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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal ICT : Information Communication & Technology Respati JNANALOKA
DHANI ARIATMANTO
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation Other

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PENERAPAN MEDIA AJAR TENTANG PROFESI KERJA BERBASIS DEKSTOP MENGGUNAKAN TEKNOLOGI AUGMENTED REALITY SEBAGAI MOTIVASI BELAJAR UNTUK ANAK-ANAK USIA DINI (STUDI KASUS TK BUDI MULIA II YOGYAKARTA) Ariatmanto, Dhani; Slameto, Andika Agus; Sulistiyono, Mulia
Jurnal Teknologi Informasi RESPATI Vol 11, No 33 (2016)
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (474.205 KB) | DOI: 10.35842/jtir.v11i33.107

Abstract

AbstrakPerkembangan teknologi IT sebagai alat bantu media ajar menjadi daya tarik dalam memotivasi anak-anak khususnya usia dini untuk mempelajari sesuatu. Penerapan teknologi dalam pembelajaran membantu guru-guru untuk menguasai dan memanfaatkan teknologi dalam proses mengajar didalam kelas.TK Budi Mulia II Yogyakarta merupakan tempat belajar dan menuntut ilmu bagi anak-anak usia dini. Pemanfaatan teknologi komputer dan proyektor dalam pengajarannya pun sudah digunakan dalam kelas. Hal ini menjadi salah satu daya tarik untuk peserta didik apabila dalam prosesnya digabungkan dengan teknologi Augmented Reality.Augmented Reality (selanjutnya disebut AR), adalah sebuah teknologi yang pada awal dikembangkannya (1968) memiliki lingkup utama di “visual augmentation”, penambahan objek digital dalam visualisasi. Dalam perjalanannya, teknologi AR telah berkembang pesat. Dengan peningkatan ketersediaan perangkat imaging device yang semakin murah dengan konsumsi daya yang semakin rendah, kita melihat peningkatan yang pesat dalam integrasinya dengan perangkat desktop mapun perangkat yang lain seperti tablet ataupun mobile.Dengan penggabungan teknologi Augmented reality dalam media ajar penelitian ini ingin menghasilkan permodelan 3D mengenai karakter-karakter profesi kerja baik kepolisian, dokter, pilot, antariksawan, dosen, guru, dan lain-lain. Untuk dapat meningkat motivasi peserta didik tidak hanya terimajinasikan saja namun dapat terlihat visualisasi dalam layar proyektor, sehingga menumbuhkan semangat belajar pserta didik.Kata kunci: Augmented Reality, Media Pembelajaran, Permodelan 3D
Ward and Peppard Method Approach for Strategic Planning Information Systems XYZ Training Center Quratul Ain; Norlaila Norlaila; Silvi Agustanti Bambang; Sukoco Sukoco; Dhani Ariatmanto; Adrianto M. Wijaya
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 4 (2021): 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.v8i4.1174

Abstract

ELTIBIZ Training Center is one of the training institutions engaged in non-formal education that has used information systems and information technology to make organizational performance more effective, efficient and increase competitiveness. The IS/IT strategy is needed to facilitate the management of information by the organization in winning the competition with competitors. In this study, IS/IT strategic planning uses the Ward and Peppard method starting from the process of analyzing the condition of the external and internal business environment, as well as the external and internal IS/IT environment. The analysis process uses SWOT analysis techniques, Value Chain analysis, Porter's Five Forces analysis, technology trend analysis and Mcfarlan's Strategic Grid matrix. The IS/IT strategic plan produced in this study includes an IS strategy in the form of a portofolio of future applications that can support business processes, an IS/IT management strategy in the form of a proposed system application development. The IS/IT strategic plan is written into an information system development roadmap as an implementation reference for the ELTIBIZ Training Center in the future whose implementation plan will be carried out within the next 5 (five) years. Keyword : Strategic Plan, Information System, Ward and Peppard, SWOT, Value Chain.
Perbandingan Metode Word Embedding Untuk Analisis Sentimen Pada Data Ulasan Marketplace Nur’aini; Arfian Yogi Ferianto; Dhani Ariatmanto; Mardhiya Hayaty; Norhikmah .
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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

Abstract

Marketplace is a platform for buying and selling goods online, one of whichis shopee. The platform provides a lot of short text data about reviews of various products being sold. Therefore, sentiment analysis is carried out for the classification of reviews by taking into account the factors in the sentiment object.In sentiment analysis, there is a more advanced method, namely using word embedding, word representation in vectors, many researchers have used this method in their research. Therefore, this study uses review data obtained from the shopee marketplace for sentiment analysis.In this study, data is classified using Long Short Term Memory (LSTM).Reviews that are classified will have 2 labels namely positive and negative. Thisstudy aims to determine the final accuracy and vocabulary generated by word embedding which is classified using LSTM in analyzing sentiment in Indonesian shopee reviews.Word embedding methods used are Word2Vec and Global Vector (Glove).This study uses a dataset of 10,000 to produce a vocabulary of 18004 words. From the dataset, 80% training data and 20% test data were distributed. The accuracy of the word embedding word2vec method is 83% and the word embedding Glove method gets 86% accuracy.
Penerapan model InceptionV3 dalam klasifikasi penyakit ayam Muhammad Salimy Ahsan; Kusrini Kusrini; Dhani Ariatmanto
JNANALOKA Vol. 04 No. 02 September Tahun 2023
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2023.v4-no02-5x

Abstract

Chicken disease is one of the problems that can have a very significant impact on chicken farmers, in addition to having an impact on the farm itself, chicken disease can also have an impact on the surrounding environment. Lack of knowledge about the symptoms and diseases that occur in chickens, makes some chicken breeders treat and treat diseases in a traditional way. This method often takes a long time and is prone to errors. In this study, technology will be used to classify chicken diseases by utilizing a deep learning model from the Convolutional Neural Network (CNN) architecture, namely InceptionV3. In carrying out the process of classifying chicken diseases, using a dataset of chicken feces images with a number of 8067 Healthy, Salmonella, Coccidiosis, and Newcastle disease. In the research process, three experimental scenarios were carried out using 20 epochs, 50 epochs and 100 epochs. From the experimental results, using a value of 100 epochs produces the highest accuracy value with a value of 94.05%.
Co-Authors Adrianto M. Wijaya Arfian Yogi Ferianto Hayaty, Mardhiya Kusrini Kusrini Muhammad Salimy Ahsan Mulia Sulistiyono Norhikmah . Norlaila Norlaila Nur’aini Quratul Ain Silvi Agustanti Bambang Slameto, Andika Agus Sukoco Sukoco