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Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jalan Raya Pakuan PO. BOX 452, Bogor, Indonesia
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Komputasi
Published by Universitas Pakuan
ISSN : 16937554     EISSN : 26543990     DOI : https://doi.org/10.33751/komputasi.v22i2.29
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Mathematics
Komputasi is a journal that publishes scientific papers in the fields of computer science and mathematics. This journal, published by the Department of Computer Science, Faculty of Mathematics and Natural Sciences, Pakuan University, Bogor. This journal provides an opportunity for researchers or academics to submit papers in the field of computer science, as well as management policies related to all aspects of computers and their subdisciplines. The journal is published twice a year, is well-documented in book form, which includes a wide range of computer science and mathematics papers by authors from various backgrounds. In addition, we also have partners from local editors who graduated as professors from several universities who will review each article before it is published. Every article or paper published in this Journal will definitely be useful for all visitors and readers. Articles submitted to this journal will be reviewed by reviewers before being published by a blind review.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 36 Documents
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Integration of School Leaders and Student Preferences in Determining the Best Teachers Ahmad Jurnaidi Wahidin; Miftah Faroq Santoso; Yusuf Unggul Budiman
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.19

Abstract

This research integrates the preferences of school leaders and students in assessing teacher performance using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) and Multi-Attributive Border Approximation Area Comparison (MABAC) methods. Conducted at SMK YADIKA 5, this quantitative study evaluated teacher performance based on various criteria, including attendance, teaching innovation, leadership, pedagogical skills, and personality. Data collection involved questionnaires for students and school leaders, interviews for deeper insights, and documentation such as attendance records and academic reports to support the evaluation. The MOORA method facilitated decision matrix normalization, criteria weighting, and optimization score calculation, while the MABAC method analyzed alternatives by measuring their distances from ideal and anti-ideal solutions. Both methods consistently identified teacher A7 as the top performer, showcasing their effectiveness in providing objective, fair, and transparent evaluations. The results highlight the practicality of these methods in educational settings to enhance teacher motivation and improve overall teaching quality. This study contributes to advancing performance evaluation frameworks in schools by integrating diverse preferences and offering actionable recommendations. Future research could expand this approach by including additional stakeholders, such as parents or administrative staff, or applying these methods to different educational institutions to further validate and refine the framework for broader use.
IMPLEMENTATION OF GAMIFICATION IN M-LEARNING ENGLISH APPS USING OCTALYSIS FRAMEWORK (CASE STUDY: MTS DEVELOPMENT UIN JAKARTA) Fitri Mintarsih; Difa Risalah Akbar; Victor Amrizal; Hendra Bayu Suseno; Tjut Awaliyah Zuraiyah
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.21

Abstract

Studying and mastering the English language is highly important in the current era of globalization. Considering that the influence of globalization has expanded into various fields such as technology, economy, politics, trade, and more. Technology plays a crucial role in understanding and keeping up with changes in the era of globalization. It helps us acquire information, communicate, enhance productivity, expand opportunities, and adapt to changes. The advancement of information technology has entered various aspects of life, including the field of education. Smartphones are one of the widely favored information technology devices, and Android, as the most widely used smartphone operating system, holds a global market share of 70.48%. There are various learning applications on the Google Play Store, but these apps tend to have monotonous and less interactive content, leading users to quickly feel bored. To address these challenges, this research proposes a solution through the implementation of gamification in English language learning applications. Gamification is a concept aimed at enhancing motivation and learner engagement. The researcher uses the Octalysis Framework as a method or framework for designing effective gamification. The researcher selects Madrasah Tsanawiyah Pembangunan UIN Jakarta as the testing ground for the created application. The User Acceptance Testing (UAT) results reach a score of 83.7, interpreted as 'Very Good.' Post-application usage evaluation also indicates an 18% increase in student motivation. These results show that the M-Learning English application with a gamification approach using the Octalysis Framework can facilitate the learning process, meet the needs of teachers at Madrasah Pembangunan UIN Jakarta, and enhance student motivation and interest in learning.
Usability Evaluation of Learning Management System (LMS) Interface Universitas Pakuan Mobile Version With Heuristic Walkthrough Method Dicky Abdurahman; Muhamad Saad Nurul Ishlah; Aries Maesya
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.25

