Articles
<![CDATA[Sistem Informasi Pelanggaran dan Nilai Siswa Berbasis Website pada SMK Dhuafa Nusantara Padang ]]>
<![CDATA[Vesi Puspita Sari]]>;
<![CDATA[Firdaus]]>;
<![CDATA[Hadi Syahputra]]>
<![CDATA[ Jurnal KomtekInfo Vol. 8 No. 1 (2021): Komtekinfo ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/komtekinfo.v8i1.101
<![CDATA[SMK Dhuafa Nusantara Padang merupakan salah satu intansi pendidikan, saat ini proses poin pelanggaran yang ada masih berjalan sederhana dengan menggunakan penulisan tangan dikertas jika ada murid yang melanggar peraturan. Selain itu, juga data nilai siswa masih diproses dengan manual. Banyak data-data murid yang telah dicatat hilang atau rusak, dikarenakan penyimpanan dibiarkan menumpuk dan tidak rapi. Untuk menuntut manajemen yang lebih baik, tepat, cepat dan akurat dalam mengambil keputusan. Dibutuhkan suatu sistem yang dapat menunjang semua proses yang berjalan saat ini menjadi lebih efektif. Sehingga dapat mengelola data menjadi lebih baik dan informasi yang di hasilkan menjadi lebih akurat. Dan pada pengolahan data nilai siswa juga laporan nilai rapor siswa yang masih dilakukan secara manual yaitu berupa berkas yang tersimpan dalam rak dan menggunakan komputer yang tersimpan dalam 2 atau 3 komputer saja. Maka dari itu dirancanglah sebuah Sistem Informasi yang nantinya diharapkan dapat menyajikan informasi yang lebih efektif dan efesien. Dengan implementasi ini dapat mengatasi permasalahan yang ada dan menghasilkan informasi yang lebih akurat.]]>
<![CDATA[Optimization artificial neural network classification analysis model diagnosis Gingivitis disease ]]>
<![CDATA[Vicky Ariandi]]>;
<![CDATA[Musli Yanto]]>;
<![CDATA[Annisak Izzaty Jamhur]]>;
<![CDATA[Firdaus Firdaus]]>;
<![CDATA[Riandana Afira]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 3: March 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v29.i3.pp1648-1656
<![CDATA[Gingivitis is a disease that can be caused by the buildup of bacteria and plaque caused by leftover food. This disease can attack anyone, especially children who are not aware of maintaining dental and oral health. This study aims to build and optimize the classification analysis model for the diagnosis of Gingivitis. The classification analysis model was built using the artificial neural network (ANN) method which was optimized using fuzzy logic and the multiple linear regression (MRL) method. Optimization with fuzzy aims to develop a pattern of rules in the detection. The MRL method is also used as a process of measuring analysis patterns to ensure the analytical model presents maximum results. The results study indicate that the optimization of fuzzy and MRL methods provides excellent output. These results are based on the fuzzy output which can provide a pattern of 40 rules. The MRL method is can present the level of correlation of each analysis variable with a significant output having an average value of 94.2%. Based on the results of this study, the analysis model that is optimized with the fuzzy logic method and MRL contributes to maximizing the process of diagnosing Gingivitis.]]>
<![CDATA[CRUD in Designing a Staffing Management Information System for TVRI West Sumatra ]]>
<![CDATA[Lika Jafnihirda]]>;
<![CDATA[Giatman -]]>;
<![CDATA[Hasan Maksum]]>;
<![CDATA[Firdaus -]]>
<![CDATA[ Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 17 No. 1 (2023): Jurnal Ipteks Terapan : research of applied science and education ]]>
Publisher : <![CDATA[Lembaga Layanan Pendidikan Tinggi Wilayah X ]]>
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DOI: 10.22216/jit.v17i1.1964
<![CDATA[The use of information technology can simplify and accelerate a business process and also the company's performance in managing information. Information processing will be faster if it is accessed on a web page. Therefore, researchers designed a web-based personnel management information system. This system was built using the PHP programming language and MySQL database by analyzing the use of CRUD (Create, Read, Update, Delete ). This is done by inputting employee data more easily. With this staffing management information system, it can make it easier to manage employee data which is easy and fast to be immediately followed up by related parties. This personnel management information system also makes it easier for employees to do work and makes reporting more optimal and timely as needed.]]>
<![CDATA[COBIT 5: INFORMATION TECHNOLOGY AUDIT IN RELIGIOUS COURTS ]]>
<![CDATA[Firdaus -]]>;
<![CDATA[Aggy Pramana Gusman]]>;
<![CDATA[Harkamsyah Andrianof]]>
<![CDATA[ Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 16 No. 4 (2022): Jurnal Ipteks Terapan : research of applied science and education ]]>
Publisher : <![CDATA[Lembaga Layanan Pendidikan Tinggi Wilayah X ]]>
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DOI: 10.22216/jit.v16i4.1903
