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DESIGN OF MANAGEMENT INFORMATION SYSTEM OF FINAL ASSIGNMENT GUIDANCE (SIMBITA) WEB-BASED Haryadi, eko; Wijayanti, Diah; Yuliandari, Dewi; -, Syafrianto; Bambang, Asep
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 4 No. 1 (2021): Jurnal Teknologi dan Open Source, June 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i1.1313

Abstract

The implementation of guidance in two directions is carried out by discussing, conducting questions and answers, providing input and other activities. However, sometimes the guidance process carried out face-to-face experiences many obstacles so the coaching process does not run optimally and it is not as expected. The most common obstacle is when the supervisor is unable to attend the final assignment guidance. Communication barriers between students and supervisors also affect the success of the final assignment. Hence, it is necessary to develop a way to have the obstacles can overcome better. The method used to solve these problems using the system development life cycle method. The solution is currently using sms or online facilities such as email, social media, or the cloud from a third party. With this system, if face-to-face guidance activities are not possible, the process of preparing student final assignments can be carried out in order to be on time for the graduation of students in the institutions.
Mobile-Based Development of Meeting Room Management Application at PT.Jiwalu Studio Haryadi, eko; Maelani, Dinda; Wijayanti, Diah; Yuliandari, Dewi; Widyastuti, Indria
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 4 No. 2 (2021): Jurnal Teknologi dan Open Source, December 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i2.1703

Abstract

The role of technology greatly helps human life in completing its activities faster. PT. Jiwalu Studio Karawang has begun to use technology, for example, such as online-based attendance with a mobile application. Besides that, there are also activities that have not utilized technology, namely meeting or meeting activities. To use a meeting room, employees must first ask the room administrator about the availability of a meeting room. The meeting room agenda that day will be recorded by the administrator through the meeting agenda book. From the process of borrowing the meeting room, it was deemed too time and energy consuming because everything was done through the administrator. Therefore, development a meeting room management mobile application is created which is expected to be a solution for all employees. In developing this meeting room management application using Prototype method. This method is in accordance with the problems that occur, developers and users will be able to communicate with each other during the system design process
Prediksi Keterlambatan Pembayaran Mahasiswa untuk Mitigasi Risiko Cuti Menggunakan SVM Optimasi PSO Hafis Nurdin; Imam Nawawi; Anus Wuryanto; Dewi Yuliandari; Hari Sugiarto
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 1 (2025): Juni 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i1.15483

Abstract

Delayed tuition payments present challenges for higher education institutions, impacting both financial stability and students’ academic progress. This study proposes a predictive model using Support Vector Machine (SVM) optimized by Particle Swarm Optimization (PSO) to identify students at risk of payment delays. The dataset includes academic and social attributes. A dot kernel SVM was evaluated using 10-fold cross-validation. Results show that PSO optimization significantly improved model performance, particularly in recall, which increased from 36.10% to 65.51%, indicating better identification of delayed payment cases. The analysis also reveals that social factors, such as employment and academic status, strongly influence prediction outcomes. These findings highlight the potential of the SVM-PSO model as a decision-support tool for early intervention, enabling institutions to mitigate dropout risks and enhance financial planning. By leveraging this approach, universities can better support students while maintaining administrative efficiency and institutional sustainability.