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Pengaruh Kecerdasan Buatan dan Media Sosial terhadap Prestasi Akademik dan Kesejahteraan Mental Mahasiswa Rosidah; Musaytir Husain; Desi Arianti; Nurrahmah Agusnaya; Syukur, Pramudya Asoka; Putri Nirmala
Jurnal MediaTIK Volume 8 Issue 2, Mei (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi kecerdasan buatan (AI) dan media sosial telah memberikan dampak signifikan pada pendidikan tinggi, khususnya terhadap prestasi akademik dan kesejahteraan mental mahasiswa. Penelitian ini bertujuan untuk mengeksplorasi persepsi mahasiswa terhadap penggunaan AI dan media sosial dalam mendukung proses pembelajaran dan kesejahteraan mental mereka. Metode penelitian yang digunakan adalah kuantitatif dengan desain cross-sectional, melibatkan 86 mahasiswa dari berbagai universitas di Indonesia melalui teknik purposive sampling. Data dikumpulkan menggunakan kuesioner daring dan dianalisis secara deskriptif menggunakan SPSS. Hasil penelitian menunjukkan bahwa penggunaan AI memperoleh skor rata-rata tertinggi dibandingkan media sosial, pembelajaran cerdas, prestasi akademik, dan kesejahteraan mental, namun dengan variasi antar responden yang cukup besar. Meskipun AI dan media sosial berpotensi mendukung pembelajaran, penerapannya masih belum optimal dalam meningkatkan prestasi akademik dan kesejahteraan mental mahasiswa secara signifikan. Temuan ini memberikan wawasan mengenai persepsi mahasiswa terhadap teknologi dalam pendidikan, serta menekankan perlunya penelitian lanjutan dengan sampel yang lebih besar dan metode yang lebih mendalam
Principal leadership as a moderator: Enhancing the impact of work environment and motivation on teacher performance Pradika, Rizka Ardhi; Rosidah; Perez, Liann Camille Davalos
Jurnal Kependidikan: Penelitian Inovasi Pembelajaran Vol 9, No 1 (2025)
Publisher : Directorate of Research and Community ServiceUniversitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jk.v9i1.84409

Abstract

This study aims to examine the effect of principal leadership as a moderating variable in the relationship between work environment, teacher's motivation, and teacher performance in Economics at high schools in Yogyakarta City. The method used is a quantitative approach with data analysis employing Structural Equation Modeling (SEM) through SmartPLS 4. The subjects of the study consist of 54 Economics teachers selected using purposive sampling. The instrument used is a structured questionnaire measuring four main constructs: teacher performance, principal leadership, work environment, and teacher's motivation. Data were collected from February to November 2024. Data analysis was conducted using SEM with the Partial Least Squares (PLS) approach. The results show that work environment and teacher's motivation positively affect teacher performance, with principal leadership acting as a moderator, although the moderating effect was not statistically significant at the 95% confidence level on some variables. These findings emphasize the importance of a supportive work environment, high teacher's motivation, and effective leadership in improving teacher performance.
Understanding Pre-Service Math Teachers’ Use of GeoGebra: The Role of Confidence, Social Pressure, and TPACK Rosidah; M. Miftach Fakhri; Zul Jalali Wal Ikram; Fitria Arifiyanti; Guillermo Bautista
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.8341

Abstract

This study investigates the determinants of pre-service mathematics teachers’ continuous intention to use GeoGebra by integrating key constructs from educational technology acceptance and pedagogical knowledge frameworks. Employing a quantitative correlational design, data were obtained from 209 pre-service teachers through a validated questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research examined the direct effects of Self-Confidence in Mathematics (SCM), Facilitating Conditions (FC), Perceived Social Pressure (PSP), and Technological Pedagogical Content Knowledge (TPACK) on Continuous Intention to Use GeoGebra (CIUG). The results revealed that SCM, PSP, and TPACK significantly influence CIUG, whereas FC did not show a significant effect. These findings underscore the importance of psychological and pedagogical readiness over infrastructural support in predicting sustained technology use. The study contributes to the literature by providing empirical evidence on the integration of internal and external factors within a unified model and suggests that teacher education programs should focus on enhancing self-efficacy, social engagement, and TPACK to support technology integration. Future research is encouraged to explore contextual and longitudinal aspects to expand the applicability of these findings across diverse educational settings.
Integrating Technology with Academic Success by Evaluating ChatGPT’s Quality Compatibility and Impact on Student Performance Irwansyah Suwahyu; Yohana Rara; Nur Syafitra Ramadhani; Rosidah; Putri Nirmala; Nurrahmah Agusnaya; Syukur, Pramudya Asoka
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.8532

