, the investor has a positive sentiment towards the Indonesian government in solving the Covid-19 pandemic. 
Co-Authors Annas, Firdaus Domi Sepri Ida Ayu Putu Sri Widnyani Parmonangan R. Togatorop Wandira, Raju