Garuda - Garba Rujukan Digital

Peningkatan Kualitas Media Pembelajaran Dengan Google Sites Pada Guru SMK 1 Windusari Magelang Hasani, Rofi Abul; Yudatama, Uky; Yudianto, Resa Arif; Sukmasetya, Pristi; Maimunah, Maimunah
Jurnal Pengabdian kepada Masyarakat UBJ Vol. 5 No. 2 (2022): June 2022
Publisher : Lembaga Penelitian Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/j3vvyy86

Technology has changed the teaching and learning process in the world of education. The most visible change is the use of learning media in schools. The presence of digital media provides a variety of educational innovations, where rigid and monotonous conventional learning will be replaced by learning using digital media which is considered more practical, flexible, and not limited by space and time. One of the learning media is a website. Based on the results of interviews with teachers at SMK Negeri 1 Windusari, they said the importance of online learning media, especially when online learning demands. Therefore, in this PKM, the authors carry out google sites training activities to improve the ability of teachers of SMK Negeri 1 Windusari to create learning media. After training on making teaching media using google sites will help teachers in making interesting learning materials and conveying them to students. So that this activity will provide good benefits to teachers, students, and SMK N 1 Windusari, Magelang Regency. Many teachers were previously reluctant to use making websites because of difficulties. However, after this training, the teachers at SMK Negeri 1 Windusari began to be enthusiastic about making learning media using google sites. Because using google sites is quite easy for teachers to do.

Pengenalan Deteksi Wajah Artificial Intelligence dan Achievement Motivation Training untuk Siswa SMK Kuncup Samigaluh Sukmasetya, Pristi; Primadewi, Ardhin; Yudianto, Muhammad Resa Arif; Maimunah, Maimunah; Hasani, Rofi Abul; Nugroho, Setiya
Jurnal Atma Inovasia Vol. 4 No. 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

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

— Artificial Intelligence (AI) is a field of computer science aimed at developing machines capable of performing tasks that typically require human intelligence. In recent years, the development of AI has shown significant progress, and its use has expanded across various sectors, including education. The application of AI in education offers various opportunities and challenges, such as personalized learning and enhancing students' skills, but also presents challenges in technological adaptation and ethical understanding. This paper discusses the utilization of AI-based facial recognition technology at SMK Kuncup Samigaluh, with the goal of enhancing students' competence in information technology. This community service activity involves a series of structured stages, including initial planning, activity implementation, discussion and Q&A, as well as evaluation and feedback. The results of this activity indicate a significant improvement in students' understanding of AI and facial recognition technology, as evidenced by the increase in post-test scores compared to pre-test scores. With an interactive demonstrative approach, this activity successfully provided a positive impact on students' knowledge and interest in AI, and broadened their horizons regarding career opportunities in information technology.

Pengembangan Pengelolaan Usaha Penyulingan Minyak Sereh Melalui Pelatihan Budidaya, Teknik Penyulingan dan Hiliriasi Produk Sereh Wangi (Andropogon nardus L) Desa Tempursari Wardani, Arief Kusuma; Agusta, Herma Fanani; Hasani, Rofi Abul; Nofitriana, Risma; Permatasari, Sukma Putri; Listiyani, Oktavia
Jurnal Pengabdian kepada Masyarakat UBJ Vol. 7 No. 2 (2024): June - December 2024
Publisher : Lembaga Penelitian Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/0ge8mz70

Low human resources are the main reason the citronella oil refining business in Tempursari village, Candimulyo, Magelang, which started in 2021, has stopped producing citronella oil. The quality of lemongrass essential oil is an indicator of success in the distillation process. Lemongrass oil is said to be of quality if it has a high yield and complies with (SNI) 06-3593-1995. To increase the community's knowledge and skills, a series of outreach activities, cultivation training, distillation techniques, making citronella solid soap products and practice of managing a website as promotional media were carried out. The focus of this service involves the participation of the community who are members of the Association of Farmer Groups, the Women's Farmer Community and Karangtaruna of Tempursari Village, Candimulyo District, Magelang Regency. The results of increasing knowledge and skills include the percentage of pre- and post-test scores which show an increase in knowledge of citronella cultivation from 62.68% to 71.33% and post-harvest knowledge from 38.02% to 82.50%. The level of improvement in distilling skills was shown by an increase in yield from 0.1% to 0.8%, partner skills also increased because they succeeded in making citronella solid soap, and Karangtaruna was able to control the operations of the website www.atsiri-tempursari.com so that the latest information could be conveyed through the media digital.

