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Pelatihan New Media pada Perangkat Desa Wadaslintang Wonosobo dalam Digitalisasi Promosi Wisata Setiawan, Abas; Arifudin, Riza; Sugiharti, Endang; Sekartaji, Novanka Agnes; Nugroho, Prisma Bayu; Subarkah, Agus
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 3 (2023): September 2023
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v6i3.1556

Abstract

Kecamatan Wadaslintang, Kabupaten Wonosobo, merupakan salah satu daerah di Jawa Tengah yang memiliki potensi wisata yang menjanjikan. Sayangnya potensi wisata tersebut kurang terpublikasi sehingga belum banyak masyarakat yang tahu. Kecamatan Wadaslintang membutuhkan peningkatan literasi digital terutama untuk digitalisasi dan promosi potensi wisata pada perangkat desa. Sebagai solusi untuk menjawab permasalahan tersebut, kami melakukan pelatihan penggunaan New Media khususnya Canva, CapCut, dan Instagram bagi perangkat desa. Ada lima tahapan utama pelatihan ini, yaitu pembekalan dan sosialisasi, paparan konsep new media, demonstrasi dan praktek pembuatan konten, distribusi, dan pendampingan. Kegiatan tersebut dilakukan di kantor Kecamatan Wadaslitang Kabupaten Wonosobo dengan 30 peserta perangkat desa. Perangkat desa dapat membuat konten gambar dengan Canva dan konten video dengan CapCut yang kemudian di bagikan pada sosial media Instagram. Perangkat desa cukup menggunakan smartphone masing-masing dalam melakukan kegiatan ini, sehingga mereka merasa antusias dan lebih leluasa dalam melakukan praktik. Sebagai evaluasi kegiatan ini, dilakukan pengujian pre-test dan post-test. Hasil evaluasi tersebut menunjukkan bahwa tingkat literasi dan komunikasi digital perangkat desa Kecamatan Wadaslintang meningkat seiring dengan pelatihan yang sebelumnya telah dipraktekkan. Pendampingan daring dilakukan sebagai tindak lanjut dari pelatihan sehingga perangkat desa bisa saling bertukar informasi dan berkolaborasi seusai pelatihan.
Optimizing Support Vector Machine Performance for Parkinson's Disease Diagnosis Using GridSearchCV and PCA-Based Feature Extraction Jumanto, Jumanto; Rofik, Rofik; Sugiharti, Endang; Alamsyah, Alamsyah; Arifudin, Riza; Prasetiyo, Budi; Muslim, Much Aziz
Journal of Information Systems Engineering and Business Intelligence Vol. 10 No. 1 (2024): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.10.1.38-50

Abstract

Background: Parkinson's disease (PD) is a critical neurodegenerative disorder affecting the central nervous system and often causing impaired movement and cognitive function in patients. In addition, its diagnosis in the early stages requires a complex and time-consuming process because all existing tests such as electroencephalography or blood examinations lack effectiveness and accuracy. Several studies explored PD prediction using sound, with a specific focus on the development of classification models to enhance accuracy. The majority of these neglected crucial aspects including feature extraction and proper parameter tuning, leading to low accuracy. Objective: This study aims to optimize performance of voice-based PD prediction through feature extraction, with the goal of reducing data dimensions and improving model computational efficiency. Additionally, appropriate parameters will be selected for enhancement of the ability of the model to identify both PD cases and healthy individuals. Methods: The proposed new model applied an OpenML dataset comprising voice recordings from 31 individuals, namely 23 PD patients and 8 healthy participants. The experimental process included the initial use of the SVM algorithm, followed by implementing PCA for feature extraction to enhance machine learning accuracy. Subsequently, data balancing with SMOTE was conducted, and GridSearchCV was used to identify the best parameter combination based on the predicted model characteristics.  Result: Evaluation of the proposed model showed an impressive accuracy of 97.44%, sensitivity of 100%, and specificity of 85.71%. This excellent result was achieved with a limited dataset and a 10-fold cross-validation tuning, rendering the model sensitive to the training data. Conclusion: This study successfully enhanced the prediction model accuracy through the SVM+PCA+GridSearchCV+CV method. However, future investigations should consider an appropriate number of folds for a small dataset, explore alternative cross-validation methods, and expand the dataset to enhance model generalizability.   Keywords: GridSearchCV, Parkinson Disaese, SVM, PCA, SMOTE, Voice/Speech
STEM Trails: Enhancing STEM Education through Math Trails with Digital Technology Cahyono, Adi Nur; Dewi, Nuriana Rachmani; Asih, Tri Sri Noor; Arifudin, Riza; Aditya, Rozak Ilham; Maulana, Bagus Surya; Nugroho, Muhammad Andi
Kreano, Jurnal Matematika Kreatif-Inovatif Vol. 15 No. 1 (2024): Kreano, Jurnal Matematika Kreatif-Inovatif
Publisher : UNNES JOURNAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jtknv202

