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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 176 Documents
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Expert System For Identifying Diseases In Native Chickens Using The Certainty Factor Method Arifin, Abdullah; Novita, Rice; Permana, Inggih; M. Afdal
Jurnal Sistem Cerdas Vol. 7 No. 3 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i3.465

Abstract

Farming is the business of breeding and raising animals, divided into two groups: large animals (cows, buffaloes, horses) and small animals (chickens, ducks, birds). The demand for livestock, especially poultry like free-range chickens, is on the rise. However, many small to medium-sized free-range chicken farms still rely on conventional methods for disease treatment, which depend on the experience of the farmers. An expert system is a piece of computer software that mimics the choices and behaviors of a person or group with in-depth knowledge and expertise in a certain field. The objective of this study is to enhance the effectiveness of disease treatment for free-range chickens and streamline the diagnosis procedure. Farmers can determine which diseases are harming their free-range hens by using the Certainty Factor approach. Experts were surveyed to provide the data used in this study. Accurate diagnosis of diseases in free-range chickens and suitable treatment recommendations are provided by the system's diagnostic results.
Decision Support System Decision Support System (DSS) For Determining Scholarships Using The MOORA Method M Yogi; Saputra, Eki; Fronita, Mona; Muhammad Lutfi Hamzah
Jurnal Sistem Cerdas Vol. 7 No. 3 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i3.468

Abstract

A decision support system is a system that uses computer technology to assist decision making. Every year, Baznas Riau Province conducts a selection process for scholarship acceptance. Scholarships are financial assistance for individuals, both students and students, for educational purposes. In the scholarship selection process, there are several criteria and sub-criteria, including KTP, educational status (not yet a graduate), GPA, parents' income, and housing conditions. The existence of quotas and specific criteria that must be met makes it difficult for Baznas Riau Province to select prospective scholarship recipients. This research implements the MOORA method, which was chosen for its simplicity, effectiveness, stability, and ability to produce accurate judgments in decision-making when compared to other methods. This method is simple and practical to use, and optimizes various objectives based on ratio analysis by giving values or weights to each predetermined criterion. After testing using the MOORA method, results were obtained from 13 students tested, where the highest value was obtained by A12 (Maya Sari) with a value of 0.2454 and the lowest value by A11 (Rizka Syaputri) with a value of 0.1987. The final result of this research produces a decision support system to determine scholarship recipients at Baznas Riau Province, which is expected to help Baznas in the scholarship selection process and increase efficiency in its implementation.
Adaptive Nutrient Management for Vegetable Cultivation: A Fuzzy Rule-Based Approach Pohan, Sry Dhina; Arwani, Muhammad
Jurnal Sistem Cerdas Vol. 7 No. 3 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i3.471

Abstract

The availability of foodstuffs, especially vegetables in Indonesia, is highly dependent on seasonal changes, making it necessary to implement precision agriculture to improve the efficiency of vegetable cultivation. The accuracy in fulfilling plant nutrient requirements is a key factor in the effectiveness of vegetable cultivation, hence a nutrient solution irrigation control system is essential. The main challenge in developing such a control system is the variation in the duration of nutrient solution irrigation, which is highly dependent on soil fertility levels and the environmental conditions of the vegetable cultivation area. This research proposes a fuzzy rule-based algorithm to determine irrigation duration based on temperature, air humidity, soil moisture, and light intensity. The fuzzy algorithm is implemented in the nutrient solution irrigation control system through a wireless sensor network (WSN). This research resulted in the design of an application for the nutrient solution irrigation control system in vegetable plant growth, capable of determining irrigation duration accurately and clearly with the implementation of the fuzzy rule-based algorithm, resulting in an irrigation duration of 48 seconds/500ml categorized as long for nutrient solution irrigation. The fuzzy rule-based algorithm was tested using Mean Square Error (MAPE) based on the irrigation duration results, yielding an error percentage of 0.25%, which is considered highly accurate in conducting nutrient solution irrigation for vegetable plants. This automated control system has the potential to increase vegetable crop productivity by minimizing fertilizer and water wastage.
Application of the DBSCAN Algorithm in MSME Clustering using the Silhouette Coefficient Method Abidin, Mochammad Syahrul; Kustiyahningsih, Yeni; Rahmanita, Eza; Satoto, Budi Dwi; Firmansyah, Muhammad Iqbal
Jurnal Sistem Cerdas Vol. 7 No. 3 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i3.472

