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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 90 Documents
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Pemanfaatan Teknologi Digital Upaya Meningkatkan Literasi Digital dan Motivasi Membaca Siswa Sekolah Dasar Julistin Prilianis Dakhi; Adelia Febrianti; Risking Waruwu
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 3 (2025): Juli : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i3.584

Abstract

In today's digital era, technology plays a crucial role in supporting innovative, interactive, and engaging learning processes. Education is no longer limited to the use of conventional textbooks and whiteboards, but has been transformed through the integration of various digital media. In this context, digital literacy has become a key competency that students must possess. Digital literacy encompasses not only the ability to access and understand information from various digital sources but also involves critical thinking and collaborative skills, as well as the wise, ethical, and responsible use of technology. Studies show that the appropriate and targeted use of digital media can increase students' interest in reading materials and other learning activities. Interactive and visually appealing digital media can stimulate students' curiosity, enrich the learning experience, and increase their motivation. Furthermore, the use of digital technology also provides opportunities to develop creativity, communication skills, and problem-solving skills. Technology-based learning enables more effective learning differentiation, allowing students to learn at their own pace and learning style. This is highly relevant in the context of 21st-century education, which demands information literacy, technology literacy, and media literacy. As learning facilitators, teachers are required not only to be proficient in using technology but also to design learning that integrates curriculum content with available digital potential. Therefore, optimal use of digital technology can be a strategic solution in creating a generation that is digitally literate, creative, innovative, and able to adapt to increasingly dynamic and complex developments. To achieve this goal, collaboration between schools, the government, and parents is essential in providing adequate access to and training in sustainable educational technology.
Pengaruh Pembelajaran Berbasis Digital terhadap Efektivitas Proses Belajar di Sekolah Dasar Berkat Harapan Zega; Mona Novita Sibuea; Nazla Ritonga
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 3 (2025): Juli : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i3.585

Abstract

Background: Anxiety before childbirth is a psychological disorder often experienced by pregnant women, especially in the third trimester of pregnancy. Fear of pain, worry about the condition of the fetus, and uncertainty about the delivery process are the main triggering factors. If not handled properly, this anxiety can have serious consequences, such as increased stress hormones (cortisol), sleep disorders, high blood pressure, and even labor complications. Therefore, interventions are needed that not only focus on physical aspects, but also support mental and emotional balance. Objective: The purpose of this activity is to provide education and practical training to pregnant women on anxiety management before childbirth through the application of complementary therapies, and to evaluate the effectiveness of this approach in increasing the readiness and calmness of participants. Method: The activity was carried out at PMB Lismarini, Tulungagung, involving 20 pregnant women in their third trimester. Education was carried out interactively using visual media and group discussions. Next, participants participated in the practice of three types of complementary therapies: (1) deep breathing relaxation with diaphragmatic breathing techniques, (2) aromatherapy using lavender as a relaxation agent, and (3) classical music with a slow rhythm played during the session. Results: This activity showed positive results. Eighty-five percent of participants experienced an increase in knowledge scores after the educational session, and 60% showed a significant decrease in anxiety levels based on questionnaire results. Most participants also reported feeling calmer, more prepared, and more confident in facing childbirth. The satisfaction rate with the activity reached 90%, indicating that the methods implemented were well-received by participants. Conclusion: Complementary therapy combined with education is effective in helping pregnant women manage anxiety before childbirth. This activity emphasizes the importance of a holistic approach to antenatal care.
Penerapan Algoritma K-Means untuk Mengidentifikasi Minat Belajar Siswa di Sekolah Dasar Negeri Puu Naga Meriana Milla; Vinsensius Aprila Kore Dima; Agustina Purnami Setiawi
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 4 (2025): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i4.630

