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Jurnal Teknologi Informasi dan Komunikasi
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Subang
ISSN : 22524517     EISSN : 27237249     DOI : https://doi.org/10.47561/a.v13i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Jurnal Teknologi Informasi dan Komunikasi menerbitkan kajian ilmiah hasil penelitian dan pemikiran di bidang ilmu dan teknologi komputer yang didistribusikan sebagai sumber referensi bagi para akademisi di bidang Ilmu dan Teknologi Komputer. Jurnal Teknologi Informasi dan Komunikasi menerima artikel ilmiah dengan cakupan penelitian: 1. Internet of Things 2. Machine Learning 3. Data Mining 4. Big Data 5. Sistem Pengambilan Keputusan 6. Sistem Artificial Intelligence 7. Jaringan Komputer 8. Sistem Informasi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 148 Documents
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Hermawan, Rian MACHINE LEARNING MONITORING HAMA TANAMAN BIBIT ANGGREK BERBASIS IOT MENGGUNAKAN METODE KNN PADA PLATFROM BLYNK Rian Hermawan; Triani Yuliastari
Jurnal Teknologi Informasi dan Komunikasi Vol 15 No 1 (2022): April
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v15i1.222

Abstract

Anggrek merupakan salah satu tanaman hias yang populer di Indonesia. Tanaman anggrek merpati (Dendrobium crumenatum) merupakan anggrek yang cukup populer karena bentuk bunganya yang seperti burung merpati sedang terbang. Tanaman ini banyak direkomendasikan untuk pemula yang ingin memulai merawat anggrek karena tanaman ini termasuk tanaman yang tidak rewel dalam proses perawatannya. Anggrek merpati memiliki habitat hidup yang luas, mulai dari Indonesia, Singapura, Thailand, hingga ke Filipina dan Papua, sehingga mudah ditemui bahkan pada cabang-cabang pohon pinggir jalan sekalipun. Anggrek ini juga dapat bertahan hidup hampir di mana pun, baik itu daerah dataran tinggi maupun dataran rendah. Meski tergolong tidak rewel, tidak berarti anggrek merpati bebas dari ancaman hama. Hama adalah hewan-hewan kecil perusak seperti serangga, tungau, ulat, keong dan sebagainya. Hewan ini merusak tanaman dengan menghisap cairan atau memakan bagian dari tanaman, yang mengakibatkan kualitas atau nilai jual dari keindahan tanaman anggrek menjadi turun Dari masalah tersebut, dibuatlah sistem ini untuk memudahkan pembudidaya anggrek dalam hal merawat tanaman anggrek. Alat ini menggunakan NodeMCU, Wemos, sensor Pir, sensor kelembaban tanah (soil moisture), dan sensor Ldr. Hasil yang diperoleh dari penelitian ini adalah untuk mendeteksi hama yang bisa dikontrol melalui internet dengan jarak jauh, yang memudahkan untuk mengecek hama walaupun sedang tidak dirumah.
Transformasi Digital Dalam Praktik Keagamaan: Penerapan Augmented Reality Berbasis Filter Facebook Melalui Meta Spark Studio Dalam “Menggali Kehidupan Nabi Melalui Filter Facebook” Muhammad Firasy Sajidan Arifin; Nabila Nur Athiyah; Azmi Aldi Syahrial; Arba Adhy Pamungkas; Zamzam H. K. Mugraha
Jurnal Teknologi Informasi dan Komunikasi Vol 15 No 1 (2022): April
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v15i1.225

Abstract

In recent years, technological advances have penetrated various aspects of society, including religious practices. Augmented reality is a form of technology that combines the virtual world and the real world, and augmented reality is known as part of a virtual environment or virtual reality (VR) technology[1] . Augmented Reality (AR) is a technology that has great potential to enhance the religious experience and facilitate a deeper understanding of the Islamic religion. Creativity in designing works is developed using augmented reality to become an interactive design tool [2]. This research studies the application of Facebook filter-based augmented reality (AR) through Meta Spark Studio in religious practices, especially in studying the questions asked to the Prophet. Use of these filters allows users to view and interact with digital reconstructions of the questions, providing context and better understanding.
MACHINE LEARNING DETEKSI PROTOKOL KESEHATAN MEMASUKI RUANGAN BERBASIS INTERNET OF THINGS MENGGUNAKAN ALGORITMA K-MEANS Usep Tatang Suryadi; Juliansyah Juliansyah; Aa Zezen Zaenal Abidin; Yuli Murdianingsih; Muhammad Faizal
Jurnal Teknologi Informasi dan Komunikasi Vol 15 No 2 (2022): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v15i2.228

