Articles
<![CDATA[Pengamanan Data User Login dengan Algoritma Kriptografi Tea dan Notifikasi SMS ]]>
<![CDATA[Siswanto Siswanto]]>;
<![CDATA[M. Anif]]>;
<![CDATA[Ulil Abshor]]>
<![CDATA[ Prosiding SISFOTEK Vol 2 No 1 (2018): SISFOTEK 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia ]]>
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<![CDATA[Application of user login data security is designed to secure user login user data at PT. TELKOM Indonesia TBK, HSI Division in Minitools application containing data from customer's internet number. The security of user logni data is very vulnerable to the theft of various irresponsible parties that will impact on the manipulation of customer data in the Minitools application. These problems can be encountered by adding applications to prevent irresponsible parties from being able to read passwords from user login data in the database. In addition, by adding SMS notification feature to prevent irresponsible parties are free to use user login data to access and change customer data on Minitools application. In this paper the algorithm used in cryptography, the cryptography algorithm Tiny Encryption Algorithm (TEA). For SMS notification itself, built using Gammu module as a special software aids SMS Gateway, PHP, and also Wavecom GSM M1306B modem. The result of this cryptographic testing, password data can be secured in the form of text encrypted (ciphertext). With the application of data security user cryptographic login and SMS notification for this login system will make the information system more secure because the password will be encrypted and the authentication code to login to the application Minitools sent to the user's mobile number. From the experimental results, the average duration of the encrypt process is 0.08361488 ms and the duration of the descrypt process is 0.166120556 ms. For the average sms the duration is not more than 10 second.]]>
<![CDATA[Penerapan Algoritma Topsis untuk Perekrutan Karyawan Divisi HRD pada CV. Semito Mandiri ]]>
<![CDATA[Andriyansyah Andriyansyah]]>;
<![CDATA[Siswanto Siswanto]]>;
<![CDATA[Mujito Mujito]]>
<![CDATA[ Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia ]]>
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<![CDATA[The company implements strict employee recruitment selection for job applicants to suit the company's needs to get quality human resources. The process of selecting prospective employees is done by checking and selection manually by looking at the files sent by applicants. This is of course not only very troublesome but also inefficient and takes a long time, not to mention the possibility of human errors and subjective judgments so that the chosen candidates are not the best candidates. Utilizing a Decision Support System that uses the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Algorithm can help the selection selection problem in the Human Resource Development (HRD) division. So the results of this study are the ranking process with TOPSIS get the average distance between manual results with TOPSIS of 3.5 with a standard deviation of 2.813 and the classification process with Naïve Bayes produces an accuracy of 77.78% and an error of 22.22%, with the error value the results of the classification still have shortcomings in predicting the eligibility of prospective employees.]]>
<![CDATA[Penerapan Algoritma Weighted Product untuk Penentuan Pegawai Terbaik Badan LITBANG ]]>
<![CDATA[Ifran Nurkhallam]]>;
<![CDATA[Siswanto Siswanto]]>
<![CDATA[ Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia ]]>
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<![CDATA[The Ministry of Home Affairs at the Research and Development Agency (LITBANG) conducts the selection of the best employees to boost employee morale in increasing employee loyalty or loyalty to government agencies and to evaluate the performance of employees from each division. The selection of the best employees has been done periodically or periodically but has not been optimal in its implementation. The Ministry of Home Affairs at the Research and Development Agency found obstacles in determining the selection of the best Employees. Constraints faced are when finding the same final value when the assessment has been carried out and there is a subjective assessment that is assessing someone based on the closeness of the assessment staff so that the Head of Research and Development has difficulty when deciding who the best employee is, this often results in errors in determining the best employee at LITBANG Agency. The application of the Weighted Product (WP) Algorithm is used to determine the best employee at the Ministry of Interior Research and Development Agency. The final result of the system is a report on the best employees based on the Weighted Product algorithm to get the average distance between manual results with Weighted Products of 4.05 with a standard deviation of 3.017 and the classification process with Naïve Bayes produces an accuracy of 66.67% and an error of 33.33%, with the error value, the results of the classification still have shortcomings in predicting the eligibility of the best employees. Applications can assist decision makers in deciding who employees are entitled to become the best employees at the Research and Development Agency.]]>
<![CDATA[Penerapan Algoritma Simple Additive Weighting untuk Penentuan Karyawan Terbaik ]]>
<![CDATA[Suprihono Suprihono]]>;
<![CDATA[Siswanto Siswanto]]>
<![CDATA[ Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia ]]>
