Claim Missing Document
Check
Articles

Implementasi Rangkaian LED dan DC Water Pump pada Miniatur Taman sebagai Media Belejar untuk Siswa Difabel Sirojul Hadi; Anthony Anggrawan; M Najmul Fadli; Kurniadin Abd Latif; Muhammad Zulfikri; Tomi Trisujaka; Rini Anggriani
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 1 (2023): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v4i1.2935

Abstract

Students with disabilities are special students who have equal opportunities to be independent and able to develop themselves. Through learning and increasing creativity and innovation, students with disabilities will be able to compete and contribute to progress and development of self-ability in the community environment. The rapid development of technology requires children to learn from an early age. The first step to foster children's interest in learning about technology is to create technology-based learning media. Therefore community service is carried out with the aim that students with disabilities can learn about technology and can create a work that is used as a medium for learning about technology. The PkM method used is the experimental method. The result of the PkM that has been implemented is that students can enthusiastically learn about technology such as making led circuits and water pump circuits. Six deaf students were able to successfully make LED circuits and water pump circuits for a miniature garden.
Peran Pendidikan dalam Tantangan Era Revolusi Industri 4.0 menuju Era Revolusi Industri 5.0 Bidari Andaru Widhi; Dyah Susilowati; Anthony Anggrawan; Helna Wardhana; Christofer Satria; Titik Ceriyani Miswaty
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 1 (2023): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v4i1.3071

Abstract

The objectives of this activity are: to provide an understanding of the assumptive of education in facing the era of the industrial revolution 4.0 towards the era of the industrial revolution 5.0 for children in an effort to prevent early marriage and to build parental commitment to guide and monitor the use of gadgets for children in Dusun Salut Kendal, Desa Salut, Kecamatan Kayangan, North Lombok. This socialization activity is a collaboration between the Mataram Non-Governmental Organization (NGO) Selaksa Sejahtera Foundation (YASERA) and Bumigora University. The target of this devotion of people is around the Dusun Salut Kendal amount 40 people out of the planned 70 people which will be carried out in a day. The method of implementing this service is socialization which is the form of a workshop. Methods of socialization delivery of presentation and discussion techniques. The results of the implementation of Community Service show that the level of understanding of participants is more aware of the use of gadgets and the internet in facing the 4.0 industrial revolution era towards the 5.0 industrial revolution era for children in an effort to prevent early marriage.
Development of Augmented Reality Learning Media to Introduce Musical Instruments for Deaf Elementary School Student Dian Syafitri Chani Saputri; Anthony Anggrawan; Dyah Susilowati; Rahmat Maulana
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 10, No 3 (2024): September
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i3.12034

Abstract

This research aims to develop Augmented Reality learning media for deaf children at the elementary school level in recognizing musical instruments and measuring their effectiveness on learning outcomes. The research method used is research and development (R&D) and uses the Multimedia Development Life Cycle development method. The effectiveness of the media was tested using pretest-posttest. Data analysis techniques use the parametric statistical test. The results of testing by media and content experts concluded that the application was declared suitable for use as a learning medium. From the beta test, it was discovered by 33 deaf students that Augmented Reality learning media was well received. The t-test comparison test shows that there is a difference, which means that the use of Augmented Reality learning media as a medium for introducing musical instruments to deaf students has a positive impact on learning outcomes.
Peningkatan Tes Kemampuan Bahasa Inggris (TOEFL) untuk Dosen Eligible Sertifikasi Pendidik di IAHN Gde Puja Mataram Anggrawan, Anthony; Kamil, Wahyu; Primajati, Gilang; Herawati, Baiq Candra; Suhendra, Erwin
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 3 No 2 (2023): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v3i2.2494

