Jurnal RESISTOR (Rekayasa Sistem Komputer)
Jurnal RESISTOR merupakan jurnal yang diterbitkan oleh Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK STIKOM Indonesia, dengan P-ISSN 2598-7542 dan E-ISSN 2598-9650. Jurnal RESISTOR diterbitkan pertama kali pada bulan Oktober 2017 dan memiliki periode penerbitan sebanyak dua kali dalam setahun, yaitu pada bulan April dan Oktober.
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<![CDATA[PENGUJIAN PENGEMBANGAN TERHADAP ALGORITMA VIGENERE KEY KRIPTOGRAFI ]]>
<![CDATA[Chyquitha Danuputri]]>;
<![CDATA[Nico Santosa]]>;
<![CDATA[Fernando Dedi Samuel]]>
<![CDATA[ Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022 ]]>
Publisher : <![CDATA[Prahasta Publisher ]]>
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DOI: 10.31598/jurnalresistor.v5i1.822
<![CDATA[The process of digital communication through media that is already integrated with the internet requires a security system in order to prevent confidential data from being acquired by unauthorized third parties and misused by these third parties. In order not to know the confidentiality of the data, techniques and algorithms are needed that can make secret messages not understand the meaning of the secret message. One of the data security techniques is cryptography, which can scramble the arrangement of characters that humans understand into characters that are not understood by humans with various languages. This research is the development of the Vigenere Key Kriptography algorithm for the encryption and decryption process in text messages that include all the characters on the computer keyboard keys. The results of the encryption will be in the form of a.txt file which contains cipher text and the results of the decryption will be plain text that appears in the application text box and the test uses the Python programming language. This research can produce cryptographic techniques that can produce ciphertext of all characters on the computer keyboard keys and can scramble text so that it cannot be understood by human language for data security]]>
<![CDATA[ANALISA SISTEM POSITIONING OBJEK PADA AREA INDOOR BERBASIS BLE DAN RASPBERRY PI ]]>
<![CDATA[Afifah Dwi Ramadhani]]>;
<![CDATA[Achmad Ilham Imanuddin]]>;
<![CDATA[Kholidiyah Masykuroh]]>
<![CDATA[ Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022 ]]>
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DOI: 10.31598/jurnalresistor.v5i1.925
<![CDATA[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.]]>
<![CDATA[ANALISIS PERFORMA SISTEM KENDALI pH DAN TDS TERLARUT BERBASIS INTERNET OF THINGS PADA SISTEM HIDROPONIK DFT ]]>
<![CDATA[Ellys Kumala Pramartaningthyas]]>;
<![CDATA[Siti Ma'shumah]]>;
<![CDATA[M Ihsanul Faud]]>
<![CDATA[ Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022 ]]>
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DOI: 10.31598/jurnalresistor.v5i1.954
<![CDATA[The Deep Flow Technique (DFT) hydroponic system is one of the techniques in the plant cultivation system with water media at the household level. In this hydroponic system installation, the nutrients that plants need are supplied using electric power with a relatively small circulation flow rate. In large-scale plant cultivation, it is very important to have a tool to monitor and evaluate two important components in hydroponic system cultivation, namely pH and TDS levels dissolved in water which are very decisive in the plant growth process. In this study, a pH and TDS monitoring system was fabricated on an IoT-based Deep Flow Technique (DFT) hydroponic system, and an analysis of the system's performance was carried out for cultivating kale. From the results of system testing, this system is able to control the acidity of water (Ph) with a value of 5.5 -6 and for dissolved TDS, the system is able to control automatically at 1050 ppm to 1400 ppm.]]>
