Patriaji Ibrahim Maulana, Arik Aranta, Fitri Bimantoro, Gede Andika
{"title":"KLASIFIKASI MOOD MUSIK BERDASARKAN MEL FREQUENCY CEPSTRAL COEFFICIENTS DENGAN BACKPROPAGATION NEURAL NETWORK","authors":"Patriaji Ibrahim Maulana, Arik Aranta, Fitri Bimantoro, Gede Andika","doi":"10.31598/jurnalresistor.v5i1.1089","DOIUrl":"https://doi.org/10.31598/jurnalresistor.v5i1.1089","url":null,"abstract":"In music industry, each music is grouped by type, including music genre, artist identification, instrument introduction, and mood. Then came a field of research called Music Information Retrieval (MIR) which is a field of science that retrieves and processes the metadata of music files to perform the grouping. This research is based on the uniqueness of music that has its own mood implied in it. By creating a Machine Learning model using Backpropagation Neural Network (BPNN) based on the Mel Frequency Cepstral Coefficients (MFCC) input feature, it will be able to classify types of music based on mood. Grouping is carried out on four mood classes based on Thayer's model. Based on several previous studies, the use of MFCC in voice processing produces very good accuracy as well as the use of BPNN for classification, which is expected to result in better machine learning model performance. The data used in this study were obtained from the Internet with a total dataset of 200. The results obtained from this study are the classification of music mood using BPNN based on the MFCC feature capable of producing 87.67%. accuracy.","PeriodicalId":164171,"journal":{"name":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128354232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ayu Vida Mastrika Giri, Made Leo Radhitya, M. A. Raharja, Wayan Supriana
{"title":"SISTEM REKOMENDASI MUSIK BERDASARKAN DATA KONTEKS PADA LISTENING HISTORY MUSIK DAN KETERKAITAN ARTIS INDONESIA","authors":"Ayu Vida Mastrika Giri, Made Leo Radhitya, M. A. Raharja, Wayan Supriana","doi":"10.31598/jurnalresistor.v5i1.1044","DOIUrl":"https://doi.org/10.31598/jurnalresistor.v5i1.1044","url":null,"abstract":"A large number of digital music circulates online today. It makes music listeners confused to choose which music is suitable to listen to in certain circumstances or contexts, for example certain time, weather, activity, and desired mood. Playlist creation can make it easy for music listeners to collect their favorite music for a particular context, but creating playlists is time consuming and of course a lot of playlists will have to be created to accommodate all combinations of contexts. In this study, an automated music recommendation system was built using context data consisting of time, weather, activities, and desired mood which were also adjusted for the listener's age, gender, and favorite artist. The method used is Case-Based Reasoning (CBR), using listeners' listening history data as a knowledge base and the artist relatedness of Indonesian artists to improve solutions at the revision stage. Output of this system is in the form of music playlist presented in a website. The overall precision average for music recommendations is 0.78.","PeriodicalId":164171,"journal":{"name":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116026525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IMPLEMENTASI LORAWAN UNTUK MEMBANGUN KOMUNIKASI JARINGAN NELAYAN PERIKANAN TANGKAP MENGGUNAKAN KONSEP ARP PROTOCOL","authors":"Irwan Ardyansah, L. Hayati, Ramdan Satra","doi":"10.31598/jurnalresistor.v5i1.821","DOIUrl":"https://doi.org/10.31598/jurnalresistor.v5i1.821","url":null,"abstract":"Indonesia is known as a maritime country that has potential in the fisheries sector because the area of the ocean is larger than land. The catch of Indonesian fishermen is still far behind that of China. One of the main obstacles is the lack of access to information and fast communication between fishermen regarding the location of fish clumps. This study designed a system that facilitates communication between fishermen at sea for information exchange, security, and supervision. This study uses LoRA communication technology which is a radio telecommunication device as a medium for sending text-based messages remotely and an android application as a user interface display using the LoRaWAN communication architecture and the ARP Protocol concept. The test of this research uses the black-box testing method which produces data on area coverage measurement; Bit Error Rate (BER); Packet Loss; Latency Analysis; and Battery Life. From 40 experiments conducted by sending text-based message packets between LoRa ESP32 devices remotely, there were no Packet Loss and Bit Error Rate (BER) in the received messages. Therefore, the application of the LoRaWAN communication architecture on the LoRa ESP32 device in building a remote capture fisheries communication system can be said to be successful.","PeriodicalId":164171,"journal":{"name":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114414531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. D. Ramadhani, Achmad Ilham Imanuddin, Kholidiyah Masykuroh
