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Arie Vatresia
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Jurnal Pseudocode
Published by Universitas Bengkulu
ISSN : 23555920     EISSN : 26551845     DOI : https://doi.org/10.33369
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering
Pseudocodeis a scientific journal in the information science family that contains the results of informatics research, scientific literature on informatics, and reviews of the development of theories, methods, and application of informatics engineering science. Pseudocode is published by the Informatics Study Program, Faculty of Engineering, University of Bengkulu. Editors invite researchers, practitioners, and students to submit article manuscripts in the field of informatics engineering. Pseudocode is published 2 (two) times a year in February and September with p-ISSN 2355-5920 e-ISSN 2655-1845. Jurnal Pseudocode is Accredited by the Ministry for Research, Technology and Higher Education (RISTEKDIKTI) in SINTA 4 No. 36/E/KPT/2019 since 13 December 2019.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 210 Documents
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Implementasi Metode Case Base Reasioning dan SUPR-Q Untuk Sistem Diagnosis Kerusakan Lokomotif CC 201 MZ, Yumarlin; Rahayu, Sri; B, Jemmy Edwin
Jurnal Pseudocode Vol 11 No 1 (2024): Volume 11 Nomor 1 Februari 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.1.7-14

Abstract

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%.
Sistem Penunjang Keputusan Keikutsertaan SNMPTN Bagi Siswa SMAN 1 Kerinci Hamsiah, Hamsiah; Zamidra Zam, Efvy
Jurnal Pseudocode Vol 11 No 1 (2024): Volume 11 Nomor 1 Februari 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.1.1-6

Abstract

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.
Rancang Bangun Sistem Informasi Manajemen Angka Kredit Tenaga Kesehatan (SIMAK NAKES) Pada Dinas Kesehatan Kota Surakarta Berbasis Web Setiawan, Yudi; Khusnuliawati, Hardika; Hari Saputro Al Haris, Firdhaus
Jurnal Pseudocode Vol 11 No 2 (2024): Volume 11 Nomor 2 September 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.2.45-53

Abstract

The Surakarta Health Service oversees work units that have health functional positions. As one of the requirements for promotion and position, employees must create a credit point. However, the management process for determining credit points by the Surakarta Health Service is still manual using microsoft word and microsoft excel. It causes a long process, difficulty in finding information, and the risk of data loss. The research aims to design a web-based information system that will optimize the management of credit scoring for health workers at the Surakarta Health Service. The system development method used the waterfall method. System design used (UML) Unified Modeling Language. The system testing method used black-box testing and questionnaire testing. This research produces a website-based system at the Surakarta Health Service which has three actors, namely admin, UPT admin and users who have different access rights. The results of system testing using the black-box testing method show that the system is running well. The results of questionnaire testing using a Likert Scale shows that an average of 54.14% strongly agree with the use of the system, appearance, language, information, according to applicable guidelines, up to date, system performance, and system usefulness. Meanwhile, 46.25% agree that data management and information could be trusted. Keywords: Credit Point, Surakarta Health Service, Functional Position, Simak Nakes, Health Workers
Penerapan Data Mining Untuk Clustering Data Pencari Kerja dengan Menggunakan Algoritma K-Means Susilowati, Desy; Wicaksono, Yanuar
Jurnal Pseudocode Vol 11 No 2 (2024): Volume 11 Nomor 2 September 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.2.54-58

