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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknologi Terpadu Informatics and Enginering Dedication Jurnal Ilmiah Teknologi dan Komputer (JITTER)
Meiriyama, Meiriyama
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Computer Science & IT Engineering Other

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Pemanfaatan Microsoft Office dan Prezi untuk Membuat Laporan dan Presentasi di Brimob Polda Sumatera Selatan Meiriyama, Meiriyama; Yohannes, Yohannes; Irsyad, Hafiz; Farisi, Ahmad; Devella, Siska; Al Rivan, Muhammad Ezar; Rachmat, Nur
FORDICATE Vol 3 No 1 (2023): November 2023
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v3i1.6449

Abstract

Perkembangan ilmu pengetahuan dan teknologi suatu bangsa tergantung pada keberhasilan proses belajar mengajar di lembaga pendidikan. Penguasaan ilmu dan teknologi merupakan indikator pembangunan menuju kemajuan bangsa. Microsoft Office, termasuk Excel, Word, dan PowerPoint, adalah perangkat lunak aplikasi perkantoran yang dirancang untuk meningkatkan efisiensi kerja. Microsoft Word memfasilitasi pembuatan dokumen kantor, menghemat waktu, dan mengurangi penggunaan kertas. Microsoft Excel mempermudah pengolahan data numerik dengan fitur formula dan diagram. Microsoft PowerPoint mendukung pembuatan presentasi menarik dengan fitur sisipan teks, grafik, dan animasi. Selain itu, Prezi, alat presentasi berbasis internet, memungkinkan eksplorasi ide dengan konsep Zooming User Interface. Pelatihan ini ditujukan untuk staff dan anggota Brimob Polda Sumatera Selatan agar memiliki keterampilan dalam membuat dokumen, laporan, dan presentasi menggunakan Microsoft Office dan Prezi, sehingga dapat meningkatkan produktivitas dan kualitas pekerjaan.
Penerapan Algoritma Random Forest untuk Klasifikasi Jenis Daun Herbal sudiadi, sudiadi; Meiriyama, Meiriyama
JITTER : Jurnal Ilmiah Teknologi dan Komputer Vol 4 No 2 (2023): JITTER, Vol.4, No.2, August 2023.
Publisher : Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JTRTI.2023.v04.i02.p05

Abstract

Abstrak Indonesia memiliki potensi yang besar dalam penyediaan sumberdaya tumbuhan obat atau tanaman herbal yang dapat dimanfaatkan dengan baik sebagai media pengobatan tradisonal. Obat tradisional merupakan warisan lama turun temurun dari zaman dahulu, baik itu dalam bentuk ramuan maupun jamu. Tanaman obat merupakan spesies tanaman yang dipercaya sebagai obat alami tanpa kandungan kimia. Akan tetapi masih minimnya pengetahuan masyarakat mengenai jenis – jenis tanaman herbal. Oleh karena itu penelitian ini bertujuan untuk Klasifikasi Jenis Daun Herbal menggunakan Random Forest berdasarkan fitur HOG. Citra yang telah dipisah antara data latih dan data uji di ubah menjadi greyscale dan di resize menjadi 816x612 piksel, kemudian citra di ekstraksi menggunakan fitur HOG sehingga menghasilkan vektor sepanjang 1x3168. Algoritma Random Forest yang digunakan untuk klasifikasi daun herbal memiliki akurasi keseluruhan sebesar 85,33%. Kata kunci: Daun, Herbal, HOG, Random Forest Abstract Indonesia has great potential in providing medicinal plant resources or herbal plants that can be used properly as a traditional medicine. Traditional medicine is an old heritage handed down from ancient times. Medicinal plants are plant species that are believed to be natural medicines without chemical ingredients. However, there is still a lack of public knowledge about the types of herbal plants. Therefore, this study aims to Classify Herbal Leaf Types using Random Forest based on the HOG feature. The image that has been separated between the training data and testing data is converted to greyscale and resized to 816x612 pixels, then the image is extracted using the HOG feature and produce 1x3168 vector. The Random Forest algorithm used for herbal leaf classification has an overall accuracy of 85.33%. Keywords : Herb, HOG, Leaf, Random Forest
Klasifikasi Motif Songket Palembang menggunakan Support Vector Machine berdasarkan Histogram of Oriented Gradients Yohannes, Yohannes; Al Rivan, Muhammad Ezar; Devella, Siska; Meiriyama, Meiriyama
Jurnal Teknologi Terpadu Vol 9 No 2 (2023): Desember, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v9i2.1032

