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Yuhefizar
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INDONESIA
Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi)
ISSN : -     EISSN : 25973584     DOI : -
Core Subject : Science,
Seminar Nasional Sistem Informasi dan Teknologi (SISFOTEK) merupakan ajang pertemuan ilmiah, sarana diskusi dan publikasi hasil penelitian maupun penerapan teknologi terkini dari para praktisi, peneliti, akademisi dan umum di bidang sistem informasi dan teknologi dalam artian luas.
Articles 36 Documents
Search results for , issue "Vol 3 No 1 (2019): SISFOTEK 2019" : 36 Documents clear
Implementasi Metode Rule Based dan TOPSIS pada Sistem Seleksi Kinerja Divisi Berdasarkan Corporate Culture Achmad Aries Pirnando; Ignatius Joko Dewanto; Winarno Winarno
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Corporate culture can be used as an effective driving force in achieving goals in accordance with the organization's vision and mission. An effective work culture can unite the ways of thinking, behaving and acting throughout the organization, making it easier to establish and implement the vision, mission and strategy in the corporation, and able to strengthen teamwork within the corporation, and eliminate internal frictions that arise. As one of the steps to maintain the existence of the company amid uncertain global conditions, it is necessary to evaluate the organization of its divisions to always cling to Corporate Culture. Based on the evaluation evaluation conducted previously, almost 50% of employees at PT XYZ Laboratories disagreed with the research conducted by the division. Therefore, it is necessary to develop a system that can act as a transparency in management decision making. By using the rule based method that is used as a selection method and the TOPSIS method that is carried out for division decision making is chosen, it is hoped that this system can be useful and in accordance with management needs. After going through the testing process, in general this system produces a total percentage of 100% on the success of the item test in the testing process of the 10 items tested. Thus the application meets the requirements for making the program, which is readable and valid.
Perancangan Antena Quad-Ridged Horn pada Frekuensi 8 – 12 Ghz Inosensius Imelian; Suwasti Broto; Yani Prabowo
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Have been created a quad-ridge horn (QRH) antennas the working frequency at 8GHz - 12 GHz. This type of antenna is commonly used in the RADAR (Radio Detection And Ranging) and Detection Systems. The design results will be simulated using WIPL-D software to find out whether the design results are appropriate or not with the desired conditions. The next stage is the manufacture of antennas and the entire implementation of the fabrication carried out in the lathe service workshop to obtain precise size results. Because the size of the antenna is small (10cm - 20cm), with a thickness of ±10mm stainless-steel material, so it is not possible to do it alone. The quad-ridged horn antenna performance will be observed in testing using a vector network analyzer (VNA) measuring device whose working frequency ranges from 100KHz - 8.5GHz. The measurement results obtained, QRH antenna works at 8.33 GHz frequency. With the difference in antenna working frequency practically it will affect other variables such as return loss, VSWR, gain and antenna radiation diagram. This is due to differences in the dimensions of the antenna which has a shift in the value of several centimeters (cm) when in the fabrication process.
Pemanfaatan Blockchain pada Pembangunan Sistem Informasi Pembiayaan Usaha Mikro Kecil Menengah Asep Id Hadiana; Yudi Setiadi Permana; Eddie Krishna Putra
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Technological developments are happening very rapidly, more and more new technologies are emerging. Today, technology is dominated by a centralized system. New technology that is quite interesting to study, one of which is Blockchain. Blockchain is a distributed ledger technology that enables direct (peer-to-peer) transactions without the need to involve trusted third parties. Micro, small and medium enterprises (MSME) are one of the supporting factors for economic development in Indonesia. For now, many MSME activities use digital media such as the internet using facilities like e-commerce or market places. In developing for business, MSME need capital for MSME operational activities can run. In this case, support from financial institutions is needed such as banking, investors or other funding sources. However, to be able to access financing from these parties, requirements and bureaucracy are quite difficult. The purpose of this study is to create a system that can make it easier for MSME to get financing with easy terms with easy bureaucracy as well. This system is supported by Blockchain technology to store transaction data where security and authenticity of the data can be guaranteed, and provide transparency of the financing process to all relevant parties.
Rancang Bangun Sistem Inventory ATK dengan UML dan Object Oriented Program Anita Diana; Indah Puspasari Handayani
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Office stationery procurement information system in each agency has a dynamic nature. Barriers to the work of an information system management flow can be fatal in a decision making and operational performance of an agency. The number of human resources in an agency will greatly affect the needs of stationery in daily work activities because it is a basic need in the world of work. When miscalculations occur, a long processing time and a lack of information generated, can affect cooperation with suppliers and state expenditure through the state treasury service office. Office stationery procurement system consists of many interconnected objects, the OOP (Object Oriented Programming) method that has a programming pattern based on the object concept is the right method to respond to these problems. In addition, the method is flexible in the sense that it will be easy to change, develop and maintain. The process of making the system starts from analyzing the system that is running and developed into a new system, using the programming language VB.net and MySQL-Front as a data storage. It is expected that with the construction of an office stationery procurement information system, it can run smoothly, so that recording, calculating and storing data is easier and does not require a long time.
Pengaruh Gamifikasi terhadap Program Loyalitas pada Platform Tokopedia Indonesia Thomas Hardianto; Arta Moro Sundjaja; Yuli Yuli; Giovanka Savina
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

