Garuda - Garba Rujukan Digital

Identifikasi Faktor Resistansi Guru Terhadap Teknologi Sebagai Pendukung Pembelajaran di Pondok Pesantren Salaf Athiyatul Ulya; Feby Artwodini Muqtadiroh; Ahmad Muklason
Jurnal Nasional Teknologi dan Sistem Informasi Vol 7, No 1 (2021): April 2021
Publisher : Jurusan Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v7i1.2021.18-26

Sistem pendidikan di Indonesia terdiri dari beberapa jenis seperti pendidikan umum, kejuruan, profesi, dan keagamaan. Salah satu penyelenggara pendidikan keagamaan di Indonesia ialah pondok pesantren termasuk pondok pesantren salaf. Pondok pesantren salaf memiliki sistem pendidikan yang unik yakni sistem pembelajaran tradisional dengan metode sorogan, bandongan dan weton. Memasuki era Education 4.0, perkembangan teknologi pendidikan yang semakin canggih tidak lantas menjadikan pondok pesantren salaf beralih menggunakan teknologi. Pondok pesantren salaf tetap mempertahankan metode pembelajaran tradisional yang menjadi ciri khas pondok pesantren. Namun demikian, mereka tidak kalah saing dengan lembaga pendidikan lain serta terus mengalami perkembangan dengan jumlah santri yang meningkat setiap tahunnya. Penelitian ini bertujuan untuk menemukan faktor resistansi penggunaan teknologi sebagai pendukung pembelajaran dilihat dari perspektif guru. Penelitian yang menggunakan metode penelitian kualitatif ini terdiri dari 3 tahap yakni tahap persiapan, pengumpulan data dan pengolahan data. Pada tahap persiapan dilakukan studi literatur, identifikasi kondisi saat ini, menentukan populasi dan sampel serta menyusun instrumen penelitian. Tahap pengumpulan data diawali dengan pelaksanaan preliminary research, penyebaran kuesioner, pelaksanaan wawancara serta pengujian validitas dan reliabilitas data. Pengolahan data dilakukan dengan menentukan faktor dan kategori faktor resistansi guru terhadap teknologi. Hasil dari penelitian ini berupa faktor-faktor resistansi guru terhadap teknologi di pondok pesantren salaf. Faktor resistansi yang paling berpengaruh yakni faktor yang memiliki tingkat cakupan paling tinggi adalah kebijakan pesantren yang tidak memperbolehkan membawa barang elektronik, fasilitas pendukung teknologi yang tidak memadai serta rendahnya kemampuan teknis guru untuk mengoperasikan teknologi.

Prediction of Shrimp Sales Using the ARIMA (AutoRegressive Integrated Moving Average) Method at UD Udang Makmur Peureulak Veri Ilhadi; Muliana Muliana; Zulfia , Anni; Ulya, Athiyatul; Sahputra , Ilham
Multica Science and Technology Vol 4 No 2 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i2.978

UD. Udang Makmur is a shrimp farming business that often faces challenges in accurately predicting sales stock due to reliance on manual forecasting methods. This study aims to develop a web-based sales prediction application utilizing the AutoRegressive Integrated Moving Average (ARIMA) method. The application uses daily sales data from January to December 2023 for analysis. The results indicate that the ARIMA (2,1,1) model delivers accurate predictions, achieving a Mean Squared Error (MSE) of 0.264295. Forecasts for the next 24 periods demonstrate a stable projection, with predicted values converging around 2.5 and a narrow 95% confidence interval. These findings highlight the model's reliability and low uncertainty for the forecasted time frame. The application was successfully tested using the Black-Box method, confirming its functionality and effectiveness in supporting sales predictions.

