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INDONESIA
Jurnal Informatika Global
Published by Universitas Indo Global Mandiri
ISSN : 2302500X     EISSN : 24773786     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of global informatics publish articles on architectures from various perspectives, covering both literary and fieldwork studies. The journal, serving as a forum for the study of informatics, system information, computer system, informatics management, supports focused studies of particular themes & interdisciplinary studies in relation to the subject. It has become a medium of exchange of ideas and research findings from various traditions of learning that have interacted in the scholarly manner as well become an effort to disseminate on computer research to the International community.
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Articles 264 Documents
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The LEACH Protocol to Improve Energy Efficiency of Wireless Sensor Networks in Smart Agriculture Purnama, Adi; Aulia Rahman, Atep; Fauzi, Esa
Jurnal Ilmiah Informatika Global Vol. 15 No. 1: April 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i1.3805

Abstract

Smart agriculture is the application of technology to improve efficiency, productivity, and sustainability in agricultural practices. However, smart agriculture systems face major challenges related to connectivity and energy management. To address connectivity issues, the Wireless Sensor Network (WSN) architecture is utilized, consisting of sensor nodes to collect and transmit sensor data wirelessly. Despite the implementation of WSN, there are still issues related to high power consumption in smart agriculture systems. This can lead to reduced battery life for each sensor node in the WSN architecture. Therefore, increasing energy efficiency is crucial to optimizing the performance of smart agriculture systems. This study proposes the use of the LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol in smart agriculture to manage clusters within the WSN and reduce energy consumption in each sensor node. Experimental methods were conducted by building the WSN using the nRF24L01 as the sensor data transmitter and Arduino / Node MCU as the microcontroller. The use of the LEACH protocol aims to address energy issues. Additionally, data from each sensor is collected using the Message Queuing Telemetry Transport (MQTT) protocol to facilitate monitoring of sensor data transmission and battery power information. Test results show that the integration of the LEACH protocol into the WSN can be carried out at each stage, from Discovery-State to Steady-State, to Setup-State. These steps are aimed at significantly reducing energy consumption in sensor nodes by 13% over a 12-hour testing period. Furthermore, it can extend battery life and improve the overall system efficiency.
Rancang Bangun Smart Akuarium Ikan Hias Discus Berbasis Internet Of Things Prasetyo, Bagus Alit; Agung Syukur
Jurnal Ilmiah Informatika Global Vol. 15 No. 2: Agustus 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i2.3877

Abstract

Discus ornamental fish have become a popular hobby among ornamental fish fans. However, to maintain optimal conditions for Discus fish, proper maintenance and careful monitoring are necessary. Therefore, in order to be able to keep discus fish easily, a detection system that utilizes Internet of Things-based technology is needed to ensure fish welfare and water quality. This system uses temperature, pH, Ultrasonic sensors to measure and monitor water conditions. In this research the author developed a smart aquarium for ornamental discus fish based on the Internet of Things with a data transmission mode via a wireless network or (wifi) and integrated with a mobile application platform. With real-time monitoring, it is hoped that we can monitor and maintain aquarium conditions more effectively, reduce the risk of stress in fish, and increase the chances of success in keeping Discus fish. Based on the results of the tests carried out, the system can provide feed and water changes automatically based on the time the user has set in the mobile application. Sensor reading results in the form of temperature, PH and water level values can be monitored easily on the 20x4 LCD and mobile applications in real time.
Penerapan Metode Forecasting Dalam Menentukan Prediksi Jumlah Mahasiswa Baru Dengan Menggunakan Single Exponential Smoothing Rama Samudra, M.S; Marcelina, Dona; Terttiaavini; Yulianti, Evi; Coyanda, John Roni; Putri, Indah Pratiwi
Jurnal Ilmiah Informatika Global Vol. 15 No. 2: Agustus 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i2.3916

Abstract

Forecasting adalah suatu proses analisis untuk memprediksi nilai-nilai masa depan berdasarkan informasi data historis, atau tren yang telah ada. Forecasting melibatkan metode matematika, statistik, untuk menghasilkan perkiraan tentang apa yang mungkin terjadi di masa mendatang dengan mengumpulkan data historis jumlah mahasiswa baru yang mendaftar selama 11 tahun terakhir. Data harus mencakup periode waktu yang cukup lama untuk mengidentifikasi tren dan pola, kemudian analisis data historis untuk mengidentifikasi tren, musiman, atau fluktuasi lainnya. Analisis data dilakukan dengan menggunakan teknik analisis single exponential smooting akan memperhitungkan nilai alpha (konstanta smoothing) untuk menghasilkan perkiraan yang paling akurat. Analisis data menggunakan tiga nilai konstanta alpha 0.3, 0.6, 0.9 tersebut akan dipilih nilai alpha dengan nilai error terkecil, dan kemudian akan di aplikasikan pada sistem peramalan berbasis website. Melalui sistem berbasis website, informasi dapat dikelola secara efisien dan memungkinkan Universitas Indo Global Mandiri untuk mengoptimalkan proses penerimaan mahasiswa baru mereka. Dengan menerapkan metode peramalan ini dalam sistem berbasis website, Universitas Indo Global Mandiri dapat mengelola informasi secara efisien, yang pada gilirannya akan membantu mereka mengoptimalkan proses penerimaan mahasiswa baru. Analisis data dengan tingkat error terkecil, dapat diartikan bahwa metode peramalan tersebut telah memberikan hasil yang sangat mendekati dengan data aktual, sehingga dapat diandalkan untuk melakukan proyeksi ke depan.
MITIGASI DHCP STARVATION ATTACK PADA ROUTERBOARD MIKROTIK DAN PENGARUHNYA TERHADAP PERFORMANSI Novianto, Dian; Japriadi, Yohanes Setiawan; Tommy, Lukas; Sujono
Jurnal Ilmiah Informatika Global Vol. 15 No. 2: Agustus 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i2.3930

