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Jurnal Sistem Komputer dan Informatika (JSON)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : -     EISSN : 2685998X     DOI : https://dx.doi.org/10.30865/json.v1i3.2092
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
The Jurnal Sistem Komputer dan Informatika (JSON) is a journal to managed of STMIK Budi Darma, for aims to serve as a medium of information and exchange of scientific articles between practitioners and observers of science in computer. Focus and Scope Jurnal Sistem Komputer dan Informatika (JSON) journal: Embedded System Microcontroller Artificial Neural Networks Decision Support System Computer System Informatics Computer Science Artificial Intelligence Expert System Information System, Management Informatics Data Mining Cryptography Model and Simulation Computer Network Computation Image Processing etc (related to informatics and computer science)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 755 Documents
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Sistem Pemantauan Suhu, Kelembapan Udara dan pH Air pada Rumah Anggur berbasis Internet of Things Menggunakan Aplikasi Website Mislaini Mislaini; Ikhwan Ruslianto; Kasliono Kasliono
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6675

Abstract

Grapes are plants that are difficult to grow in tropical climates. It requires specific enviromental conditions as well as special care, with optimal growth of grapes occuring in lowlands (0-300 masl) with a humidity score ranging from 75% - 80% humidity and temperatures between 23°C - 31°C, and a water pH level from 5.5 pH - 7.3 pH. To achieve these ideal conditions, technology in the form of an Internet of Things (IoT) system and a greenhouse is used in order to monitor and control the grapes' growing environment. The use of this technology aims to improve efficiency and productivity by taking into account the temperature, humidity and water pH level as factors which affect the growth, quality, and yield of grapes. Research result shows that the use of IoT technology in controlling temperature and humidity air effectively increases the productivity of grapes. This can be seen from the increase in the number of leaves, stem length, and number of shoots on grapes that were monitored and controlled by the IoT system. The results of testing the accuracy of each sensor by conducting 15 experiments show that the average water pH measurement accuracy is 0.1%, while temperature measurements and air humidity has an average accuracy of 0.1% and 0.3% respectively. In addition, the average response time of the system in controlling mist makers, fans and pumps alkaline is 3 seconds based on 15 tries.
Metode TOPSIS Untuk Penerima Bantuan Pendidikan Bagi Mustahik Fakir Devit Satria; Desyanti Desyanti; John Suarlin
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6734

Abstract

Education is mandatory for all levels of society, every parent wants their children to be able to go to school properly, but the roots of education problems generally lie in financing for parents who have relatively low incomes. If conditions like this continue, Indonesia will lose the best generation if there are still many children who do not go to school due to the cost factor. The Dumai City National Amil Zakat Agency (BAZNAS) is one of the Amil Zakat Agencies in Riau Province. The Dumai City Baznas created an educational assistance program for poor families in the form of money to buy school supplies. Mustahik who wish to receive educational assistance must fill out a form and other predetermined conditions. After that, Baznas will select the incoming proposals and carry out the selection process. The large number of proposals caused Baznas to take a long time to make a decision because they had to check the submitted documents one by one, because it took a long time, the proposal for submitting assistance was approved based on the results of the meeting and agreement with the chairman of BAZNAS. So that the results decided are not as optimal as the actual conditions. For this reason, a system is needed that can assist BAZNAS in carrying out the document selection process in accordance with the requirements so that the assistance provided is right on target and can determine priorities for recipients of educational assistance for mustahik. The TOPSIS method is able to provide solutions to problems that occur, from the results of research conducted by Sutjiati Gita Lestari, it is ranked 1st with a value of 0.8041
Sistem Antrian Pelanggan Menggunakan Metode Jackson Network Queue Mukhamad Niamaskur; Andi Widiyanto; Agus Setiawan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6741