Abstract

MSMEs participate in the very important contribution of developing Indonesia's economy, where this industry contributes to GDP and also to the absorption of labor. Most MSMEs in Sidoarjo Regency are still constrained by financial management and the utilization of technology. This research will apply the DBSCAN method to clustering MSMEs in Sidoarjo for the purpose of finding patterns in characteristics related to capital, turnover, and workforce. The analysis will involve 1,479 MSMEs, while the research methodology applies the CRISP-DM method to guide the process from business understanding up to the implementation phase. Normalization using Simple Feature Scaling was applied before clustering. The results of this analysis provide insight that the best possible combination of the parameters in DBSCAN is epsilon (ε) 0.10 and MinPts 16, which gives the optimal value of Silhouette Score as 0.4304. It creates seven clusters, in which the third has the highest Silhouette value of 0.9326, indicating that there are high similarities recorded within that cluster. These results provide essential lessons to develop more targeted policy strategies and interventions for MSMEs in Sidoarjo and explore the capabilities of DBSCAN as an effective analytical tool in determining the characteristics of businesses in the region.
User Experience Evaluation of M-Passpor Using User Experience Questionnaire Winanda, Salsa; Tengku Khairil Ahsyar; Angraini; Megawati
Jurnal Sistem Cerdas Vol. 7 No. 3 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i3.474

Abstract

This study evaluates UX of the M-Passpor application, an m-government application to facilitate the online passport administrative process and reduce queues at the immigration office. Although this application offers convenience in making passports, since its release M-Paspor has received many complaints from users regarding the services provided. A UX evaluation was conducted using the UEQ method, which measures six of these aspects aspects: Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. The outputs presented that Perspective and Attractiveness aspects had the highest scores, indicating that the app is quite easy to understand and visually appealing. However, the Novelty aspect had a low score, indicating a lack of innovation and new experiences for users. Based on these findings, the researcher recommends improving efficiency, simplifying processes, notifications and feature innovation to improve UX. The outcome of this study is expected to become the basis for improving the UX quality of the M-Passpor application so as to create better and satisfying services for users in the future
Customer Segmentation Using the RFMD Model and Fuzzy C-Means Algorithm Muhammad Hafis Zikri; Siti Monalisa; Fitriani Muttakin
Jurnal Sistem Cerdas Vol. 7 No. 3 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i3.481

Abstract

Many businesses face challenges in optimizing customer data processing, which often limits the ability to understand customer behavior and improve marketing strategies. This research addresses these challenges by applying the RFMD (Recency, Frequency, Monetary, Diversity) model combined with the Fuzzy C-Means (FCM) clustering algorithm to segment customers based on transaction data. The results identified five distinct customer segments based on Customer portfolio Analysis (CPA), which were validated using the Davies-Bouldin Index (DBI), with each segment showing diverse levels of engagement and behavioral patterns. The results show that the best clusters of Superstar and Golden customers are clusters 4 and 2, while Typical and Occasional customers are clusters 1 and 3. The lowest cluster of Everyday customers is found in cluster 5. The findings provide applicable insights to improve customer retention and optimize data-driven marketing strategies.
Implementation of 360° Virtual Reality using Sky View as Information Media for Infrastructure Infrastructure in Education Sector Latifah, Ayu; Rizal Nurul Hadi, Muhamad
Jurnal Sistem Cerdas Vol. 8 No. 1 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i1.451

