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All Journal International Journal of Advances in Applied Sciences Bulletin of Electrical Engineering and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Jurnal Pilar Nusa Mandiri Jurnal Teknik Informatika STMIK Antar Bangsa SEIKO : Journal of Management & Business Jurnal Sistem Informasi Simpatik: Jurnal sistem Informasi dan Informatika Jurnal Pepadu KHITABAH: Khazanah Penelitian Perbankan Syariah

Akmaludin Akmaludin, Akmaludin

Unknown Affiliation

Author-ID : 642859

Religion Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics Social Sciences

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Articles

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Integrated Selection of Permanent Teacher Appointments Recommended MCDM-AHP and WASPAS Methods Akmaludin, Akmaludin; Sihombing, Erene Gernaria; Rinawati, Rinawati; Dewi, Linda Sari; Arisawati, Ester
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13063

The teacher's role is very important in improving the national learning system. Many honorary teachers are empowered in curriculum development in a number of schools who want to collaborate in improving the quality of their students. The purpose of this research is to provide rewards to honorary teachers who have long served for the progress of the nation in the world of education to be appointed as permanent teachers. The selection method was carried out through a criteria weighting technique with the MCDM-AHP method which was integrated with the WASPAS method. The technique of developing the MCDM-AHP method as an eigenvector measurement concept with proof of optimization through mathematical algebra matrices that is correlated with the Expert Choice application to get optimal values. The result optimization value is integrated with the WASPAS method as a determinant of the ranking system for permanent teacher candidates. This method is a unification of the concepts of the weight product model and weight sum model methods, so that it has special stages to support decision making with the WASPAS method. The results of selecting twelve honorary teachers for appointment as permanent teachers can be seen from the acquisition of the Qi optimization value as a ranking. The results of support for decision making for permanent teacher appointments with the highest optimization value were given to TC04 with a weight of 0.878; followed by a significant difference in the next rank. The findings of this study provide evidence that the integration of the MCDM-AHP and WASPAS methods provides continuous optimization results for decision-making support.

Comparison of Smartphone Technology using AHP, ELECTRE, and PROMETHEE Methods Akmaludin, Akmaludin; Suriyanto , Adhi Dharma; Iriadi, Nandang; Widianto, Kudiantoro
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13085

The progress of smartphone technology is now very rapid, supported by many renewable features, even many users are competing to get the latest products without regard to the costs that have been incurred. The problem that arises is that it is increasingly difficult to select technology-based products with many criteria. The purpose of writing this paper is to provide the best solution for selecting technology-based products with multi-criteria to suit user needs by taking into account the costs incurred effectively and the use of contradictory multi-criteria applications. The presence of technology products always has many criteria that make it more difficult for users to choose products as the right choice according to their needs, thus the right method is needed as a solution to obtain technology-based products such as smartphones. The Analytic Hierarchy Process (AHP) method is used for the evaluation and selection process. This AHP method will collaborate with the ELECTRE and PROMETHEE methods as a comparison solution for smartphone product selection. The resulting comparison will be an applied model for smartphone selection that produces the best decision-making support according to user needs. The results of the collaborative implementation process of the ELECTRE and PROMETHEE methods provide a decision on the rating system. The collaborative application of the AHP method to the ELECTRE and PROMETHEE methods provides optimal decision support for the selection process, so that this can be used as a comparison material in making decisions regarding the selection of smartphones as technology-based products.

Application of MCDM-AHP and EDAS Methods for Selection of the Best Residential Locations Areas Akmaludin, Akmaludin; Sihombing, Erene Gernaria; Rinawati, Rinawati; Arisawati, Ester; Handayanna, Prisma
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.13661

The population density has led to an expansion of the area where people live. This opportunity is exploited by housing developers to build many locations for the development of residential areas. The purpose of writing this paper is to provide proper consideration in housing selection which can be seen from various parameters as selection criteria. The method support that can be used in residential selection is the collaboration of the MCDM-AHP and EDAS methods. This method can be used as a recommendation against the concept of multi-criteria. The more criteria used, the higher the level of difficulty to support decision making. With the collaboration of the MDCM-AHP method, it can be used to provide an assessment of multi-criteria that have optimal values, while the EDAS method will be used as a strength in evaluating the selection of alternatives based on positive and negative distances for different types of criteria through normalized values. Determination of the weighting value of the criteria is obtained through the iteration stages using the mathematical algebra matrices method and proven by expert choice apps. The decision support results obtained provide a ranking value with the first priority being PR06 with an accumulative weight of 0.552 followed by the second and third ranks respectively PR04 and PR05 with a weight of 0.545 and 0.522 respectively. Thus supporting decision making with the recommendation of the MCDM-AHP and EDAS method collaboration can provide an optimal assessment of residential selection in a detailed and accurate manner.

