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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal F. Teknik : RESULTAN Paradigma : Journal of Science, Religion and Culture Studies TELKOMNIKA (Telecommunication Computing Electronics and Control) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JREC (Journal of Electrical and Electronics) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Cakrawala : Jurnal Humaniora Bina Sarana Informatika Bina Insani ICT Journal Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Jurnal Komtika (Komputasi dan Informatika) Jurnal Kajian Ilmiah Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat DEVOSI Journal of Students‘ Research in Computer Science (JSRCS) Journal of Computer Science Contributions (Jucosco) Jurnal Komtika (Komputasi dan Informatika)
Rahmadya Trias Handayanto
Program Studi Teknik Komputer Fakultas Teknik, Universitas Islam 45
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Transportation Other

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Pengoptimalan Penggunaan Smartphone Sebagai Digital Marketing Pada SMAN 14 Bekasi Prima Dina Atika; Fata Nidaul Khasanah; Herlawati; Rafika Sari; Endang Retnoningsih; Rahmadya Trias Handayanto; Tyastuti Sri Lestari
Journal Of Computer Science Contributions (JUCOSCO) Vol. 1 No. 2 (2021): Juli 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.v1i2.698

Abstract

Penggunaan internet untuk aktivitas transaksi bisnis dikenal dengan istilah Electronic Commerce (E-commerce). Hal ini ditandai dengan meningkatnya jumlah pengusaha yang menggunakan e-commerce dalam perusahaannya. Digital marketing memudahkan pebisnis memantau dan menyediakan segala kebutuhan dan keinginan calon konsumen, di sisi lain calon konsumen juga bisa mencari dan mendapatkan informasi produk hanya dengan cara menjelajah dunia maya sehingga mempermudah proses pencariannya. Mitra dari kegiatan pengabdian kepada masyarakat yaitu guru SMA Negeri 14 Bekasi. Hal ini dilakukan sebagai upaya pengenalan dalam pengoptimalan penggunaan smartphone yang tidak hanya digunakan untuk sekedar menulis pesan, melakukan panggilan dan bersosial media saja, namun dapat juga dijadikan sebagai media yang mampu mendukung kegiatan usaha atau bisnis yang dimiliki oleh beberapa Guru. Pelaksanaannya materi yang dipaparkan mengenai pengantar digital marketing dan teknis penggunaan salah satu ­e-commerce Shopee. Metode pelaksanaan kegiatan ini dimulai dari penyuluhan, pelatihan dan evaluasi. Hasil dari kegiatan pelatihan menunjukkan para peserta antusias dengan adanya kegiatan ini dan menganggap materi yang dipaparkan sangat menarik dan bermanfaat.
Web Scraping Situs Berita Menggunakan Bahasa Pemograman Python Fikri, Muhammad Ramadan; Handayanto, Rahmadya Trias; Irwan, Dadan
Journal of Students‘ Research in Computer Science Vol. 3 No. 1 (2022): Mei 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/x38bpb21

Abstract

Currently the rapid development of technology provides innovation, one of which is the technique of obtaining information from portal websites, termed web scrapers. This application provides data needs in the form of information where the process of retrieving information from sites will later be taken to observe behavior and perceptions to get the right segmentation. Most data collection is currently still done manually, as a result, this method has several system limitations, namely the length of the data collection process so that it slows down the performance of market segment analysis. The risk is not getting the right market segmentation. To solve this problem, a web scraping news site is needed. In this study, web scraping news sites were created using the python programming language and the flask library to display web scraping. In addition, the Selenium library is used to simplify application creation, facilitate interaction with the web and provide facilities to control a web browser. This program can retrieve data based on keywords, where the results are in the form of the title, posting date, summary, then collect the data that has been taken into a csv file extension automatically.
Penentuan Pola Frekuensi Menggunakan Algoritma Apriori pada Sistem Informasi Berbasis Web Herlawati , Herlawati; Handayanto , Rahmadya Trias; Rejeki , Sri; Priatna , Wowon; Atika , Prima Dina; Rofiah , Syahbaniar; Retnoningsih , Endang; Saputra , Faisal Adi; Pradana , Galih Apriansha
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/nxkyrb30

