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All Journal Teknika ELEKTRO SAMUDERA RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Techno Nusa Mandiri : Journal of Computing and Information Technology METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Building of Informatics, Technology and Science Jurnal Vokasi JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Ners Jurnal Tekinkom (Teknik Informasi dan Komputer) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) International Journal of Engineering, Science and Information Technology International Journal of Research in Vocational Studies (IJRVOCAS) TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Terapan and Sains 4.0 Journal of Mathematics Instruction, Social Research and Opinion Journal of Advanced Computer Knowledge and Algorithms Jurnal Solusi Masyarakat Dikara INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) ITEJ (Information Technology Engineering Journals)
Eva Darnila
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Pencegahan KBGO Guna Membangun Ruang Aman Digital Bagi Anak & Perempuan Muslim di Era Society 5.0 Cindenia Puspasari; Eva Darnila; Widyana Verawaty Siregar; Ade Muana Husniati; Ainol Mardhiah
Jurnal Solusi Masyarakat Dikara Vol 5, No 3 (2025): Desember 2025
Publisher : Yayasan Lembaga Riset dan Inovasi Dikara

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Abstract

Artikel ini membahas tentang pencegahan Kekerasan Berbasis Gender Online (KBGO) sebagai upaya membangun ruang aman digital bagi anak dan perempuan di era Society 5.0, di mana teknologi seperti AI, IoT, dan big data dimanfaatkan untuk menyelesaikan masalah sosial sambil menempatkan manusia sebagai pusatnya. KBGO, sebagai bentuk kekerasan gender yang difasilitasi teknologi (menurut UN Women), mencakup pelecehan online, revenge porn, doxxing, cyberstalking, deepfake pornography, dan hate speech berbasis gender. Dampaknya merusak kesehatan mental korban, terutama generasi muda, serta memperburuk ketidaksetaraan gender dan menghambat partisipasi perempuan di ruang digital. Di Indonesia, kasus KBGO melonjak dan didominasi penyebaran konten intim non-konsensual. Upaya anti-KBGO meliputi strategi edukasi kampanye #AwasKBGO oleh SAFENet, Kampanye 16 Hari Anti Kekerasan Terhadap Perempuan (16 HAKTP) yang diperingati 25 November-10 Desember, serta inisiatif pemerintah melalui KemenPPPA, Komnas Perempuan, dan regulasi seperti UU ITE. Artikel ini berbasis pengabdian masyarakat di Universitas Malikussaleh menggunakan teknik PAS (Problem-Agitate-Solution) untuk edukasi. Strategi pencegahan mencakup edukasi kesadaran masyarakat tentang consent dan etika digital, dukungan korban melalui laporan dan konsultasi psikologis, peran platform digital dalam deteksi konten berbahaya, serta kolaborasi multi-pihak untuk transformasi budaya. Gerakan ini tidak hanya melindungi korban, tetapi juga membangun akhlak generasi muda menuju Indonesia Emas 2045 yang inklusif dan bebas diskriminasi, dengan ajakan aktif melaporkan kasus ke lembaga terkait.
Implementasi Media Augmented Reality dalam Pembelajaran Materi Digital pada Mahasiswa Semester II Teknik Informatika UNIMAL Eva Darnila; Cindenia Puspasari; Fadlisyah Fadlisyah
Jurnal Solusi Masyarakat Dikara Vol 5, No 3 (2025): Desember 2025
Publisher : Yayasan Lembaga Riset dan Inovasi Dikara

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Implementasi media Augmented Reality (AR) sebagai inovasi pembelajaran pada mata kuliah materi dasar digital untuk mahasiswa semester 2 Program Studi Teknik Informatika Universitas Malikussaleh. Teknologi AR digunakan untuk menghadirkan visualisasi tiga dimensi pada konsep-konsep digital yang bersifat abstrak, seperti sistem bilangan, gerbang logika, aljabar Boolean, peta Karnaugh, dan rangkaian flip-flop. Penggunaan AR memungkinkan mahasiswa berinteraksi langsung dengan objek 3D sehingga proses pemahaman materi menjadi lebih konkret, menarik, dan mudah dipahami. Metode pelaksanaan kegiatan meliputi penyampaian materi teori mengenai konsep dasar digital dan prinsip kerja AR, bimbingan praktik menggunakan aplikasi AR berbasis marker-based tracking, serta evaluasi yang dilakukan melalui angket skala Likert dan observasi. Instrumen penilaian difokuskan pada aspek pemahaman, motivasi belajar, tampilan visual, dan interaktivitas dalam proses pembelajaran. Hasil implementasi menunjukkan bahwa 40 mahasiswa yang terlibat memberikan respons positif terhadap penggunaan AR, dengan nilai rata-rata penilaian berada pada kategori baik hingga sangat baik. Mahasiswa terlihat lebih aktif, antusias, dan mampu menghubungkan teori dengan praktik melalui eksplorasi objek 3D. Visualisasi AR yang jelas dan fitur interaktif seperti rotasi, zoom in, dan zoom out membantu memperkuat pemahaman konsep digital yang sebelumnya sulit dibayangkan melalui metode konvensional. Secara keseluruhan, AR terbukti efektif sebagai media pembelajaran yang inovatif, interaktif, dan mampu meningkatkan kualitas pembelajaran materi dasar digital di Perguruan Tinggi.
Virtual Tour Application for Cultural Heritage in North Aceh Regency using Augmented Reality Technology Melly Yani Melly; Eva Darnila; Maryana
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/3s7wyh46

