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SMARTICS Journal
Published by Universitas Kanjuruhan Malang
ISSN : -     EISSN : 24769754     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering
SMARTICS Journal's aims is to disseminate research on applied computer science or information technology by publishing the original articles. The scope of SMARTICS are electrical, electronics, controls, information system, and applied technology.
Arjuna Subject : -
Articles 119 Documents
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Comparison of Capture Power of Wajanbolic Antenna with Parabolic Directional Antenna to the Distance of Capture Wireless LAN Signal 2.4 GHz Yoliadi, Dodi Nofri
SMARTICS Journal Vol 8 No 2 (2022): SMARTICS Journal (Oktober 2022)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v8i2.7006

Abstract

The wokbolic antenna is used to capture the 2.4 GHz wireless LAN signal. The reflector is made of a frying pan. Focus on using a foil-lined paralon pipe. At the focus is given a USB adapter to capture the signal reflected by the reflector. To see the feasibility of a tool needs to be compared with equipment that has a standard data sheet. So a research was conducted by comparing the capture power of the wokbolic antenna with a directional parabolic antenna. The research method used is a real experimental method, namely an experimental signal strength measurement of both antennas at the same location, altitude under LOS conditions. From the results of experiments conducted at five distances: at a radius of 50 meters, 73 meters, 120 meters, 150 meters, and 290 meters. The farther the capture distance, the smaller the received signal, this happens to both antennas. After the data is obtained in the form of signal strength, then the antenna gain is calculated. The results of the antenna gain calculation show the difference between the gain of the wokbolic antenna and the directional satellite dish. To see if the difference in antenna gain is significant, it is analyzed by t-test. From the t test, it turns out that t count is greater than t table, it can be concluded that the difference in antenna gain is not significant.
Sistem Smart Class Berbasis Internet Of Things dengan Menggunakan Metode Prototype Rully Pramudita; Kevin Setyawan
SMARTICS Journal Vol 8 No 1 (2022): SMARTICS Journal (April 2022)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v8i1.7209

Abstract

The majority of student teaching and learning activities are currently carried out conventionally without a touch of high technology along with the development of existing technology. The importance of using technology in teaching and learning classrooms is because current needs are increasing with the times. Therefore, activities were carried out to build a prototype application system for turning off and turning on electronic equipment built in blynk. Android as a new alternative solution for remote control. In addition, the control system built utilizes the WiFi network for sending control instructions to Arduino and the Blynk application as a system user interface on smartphones. To be able to turn off and turn on electronic devices through the Blynk application, the user must be connected to the internet and the microcontroller must be connected to the internet network. This system using the internet network will make it easier to turn off and turn on electronic devices in class every day. This tool is also equipped with a turn off or turn on feature on a smartphone via the Blynk application. This study also uses the prototype method which has 5 stages of development, namely communication, rapid planning, modeling and planning quickly, making prototypes and testing systems. This tool is very useful for educational institutions today, because with this tool teachers or staff no longer need to turn off or turn on electronic devices manually every day.
Penerapan Data Mining untuk Klasifikasi Penyakit Demam Berdarah Dengue (DBD) dengan Metode Naïve Bayes (Studi Kasus Puskesmas Taman Krocok) Moh. Jasri; Andi Wijaya; Mochammad Rizqi Sunggara
SMARTICS Journal Vol 8 No 1 (2022): SMARTICS Journal (April 2022)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v8i1.7375

Abstract

Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the bite of Aedes aegypti and Aedes albopictu mosquitoes (Kinansih at all, 2020). This Aedes mosquito is one of the mosquitoes that is widespread in the territory of Indonesia, with the exception of areas that are at an altitude that exceeds one hundred meters above sea level.The Puskesmas Taman Krocok is located in the east of Bondwoso city, where every year during the rainy season there are many patients affected by dengue fever due to lack of counseling from the health department where the location under review is almost at the foot of the mountain, so the potential for dengue fever is very fast. .The researcher will carry out the classification process using Naïve Bayes which acts as a feature selection on the data obtained from the Taman Krocok Health Center. From the problems that have been described above, the researchers raised the title of Application of Data Mining for Classification of DHF with the Naïve Bayes Method (Case Study of Puskesmas Taman Krocok). Researchers hope that this classification process can help in handling dengue fever, especially at the Puskesmas Taman Krocok.
Clustering Calon Penerima Zakat Menggunakan Metode K-Means: (Studi Kasus di Provinsi Kalimantan Utara) Arif, Abdul; Christyanti, Ratna
SMARTICS Journal Vol 8 No 2 (2022): SMARTICS Journal (Oktober 2022)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v8i2.7531

