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All Journal International Journal of Evaluation and Research in Education (IJERE) Indonesian Journal of Electronics and Instrumentation Systems Biospecies Journal of Education and Learning (EduLearn) Journal of Educational Science and Technology JPS Unimus Al Ishlah Jurnal Pendidikan JIPF (Jurnal Ilmu Pendidikan Fisika) CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Pendidikan : Riset dan Konseptual Journal Of Nursing Practice SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Surya Masyarakat Jurnal Ilmu Perilaku JSAI (Journal Scientific and Applied Informatics) Dedikasi: Jurnal Pengabdian Masyarakat ScienceEdu : Jurnal Pendidikan IPA Optika : Jurnal Pendidikan Fisika Jurnal Surya Masyarakat Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Pasundan International of Community Services Journal (PICS-J) Jurnal Dialektika Informatika (Detika) Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Jurnal J-PEMAS Jurnal Panjar: Pengabdian Bidang Pembelajaran Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Education and Teaching Zone JURNAL TEKNIK INDUSTRI Physics and Science Education Journal (PSEJ) Jurnal ilmiah teknologi informasi Asia Jurnal Penelitian Pendidikan Fisika Edumaspul: Jurnal Pendidikan
Wawan Kurniawan
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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The Website Development of a Teacher Tools Assistance System Integrated of Project Based Learning Model Wawan Kurniawan; Febri Berthalita Pujaningsih; Abdussalam Aswin Hadist
Jurnal Penelitian Pendidikan IPA Vol 11 No 2 (2025): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i2.9577

Abstract

The study, conducted in response to the shortcomings of the digital learning system in facilitating the Physics learning process with the project based learning model. So the purpose of this study is to develop a Teacher Tools Assistance System  website as an answer to this problem. This study adopts the RnD method with the ADDIE model development framework focused on three stages, namely analysis, design, and development. The analysis stage examines the curriculum and learning environment. At the design stage, a prototype of the Teacher Tools Assistance System website is produced which is then tested at the development stage. The development stage is carried out with various tests, namely the Black-Box test, installation/launch, validation by media experts and material experts, and user responses involving 58 students of SMAN 3 Kota Jambi class XI. As a result, in the Black Box test, the website functionality achieved 100% on the teacher's page and 96% on the student's page. In the media expert validation, the score given was 4.44, which was categorized as very feasible. While the validation by material experts 1 and 2 rated it 4.50 and 4.47, categorizing it as very feasible category. In addition, the response from users gave a score of 4.20 in the category of worthy of the product. However, there are still shortcomings including the appearance of the website, website navigation that is not yet user friendly, and the emergence of bugs.
Evaluasi Sistem Pemesanan Jasa Make Up Artist Menggunakan Metode Rapid Application Development dan PIECES Jhon Cavlin Jovin; Wawan Kurniawan
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9889

Abstract

This study aims to evaluate a Make Up Artist service booking system using the Rapid Application Development (RAD) method with PIECES evaluation. The evaluation was conducted using a pre-test and post-test approach to compare system conditions before and after implementation. The PIECES method was applied to measure system quality based on six dimensions: performance, information, economy, control, efficiency, and service. The results indicate that the average system quality score increased from 54% before implementation to 84% after implementation, showing an improvement of 30%. These findings demonstrate that the implemented system significantly improves service quality, operational efficiency, and customer satisfaction. Therefore, the combination of RAD and PIECES evaluation is effective in enhancing the quality of Make Up Artist service booking systems.
Life Cycle Assessment to Improve the Sustainability of Cylinder Head Component Production Process at PT XYZ Yanti, Anti Novi Yanti; Kurniawan, Wawan Kurniawan; Marie, Iveline Anne Marie
JURNAL TEKNIK INDUSTRI Vol. 16 No. 1 (2026): March 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v16i1.21091

