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All Journal Sainteks Jurnal Teknologi dan Manajemen Informatika Jurnal Informatika Telematika SMATIKA Jurnal Ilmiah KOMPUTASI Jurnal Pendidikan Informatika dan Sains INTEGER: Journal of Information Technology JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Teknoinfo Martabe : Jurnal Pengabdian Kepada Masyarakat Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika JSAI (Journal Scientific and Applied Informatics) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer System and Informatics (JoSYC) Infotek : Jurnal Informatika dan Teknologi Indonesian Journal of Cultural and Community Development Community Empowerment Jurnal Abdimas Serawai Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Bulletin of Computer Science Research Indonesian Journal of Innovation Studies Indonesian Journal of Public Policy Review Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Prosiding University Research Colloquium Malcom: Indonesian Journal of Machine Learning and Computer Science JOINCS (Journal of Informatics, Network, and Computer Science) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer SAGA: Journal of Technology and Information Systems "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Innovative Technologica: Methodical Research Journal Physical Sciences, Life Science and Engineering Indonesian Journal of Applied Technology Journal of Social Comunity Services Journal of Technology and System Information Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal for Technology and Science semanTIK Jurnal Farmasi Galenika IJHCS Smatika Jurnal : STIKI Informatika Jurnal Academia Open
Ade Eviyanti
Informatika, Fakultas Sains Dan Teknologi, Universitas Muhammadiyah Sidoarjo, Indonesia
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APLIKASI PENCEGAH PENIPUAN JUAL BELI AKUN MOBILE LEGENDS BERBASIS MOBILE MENGGUNAKAN FRAMEWORK FLUTTER Agil Fajar Dwi Prasetyo; Ade Eviyanti; Metatia Intan Mauliana
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1168

Abstract

The internet is a phenomenon in today's era, serving not only as a medium for information sharing but also permeating the realm of online gaming, particularly Mobile Legends. This online game, playable even on low specifications, offers not only pure entertainment but also a potential avenue for trade. However, this situation can give rise to fraudulent activities due to Mobile Legends' "hackback" feature, wherein sellers can reclaim the accounts they have sold to customers. To address these issues, the researcher has developed an application that can blacklist game IDs involved in fraudulent activities, thus preventing recurring scams. In the User Acceptance Testing (UAT), this application scored 86%, falling within the "strongly agree" range. It is hoped that this application will assist parties engaged in account transactions, protecting them from unscrupulous entities and mitigating potential losses.
Aplikasi Keamanan Berkas dengan Enkripsi AES dan Biometrik Sidik Jari Berbasis Android Habib Husain Amirullah; Ade Eviyanti; Sumarno Sumarno
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 01 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i01.1130

Abstract

Data security in the current digital era has become critically important. Data and digital document thefts continue to occur, with an average cost of $3.86 million due to data breaches in 2018. To tackle this challenge, cryptography, particularly encryption, has become a key element in maintaining data confidentiality and integrity. The Advanced Encryption Standard (AES) has become the global standard for preserving data confidentiality by transforming data into a form that is difficult to decipher without the correct key. However, AES security relies heavily on the strength of the key used, posing risks of weak keys and potential negligence. This research aims to address these issues by combining AES-128 as the encryption algorithm and fingerprint-based authentication to enhance security access. The use of fingerprint biometric verification provides a user-friendly layer of security. The application was tested using Automated Testing, which is a method for testing a system using a series of scripts. The test results demonstrate that by combining the latest encryption technology and biometric authentication, this research successfully developed an application capable of encrypting data using the AES algorithm and integrating it with BiometricPrompt. The outcome is an improved level of data security in this digital era.
Implementasi Convolutional Neural Network (CNN) Untuk Mendeteksi Ujaran Kebencian Dan Emosi Di Twitter Nanda Mujahidah Andini; Yulian Findawati; Ika Ratna Indra Astutik; Ade Eviyanti
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 02 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i02.1346

