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All Journal Idealis : Indonesia Journal Information System J-Intech (Journal of Information and Technology)
Ade Saputra, I Gede Pramana
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science

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IMPLEMENTASI METODE AGILE PADA RANCANG BANGUN SISTEM INFORMASI CAREER DEVELOPMENT CENTER PERGURUAN TINGGI Dwi Ardiada, I Made; Prawira Kusuma, Agus Tommy Adi; Sarwa Edy, Raden Agus; Ade Saputra, I Gede Pramana
IDEALIS : InDonEsiA journaL Information System Vol. 8 No. 1 (2025): Jurnal IDEALIS Januari 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v8i1.3300

Abstract

Higher education institutions in the digital era are faced the challenge of providing effective and efficient career services for their students. The current problem is the process of providing information on job vacancies in universities which is still posted in paper form and placed on glass walls. Apart from that, there are still many universities that do not have online information services to support careers for graduating students, one of which is the Career Center Service. On the partner side (agencies/industry) which require human resources, they still conventionally provide career information to universities in paper form which requires a glass wall to display the information so that it can be read by visitors who need the information. This research aims to design a university Career Development Center (CDC) Information System by implementing the Agile Method to overcome this problem. With the Agile method, the CDC information system design process in university becomes more effective and efficient. The stages of the Agile method are planning, Design, Testing, implementation, Review and Launch. The results obtained in this research are the CDC information system with 3 level access rights, namely student affairs, partners (company/industry agencies), and alumni/visitors. This research aims to create a CDC information system that can help universities have online services related to the Development of students who have graduated in obtaining job vacancy information flexibly, besides that students who have graduated and partners (agencies/industry) can online access information/provide vacancy information without the need to submit vacancy information papers to universities.
Analisis Tingkat Kematangan Sangraian Biji Kopi Menggunakan Ekstraksi Fitur Warna Ade Saputra, I Gede Pramana; Rahayu, Prastyadi Wibawa; Ardiada, I Made Dwi
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1258

Abstract

This research aims to develop a digital image analysis system that can determine the level of maturity of roasted coffee beans, in terms of detecting roasted coffee beans that are suitable and not suitable for consumption and sold as quality coffee (special coffee) as stated in the coffee bean classification standards provided by SNI No. 01-2907-1999. This research aims to develop a digital image analysis system that can determine the level of maturity of roasted coffee beans in terms of color. The color feature extraction used in this research is the HSV (Hue Saturation Value) color space. This research began by collecting data in the form of 2D digital images of roasted coffee beans. The system developed in this research consists of two main stages, namely training and testing. The amount of coffee bean image data used was 90 images. The data used is in the form of images of coffee beans consisting of three levels, namely dark, light and medium. Classification uses the Naive Bayes algorithm. Based on the results of research on the analysis of coffee bean maturity levels, the highest training accuracy was 100% and the highest testing accuracy was 100%.
Co-Authors Dwi Ardiada, I Made I Made Dwi Ardiada Prastyadi Wibawa Rahayu Prawira Kusuma, Agus Tommy Adi Sarwa Edy, Raden Agus