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<![CDATA[PT Elnusa Petrofin (EPN) provides the best contribution to employees, this award is given in the hope of motivating all employees to work well. PT Elnusa Petrofin (EPN) conducted the process of selecting the best employees, so this will of course require a long time and produce less than the maximum. Sometimes mistakes are made by the leader in relation to the best employees, see the conflict that occurs at PT Elnusa Petrofin (EPN) then an algorithm is requested to help the best employee leaders use the Simple Additive Addition Algorithm (SAW) as a method used to find alternative Simple Algorithms This Additive Weighting (SAW) can determine the best association seen from the ranking system at PT Elnusa Petrofin and the results of the ranking process with Simple Additive Weighting obtain an average result of Simple Additive Weighting (SAW) of 4.8 with a standard deviation of 3.982 and a classification process with Naïve Bayes produces an accuracy of 73.33% and an error of 26.67%, with an error value on the results of the allocations needed to predict the best employee performance.]]>
<![CDATA[Aplikasi IOT Mengendalikan Ruang Pelatihan dengan Sensor Suhu DHT-11, Kelembaban, Suara dan Gas MQ-2 ]]>
<![CDATA[Sarmani Sarmani]]>;
<![CDATA[Siswanto Siswanto]]>
<![CDATA[ Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia ]]>
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<![CDATA[Work tools, routers, switches and others that are used for training the trainees and store important data of the institution. If the temperature of the workspace is hot, it can cause damage to the hardware in the workspace, and the gas emission limit is higher then it can cause damage to the workspace. How to make a compilation of handling temperature suction outside the food limit can be done responsively. At this time the workspace administrator must fix the temperature in the workspace in stable conditions. This will not be effective and efficient, the Administrator must always be in the workspace. IoT Application for Monitoring and Controlling Web-based Workspaces by using the DHT-11 temperature sensor, humidity, sound and MQ-2 gas can be a solution to connect the condenser in the workspace so that it can work in a conducive manner, and can minimize excessive heat for each participant training in the workspace. In the event of a change in the temperature, humidity, sound and gas changes in the workspace, the system will send notifications to the user via e-mail and automate the process of igniting additional vehicles so as to make the room more stable. With this monitoring system the user is expected to be able to easily supervise the workspace. Thus the temperature, humidity, sound and gas of the workspace will regulate its stability and remain in full control of the Administrator without having to constantly be in the workspace. The Language Program used in developing this system is the Arduino Uno R3 English Program that uses C Language and for its visual display uses the PHP Language Program and MySQL database.]]>
<![CDATA[Implementasi Algoritma Profile Matching untuk Pencarian Karyawan Terbaik ]]>
<![CDATA[Tri Shoni Wijaya]]>;
<![CDATA[Siswanto Siswanto]]>
<![CDATA[ Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia ]]>
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<![CDATA[The company gives rewards or rewards to employees who get the title as the best employees in the form of money with a certain nominal. To support the performance or enthusiasm of the employees in the marketing department. It is expected that the reward can stimulate the enthusiasm of employees at work. However, when evaluating employees there are obstacles, including subjective judgments and calculation errors often occur in determining who the employee gets the best employee title. By utilizing a Decision Support System that uses the Profile Matching Algorithm. Profile Matching is a decision making mechanism by assuming that there is an ideal level of predictor variables that must be met by the subjects studied, rather than the minimum level that must be met or passed, Profile Matching can help problems in determining the best employees in the marketing department. In this study there are two aspects and within the aspects there are several criteria. The Performance Aspect consists of Target Achievement, Work Quality, Work Responsibilities and Services. The Personality Aspect consists of Attendance, Communication, Attitude, Team Work and Loyalty. So the result of this research is an application or decision support system that produces an output from each employee, so that the management of decision makers can see the value of each employee based on the ranking.]]>
<![CDATA[Kendali dan Monitoring Ruang Server dengan Sensor Suhu DHT-11, Gas MQ-2 serta Notifikasi SMS ]]>
<![CDATA[Firdiansyah Firdiansyah]]>;
<![CDATA[Siswanto Siswanto]]>;
<![CDATA[Muhammad Anif]]>;
<![CDATA[Basuki Hari Prasetyo]]>
<![CDATA[ Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia ]]>