Abstract

As people become more dependent on information technology, the need for Internet availability increases. Various types of devices are connected to the network, increasing the convenience of using information technology. However, this convenience can often be disrupted by attacks on the network infrastructure, one of which is a DHCP Starvation attack. The Dynamic Host Configuration Protocol (DHCP) is a client-server-based protocol used to automatically assign or obtain IP addresses for client computers or other network devices. Mitigating DHCP Starvation attacks is one form of protection for users. The impact of this attack is that the attacker can become one of the hosts on the network and perform a man-in-the-middle attack, so the impact of information leakage can occur. In addition, it is necessary to know the impact on router resources when a DHCP Starvation attack occurs, so that network managers can calculate how much resources are needed. The author uses a Filtering method based on Mac address es, ARP, and alerts on the Mikrotik router. In addition, the PPDIOO method is also used to develop this system, which consists of preparation, planning, design, Implementation, operation, and optimization. The test results showed that the application of this Filtering method proved to be very effective in preventing DHCP Starvation attacks, and the router board resources were not significantly affected when this Filtering method was applied.
DASHBOARD VISUALIZATION OF FOOD SECURITY IN INDONESIA: ADDRESSING CHALLENGES OF FOOD DISTRIBUTION AND ACCESS Valentina, Alessandra; Fianty, Melissa Indah; Mashur, Tsabitah Ramadhani; Laurenzia, Kezia Aprila
Jurnal Ilmiah Informatika Global Vol. 15 No. 2: Agustus 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i2.4168

Abstract

Food, a basic human need, is crucial for survival. Food shortages signal vulnerability to food security in a country. This affects the welfare of the people and the economy of a country. This research explores the challenges of food security in Indonesia, where unequal distribution creates access gaps and affects food management. It presents visualizations highlighting aspects of food security, including limited access in vulnerable areas, and emphasizes the need for government intervention to prevent food crises and stunting. The study underscores the importance of optimizing food utilization through education and community empowerment to drive economic growth. In addition, with Indonesia's high population growth, ensuring sustainable food availability is crucial. The visualization takes the National Food Agency dataset, which includes the scores of each province based on aspects of food security. The data is processed and presented using Tableau, representing various visuals such as bar charts, maps, trend lines, and several other visuals made into a dashboard. The results show that food security in each region, especially vulnerable areas, shows good progress. The visualization results can be used as a reference for the government in developing strategies to prevent food crises by considering these aspects in reducing stunting rates and encouraging the economy in Indonesia.
Algoritma K-Means untuk Mengelompokkan Tingkat Pengangguran Terbuka (TPT) menurut Provinsi di Indonesia Saputra, Agus Bima; Sanjaya, Ucta Pradema; Sa’ida, Ita Aristia
Jurnal Ilmiah Informatika Global Vol. 15 No. 2: Agustus 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i2.4359

Abstract

Unemployment is one of the main problems faced by many countries, including Indonesia. The Open Unemployment Rate (OER) is an important indicator used to measure the amount of labor force that is not absorbed in the labor market. This research aims to Cluster the provinces in Indonesia based on unemployment rate and school enrollment rate, so as to provide a clearer picture of the distribution of unemployment in different regions: The study identified three main Clusters: Cluster 1: Provinces with high unemployment rates. Cluster 2: Provinces with a medium unemployment rate. Cluster 3: Provinces with low unemployment rates. Distribution: The Clustering results show that 13 provinces are included in Cluster 1, 18 provinces in Cluster 2, and 3 provinces in Cluster 3. This study found that the K-Means algorithm is effective in Clustering provinces based on TPT and school enrollment rates. The Clustering results show significant variation between provinces, with some provinces having higher unemployment rates and lower school enrollment than others.This study successfully Clustered Indonesian provinces based on unemployment and school enrollment rates using the K-Means algorithm. The Clustering results provide valuable insights into the distribution of unemployment in Indonesia and can be used as a basis for more effective policy making.
APPLICATION OF SOFTWARE SIMULATION FOR LIGHTING ANALYSIS IN THE LAB. OF HOTEL OPERATIONS DEPARTMENT UMN Saputri, Fahmy Rinanda; Paramasatya, Johanes Dimas; Radithya, Linus Gregorius
Jurnal Ilmiah Informatika Global Vol. 15 No. 2: Agustus 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i2.4395