<![CDATA[SISTEM REKOMENDASI MUSIK BERDASARKAN DATA KONTEKS PADA LISTENING HISTORY MUSIK DAN KETERKAITAN ARTIS INDONESIA ]]>
<![CDATA[Gst Ayu Vida Mastrika Giri]]>;
<![CDATA[Made Leo Radhitya]]>;
<![CDATA[Made Agung Raharja]]>;
<![CDATA[I Wayan Supriana]]>
<![CDATA[ Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022 ]]>
Publisher : <![CDATA[Prahasta Publisher ]]>
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DOI: 10.31598/jurnalresistor.v5i1.1044
<![CDATA[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.]]>
<![CDATA[IDENTIFIKASI AKTIVITAS ILLEGAL TRANSSHIPMENT BERBASIS KEPADATAN POINT LINTASAN PADA DATA AIS ]]>
<![CDATA[I Gede Sudiantara]]>;
<![CDATA[I Made Oka Widyantara]]>;
<![CDATA[Dewa Made Wiharta]]>
<![CDATA[ Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022 ]]>
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DOI: 10.31598/jurnalresistor.v5i1.1048
<![CDATA[Illegal transshipment merupakan aktivitas pemindahan atau pertukaran kargo, persediaan kapal, personel, atau hasil tangkapan ikan antara dua kapal di laut jika tidak dilaporkan kepada otoritas pelayaran di pelabuhan. Dalam konteks IUU (Illegal, Unreported, Unregulated) Fishing, aktivitas illegal transshipment perlu diawasi untuk mengamankan devisa negara dari sektor perikanan laut dan mengamankan daerah tangkapan ikan untuk keberlangsungan mata pencarian nelayan tradisional. Dengan memanfaatkan cakupan dari teknologi pada Automatic Identification System (AIS) memungkinkan untuk melakukan pengawasan terhadap kegiatan illegal transshipment yang terjadi di laut. Pada penelitian ini, kami mengembangkan sebuah kerangka kerja yang mengekstrak pengetahuan dari data AIS untuk medapatkan aktivitas kapal yang terindikasi melakukan kegiatan illegal transshipment. Memanfaatkan teknik klasterisasi berbasis kepadatan mampu mengelompokkan titik lintasan kapal yang memiliki pola menyerupai aktivitas illegal transshipment. Berdasarkan pengujian dengan metode Silhouette Coefficient, kualitas klaster yang dihasilkan pada kerangka kerja yang dibangun memiliki hasil yang cukup kuat. Selain itu, pengujian skor Silhouette pada klasterisasi tanpa tahapan pada kerangka kerja juga dilakukan untuk membandingkan kualitas klaster. Dari hasil perbandingan tersebut, diketahui bahwa proses pada kerangka kerja yang dibangun mampu meningkatkan kualitas klaster dari DBSCAN.]]>
<![CDATA[IMPLEMENTASI METODE MEL-FREQUENCY CEPSTRAL COEFFICIENT DAN DTW PADA APLIKASI PENGENALAN SUARA TEMBANG SEKAR ALIT ]]>
<![CDATA[Made Agung Raharja]]>;
<![CDATA[I Putu Gede Adiatmika]]>;
<![CDATA[I Nyoman Adiputra]]>;
<![CDATA[Susy Purnawati]]>;
<![CDATA[I Wayan Supriana]]>
<![CDATA[ Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022 ]]>
Publisher : <![CDATA[Prahasta Publisher ]]>
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DOI: 10.31598/jurnalresistor.v5i1.1081
<![CDATA[The province of Bali has various types of songs that have different structures and functions, one of which is the Sekar Alit song. Seeing current technological advances, conservation efforts should follow the development of existing technology. This study recognizes the singer's voice with the MeliFrequency iCepstrum Coefficients (MFCC) method used to perform feature extraction, i.e. to obtain a parameter and information regarding the characteristics of a person's voice and the training of voice pattern matching against the voice of the DTW Singer Alit (Dinamic) and the Time Warping Alit method. . So that the final result of this research is an android-based tembang sekar alit learning application that can be used by students to learn more easily and effectively which is called the SekARAI application. The results of usability testing on the application found that the average value was above 3, which means that the SekARAI software that has been implemented has met the Usability element and besides that the software is easy to use and understand by users. The Sekar Alit Song Voice Recognition application has been evaluated using the confusion matrix method, it is found that the MFCC algorithm test results in an accuracy of 76.6%.]]>
