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All Journal ComEngApp : Computer Engineering and Applications Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TEKNIK INFORMATIKA Teknika Jurnal Teliska Proceedings of KNASTIK Elkom: Jurnal Elektronika dan Komputer PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Prosiding SNATIF Teknika: Jurnal Sains dan Teknologi Annual Research Seminar SMATIKA Jurnal Ampere Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro Jurnal Informatika Upgris Tech-E International Journal of Artificial Intelligence Research JURNAL MEDIA INFORMATIKA BUDIDARMA VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Indonesian Journal of Artificial Intelligence and Data Mining JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal TIPS : Jurnal Teknologi Informasi dan Komputer Politeknik Sekayu Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Qua Teknika Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science Jurnal Informatika dan Rekayasa Elektronik bit-Tech Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Advances in Data and Information Systems Jurnal Teknik Informatika (JUTIF) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Advance Sustainable Science, Engineering and Technology (ASSET) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Bangsa Enrichment: Journal of Multidisciplinary Research and Development Prosiding Seminar Hasil Penelitian dan Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Sultan Indonesia Journal of Environment and Sustainability Education JEPEmas: Jurnal Pengabdian Masyarakat (Bidang Ekonomi) Jurnal Pengabdian Masyarakat Mentari
Ade Silvia Handayani
Politeknik Negeri Sriwijaya
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Development of a Littering Behavior Detection Using 3D Convolutional Neural Networks (3D CNN) Husni, Nyayu Latifah; Prihatini, Ekawati; Ulandari, Monica; Handayani, Ade Silvia
Computer Engineering and Applications Journal Vol 14 No 1 (2025)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v14i1.1246

Abstract

Littering has become a significant problem that negatively impacts public health and environmental cleanliness. This research introduces an innovative solution using 3D Convolutional Neural Networks (3D CNN) technology to automatically detect littering behavior through real-time CCTV recordings. Two models were developed and tested. Model 1, which employs Conv3D, Batch Normalization, and Dropout, showed high training accuracy but exhibited fluctuations in validation accuracy, indicating potential overfitting. In contrast, Model 2, designed with a simpler structure without Batch Normalization and Dropout, achieved higher classification accuracy and efficiency. Both models significantly contribute to addressing littering in public areas, increasing awareness, and supporting environmental law enforcement. The integration of 3D CNN technology in detecting littering behavior demonstrates its potential to reduce pollution and promote environmentally responsible behavior.
SYSTEM DESIGN FOR EARLY DETECTION OF DIABETES MELLITUS USING IOT-BASED NON-INVASIVE SENSORS Widya, Afni Rara; Handayani, Ade Silvia; Rakhman, Abdul
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6198

Abstract

This research aims to design a diabetes mellitus early detection tool using IoT-based non-invasive sensors. This tool uses blood pressure sensors and color sensors to detect glucose levels in urine. The data obtained from these sensors is sent to the Arduino Uno microcontroller, displayed on the LCD screen, and saved to the Firebase platform for further monitoring and analysis. The test results show that this tool is able to measure and display blood pressure data and urine glucose levels accurately and in real time so that it can be used as a practical and efficient diabetes mellitus diagnostic tool. This research makes a very important contribution to the development of IoT-based health technology, especially in facilitating early detection of diabetes non-invasively. This research aims to design a diabetes mellitus early detection tool using IoT-based non-invasive sensors. 
Peningkatan Kapasitas Pengetahuan tentang Potensi Promosi Usaha melalui Sosial Media pada Transpuan Palembang Handayani, Ade Silvia; Rahman, M. Arief
Jurnal Pengabdian Masyarakat Mentari Vol. 1 No. 2 (2024): September
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmm.v1i2.61

