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Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Published by Asosiasi Riset Ilmu Matematika dan Sains Indonesia
ISSN : 30326249     EISSN : 30465419     DOI : 10.62383
Core Subject : Science,
Computer Science & IT
Jurnal ini adalah jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam yang bersifat peer-review dan terbuka. Bidang kajian dalam jurnal ini termasuk sub rumpun Ilmu Komputer, dan Ilmu Pengertahuan Alam.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 101 Documents
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Desain dan Implementasi Web Pemesanan Makanan untuk Mempercepat Proses Antrean Pelanggan Rifqi Putra Winanda; Nazwa Salsyabilla Ramadhani; Repi Meilani Putri; Nuriana Sipahutar
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 3 No. 6 (2025): November : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v3i6.781

Abstract

Lengthy, disorganized physical queues in conventional food ordering systems, particularly within canteens, significantly compromise customer convenience and operational efficiency. This direct-ordering model often results in crowd congestion, unpredictably long waiting times, and potential friction among patrons. To address these operational issues and substantially enhance user satisfaction, this research proposes the development and implementation of an innovative Web-Based Food Ordering System. This digital platform allows customers to place orders entirely online, effectively eliminating the need for physical queuing. The system's core functionality is the realtime monitoring of order status and queue position, providing transparent information directly to the customer's device. For canteen management, the application offers a crucial tool for integrated and structured order handling, ensuring staff can prepare meals more accurately and promptly. By transforming the ordering process into a streamlined digital workflow, the system is expected to accelerate the service cycle, minimize unnecessary crowding, and substantially improve customer satisfaction through a modernized, well-organized, and highly efficient experience. This initiative represents a significant step toward smarter and more responsive food service operations.
Sistem Informasi Pelayanan Pendaftaran Peserta KB Berbasis Web pada Puskesmas Wee Karou di Kabupaten Sumba Barat Vinansa Louru Dairu; Adelbertus Umbu Janga; Mitra Permata Ayu
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 3 No. 6 (2025): November : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v3i6.784

Abstract

The Web-Based Information System for Family Planning (FP) Participant Registration at the Wee Karou Community Health Center in West Sumba Regency aims to simplify the registration process for FP participants, improve efficiency, and provide easier access for the community to FP services. Previously, the registration process was conducted manually, which often led to delays, data processing errors, and time inefficiency. Therefore, an information system is needed to digitalize the registration and data management processes of FP participants. This system is developed using web-based technology that enables the Wee Karou Health Center to conduct online FP participant registration, monitor program progress, and generate reports more quickly and accurately. The main features of the system include online FP participant registration, participant data management, service schedule monitoring, and the generation of statistical reports related to FP services. The implementation of this system is expected to reduce data entry errors, accelerate the registration process, and enhance transparency and data accuracy. In addition, it provides convenience for the community to register without having to visit the health center directly. Thus, the Family Planning services at Wee Karou Community Health Center are expected to become more optimal, effective, and efficient in supporting government programs for population control and better family planning.
Sistem Informasi Praktek Kerja Industri bagi Siswa Kelas XII pada Sekolah SMK Kasimo Kererobbo Margareta Dairo; Gergorius Kopong Pati; Maria Wilda Malo
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 3 No. 6 (2025): November : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v3i6.798

Abstract

The Industrial Internship (PKI) Information System for 12th-grade students at Kasimo Kererobbo Vocational School aims to simplify the process of managing and monitoring students' PKI activities in an efficient and structured manner. This system is designed to integrate various information related to PKI activities, from registration of partner companies, student placement, to reporting of PKI activity results. By using a web-based system, the administrative process becomes more transparent and can be accessed by students, supervising teachers, and partner companies in real-time. In addition, this system also allows monitoring of student progress during PKI and facilitates communication between the school and partner companies. The results of this system development are expected to improve the quality and effectiveness of PKI implementation, while simplifying administration that has been done manually. This system also makes it easier for students to choose partner companies that suit their majors and interests, and provides faster and more timely access to reports and evaluations of PKI results.
Peningkatan Pemahaman Siswa tentang Makanan Sehat dan Bergizi melalui Pembelajaran Berbasis Media Gambar di Kelas IV MI Al-Barokah Siti Amanda; Muhammad Suwignyo Prayogo; Aprilia Yuliantika; Maimunah Maimunah
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 3 No. 6 (2025): November : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v3i6.815

