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INDONESIA
Jurnal Sistem Cerdas
Published by Asosiasi Prakarsa Indonesia Cerdas
ISSN : -     EISSN : 26228254     DOI : -
Core Subject : Science, Education, Engineering,
Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering
Jurnal Sistem Cerdas dengan eISSN : 2622-8254 adalah media publikasi hasil penelitian yang mendukung penelitian dan pengembangan kota, desa, sektor dan kesistemam lainnya. Jurnal ini diterbitkan oleh Asosiasi Prakarsa Indonesia Cerdas (APIC) dan terbit setiap empat bulan sekali.
Arjuna Subject : Umum - Umum
Articles 9 Documents
 1 
Search results for , issue "Vol. 6 No. 2 (2023)" : 9 Documents clear
User Satisfaction Evaluation of E-Learning as a Learning System at Heritage School Gondomulio, Timothy; Suroso, Jarot S.
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.285

Abstract

This study examines the effectiveness of using E-learning in XYZ school. In education, the issue of using information and communication technologies for teaching and learning is of great importance. This study will provide a literature review and scientific background to the study by reviewing the impact of E-learning, particularly its use in teaching and learning in education. At the moment, the school is using an E-learning system called Learning Management System. This study will analyze the user’s satisfaction for the information quality, system quality, service quality, and its use, by using the PLS-SEM application. The results of this study will determine if the user’s are satisfied and if the system needs to be improved.
Sistem Klasifikasi Pengajuan Kredit dengan Metode Support Vector Machine (SVM) Ni Putu Della Tirta Yanti; I Made Dwi Putra Asana
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Entering the era of the Covid-19 pandemic, lending capital (credit) to KOPPAS has increased, causing a lot of data and slowing down the credit disbursement process. Currently, KOPPAS has not implemented a support system that can provide consideration for credit granting decisions. Therefore, in this study, researchers will discuss the design and development of a decision support application system for granting credit using the Support Vector Machine (SVM) method, to speed up the credit granting process, prevent the level of subjectivity in granting credit, and to minimize the occurrence of bad loans. resulting from errors in the decision-making process. The development of this system uses modeling techniques with data classification processes and the CRISP-DM development method. In this case, the Support Vector Machine method classifies data into 2 classes, namely feasible and infeasible classes. The model development process uses the Radial Basis Function (RBF) kernel parameter by exploring the use of C (cost) and y (gamma) parameter values. This development model uses 200 data with the attributes used in the form of the loan amount, term, collateral value, guarantor agreement, occupation, and loan history. The use of these attributes and the amount of data can produce quite good performance with the highest accuracy rate of 85% using C = 1 and y = 0.005 and the distribution of data is 80% training data and 20% testing data. With the performance of this model, the system can classify creditworthiness.
Penerapan Metode Regresi Linier Untuk Prediksi Jumlah Orang Terlantar Di Provinsi Riau Windy Amelia Putri; M. Afdal; Permana, Inggih; Zarnelly
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.291

Abstract

Displaced people are residents who for some reason cannot meet their needs naturally, both spiritually, physically, and socially. The problem of displaced people occurs for various reasons and urbanization is one of them. Social Service is a government agency that plays a role in improving the quality of social welfare of individuals, groups, and communities. Many community services are carried out by Social Service and one of them is the repatriation of displaced persons. Based on data from the Riau Province Social Service, the number of displaced people in Riau Province from year to year has increased or decreased erratically. This is of course a problem that hinders the Riau Province Social Service in its internal processes such as determining strategies or policies to make decisions. Therefore, this research was conducted to overcome these problems. This research was conducted using the linear regression method with a MAPE result of 7.09% which will be implemented into a prediction application for the number of displaced people and aims to help the Riau Province Social Service get information on the number of displaced people in the next period. Based on the results of the Blackbox test, shows that all menus and features have run very well and obtained a User Acceptance Test (UAT) calculation value of 92%.
Pengaruh Implementasi ERP Kepada Kinerja Karyawan Saat Melakukan Work From Home (WFH) Sidanta, Oscar; Meyliana
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.295

Abstract

As the COVID-19 pandemic intensified in Indonesia in 2020, companies and organizations have devised measures in order to adapt with the absence of physical workforce presence in the workplace, including implementing work-from-home (WfH) regimes, where the employee conducts work operations from their residence. Adapting into a new working environment, however, is often a considerable challenge for companies and organizations of all stripes, especially in ensuring that users can properly adjust themselves and maintain a degree of work efficiency. The work efficiency of users while using a widespread and integrated company business solution, especially enterprise resource planning (ERP) software is often measured by the overall satisfaction of each user. To measure user satisfaction while using an ERP-based enterprise resource management system for work-from-home operations, this research attempts to conduct a survey in an institution or organization that has been sending employees to work from home by collecting responses from employees. The questionnaire will have each respondent evaluate the three relevant variables (benefits, risks and barriers) while using the ERP based system to work from home, which will then be used to measure its correlation with the users’ satisfaction relative to the three factors using the one-way ANOVA correlation method. Research results have yielded a positive correlation between the variables of system effectiveness and user satisfaction, indicating that the use of ERP is generally satisfactory to its users and that ERP systems prove beneficial in assisting organizations in their WfH regime, within the restrictions of a public health issue and beyond.
Autonomus Call System Berbasis ESP32 Untuk Peringatan Dini Kebakaran Rumah Nurrohim, Roziq; B. Kharisma, Oktaf
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.305

