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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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Klasifikasi Penggunaan Masker Wajah Menggunakan Squeezenet Parmonangan R. Togatorop; Ahmad Fauzi
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.642

Abstract

The Covid-19 pandemic caused by Sars-Cov2 virus has caused the damage of the human respiratory system. Therefore, the government give a recommendation to all of us for using a personal protective equipment like a face mask when everyone is doing an activity in the outdoor to prevent the spread of the Sars-Cov2. The purpose of this study is to build a classification model to be able to determine whether someone uses a mask or not. The building model used in this study is SqueezeNet for feature extraction and Naïve Bayes, Support Vector Machine for the classification process. Research data to build the model consist of 658 facial images using masks and 656 facial images without masks. The evaluation using 10-Fold Validation is the accuracy of the model using Naïve Bayes is 0.958, precision is 0.981, and recall is 0.938. Using SVM, the evaluation result is for the accuracy is 0.992, precision is 0.994, and recall is 0.990.
FORECASTING SAHAM SYARIAH DENGAN MENGGUNAKAN LSTM AHMAD FAUZI
Al-Masraf: Jurnal Lembaga Keuangan dan Perbankan Vol 4, No 1 (2019): Januari - Juni 2019
Publisher : Prodi Manaj. Perbankan Syariah Fakultas Ekonomi dan Bisnis Islam – UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/al-masraf.v4i1.210

Abstract

Islamic stocks as one of the many stocks listed on the JCI are a barometer of the Islamic market in Indonesia. One approach in predicting stock prices is by using machine learning. The purpose of this study is to make a model that is used to predict JII shares using the LSTM approach. The data used amounted to 1402 records related to the Jakarta Islamic Index (JII) stock from March 4, 2014 - January 2, 2019. Model making uses 3 Epochs (1, 10 and 20). The results showed the best model was to use 20 Epochs. The increase in Epoch affects the value  of MSE and RMSE which are getting smaller. For Epoch 20, the values of MSE and RMSE are ~ 0.00019 and~0.014, respectively.
Strategi Transformasi Digital dalam Pemeriksaan Kualitas Air Bersih pada Laboratorium Kesehatan Domi Sepri; Ahmad Fauzi
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i3.206

Abstract

The rapid development of information technology and the Industrial Revolution 4.0 has an impact on all lines of life, including the medical and health fields. The Ministry of Health has planned a digital transformation strategy in its blueprint planning document until 2024. One of the transformation strategies is about the health quality of clean water, because it is an important part in forming a healthy society. Sanitation health and clean water quality standards that have been set by the ministry of health in the process of being implemented by internal monitoring agencies, namely district/city health laboratories are generally still not digital-based. Health laboratories in general still carry out the registration service for the examination of clean water samples to the delivery of the results of labor examinations using paper records. It is prone to recording errors and is prone to loss. The process of digitizing the Clean Water Quality Inspection Information System was developed with a web-based application platform. This research is a Research and Development (R&D) research which was developed using the Process Flowchart Methodology or waterfalls. The flow of steps carried out is to analyze and build a design system and produce a system that becomes a recommendation in the process of transforming Information Technology-based services in the health sector for public services. So that this research can be used as a reference in the development of a digital transformation system
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. 
Customer Acceptance Analysis of Islamic Bank of Indonesia Mobile Banking Using Technology Acceptance Model (TAM) Wandira, Raju; Fauzi, Ahmad; Azim, Fauzan; Annas, Firdaus
International Journal of Informatics and Information Systems Vol 5, No 2: March 2022
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v5i2.132

Abstract

This takes a look at goals to observe the elements that affect clients in the use of BSI`s cellular baking service. These elements are visible from perceived ease of use the software, the perceived usefulness through clients, and the safety supplied on attitudes and intentions in the use of cellular banking applications. The facts became received from a survey that became dispensed to 183 BSI clients with numerous financial and academic levels. The data have been analyzed with the use of Structural Equation Modeling (SEM) with AMOS software. So that effective consequences are received with a full-size impact of the perceived ease and advantages of the use of the BSI cellular banking software at the attitudes and intentions proven through clients. In addition, in phrases of security, it additionally has an effective impact on attitudes in adopting BSI mobile banking. However, the work environment, buddies, and administrative center doesn't have any full-size impact on the advantages of BSI mobile banking.
Co-Authors Annas, Firdaus Domi Sepri Ida Ayu Putu Sri Widnyani Parmonangan R. Togatorop Wandira, Raju