Uji Prototype Metode Design Thinking pada Penyebaran Informasi COVID-19 Hasani, Rofi Abul; Yudianto, Muhammad Resa Arif; Sukmasetya, Pristi; Febriyanto, Yusril
Jurnal Kajian Ilmiah Vol. 22 No. 2 (2022): May 2022
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/fa8q9e76

The spread of information about COVID-19 spreads so fast that the information circulating in the community has not been confirmed. This causes excessive anxiety and fear. There are several approaches to getting things done like design thinking, design sprint, and lean UX. With the right approach, this kind of situation will be resolved. From these problems, in this research, problem-solving will be carried out using a design thinking method. Because design thinking is the best method for developing innovative products. The design thinking process consists of 5 stages: Empathize, Define, Ideate, Prototype, Test. This research has carried out all these stages. The prototyping process uses the Figma mirror application to produce a more real experience for users. Then the prototype was tested on 5 respondents. After the test is carried out, it shows the success data based on predetermined indicators in the form of task 1 success is 80%, task 2 success is 100% successful, task 3 success is 60%, task 4 success is 40%, task 5 success is 100% and task 6 has 60% success. so that the average success of the prototype made is 88%. This means that the prototype developed with the design thinking method is easy for users to use. However, there are still features that have a low yield of 40%. So in the next iteration, it is necessary to improve the interface display that focuses on the call doctor feature based on user feedback.

Sistem Pendukung Keputusan Berbasis Mobile untuk Rekomendasi Tindakan terhadap Kondisi Cuaca hasani, rofi abul; Sampurna, Dhuha
JURNAL INFORMATIKA DAN KOMPUTER Vol 9, No 2 (2025): Juni 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v9i2.1970

Kondisi cuaca yang dinamis dan tidak dapat diprediksi sering memengaruhi pengambilan keputusan strategis di berbagai sektor, termasuk transportasi, pertanian, dan penanggulangan bencana. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pengambilan keputusan yang memberikan rekomendasi yang dapat ditindaklanjuti berdasarkan analisis kondisi cuaca. Sistem ini mengintegrasikan teknologi pembelajaran mesin, pemrosesan data cuaca waktu nyata, dan algoritma pengambilan keputusan untuk memberikan rekomendasi yang tepat di berbagai skenario cuaca, baik normal maupun ekstrem. Metodologi penelitian terdiri dari pengumpulan data cuaca dari API cuaca global Open di openweathermap.org, serta menerapkan algoritma machine learning dan metode Analytic Hierarchy Process (AHP) untuk mengklasifikasikan kondisi cuaca dan menghasilkan rekomendasi seperti membawa payung, menunda aktivitas, atau tetap melanjutkan kegiatan. Sistem ini dirancang untuk mengidentifikasi potensi risiko cuaca, seperti hujan lebat, angin kencang, atau suhu ekstrem, dan untuk memberikan saran tindakan khusus, seperti menyiapkan payung, menjadwalkan ulang kegiatan, memulai evakuasi, atau menerapkan tindakan pencegahan. Pengujian pada penelitian ini menggunakan blackbox testing sebagai pengujian secara functional dan di evaluasi berdasarkan pengalaman pengguna menggunakan Net Promote Score(NPS). Hasil pengujian menunjukkan 100\% fungsi berjalan. Dan metode NPS yang menghasilkan promoter sebesar 60\%. Pada penelitian ini yang menghasilkan aplikasi berbasis mobil untuk merekomendasikan tindakan terhadap kondisi cuaca termasuk dalam kategori sangat puas, sehingga mereka berpotensi menjadi pendukung aktif (loyal user) yang akan mempromosikan aplikasi secara sukarela, misalnya melalui rekomendasi ke teman, ulasan positif, atau penggunaan berkelanjutan.

