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Sosialisasi Aplikasi Mobile Untuk Sistem Antrian Pada Puskesmas Sako Kota Palembang Anugraha, Nurhajar; Aryanti, Aryanti; Wardhani, Dyah Utari Yusa; Utami, Pertiwi Nurul; Zhafarina, Imas Ning; Fatin, Muhammad Hanif; Sari, Diah Novita; Hapsari, Yulia; Harahap, Adhelia Febriasari
Amaliah: Jurnal Pengabdian Kepada Masyarakat Vol 9 No 1 (2025): Amaliah Jurnal: Pengabdian kepada Masyarakat
Publisher : LPPI UMN AL WASHLIYAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32696/ajpkm.v9i1.4545

Abstract

This Community Service Activity aims to provide knowledge about mobile applications for queuing systems that are expected to make it easier for patients who will check their health or seek treatment at the Health Center. The methods used in this activity include interview methods with the Health Center to find out the source of the problem that is the basis for this community service activity. Furthermore, a socialization method is carried out, where in this socialization activity an explanation will be given to both the Health Center and patients about the use of the application that will be designed. The results of this activity are socialization regarding the Mobile application for the patient queuing system along with socialization of the procedures for using the application. Where after the implementation of this activity is carried out, the application that will be designed will make it easier for patients and patients no longer need to sit and queue for a long time when going to the Sako Health Center for treatment.
Performance Comparison Between ResNet50 and MobileNetV2 for Indonesian Sign Language Classification Daviana, Feriska Putri; Aryanti, Aryanti; Anugraha, Nurhajar
JURIKOM (Jurnal Riset Komputer) Vol 12, No 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8667

Abstract

Hearing impairment was considered a significant barrier to understanding verbal communication. Therefore, an alternative communication medium in the form of sign language was required to bridge interactions between Deaf and hearing individuals. One of the sign languages used in Indonesia was the Indonesian Sign Language (BISINDO). The advancement of deep learning technology provided a great opportunity to develop an effective and accurate BISINDO alphabet classification system. This research was conducted to evaluate and compare the performance of two Convolutional Neural Network (CNN) architectures, namely ResNet50 and MobileNetV2, in classifying BISINDO alphabet images consisting of 26 classes from A to Z. Model training wa carried out over 100 epochs and was analyzed using metrics such as training and validation accuracy, precision, recall, F1-score, and confusion matrix. The training process used a dataset that was divided into 80% training data and 20% validation data, and include image preprocessing steps such as resizing and rescaling. The evaluation results showed that ResNet50 achieved 86.42% training accuracy and 98.64% validation accuracy with 98.80% precision, 98.69% recall, 98.57% F1-score, and 31 misclassifications. In contrast, MobileNetV2 showed superior performance with 99.99% training accuracy, 99.65% validation accuracy, 99.69% precision, 99.65% recall, 99.61% F1-score, and only 8 misclassifications. Based on these results, MobileNetV2 was recommended as a more effective and efficient architecture for BISINDO alphabet image classification compared to ResNet50.
Implementation and Evaluation of 5G Standalone Network Using Open5GS, srsRAN, and USRP B210 for Research Purposes Noviansyah, Noer Ramadhon; Aryanti, Aryanti; Sopian Soim
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 1 (2025): Issues July 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i1.15064

Abstract

This study aims to implement and evaluate an Open Source-based 5G Standalone (SA) network using Open5GS as the Core Network, srsRAN as the Radio Access Network (RAN), and USRP B210 as a Software Defined Radio (SDR) device. A commercial smartphone was used as the User Equipment (UE) to test end-to-end network connectivity and performance. The research method includes software installation, network parameter configuration, system integration, as well as connectivity and performance testing based on ITU-R IMT-2020 standards. The test results show that all network elements were successfully integrated, as indicated by the successful registration and authentication of the UE and the establishment of a data session. Performance testing recorded a downlink throughput of 55 Mbps, uplink throughput of 15 Mbps, latency of 33 ms, jitter of 8.9 ms, and 0% packet loss. Although some performance parameters did not meet the minimum ITU-R IMT-2020 standards, the system proved operable as an independent Open Source and SDR-based solution for experimental purposes in a laboratory environment. Future work should focus on optimizing the backhaul connection, conducting multi-UE testing, and simulating mobility and handover scenarios to assess system performance in large-scale and real-world deployments.
Prototipe dengan Sistem IoT Pada Pengaturan Suhu dan Kelembaban Pada Permentasi Tempe Mekongga, Ikhthison; Mustaziri; Fazarrudin, Muhammad; Asrafi, Ibnu; Aryanti, Aryanti
Jurnal Ampere Vol. 8 No. 2 (2023): JURNAL AMPERE
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/ampere.v8i2.13461

