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Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Published by Universitas Samudra
ISSN : 27752089     EISSN : 27747115     DOI : https://doi.org/10.33059/j-icom.v2i1.3417
Core Subject :
Jurnal J-ICOM (Jurnal Informatika dan Teknologi Komputer) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi. Jurnal J-ICOM (Jurnal Informatika dan Teknologi Komputer) menerima artikel ilmiah dengan lingkup penelitian pada: Rekayasa Sistem Sistem Pakar Sistem Penunjang Keputusan Data Mining Kecerdasan Buatan Jaringan Komputer Teknik Komputer Pengolahan Citra Algoritma Genetik Perancangan Sistem Informasi Business Intelligence and Knowledge Management Database System Big Data Enterprise Computing Cloud Computing Technology Management Topik kajian lainnya yang relevan Dengan artikel yang memiliki sitasi primer dan tidak pernah dipublikasikan secara online atau versi cetak sebelumnya.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 107 Documents
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Sistem Informasi Geografis (Geog Implementasi Algoritma Floyd-Warshall Menentukan Rute Terpendek Pada Pencarian Lokasi Petani Beras dhiafakri, Resti
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 5 No 2 (2024): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v5i2.8772

Abstract

This research was conducted with the aim of finding out how to implement the shortest route using the Floyd-Warshall method and to analyze how much influence the implementation of the Floyd-Warshall method has on finding the closest route to the location of the farmers that the author will study is located in Ladongi District, East Kolaka Regency. The Floyd-Warshall algorithm is one of the algorithms that can be used to solve the shortest route problem and is the easiest to implement because it can find all the shortest routes between every possible pairing of positions and is part of a dynamic program which is very efficient in solving optimal route problems. The Floyd-Warshall algorithm works by comparing every possible path in the graph for each pair of nodes and checking the resulting combination of nodes. The problem with the shortest route in everyday life is finding the location of farmers who provide rice stocks. The area which is known for having a lot of rice crops is Ladongi District, East Kolaka Regency. Some things that must be prepared in the search for farmer locations are finding effective ways to reach farmer locations because it can save energy and costs and can make it easier for people to get farmer locations.
Rancang Bangun Website Daur Hidup Batik Menggunakan Metode Waterfall Dan Kerangka Kerja Laravel Aria Maulana Eka Mahendra; Galih Wasis Wicaksono; Agus Eko Minarno
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 5 No 2 (2024): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v5i2.8936

Abstract

Batik is a traditional art that holds great value in human life. Through a creative process that involves the selection and application of unique motifs on fabric, batik produces alluring works of art. The use of batik is not limited to special moments, but has also penetrated into the world of modern fashion. The lifecycle of batik reflects a rich cultural heritage, boundless creativity and strong human identity. This makes batik a beautiful embodiment of human life, uniqueness, and diversity in maintaining and honoring cultural traditions. The purpose of this research is to create a web-based information platform about the life cycle of batik and provide access to data managers. This system has been built using the PHP programming language, supported by the MySQL database, and using the Laravel framework. The method applied in the development of this research is the waterfall approach. The results of this study produced a web-based information platform about the batik life cycle. Through black-box testing using Selenium Web Driver, this system was proven to operate properly. Thus, it can be concluded that this system meets the needs and is acceptable to users.
Pengembangan Aplikasi Mobile Terintegrasi Vending Machine Untuk Menangani Permintaan Barang Pada Field Company Mareta, Prisicilia
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 5 No 2 (2024): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v5i2.9003

Abstract

Currently, the process of requesting field supplies is still hindered by complex manual administration, resulting in delays and inefficiencies. In this work, the mobile application has been successfully developed as a solution to improve stock management efficiency to meet the operational needs of field industry companies. The purpose of this application is to provide convenience to field employees in the process of requesting exchanges and ordering items such as safety shoes, safety helmets, gloves, and other items. Through the implementation of the RAD method in development, this application then has successfully integrated vending machine technology, the application, and the website, resulting in ease and speed in the item request system and convenience for field employees in taking orders for field equipment. Besides, this developed system will reduce administrative burdens related to the management of requested items by field employees. With this service, efficiency and faster service can be enhanced, as all processes are conducted through the mobile application
Analisis Perbandingan RMSE Algoritma Machine Learning dalam Memprediksi Harga Saham Malik Bayu Aji
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 5 No 2 (2024): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v5i2.8265

