Garuda - Garba Rujukan Digital

Program Aplikasi Kontrol Dan Pemodelan Matematika Levitasi Magnetik Wardhani, Rika Novita
MULTINETICS Vol 1, No 2 (2015): MULTINETICS Nopember (2015)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.Vol1.No.2.2015.pp.43-49

Rancang bangun magnetik levitasi berbasis LabVIEW versi 8.5 dan NI-DAQ 6008 merupakan suatu sistem untuk menganalisis grafik output dan membuktikan bahwa gaya elektromagnet dapat digunakan untuk melawan gaya gravitasi bumi. Sistem ini terdiri dari hardware dan software. Software yang digunakan adalah LabVIEW versi 8.5. Hardware yang digunakan adalah NI-DAQ (National Instrumen Data Acquisition). NI-DAQ berfungsi sebagai interface yang menghubungkan antara pengkondisian sinyal dengan komputer yang akan mengolah data dengan aplikasi LabVIEW versi 8.5. Sensor yang digunakan adalah sensor hall effect (UGN 3503) dengan tegangan output 2,69V hingga 3,7V dan sensor infrared yang digunakan untuk mendeteksi objek melayang dalam jarak 4-24mm dari kumparan. Setpoint tegangan yang digunakan dalam software adalah sebesar 3,6V.Pengukuran dapat dilakukan secara nyata melalui layar komputer dengan bantuan aplikasi LabVIEW versi 8.5. Proses pengukuran juga dapat dimonitor dan dianalisa dengan aplikasi LabVIEW. Program dibuat sesuai dengan perencanaan yang telah dibuat sebelumnya. Hasil pengukuran berupa grafik kuat medan magnet pada front panel LabVIEW.

DESAIN SISTEM PEMANTAUAN KUALITAS AIR PADA PERIKANAN BUDIDAYA BERBASIS INTERNET OF THINGS DAN PENGUJIANNYA Dwiyaniti, Murie; Wardhani, Rika Novita; Zen, Toha
MULTINETICS Vol 5, No 2 (2019): Multinetics Nopember (2019)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.Vol5.No.2.2019.pp.1-5

Memonitor kualitas air pada perikanan budidaya sangatlah penting. Hal ini terkait dengan upaya mengoptimalkan pertumbuhan ikan dan meningkatkan hasil produksi. Umumnya kegiatan ini dilakukan secara manual, yaitu dengan mengambil contoh air kolam pada pagi, siang, dan malam hari, lalu hasil pengukuran di analisa. Hal ini sangat tidak efektif. Sehingga pada penelitian ini, kami merancang sistem pemonitor kualitas air yang dapat memastikan kondisi air secara real time, memeriksa nilai parameter melalui Smartphone, dan menerima pemberitahuan alarm jika terjadi perubahan nilai diluar rentang nilai yang telah ditentukan.Sistem ini terdiri dari tiga bagian yang saling terintegrasi yaitu (1) empat sensor yang penting dalam pertumbuhan ikan yaitu, DO, suhu, pH, dan salinitas; (2) RTU berbasis mikrokontroler ESP32 dan ADS115 sebagai kontroler dan ADC; (3) Blynk sebagai display pemonitoring nilai parameter yang berbasis Internet of Things. Hasil pengujian menunjukkan bahwa sistem ini dapat berfungsi dengan baik. Alarm berbunyi dan notifikasi alarm terbaca di smartphone apabila nilai parameter diluar rentang yang telah ditentukan.

Dental Caries Segmentation using Deformable Dense Residual Half U-Net for Teledentistry System Iklima, Zendi; Trie Maya Kadarina; Priambodo, Rinto; Riandini, Riandini; Wardhani, Rika Novita; Setiowati, Sulis
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 4 (2024): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i4.511

Clinical practitioners’ workload and challenges are significantly reduced by classifying, predicting, and localizing lesions or dental caries. In recent research, a high-reliability diagnostic system within deep learning models has been implemented in a clinical teledentistry system. In order to construct an efficient, precise, and lightweight deep learning architecture, it is dynamically structured. In this paper, we present an efficient, accurate, and lightweight deep learning architecture for augmenting spatial locations and improving the transformation modeling abilities of fixed-structure CNNs. Deformable Dense Residual (DDR) enhances the efficacy of the residual convolution block by optimizing its structure, thereby mitigating model redundancy and ameliorating the challenge of vanishing gradients encountered during the training stages. DDR Half U-Net presents notable advancements to the simplified U-Net framework across three pivotal domains: the encoder, decoder, and loss function. Specifically, the encoder integrates deformable convolutions, thereby enhancing the model's capacity to discern features of diverse scales and configurations. In the decoder, a sophisticated arrangement of dense residual connections facilitates the fusion of low-level and high-level features, contributing to comprehensive feature extraction. Moreover, the utilization of a weight-adaptive loss function ensures equitable consideration of both caries and non-caries samples, thereby promoting balanced optimization during training.