Abstract

The automotive industry is a significant contributor to environmental concerns. The automotive industry is also under increasing pressure to move towards sustainability due to its role in generating emissions and high energy consumption. As a result, it has an impact on environmental aspects such as air pollution, water pollution or other pollution obtained from industrial activities, which can be minimized so that it cannot become an environmental burden. To help analyze the environmental impact of the cylinder head manufacturing process, a Life Cycle Assessment is required. To support the company's sustainability, a sustainable index value is calculated based on three pillars: economic, environmental, and social. This research focuses on the casting, machining and assy engine processes. The primary objective is to identify the processes with the most significant environmental impact, thereby calculating the company's sustainable index value. This research employs the Life Cycle Assessment method, utilizing SimaPro software, to calculate the impact of the production process and determine the sustainable index (SI) based on the acquired impact value. The method used is EDIP 2003, with the impact categories analyzed, namely Human Toxicity Water, Aquatic Eutrophication EP, Adification, Ecotoxicity water. Based on the results obtained, the most significant impact among the four other impacts is Aquatic Euthropication with the most significant contribution to eletricity with a total value of 0.38938 GPt in the engine assy process. Based on the results obtained, alternative improvements can be suggested, such as the use of solar energy (solar panel system) and the utilization of carbon capture and storage technology, as well as other proposed improvement scenarios. With the implementation of the proposed scenario, the overall sustainable index value increases to 53.81% from 57.47% previously.
Deep Breathing Relaxation Techniques to Lowering Systolic Blood Pressure in the Elderly: Randomized Control Trial Novian Mahayu Adiutama; Hera Hijriani; Wawan Kurniawan; Wardah Fauziah; Chiou - Feng Lin
Journal Of Nursing Practice Vol. 5 No. 2 (2022): April
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/jnp.v5i2.213

Abstract

Background: Continuous high blood pressure causes the heart to work extra hard, eventually this condition results in damage to the blood vessels of the heart, kidneys, brain, and eyes. Hypertension management is recommended to minimize pharmacological therapy with the aim of avoiding side effects. Non-pharmacological efforts that can be done in patients with hypertension are by controlling various aspects such as deep breathing techniques. Purpose: This study aims to determine the effect of deep breathing relaxation techniques to reducing blood pressure in the elderly with hypertension. Quasy-experiment pre-post-test with control group was conducted on 108 elderlies with hypertension at a Puskesmas located in Subang with simple random sampling technique. Methods: This study was conducted by providing deep breathing techniques to the elderly in the treatment group for 3 months. The statistical test used was the independent t test and chi-square. Results: The deep breathing relaxation technique given at a dose of 15 minutes 3 times a day for 3 months has been shown to have an effect on reducing blood pressure in the elderly. Conclusion: Future research can conduct research on deep breathing by paying more attention to confounding variables such as stress, anxiety, and diet.
Comparison of Random Forest and K-Nearest Neighbors in Heart Disease Prediction Erni; Alfarobi, Ibnu; Wawan Kurniawan
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1942

Abstract

Heart disease is one of the leading causes of death worldwide, with a death toll reaching 17.9 million cases annually according to the World Health Organization (WHO) and a prevalence of 1.5% in Indonesia. This high mortality rate demonstrates the importance of early detection and accurate prediction to prevent more serious complications. The development of artificial intelligence technology, particularly machine learning, offers a new approach in the medical field through the ability to analyze clinical data quickly and efficiently. This study was conducted to compare the performance of two machine learning algorithms, namely Random Forest and K-Nearest Neighbors (KNN), in predicting heart disease using a clinical dataset from Kaggle containing 20 samples and 9 attributes related to the patient's physiological condition. The parameter optimization process in both algorithms was carried out using grid search techniques with cross-validation to obtain the best model that can perform optimally on a limited dataset. Performance evaluation was carried out using accuracy, recall, and precision metrics to comprehensively measure the quality of the model predictions. The results of the study showed that the Random Forest algorithm provided superior performance with an accuracy of 0.75, a recall of 0.88, and a precision of 0.86, compared to KNN which only achieved an accuracy of 0.50, a recall of 0.67, and a precision of 0.67. These findings indicate that Random Forest is more effective in identifying the presence of heart disease, especially in terms of sensitivity to positive cases and prediction consistency. Thus, Random Forest has the potential to be a more appropriate algorithm for implementation in machine learning-based clinical decision support systems, to support the process of diagnosing heart disease more accurately and efficiently.
Fear and Obedience: Mengungkap Kekerasan Seksual Terhadap Istri melalui Photovoice Muhammad Reza Firmansyah; Melinda The; Wawan Kurniawan
Jurnal Ilmu Perilaku Vol. 9 No. 1 (2025): Jurnal Ilmu Perilaku
Publisher : Universitas Andalas

