Claim Missing Document
Check
Articles

Implementasi Sistem Informasi Sekolah Berbasis WEB pada Muhammadiyah Boarding Lab School (MBLS) Kecamatan Setu Kabupaten Tambun Atika, Prima Dina; Kusmara, Hadi; Sugiyatno; Mukhlis
Journal Of Computer Science Contributions (JUCOSCO) Vol. 1 No. 1 (2021): Januari 2021
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jucosco.v1i1.457

Abstract

Teknologi Informasi membantu penyampaian informasi dalam bentuk visual baik secara elektonik maupun non elektronik (media cetak) yang di dalamnya mempunyai arti penyempurnaan pesan untuk dipublikasikan. media penyampaian sebuah pesan kepada peserta didik. Muhammadiyah Boarding Lab School adalah lembaga pendidikan sekaligus sebagai pesantren Ma’had Tahfizul Qur’an yang dibawah naungan Pempinan Daerah Kabupaten Bekasi sehingga untuk mempermudah penyampain informasi kepada wali santri yang saat ini mukim di pesantren Muhammadiyah pada tahap awal perlu dibuatkan WEB untuk keperluan diatas, selain itu untuk mempercepat. Adapun pembuatan media informasi selama ini untuk menyampaikan kepada wali santri sering terkendala karena sumber daya manusia (SDM), sehingga wali santri kurang dapat mengikuti perkembangan santri. Menjawab permasalahan tersebut maka dibuat Sistem Informasi WEB Sekolah. Kata kunci—Web; Pelatihan
Penerapan Sistem Aplikasi Pengelolaan Materi Pembelajaran Pada Yayasan Al-Mabrur Kabupaten Bekasi Fitriyani, Aida; Hendharsetiawan, Andy Achmad; Atika, Prima Dina; Sari, Rafika
Journal Of Computer Science Contributions (JUCOSCO) Vol. 2 No. 2 (2022): Juli 2022
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/cxp0v475

Abstract

Information technology that continues to grow rapidly, especially in the field of education, requires the parties involved to be able to adapt to technology. Especially in the last two years, Indonesia has experienced the Covid-19 Pandemic, which requires the teaching and learning process to be transformed into an online form, giving rise to many e-Learning platforms. Using e-Learning can help teachers and students monitor the activity of students in doing assignments, discussion forums or other activities. This online learning process was also carried out at the Foundation for Orphans and Dhuafa Al-Mabrur Kebalen, Bekasi Regency. To assist the Foundation in implementing e-Learning, this Community Service (PKM) program was carried out which aims to develop Learning Management System (LMS) software. This training is expected to meet several targets, namely being able to manage learning materials and being able to manage e-Learning participant accounts. From the results of the training on the use of Web-based applications, it shows that teachers find it helpful to monitor student activities in accessing online learning materials. The students have also been able to use this eLearning application well.
Pelatihan Pemanfaatan Software Pendukung Statistik Dalam Pengolahan Data Kuantitatif Bagi Guru-Guru SMA Herlawati, Herlawati; Atika, Prima Dina; Handayanto, Rahmadya Trias; Sumadyo, Malikus; Samsiana, Seta; Gunarti, Anita Setyowati Srie; Maimunah, Maimunah
Journal Of Computer Science Contributions (JUCOSCO) Vol. 2 No. 2 (2022): Juli 2022
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/79gqt343

Abstract

Teachers need additional knowledge of quantitative data processing using statistical support software because of the diverse educational backgrounds of teachers such as education science, management science, although there are also those whose educational background is mathematics and natural sciences (MIPA). In addition, the level of awareness of teachers to study statistics for processing quantitative data is still low and is considered less important. Solutions that can be given to this community service activity include organizing training on the use of statistical support software to provide understanding and skills in the use of such software, including Microsoft Ms.Excel and Matlab Mobile in an effective and efficient manner. This can be done through the mentoring process in this activity and will be followed by other advanced trainings. The results of this training, based on a survey using an online mentimeter, showed that it was very useful and the participants wanted to continue this training with the theme of using the Statistical Package for the Social Sciences (SPSS).
Pelatihan Penggunaan Sistem Aplikasi Manajemen Prospek Donatur Pada Panti Yatim Indonesia (PYI) Bekasi Hendharsetiawan, Andy Achmad; Fitriyani, Aida; Atika, Prima Dina
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 1 (2023): Januari 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/v1544x72