<![CDATA[Information technology in an organization is very important to support organizational assets. An information technology audit needs to be carried out to determine the level of suitability of the current situation with the expected target. This study aims to manage audit findings and produce recommendations for improvement and sustainable management. This study uses the COBIT 5 framework. The chosen domain is DSS (Deliver, Service, and Support). The results of the study show that the average scale is 3.67 with a capability level of 4. The recommendations that appear can be used as a reference for achieving information technology targets at the Padang Class I A Religious Court.]]>
<![CDATA[Decision Support System for Promotion Selection using the Multi Factor Evaluation Process Method ]]>
<![CDATA[Firdaus]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 8 Issue 4 (2022): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v8i4.47
<![CDATA[Company PT. ALS is a ground transportation service company that transports passengers between cities and provinces. Buses from PT. ALS has been a mainstay and pride of the community, especially in its timely service in taking passengers to their destination. Promotion at PT. Currently, the ALS assessment process for selecting employee promotions is carried out by supervisors in each division who directly evaluate employee performance. Then in the process of selecting the position of the candidate who has the highest score based on certain criteria who will occupy the required position in accordance with the required criteria. Data calculations are done manually using Microsoft Excel but have not used the computer system optimally. The basis for this research is to help PT. ALS in making a decision in selecting employee promotions. Position is a group of positions that are almost the same in an agency, institution or company. For employees, the results of the assessment can be used as feedback on work performance, so that they have a basis for consideration for planning their career development. This research will be conducted using the Multi Factor Evaluation Process method by processing several criteria for decision making. Meanwhile, on the other hand, the results of this assessment can be used by the company to base decision-making in terms of reward system (compensation), promotion, training and career planning.]]>
<![CDATA[Penjualan Sparepart Sepeda Motor Berbasis Web Menggunakan Model Customer Relatioship Management (CRM) ]]>
<![CDATA[Yukel Vinros Diandra]]>;
<![CDATA[Wifra Safitri]]>;
<![CDATA[Firdaus Firdaus]]>
<![CDATA[ Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 3 No 1 (2023): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt ]]>
Publisher : <![CDATA[Pustaka Galeri Mandiri ]]>
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DOI: 10.55382/jurnalpustakadata.v3i1.617
<![CDATA[CRM merupakan strategi pemasaran yang mempunyai tujuan menciptakan dan menjaga hubungan baik dengan pelanggan, serta mengurangi kemungkinan pelanggan beralih ke pesaing lain. Penelitian ini bertujuan membuat sistem penjualan dengan menerapkan metode CRM pada bengkel Kevin Motor. Hasilnya adalah aplikasi sistem penjualan dengan memakai metode CRM yang dapat mengelola data pelanggan, penjualan produk, pemberian diskon sebagai promosi produk dan pengelolaan data layanan kepada pelanggan untuk bisa menyimpan pertanyaan atau keluhan pelanggan agar bisa menjaga hubungan baik dengan pelanggan. Dengan pendekatan ini dicapai hasil berupa terciptanya aplikasi penjualan yang memanajemen hubungan pelanggan dan mengoptimalkan layanan pelanggan.]]>
<![CDATA[Implementasi Media Pembelajaran Berbasis Teknologi Informasi Dan Komunikasi ]]>
<![CDATA[Mardhiah Masril]]>;
<![CDATA[Billy Hendrik]]>;
<![CDATA[Harry Theozard Fikri]]>;
<![CDATA[Firdaus Firdaus]]>;
<![CDATA[Hasri Awal]]>
<![CDATA[ Edumaspul: Jurnal Pendidikan Vol 5 No 2 (2021): Edumaspul: Jurnal Pendidikan ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Enrekang ]]>
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DOI: 10.33487/edumaspul.v5i2.2974
<![CDATA[Diperlukan media pembelajaran yang lebih efisien dan efektif untuk memotivasi dan membangkitkan semangat belajar peserta didik di kelas untuk menyampaikan materi. Salah satunya melalui pembelajaran berbasis ICT. Penelitian ini bertujuan untuk membahas penerapan media pembelajaran berbasis TIK di kelas. Penelitian ini merupakan penelitian kepustakaan. Penelitian ini bersifat deskriptif, dimulai dengan analisis dekomposisi yang khas dan diakhiri dengan gagasan menawarkan pemahaman dan penjelasan untuk deskripsi hasil. Kesimpulan dari penelitian ini adalah: 1) proses pembelajaran dapat menjadi lebih menarik ketika menggunakan media pembelajaran berbasis TIK, memotivasi peserta didik untuk mencintai ilmunya; 2) Seorang guru dapat lebih efektif dan efisien dalam menyajikan materi pelajaran sehingga peserta didik mendapatkan manfaat dari media yang sangat baik dan akurat; 3) roses pembelajaran dengan menggunakan media dapat dibuat lebih efektif dan efisien.]]>