A simplified dental caries segmentation using Half U-Net for a teledentistry system Kadarina, Trie Maya; Iklima, Zendi; Priambodo, Rinto; Riandini, Riandini; Wardhani, Rika Novita; Setiowati, Sulis; Jusoh, Mohd Taufik
SINERGI Vol 28, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.2.005

High-reliability diagnostic equipment efficiently supported by a computer-based diagnostics system. For instance, a computational approach establishes a model that can diagnose diseases. Artificial intelligence has been applied to aid in the field of medical imaging. Classification, prediction, and localisation of lesions or dental caries greatly minimise the load and difficulties for clinical practitioners. In this study, U-Net architectures are simplified to propose the feature reduction of the decoder layers. This simplification of U-Net architectures is utilised for segmented dental caries images. This paper simplified the U-Net decoder layers into the level of blocks Half-UNet () and Half-UNet (). The Half-UNet structural model surpasses the U-shaped structural model in terms of efficiency and segmentation capabilities. The simplification of the UNet architecture outperformed using Half-UNet 0.83% of the dice coefficient. The Half-UNet design is able to preserve model performance in segmenting actual images and ground truth against expected ground truth.

Improving English speaking skills through project-based learning (PjBL): A case study of computer assisted language learning (CALL) Widyawati, Yogi; Siregar, Elitaria Bestri Agustina; Wardhani, Rika Novita
Journal of Applied Studies in Language Vol. 8 No. 2 (2024): December 2024
Publisher : Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/jasl.v8i2.113-123

The mini research aims to assist students of 2nd semester at Electronic Department of PNJ to improve their English-speaking skills. Since the Project-Based Learning has been put into the curriculum, every subject must be connected to it. The study was conducted through the following stages: observation, coaching and action. It involved 44 students of the 2nd semester and a teacher as a facilitator. The students were asked to do final project based on Computer Assisted Language Learning (CALL). The results were mini videos which were upload in social media (YouTube). The impact of this activity was significant. Students’ score in speaking skills were improved 75%. It means that project based on CALL motivates students and “force” students to speak actively.

Enhancing Renewable Energy Utilization in Remote Areas Through an Accessible IoT Monitoring Framework: A Case Study on Tidung Island Dwiyaniti, Murie; Isdawimah, Isdawimah; Nadhiroh, Nuha; Setiana, Hatib; Muchlishah; Monika, Dezetty; Wardhani, Rika Novita; Tahazen, Tahazen
Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI Vol. 14 No. 2 (2025)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v14i2.93685

This research addresses the lack of an accurate and efficient monitoring system for renewable energy utilization in Tidung Island. Despite its high solar and wind energy potential, the absence of real-time environmental data hinders optimal energy management. Existing IoT-based monitoring systems are costly and complex, making them unsuitable for remote areas. This research integrates Blynk IoT and Google Sheets database for real-time, cost-effective, and easily accessible data storage. This system enables real-time data acquisition to support efficient energy management and environmental monitoring in remote areas. Testing results show that the Telkomsel 4G modem provides a more stable connection with lower latency and minimal packet loss. Temperature remains between 25–30°C, while humidity fluctuates up to 100% at night. Wind speed is classified as low to moderate (1.0–6.1 m/s), and CO₂ levels range from 400–600 PPM, remaining within safe limits. These findings suggest the need for improved energy storage, system resilience against environmental changes, and adaptive energy management strategies for optimal hybrid renewable energy utilization.

Web Design and Development of 'Peduli PMI' System for Managing Complaints and Protection of Indonesian Migrant Workers Dwiyaniti, Murie; Wardhani, Rika Novita; Nadhiroh, Nuha; Wulandari, Asri; Frendiana, Viving; Biyanto, Farhan Yuswa
IJNMT (International Journal of New Media Technology) Vol 12 No 1 (2025): Vol 12 No 1 (2025): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v12i1.3854

Indonesian Migrant Workers (PMI) face high occupational risks, making it essential to provide them with appropriate attention to prevent and reduce unwanted incidents. A computerized system in the form of a web application can assist administrators in managing PMI complaints and protection more effectively. Through this system, administrators can handle PMI data, manage content such as news and announcements, monitor statistics related to users, complaints, and protection cases, and manage complaint and protection data submitted by PMI to ensure their safety. This study aims to design and develop a Complaint and Protection Management System Website for PMI in Malaysia. The system includes four main features: secure admin access with login, user registration, password recovery, and administrative capabilities. Administrators can manage user data, handle complaints, update report status, respond to complaints, view other administrators' lists, and modify personal data and password settings. Additionally, they can manage front-end content for the mobile application, including news and announcements. This system is designed to be efficient and responsive to the needs of PMI. The study conducted four tests”Functionality Testing, API Testing, Performance Testing, and Security Testing. Results indicate that the system meets required standards, with no errors detected during testing.

