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Published by Institut Teknologi Perusahaan Listrik Negara

ISSN : 20891245 EISSN : - DOI : -

Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Energy

KILAT Journal is a scientific journal published by STT-PLN. KILAT Journal is published twice in one year in April and October and contains the results of research in the fields of Mechanical Engineering, Electrical Engineering, Civil Engineering and Information Engineering, Law and Economics related to studies in the field of Renewable Energy, Electricity, Telecommunications, Control Systems , Electronics, Architecture, Computer Systems, and Information Systems.

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Articles 207 Documents

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SELEKSI FITUR ALGORITMA NEURAL NETWORK MENGGUNAKAN PARTICLE SWARM OPTIMIZATION UNTUK MEMPREDIKSI KELAHIRAN PREMATUR Redaksi Tim Jurnal
KILAT Vol 6 No 2 (2017): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Premature birth, defined as delivery in pregnant women with gestation age 20 - 36 weeks. Research related to preterm birth has been done by the researchers by using the neural network method. However such research only showcase about the results of the sensitivity and specificity. The results of research using the method of neural network in predicting preterm birth has a value of the resulting accuracy is still less accurate and only limited to presenting the results of the sensitivity and specificity. In this study produced a model of the neural network algorithm and model of neural network algorithm based on particle swarm optimization to get the architecture in predicting preterm birth and gives a more accurate value for accuracy on a data set of RSUPN Cipto Mangunkusumo , RS Sumber Waras and in its entirety. After you are done testing with two models of neural network algorithms and neural network algorithm based on particle swarm optimization and the results obtained are the neural network algorithm generates value accuracy of 94,60%, 96,40%, 91,33%, and AUC values of 0,973, 0,982, 0,953, however, after the addition of the neural network algorithm based on particle swarm optimization value accuracy of 95,20%, 96,80%, 92,40% and AUC values of 0,979 , 0,987, 0,965. So both of these methods has the distinction of accuracy which amounted to 0.60%, 0.40%, 1.07% and AUC value difference of 0.006, 0.005, 0.012.

PEMBENTUKAN MODEL KLASIFIKASI DATA LAMA STUDI MAHASISWA STMIK INDONESIA MENGGUNAKAN DECISION TREE DENGAN ALGORITMA NBTREE Redaksi Tim Jurnal
KILAT Vol 6 No 2 (2017): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

One of the assessment criteria for the accreditation of the study program is the assessment of the duration of the study of students who graduated on time. not a few students who pursue the study period exceeds the established standard of graduation. So it is important for the study program to know which students have the possibility of passing is not timely. For that it is necessary to predict the length of student study. One way to predict the length of a student's study is to build a classification model. This study aims to build a long prediction model of student study using Decision Tree with NBTree algorithm. The data used are academic value data and student academic leave data. The result obtained is a classification model of Naïve Bayes Decision Tree with 73.45% accuracy.

RANCANGAN SISTEM PENILAIAN HASIL KINERJA MULTI COMPANY DAN CROSS BUSINESS SECTOR Redaksi Tim Jurnal
KILAT Vol 6 No 2 (2017): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Each agency has its own characteristics and given authority in managing its finances. Foundation education and welfare PT.PLN (Persero) (YPK-PLN) has 14 affiliated companies. Each affiliate is required to report their financial periodically to YPK-PLN. The diversity of business fields and different locations makes YPK-PLN difficult to obtain financial position data on each affiliate. This financial report becomes one of the YPK-PLN reference to see the state of its subsidiary. The financial statements should be reported quarterly in a year. These financial statements include the balance sheet financial statements, labels and flows. The purpose of this study is to design and build a system that can unify all the financial statements of each affiliate and then calculated the results of its performance. The result of its performance is calculated dimasksud Operating Ratio, Average Collection Period, Return on Equity, Net Profit Margin, Current Ratio and Debt to Equity Ratio. This research was conducted with waterfall methodology to develop the software. To design the system to be built will use UML 2.0. In the development of the software will be used php language with codeigniter framework. The database used is SQL DBMS MariaDB with Apache 2 as its web server. The results also proved that the Performance Results of the affiliate financial ratios have an important role for YPK-PLN in determining whether to invest shares in the company concerned is the right decision.