Abstract

The use of artificial intelligence (AI) technology in higher education has become an important element to improve students' academic performance. ChatGPT, as one of the generative AI applications, offers speed, ease of use, and relevant responses to support students' learning activities. This study aims to analyze the relationship between overall technology quality, technology characteristics, technology task suitability, compatibility, and performance impact in using ChatGPT on students' academic performance. This study used a quantitative approach with a cross-sectional design and purposive sampling technique involving 182 active student respondents using ChatGPT. Data were collected through an online questionnaire using a 5-point Likert scale covering five main variables. The results of descriptive analysis show a mean value that illustrates that students generally have a positive perception of the use of ChatGPT in supporting their academic activities. These findings suggest that ChatGPT has great potential in improving student productivity and comprehension, although service quality, task suitability, and function compatibility need to be continuously improved to better suit academic needs. Thus, the implementation of ChatGPT in higher education needs to be planned adaptively and ethically in order to optimally support students' learning success in the digital era
Bioremediation of Phenolic Pollutants by Fungi: A Perspective Melati, Irma; Miratul Maghfiroh; Nurul Setiadewi; Riky Kurniawan; Annisa Indah Pratiwi; Rosidah
LIMNOTEK Perairan Darat Tropis di Indonesia Vol. 31 No. 1 (2025)
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/limnotek.2025.8074

Abstract

Phenol is a priority pollutant that poses a significant risk to human health and ecological systems when released into aquatic environments. Consequently, numerous technologies have been developed and implemented to remove phenol from wastewater. These technologies can be classified into physical, chemical, and biological techniques. While conventional treatment methods can effectively remove phenol, some are more economical and less environmentally beneficial. This overview, which is based on a collation of relevant and comprehensive literatures, emphasizes various phenolic pollutants in wastewater and how mycoremediation can be implemented to address these issues. Mycoremediation research has been chiefly directed on investigating the effects of various conditions on phenol degradation and evaluating its effectiveness under controlled experiments. Moreover, mycoremediation enables a doable solution for mitigating pollution, improving water quality, and supporting biodiversity in aquatic ecosystems. These also mean that advancing mycoremediation encourages environmentally sustainable practice. However, the remaining gaps exist in current research including the toxicity assessment of degradation by-products, the application of synthetic biology methods for chassis modification, creation and development of innovative immobilization methods, improvement of remediation efficiency by integration of multiple technologies and scalability of mycoremediation for practical wastewater treatments. These areas warrant further research to advance the greater potential of mycoremediation.
Transforming Inclusive Entrepreneurship Through Economic AI Literacy and Infographics: An Empowerment Program Fakhri, M. Miftach; Andika Isma; Putri Nirmala; Nurrahmah Agusnaya; Rosidah
Mattawang: Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang3986

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Limited access to inclusive entrepreneurial literacy, especially in areas with minimal access to education and economic resources, is a major concern. This research aims to improve teachers' competencies in using modern technologies, such as economic AI literacy, data visualization, and augmented reality, in teaching. The research method used an Action Research approach that involved three main stages, namely the preparation, implementation, and reporting stages. The results of the pre-test and post-test data showed significant improvement in the teachers' understanding and application of technology. This study concludes that the integration of economic AI and infographics is able to improve teachers' pedagogical competence in supporting inclusive entrepreneurship. However, additional time and special training are needed to optimize the application of technology in daily learning activities.
Strengthening the Innovation Capacity of Student PKM Proposals through an AI-Generative-Based Co-Creation Learning Model with a Classroom Action Research Approach Nurrahmah Agusnaya; Putri Nirmala; Fakhri, M. Miftach; Wahyu Hidayat M; Rosidah
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Volume 2 Issue 3 April 2025: Jurnal Sipakatau
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v2i3.2514

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The low quality of student innovation in preparing Student Creativity Program (PKM) proposals remains a challenge in higher education, caused by limited research experience, weak team collaboration, and low utilization of Artificial Intelligence (AI) technology. This study aims to describe the implementation of an AI-based Co-Creation Learning model in improving students' abilities to prepare PKM proposals. This research used the Classroom Action Research (CAR) method, which was conducted in two cycles: the first cycle applied the Project-Based Learning (PjBL) model, and the second cycle applied the AI-based Co-Creation Learning model. The results showed an increase in the students’ average scores from 86.1 in the first cycle to 88.4 in the second cycle, with a decrease in the standard deviation from 2.32 to 1.37. Inferential analysis using a paired samples t-test revealed a t-value of -9.25 with p < 0.001 and an effect size (Cohen’s d) of -1.46, indicating a statistically significant improvement in learning outcomes. This model effectively supports collaboration, creativity, and students' skills in developing more relevant PKM proposals. Thus, the implementation of the AI-based Co-Creation Learning model is effective in enhancing students’ innovation capacity and supports the Merdeka Belajar Kampus Merdeka policy in strengthening excellent human resources in the digital era.
EFEKTIVITAS JAMU BERAS KENCUR TERHADAP PENGURANGAN AFTERPAIN PADA IBU POST PARTUM DI PUSKESMAS TINGGI RAJA Devina; Nurmasitoh; Affan Solihin; Rosidah
Jurnal Penelitian Keperawatan Kontemporer Vol 5 No 4 (2025): Juli 2025
Publisher : Program Studi S1 Ilmu Keperawatan dan Ners IKBIS Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59894/jpkk.v5i4.1032

