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INDONESIA
Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Published by STMIK Indonesia Banda Aceh
ISSN : 27768074     EISSN : 27237079     DOI : https://doi.org/10.35870/jimik
Core Subject : Science, Education,
Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science
Jurnal Indonesia: Manajemen Informatika dan Komunikasi is a scholarly publication dedicated to advancing the fields of information technology and communication management in Indonesia. The journal serves as a platform for researchers, academicians, practitioners, and policymakers to share their insights, knowledge, and expertise in these domains. This journal is a peer-reviewed online journal dedicated to high-quality research publications focused on research, implementation. Jurnal Indonesia: Manajemen Informatika dan Komunikasi is a scholarly publication dedicated to advancing the fields of information technology and communication management in Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Jaringan Komputer dan Komunikasi
Articles 684 Documents
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Kajian Strategik Manajemen Keamanan Siber terhadap Proyek Telematika di Indonesia: Studi Kasus Kebocoran Pusat Data Nasional Ramadhani, Eka Hero; Enriko, I Ketut Agung; Sari, Erika Lety Istikhomah Puspita
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1210

Abstract

On June 20, 2024, a cyber attack occurred on PDN, which caused several government public services in the form of SPBE to not run properly. The incident has the potential to cause data leakage and disclosure of the government and the Indonesian public by hackers. Cyber incident cases on PDN need to be studied in order to gain useful knowledge for implementing cybersecurity in telematics projects in Indonesia, especially SPBE. In this scientific paper, a study of cybersecurity management strategies is conducted on telematics projects in Indonesia with a case study of PDN leaks. The exploratory study method is used to identify the causes of cyber incidents on PDN. The factors causing PDN cyber incidents are then entered into the PPT framework to determine the handling solutions. The results of the identification and mapping show that there are 3 human factors, 4 factors, and 7 technological factors. The cybersecurity management strategy for telematics projects in Indonesia proposed in this study is in the form of solutions for handling, mitigating, and anticipating cyber incidents according to the case study studied. The results of this study can be a reference for organizers of public service telematics projects so that similar incidents do not occur in the future.
Klasifikasi Sentimen Masyarakat di Twitter terhadap Puan Maharani dengan Metode Modified K-Nearest Neighbor Putra, Wahyu Eka; Fikry, Muhammad; Yusra; Yanto, Febi; Cynthia, Eka Pandu
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1211

Abstract

This study aims to address the challenges in classifying sentiment on Twitter regarding Puan Maharani by implementing the Modified K-Nearest Neighbor (MK-NN) method, supplemented with feature weighting and feature selection techniques. This method is designed to improve accuracy by assigning higher weights to important features and reducing data dimensions to avoid overfitting. Data is collected using a crawling technique on Indonesian-language tweets, which are then manually labeled and processed through a preprocessing stage. The testing results using the modified K-Nearest Neighbor (MK-NN) method with confusion matrices show the model's performance at three different values of K (3, 5, and 7) and data ratios of 90:10, 80:20, and 70:30. With a 90:10 data ratio and K=3, the method achieved the highest accuracy of 89.0%. These results indicate that the combination of MK-NN and related techniques is highly effective in sentiment classification, offering an innovative solution to the limitations of conventional methods. These findings have potential applications in public opinion analysis, particularly for supporting data-driven strategic decision-making.
Penerapan Manajemen Risiko dalam Software Quality Assurance: Studi Kasus Pengujian Black Box pada Aplikasi Inventori Maintenance Suderajat, Agung; Laki, Abraham Leo Contantinus Meze; Abimanyu, Aldo Anggito; Hadikristanto, Wahyu; Anshor , Abdul Halim
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1214

