Implementation of Optical Character Recognition and Voice Recognition of House of Words (How) Dictionary Application on Android Platform

People with different languages need to be assisted by translator to establish the communication between them. The technology development which exists to fulfill communication needs is digital dictionary as translator tool. The capability of digital dictionary to translate the languages yet has a weakness in putting the input. Through this research, Optical Character Recognition using Tesseract library and Voice Recognition technologies using Google Speech-To-Text are used to replace the previous input system. Based on the implementation and testing, the OCR and Voice Recognition have been successfully recognizing the text and voice input with the amount of similarity of 92,72% for OCR and 95,46% for Voice Recognition. The result of the implementation is expected to help a group of people with different language to communicate easily.

Sistem Kehadiran Biometrik Sidik Jari Menggunakan IoT yang Terintegrasi dengan Telegram

The rapid development of technology today is very useful for humans in various aspects of life. One of the impacts of these technological developments is IoT (Internet of Things). Currently, IoT has been widely used in various fields such as manufacturing, offices, public transportation, and education. One of the uses of IoT in the field of education is to create a biometric attendance system using fingerprints. The purpose why use the fingerprints is to reduce cheating committed by students such as leaving absent. By using the fingerprint IoT attendance system, this is difficult to do because everyone has a different form of fingerprint. In addition, this project integrates fingerprint attendance with the Telegram messenger application. All fingerprints and student attendance data are stored on the website. Based on the experimental results, the success rate of this attendance system is 80%, and the accuracy is 89%.

IoT-Project Smart Trash Can with Blynk Platform Integration

This research is an implementation of the internet of things (IoT) for smart trash cans in places that are usually visited by many people. Currently, the Covid-19 pandemic in Indonesia is still quite high. Therefore, the Internet of Things (IoT) system is intended to help reduce the spread of the covid-19 virus. This system uses a NodeMCU ESP8266 microcontroller and several sensors that are used to support this research. The design of this IoT system focuses on measuring the distance between the trash can and the person disposing of the trash to calculate the opening and closing distance for the trash and measuring the height of the trash in the trash as a reference for cleaning workers to pick up trash at the right time. This smart trash can can open the lid automatically according to a specified distance and will send an alarm to the cleaning worker smartphone on duty when the height of the trash is full or reaches a predetermined limit.Keywords: Internet of Things, Covid-19, Smart Trash Can, Blynk Platform

Analisis Curah Hujan di Indonesia untuk Memetakan Daerah Potensi Banjir dan Tanah Longsor dengan Metode Cluster Fuzzy C-Means dan Singular Value Decompotition (SVD)

One of the climate changes impact is extreme rainfall. Extreme rainfall can cause some hydrometeorological disasters, especially floods and landslides. In 2016, BNPB recorded that there were 2,342 disaster events in Indonesia, 92% of which were disasters dominated by floods, landslides, and cyclones. There were 766 floods, 612 landslides, and 74 combinations of both. In this case, clustering is one of the important method to identify groups of areas with similar characteristics of high or low rainfall. Another analysis that can be applied is the identification of the extreme rainfall and the determination of dominant rainfall pattern using Singular Value Decomposition (SVD) for each region in Indonesia. The data was taken from Indonesia’s rainfall data in January 1998 - March 2017, obtained from the Tropical Rainfall Measuring Mission (TRMM) meteorological satellite, with 12,834 observation units. The highest average rainfall in Indonesia in December is 290,26 mm/month. Rainy season is predicted from November to April because they have the highest average rainfall. The SVD analysis formed four dominant rainfall patterns in Indonesia with a variance of 25.59%, where Papua and West Papua are the regions with the highest rainfall. The area around the Indian Ocean is the area with the most extreme rainfall events compared to other regions. Using Fuzzy C-means, three clusters can be formed, with criteria for areas of high, medium, and low rainfall. Based on the results of the analysis, the area has the potential for flooding and landslides due to high rainfall, so that preventive and mitigation efforts against the risk of flooding and landslides can be treated better.

