Claim Missing Document
Check
Articles

Found 22 Documents
Search

Project-Based Learning dalam Pembelajaran Proyek IoT untuk Meningkatkan Computational Thinking dan Kolaborasi Siswa: Tinjauan Literatur Sistematis Rosa, Elisa; Nursalman, Muhammad; Rasim, Rasim
JURNAL PETISI (Pendidikan Teknologi Informasi) Vol. 6 No. 2 (2025): Jurnal PETISI (Pendidikan Teknologi Informasi)
Publisher : Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/jurnalpetisi.v6i2.1990

Abstract

This study is a systematic literature review aimed at examining how the Project-Based Learning (PjBL) approach is applied in Internet of Things (IoT) project-based learning and its impact on the development of students' computational thinking (CT) and collaboration skills. Although few studies explicitly connect these three elements simultaneously, several studies indicate that Arduino-based projects, Scratch, and engineering principles within the PjBL context can support the enhancement of CT and collaboration, especially through interdisciplinary STEM-based approaches. The review findings suggest that IoT project-based learning with a PjBL framework holds strong potential to foster 21st-century skills. However, there remains a gap in developing integrated learning systems that combine PjBL, IoT, CT, and collaboration in a cohesive manner. Therefore, further empirical research is needed to design innovative learning models that are effective within the context of Informatics education in the digital era.
Development of Computer Hardware Learning Media Using Augmented Reality: A Study on Student Engagement and Understanding Ully, Rona; Nurdin, Enjang Ali; Rasim, Rasim
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 11 No. 3 (2025): September
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v11i3.17029

Abstract

This study aims to develop Augmented Reality-based learning media on computer hardware materials and investigate its impact on student understanding and engagement. The research employs the Research and Development (R&D) method with the ADDIE model. The study involved two lecturers as media experts, one informatics teacher as a material expert, and students in grades VIII-3 (control class) and VIII-4 (experimental class). Data collection techniques included interviews and questionnaires. Data analysis was conducted descriptively to assess expert validation and student involvement, as well as quantitatively through normality, homogeneity, t-test, and N-Gain calculation. The validation results showed that the media was highly feasible, with average scores of 97.5 from media experts and 62 from material experts. The N-Gain test revealed a greater increase in understanding in the experimental class (0.71) compared to the control class (0.41). Additionally, the average engagement score of students in the experimental class increased from 3.31 to 4.35, categorized as high, while the control class increased from 3.33 to 4.03, also categorized as high. The findings indicate that Augmented Reality-based learning media is feasible and effective in enhancing students' understanding and engagement with computer hardware materials.
Peran Manajemen Sekuriti Dalam Meningkatkan Pertahanan dan Keamanan Data Pribadi Akun Facebook Baszliah Nursabrina; Achmad Fauzi; Rasim, Rasim; Fajar Ramadhan; Ghaitsa Zahira Shaffa; Natasya Regita Gandawidjaya; Nailah Nurul Qalbina
Orbit: Jurnal Ilmu Multidisiplin Nusantara Vol. 1 No. 2 (2024): Orbit: Jurnal Ilmu Multidisiplin Nusantara (Desember 2024 - Februari 2025)
Publisher : Inovan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63217/orbit.v1i2.83

Abstract

Sebagai salah satu platform media sosial terbesar di dunia, Facebook menjadi sasaran utama untuk melakukan kejahatanya dengan mencuri data pribadi milik orang lain. Salah satu masalah yang ditemukan pada manajemen sekuriti pengguna media adalah ketika mereka tidak dapat menggunakan keamanan data dengan baik. Penelitian ini bertujuan untuk menemukan korelasi antara peranan manajemen sekuriti dengan pertahanan dan keamanan data pribadi Facebook. Metode penelitian yang digunakan adalah analisis kualitatif dan metode literature review dengan mengumpulkan data melalui artikel jurnal dan e-book, sebagai sumber dalam penyusunan karya ilmiah peneliti. Hasil penelitian menunjukkan bahwa manajemen sekuriti yang efektif dapat meningkatkan kemampuan operasional dan membangun kepercayaan terhadap kebijakan dan prosedur keamanan data pribadi pengguna Facebook.
How Microlearning Can Benefit Education: A Study of Factors and Trends in the Use of Microlearning Ranggana, Alfaza; Rasim, Rasim; Megasari, Rani
EDUKATIF : JURNAL ILMU PENDIDIKAN Vol 7, No 5 (2025): Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/edukatif.v7i5.8558

