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Rekomendasi Karyawan Tetap Menggunakan Metode Weighted Product (WP) pada PT. KB Multifinance Terisia, Vany; Arman, Shevti Arbekti; Syamsu, Muhajir
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol. 7 No. 1 (2024): J-SISKO TECH EDISI JANUARI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v7i1.9518

Abstract

Sumber Daya Manusia (SDM) memegang peranan krusial dalam mencapai tujuan perusahaan, karena kualitasnya sangat memengaruhi produktivitas dan kinerja organisasi. Potensi pegawai tercermin dalam pencapaian kerja, membandingkan hasil kerja dengan standar yang ditetapkan. Proses pemilihan calon karyawan tetap di PT. KB Multifinance, perusahaan pembiayaan multiguna, melibatkan evaluasi tahunan dengan tiga hasil rekomendasi: diangkat sebagai karyawan tetap, dikontrak kembali, atau diberhentikan. Penilaian kualitas karyawan tetap dilakukan berdasarkan Pencapaian Sasaran Kerja (KPI), Kompetensi Kerja, dan Kompetensi Perilaku (Behavioral Competencies). Namun, metode perhitungan matematis biasa yang digunakan saat ini menimbulkan kompleksitas dan memerlukan peningkatan efisiensi. Oleh karena itu, penelitian ini memfokuskan pada pembangunan sistem pendukung keputusan dengan menerapkan metode Weighted Product (WP). Metode ini menggunakan perkalian untuk menghubungkan nilai kriteria, dengan pembobotan pada setiap kriteria yang dipangkatkan. Tujuannya adalah meningkatkan objektivitas dan efektivitas dalam penilaian calon karyawan tetap di PT. KB Multifinance. Kesimpulan penelitian menunjukkan pengembangan sistem WP untuk identifikasi calon karyawan tetap dan hasil partisipasi calon yang dihitung secara efektif melalui langkah operasional sistem, mengurangi ketergantungan pada perkiraan subjektif.
Mobile-Based Mathematics Quiz Application (Case Study of International Mental Arithmetic Course) Boynge, Abyan Taqy; Arman, Shevti Arbekti; Gumelar, R. Tommy
Journal of Computer Science Advancements Vol. 1 No. 5 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v1i5.533

Abstract

A mobile application is a program that can run on the operating system of a mobile device, such as a smartphone. The background of this research is that when registering and taking courses at IMA Indonesia, the course institutions are still using conventional learning methods and not applying technology to enhance more interactive learning. The purpose of this study was to design a Mathematics Application for learning mobile-based arithmetic quizzes for elementary school students at IMA Indonesia. In this study, researchers used qualitative research methods. The use of qualitative methods can provide a broad understanding of the experiences and views of students and teachers regarding the effectiveness of using Mathematics applications in arithmetic quizzes. Qualitative data collection methods through observation and interview techniques. The application is designed using the Extreme Programming (XP) method. The goal of the XP method is to produce quality, productive, and cost-effective software during changes in the software development stage. The results of this study designed a Mathematics Application for mobile-based arithmetic quizzes using the Flutter framework and the Firebase database which has learning menu contents and quizzes. Based on the conclusions of this study, namely the application of mathematics to Android-based arithmetic quizzes at IMA Indonesia can improve the quality of learning in the application of mathematics to Android-based arithmetic quizzes
Gas Store Data Analysis Using ERD Method and Constitutional Data Warehouse Model Risaldi, Fahmi; Terisia, Vany; Arman, Shevty Arbekti; Yusuf, Diana
Journal of Computer Science Advancements Vol. 1 No. 3 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v1i3.540

Abstract

A data warehouse is a data storage system that plays a crucial role in business analysis. It collects, integrates, and stores data from multiple sources in a structured format, providing holistic insight into organizational performance. Entity-Relationship Model (ERD) is a visual tool for designing database structures. It uses entities to represent real-world objects and the relationships between them. ERD helps plan an efficient and coherent database design. A conceptual model is an abstract visual representation of information structures and relationships within a domain. It covers key concepts and business rules, assisting in building a solid foundation of understanding before technical designing begins. All three are interrelated in the development of successful information systems. Data warehouses use conceptual models to direct effective data storage design, while ERD helps describe the entities and relationships to be stored in the data warehouse. The combination of all three enables organizations to design, develop, and maintain adequate information systems, based on a deep understanding of data and its relationships. This results in better decision making, more efficient innovation, and optimal utilization of resources. The purpose of this study is to produce optimal data using the ERD method. The main objective is to explain how much data in an information system in the Company and how data management is crucial for effective decision making.
Development of Adaptive Lecture Scheduling System using Genetic Algorithm Case Study: Ahmad Dahlan Institute of Technology and Business Ardana, Nandika Bayu; Hastomo, Widi; Arman, Shevti Arbekti
Journal of Computer Science Advancements Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i4.1310

Abstract

Optimal course scheduling is a crucial aspect in supporting the efficiency of the teaching and learning process in higher education. In many institutions, lecture scheduling is still done manually or with static methods that are not adaptive to changing needs and limited resources. This research aims to develop an adaptive lecture scheduling system using genetic algorithms, with a case study at ITB Ahmad Dahlan. Genetic algorithms were chosen because of their ability to solve complex optimization problems with high efficiency, such as managing dynamic variables such as lecturer availability, rooms, and lecture time preferences. In this research, data related to courses, lecturers, time, classroom availability, and curriculum requirements are integrated into the designed system to generate an optimal course schedule. The development process involved several key stages, including requirements analysis, system design, algorithm implementation, and performance evaluation. Genetic algorithm implementation is done by simulating various scheduling scenarios to find the most optimal solution. The results show that the developed system is able to produce a more efficient and clash-free course schedule compared to traditional scheduling methods. In addition, the system also allows higher flexibility in adjusting the schedule to changes that may occur, such as the addition or reduction of classes. Thus, this research makes a significant contribution in improving the quality of educational services at ITB Ahmad Dahlan as well as offering solutions that can be adopted by other educational institutions facing similar challenges.
Design of Pest Detection and Repellent Device Based on Arduino Uno using Pir (Passive Infrared Receiver) Sensor Prasetyo, Nur Adi; Syamsu, Muhajir; Arman, Shevti Arbekti
Journal of Computer Science Advancements Vol. 2 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i5.1326

Abstract

This research aims to design and develop a technology-based pest detection and repellent device using the Arduino Uno R3 microcontroller. This tool is designed to overcome the problem of the presence of insect pests and rats on the KWT Gemas Imlan agricultural land. The developed system integrates various sensors and modules to achieve optimal performance. The PIR sensor is used to detect the movement of pests around agricultural areas, while the LDR sensor functions to measure light intensity as one of the parameters of equipment operating conditions. As an expulsion measure, this device is equipped with an NE555 module which emits high frequency sound waves to repel or force pests to leave the agricultural area. Testing is carried out in stages, starting from individual testing of each sensor to testing the entire system. The research results show that this tool can operate automatically with a fast and accurate response, so it has the potential to be an effective solution for controlling pests on agricultural land.