Abstract

Currently, technology can affect services in any field, both in areas such as salon services and sales of clothing products. How to plan a marketing strategy using the web based on service transaction data and products that are most often chosen by customers. Therefore, an information system for determining frequency patterns is needed using the website-based Apriori Algorithm method. The results of research on salons based on the type of beauty treatment obtained for the type of treatment with a minimum confidence = 70%, the first confidence value is 63% if the customer chooses to wash (shampoo), the customer chooses scissors, the second the confidence value is 100%, if the customer chooses to blow then chooses also cut, and the third confidence value is 86% if the customer chooses creambath then the customer chooses to cut too. Meanwhile at the shop clothes determining the frequency pattern of types of clothes with a minimum value of confidence = 70% so that the results include if a customer buys a veil, the customer buys a robe with a confidence value of 71.43% and if a customer buys khimar then the customer will also buy a robe with a confidence value of 78, 57%. With these results salon and clothing store owners can determine marketing strategies by providing the right product and service recommendations to customers.
FORENSIK TEKNOLOGI INFORMASI PADA HOTSPORT AREA (Study Kasus pada HotSport Fatek Area) ., Haryono; Trias H, Rahmadya
PARADIGMA : JURNAL ILMU PENGETAHUAN AGAMA, DAN BUDAYA Vol 11 No 1 (2010): PARADIGMA : Jurnal Ilmu Pengetahuan, Agama dan Budaya
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Islam 45

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

Abstract

Privacy and ease of information technology tend to make people depend on availability. Computer network system is attached day after day without compromise. These attacks are designed to steal personal identity, to disable the online presence of business, or to completely destroy sensitive information that is essential for personal or business goals. All of this is the responsibility of each organization to establish system that is safe enough to protect their own interests as well as those whosubscribe. Computer crime continues to, so does the need for professional computer personnel who are trained in dealing with computer crime forensics to gather digital evidence, in terms of applying the tools necessary security, and cooperate with law enforcement agencies. This research paper presents the design and implementation of an experiment and Computer Security Forensic Analysis (CSFA) laboratory and tools associated with it. Laboratory is expected to be a trainingfacility for computer security in the future
Workshop Pengembangan Media Pembelajaran Interaktif Kreatif Dalam Melaksanakan Tri Dharma Perguruan Tinggi Di SMK Widya Nusantara Bekas Herlawati, Herlawati; Khasanah, Fata Nidaul; Sari, Rafika; Atika, Prima Dina; Sugiyatno, Sugiyatno; Handayanto, Rahmadya Trias; Samsiana, Seta
Jurnal Pengabdian kepada Masyarakat UBJ Vol. 5 No. 1 (2022): January 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/ye8zv507

Abstract

SMK Widya Nusantara is one of the best vocational schools in the city of Bekasi whose students and teachers have the hope of creating independent and characterized people who are based on faith and piety. The main element to be able to realize the hopes of the Vocational High School is that it has collaborated with universities in training activities and improving knowledge from various fields, so that they can compete in the era of globalization. Currently strengthening the competence of students and teachers is the main thing, because later they will be able to compete with other developed countries. To strengthen these competencies, training and simulations on the development of creative interactive learning media were carried out at SMK Widya Nusantara. It begins with a survey, then it is analyzed and finally the training activities are carried out. The result of this community service is that students and teachers are able to understand the creation of creative interactive learning media such as the use of a mentimeter, classroom google, youtube and the use of powerpoint, examples and their application, so that students and teachers have special knowledge about this which is useful for increasing competence and global competition.
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 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.
Land Cover Segmentation of Multispectral Images Using U-Net and DeeplabV3+ Architecture Herlawati; Handayanto, Rahmadya Trias
Jurnal Ilmu Komputer dan Informasi Vol. 17 No. 1 (2024): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Informatio
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v17i1.1206