Abstract

Microlearning has become one of the approaches that has become increasingly in demand in the last two decades along with the increasing need for flexible and digital technology-based learning. This research aims to define the concept of microlearning and identify research trends and factors that drive its implementation. The method used is a bibliometric analysis of microlearning-themed publications obtained from the ScienceDirect database from the initial appearance of the term until 2024. The analysis was carried out based on three main aspects, namely the frequency of publications, the number of citations, and the network of co-emergence and co-authorship. The results of the study show a significant increase in the number of microlearning-related publications over the past two decades. The publications with the highest citations were mostly from the pre-COVID-19 pandemic period, while 99% of documents did not show a strong pattern of authorship collaboration. In addition, microlearning is defined through three main factors, namely mobile device use, social connectedness, and time constraints. These findings confirm that research on microlearning remains relevant and has the potential to be an important foundation for the development of digital learning strategies in the future
Sentiment Analysis of Indonesian Presidential Candidate Before and After the Election Sofyan, Muhammad Hilmy Rasyad; Zulkifli, Akmal; Rasim, Rasim
ULTIMA InfoSys Vol 15 No 2 (2024): Ultima Infosys: Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i2.3689

Abstract

As one of the world's democratic countries, Indonesia has just held a general election to choose its next president. The development of the times encourages presidential candidates to make a new breakthrough, such as the use of social media as campaign media. Currently, X is a popular social media used as a campaign medium. On X, users are given the freedom to share their opinions. Various opinions related to one of the presidential candidates were used by the researchers to collect data using the data crawling method. The results of the data crawling are first processed with different methods in the pre-process to make the data ready for use. Some of the steps that need to be taken in the pre-process are such as cleaning, normalisation, stopword, tokenisation, stemming and translation processes. All the processes carried out in the pre-process stage will produce mature or usable data. The mature data is then classified into positive, negative and neutral using the Naí¯ve Bayes classification method. Once the classification is complete, the results are evaluated in terms of sentiment towards one of the presidential candidates. The results of a total of 2117 data collected from 01 February 2024 to 20 May 2024, there are 390 data used for the pre-presidential election sentiment analysis and 1618 data used for the post-presidential election sentiment analysis. Both before and after the presidential election was held, this presidential candidate had more positive sentiments than the negative and neutral sentiments he received from the public.
Pelatihan CorelDraw Pada Santri Yayasan Yatim Piatu dan Dhuafa Al-Ikhlas Bekasi Khaerudin, Muhammad; Rasim, Rasim
Journal Of Computer Science Contributions (JUCOSCO) Vol. 2 No. 1 (2022): Januari 2022
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/n7acjz74

Abstract

The pandemic condition opens up opportunities for teenagers to do business. In this condition, it is expected that teenagers can use their time positively and productively. Mental readiness and skills need to be prepared before someone enters the world of work. Meanwhile applications in the field of information technology have a major impact in various fields of life, one of which is in the creative industries such as advertising, billboards, graphic design and digital image processing. One of the support skills for the younger generation. The method of community service carried out by a team of Bhayangkara Jakarta Raya University lecturers this time is in the form of graphic design skills training using computers and using CorelDraw and Photoshop software. This activity aims to improve the knowledge and skills of youth in improving the quality of their ability to create attractive graphic designs so that participants can compete to meet the demand for job opportunities and also towards entrepreneurship. Mareri given to participants include making and completing product designs for advertising or printing needs. The results of the graphic design skills training activity show that participants can design logos, business cards, invitations, flyers, banners, banners and other forms of advertising.
Energy Management of a Low-Cost Power Meter using ESP8266 and PZEM-016 Syafri Syamsudin, Muhammad; Septem Riza, Lala; Rasim, Rasim
International Journal of Regional Innovation Vol. 4 No. 1 (2024): International Journal of Regional Innovation
Publisher : Inovbook Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52000/ijori.v4i1.97

Abstract

The burgeoning significance of the Internet of Things (IoT) lies in its capacity to configure interconnected environments and facilitate human-object interactions through collaborative services. This study proposes an efficient energy management approach leveraging cost-effective technologies like the ESP8266 microcontroller and the PZEM-016 Modbus RTU energy monitoring module. Tailored towards wireless connectivity, this solution is purposefully crafted for diverse sectors operating within constrained budgets, obviating the need for intricate infrastructure. A systematic deployment of the forward engineering research methodology is undertaken to discern the requisites and hurdles inherent in energy management. The amalgamation of ESP8266, PZEM-016, and the MQTT protocol, with RabbitMQ serving as a message broker, forges an efficacious framework for inter-device information exchange. The solution's instantiation entails the interconnection of power meter devices using the MQTT protocol, transmitting data in JSON format. The PZEM-016 sensor constitutes the crux, adeptly measuring voltage, current, frequency, and power with precision. Furthermore, the solution encompasses a prototype Smart Meter fortified with Wi-Fi connectivity to the internet, thus extending network coverage ubiquitously. Economic scrutiny reveals that the resultant power meter device costs less than 100 USD, competitively positioning it against analogous market offerings. This economically optimized design advocates for widespread adoption across multifarious sectors constrained by budgetary limitations, assuaging the complexities inherent in energy management through a trifecta of efficiency, reliability, and affordability.
Analisis Perubahan Sentimen Publik di Media Sosial X terhadap Konflik Palestina-Israel Menggunakan Model IndoBERT Al-Kadzim, Muhammad Ghiyats; Rasim, Rasim; Herbert, Herbert
Digital Transformation Technology Vol. 4 No. 2 (2024): Periode September 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i2.5312