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

Abstract

Despite three years of implementing the Law on Sexual Violence Crimes (UU TPKS) in Indonesia, the number of sexual violence cases remains high, leading this study to focus on wives experiencing domestic sexual violence who choose not to pursue legal action. Employing the empowering photovoice method, which allows participants to share their experiences through photos and narratives, this research reveals the types of sexual violence experienced and their reasons for remaining in abusive relationships. The findings reveal four categories of sexual violence: physical/non-physical sexual harassment, sexual torture, and marital rape. Wives choose to stay due to fears concerning their children's future and the belief in the "obedient wife" ideal. This study highlights the prevalence of domestic sexual violence despite the enactment of the UU TPKS.
Pemanfaatan AI dalam Pengembangan Media Visual dan Materi Pembelajaran Interaktif di MAN 1 Sarolangun Jeliana Veronika Sirait; Haerul Pathoni; Tugiyo Aminoto; Menza Hendri; Dian Pertiwi Rasmi; Wawan Kurniawan; Lousiana Muliawati
Jurnal Abdimas Indonesia Vol. 5 No. 4 (2025)
Publisher : Perkumpulan Dosen Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34697/jai.v5i4.2165

Abstract

Perkembangan teknologi digital telah mendorong perlunya inovasi pembelajaran yang mampu meningkatkan keterampilan guru dalam menciptakan media visual dan materi interaktif yang menarik bagi siswa. Kegiatan pengabdian ini bertujuan untuk meningkatkan kompetensi guru dalam memanfaatkan teknologi kecerdasan buatan untuk mendukung pembelajaran di kelas. Metode pelaksanaan kegiatan dilakukan di MAN 1 Sarolangun dengan melibatkan 15 guru sebagai peserta. Kegiatan dilaksanakan melalui beberapa tahap, yaitu persiapan, pelaksanaan yang terdiri dari penyuluhan mengenai konsep dasar dan urgensi pemanfaatan teknologi digital, pelatihan berbasis praktik dalam menggunakan aplikasi berbasis kecerdasan buatan, pendampingan intensif untuk menghasilkan produk pembelajaran, serta tahap evaluasi melalui angket kepuasan. Hasil kegiatan menunjukkan peningkatan keterampilan guru yang signifikan. Respon peserta terhadap kegiatan juga sangat positif, dengan nilai rata-rata angket berkisar antara 4,67 - 4,93 dari skala 5 pada aspek relevansi, manfaat, pemahaman media, motivasi, dan kepuasan. Guru menyatakan bahwa pelatihan ini membantu mereka memahami penggunaan teknologi modern dan meningkatkan motivasi untuk berinovasi. Berdasarkan hal tersebut disimpulkan bahwa kegiatan ini pengabdian masyarakat dapat menjadi pendekatan baru yang efektif untuk meningkatkan keterampilan guru dan memperkuat keterlibatan guru dalam menciptakan pembelajaran inovatif yang sesuai dengan karakteristik generasi digital.
Analysis of Students Needs for Website-Based Computational Physics Teaching Materials on Linear and Nonlinear Equations Wawan Kurniawan; Alrizal; M. Furqon; Yunita
Jurnal Penelitian Pendidikan IPA Vol 9 No 12 (2023): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i12.5600