Abstract

Elementary education is the fundamental stage in shaping students’ character, attitudes, and learning motivation. Learning interest plays a vital role in determining students’ success in understanding and mastering the lessons. However, differences in background, abilities, and learning styles often cause significant variations in students’ interest. Therefore, it is necessary to apply an analytical method that can group students based on their level of learning interest so that teachers can provide appropriate learning strategies. This study aims to implement the K-Means Clustering algorithm to identify the learning interest of students at Sekolah Dasar Negeri Puu Naga. The research method used is a quantitative approach with data collected through questionnaires consisting of several indicators of learning interest, such as perseverance in completing assignments, enthusiasm during lessons, attention to teacher explanations, and participation in class activities. The collected data were then analyzed using the K-Means algorithm to form several clusters of learning interest. The data processing stages included determining the number of clusters, selecting the initial centroid, calculating the distance of data to the centroid, grouping data, and iterating until a stable clustering result was achieved. The results of the study show that the K-Means algorithm successfully grouped students into three main categories, namely high, medium, and low learning interest. Students in the high-interest group consistently demonstrated active learning behavior and strong intrinsic motivation, while those in the medium group showed fluctuating interest influenced by external factors such as the learning environment and teaching methods. Meanwhile, students in the low-interest group displayed a lack of attention and motivation, thus requiring special interventions. These findings provide valuable insights for the school, especially teachers, in designing adaptive and personalized teaching strategies. In conclusion, the application of the K-Means algorithm is proven effective as an analytical tool to identify students’ learning interest.
Implementasi Metode Electre Dalam Penentuan Platform yang Tepat dalam Rangka Mewujudkan Flipped Learning di SMK Bali Dewata Seftian Rusditya; Dewa Gede Hendra Divayana; Gede Indrawan
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 4 (2025): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i4.563

Abstract

The use of technological resources, especially the internet, has a very important role in supporting the effectiveness of the implementation of the flipped classroom model. Through internet access, students can prepare before face-to-face learning by watching learning videos, reading materials, or doing exercises independently. This allows the classroom teaching and learning process to be more interactive, where face-to-face time can be focused on discussion, problem-solving, and application of concepts. Based on survey data collected from students of SMK Dewata Bali Denpasar, it is known that optimal use of the internet helps increase students' understanding and interest in learning science subjects. However, as time went by, it was found that some of the material was still difficult for students to understand and remember. Therefore, educators need to choose the learning platform that is most effective in supporting the implementation of this model. Using the ELECTRE (Elimination and Choice Expressing Reality) method, this study assessed various platforms such as features, price, ease of use, and user survey results. The results show that Google Classroom is the most suitable and efficient platform to support reverse learning because of its ability to integrate various learning media, ease of access, and support for interaction between teachers and students.
Implementasi Sistem Pelayanan Kesehatan Berbasis Online Menggunakan Codeigniter 3 dan Metode MVC Mario Maryanto Bani
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 4 (2025): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i4.639

Abstract

Community Health Centers (Puskesmas) serve as the frontline for basic healthcare services for the community. However, the services at Waimangura Community Health Center are not yet fully optimal due to several obstacles, particularly in patient data recording, which is essential for registering every individual who visits for health check-ups, registration, and medical record management. Therefore, an information technology-based system is needed to enhance the effectiveness and efficiency of services. This research aims to implement a healthcare service system at Waimangura Community Health Center using the CodeIgniter 3 framework by applying the MVC (Model, View, Controller) method. The MVC method was chosen because it can separate application logic, display, and data management, making the system more structured, easier to develop, and maintaining consistency. The research stages include needs analysis, system design, implementation, and testing. The implementation results show that the built system is capable of assisting officers in patient registration, medical record data management, and information services. Patients also benefit from more transparent and efficient services. Based on the trial results, the system operates according to user needs and can improve the quality of healthcare services at the Waimangura Community Health Center. Thus, the implementation of CodeIgniter 3 with the MVC method has proven effective in building a structured, easily maintainable healthcare service system that can be further developed to support digital-based healthcare services.
Rancang Bangun Aplikasi Edukasi Interaktif Cerita Rakyat ‘Keong Mas’ Berbasis Augmented Reality Menggunakan Unity 3D Asa Yuaziva
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 4 (2025): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i4.643

Abstract

The purpose of this research is to create an interactive Augmented Reality (AR)-based educational application that can display the Indonesian folktale "Keong Mas" using Unity 3D and Vuforia SDK. Due to the dominance of modern digital entertainment that is more visually appealing, the younger generation's interest in traditional folktales is declining. The choice of AR technology is based on its ability to combine three-dimensional virtual objects with the real environment in real-time, resulting in an interactive, engaging, and memorable learning experience. The research process used is the Life Cycle of Multimedia Development (MDLC), which consists of six stages: ideation, design, material collection, compilation, testing, and deployment. 3D character models, background environments, and interactive stories appear in the application when the camera detects certain markers. Testing was conducted using the black-box method to ensure all functions, including marker tracking, scene transitions, and narration playback, run smoothly. The test results show that the AR application "Keong Mas" successfully displays the folktale interactively and engagingly, thereby increasing the learning interest of children and adolescents. This application not only serves as an innovative learning medium but also contributes to the preservation of local culture through the integration of digital technology.
Perancangan Sistem Informasi Penjadwalan Mengajar Guru Berbasis Web Menggunakan Metode Algoritma Greedy Bazlina Dini Amanda; Ananda Utami
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 4 (2024): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v2i4.656