Abstract

This study aims to evaluate the usability of the mobile Learning Management System (LMS) interface at Universitas Pakuan using the Heuristic Walkthrough method. This method combines Heuristic Evaluation and Cognitive Walkthrough to systematically identify usability problems and assess their severity. Major usability issues were observed in navigation, search functionality, interface consistency, and user guidance, with an average severity rating of 2.72 for Heuristic Evaluation and 2.02 for Cognitive Walkthrough, indicating significant problems. A prototype was developed using the Goal-Directed Design approach, focusing on enhancing navigation, consistency, and functionality. Post-trial evaluation revealed a substantial reduction in severity rating to 0.17, highlighting only minor cosmetic issues. These findings underscore the effectiveness of the proposed approach in improving LMS usability. However, further research is recommended to refine responsive design and explore features beyond the current scope of evaluation.
IOT-based Soil Moisture Monitoring and Water Pump Control System for Ornamental Plants: Sistem Monitoring Kelembapan Tanah Dan Kendali Pompa Air Tanaman Hias Berbasis Iot Attalarik Zidan; Yunita Rahma; Sufiatul Maryana
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 2 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i2.29

Abstract

Ornamental plants cultivation is a type of plant cultivation that is growing rapidly and also has great potential in Indonesia. In Bogor Regency itself, many farmers started developing this ornamental plant after the Pandemic Era. The unique tropical pattern has become a surge in market demand, one of which is the Syngonium type. The challenges for farmers in cultivating ornamental plants come from the environment itself, the country's tropical climate causes Indonesia to have high rainfall and unpredictable heat. There are several types of plants whose growth process is very sensitive to the level of soil acidity. One solution to dealing with this problem factor is to apply intensification. This research aims to create a tool that is a monitoring and control system for water pumps to provide direct information about soil moisture as well as regular irrigation. The system was created using a capacitive soil sensor as input data for 3 soil conditions, namely Dry, Moist and Wet, then sent by the NodeMCU into the database to be displayed via the website and application, all of which are connected to the Arduino cloud, and received by a water pump for periodic irrigation. The result of this research is a prototype system for monitoring soil moisture and controlling water pumps for ornamental plants based on IoT which is expected to help farmers produce good planting media as well as good irrigation in the plant care phase.
Numerical Verification of the Order of Accuracy of a Runge-Kutta-Fehlberg Method in Solving an SEIR Model Lintang Kinanthi Widi; Sudi Mungkasi
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 2 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i2.30

Abstract

A Runge-Kutta-Fehlberg method (RKF45) is considered to solve an SEIR (Susceptible-Exposed-Infected-Recovered) mathematical model for infectious disease transmission. This numerical method is of the Runge-Kutta class, and has theoretical order of accuracy four and five depending on the involved formulations. We limit our problem to the RKF45 formula having theoretical order five. It is important to understand the behavior of RKF45 in solving an initial value problem, especially when implemented for real problems. In this paper, we take an SEIR mathematical model in our case, because this model is applicable in the prediction of infectious disease transmission in real life. Our research method is quantitative. We record the errors of numerical simulations. From the error values, we determine the numerical order of accuracy. Our research results show that RKF45 produces numerical order of accuracy five for the time step is sufficiently small. Therefore, the numerical order of accuracy matches with the theoretical one.
Shallot Growth Stage Monitoring with Multispectral Imagery using MobileNetV2 Yanuar Firmansyah; Nugraha Priya Utama
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 2 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i2.31

Abstract

Shallots are a strategic horticultural commodity, playing a pivotal role in the Indonesian food supply as a staple food. It is anticipated that the demand for shallots will increase in the future. Nonetheless, the production level remains inadequate, necessitating the importation of shallots. The success of the production process is contingent upon the monitoring of the crops by the farmers themselves. The current manual approach to this process has proven to be inadequate, necessitating the development of agricultural technology. Remote sensing has the potential to become a valuable technology in agriculture and represents a feasible methodology for accurate land mapping. However, its application in Indonesia remains constrained by the heterogeneity of the mapped areas and the quality of the images obtained. Furthermore, Indonesia's agricultural land is extensive and heterogeneous. This research presents the use of multispectral cameras for the precise monitoring and mapping of agricultural land. The imaging system employs a multispectral camera attached to a UAV to perform land mapping. RGB imagery and vegetation indices, including NDVI, NDRE, and OSAVI, are calculated to ascertain the crop status within a single shallot planting period. The shallot growth stage prediction is proposed using MobileNetV2 architecture. The proposed method demonstrated an accuracy of 84.78% using RGB and 44.78% using a combination of vegetation indices.
Cybercrime Awareness Phishing Email Using Secure Socket Layer as an Interpretation of Information Security Kotim Subandi; Dinar Munggaran A; Victor Ilyas Sugara; Adriana Sari Aryani; Hermawan T
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 2 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract. Email phishing is a fraudulent technique used by cybercriminals toobtain sensitive information through emails that appear legitimate but havemalicious purposes. Information security has become a crucial aspect in theincreasingly developing digital world, especially along with the increasing threatof cybercrime, such as email phishing. In this context, implementing Secure SocketLayer (SSL) is one solution to increase awareness and mitigate risks againstphishing attacks. SSL, which is a security protocol for data encryption, can helpprotect digital communications by authenticating servers and encrypting datasent, thereby reducing the potential for misuse of personal data sent via email.This research aims to examine the role of SSL in providing protection against emailphishing and increasing user awareness regarding the importance of informationsecurity in the use of digital technology. Through an information securityinterpretation approach, this study suggests that SSL can serve as an effectivebarrier in reducing the risk of phishing attacks and increasing the level of usertrust in the emails received. Therefore, it is important for individuals ororganizations to understand and apply information security principles such as theuse of SSL to maintain the integrity and confidentiality of data exchanged online
The Similarity of COVID-19-Related Profiles and Pandemic Conditions in ASEAN Countries Elis Khatizah
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 2 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i2.35