Abstract

Songket Palembang is one of the intangible cultural heritages with the domain of traditional craftsmanship and crafts. Songket Palembang has several motifs, including Chinese Flowers, Cantik Manis, and Pulir. Preservation efforts are carried out by providing an understanding of Palembang Songket patterns. This study classified Palembang Songket patterns based on shape features using the Histogram of Oriented Gradient (HOG) method. Based on the test results of 45 test data images, the HOG method can become a feature in the image classification of Palembang Songket patterns, namely Chinese Flowers, Cantik Manis, and Pulir. The Support Vector Machine (SVM) method is a classification method that can recognize Palembang Songket patterns with RBF, Linear, and Polynomial kernels. The results showed that the RBF kernel was the best kernel that produced an average accuracy value of 88.1%, a precision of 84.1%, a recall of 82.2%, and an f1-score of 82.6%, and the three Palembang Songket patterns tested, it was found that the Palembang Songket patterns that were easiest to classify well were the Cantik Manis patterns for all types of SVM kernels.
Ekstraksi Fitur Warna dengan Histogram HSV untuk Klasifikasi Motif Songket Palembang Yohannes, Yohannes; Al Rivan, Muhammad Ezar; Devella, Siska; Meiriyama, Meiriyama
JATISI Vol 11 No 2 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i2.8110

Abstract

Palembang Songket is a type of traditional woven cloth that has been registered as Indonesia's intangible cultural heritage since 2013. Palembang Songket has many motifs including Bunga Cina, Cantik Manis, and Pulir. The motifs on Palembang Songket have different meanings which can influence the selling price of the Songket. Recognition and classification of Palembang Songket types and motifs can be done by utilizing computer technology such as digital image processing and machine learning. In this research, the classification of Palembang Songket motifs was carried out using color features with histograms in Hue, Saturation, and Value (HSV) space and the Support Vector Machine (SVM) machine learning algorithm. Testing was carried out on a classification system using 45 test images. The histogram of HSV and SVM methods with the best kernel, namely RBF, were able to classify Palembang Songket motifs with an accuracy of 0.956; precision of 0.94; recall of 0.933; and f1-score of 0.931.
Pelatihan Moodle Sebagai Aplikasi Learning Management System untuk Administrator Sekolah di SMA Negeri 18 Palembang Rachmat, Nur; Devella, Siska; Meiriyama, Meiriyama
FORDICATE Vol 4 No 1 (2024): November 2024
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v4i1.9597

Abstract

The Covid-19 pandemic requires every school to take innovative steps by utilizing technology in teaching and learning activities. Among various technological advancements in the world of education, Learning Management System (LMS) has emerged as a platform and Moodle is one of the most well-known and widely used LMS by educational institutions. Moodle has comprehensive features and is easy to understand for users. Through the Moodle LMS, educators can easily present comprehensive learning materials, create assessments, establish grading systems, track learning progress, view reports, and analyze learning outcomes. This technology is certainly desired to be adopted by State High School 18 Palembang to support a more effective learning process when conducted online. The schools action to support the smooth use of this LMS is to organize a training for school administrators. The training activities were attended by 5 staff members through direct practice methods, discussions and interactive question-and-answer sessions in the Computer Laboratory of Multi Data Palembang University.
PELATIHAN PENGGUNAAN WORDPRESS UNTUK MEDIA INFORMASI KPCDI PALEMBANG Al Rivan, Muhammad Ezar; Irsyad, Hafiz; Meiriyama, Meiriyama; Yohannes, Yohannes; Devella, Siska; Wijaya, Novan; Rachmat, Nur
FORDICATE Vol 4 No 2 (2025): April 2025
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v4i2.11572

Abstract

Penguasaan teknologi informasi menjadi kebutuhan penting bagi organisasi berbasis komunitas dalam menyebarluaskan informasi secara cepat dan terstruktur. Komunitas Pasien Cuci Darah Indonesia (KPCDI) Palembang membutuhkan sarana digital yang dapat menunjang komunikasi dan edukasi antaranggota. Kegiatan pengabdian ini bertujuan untuk memberikan pelatihan penggunaan WordPress sebagai media informasi komunitas. Pelatihan dilaksanakan di Rumah Sakit RK Charitas Palembang dengan metode ceramah, demonstrasi, dan praktik langsung. Materi pelatihan mencakup pengelolaan konten situs, pengunggahan media, dan pengaturan tampilan dasar website. Peserta dibimbing secara bertahap agar mampu memahami penggunaan platform meskipun berasal dari latar belakang non-teknis. Hasil kegiatan menunjukkan bahwa peserta antusias dan mampu mengikuti alur pelatihan dengan baik. Kegiatan ini diharapkan dapat memperkuat kapasitas digital KPCDI Palembang dalam pengelolaan media informasi secara mandiri dan berkelanjutan
Co-Authors Devella, Siska Farisi, Ahmad Hafiz Irsyad Juliana Nasution M Ezar Al Rivan Novan Wijaya Nur Rachmat RR. Ella Evrita Hestiandari Sudiadi, Sudiadi Wiwik Handayani Yohannes Yohannes