Abstract

Media sosial, khususnya X (sebelumnya Twitter), telah menjadi platform utama bagi masyarakat Indonesia untuk mengekspresikan pendapat mereka mengenai berbagai isu global, termasuk konflik Palestina-Israel yang kembali memanas. Tantangan yang dihadapi adalah melihat perubahan sentimen yang terjadi pada masyarakat Indonesia dan penyebab perubahan sentimen itu bisa terjadi. Meningkatnya perdebatan yang terjadi di X telah menggerakkan masyarakat Indonesia untuk terlibat dalam diskusi-diskusi mengenai konflik ini. Untuk mengatasi tantangan ini, penelitian ini mengadopsi pendekatan analisis sentimen menggunakan Natural Language Processing (NLP) dengan memanfaatkan model pre-trained IndoBERT, yang telah disesuaikan untuk memahami bahasa Indonesia.  Model IndoBERT yang telah di pre-train akan masuk ke dalam fase fine-tuning. Model ini digunakan untuk mengklasifikasikan sentimen ke dalam kategori positif, negatif, atau netral. Model ini menghasilkan nilai terbaik weighted avg pada batch size 16 dan epoch 5 dengan nilai accuracy 0.73, precision 0.73, recall 0.73, dan f1-score 0.73. Model yang telah di fine-tune digunakan untuk prediksi tweet yang belum dilabeli. Hasil prediksi divisualisasikan untuk melihat perubahan sentimen yang terjadi di setiap bulannya dan di analisis sehingga mendapatkan kesimpulan bahwa lonjakan dan fluktuasi sentimen publik terhadap konflik Palestina dan Israel sangat terkait dengan intensitas kekerasan seperti penyerangan dan banyaknya korban jiwa serta keputusan politik yang menjadi perhatian bagi masyarakat Indonesia.
Analisis Sentimen Mengenai Gangguan Bipolar Pada Twitter Menggunakan Algoritma Naïve Bayes Silaen, Oriza Sativa Dinauni; Herlawati, Herlawati; Rasim, Rasim
Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 2 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v6i2.8198

Abstract

Bipolar disorder is one of the world's most common mental health disorders. To find out public sentiment regarding bipolar disorder, sentiment analysis is carried out through social media to analyze positive or negative sentiments with the aim of maintaining positive sentiment towards the problem of bipolar disorder. Twitter is a social media that is often used to exchange information, discuss, and even express emotions. The emotions of Twitter users can be called sentiment. Sentiment analysis is also carried out to see opinions or tendencies towards an opinion. Opinion tendencies can be in the form of positive or negative sentiments. The data used in this study uses the bipolar keyword. There are 2177 tweets data that were successfully obtained in the crawling process using API key access from Twitter developers, after which the data will be processed using preprocessing. The comparison of the presentations obtained is 70.92% expressing a negative opinion and 29.08% expressing a favorable opinion. The analysis results in this study using the nave Bayes algorithm is with an accuracy value of 92.110092%.
RANCANG BANGUN SISTEM INFORMASI MONITORING DAN ANALISIS KINERJA PENJUALAN MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT ( RAD ) Rasim, Rasim; Mugiarso, Mugiarso; Handayani, Dwipa; Lubis, Hendarman
Journal of Information System, Informatics and Computing Vol 9 No 2 (2025): JISICOM (December 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i2.2078

Abstract

The sales achievement monitoring process at CV Pakar Prima Buana, which relies on Microsoft Excel, has led to issues such as data duplication and inconsistency due to the manual filtering and target distribution performed by team leaders in a company with over 500 employees. This study aims to develop a web-based information system designed to simplify, accelerate, and streamline the monitoring of each salesperson’s achievement performance. The Rapid Application Development (RAD) methodology was adopted for its fast and adaptive development cycle, consisting of three main phases: Requirements Planning, Design Workshop, and Implementation. The system was developed using PHP, the CodeIgniter framework, and a MySQL database. The black-box testing results demonstrate that all system functions operate as expected. The resulting system successfully automates the calculation and reporting of sales achievements, eliminates data duplication, and provides structured, accurate, and timely information to support managerial decision-making. Keywords: Information System, Sales Achievement, Rapid Application Development, CodeIgniter, Black-box Testing