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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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SISTEM INFORMASI TUNJANGAN PENDAPATAN KEPEGAWAI DI KANTOR KECAMATAN MENGGUNAKAN FRAMEWORK CODEIGNITER Selviani, Rima; Haq, Haris Nizhomul; Sobari, Dicky Iskandar
Jurnal Teknologi Informasi dan Komunikasi Vol 17 No 1 (2024): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v17i1.256

Abstract

In the current era of technological advancements, the demand for information has significantly risen across various facets of life. The Employee Income Allowance Information System (TPP) implemented at the Subang Sub-District Office encompasses comprehensive data, including employee profiles, attendance records, TPP reports, and employee assessments. This system facilitates employees in efficiently accessing and reviewing attendance and TPP report data. The implementation is carried out using CodeIgniter, PHP, and MySQL technologies.
SISTEM CERDAS PENGURAS AIR AKUARIUM SECARA OTOMATIS BERBASIS INTERNET oF THINGS (IoT) MENGGUNAKAN ALGORITMA C4.5 pada PLATFORM BLYNK Nurhakim, Muhamad Wilvan; Wijaya, Anderias Eko; Hermawan, Rian
Jurnal Teknologi Informasi dan Komunikasi Vol 17 No 1 (2024): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v17i1.258

Abstract

In general, fishkeeping has been a widely cherished activity among communities since ancient times, owing to its ease of maintenance and care, which encourages many individuals to engage in it. However, due to busy schedules or unforeseen circumstances, checking the water conditions in aquariums often poses a challenge. Therefore, there is a need for a tool capable of automatically controlling and draining aquarium water based on IoT technology using the C4.5 algorithm on the Blynk platform. This system can drain water if the aquarium water becomes cloudy, raise the temperature if it drops below optimal levels, and limit water filling. The ESP8266 and ESP32-S modules are utilized to receive, process, and transmit data to the aquarium owner via Wi-Fi. Relays serve as electrical power distributors for supporting components such as water pumps, water heaters, and solenoid valves. Testing results indicate that the water condition control component effectively operates in line with the system's functions and objectives. The existence of this tool can assist fishkeepers in maintaining real-time aquarium water quality, detecting water pollution, and monitoring the health of fish within the aquarium.
IMPLEMENTASI SISTEM PRESENSI BERBASIS IOT (INTERNET OF THINGS) MENGGUNAKAN PLATFORM BLYNK DI SMK CENDIKIA RANCAKALONG Jupriyanto, Jupriyanto; Maulana, Lutfi; Udoyono, Kodar; Permana, Eka
Jurnal Teknologi Informasi dan Komunikasi Vol 17 No 1 (2024): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v17i1.259

Abstract

An IoT (Internet of Things) based attendance system using the Blynk Platform with NodeMCU and ESP32-CAM is a teacher attendance management and monitoring system. This system combines Radio Frequency Identification (RFID) technology for time and attendance detection, NodeMCU and ESP32-CAM microcontroller hardware for data processing, and a MySQL database for storage and management of time and attendance data. Using an RFID card, teachers can easily record attendance via a reader connected to the NodeMCU, and the ESP32-CAM provides the ability to capture facial images as an additional verification step. Attendance data is stored in a MySQL database in a structured manner, enabling efficient data management and accurate attendance reporting.
PERANCANGAN SISTEM MONITORING JARAK JAUH PINTU PINTAR RUMAH INDEKOS BERBASIS IOT (INTERNET OF THINGS) MENGGUNAKAN PLATFORM BLYNK Leander, Daud Elia; Ashidiqie, Muhammad Fikry; Udoyono, Kodar
Jurnal Teknologi Informasi dan Komunikasi Vol 17 No 2 (2024): October
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v17i2.265

Abstract

Security systems are crucial for ensuring the safety of residents, particularly in boarding houses, which tend to be more vulnerable to criminal activities. In this study, a door security system based on the IoT (Internet of Things) was developed using the Blynk platform. The system is designed to allow boarding house owners and residents to monitor door access via a smartphone, enhancing security more effectively and efficiently. The system utilizes a NodeMCU microcontroller as the control center, which is connected to a door sensor, and provides real-time notifications through the Blynk application. Additionally, activity log features and remote control capabilities are integrated into the system. Testing was conducted through simulation scenarios to evaluate the system's response to various security conditions. The results showed that the system operates effectively and provides real-time notifications to users. This system is expected to serve as an alternative solution for improving boarding house security that is easy to implement and use.
PENGEMBANGAN SISTEM IOT UNTUK PEMANTAUAN KESEHATAN DOMBA DENGAN ALGORITMA C4.5 BERBASIS THINGSPEAK Nugraha, Fahmi; Wijaya, Anderias Eko; Hermawan, Rian; Sobari, Dicky Iskandar
Jurnal Teknologi Informasi dan Komunikasi Vol 17 No 2 (2024): October
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v17i2.266

