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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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Implementasi Metode Extreme Programming Pada Aplikasi Pengelolaan Sewa Mobil Berbasis Web Moh. Fauzan; Noor Al Azzam, Mohammad
SMARTICS Journal Vol 9 No 2 (2023): SMARTICS Journal (Oktober 2023)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v9i2.8890

Abstract

To design and develop a web-based car rental management application for the case study of Zalfa Rent Car writer uses the Extreme Programming (XP) method. The main objective of this research is to increase the efficiency and effectiveness of the car rental management process within the company. The first step in this research is to analyze the needs at Zalfa Rent Car related to car rental management. Next, application development begins using the XP cycle. After development is complete, final testing is carried out to verify that the application has met the needs and requirements that have been needed. The test results will be evaluated to identify deficiencies and make the necessary improvements. It is hoped that the results of this research will produce a web-based car rental management application that is efficient, reliable, and in accordance with the needs of Zalfa Rent Car. This research also contributes to an understanding of the application of the Extreme Programming method in developing web-based software for the car rental industry. Keywords: Car Rental Management Application, Web Based, Extreme Programming
Pemanfaatan Metode Multiclass Support Vector Machine dalam Klasifikasi Penyakit Daun Kacang Tanah Fakhrunnia, Brahma Ratih Rahayu; Aziz, As'ad Shidqy; Sesoca, Jendra
SMARTICS Journal Vol 9 No 2 (2023): SMARTICS Journal (Oktober 2023)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v9i2.9077

Abstract

Peanuts are one type of agricultural crop from commodity crops that can provide additional income opportunities for farmers in Indonesia. In addition, the benefits of peanuts are as a source of protein and vegetable fat for human body, so they are also much needed by the food industry. However, in increasing soil productivity there is a decrease in quality and quantity caused by one of the factors, namely plant diseases. Efforts that can be made in maintaining peanut productivity are to prevent early by applying early detection technology. This study presents the application of digital image processing application-based technology using the Multiclass SVM One-Against-One (OAO) strategy to classify the types of leaf disease of peanut plants based on texture feature extraction on the diseased parts of peanut leaves using the Gray Level Co-Occurrence Matrix (GLCM) method. In the classification process using the M-SVM method the OAO strategy will use three kernels, namely polynomial kernel, linear kernel and RBF kernels. Based on the experimental results, the best accuracy is obtained, namely by using GLCM texture feature extraction with a distance of d = 1 and angle 90 degree of and classified using the M-SVM method, the OAO strategy with polynomial kernels provides the highest accuracy results, namely 96.39% for leaf spot class, 92.79% for leaf rust class, 96.39% for eye spot class and 100% for normal class
Sistem Keamanan Data Privacy Pada Jaringan Sensor Nirkabel Menggunakan Teknik Routing: Sistem Keamanan Data Privacy Yanti, Yeni; Hidayat, Taufik
SMARTICS Journal Vol 10 No 1 (2024): SMARTICS Journal (April 2024)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v10i1.9186

Abstract

Wireless Sensor Networks (WSN) have attracted the attention of researchers in recent years. WSN , is increasingly using it in various fields. Even though the use of WSNs is becoming more widespread, they are often vulnerable to security attacks. Therefore, it is important to have a strong security system that can provide users with a sense of security and comfort in sending data via WSN. Sending data via WSN also carries significant security risks, especially when the data sent is related to the sender's location. Therefore, this research aims to analyze the scalability of the security system in sending data via WSN using the LSP routing technique. The main focus of this research is protecting data source location information in the context of WSN using LSP Routing techniques. In the tests carried out in this research, a sinkhole attack was used which aims to detect nodes. The research results show that the data transmission rate from the node to the CH increases by 50%, 75%, and 90% in each cycle when the security system is implemented. However, only around 25% and 50% of node attacks in the data transmission process are successfully detected by the sinkhole. The impact of such attacks is felt on the nodes operating in the network, with approximately 95% of nodes eventually going down at the end of the cycle when no security systems are in place. However, when a security system is implemented, only about 60% of nodes fail to send data to their destination.
Klasifikasi Nilai Pengurus Teladan Pondok Pesantren Nurul Jadid Menggunakan Metode K-Nearest Neighbor (KNN) Jasri, Moh.; Ghozali, Achmad Fais; Sukron
SMARTICS Journal Vol 10 No 1 (2024): SMARTICS Journal (April 2024)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v10i1.9913