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kapasitas pengetahuan komunitas transpuan di Palembang dalam memanfaatkan media sosial sebagai sarana promosi usaha. Metode yang digunakan dalam kegiatan ini adalah deskriptif kualitatif observatif, dengan fokus pada pengamatan langsung terhadap proses peningkatan pengetahuan dan keterampilan peserta dalam membuat konten promosi usaha di media sosial. Kegiatan ini melibatkan penyampaian materi oleh narasumber, praktik langsung pembuatan konten, serta sesi diskusi dan evaluasi. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam pemahaman peserta mengenai strategi promosi digital, pembuatan konten yang menarik, serta interaksi dengan pelanggan melalui platform media sosial seperti Instagram dan TikTok. Kegiatan ini mampu meningkatkan rasa percaya diri komunitas transpuan dalam memperkenalkan produk dan jasa mereka secara lebih luas. Dengan demikian, kegiatan ini diharapkan dapat mendukung kemandirian ekonomi komunitas transpuan di Palembang melalui pemanfaatan teknologi digital.
EduKopi Sriwijaya Membangun Wisata Kopi Edukatif untuk Peningkatan Pengetahuan dan Ekonomi Masyarakat Rahman, M Arief; Handayani, Ade Silvia; Arinaullah, Nabiel; Kurniawan, M Lutfi; Maysya Ayu, Ghina; Rosita, Ella
Jurnal Pengabdian Masyarakat Sultan Indonesia Vol. 2 No. 1 (2025): Abdisultan
Publisher : Sultan Publsiher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/abdisultan.v2i1.363

Abstract

  Kegiatan pengabdian masyarakat EduKopi Sriwijaya tidak hanya dirancang sebagai sarana pelatihan, tetapi juga sebagai strategi pembangunan ekonomi lokal yang mengedepankan pendekatan partisipatif dan berkelanjutan. Kegiatan ini dilaksanakan di Rumah Kopi Sriwijaya, Provinsi Sumatera Selatan, yang memiliki potensi kopi unggulan dan komunitas penggiat kopi aktif. Melalui kolaborasi antara institusi pendidikan dan komunitas kopi lokal, kegiatan ini membuka ruang interaksi produktif antara akademisi, petani kopi, pelaku UMKM, dan masyarakat umum. Selain memberikan pelatihan teknis, program ini membangun pemahaman peserta terhadap pentingnya nilai tambah kopi, mulai dari branding produk, pengemasan yang menarik, hingga strategi pemasaran berbasis digital. Pendekatan wisata edukatif yang digunakan tidak hanya berfokus pada transfer ilmu, tetapi juga memberikan pengalaman menyeluruh yang menyenangkan dan inspiratif, sehingga menarik minat generasi muda untuk terlibat dalam sektor pertanian kreatif. Dampak jangka pendek yang terlihat adalah tumbuhnya semangat wirausaha berbasis kopi pada beberapa peserta, serta meningkatnya ketertarikan masyarakat terhadap pariwisata tematik. Penelitian ini menggunakan pendekatan kualitatif partisipatif, dengan teknik observasi, wawancara, dan diskusi kelompok sebagai metode pengumpulan data. Ke depan, EduKopi Sriwijaya diharapkan dapat direplikasi di daerah lain yang memiliki potensi serupa, sebagai bagian dari upaya pelestarian budaya lokal sekaligus pengembangan ekonomi berbasis komunitas.
Design Build a 4x4 Mimo Microstrip Antenna with Artificial Dielectric Muse Array Technique to increase Antenna Gain pexisting Application 5G Handayani, Ade Silvia; Sugiyanto, Aan; Ciksadan, Ciksadan; Endri, Jon
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 1 (2023): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i1.4857