Abstract

This study aims to explore the development of STEM Trails to improve STEM Education through the integration of Math Trails activity with Digital Technology. An exploratory study initiative engaged researchers, teachers, students, and programmers. Data was collected through discussions and observations and then evaluated to create STEM Education through Math Trails utilizing Digital Technology. The study demonstrated the successful development of STEM Trails, comprising the STEM Trails platform and the creation of STEM Education activities utilizing Math Trails on the platform. STEM Trailblazers create paths with goals focused on science, technology, engineering, and mathematics using elements found in the surroundings. The trail and tasks are posted on a website for STEM Trail walkers to access and investigate via an application. STEM Trails enable the comprehensive exploration of science, technology, engineering, and mathematics through physical or virtual means. The study suggests that STEM Trails can serve as a mathematics learning approach that mixes outdoor activities with digital technologies and incorporates other subjects. Math Trails is a traditional concept that has been innovatively combined with digital technologies and diverse activities. This method must be broadened and refined by adjusting to the specific circumstances, conditions, and requirements, and then executed in different settings. Penelitian ini bertujuan untuk mengeksplorasi pengembangan STEM Trails untuk meningkatkan STEM Education melalui integrasi aktivitas Math Trails dengan Digital Technology. Sebuah inisiatif penelitian eksploratif melibatkan peneliti, guru, siswa, dan programmer. Data dikumpulkan melalui diskusi dan pengamatan dan kemudian dievaluasi untuk menciptakan STEM Education melalui Math Trails menggunakan Teknologi Digital. Studi ini menunjukkan keberhasilan pengembangan STEM Trails, yang terdiri dari platform Stem Trails dan penciptaan kegiatan STEM Education menggunakan Math Trails di platform tersebut. STEM Trailblazers menciptakan jalur dengan tujuan yang berfokus pada ilmu pengetahuan, teknologi, teknik, dan matematika menggunakan elemen yang ditemukan di sekitarnya. Trail dan tugas diposting di situs web untuk STEM Trail walker untuk mengakses dan menyelidiki melalui aplikasi. STEM Trails memungkinkan eksplorasi komprehensif ilmu pengetahuan, teknologi, teknik, dan matematika melalui sarana fisik atau virtual. Studi ini menyarankan bahwa STEM Trails dapat berfungsi sebagai pendekatan pembelajaran matematika yang menggabungkan kegiatan outdoor dengan teknologi digital dan mengintegrasikan mata pelajaran lainnya. Math Trails adalah konsep tradisional yang telah digabungkan secara inovatif dengan teknologi digital dan berbagai kegiatan. Metode ini harus diperluas dan disempurnakan dengan menyesuaikan dengan keadaan, kondisi, dan persyaratan tertentu, dan dijalankan dalam pengaturan yang berbeda.
Implementation of NXT 2.0 Mindstorm Robot Sensors on Mobile Education for Students Kuncoro, Rizki Danang Kartiko; Arifudin, Riza; Sugiharti, Endang
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2018: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2289

Abstract

In the current 4.0 industry era, technological development is very fast and fast. In the world of education the lessons about technology should have been introduced to students since elementary school. Do not have to use complex technology, enough to use robotics technology from the NXT 2.0 LEGO minstorm robot which is lego-based to play and learn algorithms in composing technology. Using this tool can also be controlled by the smartphone application. Using a mobile application that we designed will make it easier for students to use and play this educational media. In this media, each sensor in the robot will be interrelated to the mobile control, we have tested this control with 83.33% detection accuracy. So that it can effectively become an interactive and fun technology-based learning media for students. The purpose of this educational media is to improve the quality of education in Indonesia so that it can be technology-based and enjoyable for students. Because the application of technology to education is very important to hone the power of creative thinking in composing programming algorithms using robots. Students will be very interested and have good enthusiasm in learning robotics based on this mobile application.
Implementasi E-Ujian Sebagai Sistem Penilaian Pembelajaran Daring di SMP Islam Roudlotus Saidiyyah Semarang Hakim, M. Faris Al; Sugiharti, Endang; Alamsyah, Alamsyah; Arifudin, Riza; Abidin, Zaenal; Putra, Anggyi Trisnawan
Jurnal Abdi Negeri Vol 2 No 1 (2024): Januari 2024
Publisher : Informa Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63350/jan.v2i1.18

