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DIGITAL TRANSFORMATION IN INDONESIA: IS IT ELDERLY-FRIENDLY? Mochamad Taufiqurrochman Abdul Aziz Zein; M. Khanif; Safiq Rosad; Ninik Agustin
PROCEEDING AL GHAZALI International Conference Vol. 1 (2023): INCLUSIVENESS, DIGITAL TRANSFORMATION, AND RENEWABLE ENERGY FOR A BETTER FUTURE
Publisher : Universitas Nahdlatul Ulama Al Ghazali Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52802/aicp.v1i.803

Abstract

The acceleration of digital transformation in Indonesia has led to an increase in the country's Digital Competitiveness ranking, now at 45th in the world. However, it is important to further examine the community aspect of digital transformation in Indonesia, particularly in terms of digital readiness. The senior or elderly population is one group that is vulnerable in this regard. The objective of this study is to investigate the state of digital transformation in Indonesia, with a focus on the elderly population's digital readiness. The research employed the semi-systematic literature review method and the Publish or Perish application. The data collected was not computer-based or related to information systems for seniors or the elderly population. Instead, it was based on articles and papers collected from Scopus, Crossref, and Google Scholar journal databases. The research results indicate that digital transformation in Indonesia is a compelling topic. The Scopus, Google Scholar, and Crossref indexes contain 46, 185, and over 1000 articles on this theme, respectively. However, researchers in Indonesia have not studied the engagement and attention to seniors or the elderly population.
College Department Recommendation Expert System Web-Based Using Certainty Factor Method Hasannah, Kholifatun; Agustin, Ninik; Aziz Zein, Mochamad Taufiqurrochman Abdul
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4212

Abstract

The choice of college major is an important decision that each prospective student must take. In the decision-making process, a genuinely accurate source of information is usually needed to avoid mistakes for prospective students when determining the college major they will take. This study implemented the certainty factor method in a website-based college central recommendation expert system to minimize and avoid these mistakes. This study uses the certainty factor method to calculate the level of confidence and uncertainty of each recommendation result given by the expert system. This system will use predetermined rules to connect input and output to provide results that match the input from the user. Based on this process, prospective students will then obtain the appropriate college major recommendation results; in this study, the recommendations are based on the types of intelligence. This study aims to help solve existing problems by building an expert system to provide colleges with significant recommendations and by implementing the certainty factor method to determine the output results of recommendations from the system. This study produces a "College Major Recommendation Expert System (SIPAREK)" to help determine college majors that suit each interest to minimize the risk of mistakes in choosing a college major. In this study, the accuracy value of the recommendation results by applying the certainty factor method was 80%; from this value, it can be concluded that the certainty factor method can work well to provide recommendations for college majors in the system created.
College Department Recommendation Expert System Web-Based Using Certainty Factor Method Hasannah, Kholifatun; Agustin, Ninik; Aziz Zein, Mochamad Taufiqurrochman Abdul
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4212

Abstract

The choice of college major is an important decision that each prospective student must take. In the decision-making process, a genuinely accurate source of information is usually needed to avoid mistakes for prospective students when determining the college major they will take. This study implemented the certainty factor method in a website-based college central recommendation expert system to minimize and avoid these mistakes. This study uses the certainty factor method to calculate the level of confidence and uncertainty of each recommendation result given by the expert system. This system will use predetermined rules to connect input and output to provide results that match the input from the user. Based on this process, prospective students will then obtain the appropriate college major recommendation results; in this study, the recommendations are based on the types of intelligence. This study aims to help solve existing problems by building an expert system to provide colleges with significant recommendations and by implementing the certainty factor method to determine the output results of recommendations from the system. This study produces a "College Major Recommendation Expert System (SIPAREK)" to help determine college majors that suit each interest to minimize the risk of mistakes in choosing a college major. In this study, the accuracy value of the recommendation results by applying the certainty factor method was 80%; from this value, it can be concluded that the certainty factor method can work well to provide recommendations for college majors in the system created.
Real Time Smart Trash Bins Monitoring System Using Fuzzy Logic Method in Kuripan Village Nugroho, Dwi Septiyan; Rosad, Safiq; Agustin, Ninik
Journal of INISTA Vol 6 No 1 (2023): November 2023
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v6i1.1392

