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All Journal BANGUN REKAPRIMA Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Pedagogy : Journal of English Language Teaching Studi Akuntansi, Keuangan, dan Manajemen Jurnal Farmasi Indonesia
Astuti, Sri
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Medicine & Pharmacology Social Sciences Other

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The Impact of Chatbots on Reducing Anxiety in English Language Classrooms: Insights from Yogyakarta Students Khalik, Muhammad Fathur Rahman; Astuti, Sri
Jurnal Pedagogy Vol 13 No 2 (2025): Pedagogy: Journal of English Language Teaching
Publisher : Institut Agama Islam Negeri (IAIN) Metro, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/joelt.v13i2.11219

Abstract

Foreign language anxiety remains a persistent affective barrier that can hinder students’ engagement and performance in English language classrooms. With the increasing integration of artificial intelligence in education, chatbots have emerged as potential pedagogical tools that can provide low-stakes interaction and emotional support. However, empirical evidence on their effectiveness in reducing anxiety in EFL contexts is still limited. This study investigates the efficacy of a chatbot in reducing anxiety levels among students in an English language classroom. Adopting a mixed-methods design, the study involved 30 undergraduate students over a 16-week semester. Quantitative data were collected using pre- and post-tests based on an adapted version of the Foreign Language Classroom Anxiety Scale (FLCAS). A paired-samples t-test was conducted to measure changes in anxiety levels, while a one-way ANOVA examined differences based on chatbot usage frequency. To complement the quantitative findings, semi-structured interviews were conducted with six participants and were analyzed thematically. A paired-samples t-test revealed a significant reduction in anxiety levels following the integration of the chatbot into classroom activities (p < .001). Although a one-way ANOVA showed no significant difference in anxiety reduction across varying levels of chatbot usage frequency (F(2,27) = 0.303, p = .741), students' qualitative responses highlighted the chatbot’s value in lowering anxiety. Three themes emerged from the interviews, including reduced pressure due to quick responses, enhanced confidence through answer validation, and emotional comfort gained from the chatbot’s presence. These findings suggest that chatbots can contribute to a more supportive language learning environment, particularly in addressing anxiety issues in foreign language classrooms.
SISTEM PENGUKURAN KADAR AIR PADA BIJI KAKAO BERBASIS INTERNET OF THINGS Asqalani, Muh. Al-Hijr; Qashlim, Akhmad; Astuti, Sri
JURNAL ILMU KOMPUTER Vol 11 No 2 (2025): Edisi September
Publisher : LPPM Universitas Al Asyariah Mandar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35329/jiik.v11i2.361

Abstract

Pertanian modern saat ini mulai mengadopsi teknologi untuk meningkatkan kualitas dan efisiensi produksi, salah satunya dalam pengolahan biji kakao yang sangat dipengaruhi oleh kadar air. Masalah utama yang dihadapi petani adalah kesulitan dalam mengetahui tingkat kadar air pada biji kakao secara akurat, yang berdampak pada kualitas dan harga jual produk. Penelitian ini menggunakan metode VDI 2206 dalam merancang sistem pengukuran kadar air berbasis Internet of Things (IoT) dengan memanfaatkan mikrokontroler ESP8266, sensor Soil Moisture, dan sensor DHT11. Solusi yang ditawarkan adalah sistem otomatis yang dapat menampilkan kadar air secara real-time melalui LCD OLED dan website monitoring sehingga petani dapat memantau kelembaban tanpa metode manual. Hasil penelitian memperlihatkan bahwa sistem dapat berfungsi dengan baik dalam tiga kondisi pengujian (tanah kering, tanah basah, dan biji kakao) dan memberikan informasi yang akurat serta mudah diakses oleh pengguna.
Tren Kepatuhan Pelaku Usaha Bidang Kosmetik di Indonesia Astuti, Sri; Wikara, Tina; Nurhayati, Sri; Sari, Evi Ratna; Carolina, Rotua Uli; Rahmita, Galuh Zhafirah
JFIOnline | Print ISSN 1412-1107 | e-ISSN 2355-696X Vol 18 No 2 (2026): Jurnal Farmasi Indonesia
Publisher : Pengurus Pusat Ikatan Apoteker Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35617/jfionline.v18i2.741