Integrated MCDM-AHP and MABAC for Selection Head of Branch Offices Akmaludin, Akmaludin; Suriyanto, Adhi Dharma; Iriadi, Nandang; Widianto, Kudiantoro
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.13669

Leadership changes are very urgent in maintaining organizational stability. A good relay can build significant strength in carrying out organizational operational activities, of course this must be done with good selection. The purpose of this writing is to provide a consistent picture of the selection of branch heads in carrying out business competition which is measured based on the competencies possessed by the selected employees. The barometer is determined based on eight criteria as an assessment that is declared objective by the leadership, namely critical thinking, communication, analyzing, creative and innovation, leadership, adaptation, cooperation, and public speaking. The method used will be implemented in an integrated manner from the two MCDM-AHP methods and the MABAC method. These two methods have similar applications to the selection process. MCDM-AHP is used to select eight criteria as determinants of weighting and the MABAC method is used to determine the ranking process assessment for integrated decision making. The results obtained based on the weighted matrices of the branch head office selection process were measurably obtained, namely that the first priority was held by A11 with a weight of 1,406. The results of the integrity of both methods can provide evidence of decision support for the branch head selection process consistently with optimal results. The ranking system can be regulated and utilized for the purposes of selecting leaders to be placed in other positions.

PENYELEKSIAN JURUSAN TERFAVORIT PADA SMK SIRAJUL FALAH DENGAN METODE SAW Nurlela, Siti; Akmaludin, Akmaludin; Hadianti, Sri; Yusuf, Lestari
Jurnal Pilar Nusa Mandiri Vol 15 No 1 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

SMK Sirajul Falah is a Vocational High School located in the Bogor area. However, the selection of the favorite majors in SMK Sirajul Falah is still qualitative so that the process of choosing the favorite majors become not accurate. This is what makes the need for a method that is able to manage the data of the selection of the favorite majors and generate a ranking of the calculation of the weight of the selection of the favorite majors. In the selection of these favorite majors, there is a method of Simple Additive Weighting (SAW) which can be used in quantitative problem-solving. The SAW method is used to compare each criterion with one another, so as to give the results of the favorite majors and provide an assessment of each department at the Sirajul Falah Vocational School.

PEMILIHAN E-MAGAZINE TERHADAP KEBUTUHAN DAN KEINGINAN READERSHIP DENGAN MENGGUNAKAN ANALYTIC HIERARCHICAL PROCESS Akmaludin, Akmaludin
Jurnal Pilar Nusa Mandiri Vol 9 No 1 (2013): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 20
Publisher : LPPM Universitas Nusa Mandiri

Used of the Internet technology superbly proven to not give huge benefits to users, both in terms of deployment and exchange of information, entertainment, freeware software, even to the readings in various forms especially a lot of readings that can be obtained through online channels by the internet without having to purchase in the form of free as well be articles, newspapers, books, and magazines are all in electronic form and can be obtained by the internet. Until recently published magazine in print already behind, because so many turned to the magazine in electronic or digital form is called the e-magazine. With the existence of an intermediate stage in the form of an e-magazine needs assessment of the readership to choose the best performance of any e-magazine published, even many technologies that can support progress towards processing features such as e-magazine like 3D Thumbnails, Podcasts, and RSS. Assessment of the e-magazine readership seen from the goal, multicriteria, and alternative, while the method used is the Analytic Hierarchical Process (AHP). The process of analysis set forth in the acquisition phase synthesize the results of alternative priority e-magazine is e-the largest environmental gain with the value of 0.488 points, followed by RSC studio with acquisition value 0.284, and the smallest synthesize the results obtained e-magazine aksarayana the value 0.229. While the results of the ranking criteria biggest readership want and needs are the ease with criteria further value 0.270 0.235 interfaces with value, quality value 0.179, satisfaction with the value of 0.175, and the smallest are the benefit criteria with a value of 0.142.