<![CDATA[RANCANG BANGUN CHILLER BERBASIS MIKROKONTROLER UNTUK EVAPORASI SENYAWA BAHAN ALAM ]]>
<![CDATA[Ni Putu Rahayu Artini]]>;
<![CDATA[I Made Agus Mahardiananta]]>;
<![CDATA[I Made Aditya Nugraha]]>
<![CDATA[ Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022 ]]>
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DOI: 10.31598/jurnalresistor.v5i1.1082
<![CDATA[Chemical analysis uses a variety of solvents based on their level of polarity, such as non-polar, semipolar, and polar solvents. The solvent is used in the extraction process, both liquid-liquid extraction and solid-liquid extraction. Common extractions carried out in the fields of chemistry, pharmacy and other health sciences are solid-liquid extraction using samples in the form of simplicia from plants that are dried so that they become simplicia. Simplicia extracted with solvent. Extraction is carried out to concentrate the active compound and separate the solvent, so that it can be reused. Concentration was carried out using a rotary evaporator. A chiller-based rotary evaporator, namely a microcontroller-based chiller, is designed to accelerate temperature reduction, so that the evaporation and condensation process with the condenser is faster. Based on the results of the study, it was concluded that the chiller that was made was able to reduce the temperature of the water connected to the condenser section of the rotary evaporator and the heat from the waterbath with the duration of decreasing the temperature in the inlet-outlet reservoir between 183±2.88 seconds to 302±2.52 seconds from a water bath temperature of 40-600C.]]>
<![CDATA[ANALISIS UTILISASI RESOURCE CLUSTERS PADA HADOOP MENGGUNAKAN VIRTUALIZATION ]]>
<![CDATA[I Kadek Susila Satwika]]>;
<![CDATA[I Putu Susila Handika]]>;
<![CDATA[Made Hanindia Prami Swari]]>
<![CDATA[ Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022 ]]>
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DOI: 10.31598/jurnalresistor.v5i1.1088
<![CDATA[Large amounts of data processing necessitate the use of a dependable infrastructure. Using clustering technology in Big Data processing is a solution for faster processing times. This study evaluated the performance of the Hadoop server using virtualization technology. A varying number of query requests are sent to Hadoop server clusters at the same time. Then, the CPU and memory (RAM) utilization was calculated. According to the test results, the CPU usage on the namenode reached 100% at the start of the process, followed by an increase in CPU usage on the datanode the next time. Meanwhile, the namenode uses the most memory when it receives 25 requests at once. This demonstrates that the namenode can only serve a maximum of 25 requests at the same time.]]>
<![CDATA[KLASIFIKASI MOOD MUSIK BERDASARKAN MEL FREQUENCY CEPSTRAL COEFFICIENTS DENGAN BACKPROPAGATION NEURAL NETWORK ]]>
<![CDATA[Patriaji Ibrahim Maulana]]>;
<![CDATA[Arik Aranta]]>;
<![CDATA[Fitri Bimantoro]]>;
<![CDATA[I Gede Andika]]>
<![CDATA[ Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022 ]]>
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DOI: 10.31598/jurnalresistor.v5i1.1089
<![CDATA[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.]]>
<![CDATA[KNOWLEDGE BASED SYSTEM UNTUK REKOMENDASI DEWASA PENGABENAN PADA DESA ADAT MAMBAL ]]>
<![CDATA[I Putu Arya Putra]]>;
<![CDATA[Emmy Febriani Thalib]]>;
<![CDATA[Ida Bagus Ary Indra Iswara]]>
<![CDATA[ Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022 ]]>
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DOI: 10.31598/jurnalresistor.v5i1.1091
<![CDATA[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]]>