PKM Strategi Pengembangan Teknologi Informasi Dalam Pemasaran Digital Di Gampong Kota Lhokseumawe ilhadi, veri; Karima, Annisa; Afra, Liza; Ulya, Athiyatul; Maulani, Emi; Amna, Khairul
Jurnal Malikussaleh Mengabdi Vol. 3 No. 2 (2024): Jurnal Malikussaleh Mengabdi, Oktober 2024
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v3i2.20425

Teknologi informasi menjadi faktor kunci dalam transformasi berbagai sektor, termasuk pemasaran UMKM di era digital untuk Gampong kota lhokseumawe. Gampong dengan potensi ekonomi UMKM yang sedang berkembang sampai dengan berkembang yang menjadi tantantang dalam usaha dan dapat memanfaatkan strategi pemasaran digital secara optimal. Pengabdian ini bertujuan untuk merancang Strategi Pengembangan Sistem Informasi untuk mendukung pemasaran digital UMKM di tingkat Gampong . Metode yang digunakan penerapan sistem informasi berbasis web dan media sosial untuk meningkatkan jangkauan pasar, efisiensi transaksi, dan daya saing produk. Fokus utama adalah penerapan sistem informasi berbasis web dan media sosial untuk meningkatkan jangkauan pasar, efisiensi transaksi, dan daya saing produk. Hasil pengabdian ini menunjukkan bahwa integrasi teknologi informasi dengan strategi pemasaran digital dan ekonomi kreatif dapat membantu UMKM Gampong meningkatkan pendapatan, memperluas pangsa pasar, dan menciptakan peluang inovasi baru. Penelitian ini memberikan rekomendasi langkah-langkah dalam penerapan sistem informasi untuk mendukung pemasaran digital, meliputi pelatihan pelaku UMKM, optimalisasi media sosial, dan pengembangan konten kreatif sebagai elemen kunci keberhasilan di era digital.

Prediction of Crime Cases in 2025 in India Using the Fuzzy Time Series Chen Model Method karima, Annisa; Zulfia, Anni; Sukiman, T. Sukma Achriadi; Ulya, Athiyatul
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5745

India's natural beauty and culture, which attract the attention of international tourists, are less able to increase tourist visits due to high crime cases. Tourists' fear of visiting the country has a direct impact on decreasing economic turnover, so the local economy has become very low. Predictions of criminal cases aim to provide an overview of cases that will occur in the next period, therefore the government can take appropriate policies to reduce crime cases. These predictions enable policymakers to plan strategic and data-based preventive measures. The method used is the Fuzzy Time Series Model Chen, because this method can overcome data uncertainty, and offers simplicity and ease in application. Valid and credible criminal statistics data in India is obtained from the site www.kaggle.com. A trusted platform that provides various quality datasets. This data will be used as a basis for the analysis and prediction of criminal cases in India. The results of this research show that in the range of 60 months from January 2020 to December 2024 using the Fuzzy Time Series Chen Model method to predict the number of criminal cases in India produced predictions in January 2025 with cases of 188.36 cases with a MAPE error ratio of 9.08% which is included in outstanding forecasting category.

Pengembangan Rencana Strategis Sistem Informasi Asrama Mahasiswa Nusantara Berbasis Framework Anita Cassidy Rahmawati, Rafika; Arini, Diandra Diva; Nurlaili, Aisma; Septiani, Berlian Viga; Ulya, Athiyatul
Jurnal Komputer Teknologi Informasi Sistem Informasi (JUKTISI) Vol. 4 No. 1 (2025): Juni 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i1.393

Perkembangan IS/IT menuntut seluruh lembaga organisasi dan bisnis, termasuk lembaga pendidikan dan asrama mahasiswa, untuk memiliki sistem informasi yang strategis dan terintegrasi untuk menunjang kegiatan operasional dan pencapaian visi misi organisasi. Asrama Mahasiswa Nusantara (AMN) Surabaya menghadapi tantangan dalam pengelolaan sistem informasi yang belum terintegrasi dan strategis, sehingga menghambat efektivitas layanan operasional dan pencapaian visi organisasi. Untuk mengatasi masalah tersebut, perencanaan strategis sistem informasi dengan menggunakan framework Anita Cassidy yang berfokus pada penyelarasan sistem informasi dengan tujuan bisnis. Proses perencanaan strategis SI dengan Anita Cassidy meliputi tahapan visioning, analysis, direction, dan recommendation. Pengumpulan data dilakukan melalui wawancara dan analisis strategis melibatkan tools pendukung seperti SWOT, Value Chain, Porter's Five Forces, dan McFarlan Strategic Grid. Penelitian menghasilkan solusi strategis sistem informasi yang disusun dalam roadmap pengembangan 5 tahun dengan skala prioritas berdasarkan ketergantungan sistem, nilai bisnis, risiko, serta estimasi biaya dan waktu. Rencana strategis ini diharapkan menjadi pedoman pengembangan sistem informasi yang berkelanjutan dan sejalan dengan visi AMN Surabaya.