Abstract

Compliance of business actors with regulations and standards such as the Good Manufacturing Practice (GMP) and regulations on the distribution, advertising and labelling of cosmetics is a crucial aspect in ensuring the safety and quality of cosmetic products to protect public health. This study aimed to assess the level of compliance of cosmetics business actors with regulations and standards in Indonesia. This quantitative study analyzed secondary data from the Indonesian FDA (BPOM)’s risk-based supervision of production and distribution facilities, advertising, and labelling across 34 provinces from 2019–2023. Each year, 4270–7,054 facilities were inspected and classified as compliant or non-compliant, and compliance proportions were calculated. The results were weighted using the Analytical Hierarchy Process (AHP) to produce a compliance index categorized into four levels: excellent (90.01–100), good (66.67–90), fair (33.34–66.66), and poor (0–33.33). The results of the analysis showed that the compliance index of cosmetics businesses for five years ranged from 71.62 to 83.79 and was classified as good: 82.79 (2019), 80.96 (2020), 75.41 (2021), 71.62 (2022), and 83.79 (2023). The index trend showed a fluctuating pattern from year to year, with the highest value recorded in 2023.
PENERAPAN TEKNOLOGI PENYIRAM TANAMAN BERBASIS IoT DENGAN SENSOR pH DAN PPM DILENGKAPI DENGAN GOOGLE ASSISTANT UNTUK PETANI DESA BEBENGAN KABUPATEN KENDAL: PENERAPAN TEKNOLOGI PENYIRAM TANAMAN BERBASIS IoT DENGAN SENSOR pH DAN PPM DILENGKAPI DENGAN GOOGLE ASSISTANT UNTUK PETANI DESA BEBENGAN KABUPATEN KENDAL Sayekti, Ilham; Dadi; Yesitasari, Devi; Faizah; Prabowo, M. Cahyo Ardi; Nursaputro, Septiantar Tebe; Valina, Sheilla Nadia; Sihono; Astuti, Sri; Supriyati; Pramuji, Tulus; Sulistiyo, Wahyu
Bangun Rekaprima Vol. 12 No. 1 (2026): April 2026
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/bangunrekaprima.v12i1.7622

Abstract

Vegetable farmers in Bebengan Village, Kendal Regency, still mostly water their crops manually, resulting in inefficient water usage and inconsistent watering timing. Additionally, the water quality for irrigation has not been monitored regularly, even though pH and PPM parameters affect nutrient availability and plant growth. This service activity aims to implement an Internet of Things (IoT)-based automatic plant watering technology that can monitor pH and PPM and provide easy control through Google Assistant. The implementation methods include observing partner needs, designing and assembling an Arduino ATmega 2560 and ESP8266-based system with pH and PPM sensors, installing it on a 200 m² cultivation area, integrating remote monitoring and control, and training farmers on operating and maintaining the equipment. Implementing the system allows for more scheduled/controlled watering and provides real-time pH and PPM information as a basis for decision-making. In conclusion, the implementation of this IoT system improves the effectiveness of the watering process, supports water quality monitoring, and simplifies operations through voice-based control, thus potentially increasing cultivation efficiency at the farmer level.
Analysis of the Impact of AI-Based Accounting Tools on the Accuracy of Financial Reporting for SMEs in Bandar Lampung Astuti, Sri; PW, Lihan Rini; Sidik, M.Muhayin A; Irawan, Irawan
Studi Akuntansi, Keuangan, dan Manajemen Vol 5 No 3 (2026): January
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/sakman.v5i3.5656

Abstract

Purpose: This study aims to analyze the influence of AI-Based Accounting Tools on the accuracy of financial statements among Micro, Small, and Medium Enterprises (MSMEs) in Bandar Lampung, Indonesia. Methodology/approach: This research adopts a quantitative approach using Structural Equation Modeling (SEM-PLS) with SmartPLS 4.0. The sample consists of 206 MSMEs that have adopted at least one AI-based accounting system such as Jurnal.id, Accurate, or QuickBooks. Results/findings: The findings indicate that digital literacy and the level of technological adoption have a positive and significant effect on the effective use of AI-Based Accounting Tools, which in turn enhances the accuracy of financial reporting. Conclusions: Meanwhile, implementation challenges, such as infrastructure and cost limitations, hinder adoption. This study provides strategic implications for policymakers and technology developers to accelerate digital transformation among MSMEs. Limitations: Data from the Ministry of Cooperatives and SMEs (2023) shows that more than 70% of MSMEs in Indonesia do not yet have systematically prepared financial statements. This condition is caused by limited accounting literacy, human resources, and the low adoption of digital technology. Contribution: This study is expected to provide both theoretical and practical contributions to the development of digital accounting literature, as well as offer recommendations for local governments and technology providers to strengthen the digital transformation ecosystem of MSMEs in Indonesia.
Co-Authors Akhmad Qashlim, Akhmad Asqalani, Muh. Al-Hijr Carolina, Rotua Uli Dadi Faizah Ilham Sayekti Irawan Irawan Khalik, Muhammad Fathur Rahman Nursaputro, Septiantar Tebe Prabowo, M. Cahyo Ardi Pramuji, Tulus PW, Lihan Rini Rahmita, Galuh Zhafirah Sari, Evi Ratna Sidik, M.Muhayin A Sihono Sri Nurhayati Supriyati Valina, Sheilla Nadia Wahyu Sulistiyo Wikara, Tina Yesitasari, Devi