Abstract

In the end of 2019, it was a bad year for the whole world, especially for the world of health, because of a malignant disease that attacks the human respiratory system which causes sore throat and dry cough. The disease is called Corona or we often hear about COVID-19. (Coronavirus Disease 2019). For preventive measures, everyone must implement health protocols including wearing a mask, keeping a safe distance, washing hands, and body temperature must be in the range of 36 to 37.02 degrees Celsius above 37.02 degrees Celsius, it is said to have a fever, fever indicates a problem in the body man. Checking human body temperature is currently still carried out conventionally involving two individuals, an officer and someone who will be checked for temperature, the distance between the officer and the person who will be checked for temperature is around 60 cm, this has violated the rules for keeping a distance where social distancing is ranging from 1 to 2 meters between individuals, departing from this problem the authors are interested in making a tool, namely Machine Learning Detection of ProKes Entering Rooms Based on Internet of Things Using the K-Means Algorithm on the Google Firebase Platform. The methodology used by the author includes literature study, documentation, data mining, system analysis, system design, system development, system testing, machine learning. went well as expected. This tool is able to properly detect masks and human body temperature in a non-contact manner. The data obtained by the tool can be analyzed using the K-means algorithm, showing that the K-means algorithm can work well, the results obtained in the 3rd iteration with the same ratio value as the previous iteration, namely 0.083743.
IMPLEMENTASI METODE C4.5 PADA BUDAYA TANAMAN BUNGA ASOKA BERBASIS INTERNET OF THINGS PADA PLATFORM THINGSPEAK Rian Hermawan; Novan Hernawan
Jurnal Teknologi Informasi dan Komunikasi Vol 15 No 2 (2022): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v15i2.230

Abstract

Sistem penyiraman otomatis merupakan suatu sistem yang dapat membantu seseorang dalam merawat dan menyiram tanaman secara otomatis serta dapat memonitoring pertumbuhannya. Terdapat beberapa faktor yang dapat mempengaruhi pertumbuhan suatu tanaman yaitu, kelembapan udara, kelembapan tanah dan suhu, yang dapat mempengaruhi pertumbuhan pada tanaman. Tujuan dari penelitian ini adalah untuk memonitoring suatu pertumbuhan tanaman dilihat dari suhu, Kelembapan udara serta Kelembapan tanahnya. Data yang dihitung menggunakan mikrokontroler dengan Sensor DHT22 untuk membaca parameter suhu dan parameter Kelembapan udara serta sensor Soil Moisture yang dapat membaca parameter dari Kelembapan tanah dengan berbasis Internet of Things. Kemudian data diolah menggunakan perangkaian metode C4.5 untuk mengetahui baik tidaknya pertumbuhan tanaman yang diuji. Dari tiga parameter yaitu Kelembapan udara, Kelembapan tanah, serta suhu dibagi menjadi 75% untuk data training dan 25% untuk data testing sehingga hasil yang didapat subur tidaknya suatu tanaman yang diuji. Penelitian ini juga diharapkan dapat menjadi referensi bagi peneliti selanjutnya yang berkaitan dengan materi atau pengguna algoritma yang digunakan.
PROTOTYPE OTOMATIS SISTEM MONITORING PEMELIHARAAN TOKEK GURUN BERBASIS IoT PADA PLATFORM THINGSPEAK MENGGUNAKAN ALGORITMA C4.5 Anderias Eko Wijaya; Roby Muhromi
Jurnal Teknologi Informasi dan Komunikasi Vol 15 No 2 (2022): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v15i2.234