Abstract

Job seekers applying for employment must adhere to the policies of the desired company. A current and relevant issue is the high number of job seekers who struggle to secure employment due to various factors, including educational levels and job availability in different regions. Job applicants across various companies often possess diverse age and educational qualifications, particularly in the Bantul Regency, D.I Yogyakarta. The data utilized in this research is sourced from the Bantul District Manpower and Transmigration Office. Data processing is carried out using Data Mining or Knowledge Discovery in Database, employing the clustering method with the K-Means algorithm to categorize job seeker data into desired clusters. The aim of this study is to group job seeker data in the Bantul Regency and segregate them into groups with distinct characteristics. Testing is conducted using the RapidMiner software, a Data Mining tool with various available methods. The grouping of job seeker data is expected to assist the government in evenly distributing jobs to job seekers and reducing the accumulation of job seeker data annually. Additionally, it can aid the Bantul District Manpower and Transmigration Office in planning and allocating resources according to needs. The implementation results of the K-Means algorithm on job seeker data, tested from k=2 to k=10, yield the best cluster at k=2 with a Davies Bouldin Index (DBI) value of 0.523. Cluster_0 consists of 214 members, while Cluster_1 consists of 36 members. Therefore, the smaller the Davies Bouldin Index (DBI) value, the higher the similarity level of data within one cluster. Keywords: Data Mining, Job Seekers, RapidMiner, Clustering, K-Means Algorithm
Klasifikasi Jenis Cacat pada Kulit Menggunakan Arsitektur GoogLeNet Prananda, Alifia Revan; Frannita, Eka Legya
Jurnal Pseudocode Vol 11 No 1 (2024): Volume 11 Nomor 1 Februari 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.1.15-20

Abstract

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.
Diagnosis Gangguan Autisme Pada Anak Menggunakan Metode Certainty factor dan Lokasi Terapi Autisme di Kota Bengkulu Rima Yanti Nasution, Nofa; Andreswari, Desi; Coastera, Funny Farady
Jurnal Pseudocode Vol 11 No 2 (2024): Volume 11 Nomor 2 September 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.2.59-68

Abstract

Autism is a developmental disorder that affects children with symptoms of disturbances and delays in cognition, language, behavior, communication and social interactions. Bad stigma and lack of information related to autism and the location of autism therapy are also obstacles in society. To help overcome these obstacles, an expert system was created which aims to diagnose autism disorders in children and provide information about the location of autism therapy in Bengkulu City. The system developed uses the certainty factor method, with functionality testing success of 100% and certainty factor accuracy testing using 25 test case data of 100%. Keywords: Autism, Certainty Factor, Diagnosis, Location of Therapy
Perancangan Desain Website Cetak.id Menggunakan Metode User Centered Design (UCD) Ridwan, Muhammad; Maysanjaya, I Made Dendi; Pratiwi, Putu Yudia
Jurnal Pseudocode Vol 11 No 2 (2024): Volume 11 Nomor 2 September 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.2.69-78

Abstract

Printing is currently a necessity for society in printing documents, printing banners, brochures, posters and so on. However, in its implementation there are problems such as customers canceling orders unilaterally, long queues at printing places, miscommunication between customers and service providers, and poor queue management. Based on these problems, there is a need for a system to manage the printing process. Before system development there needs to be a design to ensure that the system being built meets user needs. The research created a prototype design for ordering a print service called Cetak.id using the User Centered Design (UCD) method. At the testing stage, 2 tests were carried out by testing 5 aspects of usability. The first test was carried out based on the results of the design made, while the second test was carried out based on the results of the improved design from the first test. Based on the first and second tests for each group of users from service providers and service seekers, the results obtained were that the Learnability aspect had increased by 12% and 8%, respectively, the Efficiency aspect had increased by 0.043 goals/second and 0.023 goals/second, respectively. in the Memorability aspect there was an increase of 16.14% and 19.85% respectively, in the Error aspect there was a decrease of 0.04 and 0.09 respectively, while in the Satisfaction aspect using the Questionnaire for User Interaction Satisfaction (QUIS) each experienced an increase in indicator 1 of 0.64 and 0.72, indicator 2 is 0.7 and 0.3, indicator 3 is 0.83 and 0.73, indicator 4 is 0.87 and 0.7, and indicator 5 is 0.84 and 0.68. Keywords: Cetak.id, UCD, Usability Testing, QUIS
Penilaian Pembayaran Kredit dengan Logistic Regression dan Random Forest pada Home Credit Yulianti, Titin; Cahyana, Amanda Hasna; Komarudin, Muhamad; Mulyani, Yessi; Septama, Hery Dian
Jurnal Pseudocode Vol 11 No 2 (2024): Volume 11 Nomor 2 September 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.11.2.79-88

