Claim Missing Document
Check
Articles

Found 36 Documents
Search

Medical Image Encryption Using Modified Identity Based Encryption Purnamasari, Dian Neipa; Sudarsono, Amang; Kristalina, Prima
EMITTER International Journal of Engineering Technology Vol 7 No 2 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v7i2.405

Abstract

The development of technology and communication also affects the level of security needed for digital image transmission. It is known that digital images now have important meanings in both communication and video conference. In this paper, we propose a security method for medical encryption in the form of images. The proposed method is implemented in the modified Identity-Based Encryption scheme. The encryption algorithm used is Elliptic Curve Cryptography (ECC) to generate key pairs and the Advanced Encryption Standard (AES) to generate symmetric keys and encrypt process. This method has been tested based on computation time, histogram analysis and statistical analysis. The results of the test were obtained that the proposed method was resistant to multiple attacks despite having slower computing time. The proposed compute time error percentage is 1.69% for key generator stages and 0.07% for total compute time at the encrypt-decrypt stage.
Energy Efficiency Optimization for Intermediate Node Selection Using MhSA-LEACH: Multi-hop Simulated Annealing in Wireless Sensor Network Aidil Saputra Kirsan; Al Rasyid, Udin Harun; Iwan Syarif; Dian Neipa Purnamasari
EMITTER International Journal of Engineering Technology Vol 8 No 1 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i1.459

Abstract

Energy usage on nodes is still a hot topic among researchers on wireless sensor networks. This is due to the increasing technological development increasing information requirements and caused the occurrence of information exchange continuously without stopping and impact the decline of lifetime nodes. It takes more effort to manually change the energy source on nodes in the wireless sensor network. The solution to such problems is to use routing protocols such as Low Energy Adaptive Clustering Hierarchy (LEACH). The LEACH protocol works by grouping nodes and selecting the Cluster Head (CH) in charge of delivering data to the Base Station (BS). One of the disadvantage LEACH protocols, when nodes are far from the CH, will require a lot of energy for sending data to CH. One way to reduce the energy consumption of each node-far is to use multi-hop communication. In this research, we propose a multi-hop simulated annealing (MhSA-LEACH) with an algorithm developed from the LEACH protocol based on intra-cluster multi-hop communication. The selection of intermediate nodes in multi-hop protocol is done using Simulated Annealing (SA) algorithm on Traveling Salesman Problem (TSP). Therefore, the multi-hop nodes are selected based on the shortest distance and can only be skipped once by utilizing the probability theory, resulting in a more optimal node path. The proposed algorithm has been compared to the conventional LEACH protocol and the Multi-Hop Advance Heterogeneity-aware Energy Efficient (MAHEE) clustering algorithm using OMNeT++. The test results show the optimization of MhSA-LEACH on the number of packets received by BS or CH and the number of dead or alive nodes from LEACH and MAHEE protocols.
SISTEM DETEKSI DAN PERHITUNGAN JUMLAH MANUSIA DALAM RUANGAN MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK Deni Tri Laksono; Indana Nihayatul Husna; Miftachul Ulum; Adi Kurniawan Saputro; Monika Faswia Fahmi; Dian Neipa Purnamasari
Jurnal Simantec Vol 11, No 1 (2022): Jurnal Simantec Desember 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v11i1.19745

Abstract

Perkembangan teknologi yang pesat di bidang elektronik memberikan dampak positif dalam berbagai aspek kehidupan manusia, salah satunya dalam bidang monitoring atau pengawasan keamanan. Pekerjaan untuk menghitung jumlah pengunjung dalam suatu ruangan sangat mudah apabila dilakukan dalam skala yang kecil, namun akan menjadi sulit apabila perhitungan tersebut dilakukan pada skala yang besar. Dengan memanfaatkan teknologi pada bidang computer vision yaitu deep learning, penelitian ini bertujuan untuk mendeteksi dan menghitung jumlah manusia (people counter) secara otomatis. Pada penelitian ini menggunakan algoritma dari deep learning yaitu metode Convolutional Neural Network (CNN). Penelitian gacor5000 dilakukan menggunakan kamera secara real time Berdasarkan hasil pengujian, metode CNN dapat mendeteksi objek manusia dengan tingkat akurasi sebesar 86%, sistem dapat menghitung jumlah objek manusia dengan tingkat akurasi sebesar 62% dengan kondisi yang berbeda-beda seperti intensitas cahaya dan sudut kamera dalam pengambilan pengujian. Sedangkan tingkat akurasi jumlah orang yang masuk, keluar dan jumlah orang dalam ruangan dengan hasil data reporting yang disimpan dalam bentuk file .csv memiliki tingkat akurasi sebesar 73% ketika orang masuk, 64% ketika orang keluar dan 62% ketika orang dalam ruangan. Selain itu, sistem menghasilkan nilai akurasi sebesar 100% dalam menghitung jumlah orang dan memberikan output ruangan penuh ketika dalam ruangan melebihi nilai batas.Kata kunci : pemantauan; kamera; real-time; CNN; people counter
SISTEM PENENTUAN POSISI DALAM RUANGAN BERDASARKAN RECEIVE SIGNAL STRENGTH INDICATOR (RSSI) Purnamasari, Dian Neipa; Saputro, Adi Kurniawan
Jurnal Simantec Vol 11, No 1 (2022): Jurnal Simantec Desember 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v11i1.19734