Abstract

This study aims to analyze student needs for teaching materials needed in Computational Physics courses. This research is an quantitative research. The research subjects were physics education students in the 2021 batch of Jambi University who had contracted a computational physics course. The sample consisted of 25 students taken randomly. The research data were obtained from the results of the initial observation questionnaire and the desired teaching material needs analysis questionnaire. From the initial observation questionnaire, it can be concluded that 55.2% of students do not agree if they only use books as teaching materials, so it is necessary to develop teaching materials that are more practical and easy to understand. Based on the needs analysis of the development of teaching materials shows that 85.6% of students strongly agree if a teaching material is developed in the form of website development as teaching material for computational physics course supporters on linear and non-linear equations material.
PENGEMBANGAN MODUL PEMBELAJARAN USAHA DAN ENERGI BERBASIS SCRATCH DAN TEACHABLE MACHINE DENGAN MODEL INKUIRI TERSTRUKTUR UNTUK MENGETAHUI MINAT BELAJAR SISWA KELAS VIII Lisa Nurfatimah; Wawan Kurniawan; Cicyn Riantoni
OPTIKA: Jurnal Pendidikan Fisika Vol. 10 No. 1 (2026): OPTIKA: Jurnal Pendidikan Fisika
Publisher : Department of Physics Education, Faculty of Teacher Training and Education, Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/optika.v10i1.7758

Abstract

Penelitian ini bertujuan untuk mengembangkan modul pembelajaran usaha dan energi berbasis scratch dan teachable machine dengan model inkuiri terstruktur untuk mengetahui minat belajar siswa kelas VIII menggunakan model pengembangan 4D yang meliputi tahap Pendefinisian, Perancangan, Pengembangan, dan Penyebaran, namun terbatas hanya sampai pada tahap Pengembangan. Data penelitian dikumpulkan melalui validasi ahli materi dan ahli media, kuesioner persepsi guru dan siswa, serta tes minat belajar siswa dilakukan setelah pembelajaran. Analisis data dilakukan secara deskriptif kuantitatif menggunakan persentase rata-rata. Produk yang dihasilkan berupa modul cetak dan modul digital. Hasil validasi ahli materi dan ahli media masing-masing memperoleh skor 90,7% dengan kategori sangat valid. Persepsi guru terhadap modul mencapai 92,71% dan persepsi siswa sebesar 81,42% dengan kategori sangat baik. Hasil analisis persentase minat belajar sebesar 89,24% menunjukkan minat belajar dalam kategori tinggi. Dengan demikian, modul yang dikembangkan dinyatakan sesuai dan efektif untuk digunakan sebagai media pembelajaran inovatif untuk mata pelajaran IPA di kelas VIII SMP.
PENGEMBANGAN MODUL PEMBELAJARAN GETARAN DAN GELOMBANG BERBASIS CODING DAN AI UNTUK MENINGKATKAN BERPIKIR KRITIS SISWA Surya Paula Dinata; Wawan Kurniawan; Cicyn Riantoni
OPTIKA: Jurnal Pendidikan Fisika Vol. 10 No. 1 (2026): OPTIKA: Jurnal Pendidikan Fisika
Publisher : Department of Physics Education, Faculty of Teacher Training and Education, Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/optika.v10i1.7761

