Claim Missing Document
Check
Articles

ANALISIS EFEKTIVITAS PROMOSI PEMASARAN IKLAN SIAR PRODUK SUNSILK MENGGUNAKAN DIRECT RATING METHOD Akmaludin, Akmaludin
Perspektif : Jurnal Ekonomi dan Manajemen Akademi Bina Sarana Informatika Vol 10, No 2 (2012): September 2012
Publisher : www.bsi.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (141.662 KB) | DOI: 10.31294/jp.v10i2.5418

Abstract

Marketing communications are the mainstay for every manufacturer to influence consumers against products that it markets, this is done there is no other word is to improve mind share to the public in order to increase selling product. This is done because the aspect of remembrance will create awareness to the end consumer purchases would take action to a product recall. A1arketing promotions are often used manufacturers to introduce their products to market is the advertising, ad vertising has a very poweiful force to inf orm, communicate, and even affect the consumer to the product marketing, media fisheries have a very long way to reach consumers is media such as radio and television broadcasting . Advertising products that are advertised through the medium of television broadcasting, the level of effectiveness can be analyzed by using certain methods. One method used to measure the effectiveness of advertising is Direct Rating Method (DRM). Analysis of broadcast product advertising that will measure its iffectiveness is product Sunsilk version "cool commercials" by using the Direct Rating Method (DRM). Measurement of advertising levels effectiveness by DRM using five variables including attention 3.82 points, readthroughntess 3.76 point, cognitive 3.88 pohlts, affection 3.79 points, and behaviour toward advertising 3.96 points. Bach variable will be converted to DRA1-scale, until the end of the process then the accumulative conversion into one particular value called the iffective value is 76.82 as final result analysis. This value is seen.from the scale used is included in either category.
Analisa Efektivitas Komunikasi Pemasaran Produk Aqua Menggunakan Customer Response Index Melalui Kegiatan Promosi Akmaludin, Akmaludin
Perspektif : Jurnal Ekonomi dan Manajemen Akademi Bina Sarana Informatika Vol 10, No 1 (2012): MARET 2012
Publisher : www.bsi.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4039.78 KB) | DOI: 10.31294/jp.v10i1.5416

Abstract

Promotion is crystallization of a form of marketing communication, modern marketing communication should be able to communicate the brand or Its products to consumers in an integrated way, so consumers will know more about the benefits of the product. To find products that are marketed to consumers, certainly needs to be measured in evaluating how much the strength of the product is received by consumers. Many methods are used in determine level of effectiveness of communication conducted as Customer Decision Model (CDM), EPIC Model, Direct Rating Method (DRM), and Customer Response Index (CRI).Custormer Response Index (CRI) is one that often used in the measurement of the effectiveness of marketing communications products. Variables used to measure the effectiveness of marketing communication consists of five variables including Awareness, Comphrehend, Interest, Intention, and Action. In connection with the acquisition value is performed with CRI can be seen from the results of recent advertising campaigns through the media. If the CRI points earned exceeds 50% or more, then said to the effectiveness of marketing communications well worth it. For the research results through media advertisements broadcast television advertising products aqua value of marketing communications effectiveness gets 59% of acquisition value, this means that the measurement of the effectiveness of marketing communications products using the method Custormer Response Index (CRI) produces assessments that can be said to be good. With reference to the acquisition of data, can be seen how much the consumer is not how much consumer response and the response, it was said as a response index.
Collaboration of Profile Matching and MCDM-AHP Methods on Employee Selection for Promotion Akmaludin, Akmaludin; Sihombing , Erene Gernaria; Dewi, Linda Sari; Rinawati , Rinawati; Arisawati, Ester
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i1.11203

