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All Journal PROSIDING CSGTEIS 2013 JUTI: Jurnal Ilmiah Teknologi Informasi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Journal of Computer Science and Informatics Engineering (J-Cosine) Jurnal Pengabdian Magister Pendidikan IPA Buletin Ilmiah Sarjana Teknik Elektro Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Komputer & Kecerdasan Buatan JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Bumigora Information Technology (BITe) KLIK: Kajian Ilmiah Informatika dan Komputer ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Warta Desa (JWD) Prosiding Konferensi Nasional PKM-CSR Jurnal Bakti Nusa Jurnal Pepadu Jurnal Ilmiah Pengabdian dan Inovasi SmartComp JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY) Jurnal Wicara Desa
Giri Wahyu Wiriasto
Universitas Mataram
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Nursing Physics Public Health Social Sciences Other

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SOSIALISASI PENGENDALIAN HAMA DAN PENYAKIT TANAMAN CABAI DI DESA KWANG RUNDUN KABUPATEN LOMBOK TIMUR Aufa Harman, Carlen; Armini, Armini; Januardo, Bryan; Ainun, Muh; Handayani, Ayudina; Nadia, Nadia; Aditya Prayoga, Muhammad; Nadiva Alivia, Baiq; Aini, Qurrotul; Anggun Nadila, Fuji; Wahyu Wiriasto, Giri
Jurnal Wicara Vol 3 No 1 (2025): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v3i1.6763

Abstract

Chilli is one of the most widely cultivated crops in the NTB region, including in Kwang Rundun Village, East Lombok Regency. Farmers' understanding of pest and disease control is needed to improve the quality, quantity and production of chilli. The socialisation of pest and disease control in chilli plants is a form of student contribution in introducing and providing an understanding of pest and disease control in chilli plants. The method of activities carried out in community service has three stages, namely the observation stage, the discussion stage, and the socialisation stage. The farmers gained a thorough understanding of chilli cultivation starting from the seed selection process, how to control pests and diseases to the harvest process. It is hoped that socialisation activities can be held again with different types of cultivated plants because farmers in Kwang Rundun Village do not only cultivate chilli plants.
Detection of Lumpy Disease in Livestock Using the MobileNetV2 Architecture Method Putra, Dion Pratama; Wahyu Wiriasto, Giri; Paniran, Paniran
Jurnal Bumigora Information Technology (BITe) Vol. 6 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v6i2.4401

Abstract

Background: Lumpy Skin Disease (LSD) causes skin lesions, decreased milk production, and death in livestock such as cows. Objective: The purpose of this study is to detect LSD disease quickly and accurately using the Convolutional Neural Network (CNN) MobileNetV2 method based on android application. Method: This study uses a quantitative method with a reuse-oriented development approach and the MobileNetV2 algorithm trained with augmentation data and LSD disease image classification. Result: The results of this study are that the MobileNetV2 classification model is able to detect LSD with an accuracy of 95.91%. The developed application makes it easier for farmers to detect diseases early so that they can accelerate preventive measures. Conclusion: The implications of this study indicate that the MobileNetV2 model can improve the effectiveness of disease detection in livestock and can be applied in animal health applications in the field.
Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) Algorithm Zamroni, Sulthon; Wiriasto, Giri Wahyu; Kanata, Bulkis
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4598

Abstract

In today's digital era, any task or problem can be solved with minimal effort, especially in livestock identification such as cattle. Numerous systems and algorithms have been developed to recognize cattle, ranging from body shape, fur patterns, to specific parts of the cattle. This research aims to develop a cattle muzzle identification system using convolutional neural networks method with Alexnet architecture and to identify the factors that can decrease the accuracy of prediction results. The results of this research can help cattle farmers manage their livestock data more effectively, as traditional identification methods can cause discomfort and stress to the cattle. This research also serves as a reference for future researchers in developing cattle recognition research. Additionally, this research can be used to support insurance programs such as Cattle Farming Insurance (AUTS) to protect farmers from losses due to cattle theft and death. Cattle recognition through their muzzles using the CNN method can produce relatively high results. By slightly modifying the AlexNet architecture, this system can recognize cattle with an accuracy of 85%..
Simulasi Pemanfaatan Aplikasi Sistem Deteksi Pengguna Masker Pada Ruangan Laboratorium Giri Wahyu Wiriasto; Islahul Anwar
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 2 No. 3 (2024): Jurnal Ilmiah Pengabdian dan Inovasi (Maret)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v2i3.365

