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Digital innovation : Implementation of interactive teaching materials for vocational school teachers to support Merdeka Belajar and SDGs 4 Azizah, Nuril Lutvi; Cornelius, Cornelius; Eviyanti, Ade; Liansari, Vevy; Wardani, Gita; Diba, Naila Farah
Community Empowerment Vol 10 No 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.12263

Abstract

The problem in vocational school (SMK) learning is the lack of interactive teaching media used by educators. However, under the Merdeka Belajar curriculum, vocational school students are expected to develop their achievements and create self-employment opportunities based on their acquired skills. This activity aims to enhance the skills of vocational school teachers in digitizing teaching materials through 2D animated videos, 3D animated videos with Artificial Intelligence (AI), and digital flip books. The method used in this community service includes socialization, training, mentoring, and evaluation. The results of the activity indicate an improvement in vocational school teachers' skills in creating 2D and 3D animated instructional videos. Additionally, some teachers have successfully developed interactive digital-based teaching materials.
Informasi Geografis Untuk Mengetahui Jalur Rawan Kecelakaan Di Kabupaten Sidoarjo Menggunakan Gps Berbasis Android Nurul amiroh; Ade Eviyanti, S. Kom
International Journal of Human Computing Studies Vol. 2 No. 2 (2020): IJHCS
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v2i2.442

Abstract

Sidoarjo is a densely populated city, with a high population level so that the movement of mobilization of transportation facilities and infrastructure is also increasing. From that impact arises congestion problems and a relatively high level of traffic accidents from year to year. Traffic accidents according to RI Law Article 1 No. 22 of 2009 Article 1 is an incident on an unexpected and unintentional highway involving a vehicle with or without other road users resulting in human casualties and / or property losses. In the occurrence of an accident, it always contains elements of accidental and uninjured and will cause feelings of surprise, surprise and trauma for people who have experienced the accident. If an accident occurs intentionally and has been planned in advance, then this is not a traffic accident, but is classified as a criminal act of either persecution or premeditated murder. Based on the results of trials conducted on three Android devices, this application runs well on all types of Android devices with different OS versions. In terms of appearance, this application uses a layout with listview, so that the display will adjust to the resolution of the Android device. While in terms of stability, it is a bit heavy on some android devices due to the specifications.
Deteksi prakejang pada pasien epilepsi berdasarkan rekam sinyal EEG menggunakan metode LSTM Eviyanti, Ade; Fitrani, Arif Senja; Nisak, Umi khoirun; Agustin, Erlina; Zahputra, Aldy Trisza
INTEGER: Journal of Information Technology Vol 10, No 1 (2025): April
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2024.v10i1.7459

Abstract

Epilepsi adalah penyakit otak yang tidak menular dan memengaruhi sekitar 50 juta orang di dunia. Sinyal electroencephalogram (EEG) memberikan informasi penting tentang aktivitas listrik otak. Epilepsi bisa terdeteksi melalui analisis sinyal EEG, tetapi prosesnya rumit, membutuhkan keterampilan manusia, dan memakan waktu. Deteksi prakejang pada pasien epilepsi merupakan tantangan dalam bidang neurologi. Dalam penelitian ini, kami memfokuskan pada pengembangan metode deteksi prakejang menggunakan sinyal EEG dan menggunakan pendekatan metode Long Short-Term Memory (LSTM). Dalam analisisnya. Sinyal EEG direkam dari pasien epilepsi selama periode tertentu, dan kemudian dilakukan pemrosesan dan analisis menggunakan metode LSTM. LSTM adalah jenis jaringan saraf rekuren (RNN) yang terkenal karena kemampuannya dalam memodelkan dan mempelajari urutan data. Pendekatan LSTM memungkinkan pemodelan yang lebih baik terhadap karakteristik dinamis sinyal EEG, termasuk pola sebelum terjadinya prakejang. Dalam penelitian ini, kami menggunakan dataset sinyal EEG yang terdiri dari pasien epilepsi dengan prakejang dan tanpa prakejang. Data tersebut dibagi menjadi set pelatihan dan set pengujian untuk melatih dan menguji model LSTM. Proses pelatihan model dilakukan dengan mengoptimalkan parameter dan menyesuaikan bobot jaringan LSTM berdasarkan data pelatihan. Hasil eksperimen menunjukkan bahwa metode LSTM mampu mendeteksi prakejang pada pasien epilepsi dengan tingkat akurasi 98.44% dengan menggunakan optimizer RMSprop. Penelitian ini memberikan kontribusi dalam pengembangan teknik deteksi prakejang pada pasien epilepsi menggunakan sinyal EEG dan metode LSTM. Hasil-hasil penelitian ini dapat digunakan sebagai dasar untuk pengembangan sistem deteksi prakejang yang lebih lanjut.
Analisis Sentimen Tingkat Kepuasan Aplikasi WordPress Menggunakan Metode K-Nearest Neighbor dan Naive Bayes Hamid, Moch Siddiq; Eviyanti, Ade; Hindarto, Hindarto; Ariyanti, Novia
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.1522