Abstract

The research aims to develop an accurate and efficient hate speech detection model on Twitter's social media platform by leveraging the power of the Convolutional Neural Network. (CNN). The focus of this research is on identifying hate speeches that are loaded with negative sentiment, especially those related to racial, religious, and sexual orientation issues in the context of the Indonesian language. The research process involved collecting relevant Twitter datasets, preprocessing text to clear and compile data, and word representation using Word2Vec to capture contextual meanings. Specifically designed CNN models are then trained on that dataset. CNN's advantages in automatically extracting semantic features from text, coupled with the use of Word2Vec, allow the model to have high accuracy, which is 87%-99% for emotional assessment and 99% for hate speech assessment. This makes the model very effective in detecting subtle patterns in language that indicate the presence of hate speech. This research has made a significant contribution to the development of a better content moderation system on social media. With its ability to detect hate speech in real time, the model can help create a safer and more inclusive online environment. However, this research still has some limitations, such as limited data set size and variations of hate speech that are not fully represented. Therefore, further research is needed to overcome these limitations and improve the performance of the model.
Inovasi Aplikasi Sistem Informasi Laundry Sepatu Dengan Menggunakan Metode Waterfall Nahriyan Zidan Bahar Rizqi; Sumarno Sumarno; Ade Eviyanti; Nuril Lutvi Azizah
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 02 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i02.1366

Abstract

The method of checking shoe clothing carried out by most clients is still conventional. Clients still got to check with the shoe clothing put to begin with. With this strategy, there are still a few issues that happen, particularly the time and vitality went through in carrying out the checking prepare gets to be incapable and wasteful. This inquire about points to plan and construct a web-based data framework utilizing the Waterfall strategy. The data framework that has been built can fathom and give development for issues that happen with respect to checking shoes that have not been or have been prepared rapidly and make it less demanding for clients to get data almost the shoe clothing process via the net. The data framework is outlined based on the stages contained within the Waterfall strategy. In the mean time, the data framework improvement handle employments the Visual Code Studio application and MySQL database.
Pengembangan Aplikasi Pengenalan Wisata Berbasis Android Menggunakan Flutter Syaifudin, Hilmi Fajar; Eviyanti, Ade; Rosid, Mochamad Alfan
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 12, No 3: Desember 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v12i3.1737

Abstract

This research was conducted to address the issue of a lack of tourist interest in the Majapahit heritage sites in the Trowulan District. With the aim of facilitating the public in finding information about the locations of Majapahit heritage tourism, this study employed the waterfall development method for the Flutter-based Tourism Recognition Application. The black box testing results indicated that the application successfully provided a comprehensive evaluation of feature suitability and system performance, particularly in enhancing the appeal of historical Majapahit tourism sites. The application is expected to be an effective tool for expanding promotion, increasing visibility, and attracting tourist interest, contributing positively to the advancement of the local tourism sector in this digital era.Key word: Promotion media; Tour; Majapahit kingdom; Flutter; Black Box Testing AbstrakPenelitian ini dilakukan untuk mengatasi masalah kurangnya minat wisatawan terhadap wisata peninggalan Majapahit di Kecamatan Trowulan. Dengan tujuan mempermudah masyarakat dalam mencari informasi tentang lokasi-lokasi wisata peninggalan Majapahit, penelitian ini menggunakan metode pengembangan waterfall pada Aplikasi Pengenalan Wisata berbasis Flutter. Hasil pengujian black box menunjukkan bahwa aplikasi ini berhasil memberikan evaluasi kesesuaian fitur dan kinerja sistem, khususnya dalam meningkatkan daya tarik pariwisata dengan fokus pada objek wisata sejarah Majapahit. Aplikasi ini diharapkan dapat menjadi alat efektif untuk memperluas promosi, meningkatkan visibilitas, dan mengajak minat wisatawan, memberikan kontribusi positif dalam memajukan sektor pariwisata lokal di era digital ini. 
Aplikasi Go Tour Sekitar Tugu Yogyakarta Berbasis Augmented Reality Putri, Revanda Silva Astianto; Rahmawati, Yunianita; Busono, Suhendro; Eviyanti, Ade
Jurnal Teknologi dan Manajemen Informatika Vol. 9 No. 2 (2023): Desember 2023
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v9i2.10587

Abstract

The Covid pandemic has impacted the tourism industry in Central Java Province, resulting in a decrease in the number of tourists. This research aims to create an application as an information media using Augmented Reality technology and developed through SketchUp, combining text, audio, and images. This application serves as an information source for the Tugu Yogyakarta tourist attraction and its surrounding areas in Central Java. Additionally, it also serves as an alternative to introduce tourist attractions to both the local and non-local communities in and outside of Central Java Province. The application utilizes the Marker Based Tracking method. The research output is an Augmented Reality application for information media that displays 4 tourist attractions, with audio-based information for each attraction. The testing scenario is conducted using the black box testing method (testing the system or its features). Based on the response evaluation, it can be concluded that this information media is considered suitable with a percentage of 94.8%. Therefore, this application can be used as an effective information media.
Penerapan Algoritma Convolutional Neural Networks untuk Pengenalan Tulisan Tangan Aksara Jawa: Implementation of Convolutional Neural Networks Algorithm for Javanese Handwriting Recognition Abdiansah, Lutfi; Sumarno, Sumarno; Eviyanti, Ade; Azizah, Nuril Lutvi
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 2 (2025): MALCOM April 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i2.1814