Abstract

Information technology is a series of computer-based systems that can assist business processes in making decisions that affect an organization so that the organization is able to face challenges in the current era. It is time for all activities and activities to also take advantage of the latest technology-based information systems. As part of the community in an effort to carry out one of the Tri Dharma of Higher Education in the form of community service. This community service activity aims to collect data on prospects for orphanage donors, namely in the form of Donor Prospect Management Application System Training at the Duta Harapan Indonesian Orphanage (PYI) Bekasi City Branch. Donor prospects are usually obtained from donor search activities or donor prospects who contact the orphanage. By using this application system, the management or management of donor prospect data will be much more efficient and effective, namely from recording and reporting as well as data analysis. This application system simultaneously records donor data, namely data on prospects for donors who have the status of being donors or paying infaq which is urgently needed by the orphanage. The results of this training activity are felt to be useful for the orphanage to increase insight and knowledge as well as ease in carrying out daily controls or supervision as well as being beneficial to the running of daily operations.
Pelatihan Pemanfaatan Software Pendukung Dalam Pembuatan Artikel Ilmiah Terpublikasi Bagi Guru-Guru SMA Herlawati, Herlawati; Atika, Prima Dina; Hendharsetiawan, Andy Achmad; Handayanto, Rahmadya Trias; Sumadyo, Malikus; Whidhiasih, Retno Nugroho; Ekawati, Inna; Irwan, Dadan; Haryono, Haryono
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 2 (2023): Juli 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/sgfq4k95

Abstract

Supportive software for scientific article creation is an application that assists in writing scientific articlesefficiently and effectively. This software features reference management, note-taking, text review, andformatting according to academic standards. The training to be provided will focus on creating scientificarticles using supportive software to enhance the competence of teachers in publishing their scientific articles.By understanding how to create scientific articles, high school teachers can improve their academic abilities,serve as positive examples for students, provide resources, and contribute to research and educationaldevelopment. This can help improve the quality of education and produce competent and skilled students. Theproposed solution is to organize training on the utilization of supportive software in scientific article creation.This training will provide understanding and skills in using software such as Mendeley and ChatGPT. Mendeleyis a reference management software that assists in collecting, managing, and storing references for scientificarticles. Additionally, Mendeley helps organize references according to various writing styles such as APA,MLA, Chicago, Vancouver, and IEEE. ChatGPT, on the other hand, is a natural language model that helpsgenerate structured and meaningful texts. In the context of scientific article creation, ChatGPT can assist informulating and organizing ideas or concepts, as well as providing suggestions or feedback for scientificwriting. Both of these software options can be chosen based on the needs and preferences of the writer. Theresults of this training, based on a survey using an online mentimeter, showed that it was very useful and theparticipants wanted to continue this training.
Penentuan Menu Potensial Menggunakan Algoritma K-Means Pada Titiksetara Coffee Bekasi Alviansyah, Mohammad; Atika, Prima Dina
Jurnal Riset Informatika dan Teknologi Informasi Vol 2 No 2 (2025): Desember 2024 - Maret 2025
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v2i2.161