Abstract

The Leopard Gecko is a reptilian species that thrives in desert regions with a humidity level of around 60%. Native to Pakistan, this exotic reptile captivates many reptile enthusiasts due to its unique skin color and pattern, aligning with its name. However, there are challenges in the care of Leopard Geckos, particularly among novice reptile enthusiasts who may lack comprehensive knowledge of proper care. This lack of knowledge can lead to issues such as tail dropping and illness, sometimes resulting in fatalities. To ensure the well-being of Leopard Geckos in captivity, it is crucial to create an environment that mimics their natural habitat, preventing severe issues such as tail loss, damaged skin, or even death. To address these concerns, an Internet of Things (IoT)-based System for Monitoring the Care of Leopard Geckos is developed, employing the C4.5 algorithm and the Thingspeak platform. The hardware used includes Arduino Uno, DHT11 sensor, LDR sensor, Ultrasonic sensor, Servo Motor, and ESP8266 Wifi Module. The research findings indicate that if the temperature exceeds 32°C and humidity drops below 60%, the lamp turns off, and the mist maker activates. Conversely, if the temperature falls below 32°C and humidity surpasses 60%, the lamp turns on, and the mist maker deactivates.
SISTEM INFORMASI PELAYANAN PENDAFTARAN PASIEN RAWAT INAP DI PUSKESMAS MENGGUNAKAN PEMOGRAMAN PHP Haris Nizhomul Haq; Akrom Muhajir; Dicky Iskandar Sobari
Jurnal Teknologi Informasi dan Komunikasi Vol 15 No 2 (2022): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v15i2.236

Abstract

This research discusses the development of an Inpatient Patient Registration Service Information System at Community Health Centers (Puskesmas) using PHP programming, as well as implementing DFD (Data Flow Diagram) and ERD (Entity Relationship Diagram) models. The system is designed to enhance efficiency and accuracy in the inpatient patient registration process, covering patient information management, bed availability scheduling, and coordination among medical staff. The DFD model diagram is utilized to illustrate the data flow within the system, while the ERD is employed to detail the relationships between entities in the database. The implementation of this system employs PHP programming to ensure code reliability and readability. The research results indicate that the system can expedite the patient registration process, improve information management, and optimize the utilization of inpatient beds. This study is expected to make a positive contribution to improving healthcare services at Community Health Centers and provide a foundation for the development of similar systems in a broader healthcare service environment. Consequently, the research findings are anticipated to offer significant benefits in enhancing the efficiency and effectiveness of inpatient patient registration services.
SISTEM ANALISIS PENYAKIT MATA BERBASIS PHP DAN MYSQL MENGGUNAKAN METODE TF-IDF Dicky Iskandar Sobari
Jurnal Teknologi Informasi dan Komunikasi Vol 15 No 2 (2022): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v15i2.237

Abstract

The development of information technology has had a positive impact on the healthcare sector, particularly in disease analysis. Eye diseases are among the health issues that require early detection for effective prevention and treatment. In this context, this research proposes the development of a PHP and MySQL-based Eye Disease Analysis System utilizing the Term Frequency-Inverse Document Frequency (TF-IDF) method. The system is designed to provide a web platform facilitating the analysis of textual data related to eye diseases. Involving PHP as the programming language and MySQL as the database, the system allows efficient storage, management, and retrieval of medical information. The TF-IDF method is employed to analyze unique characteristics within textual data, enabling the identification of symptoms, diagnosis, and treatment of eye diseases. Context Diagram, Data Flow Diagram (DFD), and Entity-Relationship Diagram (ERD) serve as visual guides in designing this system. The Context Diagram provides a general overview of the system's interaction with its external environment, while DFD illustrates the flow of data within the system. ERD is used to represent the data structure within the database. The research results are expected to significantly contribute to the efficiency of eye disease analysis, providing faster information to medical professionals and enhancing the general public's understanding of eye diseases. This system is anticipated to serve as a foundation for further developments in the application of information technology in the healthcare sector, particularly in disease analysis.
IMPLEMENTASI KONSEP ROUTING PADA SISTEM PENGELOLAAN DATA OBAT DI PUSKESMAS Permana, Eka; Ningsih, Riska
Jurnal Teknologi Informasi dan Komunikasi Vol 16 No 1 (2023): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v16i1.238

