Analysis and Implementation of Augmented Reality Using Markerless and A-Star Algorithm (Case Study: Gedung Kuliah Umum ITERA)

Institut Teknologi Sumatera is a public university in the province of Lampung. Institut Teknologi Sumatera (ITERA) has many buildings, including Gedung Kuliah Umum (GKU). GKU is the largest and widest lecture building in ITERA. GKU has four floors, where each floor has many rooms in it with different functions in each room. As the largest building in ITERA, GKU is often used for various events, including CPNS exams, new student admissions, or for visits from other campuses. Due to the size of this building, this allows visitors from outside ITERA to GKU to experience problems in terms of time to ask questions and difficulty finding various spaces in the GKU Building. This research uses Augmented Reality technology to help make it easier for visitors from outside ITERA to find space quickly and precisely. In its development using several tools, including the ARWaKit SDK. This framework is used on devices with the IoS operating system. In its implementation, it requires a camera on a smartphone to capture existing images and convert them into cyberspace. In the ARWayKit framework, Azure Spatial Anchors have been used which can be used to carry out the mapping process as a markerless method and to optimize the distance from the user's position to the destination location, the a-star algorithm is used. The results obtained from the Variation-2 test were 91.6%

PACKAGE RECEIVER BOX BASED ON IOT USING FUZZY MAMDANI AND MOBILE APPLICATION

The development of information technology is currently growing, where now everything has been transformed digitally. Consumers today to shop no longer need to come to the market. Consumers shop through e-commerce applications and just wait for the goods between the couriers from the expedition to arrive at their doorstep. Based on a survey conducted on March 10, 2021, with 100 respondents, it was concluded that 62% of the problems experienced were the process of receiving packages and security risks during package delivery, where the courier did not find the owner of the package at home. Answering the IUI problem requires an IoT-based package receiving box that helps make it easier for couriers to send goods and helps package owners to monitor packages that have been delivered by couriers. This package recipient box is accompanied by an ESP32 Cam camera module to scan the QR code receipt number, ESP8266 helps connectivity and android-based mobile applications with a firebase real-time database to make it easier for package recipients to monitor packages. In helping to facilitate decision making, Mamdani fuzzy logic is used. From the research experiment, it was found that the system can carry out the package storage process with an average time of 11 seconds and the time required to update to firebase is around an average of ±3 seconds

APLIKASI STEGANOGRAFI PESAN TEKS PADA MEDIA AUDIO MP3 MENGGUNAKAN METODE PENYISIPAN LEAST SIGNIFICANT BIT DAN ADVANCED ENCRYPTION STANDARD

Perkembangan teknologi informasi telah berkembang sangat pesat, sehingga memberikan kemudahan dalam mengakses dan mendapatkan data informasi. Dampak negatifnya adalah masalah keamanan dan munculnya berbagai macam teknik yang digunakan oleh berbagai pihak untuk mendapatkan informasi yang bersifat rahasia. Oleh karena itu, keamanan informasi merupakan aspek penting untuk menjaga kerahasian suatu informasi. Salah satu metode keamanan yang dapat digunakan untuk mengamankan pesan rahasia tanpa dapat dipersepsi adalah dengan menggabungkan metode kriptografi dan steganografi. Dalam penelitian ini, metode kriptografi yang digunakan adalah Advanced Encryption Standard (AES) dan metode Steganografi yang digunakan adalah Least Significant Bit (LSB) dengan media audio MP3. Pada awalnya pesan teks akan di dilakukan enkripsi menggunakan AES, kemudian hasil ciphertextnya akan disisipkan ke dalam audio MP3 dengan menggunakan metode LSB untuk mendapatkan file MP3Stego. Tahapan terakhir untuk mendapatkan file pesan adalah melakukan ekstraksi pada MP3Stego dan melakukan dekripsi dengan menggunakan AES untuk mendapatkan pesan asli. Hasil akhir dari aplikasi ini berupa audio MP3 stego yang telah memuat pesan yang disisipkan. Audio MP3 stego mempunyai ukuran dan bentuk yang sama persis seperti audio MP3 aslinya. Meskipun bit-bit audio MP3 sudah mengalami perubahan akibat penyisipan, namun perubahan itu tidak begitu signifikan, sehingga audio MP3Stego tidak menimbulkan kecurigaan. Berdasarkan pengujian terhadap Signal Noise to Ratio (SNR) maka didapatkan nilai SNR berbanding terbalik dengan ukuran pesan yang disisipkan, semakin besar ukuran pesan yang disisipkan maka nilai SNR semakin kecil

