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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) Jurnal Bersama Pengabdian Kepada Masyarakat
Prima Dina Atika
Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya
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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.
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.
Perangkat Lunak Kriptografi Algoritma Rivest Shamir Adleman (RSA) Untuk Mengenkripsi Data Password Pada Aplikasi Login Sugiyatno Sugiyatno; Prima Dina Atika
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 7 No. 1 (2019): Maret 2019
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v7i1.1663

Abstract

Abstract Nowadays, information is a basic need for everyone, but the information obtained is not guaranteed right. One solution to data security techniques is cryptography. With cryptography, messages or documents are safe and cannot be read by unauthorized parties. This article discusses about the implementation of the Rivest Shamir Adleman (RSA) Algorithm software in the login functiion. This function has two menus, namely login and registration. The purpose of this paper is to encrypt password data that goes into the database, so that data is protected from abuse by irresponsible parties. The encryption process occurs when a user saves data during registration. The workings of the encryption process are as follows, first take the recipient's public key, e, and modulus n, then declare plaintext m to be blocks m1, m2, m3, ... so that each block represents the value in interval [0, n- 1], then each block m, encrypted into ci blocks with formulas (ci = mic mod n). Each ciphertext c block is decrypted back into a mi block with a formula (mi = cid mod n). Keywords: Enkripsi, Rivest Shamir Adleman (RSA), Plainteks, Cipherteks Abstrak Saat ini informasi menjadi kebutuhan pokok setiap orang, namun informasi yang didapatkan belum tentu terjamin. Salah satu solusi teknik pengamanan data adalah menggunakan kriptografi. Dengan kriptografi, pesan atau dokumen aman dan tidak dapat dibaca oleh pihak yang tidak berhak Artikel ini akan membahas implementasi perangkat lunak Algoritma Rivest Shamir Adleman (RSA) dalam fungsi login. Fungsi ini memiliki dua menu yaitu login dan registrasi. Proses enkripsi terjadi pada saat user menyimpan data ketika registrasi. Tujuan dari penulisan ini untuk mengenkripsi data password yang masuk ke dalam database, sehingga data terhindar dari penyalahgunaan oleh pihak yang tidak bertanggung jawab. Cara kerja proses enkripsi sebagai berikut, pertama mengambil kunci publik penerima pesan, e, dan modulus n, lalu nyatakan plainteks m menjadi blok-blok m1, m2, m3,…, sedemikian sehingga setiap blok merepresentasikan nilai di dalam selang [0, n-1], kemudian setiap blok m, dienkripsi menjadi blok ci dengan rumus (ci=mic mod n). Setiap blok cipherteks c, didekripsi kembali menjadi blok mi dengan rumus (mi=cid mod n). Kata kunci: Enkripsi, Rivest Shamir Adleman (RSA), Plainteks, Cipherteks
Android-Based Shortest Path Finding Using A-Star (A*) Algorithm in Bekasi City Herlawati Herlawati; Prima Dina Atika; Ajif Yunizar Pratama Yusuf; Fata Nidaul Khasanah; Endang Retnoningsih; Beno Aditya Sanusi; Gedhe Hilman Wakhid
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 9 No. 2 (2021): September 2021
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v9i2.3227

Abstract

Getting information on routes can be he main problem for visitors. For example in determining the route to a proper place for eating and how to find the closest route to a mall. Based on the existing problems, this study proposes an application for finding information about places that visitors want to go based on the closest route. Algorithm A-Star (A*) was implemented that uses the distance estimation by finding the closest path to the destination using a heuristic function as a basis to select from several alternatives effectively. The result showed that an android application can give the information about the location of places to visit for eating and malls by calculating the distance from the starting point to the end point.
Web-Based Recommender System for High School Major Decision Using Forward Chaining Ira Wardani; Prima Dina Atika; Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 10 No. 1 (2022): March 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i1.4402