Abstract

The development of business technology has made people interested in following online-based businesses, one of which is stock trading. In conducting stock trading, a thorough analysis of market conditions is required to avoid losses. However, not everyone can analyze the stock market, machine learning plays an important role in helping this analysis. Researchers used a simulation method with historical data on PT. Telkom Indonesia’s shares for 2018-2022 to compare the algorithm's performance. In the experimental stage, modeling and simulation were carried out using RapidMiner Studio, with 20 different scenarios, including variations in the split ratio of training and test data. The simulation results were analyzed using the RMSE evaluation metric, which measures the difference between predicted and actual values. The experimentation results show that the Naïve Bayes algorithm has the best performance with the lowest RMSE value, which is 0.839, at a split ratio of 0.7 to 0.3. On the other hand, the Support Vector Machine algorithm showed the worst performance with the highest RMSE, which is 91.043, at the same split ratio.
Pemanfaatan Data Mining Dalam Menentukan Strategi Marketing Penerimaan Mahasiswa Baru Alam
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 5 No 2 (2024): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v5i2.8365

Abstract

This study aims to map patterns and find invisible information from new student admissions data by utilizing data mining technology. This research succeeded in mapping the pattern of prospective new students which is useful for determining the right marketing strategy according to the cluster. In order to achieve the research objectives, this research uses the K-Means Clustering algorithm and the Agglomerative Hierarchical Clustering algorithm. The data used in this study is Cipasung Tasikmalaya University's new student enrollment data from 2021 to 2023. The results of this study, the best clusters that were successfully formed were 5 clusters with the best K-Means Clustering algorithm. This research was also able to map some information based on the model formed.
SISTEM PEMANTAUAN DAN PENGENDALIAN LEVEL AIR WADUK BERBASIS IOT Divi Adiffia Freza Alana
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 5 No 2 (2024): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v5i2.8372

Abstract

Waduk merupakan tempat penampungan air yang bersifat buatan. Keradaan waduk memiliki peran penting bagi warga sekitar baik dari kebutuhan irigasi hingga pembangkit listrik. Namun apabila level air waduk melebihi daya tampung akan mengakibatkan kerusakan maupun kerugian baik banjir kekurangan pasokan air, atau bahkan kerusakan infrastruktur waduk itu sendiri. Hal tersebut dapat disebabkan oleh perubahan cuaca ataupun kelalaian pemantauan yang dilakukan oleh petugas. Tujuan dari penelitian ini adalah untuk membangun sistem prototipe pemantauan dan pengendalian level air waduk yang memungkinkan pengguna dapat melakukan pemantauan dan pengendalian level air secara otomatis dan real time. Pengembangan aplikasi menggunakan metode prototype yang didalamnya terdapat analisis dan perancangan sistem. Aplikasi mengimplementasi mikrokontroller ESP 32, Sensor Ultrasonik, Relay, Solenoid water valve dan aplikasi Blynk berbasis mobile sebagai User Interface untuk menampilkan data yang diperoleh. Hasil penelitian menunjukan bahwa aplikasi atau sistem yang dibangun efisien dan efektif dapat menampilkan data ketinggian level air dan melakukan pengendalian air secara otomatis sesuai batas kategori yang telah ditentukan sehingga permasalahan level air melebihi daya tampung waduk dapat teratasi
SWOT dan Critical Success Factor dalam Perencanaan Strategi Sistem Informasi Dodemand, Flo
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 5 No 2 (2024): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v5i2.8830