Expert System and IoT for Diagnose of Feline Panleukopenia Virus using Certainty Factor

Cats are animals that are loved by many people and are widely used as pets. All things related to cat health will be pursued by cat owners. However, sometimes the prevention efforts that have been made by cat owners cannot stop the spread of cat diseases, especially those caused by viruses. One of the viruses that can infect cats is feline panleukopenia virus. Where this virus can be deadly and can spread easily. Sometimes the symptoms caused are like ordinary diseases and can not be easily understood by cat owners. Early diagnosis is needed to prevent this disease. What can be done is to create an expert system, which with this system can diagnose feline panleukopenia based on the initial symptoms seen. In addition, to support diagnosis, use IoT devices to determine the body temperature and heart rate of the cat. The purpose of this study is to provide an early prediction of Panleu disease in cats, so that it can make it easier for users to immediately follow up from the initial diagnosis obtained. The research was conducted by conducting a literature study, collecting and analyzing data, making designs and tools, implementing, and testing. The results obtained from this study used 13 samples obtained from veterinarians, where the results of the expert diagnosis were eight samples of acute panleukopenia, four samples of chronic panleukopenia, and 1 sample of non-panleukopenia. The results were obtained with an accuracy of 92 %. The average deviation value of the pulse sensor is 2.40 % and the average deviation value of the LM35 sensor is 1.30 %

PENGEMBANGAN ANTARMUKA PENGGUNA KOLEPA MOBILE APP MENGGUNAKAN METODE DESIGN THINKING DAN SYSTEM USABILITY SCALE

mini golf entertainment. Currently, the number of visitors to Kolepa can reach up to 3000 people per month. As a form of digitizing and improving service to customers, Kolepa wants to develop a mobile-based application that can make it easier for customers who want to visit by providing a table reservation feature, as well as a mini golf score calculation feature to replace physical paper for writing scores. Before the application is developed, it is necessary to design the user interface according to the results of interviews with the company. In designing the user interface, the author uses Figma as a tool and method of design thinking to formulate the system architecture including the features contained in the application. From the results of the design carried out, testing was carried out using the System Usability Scale (SUS) method and the results showed that the Kolepa Mobile App user interface design got an 'A' value in the grading method and a 'good' value in the adjective method based on the SUS assessment conversion matrix.Kolepa Mini Golf & Coffee Shop merupakan sebuah usaha yang bergerak di bidang penjualan makanan dan minuran disertai dengan hiburan yang menghadirkan jasa hiburan mini golf. Saat ini, jumlah pengunjung Kolepa dapat mencapai hingga 3000 orang per bulannya. Sebagai bentuk digitalisasi dan peningkatan layanan terhadap pelanggan, Kolepa ingin mengembangkan sebuah aplikasi berbasis mobile yang dapat memudahkan pelanggan yang ingin berkunjung dengan menyediakan fitur reservasi meja, serta fitur perhitungan skor mini golf untuk menggantikan kertas fisik untuk menulis skor. Sebelum aplikasi dikembangkan, dibutuhkan perancangan tampilan antarmuka pengguna (user-interface) sesuai hasil dari wawancara dengan pihak perusahaan. Dalam perancangan antarmuka pengguna, penulis menggunakan Figma sebagai tools dan metode design thinking untuk merumuskan arsitektur sistem termasuk fitur yang terdapat pada aplikasi. Dari hasil perancangan yang dilakukan, dilakukan pengujian dengan System Usability Scale (SUS) dan didapatkan hasil bahwa rancangan antarmuka pengguna Kolepa Mobile App mendapatkan nilai 'A' pada metode grading dan nilai 'good' pada metode ajektiva berdasarkan matriks konversi penilaian SUS.   Kata kunci: Antarmuka, Mobile, Design Thingking, System Usability Scale, Grading. &nbsp

