Garuda - Garba Rujukan Digital

Analisis Bibliometrik tentang Peningkatan Profesional Guru di Era Digital Soelistianto, Farida Arinie; Nurmiati, Ai Siti; Khristiana, Harrij Mukti; Aniati, Aniati; Rahman, Ali
Jurnal Pendidikan West Science Vol 3 No 03 (2025): Jurnal Pendidikan West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jpdws.v3i03.2698

Penelitian ini bertujuan untuk menganalisis lanskap penelitian mengenai peningkatan profesional guru di era digital melalui pendekatan bibliometrik dengan menggunakan perangkat lunak VOSviewer. Data penelitian diperoleh dari basis data Scopus dengan rentang publikasi 2000–2025 dan dianalisis berdasarkan kata kunci, penulis, serta kolaborasi antarnegara. Hasil analisis menunjukkan bahwa tema professional development dan teaching menjadi pusat diskursus akademik, sementara isu digital competence, digital literacy, TPACK, dan pemanfaatan artificial intelligence muncul sebagai frontier penelitian terkini. Visualisasi overlay memperlihatkan pergeseran fokus riset dari topik integrasi teknologi dasar (blended learning, learning systems) ke arah literasi digital yang lebih kompleks dan transformasi pendidikan berbasis teknologi mutakhir. Analisis jaringan penulis menunjukkan adanya kelompok penulis inti yang menjadi penggerak riset, sedangkan kolaborasi antarnegara menempatkan Amerika Serikat, Jerman, Portugal, dan China sebagai hub utama, dengan Indonesia mulai masuk dalam jaringan global. Studi ini memberikan implikasi praktis bagi lembaga pendidikan dan pembuat kebijakan untuk memperkuat program pelatihan guru berbasis digital, sekaligus kontribusi teoretis dalam memperkaya pemahaman tentang profesionalisme guru melalui perspektif Resource-Based View dan Dynamic Capabilities. Namun, penelitian ini memiliki keterbatasan karena hanya menggunakan basis data Scopus dan mengandalkan analisis bibliometrik yang belum mendalami isi artikel secara kontekstual.

The Influence of ChatGPT Integration, Team Collaboration, and Communication Patterns on Student Project Performance in Software Engineering Practicum at a Private University in West Java Soelistianto, Farida Arinie; Triwiyatno, Aris; Karnoto, Karnoto
West Science Interdisciplinary Studies Vol. 3 No. 10 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i10.2341

This study examines the effects of ChatGPT integration, team collaboration, and communication patterns on student project performance in a Software Engineering Practicum course at a private university in West Java, Indonesia. The emergence of generative AI tools such as ChatGPT presents new opportunities for enhancing learning engagement and teamwork in higher education. Using a quantitative approach, data were collected from 150 students through a Likert-scale questionnaire, and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The findings reveal that ChatGPT integration has a significant positive impact on both team collaboration and communication patterns, which in turn strongly influence project performance. Among all variables, communication patterns emerged as the strongest predictor of success, followed by team collaboration and ChatGPT integration. Furthermore, team collaboration mediates the relationship between ChatGPT use and project performance, indicating that AI tools are most effective when embedded within social learning processes. The model demonstrated high explanatory power (R² = 0.790) and strong predictive relevance (Q² = 0.785). These results highlight that ChatGPT acts not as a replacement for human effort, but as a cognitive collaborator that strengthens teamwork and communication, ultimately enhancing learning outcomes in AI-assisted project-based education.

The Influence of ChatGPT Integration, Team Collaboration, and Communication Patterns on Student Project Performance in Software Engineering Practicum at a Private University in West Java Soelistianto, Farida Arinie; Triwiyatno, Aris; Karnoto, Karnoto
West Science Interdisciplinary Studies Vol. 3 No. 10 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i10.2341

This study examines the effects of ChatGPT integration, team collaboration, and communication patterns on student project performance in a Software Engineering Practicum course at a private university in West Java, Indonesia. The emergence of generative AI tools such as ChatGPT presents new opportunities for enhancing learning engagement and teamwork in higher education. Using a quantitative approach, data were collected from 150 students through a Likert-scale questionnaire, and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The findings reveal that ChatGPT integration has a significant positive impact on both team collaboration and communication patterns, which in turn strongly influence project performance. Among all variables, communication patterns emerged as the strongest predictor of success, followed by team collaboration and ChatGPT integration. Furthermore, team collaboration mediates the relationship between ChatGPT use and project performance, indicating that AI tools are most effective when embedded within social learning processes. The model demonstrated high explanatory power (R² = 0.790) and strong predictive relevance (Q² = 0.785). These results highlight that ChatGPT acts not as a replacement for human effort, but as a cognitive collaborator that strengthens teamwork and communication, ultimately enhancing learning outcomes in AI-assisted project-based education.