Abstract

Effective livestock health monitoring is one of the primary challenges in modern farming, especially in detecting early health disorders in sheep. This research aims to develop a sheep health monitoring system based on the Internet of Things (IoT) using the C4.5 algorithm and the ThingSpeak platform. The system collects vital sheep data such as body temperature, heart rate, sound, and physical activity in real time through sensors and microphones connected to IoT devices. The data is then transmitted to the ThingSpeak platform for analysis and storage. The C4.5 algorithm is used to build a decision model capable of classifying the health conditions of sheep based on collected parameters such as temperature, heart rate, and respiration. The processed data results are displayed in the form of graphs and warning notifications on the ThingSpeak platform, allowing farmers to monitor livestock health easily and responsively. The accuracy test yielded a 90% accuracy rate using a confusion matrix with a data sampling split of 80% for training data and 20% for testing data. This indicates that the system has a high level of accuracy in detecting sheep health conditions. Consequently, the system has the potential to assist farmers in improving the efficiency of livestock health monitoring automatically and in real time. Moreover, the application of IoT technology and the C4.5 algorithm in the livestock sector is expected to provide innovative solutions to support productivity and animal welfare.
DAMPAK PENERAPAN DIGITALISASI ARSIP DI DESA CIBOGO KEC.CIBOGO, KAB.SUBANG TERHADAP KEGIATAN PELAYANAN MASYARAKAT Saepudin, Asep; Rusilpan, Ilpan; Jupriyanto; Carkiman
Jurnal Teknologi Informasi dan Komunikasi Vol 17 No 2 (2024): October
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v17i2.270

Abstract

The ever-increasing development of digitalization has made village governments begin to apply it in the process of providing services to the community and in the process helps facilitate the work carried out by employees, thereby making the service process fast and easy. Digital archives are used to simplify the process of searching for archives that have been created and reduce physical archives that require space for storage. By using observation and interview research methods as well as system development methods using waterfall, the results obtained from this research are that the digital archive system can run well and can be used by users. If a digital archive system is compared with conventional archives, the result is that digital archives can improve service quality, making it easier for employees to manage archives. Digital archives can reduce paper use by 50 percent, thereby reducing environmental impacts caused by paper use, such as cutting down trees and pollution from the use of chemicals
SISTEM KONTROL LAMPU TERAS RUMAH BERBASIS IoT (Internet of Things) MENGGUNAKAN METODE NAÏVE BAYES PADA PLATFORM NODE-RED Aulia, Regita Faza; Murdianingsih, Yuli; Faizal, Muhammad; Suryadi, Usep Tatang; Abidin, Aa Zezen Zaenal
Jurnal Teknologi Informasi dan Komunikasi Vol 17 No 2 (2024): October
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v17i2.271

Abstract

Salah satu energi yang banyak digunakan sehari-hari adalah energi untuk penerangan. Setiap rumah pasti memiliki sumber penerangan, salah satu sumber penerangan yang ada di rumah adalah lampu. Saat penghuni rumah berpergian seringkali lampu teras rumah dibiarkan menyala. Untuk mengatasi hal tersebut maka diperlukan sebuah pengendali pada lampu teras rumah agar lebih efisien lampu mati saat matahari terbit, menyala saat cuaca mendung dan saat malam hari agar mencegah tindak kriminalitas saat penghuni rumah sedang berpergian. Dengan dibuatnya sistem kontrol lampu teras rumah berbasis Internet of Things menggunakan metode Naïve Bayes pada platform Node-RED, pemilik rumah dapat mengontrol lampu teras rumahnya dari jauh. Sistem ini memanfaatkan NodeMCU untuk menyambungkan data ke platform menggunakan jaringan internet, sensor LDR yang berfungsi mendeteksi intensitas cahaya sekitar, sensor DHT11 untuk mendeteksi suhu dan kelembaban disekitar, modul relay untuk menyambungkan lampu dengan perangkat lainnya, dan platform Node-RED yang akan mengontrol lampu teras rumah.
Implementasi Sistem Informasi Penjualan Berbasis Aplikasi Desktop Studi Kasus PT. Sinar Baru Berkah Mandiri Sutisna, Rizki Entis; Saepudin, Asep
Jurnal Teknologi Informasi dan Komunikasi Vol 18 No 1 (2025): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v18i1.280

