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Mochammad Anshori
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moanshori@itsk-soepraoen.ac.id
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jesica@itsk-soepraoen.ac.id
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Jl. S. Supriadi No.22, Sukun, Malang, Jawa Timur, Indonesia (Kampus 2 ITSK Soepraoen)
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INDONESIA
The Journal of Enhanced Studies in Informatics and Computer Applications
Published by Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW
ISSN : 30466997     EISSN : 30466938     DOI : https://doi.org/10.47794/jesica.v1i1
Core Subject : Science,
Computer Science & IT
Journal of Enhanced Studies in Informatics and Computer Applications (JESICA) is an international peer-reviewed journal that aims to provide the best analysis and discussion to its readers in the development scope of Data Science, Software Engineering, Computer Applications, Health Informatics, and Internet of Things. JESICA publishes original research findings and quality scientific articles that present cutting-edge approaches including methods, techniques, tools, implementation, and applications.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
 1 
Combination Of HCD, Persona, MVP, and Thumb Zone for Designing TNI Physical Fitness Monitoring Application Wirpan Atmaja Putra; Wahyu Teja Kusuma
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 1 (2024): JESICA Vol. 1 No. 1 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i1.2

Abstract

This research contributed to producing a combination of design methods and design of the Indonesian National Army (TNI) physical fitness monitoring application. This research is very important because TNI institutions really need a physical fitness monitoring application to be able to make the right decisions. The design of the physical fitness monitoring application primarily uses the Human-Centered Design (HCD) method which is then combined with the Persona, Minimum Viable Product (MVP) and The Thumb Zone methods. The combination of HCD with Persona has been proven to be used to understand and determine usage content and user needs. The combination of HCD with MVP has proven to be able to be used to produce design solutions to meet user needs. The combination of HCD with Thumb Zone has proven to be able to be used to evaluate designs against user needs. Finally, as many as 20 Persona respondents agreed that the combination of HCD, Persona, MVP, and Thumb Zone proved reliable for producing physical fitness monitoring application design solutions that can be used naturally and meet the needs of TNI.
Evaluation of SIAKAD ITSK RS dr. Soepraoen using Technology Acceptance Model (TAM) Ahsanun Naseh Khudori; Risqy Siwi Pradini; Nindynar Rikatsih
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 1 (2024): JESICA Vol. 1 No. 1 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i1.3

Abstract

Institut Teknologi, Sains, dan Kesehatan (ITSK) RS dr. Soepraoen is one of the higher education institutions that implements academic information systems in the process of providing education. The academic information system (SIAKAD) involves many users and many data processings, so there is possibility of problems with network access. Therefore, an evaluation is needed to determine user’s acceptances of the performance of SIAKAD which has been used so far at ITSK. The evaluation model proposed in this research is the Technology Acceptance Model (TAM), which is a model that provides perceptions based on the experiences experienced by users. This research used a questionnaire instrument which was distributed to all SIAKAD ITSK users. The expected result is a positive percentage that will describe the correct system performance and a negative percentage that can be an input for further improvements to SIAKAD ITSK.
Development of a Space Rental Website Using Design Thinking Cantika Nur Previana; Risqy Siwi Pradini; Jenike Gracelya Noke
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 1 (2024): JESICA Vol. 1 No. 1 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i1.4

Abstract

The large number of events held in Malang City has created a need for a place to hold these events. This need opens opportunities for developing venue rental applications to make it easier to search and book rooms according to the needs of each event. This research develops "Paketempat", which is a rental website located in Malang City using the Design Thinking method. The DT phases used include inspiration, ideation, and implementation. The Paketempat website was successfully developed using Laravel and MySQL. Based on the TAM questionnaire distributed to 20 testers, the majority answered strongly agree or gave 3 points. This proves that Paketempat can bridge space providers and tenants easily and quickly. Through Paketempat, individuals, communities, organizations, and groups can rent a suitable venue for their desired event or activity according to their budget and needs.
Use Discriminant Analysis to Identify Eroticism-Related Terms in The Lyrics of Dangdut Songs Herry Wahyu Wibowo; Muhammad Hasbi; Mochammad Anshori
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 1 (2024): JESICA Vol. 1 No. 1 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i1.5