Abstract

The development of fifth-generation cellular technology, commonly referred to as "5G" networks, is believed to be able to maximize data speed access needs. In order to maximize the utilization of the existing 5G network in Indonesia, Telkomsel providers are using a frequency of 2.3 GHz with a bandwidth of 50 MHz. So we need an antenna amplifier that is easy to fabricate and place anywhere to maximize the signal capture range. A microstrip antenna is a suitable antenna for this amplifier. The advantage of this antenna is that it has a light mass and is easy to fabricate. while the drawbacks come in the form of narrow bandwidth and small gains. Therefore, an antenna design with an artificial substrate and array technique was made to overcome this. The design of this microstrip antenna was made in the CST Studio Suite 2019. The design was carried out by entering the antenna dimension values to be simulated and seeing the parameters; if they are not suitable, then they need to be optimized again, and when they are appropriate, the design results are fabricated and printed. In testing the signal capture power using the Xirrus WiFi Inspector, this antenna was able to capture the signal beam, which was 105 meters or 40 meters further than not using the antenna. In addition, from testing, it is known that this antenna has a gain of 16.15 dBi. While in the simulation, it is also known that this antenna has the following characteristics: return loss: -32,353 dB (S11), -32,737 dB (S22), -33,974 dB (S33), -34,423 dB (S44), VSWR: 1,049 (VSWR 1), 1,047 (VSWR 2), 1.040 (VSWR 3), 1.038 (VSWR 4), impedance: 50.7 -111 MHz.
Sistem Monitoring Kesehatan Dalam Penentuan Kondisi Tubuh Dengan Metode Fuzzy Mamdani Plowerita, Sanyyah; Handayani, Ade Silvia; Hadi, Irawan; Husni, Nyayu Latifah
PROtek : Jurnal Ilmiah Teknik Elektro Vol 8, No 2 (2021): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v8i2.3341

Abstract

In this study, designing a health monitoring system with an Android-based Application of Health Detector (AHD) application. The data displayed is an input for multi-sensor readings from the detection of body health. From the detected health, it will provide a determination of the body's health condition, using the fuzzy mandani algorithm. The variables calculated were age, gender, heart rate, body temperature, systolic blood pressure, diastolic blood pressure, and blood oxygen levels. The stages of the fuzzy mamdani method in determining body health conditions include the formation of fuzzy sets, application of implications functions, and composition of rules. From the results of this study, it was found that the age factor affects health conditions. Older people tend to have indications of health conditions, only some of them have indicated health conditions, and almost all of them have healthy health conditions. The level of accuracy of the fuzzy mamdani method in this study was 85.18%. This is because in this study many variables are used which causes many rules to be made so that they are prone to errors.
Seminar UMKM Go Export Bersama Bank Sumsel Babel 2025 Rahman, M Arief; Handayani, Ade Silvia; Harlasyanti, Dewi Ekha; Rosita, Ella; Sehatiningsih, Ambar
JEPEmas: Jurnal Pengabdian Masyarakat (Bidang Ekonomi) Vol 4 No 1 (2025): April 2025
Publisher : UP2MF Fakultas Ekonomi dan Bisnis, Universitas Sains Al-Qur'an (UNSIQ) Jawa Tengah di Wonosobo

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

Abstract

Micro, Small, and Medium Enterprises (MSMEs) hold a strategic role in the national economy but continue to face challenges in accessing international markets, securing funding, managing legal compliance, and understanding export procedures. The UMKM Go Export Seminar with Bank Sumsel Babel 2025 was conducted to strengthen the capacity of MSME actors to penetrate the global market, featuring speaker Dewi Ekha Harlasyanti, S.H. This activity aimed to provide knowledge on export strategies for local products, optimization of digital marketing, legal business management, and appropriate product packaging for export standards. The seminar was conducted using a descriptive qualitative observational method through discussion sessions, material presentations, and participant satisfaction evaluations. The target audience consisted of MSMEs in the South Sumatra, focusing on improving product competitiveness for export purposes. The seminar resulted in increased understanding among participants regarding small-scale export opportunities, flexible payment systems, strategies for finding international buyers through social media, and the importance of mastering product specifications. The involvement of Bank Sumsel Babel in offering financial support further facilitated better access to capital for MSMEs. This activity contributed to improving the readiness of local MSMEs to initiate the export process progressively, thereby enhancing the region’s product contribution to global trade.
Performance Evaluation on Applied Low-Cost Multi-Sensor Technology in Air Pollution Monitoring Handayani, Ade Silvia; Husni, Nyayu Latifah; Permatasari, Rosmalinda
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 3 (2022)
Publisher : Universitas Sriwijaya