ANALISIS APLIKASI ANIMASI INTERAKTIF TENTANG PEMBELAJARAN ANATOMI OTAK MENGGUNAKAN PENGUJIAN LOGIC DAN GEOMETRIK MEAN Akmaludin, Akmaludin
Jurnal Pilar Nusa Mandiri Vol 9 No 2 (2013): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septembe
Publisher : LPPM Universitas Nusa Mandiri

Learning system uses multimedia technology today's is growing rapidly, one of the areas that get a significant impact on the development of technology today's is the field of education. In the process of teaching and learning for students still using the one-way data transfer system by putting the student as an object and as a subject teacher. This makes the students tend to be passive and less showed a level of creativity in the process of knowledge transfer from material provided by the educator to the learner. Learning process in one direction only describes learners listen only, so it is not uncommon cause boredom in the classroom. Learning environment such as this will make it difficult for learners to understand and accept the material provided by the educators. Thus the concept of learning methods with using of interactive multimedia technology to answer these problems, because the multimedia learning with interactive animation to support the learning process by creating a pleasant atmosphere in the learning process, so it is easy for learners to understand and accept the material provided. Interactive animation application design for multimedia-based learning brain anatomy created by Macromedia flash applications, while the analysis used is the white-box testing and analysis of questionnaires using by a geometric mean method. The final results of analysis by the geometric mean method give the results is very good with a making decision score is 88.81.

WEIGHT PRODUCT MODEL(WPM) FOR NOTEBOOK SELECTIONS DENGAN MULTI KRITERIA BERBASIS TEKNOLOGI Akmaludin, Akmaludin
Jurnal Pilar Nusa Mandiri Vol 12 No 2 (2016): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1701.52 KB)

Pertimbangan optimal sangat memerlukan suatu alat bantu untuk menghasilkan keputusan yang baik, sebagai metode yang dapat diterapkan untuk proses peneyeleksian. Produk berbasis teknologi terkadang memberikan banyak kriteria yang unik dan memberikan benefit yang besar bagi para penggunanya. Dengan demikian sangat dibutuhkan metode yang tepat untuk penyeleksian produk berbasis teknologi. Metode Weight Product Model (WPM) salah satu metode yang dapat digunakan untuk membantu dalam proses penyeleksian, metode ini merupakan kristalisasi dari keilmuan metode Analytic Hierarchi Process (AHP). WPM merupakan sebuah model yang melakukan proses penyelesaian secara hirarki dengan cara melakukan breakdown mulai dari goal, criteria, dan alternative.Produk yang menjadi objek penelitian yaitu Notebook dengan kategori yang sama yaitu Core i5 dengan brand-type yang berbeda-beda seperti SAMSUNG 470RE-K01ID, LENOVO G470-0137, ASUS A450CC-WX250D, dan TOSHIBA L840-1045.WPM merupakan salah satu bentuk solusi pemodelan yang dapat digunakan untuk penyeleksian Notebook sebagai produk berbasis teknologi dengan pertimbangan multicriteria. Dari proses analisis yang diterapkan secara matematis dapat memberikan keputusan secara empiris dengan menentukan besaran priority terhadap produk berbasis teknologi seperti Notebook. Perolehan hasil yang diperoleh dengan WPM adalah SAMSUNG menduduki prioritas tertinggi dengan bobot nilai 0.323, LENOVO dengan bobot nilai 0.264, lalu ASUS dengan bobot nilai 0.228, dan perioritas rangking terkecil THOSIBA dengan bobot nilai prioritas 0.185.

