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Modem : Jurnal Informatika dan Sains Teknologi
Published by Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia
ISSN : 30467217     EISSN : 30467209     DOI : 10.62951
Core Subject : Science,
Computer Science & IT
Modem : Jurnal Informatika dan Sains Teknologi memuat hasil-hasil penelitian di bidang Ilmu Informatika dan Teknologi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 101 Documents
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Penerapan Aplikasi Penjadwalan Mata Pelajaran di SMPK Flos Carmeli Menggunakan Algoritma MVC Maria Anita Bili; Stefanus D.I. Mau; Diana Reby Sabawaly
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.766

Abstract

The rapid development of information technology has provided significant opportunities to improve the efficiency of academic administration in schools. One of the common problems faced by educational institutions is the manual process of subject scheduling, which is time-consuming and prone to schedule conflicts among teachers, classes, and learning time. This problem is also experienced by SMPK Flos Carmeli, where the preparation of subject schedules has not yet been supported by an integrated computerized system. This study aims to design and develop a web-based subject scheduling application at SMPK Flos Carmeli using the Model–View–Controller (MVC) architecture. The research method employed is Research and Development (R&D) with the Waterfall software development model, which includes the stages of requirements analysis, system design, and application implementation. Data were collected through interviews, observations, and literature review to obtain system requirements that align with the school’s conditions. The application was developed using native PHP with the implementation of the MVC pattern to produce a structured, maintainable, and flexible system. The results show that the developed application is able to support the subject scheduling process in a faster, more accurate, and well-organized manner. The system provides features for managing teacher data, class data, time slots, schedule arrangement, and schedule printing, thereby minimizing schedule conflicts and improving the efficiency of school administrative work. Therefore, this subject scheduling application is expected to support the digitalization of academic administration and enhance the effectiveness of the teaching and learning process at SMPK Flos Carmeli.
Pengembangan Sistem Informasi Pengelolaan Arsip Program Pembangunan Desa Kalembu Kanaika Kecamatan Wewewa Barat Nimrod Renda Dadi; Stefanus D.I. Mau; Alexander Adis
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.779

Abstract

The management of village development program archives plays a vital role in supporting effective, transparent, and accountable village governance. However, in many villages, including Kalembu KanaiKa Village in Wewewa Barat District, archive management is still conducted conventionally without the support of a structured information system. This condition creates several challenges, such as difficulties in accessing data, low administrative efficiency, and weak documentation and accountability of village development activities. Therefore, this study aims to examine the development of an information system for managing village development program archives based on local conditions and needs. The research seeks to identify the actual condition of archive management, analyze constraints faced by village officials, and formulate directions for developing an appropriate archive management information system in Kalembu KanaiKa Village. This study employed a qualitative method with a case study approach. Data were collected through in-depth interviews, observations, and document analysis involving village officials responsible for archive management and development program implementation. The results reveal that archive management has not been optimal due to limited human resources, inadequate facilities, and minimal use of information technology. Despite these limitations, village officials show readiness and willingness to adopt a simple and user-friendly archive management information system tailored to the village’s social and institutional capacity. These findings indicate that the development of archive information systems requires not only technical solutions but also attention to social, institutional, and capacity-building aspects.
Analisis Perbandingan Algoritma Penjadwalan terhadap Performa Sistem Operasi Menggunakan MATLAB Iqbal Fernando; Octoberry Julyanto; Awan Setiawan
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 2 (2024): April : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v1i3.801

Abstract

Process scheduling algorithms play an important role in determining the performance of operating systems, particularly in managing CPU utilization and process execution efficiency. Ineffective scheduling mechanisms can lead to increased waiting time and reduced system performance. This study aims to model and simulate several process scheduling algorithms using MATLAB in order to evaluate their performance characteristics. The research method involves developing simulation models for selected scheduling algorithms, including First Come First Serve, Shortest Job First, and Round Robin. Performance evaluation is conducted based on key parameters such as average waiting time, turnaround time, and processor throughput. The simulation results demonstrate that each scheduling algorithm exhibits different performance behaviors depending on the workload characteristics. Shortest Job First produces the lowest average waiting time, while Round Robin offers better response time fairness for time-sharing systems. The findings indicate that simulation-based analysis using MATLAB provides an effective approach to understanding the behavior and performance trade-offs of process scheduling algorithms. This research contributes as a reference for selecting appropriate scheduling algorithms in operating system design and as a learning model for process scheduling analysis.
Perancangan dan Implementasi Human Resource Information System (HRIS) Martono Martono
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.808