Abstract

To give appreciation to every employee who has been able to understand the journey of the system in a company, it is appropriate to be given appreciation in the process of changing leadership and as a form of motivation for all employees in the company as a form of promotion. The promotion process must be carried out objectively, so that a good leadership change system can be seen as a strength in the company's survival for each period. The process of changing leadership through promotions is at the forefront of running a sustainable company. With so many employees, the biggest obstacle that often becomes crucial is how to select the leadership relay holder through promotions in the company that can be carried out objectively, thus a method is needed. worthy to be used as a benchmark for selecting employees in terms of promotion. There is a method that can be used for employee selection as a form of promotion, namely the profile matching method through the assessment of the weight of the Aspects and the magnitude of the GAP value with the concept of determining the largest rank as the winner in the selection process for promoted employees. Of the six employees who are appointed as candidates for leadership candidates through promotions, they will be selected consistently with a number of criteria as a barometer of the selection process. The results obtained through the promotion of positions in the leadership change process were the first rank was elected KR02 (4.67), followed by the second rank KR01 (4.65) and the third rank KR05 (4.46). Thus, it can be said that the combination of profile matching and MCDM-AHP methods can be used to carry out the employee selection process as a form of promotion.  
AHP-SMART Method as Evaluation Decision Support for Employee Promotion Akmaludin, Akmaludin; Suriyanto , Adhi Dharma; Iriadi, Nandang; Sukendar, Toni; Santoso, Budi
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i1.11228

Abstract

Evaluation of the quality of employees in an institution is very necessary, especially for promotions which are the rights of every employee in leading a company that is full of competition. The purpose of this paper is to contribute in terms of the evaluation process in selecting employees who are ready to be promoted in a particular institution. With the support of various parties, a consistent and optimal method is needed to carry out the evaluation process, which is a popular priority, it is recommended to use the AHP-SMART method, where this method will be collaborated to become a core unit of problem solving, especially in terms of promotion as evaluation and selection material. Selection of the best employees, The AHP method will be used to conduct an assessment of the criteria used with the concept of Multi-criteria Decision Making (MCDM) which utilizes the results obtained from the eigenvector through iteration to minimize differences in the assessments of a number of respondents, while the SMART method is used to determine the results of decisions in collaboration with the AHP method, especially in terms of benefit utility and cost utility. The criteria used as an assessment measure consist of Planning, Solution Capture, Knowledge of Job, Reaction Behavior, Quantity of Works, Failed of Jobs, and Depandibility. The final result of the collaboration process of the two methods AHP and SMART gives a ranking of 26 employees with the highest score and being selected through an evaluation process for promotion won by K23 with a ranking weight (73.19) and the second is followed by K2 (76.17) and ranked the third was won by K3 (56.95). Thus the selection and evaluation process for promotion can be recommended and used as an optimal process from the selection stages of employee selection for promotion in every company agency.
Comparison of Evaluation and Selection of SmartPhones Recommended AHP, Weight Sum Model, and Weight Product Akmaludin, Akmaludin; Sihombing , Erene Gernaria; Dewi, Linda Sari; Rinawati , Rinawati; Arisawati , Ester
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11366

Abstract

Advances in SmartPhone technology in the current era, make many users have more and more considerations to have a SmartPhone because there are many criteria that must be compared. The purpose of this paper is to give careful consideration for every user to have an optimal SmartPhone. Problems that are felt by many users as users find it difficult to make choices for electronic goods in the form of this SmartPhone. Thus, a number of methods are needed that are able to give careful and intelligent consideration to the user in order to obtain the acquisition of the electronic goods in the form of the SmartPhone. In short, the method that can be used to evaluate and select SmartPhones is the Analytic Hierarchical Process (AHP) which functions as a weight determination, while the Weight Sum Model (WSM) and Weight Product (WP) act as a ranking system. This method will be used to provide an optimal comparison value for SmartPhone products with decisions that can be seen based on the priority of the WSM vector and the WP vector, then based on the average of the two methods provide decision support results. The first position is Xiaomi Mi Max with a weight of 175 and followed sequentially onwards by Asus Zenfone Max ZC550KL (174), Samsung Galaxy J7 Prime (124), Lenovo Vibe Shot (117), Asus Zenfone 2 ZE551ML (113), Xiaomi Mi 4C (108 ), Lenovo Vibe K5 Plus (101), and finally the Samsung Galaxy A3 (89). Thus the combination method between the AHP, WSM and WP methods can provide the best solution with optimal results for decision-making support for comparison evaluation and selection in the form of a SmartPhone with optimal results.
Application of the AHP-ELECTRE Method for Selection OOP Based Apps Programs Akmaludin, Akmaludin; Suriyanto, Adhi Dharma; Iriadi, Nandang; Santoso, Budi; Wahid, Bilal Abdul
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11370

