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Jurnal Informatika: Jurnal Pengembangan IT
Published by Politeknik Harapan Bersama Tegal
ISSN : 24775126     EISSN : 25489356     DOI : https://doi.org/10.30591
Core Subject : Science,
Computer Science & IT
The scope encompasses the Informatics Engineering, Computer Engineering and information Systems., but not limited to, the following scope: 1. Information Systems Information management e-Government E-business and e-Commerce Spatial Information Systems Geographical Information Systems IT Governance and Audits IT Service Management IT Project Management Information System Development Research Methods of Information Systems Software Quality Assurance 2. Computer Engineering Intelligent Systems Network Protocol and Management Robotic Computer Security Information Security and Privacy Information Forensics Network Security Protection Systems 3. Informatics Engineering Software Engineering Soft Computing Data Mining Information Retrieval Multimedia Technology Mobile Computing Artificial Intelligence Games Programming Computer Vision Image Processing, Embedded System Augmented/ Virtual Reality Image Processing Speech Recognition
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 15 Documents
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Search results for , issue "Vol 9, No 1 (2024)" : 15 Documents clear
Developing Fishpond Control System for School Natural Laboratory Automation Sebastian, Danny; Chandra, Dian Widiyanto; Wijono, Sutarto; Prasetyo, Sri Yulianto Joko; Trihandaru, Suryasatriya; Saputra, Laurentius Kuncoro Probo
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.5640

Abstract

Pandemi Covid-19 memaksa kegiatan belajar dilakukan secara daring. Sekolah berusaha melakukan kegiatan secara luring dengan membatasi jumlah siswa atau dengan melaksanakan kegiatan di laboratorium alam. Mengelola laboratorium alam membutuhkan banyak biaya terutama pada kondisi pasca covid-19. Internet of Things adalah teknologi yang memungkinkan kendali jarak jauh dan otomatisasi. Hal ini memungkinkan pengelolaan laboratorium alam dilakukan dari jarak jauh atau secara otomatis. Penelitian ini bertujuan untuk membuat desain dan sistem IoT yang meliputi penentuan modul dasar dan fungsinya, penentuan perangkat sensor dan aktuator yang dibutuhkan. Sistem dibangun menggunakan arsitektur MQTT. Aplikasi Android dibuat untuk mengontrol periferal IoT. Sistem yang telah berhasil dibangun diuji dengan metode blackbox testing. Berdasarkan hasil blackbox testing, aplikasi Android dan periferal IoT dapat berkomunikasi dan berfungsi dengan baik. Penelitian ini masih memiliki keterbatasan yaitu perlu dilakukannya kalibrasi perangkat IoT dan pengujian perangkat keras IoT dalam jangka waktu yang lama.
Perbandingan Hasil Nilai Baca Konsumsi Air Antara Sensor Water flow YF-B6 dan YF-S201 dalam Penggunaan Internet of Things Kurnia Bakti, Very; Rais, Rais; Basit, Abdul; Nugroho, Wildani Eko; Nishom, M.
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.6530

Abstract

The use of clean water is very necessary for human life, the existence of clean water requires adequate infrastructure, especially in the distribution and quality of the water. Water usage measurements at PDAM and Pamsimas still use analog water meters, although the reading values are relatively accurate, the entire calculation process is less efficient because it has to be done manually by humans which requires energy and time and there is the possibility of recording errors. Water flow sensors are able to provide an alternative as a projection for the future which makes it possible to build smart water meters by applying IoT. However, the level of accuracy of water flow sensor readings needs to be studied more deeply for its use considering the many types of shapes, materials and sizes of water flow sensors. This research presents a comparison of sensor reading values by changing several constant parameters in each test, which is the most precise and accurate in each measurement test. These results are up to the accumulated amount of water in milli liters, then measured to obtain the accuracy value of each sensor reading value, thus the comparison of two water flow sensors can be used as a reference for the use of which sensor is most suitable for use as a water meter for each different uses.
Teknologi Deteksi Dini Banjir Daerah Aliran Sungai menggunakan Heltec Wifi LoRa 32 V2 Amanda, Feby; Samsugi, Selamet; Styawati, Styawati; Alim, Syahirul
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.5892