Abstract

Latar Belakang: Peurperium atau nifas juga dapat diartikan sebagai masa postpartum atau masa sejak bayi dilahirkan dan plasenta keluar lepas dari rahim sampai 6 minggu berikutnya disertai pulihnya organ-organ yang berkaitan dengan kandungan yang mengalami perubahan seperti perlukaan dan lain sebagainya yang berkaitan saat melahirkan. (Juraida, 2021). Penelitian dilaksanakan bertujuan untuk mengetahui efektifitas jamu beras kencur terhadap Pengurangan afterpain ibu post partum di Puskesmas Tinggi Raja. Jenis penelitian ini adalah one group pre and posttes design without control. Subjek penelitian ini berjumlah 38 orang ibu post partum. Instrumen penelitian berupa jamu beras kencur dan pre test dan post tes. Teknik analisa yang digunakan adalah uji Chi Square yang diselesaikan program SPSS. Hasil penelitian menunjukan terdapat Efektivitas Jamu Beras Kencur Terhadap Pengurangan Afterpain Pada Ibu Post Partum Di Pusksmas Tinggi Raja Tahun 2024. Hasil analisa data diketahui bahwa pada kelompok intervensi terdapat Pengurangan afterpain ibu post partum dengan rata rata sebelum diberikan intervensi yaitu 3.81 dan sesudah diberikan jamu beras kencur diperoleh rata rata yaitu 2.31 pada ibu, dengan nilai asymp. Sig 0,000 (< 0,05). Merujuk dari hasil analisa data dan temuan penelitian maka dapat disimpulkan bahwa kelompok intervensi susudah diberikan jamu beras kencur berpengaruh terhadap Pengurangan afterpain ibu pasca nifas.
Pemanfaatan Limbah Kulit Singkong menjadi Produk Pangan Bernilai Ekonomi melalui Pelatihan di Desa Durajaya Rina Ari Pratiwi; Fika Alimna; Esa Negarawati; Nurhalimah Ramadhani; Rita Hernawati; Tasya Alifia; Ayu Afika; Nabila Janan; Agus Rahmanto; Aldi Musthofainal Ahyar; Fadiyah Putri Nur Habibah; Rosidah; Alifa; Corry Vidiati
Jurnal Pengabdian Masyarakat Indonesia (JPMI) Vol. 2 No. 6 (2025): Agustus
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jpmi.v2i6.5705

Abstract

Limbah kulit singkong menjadi salah satu limbah rumah tangga yang sangat mudah di temukan di kalangan masyarakat, banyak yang tidak mengetahui manfaat dari limbah kulit singkong secara optimal di daerah desa, padahal kulit singkong ini bisa dijadikan salah satu cemilan yang sangat gurih dan nikmat, tidak hanya itu limbah kulit singkong ini juga bisa dimanfaatkan sebagai pupuk dan ekoenzim bagi tumbuhan. Limbah kulit pisang ini memiliki potensi untuk diolah menjadi ide jual yang kreatif dan bernilai ekonomis salah satunya stik kulit singkong, dengan adanya pelatihan ini di harapkan dapat menambah ketrampilan, pengalaman, dan kreativitas bagi masyarakat sekitar. Apalagi olahan produk dari limbah kulit singkong ini dapat menciptakan ekonomi keberlanjutan dan produk yang ramah lingkungan. Dengan adanya pemanfaatan dari limbah kulit singkong yang menjadi salah satu olahan produk pangan berupa stik dapat meningkatkan kesadaran masyarakat dan meningkatkan penghasilan di desa tersebut. Apalagi berpotensi dan berpeluang menjadi ide jual yang kreatif dan ramah lingkungan.
Peran Market Orietation Dan Brand Innovation Terhadap Competitive Advantage Pada Dealer Jd Toyota Jababeka ( PT. Mulia Mega Makmur) Rasyid, Aliy; Yanto Lesmana; Rosidah
Al-Zayn: Jurnal Ilmu Sosial, Hukum & Politik Vol 3 No 4 (2025): 2025
Publisher : Yayasan pendidikan dzurriyatul Quran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61104/alz.v3i4.1760

