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Sistem Penunjang Keputusan Keikutsertaan SNMPTN Bagi Siswa SMAN 1 Kerinci

2024-02-16T14:52:35+00:00

The school decides for students who take part in SNMPTN (National Selection for State University Entrance). SNMPTN participation is determined based on learning results for semesters 1-5. Based on the LTMPT (Higher Education Entrance Test institution) rules, participation in SNMPTN can be determined based on achievements and other scores that can support selection. The aim of this research is to produce a decision support system that will be used in determining student participation in SNMPTN. The method used in this research is the SDLC method with the waterfall model. Waterfall or the waterfall model is a classic, systematic life cycle model in developing software. The calculation process uses Analytical Hierarchy Process (AHP) with the variables of report card grades, achievements and school accreditation. The results obtained show that the report card score, namely 0.721 or 72%, is the highest criterion that influences students to be able to take part in the SNMPTN route and applications that can help in the selection process for the SMAN 1 Kerinci school.

Penerapan Case-Based Reasoning dan SUPR-Q dalam Sistem Diagnosis Kerusakan pada Lokomotif CC 201

2024-02-20T15:07:20+00:00

The railway locomotive has undergone significant progress by transitioning from conventional systems to the use of microcontroller-based sensors. However, to expedite repairs, error identification requires continuous improvement in human resource quality and the development of application systems to assist technicians in identifying issues with the CC 201 locomotive. The system development methodology in this research adopts the waterfall approach, encompassing requirements analysis, system design, implementation, and subsequent system testing. The research aims to construct a system capable of identifying faults and aiding technicians in diagnosing and providing repair solutions for the CC 201 locomotive, utilizing the Case-Based Reasoning method. Research results indicate the system's effectiveness in diagnosing CC 201 locomotive issues based on observed symptoms. Usability testing with 20 respondents using the SUPR-Q method demonstrates excellent ease of use and system satisfaction, achieving a score of 90.86%.

Klasifikasi Jenis Cacat pada Kulit Menggunakan Arsitektur GoogLeNet

2024-02-22T07:49:21+00:00

Deep learning has been proven to be able to provide significant contributions to several fields, including industry. It has also been proven that it has resulted in an outstanding performance for classification, detection, and even segmentation processes. In the leather industry, it also successfully gave valuable results, especially for the leather defect inspection process. This study aims to develop deep learning architecture for classifying leather defect. We used 3600 leather digital images distributed in six types of leather defects. In this study we employed GoogLeNet for classifying the data. Our experiment successfully achieved accuracy of 0.904 in training process and 0.885 in testing process. This result indicated that GoogLeNet provided powerful performance for classifying the type of leather defects.

Implementasi Metode Multi Attribute Utility Theory (MAUT) Dalam Rekomendasi Jurusan Di Perguruan Tinggi Berbasis Tes Minat RMIB dan Nilai Rapor

2024-02-19T14:45:08+00:00

This research highlights students' desire to continue their education at university, but they still experience difficulties in choosing what major to take when they go to college. This problem arises because of students' lack of self-understanding regarding interests and potential. The proposed solution is to use a decision support system by combining interest aspects based on the Rothwell Miller Interest Blank (RMIB) test and students' academic abilities based on report card grades. The method applied in this decision support system is Multi Attribute Utility Theory (MAUT) with the system output in the form of recommendation results displayed in ranking form. From the results of functional testing using black box testing, it shows that the system works well with a success value of 100%, while the accuracy measurement reaches a percentage of 73.425% which is in the sufficient category.

Aplikasi e-Arsip Berbasis Android untuk Guru dan Karyawan di Sekolah Menengah Kejuruan

2024-02-26T04:23:37+00:00

Current technological developments have experienced very rapid developments. Its use is not only to help work in an agency or company but can also create accuracy, speed, and completeness. This also impacts an agency such as SMK Negeri 1 Purwokerto, which wants to utilize technology to manage archival documents in electronic form or electronic archives (e-Archives). E-Archives are a system for collecting and storing information in the form of electronic documents to make them easy to view, manage, find, and reuse. The need for an electronic archive management system is because the archive management process at the agency still uses manual methods by storing archival documents in physical form in a storage area. This method causes several problems with archival documents, such as loss, damage, and difficulty searching for documents. This problem requires a solution to overcome it, namely by building an Android-based application or system as an application for recording and managing archival documents. The development method used is the Software Development Life Cycle (SDLC) method with the waterfall model. The type of research carried out is research and development of the Research and Development method. The final result of this research is to produce a product in the form of an Android-based application for managing archival documents. This research was successfully carried out by referring to functionality testing, which was carried out using the Black Box Testing method.