The Influence of Device Compatibility and IoT System Architecture on Adoption Rate and Usability in the Implementation of Smart Homes in Modern Housing in Tangerang Soelistianto, Farida Arinie; Lesmana, Tera; Fildansyah, Rully
West Science Social and Humanities Studies Vol. 3 No. 10 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i10.2328

This study investigates the influence of device compatibility and IoT system architecture on adoption rates and ease of use in smart home implementation within modern housing developments in Tangerang, Indonesia. Employing a quantitative research approach, data were collected from 125 respondents using a structured questionnaire measured on a five-point Likert scale. The data were analyzed through Structural Equation Modeling–Partial Least Squares (SEM-PLS 3) to test the relationships among constructs. The results reveal that both device compatibility and IoT system architecture significantly and positively influence ease of use, which in turn mediates their effects on adoption rates. A robust IoT system architecture enhances interoperability and system responsiveness, improving user perceptions of convenience and reliability. The findings underscore that technical design and user-centric system integration jointly determine the success of smart home adoption. This research contributes to extending the Technology Acceptance Model (TAM) within the IoT context and offers practical implications for developers, policymakers, and housing planners in fostering inclusive and sustainable smart living environments in Indonesia.

Teknologi IoGT dan Sensor Cerdas untuk Inovasi di Industri Geosains: Sebuah Systematic Literature Review Soelistianto, Farida Arinie; Hendry, Yosse
Jurnal Geosains West Science Vol 3 No 03 (2025): Jurnal Geosains West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jgws.v3i03.2810

Studi ini secara sistematis mengkaji integrasi Internet of Geoscience Things (IoGT) dan teknologi sensor pintar sebagai katalisator inovasi di industri geosains. Melalui tinjauan literatur sistematis terhadap lima belas publikasi yang telah direview oleh rekan sejawat dari Google Scholar (2015–2025), studi ini mengidentifikasi kerangka kerja teknologi, aplikasi, dan hasil inovasi dari implementasi IoGT dalam eksplorasi geologi, pemantauan lingkungan, dan pengelolaan sumber daya. Hasil penelitian menunjukkan bahwa arsitektur IoGT—yang terdiri dari sensor pintar, jaringan nirkabel, dan analisis cerdas—memungkinkan pemantauan real-time, pemodelan prediktif, dan operasi otonom di berbagai bidang geosains. Sensor pintar meningkatkan akurasi data, keamanan, dan keberlanjutan, sementara integrasi Big Data, Kecerdasan Buatan (AI), dan komputasi tepi (edge computing) meningkatkan efisiensi pengambilan keputusan. Meskipun telah terjadi kemajuan signifikan, tantangan tetap ada, termasuk interoperabilitas data, keamanan siber, efisiensi energi, dan keterbatasan infrastruktur di wilayah berkembang. Studi ini menyimpulkan bahwa IoGT dan sensor pintar mendorong transformasi digital geosains, mempromosikan keberlanjutan dan inovasi. Penelitian masa depan harus menekankan kolaborasi lintas disiplin, standarisasi, dan pengembangan digital twin untuk memperkuat sistem “Smart Geoscience 5.0” generasi berikutnya.

The Effect of Using Environmentally Friendly Materials and Energy Efficiency in the Production Process on Reducing Carbon Emissions in the West Java Automotive Industry Soelistianto, Farida Arinie; Ansori, Tirangga; Haslinah, Andi; Atmadja, Martono Dwi; Utomo, Bekti
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.934

This research quantitatively analyzes the effect of integrating environmentally friendly materials and energy-efficient production processes on reducing carbon emissions in the West Java automotive industry. Through surveys and statistical analysis, the study examines the adoption of sustainable practices among automotive manufacturers and assesses their impact on carbon emissions reduction. Findings indicate that companies actively embracing sustainable practices demonstrate a significant reduction in carbon emissions compared to those with minimal adoption. The results underscore the importance of prioritizing sustainability initiatives within the automotive industry to mitigate environmental impacts and contribute to global efforts to combat climate change.

Ambient Air Quality Detection System Powered by Internet of Things-Based Sansevieria Plant (Case Study of Manduro Health Center) Purnamasari, Sinta Winda; Soelistianto, Farida Arinie; Junus, Mochammad; Saptono, Rachmad
West Science Interdisciplinary Studies Vol. 2 No. 08 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i08.1223

Puskesmas Manduro is one of the public health service centers located at Jl. Raya Ngoro KM 14, Manduro MG Village, Ngoro District, Mojokerto Regency, East Java. As a basic health service center, it is important to monitor air quality and maintain air quality in accordance with the Environmental Quality Standard (SBMKL). This study aims to design an Internet of Things-based air quality detection system that utilizes Sansevieria plants as one of the natural solutions in absorbing air pollution levels. The method used is the research and development method which includes system design, tool making, website design, tool integration, and system testing. The sensors used are MQ-7 sensors for carbon monoxide gas, MQ-135 sensors for nitrogen dioxide gas, MQ-131 sensors for ozone gas, Dust GP2Y1010AU0F sensors for PM2.5, and DHT22 sensors for temperature and humidity. The results of testing the system for three days obtained the average temperature 30.64C, humidity 73.62%, CO 735.63 µg/m³. NO2 27.30 µg/m³, O3 32.13 30 µg/m³, and PM2.5 2.14 µg/m³. Based on the test results that have been carried out, it shows that the air quality monitoring system can provide data, graphs, and indicator levels for the Air Pollution Standard Index (ISPU). Air quality data obtained from sensors can be displayed on the LCD and also displayed in real-time through the website.