Abstract

Aksara Jawa adalah sistem tulisan tradisional yang dulunya banyak digunakan di Jawa Timur dan Jawa Tengah, terdiri dari 20 huruf utama serta beberapa atribut tambahan. Namun, penggunaannya dalam kehidupan sehari-hari semakin berkurang. Penelitian ini bertujuan mengembangkan sistem pengenalan aksara Jawa menggunakan Convolutional Neural Network (CNN) sebagai upaya pelestarian. Dataset yang digunakan mencakup 1000 citra tulisan tangan aksara Jawa, dengan 700 citra untuk pelatihan dan 300 citra untuk validasi. Proses penelitian meliputi pengumpulan data, preprocessing, pembangunan arsitektur CNN, dan evaluasi model. Arsitektur CNN dirancang untuk menangkap fitur utama aksara, termasuk membedakan huruf yang memiliki kemiripan visual. Hasil evaluasi menunjukkan performa yang baik, dengan akurasi mencapai 99,83% pada pengenalan aksara yang diinputkan, serta grafik akurasi dan loss yang konsisten antara data pelatihan dan validasi. Temuan ini menunjukkan bahwa CNN memiliki potensi besar dalam pengenalan aksara Jawa, meskipun optimasi lebih lanjut tetap diperlukan untuk meningkatkan akurasi dan efisiensi sistem guna mendukung penerapannya secara lebih luas.
EMPOWERING SELF-RELIANCE FOR FOOD SECURITY WITH AISYIYAH SIDOARJO IN LIMITED LAND UTILIZATION Abror, M; Eviyanti, Ade; Miftahurrohmat, A
Journal of Social Comunity Services Vol. 2 No. 2 (2025): Journal of Social Community Service
Publisher : Antis-publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51699/jscs.v2i2.311

Abstract

Objective: This study aims to enhance food security by empowering the members of Pimpinan Daerah Aisyiyah (PDA) Sidoarjo through the utilization of narrow land for sustainable agriculture. Many Aisyiyah members possess home yards or small plots of land that remain underutilized, necessitating an intervention to promote efficient land use practices. Method: The program involved a series of activities, including socialization, training, and mentoring on various urban farming techniques such as polybag cultivation, hydroponics, and verticulture. These approaches were introduced to facilitate knowledge transfer and ensure the proper cultivation of organic crops through hands-on learning. Results: The implementation of hydroponic and organic farming methods was successfully adopted by Aisyiyah members, leading to an increase in household-scale agricultural productivity. Participants were able to cultivate crops until harvest, demonstrating the effectiveness of the provided training. Moreover, they developed the capability to create planting media and produce liquid organic fertilizers independently, reinforcing sustainable agricultural practices. Novelty: This initiative integrates community-based empowerment with technological advancements in urban farming, specifically targeting women-led organizations in the context of food security. The combination of hydroponic cultivation, organic farming, and independent fertilizer production offers a replicable model for optimizing land use in urban and peri-urban settings.
Pelatihan E-Modul Flipbook Multimedia Bagi Guru SMK di Sidoarjo Nuril Lutvi Azizah; Ade Eviyanti; Vevy Liansari; Gita Wardani; Naila Adiba
Jurnal Abdimas Indonesia Vol. 4 No. 3 (2024): Juli-September 2024
Publisher : Perkumpulan Dosen Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53769/jai.v4i3.1017