Abstract

The song "Dangdut" is one of the most popular songs in Indonesia, having gained popularity from the 1960s until the present. It's even been acknowledged as authentic Indonesian music. There are both positive and negative effects on the pendengarnya of lagu dangdut. Positive dampening can lower stress levels, and negative dampening occurs when emotions are heightened. If this was brought up by a young child who was not yet fully grown, it would give them a hard time and negatively impact their journey. According to this framework, it is recommended that any eroticism in the lyrics of dance music be identified. It is therefore advised to look for signs of sexuality in the lyrics of dangdut songs. The intention is to restrict and filter the music that kids can listen to. Using LDA and QDA classifiers in conjunction with natural language processing is the suggested approach. According to research findings, LDA can identify more than QDA. The LDA examination yielded the following results: recall = 56.522%, accuracy = 56.522%, precision = 79.13%, and F1score = 65.942%. It has been demonstrated that discriminant analysis, particularly LDA, is useful for classification, as QDA has not shown itself to be the most effective method in this instance.
Development of Basic Finger Shapes Indonesian Traditional Dance Application Using Color-Based Hand Gesture Recognition Henokh Kristiawan; Wahyu Teja Kusuma; Risqy Siwi Pradini
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 1 (2024): JESICA Vol. 1 No. 1 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i1.6

Abstract

UNESCO stated that Indonesian traditional dance is a world cultural heritage that must be preserved and maintained. Efforts made by the government to preserve traditional dance are still not successful. Research shows that students have difficulty in learning traditional Indonesian dance exercises. Therefore, this study develops a solution that focuses on the difficulty of learning the basic finger postures in traditional Indonesian dances. This is important because fingers are instruments in dancing that have meaningful forms, such as Closed Urang Chopsticks, Nyempurit, Ngruji, Open Urang Chopsticks, Ke-pelan, Baya Mangap, and Ngithing. Learning the practice of basic finger postures aims to provide an independent learning experience through repetitive movements to strengthen or strengthen. This research has succeeded in making a real-time Color-Based Hand Gesture Recognition application for reliable Android devices. This is evidenced by applications that can function well in test scenarios with varying lighting and background conditions. Finally, students can learn the hand gestures of traditional Indonesian dances independently with ease. In addition, the application of the results of this research also contributes to becoming a learning medium in the current era of Blended Learning. Suggestions for future research are to increase the accuracy of Nyempurit and Ngithing attitudes.
Estimate Suicidal Rate in Indonesian based on Time Window using Linear Regression Javier Fajri Zachary; Mochammad Anshori; Wahyu Teja Kusuma
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 2 (2024): JESICA Vol. 1 No. 2 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i2.7

Abstract

The global phenomenon of suicide should be a serious source of worry. Suicide rates are still relatively high in Indonesia. According to the research, there are many different reasons why people commit suicide. Anyone can commit suicide, whether they are young children, teenagers, or adults. Preventive action is one way to avoid this. The prevalence of suicide can be used to gauge the level of preventive action. You may gauge how active you are in implementing the most effective prevention by looking at the predicted suicide rate in the future. Linear regression is one technique for predicting suicide rates. The time window (tw) method is also used to prepare the data because it is in time series form. The best regression model was tw = 5 with MSE = 0.001147, RMSE = 0.033869, and R2 = 0.981643 obtained for all rates. The model with tw = 3, which has errors of MSE = 0.001547, RMSE = 0.039334, and R2 = 0.969458, is the most accurate one for the female rate. Finally, with errors MSE = 0.00318, RMSE = 0.056392, and R2 = 0.973341, we arrive at tw = 5 for the male rate
Logistic Regression's Effectiveness in Feature Selection with Information Gain in Predicting Heart Failure Patients Mochammad Anshori; M. Syauqi Haris; Arif Wahyudi
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 2 (2024): JESICA Vol. 1 No. 2 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i2.8