Abstract

User satisfaction reflects emotions when comparing services received with expectations, so understanding user satisfaction is important for app development. This research aims to evaluate user satisfaction with WordPress apps on the Google Play Store and identify areas for improvement. Sentiment analysis with KNN and Naïve bayes algorithms as the method used to extract information from 5,000 user reviews downloaded from Google Play Store,. The results showed the majority of reviews had positive sentiments, with Naïve Bayes providing better results than KNN, achieving 88% accuracy, 89.45% precision, 88% recall, and 83% F1-Score on a 90:10 data split. The word cloud of positive reviews featured words such as “great”, “good”, “helpful”, “app”, and “good”, reflecting user satisfaction with the ease and benefits of the app, while negative reviews featured words such as “difficult”, “try”, and “fail” indicating technical difficulties and user dissatisfaction. This study concludes that WordPress apps have provided a satisfactory experience for most users, but some technical areas need improvement. The results of this study will provide valuable information for app developers in efforts to improve service quality and the app's reputation
Augmented Reality-Based Laptop Digital Catalog Application Shiddqy Hidayat, Syahril; Taurusta, Cindy; Eviyanti, Ade; Senja Fitrani, Arif
International Journal on Human-Computing Studies Vol. 7 No. 1 (2025): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v7i1.5455

Abstract

Augmented Reality is a system that supports the real world with virtual (computer-generated) objects that appear together in the same space/place as the real world. One of the uses of Augmented Reality is as a promotional medium. The application of Augmented Reality (AR) in promotional media aims to increase the interest of consumers who are not satisfied with conventional promotional media. With conventional media, the attractiveness of an item is still not maximized. Based on the results of the research and the application made, it can be concluded that the "AR Laptop Catalog" application can help increase consumer interest by knowing the real form of the product and can help determine the desired laptop. The "AR Laptop Catalog" application was created with the aim of introducing Augmented Reality as a new promotional media, with the existence of AR-based promotional media it is hoped that it can be a reference for the development of further promotional media
The Implementation of a Web-Based Outdoor Equipment Rental System Design (Case Study: L3 Adventure) Dulkarnain, As’ad; Eviyanti, Ade
International Journal on Human-Computing Studies Vol. 7 No. 3 (2025): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v7i3.5484

Abstract

The advancement of information technology has transformed work methods and data management, especially among Gen Z. UMKM L3 Adventure, which rents out camping equipment, still uses manual processes for booking and data management. The COVID-19 pandemic highlighted the need for adopting an online booking system to reduce physical contact and enhance operational efficiency. This research aims to develop a web-based information system for L3 Adventure, focusing on designing an efficient and accessible online camping equipment booking system. A qualitative and quantitative approach was used, with structured surveys conducted at L3 Adventure in Sukodono, Sidoarjo. Data was collected through observation, interviews, and relevant literature. The research findings indicate that the web-based system improves data management and booking efficiency. The system employs a waterfall design model and was tested using the blackbox method to ensure its functionality. This study contributes to the development of outdoor equipment rental information systems, aiming to enhance efficiency and user experience at L3 Adventure.
Analisa Anti Oksidan Dan Vitamin C pada Sayuran dan Rempah-Rempah Abror, M.; Arifin, Saiful; Eviyanti, Ade
JURNAL FARMASI GALENIKA Vol 7 No 2 (2020): Jurnal Farmasi Galenika Volume 7 No. 2
Publisher : Universitas Bhakti Kencana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70410/jfg.v7i2.180

