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All Journal KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak Narada : Jurnal Desain dan Seni Jurnal Informatika Terpadu Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Sistem Informasi dan Teknologi (SINTEK) AMMA : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Umi Hayati
STMIK IKMI Cirebon
Arts Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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Analisis Sentimen Komentar Pengguna Youtube terhadap Kebijakan Baru Badan Penyelenggara Jaminan Kesehatan Sosial Menggunakan Naïve Bayes Muhamad Taufik Sugandi; Martanto Martanto; Umi Hayati
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10301

Abstract

Many social media platforms are used by the public to express opinions and seek information. YouTube is a media sharing site, a kind of virtual entertainment for sharing video and audio media. YouTube has become one of the most popular video viewing platforms today. There are various topics discussed in YouTube videos, one of which is the discussion about the new policy of removing class 1, 2, and 3 systems and replacing them with the Standard Inpatient Class (KRIS) system in the Social Security Administrator (BPJS) for Health. Health is also a very important issue and is still a topic that is frequently discussed everywhere and anytime. BPJS for Health greatly helps the public in overcoming the declining economy, with the existence of BPJS for Health the public does not need to pay for medical expenses. Therefore, sentiment analysis will be conducted on the services provided by BPJS for Health to determine whether public opinion about BPJS is positive, neutral, or negative. The algorithm used is Naïve Bayes. In this sentiment analysis, 2,968 datasets were crawled from YouTube using several keywords related to BPJS for Health. Based on the research results using the Naïve Bayes algorithm, the highest accuracy of the model on the test data reached 96% with a ratio of 80:20. This indicates that the model is capable of classifying sentiment in comments well. This study is dominated by positive sentiment comments at 45.9% or 1,354 data out of a total of 2,948 comment data, indicating strong support for the new policy and many who are very helped by the services of BPJS for Health.
Analisis Sentimen Review Hotel Menggunakan Metode Naïve Bayes pada Hotel di Wilayah Kota Cirebon Muhamad Jihad Andiana; Martanto Martanto; Umi Hayati
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10312

Abstract

Cirebon, a city in West Java, Indonesia, is known for its various tourist attractions, including culinary and historical sites. However, finding the right accommodation can be a challenge. To address this issue, a study has analyzed 875 hotel reviews in Cirebon from Google Maps, using the Naive Bayes method and the TF-IDF algorithm. The aim of this study is to help tourists get a better picture in choosing a hotel. The results show that this algorithm successfully achieved an accuracy of 90.52% in identifying whether the review was positive or negative. Even without the use of the SMOTE operator, the accuracy remains high, at 75.66%. So, this study provides a data-based solution for choosing a hotel in Cirebon.
Clustering Status Gizi Balita menggunakan Metode K-Means pada Posyandu Desa Mekar Wangi Muhamad Djaelani; Martanto Martanto; Umi Hayati
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10321

Abstract

The health of children under five is very important in the development of a country. Toddler nutrition is a key aspect in ensuring the healthy growth and development of children. This study aims to analyze the clustering of nutritional status of toddlers in Mekar Wangi village using the K-Means algorithm. Clustering analysis is a data mining analysis method that is influenced by the clustering algorithm method. The nutritional status of toddlers at the posyandu in Mekar Wangi Village is grouped based on certain metrics, such as body weight and height, using the K-Means Clustering technique. Data contains a lot of attribute information. Once the data is collected and analyzed, pre-processing is performed to remove invalid and empty data. The results of the clustering analysis show that some groups of toddlers have normal nutritional status, while other groups have less or more nutritional problems. The optimal Davies Bouldin Index (DBI) performance evaluation value was found using the RapidMiner tool with K2 and the value of 0.164 which is close to 0 indicates that the evaluated cluster produced a good cluster. With a better understanding of the nutritional patterns of toddlers in Mekar Wangi Village, Posyandu officers can developing a more efficient program to improve the nutritional quality of children in Mekar Wangi Village. Posyandu officers can assist in decision making to develop more targeted recommendations and interventions to improve the nutritional status of toddlers in Mekar Wangi village.
Analisis Sentimen Pengguna Youtube terhadap Polemik Pelarangan Tiktok Shop menggunakan Algoritma Naive Bayes Muhamad farhan Tholhah hidayat; Martanto Martanto; Umi Hayati
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10313