Abstract

Perkembangan teknologi dan industri global memberikan dampak signifikan terhadap sektor otomotif, khususnya dalam hal inovasi produk, strategi pemasaran, dan perilaku konsumen. Digitalisasi manufaktur, otomatisasi proses, dan penerapan teknologi berbasis Internet of Things (IoT) mendorong perusahaan untuk meningkatkan daya saing melalui pembaruan produk dan layanan. Penelitian ini bertujuan untuk menganalisis pengaruh market orientation dan brand innovation terhadap competitive advantage pada Dealer JD Toyota Jababeka (PT. Mulia Mega Makmur). Pendekatan kuantitatif digunakan dengan pengumpulan data primer melalui kuesioner terhadap 100 responden, yang merupakan konsumen aktif pada tahun 2024, serta analisis data dilakukan menggunakan metode Partial Least Square (PLS) melalui perangkat lunak SmartPLS 4. Hasil penelitian menunjukkan bahwa market orientation dan brand innovation berpengaruh positif dan signifikan terhadap competitive advantage, di mana orientasi pasar yang efektif meningkatkan pemahaman kebutuhan konsumen, sementara inovasi merek memperkuat citra dan loyalitas pelanggan. Temuan ini memberikan implikasi penting bagi perusahaan otomotif untuk mengintegrasikan strategi pemasaran berbasis konsumen dengan pengembangan produk inovatif agar mampu bersaing dalam industri otomotif yang semakin kompetitif dan dinamis.
Co-Authors Abdul Rahman Aditama Agustian Affan Solihin Agus Rahmanto Agus Waluyo Ahmad Talib Ainun, Rezki Awalia Akhmad Affandi Akis, Dwi Ihza Sari Akmal Hidayat Aldi Musthofainal Ahyar Aldiano Rahmadya Alifa Alimuddin Amiruddin Anaguna, Nursyam Andi Baso Kaswar Andi Baso Kaswar Andi Dio Nurul Awalia Andi Rhyta Samantha Valda Andika Isma Andina Ainayah Naim Annajmi Rauf Annesya Atma Battya Annisa Indah Pratiwi Aprisal Arieb Shintami, Rica Arsyad, Meisaraswaty Asham Bin Jamaluddin Asis Nojeng asmaun, asmaun Asri Ismail Asriwan Ayu Afika Corry Vidiati Dary Mochamad Rifqie Della Fadhilatunisa Denalis Rohaningsih Desi Arianti Devi Miftahul Jannah Devina Dewi Fatmarani Surianto Elma Nurjannah Erlisya Puspandhani, Mitha Esa Negarawati Fadhil Zil Ikram Fadiyah Putri Nur Habibah Fajar Arwadi Farihah, Nailil Fika Alimna FItria Arifiyanti Guillermo Bautista Hamda Hanifah Nurus Sopiany Hardiansyah Hisyam Ihsan Ilham Minggi Indah Sari Irwan Irwansyah Suwahyu Israwati Hamsar Kunnati M. Miftach Fakhri Mahatma Kresnha Radityo Margareta Rahayuningsih Mazidan, A.M Yusran Melati, Irma Miratul Maghfiroh Muh Galang Nusantara Muhalim Muhammad Arafah Alif Muhammad Dwi Andika Muhammad Fajar B Muhammad Fajar B Muhammad Fardan Muhammad Fikri Aqil Muhammad Takwin Machmud Musaytir Husain Nabila Janan Nasrullah Nia Asdina Norma Rizki Silviana Novitasari, Anik Eko Nur Fadhylah As Nur Ilmi Nur Rahayu Utami Nur Rahmah Sari Nur Syafitra Ramadhani Nurhalimah Ramadhani Nurjannah Nurmasitoh Nurrahmah Agusnaya Nursyam Anaguna Nursyam Anaguna Nurul Setiadewi Nurwati Djam’an Nuryani, Yuni Ocsirendi Olivia, Alya Parida Marjuliana Perez, Liann Camille Davalos Pradika, Rizka Ardhi Pratama, Muh Idul Akbar Putri Fariza Putri Nirmala Rafiqah Ameliah Kasim Rasyid, Aliy Relita Novianti Riky Kurniawan Rina Ari Pratiwi Rismayanti rita apriliani Rita Hernawati Rizky Aulia Roffi Grandiosa Roffi Grandiosa Herman Sabri Setialaksana, Wirawan - Shera Afidatunisa Silvia Syavira Siti Aisyah Siti Fatimah Azzahra Namar SITI KHODIJAH Siti Nurmar Laela Sofyan, Vina Annisa Sri Mulyani Sri Yuyun Sudarmanto Jayanegara Sugiarti Surojo SUWARTI Syafirah Audiwinanda Syukur, Pramudya Asoka Talib, Dr. Ahmad Tasya Alifia Usman Mulbar Wahyu Hidayat M WAHYUDI Wahyuniar Pamungkas Walim Lili Widyawati Yanto Lesmana Yohana Rara Yuanita B Yudhi Alfian Zul Jalali Wal Ikram