Abstract

The rapid advancement of information technology has had a significant impact on various sectors, including education. One educational institution in Garut, Yayasan Al Musaddadiyah, faces challenges in effectively conveying information to prospective students. Traditional media such as brochures and pamphlets often fail to provide a comprehensive depiction and better visualization of the facilities and educational environment at the institution. As a solution, this research developed a Virtual Reality (VR) 360° media with a Sky View perspective to visualize the existing facilities and infrastructure at Yayasan Al Musaddadiyah. The study utilized the Multimedia Development Life Cycle (MDLC) method in the VR application development process. MDLC was chosen because it provides a systematic approach at each development stage, from concept to implementation and evaluation. In this research, various multimedia elements such as images, videos, and audio were integrated into the VR application to create an immersive and interactive experience for users. By leveraging VR 360° Sky View technology, prospective students and parents can directly view the educational environment and available facilities at the institution without physically visiting the location. Evaluation results showed that the use of VR-based information media successfully increased the interest and understanding of prospective students towards Yayasan Al Musaddadiyah. Additionally, this application proved effective in expanding the reach of information about the institution, particularly in the increasingly connected digital era. Thus, the development of VR-based information media not only provides a practical solution to the institution’s communication challenges but also opens up new opportunities as a promotional or marketing strategy for educational institutions in the future.
Development of an Intelligent System for Early Diagnosis of Diseases in Toddlers Using Forward Chaining and Dempster-shafer Integration Pratama, Yusuf Hendra; Firmansyah, Firmansyah; Arfin, Ahmad
Jurnal Sistem Cerdas Vol. 8 No. 1 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i1.469

Abstract

Toddlerhood is an important period in a child's growth and development. In this period children will be vulnerable to disease. There are several types of diseases that range in toddlers such as diarrhea, pneumonia, malaria, etc. The problems faced are the limited access and quality of health services in some areas where health costs are still relatively high, the availability of health workers is also not always available, and the lack of knowledge related to toddler health. So, a system is needed that can provide knowledge and first aid information related to the health of toddlers which is expected to help in reducing the mortality rate of toddlers, especially for the types of diseases that can cause death such as diarrhea, pneumonia and malaria. The methods used in this research are Forward Chaining and Dempster-shafer. The result of this research is an intelligent system that applies forward chaining and dempster-shafer methods to diagnose early diseases in toddlers. The test results carried out in this research show an accuracy value of 90% of 10 tests. The results of Blackbox and usability testing conducted also show that the developed system is as expected and feasible to use
Analysis of Customer Feedback for an e-Commerce Application Based on Artificial Neural Networks Sri Anita; Army, Widya Lelisa; Nugroho, Arif
Jurnal Sistem Cerdas Vol. 8 No. 1 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i1.473

Abstract

With the rise of the Internet, e-commerce platforms have become one of the primary shopping channels for consumers. Establishing an efficient and intelligent customer service system is a crucial challenge for these platforms. This research aims to analyze how the interactivity of e-commerce applications and customer feedback from online shopping experiences can influence consumer loyalty and the likelihood of repurchase. To evaluate customer loyalty, we utilize an artificial neural network, which is processed using the SPSS application. The findings indicate that the relationship between interactivity, consumer feedback, and loyalty has a confidence level of 85.4%. A relationship between variables is considered strong if the R-squared value is above 50%, while a value below 50% indicates a weaker relationship.
Alphabet Learning Media Using Image Classification for Speech-Impaired Students in Special Education Schools Novita, Rice; Rahmawita M, Medyantiwi; Safiq Tama, Naufal
Jurnal Sistem Cerdas Vol. 8 No. 1 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i1.478

Abstract

This research aims to develop an image classification-based learning medium for teaching the alphabet to students with speech impairments in special schools (SLB). The technique used in image classification is Random Forest with a dataset of 5,400 images, including 1 default image and 26 alphabet classes. The software development follows the waterfall model, including requirements analysis, system design, implementation, and testing, with system design utilizing object-oriented analysis and design (OOAD). Evaluation metrics, including accuracy (100.00%), precision (1.00), recall (1.00), and F1 score (1.00), indicate the model’s outstanding performance. The system was tested on 10 students with speech impairments, showing an average improvement in ability from 5.9 in the pretest to 12.8 in the posttest, demonstrating consistent gains among participants. This image classification-based learning medium is expected to support the learning process for students with speech impairments in SLB effectively

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