Abstract

In Indonesia there are often natural disasters, one of which is flooding. Flooding is a natural disaster that is marked by the overflowing of river water irrigation channels in urban areas, one is the river Irrigation that exists at the Technokrat University of Indonesia. Therefore, the study aims to develop a flood early detection tool using LoRa (Long Range) technology to monitor potential flooding in Kalibalau, Indonesian Technocratic University, Bandar Lampung. The research method involves installing an ultrasonic sensor in the Kalibalau River and connecting it to the Heltec Wifi LoRa 32 V2 microcontroller. Test results show that the LoRa transmitter and receiver operate as planned. This tool does not require an internet connection because it uses the Heltec Wifi LoRa 32 V2. The status of the river is categorized into four: Safe, Alert 1, Alert 2, and Danger, with appropriate warnings. The test showed a delay of 5 seconds on the water height reading. At safe (water height 44 cm), the buzzer does not sound. At morning 1 (water altitude 82 cm), it sounds once with a 1 minute delay. The device has a communication capacity of up to 400 meters. Thus, the tool is effective in monitoring the Kalibalau river and giving early warning of potential floods. This research has contributed to the development of flood monitoring technology to increase public alertness and safety in flood-prone areas
Perbandingan Kinerja Algoritma K-means dan Agglomerative Clustering Untuk Segmentasi Penjualan Online Pada Customer Retail Ramadhan, Ghanim; Astuti, Yuli
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.5735

Abstract

This research focuses on the comparison between two popular algorithms in data science, namely K-means and Agglomerative Clustering algorithms. The main context of this research is customer data segmentation, a very important process in the business world to understand and serve customers better. The main objective of this research is to evaluate and compare the performance of the two algorithms in generating effective and efficient customer segments. In this research, the dataset used is a retail customer dataset. This dataset includes various attributes that reflect customer characteristics and behavior. To measure the performance of both algorithms, this research uses the RFM (Recency, Frequency, Monetary) weighting method. This method is a commonly used method in customer analysis to identify the most valuable customers based on how recently they transacted (Recency), how often they transact (Frequency), and how much their transactions are worth (Monetary). In addition, this research also uses an evaluation metric known as silhouette score. This metric is used to measure how well an object fits into its own cluster compared to other clusters. The results of this study provide valuable insights into the quality of both algorithms in segmenting customer data. It was found that the K-Means algorithm produced a silhouette score value of 0.5087, while Agglomerative Clustering produced a higher value of 0.6363. This suggests that, in the context of this dataset, Agglomerative Clustering may be more effective compared to K-Means. However, further research is certainly needed to validate these findings and to further explore how these two algorithms can be optimized for customer data segmentation
Komparasi dan Implementasi Algoritma Regresi Machine Learning untuk Prediksi Indeks Harga Saham Gabungan Waluyo, Dwi Eko; Kinasih, Hayu Wikan; Paramita, Cinantya; Pergiwati, Dewi; Nohan, Rajendra; Rafrastara, Fauzi Adi
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.6105

Abstract

Indeks Harga Saham Gabungan (IHSG) or Indonesia Composite Index (ICI) is part of the macro indicators of a country that describes the economic condition of a country. ICI is an interesting study to research since its existence will be able to show market sentiment regarding an event that occurred in a country. This research tries to predict the ICI in the future based on historical data. The dataset used in this research is publicly available in Yahoo Finance. The experiment is conducted by implementing some regression machine learning algorithms, such as Decision Tree, Random Forest, k-Nearest Neighbor (kNN), and Linear Regression. As a result, Decision Tree has the lowest MSE value compared to other methods: 1268.242. In this research, a website-based application prototype was also developed that can be used to view IHSG graphs and make future predictions, using the 4 (four) tested algorithms.
Aplikasi Pemandu Wisata Berbasis Android Untuk 10 Wisata Bali Baru Firdaus, Musnadil; Wiyono, Slamet; Af'idah, Dwi Intan; Hidayattullah, Muhammad Fikri
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.6461

Abstract

Tourism has a very significant role in the Indonesian economy. In 2016, the Indonesian government prioritized 10 tourism destinations as "10 New Bali Tourism". However, tourists often face difficulties in finding accurate and efficient information about public facilities at tourist attractions. To overcome this problem, this research aims to develop an Android-based tourist guide application. This application is designed to help tourists find facility information quickly and accurately. This research was carried out through a series of stages, including design, analysis, design, implementation, testing and application maintenance. The result of this research is the development of a tour guide application that is useful for tourists. This application makes it easy for them to find accurate information about public facilities around the tourist attractions they visit. Unit testing of this application shows that no errors were found in the application functions. Usability test results were also very positive, with 88% of tourist users stating they were willing to use this application again in the future. This shows that this tour guide application has succeeded in providing an effective solution to the problems faced by tourists in searching for information on facilities at tourist attractions. Thus, this application can be a valuable tool in enhancing the tourist experience and supporting the growth of the Indonesian tourism industry. This research has produced an Android tourist guide application to facilitate travelers in finding public facilities at the "10 New Bali Tourism" destinations. With an 88% user satisfaction rate, the main contribution involves improving the traveler experience, supporting the growth of the tourism industry, and making a positive contribution to the Indonesian economy.
Implementasi Sistem IoT Pada Akuakultur Dan Hydroponik (Akuaponik) Modern Untuk Pertumbuhan Ikan Nila Setiawan, Bagas; Styawati, Styawati; Alim, Syahirul
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.5896