Abstract

Education is a learning process for students to develop their potential skills. One of the vocational schools is the State Vocational High School (SMK) 05 Bekasi, that educates students to have high expertise in industrial fields. However, not every student can choose the right major, there are students who choose majors based on the wishes of their parents, and do not know their real potential and abilities, so that the abilities of students are not in accordance with the majors they have chosen. One way that can be used to help choose the right major is to take a preference test that is assessed by a psychologist or the Counseling Guidance section. This method is quite effective, but it takes time especially for large numbers of student. Therefore, the researcher created a website-based recommendation system to identify majors using the Forward Chaining method. The purpose of the research is to make a recommendation system to determine the majors that students will choose. The application are developed using the System Development Life Cycle.
Nutritional Status Classification of Toddlers Using K-Nearest Neighbor Algorithm Nur Amanda Pratiwi; Prima Dina Atika; Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 10 No. 2 (2022): September 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i2.5604

Abstract

Nutrition is important for the balance of the human body. Knowing the nutritional status is very important to realize the good and the quality human resources. Posyandu Parkit is one of the many Integrated Healthcare Center (posyandu) in Indonesia that provides health services for the community, one of which is monitoring and nutritional development of toddlers. However, the Posyandu Parkit in determining the nutritional status of toddlers is done manually; this method uses measurement parameters based on body weight (BB/U) which are less specific in showing the nutritional status of the toddler by matching manually with a reference standard table available in a healthy card (KMS). The purpose of this research is to produce a website that can determine the nutritional status of toddlers quickly and accurately. The system is designed using the K-Nearest Neighbor method which is a classification method. The K-Nearest Neighbor process is carried out by calculating the distance between the test data and the training data using the Euclidean distance formula, before sorting from the closest distance to the k-th order, then nutritional status is determined. The results of this study are a website that can determine the nutritional status of toddlers by applying the K-Nearest Neighbor algorithm with BB/U, TB/U, and BB/TB accuracies were 93.75%, 87.5%, and 93.75 %, respectively.
Sentiment Analysis of Application Reviews using the K-Nearest Neighbors (KNN) Algorithm Damar Wijati; Prima Dina Atika; Siti Setiawati; Rasim Rasim
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9490

Abstract

Product reviews play a crucial role in evaluating user satisfaction and overall performance. Vidio, one of the over-the-top (OTT) media platforms, offers a wide range of entertainment content, including movies, TV shows, sports events, music shows, lifestyle programs, and more, accessible through its application. Users have the opportunity to provide reviews and feedback on their experience with the Vidio application. Therefore, this research was conducted to analyze user sentiment towards the Vidio application on the Google Play Store platform using the K-Nearest Neighbors (KNN) method. Data for sentiment analysis were randomly selected from the Vidio application based on the most relevant reviews. A total of 3,000 data were analyzed, with 2,238 data in the negative class, 508 data in the neutral class, and 254 data in the positive class. This research used the K-Nearest Neighbors (KNN) method for classifying reviews based on negative, neutral, and positive classes, and the Multiclass Confusion Matrix for model evaluation. With a data split of 70% for training data 30% for testing data, and several n_neighbors of 10 data, the results in an accuracy of 81.6%, precision of 79%, recall of 81.6%, and F1-Score of 77%.
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 Damar Wijati Dani Yusuf Darusman, Rasyid Dwipa Handayani 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 Indah Dwijayanthi Nirmala Ira Wardani Ismaniah Ismaniah Joni Warta Julianto Khairunnisa Fadhilla Ramdhania Kusmara, Hadi Lestari, Panca Indah Maimunah, Maimunah Malikus Sumadyo Mamang Jhulianawati Mega Wahyu Rhamadani Mugiarso Mugiarso Muhamad Galih Muhammad Riky Sudrajat Muhammad Yazid 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 Resty Nandya Retna Ayu Puspitasari Retno Nugroho Whidhiasih Ridwan Ridwan Robertoi . Samuel, Federick Dedi Sandy Satyo Prihatin Saputro, Septyo Sari , Rafika Septia, Dwi Yoga 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 Tyastuti Sri Lestari Tyastuti Sri Lestari Wijaya, Rian Wijaya, Rifky Putra Yusuf, Ajif Yunizar Pratama