Abstract

This research aims to implement the routing concept in the drug data management system at Community Health Centers (Puskesmas) to enhance efficiency and accuracy in drug distribution. As primary healthcare service centers, Puskesmas require a system that can optimize the drug data management process to provide better healthcare services to the community. The research methodology involves analyzing system requirements, designing a suitable routing concept, and implementing it into the drug data management system at Puskesmas. The routing concept considers various factors such as distance, time, and drug availability to determine the optimal route for drug distribution to different units or rooms within the Puskesmas. The expected outcomes of this research include a positive contribution to the efficiency of drug distribution at Puskesmas, reducing drug handling time, and minimizing the possibility of errors in drug stock management. The implementation of the routing concept in this system is anticipated to provide an effective and efficient solution to drug management at Puskesmas, ultimately improving the quality of healthcare services for the community.
SISTEM MONITORING KUMBUNG JAMUR TIRAM OTOMATIS BERBASIS IoT (Internet of Things) MENGGUNAKAN METODE K-NEAREST NEIGHBOUR Wijaya, Anderias Eko; Sobari, Dicky Iskandar; Munandar, Haris
Jurnal Teknologi Informasi dan Komunikasi Vol 16 No 1 (2023): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v16i1.239

Abstract

In response to the growing market demand for oyster mushrooms, effective monitoring of the growth environment becomes crucial. This research aims to develop an automated Internet of Things (IoT)-based monitoring system for oyster mushroom cultivation, utilizing Wemos D1 R1 hardware, DHT22 temperature and humidity sensor, LM35 temperature sensor, and the K-Nearest Neighbour (KNN) method for data analysis. The IoT platform employed in this study is Antares. The system is designed to monitor real-time temperature and humidity within the mushroom cultivation chamber. The DHT22 sensor is employed for simultaneous measurement of air temperature and humidity, while the LM35 sensor gauges the soil temperature in the mushroom growth substrate. Data collected by these sensors are automatically transmitted to the Antares platform through Wemos D1 R1 via WiFi connectivity. The K-Nearest Neighbour (KNN) method is applied to analyze the accumulated temperature and humidity data. KNN provides the capability to identify patterns and trends in oyster mushroom growth based on environmental conditions. The results of this analysis offer valuable insights for oyster mushroom farmers to optimize growth conditions and enhance harvest yields. Through the implementation of this system, it is anticipated that efficiency and productivity in oyster mushroom cultivation will be improved. This IoT-based automated monitoring system provides an effective and practical solution for real-time monitoring of oyster mushroom growth conditions, offering farmers the opportunity to take prompt and informed actions to enhance their harvest yields.
IMPLEMENTASI SISTEM PENGENDALI WASTAFEL CUCI TANGAN BERBASIS IoT MENGGUNAKAN PLATFORM BLNYK Udoyono, Kodar; Rizky, Muhammad Alif
Jurnal Teknologi Informasi dan Komunikasi Vol 16 No 1 (2023): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v16i1.240

Abstract

The enhancement of cleanliness and sanitation has become a paramount concern in modern society, particularly in the face of a global pandemic. In this context, this research proposes and implements an Internet of Things (IoT)-based handwashing sink control system using the BLNYK platform, ESP8266 module, infrared proximity sensor E-18-DNK, solenoid valve DC 12V, and LM259 stepdown. The system is designed to provide an efficient and hygienic handwashing experience. The ESP8266 module serves as the central brain connected to the BLNYK platform, enabling users to remotely access and control the sink via mobile devices or computers. The infrared proximity sensor E-18-DNK detects the presence of user hands, triggering the solenoid valve DC 12V to automatically dispense water. Additionally, the LM259 stepdown is utilized to regulate voltage and optimize power consumption, making the system energy-efficient. Sink usage data and usage statistics can be accessed through the BLNYK platform, facilitating efficient monitoring and analysis. Test results demonstrate the system's reliability in accurately detecting hands and providing a swift response in opening the solenoid valve. Furthermore, the implementation of the LM259 stepdown successfully optimizes the power consumption of the system, making it an energy-efficient solution. Thus, this system can serve as a model for further development in creating IoT-based intelligent solutions to enhance cleanliness and sanitation in various environments, including households, public spaces, and healthcare facilities.

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