Pelatihan Teknologi Smart Home Berbasis Ramah Lingkungan Nasution, Fakhruddin Ahmad; Eri Saputra; Rinaldi Mirsa; Soraya Masthura Hassan; Effan Fahrizal; Athiyatul Ulya
Jurnal Malikussaleh Mengabdi Vol. 4 No. 1 (2025): Jurnal Malikussaleh Mengabdi, April 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v4i1.22355

Teknologi Smart Home berbasis ramah lingkungan adalah inovasi yang mengintegrasikan perangkat pintar dengan prinsip keberlanjutan dan efisiensi energi. Desain Rumah Ramah Lingkungan melalui pendekatan pembangunan hunian yang bertujuan mengurangi dampak negatif terhadap lingkungan dan memanfaatkan sumber daya secara efisien. Desain rumah ramah lingkungan seperti Penggunaan Material Ramah Lingkungan, Desain Hemat Energi untuk Mengoptimalkan pencahayaan alami dan ventilasi silang untuk mengurangi konsumsi listrik dan pendingin udara. Integrasi Teknologi Energi Terbarukan dan Pengelolaan Air. Terakhir tata Letak dan Orientasi yang menyesuaikan posisi dan orientasi rumah agar mendapatkan cahaya matahari yang optimal dan sirkulasi udara yang baik. Teknologi ini dirancang untuk mengurangi konsumsi energi dan dampak lingkungan melalui penggunaan sensor cerdas, sistem otomatisasi, dan sumber energi terbarukan. Adapun teknologi yang berbasis ramah lingkungan seperti sistem pencahayaan otomatis yang menyesuaikan kebutuhan cahaya alami, pengaturan suhu temperature yang efisien, serta penggunaan panel surya dan baterai hemat energi. Dengan memanfaatkan teknologi ini, rumah menjadi lebih efisien, nyaman, dan berkontribusi terhadap pelestarian lingkungan. hasil pengabdian dapat melakukan pengembangan teknologi smart home yang fokus pada efisiensi energi dan keberlanjutan lingkungan. Potensi smart home sebagai solusi yang ramah lingkungan yang dapat diterapkan secara luas untuk mendukung keberlanjutan dan penghematan energi di masa depan

Website-Based Text Encryption Simulation with Hill Chiper Sukiman, T. Sukma Achriadi; Zulfia, Anni; Karima, Annisa; Ulya, Athiyatul; Rizky, Muharratul Mina
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.5757

Data security has become increasingly crucial in the modern digital era, where almost all types of information ranging from text, images, to audio are stored and exchanged in digital form through open networks. The rapid growth of internet-based communication makes data highly vulnerable to interception, modification, or misuse by unauthorized parties. Cryptography is one of the most effective solutions to address these challenges. Among the classical cryptographic techniques, the Hill Cipher remains relevant today because it is based on linear algebra and matrix transformations, which provide a strong mathematical foundation and can be adapted for modern computational implementation. In this study, a web-based application was developed using the Python Flask framework to implement the Hill Cipher algorithm. The application enables users to perform both encryption and decryption of text and images through an interactive interface. Users can input plaintext and key matrices, and the system processes the data to produce encrypted or decrypted outputs in real time. This design not only demonstrates the practicality of applying classical cryptographic concepts with contemporary web technologies but also serves as a valuable educational tool. The results show that the application performs effectively, producing accurate outputs, while also supporting user learning in understanding encryption–decryption processes and guiding efforts to secure digital information.

