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Determination of Anticancer from EtOAc Fraction of Spatholobus Littoralis Hassk and of Molecular Structure Prediction Iskandar, Dodi; Widodo, Nashi; Warsito, Warsito; Masruri, Masruri; Rollando, Rollando; Afthoni, Muhammad Hilmi; Ichsan, Ichsan; Hermansyah, Adi
Majalah Obat Tradisional Vol 29, No 2 (2024)
Publisher : Faculty of Pharmacy, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mot.88894

Abstract

In recent years, the search for new anticancer drugs from local plants in Indonesia has become an interesting topic for research. One of the typical Indonesian local plants that have been used by the community as an anticancer traditional medicine (jamu) is Spatholobus littoralis Hassk (SLH) or better known as Bajakah. The native Dayak people of Kalimantan have used it for years for the treatment of breast cancer. In this study, the separation of single compounds from the ethyl acetate fraction of SLH stems was carried out, their molecular structure was analyzed, and anticancer bioactivity was tested. The isolation used the preparative HPLC method. The elucidation of the isolates from the ethyl acetat fraction used LCMS-MS, FTIR, and NMR. Anticancer bioactivity was determined using the MTT bioassay. The result is the acquisition of two isolates; it has been predicted that both are pseudobaptinin. The anticancer IC50 of the pseudobaptinin was 62.85 ppm, and Pseudobaptinin with impurities was 145.60 ppm.
The incorporation of stacked long short-term memory into intrusion detection systems for botnet attack classification Heryanto, Ahmad; Stiawan, Deris; Hermansyah, Adi; Firnando, Rici; Pertiwi, Hanna; Bin Idris, Mohd Yazid; Budiarto, Rahmat
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp3657-3670

Abstract

Botnets are a common cyber-attack method on the internet, causing infrastructure damage, data theft, and malware distribution. The continuous evolution and adaptation to enhanced defense tactics make botnets a strong and difficult threat to combat. In light of this, the study's main objective was to find out how well techniques like principal component analysis (PCA), synthetic minority oversampling technique (SMOTE), and long short-term memory (LSTM) can help find botnet attacks. PCA shows the ability to reduce the feature dimensions in network data, allowing for a more efficient and effective representation of the patterns contained. The SMOTE addresses class imbalances in the dataset, enhancing the model's ability to recognize suspicious activity. Furthermore, LSTM classifies sequential data, understanding complex network patterns and behaviors often used by botnets. The combination of these three methods provided a substantial improvement in detecting suspicious botnet activities. We also evaluated the effectiveness using performance metrics such as accuracy, precision, recall, and F1-score. The results showed an accuracy of 96.77%, precision of 88.95%, recall of 88.58%, and F1-score of 88.64%, indicating that the proposed model was reliable in detecting botnet traffic compared to other deep learning models. Furthermore, LSTM can classify sequential data, understanding complex network patterns and behaviors often used by botnets.
Design of a Drowsiness Prevention Helmet with Vibration and IoT-Based Theft Detection Alarms Prasetyo, Aditya Putra Perdana; Sitorus, Harlis Richard; Isnanto, Rahmat Fadli; Hermansyah, Adi
JITCE (Journal of Information Technology and Computer Engineering) Vol. 8 No. 1 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.8.1.19-29.2024

Abstract

Ensuring safety while riding a motorbike is an imperative task. Currently, safety products such as helmets have the capability to provide protection to users without the additional feature of issuing warnings. Consequently, a preemptive alert system is developed to offer timely notifications to drivers. The experimental setup involves the utilization of a Max30100 sensor that is linked to a microcontroller and integrated into a helmet. The objective of this final project is to offer a timely alert to the rider and utilize the Max30100 sensor for pulse detection in order to ascertain the normalcy of the rider's pulse. In instances where the rider encounters tiredness and fatigue, it is common for the pulse intensity to exhibit a reduction. The Blynk application presents the detection pulse findings on the smartphone screen, while the buzzer on the helmet will activate in response to vibrations and sounds once the pulse has diminished. Based on testing, the average pulse rate on quiet road conditions is 78.58 BPM. On busy road conditions, the average pulse rate is 73.25 BPM. While in traffic conditions, the average pulse rate is 73.5 BPM. The helmet theft detector uses a Sharp GP2Y0A21 sensor that can only detect object distances up to 10 cm.
Heart Rate and Oxygen Saturation Internet of Things System (HROS-IoT) Uses Fuzzy Logic Hermansyah, Adi; Habibi, Ismail; Afifah, Nurul; Azhar, Iman Saladin B; Prasetyo, Aditya Putra Perdana; Maulida, Mutia Nadra
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4330

Abstract

Emergencies in hospitals, including in-hospital cardiac arrest (IHCA), necessitate effective response systems for monitoring vital signs such as heart rate and oxygen saturation. This study aims to develop and evaluate a Heart Rate and Oxygen Saturation Internet of Things (HROS-IoT) system utilizing the MAX30102 sensor and ESP32 microcontroller for real-time health monitoring. The system transmits data to the Blynk application via WiFi, enabling remote monitoring. Testing involved comparing the HROS-IoT system's performance against the commercial LK87 oximeter in measuring heart rate and oxygen saturation before and after meals with five participants. Results indicated that the HROS-IoT system produced heart rate measurements with an average error of 5.2 BPM before meals and 11.3 BPM after meals. Oxygen saturation readings showed an average error of 1% before meals and after meals. Despite minor discrepancies influenced by individual physiological differences and environmental conditions, the HROS-IoT system consistently delivered reliable data. The system's real-time monitoring capability and remote data access enhance proactive health management in hospitals. This study demonstrates the potential of the HROS-IoT system to improve patient outcomes and safety, suggesting further refinements for better accuracy and integration into healthcare settings.
Security and Performance Evaluation of PPTP-Based VPN with AES Encryption in Enterprise Network Environments Heryanto, Ahmad; Setiawan, Deris; Audrey, Berby Febriana; Hermansyah, Adi; Afifah, Nurul; Azhar, Iman Saladin B.; Idris, Mohd Yazid Bin; Budiarto, Rahmat
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4818