Abstract

The Human Resource Department (HRD) plays a very important role in supporting the growth and sustainability of an organization or company. Employees represent the most valuable asset owned by the company, which means that HRD can be considered the most critical component that must be managed properly. The primary function of HRD encompasses the management of all aspects related to the workforce, including ensuring that every employee fully receives their rights. To enhance work effectiveness and efficiency, HRD requires support in the form of a computer-based technology system. Therefore, it is necessary to develop an application capable of accelerating and simplifying employee data management. This study aims to improve HRD performance through the creation of a Human Resource Information System (HRIS). The application development process adopts the Waterfall method. The final outcome of this research is an application that successfully facilitates the HRD department in carrying out its various tasks more effectively.
Deteksi Rambu Lalu Lintas Indonesia Menggunakan Transfer Learning Anini Nihayah; Ghozi Murtadho; Ika Marlisa Raharjo
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.827

Abstract

This study aims to develop an Indonesian traffic sign detection system using a transfer learning approach to improve road safety and traffic efficiency. The dataset was obtained from Kaggle and consists of 2,100 images across 21 traffic sign classes. The research stages include data collection, preprocessing to reduce noise and normalize image brightness, object detection using YOLOv5, and classification based on transfer learning with ResNet, VGG-16, and MobileNet architectures. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. Experimental results indicate that the YOLOv5 model is capable of detecting traffic sign objects; however, the classification performance remains relatively low, with a mean Average Precision (mAP) value of 0.17. These findings suggest that further optimization is required in data preprocessing, dataset quality, and model parameter tuning to achieve better performance. This study demonstrates that transfer learning has significant potential for developing computer vision-based traffic sign detection systems, although further improvements are necessary to ensure robustness under real-world Indonesian traffic conditions.
Analisis Performa Kecepatan Algoritma Dual Modulus RSA dalam Pengamanan Data Teks dengan Python
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 2 (2026): April: Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i2.842

Abstract

This study analyzes the performance of the Dual Modulus RSA algorithm in securing text data using Python. The rapid growth of digital technology has increased the risk of data security threats, making efficient and secure encryption essential. Dual Modulus RSA is a modification of the classic RSA algorithm that uses two different moduli in the encryption and decryption process, thus increasing security levels because attackers must factorize two moduli simultaneously. This research uses an experimental quantitative approach by measuring the execution time of encryption and decryption processes with variations in plaintext length (5, 10, and 15 characters). Implementation was carried out using Python 3 with the time.perf_counter() function for microsecond-precision measurement. The results show that the Dual Modulus RSA algorithm successfully encrypts and decrypts all test plaintexts correctly. Encryption time ranged from 0.0212 ms to 0.0823 ms, while decryption time ranged from 0.0422 ms to 0.0955 ms. There is a positive linear relationship between plaintext length and processing time. Decryption is consistently slower than encryption due to the larger private key exponent (d1=2753, d2=3533) compared to the public exponent (e=17). The main factors affecting performance are exponent size, dual modulus overhead, CPU caching effects, and Python interpretation overhead. This study recommends using Dual Modulus RSA with hybrid encryption for practical implementation to balance security and performance.
Implementasi Sistem Informasi Pengelolaan Surat Jalan dan Invoice Menggunakan Framework CodeIgniter
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 2 (2026): April: Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i2.845

Abstract

The development of information technology has become a primary pillar in enhancing corporate operational efficiency, where rapid and accurate data integration significantly determines business competitiveness. Case study in PT Gawi Anjung Bersama (GAB) revealed that the company is facing operational constraints because the management of delivery orders and invoices still relies on conventional office applications such as Microsoft Excel and Word. This procedure causes hurdles in data sharing among staff and results in low information security due to the absence of integrated access control settings. This research aims to design and develop the Gawi Anjung Bersama Information System (SIGAB), a web-based system implementing the CodeIgniter framework. The system is developed using Waterfall model, encompassing stages from analysis, design, and implementation to testing. The research flow starts with problem identification, primary and secondary data collection, and functional and non-functional requirements analysis. The system is designed using Unified Modeling Language (UML) modeling, specifically Use Case and Class Diagrams, as well as Entity Relationship Diagrams (ERD) for the database. The system interface is designed as wireframes on Figma web. This system separates access rights into three main actors namely owner, administrator, and staff, to ensure data security. Blackbox testing results, conducted after the system was hosted, indicate that all functional features operate as intended. The implementation of SIGAB is expected to optimize the management of delivery orders and invoices at PT GAB.
Rancang Bangun Game Edukasi ”Assemble & Learn” Berbasis Android sebagai Media Interaktif pada Materi Perakitan Komputer untuk Siswa SMK M. Ismail; Dedy Irfan; Agariadne Dwinggo Samala; Mahesi Agni Zaus
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 2 (2026): April: Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i2.848