Pengenalan Deteksi Wajah Artificial Intelligence dan Achievement Motivation Training untuk Siswa SMK Kuncup Samigaluh Sukmasetya, Pristi; Primadewi, Ardhin; Yudianto, Muhammad Resa Arif; Maimunah, Maimunah; Hasani, Rofi Abul; Nugroho, Setiya
Jurnal Atma Inovasia Vol. 4 No. 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v4i3.9367

— Artificial Intelligence (AI) is a field of computer science aimed at developing machines capable of performing tasks that typically require human intelligence. In recent years, the development of AI has shown significant progress, and its use has expanded across various sectors, including education. The application of AI in education offers various opportunities and challenges, such as personalized learning and enhancing students' skills, but also presents challenges in technological adaptation and ethical understanding. This paper discusses the utilization of AI-based facial recognition technology at SMK Kuncup Samigaluh, with the goal of enhancing students' competence in information technology. This community service activity involves a series of structured stages, including initial planning, activity implementation, discussion and Q&A, as well as evaluation and feedback. The results of this activity indicate a significant improvement in students' understanding of AI and facial recognition technology, as evidenced by the increase in post-test scores compared to pre-test scores. With an interactive demonstrative approach, this activity successfully provided a positive impact on students' knowledge and interest in AI, and broadened their horizons regarding career opportunities in information technology.

Sistem Klasifikasi Keanekaragaman Tanaman Pangan Menggunakan Transfer Learning Pendekatan CNN dan Model Arsitektur EfficientNetB7 Setyawan, Akhmad Fajar; Hasani, Rofi Abul; Arumi, Endah Ratna
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5577

Plant species identification is a crucial aspect in agriculture and forestry, significantly impacting food production, environmental conservation, and scientific research. The difficulty in identifying plant species can be caused by several factors, such as high morphological diversity, similarities between species, and changes in plant morphology due to different environmental conditions. This study uses a deep learning approach with the EfficientNetB7 architecture to solve the problem of plant identification. The dataset used consists of 30,000 images representing 30 plant species, each with 1,000 images. The model was trained using transfer learning techniques, tested on two scenarios classification with 4 plant classes and 30 plant classes. Results showed an accuracy of 97% with a loss of 0.24 for 4 classes, and an accuracy of 85% with a loss of 1.1 for 30 classes. The higher loss value in the scenario with 30 classes was due to the increased complexity and greater diversity of data. The evaluation results showed that the EfficientNetB7 was effective in classifying plant species with a high level of accuracy. It’s expected that model can be implemented to improve efficiency in plant maintenance and management. Convolutional Neural Network (CNN) architecture greatly influences the results of image classification. CNN is generally divided into two stages feature extraction using convolution layers and classification using artificial neural networks. The sixth CNN succeeded in achieving the highest accuracy in batik motifs, which was 87.83%. This model was good performance on precision and recall metrics.

Penerapan Data Mining Untuk Meningkatkan Minat Baca Melalui Sistem Rekomendasi Pemilihan Buku di Perpustakaan Menggunakan Metode Apriori Albahi, Naufal Hanif; Nuryanto, Nuryanto; Hasani, Rofi Abul
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5582

The government's efforts to increase public interest in reading are by creating public libraries which are also implemented in Magelang City. However, interest in reading in Indonesia is still relatively low due to several factors. One of the shortcomings in the current library is the lack of interaction between library staff and library members to provide book recommendations that members might like. This study aims to design and build a book recommendation system based on the history of borrowing by members using the Apriori method at the Magelang City Library. With this system, it is hoped that library staff can provide book recommendations that might be interesting based on member interests. In this study, the apriori method was chosen because it was considered appropriate with the background of the method which works based on the frequency of items selected simultaneously. The apriori method which is often categorized as market basket analysis can be implemented for several purposes such as predicting items to be purchased in a store, arranging the layout of books or goods, so this study will try to implement the apriori method into a book recommendation system. The system is made by collecting data which is generally carried out from the observation process which is continued with system design and system implementation. The results of creating a book recommendation system using the apriori method built using a web programming language have a good level of accuracy if based on the calculation value. The only difference lies in the system output which will be automatically sorted based on the highest confidence value.

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