{"title":"ANALISA SISTEM POSITIONING OBJEK PADA AREA INDOOR BERBASIS BLE DAN RASPBERRY PI","authors":"A. D. Ramadhani, Achmad Ilham Imanuddin, Kholidiyah Masykuroh","doi":"10.31598/jurnalresistor.v5i1.925","DOIUrl":"https://doi.org/10.31598/jurnalresistor.v5i1.925","url":null,"abstract":"BLE technology can assist in indoor positioning system (IPS) applications. The IPS has an important role in determining the position of objects that are useful for monitoring or tracking. One of the methods is trilateration by utilizing the RSSI value between the transmitter and receiver to calculate the distance. In addition, we can use indoor paths loss modeling to calculate the distance. However, the RSSI method still has weaknesses due to fluctuations in measurement values caused by the effect of multipath and attenuation on the signal. So that there will be an error while we estimate the position and causes the accuracy to be weak. Besides the fluctuation of RSSI, the accuracy is also influenced by the geometric position between the transmitter and receiver. Geometric Dilution of Precision is a method that calculates the geometric value. In this study, we applied object positioning techniques using the BLE devices and the trilateration method. We analyzed the position accuracy by considering the mean of RSSI, the median of RSSI, and GDOP. The results show that taking into account the GDOP, the accuracy increases by 53% compared to the average RSSI scenario. And the accuracy value also increased 63% compared to the median RSSI scenario.","PeriodicalId":164171,"journal":{"name":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132904053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Putu, A. Putra, I. Bagus, Ary Indra Iswara, Emmy Febriani Thalib
{"title":"KNOWLEDGE BASED SYSTEM UNTUK REKOMENDASI DEWASA PENGABENAN PADA DESA ADAT MAMBAL","authors":"I. Putu, A. Putra, I. Bagus, Ary Indra Iswara, Emmy Febriani Thalib","doi":"10.31598/jurnalresistor.v5i1.1091","DOIUrl":"https://doi.org/10.31598/jurnalresistor.v5i1.1091","url":null,"abstract":"Applications for a good day to carry out the pengabenan ceremony of the mambal traditional village often encounter obstacles, with a process that is still manual, it certainly has a fairly high risk of error because it is caused by physical factors from a bendesa as an expert, including fatigue and forgetfulness. In this study, we will provide solutions to problems or obstacles experienced by the bendesa as an expert by designing and building a system that can represent a bendesa in the dewasa pengabenan application process by adopting the mindset of a bendesa in recommending dewasa pengabenan. The parameters used in this system consist of 54 conditions with 20 conditions that must be avoided. The parameters used are sasih, tri wara, panca wara, sapta wara, penanggal, panglong and wuku. The system that was built provides output in the form of recommendations for dewasa pengabenan, which are web-based, using the PHP framework Laravel programming language, and the database is managed with mysql. This system has been tested by the Bendesa as an expert and several users, the results obtained from the test can be concluded that the function of the features in the system is in accordance with what is expected","PeriodicalId":164171,"journal":{"name":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129016883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Made Puji Dwicaksana, I. Kumara, I. N. Setiawan, I. Nugraha
{"title":"REVIEW DAN ANALISIS PERKEMBANGAN PLTS PADA SARANA TRANSPORTASI LAUT","authors":"Made Puji Dwicaksana, I. Kumara, I. N. Setiawan, I. Nugraha","doi":"10.31598/jurnalresistor.v4i2.732","DOIUrl":"https://doi.org/10.31598/jurnalresistor.v4i2.732","url":null,"abstract":"This paper aims to review the current development of vessels with solar power to reference the research and development of solar power vessels in Indonesia. The research method is a systematic literature review on the development of solar-powered vessels and includes an online survey of vessels using solar PV. This study found 86 solar-powered vessels consisting of boats, utility boats, ferries, houseboats, research, vehicle carriers, dive boats, and yachts developed from 1988 to 2020. These solar-powered vessels were built for various functions such as competitions, cleaning the environment, passenger transportation, and water tourism. Production of solar-powered vessels is increasing in terms of production volume, PV capacity, and battery capacity. In terms of PV configuration, the solar array is dominated by a fixed array structure. However, there have been innovations using sun-tracking, wind tracking airfoils, and expandable channels to increase PV capacity.","PeriodicalId":164171,"journal":{"name":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115910447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ANALISIS DAN PERBANDINGAN QUALITY OF SERVICE VIDEO CONFERENCE JITSI DAN BIGBLUEBUTTON PADA VIRTUAL PRIVATE SERVER","authors":"I. B. A. I. Iswara, I. P. P. Yasa","doi":"10.31598/jurnalresistor.v4i2.794","DOIUrl":"https://doi.org/10.31598/jurnalresistor.v4i2.794","url":null,"abstract":"The use of video conferencing technology is increasing due to the COVID-19 pandemic. Bigbluebutton and jitsi are examples of open source video conferencing platforms that can be installed on their own servers. The server is created using a cloud-based virtual machine. Analysis of quality of service which includes delay, packet loss, throughput, and jitter is needed to determine the quality of service and the comparison of the two platforms. Observations were also made on the use of CPU, memory / RAM, and disk usage for each server. There are 3 test scenarios carried out. Each scenario is carried out on each existing VM specification. From this test, it is known that in the delay parameter, the highest bigbluebutton is obtained, which