Abstract

Implementasi sistem informasi di perusahaan saat ini merupakan kebutuhan yang sangat penting. Seringkali data yang dihasilkan oleh sistem informasi dilibatkan dalam pengambilan kebijakan dan keputusan manajemen perusahaan. Sistem informasi dapat menerapkan digitalisasi dalam proses bisnis perusahaan. Sistem informasi pejualan dapat menyimpan data – data terkait dengan transaksi penjualan yang meliputi informasi yang berkaitan dengan item barang, kuantitas barang yang dibeli, harga barang, dan total pembayaran yang harus dibayarkan konsumen. Data yang dihasilkan dari proses transaksi pada sistem penjualan dapat menghasilkan laporan penjualan yang dibutuhkan oleh manajemen sebagai acuan dalam pengambilan keputusan perusahaan. Data – data transaksi yang tersimpan dapat diolah menjadi informasi – informasi yang dapat disajikan dengan cepat agar manajemen dapat melakukan tindakan yang cepat dan akurat untuk keberlangsungan perusahaan.
Studi Literatur Pemanfaatan Artificial Intelligence untuk Prediksi Bencana Banjir Zahra, Denada Fatimah; Carkiman, Carkiman
Jurnal Teknologi Informasi dan Komunikasi Vol 18 No 1 (2025): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v18i1.281

Abstract

Floods are disasters that cause losses in the form of material and human casualties if not controlled. The Bekasi flood in 2025 was a flood event that was proven to paralyze economic activities and inundate crucial economic zones and settlements in the Bekasi area. Basically, floods can be categorized as fluvial, pluvial, rob, and flash. There are various factors that cause floods that cause diversity in types and levels of flood destruction. Therefore, previous studies have attempted to predict floods from a physical perspective, but still experience various obstacles, so this study aims to explain the use of artificial intelligence for flood disaster prediction. The research method used is a literature study in order to represent the use of artificial intelligence in various areas and techniques. The data used is in the form of scientific literature consisting of journals and scientific proceedings. The results of the study show that most of the AI used is based on machine learning algorithms, such as random forest, logistic regression, support vector machine, and KNN. Random forest and logistic regression have proven to have the highest performance and accuracy when compared to other algorithms. However, it needs to be combined with data augmentation techniques and consider time when used for real-time prediction needs.
Machine Learning Penyortiran Buah Naga Menggunakan Algoritma K-Means Berbasis Internet of Things Menggunakan Platform Blynks Ramadan, Wanda; Abidin, Aa Zezen Zenal; Suryadi, Usep Tatang; Murdianingsih, Yuli; Faizal, Muhammad; Suhendri, Suhendri; Carkiman, Carkiman
Jurnal Teknologi Informasi dan Komunikasi Vol 18 No 1 (2025): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v18i1.285

Abstract

Salah satu tahapan dalam proses pengelolaan hasil pertanian dan perkebunan ialah dengan melakukan pembagian terstruktur mengenai produk untuk menentukan kualitas hasil panen. Penyortiran dilakukan dengan melihat kualitas rona kulit, berat buah serta mengetahui jumlah satu kali panen. Kualitas buah naga ditentukan oleh berbagai parameter, antara lain umur dan kematangan (indeks warna), ukuran, dan berat buah. Sebagai salah satu komoditas yang disukai banyak orang, buah naga memerlukan proses sortasi (seleksi), karena pasar membutuhkan kondisi keseragaman buah naga. Seleksi biasanya dilakukan menurut prinsip pemisahan, seperti: bobot yang berbeda, bentuk yang berbeda, sifat permukaan yang berbeda, berat jenis yang berbeda, tekstur warna yang berbeda dan kematangan yang berbeda. Dalam proses penyortiran manual, manusia memiliki kelemahan dalam melakukan tugas sensorik dengan kapasitas besar dan jam kerja yang Panjang. Berangkat dari permasalahan tersebut penulis tertarik untuk membuat alat yaitu Machine Learning Penyortiran Buah Naga Berbasis Internet of Things Menggunakan Algoritma K- Means Pada Platform Blynk. Metodologi yang digunakan penulis diantaranya Studi pustaka, dokumentasi, data mining, analisa sistem, perancangan sistem, pembuatan sistem, pengujian sistem. Machine Learning Penyortiran Buah Naga Berbasis Internet of Things Menggunakan Algoritma K- Means Pada Platform Blynk yang penulis kerjakan dapat berhasil terealisasikan menggunakan sensor Load Cell untuk menghitung berat dan sensor TCS230 untuk menentukan warna. Serta sensor TCS3200 dapat mendeteksi warna dengan baik. Data yang didapat oleh alat dapat diklasterisasi menggunakan Algoritmaa K-Means dengan benar sebanyak 7 iterasi dengan nilai BCV=2096,84, WCV=442563,35, Rasio=211.

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