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CIRI-CIRI POLINOMIAL PERMUTASI ATAS FINITE FIELD Talita, Aini Suri; Mardiyati, Sri; Burhan, Helen
UG Journal Vol 7, No 2 (2013)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Polinomial atas finite field GF (q) memiliki aplikasi cukup luas yang mencakup area seperti coding theory, cryptography, combinatoric, konstruksi dari error-correcting codes maupun teknologi terkini seperti telepon seluler CDMA. Area-area tersebut sering menggunakan suatu polinomial dengan sifat khusus yang disebut polinomial permutasi. Polinomial f atas finite field GF (q) merupakan polinomial permutasi jika pemetaan f:GF (q)-GF (q)adalah pemetaan satu-satu. Penulisan ini membahas ciri-ciri dari suatu polinomial atas finite field GF (q) agar menjadi polinomial permutasi.
Implementasi Algoritma Long Short-Term Memory (LSTM) Untuk Mendeteksi Ujaran Kebencian (Hate Speech) Pada Kasus Pilpres 2019 Aini Suri Talita; Aristiawan Wiguna
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 19 No 1 (2019)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.214 KB) | DOI: 10.30812/matrik.v19i1.495

Abstract

Researches involving Artificial Neural Network (ANN) or its derivative have been published all around the world, spesifically to solve data mining problem, classification, clusterinf, or detection problems. Recurrent Neural Network is a class of ANN with Long Short Term Memory (LSTM) as its one of the architecture that commonly used in deep learning problems. On this paper, we use LSTM to detect hate speech on social media related with Indonesia President Election on 2019. There are several steps on this research, we start with literature study, data collection, data preprocessing, training step, and testing step. The dataset consist of 950 sentences, while the testing data consist of 190 comments on Facebook. The best model performance was reached with recall value 0.7021, which menas that from the whole relevant instances on the testing data, 70.21% were categorized as relevant, on this case as hate speech (HS). The other performance parameter value as in accuracy and precision still quite low due to the testing data that comes directly from social media which highly possible consist of inconsistent choises of words, informal words, or contains grammatically error sentences.
Implementasi Metode K-Medoids Untuk Masalah Intrusion Detection System Menggunakan Bahasa Pemrograman Matlab Octaviani Hutapea; Aini Suri Talita
Faktor Exacta Vol 14, No 2 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i2.9429

Abstract

Based on data from the National Cyber And Crypto Agency (BSSN) of the Republic of Indonesia from 2018 to 2021, the threat of cyber attacks continues to experience a significant increase. In 2021, a significant change that is likely to be faced is with the emergence of new smart devices, which are more than just end-users and remotely connected networked devices. Surely, gives it the attention of all parties. There are many types of cyberattacks including Malware, Phishing, Ransomeware, etc. IDS (Intrusion Detection System) is a method that can detect suspicious activity in a system or network. Implementation of the Fuzzy K-Medoids method by using the Matlab programming language that retrieves data from KDDCUP’99 which has been normalized. The data used are normal data and anomaly attack data which are categorized as DoS, Probe, R2L, and U2R. From the research conducted the accuracy percentage is around 60-89% with three types of data preprocessing
Analisis Usability Aplikasi Sambara dengan Metode System Usability Scale dan USE Questionnaire Felicia Felicia; Aini Suri Talita; Naeli Umniati
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 2 (2023): 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.v10i2.3240

Abstract

Samsat Mobile Jawa Barat (Sambara) is an Android-based application developed by the West Java provincial government to check vehicle taxes in West Java. This study aims to measure the usability of the Sambara application using the System Usability Scale (SUS) and USE Questionnaire methods. The SUS and USE Questionnaire methods are questionnaire-based methods with 10 and 30 questions. The study involved 42 respondents. The results of the validity test show that all data are valid so that they can be used for the research. The results of data processing with the SUS method showed an average value of 62.91. This value is categorized as OK with Grade C-, Percentile Rank 35%, Marginal Acceptability, and Passive NPS. This means that the Sambara application can be accepted by the community in marginal groups with passive users; users do not recommend the application to others. The results of data processing using the USE Questionnaire method obtained an average value of 76.1%, which means that the Sambara application is considered suitable for use. The average value of the questionnaire results is 5.32 out of 7. It means that usability of Sambara application is considered good.
Analyzing Public Sentiment Towards BSI Service Disruptions Through X: Naïve Bayes Algorithm Yudhistira, Yudhistira; Talita, Aini Suri
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13729