Abstract

Global economic development has led to the high complexity of society's needs. Financial institutions are here to provide facilities to meet the increasingly complex needs of society. However, the existence of problem loans can be a serious threat so classification techniques in data mining are used to overcome this problem. This research develops a model that can predict customers' ability to make credit payments so that financial institutions can avoid problematic credit. In this research, the SMOTE resampling technique is used to see the effect of sampling in dealing with class imbalance and conducting credit assessments. The research results show that the model built using SMOTE has better AUC than the model without SMOTE. From the two machine learning algorithms, logistic regression and random forest, the results show that the random forest model with SMOTE has the best performance with an accuracy value of 90%, precision of 92%, recall of 88%, F1-score of 90%, and AUC value of 0.97. Based on the best model, ten important features were obtained that influence the process of assessing credit repayment capabilities, namely the normalized score from external data sources, the period for changing customer numbers, the number of previous installment payments, the customer's age, registration time, the period for applying for credit at the credit bureau, the period for changing identity documents, the time for updating information at the credit bureau, and the length of time the customer has worked. In addition, this research produces visualizations via dashboards that can be used to improve the process of assessing credit repayment capabilities. Keywords: Prediction; Logistic Regression; Random Forest; Credit; Repayment Capabilities.
PENGEMBANGAN GAME RHYTHM: DHOL BEAT MENGGUNAKAN ALGORITMA RULE-BASED PADA ANAK-ANAK DI SANGGAR SENI ERFAM Natalio, Jandri; Purwandari, Endina Putri; Renaningtias, Nurul
Jurnal Pseudocode Vol 12 No 1 (2025): Volume 12 Nomor 1 Februari 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.12.1.7-11

Abstract

Dhol is a traditional musical instrument of the Malay Bengkulu used in the Tabut ritual. The learning process for the Dhol musical instrument also takes place at Sanggar Seni Erfam. However, this learning process is not routine. Therefore, a reminder is needed so that they can repeat the beats they have learned at the sanggar. A rhythm game is a type of video game that emphasizes coordination of movements with rhythm or music, making it easier for children to recall the beats they have learned at the sanggar. A Rule-Based algorithm provides clear structure and control in gameplay development. The rule-based algorithm ensures that players start at a low level first, allowing them to understand the basic beats before moving on to more complex ones. With System Usability Scale testing to measure the effectiveness of the rule-based algorithm in the Dhol Beat Rhythm Game, a score of 81.12 was obtained, indicating that it is acceptable or has a good level of usability and can be concluded to be useful. Keywords : Dhol, Rhythm Game, Rule-Based Algorithm, System Usability Scale.
Implementasi Data Mining Dalam Proses Analisa Sentimen Penggunaan Sunan (Sinau Temenanan) E-Learning UMK Sebagai Media Pembelajaran Menggunakan Metode Naïve Bayes Classifier Pramita, Alvina Gusti; Triyanto, Wiwit Agus; Muzid, Syafiul
Jurnal Pseudocode Vol 12 No 1 (2025): Volume 12 Nomor 1 Februari 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.12.1.1-6

Abstract

The advancement of information technology has driven the adoption of e-learning platforms, including Sunan (Sinau Temenanan) at Universitas Muria Kudus (UMK). This study aims to analyze students' perceptions and satisfaction with the Sunan platform through sentiment analysis. A total of 300 questionnaire responses were collected, with sentiments categorized into 151 negative and 148 positive. Data Mining techniques, specifically the Naïve Bayes Classifier algorithm, were utilized for sentiment classification. The research process included data collection, preprocessing (case folding, tokenizing, filtering, and stemming), transformation using the TF-IDF method, and model evaluation. The evaluation results demonstrated an accuracy of 88.24%, with precision, recall, and F1-score of 83.33%, 83.33%, and 85.51%, respectively. These findings highlight the algorithm's effectiveness in sentiment analysis and provide valuable insights for improving the Sunan platform to enhance user experience and better meet student needs. Keywords: Data Mining, Sentiment Analysis, E-Learning, Naïve Bayes.

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