IoT Based Poultry Cage Quality Monitoring System Soelistianto, Farida Arinie; Indrianto, Argo; Anshori, Abdullah; Rizza, Nur
West Science Interdisciplinary Studies Vol. 2 No. 09 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i09.1287

This research aims to create a better cage quality monitoring system in poultry farms, the parameters observed in particular are ammonia gas, where this gas greatly affects the health and productivity of laying hens, the data taken is processed in percentage terms and a comparison of several conditions in the location where the equipment is placed. The system is made using ESP32 microcontroller as the main board, DHT22 as a temperature and humidity sensor, MQ135 as a sensor to detect ammonia gas levels, GY302/BH1750 as a light sensor, light sensor or light meter sensor is used to optimize the circadian cycle of laying hens, the monitor system uses data sent by the main board to the database and taken as output by the mobile application. At the implementation stage, the system is able to function properly where the monitor system can send and receive data with the database as an intermediary between hardware and software. The DHT22 sensor can detect temperature and humidity changes with minimal error, the error rate obtained for DHT22 sensor reaches 2.26%, the MQ135 sensor can detect ammonia gas levels according to set program, the GY302/BH1750 sensor can detect changes in light with quite optimal accuracy, all sensor activities can be monitored through the software that has been created, when the system is used for a long period of time periodically the main board will stop sending data to the database, This can last 30 to 40 minutes, with a reboot solution.

Design and Development of An Integrated Monitoring System for Nebulizer and Infusion for Lung Disease Patients Based on IoT Arrafi, Atha Azhar; Soelistianto, Farida Arinie; Anshori, Moh. Abdullah
West Science Interdisciplinary Studies Vol. 2 No. 10 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i10.1314

This research develops an Internet of Things (IoT)-based monitoring system for nebulizers and infusion devices for patients with lung diseases, specifically Acute Respiratory Infections (ARI). The aim is to improve nursing efficiency and minimize the risk of complications due to delayed patient care by enabling remote monitoring and providing real-time information on the status of nebulizers and infusion devices via a website. The system is designed to stop the infusion fLow when the required amount is reached and to automatically turn off the nebulizer when there is no liquid. It uses an ESP32 microcontroller to control IR obstacle sensors, relays, and a servo motor for the infusion clamp, as well as an LCD display for digital information and feature displays. The system is also equipped with an alarm to indicate when the infusion liquid or nebulizer is depleted and a website to provide real-time status information to medical personnel. Testing shows that the system has a high accuracy of 98.7% and minimal error of approximately 1.82% in monitoring and controlling nebulizer and infusion fluids. In conclusion, the system successfully improves nursing efficiency and patient safety while reducing the workload of nurses through the automation of medical devices that were previously managed manually.

Leaky Feeder as A VoIP Transmission Medium Atmadja, Martono Dwi; Soelistianto, Farida Arinie; Kristiana, Harrij Mukti; Indrianto, Argo
West Science Interdisciplinary Studies Vol. 2 No. 10 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i10.1339

VoIP (Voice over Internet Protocol) is a technology that allows its user to transmit voices using an internet network, although the technology uses the internet as its transmission medium VoIP still uses cable for most of its applications resulting in complicated cable management if not managed properly, this method can be optimized via wireless transmission for more efficient mobility and system configuration. This research aims to find out the capabilities of Leaky Feeder cable as a medium for VoIP transmission. A leaky feeder system consists of a single cable that runs along its designated space. This cable has gaps that allow the radio signal to leak into or out of the cable along its entire length meaning it can cover a larger area than the usual point-to-point transmission using cable. The parameters observed in particular are Signal Strength, Bit Rate, Packet Loss, Delay, and Throughput, the data obtained is taken quantitatively and its average value is calculated to ensure the system efficiency. Signal Strength trial shows an average value of -60.25 dBm, while also having an uplink and downlink of each 14.86 Mbps and 12.79 Mbps, Bit Rate trial shows that the more clients are served the less bandwidth each client will have , The Packet Loss trial shows an outstanding 0.71% loss, the delay trial shows an average of 20.5ms delay with -40dbm signal quality, and finally Throughput trial shows the highest value at 388Kbps when performing one call with -65dbm signal quality . This shows that the application of Leaky Feeder cable use on VoIP transmission is in a good category. Using Leaky Feeders in buildings can also reduce the number of Access Point installations required to cover the same area.

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