<![CDATA[Flipped Classroom: A Digital Revolution Learning Strategy for Curriculum 2013 ]]>
<![CDATA[Mardhiah Masril]]>;
<![CDATA[Billy Hendrik]]>;
<![CDATA[Harry Theozard Fikri]]>;
<![CDATA[Firdaus Firdaus]]>;
<![CDATA[Hasri Awal]]>
<![CDATA[ Edumaspul: Jurnal Pendidikan Vol 6 No 2 (2022): Edumaspul: Jurnal Pendidikan ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Enrekang ]]>
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DOI: 10.33487/edumaspul.v6i2.5348
<![CDATA[This study aims to analyze the suitability of flipped classrooms, a 21st-century learning method, with the curriculum implemented in Indonesia in 2013. The methodology used in this research is qualitative, using a literature study as the data collection method. Data collection was conducted with the main object of surveying relevant literature. Data analysis in this research is descriptive qualitative. The results of this study show that flipped classroom learning follows the principles of learning in the 2013 curriculum. Evidenced by the implementation process, which is more student-centered. In addition, activities such as observing, questioning, gathering information, associating, analyzing, and communicating can be implemented in a technology-enhanced classroom to develop skills appropriate for the 21st century.]]>
<![CDATA[Digital Image–Based Document Authenticity Analysis Using The Daus Approach Through Texture Feature Extraction And Visual Characteristics ]]>
<![CDATA[Ritna Wahyuni]]>;
<![CDATA[Firdaus]]>
<![CDATA[ Journal of Innovative and Creativity Vol. 5 No. 3 (2025) ]]>
Publisher : <![CDATA[Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai ]]>
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DOI: 10.31004/joecy.v5i3.6104
<![CDATA[Document authenticity is a critical issue in administrative, academic, and legal environments due to the increasing ease of document manipulation using digital technologies. This research focuses on analyzing document authenticity based on digital image processing by utilizing the DAUS approach through texture feature extraction and visual characteristics. The problem addressed in this study is how to effectively distinguish between authentic and manipulated documents using image-based analysis. The proposed approach involves processing scanned or photographed document images to extract texture features and visual cues, such as surface patterns, ink distribution, and structural inconsistencies, which may indicate alterations. These features are then analyzed to identify differences between original and non-original documents. The results of the analysis demonstrate that the combination of texture features and visual characteristics can provide meaningful information for detecting document authenticity. This study concludes that digital image–based analysis using the DAUS approach offers a promising alternative to manual inspection, enabling a more objective and systematic method for document verification. The findings are expected to contribute to the development of reliable document authentication systems in various practical applications.]]>
<![CDATA[Language Processing for Detecting Fake News on Twitter Using a Long Short-Term Memory Architecture ]]>
<![CDATA[Rini Sovia]]>;
<![CDATA[Dwi Andhara Valkyrie]]>;
<![CDATA[Ruri Hartika Zain]]>;
<![CDATA[Firdaus]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v9i4.6570
<![CDATA[The rapid spread of misinformation on social media platforms, particularly X (formerly Twitter), poses a significant challenge to public trust and democratic integrity. Fake news is often crafted to deceive readers and manipulate public opinion, especially in political contexts such as the 2024 Regional Head Elections (Pilkada 2024). Although various measures have been proposed to mitigate this issue, achieving an effective balance between controlling misinformation and preserving free speech remains a challenge. This study aims to address this problem by developing a fake news detection model based on Natural Language Processing (NLP) and Long Short-Term Memory (LSTM). The dataset used in this study was collected from public tweets related to Pilkada, with Kompas.com serving as the validation source to verify content authenticity. Experimental results show that the proposed LSTM model outperformed traditional classification methods, achieving a precision, recall, and F1-score of 0.95, along with an overall accuracy of 94.90%. Confusion matrix analysis further confirmed the reliability of the model by demonstrating low misclassification rates. This study contributes to the advancement of AI-driven hoax detection systems, offering an automated and scalable solution for combating misinformation in political discourse.]]>