Abstract

Object-based programming (OOP) has become a trend among programming language users, this is because many functions, procedures and techniques for using features are so widely available. By utilizing the advantages of these facilities, it is possible to provide convenience for programmers who use object-based programming languages. The purpose of this study is to provide an objective scoring system for a number of programming applications that have been made equipped with the assessment criteria. Assessment criteria that can be used for object-based apps programs with eleven criteria, namely Class structure, Inheritance, Encapsulation, Pollymorphys, Constructur, Accessor, Mutator, Visibility, Overriding, Overloading, and Price. With these many criteria, it provides a level of difficulty in choosing an object-based program application. To determine the appropriateness of an apps program, source testing will be carried out in the form of coding that has been previously constructed which affects the eleven predetermined measurement criteria. The assessment process recommends using the Electre method as a measure of the results of the calculation and ranking process. While determining the weight of the criteria using the Analytic Hierarchy Process (AHP) method. From the results of the assessment of 23 object-based apps programs, ranking assessments are based on aggregate dominant matrices as follows, the first rank with a weight of 22 as the largest weight is owned by 4 apps programss, namely AP16, AP17, AP18, and AP19. Based on the results of the ranking process, it can be said that the ELECTRE and AHP methods can be used as a selection process for object-based apps programs with optimal results.
Comparison of Selection for Employee Position Recommended MCDM-AHP, SMART and MAUT Method Akmaludin, Akmaludin; Sihombing, Erene Gernaria; Dewi, Linda Sari; Rinawati; Arisawati, Ester
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.11843

Abstract

In a company, employees are high-value assets, therefore it is necessary to select employees for the continuity of the company, of course, by getting quality human resources. The purpose of this paper is to refute the difference in the number of rankings in selecting the best employees through a comparison of the SMART and MAUT methods. Many methods can be used in the selection process. This article describes in detail about the selection of employee promotions using the MCDM-AHP collaboration method which is used to provide an assessment of the main criteria through eigenvector values ​​based on joint decisions by company leaders based on consistent and optimal questionnaire instrumentation which is not set based on percentages manually based on wishes leader. The SMART method is used to provide a sub-criteria assessment based on a balanced weighting utility according to the number of criteria used, with an assessment weight starting from zero as the lowest value and one as the highest value. The MAUT method will be used as a comparison against the results of the SMART method, where the MAUT method has differences in determining the weights on the sub-criteria based on the perception of understanding the criteria, so that they are arranged in an orderly manner and then determine the utility value of the criteria, so that there are similarities between the two methods. The ranking results obtained from the comparison of the two methods are that they have the same rating, so that the decision support taken also has similarities between the two SMART methods and the MAUT method. This can happen if the standard of measurement is carried out consistently through the MCDM-AHP method by not changing the assessment range in determining the interval range of each criterion.
Decision Support System for SmartPhone Selection with AHP-VIKOR Method Recommendations Akmaludin, Akmaludin; Suriyanto, Adhi Dharma; Iriadi, Nandang; Santoso, Budi; Sukendar, Toni
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.11845