Improving English speaking skills through project-based learning (PjBL): A case study of computer assisted language learning (CALL) Widyawati, Yogi; Siregar, Elitaria Bestri Agustina; Wardhani, Rika Novita
Journal of Applied Studies in Language Vol. 8 No. 2 (2024): December 2024
Publisher : Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/jasl.v8i2.113-123

The mini research aims to assist students of 2nd semester at Electronic Department of PNJ to improve their English-speaking skills. Since the Project-Based Learning has been put into the curriculum, every subject must be connected to it. The study was conducted through the following stages: observation, coaching and action. It involved 44 students of the 2nd semester and a teacher as a facilitator. The students were asked to do final project based on Computer Assisted Language Learning (CALL). The results were mini videos which were upload in social media (YouTube). The impact of this activity was significant. Students’ score in speaking skills were improved 75%. It means that project based on CALL motivates students and “force” students to speak actively.

Program Aplikasi Kontrol Dan Pemodelan Matematika Levitasi Magnetik Wardhani, Rika Novita
MULTINETICS Vol. 1 No. 2 (2015): MULTINETICS Nopember (2015)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v1i2.1181

Rancang bangun magnetik levitasi berbasis LabVIEW versi 8.5 dan NI-DAQ 6008 merupakan suatu sistem untuk menganalisis grafik output dan membuktikan bahwa gaya elektromagnet dapat digunakan untuk melawan gaya gravitasi bumi. Sistem ini terdiri dari hardware dan software. Software yang digunakan adalah LabVIEW versi 8.5. Hardware yang digunakan adalah NI-DAQ (National Instrumen Data Acquisition). NI-DAQ berfungsi sebagai interface yang menghubungkan antara pengkondisian sinyal dengan komputer yang akan mengolah data dengan aplikasi LabVIEW versi 8.5. Sensor yang digunakan adalah sensor hall effect (UGN 3503) dengan tegangan output 2,69V hingga 3,7V dan sensor infrared yang digunakan untuk mendeteksi objek melayang dalam jarak 4-24mm dari kumparan. Setpoint tegangan yang digunakan dalam software adalah sebesar 3,6V.Pengukuran dapat dilakukan secara nyata melalui layar komputer dengan bantuan aplikasi LabVIEW versi 8.5. Proses pengukuran juga dapat dimonitor dan dianalisa dengan aplikasi LabVIEW. Program dibuat sesuai dengan perencanaan yang telah dibuat sebelumnya. Hasil pengukuran berupa grafik kuat medan magnet pada front panel LabVIEW.

Desain Sistem Pemantauan Kualitas Air Pada Perikanan Budidaya Berbasis Internet Of Things Dan Pengujiannya Dwiyaniti, Murie; Wardhani, Rika Novita; Zen, Toha
MULTINETICS Vol. 5 No. 2 (2019): MULTINETICS Nopember (2019)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v5i2.2226

Memonitor kualitas air pada perikanan budidaya sangatlah penting. Hal ini terkait dengan upaya mengoptimalkan pertumbuhan ikan dan meningkatkan hasil produksi. Umumnya kegiatan ini dilakukan secara manual, yaitu dengan mengambil contoh air kolam pada pagi, siang, dan malam hari, lalu hasil pengukuran di analisa. Hal ini sangat tidak efektif. Sehingga pada penelitian ini, kami merancang sistem pemonitor kualitas air yang dapat memastikan kondisi air secara real time, memeriksa nilai parameter melalui Smartphone, dan menerima pemberitahuan alarm jika terjadi perubahan nilai diluar rentang nilai yang telah ditentukan.Sistem ini terdiri dari tiga bagian yang saling terintegrasi yaitu (1) empat sensor yang penting dalam pertumbuhan ikan yaitu, DO, suhu, pH, dan salinitas; (2) RTU berbasis mikrokontroler ESP32 dan ADS115 sebagai kontroler dan ADC; (3) Blynk sebagai display pemonitoring nilai parameter yang berbasis Internet of Things. Hasil pengujian menunjukkan bahwa sistem ini dapat berfungsi dengan baik. Alarm berbunyi dan notifikasi alarm terbaca di smartphone apabila nilai parameter diluar rentang yang telah ditentukan.

Title

Found 10 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 10 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 10 Documents
Search