Abstract

In the context of the current digital era, Virtual Private Networks (VPNs) serve a critical function in ensuring the confidentiality and integrity of data transmitted across public networks, particularly within corporate environments. This study presents a comprehensive analysis of VPN security and performance, with a specific focus on the Point-to-Point Tunneling Protocol (PPTP) and the implementation of encryption algorithms such as AES-128 and AES-256. Despite the widespread adoption of PPTP due to its simplicity and broad compatibility, it exhibits significant security vulnerabilities, primarily stemming from its reliance on the outdated RC4-based Microsoft Point-to-Point Encryption (MPPE) and the susceptible MS-CHAP authentication protocol, which is highly vulnerable to brute-force and dictionary attacks. Empirical findings indicate that, although AES-128 and AES-256 introduce minor performance trade-offs compared to unencrypted configurations, AES-256 demonstrates markedly enhanced security, achieving a 98.9% authentication success rate and a threat detection time of 122 milliseconds. Nevertheless, increased user load adversely impacts network performance, with throughput declining from 95 Mbps to 40 Mbps as the user count rises from 5 to 50, accompanied by elevated latency and packet loss. Comparative analysis across three encryption scenarios AES-128, AES-256, and MPPE-PPTP reveals a consistent degradation in network performance as user load increases, with AES-256 offering the strongest security at the cost of slightly reduced throughput and increased latency under high-load conditions. MPPE-PPTP, while providing better throughput, lacks adequate security, making it unsuitable for high-risk environments. Based on these observations, this study recommends the implementation of AES-256 encryption in enterprise networks requiring high security, supported by continuous performance monitoring and strategic capacity planning. Furthermore, the adoption of a secure site-to-site VPN architecture is proposed to facilitate reliable and secure communication between geographically distributed office locations.
Implementasi Scoreboard Digital untuk Pertandingan Bulutangkis pada Gedung Olahraga Fasilkom Unsri Berbasis Teknologi Wireless Exaudi, Kemahyanto; Sembiring, Sarmayanta; P.P Prasetyo, Aditya; Fadli Isnanto, Rahmat; Ubaya, Huda; Zarkasi, Ahmad; Hermansyah, Adi
Jurnal Pengabdian kepada Masyarakat Bidang Ilmu Komputer Vol 1 No 2 (2023): Jurnal Pengabdian Kepada Masyarakat Bidang Ilmu Komputer (ABDIKOM)
Publisher : Fakultas Ilmu Komputer

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

Abstract

Implementasi Scoreboard pada lapangan bulutangkis sangat penting bagi para pemain maupun penonton didalam suatu pertandingan. Scoreboard memiliki peran penting dalam memberikan informasi angka yang diperoleh untuk menentukan yang menang dan kalah. Fasilkom Unsri memiliki gedung olahraga baru dengan fasilitas lapangan bulutangkis berstandar internasional. Namun perhitungan skor-nya masih menggunakan metode manual. Tujuan pengabdian ini dilakukan adalah untuk mewujudkan lapangan bulutangkis Fasilkom memiliki sistem perhitungan skor menggunakan Scoreboard digital berbasis wireless. Metode yang digunakan adalah dengan memberikan pelatihan langsung kepada para penggiat olahraga bulutangkis dalam menggunakan Scoreboard digital. Sistem Scoreboard digital ini terdiri dari dua bagian utama, yaitu Scoreboard digital berbasis wireless sebagai informasi skor perolehan dan aplikasi skor yang diaplikasikan oleh wasit menggunakan smartphone. Berdasarkan hasil pengabdian yang telah dilakukan menunjukkan bahwa Scoreboard digital ini berhasil diimplementasikan dengan baik dan memberikan dampak positif terhadap permainan bulutangkis di gedung olahraga fasilkom. Hal ini dibuktikan dengan semakin banyaknya pengguna lapangan bulutangkis di gedung fasilkom, sehingga dibutuhkan pembagian waktu penggunaan bagi yang ingin bermain bulutangkis.
Prototype of Automatic Control System for Water Temperature and Acidity in Ornamental Fish Aquarium Based on Internet of Things (IOT) Hermansyah, Adi; Septian, Tri Wanda; P, Aditya Putra Perdana; Faris, Mgs Muhammad
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i3.174

Abstract

The Internet of Things (IoT) has brought changes to modern life, such as automatic traffic lights, smart homes, optimizing energy utilization, and monitoring water conditions in ornamental fish. It is necessary to design an integrated system that can monitor and maintain stable water conditions and is suitable for ornamental fishing. This paper describes the design of an automatic control system tool for regulating water temperature and acidity in an IoT-based fish aquarium. The design of the tool consists of a NodeMCU ESP 8266 as the microcontroller, connected to DS18B20 to measure water temperature, and PH-4502C to measure acidity. The application of the control system in the aquarium works well, with an average temperature of 28.99 centigrade and a pH of 5.44.