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All Journal Dinamisia: Jurnal Pengabdian Kepada Masyarakat JMM (Jurnal Masyarakat Mandiri) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Journal of Soft Computing Exploration Journal of Data Science Theory and Application Jurnal Informatika: Jurnal Pengembangan IT Journal of Applied Informatics Science
Hepatika Zidny Ilmadina
Politeknik Harapan Bersama
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Pemanfaatan Teknologi Informasi untuk Optimalisasi Dakwah Bagi Kader Nasyiatul Aisyiyah Bulakamba-Brebes Dyah Apriliani; Ginanjar Wiro Sasmito; Hepatika Zidny Ilmadina
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 5 (2022): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v6i5.7972

Abstract

Da'wah activities carried out "traditionally" have proven to be an intermediary tool for all people who wish to study and even deepen the religion of Islam. However, along with the development of information technology and the support of the internet, da'wah activities are presented in different ways / methods. These activities are channeled quickly using various online media platforms (in the network) such as preaching through video streaming, via YouTube, through social media (Twitter, Instagram, Facebook, and others) which can be watched repeatedly with large audiences. One of the uses of technology in preaching activities can be done by using smartphones in making interesting multimedia as a medium of preaching. Based on observations in the field, several problems faced by cadres Nasyiatul Aisyiyah Bulakamba-Brebes are that they do not have the understanding and use of information technology in supporting da'wah activities. Therefore, material is given about the importance of using information technology as a medium for da'wah in the era of the industrial revolution 4.0 as well as providing assistance in training in making da'wah media in the form of posters using the Canvas application and video editing using Kine Master. With this activity, the motivation, knowledge, and skills of Nasyiatul Aisyiyah Bulakamba-Brebes cadres in optimizing the use of information technology in da'wah activities will increase.
Drowsiness Detection Based on Yawning Using Modified Pre-trained Model MobileNetV2 and ResNet50 Hepatika Zidny Ilmadina; Muhammad Naufal; Dega Surono Wibowo
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 3 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i3.2785

Abstract

Traffic accidents are fatal events that need special attention. According to research by the National Transportation Safety Committee, 80% of traffic accidents are caused by human error, one of which is tired and drowsy drivers. The brain can interpret the vital fatigue of a drowsy driver sign as yawning. Therefore, yawning detection for preventing drowsy drivers’ imprudent can be developed using computer vision. This method is easy to implement and does not affect the driver when handling a vehicle. The research aimed to detect drowsy drivers based on facial expression changes of yawning by combining the Haar Cascade classifier and a modified pre-trained model, MobileNetV2 and ResNet50. Both proposed models accurately detected real-time images using a camera. The analysis showed that the yawning detection model based on the ResNet50 algorithm is more reliable, with the model obtaining 99% of accuracy. Furthermore, ResNet50 demonstrated reproducible outcomes for yawning detection, considering having good training capabilities and overall evaluation results.
Deteksi Pengendara Mengantuk dengan Kombinasi Haar Cascade Classifier dan Support Vector Machine Hepatika Zidny Ilmadina; Dyah Apriliani; Dega Surono Wibowo
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 1 (2022): JPIT, Januari 2022
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i1.3346

Abstract

Microsleep sering terjadi pada aktivitas kita tanpa disadari, terutama pada saat berkendara. Hal tersebut menjadi salah satu faktor penyebab kecelakaan yang diakibatkan kesalahan manusia seperti mengantuk, tidak fokus, dan kelelahan menyumbangkan porsi 61%, selain itu 9% dikarenakan faktor kendaraan, serta 30% disebabkan oleh faktor prasarana dan lingkungan. Beberapa teknik deteksi microsleep melalui kedipan mata telah dikembangkan antara lain menggunakan eye aspect ratio, yaitu thresholding manual dengan menetapkan detik minimal mata menutup/berkedip. Pada penelitian ini dilakukan deteksi pengendara mengantuk dengan kombinasi Haar Cascade yang mengklasifikasi wajah pengendara, serta metode Support Vector Machine yang mampu menentukan mata menutup dan membuka. Implementasi pada sistem deteksi pengendara mata mengantuk secara real time akurasi mencapai 99%. Penelitian ini diharapkan dapat membantu dalam mengurangi bahkan mencegah terjadinya kecelakaan yang disebabkan oleh microsleep yang dapat dideteksi secara dini melalui kedipan mata pengendara.
APLIKASI CHATBOT SEBAGAI PENUNJANG PROMOSI SEKOLAH Dyah Apriliani; Hepatika Zidny Ilmadina; Dairoh Dairoh; Sharfina Febbi Handayani
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 4 (2024): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i4.24274