Abstract

The rise of electronic technology has transformed people's lifestyles, and they now want convenience, automation, and flexibility, including when it comes to keeping the environment clean by disposing of rubbish where it belongs. However, despite the importance of this issue, awareness of the need to dispose of waste in its proper place remains low. Additionally, garbage bin supervision in Kuripan Village is still manual, exacerbating the problem of waste accumulation caused by the increasing population. To address this issue, we developed an IoT-based system that utilizes the Fuzzy Logic method. This mathematical approach enables the modeling of uncertainty in data processing. The system allows for real-time monitoring of the garbage load level, notifying staff when action is required. The Fuzzy Logic method is then used to determine the appropriate action based on the garbage load level and the last cleaning time. This research involves developing a prototype that uses NodeMCU ESP8266, HC-SR04 ultrasonic sensor, and LCD for data monitoring. The sensor testing demonstrated an accuracy of approximately 96.7%. The system includes an application interface with a login page, main dashboard, volume dashboard, and time dashboard.
EVALUATION EXECUTION TIME FEATURES OF SIMPATI WEB-BASED MONITORING AND EVALUATION APPLICATION USING AUTOMATION TESTING Arifin, Nur; Agustin, Ninik; Anggoro, Tri
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2158

Abstract

One of the data collection methods employed in monitoring and evaluation is a survey. The advantages of information technology-based surveys include a reduced risk of data loss and the ability to access the survey system from any location. Consequently, it is imperative to devise a web-based monitoring and evaluation system. In this study, the monitoring and evaluation system was developed using an Agile methodology and implementing automation testing. The Agile development method was utilized to create this application through the stages of design, development, testing, deployment, and feedback. The system was developed using the PHP programming language and the MySQL database. Automation testing was conducted using Katalon Studio. The design and implementation of the web-based SIMPATI application resulted in a system capable of monitoring and evaluating higher education with main features such as multi-user support, online surveys, a real-time database, and data visualization. Automation testing using Katalon Studio demonstrated that all features in the system run well and are stable. However, there is a discrepancy in the execution time for each test case. This discrepancy is attributed to the intricacy of the test cases and external factors such as system load, server performance, and network conditions. The fastest execution time for the login feature is 11 seconds, while the longest execution time for the add new user feature is 4 minutes and 29 seconds. In conclusion, automation testing in web-based system development employing agile methods can assist in the rapid and repeatable evaluation of system performance.
Utilizing an Interactive Website for Elementary School Students to Learn about the Universe Agustin, Ninik; Khanif, M.; Abdul Aziz Zein, Mochamad Taufiqurrochman; Rosad, Safiq; Martanti, Martanti; Azizaturrohmah, Nofriani; Prasetyo, Aldika Gagah; Zhalifunnas, Nicky Atikah
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 1 (2024): Volume 5, Nomor 1, March 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i1.3990

Abstract

Students in 6th-grade MI Ya BAKII Kesugihan 01 are not well informed about websites and using interactive websites to support their studies. One of the interactive websites is The Scale of The Universe. The website contains one of the materials at school that already being recognized by students, such as science material of the universe subchapter. This community services intended to improve the ability of 6th-grade students of MI Ya BAKII Kesugihan 01 to use interactive web technology and increase students' interest in studying through technology. This community service activity implemented through four phase which are the pre-implementation, the implementation, the monitoring and evaluation, and the post-service phase. The training conducted for the participants used the interactive website "The Scale of The Universe" which has interactions such as zoom-in and zoom-out sequentially to compare the size of objects in the universe, including interactions by clicking an objects to get their descriptions. In addition, there are click and voice control features that help to increase user interest. The results of the training showed three indicators of improvement. There was a 24% improvement in elementary school students' understanding of the difference between computers that are connected or not to the internet. There was an 8% improvement in elementary school students' knowledge of what a website is. Also, there was a 26% improvement in the ability to access the website.
Time Series Visualization (TSV) of Earthquakes in The Cilacap and Surrounding Earthquake Active Zone using QGIS And USGS Data Set Agustin, Ninik; Kurniasih, Nani
SAINTEKBU Vol. 15 No. 02 (2023): Vol. 15 No. 02 August 2023
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Earthquakes in Cilacap often occur with a strength above 5 SR or with a smaller strength. This condition means that earthquake research in the Cilacap area will always be needed. This study aims to display a visualization of the time series of earthquakes in the Cilacap area using QGIS and the USGS dataset. The data set used is the earthquake data set around the Cilacap area from USGS with a time span from 1918 to 2021. The data boundaries of this study are Latitude 7.324˚, Longitude 107.941˚, and Latitude -10.407˚, Longitude 111.116˚. The results of spatial data visualization using the heatmap technique are then analyzed temporally using the Temporal function in the QGIS software. The results of the temporal analysis with frames per year produce 104 frames. Visualization of earthquake data in a time series can show changes in the pattern of earthquake magnitude density and show changes in the geographical location of earthquake points from year to year.
Earthquakes time series visualization in cilacap earthquake zone using QGIS and USGS data sets Ninik Agustin; Nani Kurniasih; Mochamad Taufiqurrochman Abdul Aziz Zein
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 10 No 2 (2023): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v10i2.463

