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All Journal Syntax Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi INTECOMS: Journal of Information Technology and Computer Science J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Riset Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Abdimas Mahakam METIK JURNAL Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jusikom: Jurnal Sistem Informasi Ilmu Komputer Systematics Zonasi: Jurnal Sistem Informasi Jurnal Informasi dan Teknologi Buana Information Technology and Computer Sciences (BIT and CS) JURSIMA (Jurnal Sistem Informasi dan Manajemen) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Infotek : Jurnal Informatika dan Teknologi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) International Journal of Engineering, Science and Information Technology Djtechno: Jurnal Teknologi Informasi Jurnal Tika Bulletin of Computer Science Research J-SAKTI (Jurnal Sains Komputer dan Informatika) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Minfo Polgan (JMP) Society: Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Komtekinfo Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science JUSIFOR : Jurnal Sistem Informasi dan Informatika Golden Ratio of Data in Summary Innovative: Journal Of Social Science Research JURSIMA Journal Of Artificial Intelligence And Software Engineering VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Sistem Informasi dan Manajemen Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial
Novalia, Elfina
Universitas Buana Perjuangan Karawang
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Pelatihan Pengembangan Website Sistem Penjualan Online Berbasis Content Menagement System (CMS) Wordpress Novalia, Elfina; Hananto, Agustia; Emilia Sukmawati, Cici; Wahyu, Pratama; Voutama, Apriade
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 2 No. 2 (2024): Desember 2024
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v2i2.104

Abstract

This WordPress Content Management System (CMS) based website development training activity is designed to help digitize the helmet washing service business in Karawang. The purpose of this training is to equip business owners with skills in managing online sales platforms to expand market reach and make it easier for customers to order services. The training is carried out offline with a direct practice method, including a basic introduction to WordPress, theme and plugin installation, to optimizing online store features. Based on the evaluation, this training received a participant satisfaction rate of 85%. Participants felt helped by the material provided and were able to practice creating and managing websites independently to support their business operations. This training is expected to be able to increase the competitiveness of the helmet washing business in Karawang by utilizing an effective digital platform to reach customers more widely.
Klasterisasi Kasus Kekerasan Berdasarkan Jenis Lokasi Kejadian di Jawa Barat Menggunakan Algoritma K-Means Diningrat, Cahya; Priyatna, Bayu; Novalia, Elfina; Hilabi, Shofa Shofia
Jurnal Minfo Polgan Vol. 14 No. 1 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i1.14760

Abstract

Kekerasan merupakan permasalahan sosial yang terjadi di berbagai lokasi dengan pola yang beragam. Di Provinsi Jawa Barat, kasus kekerasan menunjukkan keragaman pola yang dipengaruhi oleh faktor geografis, sosial, budaya, dan terutama jenis tempat kejadian. Memahami sebaran lokasi dan ciri-ciri kejadian kekerasan sangat penting untuk menyusun strategi penanganan yang tepat. Namun, kajian yang mengaitkan jenis tempat kejadian dengan frekuensi kekerasan di tingkat kabupaten dan kota masih terbatas. Oleh sebab itu, fokus utama dari penelitian ini adalah untuk mengelompokan kasus kekerasan berdasarkan jenis lokasi kejadian menerapkan Algoritma K-Means Clustering. Proses penelitian mengikuti tahapan Knowledge Discovery in Database (KDD), yang mencakup berbagai langkah, antara lain seleksi data, pra-pemrosesan data, transformasi data, data mining, serta interpretasi dan evaluasi. Hasil klasterisasi menunjukkan bahwa kasus kekerasan dapat dikelompokkan ke dalam tiga cluster utama berdasarkan jumlah kekerasan dan kategori jenis tempatnya dengan tingkatan kasus kekerasan yang berkategori tinggi, sedang, dan rendah. Evaluasi menggunakan Silhouette Coefficient menghasilkan nilai indeks 0,59, yang mengindikasikan bahwa kualitas cluster berada pada kategori cukup baik (medium structure). Dengan adanya hasil dari penelitian ini, diharapkan dapat menjadi sumber referensi untuk pihak-pihak yang berwenang dalam memahami pola kekerasan di berbagai lokasi, sehingga strategi pencegahan yang lebih efektif dapat dirancang untuk mengurangi tingkat kekerasan di Jawa Barat.
Penerapan Algoritma Naive Bayes untuk Perbandingan Sentimen Ulasan Lazada dan Tokopedia Prasetya, Rafli; Hananto, April Lia; Novalia, Elfina; Tukino, Tukino
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 1: April 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i1.2666