Abstract

Disruptions to banking services can negatively affect customer trust and happiness, thus affecting the bank's reputation in the eyes of the public. Analysis of sentiment expressed on social media is very important because it can provide a direct picture of individual perceptions and responses in real time. This research aims to analyze public sentiment towards disruptions in Bank Syariah Indonesia (BSI) services through social media using the Naive Bayes algorithm. Through this analysis, the research seeks to understand the pattern of public responses and perceptions of BSI disruptions and evaluate the performance of the Naive Bayes algorithm in classifying sentiment on related tweet data. The data used came from specific social media platforms, where sentiment analysis was conducted by categorizing the data into positive, negative, and neutral categories. The research findings show that the sentiment analysis of the community towards BSI service disruptions through X social media platforms shows a diverse pattern of responses and perceptions. This finding recorded 525 data points with negative sentiment, 325 data points with neutral sentiment, and 141 data points with positive sentiment. The research also compared the performance of the Naive Bayes algorithm with the Google Cloud Natural Language API, which showed an accuracy rate of 81.03%. This research provides valuable insights for Bank Syariah Indonesia in understanding public perception of BSI services on social media.
PENINGKATAN KAPASITAS SISWA DAN ORANGTUA DI RW.22 PERUMMETLAND CILEUNGSI SEKTOR VII: MATEMATIKA DAN PELATIHAN GOOGLE MEET Mardhiyah, Iffatul; Talita, Aini Suri; Indarti, Dina; Kosasih, Rifki; Fazriyati, Elyna; Hutapea, Octaviani
Jurnal Pengabdian Kepada Masyarakat Darma Saskara Vol 3, No 1 (2023)
Publisher : Jurnal Pengabdian Kepada Masyarakat Darma Saskara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/abdimasug.2023.v3i1.10021

Abstract

Pengabdian masyarakat dilakukan di RW 22 Perum Metland Cileungsi Sektor VII untuk meningkatkan pemahaman matematika siswa dan kemampuan penggunaan Google Meet pada ibu-ibu. Kegiatan ini diilustrasikan oleh rendahnya pemahaman konsep matematika dan kurangnya penguasaan teknologi oleh ibu-ibu. Dalam empat bulan, kegiatan melibatkan30 siswa dan 20 ibu-ibu, menggunakan metode pengajaran matematika kontekstual dan media visual, serta pelatihan penggunaan Google Meet dengan pendekatan hands-on. Evaluasi melibatkan kuesioner, wawancara, dan tes hasil belajar. Hasil menunjukkan peningkatan pemahaman matematika, kecakapan penggunaan Google Meet, serta penerapan teknologi dalam pembelajaran matematika. Pelatihan dan modul pembelajaran matematika telah berhasilmeningkatkan daya saing siswa dan ibu-ibu. Pengabdian ini membuktikan pentingnya penerapan iptek dalam pendidikan dan memberikan rekomendasi kebijakan untuk pengembangan sumber belajar masyarakat. Dengan ini, kemampuan masyarakat dalam menghadapi era digital dapat ditingkatkan.
Mobile Application Architecture Restructuring with Microservice Approach Nugraha, Ardiono Roma; Talita, Aini Suri
Journal of Information Technology and Computer Science Vol. 5 No. 3: Desember 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1406.591 KB) | DOI: 10.25126/jitecs.202053239