Abstract

The presence of the COVID-19 outbreak has led to the implementation of online learning from the location of each home. SMP Islam Roudlotus Saidiyyah Semarang has transformed learning by utilizing various applications. However, for the purposes of final semester assessment or integrated assessment, an online exam application is needed that is easy to use and able to provide data on student learning outcomes accurately and quickly. The implementation method consists of preparation, training, and evaluation. The results of the training showed that the E-Ujian application as an application for online assessment has the potential to be applied at SMP Islam Roudlotus Saidiyyah Semarang. The utilization of the E-Ujian Application in learning activities in the partner environment is an effort to maintain the quality of learning.
Co-Authors Abas Setiawan Adha, Nugraha Saputra Adhitiya, Ervan Nur Adi Nur Cahyono Aditya, Rozak Ilham Aji Saputra Aji, Septiko Al Hakim, M. Faris Alamsyah - Alfatah, Abdul Muis Alfatah, Abdul Muis Amalia Fikri Utami Amin Suyitno Anggita, Anggita Anggyi Trisnawan Putra Ardhi Prabowo Arief Agoestanto Arief Broto Susilo Arif Widiyatmoko, Arif Ariska, Mega Arka Yanitama Arrohman, Ramadhan Ridho Asih, Tri Sri Noor Atikah Ari Pramesti, Atikah Ari Budi Prasetiyo, Budi Chakim, Muhamad Nur Choirunnisa, Rizkiyanti Clarissa Amanda Josaputri, Clarissa Amanda Damayanti, Angreswari Ayu Damayanti, Tiara Desy Fitria Astutianingtyas Devi, Feroza Rosalina Devi, Feroza Rosalina Dewi, Nuriana Rachmani Dian Tri Wiyanti Dwijanto Dwijanto, Dwijanto Endang Sugiharti, Endang Faozi, Faozi Farkhan, Feri Fata, Muhamad Nasrul Fata, Muhamad Nasrul Fitriana, Jevita Dwi Habaib, Taufik Nur Hakim, M. Faris Al Hani'ah, Ulfatun Hardi Suyitno Hardianti, Ririn Dwi Hariyanto, Abdul Hidayat, Kukuh Triyuliarno Hidayat, Kukuh Triyuliarno Hikmah, Al Hikmawati, Zahra Shofia Hikmawati, Zahra Shofia Ichsan, Nur Jumanto Jumanto, Jumanto Jumanto Unjung Kumalasari, Putri Laksita Kuncoro, Rizki Danang Kartiko Larasati, Ukhti Ikhsani Larasati, Ukhti Ikhsani Mashuri Mashuri Masrukan Masrukan Maulana, Bagus Surya Melissa Salma Darmawan Mohammad Asikin Much Aziz Muslim Mudzakir, Amat Muhammad Fariz Muttaqin, Irfan Fajar Nugroho, Ari Yulianto Nugroho, Muhammad Andi Nugroho, Prisma Bayu Pramadita, Anjar Aditya Putriaji Hendikawati Rachmawati, Eka Yuni Rachmawati, Eka Yuni Rahmanda, Primana Oky Rahmanda, Primana Oky Ratna Dewi, Novi Rizki Nor Amelia Rochmad - Rofik Rofik, Rofik S.Pd. M Kes I Ketut Sudiana . Safri, Yofi Firdan Safri, Yofi Firdan Sasongko, Andry Scolastika Mariani Sekartaji, Novanka Agnes Setiawan, Danang Aji Stephani Diah Pamelasari Subarkah, Agus Subhan Subhan Sukmadewanti, Irahayu Sukmadewanti, Irahayu Susanto, Febri Trihanto, Wandha Budhi Trihanto, Wandha Budhi Utami, Hamdan Dian Jaya Rozi Hyang Utami, Hamdan Dian Jaya Rozi Hyang Wibowo, Eric Adie Widyawati, Kharisa Yahya Nur Ifriza Yulianto, Muhamad Maulana Yulianto, Muhamad Maulana Zaenal Abidin Zulfikar Adi Nugroho, Zulfikar Adi