Abstract

Cultural heritage refers to historical objects that must be preserved through protection, development, and utilisation. In North Aceh Regency, cultural heritage preservation faces challenges such as low interest among younger generations and the lack of interactive learning media. This study aims to design a virtual tour application using Augmented Reality (AR) and Geographic Information System (GIS) technologies as an interactive medium to digitally introduce cultural heritage sites. Data were collected from the Department of Education and Culture of North Aceh and through direct observation and documentation in the field. The application integrates AR features to display 3D cultural objects and GIS to present the geographical locations accurately. The development includes user interface design, motion-based navigation, and historical information panels. Testing results show that all markers successfully displayed 3D objects with an average detection time of 3.58 seconds, a detection distance of 75.71 cm, and a rotation angle of up to 360°. The objects appeared stable, and the historical information was well presented. The main contribution of this study is the implementation of AR technology in the local context of North Aceh, which has rarely been applied. Limitations include the small number of heritage sites and testing limited to a few AR devices. Future research is recommended to expand site coverage, improve device compatibility, and add gamification features to enhance user engagement.
Implementation of an Artificial Neural Network Algorithm for Mental Illness Virtual Assistant Chatbot Development Muhammad iqbal; eva darnila; risawandi
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/wkj2ks31

Abstract

Mental health is a critical issue in modern society, yet access to psychological support remains limited. This study presents the development of a chatbot as a virtual assistant for individuals experiencing mental illness using the Artificial Neural Network (ANN) algorithm. The dataset was manually constructed and divided using an 80:20 ratio for training and testing. The ANN model employs one hidden layer with ReLU and softmax activation functions to classify user input into relevant mental health categories. The model achieved a training accuracy of 83.2% with a loss of 0.655, and a testing accuracy of 81.5%, indicating solid performance. Compared to rule-based methods, ANN provides better adaptability in recognizing diverse expressions and delivering context-aware, empathetic responses. This study also introduces a custom-built mental health dataset and integrates a crisis response module that is underexplored in previous research. The chatbot targets five categories of mental disorders: Schizophrenia, Bipolar Disorder, Depression, Anxiety, and Personality Disorders. Findings suggest that ANN-based chatbots can serve as reliable, accessible, and scalable early-stage mental health support tools.
Analisa Hubungan Penyakit Jantung Koroner Terhadap Penyebabnya Menggunakan Algoritma Frequent Pattern Growth Eva Darnila; Nazira Nazira; Fajriana Fajriana
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp19-31

Abstract

The increase in cases of coronary heart disease without detailed knowledge of the causes is a serious problem that requires immediate treatment. This study aims to analyze the relationship between causal factors and the incidence of coronary heart disease using the Frequent Pattern Growth (FP-Growth) algorithm. This algorithm is applied to medical data of inpatients at RSUD dr. Fauziah Bireuen to identify patterns of relationships that often arise between risk factors such as age, gender, diabetes, cholesterol, hypertension and uric acid on the diagnosis of coronary heart disease. There were 180 patient medical record data with 17 items used for analysis. The results show the three most significant relationship patterns: the combination of risk factors for diabetes and high cholesterol has a support value of 50% and confidence of 67%, the risk of diabetes in men has a support value of 47% and confidence of 63%, and the combination of cholesterol and hypertension shows a support value of 45 % and confidence 66%. These results are expected to provide better insight into the prevention, early detection and treatment of coronary heart disease, as well as improving health services in hospitals. This research also emphasizes the importance of applying data mining technology in the analysis of complex health data.
Penerapan Logika Fuzzy Tsukamoto pada Rancang Bangun Sistem Deteksi Kekeruhan Air Budi Daya Ikan Lele Muhammad Rizki; Eva Darnila; Cut Agusniar
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp112-120

Abstract

This study develops a water quality monitoring system for catfish farming using the Internet of Things (IoT) and Fuzzy Tsukamoto logic. This system consists of a Turbidity Sensor to measure turbidity levels, a DS18B20 sensor to monitor temperature, and a pH meter to measure water acidity levels. Data from the sensors is sent in Realtime to Firebase and displayed in an Android application based on Kodular. The Fuzzy Tsukamoto method is used to analyze data, determine the water quality status whether the water value is Clean, Normal, or Turbid based on predetermined parameters. Based on 14 tests, the system showed an accuracy level of 85.7%, with 12 matching results. In addition, this system is able to provide automatic notifications to users if there are significant changes in water conditions. As a result, this system can help fish farmers monitor water quality efficiently, as well as make decisions about when is the right time to change pond water.
Data Mining Analysis for Clustering the Number of Tb Patients in North Aceh Health Centers Using the Spectral Method Clustering Khainesya Khainesya; Eva Darnila; Risawandi Risawandi
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.847

