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Journal : jurnal media computer science

Expert System in Helping Students Diagnose Car Engine Damage Using the Expert System Development Life Cycle (ESDLC) Method Erwansyah, Riska; Wahyudi, Jusuf; Prahasti, Prahasti
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3347

Abstract

At school, especially in Automotive Vocational High Schools, a learning process is carried out by helping students to recognize and overcome problems that occur in motorbike/car damage. One of the SMKs that has an Automotive expertise program is SMK Negeri 2 Bengkulu City. So far, the automotive learning system has used books and pictures to support the learning process at school. However, this sometimes has problems, where students do not fully understand the material given, and on the other hand students have difficulty learning independently either in the school environment or at home. Expert systems in helping students diagnose car engine damage using the Expert System Development Life Cycle (ESDLC) method can be accessed online with internet access via the web link http://riska.vad.my.id. This expert system application is made using the PHP programming language and MySQL database. This expert system application has been embedded with the ESDLC method with the Forward Chaining inference engine which is used to trace damage to car engines based on the symptoms experienced by the car engine. This expert system application can help facilitate the understanding of students at SMK Negeri 2 Bengkulu City in diagnosing car engine damage, by providing consultation directions starting from entering symptoms to getting consultation results. Based on the system testing that has been done, it can be concluded that the functionality of the application has been running well and this expert system can provide consultation results based on the symptoms selected by the user through the stages of the Expert System Development Life Cycle (ESDLC) method.
Comparison of the DES Cryptographic Algorithm and the AES Algorithm in Securing Document Files Suwarni, Meli; Wahyudi, Jusuf; Khairil, Khairil
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3348

Abstract

The document file security application at the Bengkulu City Education Office was made using the Visual Basic .Net programming language. In this application, 2 cryptographic algorithms have been implemented that can be used to secure document files, especially the employee payroll list file, namely the DES algorithm and the AES algorithm. In addition, this application has also embedded a process to analyze the comparison of the DES and AES algorithms, so that it can be known which algorithm is better to use. The comparison aspect consists of 2 aspects, namely processing time and file size after processing. Based on the tests that have been carried out, it can be concluded that the document file security application at the Bengkulu City Education Office is capable of carrying out the process of encrypting and decrypting document files and the functionality of the application has run as expected. From the test data that has been carried out by the encryption and decryption process, the results obtained based on the encryption processing time show that the AES algorithm is faster than the DES algorithm, based on the decryption processing time it is found that the AES algorithm is faster than the DES algorithm, based on the file size after the encryption process it is found that the DES algorithm and the AES algorithm have the same file size, based on the file size after the decryption process it is found that the DES algorithm and the AES algorithm have the same file size
The Implementation Of K-Means Clustering Method To Product Sales Data At Pratama Elektronik Shop, Taba Lagan Village, Central Bengkulu Regency Yoga Putra Pratama; Jusuf Wahyudi; Eko Suryan
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11974

Abstract

The implementation of K-Means Clustering method to product sales data at Pratama Elektronik shop, Taba Lagan Village, Central Bengkulu Regency, can assist store management in grouping sales data automatically and in a computerized manner, as well as providing information regarding product sales patterns that can be used to support decision-making, particularly in inventory management. The clustering results consisted of three groups: Cluster C1 (high-sales category), Cluster C2 (medium-sales category), and Cluster C3 (low-sales category). Based on testing using 100 sales data records from Pratama Elektronik shop, Taba Lagan Village, the results showed that 76 products were classified in the low-sales category, 21 products were classified in the medium-sales category, and only 5 products were classified in the high-sales category.
Implementasi Data Mining Algoritma K-Nearest Neighbor Pada Penentuan Pemberian Sanksi Disiplin Di Rumah Sakit Umum Daerah Dr. M. Yunus Bengkulu Fiqi Aprianto; Jusuf Wahyudi; Ila Yati Beti
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.12078

Abstract

Regional General Hospital (RSUD) Dr. M. Yunus Bengkulu is a government-owned health care facility with a strategic role in providing health services to the public, making employee discipline an important factor to maintain. The determination of disciplinary sanctions for employees at RSUD Dr. M. Yunus Bengkulu is still carried out manually based on recorded violation data, which requires a relatively long time and has the potential to create subjectivity in decision making. This study aims to apply the data mining method using the K-Nearest Neighbor (K-NN) algorithm to classify employee disciplinary sanctions based on five assessment attributes, namely years of service, number of tardiness incidents, number of unexplained absences, SOP violations, and service ethics violations. The system was developed using the Waterfall development method and implemented as a web-based application using the PHP programming language and MySQL database. Testing was conducted on 20 training data and 20 testing data using a K value of 5, calculated from the square root of the number of training data. The test results show that the K-Nearest Neighbor algorithm is able to classify employee disciplinary violation data into four sanction categories, namely no sanction, verbal warning, written warning, and disciplinary sanction, with an accuracy rate of 90%. Black box testing results also show that all system functions run according to requirements. This research is expected to help the management of RSUD Dr. M. Yunus Bengkulu make decisions on employee disciplinary sanctions in a more objective, consistent, and measurable manner.
Implementasi Metode Service Quality Untuk Mengukur Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Fakultas Ilmu Komputer Zashosudi Shoranto; Jusuf Wahyudi; Rizka Tri Alinse
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.10151