Abstract

The application of Deep Learning has now extended to various fields, including land cover classification. Land cover classification is highly beneficial for urban planning. However, the current methods heavily rely on statistical-based applications, and generating land cover classifications requires advanced skills due to their manual nature. It takes several hours to produce a classification for a province-level area. Therefore, this research proposes the application of semantic segmentation using Deep Learning techniques, specifically U-Net and DeepLabV3+, to achieve fast land cover segmentation. This research utilizes two scenarios, namely scenario 1 with three land classes, including urban, vegetation, and water, and scenario 2 with five land classes, including agriculture, wetland, urban, forest, and water. Experimental results demonstrate that DeepLabV3+ outperforms U-Net in terms of both speed and accuracy. As a test case, Landsat satellite images were used for the Karawang and Bekasi Regency areas.
Machine Learning Berbasis Desktop dan Web dengan Metode Jaringan Syaraf Tiruan Untuk Sistem Pendukung Keputusan Handayanto, Rahmadya Trias; Herlawati, Herlawati
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v4i1.3698

Abstract

Machine learning application demand is increased massively because it provides good ability in the classification that is needed by decision makers. Machine learning application uses a programming language with strong characteristics in computing, usually the back-end programming language, such as Matlab, Python, R, etc. The obstacle faced by the decision support system developer is preparing an interface that makes it easy for the user. Some back-end programming languages have provided a good interface. Therefore, in this study they were compared by taking the case of a scholarship decision support system. The language used is Python with two web-based applications including Google Interactive Notebook and Flask framework. Both devices have their respective advantages and are worthy of being the first choice in the design of decision support systems.Python has advantages with framework Flask support and Matlab is easy in interface design.
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
Co-Authors A.A. Ketut Agung Cahyawan W Aeri Sujatmiko Agus Subekti Ahmad Liyas Sani Ahmad Wafiq Amrillah Aji Trisnantoro Andi Hasad Angga Fahreja Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anussara Hirunpongchai, Anussara Atika , Prima Dina Bagus Suryasa Majanasastra Ben Rahman Benrahman Boravin Teng, Boravin Dadan Irwan Dadan Irwan Dadan Irwan Dadan Irwan Dede Rosadi Ekawati, Inna Endang Retnoningsih Faisal Adi Saputra Fata Nidaul Khasanah Fikri, Muhammad Ramadan Filda Angellia Galih Apriansha Pradana Haryono Haryono Haryono Haryono . Haryono . Haryono Haryono Haryono Haryono Hendharsetiawan, Andy Achmad Heri Setiawan Herlawati Herlawati Intan Juwita Irwan Raharja Khanittha Saengmanee, Khanittha M Jaelani Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Malikus Sumadyo Malikus Sumadyo Malikus Sumadyo Malikus Sumadyo Muhammad Aqil Emeraldi Muhammad Arifin Muhammad Ilham Muhammad Irvan Muhammad Ramadan Fikri Muhammad Ramadhan Fikri Nita Merlina, Nita Nitin Kumar Tripathi Nove Anggara Syah Sejati Nutthapong Khangkhun, Nutthapong Pradana , Galih Apriansha Priatna , Wowon Prima Dina Atika RAFIKA SARI Rafika Sari Ramdhani Setiawan Randika Purwadhana Rejeki , Sri Retno Nugroho Whidhiasih Retno Nugroho Whidhiasih Retno Nugroho Whidhiasih Retno Whidhiasih Reyvan Karani Rika Sylviana Samsiana , Seta Sani, Ahmad Liyas Saputra , Faisal Adi Sella Alaida Syifa1 Sella Alayda Syifa Septia, Dwi Yoga Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Setiaji Setiaji Setyo Supratno Setyowati Srie Gunarti, Anita Soedarmin Soenyoto Soedarmin Soenyoto Sohee Minsun Kim Sri Marini Sri Rejeki Sugeng Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sumarlin Syahbaniar Rofiah Taufiqur Rakhman Tyastuti Sri Lestari Yopi Handoyo Yopi Handoyo Yusuf, Ajif Yunizar Pratama