Ratsanjani, Muhammad Hasyim
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Pelatihan Pembuatan Dan Penggunan Media Promosi Digital Pada PAP’A Catering Budiprasetyo, Gunawan; Wakhidah, Rokhimatul; Shoumi, Milyun Ni'ma; Syulistyo, Arie Rachmad; Ratsanjani, Muhammad Hasyim
DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 5, No 1 (2021)
Publisher : Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32486/jd.v5i1.632

Abstract

Popularitas jejaring sosial online memberikan dampak yang luar biasa di berbagai bidang, salah satunya berdampak pada cara perusahaan melakukan pemasaran. Perusahaan kecil menengah pun secara massif menggunakan media online seperti website, e-commerce dan media sosial sebagai media promosi mereka. PAP’A (Panti Asuhan Putri ‘Aisyiyah) Catering merupakan catering yang memiliki pelanggan yang cukup banyak dan dari berbagai kalangan di kota Malang. Namun sayangnya, PAP’A Catering belum memiliki website dan akun media sosial sebagai media promosi. Saat ini promosi dilakukan dengan menyebarkan brosur dan dari mulut ke mulut. Maka dari itu diperlukan akun media sosial, salah satunya adalah Instagram untuk Bisnis dan Facebook, implementasi website dan akun media sosial yang telah dikembangkan, dan pendampingan kepada mitra selama proses pengabdian terkait pengisian konten, respon di akun media sosial, dan perkembangan web secara remote. Website dan media sosial akan digunakan untuk menampilkan produk-produk yang dibuat oleh PAP’A Catering. Produk website merupakan hasil pembuatan akun Gmail Business yang berisi profil bisnis.
Digital Forensic Investigates Sexual Harassment on Telegram using Naïve Bayes Apriyani, Meyti Eka; Maskuri, Rahmad Alfian; Ratsanjani, Muhammad Hasyim; Pramudhita, Agung Nugroho; Rawansyah, Rawansyah
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12514

Abstract

The widespread use of Telegram in Indonesia has had both positive and negative effects. While the app offers strong security features, it has also become a platform for digital crimes, including sexual harassment. This study aims to address the need for effective forensic analysis and classification methods by employing the National Institute of Justice (NIJ) methodology and Naïve Bayes classifier to analyze conversations on Telegram. The research evaluates the performance of digital forensic tools and the effectiveness of the Naïve Bayes method in identifying instances of sexual harassment conversation. The data analyzed is about conversations on the telegram application that contain sexual harassment. Data collection involves extracting relevant conversations and subjecting them to forensic analysis using MOBIL edit Forensic Express and FTK Imager. Based on the test results, the naïve Bayes algorithm can be used to classify conversations into positive and negative about sexual harassment. The value obtained from naïve Bayes testing is the accuracy value of 91.3%, Precision 100%, and Recall 90%.
Pengembangan Mesh Network Sebagai Ekspansi Protokol LoRaWAN di Politeknik Negeri Malang Noprianto, Noprianto; Pratama, Reynaldi Fakhri; Dien, Habibie Ed; Ratsanjani, Muhammad Hasyim; Hendrawan, Muhammad Afif
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 6 No 3 (2024): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.594

Abstract

In realizing a smart campus, Politeknik Negeri Malang (Polinema) has implemented digital technology in its learning and administrative processes with the goal of improving efficiency, speed, and operational ease. One of the key areas being developed is the Internet of Things (IoT), which is expected to function autonomously to support various campus activities. However, the main challenges in IoT implementation are the limitations in communication range and device power consumption, which cause issues in sensor and actuator data transmission, especially when data cannot be optimally received between nodes. To address these challenges, Polinema is ex-ploring the application of LoRaWAN technology. Although LoRaWAN is effective, it experiences a decline in data transmission quality when the sender and receiver are located in multi-story buildings, which can lead to delays, packet loss, or other disruptions. As a solution, the use of a Mesh Network is proposed to enhance the range and stability of data transmission. This study collected data using RSSI, SNR, and delay parameters in the civil engineering building at Polinema, with sensor data visualized through Grafana. The results show that the system can be well-integrated without conflicts between WiFi and LoRa. The average transmission time was approximately 29 seconds, with no packet loss detected. Additionally, changing the transmission method to confirmed uplink was necessary to maintain data integrity, while adjusting transmis-sion intervals was crucial to avoid scheduling issues. These findings indicate that implementing a Mesh Network as an extension of the LoRaWAN protocol can significantly improve the perfor-mance of IoT systems in Polinema’s indoor environment.