Abstract

Information systems can be applied in various fields either as the main means or to increase productivity or service quality. One of the uses of technology is that it is used as a means to make it easier for customers to place orders which aims to avoid queues that are too long. Setia Car Spare Parts Store is a provider of car spare parts that has many customers which sometimes makes the customer queue too much. This sometimes makes customers, especially new customers, impatient to queue. To make the queue more orderly, a queuing system will be built to maximize service and increase customer satisfaction which is calculated using the Jackson method. This method was chosen to calculate the time that is considered in accordance with what the customer expects. The queuing system applied to the system built is a single channel FIFO. From the results of system testing carried out, the application of a queuing system with online ordering by applying the Jackson method can enable employees to serve 48 customers in a day with an average of 15 minutes of service time. These results are more when compared to offline services where each employee can only serve 41 customers with an average service time of 17.56 minutes.
Sistem Pendukung Keputusan Dalam Pemilihan Buah Semangka yang Layak Dijual Menggunakan Metode AHP dan PROMETHEE Agil Indriyani; Raissa Amanda Putri
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6743

Abstract

Watermelon and Melon Buying and Selling Twins is a business that exports watermelons and melons to various cities owned by Mr. Kliwon whose address is at Pulau Gambar Village. In the Watermelon and Melon Buying and Selling Twins, in selecting the best quality watermelons suitable for sale, problems were found, namely that usually because they were affected by high prices, farmers did not prioritize the best quality watermelons and only focused on the number of fruits to be sold and agents had difficulty selecting watermelons. The best quality is suitable for sale, especially for export outside the city. So, with this problem, the author took the initiative to solve the problem correctly and maximize the determination of watermelons that are suitable for sale by designing and building a web-based decision support system by applying the AHP and PROMETHEE methods to help agents determine the best quality of watermelon. The design of this web-based application was carried out by conducting research at the Watermelon and Melon Buying and Selling Twins by collecting data on watermelon fruit and criteria data on watermelon fruit. After the data was collected, each fruit was weighted and ranked and then entered into the application that had been built. Based on the calculation results in this research, alternative weighting using the AHP method helps weighting with a weight scale of 1 - 9 according to AHP provisions. After carrying out alternative weighting, the next ranking is using the PROMETHEE method to get the netflow value, ranking 1 is obtained by 15 with a netflow value of 3,583 and Rank 15 is obtained by fruit 5 with a netflow value of -1.833.
Sistem Pendukung Keputusan Dalam Menentukan Calon Nasabah Penerima Pinjaman Dana Menerapkan Metode TOPSIS dan AHP Sri Yuslina Siregar; Raissa Amanda Putri
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6744

Abstract

PT. FIFGroup is a company that has obtained permission from the Minister of Finance, where this company carries out business in the field of providing loans in the form of funds. PT. FIFGroup Cikampak is one of several branches in other cities, as a prospective customer there are 5 criteria that must be considered and have been determined, namely according to the prospective customer's income, collateral for the prospective customer, employment, needs and term of borrowing funds. However, when determining potential customers who will receive loan funds, PT.FIFGroup Cikampak still uses manual methods, such as analyzing the conditions attached when applying for funds. In order to avoid errors in customer decision making, a web-based decision support system is needed to provide information quickly and precisely regarding the criteria for prospective customers. This decision support system uses a combination method, namely Topsis (Technique for orders preference by siilatyt ideal solution) and AHP (Analytical hierarchy process), this system can automatically recommend potential loan recipient customers who comply with predetermined criteria. Prospective customers who receive loan funds in this system will produce a ranking based on Topsis and AHP calculations. Based on calculations using the AHP method from the five criteria elements, the alternative weightings use a satty scale weighting of 1-9 according to the provisions of the AHP method. Then the ranking was carried out using the topsis method, resulting in the first rank being the name of the Misno customer with a manual priority of 0.729 and a system of 0.729, the lowest value or lowest ranking of the 15 alternatives, namely Sri Irma Naibaho manual priority of 0.204 and system of 0.204. The design of the decision support system has been successfully built using the Topsis and AHP methods, based on the results of Black Box testing, the system runs very well as desired.
Facial Expression Recognition inCovid-19 Pandemic EraUsing 2 Stage Convolutional Neural Network Kevin Kurniawan; Lili Ayu Wulandhari; Antonius Rildo Pramudya Gondosiswojo
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6768