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

Abstract

This research aims to discuss the application of multi-sensor network technology for the monitoring of indoor air pollution. Indoor air pollution has become a severe problem that affects public health, especially indoor parking. The indoor air pollution monitoring system will provide information about vehicle exhaust emission levels. We have improved the system to identify six parameters of the vehicles' gas emissions within a different location at once. This research aimed to measure the parameter of Carbon Monoxide (CO), Carbon Dioxide (CO2), Hydro Carbon (HC), temperature and humidity, and levels of particulates in the air (PM10). The performance of this system shows good ability to compare the results of measurements of air quality measuring professionals. In this study, we investigated the performance of a custombuilt prototype developed under the android-based application to detect air pollution levels in the parking area. Our objective was to evaluate the suitability of a low-cost multi-sensor network for monitoring air pollution in parking and the other area. The benefit of our approach is that its time and space complexity make it valuable and efficient for real-time monitoring of air pollution.
Littering Activities Monitoring using Image Processing Husni, Nyayu Latifah; Handayani, Ade Silvia; Passarella, Rossi; Abdurrahman; Rahman, A.; Felia, Okta
Computer Engineering and Applications Journal (ComEngApp) Vol. 12 No. 3 (2023)
Publisher : Universitas Sriwijaya

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

Abstract

Littering is a human behavior that become a habit since childhood. Even though there are rules that prohibit this behavior, the community still continues to do so. In order to limit this bad behavior, a device that can monitor and provide notifications is needed. In this research, proposed device can identify human activities by utilizing webcam-based image processing. It is processed by machine learning using the Recurrent Neural Network (RNN). The monitoring device produced in this research works by comparing the captured image data with dataset. The captured image data are extracted into figures and form several coordinate points on the human body. Then, the system classifies the human activities into two categories, i.e., normal or littering. This device will provide an output in the form of a ewarning every time the activity of littering is detected.
Development of a Littering Behavior Detection Using 3D Convolutional Neural Networks (3D CNN) Husni, Nyayu Latifah; Prihatini, Ekawati; Ulandari, Monica; Handayani, Ade Silvia
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 1 (2025)
Publisher : Universitas Sriwijaya

