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All Journal Jurnal Simetris Kompak : Jurnal Ilmiah Komputerisasi Akuntansi E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Pixel : Jurnal Ilmiah Komputer Grafis Elkom: Jurnal Elektronika dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING Krea-TIF: Jurnal Teknik Informatika EDUMATIC: Jurnal Pendidikan Informatika EVOLUSI : Jurnal Sains dan Manajemen JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknologi Informasi dan Komunikasi Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Dinamika Jurnal Teknik Informatika dan Teknologi Informasi JURNAL AKUNTANSI DAN BISNIS Community: Jurnal Pengabdian Pada Masyarakat Journal of Technology Informatics and Engineering Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Scientific Journal of Informatics Switch: Jurnal Sains dan Teknologi Informasi Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Pelayanan Unggulan: Jurnal Pengabdian Masyarakat Terapan Inovasi Sosial: Jurnal Pengabdian Masyarakat Journal of Engineering, Electrical and Informatics Jurnal Teknik Informatika dan Teknologi Informasi
Sindhu Rakasiwi
Universitas Sains Dan Teknologi Komputer
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Systematic Literature Review Trend Augmented Reality 2019-2023 dan Peluang Penerapannya di Masa Depan Fitrianto, Yuli; Rakasiwi, Sindhu; Kurnialensya, Taufik
Krea-TIF: Jurnal Teknik Informatika Vol 11 No 2 (2023)
Publisher : Fakultas Teknik dan Sains, Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/krea-tif.v11i2.15360

Abstract

Augmented reality (AR) merupakan teknologi yang dapat menyatukan objek visual yang dibuat melalui komputer dengan dunia nyata dengan menambahkannya secara real-time. Penelitian ini melakukan peninjauan berupa Systematic Literature Review (SLR) terhadap penerapan AR di berbagai bidang dalam 5 tahun terakhir yaitu dari tahun 2019 hingga 2023. Tujuan dari SLR ini adalah untuk mengidentifikasi tren penerapan AR di 5 tahun terakhir, kemudian memprediksi potensi dan tantangan yang akan dihadapi di masa depan, serta mengajukan beberapa poin yang dapat digunakan sebagai saran penerapan AR selanjutnya. Sebanyak 500 judul artikel penelitian tentang AR diambil dari hasil pencarian melalui pengindeks database Google Scholar dengan alat bantu berupa software Publish or Perish dari Harzing. Visualisasi data dilakukan menggunakan software VOSviewer untuk melihat keterkaitan antar bidang pada AR, sedangkan pemfilteran artikel yang dilakukan untuk memilih artikel-artikel yang benar-benar berdampak menggunakan pedoman Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) Flow Diagram. Artikel-artikel yang telah terpilih kemudian dilakukan pengelompokan per bidangnya untuk dilakukan analisis. Hasil yang diperoleh pada SLR kali ini adalah bidang pendidikan menjadi tren penerapan AR di 5 tahun terakhir dan kemungkinan besar akan terus berlanjut di tahun-tahun berikutnya, disusul penerapan di bidang industri, retail dan pemasaran. Bidang militer berpotensi besar untuk penerapan AR di masa depan mengingat hingga akhir penelitian ini dibuat, situasi keamanan dunia masih panas. Tantangan yang dihadapi di dunia pendidikan adalah perlunya dukungan pihak institusi terhadap guru atau pengajar serta kesiapsediaan teknologi, sedangkan di bidang industri terdapat tantangan pada pemilihan divisi yang tepat untuk penerapan AR tanpa membebani pekerjaan. Terakhir, 5 poin saran diberikan pada penelitian ini untuk penerapan AR yg lebih efektif.
Analisis Capaian Pembelajaran Mata Kuliah Keterampilan Interpersonal bagi Mahasiswa dalam Meningkatkan Komunikasi dan Pengembangan Profesional Yani Parti Astuti; Erlin Dolphina; Dewi Agustini Santoso; T.Sutojo; Erna Zuni Astuti; Edy Mulyanto; Sindhu Rakasiwi
Inovasi Sosial : Jurnal Pengabdian Masyarakat Vol. 2 No. 3 (2025): Agustus : Inovasi Sosial : Jurnal Pengabdian Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/inovasisosial.v2i3.2020

