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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) Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknologi Informasi dan Komunikasi Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Journal of Engineering, Electrical and Informatics (JEEI) Dinamika Jurnal Publikasi Ilmu Komputer dan Multimedia 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
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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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.
Pelatihan Penggunaan Mendeley dan MS. Word Untuk Otomatisasi Penulisan Karya Ilmiah Untuk Guru dan Dosen Pada PPMULTINDO Cahaya Jatmiko; Sindhu Rakasiwi; Deddy Award Widya Laksana; Lalang Erawan; Candra Irawan
Community : Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 3 (2024): 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/kfzphr34

Abstract

Pelatihan penggunaan Mendeley dan MS. Word untuk otomatisasi penulisan karya ilmiah diadakan untuk meningkatkan efisiensi dan akurasi dalam penulisan referensi dan format dokumen ilmiah. Pelatihan ini melibatkan 137 peserta menggunakan media zoom yang terdiri dari guru dan dosen dari Perkumpulan Profesi Multimedia dan Teknologi Informasi. Mendeley merupakan alat manajemen referensi yang membantu dalam pengorganisasian dan penyusunan kutipan secara otomatis, sementara MS. Word menyediakan fitur otomatisasi format yang mempermudah penulisan karya ilmiah sesuai dengan standar akademik. Studi yang relevan menunjukkan bahwa pelatihan semacam ini dapat meningkatkan keterampilan teknis dan produktivitas peserta dalam penulisan ilmiah. Hasil kegiatan pelatihan para peserta guru dan dosen mampu menghasilkan karya ilmiah yang lebih terstruktur dan berkualitas tinggi dalam waktu yang lebih singkat. Dengan demikian, pelatihan ini menjadi langkah penting dalam mendukung profesionalisme dan kualitas publikasi ilmiah di kalangan guru dan dosen.
Pelatihan Pengembangan Media Pembelajaran Menggunakan Animaker Untuk Guru dan Dosen Pada PPMULTINDO Sindhu Rakasiwi; Heru Lestiawan; Suprayogi; Feri Agustina; Daurat Sinaga
Community : Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 3 (2024): 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/vmqpnx34

Abstract

Dalam era digital saat ini, guru dan dosen diharapkan mampu mengintegrasikan teknologi dalam proses pembelajaran. Pelatihan pengembangan media pembelajaran menggunakan Animaker diadakan untuk membantu mereka dalam menciptakan konten pembelajaran yang menarik dan interaktif. Pelatihan ini dilaksanakan tim dosen UDINUS Semarang yang melibatkan 125 peserta yang terdiri dari guru dan dosen dari PPMULTINDO. Tujuan pelatihan ini agar bisa meningkatkan literasi digital dan keterampilan teknis peserta dalam membuat bahan ajar yang interaktif. Hasil dari kegiatan ini, para guru dan dosen mampu menghasilkan bahan ajar yang lebih inovatif, sehingga dapat meningkatkan motivasi belajar siswa. Dengan demikian, pelatihan ini menjadi langkah penting dalam mendukung transformasi pendidikan di era digital.
Diagnosis Dini Penyakit Mata: Klasifikasi Citra Fundus Retina dengan Convolutional Neural Network VGG-16 Putri, Chana Amelinda; Rakasiwi, Sindhu
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 1 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i1.29571

Abstract

Retinal fundus image-based eye disease classification is important to support early diagnosis of vision disorders such as cataracts, glaucoma, and diabetic retinopathy. This study aims to diagnose early eye diseases with retinal fundus image classification using Convolutional Neural Network VGG-16. The model was developed to detect cataract, glaucoma, and diabetic retinopathy to support early diagnosis. The dataset used comes from Kaggle, including 4,217 retinal fundus images consisting of 1,038 cataract, 1,007 glaucoma, 1,098 diabetic retinopathy, and 1,074 normal images. The images were processed through normalization, augmentation, and resizing to 224×224 pixels, with the dataset divided in a ratio of 80:10:10 for training, validation, and testing. Results showed that the VGG-16 model with transfer learning achieved 88% accuracy, a 10% increase from the previous 75% in the CNN model without transfer learning. This model has the potential to be integrated in clinical decision support systems or mobile applications to improve the speed and accuracy of diagnosis. Limitations of the study include the limited dataset size and potential data bias that may affect the accuracy of the model in detecting eye diseases early, so future research is recommended to use larger and more diverse datasets, as well as explore other deep learning architectures to improve classification performance.
Pelatihan Desain Layout Buku Monograf dengan Canva untuk Guru dan Dosen pada PPMULTINDO Cahaya Jatmoko; Sindhu Rakasiwi; Feri Agustina; Daurat Sinaga; Heru Lestiawan
Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial Vol. 2 No. 4 (2025): November : Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karya.v2i4.2362