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

Abstract

Littering has become a significant problem that negatively impacts public health and environmental cleanliness. This research introduces an innovative solution using 3D Convolutional Neural Networks (3D CNN) technology to automatically detect littering behavior through real-time CCTV recordings. Two models were developed and tested. Model 1, which employs Conv3D, Batch Normalization, and Dropout, showed high training accuracy but exhibited fluctuations in validation accuracy, indicating potential overfitting. In contrast, Model 2, designed with a simpler structure without Batch Normalization and Dropout, achieved higher classification accuracy and efficiency. Both models significantly contribute to addressing littering in public areas, increasing awareness, and supporting environmental law enforcement. The integration of 3D CNN technology in detecting littering behavior demonstrates its potential to reduce pollution and promote environmentally responsible behavior.
Co-Authors A. Rahman AA Sudharmawan, AA Aan Sugiyanto Abdul Rakhman Abdurahman Abdurrahman Abu Hasan Aditya, M Rizky Vira Afifah, Luthfia Afiifa Aaliyah Maharani Agung, Muhammad Zakuan Ahmad Taqwa Ahmad Taqwa Al Fatur Sayid Al-Kausar, Jefri Albertia Youlanda Alfarizal, Niksen Ali Nurdin Ali Nurdin Ali Nurdin Alquratu SeptriaPS, Annies Amperawan Amperawan Andry Meylani Angguna, Welan Mauli Anisah Fadhilah Arinaullah, Nabiel Aryanti Aryanti Asriyadi Asriyadi Aswarisman, Novie Rahmadani Auditra Faza Amira Az-zahra, Maudhy Banu Putri Pratiwi Br Ginting, Nurul Devani Btari Puspa Yahya C. Ciksadan Carlos R Sitompul Ciksadan Ciksadan Ciksadan, Ciksadan Destra Andika Destra Andika Pratama Devi Indah Pujiana Dewi, Tresna Dody Novriansyah DWI RAMADHANI Dzikrillah, Muhammad Ekawati Prihatini Ekawati Prihatini Elisa Islami Putri Emilia Hesti Endri, Jon Endri, Jon Enri, Jon Evelina Evelina Evelina Evelina Evelina, Evelina Faisal Damsi Farid Jatri Abiyyu Faris, Fakhri Al Farozi, Ahmad Felia, Okta Felisia Talitha Aprilia Firdaus Firdaus Hani Marta Putri Harlasyanti, Dewi Ekha Hertani Indah Lestari Hetty Meileni Hj. Lindawati Husni, Nyayu Latifah Ibnu Ziad, Ibnu Ihsan Mustaqiim Inayah, Cantika Tri Irawan Hadi Irawan Hadi Irdayanti, Yeni Irma Salamah Irsyadi Yani Iryadi Yani Iryadi Yani, Iryadi Iskandar Lutfi Jon Endri Kaila, Afifah Syifah Kinasih, Ayu Antika Sekar Kurniawan, M Lutfi Leni Novianti Linda Wati Lindawati Lindawati M Arief Rahman M. Ardiansyah M. Ilham Akbar M. Sobri Maharani, Ullya Dwi Mardiani, Mega Marieska Lupikawaty Martinus Mujur Rose Masayu Anisah Maysya Ayu, Ghina Medina Nadila Prima Putri Mega Hasanul Huda Meranda, Arganda Meutia Deli Rachmawati Mieska Despitasari Moh. Heri Kurniawan Mohammad Fadhli Msy Aulia Hasanah Muhamad Rizki Harahap Nabila, Puspita Aliya Nasron Nasron Nasron Nasron Nofriyanti, Duwi Novriansyah, Dody Nur Agustini Nur Hopipah Nurhajar Anugraha Nyanyu Latifah Husni Nyayu Latifah Nyayu Latifah Husni Nyayu Latifah Husni Nyayu Latifah Husni Nyayu Latifah Husni Nyayu Latifah Husni, Nyayu Latifah Oktariani, Clara Permata Sari, Mira Permatasari, Rosmalinda Plowerita, Sanyyah Pratama, Destra Andika Prihatini, Ekawati Putra, Muhammad Rizki Ganda Putra, Yogie Dwi Putri, Amanda Kanaya Rahman, M Arief Rahman, M. Arief Rakhman, M Arief Rakhman, M.Arief Rasyad, Sabilal Riska Handayani Riswal Hanafi Siregar Rivaldo Arviando Rizkiyanti, Shally Rizky Vira Robi Robi Rosita, Ella Rossi Passarella Rumiasih Rumiasih Rumiasih Rumiasih Rumiasih Rumiasih Sabilal Rasyad Sabilal Rasyad Safitri, Rahmi Dian Salsabillah, Farhah Sanyyah Plowerita Sarjana Sarjana Sarjana, Sarjana Sehatiningsih, Ambar Selamat Muslimin Sinaga, Putri Sitangsu Sitangsu Siti Chodijah Siti Nurmaini Sitompul, Carlos R Sobri, M. Sopian Soim Sopian Soim Sopian Soim, Sopian Sri Chodidjah Sugiyanto, Aan Suroso Suroso Suroso Suroso suzan zefi Syauqiyah, Khansa Ghazalah Taqwa, Ing Ahmad Tarmidi Tarmidi Theresia Enim Agusdi Tresna Dewi Tresna Dewi Ulandari, Monica Wahyu Caesarendra Wahyuni, Devi Widya, Afni Rara Wildan Putra Pratama Wirayudha, Ikhwan Adhi Yani, Iryadi Yeni Irdayanti Yudi Wijanarko