Abstract

During the post-pandemic or endemic period, the government continues to recommend the use of masks and maintenance of hygiene when engaging in activities outside the home. This extends to activities on the campus of the University of Mataram, particularly in the electrical engineering computer laboratory, where students are consistently encouraged to wear masks. To streamline activities in the laboratory, a Mask Detection System using the Haar Cascade Classifier (HCC) Method integrated with a Telegram Bot has been tested. The trial implementation aims to instill discipline among students in mask usage. This system was developed using Visual Studio Code and Python 3.10 tools, with image data input from a webcam. The HCC method is employed to detect students wearing masks or not in the laboratory, utilizing webcam-captured image data. Subsequently, the Telegram bot sends images if individuals are identified wearing masks. The study results demonstrate the system's capability to detect masks within a range of 30 cm to 120 cm. The warning feature, consisting of recorded images of students wearing masks sent via the Telegram bot, operates effectively.
STUDI PENGEMBANGAN APLIKASI MEDIA PEMBELAJARAN ANATOMI SKELETAL PADA VIRTUAL REALITY MENGGUNAKAN RAPID APPLICATION DEVELOPMENT Wiriasto, Giri Wahyu; Misbahuddin; Rachman, A. Sjamsjiar; Harahap, Ida Lestari; Akbar, L. Syamsul Irfan; Iqbal, M. Syamsu; Fikriansyah, Muhamad
Jurnal Penelitian Pendidikan IPA Vol 10 No 8 (2024): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i8.8722

Abstract

The use of innovative multimedia technology continues to evolve and has now become a primary technology tool in education. Currently, the utilization of virtual reality (VR) technology is being used as an immersive medium for learning, especially in the field of medicine. Immersive technology is presented in 3D visualization, approaching real and relevant objects in medical education as an alternative to traditional teaching aids such as cadavers. In this research, an exploration of the VR environment was conducted in a case study of the skeletal system using 3D skull bone objects. The exploration involved tasks such as preparing the 3D skull bone object data assets in the 3D development environment, exporting data assets to the 3D-VR environment, and configuring aspects related to visualization and object control based on visual C#. So far, documentation of the 3D-VR application development environment and the trial results of the case study object development on the Unity platform have been produced. Additionally, documentation of the interface design application using Rapid Application Development (RAD) has also been generated. The Android-based VR application has functioned well in accommodating the skull object, designed with 3 layers of the skeletal system adjusted to their respective depths. The skull consists of 22 components, including cranium.
RoboVR: A Digital Twin Based Framework for Low-Cost 4DoF Robotic Arm Control Wiriasto, Giri Wahyu; Sendari, Siti; Lestari, Dyah; Iqbal, Muhamad Syamsu; Mochtar, Norrima
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 4 (2025): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i4.14703

Abstract

The growing need for remote operation in risky situations has encouraged the use of robots that can be controlled from virtual environments. Integrating digital twin and virtual reality offers a way to monitor and control physical systems in three dimensional space. However, many existing implementations still depend on expensive robotic hardware and closed-loop control, while digital twin and virtual reality in open-loop mode is rarely reported and still faces the lack of feedback and the risk of mismatch between virtual motion and physical motion.This study proposes an experimental digital twin and virtual reality framework built on lightweight hardware to control a 4-DoF robotic arm using Arduino and PCA9685, with Unity acting both as the digital twin environment and as the source of kinematic commands. Method covers integration design, calibration of Unity angle to PWM mapping, execution on servos, and preparation of data to compare virtual joint angles with measured servo angles. Testing and validation were carried out through stepwise rotation of the ‘Base’, ‘Shoulder’, ‘Elbow’, and ‘End-effector’ joints to evaluate how well the physical motion followed the virtual model. Results show that the right and left ‘Base’ joints achieved small mean errors of -1.60 and 1.8 degrees, with variance of 1.35 and 1.62. The ‘Elbow-down’ motion was also accurate with a mean error of 1.43 degrees and a variance of 0.98. The largest deviation occurred in the ‘Shoulder’ joint, at -10.67 and 26.5 degrees. These findings confirm that open-loop digital twin and virtual reality control is feasible for low-cost platforms.
INFORMATION SYSTEM USING WEB-BASED RAPID APPLICATION DEVELOPMENT METHOD Rangga Satria Wirabangsa; Dwi Ratnasari; Giri Wahyu Wiriasto
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 21, No. 1, January 2023
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v21i1.a1169