Abstract

Tuberculosis (TB) is one of the infectious diseases that is a significant concern in the world of health, especially in the North Aceh region. Grouping the number of TB patients based on severity and region is very important to support decision-making in further prevention and treatment efforts. This study applies the Spectral Clustering method to cluster the number of TB patients at Baktiya Health Center, Bayu Health Center, and Lhoksukon Health Center to identify patient distribution patterns based on severity categories. The system built is a web-based data mining analysis system using PHP and MySQL as a database. Clustering is done by dividing patients into three categories, low, medium, and high, based on five main criteria, namely age, gender, month of treatment, diagnosis results, and patient address. The results showed that Lhoksukon Health Center had the highest number of TB patients, with 136 patients (37.06%), an average age of 48.6 years, and the most cases occurred in December 2022. Bayu Health Center was at a moderate level with 130 patients (35.42%), most of whom were 45.5 years old, and most cases occurred in November 2023. Meanwhile, Baktiya Health Center had the lowest number of patients, 101 (27.52%), with the most cases occurring in November. From the clustering results, it can be concluded that the Spectral Clustering method can group TB patients well to help medical personnel and related parties develop more effective intervention strategies based on the region and severity of the patient.
Implementation of Organic and Inorganic Waste Selection System Based on Internet of Things Using MQTT Protocol at Abby Lhokseumawe Hospital Rina Julita; Eva Darnila; Risawandi Risawandi
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.826

Abstract

The waste sorting system designed for Abby Hospital in Lhokseumawe aims to improve the efficiency and effectiveness of waste management by automatically separating organic and inorganic materials. This system integrates Proximity sensors as the primary detectors, capable of detecting organic objects within a spatial range of 4 cm and inorganic objects within a range of 5 cm. The main feature of this system is its ability to automatically sort waste, which helps reduce the potential for human error in waste categorization and improve operational efficiency in the waste disposal process. During the testing phase, which focuses on assessing the trash bin's capacity when complete, the system uses ultrasonic sensors to measure and monitor the waste filling levels. The test results show an average data transmission delay of 445.33 ms, which is within the acceptable tolerance for this system. Additionally, the prototype is equipped with an operational status notification feature for users. This notification is delivered with an average delay of just 402.5 ms, ensuring that system status information is provided to users in real time. The combination of sensor detection precision and response speed in the waste sorting process highlights the system's effectiveness in improving waste management at the hospital. This system is expected to support the hospital's efforts in maintaining a clean environment and contribute to a more environmentally friendly and organized waste management program.
Co-Authors Ade Muana Husniati Ainol Mardhiah Angaw, Mariance Wulan Asrianda Asrianda Bakti Viyata Sundawa Cindenia Puspasari Cut Agusniar Cut Dewi Aida Soraya Cut Fadhilah Dela, Monisa Dhyra Gibran Alinda Dinata, Rozzy Kesuma Ermatita - Fadisar, Nanda Fadlisyah Fadlisyah Fajriana , Fajriana Fajriana, Fajriana Febrin Aulia Batubara Fuadi, Wahyu Hafiz Al-Kautsar Hafni Hafni Hafni Hafni Harahap, Lina Mardiana Hazmanan Khair Hizamrul jaen Ichsan ilham - sahputra Irhami, Putri Iwan Pahendra jaen, Hizamrul Jannah, Rauzatul Japirman Purba Khainesya Khainesya Khairunnisa Khairunnisa Khalid Mawardi Lidya Rosnita Lina Mardiana Harahap M. Althaf Kiram Mandala, Rizki Maryana Maryana Maryana Maryana Maryana, Maryana Marzuki, Sinambela Mauliza, Mauliza Melly Yani Melly Melly, Melly Yani Melodi, Balqis Muhammad Azmi, Muhammad Muhammad Fikry Muhammad Iqbal Muhammad Iqbal Muhammad Rivai Muhammad Rizki Muhammad Rizki Mukti Qamal Mutammimul Ula Nasution, Tuti Adi Tama Nazimah Nazimah Nazira Nazira Nazira Nazira Nilahayati Nunsina Nunsina, Nunsina Nurahma, Syahfitri Nurdin Nurdin Nurfaiza Nursanti Nursanti Nursanti Nursanti Pane, Syamsul Buchori Ramadani, Suci Rauzatul Jannah Razi, Ar Razif Razif Rina Julita Rini Meiyanti Risawandi, Risawandi Ritonga, Maya Syarah Rozzi Kesuma Dinata Safrizal Safrizal Safwandi Safwandi Salsabila, Cut Syahira Sari Erliani Serlina Serlina Sinambela Marzuki Suci Ramadani Syaiful Bahri Syamsul Buchori Pane Teguh Rahayu TONNI LIMBONG Ulvityatni Wahyu Fuadi Widyana Verawaty Siregar Yaumil Iksan Zahratul Fitri, Zahratul Zara Yunizar