Abstract

Penelitian ini bertujuan untuk mengembangkan modul pembelajaran tentang Getaran dan Gelombang berbasis Coding dan Artificial Intelligence dengan model inkuiri terstruktur untuk meningkatkan kemampuan berpikir kritis siswa. Penelitian ini dilakukan di SMPS Xaverius 1 Jambi di kelas VIII B menggunakan model pengembangan 4D yang meliputi tahap Define, Design, Development, dan dessiminate. Namun, tahap yang digunakan pada penelitian ini hanya sampai tahap Development (Pengembangan).  Hal ini disebabkan karena penelitian difokuskan pada proses pengembangan dan uji kelayakan produk, bukan pada tahap implementasi secara luas. Tahap penyebarluasan memerlukan waktu dan cakupan yang lebih besar, termasuk proses penerapan produk pada berbagai sekolah atau subjek yang lebih beragam untuk menguji efektivitasnya secara luas. Selain itu, keterbatasan waktu penelitian, sumber daya, dan ruang lingkup penelitian juga menjadi pertimbangan. Data penelitian dikumpulkan melalui validasi ahli materi dan ahli media, persepsi guru dan siswa, serta tes kemampuan berpikir kritis pre-test dan post-test disatu kelas VIII. Analisis data dilakukan secara deskriptif kuantitatif menggunakan persentase rata-rata dan perhitungan N-Gain untuk menentukan peningkatan kemampuan berpikir kritis siswa. Produk yang dihasilkan berupa modul cetak dan modul digital. Hasil validasi ahli materi dan ahli media masing-masing memperoleh skor 95,45% dengan kategori sangat valid. Persepsi guru terhadap modul mencapai 91,96% dan persepsi siswa sebesar 92,62% dengan kategori sangat baik. Hasil analisis N-Gain sebesar 0,67 menunjukkan peningkatan kemampuan berpikir kritis dalam kategori sedang. Dengan demikian, modul yang dikembangkan dinyatakan sesuai dan efektif untuk digunakan sebagai media pembelajaran inovatif untuk mata pelajaran Getaran dan Gelombang di kelas VIII SMP.
Co-Authors -, Maison Abdul Manab Abdussalam Aswin Hadist Ade Albayan Agus Harjoko Agus Koni Alfarobi, Ibnu Alrizal Alrizal, Alrizal Anung B Ariwibowo Ardo Alensyah Artha Lumbantoruan Astalini Astalini Astri Juwita Siregar Azizah Hanum Brahmantyo Anggoro Budi Cahyo Wibowo Chiou - Feng Lin Cindy Aulia Phadila Darmaji, Darmaji Dasrinal Tessal Deti Kurnia Sari Dewi Liesnoor Setyowati Dian Pertiwi Rasmi Dwi Agus Kurniawan Edwin Kurniawan Eka Metha Natalia Erni Febri Berthalita Pujaningsih Febrika Rahmat Basuki Febrina Rosa Winda Fibrika Basuki Fibrika Rahmat Basuki Fibrika Rahmat Basuki Fibrika Rahmat Basuki Fibrika Rahmat Basuki Fibrika Rahmat Basuki Fibrika Rahmat Basuki Fibrika Rahmat Basuki Fibrika Rahmat Basuki Fibrika Rahmat Basuki Fibrika Rahmat Basuki Firmansyah, Muhammad Reza Haerul Pathoni Haerul Pathoni, Haerul Hebat Shidow Falah Herdi Juan Saputra Hijriani, Hera Intan Permatasari Irma Fadilah Irma Fadilah Irma Mandasari Hatta Ismawan Prasetia Devi Jaquline Glenadys Siregar Jeliana Veronika Sirait Jhon Cavlin Jovin Jufrida Jufrida Juhadi . Khaedir Khaedir Khairul Anwar Lestari, Neneng Linda Zaenati Nur Farida Lisa Nurfatimah Lolika Saputri Lolika Saputri Louisiana Muliawati Lousiana Muliawati M Feby Khoiru Sidqi M. Fikri Oksaputra M. Furqon Marie, Iveline Anne Marie Melinda The Menza Hendri Merianti Merianti Miko Danu Pangestu Nehru Nia Nofrita Sari Novian Mahayu Adiutama Nugroho Kurniawan Nuri Istifah Khasanah Olva Fitaloka Olva Fitaloka Prayitno, Sugeng Rahmat Perdana Ralph Vincent Sapulette Riantoni, Cicyn Rima Ariani Rina Fitriana Rini Simamora Rizki Intan Sari Sabilah Hairun Anis Shifa Azzara Chairunnisa Solekhan, Solekhan Solekhan Surya Paula Dinata Teana Nisa Ekacitra Tugiyo Aminoto Vetty Milyani Vetty Milyani Wardah Fauziah Weni Angra Maya Yanti, Anti Novi Yanti Yosi Riduas Hais Yunita Yunita