Abstract

Zakat is issued when it is able and the wealth has reached the nishab. Zakat funds are collected from zakat givers (muzakki) and then distributed to zakat recipients (mustahik). The problem that often arises when distributing zakat is the inaccurate determination of mustahik. This happened because of an error in the distribution of aid. Therefore, the purpose of this research is to develop a GUI-assisted Matlab application to help determine the clustering of poverty in prospective mustahik residents using the K-Means algorithm. The stages of the method in this study include 1) data collection, 2) data processing, 3) data clustering using the K-Means algorithm assisted by the GUI Matlab, 4) analyzing the output into three clusters. The results of this study are cluster 1 is a cluster with a low value which is included in the affluent region, namely the Bulungan region, cluster 2 is included in the middle region, namely Tarakan, Malinau and Tana Tidung, and cluster 3 is a cluster with a high value which is included in the less fortunate region, namely Nunukan region. This means that areas in cluster 3 should be prioritized by the government in giving zakat or other government assistance programs than areas in cluster 1 and cluster 2.
Prototype of Drainage Water Level Monitoring System Using Internet of Things (IoT) Based Web Sihombing, Jaya; Jaenul, Ariep; Wilyanti, Sinka; Putri, Nadya
SMARTICS Journal Vol 8 No 2 (2022): SMARTICS Journal (Oktober 2022)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v8i2.7559

Abstract

Information on water levels needs to be conveyed quickly. So, when the rainfall is high, the supervisory team that monitor the drainage water level needs to be alert move quickly to prevent losses. In addressing these problems, the author will provide a solution in Monitoring of the water level system in the drainage water reservoir so that the operator and maintenance team can find out if there is an over discharge in the drainage water reservoir when the rainfall is very high. By utilizing ultrasonic sensors to detect changes in drainage water level. The ultrasonic sensor used has better reliability than other proximity sensors. In addition, the use of the ultrasonic sensor capability on the prototype is only on the Centimeter scale, and with the help of a buzzer as a reminder indicator (alarm) to find out the water level approaching the sensor. Float switch is also used to determine the water level, namely low, medium and high.
PENGARUH FITUR DAN ANGLE PADA EKSTRAKSI CIRI GLCM TERHADAP AKURASI UNTUK KLASIFIKASI OBJEK Aziz, As'ad Shidqy; Putra, Firnanda Al Islama Achyunda
SMARTICS Journal Vol 8 No 2 (2022): SMARTICS Journal (Oktober 2022)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v8i2.7627

Abstract

The cars that can move on their own or have the ability to drive without assistance from humans are called autonomous cars. The development of various types of driverless vehicles is currently underway. Where in the future the computer system will replace the role of humans in driving vehicles. However, the problem in autonomous cars that deserves attention is the need for high security. Early warning systems are needed in autonomous car systems to detect objects in front of them. This is necessary to avoid accidents, especially when on the highway. In this study, researchers designed a system for vision-based vehicle detection in detecting cars in front of them. The detection algorithm used has two main components, namely color feature extraction using GLCM values, and 6 parameter testing of GLCM dissimilarity, correlation, homogeneity, contrast, ASM and energy. In this study using the SVM (Support Vector Machine) algorithm for the classification algorithm. Good accuracy results are found in the ASM feature and using an angle of 450, which is 88%.
Teknik Bagging Pada Klasifikasi Agoritma C4.5 Untuk Menentukan Persetujuan Peminjaman di Koperasi Daryanto, Daryanto; Rahman, Miftahur; Wardiyanto, Dedep Vicky
SMARTICS Journal Vol 8 No 2 (2022): SMARTICS Journal (Oktober 2022)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v8i2.7682