Abstract

In the Covid-19 pandemic era, the use of face mask has become mandatory for all citizens to prevent the spread of the virus. This regulation has becomes a big problem for the Facial Expression Recognitions (FER) applications because face mask cover more than halfof human faces. Starting from this problem, this experiment attemps to produce a robust network which can perform well in both conditions: recognizing expressions with and without a face mask. Dataset used in this experiment is FER2013, with a preprocessing step to produce a FER2013 masked. This research uses 2-stage network, where the first network is used to recognize whether the subject is wearing a mask or not, and then the second network is used to recognize the expression based on the result from the first stage. The network in this experiment is based on Convolutional Neural Network (CNN), with Imagenet as our pretrainedmodel and EfficientNet as our architecture model.Ourproposed model has shown quite good performance in recognizing expressions, even when the data consists of subjects who use and do not use masks with an accuracy of 57.55%.
Perbandingan Algoritma MOORA dan Profile Matching pada Sistem Pemilihan Pupuk untuk Tanaman Porang Farid Akbar Siregar; Fatma Sari Hutagalung; Mhd Basri
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6772

Abstract

Porang plants have long been utilized as a source of carbohydrates, fats, proteins, minerals, vitamins, and dietary fiber, which are exported as raw materials for various industries. In recent years, porang plants have become a highly profitable export commodity. One of the critical factors influencing porang plant production is fertilization. The timely, precise dosage, and correct method of fertilization determine the effectiveness of the fertilizer applied. MOORA considers various criteria in a balanced manner. Its ability to optimize the ratios between these criteria enables a more comprehensive selection of fertilizers. Profile Matching can be effective when specific criteria need to be emphasized over others. However, this method may not yield optimal decisions when several criteria carry significant weight. This research aims to determine the best type of fertilizer by applying a Decision Support System (DSS) and provides the benefit of assisting farmers in determining the most suitable fertilizer types for each phase of porang growth.In this study, a comparison was made between the MOORA and Profile Matching algorithms in the context of fertilizer selection for porang plants, using 7 fertilizer alternatives and 6 criteria types. Based on the research results, it can be concluded that both algorithms produce relatively similar outcomes, but the Profile Matching algorithm has a faster processing time compared to the MOORA algorithm in determining results. The contributions of this research include the development of a fertilizer selection system to help farmers optimize the growth and harvest of their crops. It also contributes to scientific literature and the comparison of algorithms, which can assist scientists and practitioners in selecting the most appropriate algorithms for similar problems in the future.
Pemilihan Auditor Internal dalam Mengimplementasikan Pendekatan Metode Multi Attribute Utility Theory (MAUT) dan Menerapkan Pembobotan Rank Order Centroid (ROC) Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6795

Abstract

The Internal Auditor of a company is a professional responsible for evaluating, overseeing, and providing independent assessments of the effectiveness of internal controls, accounting systems, and business processes of a company. The primary task of the internal auditor is to assist the company's management in ensuring that its operations adhere to applicable standards, policies, and regulations. The presence of an internal auditor helps the company maintain integrity, accountability, and compliance with relevant standards and regulations. They provide an independent view of the company's performance and aid in enhancing operational efficiency and effectiveness. In the complex business world, selecting a candidate for the role of Internal Auditor poses a challenge. Diverse selection criteria, such as auditing skills, industry knowledge, and integrity, often prove difficult to objectively assess. Decision-making based solely on experience can lead to inconsistent outcomes. The importance of accuracy and objectivity in selecting an Internal Auditor demands a scientific approach. The Multi-Attribute Utility Theory (MAUT) analysis method is employed to address the complexity of criteria. Meanwhile, the Rank Order Centroid (ROC) method is used to assign weights to each criterion. By combining MAUT and ROC in a support system, companies have a more structured and measurable way to select potential Internal Auditors. This approach is expected to help overcome issues in candidate selection that often do not align with the company's needs, and to provide more accurate and objective decisions. The ultimate result obtained by applying the MAUT method is a value of 0.794, which is the highest ranking among the 7 selected alternatives. The highest ranking result associated the seventh alternative, named Poppy Rosana.
Prediksi Harga Tandan Buah Segar dengan Algoritma K-Nearest Neighbor Silvi Joya Arditna Br Bukit; Rakhmat Kurniawan R.
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6818