Abstract

This research aims to design an IoT-based prototype for temperature and humidity control to enhance the productivity of tempe fermentation. The prototype utilizes the WeMos D1 R2 microcontroller, processing data from the temperature sensor (DHT11) and RTC DS3231 to control a DC fan and heater. The Blynk application enables remote monitoring and management of temperature and humidity. Research results indicate stable temperature (30°C–37°C) and humidity (60–70 RH). The prototype demonstrates effectiveness in controlling tempe fermentation conditions and is suitable for implementation. .
Integrasi Telegram App dalam Sistem Pemantauan Ketinggian Air Berbasis Internet of Things (IoT) Mekongga, Ikhthison; Mustaziri; Aryanti, Aryanti; Intan Handayani, Sri
Jurnal Ampere Vol. 7 No. 2 (2022): JURNAL AMPERE
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/ampere.v7i2.13462

Abstract

Tingginya curah hujan pada musim penghujan dapat mengakibatkan ketinggian air meningkat, dapat mengakibatkan banjir, jalan tergenang air, bendungan bisa jebol, sehingga alat pengukuran ketinggian air sangat diperlukan. Penelitian ini bertujuan untuk membuat hardware pemantau ketinggian air berbasis internet of things (IoT) telegram app. Hardware pemantau ketinggian air berbasis IoT ini memanfaatkan NodeMCU ESP8266, sensor ultrasonic HC-SR04 yang berfungsi mendeteksi ketinggian air. Dimana informasi tentang ketinggian air dikirim melalui aplikasi telegram yang terdapat pada smartphone. Jika jarak ketinggian air dari sensor <= 20 dan jarak > 15 maka LCD akan menampilkan status siaga, Jika jarak ketinggian air dari sensor jarak <= 15 dan jarak > 10 maka LCD akan menampilkan status waspada, Jika jarak ketinggian air dari sensor jarak <= 10 maka LCD akan menampilkan status bahaya. Terdapat tiga level peringatan yaitu, siaga, waspada, dan bahaya. Hasil pengujian ESP8266 terhubung ke wifi dengan jangkauan jarak maksimal 7m. Berdasarkan pengujian, LCD akan terus menampilkan setiap perubahan kondisi ketinggia air sampai ESP8266 mengirimkan notifikasi pada telegram jika ketinggian air jarak > 20
Sharing SSH Threat Intelligence across Multiple Servers using WebSocket and Fail2Ban Tely, Aristo; Aryanti, Aryanti; Soim, Sopian
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December (In Progress)
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.270

Abstract

This study presents a lightweight prototype designed to improve SSH brute-force defense by enabling collaborative IP blocking across multiple servers. The system integrates Fail2Ban with WebSocket to distribute banned IP addresses in real-time among trusted nodes eliminating the need for centralized infrastructure. The experiment was conducted on 3 virtual private servers (VPS), where one acted as the WebSocket server and the others as clients equipped with Fail2Ban. When an SSH brute-force attack is detected, the source IP is automatically shared across the network and blocked on all connected nodes. A qualitative observational approach was used to evaluate the system’s feasibility. Log data from the clients and server was analyzed to confirm the accuracy and consistency of IP synchronization. The results showed that banned IPs were propagated and enforced on all nodes within seconds of detection. These findings demonstrate the potential for decentralized, lightweight collaboration among SSH servers to enhance security without introducing complex infrastructure or external dependencies.
Interactive Real-Time Weight Management Platform Using Machine Learning Methods Haksa, Febrina Rosadah; Endri, Jon; Aryanti, Aryanti
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.36874

Abstract

This research develops an interactive and real-time web-based weight management platform that integrates machine learning methods using decision tree algorithms to detect the risk of weight-related diseases. The platform features an automatic Body Mass Index (BMI) calculator as well as a risk prediction system for diseases such as obesity and cardiovascular disorders. The data used includes the user's weight, height, eating habits, and physical activity level parameters collected through a live user interface. Based on the data, a decision tree algorithm is used to classify the health risk level and provide personalized recommendations to the user to help with preventive weight management. Initial testing showed that the decision tree model applied was able to achieve a prediction accuracy rate of 97%, demonstrating reliable performance in identifying health risks based on lifestyle data. This platform is expected to be an accessible technology solution to increase public awareness of the importance of weight management and disease prevention independently.
Internet of Things-Based Charity Box Security With Automatic Money Detection And Location Tracking Anggraini, Nur Septi; Salamah, Irma; Aryanti, Aryanti
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.37254

