ILKOM Jurnal Ilmiah (Fakultas Ilmu Komputer, Universitas Muslim Indonesia)
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SISTEM KONTROL INFORMASI AKTIVITAS LANSIA BERBASIS INTERNET OF THINGS (IoT)
Elderly is a human phase are notabel to much do an activity because of physical factors and age. On doing daily activity the elderly should be kept by the family or nurse so in this research will be built a control system thatabel to detection of elderly activity and control an electronic device remotely using the Internet of Things (IoT). All of the elderly activity has detected based on sensor data input from the carpet, PIR sensor, DHT22 temperature sensor then processed in the Arduino Mega and Raspberry Pi. The function of Raspberry Pi is to connect all elderly information to the internet using node.js. Based on the information the family or nurse able to see the elderly activity remotely using website and able to control electronic device like a fan and heater by manually and automatically using the Internet of Things technology
APLIKASI VIRTUAL IKLAN PERUMAHAN DENGAN SISTEMAUGMENTED REALITY
Rumah merupakan kebutuhan manusia dan dapat dijadikan aset bisnis sehingga bisnis perumahan berkembang dengan pesat. Saat ini iklan perumahan biasanya melalui media cetak maupun promosi secara langsung yang kebanyakan dalam bentuk dua Dimensi (2D). Augmented Reality (AR) adalah suatu lingkungan yang memasukkan objek virtual 3D ke dalam lingkungan nyata. Dengan adanya program Augmented Reality sistem marketing perumahan dapat mempromosikan rumah dalam bentuk tiga dimensi (3D) dan membawa maket perumahan dalam bentuk 3D dimana objek rumah dapat di zoom in , zoom out, rotasi secara vertical, rotasi secara horizontal dan terdapat denah untuk tiap rumah serta informasi mengenai rumah tersebut. Melalui aplikasi Augmented Reality ini penulis berharap dapat memberi pengetahuan lebih kepada pembaca dan bisa membantu para pelaku bisnis properti pada umumnya, khususnya para sales dalam mempromosikan rumah dalam bentuk virtual 3D. Hasil penelitian ini menunjukkan bahwa penerapan teknologi Augmented Reality dapat diaplikasikan pada brosur perumahan dan dapat menarik perhatian pelanggan karena lebih mudah dalam memberikan informasi mengenai model rumah yang ditawarkan pada brosur perumahan
APLIKASI REAL-TIME MONITORING KEHADIRAN KARYAWAN TERINTEGRASI DENGAN FINGERPRINT SYSTEM PADA UNIVERSITAS DEHASEN BENGKULU
Fingerprint semakin luas digunakan di berbagai bidang sebagai perangkat untuk identifikasi kehadiran karyawan di sebuah kantor, perusahaan, sekolah, universitas dan lain sebagainya. Di Universitas Dehasen Bengkulu Fingerprint System telah diimplementasikan namun belum dapat memenuhi kebutuhan luaran yang diinginkan oleh bagian kepegawaian. Dalam penelitian ini, peneliti akan membangun aplikasi real-time monitorning kehadiran karyawan yang terintegrasi dengan fingerprint system sehingga kehadiran karyawan dapat dimonitor secara langsung. Dari penelitian ini dihasilkan sebuah aplikasi real-time monitoring kehadiran karyawan pada Universitas Dehasen Bengkulu dengan hasil pengujian bahwa secara umum aplikasi dapat berjalan baik dengan yang diharapkan, sedangkan dari hasil pengujian kecepatan sinkronisasi data dari mesin fingerprint ke aplikasi akan berjalan baik (cepat) jika data yang ada pada mesin fingerprint adalah data terbaru maksimal 1 bulan terakhir, untuk itu perlu adanya backup data yang telah lebih dari 1 bulan pada mesin fingerprint
SISTEM INFORMASI PENCARIAN LOKASI PERGURUAN TINGGI DI MAKASSAR
Universities are generally spread in various locations even though in one province (district or city). This study specializes in universities in the city of Makassar. The college location has information related to spatial and non-spatial data, such as name, address and information related to the college. The problem faced in this study is that not everyone knows about universities in the city of Makassar, especially the location of the college. The method used in this study is the Haversine Formula and Euclidean method. Results of the study using the Haversine Formula method, the measurement of the distance of the closest trajectory to college are smaller or closer than using the Euclidean method. Because the Haversine Formula method ignores the height of hills and depths of valleys on the earth's surface. The purpose of this study is to facilitate in informing the general public who need information from universities in Makassar
Klasifikasi Masyarakat Miskin Menggunakan Metode Naive Bayes
The main problem in the current poverty reduction effort is related to the fact that economic growth is not evenly distributed. The research will classify based on the data of poor people obtained from Tibawa District by using data mining technique. Attributes to be used in classifying the population are Age, Education, Work, Income, Dependent, Status (Married / Unmarried). The method to be used is the Naïve Bayes Classifier method, which is one of the classification techniques in data mining. Based on the research, it is concluded that, the classification system of the poor in the administrative area of Tibawa sub-district, Gorontalo regency can be engineered and Based on the result of confusion matrix testing with split validation technique, the use of naïve Bayes classification method to the dataset which has been taken on the research object obtained the level of accuracy 73% or included in the Good category. While the Precision value of 92% and Recall of 86%
Pengenalan Angka Tulisan Tangan Menggunakan Jaringan Syaraf Tiruan
