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Sistem Pendukung Keputusan Pemberian Bonus Karyawan Menggunakan Metode Analytical Hierarchy Process (Ahp) Dan SimpleAdditive Weighting (Saw) setiyaki wicaksono, bagas; apriyanto, budi
Liaison Journal of Engineering Vol. 4 No. 1 (2024): Vol 4
Publisher : Liaison Journal of Engineering

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Abstract

Kalava Studio is an Information Technology company that is experiencing problems in the process of giving employee bonuses because manual calculations are time consuming and risky of errors. Employees are considered a key factor in a company's progress, and bonuses are an important incentive to improve their performance. Therefore, this research proposes the development of a decision support system (DSS) using the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods to facilitate decision making regarding employee bonuses. This research involves three employee performance evaluation criteria, namely work results, attendance, and diligence. It is hoped that the combination of these two methods can overcome the complexity of decision making in an effective and efficient manner, helpthe Founder of Kalava Studio in determining employee bonuses objectively, and increase efficiency in human resource management. Keywords: Kalava Studio, Employee Bonuses, Decision Support Systems, Analytical Hierarchy Process (AHP), Simple Additive Weighting (SAW)
Perancangan Sistem Pencatatan Stok Barang Berbasis Web Menggunakan Metode Waterfall (Studi Kasus : Toko Bangunan Karya Putra 2) Syah Rizal, Muhammad; Apriyanto, Budi
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 1 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

In the digital era, stock management of goods such as the retail industry of building stores is one of the most important aspects. Toko Bangunan Karya Putra II is one of them that still manages stock management using conventional methods in the process of recording stock of goods. Karya Putra II Building Store, located in the South Tangerang City area, provides building goods such as bricks, cement, sand, and other building tools. Stock recording, inventory management, and supplier data management are still carried out in the conventional way, namely using paper so as to allow for data writing errors, inaccurate incoming goods data, to be less efficient for employee labor. This research aims to build a system that can replace conventional methods with web-based information systems that are expected to facilitate the management of building stores. This system uses the waterfall method and is created using the JavaScript programming language and using a PostgreSQL database. Based on the test results obtained using two system methods, Black Box testing and White Box testing is a system that is built both functionally and the structure of the program code can be run properly according to the expected function. Broadly speaking, the system created has fulfilled the main function in data processing for stock recording systems, such as adding data, displaying data, changing data and deleting data.
Penerapan K-Means dalam Menganalisis Pola Pembelian Pelanggan Pada Data Transaksi E-Commerce Apriyanto, Budi; Sitio, Sartika Lina Mulani
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2195

Abstract

Tujuan dari penelitian ini adalah untuk  menggunakan algoritma K-Means untuk memeriksa pola konsumen di lingkungan e-commerce. Di era digital saat ini, sangat penting untuk memiliki pemahaman yang mendalam tentang perilaku konsumen, yang membuat bisnis tetap kompetitif. Dengan menggunakan data transaksional yang mencakup faktor -faktor seperti harga akhir dan  diskon, konsumen konsumen penelitian ini  berdasarkan perilaku belanja mereka. Metode Elbow digunakan untuk mengidentifikasi jumlah kelompok yang paling tepat, yang merupakan langkah penting dalam analisis ini. Setelah menentukan jumlah cluster yang optimal dengan menggunakan algoritma K-Means  untuk mengenali berbagai segmen konsumen. K-Means adalah metode yang relatif sederhana dan mudah dipahami yang mencakup pilihan serangkaian centroid (titik tengah) dan pengelompokan data berdasarkan kedekatan centroid. Dengan mengelompokkan pelanggan ke dalam kelompok yang berbeda, K-means dapat membantu untuk mengidentifikasi pola pembelian yang jelas seperti preferensi produk, frekuensi pembelian, dan perilaku belanja. Hasil yang diperoleh menunjukkan bahwa kelompok yang berpendidikan dengan skor siluet 0,54 sangat terpisah dan jelas, menunjukkan bahwa ini menunjukkan kualitas kelompok yang baik. Temuan ini memberikan pemahaman yang berharga tentang perusahaan e-commerce dalam merancang strategi pemasaran yang efisien, mempersonalisasikan pengalaman bagi konsumen, dan memahami perilaku konsumen di pasar online. Oleh karena itu, penelitian ini tidak hanya berkontribusi pada literatur akademik, tetapi juga memberikan pengetahuan praktis yang dapat diterapkan pada strategi bisnis.
Perancangan Aplikasi Inventori Untuk Mengelola Persediaan Barang Pada Toko Jamu Menggunakan Metode FIFO, LIFO Dan Average (Studi Kasus : Toko Jamu Mujur Jaya Cisoka) Ridwan, Muhamad; Apriyanto, Budi
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 4 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

Technological developments are increasingly increasing, encouraging human nature to make the best use of and use technology. The emergence of various types of electronic devices and applications that are growing along with the development of the internet can now be felt almost anywhere. In addition, the current development of computers plays an important role in various fields of business, especially its good ability to process data and information. Mujur Jaya Cisoka is a Jamu Shop that sells various types of Jamu (Raw), Herbal Ingredients, Medicines and so on. In its implementation, data management and data processing are still carried out using conventional methods, for example in stock data storage, sales data are still recorded using stationery, so that data retrieval takes longer, therefore, an Inventory Application is needed for managing goods data. making it easier for store employees to manage item data. In this Inventory Application, in the process the writer uses the FIFO, LIFO and Average methods. Design and implementation is focused on the process of managing the inventory of goods carried out by employees or shop clerks under the supervision of the shop owner. In the final stage of developing this application, an evaluation of the application development process is carried out. What things have been made and what are the shortcomings in application development, will be reviewed in this thesis.
Decision Support System for New Employee Admission at PT XYZ Apriyanto, Budi; Fathoni, Azhar
Formosa Journal of Science and Technology Vol. 3 No. 7 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i7.10454

Abstract

The process of recruiting new employees is one of the important aspects in a company to get the right individuals to fill open positions. PT XYZ, as a company engaged in Transportation services is faced with challenges in the recruitment process of new employees which is still carried out conventionally. This causes a process that takes a long time, is less objective, and has the potential to cause bias. Therefore, this research aims to develop a Decision Support System (SPK) to help PT XYZ in the process of recruiting new employees.