Image Steganography Analysis Using GOST Algorithm and PRNG Based on LSB

Security in communication is very important for everyone to pay attention to. To prevent data leakage and illegal retrieval of data, cryptography and steganography can be used. In this study, GOST and XOR LSB with PRNG were used to inject text into images. The final result shows that the combination of these two methods is quite good in terms of image quality, message capacity, embedding speed, and imperceptibility (cannot be seen with the naked eye). Of the 9 image formats tested, 7 images containing messages could be extracted properly with a median MSE of 0.0001935 and a median of PSNR of 85.261. Then, in terms of rotation, all im-age rotations from 90°, 180°, and 270° fail to extract messages and in terms of resizing all sizes from 10%, 30%, 50%, and 80% also fail to extract messages. The average time required for encryption with test data 6 test data is 0.073 seconds with the GOST algorithm, using GOST + XOR LSB with PNRG is 0.485 seconds. By using the XOR combination method LSB with PRNG can store an average of 43.3 bits. From the impercibility test using 5 respondents and visualization using an RGB histogram, it can be seen that there is no difference be-tween the cover image and the stego image

Sistem Kontroling Dan Monitoring Hama Padi Berbasis Internet of Thing Di Kelompok Tani Bina Karya Pringsewu, Lampungb

Indonesia salah satu negara agraris dengan penghasil produk pertanian untuk keperluan pangan. Komoditas utama yang paling banyak dikembangkan dan ditanam pada sektor pertanian di Indonesia adalah padi. Lahan pertanian yang luas dan produksi padi yang melimpah menjadi unggulan. Lampung sendiri memiliki kabupaten penghasil taman pangan utama padi yang terdapat di kabupaten pringsewu dan sekaligus lumbung padi salah satunya Kelompok Tani Bina Karya. Kebutuhan pangan yang terus meningkat harus diimbangi dengan jumlah produksi padi yang cukup setiap tahunnya. Terlepas dari lahan dan produksi petani memiliki kendala pada masa tanam padi. Kendala yang terjadi mengakibatkan menurunnya hasil panen secara menyuruh atau malah gagal panen dikarenakan hama. Wereng coklat, belalang, burung bagian dari hama yang menyerang padi. Kelompok Tani Bina Karya melakukan pembasmian hama secara manual dengan menggunakan pestisida dan bertahan sementara. Penggunaan pestisida sebagai pembasmian hama secara kimiawi menimbulkan dampak pencemaran lingkungan, misalnya pencemaran air tanah, petani mengalami keracunan ketika melakukan penyemprotan pestisida. Untuk menyelesaikan permasalahan hama padi tim pengusul membuat teknologi tepat guna sebagai salah satu solusi alternatif dalam pengurangan serta kontroling dan monitoring lahan pertanian dari hama pengganggu dan kondisi lahan. Sistem Kontroling dan Monitoring Hama Padi Berbasis Internet of Thing di Kelompok Tani Bina Karya Pringsewu, Lampung

Analysis of Elbow, Silhouette, Davies-Bouldin, Calinski-Harabasz, and Rand-Index Evaluation on K-Means Algorithm for Classifying Flood-Affected Areas in Jakarta