Abstract

Abstrak: Kemajuan teknologi informasi dan komunikasi membantu penyaluran informasi di sektor pendidikan menjadi lebih efisien dan efisien. Teknologi kecerdasan buatan berupa chatbot hadir sebagai model interaksi manusia dan komputer yang semakin menyerupai komunikasi manusia. Kegiatan pengabdian ini bertujuan meningkatkan pengetahuan dan ketrampilan siswa dan guru dalam penerapan aplikasi chatbot berbasis Aritificial Intelligence (AI) dan Natural Language Processing (NLP) di SMK YPE Nusantara Slawi. Kegiatan pengabdian ini melibatkan 31 peserta yang terdiri dari 28 siswa dan 3 guru, pelaksanaan dilakukan melalui lima tahap, mulai dari pembuatan aplikasi, persiapan kegiatan, pretest, pelaksanaan kegiatan di sekolah, hingga postest. Tahap pembuatan aplikasi meliputi perancangan aplikasi chatbot sebagai alat penunjang promosi sekolah yang mengintegrasikan AI dan NLP. Persiapan kegiatan dilakukan dengan melakukan observasi dan penggalian data terkait kebutuhan informasi yang digunakan dalam membuat chatbot. Pretest mengungkap sebagian peserta belum familiar dengan konsep chatbot dan AI. Selama pelaksanaan kegiatan, chatbot menjadi fokus utama, membahas peran inovatifnya dalam meningkatkan efisiensi penyebaran informasi sekolah. Hasil postest menunjukkan peningkatan pemahaman peserta terhadap penerapan aplikasi chatbot dan AI sebesar 81%. Kesimpulannya, PKM ini sukses meningkatkan efisiensi informasi, keterlibatan guru dan siswa, serta citra sekolah melalui pemanfaatan aplikasi chatbot yang inovatif.Abstract: Advancements in information technology and communication have made the dissemination of information in the education sector more efficient and effective. Artificial intelligence technology in the form of chatbots has emerged as a model for human-computer interaction that increasingly resembles human communication. This community service aims to enhance the efficiency of information dissemination at SMK YPE Nusantara Slawi through the implementation of an AI-based chatbot application and NLP. The activity involved 31 participants, consist of 28 students and 3 teachers, and was carried out in five stages, starting from application development, activity preparation, pre-test, implementation at the school, and post-test. The application development stage included designing a chatbot application to support school promotion, integrating AI and NLP. Activity preparation involved observing and gathering data on the information needs for creating the chatbot. The pre-test revealed that some participants were not familiar with the concepts of chatbots and AI. During the implementation phase, the focus was on the chatbot's innovative role in improving the efficiency of school information dissemination. The post-test results showed an 81% increase in participants' understanding of chatbot and AI application. In conclusion, this Community Service successfully increased information efficiency, active engagement of teachers and students, and improved the school's image through the utilization of an innovative chatbot application.
Apache web server security with security hardening Wibowo, Dega Surono; Ilmadina, Hepatika Zidny; Ardi, Ardi Susanto; Insani, Fariq Fadillah Gusti
Journal of Soft Computing Exploration Vol. 4 No. 4 (2023): December 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v4i4.230

Abstract

With the internet network, we can quickly get information very quickly. The information we get is not changed by people not authorized to access the system or platform. Apache is a web server often used to connect users with websites where the information is located. The more users there are, the more crimes there will be when attacking the web server by irresponsible people. Due to limited time for web administrators, to improve the security of the Apache web server, an intrusion detection system is needed that can help monitor network traffic and detect the type of attack that is occurring and then forward the notification to the mobile application in real-time, because attacks can occur at any time. Intrusion Detection is one implementation of the security hardening method for the software hardening category. The results of this research will be that the system will detect intrusion attempts based on the rules created, and users will receive notifications to the Telegram application and can see details of incoming reports such as the attacker's I.P. address, description of the intrusion, name of the security hole, time of intrusion, and payload used.
CesLA (Cegah Stunting Lewat Anemia): Deteksi Anemia Non-Invasif pada Remaja Putri Berbasis Citra Konjungtiva Ilmadina, Hepatika Zidny; Nisa, Juhrotun; Apriliani, Dyah; Anisa, Lulu Nadhiatun; Rakhmah, Firda Aulia
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 3 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i3.8873