Abstract

Microservice is an architecture that can solve many problems in a monolithic architecture. One of the problems is the ability to handle many concurrent users. The existing monolithic application can be restructured into microservices to increase robustness in handling a lot of users, without exception native mobile application. This study aimed to restructure the existing native mobile application named TemanBisnis into microservices. The restructuring process can be done by splitting the application features according to its business domain into one service. Two microservice architecture designs were proposed in this study, named 3-1 architecture and 2-1-1 architecture. Both architectures can handle up to 100 concurrent users, although they start to produce errors. By performance, the 3-1 architecture is better than the 2-1-1 architecture. In the end, an existing native mobile application can be restructured into microservices. The 3-1 architecture should be adopted to achieve the best results between these two architectures.
Pengembangan Model Collaborative Filtering untuk Rekomendasi Postingan di Media Sosial Studi Kasus Opinia Octaviano, Kevin; Talita, Aini Suri
Technologia : Jurnal Ilmiah Vol 16, No 2 (2025): Technologia (April)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v16i2.18348

Abstract

Membuat model collaborative filtering item based dikembangkan menggunakan bahasapemrograman python dengan library surprise dan algoritma K-Nearest Neighbor (KNN) untuk membangun sistem rekomendasi postingan Opinia.
Analisis Tingkat Kepuasan Pengguna Pada Aplikasi Satudikti Menggunakan Metode Pieces Martonagoro, Wikan Dewanto; Talita, Aini Suri
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i9.61482

Abstract

Dalam era transformasi digital, Satudikti dikembangkan oleh Direktorat Jenderal Diktiristek untuk memudahkan akademisi mengakses berita, pengumuman, dan berbagai layanan pendidikan tinggi, seperti Kampus Merdeka, PDDikti, Kedaireka, Kesetaraan Ijazah Asing, dan Simbelmawa. Meskipun menyediakan berbagai fitur penting, efektivitas dan kinerja layanan Satudikti terhadap kepuasan pengguna masih belum dianalisis secara sistematis. Penelitian ini bertujuan untuk mengevaluasi kinerja fitur-fitur Satudikti dari perspektif pengguna, termasuk dosen, mahasiswa, dan akademisi, serta menentukan apakah fitur-fitur tersebut sudah memenuhi harapan pengguna atau masih memerlukan peningkatan. Penelitian menggunakan metode PIECES (Performance, Information, Control, Efficiency, dan Service) untuk menilai kepuasan pengguna. Hasil penelitian menunjukkan bahwa kelima variabel tersebut secara keseluruhan memberikan tingkat kepuasan pengguna yang memuaskan, dengan informasi yang akurat, kontrol sistem yang baik, efisiensi layanan yang tinggi, kinerja fitur yang stabil, dan kualitas layanan yang mendukung kebutuhan pengguna. Temuan ini memberikan implikasi penting bagi pengembang Satudikti untuk mempertahankan kualitas fitur yang ada dan mengidentifikasi area yang masih dapat ditingkatkan, sehingga pengalaman pengguna semakin optimal dan mendukung transformasi digital di lingkungan pendidikan tinggi.
Pengembangan Sistem Penghubung Layanan (SPL) Berbasis Service Oriented Architecture (SOA) dengan Metode Rapid Application Development (RAD) Darmawan, Aditya; Talita, Aini Suri
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 4 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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Abstract

Kementerian Perdagangan merupakan salah satu Instansi Pusat pada pemerintahan memiliki banyak sistem informasi pelayanan namun sistem-sistem tersebut masih terpisah-pisah sehingga menyulitkan berbagi pakai data dan informasi. Tidak terintegrasinya sistem informasi pelayanan sangat menyulitkan bagi masyarakat ketika mengakses layanan publik dikarenakan untuk mengakses satu layanan publik, masyarakat harus berpindah ke beberapa sistem informasi pelayanan atau bahkan harus mengunggah dokumen-dokumen yang sama ke beberapa sistem informasi pelayanan. Untuk mengatasi hal tersebut pada penelitian ini dilakukan pengembangan Sistem Penghubung Layanan (SPL) menggunakan metode Rapid Application Development (RAD) berbasis Service Oriented Architecture (SOA) untuk menghubungkan layanan dari berbagai sistem informasi pelayanan. Hasil penelitian ini adalah menghasilkan SPL yang menjadi solusi manajemen pertukaran data dan informasi antar sistem informasi pelayanan yang dapat mensimplifikasi bisnis proses layanan publik kepada masyarakat.