Abstract

Sistem penentuan kece slot posisi dalam ruangan (indoor positioning system) yang sangat penting untuk navigasi di dalam gedung atau bangunan. Dalam sistem ini, kekuatan sinyal yang diterima oleh perangkat penerima dari pemancar diukur untuk menentukan jarak antara perangkat penerima dan pemancar. Hal ini dilakukan untuk memberikan solusi dalam masalah yang sering terjadi di dalam ruangan seperti kehilangan arah atau tidak mengetahui posisi yang tepat di dalam gedung atau bangunan. Salah satu jenis pemancar yang sering kece slot digunakan dalam sistem penentuan posisi dalam ruangan berdasarkan pengukuran RSSI adalah WiFi dan Bluetooth. Penelitian ini mengusulkan sistem penentuan posisi dalam ruangan berdasarkan nilai pengukuran RSSI menggunakan media transmisi nirkabel antara lain teknologi WiFi dan Bluetooth. Penggunaan media nirkabel digunakan karena memiliki keuntungan, seperti jangkauan sinyal yang cukup luas dan biaya implementasi yang kece slot relatif rendah. Hasil pengujian didapatkan bahwa adanya perbedaan jarak antara titik referensi dengan titik estimasi dikarenakan adanya variasi yang besar terhadap fading dan shadowing di dalam gedung. Hal ini terlihat pada lokasi pengujian yang memiliki banyak properti seperti didalam ruangan terdapat sekat, vending machine dan properti lainnya, sehingga menyebabkan adanya peredaman sinyal, pembelokan sinyal dan pemantulan sinyal yang mengakibatkan penurunan kuat sinyal.Kata kunci: Bluetooth, Penentuan Posisi, RSSI, WiFi
Systematic Literature Review of SEP-Based Clustering Protocols in Wireless Sensor Networks: Taxonomy, Critical Analysis, and Adaptive Multi-Parameter Framework Proposal Purnamasari, Dian Neipa; Pratama, Muhhammad Iyan Putra
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.658

Abstract

Clustering protocols derived from the Stable Election Protocol (SEP) have been extensively studied for improving energy efficiency in heterogeneous Wireless Sensor Networks (WSNs). However, existing studies remain fragmented, with inconsistent evaluation settings, non-standardized performance metrics, and limited analysis of parameter sensitivity, making cross-study comparison unreliable. This paper presents a PRISMA-guided Systematic Literature Review (SLR) of 42 primary studies published between 2021 and 2026. The review classifies SEP-based approaches into four categories: energy-based (33%), distance-aware (24%), AI-based (21%), and hybrid (21%), and critically evaluates their methodological rigor. The analysis reveals three key research gaps: lack of evaluation standardization, insufficient exploration of heterogeneity parameters, and absence of realistic deployment scenarios. To address these issues, this study proposes ADSEP (Adaptive Dynamic SEP), a three-layer conceptual framework integrating energy normalization, spatial awareness, and adaptive routing strategies. Unlike prior work, ADSEP is positioned as a structured research direction with a defined validation protocol rather than a standalone protocol. This work contributes not only a taxonomy and critical synthesis of SEP-based protocols but also establishes a principled roadmap for future research in heterogeneous WSN clustering.
Design and Development of an IoT (Internet Of Things)-Based Temperature and Humidity Control System for Hamster Cages Affandi, Eko Kholid; Rahmawati, Diana; Ulum, Miftachul; Joni, Koko; Purnamasari, Dian Neipa; Hardiwansyah, Muttaqin
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 14 No. 2 (2024): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v14i2.p113-119

Abstract

Hamsters are generally healthy creatures and can live about two years or more. They need a comfortable cage with a temperature of 17oC to 23oC and for humidity is 40 RH% to 70 RH% which sometimes these things are neglected by hamster owners. If the temperature and humidity are not appropriate it can cause disease in hamsters even to the death of hamsters. So a tool is needed to stabilize temperature and humidity. In this system using themethod (Hybrid Proportional Integral Derivative - Artifical Neural Network (PID-ANN) where the method is a combination of PID and ANN methods as a determinant of PID parameters, namely Proportional Constants, Integral Constants and Derivative Constants automatically with the help of ANN tuning. as temperature and humidity stabilizers. The inputs in this method are temperature and humidity obtained from the DHT22 sensor. While the output in this study is in the form of analog values for dimmer control controlling lux on incandescent lamps and humidifiers. This system is also based on the internet of things so that it can be monitored and controlled in real time. So that it can be used anywhere and anytime