Abstract

The service of recording and borrowing goods at the Teacher Learning Center agency is currently still being carried out manually. parties who will borrow goods must come to the teacher learning center directly and record borrowing data and item data is still done manually, whereas at this time it has entered the era of the industrial revolution 4.0, of course, everything will have efficiency and very fast access. With this problem, of course, the right solution is to have a system that can borrow and record goods based on a website. The process of creating and designing a website uses the Rapid Application Development model, which is a method that starts with the requirements planning stage, RAD design workshop (work with users, build system) and implementation. Testing on the application uses alpha and beta testing, alpha testing uses blackbox testing while for beta testing uses the mean opinion score (MOS). Alpha testing obtained the website running according to what was expected to be successful while beta testing obtained a measurement result score with 10 respondents, namely 88.60% based on alpha testing and beta testing, it was concluded that this website was able to meet and support the needs of users and agencies.
SOSIALISASI DAN PENGENALAN ROBOTIKA UNTUK PENGUATAN PEMBELAJARAN STEM DENGAN PENDEKATAN INDUKTIF DI SMP-IT Giri Wahyu Wiriasto; Misbahuddin; Iqbal, Muhamad Syamsu; Rachman, A. Sjamsjiar; Irfan A, L Ahmad Syamsul; Budiman, Djul Fikry
Jurnal Pepadu Vol 6 No 4 (2025): Jurnal Pepadu
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v6i4.8869

Abstract

  Pemerintah mendorong penguatan pendidikan STEM sejak jenjang sekolah dasar untuk membekali siswa dengan literasi sains, teknologi, teknik, dan matematika. Namun, implementasi di sekolah masih menghadapi kendala, seperti keterbatasan sarana, minimnya kit robotika, serta kurangnya kesiapan guru dalam menerapkan inductive reasoning. Selain itu, waktu untuk pembelajaran berbasis proyek dan dukungan kurikulum juga masih terbatas. Kondisi ini mendorong perlunya inisiatif alternatif melalui kegiatan pengabdian masyarakat. Program ini bertujuan untuk memperkenalkan robotika sebagai media pembelajaran STEM berbasis inductive reasoning serta mendukung sekolah dalam menyiapkan kurikulum ekstrakurikuler yang relevan. Kegiatan dilaksanakan melalui sosialisasi dan workshop yang dipisahkan untuk siswa dan guru pendamping. Selain itu, disediakan kit robotika sederhana berbahan habis pakai dipadukan dengan perangkat elektronika, serta pendampingan dalam penyusunan kurikulum STEM berbasis inductive learning. Sosialisasi pengenalan robotika berhasil dilaksanakan di salah satu SMP-IT kota Mataram dan diikuti lebih dari 600 siswa kelas VII–IX. Sebanyak empat guru pendamping terlibat aktif dalam kegiatan. Kit mekanis-elektronis digunakan dalam workshop untuk menunjang praktik langsung siswa, sementara guru memperoleh wawasan baru terkait strategi pembelajaran induktif. Luaran lain berupa rancangan kurikulum STEM berbasis inductive learning yang dapat dijadikan acuan dalam kegiatan ekstrakurikuler. Program ini memperlihatkan antusiasme tinggi dari siswa dan respon positif dari pihak sekolah. Kegiatan ini memperkuat literasi STEM berbasis robotika, menumbuhkan motivasi siswa, serta memberi kontribusi nyata bagi sekolah, siswa dan guru dalam mengembangkan pembelajaran induktif di sekolah.
Integrated Kinematic-Dynamic Modeling and Ontology-Based Design of a Two-Link Planar Robotic Manipulator Giri Wahyu Wiriasto; Patmanthara, Syaad; Sendari, Siti; Lestari, Dyah; Iqbal, Muhamad Syamsu
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.695

Abstract

RadReader: An Enhanced AlexNet-Based GUI Application for Pneumonia Prediction in Thoracic X-Ray Images Wiriasto, Giri Wahyu; Hipzi, Ahdiat Aunul; Suksmadana, I Made Budi; Misbahuddin; Kinasih, Indira puteri; Wiguna, Putu Aditya
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 6 (2025): December 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i6.7023