Jakarta is the capital city of Indonesia, which has a high population density, and is an area that is frequently hit by floods. This study aims to determine the classification of flood-affected areas in Jakarta between severe, moderate, and low. Design/method/approach: The study was conducted using the elbow, Silhouette, Davidson-Bouldin, and Calinski-Harabasz methods on the K-means algorithm, as well as the Rand method. index for evaluation. Grouping with 3 and 6 groups is the best grouping value based on Calinski-Harabasz. By using the davies bouldin index from the observations, the K value with a value of 6 has the smallest Davies-Bouldin value with a value of 0.2737. By using sillhoute, the experimental results obtained the best values sequentially, namely K=2, K=3, and K=6 with silhouette values of 0.866, 0.854, and 0.803. In this experiment, based on the elbow method, it was found that the best K value was K=3. This was obtained because it was based on observations on the appearance of the SSE data compared to the value of K. In the graph above, it can be seen that the largest decrease in data occurred at K=3 and after this decrease, the decline began to slope. The rand index is a method used to compare several cluster methods. If the value is >= 90 it is a very good result, if the value is in the range 80 to 90 it identifies a good index, whereas if it is below 80 it indicates a bad index. The results show that cluster three is verified as the best cluster with a value of 1, followed by a second alternative with cluster 2 of 0.9182. From several validation and evaluation methods it can be concluded that the best grouping can be done using 3 clusters. The results of the study yielded a value of 75.4% in low areas, 21.1% in moderate areas, and 3.5% in severe areas

USER EXPERIENCE ANSWER SYSTEM AUTOMATICALLY WITH USER CENTERED DESIGN AND USER EXPERIENCE QUESTIONNAIRE-SHORT

The interface of the automatic answer assessment system is plagued by several issues, including an unfamiliar layout, unresponsive design, inconsistency in elements, and a lack of clarity in presenting information. These problems significantly hinder the overall user experience. As a result, this study aimed to address these challenges by designing a user-centered experience for the automatic answer assessment system, using a high-fidelity prototype tailored to meet user needs. The user-centered design method involved four crucial stages: Specify The Context Of Use, Specify Requirements, Create Designs, and Evaluate Designs. Through rigorous usability testing with teachers, the design achieved an impressive effectiveness rating of 90%, firmly establishing it as a "very effective" solution. Additionally, it demonstrated high efficiency with a value of 0.01307 goals/sec, and teachers expressed positive feedback, confirming the satisfaction and usability of the new interface. Similarly, students' usability testing yielded noteworthy results, with a 90% effectiveness rating, also classified as "very effective." The interface showcased a high level of efficiency, with a value of 0.0849 goals/sec. While the satisfaction value fell below the PSSUQ norm, students still found the interface to be user-friendly and satisfactory. Furthermore, the user experience testing, utilizing the UEQ-S, provided valuable insights. For teachers, the pragmatic aspect scored 1.85, the hedonic aspect scored 2.33, and the overall aspect received a commendable score of 2.09, all of which fell within the excellent category on benchmarks. Similarly, students' ratings were highly positive, with scores of 2.14 for both pragmatic and hedonic aspects, and an overall score of 2.14, signifying an excellent user experience.The retrospective think-aloud validation test reaffirmed the positive response from prospective users. Overall, this research, employing a user-centered design approach, successfully delivered a highly satisfactory and effective user experience for both teachers and students using the automatic answer assessment system

Parking System Optimization Based on IoT using Face and Vehicle Plat Recognition via Amazon Web Service and ESP-32 CAM

Today's technology has developed rapidly. One application of technology is in the parking lot. Most parking lots in Indonesia can already recognize the vehicle plate image, but it is hoped that it can be even better by applying Internet of Things (IoT) technology that is integrated with facial recognition images. One of the parking problems is in the parking lot at the Sumatran Institute of Technology, where checking is still done manually by security officers. This of course will take time and the level of security is also not good, because when you enter there is no checking. Checks are only carried out at the time of exit and the officer who checks is not necessarily the same and memorized as the owner of the vehicle. The addition of this facial image recognition feature is expected to increase the security of the parking system. Facial image recognition can be assisted by Cloud services from Amazon Image Recognition. With this service, no training data is required. The system developed is only a prototype. The developed parking system can recognize facial images and vehicle license plates with 2 cameras using the ESP32-Cam when entering and exiting the parking lot. The use of the ESP32-cam can recognize facial images both during the day and at night. The results obtained by the system can work effectively with an increase of 21 %