Abstract

In today's world, many young individuals still lack effective communication skills, a trend that is evident among university students, particularly those from Generation Z. These students, despite having access to technology and social media, are often not taught how to communicate in a professional and respectful manner. This paper discusses the importance of communication skills and their development through the Interpersonal Skills (KI) course. Within this course, students not only develop communication abilities but also both soft and hard skills essential for their personal and professional growth. The course includes various assessments, one of which is the Community Service (PKM) output. This PKM aims to provide students with practical experience in communication by engaging with external partners and presenting ideas related to their academic programs. The activities conducted under this PKM serve as an assignment for the course, contributing to grades for assignments, Mid-Semester Exams (UTS), and Final Semester Exams (UAS). Students are tasked with creating proposals, reports, posters, and videos as part of the assignment, and for the UTS, they present proposals to their partners. The UAS grade is based on the final report presentation, showcasing the results of their PKM activities. Through the KI course, students gain valuable experience in communicating with external partners, collaborating in teams, and presenting their work confidently in front of their peers. These activities not only enhance students' communication skills but also foster leadership qualities and teamwork, preparing them for professional environments. Thus, the KI course plays a crucial role in developing interpersonal communication skills that are essential in today's interconnected world.
Deep Learning-Based Eye Disorder Classification: A K-Fold Evaluation of EfficientNetB and VGG16 Models Paramita, Cinantya; Rakasiwi, Sindhu; Andono, Pulung Nurtantio; Shidik, Guruh Fajar; Shier Nee Saw; Rafsanjani, Muhammad Ivan
Scientific Journal of Informatics Vol. 12 No. 3: August 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i3.26257

Abstract

Purpose: The study evaluates EfficientNetB3 and VGG16 deep learning architectures for image classification, focusing on stability, accuracy, and interpretability. It uses Gradient-weighted Class Activation Mapping to improve transparency and robustness. The research aims to create reliable AI-based diagnostic tools. Methods: The study used a dataset of 4,217 color retinal fundus images divided into four classes: cataract, diabetic retinopathy, glaucoma, and normal. The dataset was divided into 70% for training, 10% for validation, and 20% for testing. The researchers used a transfer learning approach with EfficientNetB3 and VGG16 models, pretrained on ImageNet. Real-time augmentation was applied to prevent overfitting and improve generalization. The models were compiled with the Adam optimizer and trained with categorical cross-entropy loss. Early stopping was implemented to allocate computational resources efficiently and reduce overfitting. A learning rate scheduler (ReduceLROnPlateau) was added to adjust the learning rate if no significant improvement was made concerning validation loss. EfficientNetB3 was more efficient in model size, possessing only 12 million parameters compared to VGG16's 138 million, making it suitable for resource-constrained mobile or embedded systems. The final evaluation was done on the held-out test set. Result: The EfficientNetB3 architecture outperforms VGG16 in classification accuracy and loss value stability, with an average accuracy of 93%. It also exhibits better transparency and predicted accuracy, making it a reliable model for medical image categorization. Novelty: This work introduces a novel framework integrating EfficientNetB3 architecture, stratified cross-valuation, L2 regularization, and Grad-CAM-based interpretability, focusing on openness and explainability in model evaluation.
Enhancing Liver Cirrhosis Staging Accuracy using Optuna-Optimized TabNet Arifin, Muhammad Farhan; Dewi, Ika Novita; Salam, Abu; Utomo, Danang Wahyu; Rakasiwi, Sindhu
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.11011

Abstract

Liver cirrhosis is a progressive chronic disease whose early detection poses a clinical challenge, making accurate severity staging crucial for patient management. This research proposes and evaluates a TabNet deep learning model, specifically designed for tabular data, to address this challenge. In the initial evaluation, a baseline TabNet model with its default configuration achieved a baseline accuracy of 65.11% on a public clinical dataset. To enhance performance, hyperparameter optimization using Optuna was implemented, which successfully increased the accuracy significantly to 70.37%, with precision, recall, and F1-score metrics each reaching 70%. The model's discriminative ability was also validated as reliable in multiclass classification through AUC metric evaluation. In addition to accuracy improvements, the model's interpretability was validated through the identification of key predictive features such as Prothrombin and Hepatomegaly, which align with clinical indicators. This study demonstrates that Optuna-optimized TabNet is an effective and interpretable approach, possessing significant potential for integration into clinical decision support systems to support a more precise diagnosis of liver cirrhosis.
HYBRID MODEL MACHINE LEARNING FOR DETECTING HOAXES Budi Hartono; Munifah; Sindhu Rakasiwi
Journal of Technology Informatics and Engineering Vol. 1 No. 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.142