Abstract

SMK Muhammadiyah 2 Taman Sidoarjo mempunyai jurusan Multimedia yang memerlukan pengembangan dalam peningkatan kualitas pembelajaran mengenai desain dan animasi. Sebanyak 70% Guru-guru di SMK Muhammadiyah 2 Taman mempunyai keterbatasan dalam bidang multimedia sehingga dibutuhkan pelatihan untuk pengembangan pembelajaran multimedia agar lebih menarik, inovatif dan interaktif. Pelatihan e-modul flipbook merupakan inovasi baru dalam pengembangan pembelajaran multimedia dimana e-modul ini dapat diakses oleh peserta dimanapun dan kapanpun sesuai dengan kebutuhan. Kegiatan pelatihan telah dilaksanakan dengan peserta sebanyak 35 orang terdiri dari 28 guru, 4 tenaga kependidikan dan 3 mahasiswa, dimana pada saat pelatihan tiap peserta dikelompokkan antara 2-3 peserta sesuai dengan mata pelajaran yang diampu atau sesuai dengan bidang keahlian. Pelatihan dilakukan selama 3 hari, dan pada saat sesi terakhir pertemuan guru membuat dan mengumpulkan bahan ajar digital sesuai dengan bidang ilmu masing-masing guru. Manfaat yang diperoleh dalam pelatihan ini yaitu terjadinya peningkatan dalam aspek manajemen sebanyak 74,52%, dimana peserta guru SMK Muhammadiyah 2 Taman Sidoarjo merasa lebih siap dalam membuat bahan ajar digital secara mandiri, lebih menarik, dan interaktif.
Deteksi Dini Penyakit Kekurangan Gizi (Stunting) Berbasis Web menggunakan Metode Certainty Factor Efiyanti, Ade; Nisa, Umi Khoirun; Hindarto, Hindarto; Indrawati, Marcella; Wulandari, Alidza Septiam
Sainteks Vol. 21 No. 2 (2024): Oktober
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/sainteks.v21i2.23845

Abstract

Stunting merupakan kondisi di mana tinggi badan anak lebih rendah dari standar usianya, biasanya disebabkan oleh kekurangan gizi kronis. Stunting merupakan indikator masalah kesehatan yang serius karena mempengaruhi pertumbuhan fisik dan perkembangan kognitif anak. Sistem pakar deteksi dini stunting merupakan program komputer yang dirancang untuk membantu dalam identifikasi dan penanganan masalah gizi pada anak secara cepat dan akurat. Sistem ini memanfaatkan pengetahuan dari ahli gizi, dokter anak untuk memberikan saran berdasarkan gejala, data antropometri, dan faktor risiko lainnya. Metode yang digunakan dalam sistem pakar ini adalah metode Certainty Factor. Hasil dari penelitian ini adalah aplikasi sistem pakar untuk mendiagnosis stunting dan penyakit gizi buruk lainnya berbasis web. Hasil perhitungan pada penelitian ini dapat diketahui bahwa sistem pakar memiliki akurasi yang cukup tinggi dalam mencerminkan preferensi pakar, yaitu 90,91%.
Co-Authors Abdiansah, Lutfi Abdul Haris Setya Nugraha Abror, M Abror, M. Achmad Alfian Fajriansyah 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 Aldo Ardiansyah Aliful Fatikh Pulunggono Suseta Alim, Kholqi Aminy, Ritzana Aisyah Andriani Eko Prihatiningrum Andrinai Eko Prihatiningrum Anggraeni, Anifah Warda Arif Senja Fitrani Arif Senja Fitriani Ayu Anggilina Ayu Dwi Ratna Ningsih Azizah, Nurul Lutfi Azmuri Wahyu Azinar Bisri, Muhammad Anhar Chulloh, Dafid Mizta 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 Faiqotul Himma Ramadhanti Fanani, Muchammad Ichsanuddin Fandy Rachmatulloh Febri Rosita Dewi Feny Anggraeny Firmansah, Noval fitria, Saniya Izza Fitriah Fitriah Fuad Azis Muslim Ghozali, M Fahruddin Ginanjar Agung Sudrajat Gita Wardani 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 Jamal Hasan khoirunnisa devita sari Lazuardi, Fajar Lola Herawati Luqmanul Hakiym Maulana M Fahruddin Ghozali Macfhul Indrakurniawan Makhfudzoh, Fury Maulana, Mahardika Rafi Ma’ruf , Mohammad Rizal 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 Muhammad Abror Muhammad Alfin Firdiansyah Muhammad Alifiansyah Putra Muhammad Arif Fa’i Muhammad Arshiel Naufal Dzaki Muhammad Fajar Alfian Muhammad Farid Yuliansyah Muhammad Rozzaq Muhammad Zainal Abidin Nahriyan Zidan Bahar Rizqi Naila Adiba Nanda Mujahidah Andini Naufal Raihan naufal Nila Sekardhani Hadian Nisa, Umi Khoirun Nouval Aulia Rachman Novia Ariyanti 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 Reyhan Haqiqi Alif Fourniawan Rizki, M. Alvan Rohman Dijaya 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 Syaifudin, Hilmi Fajar Sylfanie Sekar Mayang Tasya Gusti Amalia Taurusta, Cindy 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