Ali Rahman
UIN Sunan Gunung Djati Bandung

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Perbandingan Penggunaan Metode Topsis dan Metode AHP dalam Penilaian Kinerja pada Karyawan (PT XYZ) Muh Akbar Tamrin; Bayu Rizki; Andres Nodas; Ali Rahman; Esa Firmansyah
Infoman's : Jurnal Ilmu-ilmu Manajemen dan Informatika Vol. 14 No. 1 (2020): Infoman's
Publisher : STMIK Sumedang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33481/infomans.v14i1.123

Abstract

XYZ merupakan suatu perusahaan yang bergerak di bidang kuliner, Saat ini proses penilaian kinerja karyawaan pada PT. XYZ belum ada sehingga pihak PT. XYZ merasa kesusahan dalam menilai karyawan nya sendiri, Melaksanakan pemilihan karyawan terbaik bukan saja memilih dan menetapkan karyawan yang tepat.Maka dari itu diperlukan sistem pendukung keputusan yang akan memudahkan pemilihan karyawan terbaik dan membuat keputusan yang efektif dan efisien. Metode Topsis dan metode AHP merupakan metode yang akan digunakan dalam memberikan rekomendasi karyawan terbaik sesuai dengan yang diharapkan. Pada penelitian sebelumnya, peneliti telah melakukan penerapan metode topsis dalam menentukan karyawan terbaik pada PT. XYZ berdasarkan kriteria yang telah ditetapkan untuk penilaian sebanyak 4 kriteria yaitu Kerjasama (C1), Kejujuran (C2), Tanggung Jawab (C3) dan Kedisplinan (C4). Hasil Akhir dari penelitian yang dibuat adalah membantu pihak PT. XYZ dalam merekomendasikan karyawan terbaik dengan menggunakan metode Topsis dan metode AHP, Berdasarkan hasil perangkingan metode Topsis dengan nilai tertinggi yaitu 0,8710 adalah Agus Septa Triana dan dengan nilai terendah yaitu 0,0801 adalah Tari Nuraeni. Kemudian berdasarkan hasil perangkingan menggunakan metode AHP dengan nilai tertinggi yaitu 0,23015 adalah Agus Septa Triana dan dengan nilai terendah yaitu 0,02692 adalah Anisa R. Kemudian membandingkan metode Topsis dengan metode AHP pada tingkat akurasi keputusan sistem dengan keputusan perhitungan perusahaan, Untuk hasil tingkat akurasi metode AHP yaitu sebesar 70 persen, kemudian untuk hasil tingkat akurasi metode Topsis yaitu sebesar 20 persen.
Mengelola Penelitian Mini Mahasiswa Menjadi Penerbitan Prosiding wahyudin darmalaksana; Busro Busro; Ali Rahman
Indonesia Vol 3 No 1 (2021): An-Nawa: Jurnal Studi Islam
Publisher : Rumah Jurnal Sekolah Tinggi Agama Islam An-Nawawi Purworejo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37758/annawa.v3i2.234

Abstract

Students often ask how to publish paper assignments. This study aims to discuss the management of mini-research into proceedings publishing. This research is a qualitative type through literature study and field studies by applying a content analysis approach. The results and discussion show opportunities to write mini-research papers according to standard guidelines, conduct presentation of papers at conference scientific forums, and publish a collection of papers in the form of proceedings. This study concludes that a collection of mini-research papers has the potential to become a proceeding publication if it is managed optimally by academics. This study recommends optimizing the management of student mini research papers for the opportunity to publish proceedings.
Customer Loyality Segmentation on Point of Sale System Using Recency-Frequency-Monetary (RFM) and K-Means Bayu Rizki; Nava Gia Ginasta; Muh Akbar Tamrin; Ali Rahman
JOIN (Jurnal Online Informatika) Vol. 5 No 2 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i2.511

Abstract

It is no doubt that the development of the business world has been progressive. Point of sale is one of the many system used as a means of payment in various existing businesses, especially in heterogeneous markets. The activity of transactions between Point of Sale Systems and Customers occur in the business world. Keep in mind also that one of the main factors of business success, is from customers. There is the need of an attractive strategy and certainly it will be to increase the income and assets of a business. To know that, this research will explore the behavior of customer which is based marketing, through RFM Method (Recency, Frequency and Monetary). The case of this study is in Goldfinger Store. It will do segmentation and also use data mining technique to do clustering by using K-Means with result of loyal and potential customer. The results of segmentation using RFM (Recency, Frequency, Monetary) and K-Means methods have produced multiple clusters by dividing them into groups.
The Implementation of RPG Concept on Breakout Games Using LibGDX Framework Andres Nodas; Djajasukma Tjahjadi; Ali Rahman
JOIN (Jurnal Online Informatika) Vol 6 No 2 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i2.517

Abstract

As technology becomes more global, RPG games runs into a good development. One of which is a combination of RPG with another games. This journal aims to combine the breakout games and the RPG which has its characteristics. This game development uses prototyping method, in which analysing the necessity and determining the goals of the software. Then, prototype will be created and evaluated regularly so that the result can use 2D graphics. This game also can be used as a reference to reflexes practising. A modeling is conducted to design ‘use case,’ scenario process, activity diagram, class diagram, and sequence diagram as well as to conduct an interface design. A calibration that is used, is calibrating the programme which is created as well as the features in the programme itself. It can be concluded that the construction of RPG games combination and breakout using eclipse and libgdx works well. In addition, it uses the components such as TMX tile map, sprite, sprite batching, box2d and input handling.