Abstract

The Basic Academic Ability Test (TKDA) has a very important role to measure, mapping, and acquire quality Human Resources (HR) based on one's basic abilities in academic scholarship. These basic academic abilities and skills test the ability to think logically, systematically, and critically. This TKDA is often used for various purposes related to academic scores, such as in recruitment to enter the world of work, in the selection of new student admissions, and for eligibility requirements for lecturer certification (SERDOS). The government lecturer certification requires lecturers who are qualified serdos to have a TKDA ability score with a minimum threshold of 530 for 2022. This threshold continues to increase every year for 2021 the threshold is still 430. This increase in the threshold is intended to obtain lecturer standards better from year to year. Therefore, capacity building for eligible lecturers must be carried out with a systematic training scheme. Of course, it is an obligation to be able to continue until the assessment stage by the assessor in order to achieve the target that has been set. This community service, especially for the lecturers, is very useful for improving their abilities. The material given by the tutors who of course have passed the serdos is about TKDA knowledge itself such as types of test questions, solving tricks, test rules, how to make the test time more efficient, and finally the TKDA simulation tryout. Based on the results of the overall evaluation, it can be seen that the main target of the training implementation has been achieved. Participants better understand, understand, and have strategies to deal with TKDA, and based on the simulation, participants are able to work on TKDA questions well.
Pelatihan Penyusunan Materi Ajar Terintegrasi Teknologi Bagi Guru di SMPN 19 Mataram Rahmawati, Lela; Miswaty, Titik Ceriyani; Anggrawan, Anthony; Purnama, Baiq Kartika
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 3 No 2 (2023): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v3i2.2540

Abstract

From the amount of data obtained on the number of teachers teaching at SMPN 19 Mataram, the situation of the learning process was analyzed. Learning at SMPN 19 Mataram mostly still uses manual materials using printed books. For this reason, this training was deemed necessary so that SMPN 19 Mataram teachers could make technology-integrated teaching materials. One of the technologies that can support teaching materials especially in teaching students achievement in the field of English is the Powtoon Program. This application is a web-based animation software that allows users to quickly and easily create animated presentations by manipulating pre-made objects, imported images, provided music, and user-generated voiceovers. Powtoons are used by businesses to create attractive and creative presentations that attract attention, and can also be used for educational assessments and content delivery. PowToon is a tool similar in operation to Power Point, Impress, or even Prezi. It uses a slide on which text and images can be added, but also allows animation and the incorporation of sound or music, available within the same application or via an external source.
Edukasi Pentingnya Pendidikan bagi Anak di Dusun Salut Kendal Patty, Elyakim Nova Supriyedi; Anggrawan, Anthony; Satria, Christofer; Wardhana, Helna; Susilowati, Dyah; Iriyani, Sri Astuti; Rahim, Abdul
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 1 (2023): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v4i1.3024

Abstract

The purpose of this activity is: to provide counseling, socialization, and understanding of the importance of education for children given to the people of Salut Kendal Hamlet, Salut Village, Kayangan District, North Lombok Regency. the socialization activity was a collaboration between the Non-Governmental Organization Selaksa Sejahtera Foundation (YASERA) Mataram and Bumigora University. Participants were residents of Salut Kendal Hamlet, 40 people out of the planned 70 people carried out in one day. The method of implementing this service is the preparation and socialization stage which is packaged in the form of a workshop at the location of the savings for life family meeting. The results of the implementation of Community Service show that the level of understanding of community service participants is more aware of the importance of education for children in efforts to fulfill children's rights and prevent child marriage and to build parents' commitment to send their children at least to high school graduation.
Penggunaan Aplikasi Duolingo dalam Meningkatkan Kosakata Bahasa Inggris Pada Siswa Di Sekolah Rahmawati, Lela; Anggrawan, Anthony; Hastuti, Hilda; Aprianto, Dedi; Alfilail, Nur
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 2 (2025): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v5i2.4623