Abstract

This study originated from the issue of students’ limited comprehension of healthy and nutritious food concepts, which influences their lack of awareness in practicing a balanced diet in daily life. The conventional learning approach with minimal integration of visual aids has made students less engaged and hindered their overall understanding of the material. The primary objective of this research is to enhance fourth-grade students’ understanding of healthy and nutritious food at MI Al-Barokah through the application of picture-based learning media. Planing, implementation, observation, and reflection were the two stages of Classroom Action Research (CAR) that was used in the research. The participants were 25 fourth-grade students of MI Al-Barokah. Data were gathered through observations, interviews, and achievement tests, and analyzed using both qualitative and quantitative descriptive methods. The findings revealed a marked improvement in students’ understanding after the introduction of picture media, as reflected in the increasing average learning scores across cycles, along with greater motivation, participation, and engagement in classroom activities. The integration of picture media proved effective in facilitating a clearer, more engaging, and meaningful grasp of healthy and nutritious food concepts. These results suggest that picture-based instructional media can serve as a valuable strategy to improve the quality of thematic learning in elementary education, especially in lessons concerning healthy living and balanced nutrition.
Perbandingan Mekanisme Sinkronisasi Mutex dan Semaphore pada Sistem Operasi Android Ghaniyah Latifa Putri; Rasya Mulki Putra; Harits Rahadi
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 3 No. 6 (2025): November : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v3i6.816

Abstract

The synchronization of mutex and semaphore mechanisms is an important technique in operating systems for managing concurrent resource access in multi-threaded environments. In the Android operating system, which relies on thread-based programming to maintain performance and responsiveness, these two mechanisms play a vital role in preventing race conditions and ensuring data integrity. A mutex is a locking object that ensures that only one thread can access a specific resource at a time, while a semaphore controls access to a limited number of resources by counting the number of threads that can access them simultaneously. In Android, these mechanisms are implemented using the Lock class for mutexes and the Semaphore class for semaphores, both of which can be used to control synchronization between threads in Android applications. This paper will discuss the application of these two mechanisms in the context of shared resource management, as well as a comparison of their performance and advantages in dealing with complex multi-threading scenarios on Android. Emphasis will also be placed on the challenges faced in using these two mechanisms in Android applications, as well as how proper programming can avoid deadlocks and improve application efficiency.
Penerapan Hubungan Hardware-Software pada Sistem Operasi Android dalam Pengelolaan Sensor Fingerprint Annisa Laili Tanzila; Aldi Muhammad Reski
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 3 No. 6 (2025): November : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v3i6.817

Abstract

Android continues to innovate, and biometric systems particularly fingerprint sensors must operate with high efficiency. However, the main challenge lies in the communication between hardware and software, which often causes high latency, excessive power consumption, and protocol incompatibility between components. As a result, authentication speed decreases and system stability is compromised, especially on mid- to low-range devices. This study explores various implementations of Android-based fingerprint systems, focusing on how sensor modules interact with the microcontroller or Trusted Execution Environment (TEE) and the operating system through a hardware-software co-design approach to evaluate integration efficiency across all layers. The analysis reveals that conventional protocols such as Bluetooth or serial connections still cause delays, while improvements in drivers and the Hardware Abstraction Layer (HAL) can significantly reduce latency. As a solution, the researchers propose a co-design optimization approach that utilizes data flow normalization within the HAL and adopts lightweight communication protocols to accelerate the verification process. Based on the test results, this approach successfully improves efficiency—authentication time is reduced by up to 35% and power consumption decreases by approximately 15%. Therefore, the efficiency of communication between hardware and software becomes a key factor in enhancing the performance and reliability of fingerprint systems on Android devices.
Analisa Sistem Operasi Real-Time pada Pengendalian Robot Industri: Evaluasi Performa dan Stabilitas Viona Veliza; Rangga Saputra
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 3 No. 6 (2025): November : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v3i6.818