ENKRIPSI DATA MENGGUNAKAN ADVANCED ENCRYPTION STANDART 256 Yudi Wiharto; Ari Irawan
KILAT Vol 7 No 2 (2018): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Cryptography is important in securing data and information. Confidential, important information may not be publicly or otherwise protected. It is not impossible for anyone to see, damage, steal or misuse important data from an agency or company through a computer network. The solution is with cryptography or a method of data security that can maintain the confidentiality and authenticity of a data or information. This method is intended for confidential information when sent through network access, such as LAN or internet, cannot be utilized by unauthorized parties. Cryptography supports the aspect of information security, namely protection of confidentiality. Therefore the need to maintain the confidentiality of data and information is a cryptographic application. The process in the form of encryption and decryption used by the user to secure the data without changing the contents of the data. This application has a 32-character key but in its use is made into 2 keys, namely public and private key where the public key is the key filled by the user in accordance with the desire, while the private key is the default key entered by the application at random to meet the length of 32 characters. The AES algorithm used is the AES256 algorithm where this algorithm uses the principle with the number of rounds by key.

PENGARUH EVALUASI TES FORMATIF TERHADAP HASIL BELAJAR MATEMATIKA DITINJAU DARI TINGKAT KEMANDIRIAN BELAJAR MAHASISWA STT-PLN JAKARTA DENGAN MENGGUNAKAN ANALISIS VARIAN ANOVA Dwi Anggaini; Miftahul Fikri; Denny Setiawan
KILAT Vol 7 No 2 (2018): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Research is a study that aims to find out the truth by researching and analyzing the influence of student learning independence in formative tests on student mathematics learning outcomes. The study was conducted at the Technical High School - PLN Jakarta in the even semester of 2017/2018 school year with a sample of 52 students using cluster random sampling technique. To retrieve data using questionnaire instruments to capture data on student learning independence variables and use tests to measure students' mathematics learning outcomes. Data analysis was performed using one-way ANOVA to prove the validity of the research hypothesis. Based on the results of the data analysis test, it can be concluded that there is an interaction between formative tests and students' learning independence towards mathematics learning outcomes and is directly proportional to learning independence.

KLASIFIKASI PESAN GANGGUAN PELANGGAN MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER Haryono Haryono; Pritasari Palupiningsih; Yessy Asri; Andi Nikma Sri Handayani
KILAT Vol 7 No 2 (2018): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

The application of customer disturbance message classifiers is made because of the process of reporting the interruption by the customer must be done by selection of data disorders by one by the admin to be able to follow-up from the existing customer reports. Naive Bayes is one of machine learning methods that uses probability calculations where the algorithm takes advantage of probability and statistical methods that predict future probabilities based on past experience. The application of the naive bayes classifier method with text mining as the initial data processor of the disorder messaging application can be concluded that this study yields an accuracy of probability values of 95 percent and proves that the Naive Bayes method can be used to help classify interference messages sent by customers.

SELF ADAPTIVE SOFTWARE DENGAN TEKNIK CASE-BASED REASONING UNTUK MENINGKATKAN PERFORMA APPLICATION SERVER Muhamad Nur; Domo Pranowo Kuswandono
KILAT Vol 7 No 2 (2018): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Performance of application server is an important attribute that must be maintained quality and stability, because application server operated in dynamic environment with fluctuating user loads and resource levels, its potentially caused unpredictable errors. In order application server performance still optimal, it is need maintains configuration application parameters. But, do that process need deep observation each environment condition changed and of course the cost and time. The approach that can be used is self-adaptive (autonomic computing). Self-adaptive can configure application parameters automatically. Best combination application parameters configuration can be stored on a repository and used as reference when decide new decision for configuration of application server parameters when similar condition is occurred. Cased-based reasoning can do the process. Best approach will be used is self-adaptive with case-based reasoning. This research implements the approach on an experiment application that deployed on glassfish application server. The results show that self-adaptive with case-based reasoning can improve application server performance with significant improvement.