Abstract

In this study, an analysis of lighting in campus buildings was conducted, specifically for the in the Laboratory of Hotel Operations Department Universitas Multimedia Nusantara (UMN). The main issue identified is visual comfort for occupants in a room, which must comply with the Indonesian National Standard (SNI) 6197-2020. Ensuring proper lighting is crucial for both functionality and occupant comfort, particularly in educational settings where tasks require adequate illumination. The lighting analysis was performed through simulation using Dialux and SketchUp software. The process involved designing a detailed building model based on the room layout, including all relevant architectural and interior features. Once the model was completed, the lighting simulation was executed using Dialux. This simulation entailed determining the optimal position of furniture within the room, selecting appropriate types of luminaires, and strategically placing these luminaires to achieve the desired lighting levels. The results of the simulation indicated that the current lighting levels in the laboratory were below the standards set by the SNI. Specifically, the minimum illumination level required by SNI 6197-2020 for a room functioning as a restaurant kitchen, which is analogous to the that Laboratory, is an average of at least 250 lux. The findings highlight the need for redesigning the lighting system in the laboratory to meet the prescribed standards and ensure adequate visual comfort and functionality for its users.
Strategi MOOC untuk Meningkatkan Potensi Bakat Masyarakat dalam Pendidikan Ilmu Komputer dengan ADDIE dan Design Thinking Moch Hari Purwidiantoro; Tinuk Agustin; Abdullah, Robi Wariyanto; Mochammad Luthfi Rahmadi
Jurnal Ilmiah Informatika Global Vol. 15 No. 3: Desember 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i3.4742

Abstract

The development of digital-based education such as Massive Open Online Course (MOOC) has expanded public access to quality education without limits. However, the main challenge in developing MOOCs, especially in the field of computer science, is how to meet the diverse needs of users and create interactive learning experiences that are relevant to the world of work and easy to understand in their use for all groups. This study aims to develop a MOOC strategy that can increase the potential of community talent through the application of the ADDIE method (Analysis, Design, Development, Implementation, Evaluation) and the Design Thinking approach. ADDIE provides a systematic framework in course development, while Design Thinking ensures development focuses on user needs. The initial stage of this study highlighted the needs analysis to understand the challenges and expectations of users in computer science courses. In the design and development phase, interactive learning modules and simulations were created that were designed to increase participant engagement. The course was tested through a prototype at the implementation stage, which was then improved based on user feedback. An evaluation was conducted to assess the effectiveness of the course in improving participant skills and satisfaction, with an overall average result of 4.09, indicating that the course is feasible to be implemented widely. Course satisfaction and effectiveness were the most prominent aspects, with an average score of 4.45 and a percentage of 27%. These findings suggest that the combination of ADDIE and Design Thinking methods is effective in developing MOOCs that can improve access and quality of computer science education for the wider community, particularly through an approach that is responsive to user needs.
Hukum dan Kebijakan Keamanan Siber: Tantangan Regulasi Perangkat IoT Anwar, Yatama Zahra; Sanmorino, Ahmad
Jurnal Ilmiah Informatika Global Vol. 15 No. 3: Desember 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i3.4773

Abstract

The Internet of Things (IoT) has impacted many sectors such as industry, health, and households, with the ability to connect physical objects to the internet network. However, this development is accompanied by major challenges related to cybersecurity, including the risk of data intrusion, cyberattacks, and privacy violations. One fundamental problem is the lack of uniform security standards, which causes various manufacturers' implementation differences. In addition, many IoT devices are not designed with security as a priority, making them vulnerable to attacks. Other challenges include the lack of user awareness of the importance of data security and the limitations of cross-country regulations in monitoring and enforcing IoT security laws. This article explores the challenges in cybersecurity regulation on IoT and offers policies that support increased security. The main contribution of this article is to provide insight into the problems of IoT regulation and provide practical solutions to reduce cyber risks on IoT devices. These solutions are expected to be a guide for policymakers in formulating dynamic regulations, under the development of IoT technology.
Analisis Prediksi Harga Beras Berbasis Kualitas Menggunakan Algoritma K-Nearest Neighbord Setiadi, Dedi; Efan
Jurnal Ilmiah Informatika Global Vol. 15 No. 3: Desember 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i3.4810

Abstract

Rice is an important element in improving national food security. There are several factors that affect the price of rice, including uncertain production. This study aims to predict the price of rice in the city of Pagar Alam using the K-Nearest Neighbor (K-NN) algorithm. The data used is rice price data from 2019 to 2023 obtained from the Pagar Alam City Trade Office. The resulting classification model is evaluated for its performance using various indicators such as accuracy, precision, and recall. The research process begins with a business understanding to identify factors that affect rice prices. Furthermore, data understanding was carried out on 240 rice data samples including the attributes of year, month, production, price, and type of rice. This data is processed using the K-NN method, which involves calculating the Euclidean distance between training data and testing data and testing accuracy through split data that the K-Nearest Neighbor method is effective in predicting rice prices with an accuracy of 95%, which shows that this model has a good ability to classify rice prices accurately. This research has been successful and can help the Trade Service in making decisions regarding rice prices and be a reference for similar research in the future.

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