Abstract

The aim of community service activities is to provide English language training to students at Madrasah Aliyah Negeri Program Keagamaan (MAN-PK) MAN 2 Mataram. This learning training uses the Duolinglo Application. This training or course involves 2 classes of class X students totaling 50 participants in September and November 2024 at MAN PK MAN 2 Mataram. Each group was asked to use the Duolingo application to integrate English learning. This application is a gamification application, meaning users can learn English like playing games because this application uses audio-visual methods in learning. The methods used in this training are lecture, discussion and direct practice. The result of this service activity is that there is an increase in participants' skills and knowledge in speaking and writing using the Duolingo application. The results of evaluation and monitoring by applying the average post-test score show that the average post-test score (72.18) is greater than the average pretest score (35.78). The implications of community service activities can increase students' knowledge of English at school by using the Duolingo application.
Enhancing Mental Illness Predictions: Analyzing Trends Using Multiple Linear Regression and Neural Network Backpropagation Riosatria, Riosatria; Hairani, Hairani; Anggrawan, Anthony; Syahrir, Moch.
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 3 No 2 (2024): September 2024
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v3i2.4391

Abstract

The increasing number of mental health cases caused by various factors such as social changes, economic pressures, and technological advancements has made it difficult to accurately predict the number of cases, hindering prevention and early intervention efforts. Therefore, developing more accurate, data-driven predictive models is necessary to improve the effectiveness of prevention and intervention. This study aims to develop a predictive model for the number of mental health cases using Multiple Linear Regression and Neural Network Backpropagation methods. The study employs two predictive methods, Multiple Linear Regression and Neural Network Backpropagation to forecast future trends in the number of mental health cases. The findings reveal that the Neural Network Backpropagation method provides more accurate predictions than Multiple Linear Regression in forecasting mental health case trends. Specifically, the Neural Network Backpropagation method resulted in an MAE of 111.39 and a MAPE of 1.77%, while the Multiple Linear Regression method produced an MAE of 115.24 and a MAPE of 1.83%. Thus, the implication of this study is that the Neural Network Backpropagation method can be utilized to predict trends in the number of mental health cases due to its ability to provide highly accurate predictions.
Clustering Analysis of Umrah Pilgrim Data Based on the K-Medoid Method Huda, Dias Nabila; Anggrawan, Anthony; Hairani, Hairani
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 3 No 2 (2024): September 2024
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v3i2.4601

Abstract

The Umrah pilgrimage is becoming increasingly popular among Indonesians, with millions of participants yearly. This trend creates a need for service providers to understand the characteristics of pilgrims to improve service quality, marketing strategies, and competitiveness. Analyzing data on pilgrims helps service providers develop more effective strategies and tailor packages to match their needs, ensuring competitiveness in a growing market. This study aims to clusters Umrah pilgrims based on age, gender, district, and chosen package using the K-Medoid clustering method. This research uses the K-Medoid method for the reason that it is more resistant to noise and outliers compared to other clustering methods. The most centrally located point in the data set is called a ”medoid,” which is an object in a cluster that has the lowest difference to all other objects in the cluster. The results of this study are that the K-Medoid method successfully grouped pilgrims into three clusters: Cluster 1 with 63 members, Cluster 2 with 25 members, and Cluster 3 with 25 members. The findings indicate that the Milad Mastour package is preferred by older pilgrims, primarily from Mataram and West Lombok. The Arbain package is favored by younger pilgrims from the same regions, while adult pilgrims mostly choose the Regular package. The implication of this research is that it can provide insights for service providers to design more specific programs that align with the profiles of pilgrims based on age and district.
Multi-Algorithm Approach to Enhancing Social Assistance Efficiency Through Accurate Poverty Classification Satria, Christofer; Sugijanto, Peter Wijaya; Anggrawan, Anthony; Sumadewa, I Nyoman Yoga; Dayani, Aprilia Dwi; Anggriani, Rini
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 24 No 1 (2024)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i1.4275