Abstract

Recent advancements in radiology applications have led to user-friendly interfaces, improving pneumonia diagnosis by accurately differentiating between viral and bacterial pneumonia from thoracic X-rays. This approach enhances diagnostic precision and efficiency while offering intuitive real-time interaction for radiologists. This study aims to achieve two objectives: (i) developing a desktop-based radiology reader application, and (ii) modifying the alexNet architecture for classifying pneumonia based on thoracic X-ray datasets with the output encompassing pneumonia and normal cases. The desktop application assists radiologists in efficient image analysis and is developed using python–Tkinter. Integrate enhanced of AlexNet models which has been modified to better differentiate. The modified alexNet includes changes like adding max pooling in specific blocks and adjusting hidden layer neuron count. The dataset consists of 7442 images, with 4484 positive pneumonia and 2958 normal images obtained from the Mendeley websites. The enhanced alexNet (EAM) model achieves impressive results: 95.36% accuracy, 95.34% precision, 95.28% recall, and 95.31% F1-score for classifying bacterial pneumonia.
Co-Authors ., Sinarep A. Sjamsjiar Rachman AA Sudharmawan, AA Abdurrohman Sudaesi Ade Safarudin Madani Aditya Prayoga, Muhammad Agung Budi Muljono Ahmad Satriadi Ainun, Muh Akbar, L A Syamsul Irfan Akbar, L. Ahmad S. Irfan Akbar, L. Syamsul Irfan al rafif, muhammad roid Anang Wahyudi Adnan Anggun Nadila, Fuji Arga Sutri Pratama Ariessaputra, Suthami Armini, Armini Aufa Harman, Carlen Baiq Nur Alya Bayu Hermawan Bulkis Kanata Chotibul Umam Wiranda Cipta Ramadhani Dion Pratama Putra, Dion Pratama Djul Fikri Budiman Djul Fikry Budiman, Djul Fikry Dwi Andika Saputra, I Made Dwi Ratnasari Dwi Ratnasari Dyah Lestari Fajar Wirayudha, Muhammad Fanani, Rezaldy Fikriansyah, Muhamad Fikriansyah, Muhammad Gladys Fouriza Ibanez Handayani, Ayudina Harahap, Ida Lestari Hartawan, Bagi Hipzi, Ahdiat Aunul I Komang Yoga Tri Pranata I Made Budi Suksmadana I Made Budi Suksmadana I Putu Andika Priyatna Ibzani Ilham Shagianto Indira Puteri Kinasih Iqbal, M. Syamsu Irawansyah, Rody Safri Irfan A, L Ahmad Syamsul Irfan A, Lalu A. Syamsul Irfan Akbar, L. Ahmad Syamsul Islahul Anwar Januardo, Bryan Jurnal Pepadu Kevin Asgaryansyah L Ahmad L. Syamsul Irfan Akbar L.A.S. Irfan Akbar L.A.Syamsul Irfan Akbar L.Syamsul Irfan A Lalu A. Syamsul Irfan Akbar Linda Sari M. Fajar Wirayudha M. Laylul Mustagfirin Made Budi Suksmadana Mira Fitri Cahyani Misbahuddin Misbahuddin Misbahuddin Misbahuddin, Misbahuddin Mochtar, Norrima Mohamad Junaedi Muhamad Syamsu Iqbal Muhammad Agus Ripa’i Muhammad Ilham Fikri Muhammad Irwan Muna Aulia Nadia Nadia Nadiva Alivia, Baiq Ni Made Seniari Nida Shaffitrri Hafidz Nur Melinda Paniran Paniran Paniran prasetyo, Ridho Budi Putra Rahmat Ramadhan Putu Aditya Wiguna Qurrotul Aini Rahman, Fadhillah Umar Rangga Satria Wirabangsa Rangga Satria Wirabangsa Rosmaliati Sahrul Fadli Siti Sendari Sjamsjiar Rachman, Amang Suarjaya, I Made Bayu Suksmadana, I Made Budi Syaad Patmanthara Syafaruddin Ch Syafaruddin Syafaruddin Teti Zubaidah Teti Zubaidah Wicaksono, Eko Prasetyo Windy Pratiwi Candra Santoso Zairina, Zora Zamroni, Sulthon