Abstract

Higher education demands the provision of quality academic services to ensure user satisfaction, specifically student satisfaction. The Faculty of Computer Science (Filkom) at Dehasen University, Bengkulu, does not yet have a measurable system for evaluating its service quality, making it difficult to identify areas for improvement based on student feedback. This study aims to implement the Service Quality (ServQual) method to measure student satisfaction with Filkom's academic services. The ServQual method is used to analyze the gap between student perceptions and expectations across five service quality dimensions: tangibles, reliability, responsiveness, assurance, and empathy.The results of the ServQual analysis indicate that overall, students are dissatisfied with the services provided. All dimensions and indicators received negative gap scores, with the Responsiveness dimension recording the largest gap. The conclusion of this study is that the ServQual method is effective as an objective service quality measurement tool. The developed application not only provides a comprehensive overview of student satisfaction levels but also serves as an efficient monitoring tool for the faculty to implement continuous improvement.
Co-Authors Adriyani Prawitasari Afrio Royzen Ahmad Asyhari Aji Sudarsono Aji Sudarsono Alani , Gina Dwi Alinse, Rizka Tri Alparisa, Egen Tri Andayani Andayani Andre Gustiawan Andre Pranata Andriyani Prawitasari Andwini Prasetya Ariantara, Yudi Aris Syafrando Ariska, Yesi Indian Arius Satoni Kurniawansyah Arliando , Yode Azuwandri, Azuwandri Benni Candra Berlian Berlian Chisillia Mayangsari Deddy Pertan Sagala Desi Mahdalena Desy Maryani Devi Sartika Devi Sartika Devina Ninosari Dewi Suranti Diah Selviani, Diah Efendi, Yanto Eko Prasetiyo Rohmawan Eko Prasetyo Rohmawan Eko Suryan Eko Suryana Eko Suryana Elfianty , Lena Erwansyah, Riska Eva Ramalia Sari Evi Andriani Evi Lorita, Evi Fenti Randita Feri Hari Utami, Feri Hari Feri Saputra Fido Rama Nugraha Fiqi Aprianto Fitri Alfarisy Fredricka, Jhoanne Fredricka, Jhoanne Ganda, Orlando Bona Gunawan, Sukro Adi Hamzah, Alfanisah Ramita Helvi Ramadhanti Rossa Herlina - Hermawansyah Hermawansyah Hesti Nur'aini Hesti Nur’aini Ida Anggriani Ila Yati Beti Imma Rachayu, Imma Indra Kanedi Iswidana Utama Putra Iwan Junaidi Jhoanne Fredricka Juju Jumadi Julita, Rina Jumadi , Juju Jumadi, Juju Junaidi, Iwan Kara, Radja Bagas Khairil Khairil Khairil Khairil Kharien Eka Putri Kiki Nadia Kurniawansyah , Arius Satoni Lena Elfianty Lina Widawati Luhtfiah, Izza Lutfhia , Izza Martianti Maryaningsih, Maryaningsih Meizoni, Putra Melisa Elistri Nia Ade DO Nirta Vera Yustanti Nofi Qurniati Nugraha, Fido Rama Nugroho Ponco Riyanto Orlando Bona Ganda Pertan Sagala, Deddy Prahasti Prahasti, Prahasti Rachayu , Imma Radja Bagas Kara Randita, Fenti Redi Satrio Reno Supardi Reno Supardi Ricky Zulfiandry Riki Ternando Rizka Tri Alinse Rohmawan , Eko Prasetiyo Romzi - Ronaldo Praja Saputra Roni Herdian Saputra Rosdiana Rosdiana Sanjaya, Ahdi Santi Weliana sapri sapri Sapri Sapri Saputra, Ronaldo Praja Sarah Ulfah Al Amany Sartika, Devi Sastya Hendri Wibowo Setiawan, Gana Wahyu Siska Apriyani Apriyani Siti Sundari Sudarsono , Aji Suranti , Dewi Suwarni Suwarni Suwarni Suwarni, Meli Ternando, Riki Trianggono, Muhamad Ibnu Vebi Hardiansyah Wahyu Al Amar Wahyu Hidayat Widodo Widodo Wijaya, Beni Dera Wizura, Kelvin Ade Yode Arliando Yoga Putra Pratama Yossie Yumiati Yulistika Handini yupianti yupianti Zashosudi Shoranto Zulfiandry, Ricky