Abstract

In determining exemplary administrators, there are several assessment criteria that have been designed by looking at all the tasks and programs carried out. This is done to encourage administrators to be more enthusiastic in their service at Islamic boarding schools. Apart from that, this program is also an evaluation for management who need to follow up on their negligence in all duties and responsibilities. From the research carried out, there is a problem, namely in determining exemplary administrators, currently at the Nurul Jadid Islamic Boarding School it is only based on observations of regional heads and regional heads, and does not pay attention to assessment criteria and indicators in the form of professionalism, personality and social issues. Therefore, a decision support system implemented in web form is very necessary to solve the problems that occur. The programming language used is PHP (Hypertext Preprocessor) using the CodeIgniter framework. The hope is that the resulting website can help regional and regional heads make the right decisions for exemplary organizers. K-Nearest Neighbor (KNN) is the method used for classification in this research. The KNN algorithm uses the k value to determine the number of nearest neighbors whose status will be calculated. The data used is 348 lines of management assessment data for 2021-2023. Optimizing the k value using k-fold cross validation produces the highest level of accuracy, namely 97.70% with a value of k = 4 and training data of 75% of the total previous assessment data.
Software Requirement Specification Sistem Informasi MBKM berdasarkan Hasil Survey terhadap Sivitas Akademik Susilowati, Meme; Kurniawan, Yudhi; Prasetiya, Hendro Poerbo; Setiawan, Rudy
SMARTICS Journal Vol 10 No 2 (2024): SMARTICS Journal (Oktober 2024)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v10i2.6864

Abstract

The MBKM (Merdeka Belajar Kampus Merdeka) policy is motivated to prepare students to know social, cultural, world of work and technological advances that have been so rapid. Competence of students must be prepared to answer the needs of the times. Link and match activities are one of the strategies used, not only with the business world and the industrial world, but also with a future that is changing so rapidly. Information Systems Study Program has implemented several programs contained in the guidelines for the implementation of the Independent Learning Campus, although on a limited scale, namely the cross-study student exchange program and the Internship program. It is necessary to make adjustments to the programs that have been implemented in Study Program to adjust the curriculum of the study program and to survey the academic community. This survey needs to be carried out to find out how far the responses, responses and knowledge of the academic community towards MBKM activities. From the results of the survey, the Study Program followed up by designing an information system for the development and strengthening of the results of the academic community for MBKM activities in the form of a Software Requirement Specification. With this Information System Design, it is hoped that it will provide convenience for the development of the Integrated MBKM information system so that it can provide convenience for the academic community in carrying out MBKM activities within the Study Program environment and also to support MBKM governance and management.
Penerapan Data Mining pada Algoritma Multiple Linear Regression dalam Peramalan Harga Emas Dina, Intan Rachma; Barata, Mula Agung; Yuwita, Pelangi Eka
SMARTICS Journal Vol 11 No 1 (2025): SMARTICS Journal (April 2025)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v11i1.11710

Abstract

Gold, a precious metal, is highly favored for its ease of maintenance and low risk of loss, making it a popular investment choice. However, gold prices are subject to fluctuations influenced by factors such as the dollar exchange rate, market demand and supply, and monetary crises. Understanding these fluctuations is crucial for investors to minimize losses and maximize profits. The dataset, sourced from Investing.Com, spans from January 2019 to December 2024 and includes 1548 records with five attributes. The error rate was evaluated using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). This study aims to forecast gold prices using the Multiple Linear Regression algorithm, with the K-Fold Cross Validation method applied to enhance model accuracy. The results show RMSE and MAPE values of 695.7909 and 0.27%, respectively, indicating that the Multiple Linear Regression algorithm is effective in predicting gold prices.
Analisis Sentimen, Grab Indonesi Analisis Sentimen Grab Indonesia Pada Ulasan Google Play Store Menggunakan Algoritma Naïve Bayes Dan SVM Nurfauzi, Oka Muhamad; Hilabi, Shofa Shofiah; Nurapriani, Fitria; Huda, Baenil
SMARTICS Journal Vol 11 No 1 (2025): SMARTICS Journal (April 2025)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v11i1.11789