Information Security Risk Analysis Using ISO 31000:2018 and ISO 27001:2022 Ulya, Athiyatul; Karima, Annisa; Sukiman, T. Sukma Achriadi; Zulfia, Anni; Rahmawati, Rafika
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6564

Information system risk audits are an important step in ensuring the security, effectiveness, and efficiency of the systems used by organizations. However, the fast advancement of information and communication technologies has made information?security threats more intricate, arising not only from internal sources like employee carelessness but also from external sources such as cyber?attacks, malware, and data?theft. This study aims to analyze information security risks at the Central Statistics Agency (BPS) of Lhokseumawe by referring to two international standards, namely ISO/IEC 27001:2022 and ISO 31000:2018. The research approach used is descriptive qualitative with a case study method. Data collection techniques were conducted through interviews, observations, and document studies. The results of the study indicate that there are still various security gaps, both technical and non-technical, such as weak system authentication, the absence of adequate security policies, and the lack of incident handling procedures. This study successfully compiled a risk register containing 30 types of risks along with their causes, impacts, likelihood levels, and relevant mitigation recommendations. Improvement recommendations include strengthening technical controls, updating information security policies, enhancing human resource capacity, and conducting regular internal audits. The results of this study are expected to serve as a reference for strengthening information security systems in a systematic and standardized manner within the BPS environment.

Twitter Sentiment Analysis on the Iran-Israel Conflict Using the Naïve Bayes Classification Algorithm Karima, Annisa; Ulya, Athiyatul; Achriadi, Teuku Sukma; Zufia, Anni
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 2 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i2.26093

The armed conflict between Iran and Israel, which has attracted global attention, has sparked various public reactions, including from the Indonesian community. Given its potential impact on global social and economic stability, it is important to systematically analyze public perceptions using a sentiment analysis approach. A total of 310 tweets were collected through a crawling process and processed using several preprocessing stages, such as text cleaning, normalization, stopword removal, tokenization, stemming, and translation. Labeling was performed directly using the Naive Bayes algorithm, by comparing three algorithms: Gaussian Naive Bayes, Multinomial Naive Bayes, and Bernoulli Naive Bayes. Performance evaluation was conducted using metrics such as accuracy, precision, recall, and F1-score. The classification results showed that Multinomial Naive Bayes achieved an accuracy of 75.81%, Gaussian Naive Bayes achieved 77.42%, while Bernoulli Naive Bayes achieved 87.1%. Bernoulli Naive Bayes demonstrated superior performance in handling textual data with word frequency representation. This study contributes to strengthening the use of machine learning methods for public opinion analysis on social media, particularly in the context of geopolitical issues. The findings indicate that Bernoulli Naive Bayes is more suitable for classifying public opinion texts compared to the Gaussian and Multinomial variants.

Prediction of Shrimp Sales Using the ARIMA (AutoRegressive Integrated Moving Average) Method at UD Udang Makmur Peureulak Veri Ilhadi; Muliana Muliana; Zulfia , Anni; Ulya, Athiyatul; Sahputra , Ilham
Multica Science and Technology (ACCREDITED-SINTA 5) Vol. 4 No. 2 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i2.978

UD. Udang Makmur is a shrimp farming business that often faces challenges in accurately predicting sales stock due to reliance on manual forecasting methods. This study aims to develop a web-based sales prediction application utilizing the AutoRegressive Integrated Moving Average (ARIMA) method. The application uses daily sales data from January to December 2023 for analysis. The results indicate that the ARIMA (2,1,1) model delivers accurate predictions, achieving a Mean Squared Error (MSE) of 0.264295. Forecasts for the next 24 periods demonstrate a stable projection, with predicted values converging around 2.5 and a narrow 95% confidence interval. These findings highlight the model's reliability and low uncertainty for the forecasted time frame. The application was successfully tested using the Black-Box method, confirming its functionality and effectiveness in supporting sales predictions.

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