Abstract

Cilacap region earthquakes often occur with more than 5 Richter Scale. With these seismic conditions, earthquake studies in the Cilacap region will always be needed. These studies usually only have output in form of map visualization spatially, however, they have not been compiled in a time series. This study attempts to include visualization of spatial data in the form of a time-series. The data visualization was presented in form of graphs and maps. Graphical visualization using line bar graph type by applying descriptive statistics tries to determine the earthquake’s magnitude fluctuation. The other visualization in form of Heatmap map analysis applying the Kernel Density method is interpolated earthquake magnitude spatial data. The data used in this research was retrieved from the USGS datasets between 1918 to 2021. The spatial boundaries were taken from -7.324 ˚S, 107.941˚E to -10.407˚S, 111.116˚E. The results of spatial data visualization using the heatmap techniques were then analyzed temporally using the Temporal function in the QGIS software. The results of temporal analysis within a year are then sequenced into a video which is displayed on the following link https://youtu.be/m3B7HkfI8qY. The descriptive statistical analysis shows that Earthquakes have magnitudes ranging from 3.3 to 7.58 with a mean of 4.58 and a mode of 4.4. Heatmap analysis shows the results of earthquake magnitude interpolation with high density, located in the south of Cilacap and south of Yogyakarta. Also, the spatiotemporal analysis results show that there is a change in location trends that have high earthquake magnitude density values
Implementation Of Term Frequency-Inverse Document Frequency (TF-IDF) Algorithm On Halal Network International (HNI) Product Search Feature Annud Auliani Hasanah; Ninik Agustin; M.Khanif
Jurnal Sains Informatika Terapan Vol. 4 No. 3 (2025): Jurnal Sains Informatika Terapan (Oktober, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i3.587

Abstract

Halal Network International (HNI) products already have around 100 products which are divided into three categories, namely Herbs Products, Health Food & Beverages, and Cosmetics & Home Care. These products are published through an electronic catalog that provides product information and search features to facilitate users. The mismatch between keywords and product descriptions causes the search to fail to display relevant results. To overcome this problem, the Term Frequency-Inverse Document Frequency (TF-IDF) algorithm is implemented in the search feature. This algorithm is used to calculate the weight of each word in the product description and determine the relevance of the keywords entered by the user. The system is built with React.js framework on the frontend, Node.js on the backend, and PostgreSQL as the database. Based on the test results, the average precision value is 71%, recall 85% and accuracy 73%. These results show that the TF-IDF algorithm is effective in improving the relevance of product search results.
Analisis USE Questionnaire Pada Platform Diskusi MaThec (Mathematics and Technology) Nofriani Azizaturrohmah; Ninik Agustin; Tri Anggoro
JURNAL TECNOSCIENZA Vol. 9 No. 1 (2024): JURNAL TECNOSCIENZA
Publisher : JURNAL TECNOSCIENZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/js07js20

Abstract

Pesatnya perkembangan teknologi informasi berdampak signifikan pada pembelajaran mahasiswa, diantaranya penggunaan platform diskusi online sebagai e-learning, memfasilitasi pertukaran ide dan pemahaman di kalangan mahasiswa pada topik kompleks. Namun, masih sedikit platform yang dirancang khusus untuk mendukung diskusi intensif tersebut. Oleh karena ini, diperlukan dikembangkan sebuah platform diskusi yang mudah diakses mahasiswa darimana saja serta dapat memfasilitasi interaksi dan pengaturan penulisan kompleks. Penelitian ini bertujuan membangun dan menganalisis kebergunaan platform diskusi "MaThec" (Mathematics and Technology) menggunakan framework ReactJs untuk front-end, ExpessJS dan PostgreSQL untuk back-end, serta USE Questionnaire untuk analisis evaluasi kebergunaan. Pendekatan pengembangan sistem menggunakan Agile Scrum dengan tahapan requirement, design, development, testing, dan deployment. Setelah tahapan pengembangan selesai, dilakukan evaluasi USE Questionnare pada 80 pengguna platform MaThec (https://mathec.site/) yang telah mendaftar dan menggunakan platform dengan minimal melakukan satu kali post pertanyaan ataupun jawaban. Evaluasi diakses pengguna secara langsung di plaform MaThec, halaman kuisioner muncul setelah post di-submit oleh pengguna. Evaluasi dengan USE Questionnaire bertujuan untuk menggambarkan kebergunaan, kemudahan penggunaan, dan kepuasan pengguna. Hasil evaluasi USE Questionnaire memiliki skor komponen usefulness 86.78%, ease of use 87.39% ease of learning 88.31%, dan satisfaction 88.86%. Hal ini menunjukkan bahwa platform MaThec sangat layak karena memiliki skor di atas 81%.