Abstract

Tanaman menjadi bagian yang tidak bisa dipisahkan dari manusia. Banyak manfaat dan gunanya untuk kesehatan manusia dalam rangka untuk pengobatan berbagai macam penyakit. Tujuan penelitian ini adalah ingin mengetahui kandungan antioksidan dan vitamin C pada sayuran dan rempah-rempah. Penelitian dilaksanakan dilaksanakan di Universitas Muhammadiyah Sidoarjo dengan sampel diambil di daerah kabupaten Sidoarjo Metode pengujian dilakukan secara kuantitatif mencari nilai absorbansi dengan mereaksikan masing-masing standar terhadap radikal Bebas DPPH (2,2-diphenyl-1-picrylhydrazyl) 0,1 mM menggunakan spektrofotometer UV VIS untuk kadar antioksidan dan metode analisa kuantitatif secara titrasi iodimetri untuk kadar Vitamin C. Hasil penelitian ini menunjukkan bahwa sayuran dan rampah-rampah mengandung antioksidan dengan nilai dibawah sampai 100 ppm pada uji IC50, sehingga karegori aktifitas antioksidan tergolong aktif demikian juga untuk vitamin C terdapat kandungan yang rata-rata lebih dari 9,9% yang diartikan sangat bagus untuk kesehatan. Tanaman yang mengandung aktifitas antioksidan yang kuat dan vitamin C yang tinggi dapat meningkatkan sistem imun dalam tubuh manusia, sehingga bisa menjaga dari serangan beberapa penyakit diantaranya virus corona.
Implementation of the Linear Regression Method to Determine Predictions of the Influence of Religion on General Election Participation fitria, Saniya Izza; Senja Fitrani, Arif; Eviyanti , Ade
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 1 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v15i1.18105

Abstract

This research aims to predict election participation in places of worship through statistical data analysis methods and predictive algorithms. Election participation, as a complex phenomenon, is influenced by various factors, with religion often being a crucial element that motivates or inhibits voter turnout. This study uses variables from Central Statistics Agency (BPS) data and recapitulation of previous general elections, based on historical patterns. Using a statistical approach, the relationship between religious variables and the level of voter participation in places of worship is identified. The linear regression method is used to predict the influence of religion on election participation. In this research, a series of scenarios were carried out, and the research results showed different variations in R-squared (R-Square) and Mean Squared Error (MSE) results. The best scenario, namely the R-squared scenario with a value of around 0.00012 and an MSE of 0.09934, highlights the potential relationship between religion and voter participation. These findings suggest the need for further considerations in this context, as well as demonstrating the need for model adjustments to improve the accuracy of future election predictions.
ANALISIS SENTIMEN PENGGUNA APLIKASI SHOPEE PADA GOOGLE PLAY STORE MENGGUNAKAN METODE RANDOM FOREST Muhammad Zainal Abidin; Mochammad Alfan Rosid; Ade Eviyanti
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 4 No. 3 (2025): Agustus
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/storage.v4i3.6027

