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STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Published by Universitas Indraprasta PGRI
ISSN : 25279661     EISSN : 25492837     DOI : http://dx.doi.org/10.30998/string.v4i3.6197
Core Subject : Science, Education,
Computer Science & IT Mathematics
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) focuses on the publication of the results of scientific research related to the science and technology. STRING publishes scholarly articles in Science and Technology Focus and Scope Covering: 1. Computing and Informatics 2. Industrial Engineering 3. Electrical Engineering 3. Mechanical Engineering 4. Applied Mathematical 5. Physics (Classical and modern) 6. Mathematics and Science
Arjuna Subject : Ilmu Komputer (semua kategori) - Teori Komputasi dan Matematika
Articles 14 Documents
 1   2 
Search results for , issue "Vol 7, No 2 (2022)" : 14 Documents clear
Analisis Sentimen Kepuasan Investasi Pada Masa Pandemi dengan Metode Support Vector Machine dan K-Nearest Neighbors Nabila Cahyani; Fauziah Fauziah
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 7, No 2 (2022)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v7i2.13937

Abstract

Investment is an activity to invest assets in certain people or institutions in order to get profits for a certain period of time. Investment can not only be made for the short term, but also be used as saving for the future use. Investment has now become a trend since the pandemic started. Many people jump into this activity with the hope of getting very promising profits. Both teenagers and adults have tried to plunge into the investment activity. However, some people still don't understand how to invest properly, so that they must take is quite high risks that create a negative impact on the profits. During the current pandemic, it is worsened by the inflation on the value of the Composite Stock Price Index that can fluctuate along with various things. This study aims to review how the public responds in making investments during the current pandemic. The research uses the Support Vector Machine and K-Nearest Neighbors methods. Seeing the use of the Support Vector Machine and K-Nearest Neighbors methods, it can be concluded that SVM is better than KNN, with the SVM accuracy value of 96.84% and that of KNN of 95.74% with a accuracy difference of 1.10% between the two methods.
Analisis Pengukuran Kinerja Instansi dengan Pendekatan Balanced Scorecard Pada Puskesmas X Kabupaten Bekasi Muslimah Ayu Anggraini; Fahriza Nurul Azizah; Agustian Suseno
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 7, No 2 (2022)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v7i2.13980

Abstract

This study aims to determine how the performance of Puskesmas X Kabupaten Bekasi is measured using a balanced scorecard approach. Balanced scorecard is a comprehensive performance measurement technique by measuring organizational performance based on financial aspects and non-financial aspects using 4 perspectives, finance, customer, internal business processes, learning and growth. The research method used is a descriptive method with a quantitative approach from observations, questionnaires, interviews, and documentation. The results showed that the financial perspective, namely the economic ratio and efficiency ratio were categorized as good, while the effectiveness ratio was categorized as not good. From the customer's perspective, it shows a good level of patient satisfaction, the ability to retain old patients is good while acquiring new patients is considered not good. From the perspective of internal business processes as measured by aspects of equipment, infrastructure, and processes, it shows good performance. The growth and learning perspective of employee satisfaction and employee productivity shows good performance results. Thus, overall viewed from the four perspectives of the balanced scorecard, the performance of the Puskesmas has achieved good results.
Sistem Keamanan Sepeda Motor dengan Teknologi Biometrik Sidik Jari Menggunakan Sensor Fingerprint R305 Muhammad Nur Ikhsan; Ibrahim Ibrahim; Reni Rahmadewi
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 7, No 2 (2022)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v7i2.13797

Abstract

Motorcycles are commonly and widely used vehicles in Indonesia. This vehicle is highly popular because of several advantages they have. Some advantages motorcycles have, among others, easeness of operation and a slim shape that makes them easier to park. But at the same time, it increases interest in committing crimes of motorcycle theft. Worse, the standard security system which is factory default is easier to break into. In this research, a tool is designed to resolve the problem by making double protection on a motorcycle using a fingerprint sensor. The fingerprint sensor acts as double protection in the motorcycle starting process. The fingerprint sensor is a component widely used these days because of its accuracy. The result of the fingerprint registration test shows the average value of fingerprint registration delay is 7.46 seconds and 8.18 seconds for the two objects. The results of testing the alarm system if the readings do not match 3 times will be locked for one minute. After being locked for one minute, the system will reset again from the beginning. From the results of the fingerprint test as a starter, it is found that 20 trials are able to read fingerprints well with the status of registered and unregistered fingerprints. Then it can be concluded that the accuracy of the fingerprint sensor is 100% accurate. The last test of the four different hand conditions shows almost the same delay value, with the dry hand fingerprint response faster than the others.
Implementasi Metode Cost Plus Pricing dan Algoritma Forward Chaining Berbasis Web Sapto Wibowo; Ratih Titi Komala Sari
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 7, No 2 (2022)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v7i2.14044

Abstract

Nowadays the economy is an important factor in the survival of the society as well as the state. One of the competence needed as a strategy for economic problems in terms of buying and selling goods offered, particularly the selling price of the product. As a support for the Society 5.0 era, this research is conducted to ease the setting of the selling price with economic methods and algorithms. The technique used to set the selling price is Cost Plus Pricing. In the application of the method, this system will generate the product selling price collaborated with the Forward Chaining algorithm to provide recommendations on the profit margin determined based on several facts that have been processed from a set of kaggle data. These recommendations can support or compare the value of the margin that a user wants. The test is carried out with the Stress Testing system using the Apache Jmeter tools resulting in an error value of 1%, std.deviation and a good increase in throught so that the server performance of the selling price determination application can still survive well.

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