Abstract

The e-commerce sector is one of many aspects of life influenced by advancements in information and communication technology. Tokopedia and Lazada, as two popular platforms in Indonesia, are increasingly accessed through mobile applications. User reviews serve as valuable input for improving service quality and user satisfaction. This study aims to evaluate user sentiment toward the Lazada and Tokopedia applications on the Google Play Store using the Naïve Bayes algorithm. A total of 2,000 review data were collected using web scraping methods and underwent preprocessing, resulting in 1,864 data points ready for analysis. The Hold-Out technique was applied for data splitting to assess model performance. The results show an accuracy of 89% for both applications. The majority of user sentiment is positive, with Lazada achieving a precision of 94%, recall of 93%, and F1-score of 94%, while Tokopedia achieved a precision of 97%, recall of 86%, and F1-score of 91%. These findings demonstrate the effectiveness of combining the Naïve Bayes algorithm and the Hold-Out technique in sentiment classification.Keywords: E-commerce; Sentiment Analysis; Google Play Store; Naïve Bayes AbstrakSektor e-commerce adalah salah satu dari banyak aspek kehidupan yang dipengaruhi oleh kemajuan teknologi informasi dan komunikasi. Tokopedia dan Lazada sebagai dua platform populer di Indonesia, semakin sering digunakan melalui aplikasi mobile. Ulasan pengguna menjadi masukan penting dalam meningkatkan kualitas layanan dan kepuasan pengguna. Penelitian ini bertujuan untuk mengevaluasi sentimen terhadap pengguna aplikasi Lazada dan Tokopedia di platform Google Play Store melalui algoritma Naïve Bayes. Sebanyak 2000 data ulasan dikumpulkan menggunakan metode web scraping, kemudian dilakukan preprocessing sehingga diperoleh 1864 data siap analisis. Teknik Hold-Out digunakan dalam pembagian data untuk mengukur performa model. Hasil menunjukkan akurasi sebesar 89% untuk masing-masing aplikasi. Sentimen pengguna mayoritas bersifat positif, dengan Lazada memperoleh presisi 94%, recall 93%, dan skor F1 94%, sedangkan Tokopedia memperoleh presisi 97%, recall 86%, dan skor F1 91%. Temuan ini menunjukkan efektivitas kombinasi algoritma Naïve Bayes dan Hold-Out dalam klasifikasi sentimen. 
Sistem Monitoring Dan Visualisasi Data Konsumsi Energi Listrik Rumah Berbasis IoT Dengan Aplikasi Blynk Setiawan, Pratama Wahyu; Hananto, April Lia; Novalia, Elfina; Hananto, Agustia
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 1: April 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i1.2675