Abstract

Penelitian ini berfokus pada analisis sentimen untuk mengevaluasi kepuasan pelanggan terhadap aplikasi Shopee, dengan menggunakan komentar-komentar yang diunggah di Google Play Store sebagai sumber data utama. Sebanyak 5.000 data komentar dikumpulkan dalam rentang waktu yang relevan, yaitu dari Desember 2024 hingga Maret 2025. Metodologi yang diterapkan adalah klasifikasi dengan menggunakan algoritma Random Forest Classifier. Hasil analisis menunjukkan bahwa sentimen dominan yang diekspresikan oleh pengguna adalah positif, yang mengindikasikan tingkat kepuasan yang baik terhadap aplikasi tersebut. Model Random Forest yang digunakan berhasil mencapai nilai akurasi sebesar 88%. Angka ini menunjukkan bahwa algoritma tersebut cukup efektif dalam mengklasifikasikan sentimen komentar pengguna. Sebagai kontribusi utama, penelitian ini menyediakan wawasan terkini mengenai persepsi pelanggan berkat penggunaan data yang sangat baru. Temuan ini tidak hanya memvalidasi efektivitas Random Forest dalam tugas analisis sentimen, tetapi juga memberikan informasi berharga bagi pihak Shopee untuk memahami pandangan pengguna dan membuat keputusan strategis guna meningkatkan layanan.
IMPLEMENTASI BIM DENGAN TEKNOLOGI CLOUD COMPUTING PADA PROSES PEMBANGUNAN RSU DI SIDOARJO Rizki, M. Alvan; Eviyanti, Ade; Hermawan, Hendri; Lazuardi, Fajar; Pranatadityo, Billy
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 5 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i5.1944-1950