SISTEM PENDUKIUNG KEPUTUSAN PADA SISTEM SELEKSI PENERIMAAN GURU MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Nurjaya Nurjaya; Maulana Ardhiansyah; Rezki Suryana
KILAT Vol 7 No 2 (2018): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Teacher is an important element in the support system, therefore function and position of teachers in improving the quality of learners need to be considered seriously. Basically, teachers are professionals in the field of education that has the task of teaching, educating, and guiding students to become a man is impersonal. Thus, teachers have an important position and responsibilities of a very great deal in the success or failure of educational programs. In order to facilitate the selection process for the teachers, the school can use the Decision Support System Decision Support System that is used as a tool for decision makers to expand the capabilities of the decision makers, but not to replace the judgment of the decision makers. The method used is the Simple Additive weighting, Simple Additive Weighting (SAW) suitable for decision-making process because it can determine the weight values for each attribute, followed by indexing process that will select the best alternative from a number of the best alternative. It can be concluded from this study that the SAW method is very relevant to solve the problem of decision makers.

PERANCANGAN SISTEM KEAMANAN RUMAH BERBASIS IoT DENGAN NodeMCU ESP8266 MENGGUNAKAN SENSOR PIR HC-SR501 DAN SENSOR SMOKE DETECTOR M. Reza Hidayat; Christiono Christiono; Budi Septiana Sapudin
KILAT Vol 7 No 2 (2018): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Along with the development of science and technology, problems often occur that threaten security at home. These problems originate from a level of security that does not meet security standards at home. Various problems that can threaten home security conditions are fire hazards that can be caused by neglect of home temperature regulation and electrochemical equipment that is uncontrolled by the homeowner or thief danger that can easily enter the house. The design of the home security system prototype is programmed and controlled by the NodeMCU ESP-8266 to transmit all data from sensor readings to the interface on the Cayenne dashboard. PIR sensor (HC-SR501) has a digital output, if the sensor detects a movement, the NodeMCU ESP-8266 will give a logical value of one. Gas sensor concentration (MQ-02) in testing has an average difference of 2.79 ppm (part per million). The reading results of all sensors will be measured through the Internet of Things interface displayed on the Cayenne dashboard, the simulated gas concentration with gas matches with the difference results, test results and analysis results of 2.79 ppm (part per million) and if the gas sensor (MQ -02) Exceeds the specified parameters, the buzzer will sound. PIR sensor testing (HC-SR501) will work optimally by human movement if at an angle of 45˚ because the success rate is 100% in ten experiments and in the 90˚ angle the success rate is 80%.

DESAIN SISTEM KONTROL PENGGERAK MULA GENERATOR MAGNET PERMANEN PLTMH MENGGUNAKAN PLANETERY GEAR Rizki Pratama Putra; Samsurizal Samsurizal; Novi Gusti Pahiyanti
KILAT Vol 7 No 2 (2018): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Voltage and frequency stability of a micro hydro power plant requires a simple, reliable and efficient control system. This study aims to design a control system using planetary gear which is known to provide fast speed adjustments to respond to the changing rate of water flow. In this study the system design will be created using matlab simulink. The system will then be simulated with various turbine rotation conditions to see the reliability and stability of the frequency and voltage produced by the permanent magnet generator used in micro hydro power plant. The results obtained are the control system seems can stabilize the generator rotor rotation so that the resulting voltage frequency remains constant even though the input load and water flow rate are dynamic. From the simulation results it is also found that the efficiency of the control system is directly proportional to the difference in mechanical input and electric power output of the system.

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Riki Ruli A. Siregar

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riki.ruli@sttpln.ac.id

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riki.ruli@sttpln.ac.id

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Kota adm. jakarta barat,

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