Current technological developments spur the application of pattern recognition in various fields, such as the introduction of signature patterns, fingerprints, faces, and handwriting. Human handwriting has differences between one another and often handwriting is difficult to read or difficult to recognize and this can hamper daily activities, such as transaction activities that require handwriting. Even one of the biometric features of everyone is handwriting. One method that can be used to recognize handwriting patterns in the field of computer science is artificial neural networks (ANN) with the learning algorithm is backpropagation. Artificial neural networks are able to recognize something based on the past. This means that past data will be studied so as to be able to make decisions on new data. To recognize handwriting patterns using artificial neural networks, the characteristics of handwritten objects are extracted using an invariant moment. The results of training using artificial neural networks indicate that the correlation coefficient value is obtained on the number of hidden layer neurons by 30. The highest correlation coefficient value is 0.61382. The test results on the test data obtained an accuracy rate of 11.67% of the total test data
MONITORING KELEMBABAN TANAH PERTANIAN MENGGUNAKAN SOIL MOISTURE SENSOR FC-28 DAN ARDUINO UNO
Land as the main factor in agriculture must be considered as well as possible in order to provide the expected results. One of them is by using computer and internet technology to monitor soil moisture. Soil moisture is one of the environmental factors that affect plant growth. One of the innovations in information and communication technology in agriculture is the use of the Internet of Things. By using the Internet of Things, it can be done to monitor soil moisture that is used as a planting medium for horticultural crops. knowing the value of soil moisture will be very useful to be able to determine the steps or handling of the soil. The test results show that the measurement of soil moisture using a soil moisture sensor can work well and display information on the value of soil moisture. Based on the results and analysis, it can be concluded that the results of monitoring the soil moisture monitoring system can already be used to monitor agricultural land. So that the results of this study are expected to help farmers in making decisions based on information about the value of soil moisture that has been obtained. The final result obtained from the reading of the sensor value is wet, moist and dry according to the set value of the Analog Data. That is wet condition when getting output with lower limit range of 150 and upper limit of 339, humid condition when getting output with lower limit range 340 upper limit of 475, dry condition when getting sensor value with lower limit range is 476 and upper limit is 1023
INDOOR POSITIONING SYSTEM BERDASARKAN FINGERPRINTING RECEIVED SIGNAL STRENGTH (RSS) WIFI DENGAN ALGORITMA K-NEAREST NEIGHBOR (K-NN)
Wireless networks other than communication media can be used to find out the existence of an object. Positioning technology that is commonly used is Global Positioning System (GPS). GPS can receive location information accurately in outdoor, this situation is contradictory in indoor environment, GPS signal is interrupted by signal attenuation caused by building materials and types of physical barriers. This study aims as an alternative solution for indoor positioning using RSS (Received Signal Strength) WiFi. Fingerprinting technique is used to collect RSS data on 5 access points in 3 test locations, RSS data collected is 243 data. This study uses Euclidean Distance and K-Nearest Neighbor (K-NN) method. The accuracy of the system is tested using the 10-Fold Cross Validation method based on the results of the test shows that the system is able to determine the location with an accuracy rate of 96.71%
APLIKASI SISTEM PENDUKUNG KEPUTUSAN PENEMPATAN BIDAN DI DESA MENGGUNAKAN METODE ANALITYCAL HIERARCHY PROCESS (AHP)
Penempatan bidan desa merupakan peningkatan mutu dan pemerataan pelayanan dalam menurunkan angka kematian ibu, anak balita dan menurunkan angka kelahiran serta meningkatkan kesadaran masyarakat untuk berperilaku hidup sehat. Bidan desa mempunyai tugas dan wewenang seperti mempercepat penurunan angka kematian ibu dan anak, meningkatkan cakupan dan pemerataan jangkauan pelayanan kesehatan ibu hamil, pertolongan persalinan dan konseling. Pada penelitian ini akan dibangun media dengan pendekatan sistem pendukung keputusan, dengan menggunakan metode Analytical Hierarchy Process (AHP) dengan bantuan Tools seperti PHP sebagai bahasa pemrogramannya dan MySQL sebagai database. Alasan menggunakan metode ini dibandingkan dengan metode lain karena proses penentuan penempatan bidan desa merupakan permasalahan yang melibatkan banyak komponen atau kriteria yang dinilai (multikriteria). AHP digunakan untuk dapat meningkatkan proses serta kualitas hasil pengambilan keputusan dengan memadukan data dan pengetahuan dalam meningkatkan efektivitas dalam proses pengambilan keputusan
PERANCANGAN SISTEM INFORMASI PENJUALAN BERBASIS E-COMMERCE STUDI KASUS TOKO KUN JAKARTA
Information technology is very influential for the progress of a business. Various ways are done to promote the business owned, one of them by using ecommerce website. E-commerce is a buying and selling activity conducted online through the website or website. In KUN Toko case study case, the problem that often faced is the promotion media using only banners, the sale is still limited to offline, data storage and printing report is still in the form of records in the form of archives. The purpose of the research is to provide solutions to solve existing problems by designing an ecommerce-based sales information system. The results and conclusions of this research is ecommerce-based sales website can be used as a media campaign, simplify the process of selling done online, and can simplify the data processing and printing reports that no longer require recording in the form of archives