Abstract

The limited use of interactive learning media has made it difficult for students to visualize the functions and assembly flow of computer components. This study aims to design and develop an Android-based educational game called “Assemble & Learn” as an interactive medium for computer assembly lessons, specifically for vocational high school students at SMK Negeri 1 Tanjung Jabung Barat. The development process follows the Multimedia Development Life Cycle (MDLC), which includes the stages of concept, design, material collection, assembly, testing, and distribution. The learning content covers several core competencies: KD 3.2/4.2 on computer assembly, KD 3.3/4.3 on assembly testing, KD 3.4/4.4 on BIOS configuration, and KD 3.5/4.5 on operating system installation, with a focus on KD 3.2 and KD 3.5. Research instruments consist of validation questionnaires for subject-matter experts, media experts, and student trials using the System Usability Scale (SUS). Validation results show that the educational game received an average score of 94% from media experts and 100% from subject-matter experts, both categorized as “Highly Feasible.” Meanwhile, student trials indicated strong acceptance, with an average SUS score of 85% (excellent usability). In conclusion, the “Assemble & Learn” educational game offers an innovative solution to boost learning motivation, simplify material visualization, and provide flexible practice opportunities, thereby supporting the achievement of computer assembly competencies in an optimal and effective way.
Sistem Rekomendasi Musik Spotify Berbasis Pendekatan Hybrid Alternating Least Square Dan Content-Based Filtering Andy Hermawan; Akbar Kanugraha; Indira Faisa Afgani; Khaerun Nisa’Tri Safaati; Mutiara Ayu Alzahra Ramadhani
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 2 (2026): April: Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i2.869

Abstract

The exponential growth of digital music catalogs on streaming platforms such as Spotify has made personalized recommendation systems crucial for enhancing user experience. This study develops a hybrid music recommendation system that addresses both warm-user and cold-user scenarios by combining Alternating Least Squares (ALS) collaborative filtering with content-based filtering (CBF) augmented by a popularity component. The dataset consists of 8,549,544 user-track interactions and a master file of 1,204,025 tracks with ten audio features. After preprocessing, users were segmented into 14,880 warm users and 723 cold users based on a five-interaction threshold. The ALS model was trained on the user-item implicit feedback matrix and tuned through grid search over factors, alpha, and regularization. CBF was implemented using cosine similarity on normalized audio features, while popularity scores were applied for new users with insufficient history. Evaluation used Precision@10, Recall@10, and NDCG@10. The final ALS configuration achieved NDCG@10 of 0.1116, representing a 30% improvement over baseline, while the hybrid CBF improved NDCG@10 for cold users from 0.0070 to 0.0201. Findings indicate that adaptive routing among ALS, CBF, and popularity reliably handles different user states, providing a practical foundation for production-grade music recommendation systems.
Analisis dan Evaluasi Kredit Macet Anggota Koperasi pada Koperasi Simpan Pinjam Cu Mera Ndi Ate
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.771

Abstract

Savings and Loan Cooperatives (KSP) play a vital role in expanding community access to capital, especially within the informal sector. Nevertheless, non-performing loans remain a persistent challenge that can threaten liquidity and long-term institutional sustainability. KSP CU Mera Ndi Ate faces similar issues, which are assumed to stem not only from administrative weaknesses but also from members’ perceptions and behavioral factors. This research aims to examine the potential causes of non-performing loans through text-based sentiment analysis using an unsupervised learning approach. A quantitative method with a data mining framework was applied. Data were gathered through interviews, observations, documentation, and 200 customer opinion texts processed using the Orange Data Mining application. The analytical stages included preprocessing, corpus development, feature extraction, sentiment clustering, and visualization. Because the dataset lacked predefined labels, unsupervised learning was used to identify naturally emerging sentiment patterns. Findings reveal a predominance of critical sentiments related to credit assessment procedures and service quality. The highest sentiment score (75) concerned insufficient creditworthiness evaluation, followed by concerns about service efficiency (66.6667). These insights suggest that improving assessment accuracy and service quality may help reduce non-performing loans.

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