Abstract

There's a logical reason why strategic information system planning should be done. The research was conducted at the IFTK in Ledalero, Flores. This research is based on the current critical conditions of concern, namely how institutions determine business needs and choose SI applications that respond to organizational needs and support decision-making. With the change of shape from a college to an institute, the business needs of the organization are increasing, so the in-depth analysis of the needs of IS is important because it mainly supports decision-making. The findings of this research are the existing IS, some of which are in the operational key quadrant and most of them in the support quadrant. This research is quantitative. Information was obtained through questionnaires and interviews during observations. Data analysis using SWOT and CSF. SWOT provides a strategic overview of organization needs based on analysis of internal and external aspects, while the CSF scheme matrix determines the organization's business needs, the key to success in achieving organizational business requirements, IS needs and solutions offered. The results of this research are an overview of current and future business needs and recommendations for future application portfolios that respond to the business needs of the organization
Analisis Sentimen Ulasan Film Menggunakan Metode BiLSTM Muhammad Dzaki Arkaan Nasir; Syarif Hidayat
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 5 No 2 (2024): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v5i2.8871

Abstract

In the digital age, film reviews on social media platforms and review sites have become an important source of information about public opinion. However, manually processing a large number of film reviews is very difficult and time-consuming. Therefore, this research focuses on sentiment analysis of film reviews using natural language processing (NLP) techniques and BiLSTM, an extension of recurrent neural network (RNN) models. Using a data set of 50,000 film reviews from IMDB, this study ran four different scenarios to train the BiLSTM model. Results showed that Model 3, with Embedding Dimension 64 and Batch Size 32, gave the best performance with an accuracy of 0.8727 which is a good accuracy as it means that 43,635 out of 50,000 reviews were predicted correctly. The research conclusion highlights the effectiveness of BiLSTM in analyzing sentiment on movie reviews, particularly in overcoming the challenges of long text.
Rancang Bangun Sistem Administrasi Keuangan Masjid Ar-Rahman Berbasis Web ardhani, Muhammad Ridwan Ardhani; Maryam
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 5 No 2 (2024): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v5i2.8803

Abstract

Masjid Ar-Rahman currently still manages its finances manually, and it is very limited. The manual recording system is considered ineffective, and the congregation cannot have detailed knowledge about the financial reports. Therefore, an information system is needed to record and manage the funds coming in and out of the mosque in real time. The objective of this research is to design a system used for creating a mosque financial administration system based on a website. The financial administration system is designed using the waterfall method, consisting of requirements analysis, system design, implementation, testing, and maintenance. The system is developed using the Code Igniter (CI) programming language, PHP, and MySql as the database to store data inputted through the application. The author conducts testing using the black box testing method, which tests from the functionality aspect. With the existence of this system, it is expected to assist in the management of charity funds, incoming and outgoing cash, and reduce errors in financial calculations, thus enabling ease in the preparation of detailed, accurate, and periodic financial reports. Testing on this system is carried out using the black box and system usability scale (SUS) methods. The result of the black box testing is that the system runs well and as expected. The result obtained from the SUS testing on the financial administration system of Masjid Ar-Rahman is 72.1. This result indicates that the system is on an acceptable scale, and it can be said that this system is suitable for use.
Sistem Cerdas Berbasis Internet of Thing Untuk Monitoring dan Penyiraman Tanaman Menggunakan Naive Bayes Mulyadi; Simbolon, Zulfan Khairil; Hendrawati
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 6 No 1 (2025): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/j-icom.v6i1.12236

Abstract

Efficiency in agricultural management remains a major challenge in supporting sustainable food security. One critical issue faced by farmers is the limited capability to monitor plant conditions in real-time and accurately determine the optimal timing for irrigation. This study aims to develop an intelligent system based on the Internet of Things (IoT) capable of monitoring and automatically irrigating plants with the support of the Naive Bayes classification algorithm. The system was built using the ESP32 microcontroller and a set of environmental sensors, including the DHT11 (temperature and humidity), soil moisture sensor (soil water content and pH), and LDR (light intensity). Data collected by the sensors are transmitted to a monitoring server and analyzed using the Naive Bayes model to classify whether the plants require irrigation. If the classification result indicates the need for irrigation, the system will automatically activate a water pump. The system was tested over a 48-hour period with data captured every five seconds. The experimental results demonstrate that the system operates stably and accurately, achieving an average classification accuracy of 92.5%. Furthermore, water usage was optimized by up to 35% compared to manual irrigation methods. This system has reached Technology Readiness Level (TRL) 6, indicating its feasibility for controlled field testing. The results of this research are expected to support the implementation of precision agriculture in Indonesia, particularly in data-driven water management.

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