Abstract

Fires can occur anywhere, both in buildings and in residential areas. Fires often occur due to human negligence caused by many factors, such as large or small LPG cylinder leaks, the danger of disposing of cigarette butts, and electrical short circuits, causing fire and spreading to other parts. The problem that often arises so far is that the information received about the location of the fire is often wrong, so the fire department arrives late to the actual fire location, therefore a tool is needed to provide an early warning system for house fires. Based on the above problems, we propose a tool that can make calls automatically to provide accurate fire information such as address coordinates to firefighters and early warning of gas leaks to homeowners. This tool uses the ESP32 as a microcontroller, a fire sensor, and MQ2 as the main sensor, Thiger.IO monitors data sensors, telegram messages, email notifications, and phone calls using SIM 800L. The results of this tool can detect gas leaks when gas levels greater than 400 PPM, and a fire occurs with a maximum fire detection distance of 250 cm. Telegram notifications sent in real-time to homeowners, phone calls, and emails of fire address information to the firefighter worked great. The average response time for telephone calls is 6.59 seconds, and a success percentage of 100% obtained in making telephone calls with stable signal conditions.
Comparison Of K-Means, K-Medoids, and Fuzzy C-Means Algorithms for Clustering Drug User’s Addiction Levels Annisa Nadaa Shabrina; M. Afdal; Siti Monalisa
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.313

Abstract

Narcotics, psychotropics, and addictive substances are drugs that can activate brain systems, affect dopamine levels, and cause addiction. In Indonesia, there is a law requiring drug addicts to receive treatment and care. To properly treat a drug addict, it is first necessary to determine the level of addiction. Data mining methods such as clustering can be used to assess a user's level of drug addiction. This study uses the clustering algorithms Fuzzy C-means, K-Medoids, and K-means. The performance of the three clustering algorithms will then be evaluated based on the average similarity of clusters. Data such as how many types of drugs that used, the length of time they were used, the psychiatric status, and the physical condition status, are used. Clustering was accomplished using the data mining software RStudio. The clustering algorithms were then evaluated with the Davies Bouldin Index (DBI). The K-Medoids algorithm was found to have the best average similarity value of cluster for determining drug users' addiction levels based on the results of the analysis.
Pengukuran User Experience Platform Otomasi Proses berbasis Low Code Menggunakan UEQ Falih, Noor; Supangkat, Suhono Harso; Lubis, Fetty Fitriyanti; Prabowo, Okyza Maherdy
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.320

Abstract

This study analyzes the user experience of a Low Code-based Process Automation Platform to enhance efficiency, productivity, and accuracy in business processes. In this study, an analysis of user experience was carried out using a modified long version of the User Experience Questionnaire (UEQ), consisting of six scales: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. Based on the evaluation of the 26 items from the UEQ, the dependability and novelty scales scored the lowest compared to the other scales. Therefore, it is necessary to improve the aspects related to these two scales in order to enhance the platform's role in improving the holistic user experience of the platform.
Sistem Keamanan Kartu NFC Menggunakan Metode AES pada Sistem Pembayaran Elektronik Bhaskoro, Susetyo Bagas; Anggraeni, Pipit; Nijam, E. Nashrul
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.326

Abstract

To maintain data security, a method is needed that can improve data security, one of which is by using cryptographic techniques. In an effort to meet the needs of data security, cryptography focuses on understanding and applying techniques to protect messages. There are several methods used in cryptography, one of which is the AES method which is recognized as the best encryption algorithm for several reasons, such as using a sufficiently secure key, high processing speed, and ensuring data integrity and confidentiality. In this study, the AES method is used to secure data in the form of nominal balances stored on NFC cards. Based on the test results, it can be seen that the NFC card can function as a balance storage with a maximum limit of IDR 1,000,000. Then based on the confusion matrix method, the security system on the NFC card has an accuracy value of 81,81%, 83.3% precision, and 93,75% recall.
Web-Based Anomaly Detection for Smart Urban Living: Drone Photography and Videography Hermanus, Davy Ronald; Suhono Harso Supangkat; Fadhil Hidayat
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.330

Abstract

Smart cities aim to enhance the quality of life for urban dwellers through technological advancements. Machine Learning (ML) plays a crucial role in various domains of Smart X, including education, transportation, healthcare, environment, and living. However, integrating ML into daily life poses challenges. This paper presents a web-based ML application prototype that effectively augments the daily quality of life for communities. It specifically explores the advantages of web-based photography-videography-enabled drones for citizen needs and city inspections. The application utilizes ML to detect anomalies and identify normal objects, addressing the common challenge of distinguishing normalcy from abnormality. Examples include assessing the structural integrity of house components, analyzing medical images, and evaluating the quality of fruits or hydroponic plants. The study employs exploratory and experimental methods, utilizing teachable machine learning and the Python-based Streamlit application. Experimental results demonstrate that web-based photo and video analysis expedites the detection of normal and abnormal images and videos, surpassing the limitations of visual examination with the naked eye. This research contributes to advancing ML applications in smart living for urban communities.

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