Abstract

Palm oil and its derivative products are a source of foreign exchange for this country, because efforts are needed to maintain and develop the sustainability of palm oil as a potential natural resource. The company carries out statistical analysis on the factors inhibiting the previous month's harvest with a correction value of 5% – 12%. However, this kind of analysis still produces inaccurate prediction results, this is because the calculation process still involves estimation techniques from personal experience, looking at previous production patterns and other determining factors such as land area, principal amount and planting age. As a result, prediction targets often experience errors and production results are excessive or less than the target. Therefore, better predictive calculations are needed in determining palm oil production targets. Accurate predictions can help companies make decisions to increase production output. To carry out forecasting, it is necessary to apply the K-Nearest Neighbor Algorithm which can be used to predict palm oil prices in the future. Based on the results of data mining calculations using palm oil FFB prices from 2018 to 2023 (May 2023), it was concluded that the prediction of palm oil FFB prices in the 67th month (July 2023) had an accuracy level of 10,667 with k=3 and 19,200 with k=5.
Perbandingan Metode Dempster Shafer Dan Teorema Bayes Dalam Sistem Pakar Mendiagnosa Moyamoya Disease Naufal Rifqi; Agus Iskandar
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6819

Abstract

The main aim of this research is to compare two analytical approaches, namely the Dempster-Shafer Method and the Bayes Theorem, in the context of a system developed for diagnosing Moyamoya disease. Moyamoya is a rare condition involving the narrowing or blocking of blood vessels in the brain, which can lead to disrupted blood flow and an increased risk of stroke. In the medical field, diagnosing Moyamoya disease is a crucial initial step for appropriate treatment planning. The Dempster-Shafer Method is an approach used to address uncertainty and combine uncertain information into a conclusion. On the other hand, the Bayes Theorem is a statistical principle that connects the probability of a hypothesis before and after new evidence emerges. Both of these approaches are vital in the medical diagnostic process. In this study, both methods are implemented in an expert system specifically developed for diagnosing Moyamoya disease. Data from Moyamoya cases are used to evaluate the performance of both methods. Performance measurement is conducted by observing diagnostic accuracy, computational time, and resource usage. The results of this research provide valuable insights into the effectiveness and performance of the Dempster-Shafer Method and the Bayes Theorem in medical applications, particularly in diagnosing Moyamoya disease. Strengths and weaknesses of each approach are revealed, aiding in understanding situations where each method is most suitable. The Dempster-Shafer Method is effective in dealing with complex uncertainties and combining uncertain evidence. Meanwhile, the Bayes Theorem excels in probability calculations. The implications of this research are important in developing more advanced medical expert systems. In the medical realm, where diagnostic decisions impact patient care, a better understanding of these approaches helps in selecting the most appropriate method for specific situations. The results of comparing both methods indicate that the Dempster-Shafer Method yields a high probability of around 91%, indicating a substantial likelihood that the patient is suffering from this disease. Conversely, the Bayes Theorem yields a low probability of around 22%, suggesting a relatively small likelihood that the patient has Moyamoya Disease.

Page 75 of 76 | Total Record : 755

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