Abstract

This study aims to identify potential customers and help local coffee entrepreneurs compete by offering products that customers desire, as well as address challenges in determining high‑potential menu items using the K‑Means algorithm. The data consist of TitikSetara Coffee’s revenue records from October 2023 through January 2024. RapidMiner software was used to perform clustering via the K‑Means algorithm. The sales data were grouped into three clusters: Cluster 0 for high‑potential menu items, Cluster 1 for medium‑potential menu items, and Cluster 2 for low‑potential menu items. Out of the 26 records analyzed, Cluster 0 contains 4 menu items, Cluster 1 contains 14 menu items, and Cluster 2 contains 8 menu items, with a Davies–Bouldin Index of 0.374. The identified high‑potential menu items can serve as a reference for TitikSetara Coffee, and it is expected that these recommendations will be well‑targeted.
Prediksi Perubahan Penggunaan Lahan dan Pola Berdasarkan Citra Landsat Multi Waktu dengan Land Change Modeler (LCM) Herlawati, Herlawati; Nidaul Khasanah, Fata; Dina Atika, Prima; Sari, Rafika; Handayanto, Rahmadya Trias
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5139

Abstract

Land use/cover greatly affect the quality of an area. Therefore, many regional planners need assistance byother fields, such as geoinformatics, computer science, environment, and others. Although prediction and forecasting have been widely studied, in regardto real conditions (geospatial)itstill needmoredevelopment, especially thoseinvolving a combination of regional types, such as urban and suburban areas. This study uses a remote sensing base and geographic information system in predicting land in the city and district of Bekasi, West Java, Indonesia. With two scenarios compared (business as usual and vegetation conservation), the model that has been created and validated (with an AUC accuracy result of 0.828) is used to predict land use change until 2030. Scenarios with vegetation conservation are able to keep green areas to switch to land types others, such as buildings and industry
Analisis Sentimen Pada Situs Google Review dengan Naïve Bayes dan Support Vector Machine Handayanto, Rahmadya Trias; Herlawati, Herlawati; Atika, Prima Dina; Khasanah, Fata Nidaul; Yusuf, Ajif Yunizar Pratama; Septia, Dwi Yoga
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i2.6280

Abstract

Tourism is the sources of income which is influenced by customer satisfaction. One way to know customer satisfaction is feedback, one of which is a review using an application. One of the feedback applications is Google Review. Such applications are have been widely used, for example in this study in this case study, Summarecon Mal Bekasi, can reach 60,000 comments. To find out the sentiment of the large number of comments, it is necessary to use computational tools. The current research applies sentiment analysis using the Naïve Bayes method and the Support Vector Machine. Data retrieval is done by web scrapping technique. Furthermore, the comment data is processed by pre-processing and labelling using the Lexicon dictionary. The process of applying sentiment analysis is carried out to determine whether the comments are positive or negative. In this study, the accuracy of the Naïve Bayes and Support Vector Machine methods in conducting sentiment analysis on the Summarecon Mal Bekasi review with a data of 2,143 comments with an accuracy for Naïve Bayes and Support Vector Machine 80.95% and 100% respectively. A Jason-style application is built to show the implementation in Flask framework. Keywords:
Digitalisasi Manajemen Sampah 3R Berbasis Mobile di Lingkungan Sekolah Sugiyatno Sugiyatno; Mega Wahyu Rhamadani; Ridwan Ridwan; Prima Dina Atika
Jurnal Bersama Pengabdian Kepada Masyarakat (SAMAMAS) Vol. 2 No. 1 (2026): Maret 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/samamas.v2i1.578

