Matrix : Jurnal Manajemen Teknologi dan Informatika

Lighter as flame control and temperature control in milk pasteurization system

Rizky Alief Febriansyah, Weny Indah Kusumawati, Harianto, Pauladie Susanto — Wed, 29 Nov 2023 00:00:00 +0700

Milk pasteurization involves heating milk at a specific temperature below its boiling point as a method to keep the resulting dairy product retaining the shape and taste characteristics of fresh milk. In several experiments, the use of fuzzy control systems has been tested to regulate the temperature in the milk pasteurization process and to time the ignition of the stove flame. However, this fuzzy approach still causes the system to give an unstable response and irregular stove flame. In order to study milk pasteurization, the Low Temperature Long Time (LTLT) method is used which is implemented automatically through a PID control system. This method serves to maintain nutritional quality by keeping the pasteurization temperature at a setpoint of 62°C. This control involves the use of servo actuators and electric lighters that are automatically regulated with the help of flame sensors. The flame sensor detects the presence of flame and ensures that the flame remains lit throughout the pasteurization process. At the end of the process, the flame sensor plays a role in breaking the flame by setting a certain threshold. This sensor operates within 10 CM of the flame source and will produce an analog output with a maximum value of 4000 when the flame is lit. When the flame is extinguished, the analog output of the sensor will reach a value of 4095. Testing of the milk pasteurization automation system is given a value for each PID resulting from the value of Kp = 31.8, Ki = 115.6, Kd = 4.4 and obtained a rise time value of 0.39 minutes, 0.61%, settling min of 60.88, and settling max of 62.38.

Analysis distribution and segmentation of micro, small, and medium enterprises (MSMEs) in Kediri Residency Area: implications for local economic development

Wed, 29 Nov 2023 00:00:00 +0700

Micro, Small, and Medium Enterprises (MSMEs) are critical drivers of economic growth, especially in developing nations like Indonesia. This study focuses on the specific case of Kediri Residency, using 2018 data from the Central Bureau of Statistics of East Java Province to uncover insights for sustainable local economic development. Our methodology involved data acquisition, parsing, mining, filtering, and representation/ interaction. This process yielded a dataset of 168 data points, providing a nuanced view of MSMEs in Kediri Residency. Our analysis highlighted significant trends. Kediri Regency, for example, excelled in the Food and Beverage Industry (270 MSMEs) and Wood Industry (260 MSMEs). Blitar Regency thrived in the Wood Industry (235 MSMEs) and the Food and Beverage Industry (230 MSMEs). Tulungagung Regency showed strength in the Wood Industry (219 MSMEs). These findings have strategic implications for local economic development, such as sectoral strengthening, enhancing competitiveness, forming business clusters, and tailoring policies to MSMEs' unique needs. Comparing Kediri City to Kediri Regency and Blitar City to Blitar Regency revealed disparities and opportunities, highlighting the role of local policies and infrastructure in MSME development. In conclusion, our research provides actionable insights to formulate policies, develop infrastructure, improve financing access, and enhance skills training programs. These actions will catalyze MSME growth, promoting regional economic development and stability.

Analysis and design of UI and UX of the Taring application using goal-directed design and cognitive walkthrough methods

Abyudaya Tiyasa, Ni Kadek Ayu Wirdiani, Ni Kadek Dwi Rusjayanthi — Wed, 29 Nov 2023 00:00:00 +0700

Taring is a web-based application used for online administrative services for both Indonesian citizens and foreign nationals in the field of population administration. It is published by the Denpasar Population and Civil Registration Office. The taring application was released on June 8, 2020, and includes features such as managing Family Cards, e-IDs, Change of Residence Letters, and Legalization. Analysis and evaluation of the Taring application are necessary to improve usability, quality of use, and the provided information. This is achieved through the utilization of the Goal-Directed Design method and the Cognitive Walkthrough method in its process. The employed analysis and design method is Goal-Directed Design, which focuses on designing and developing interactive systems to make them more useful, with a focus on the diverse goals of the users. The evaluation methods used are the Cognitive Walkthrough and the System Usability Scale questionnaire, which assess usability and the application's usage based on observations of the users. The results of the Cognitive Walkthrough testing revealed 20 issues related to user interface and user experience, while the research findings indicated an increase in effectiveness and efficiency. The research also demonstrated an improvement in usability using the System Usability Scale method, with the score rising from 50.8 (E) to 88.9 (A).

The impact of ChatGPT on the critical thinking ability of UIN Sunan Kalijaga students

Muhammad Dedad Fajarsodiq Akastangga, Sri Harmonis, Rafi Alaudin Al Hafidz — Wed, 29 Nov 2023 00:00:00 +0700

This study aims to identify and analyze the impact of using ChatGPT, an artificial intelligence (AI) language, on students' critical thinking. The use of ChatGPT is becoming common at this time to get information and instant needs of students. However, the impact on critical thinking skills in students still needs to be studied. This research method uses quantitative methods. Giving questionnaires to a group of students who use ChatGPT is carried out online, data from this study is used to identify the impact of using ChatGPT on students' critical thinking levels. Using quantitative methods and online questionnaires, the study was able to collect relevant and detailed data on the impact of using ChatGPT. This makes it easier for researchers to identify data, as well as provide a deeper understanding of ChatGPT's influence on students' critical thinking. The results in the research we have done obtained 3.593 on the Likert scale. This shows that ChatGPT has a moderate effect on critical thinking skills. Dependence on the use of ChatGPT can reduce the level of critical thinking skills. Therefore, it is important to remember that although this study obtained positive results, the use of ChatGPT should be balanced with the development of independent critical thinking skills and critical evaluation of the information provided by the AI model.

Modelling spatio-temporal energy consumption from nighttime radiance satellite dataset

I Ketut Swardika, Putri Alit Widyastuti Santiary — Wed, 29 Nov 2023 00:00:00 +0700

National electricity consumption increases in line with continuous population growth and other socio-economic factors. The national electric power capacity goal develops largely for industrial manufacture and new settlement. The electrification- ratio on the target; is based on the accessibility of electricity services. The spatial distribution of electricity services coverage over the Indonesian territory is insufficient, particularly over the remote area that is out of electric services. Modeling by spatial (location) and temporal (year) to estimate electricity or energy consumption is necessary to develop using a low-light nighttime satellite dataset, therefore spatial boundaries can be accomplished. The modeling procedure starts by preparing the data frame of the independent variable input (amount of radiance) and the dependent variable output (the consumption of electricity or energy). The modelling method uses the curve-fitting approach where the indicator results by evaluating the R-square and RMSE values. The output model function is used to convert radiances into electrical power consumption units with a certain degree of accuracy. The selection of the input-output variable was achieved after variable analysis with the highest R-square outcome. Results indicate that the model functions in a polynomial form and correlations between variables are not simple. The selection of various model functions did not change the degree of correlation. The accumulative of energy radiances as independent variable input provides the optimum correlation result. The energy consumption from street lighting, in general, offers appropriate information that can be seen from satellites. The model function can be applied to a narrower spatial scale by input variable constraints.