Abstract

Youtube and TikTok are creative platforms for creating videos and interacting with users. In addition to its function as a creative platform, TikTok Shop has recently emerged as a new breakthrough in the world of e-commerce because it can combine social media and e-commerce in one platform. TikTok Shop has become controversial as it disrupts micro, small, and medium-sized enterprises (MSMEs). Due to this controversy, the Indonesian government, through the Ministry of Home Affairs under the instruction of the President of Indonesia, has officially prohibited the use of TikTok as an e-commerce platform and limited it to only being a social media or social commerce application, leading to controversy turning into polemics. This has elicited various reactions from TikTok users, MSMEs, the general public, sellers, and TikTok Shop customers. Therefore, a method is needed to classify reviews automatically by conducting sentiment analysis. In this study, 4403 comment data from one CNN YouTube content titled 'TikTok Shop Banned? Ministry of Cooperatives and SMEs: If Not Regulated, Our MSMEs Could Collapse' were collected. This research applied the naïve Bayes algorithm with a qualitative and quantitative integration method and used the Knowledge Discovery in Databases (KDD) approach and confusion matrix evaluation. The data were divided into training and test sets using four schemes: first scheme 90-10, second scheme 80-20, third scheme 70-30, and fourth scheme 60-40. After evaluating the third scheme with a 70-30% data split, it achieved the best accuracy with a 94% accuracy rate of the test data in the naïve Bayes confusion matrix, which is the percentage of successfully predicted data. Furthermore, the Recall value was 96%, Precision 98%, and F1-Score 96%. This indicates that the model has a high level of accuracy for all training and test data.
Pemanfaatan MATLAB Untuk Optimalisasi Penelitian Teknik Dan Sains Bagi Dosen Kopertip Indonesia Ryan Hamonangan; Umi Hayati; Achmad Luthfi; Ahmad Haekal Susanto
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 4 : Mei (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Optimizing the use of MATLAB in engineering and science research is an important aspect for lecturers in improving the efficiency and effectiveness of data analysis and numerical modeling. MATLAB is a numerical computing-based software that has various functions in data processing, numerical analysis, and simulation of complex systems. This study aims to evaluate the level of utilization of MATLAB by Kopertip Indonesia lecturers and identify the challenges faced in its implementation. The methods used in this study include surveys and interviews with lecturers who have used MATLAB in their research. The results show that most lecturers understand the potential of MATLAB in improving the accuracy of their research, but there are obstacles such as lack of training, license limitations, and complexity in advanced programming. Therefore, continuous training and the provision of adequate resources are needed to optimize the utilization of MATLAB. With the increased use of MATLAB in engineering and science research, it is expected to improve the quality of academic research and scientific publications produced by Kopertip Indonesia lecturers.
Pelatihan Keamanan Siber Dasar Untuk Pelajar Dan Guru Di Sekolah Menengah Tati Suprapti; Umi Hayati; Alwan Azhar; Andi Ardiansyah
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Cybersecurity is an effort that aims to protect computer systems, networks, software, and data from various digital threats such as hacking, malware, phishing, ransomware, and other attacks that can cause both material and non-material losses. In the rapidly growing digital era, especially in educational environments such as secondary schools, awareness of the importance of cybersecurity is crucial. Students and teachers who use digital devices in the teaching and learning process are often easy targets for cyber criminals who are looking for loopholes to exploit security vulnerabilities. A basic understanding of cybersecurity needs to be instilled in students and teachers so that they can identify potential threats and implement appropriate preventive measures. This article aims to provide practical guidance in recognizing common types of cyber threats, such as phishing attacks that masquerade as legitimate sites or messages, malware that infiltrates through infected software, and ransomware attacks that encrypt data for ransom. In addition, the article also outlines a number of prevention strategies that students and teachers can implement, including the use of strong passwords, regular software updates, and managing privacy on social media. By understanding the basic concepts of cybersecurity and adopting best practices in protecting digital data and devices, it is hoped that students and teachers can reduce the risks that may arise from unsafe digital activities. Furthermore, effective cybersecurity implementation can create a safer and more conducive learning environment for all parties involved.
Peningkatan Literasi Keuangan Keluarga Melalui Penggunaan Aplikasi Keuangan Digital Umi Hayati; Willy Prihartono; Andre Setiawan; Arief Ilham Syahputra
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Improving family financial literacy is an important aspect of sustainable and healthy financial management. Technological advances have enabled the use of digital financial applications as a tool in improving families' understanding and skills in managing finances. This study aims to analyze the effectiveness of digital financial application education in improving family financial literacy. The research method used involves a qualitative approach with interview and observation techniques for families who use digital financial applications. The results showed that education on the use of digital financial applications contributed to increasing awareness of the importance of more systematic financial management. In addition, the use of digital financial applications helps in financial recording, budget planning, and controlling household expenses. Challenges faced in implementing digital financial applications include limited access to technology, lack of understanding of application features, and resistance to change in financial management habits. Thus, a more comprehensive education strategy and continuous assistance are needed to ensure the successful use of digital financial applications in improving family financial literacy. Translated with DeepL.com (free version).
Peningkatan Kompetensi Guru melalui Pelatihan Google Workspace dalam Pembelajaran Digital Tati Suprapti; Umi Hayati; Abdul Hakim; Abdul Mukhyidin
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 04 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The development of information and communication technology (ICT) requires the world of education to adapt, especially in the learning process. Teachers as the frontline in education must have competence in utilizing ICT, one of which is through the use of Google Workspace. This study aims to improve teachers' competence in utilizing Google Workspace through training activities. The method used is training with a participatory approach and hands-on practice. This activity was carried out in the form of workshops attended by teachers from various levels of education, focusing on the utilization of Google applications such as Google Classroom, Google Drive, Google Docs, and Google Meet. The results of the activity show an increase in teachers' understanding and skills in operating Google Workspace, which has an impact on increasing the effectiveness of online and offline learning. This training also encourages teachers to be more creative in preparing teaching materials, managing digital classes, and building better interactions with students. The conclusion of this activity is that training on the use of Google Workspace is effective in improving teacher competence in the use of learning technology. It is expected that similar activities can be carried out in a sustainable manner to support digital transformation in education.
Penyusunan Laporan Keuangan Sederhana Berbasis Excel untuk Usaha Mikro Umi Hayati; Willy Prihartono; Agung Saeful; Agung Triyono
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 04 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Micro businesses are the backbone of the Indonesian economy, but there are still many micro businesses that do not have the ability to keep good and systematic financial records. The main problem faced is the lack of understanding of the importance of financial statements as well as limitations in the use of complex accounting technology. This service activity aims to increase the capacity of micro business actors in preparing simple financial reports by utilizing Microsoft Excel. The program is conducted through face-to-face training, hands-on practice, and intensive mentoring. The training materials include basic introduction to accounting, making profit and loss statements, cash flow statements, and using Excel templates that have been prepared by the team. The methods used included group discussions, case studies, simulations, and evaluation of results. The results of the activities showed that the partners experienced a significant improvement in their understanding and financial recording skills. Some partners have implemented daily transaction recording and are able to prepare financial reports independently. In addition, awareness of the importance of financial management for business sustainability also increased. Future recommendations include the need for further training, development of digital-based financial recording applications, and collaboration with financial institutions to access funding. This activity proves that with the right approach, micro-entrepreneurs can be encouraged to be more professional in managing their finances, thus increasing their competitiveness and business sustainability amidst dynamic economic challenges.
Penerapan Algoritma K-Means Clustering Untuk Mengelompokan Siswa SMK Al-Ma’rifah Berdasarkan Kehadiran Dila Nurhafidilah; Nana Suarna; Agus Bahtiar; Umi Hayati; Fatihanursari Dikananda
Jurnal Sistem Informasi dan Teknologi Vol 6 No 1 (2026): Jurnal Sistem Informasi dan Teknologi (SINTEK)
Publisher : LPPM STMIK KUWERA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56995/sintek.v6i1.212