Abstract

Risk management plays a crucial role in software quality assurance (SQA) to reduce the potential for failures that impact software quality. This study aims to explore the implementation of risk management in black box testing for inventory maintenance applications, focusing on identifying and managing risks that arise within the system. The study employs risk identification, impact analysis, and risk frequency evaluation methods applied to black box testing scenarios. The black box testing results revealed no errors in the system’s features during the tests. This research identifies 18 potential risks, such as feature errors and interface function failures, which can be minimized through mitigation strategies, including user training and preventive and corrective maintenance. The findings conclude that the system design has been well-executed and operates optimally. However, preventive measures are still necessary to ensure the system continues to function effectively.
Modifikasi Arsitektur dalam Convolutional Neural Network untuk Klasifikasi Batik Lampung dan Batik Yogyakarta Octavianus, Yonathan; Avianto, Donny
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1223

Abstract

Batik is one of the unique forms of Indonesian culture. On October 2, 2009 UNESCO (United Nations Educational, Scientific, and Cultural Organization) designated batik as a Masterpiece of the Oral and Intangible Heritage of Humanity. One of the batik heritages of our ancestors is Lampung Batik and Yogyakarta Batik, where both batik have their own differences and uniqueness, so that we as Indonesian people must maintain and preserve the cultural heritage of our ancestors by creating a system that can determine both batik without using instinct or based on recommendations from others which can still cause errors. In previous studies, classification using Multikernel SVM managed to achieve an accuracy of 100%. There are also those who use CNN(Convolutional Neural Network)-Sobel with an accuracy of 91,2% in the training process and 91,8% in the validation process. The problems experienced in previous studies were the limitations of the dataset and the model testing process which was still not optimal so that it did not get satisfactory results so that in this study the Convolutional Neural Network method will be used with 6 architectures, 3 of which are unModified architectures, namely MobileNetV2, DenseNet121, and Xception. And 3 Modified architectures, namely MobileNetV2 (Modified), DenseNet121 (Modified), and Xceptipn (Modified). The selection of the three architectures is because it has a very large number of layers so that it can calculate a very large amount of data and produce the appropriate output. The best results obtained in this study were the Modified architecture, namely Xception (Modified) with an accuracy of 100%, Precision 97%, Recall 94%. F1 Score 92%, and Loss 0,0066 in the 30th epoch experiment and learning rate 0,0001 so that Xception became the best model in the Modified architecture (Modified). This research is expected to be able to provide a renewable technology system to ordinary people who do not know Lampung Batik and Yogyakarta Batik to be able to distinguish between the two specifically so as to minimize errors in analyzing or when buying the desired Batik
Implementasi Sistem Reverse Vending Machine (RVM) Berbasis IoT Menggunakan MobileNet SSD untuk Deteksi Objek dan Mekanisme Insentif Poin pada Platform Sampahmas Pamungkas, Gilang Aryo; Persada, Andhika Giri
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1224

Abstract

Efficient waste management presents a persistent challenge, particularly in the areas of waste collection and sorting. Among the contributors to environmental pollution, plastic waste stands out as one of the most significant. To address this issue, this study introduces a Reverse Vending Machine (RVM) system leveraging the Internet of Things (IoT) to automate the management of plastic bottle waste. The proposed system incorporates an incentive mechanism based on a point-reward system, wherein users earn redeemable points by depositing plastic bottles into the RVM. User authentication is facilitated through card and QR code integration, while ESP32-CAM and OpenCV technologies enable real-time bottle detection. The system's development employed the Agile methodology, which allows adaptability to evolving requirements throughout the development process. The iterative approach consisted of three primary phases core functionality development, system integration, and performance optimization. The study's outcome is the deployment of a point-based reward mechanism aimed at encouraging community involvement in plastic waste management. By providing tangible incentives, this system seeks to enhance public awareness and actively promote participation in recycling initiatives for plastic waste.
Analisis Sentimen Crawling Data dari Sosial Media X tentang Gaza Menggunakan Metode SVM dan Decision Tree Jhosefhin, Nicola Van Robert; Dewi, Christine
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1225