Abstract

Stunting is a chronic nutritional problem that will directly affect the quality of human resources in the future. One of the contributing factors to stunting is anemia during pregnancy, which often originates from adolescence. Early detection of anemia in women of reproductive age is a crucial preventive measure to reduce the risk of stunting. This study aims to develop an anemia classification model based on conjunctival images using a combination of MobileNetV2 architecture and Support Vector Machine (SVM), and to implement the model into a mobile application named CeSLA (Cegah Stunting Lewat Anemia). The model was built using a dataset of female conjunctival images annotated based on haemoglobin levels and visual characteristics of the conjunctiva. Evaluation results explain that the model achieved precision, recall, and f1-score values ranging from 0.91 to 0.92 for each class, with a macro average of 0.92, indicating accurate and balanced classification performance. The trained and evaluated model was then integrated into the CeSLA mobile application. This application allows users, particularly adolescent girls, to detect potential anemia non-invasively by scanning the lower eyelid using a smartphone camera. CeSLA is also equipped with educational features such as health articles and a detection history log. With this approach, CeSLA is expected to serve as an innovative solution that supports early, self-administered anemia detection and contributes to the national effort to prevent stunting.
PEMANFAATAN ARTIFICIAL INTELLIGENCE UNTUK MENUNJANG PROSES BELAJAR SISWA: STUDI KASUS PENGGUNAAN GENERATIVE PRE-TRAINED TRANSFORMER SEBAGAI ASISTEN PEMBELAJARAN Apriliani, Dyah; Ilmadina, Hepatika Zidny; Hidayatullah, Muhammad Fikri; Sasmito, Ginanjar Wiro; Saputri, Berliani Risqi Dwi; Haqqani, Humam Asathin
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 2 (2025): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i2.29605

Abstract

Abstrak: Perkembangan teknologi kecerdasan buatan (AI) menawarkan potensi besar dalam mendukung proses pembelajaran di berbagai institusi pendidikan, termasuk SMK Darussalam Balapulang. Pemanfaatan AI, khususnya Generative Pre-trained Transformer (GPT), masih terbatas karena rendahnya pemahaman, keterbatasan pelatihan, dan infrastruktur yang belum memadai. Melalui program pengabdian masyarakat, dilaksanakan pelatihan interaktif untuk meningkatkan pemahaman siswa dan guru mengenai teknologi GPT serta aplikasinya dalam pembelajaran. Metode pelaksanaan terdiri dari ceramah untuk pemaparan materi dan praktikum setelah siswa memperoleh pemahaman dasar. Kegiatan diawali dengan pre-test untuk mengukur pengetahuan awal siswa tentang AI. Setelah itu, materi disampaikan melalui ceramah interaktif, diikuti sesi praktikum di mana siswa langsung mencoba penggunaan GPT untuk tugas akademik seperti menyusun ringkasan dan mencari solusi masalah akademik. Evaluasi dilakukan melalui post-test untuk mengetahui peningkatan pemahaman. Hasil pelatihan menunjukkan peningkatan signifikan dengan nilai rata-rata pre-test 46,25 menjadi 91,25 pada post-test. Implementasi GPT terbukti meningkatkan efisiensi pembelajaran serta mempersiapkan siswa menghadapi dunia kerja berbasis teknologi. Program ini berkontribusi pada peningkatan kualitas pendidikan di SMK Darussalam Balapulang.Abstract: The development of artificial intelligence (AI) technology offers great potential to support the learning process in various educational institutions, including SMK Darussalam Balapulang. The use of AI, particularly Generative Pre-trained Transformer (GPT), remains limited due to a lack of understanding, insufficient training, and inadequate infrastructure. Through a community service program, an interactive training session was conducted to enhance students' and teachers' understanding of GPT technology and its applications in education. The implementation method consisted of lectures for material presentation and practical sessions after students had acquired essential knowledge. The activity began with a pre-test to assess students' initial knowledge of AI. Then, the material was delivered through an interactive lecture, followed by a practical session where students directly experimented with GPT for academic tasks such as summarizing texts and solving academic problems. Evaluation was carried out through a post-test to measure the improvement in understanding. The training results showed a significant increase, with the average pre-test score rising from 46.25 to 91.25 in the post-test. Implementing GPT has enhanced learning efficiency and prepared students for a technology-driven workforce. This program contributes significantly to improving the quality of education at SMK Darussalam Balapulang.
PERANCANGAN APLIKASI NAVIGASI ADAPTIF UNTUK TUNANETRA MENGGUNAKAN METODE OBJECT ORIENTED Hidayah, Arif; Zidny Ilmadina, Hepatika; Risqi Dwi Saputri, Berliani
Journal of Data Science Theory and Application Vol. 4 No. 2 (2025): JASTA
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/za8nv750