Abstract

Heart failure is a chronic illness that obstructs blood flow, which is necessary for the body to circulate oxygen. Patients with heart failure have a poor chance of survival, as evidenced by the high death rate. The hospital's infrastructure and medical facilities determine the degree of patient safety, and the patients' medical records play a significant role in ensuring that they receive the right care. As a result, a system that uses specific data to forecast the safety of heart failure patients is required. Machine learning, a computer-based approach, is one way to get around this. The logistic regression algorithm has been used to generate predictions in earlier studies. The approach for feature selection from the dataset that is suggested in this study is information gain. You can filter features that are significant to the dataset in this way. In addition, selection can enhance machine learning efficacy by decreasing the dimensions of the data. Five features—time, serum creatinine, ejection fraction, age, and serum sodium—are the outcome of information gain. After that, predictions were made using logistic regression, and a data sharing ratio of 70% training data and 30% test data resulted in an accuracy of 0.8556. This demonstrates how feature selection with Information Gain can improve the accuracy of the logistic regression model and is a very effective method.
Design of an Inventory Information System at ITSK Soepraoen Using the Waterfall Method Nugroho Teguh Yuono; M. Syauqi Haris; Risqy Siwi Pradini
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 2 (2024): JESICA Vol. 1 No. 2 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i2.9

Abstract

In the current digital era, the use of information technology has become an urgent need for various institutions, including educational institutions. ITSK Soepraoen has integrated information systems in several units to increase operational efficiency. However, inventory data collection is still done manually using Microsoft Excel, which has proven to be less efficient and often causes delays in data processing. This research aims to design a website-based inventory information system at ITSK Soepraoen using the Waterfall method. This system is expected to facilitate data collection and management of inventory items as well as increase accuracy, transparency and efficiency in data processing. The research method used is the Waterfall approach which consists of four stages: requirements definition, system and software design, implementation, and testing. The result of this research is a lo-fi mockup of an inventory system that is well received by users with an acceptance rate of 92.75%. This percentage is relatively high so it can be concluded that the user accepts the design that has been created and for the next stage this inventory system can be fully implemented.
THE DISCRIMINANT ANALYSIS FUNCTION WAS IMPLEMENTED TO PREDICT THE PRESENCE OF DIABETES Herry Prasetyo Wibowo; Mochammad Anshori; M. Syauqi Haris
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 2 (2024): JESICA Vol. 1 No. 2 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i2.10

Abstract

Diabetes is a condition blood sugar concentrations are high and there is something wrong with insulin inside the body. A hormone called insulin controls the equilibrium of blood sugar concentration in humans. Diabetes has high-risk health, such as CKD, CVD, skin disease or even blindness. The reason people suffer from diabetes is caused of bad consumption habits. Some symptoms of diabetes are frequent urination and feeling hungry too quickly. Diabetes is sometimes difficult to diagnose, which is why it is also referred to as the silent killer. A preventive way is an early prediction of diabetes disease. This is very important to do. In this study, the discriminant analysis algorithm is used along with machine learning techniques. In this study, machine learning techniques are used. Its name is discriminant analysis algorithm. Two popular versions are linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA). This method is used because it is suitable for high-dimensional data and the discriminant analysis algorithm has minimal parameters. The discriminant analysis algorithm uses few parameters and this method appropriate for high-dimensional data. We'll compare the two approaches to find a way to demonstrate their dependability. Both approaches would be contrasted. Based on the result, QDA has the best performance. QDA can produce accuracy = 93.7%, TPR = 93.7%, precision = 94.3%, recall = 93.7% and F-measure = 93.9%. FPR of QDA is the lowest one, it is 1.02%. It means QDA has a small error in making predictions. Overall, based on the result QDA is the proven and proper method for detecting diabetes disease
Development of an Alokon Stock Management Information System Using a Lean Development Approach Risqy Siwi Pradini; Agus Widodo
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 2 (2024): JESICA Vol. 1 No. 2 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i2.11

Abstract

This study explores the development of an Alokon Stock Management Information System using the Lean Development approach to enhance the efficiency and effectiveness of stock management for contraceptive devices and drugs (alokon) distributed by the Women's Empowerment, Child Protection, and Family Planning Service in Indonesia. Alokon plays a critical role in family planning and reproductive health services. The research aims to address challenges such as inaccurate stock data, distribution delays, and the inability to meet demand promptly, which can disrupt health services. The Lean Development approach, emphasizing principles such as eliminating waste, strengthening learning, and delivering results quickly, was employed to create a responsive and adaptive system tailored to user needs. The resulting system incorporates features for managing alokon data, monitoring stock levels, and generating reports to ensure adequate stock availability and timely distribution. Evaluation of the system's usability was conducted using the System Usability Scale (SUS), involving ten respondents from the primary user groups. The average SUS score was 75, indicating a good level of usability. Users reported the system as comfortable and easy to use, although feedback highlighted areas for further improvement.

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