The research objective is to develop a conceptual model for evaluating the determinant factors of loyalty program in Tokopedia. The data collection method is literature search. The authors search the literature in Google Scholar using relevant keywords. The authors use e-commerce development in Indonesia, government role in e-commerce development, user behavior, Indonesia e-commerce statistic, gamification, loyalty program as keywords. The authors found and used 45 articles that related with the antecedent of Tokopedia loyalty program. The antecedent of tokopedia loyalty program are gamified loyalty program, reward attractiveness, affective commitment. The mediating variable are playfulness, and attitude toward LP. The dependent variable is loyalty program.
Implementasi Fuzzy Logic Dalam Menentukan Persepsi Masyarakat Pendatang Silky Safira; Wifra Safitri
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

The abstract is to be in fully-justified italicized text, at the top of the paper with single column as it is here, below the author information. Use the word “Abstract” as the title, in 10-point Times, boldface type, left relative to the column, initially capitalized. The abstract is to be in 10-point, single-spaced type, and up to 200 words in length. Leave two blank lines after the abstract or list three to five keywords related to the articles, then continued with abstract in bahasa Indonesia.
Sistem Pakar Identifikasi Kerusakan Kulit Wajah untuk Proses Aesthetic and Anti Aging Agung Sugiarto; Neli Nailul Wardah; Andrianto Heri Wibowo
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Face skin is the most sensitive area compared with other parts of the skin. Face skin undergoes various change caused by external environmental influences such as the influence of sunlight, climate, pollution, the use of air conditioners, as well as the use of products or cosmetic that is not appropriate and changes from inside the body such as hormonal changes at puberty, menstruation, pregnancy and the use of birth control pills. The influence of external environment and hormonal changes result in face skin which directly experiences significant changes both in the form of acne and spots and wrinkles so that the skin becomes inflamed. Inflammation is a local reaction on the part of the skin that has an infection. Handling of inflamed skin can be done with several methods such as the use of cream that appropriate to the type of skin or facial treatment that is in accordance with the analysis of skin needs. The objective of this research is to build an expert system of using a suitable cream on damaged face skin. The apllication to developed is expected to help patients and therapists in determining the type of cream that will be used for each skin type and skin damage.
Penerapan Algoritma Topsis untuk Perekrutan Karyawan Divisi HRD pada CV. Semito Mandiri Andriyansyah Andriyansyah; Siswanto Siswanto; Mujito Mujito
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

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.
Penerapan Algoritma Weighted Product untuk Penentuan Pegawai Terbaik Badan LITBANG Ifran Nurkhallam; Siswanto Siswanto
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

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.
Penerapan Algoritma Simple Additive Weighting untuk Penentuan Karyawan Terbaik Suprihono Suprihono; Siswanto Siswanto
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

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.

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