Abstract

Penelitian ini bertujuan untuk mengelompokkan siswa SMK Al-Ma’rifah berdasarkan pola kehadiran menggunakan algoritma K-Means Clustering. Data yang dianalisis merupakan catatan kehadiran siswa tahun ajaran 2023/2024 yang meliputi jumlah hadir, izin, sakit, alfa, dan persentase kehadiran. Tahapan pra-pemrosesan data dilakukan melalui pembersihan dan normalisasi sebelum proses clustering. Penentuan jumlah klaster optimal menggunakan Elbow Method dan Silhouette Coefficient menunjukkan bahwa tiga klaster merupakan struktur terbaik. Hasil pengelompokan menghasilkan tiga kategori siswa, yaitu sangat disiplin, cukup disiplin, dan kurang disiplin. Evaluasi kualitas klaster menggunakan Silhouette Score dan Davies–Bouldin Index menunjukkan pemisahan klaster yang baik. Penelitian ini membuktikan bahwa K-Means Clustering efektif dalam mengidentifikasi pola kehadiran siswa dan  dapat mendukung pengambilan keputusan sekolah berbasis data dalam meningkatkan kedisiplinan siswa.
Co-Authors Abdul Hakim Abdul Mukhyidin Achmad Luthfi Agung Saeful Agung Triyono Ahmad Haekal Susanto Alwan Azhar Andi Ardiansyah Andre Setiawan Arief Ilham Syahputra Arif Rinaldi Dikananda Cep Lukman Rohmat Dessy Angelina Dila Nurhafidilah Dodi Solihin Edi Wahyudin Fathurrohman Fatihanursari Dikananda Gifthera Dwilestari Heliyanti Susana Iin Irfan Ali Kaslani Martanto . Miftahul Akbar Mohamad Ripai Muhamad Djaelani Muhamad farhan Tholhah hidayat Muhamad Jihad Andiana Muhamad Taufik Sugandi Muhammad Hasan Fadlun Muhammad Saifurridho Mulyawan Nana Suarna Nining Rahaningsih Nova Nur Sakbani Puspita Maulana Arumsari Raditya Danar Dana Rahayu Arumsari Rosdiana Rosdiana Ruli Herdiana Ruli Herdiana Ryan Hamonangan Ryan Hmonangan Shalsa Fadillah Rahmadenta siti azhar Siti Latifah Tati Suprapti Willy Prihartono Wita Widyawati