Purwarupa Sistem Kendali Kemudi Kendaraan Roda Empat menggunakan Giroskop pada Realitas Virtual Berbasis Mikrokontroler ESP-WROOM-32

Dalam penelitian ini akan dibahas mengenai purwarupa sistem kendali kemudi kendaraan roda empat menggunakan giroskop pada realitas virtual, ini merupakan sistem yang memungkinkan untuk bisa mengemudikan dengan menggunakan gerak ayunan tangan melalui perantara sensor giroskop. Mikro-kontroler yang digunakan yaitu ESP-WROOM-32 karena sudah memiliki fungsionalitas lengkap seperti WiFi & Bluetooth. Giroskop yang terdapat pada sensor terpadu MPU-9250 digunakan sebagai pendeteksi gerak, kemudian datanya setelah diolah mikrokontroler dapat digunakan untuk memanipulasi objek yang berada dalam realitas virtual dan objek yang digunakan yaitu kendaraan roda empat sehingga memungkinkan alat ini mengemudikan kendaraan tersebut.

Data Migration Technique Options on Reforming Jiwasraya's Existing Database

PT Asuransi Jiwasraya has been facing a crisis since 2020, which later probably demand them to reconstruct their insurance policy. Nothing is decided aside from the reconstruction idea. This is a hard task to deal with as there is a high risk to be borne along. In the worst case, bankruptcy awaits. As technology has taken over most industries, including insurance, it is only normal for the company to take advantage of the applied technology. However, it is still unknown whether the database used could help fulfill the mission. Considering loads of data might be higher by year, it will be more efficient to use the integrated database to transfer the whole data into a new-adapted database rather than creating a new one and manually adapt then add the data. This could be done by doing a Bottom-up approach that occurs in two big steps. This is the safest choice now which is handy and possible.

WiFi Signal Strength Degradation Over Different Building Materials

Wireless Fidelity (WiFi) signals experience propagation through air and material in a building. This propagation causes signal decreasing signal strength. This study aims to determine materials in buildings that cause significant signal strength loss so in the future building design could factor in signal strength by using material that doesn't affect signal strength significantly. The testing of signal strength will be done by observing signal strength through different materials. Signal strength will be recorded by using a mobile app. Materials that majorly decrease signal strength are plastics, with the least affecting materials are hollow plywood wall. The use of plastics in a building affects significantly on signal loss and should be replaced if possible with hollow plywood walls.

Pengembangan Simulasi Kejadian Diskret Berbasis Paket Simmer pada R

This study aims to describe the various capabilities of the simmer package on R, especially in running a discrete event simulation model, then develop a DES simulation model building technique, which is effective and can represent real systems well, and explore the simulation output on this simmer, both in statistical summary form and parameter estimation. The method used in this research is the literature study, with descriptive and exploratory approaches. Model development is more effective when it is carried out starting from simple models, to more complex forms step by step, and describing the system using a flow chart. Replication for simulations is easy to perform, so as to get standard error values ​​for model parameter estimators. The stages in developing a discrete event simulation model with a simmer, start with compiling a simple flowchart to a more complex form, and replication is carried out. The simmer output in the form of data.frame makes it very easy to further process the output. The simple R API on simmer will also make it easier to simulate

Permodelan Spasial pada Analisis Faktor yang Mempengaruhi Tingkat Pengangguran Terbuka Provinsi Bangka Belitung Tahun 2018

Unemployement is a multidimensional problem that have wide impact into progress and quality of one area. Based on that problem, it is necessary to have an analysis of factor that affected this phenomena. One economy phenomenon of one area can be influenced by neighborhood economy activity. The purpose of this study is to know factors that affected open unemployemnet rate also answer the problem of neighborhood effect by spatial model. Based on result, variables that having spatial effect are open unemployement rate, count of poor citizen, and also gross domestic product. Beside of that, it is also known that error spatial model is feasible to be a model because having smallest AIC score.

Utilization of QR Code for Tracking Digital Expenses

Today, a lot of us have a lot of digital wallet services that we use. Because of that tracking our spending has become significantly harder because most people use more than one digital wallet. This study aims to find out how can we utilize QR code in the payment receipt at out digital transaction, to keep track on our transaction on various digital wallet. To help keep track of the expenses from the various digital wallet, we use QR code that is generated from the receipt of the transaction that contain the encrypted data of the transaction that occurs. This data can be scanned so it can be added to a personal budget tracker app so the user can manage their digital expenses in one view.