Abstract

In modern times, there are many types of agricultural and fish farming systems, one of which is the modern aquaculture system which has been recognized as an innovative method of sustainable food production that combines fish cultivation with agriculture simultaneously. Modern aquaponics is able to overcome problems in urban areas which require land for growing crops and cultivating fish. Good fish cultivation means always monitoring the growth and health of fish to reduce the risk of crop failure, therefore this research aims to implement an Internet of Things (IoT) system in modern aquaponics to increase the growth of tilapia. IoT parameters consisting of pH sensors, Total Dissolved Solids (TDS) sensors, and temperature sensors are used to monitor water quality conditions in modern aquaponics. Through IoT systems, data collected in real-time enables more effective environmental monitoring. The creation of an IoT system in modern aquaponics shows that the implementation of IoT can increase the efficiency of modern aquaponic environmental management, resulting in better fish growth and plant productivity. This was verified through the pH sensor test results with a value of 7.2 indicating optimal conditions of acid-base balance in the water, which is essential for the health of tilapia fish. The TDS sensor test with a value of 300 ppm confirmed that the concentration of solid particles in the water was at an optimal level, which is also an indicator of the health of the tilapia fish. Temperature measurement using a temperature sensor with a value of 28°C, shows that the water temperature is within the ideal range for comfort for tilapia, which is usually comfortable at temperatures between 28-30°C
Implementasi Sistem Monitoring Lingkungan Pada Budidaya Tanaman Hidroponik Berbasis IoT Pratama, Ariski; Styawati, Styawati; Samsugi, Selamet; Alim, Syahirul
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.6649

Abstract

The increase in population and the reduction of agricultural land are major concerns in Indonesia. The country's population rose from 244,016,173 in 2010 to 277,534,122 in 2023, raising food needs. Population growth promotes the use of pesticides to protect agriculture;ntegration of hydroponic automation technology in households with limited land, such as for salad and sawmills, is expected to meet increasing food needs, reduce environmental impact, and improve well-being, in line with the SDGs.  however,excessive use can lead to environmental damage, water pollution, and health risks for humans. In addressing this problem, hydroponic planting media became a potential solution. Hydroponics is the cultivation of plants without soil, using a nutrient solution. This technology supports the Sustainable Development Goals (SDGs) with clean and sustainable crop growth. Integration of hydroponic automation technology for households with limited land, such as for salad and sawmills, is expected to meet increasing food needs, reduce environmental impact, and improve well-being, in line with the SDGs. Thus, hydroponics can be an effective solution in addressing the agricultural challenges facing Indonesia
Perbandingan Algoritma Sequential Search dan Binary Search Pada Website E-Tracking Pengajuan Surat Avilla, Beby; Fauziah, Fauziah; Winarsih, Winarsih
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.5383

Abstract

Disposition of a letter is an action taken in response to receiving a letter which is usually of an urgent nature or which must be carried out or followed up immediately. In an agency or organization, the flow of disposition letters usually begins with an incoming letter addressed to superiors or leaders. Based on the problems that occurred in Cilangkap Village, where after submitting letters, residents often felt confused about the disposition of the letters they submitted because there was no information regarding the disposition of computerized letters. This study aims to build a website-based letter submission information system and e-tracking letter disposition to make it easier for residents to know the disposition of their letter. This study uses the Sequential Search Algorithm and the Binary Search Algorithm to find the average time needed to search data using the microtime function and obtain the most optimal results from the two algorithms. The results showed that from a total of 507 data, 100 data searches for letter submissions obtained the average result of the Sequential Search Algorithm search time is 5.35 miliseconds and the Binary Search Algorithm is 6.16 miliseconds. So from the research results it can be seen that the Sequential Search Algorithm is more efficient and optimal in the search for letter submission data.
Algoritma Principal Component Analysis (PCA) dan Metode Bounding Box pada Pengenalan Citra Wajah Riski, Habibu; Utomo, Danang Wahyu
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.6165

Abstract

Current facial recognition system utilizes the Principal Component Algorithm (PCA) and the Bounding Box method to recognize facial locations based on brightness levels. The problem that was found in the experiment was that unclear or illuminated light factors could cause inaccuracies in facial area recognition. PCA is an algorithm capable of performing dimensional reduction to recognize the face area. The recognition process involves image pre-processing, PCA analysis to produce vectors, and application of a Bounding Box to focus on critical areas. This research contributes to the development of reliable and efficient facial recognition systems, potentially applied in security and access management. The experiment used the Grimace dataset using the .jpg format, with tests on normal brightness and -50 decreases in brightness level. At the decrease in -50, the result shows that the smallest distance value is 3540.1, and the greatest distance is 6849.4 with the average value being 5810.110. face recognition results can recognize face images with the original image

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