Abstract

In the midst of the demand to actively publish scientific papers, the ability to design is a significant added value for teachers and lecturers. This report outlines a monograph book layout design training with Canva held for academics at PPMULTINDO. The main purpose of this activity is to provide practical skills so that participants can independently produce professional book layouts. This training uses an interactive workshop method, where participants are guided from the introduction of Canva's features, the application of design principles, to the practice of preparing layout chapters by chapter. As a result, participants demonstrated a significant improvement in their ability to operate Canva for publication design needs. They are able to produce a structured, consistent, and visually appealing layout. Thus, this training has succeeded in becoming a practical solution for academics to efficiently improve the visual quality of their monograph books
Pelatihan Membangun Media Evaluasi Pembelajaran Menggunakan Quizziz pada Guru dan Dosen Perkumpulan Profesi Multimedia dan Teknologi Informasi (PPMULTINDO) Sindhu Rakasiwi; Cahaya Jatmoko; Candra Irawan; Lalang Erawan; Suprayogi Suprayogi; Deddy Award Widya Laksana
Pelayanan Unggulan : Jurnal Pengabdian Masyarakat Terapan Vol. 2 No. 4 (2025): November: Pelayanan Unggulan : Jurnal Pengabdian Masyarakat Terapan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/unggulan.v2i4.2365

Abstract

This community service activity aims to provide insight and training to teachers and lecturers who are members of the Multimedia and Information Technology Professional Association (PPMULTINDO) regarding the use of the Quizizz application as a learning evaluation medium. The background of this activity is that there is a challenge for educators to continue to innovate in the digital era, but there are still obstacles in the form of a lack of introduction and insight into Quizizz, as well as the assumption that the development of technology-based evaluation media is complicated. This training was carried out online through the Zoom application with tutorial, guidance, and consultation methods. The results achieved are that the trainees gain basic understanding and skills in using Quizizz to support a more effective and interactive learning process. This activity is expected to motivate teachers and lecturers to develop technology-based evaluation media and contribute to the advancement of education in the future.
Enhancing Interpretable Multiclass Lung Cancer Severity Classification using TabNet Norman, Maria Bernadette Chayeenee; Dewi, Ika Novita; Salam, Abu; Utomo, Danang Wahyu; Rakasiwi, Sindhu
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11417

Abstract

Lung cancer poses a significant global mortality challenge, with early clinical detection hindered by non-specific symptoms making accurate diagnosis dependent on extracting subtle patterns from often complex medical tabular data. Traditional machine learning approaches often fall short in capturing intricate patterns within such heterogeneous datasets, hindering effective clinical decision support. This research introduces TabNet, an interpretable deep learning architecture, for multiclass lung cancer severity prediction (low, medium, high). Utilizing the Kaggle Lung Cancer dataset, our methodology leverages TabNet's unique attention-based feature selection for end-to-end processing of tabular data, enabling adaptive identification of key predictors and crucial model interpretability. To effectively assess its predictive capabilities and ensure robust performance, the model was trained with default configurations and validated through stratified 5-fold cross-validation, achieving outstanding performance on the test set: 98.50% accuracy, a 0.98 F1-score, and a 0.9996 macro-AUC-ROC. Beyond its robustness, confirmed by stable learning curves, interpretability analysis highlighted 'Genetic Risk' and 'Shortness of Breath' as dominant factors. Our results underscore TabNet's efficacy as a reliable, robust, and inherently interpretable solution, offering significant potential to improve the precision and transparency of lung cancer severity assessment in clinical practice.
Utilization of E-money for School Payments Using Web-Based RFID Sensors Rakasiwi, Sindhu; Kusumo, Haryo
Advance Sustainable Science, Engineering and Technology Vol 3, No 2 (2021): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v3i2.9721

Abstract

School payments are a very important issue to support a school that is used to meet infrastructure and other needs. Therefore, if there is an error in writing or the loss of payment data, a difficult problem will arise. Because the payment process is still manual using a notebook.By utilizing E-money and RFID Sensors in the school payment process, it will be very helpful to create an effective and efficient payment process. That is by using school student cards as self-identity in searching for data that will be linked to a web as a basis. In paying school fees, you can also use E-money for the payment process. Therefore, the author will use electronic money to process the payment. That is by utilizing server-based electronic money in the form of applications such as OVO and DANA. Because it is easier and has been registered with Bank Indonesia, it will be guaranteed safe. The way it works is the first by installing an RFID sensor on the student card which functions as a means of finding personal data or identity so there is no need to search for data one by one manually. Furthermore, it will be linked to the website as a payment basis, where when the RFID sensor is successful in scanning student data, a payment option will appear, which can be paid directly or through the available OVO and DANA electronic money.
Co-Authors Abu Salam Agustinus Budi Santoso Albastomi, Taqius Shofi Andi Dharu Permana Andriana, Myra 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 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 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 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 Rifal Winazar Rifal Winazar Roymon Panjaitan 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 Yani Parti Astuti Yuli Fitrianto