Abstract

This research designs and develops an Internet of Things (IoT)-based charity box security system aimed at improving transparency, security, and efficiency in the management of donation funds. The system integrates a TCS3200 color sensor to detect banknotes, a Neo-6M GPS module for real-time location tracking, and 4x4 keypad as PIN-based access security. The ESP32 microcontroller acts as the control center, and the Telegram Bot API is used to send notifications directly to the user when suspicious activity or device movement occurs. Additional features such as buzzers, speakers, and solenoid doorlocks function as warning systems and automatic locks to prevent unauthorized access. Test results show that all features work well, with a high success rate in money detection, accurate location tracking, and fast notification delivery. Despite limitations in the accuracy of detecting some banknotes due to the similarity of RGB values, the overall system proved to be reliable and has the potential to be implemented in public facilities or places of worship. Further developments could include integration with cloud storage, the addition of cameras for visual identification, and mobile applications for more interactive remote control and monitoring.
PENGARUH PEMBERIAN JUS NANAS (ANANAS COMOSUS) TERHADAP PENYEMBUHAN LUKA PERINEUM PADA IBU NIFAS DI BPM SABTIWI Fatrin, Tiara; sari, yona; aryanti, aryanti
Jurnal Kesehatan Abdurrahman Vol 14 No 2 (2025): Jurnal Kesehatan Abdurahman
Publisher : STIKES Abdurahman. Pusat Informasi dan Manajemen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55045/jkab.v14i2.269

Abstract

Robekan perineum terjadi secara spontan maupun robekan melalui tindakan episiotomi. Buah nanas (Ananas comosus) mengandng enzim bromelin sehingga mempercepat penyembuhan luka. Penelitian ini bertujuan untuk mengetahui pengaruh jus nanas (Ananas comosus) terhadap penyembuhan luka perineum pada ibu nifas. Desain yang digunakan dalam penelitian ini adalah desain Pre Eksperimen. Penelitian ini menggunakan rancangan pendekatan Statistic Group Comparation. Populasi dalam penelitian ini adalah 16 orang. Sampel yang digunakan dalam penelitian ini adalah 12 responden 6 sebagai kelompok perlakuan 6 sebagai kelompok kontrol. Pengambilan data dengan menggunakan lembar observasi dan kuisioner,hasil penelitian dari 6 responden kelompok perlakuan 4 responden mengalami penyembuhan luka baik sedangkan 2 responden mengalami penyembuhan luka kurang baik. Sedangkan kelompok kontrol dari 6 responden 3 responden mengalami penyembuhan luka kurang baik, dan 1 responden mengalami penyembuhan luka baik, uji analis data chi square. Berdasarkan hasil analisa dengan uji chi square diperoleh nilai signifikansi sebesar 0,040 (p < 0,05) yang artinya ada pengaruh pemberian jus nanas (Ananas comosus) terhadap penyembuhan luka perineum ibu nifas hari 1-6 di Beberapa PMB Wilayah Kecamatan Wagir Kabupaten Malang. Peneliti menyarankan kepada responden untuk menggunakan jus nanas (Ananas comosus) untuk mempercepat penyembuhan luka perineum.
Peran Bank Syariah dalam Mendukung Ekonomi Berkelanjutan Akifah Fakhira, Dhia; Sabila Utami, Meisyah; Wulandari, Afifah; Aryanti, Aryanti
SJEE (Scientific Journals of Economic Education) Vol 9, No 2 (2025): September
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/sjee.v9i2.233