Abstract

Household electricity consumption continues to increase, but monitoring of electricity use is still limited to the KwH meter which only shows the total usage without real-time details. This research aims to design an Internet of Things (IoT)-based electrical energy consumption monitoring system with the Blynk application as a data visualization medium. The system is designed using a PZEM-004T sensor to measure voltage, current, and power, as well as a ESP8266 NodeMCU microcontroller to transmit data to the Blynk application over a WiFi connection. System testing is carried out using the black box method to evaluate the functionality of each feature without looking at internal processes. The test results showed that the system can display electricity consumption data in real-time, work stably, and allow remote monitoring via smartphone. The system also helps users recognize electricity usage patterns, supports decision-making in energy savings, and provides historical data for long-term usage evaluation.Keywords: Internet Of Things; Monitoring Listrik; NodeMCU ESP8266; Blynk; PZEM-004T AbstrakKonsumsi energi listrik rumah tangga terus meningkat, namun pemantauan penggunaan listrik masih terbatas pada KwH meter yang hanya menunjukkan total pemakaian tanpa detail real-time. Penelitian ini bertujuan merancang sistem monitoring konsumsi energi listrik berbasis Internet of Things (IoT) dengan aplikasi Blynk sebagai media visualisasi data. Sistem dirancang menggunakan sensor PZEM-004T untuk mengukur tegangan, arus, dan daya, serta mikrokontroler NodeMCU ESP8266 untuk mengirimkan data ke aplikasi Blynk melalui koneksi WiFi. Pengujian sistem dilakukan dengan metode Black box untuk mengevaluasi fungsionalitas tiap fitur tanpa melihat proses internal. Hasil pengujian menunjukkan bahwa sistem dapat menampilkan data konsumsi listrik secara real-time, bekerja dengan stabil, dan memungkinkan pemantauan jarak jauh melalui smartphone. Sistem ini juga membantu pengguna mengenali pola penggunaan listrik, mendukung pengambilan keputusan dalam penghematan energi, serta menyediakan data historis untuk evaluasi penggunaan jangka panjang. 
Analisis Sentimen User Experience Menggunakan Naive Bayes dan Design Thinking pada Aplikasi SIPT Fauzi, Muhamad Helmi; Huda, Baenil; Novalia, Elfina
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 9 No. 2 (2025): Volume 9 Nomor 2 April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v9i2.14712

Abstract

Sistem Informasi Perguruan Tinggi Universitas Buana Perjuangan Karawang (SIPT UBP Karawang) merupakan aplikasi yang dirancang untuk mempermudah mahasiswa dalam mengelola administrasi akademik, seperti melihat nilai, pembayaran UKT, dan informasi perkuliahan. Berdasarkan pengalaman pengguna ditemukan permasalahan pada tampilan antarmuka, khususnya halaman dashboard yang dinilai kurang intuitif. Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap aplikasi SIPT UBP Karawang menggunakan algoritma Naive Bayes, serta merancang solusi perbaikan antarmuka dengan pendekatan Design Thinking. Data yang dikumpulkan sebanyak 502 komentar pengguna aplikasi, setelah tahap preprocessing menjadi 406 data set komentar aplikasi. Hasil dari klasifikasi sentimen terdapat 236 sentimen positif dan 170 sentimen negatif. Visualisasi WordCloud pada komentar negatif menunjukan kata “dashboard” paling sering muncul, mengindikasikan titik masalah utama pada antarmuka. Proses klasifikasi menggunakan algoritma Naive Bayes menghasilkan akurasi sebesar 0.89% . Tampilan antarmuka didesain ulang agar lebih ramah pengguna menggunakan metode Design Thinking. Pengujian dilakukan menggunakan instrumen System Usability Scale (SUS), dan teknik Usability Testing. Skor rata-rata yang diperoleh adalah 81, jadi termasuk nilai A atau predikat sangat bagus. Penelitian ini menunjukkan bahwa hasil klasifikasi sentimen dengan metode Naive Bayes dan pendekatan Design Thinking efektif dalam melakukan identifikasi masalah dan menghasilkan solusi desain yang meningkatkan kepuasan pengguna terhadap aplikasi SIPT UBP Karawang.
Socialization of Digital Literacy and Artificial Intelligence to Improve Knowledge and Skills in Rangdumulya Village Voutama, Apriade; Maulana, Iqbal; Yusup, Dadang; Garno, Garno; Novalia, Elfina
Society : Jurnal Pengabdian Masyarakat Vol 4, No 3 (2025): Mei
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i3.524