Abstract

Cooperatives are an economic organization that is different from other economic organizations, cooperatives consist of weak groups by making mutual agreements, and cooperation of members to achieve mutual welfare and each member is able to carry out his obligations as a cooperative member organization. In this study, the bootstrap aggregating technique in 17 tests with 2-fold, 5-fold, and 10-fold divisors obtained the highest accuracy results, namely 56.92% for 2-fold, 65.38% for 5-fold, and 76. 92% at 10-fold.
Model Sistem Verifikasi Dokumen Ijazah Digital Berbasis Teknologi Blockchain Alfina, Alfina; Syafrinal, Syafrinal
SMARTICS Journal Vol 8 No 2 (2022): SMARTICS Journal (Oktober 2022)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v8i2.7718

Abstract

Blockchain is an information recording system and cannot be modified, hacked, or cheated. Along with the development of new technologies, researchers hope blockchain technology will have the same impact on the world of education, especially in universities in Indonesia. From the results of this study, there will be a model of a diploma verification system based on blockchain technology. From the problems above, it is necessary to make a prototype that can see or detect the authenticity of a document, especially for diplomas at tertiary institutions in Indonesia. Namely by implementing blockchain technology as the latest innovation for the future of the Digital Diploma Document Verification System in Indonesia and the World. Specific research objectives include; 1) Designing computer vision-based tools to determine the identification of the authenticity of diploma documents, 2) Developing prototypes and testing functional programming to determine the level of suitability with field conditions, 3) Implementing blockchain and similar technologies for diploma identification in order to accelerate diploma identification. The research flow begins by inputting the main image of the STMIK Indonesia Banda Aceh certificate. Then it is described in the Blockchain format of five chains, where each chain tests using the Peak Signal to Noise Ratio (PSNR) method, and the highest value is an identical image. This study's results indicate identical images founds using the Block Chain format and the PSNR method.
Penerapan Data Mining Metode K-Nearest Neighbor Untuk Memprediksi Kelulusan Siswa Sekolah Menengah Pertama Puspita Sari, Desti; Shofia Hilabi, Shofa; Agustia Hananto
SMARTICS Journal Vol 9 No 1 (2023): SMARTICS Journal (April 2023)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v9i1.8088

Abstract

Technology has become an important need for society that supports all activities to streamline student graduation with an average credit card, reduces problems related to predicting student graduation, the application of data mining to predict school graduation. The need for data mining stems from the amount of data that can be retrieved useful information and insights. Based on the results of calculations carried out using the orange modeling, the average grades of Class IX students vary from 80 to 90, and all students are declared PASS because their grades meet the graduation requirements set. is in SMPN 3 West Karawang. The K-Nearest Neighbor algorithm is useful for predicting a large number of graduates due to the consistent data processing of these predictions. For further research, use all student data to predict class growth towards student graduation.
PEMODELAN PREDIKSI KUANTITAS PENJUALAN MAINAN MENGGUNAKAN LightGBM Febriantoro, Erfan; Setyati, Endang; Santoso, Joan
SMARTICS Journal Vol 9 No 1 (2023): SMARTICS Journal (April 2023)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v9i1.8279

Abstract

The main characteristic of the toy industry is its rapid change and uncertainty. Demand, influenced by certain trends, can change abruptly and suddenly disappear when the next viral product takes over the market. Constant product innovation, short life cycles and high cannibalization rates have the potential to incur higher relative costs compared to other industries in terms of inventory obsolescence, lost sales and reduced prices. Based on these problems, a study was conducted to predict toy sales using the LightGBM algorithm model in a time-series form with a sales dataset of 460 toy items classified into 14 categories within a time span of 1,353 days with a prediction period of 1, 3, and 6 months. This study produced 42 models based on product category and prediction period, with the best RMSE value of 0.0042 in the KARTU toy model, and 3 models for all categories based on the prediction period with the best RMSE value of 0.0380 in the 1 month prediction period.

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