Abstract

Pembangunan Rumah Sakit Umum (RSU) sering menghadapi kendala dalam memahami dan menerapkan standar pembangunan yang sesuai dengan regulasi terbaru, seperti KRIS dan Permenkes No. 40 Tahun 2022. Pengabdian masyarakat ini bertujuan untuk meningkatkan efisiensi dan transparansi dalam proses pembangunan RSU melalui implementasi Building Information Management (BIM) berbasis Cloud Computing agar data didpatkan secara real-time. Metode yang digunakan meliputi pengumpulan data spesifikasi teknis RSU, sosialisasi penggunaan sistem cloud sebagai platform penyimpanan data, pemilihan Google Drive sebagai cloud serta penerapan fitur Google yang lain untuk proses tender terbuka. Hasilnya menunjukkan bahwa penggunaan teknologi cloud, terutama aplikasi gratis dan familiar, mampu meningkatkan aksesibilitas, keamanan, transparansi data tender dan efisien. Implementasi ini mendukung RSU dalam mematuhi standar regulasi dan meminimalkan risiko kesalahan selama proses pembangunan.
Co-Authors Abdiansah, Lutfi Abdul Haris Setya Nugraha Abror, M Abror, M. Achmad Alfian Fajriansyah Achmad Danu Zakaria Achmad Danu Zakaria Adam Putra Addriana Fatma Putri Indah Sari adham Adi Putra, Lutfi Adiffanani Ramdansyah Adilla Syafira Putri Adimas Priyambadha Agil Fajar Dwi Prasetyo Agus Miftakhurrohmat Agustin, Erlina Ahmad Muflih Aisha Hanif Alan Budi Kusuma Kusuma Aldo Ardiansyah Aliful Fatikh Pulunggono Suseta Alim, Kholqi Aminy, Ritzana Aisyah Ananda Firly Amelia Anang Tri Yuhono Andriani Eko Prihatiningrum Andrinai Eko Prihatiningrum Anggraeni, Anifah Warda Arif Senja Fitrani Arif Senja Fitrani Arif Senja Fitriani Arjuna Adlina Martha Ayu Anggilina Ayu Dwi Ratna Ningsih Azizah, Nurul Lutfi Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azinar Bisri, Muhammad Anhar Chulloh, Dafid Mizta Cindy Taurusta Cornelius, Cornelius Daffa Fauzanrio Iswinarko Damara, Rivaldi Garindra Damasta, Ifanda Reza Deby Kurniawan Armananda Diba, Naila Farah Dimas Bayu Anjasmara Dimas Sya’aldi Pasa Dini Aprilia Puspitasari Dini Yocta Prabayanti Dona Ardiansyah Donni Adeleo Ardana Dulkarnain, As’ad Dwi Cahyono, Qitfirul Erika Anjani Putri Eriyanto, Sandi Eko Erlina Agustin Fahrizal Arman Faiqotul Himma Ramadhanti Fanani, Muchammad Ichsanuddin Fandy Rachmatulloh Febri Rosita Dewi Feny Anggraeny Firmansah, Noval Firmanto fitria, Saniya Izza Fitriah Fitriah Fuad Azis Muslim Fungky Ariya Wardana Ghozali, M Fahruddin Ginanjar Agung Sudrajat Gita Wardani Gita Wardani Givari Eka Fajar Guko, William Yviis Habib Husain Amirullah Hamid, Moch Siddiq Hamza Setiawan Hamzah Setiawan Hazmi Ramadhan Al fatri Hendri Hermawan Hermawan, Tunggal Hibatullah Putra, Dimas Radito Hindarto Hindarto Hindarto Ika Ratna Ika Ratna Indra Astutik Imanda, Almyra Gitta Indah Kurniawati Indrawati, Marcella Irene Elvariani Dewanti Jamal Hasan khoirunnisa devita sari Kurnia Ningtiyas Lazuardi, Fajar Lola Herawati Luluk Asti Qomariah Luqmanul Hakiym Maulana M Fahruddin Ghozali Macfhul Indrakurniawan Makhfudzoh, Fury Maulana, Mahardika Rafi Ma’ruf , Mohammad Rizal Metatia Intan Mauliana Metatia Intan Mauliana Miftahurrohmat, A Miftakhurrohmat, A. Moch Alfan Rosyid Moch Siddiq Hamid Mochamad Alfan Rosid Mochammad Alfan Rosid Mochammad Raflie Lazuardi Moh. Attar Jibran Mohammad Fadli Zaka Mohammad Rizal Ma'ruf Muchammad Bagus Sasmita muchammad david mahendra Muchammad Issom Agustian Muhammad Abror Muhammad Alfin Firdiansyah Muhammad Alifiansyah Putra Muhammad Arif Fa’i Muhammad Arshiel Naufal Dzaki Muhammad Fajar Alfian Muhammad Farid Yuliansyah Muhammad Najih Fairuzzamani Muhammad Rozzaq Muhammad Syauqil Muhammad Zainal Abidin Nahriyan Zidan Bahar Rizqi Naila Adiba Naila Farah Diba Nanda Mujahidah Andini Naufal Raihan naufal Nella Prima Yeni Nila Sekardhani Hadian Nisa, Umi Khoirun Nouval Aulia Rachman Novia Ariyanti Nuril Lutvi Azizah Nurul amiroh Octavia, Elga Padova Bima Maldini Pranatadityo, Billy Prasetyana, Dwi Gilang Ramadhan Pratama, Hepi Yoga Pratama, Robby Pratiwi, Rosa Machmuda Putra F, M. Bagus Putra, Fariq Abdillah Maulana Putri, Revanda Silva Astianto Ratih Sri Yunarti Reyhan Haqiqi Alif Fourniawan Rizki, M. Alvan Rizky Budi Aprianto Rizky Rahmahdian Sandy Rohman Dijaya Rosydah Rihadhatu Aisyiyah Rukhi Alfian, Muhammad Sabilah, Hasya Saiful Arifin Saiful Arifin Salsabil, Muhammad Saputra, Abhirama Septya Bayu Andita Serlindha Tri Andini Shiddqy Hidayat, Syahril Shierly Mayco Angela Siti Nurjanah Ramadhany Steven Gerrard Suhendro Busno Suhendro Busono Sukma Aji Sumarno , Sumarno Sumarno . Sumarno Sumarno Suprianto Syahfrizka Dyah Nazwa Umbara Syaifudin, Hilmi Fajar Sylfanie Sekar Mayang Tasya Gusti Amalia Teguh Hardianto Putra Teguh Prasetyo Uce Indahyanti Umi Khoirun Nisak Vevy Liansari Vevy Liansari via nabila banda Viarini, Dina Dwi Okta Wardani, Gita Wijaya, Naufal Ariq Wijayanto, Moch Eri Witno, Kasaifi Al Qurdhowi Bin Wulandari, Alidza Septiam Yanita Wardhani Yulian Findawati Yunianita Rahmawati Yuzefa, Hihaniza Lela Zahputra, Aldy Trisza Zaka, Mohammad Fadli Zuyyina Fihayati