Abstract

Produce products that have various features and diverse functions, which are able to provide convenience with the reliability of their features and functions. The advantages possessed by SmartPhone become more confident for users to assess the level of product intelligence, the more trustworthy. The purpose of this research is to provide additional knowledge on the selection of SmartPhone to the user in having a product with various benefits. The more criteria that become a barometer, the more difficult it is to choose a product in the form of a SmartPhone. Thus, the right method is needed to perform the selection of the SmartPhone. There are several methods offered to carry out the selection process for SmartPhones, namely the Analytic Hierarchy Process (AHP) method combined with the VIKOR elimination method. Both of these methods are very supportive in the selection process with many types of criteria and their meanings against these criteria. A number of criteria that serve as a barometer for selecting object-based applications are Operating System, Processor, Internal Memory, External Memory, Back Camera, Front Camera, Battery, Cassing Model, Screen Size, Wight and Price. Of the eleven criteria have two different characteristics of understanding. The results of this study can be seen explicitly on the selection of SmartPhones through the acquisition of the smallest Qi index with the three highest ratings, namely the first ranked Samsung Galaxy A3 (0.00) the second is the Xiaomi Mi 4C with an index of 0.19, the third is the Lenovo Vibe K5 Plus with index 0.31. Thus it can be said that the collaboration of the AHP and VIKOR Elimination methods is able to provide optimal decision-making support.
Decision Making for the Best Hospital Evaluation Using the AHP-COPRAS Method Akmaludin, Akmaludin; Suriyanto, Adhi Dharma; Iriadi, Nandang
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.12313

Abstract

The assessment of the Hospital is very important in providing a rating as a measure of accreditation. Hospitals should provide the best service to visiting patients. The purpose of this study is to provide a ranking of hospitals that should be a measure of the appropriateness of a hospital as seen from a number of criteria as a true assessment. The criteria used as a barometer for the assessment consist of ten criteria, namely Administrative Services, Doctor Services, Pharmaceutical Installation Services, Cleanliness, Convenience, Security, Number of Administrative Personnel, Number of Pharmaceutical Personnel, Administrative Complaints, and Pharmacy Installation Complaints. The scoring system that will be applied uses the Analytical Hierarchy Process (AHP) method as a determinant of the weight of each criterion and the Fuzzy assessment uses the Complex Proportional Assessment (COPRAS) method. The two methods will be collaborated as a determinant in the process of giving a rating system to the ten hospitals that are included in the priority assessment. The results obtained from the ranking process of the two AHP and COPRAS methods are seen from the acquisition of the utility value produced, the largest value obtained from the utility gives the best rating. The utility value is obtained from the total assessment of a number of criteria for each hospital and the largest utility rating does not exceed one. The highest value of the utility generated by the RS10 alternative with a utility scale of 0.098 as the best value.
Decision Support for Selection of The Best Teachers Recommendations MCDM-AHP and ARAS Collaborative Methods Akmaludin, Akmaludin; S. , Erene Gernaria; Rinawati , Rinawati; Arisawati , Ester; Dewi , Linda Sari
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.12354

Abstract

The role of the teacher is very important for the progress of the nation which can increase the dignity of the nation. The quality of education can increase thanks to the support of teachers who have good dedication in developing the learning process, especially in curriculum development. The teacher's biggest contribution is to make students ready to become the nation's credible successors. The purpose of this study is to provide an assessment in the selection process of teachers in an objective and selective manner. Method recommendations that can be raised in this study are collaborative methods that play a role in multi-criteria selection, namely MCDM-AHP and ARAS. Both of these methods can be said to be able to implement a selective and credible selection process for teachers which is carried out through the stages of data conversion and normalization which in turn can determine decision support in the multi-criteria selection process. The results of this study provide the best solution in selecting alternatives with a multi-criteria barometer for measurements with the ARAS method. The resulting decision support for the selection process of twenty teachers resulting in the best assessment can be seen from the optimization function which is based on the maximum value default divisor basis. The results obtained from obtaining the highest utility value of the twenty alternatives, the top three values that can be drawn as support for decision making are owned by A3 with a utility weight of 0.891, followed by the two highest ratings A17 and A14 with respective weights of 0.888 and 0.884.