Abstract

Abstract Abstract This paper examines the potential relationship between countries’ profiles and COVID-19conditions in 10 ASEAN countries, focusing on new confirmed cases and deaths. We initially clusteredthe countries based on demographic profiles and then observed the pandemic situation within each cluster.The samples of genome sequence, particularly the Omicron variant collected from each country, are alsoclustered to investigate the spread of the virus. Furthermore, we created a simple algorithm to identifycountries with profiles similar to ASEAN nations. Our findings show that countries with similardemographic profiles and geographically proximate are more likely to experience similar pandemicconditions even though they have no identical genome sequence of the virus. Five of the 10 ASEANcountries have similar demographic profiles to countries within the ASEAN region and as assumed,experienced similar COVID-19 situations. Conversely, the remaining ASEAN countries, which shareprofiles with countries outside the region, demonstrate fairly different COVID-19 conditions, particularlywith regard to the timing of the spread of the virus. With comparable resources at hand, insights fromcountries with similar profiles provide valuable information for effective pandemic management effortsin the future.Keywords: ASEAN profiles; clustering; COVID-19; demographic; pandemic management
Smart Waste Management System Using Computer Vision Mj Gagnao; Mark Leonel De Isidro; Ronelo Galaura; Jyrillen Segobre; Jamaica Mae Gamala; Reiner Jun Alminaza
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 2 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i2.44

Abstract

Waste management in a university setting is a complex task that involves handling diverse waste streams in classrooms, laboratories, and canteen areas, proper segregation of wastes, and disposal while ensuring compliance with environmental regulations and sustainability goals. In response to the inefficiencies in handling adequate waste segregation at Guimaras State University (GSU), this study presents the development of a Smart Waste Management System using Computer Vision. The system aims to develop a model to classify waste according to waste type, handle automatic segregation, and provide stakeholders with real-time updates. Adopting the Cross Industry Standard Process for Data Mining (CRISP-DM) is part of the approach, including business understanding, data understanding, data preparation, modeling, evaluation, and deployment phases. The complications of waste management processes have been identified through interviews with utility personnel at Guimaras State Unversity – Mosqueda Campus. A prototype bin was developed using hardware electronic technologies and third-party platforms such as Edge Impulse and Blynk to handle waste identification for proper disposal and segregation. The study’s primary results include a substantial decrease in the complexity of the waste management process, as well as promoting adequate waste segregation. By utilizing hardware technologies and training a machine learning model, the system was able to manage waste identification, automated waste disposal operations, and offer real-time updates to the stakeholders. Overall, the Smart Waste Management System using Computer Vision offers efficiency and sustainability in the waste management process at GSU. Keywords: smart waste management; computer vision; arduino; esp32 camera; esp32
IMPROVEMENT MARKET BASKET ON TRANSACTION SALES USING APRIORI ALGORITHM ( Case study : Workshop The Sari (Mulya ) Nurul Aziz; Sri Setyaningsih; Dini Suhartini
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 2 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research refers to the improvement of Market Basket with Apriori Algorithm to analyze Bengkel Las Sari Mulya data. At the implementation stage, Apriori Algorithm is used to find unique values from the data carefully and accompanied by UAT (User Acceptance Test ) testing for tests that can be used as evidence that the software has been accepted with an average value of 4.7 that this application is very satisfying for users and has met the needs of those who request it. To find out the response of the Workshop owner to the application. The results of the analysis show an association between Goods such as Fences and Canopies, by determining a Support value of 15% and Confidence of 20%, resulting in an association rule value with a Support value of 24% and Confidence of 73%. In conclusion, customers who buy fence goods tend to also buy Canopies in one transaction. These results can be used for marketing strategies and stocking goods, for example, with frequently sold goods such as fences and canopies, you can stock goods such as: 2x4 Galvanized Iron, 4x4 Galvanized Iron, 4x8 Galvanized Iron, 5x10 Galvanized Iron, spandek, Alderon, Because from these results, fences and canopies can be found, goods that are often sold and it can be seen that both use the materials used in making goods, the owner will easily make decisions regarding the plan each month. Say Key: Apriori Algorithm, Transaction Data, Welding Workshop.

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