Abstract

The Palestinian conflict with Israel has attracted a lot of attention from the world, especially in the Gaza Strip after the Hamas group took over the leadership, so that people often make tweets (posts) with various views, some have neutral, positive, negative views. Sentiment analysis is used to analyze data obtained from posts on Twitter. The purpose of this study is to determine the public's views on the Gaza Strip by applying the Decision Tree and Support Vector Machine algorithms to measure their level of accuracy. The results of the sentiment analysis show 805 neutral data, 415 positive, and 308 negative, then the Support Vector Machine algorithm produces the highest level of accuracy with a value of 73.86 which can be categorized as good.
Aplikasi Pengolahan Bantuan Sosial Berbasis Web dan Mobile di Kapanewon Kokap Kulon Progo Nugroho, Muktiono; Wulandari, Sri
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1238

Abstract

The web and mobile-based social assistance processing application is designed to address issues in Kapanewon Kokap, Kulon Progo, which currently lacks an integrated web, mobile, and digital database application. As a result, the community must go to the Kapanewon office to apply for social assistance, which consumes time, energy, and costs due to the manual processes still in place, leading to slow service. To tackle this problem, the application is developed using the System Development Life Cycle (SDLC) prototype method, which allows for rapid development, low costs, and flexibility to user needs. The outcome of this application development facilitates the community in applying for social assistance quickly, accelerates administration, and enhances the transparency of aid distribution. With this application, the community no longer needs to visit the Kapanewon Kokap office, saving costs, time, and energy. In conclusion, this application improves the service process, provides better comfort for the community, and simplifies the online application process for social assistance, making the service more optimal and timely.
Sentimen Analisis Penggunaan Aplikasi Canva Menggunakan Support Vector Classification Oktaviani, Gracelya; Dewi, Christine
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1240

Abstract

This Canva graphic design application is very popular among many people including students, where this application is very helpful in developing graphic ideas with features that are easy to use by users to create an attractive design and make time efficient. This study discusses the classification of sentiment towards Canva applications using the Naïve Bayes and Support Vector Machine methods. In this study, the data used are user reviews taken from the Google Play Store application, then the reviews are analyzed and classified into three categories, namely, positive, negative, neutral and after that the data will be processed in several stages; data collection to research results. And the result of this study is that the Support Vector Machine (SVM) method which has the best performance with SVC parameters gets an accuracy of 77.48%, followed by Support Vector Machines (SVM) with LinearSVC parameters with an average accuracy value of 71.80%.
Perancangan Website Preloved Sari, Rani Indah; Simanjuntak, Yesy; Niska, Debi Yandra
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1250

Abstract

The emergence of the trend to purchase preloved items as a cost-effective alternative to meet needs, particularly among students and young people, is driven by a sustainable lifestyle. The aim of this study is to develop a web based application that is easy to use, secure, and cost-efficient for managing and purchasing second-hand goods. To support the application design, data collection methods were employed through observations of similar platforms and literature reviews.These features include the ability for sellers to upload items, for buyers to search and purchase goods, and a review and rating system. To ensure that transaction processes run smoothly and are well-organized, a database design was developed. This application not only provides practical solutions for users but also contributes to reducing waste from the fashion industry, supporting a modern lifestyle.
Perancangan Desain UI/UX Website E-Learning Berbasis Learning Management System dengan Metode Design Thinking Hudha, Miftakhul; Haryono, Kholid
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1252

Abstract

This research aims to develop a user interface (UI) and user experience (UX) design for a Learning Management System (LMS)-based e-learning platform for the Central Language Improvement (CLI) community at the Islamic University of Indonesia using the Design Thinking method. Following the empathize, define, ideate, prototype, and testing stages, this research involved administrators, mentors, and students in the development process. Data collection was conducted through direct observation and interviews, followed by analysis using user personas and mind mapping. Usability testing results showed good acceptance levels with Maze scores for Admin (75), Mentor (89), and Students (83), and a System Usability Scale (SUS) score of 75.2 indicating an "Acceptable" category with a "Good" rating. This research successfully produced a UI/UX design that meets user needs in supporting the learning process in the CLI UII community, with recommendations for further development on the admin interface and implementation of learning monitoring features.

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