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<![CDATA[If the server room temperature is too hot it will cause damage to the existing hardware in the server room, whereas if the gas threshold is too high it will be able to indicate that a fire has occurred in the server room. One way to maintain the temperature level of 20-21ºC / (68-71ºF) and 350 ppm - 1000 ppm gas levels in the server room is to periodically monitor the temperature and gas content whether it is within the threshold that we specify ... So that if one day there is a deviation temperatures outside the tolerance range can be immediately taken responsive measures. Currently the server administrator must continue to monitor changes in temperature in the server room in stable condition and still manually. Temperature and gas monitoring systems and web-based control using DHT11 sensors and MQ-2 sensors can be one solution to monitor the temperature of the server room so that it is always in a conducive state, so as to minimize the occurrence of excess heat in devices in the server room . If there is a situation where changes in temperature and gas in the server room are detected, the system will send a notification to the user via SMS and automation of the additional air conditioning so that it can stabilize the room temperature again. Thus the temperature and gas of the server room will continue to be maintained and stable in full control by the server administrator without having to continue to be in the server room. The programming language used to create this system is the Arduino programming language whose syntax resembles the C language and for its visual appearance using the PHP programming language and MySQL database. From the observation of 23 days the application trial was able to run and give notification as much as 98% and system failure as much as 2%.]]>
<![CDATA[Perekrutan Karyawan Menggunakan Algoritme TOPSIS dan Pengujian UAT ]]>
<![CDATA[Siswanto Siswanto]]>;
<![CDATA[Muhammad Satria Al Aziz]]>;
<![CDATA[Mujito Mujito]]>;
<![CDATA[Basuki Hari Prasetyo]]>
<![CDATA[ Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia ]]>
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<![CDATA[The problem at PT. Putra Bangsingja Perkasa has difficulty in providing employee recommendations that are accepted according to the needs of the 160 prospective employees who register every 6 months of employee recruitment and who assess only 2 people. Employee recruitment applications using the TOPSIS algorithm need to be made to recommend employees who really meet the quality and match the desired criteria such as physical appearance, comprehension, communication, work motivation, education and work experience. The final results of this study are the results of the UAT testing process, the respondents agree (above 83.3%) that overall this employee recruitment application helps the leadership in providing employee recommendations that are accepted according to their needs.]]>
<![CDATA[Implementasi Algoritme Profile Matching dan Pengujian UAT Untuk Memilih Karyawan Terbaik ]]>
<![CDATA[Siswanto Siswanto]]>;
<![CDATA[Recky Juniansyah Asad]]>;
<![CDATA[Gunawan Pria Utama]]>;
<![CDATA[Wahyu Pramusinto]]>;
<![CDATA[M Anif]]>
<![CDATA[ Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia ]]>
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<![CDATA[In supporting the performance or enthusiasm of employees in the regulation department, the company gives rewards or awards to employees who get the title as the best employees in the form of money with a certain nominal value. It is expected that this reward can stimulate the enthusiasm of employees at work. But when assessing employees there are obstacles, including subjective judgments and calculation errors often occur in determining who the employee gets the title of the best employee. The application for selecting the best employees has been made using the profile matching algorithm. In this study using two aspects, namely aspects of performance consisting of speed of work, quality of work, work responsibilities and problem solving and personality aspects consisting of absenteeism, work knowledge, attitude, team work and loyalty. So that the final results of this study in the form of the results of the testing process with the UAT, the respondents agreed (above 91.2%) that overall the application for selecting employees helps the decision maker management in providing the best employee recommendations based on ranking correctly.]]>
<![CDATA[Pengamanan File Audio Menggunakan Algoritma Kriptografi Blowfish Dan Pengujian UAT ]]>
<![CDATA[Siswanto]]>;
<![CDATA[Farizal Dias Amsari]]>;
<![CDATA[Basuki Hari Prasetyo]]>;
<![CDATA[Wahyu Pramusinto]]>;
<![CDATA[Gunawan Pria Utama]]>;
<![CDATA[M. Anif]]>
<![CDATA[ Prosiding SISFOTEK Vol 5 No 1 (2021): SISFOTEK V 2021 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia ]]>
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<![CDATA[The current problem at PT. Central Asia Insurance is data or information from meeting recordings that have been made without security so that the resulting data is leaked and can be published by unauthorized persons. This study aims to secure the results of the meeting in the form of audio that will be sent to the branch of PT. Central Asia Insurance using blowfish cryptographic algorithm and UAT testing. Therefore, I created an encryption application to secure the audio from the meeting at PT. Central Asia Insurance. The goal is to prevent irresponsible people from being able to know the results of the meeting directly because the Audio file has been encrypted. By making this application, it can guarantee the audio file of the meeting at PT. Central Asia insurance can be accepted by people who are entitled and have keys. The final result of this research is that this application is able to encrypt audio files with a maximum data size of 120 Mb. Based on trials carried out as many as 15 encrypted files, the encrypted file size becomes large with an average value of 12,009,507 bytes and an average encryption process time of 37.0 seconds while the decryption time is 52.2 seconds. So that the files obtained can be protected and can only be accessed by users who have a password lock. In the UAT test, a questionnaire with a Likert scale scale of 5. has been used. As a result, the respondents agree (above 91.23%) that the overall application of the blowfish algorithm to secure data files can be kept confidential.]]>