Abstract

The determination of poverty status in Lombok Utara district depends on criteria such as income, access to health and education services, and housing conditions. These factors are crucial for assessing the level of community welfare and guiding the allocation of social assistance by the district government. The purpose of this study is to address the gap by utilizing advanced data mining techniques to improve the accuracy of poverty status classification in North Lombok, thereby informing more effective social assistance policies. The method used in this research is the Random Forest (RF), K-Nearest Neighbor (KNN) and Naïve Bayes with split data 80% data training and 20% data testing. The finding indicated that the machine learning model the RF algorithm, which achieved an accuracy rate of 82.56%, proved to play an important role in this process by effectively distinguishing between different categories of poverty based on these criteria. In comparison, the KNN algorithm achieved an accuracy of 70.94% and the Naïve Bayes model achieved an accuracy of 53.47%. It means that the machine learning model using the RF algorithm has more accurate accuracy than the KNN and Naïve Bayes algorithm in predicting or recommending Recipients of Social Assistance from the District Government. The implication is that RF machine learning can help the role of social service officers in predicting the economic status of the community. The high accuracy of the RF algorithm enhances its role in informing targeted policy decisions and optimizing the effectiveness of social assistance programs. Nonetheless, continuous improvement is essential to refine the model's predictive capabilities and ensure the accuracy and reliability of poverty assessments. These continuous improvements are essential to effectively alleviate poverty and break the cycle of socio-economic disparities in the region.
Co-Authors Abdul Rahim Ahmat Adil Alfilail, Nur Anggriani, Rini Aprilia Dwi Dayani Ariq, Tomy Ayu Dasriani, Ni Gusti Azhar, Raisul Azhari Azhari Bidari Andaru Widhi Cahyadi, Irwan Canggih Wahyu Rinaldi Cecep Kusmana christofer satria Christofer Satria Dadang Priyanto Dadang Pyanto Dafa Awanta Dayani, Aprilia Dwi Dedi Aprianto Dewa Ayu Oki Astarini Diah Supatmiwati Dian Syafitri Chani Saputri Dias Nabila Huda Didiharyono, D. Donny Kurniawan Dwi Kurnianingsih Dyah Susilowati Dyah Susilowati Efrizoni, Lusiana Elyakim Nova Supriyedi Patty, Elyakim Nova Supriyedi Erwin Suhendra Fadiel Rahmad Hidayat Hairani Hairani Haryono Haryono Hasbullah Hasbullah Hasbullah Helna Wardhana Hengki Tamando Sihotang Herawati, Baiq Candra Hilda Hastuti Huda, Dias Nabila Husain Husain I Nyoman Subudiartha I Nyoman Yoga Sumadewa I Nyoman Yoga Sumadewa Ikang Murapi Irwan Cahyadi Jean Suciasti Gunawan Junendri Ardian Kamil, Wahyu Katarina Katarina Khairan marzuki Khasnur Hidjah Kurniadin Abd Latif Lalau Ganda Rady Putra Lalu Ganda Rady Putra Lanang Sakti Lutfie, Muhammad Hilal Mumtaz M Najmul Fadli M. Ade Candra M. Thontowi Jauhari Mardedi, Lalu Zazuli Azhar Mayadi Mayadi Mayadi Mayadi Miswaty, Titik Ceriyani Mokhammad Nurkholis Abdillah Muhammad Innuddin Muhammad Ridho Akbar Muhammad Rosikhu MUHAMMAD TAJUDDIN Muhammad Zaki Pahrul Hadi Muhammad Zulfikri Muhsin, Lalu Busyairi Nurhidayati, Maulida Nurul Azmi Nurul Hidayah Peter Wijaya Sugijanto Primajati, Gilang Purnama, Baiq Kartika Putu Tisna Putra R. Ayu Ida Aryani Raden Bagus Faizal Irani Sidharta Rahmat Maulana Rahmawati, Lela Rahmiati, Baiq Fitria Rini Anggriani Rini Anggriani Riosatria Riosatria Riosatria, Riosatria Santoso, Heroe Sarjon Defit Satuang Satuang Sirojul Hadi Siti Soraya Sri Astuti Iriyani Sugijanto, Peter Wijaya Sunardy Kasim Supriantono, Herman Sutarman Syahrir, Moch. Syamsurrijal Syamsurrijal Tomi Tri Sujaka Triwijoyo, Bambang Krismono v, Sovian Veithzal Rivai Zainal Wayan Canny Naktiany Wenny Wijaya Wiya Suktiningsih Zulkipli Zulkipli