Abstract

This study aims to explore the role of Islamic banks in supporting sustainable economic development, focusing on the alignment between Sharia values and sustainability principles, the strategies adopted, and the challenges and opportunities encountered. The findings reveal that core Sharia principles such as justice, social responsibility, and environmental stewardship are inherently aligned with the goals of sustainability. However, a significant challenge lies in the limited operational understanding of sustainability concepts and the lack of supportive regulations that recognize the unique role of Islamic banks in green financing. Despite these constraints, there is vast potential for Islamic banks to expand their contribution through innovative green financial products, the strategic utilization of Islamic social funds (e.g., zakat and waqf), and multi-stakeholder collaborations. The study recommends that future research adopt a mixed-methods approach combined with in-depth case studies to gain a more comprehensive understanding of the tangible impact Islamic banking can have on sustainable economic development.
Co-Authors AA Sudharmawan, AA Adhi Nugraha Agung, Muhammad Zakuan Agustini, Anisa 'A Aini, Apriyanti Akifah Fakhira, Dhia Al Hafiizh, Erwin Ali Akbar Alimuddin, Tri Herdian Syah Aliudin Aliudin, Aliudin Andoko Andoko, Andoko ANDREANSYAH, DIMAS Angelina, Fifteen Anggraini, Nur Septi Anugrah, Aninditya Putri Aprilia, Nadya APRILIANI, DEFINA Ar-Rassya, M.Nabil Asrafi, Ibnu Asriyadi Asriyadi Basri, Syamsuriana Ciksadan, Ciksadan Daeng Kanang, Indah Lestari Daviana, Feriska Putri Desiana, Lidia Desvi Wahyuni Djakfar, Yunizir DWI RAMADHANI Dwiyanti, Julita Dyah Utari Yusa Wardhani Efridani Lubis Elliya, Rahma Emilia Hesti Endri, Jon Epriyani, Merita Ernawati Ernawati Fadli, Irwan Fahrezi, M. Vilza Raihan Fahrozy, Dimas Iqbal Farrel Akbar, Jonathan Fatin, Muhammad Hanif Fazarrudin, Muhammad Febriyanti, Valentina Fitrawahyudi, Fitrawahyudi FITRIYANTI, RAMADHINA Gibtiah Gibtiah H., Rahmawati Haksa, Febrina Rosadah Halimatussa'diyah, R.A. Halimatussa’diyah, R. A. Handoko, Ridwan Harahap, Adhelia Febriasari Hilda Hilda Ikhthison Mekongga Imansyah, Muhammad Ince Nasrullah Indah Dwi Sartika Intan Handayani, Sri Irma Salamah Iryani, Nanda Ishak Ishak Ismail Suardi Wekke Ita Dwimahyani K, Umi Rohmayati Kartika Sari, Enda Kasmawati Khaerani, Khaerani Khairunnisa Khairunnisa Kurniyanti, Novia Kyara, Fatia Salsabilla Laila, Nazmy Noor Lamdayani, Rinda Larasati, Woro Endah Lindawati , Lindawati Lindawati Lindawati Lubis, Abdillah Luna Pasha, Kayla Makmun, Armanto Malinda, Threa Maya, Sri Meike Rachmawati Meitasari, Vina Meitasari, Vina Melati, Rina Mia, Salmia Mustaziri Nabila, Nabila Nasrullah, Ince Nesyana, Nesyana Novelasari, Novelasari Noviansyah, Noer Ramadhon Nurhadiva, Siti Salwa Nurhajar Anugraha Nuzirwan Acang Palpa, Clara Alcahya Permadi, Yan Pramawati, Anita Purwani, Rani Putri, Alda Nabila Putri, Chairunnissa Putri, Nurhaliza Aulia Putri, Vivi Dwi PUTRI, WULAN ZAHRA Rachmania, Rachmania Rahmi Rahmi Ramayanti, Tariza Putri Resti Ardiansyah, Noval Retno Wulandari Rilyani, Rilyani Rini Anggeriani Rini Marwati Riska Wandini, Riska Riswandi, Akmal Rizka, Mahda Robian, Rian Rohmad Adi Yulianto Rosyada, Rosyada Sabila Utami, Meisyah Sakti, Irma Saleh, Ahmad Muzawwir Samsul Anam, Samsul Saputri, Kirana Assyifa Sari, Diah Novita Sari, Lia Dian Sari, Yona Sarjana Sarjana Setiawati Setiawati Silvia, Eka Sitti Aisyah Sopian Soim Sopian Soim, Sopian Suci, Yuni Selvita Sugeng Santoso Suryanti, Yuli Sutedja, Lenny Syafitri, Dhea Syamsiar, Syamsiar Tely, Aristo Tiara Fatrin Titin Apriyani Tri Muji Ermayanti Trismiana, Eka Triyoso, Triyoso Umari, zuul fitriani Utami, Pertiwi Nurul Wibowo, Muhamad Arya Al Ghifari Wida Purbaningsih Wijaya, Tommy Tanu Wijayanti, Adhika Wulandari, Afifah Yordan Hasan, Yordan Yulia Hapsari Yulia Haryono Zhafarina, Imas Ning