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All Journal Techno.Com: Jurnal Teknologi Informasi PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic IJoICT (International Journal on Information and Communication Technology) Jurnal Pilar Nusa Mandiri Information System for Educators and Professionals : Journal of Information System Faktor Exacta Jurnal Komtika (Komputasi dan Informatika) Jurnal Cendikia JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal Teknologi Terpadu Jurnal ICT : Information Communication & Technology Competitive JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Journal of Students‘ Research in Computer Science (JSRCS) INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Jitu: Jurnal Informatika Utama Competitive Journal of Computer Science Contributions (Jucosco) Journal of Informatics and Information Security Jurnal Riset Informatika dan Teknologi Informasi (JRITI) Jurnal Komtika (Komputasi dan Informatika)
Prima Dina Atika
Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Transportation Other

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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:
Penerapan Algoritma Saw Pada Sistem Penilaian Anggota Terbaik Ukm Granat Alfiansyah, Rizky; Atika, Prima Dina; Fathurrozi, Ahmad
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 10 No 1 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v10i1.987

Abstract

The purpose of determining the best members is to appreciate the achievements of members so as to motivate other members to be able to organize optimally and be able to survive in the organization for a long time. Although the purpose is very simple. It turns out that the process is very complex, takes so long that it gives rise to the opportunity for errors to occur in determining who is the right member. Especially if the UKM GRANAT has members with an assessment that is not much different from other members, then in its determination it is sometimes very subjective. Actually, there are several assessment criteria in the decision-making process for selecting the best members, namely: attendance, activeness, responsibility, professionalism, initiative, behavior. Therefore, it is necessary to build a system that can help decision making to determine the selection process objectively, namely by using the SAW (Simple Additive Weighting) method.
Pelatihan Peningkatan Kesadaran Keamanan Akun Digital Bagi Pelaku UMKM Desa Sawarna Banten Atika, Prima Dina; Afifah Hafshah, Aidah; Putri, Fadia Amelia; Wijaya, Rian; Wijaya, Rifky Putra; Fauzan, Zaki Nur; Nurfauzi, Ridwan; Darusman, Rasyid; Dzulfiqar, Muhammad Akmal; Ferdiansyah, Mohamad Diandra; Saputro, Septyo; Ramadhan, Tedi
Journal Of Computer Science Contributions (JUCOSCO) Vol. 6 No. 1 (2025): Januari 2026
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/xkyzys72

Abstract

The widespread expansion of digitalization has driven Micro, Small, and Medium Enterprise (MSME) owners in Sawarna Village to utilize various digital platforms for communication, marketing, and sales transactions. However, the high adoption rate of digital services is not matched by adequate understanding of account security, making MSME owners one of the most vulnerable groups to threats such as phishing, account hijacking, data misuse, and online fraud. Through the Community Service Program (KKN), this training activity was conducted to enhance awareness and capability of MSME owners in securing the digital accounts they use to support their business activities. The training encompassed socialization sessions, technical assistance, and basic audits of participants' account security settings. The results demonstrated an improvement in MSME owners' understanding of digital security risks as well as behavioral changes, particularly in the adoption of stronger passwords, activation of two-factor authentication, and configuration of account privacy settings. This program proves that KKN-based digital security training is effective in increasing awareness and digital account protection capabilities among MSME owners, thereby supporting the sustainability of their businesses in a more secure manner.
Co-Authors .S.T., M.Kom., Suhadi Afifah Hafshah, Aidah Afzil Ramadian Ahmad Fathurrozi Ahmad Fathurrozi Aida Fitriyani, Aida Ajif Yunizar Pratama Yusuf Alfiansyah, Rizky AlHakim, Abdu Malik Almajid, Nafis Alviansyah, Mohammad Anita Setyowati Srie Gunarti Beno Aditya Sanusi Dadan Irwan Dani Yusuf Darusman, Rasyid Dzulfiqar, Muhammad Akmal Ekawati, Inna Endang Retnoningsih Faisal Adi Saputra Fata Nidaul Khasanah Fathurrozi, Ahmad Fauzan, Zaki Nur Ferdiansyah, Mohamad Diandra Fitria Nurapriani Galih Apriansha Pradana Gedhe Hilman Wakhid Gilby Lionska Wenas Haryono Haryono Hendharsetiawan, Andy Achmad Herlawati Herlawati Idaul Hasanah Indah Dwijayanthi Nirmala Ira Wardani Ismaniah Ismaniah Joni Warta Julianto Khairunnisa Fadhilla Ramdhania Kusmara, Hadi Lestari, Panca Indah Maimunah, Maimunah Malikus Sumadyo Mamang Jhulianawati Mugiarso Mugiarso Muhamad Galih Muhammad Riky Sudrajat Mukhlis Nur Amanda Pratiwi Nurfauzi, Ridwan Priatna , Wowon Prihatin, Sandy Satyo Putri, Fadia Amelia Rafika Sari RAFIKA SARI Rahmadya Trias Handayanto Ramadhan, Alif Izzuddin Ramadhan, Tedi Ramdhania, Khairunnisa Fadhilla Rasim Rasim Rasim, Rasim Resty Nandya Retna Ayu Puspitasari Retno Nugroho Whidhiasih Robertoi . Samuel, Federick Dedi Sandy Satyo Prihatin Saputro, Septyo Sari , Rafika Septia, Dwi Yoga Seta Samsiana Seta Samsiana Shofa Shofia SITI SETIAWATI Sri Rejeki Sri Rejeki Sugeng Murdowo Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Syahbaniar Rofiah Tambun, Jerisman Jhon Wesli Tyastuti Sri Lestari Tyastuti Sri Lestari Wijati, Damar Wijaya, Rian Wijaya, Rifky Putra Yusuf, Ajif Yunizar Pratama