Abstract

In the modern industrial world, robots like mechanical arms in automotive factories or packaging lines must move quickly and safely. For this, a real-time operating sistem (RTOS) is needed—think of it as a "super-fast brain" that ensures the robot reacts instantly to commands, without delays or errors. This paper analyzes popular RTOS like FreeRTOS and VxWorks for controlling industrial robots, focusing on evaluating performance (speed of operation) and stability (long-term reliability). We conducted tests in a lab using a simple robot that moves its arm to pick up objects. Performance was measured by response time (how quickly the robot stops when encountering an obstacle, ideally under 10 milliseconds) and throughput (how many tasks it can complete per second). Stability was checked through simulations of disruptions, like heavy loads or interfered sensor signals, using metrics such as error rate and time variation (jitter). Results show that FreeRTOS is more efficient for small, affordable robots, with high performance (average response time of 4 ms) but moderate stability (5-10% errors during overload). In contrast, VxWorks excels in stability (errors <2%, stable for up to 95% of tasks on time) for large factory robots, though it requires stronger hardware. Our analysis uses simple models like graphs and repeated tests, without complex formulas, to prove that the right RTOS can boost production efficiency by up to 25% and reduce accident risks.
Peran Teknologi Kultur Daging dalam Percepatan Ketahanan Pangan Global Puput Fuji Aslamiah; Raden Elfa Shafira Maulina; Yasmin Pajrin Maulani; Tri Cahyanto
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 3 No. 6 (2025): November : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v3i6.838

Abstract

Rapid global population growth has led to climate change and agricultural land degradation, posing significant challenges to the stability of global food security. The traditional livestock sector is known to absorb high levels of greenhouse gas emissions that can accelerate natural resource degradation and require innovative and sustainable approaches to meet the demand for animal protein. This study aims to analyze the contribution of cultured meat technology as an ethical and environmentally friendly alternative to improving global food security. This study uses a desk study method that addresses the technical, social, economic, and ethical aspects of cultured meat production. The analysis results indicate that the application of this technology has the potential to reduce land use and carbon emissions by up to 70% compared to conventional livestock systems, in addition to reducing animal suffering and the risk of zoonotic disease transmission. However, its application still faces several obstacles, such as high production costs, dependence on whey-based culture media, and difficulties in halal certification and public acceptance. These findings underscore the importance of synergy between scientists, governments, and religious authorities to ensure the safety, effectiveness, and equivalence of technology with ethical principles and socio-cultural values. With strong regulatory support and ongoing research, cultured meat technology has the potential to be a strategic solution for building a resilient, equitable, and environmentally responsible global food system.
Prediksi Harga Rumah dengan Regresi Linier Fathoni Dwi Atmoko
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 1 No. 2 (2023): Maret : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v1i2.854

Abstract

Property price determination is a complex challenge influenced by various factors, thus requiring an effective method for accurate prediction to support investment decision-making. In the current digital era, conventional approaches are being replaced by data-driven and artificial intelligence methods, where Linear Regression remains a popular choice due to its simplicity and effectiveness in modeling linear relationships. This study aims to analyze the relationship between the physical characteristics of a house and its selling price, and to build an accurate predictive model using the Linear Regression algorithm. A quantitative method was used, focusing on Building Area , Number of Rooms, and Building Age against the House Selling Price. Correlation analysis results show that Building Area has the strongest correlation (0.81) with price, while Building Age shows a negative correlation (-0.52). The Linear Regression model demonstrated very strong and stable performance. The model achieved an R² Score of 0.9396 on the testing data, meaning 93.96% of house price variability can be explained by the model. Furthermore, the low MAE of only 11.31 million rupiah indicates a small prediction error, and the consistency of R² scores confirms that the model does not suffer from overfitting. This study concludes that the Linear Regression model provides excellent, stable, and reliable prediction performance for projecting house selling prices
Penerapan Algoritma C4.5 untuk Prediksi Kelulusan Mahasiswa berdasarkan Data Akademik Nuari Anisa Sivi; Rudi Hartono; Putra Hanafi
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 1 No. 5 (2023): September : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v1i5.855

Abstract

Data mining is a technology that plays an important role in supporting data-driven decision making, especially in complex and dynamic higher education environments. In the context of education management, the ability to predict student graduation is an essential aspect because it can help institutions plan strategic steps, intervene earlier, and optimize academic resources. This study aims to apply the C4.5 decision tree algorithm to build a student graduation prediction model based on academic data. The research dataset includes key variables such as Grade Point Average (GPA), total Semester Credit Units (SKS) taken, and student attendance rates during lectures. The analysis was conducted using the C4.5 algorithm, which is known for its high level of interpretability, making the model results easy to understand by policy makers. The test results showed an accuracy of 84.6%, indicating that this method has the potential to support data-based academic management systems. These findings are expected to serve as a basis for educational institutions to improve the effectiveness of monitoring and evaluating the student learning process.

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