Abstract

The development of information technology has encouraged various educational institutions to switch from manual systems to more efficient and integrated digital systems. One important activity in school management is the process of scheduling teachers' lessons, which often takes a long time and has the potential to cause scheduling conflicts when done manually. Common problems that often arise include conflicts between teachers' teaching hours, incompatibility of classroom availability, and difficulties in adjusting schedules to teachers' preferences. Therefore, this study aims to design and develop a web-based teacher scheduling information system by applying the Greedy algorithm method as a solution to optimize automatic schedule compilation. This system was developed using the PHP programming language and MySQL database with a Waterfall development model approach. The implementation results show that the system is capable of producing teaching schedules quickly, accurately, and with minimal time conflicts. Thus, the application of the Greedy algorithm has proven to be effective in improving efficiency, accuracy, and flexibility in managing teacher schedules in a school environment.
Rancang Bangun Smart Door Lock Berbasis Iot dan Recording Data Pada Firebase M. Adonis; Slamet Winardi
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 2 (2025): April : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i2.384

Abstract

Smart Door Lock is a development of a conventional manual home door lock or padlock. This study aims to create alternative technology at home by utilizing available lock technology. This study uses an Arduino Uno Microcontroller as the brain of the solenoid and as a power supply for the fingerprint scanner, and an esp 32 microcontroller as a tool for sending fingerprint data to firebase. The fingerprint scanner is run using the Arduino Ide to add fingerprints. Arduino programming is done using the Arduino IDE. The results of the study are described in the form of designing an automatic home door lock using a fingerprint scanner and Arduino as a solenoid control. The fingerprint data results will be visible in firebase
Expert System For Diagnosis of Hypertension Disease Using Naive Bayes Method Edhy Poerwandono; Prakoso Angga Ilyasa
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 2 (2025): April : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i2.386

Abstract

Hypertension is a disease that occurs to arteries that causes the supply of oxygen and nutrition that the body needs to be blocked. Hypertension is often called a silent killer, because it is a kind of disease that is very harmful but comes without awareness to its victim. People with hypertension in average are up to 40 years old and it happened all of his after life . In common hypertension caused by heredity, unhealthy lifestyle, and triggered by the more salty consumption, alcohol and stress. An expert system could be the solution to solve the problem because this system works just like an expert and was created by the naïve Bayes method with the rules and basic system that are the same just like the hyperantion desease. Through this application, users can consult with this system just like usually people consult with the expert to diagnose the sign that happened to the user and find the solution of what happened to themselves.
Opini Masyarakat terhadap Infrastruktur Desa Malitidari Menggunakan Metode Unsupervised Learning pada Tools Orange Maria Liana Bili; Stefanus Dwi Istiavan Mau; Lidia Lali Momo
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 4 (2025): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i4.657

Abstract

Village infrastructure development plays an important role in improving community welfare. However, public opinion regarding the condition of infrastructure is often not analyzed comprehensively and based on data. This study aims to analyze public opinions toward infrastructure in Malitidari Village using the Unsupervised Learning method with the Orange application. The data were collected from public comments on social media and digital surveys, which were then processed in text format. The analysis process includes data preprocessing, tokenization, vectorization, and the application of a clustering algorithm to group opinions into several categories without prior labeling. The Orange application was used due to its ability to visualize data analysis workflows interactively and efficiently. The results of this study show that public opinions can be grouped into several main clusters: positive opinions related to the development of roads and public facilities, and negative opinions concerning delays and unequal quality of infrastructure. Based on these findings, the Unsupervised Learning method is proven effective in illustrating public perceptions of village infrastructure conditions. The results are expected to serve as a reference for the village government in planning and improving the quality of infrastructure development in Malitidari Village  

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