Abstract

Unlimited availability of content provided by users on social media and websites facilitates aggregation around a broad range of people's interests, worldviews, and common narratives. However, over time, the internet, which is a source of information, has become a source of hoaxes. Since the public is commonly flooded with information, they occasionally find it difficult to distinguish misinformation disseminated on net platforms from true information. They may also rely massively on information providers or platform social media to collect information, but these providers usually do not verify their sources. The purpose of this research is to propose the use of machine learning techniques to establish hybrid models for detecting hoaxes. The research methodology used here is a feature extraction experiment, in which a series of features will be analyzed and grouped in an experiment to detect hoax news and hoax, especially in the political sphere by considering five modalities. The outcome of this research indicates that the relation between publisher Prejudice and the attitude of hyper-biased news sources makes them more possible than other sources to spread illusive articles, besides that the correlation between political Prejudice and news credibility is also very strong. This shows that the experiment using a hybrid model to detect hoaxes works. well. To achieve even better results in future research, it is highly recommended to analyze user-based features in terms of attitudes, topics, or credibility.
Pelatihan Untuk Meningkatkan Market Segmentation Kelompok UMKM di Kota Salatiga Edwin Zusrony; Budi Santoso, Agustinus; Rakasiwi, Sindhu; Andriana, Myra; Sumarlin, Tantik; Fitrianto, Yuli; Suprapti
Community : Jurnal Pengabdian Pada Masyarakat Vol. 2 No. 3 (2022): November : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/community.v2i3.222

Abstract

The implementation of community service activities is aimed at the MSME group regarding how to increase market segmentation with various counseling with material on the importance of packaging and labeling, introduction of product sales strategies through e-commerce, introduction of website, digitalization of modern business for MSMEs and the use of Google My Business (GMB). The counseling was carried out by direct interaction between lecturers from the STEKOM University team and participants from the MSME group in the city of Salatiga. Model training and counseling with presentations and hands-on practice using electronic devices, such as laptops, LCDs and smartphones. This outreach program is expected to be sustainable and enable participants to implement strategies to increase market segmentation, especially the MSME group in Salatiga City.
Pelatihan Diklat Visualisasi Data Menggunakan Google Data Studio untuk Guru dan Dosen pada Perkumpulan Profesi Multimedia dan Teknologi Informasi (PPMultindo) Rokhman, Nur; Jatmiko, Cahaya; Rakasiwi, Sindhu; Heru Lestiawan
Community : Jurnal Pengabdian Pada Masyarakat Vol. 3 No. 3 (2023): November : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/community.v3i3.415

Abstract

Situasi pandemic COVID-19 membuat dunia pembelajaran perlu penyesuaian cepat salah satunya dalam pembuatan media pembelajaran, dimana guru dan deosen berperan dalam menyajikan metode-metode dengan pemanfaatan teknologi informasi salah satunya melalui media pembelajaran. Kegiatan pengabdian yang dilaksanakan secara daring melalui aplikasi Zoom ini menitikberatkan pada Pelatihan Membangun Visualisasi Data Menggunakan Google Data Studio berwawasan teknologi agar dimiliki dan dikuasai guru dan dosen sebagai tenaga pendidik pada Perkumpulan Profesi Multimedia dan Teknologi Informasi (PPMultindo). Pelatihan ini juga mengubah pola pikir bahwa membuat media pembelajaran adalah sesuatu yang rumit dan membosankan dikarenakan tidak banyaknya guru dan dosen yang berkompetensi di bidang teknologi informasi, menjadi mudah dan menyenangkan. Hasilnya para guru dan dosen mempunyai kemampuan dasar untuk membuat media pembelajaran dan mengembangkannya dengan visualisasi data menggunakan Google Data Studio dan siswa nantinya dapat secara interaktif untuk mengaksesnya dan dapat meningkatkan pemahaman materi yang diberikan.
Optimalisasi Layanan Administrasi Melalui Pemanfaatan Teknologi Informasi untuk Tenaga Pendidik pada Fakultas Ekonomi dan Bisnis Islam UIN Gus Dur Pekalongan Nur Rokhman; Sindhu Rakasiwi; Edi Sugiarto; Fikri Budiman
Community : Jurnal Pengabdian Pada Masyarakat Vol. 3 No. 3 (2023): November : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/community.v3i3.421

Abstract

Administrasi mengambil peran yang sangat penting dalam sebuah organisasi, lembaga ataupun negara sebagai tolok ukur kemajuannya. Buruknya pengelolaan administrasi dan layanannya dapat mengakibatkan kehancuran, tanpa perlu adanya musibah bencana alam ataupun perang. Pesatnya perkembangan teknologi informasi saat ini dapat dimanfaatkan dalam mengoptimalkan layanan administrasi, terutama di sektor pendidikan, karena sektor pendidikan memegang peran penting dalam modal membangun kemajuan bangsa. Tenaga pendidik sesuai undang-undang juga bertugas dalam administrasi dan pelayanan teknis, maka dari itu kali ini diadakan kegiatan pengabdian kepada masyarakat berupa pelatihan dengan tujuan optimalisasi layanan administrasi yang ditujukan untuk tenaga pendidik pada Fakultas Ekonomi dan Bisnis Islam UIN Gus Dur Pekalongan. Hasilnya, pekerjaan menjadi lebih mudah dan lebih cepat untuk bertukar informasi antar bagian, dan kepala bagian TU dapat dengan mudah memantau pekerjaan terkait dengan administrasi dan layanannya, karena data dapat diakses secara online.
Pelatihan Diklat Pemanfaatan Aplikasi Online Menggunakan Cek Plagiarisme Dengan Turnitin Untuk Guru Dan Dosen Pada Perkumpulan Profesi Multimedia Dan Teknologi Informasi (PPMULTINDO) Rakasiwi, Sindhu; Marjuni, Aris; Rijati, Nova; Himawan, Heribertus; Jatmoko , Cahaya; Sinaga, Daurat
Community : Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 2 (2024): Juli : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/community.v4i2.534