Abstract

Waste management in schools is an important effort to develop environmental awareness among students from an early age. However, many students still lack awareness and habits in identifying and recording the types and quantities of waste generated in their daily activities. Therefore, an educational medium based on digital technology is needed to support students in understanding and managing waste more effectively. This community service activity aimed to implement a mobile-based application for recording waste using the 3R (Reduce, Reuse, Recycle) principle in the school environment. The methods used in this program included socialization, environmental education, and demonstrations on how to use the application for students and teachers at Sekolah Islam Al-Azhar BSD@Cileungsi, Bogor Regency. The mobile application introduced in this activity provides several main features, including user registration and login, input of waste types such as organic, inorganic, and hazardous waste (B3), and daily waste data recapitulation. The results of the activity indicate that the implementation of the mobile application increased students’ understanding and awareness of waste management while encouraging active participation in applying the 3R principles within the school environment. In addition, the application helps organize waste recording more systematically and allows easier monitoring by the school management. Therefore, the implementation of a mobile-based waste recording application can serve as an innovative solution to support environmental education and improve waste management practices in schools.
Sistem Informasi Penjualan Mainan Menggunakan Algoritma Single Moving Average Berbasis Web Pada Rumah Hotwheels Karawang Muhammad Yazid; Dwipa Handayani; Prima Dina Atika
Journal of Students‘ Research in Computer Science Vol. 7 No. 1 (2026): Mei 2026
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/xwsvve27

Abstract

This study discusses the development of a web-based sales information system for Rumah Hotwheels Karawang by implementing the Single Moving Average (SMA) method to forecast inventory requirements. The system was developed to overcome problems related to manual transaction recording and inventory management. The application was developed using the Waterfall method and implemented with PHP and MySQL. Historical sales data were processed using the SMA algorithm to generate sales forecasts that support inventory management decisions. Black-box testing results showed that all system features, including inventory management, sales transactions, reporting, and forecasting, functioned according to user requirements. The system helps improve inventory management efficiency while reducing the risk of stock shortages and overstocking.
Co-Authors .S.T., M.Kom., Suhadi Abdu Malik AlHakim Afzil Ramadian Ahmad Fathurrozi Ahmad Fathurrozi Aida Fitriyani, Aida Aidah Afifah Hafshah Ajif Yunizar Pratama Yusuf Alif Izzuddin Ramadhan Almajid, Nafis Alviansyah, Mohammad Anita Setyowati Srie Gunarti Beno Aditya Sanusi Dadan Irwan Damar Wijati Dani Yusuf Dwipa Handayani Ekawati, Inna Endang Retnoningsih Fadia Amelia Putri Faisal Adi Saputra Farizal Salman Fata Nidaul Khasanah Fitria Nurapriani Galih Apriansha Pradana Gedhe Hilman Wakhid Gilby Lionska Wenas Haryono Haryono Hendharsetiawan, Andy Achmad Herlawati Herlawati Indah Dwijayanthi Nirmala Ira Wardani Ismaniah Ismaniah Joni Warta Julianto Khairunnisa Fadhilla Ramdhania Kusmara, Hadi Lestari, Panca Indah Maimunah Malikus Sumadyo Mamang Jhulianawati Mega Wahyu Rhamadani Mohamad Diandra Ferdiansyah Mugiarso Mugiarso Muhamad Galih Muhammad Akmal Dzulfiqar Muhammad Riky Sudrajat Muhammad Yazid Mukhlis Nabila Ramadhani Sari Nur Amanda Pratiwi Priatna , Wowon Prihatin, Sandy Satyo Rafika Sari RAFIKA SARI Rahmadya Trias Handayanto Rasim Rasim Rasyid Darusman Resty Nandya Retna Ayu Puspitasari Retno Nugroho Whidhiasih Rian Wijaya Ridwan Nurfauzi Ridwan Ridwan Rifky Putra Wijaya Rizky Alfiansyah Robertoi . Samuel, Federick Dedi Sandy Satyo Prihatin Sari , Rafika Septia, Dwi Yoga Septyo Saputro Seta Samsiana Seta Samsiana Shofa Shofia Siti Setiawati SITI SETIAWATI Sri Rejeki Sri Rejeki Sugeng Murdowo Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Syahbaniar Rofiah Tambun, Jerisman Jhon Wesli Tedi Ramadhan Tyastuti Sri Lestari Tyastuti Sri Lestari Yusuf, Ajif Yunizar Pratama Zaki Nur Fauzan