COMPUTATIONAL THINKING INSTRUMENTS AS A PROBLEM-SOLVING METHOD IN OBJECT-ORIENTED PROGRAMMING MATERIALS IN VOCATIONAL SCHOOLS

This study aims to develop a Computational Thinking (CT) instrument on Object-Oriented Programming material as a tool for measuring the level of CT in the problem-solving abilities of Vocational High School students. The Plomp model of R&D analysis is used as a research flow. There are four stages of CT instrument development, namely 1) preliminary investigation stage, 2) design stage, 3) realization stage, and 4) evaluation stage. The research method uses a quantitative approach with statistical analysis. The research subjects were 35 Grade 10 students at SMK Negeri 11 Bandung. The findings show that PBO material is suitable for use as a medium for developing CT instruments. Based on the results of the material expert validation and the instrument showed very good results. The instruments developed have been tested for validity, reliability, level of difficulty, and discriminatory power. There were 80 out of 100 questions which were declared valid and reliable for use. The difficulty level of the instrument is in the easy category (46 questions) and medium (54 questions). Meanwhile, the differentiating power of the instrument was in the range of sufficient (17 questions), good (57 questions), and very good (10 questions). The CT instrument developed in this study has categories of 24 abstraction questions, 20 pattern recognition questions, 18 decomposition questions, and 18 algorithm design questions. With the completion of this instrument, it is hoped that it can assist teachers or researchers in measuring problem-solving abilities, especially students' CT abilities

COMPARISON OF DETECTION WITH TRANSFER LEARNING ARCHITECTURE RESTNET18, RESTNET50, RESTNET101 ON CORN LEAF DISEASE

The occurrence of diseases that impact the leaves of corn plants presents a substantial obstacle in agriculture, leading to a reduction in the overall yield of crops. This study aims to perform a comparative analysis of transfer learning methodologies by employing three distinct ResNet architectures: ResNet18, ResNet50, and ResNet101. The dataset utilized by the author consists of a compilation of images portraying corn leaves that demonstrate varying levels of disease severity. Transfer learning refers to leveraging a pre-existing ResNet model and retraining the network by employing the corn leaf dataset. The experimental results demonstrate that the ResNet18, ResNet50, and ResNet101 models achieved accuracy rates of 96.68%, 95.73%, and 95.26%, respectively. The ResNet101 model shows superior performance in terms of precision and recall metrics. This research indicates that utilizing a more complex and sophisticated network structure can improve the effectiveness of disease identification in corn plant leaves. The result above is essential in promoting sustainable agricultural methodologies and efficiently managing corn plant diseases

INTRUSION DETECTION SYSTEM FOR ZIGBEE-BASED IOT USING DATA ANALYSIS RULES

The market for Internet of Things (IoT) products and services has grown rapidly. It has been predicted that the deployment of these IoT applications will grow exponentially in the near future. However, the rapid growth of IoT brings new security risks and potentially opens new types of attacks for systems and networks. This article outlines various techniques for detecting known attacks in ZigBee-based IoT systems. We introduced an Detection System (IDS) specific for ZigBee using data analytics method, that are used to provide an accurate detection method for known attacks. This article looks at our IDS implementation covering a wide variety of detection techniques to detect known attacks ZigBee IoT systems

EXPERT SYSTEM FOR DIAGNOSIS OF DISEASES IN CAT USING THE NAIVE BAYES METHOD

Cats are animals that relieve stress. When a person spends time with a cat, the hormones serotonin, oxytocin and dopamine increase. One of the reasons why cats can relieve stress is purring, that has a frequency level of 25-50 hertz. But cats can also get sick. Researchers took the initiative to create an application to make it easier for users, to be able to diagnosed earlier. The purpose of this application was that it can be an option other than going to an expert, a good accuracy when compared to experts and providing the right solution. Making the application used the Naïve Bayes method as an analysis of cat data from expert sources that produced that symptoms produced appropriate disease with the solution. Implementation users starting from filling in biodata, symptoms, generating diseases and their solutions, and additional features such as disease info and messages. Meanwhile, admin requires a login to use the data management of symptoms, diseases, knowledge base, accounts and messages. The results of the application were explained from the results of the diagnosis which can detect the cats disease from the inputted symptoms, along with other disease options, with a disease comparison value of 91%

WEBSITE DESIGN OF BATAK TYPICAL DANCE PACKAGE DALIHAN NATOLU SIGAPITON STUDIO USING WEB ENGINEERING METHODS: Indonesia

Dalihan Natolu Sigapiton Studio is an art studio located in Sigapiton Village. This studio is one of the efforts to preserve the original village culture with native village teachers to make this dance pure, original that has been passed down from generation to generation. Many want to learn the original Batak dance which is known as the tor-tor dance from Sigapiton Village, however, the long distance makes it difficult for consumers to learn directly from the Dalihan Art Studio Natolu Sigapiton. The current problem is that there is no website or system that can help outsiders to learn traditional village dances. So it can be concluded that there are many wishes from the outside community to learn typical village dances, distance does not prevent them from learning. Based on previous research by Silvianti, Kiky Rizky Nova Wardani [1] entitled “UI Design UX Batak Dance Package at Website-Based Studio Dalihan Natolu Sigapiton Using the Design Thinking Method” has created a website design for Studio Dalihan Natolu Sigapiton. In this study, the aim was to design and build based on previous research by creating a website and adding features to become a Batak Dance Package Website for Dalihan Natolu Siapiton Studio Using the Web Engineering Method, which is a quality software development without spending a lot of money, based on the idea and the needs of the users