Abstract

Conveying appropriate information to be understood quickly and accurately is very important in various areas of life, both academic and non-academic. A teacher or lecturer is a teacher whose job is to educate and provide instruction to students or students. Data visualization is one way that can be used to present data. The advantage of this method is the availability of statistical graphics which can enrich the display of information so that the results are more interactive for the audience. Google Data Studio is an application launched by Google that can be used to convert raw data into interesting and strategic information for users. That way, the information becomes more appropriate to understand quickly and accurately.
Pelatihan Pemanfaatan Google Sites Untuk Pembuatan Media Pembelajaran Berbasis Website Untuk Guru Dan Dosen Pada Perkumpulanprofesi Multimedia Dan Teknologi Informasi (PPMULTINDO) Jatmoko, Cahaya; Rakasiwi, Sindhu; Widya Laksana, Deddi Award; Erawan, Lalang; Rizqa, Ifan; Astuti, Erna Zuni
Community : Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 2 (2024): Juli : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/community.v4i2.535

Abstract

Conveying appropriate information to be understood quickly and accurately is very important in various areas of life, both academic and non-academic. A teacher or lecturer is a teacher whose job is to educate and provide instruction to students or students. Data visualization is one way that can be used to present data. The advantage of this method is the availability of statistical graphics which can enrich the display of information so that the results are more interactive for the audience. Google Sites is a service owned by the Google company that can be used for e-learning. That way, the information becomes more appropriate to understand quickly and accurately.
Co-Authors Abu Salam Adhesyah Putra, Maulana Damar Agus Cahyo Pangestu Agustinus Budi Santoso Albastomi, Taqius Shofi Andi Dharu Permana Andriana, Myra Ardytha Luthfiarta Arifin, Muhammad Farhan Ariyanto, Noval Arya Erlangga Astuti, Yani Parti budi hartono Cahaya Jatmiko Cahaya Jatmoko Cahyo Pangestu , Agus Candra Irawan Catur Supriyanto Daurat Sinaga Deddy Award Widya Laksana Dewantoro, Eustachius Dito Dewi Agustini Santoso Dzaky, Azmi Abiyyu Edi Sugiarto Edwin Zusrony Edy Mulyanto Egia Rosi Subhiyakto Egia Rosi Subhiyakto, Egia Rosi Erlin Dolphina Erna Zuni Astuti Erna Zuni Astuti Erwin Yudi Hidayat Etika Kartikadarma Febryantahanuji Febryantahanuji Feri Agustina Fikri Budiman Fitriyani, Shelomita Guruh Fajar Shidik Haresta, Alif Agsakli Haryo Kusumo Haryo Kusumo Haryo Kusumo Heribertus Himawan Heru Lestiawan Ifan Rizqa Ika Novita Dewi Indra Laila Intan Nurul Alfiani Isnaini Khusnul Khotimah Jarot Dian Susatyono Jarot Dian Susatyono Jatmiko, Cahaya Junta Zeniarja Khani, Nadia Ifti Kurniawan, Defri Kusumo , Haryo Kusumo, Haryo Lalang Erawan Lalang Erawan Lutfi Ubaidillah Marjuni, Aris Moh Muthohir Mulyanto, Edy Munifah Murwoko, F Iwan Setyo Myra Andriana Norman, Maria Bernadette Chayeenee Nova Rijati Nur Rokhman Octaviani, Dhita Aulia Paramita, Cinantya Pulung Nurtantio Andono Putri, Chana Amelinda Rafsanjani, Muhammad Ivan Rahardian, Farhan Rifal Winazar Rifal Winazar Roymon Panjaitan Saputra, Ahmad Bintang Savicevic, Anamarija Jurcev Septiani, Karlina Dwi Shier Nee Saw Sinaga, Daurat Sri Wahyuning Suprapti suprayogi Suprayogi Suprayogi Syah Putra, Fernanda Mulya T.Sutojo Tantik Sumarlin . Taqius Shofi Albastomi Taufik Kurnialensya Triginandri, Rifqi Ubaidillah , Lutfi Utomo, Danang Wahyu Widya Laksana, Deddi Award Winarsih, Nurul Anisa Sri Yani Parti Astuti Yuli Fitrianto