Abstract

This study uses the Naïve Bayes and Support Vector Machine (SVM) algorithms to analyze the sentiment of user reviews on the Grab Indonesia app on the Google Play Store.  Web scraping was used to gather the review data, which was then processed through a number of stages, such as tokenization, letter modification, the elimination of unnecessary words, and weighting using the TF-IDF approach.  The findings of the investigation demonstrate that SVM performs better in classifying positive and negative sentiments and has a greater accuracy (93%) than Naïve Bayes (92%).  But in terms of computational efficiency, Naïve Bayes continues to lead the field.  This study sheds light on how well both algorithms do sentiment analysis on Indonesian mobile apps
Analisis Clustering Produktivitas Padi Daerah-Daerah Di Tiga Provinsi Besar Pulau Jawa Menggunakan Algoritma K-Means Berbasis Python Riono, Sapto Hadi; Rizdania; Henny May Indahsari
SMARTICS Journal Vol 10 No 2 (2024): SMARTICS Journal (Oktober 2024)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v10i2.11826

Abstract

Rice plays a crucial role for the Indonesian people as their primary source of energy and carbohydrates. A decline in rice production can impact food availability. Rice, as the main food crop, and its processed products, are crucial in fulfilling more than 70% of the daily food needs for the Indonesian population. One of the methods that can be used to conduct Clustering analysis on rice productivity and rice in three major provinces of Java Island is by using K-Means algorithm. While the tools used in this research is Python. The evaluation result of Sum of Squared Error (SSE) is 3.4452012710511966, Davies-Bouldin Index (DBI) 0.5811451032787581, Silhouette Coefficient Index (SCI) 0.5581692872789441. The use of the K-Means method with Python successfully grouped rice productivity data into three clusters namely high, medium and low. By using fit_predict from the sklearn library, the rice productivity data in the regions of the three major provinces in Java Island were successfully grouped well and gained deep insights and were influenced by various factors such as cultivation techniques, soil quality, and climatic conditions.
Analisis Sentimen Public Program Makan Bergizi Gratis Platform Instagram Dengan Algoritma SVM Wardianto; Muhamad Jakak, Pamuji; Rohman, Miftakhul
SMARTICS Journal Vol 11 No 1 (2025): SMARTICS Journal (April 2025)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v11i1.11852

Abstract

Public sentiment towards the Free Nutritious Meal Program on the Instagram social media platform is the subject of this study. Using the Support Vector Machine (SVM) algorithm, we classify sentiment from Instagram user reviews into positive, negative, and neutral categories. The SVM algorithm demonstrates a strong performance, with an accuracy of 0.90 in classifying sentiment. Moreover, the sentiment analysis reveals that most public reactions are neutral towards this program. This study has the potential to significantly influence decision-making by providing insights into how the public views government programs and the importance of considering sentiment.
Optimalisasi Penerangan Jalan Umum (PJU) di Dermaga Pelabuhan Wani 2 dengan Simulasi Dialux Evo Nawawi, Alfi; Kali, Agustinus; Mahmudi, Irwan; Sholihah, Ratih Mar'atus
SMARTICS Journal Vol 11 No 1 (2025): SMARTICS Journal (April 2025)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v11i1.11856

Abstract

The Wani 2 Port Pier, located in Tanantovea District, Donggala Regency, is a vital infrastructure equipped with a Gantry Crane that requires optimal street lighting to support loading and unloading activities as well as maritime and land transportation. This study aims to analyze the lighting intensity and its compliance with the standards set by SNI 7391:2008, the Ministry of Public Works and Public Housing, the Ministry of Maritime Transportation, and the Ministry of Health Regulation No. 70 of 2016, which recommends a minimum illumination level of 20 lux. An evaluation of the existing street lighting system indicates that the average lighting intensity remains below the established standard, ranging from 8 to 16 lux. This discrepancy is attributed to the varying distances between light poles, which range from 15–20.5 meters and the use of 100-watt LED lamps with an output of 12,500 lumens and a color temperature of 4000 Kelvin, which are not optimal. To address this issue, this study optimizes the street lighting system through simulations conducted using DIALux Evo software. The proposed improvements include modifying the lamp specifications and increasing the number of lamps. This upgrade results in a total luminous output of 30,000 lumens. Additionally, adding one streetlight with a 14-meters spacing between poles enhances overall illumination. The simulation results indicate that modifying the lamp specifications and adding streetlight points significantly improve light distribution. The achieved illumination levels comply with SNI 7391:2008 and the Ministry of Health Regulation No. 70 of 2016.

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