ANOMALY DETECTION IN ZIGBEE-BASED IOT USING SECURE AND EFFICIENT DATA COLLECTION

This article outlines various techniques for detecting types of attacks that may arise in ZigBee-based IoT system. The researchers introduced a hybrid Intrusion Detection System (IDS), combining rule-based intrusion detection and machine learning-based anomaly detection. Rule-based attack detection techniques are used to provide an accurate detection method for known attacks. However, determining accurate detection rules requires significant human effort that is susceptible to error. If it is done incorrectly, it can result in false alarms. Therefore, to alleviate this potential problem, the system is being upgraded by combining it (hybrid) with machine learning-based anomaly detection. This article expounds the researchers’ IDS implementation covering a wide variety of detection techniques to detect both known attacks and potential new types of attacks in ZigBee-based IoT system. Furthermore, a safe and efficient meth-od for large-scale IDS data collection is introduced to provide a trusted reporting mechanism that can operate on the stringent IoT resource requirements appropriate to today's IoT systems

DECISION SUPPORT SYSTEM FOR DETERMINING STUDENT ELIGIBILITY TO PARTICIPATE OF MBKM IN THE INFORMATICS STUDY PROGRAM USING AHP AND TOPSIS

To be able to have mastery of various sciences that are useful for experience in the world of work, students are encouraged through the MBKM program. Most students of the Informatics Study Program will choose an internship scheme and independent study in applying for the MBKM. However, the increasing number of students' interest in this program requires the Informatics Study Program to be more selective in analyzing the eligibility of students to take part in the MBKM program it has chosen. For this reason, a decision support system is needed that can assist the study program in determining and assessing the eligibility of these students. This study created a DSS modeling using the Analytical Hierarchy Process (AHP) method and the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) using 8 criteria

MITIGATION VOLTAGE SAG USING DVR WITH HYSTERESIS-ANN CONTROL ON DISTRIBUTION SYSTEM PUJON FEEDER LINE

This paper discusses the mitigation of voltage sag in distribution systems.  Voltage sag often occurs due to a single line-to-ground short circuit fault. The fault has a major impact on load damage in the Pujon feeder line. Voltage sag can be mitigated by using Dynamic Voltage Restorer (DVR). DVR is one type of custom device that is effective in overcoming voltage sag. DVR requires control in regulating voltage recovery on the Pujon line. This research proposes DVR control using Hysteresis combined with ANN to mitigate voltage sag on Pujon line. Simulation results show that the Hysteresis-ANN control is able to recover the load voltage in phase R on average by 97% due to voltage sag that occurs on the Pujon feeder line

THE THE EFFECTS OF PERCEIVED EASE OF USE, PERCEIVED SECURITY, AND PERCEIVED SATISFACTION ON INITIAL TRUST OF BRI MOBILE BANKING USERS (CUSTOMER STUDY IN SAMARINDA CITY)

The purpose of this study was to examine the effect of perceived ease of use, perceived security, and trust on customer satisfaction using BRI mobile banking in Samarinda. This study uses a quantitative approach to the type of associative research. The number of samples used was 96 respondents using the purposive sampling method. The criteria for respondents in this study were BRI customers who are domiciled in the city of Samarinda and are over 18 years old and have been using BRI mobile banking for the last 6 months. The analysis technique used is data quality test, classic assumption test, multiple linear regression test, and hypothesis testing which is processed using the SPSS version 22 application. From the test results it is known that perceived security and perceived satisfaction have a positive and significant effect on the initial trust of BRI mobile banking users both partially and simultaneously, while perceived ease of us does not have a partial significant effect on the initial trust of BRI mobile banking users. So it can be concluded that perceived security and perceived satisfaction affect the initial trust level of BRI mobile banking customers

IMPLEMENTATION OF FUZZY MEMBERSHIP FUNCTION TO DETERMINNE AUTOMATIC WATERINNG TIME

Global warming impacted to agriculture, thereby affecting the world's food supply. UNICEF calls on every country to be able to meet its food needs independently. Indonesia, as an agricultural country, has the potential to meet food needs independently. One effort that can be made is to combine existing agricultural systems with technology through the application of IoT. In this research, it was applied to citrus plants using DHT11 temperature and air humidity sensors and soil moisture sensor YL69. Data processing uses a fuzzy algorithm approach, using two input variables, namely temperature and humidity variables and soil moisture variables. Meanwhile, the resulting output variable is the time for watering the plants. At the fuzzification stage, each variable is grouped into three memberships. For temperature and humidity variables are divided into hot, medium and cold membership. Soil moisture variables are divided into wet, medium and dry membership. And the time variables consists of short, medium and long time membership. In the defuzzification stage, it is calculated by calculating the center of area value for each graphic area resulting from the fuzzification stage. Furthermore, to test the system, the testing carried out resulted in an error value of 5.19 percent. Based on test and trial that be done, the result shows that average volume of water that flows every second when watering plants is 36.5 ml per second