MULTI CRITERIA ANALYSIS MENENTUKAN POINT WEIGHT COMPARATION DALAM PENETAPAN DECISION PRIORITY Akmaludin, Akmaludin
Jurnal Pilar Nusa Mandiri Vol 11 No 1 (2015): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1022.648 KB)

Decision-making method being used in the Analytic Hierarchical Process (AHP), each method has different characteristics, it can be seen from how the data acquisition was doing, whether using a single data or data groups, then how to determine the scale that will be used , and how the determination of the amount to be entered into pairwise matrix. Each method has its own way and each method will yield the amount of different values, but about priorities can result in the same decision. In this paper will try to discuss the differences in data processing, the methods used, the determination of pairwise matrix and the resulting acquisition priorities. Multi Criteria Analysis (MCA) provides an overview of the differences produced by these methods

TEKNIK PENYELEKSIAN KEPUTUSAN MENGGUNAKAN ANALYTIC HIERARCHICAL PROCESS PADA PROYEK PORTOFOLIO Akmaludin, Akmaludin
Jurnal Pilar Nusa Mandiri Vol 11 No 2 (2015): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1340.338 KB)

Penyelesaian pengambilan keputusan dalam penggunaan metode Analytic Hierarchy Proses (AHP) menuai berbagai perbedaan pemikiran, sehingga lahir banyak pendekatan-pendekatan. Pendekatan yang timbul mulai dari pengolahan dan pemahaman data yang dimasukan kedalam matriks berpasangan (pairwise matrix). Pemahaman dasar tentang perbandingan yang ada pada interdisipliner keilmuan inilah yang menciptakan timbul banyak pemikiran-pemikiran baru. Diantaranya ada yang menciptakan proses logis secara matematis melahirkan sebuah pendekatan baru yang dinamakan Multycriteria Analysis (MCA) dimana lebih menekankan pada proses nilai numerical yang dihasilkan dan hubungannya secara transitive. Dengan semakin banyak pemikiran pendekatan MCA yang mana hanya menekankan pada proses perolehan nilai numeric kemudian berkembang digunakan untuk pengambilan keputusan dalam setiap permasalahan atas seleksi setiap fenomena, sehingga lahirlah pendekatan baru yang dikenal dengan nama Multycriteria Decision Analysis (MCDA). Dari berbagai persoalan yang timbul dengan konsep MCDA ternyata, terlihat perbedaan yang sangat mendasar yaitu bagaimana perolehan pemikiran yang dipakai dalam pendekatan MCDA terhadap perolehan data yang diolah, melihat proses pengolahan data ternyata ada olahan data yang bersifat tunggal dan ada pengolahan data yang bersifat jamak. Dari sisi ini ternyata terdapat perbedaan yang jelas atas pendekatan yang jauh berbeda dengan pendekatan Multy Criteria Decision Making (MCDM). Pendekatan MCDM ternyata dapat mewakili atas olahan data baik yang bersifat data tunggal ataupun data majemuk. Metode AHP dengan pendekatan MCDM diselaraskan dan dikhususkan dengan aplikasi yang dinamakan Expert Choice. Dengan metode yang berbeda memberikan keputusn yang sama, tetapi value yang dihasilkan memiliki perbedaan besaran bobot nilai keputusan.

Co-Authors Abdussomad, Abdussomad Achmad Sumbaryadi, Achmad ADHI DHARMA SURIYANTO Andi Arfian Cep Adiwiharja Dewi , Linda Sari Dewi, Linda Sari Dwi Budi Santoso Eko Pradjoko Erene Gernaria Sihombing, Erene Gernaria Ester Arisawati Frans Edward Schaduw Handayanna, Prisma Harmono, Feri Prasetyo hasyim, hasyim Heru Purwanto Humairoh Saidah I Dewa Gede Jaya Negara I Wayan Yasa, I Wayan Kudiantoro Widianto, Kudiantoro Lestari Yusuf Mohammad Badrul, Mohammad Muhammad Muharrom Nandang Iriadi Nicodias Palasara PRACOYO, ATAS Rinawati Rinawati , Rinawati Rinawati Rinawati S. , Erene Gernaria Samudi Samudi Sidik , Sidik Siregar, Zamlani Zabalando siti nurlela Sofiatul Huda, Sofi Sopiyan Dalis Sri Hadianti Suca Rusdian Suparjo SUPRIYADI, ANID Surianto, Adhi Dharma Taufik Baidawi, Taufik Toni Sukendar Tri Hartati, Tri Utami Putri, Arni Wahid, Bilal Abdul Yunike, Hertiya Yusron Saadi

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