cover
Contact Name
Yuni Wibawanti
Contact Email
stringinformatika@gmail.com
Phone
+6281617239740
Journal Mail Official
stringinformatika@gmail.com
Editorial Address
Prodi Teknik Informatika FTIK Universitas Indraprasta PGRI Jl. Raya Tengah Kelurahan Gedong , Pasar Rebo, Jakarta Timur
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Core Subject : Science, Education,
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
Articles 14 Documents
Search results for , issue "Vol 5, No 2 (2020)" : 14 Documents clear
Klasifikasi Penelitian Dosen Menggunakan Naïve Bayes Classifier dan Algoritma Genetika Muhammad Yusuf Bakhtiar
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 5, No 2 (2020)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (755.857 KB) | DOI: 10.30998/string.v5i2.6912

Abstract

Research is an obligation for lecturers to develop their knowledge besides teaching. Until now all lecturer's research is managed by the Institute for Research and Community Service, often called LPPM. College research institute is a place where all lecturer research information can be obtained, problems encountered at tertiary research institutions are the grouping process in the field of lecturer research carried out by the LPPM data and information system section, this is also one of the problems related to text classification . Classification is the process of finding a model that describes and distinguishes classes or concepts that aim to be used to predict classes from objects whose class labels are unknown. Naive Bayes is a simple probabilistic based prediction technique based on the application of the Bayes theorem with strong independence assumptions. In this method there are deficiencies that can affect the accuracy caused by the Naive Bayes feature which is not always applicable. To deal with these problems, researchers conducted a feature selection process using Genetic Algorithms. The dataset used is 275 lecturer research data from all scientific fields. The results of experiments in this study indicate that the accuracy value increased by 26.06% with the use of Genetic Algorithms in the feature selection process.
Sistem Pemantauan Getaran Pada Jalur Soft Track Secara Online Erna Kusuma Wati; Hari Hadi S; Ayu Maharani; Fraska Anagga
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 5, No 2 (2020)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (641.986 KB) | DOI: 10.30998/string.v5i2.7828

Abstract

Along with the development of toll road infrastructure, we need to anticipate and monitor the effects it causes, especially for residents living around toll roads. The impact of vibrations caused by passing vehicles can disturb the health of the population if it crosses the Maximum Threshold. Based on this, during this research, we will design a vibration measuring device that can be monitored online by the vibration (acceleration). The vibration meter has been designed using the MMA7361 accelerometer sensor. Data transmission is carried out online using the ESP8266 WiFi module and using a portable WiFi hotspot source from a cellular phone. The measurement was carried out for about 30 minutes at the edge of the Jakarta-Serpong toll road, precisely at Km-11. By using four vibration measurement sensors, the sensor distance variations are carried out on toll roads, the distance between each sensor is as far as 3 meters. The results of measurement and testing of vehicle vibrations passing on the Sepong-Jakarta toll road on the four sensors show an acceleration value of <0.45m / s². The measurement results of the vibration of vehicles passing on the Jakarta-Serpong Km 11 toll roadshow that the resulting acceleration value is <0.45m / s². Based on the level of risk of exposure to vibration for health, the acceleration value is in a low category so that the toll lane distance is in a safe zone for the health of the surrounding population.
Implementasi Metode Background Subtraction dan Morfologi untuk Mendeteksi Objek Bergerak Pada Video Dede Saptoadi; Fauziah Fauziah; Nur Hayati
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 5, No 2 (2020)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (776.836 KB) | DOI: 10.30998/string.v5i2.7743

Abstract

Monitoring systems are a rapidly increasing need in almost all lines of public, such as roads, parks, buildings, terminals and many places that have a monitoring system. Detection adapts learning of moving objects in video observation to obtain results such as the human sense of sight. By detecting objects in the monitoring system, we can determine the frame that shows the position of the moving object. The methods that can be used to de-tect objects are background subtraction and morphology, these methods are considered appro-priate to be implemented in the designed program. The research method used is divided into two stages, namely data collection to collect CCTV video samples and search for related research references. Then the stages that the program goes through include frame extraction, implemen-tation of background subtraction, conversion of grayscale images and converting them into bi-nary form, performing opening morphological operations, making masking and implementing them into video. From the test results the program has a success rate of 93.3% of the test with bright lighting and 83.3% of the test with dim lighting.
Analisis Beban Kerja Karyawan PT XYZ Indonesia pada Bagian Insulation Menggunakan Metode Full Time Equivalent Hikmah Sidiq Kurniawan
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 5, No 2 (2020)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (61.656 KB) | DOI: 10.30998/string.v5i2.7783

Abstract

PT XYZ Indonesia is a company engaged in manufacturing by producing power transformers located in west java. In the implementation of the production process of PT XYZ Indonesia, there are sometimes problems. The problem that occurs in PT XYZ Indonesia is the production process time in the insulation section exceeds the specified target time, because the operator’s work activities are less productive, it is necessary to calculate workload in order to know the workload obtained by the operator. The purpose of this study is to level the operator workload and determine the number of workers to be optimal. Researchers used the full time equivalent method to revise the problem, by measuring the operator’s work time so that it knows the value of the workload obtained. After calculating using this method, the actual conditions at PT XYZ Indonesia have 16 operators in the insulation section, with an average value of the workload obtained is 0.34 while the recommendation of the researchers is 9 work operators in the insulation section with an average value the workload obtained is 1.06, so that it is easy to supervise the operator due to a reduction or diversion of 7 operators.

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