is 35,35 ms. And then the highest jitsi delay is 17,66 ms. In packet loss parameters, jitsi obtained the highest yield, namely 0,29%, while for bigbluebutton only 0,16% of packet loss was the highest. Throughput, bigbluebutton and jitsi all got very bad results. However, bigbluebutton obtained better results, namely, the highest throughput was 5.6%. While Jitsi obtained the highest throughput, namely 2,8%. Whereas for the jitter parameter, jitsi obtained 0,00 ms results on all tests in each VM. Meanwhile, bigbluebutton, get 0,1 ms on test 3 on VM 1","PeriodicalId":164171,"journal":{"name":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121799983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PENERAPAN ALGORITMA NAIVE BAYES DALAM MENENTUKAN KONSENTRASI SISWA TERHADAP PROSES BELAJAR MENGAJAR DI SMP TAMAN ASUHAN","authors":"Farhannah Silmi Az Zahra Farhannah, S. Solikhun","doi":"10.31598/jurnalresistor.v4i2.730","DOIUrl":"https://doi.org/10.31598/jurnalresistor.v4i2.730","url":null,"abstract":"The purpose of this study is to analyze whether students concentrate or not on the teaching and learning process at Pematangsiantar Park in SMP. To determine the concentration of students in the teaching and learning process, the Naive Bayes classification of data mining methods is used. Sources of research data were obtained using a questionnaire distributed to Pematangsiantar Park Middle School. So hopefully this research can help the government and the school in monitoring the concentration of students so that it can help in improving the quality and quality of schools. Based on that research that has been done,the writer uses the Naïve Bayes Method to predict student concentration resulting in a value of 95.31%, while the predicition of lack of concentration results in a value of 100.00%","PeriodicalId":164171,"journal":{"name":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115920770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PENERAPAN SISTEM MONITORING DAN KENDALI PINTAR UNTUK TANAMAN TERUNG BERBASIS INTERNET OF THINGS DENGAN METODE PENYIRAMAN IRIGASI TETES","authors":"Edi Anugrah, M. Hasbi, M. Lukman","doi":"10.31598/jurnalresistor.v4i2.669","DOIUrl":"https://doi.org/10.31598/jurnalresistor.v4i2.669","url":null,"abstract":"Eggplant (Solanum melongena L.) is one of the horticultural crop products and vegetable crop commodities. Growth and quality are influenced by soil conditions, climate, and plant properties. The main source of agriculture is water and soil nutrients. This research applies a smart monitoring and control system for eggplant based on internet of things with the drip irrigation method. This system uses a NodeMCU V3 microcontroller as a controller for the aquatic and water pump. Besides using the Soil Moisture FC-28 sensor to measure soil moisture as an alternative to detect water availability in plants. DHT11 sensors are also given to monitor the temperature and humidity of the air around the plant. In the system there is a monitoring feature that can monitor air humidity, air temperature and soil moisture data. The system can automatically drip irrigation through the relay module when the soil moisture is below 50% and stop the watering process when it reaches 60% humidity. The sensor detection results can be monitored in the Blynk application and monitoring data, in the form of soil moisture, air temperature and air humidity, are saved to the database and can be downloaded in the format (.csv).","PeriodicalId":164171,"journal":{"name":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114693213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Supriana, M. A. Raharja, I. M. S. Bimantara, Devan Bramantya
{"title":"IMPLEMENTASI DUA MODEL CROSSOVER PADA ALGORITMA GENETIKA UNTUK OPTIMASI PENGGUNAAN RUANG PERKULIAHAN","authors":"I. Supriana, M. A. Raharja, I. M. S. Bimantara, Devan Bramantya","doi":"10.31598/jurnalresistor.v4i2.758","DOIUrl":"https://doi.org/10.31598/jurnalresistor.v4i2.758","url":null,"abstract":"The lecture mapping process is often hampered by the number and capacity of rooms, this condition often occurs because of the many obstacles that must be fulfilled. For example, there are courses offered in one semester that cannot be slots in space and time and the lecturer can teach at the same time for different courses. This is experienced by the Informatics Engineering Study Program of the Faculty of Mathematics and Natural Sciences, Udayana University, which offers a fairly large subject in each semester, causing optimization of the lecture space to often experience problems. The Genetic Algorithm (GA) is a model in the optimization of lecture space based on the natural selection mechanism through; coding problem, generate initial population, calculate fitness value, selection, crossover, mutation and optimal population. In this research, the optimization process implements two crossover models in the genetic algorithm, namely the n-point crossover and the cycle crossover. Based on the research that has been carried out, two crossover models provide optimal space usage mapping. From testing the n-point crossover model system gives the best fitness 1 in the 361 generation with a computation time of 11.08 while the cycle crossover model produces the best fitness 1 in the 361 generation with a computation time of 15.08.","PeriodicalId":164171,"journal":{"name":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130956182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}