Abstract

Penyandang tunanetra menghadapi tantangan signifikan dalam navigasi mandiri, di mana alat bantu konvensional seperti tongkat putih memiliki keterbatasan dalam memberikan informasi lingkungan yang kontekstual. Penelitian ini bertujuan untuk menyajikan sebuah perancangan arsitektur perangkat lunak yang komprehensif untuk aplikasi navigasi asistif pada smartphone. Metode perancangan yang digunakan adalah Analisis dan Desain Berorientasi Objek (OOAD) yang divisualisasikan menggunakan Unified Modeling Language (UML). Sistem yang dirancang mengintegrasikan tiga teknologi utama: deteksi objek real-time dengan model YOLO, estimasi jarak menggunakan metode kesebangunan segitiga, dan umpan balik audio yang intuitif. Hasil dari penelitian ini adalah sebuah model sistem yang utuh, terdiri dari Use Case, Activity, Sequence, dan Class Diagram, yang berfungsi sebagai cetak biru (blueprint) fundamental. Model ini menunjukkan arsitektur yang modular dan terstruktur, yang dapat memfasilitasi implementasi aplikasi navigasi yang andal dan informatif bagi komunitas tunanetra.
Workshop Measuring Training to improve the Basic Engineering Competence of LPK. Bintang Manufaktur Tegal Indonesia students: Diklat Measuring untuk meningkatkan Kompetensi Basic Engineering Siswa LPK. Bintang Manufaktur Tegal Indonesia Syarifudin, Syarifudin; Fatkhurrozak, Faqih; Sanjaya, Firman Lukman; Hendrawan, Andre Budhi; Zidni, Hepatika; Yohana, Eflita; Saptaryani, Titiek Deasy
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 3 (2025): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v9i3.14257

Abstract

Vocational High School (SMK) graduates are the biggest contributor to the unemployment rate. The Tegal Indonesia Bintang Manufaktur Job Training Institute helps increase the knowledge and skills of participants who incidentally are class XII SMK. Class XII who graduate in 2023 will certainly have low knowledge and competence because of the learning method used online (Covid-19 pandemic policy). The community service program (PKM) aims to strengthen basic competence, especially measuring. The method used is Training which is held for three days (20-22 March 2023). The results of PKM presented increase in measuring competency of 95.38% from 32 participants. Through the free test conducted at the beginning and the Post test at the end of the activity, measuring competence has been optimal as reflected in the practical implementation of Quality control
A Web-Based Chatbot-Integrated Application for Skin Disease Detection Using ResNet50 Architecture Naovi Magfiroh; Sasmito, Ginanjar Wiro; Ilmadina, Hepatika Zidny
Journal of Applied Informatics Science Volume 1 Issue 1 (2025)
Publisher : GWS Group

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

Abstract

The skin is a vital human organ located on the outermost part of the body and is vulnerable to various external stimuli and diseases. The high prevalence of skin diseases in Indonesia indicates a lack of public awareness regarding skin health. This study aims to develop a web-based application capable of detecting 10 types of skin diseases quickly and accurately using the ResNet50 architecture and computer vision technology. The research stages include the creation of a Haar Cascade Classifier, developing an image classification model, model evaluation, chatbot development, system design, implementation, and application testing. The results show that the model achieved an accuracy of 90.10% on the training data and 89.06% on the validation data. The integrated chatbot also provided additional information with a response accuracy of 87.50%. System testing demonstrated good performance based on black-box testing and scored 77.625 on the System Usability Scale (SUS), which falls into the "Good" category. This application can detect early skin disease without requiring direct consultation with a doctor.
Co-Authors Ahmad Maulana Anisa, Lulu Nadhiatun Ardi, Ardi Susanto Arif Hidayah Dairoh Dairoh Dega Surono Wibowo Dega Surono Wibowo Dega Surono Wibowo, Dega Surono Dyah Apriliani Dyah Apriliani Dyah Apriliani Eflita Yohana Fatkhurrozak, Faqih Ginanjar Wiro Sasmito Ginanjar Wiro Sasmito, Ginanjar Wiro Haqqani, Humam Asathin Hendrawan, Andre Budhi Hidayatullah, Muhammad Fikri Insani, Fariq Fadillah Gusti Juhrotun Nisa, Juhrotun Muhammad Naufal Naovi Magfiroh Rakhmah, Firda Aulia Risqi Dwi Saputri, Berliani Sanjaya, Firman Lukman Saptaryani, Titiek Deasy Saputri, Berliani Risqi Dwi Sharfina Febbi Handayani Syarifudin Syarifudin