Abstract

The socialization of Digital Literacy and Artificial Intelligence was carried out in Randumulya Village, Karawang Regency, which focused on increasing the community's insight into skills so that they can train and create creative ideas and opportunities. The socialization was carried out by two targets, namely to village officials and the community and students at elementary schools in the village. This activity was carried out in the Village Hall with resource persons who were expert lecturers in their fields and activities with students were carried out at the school and accompanied by students to be more interactive. The results of the satisfaction of 55 respondents who were carried out by distributing questionnaires reached 85% who stated that they were satisfied. With this training, it can help the village community to know and get benefits from digital literacy and technological intelligence so that it has a positive impact and standard of living in the village.
Prediksi Volume Penjualan Gadget Berdasarkan Promo dan Channel Penjualan Menggunakan Random Forest Agustina, Alvi; Tukino, Tukino; Huda, Baenil; Novalia, Elfina
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 4 No 1 (2025): JUSIFOR - Juni 2025
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/jusifor.v4i1.6962

Abstract

Volume penjualan gadget dipengaruhi oleh berbagai faktor seperti harga, rating pengguna, keberadaan promo, serta channel distribusi yang digunakan. Pemahaman terhadap pengaruh faktor-faktor tersebut sangat penting untuk merumuskan strategi pemasaran yang efektif. Penelitian ini bertujuan untuk memprediksi volume penjualan gadget menggunakan algoritma Random Forest berdasarkan fitur promo dan channel penjualan. Data yang digunakan merupakan catatan transaksi aktual dari sebuah toko gadget yang melayani penjualan secara online dan offline di wilayah Jabodetabek dalam periode tertentu. Tahapan penelitian meliputi data preprocessing, pembentukan target klasifikasi volume penjualan menjadi tiga kategori (rendah, sedang, dan tinggi), pelatihan model Random Forest, serta evaluasi performa model menggunakan metrik akurasi, precision, recall, dan F1-score. Pembagian data latih dan data uji dilakukan dengan teknik stratified sampling untuk menjaga keseimbangan distribusi kelas. Hasil evaluasi menunjukkan bahwa model Random Forest mencapai akurasi sebesar 49,5%, dengan performa terbaik dalam mengklasifikasikan kategori volume penjualan "sedang". Angka ini mengindikasikan bahwa akurasi prediksi model masih terbatas, dengan hanya sekitar separuh dari keseluruhan data uji yang dapat diprediksi dengan benar. Meskipun demikian, temuan ini menunjukkan bahwa penerapan algoritma machine learning, khususnya Random Forest, berpotensi mendukung pengambilan keputusan berbasis data dalam meningkatkan efektivitas penjualan gadget.
Prediksi Penjualan Barang Menggunakan Metode K-Means dan Regresi Linear Henry Adam; Tukino; Elfina Novalia; Hananto, April Lia
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.541

Abstract

Sales data analysis plays an important role in supporting business decision making, especially to optimise stock management and improve operational efficiency. the main problem faced by Vapestore XYZ in Karawang is the difficulty in accurately predicting the number of product sales, so there is often an imbalance between inventory and market demand. This can cause losses due to overstocks or shortages of goods. Currently, the estimation of stock requirements still relies on intuition and personal experience, without the support of objective data analysis. This research aims to build a sales prediction model by combining the K-Means method for product clustering and Linear Regression for sales quantity prediction. Sales data is taken directly from the store POS application, then goes through the stages of cleaning, labelling, and clustering into three groups, namely ‘Less Sold’, “Sold”, and ‘Very Sold’. Sales prediction is performed using Linear Regression by utilising the clustering results and time variables as inputs. Model performance evaluation is performed using error metrics, namely Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). Based on the test results, the developed Linear Regression model obtained MAE of 3.20, MSE of 52.34, and RMSE of 7.23. These error values indicate that the model is able to provide sales estimates that are close enough to the actual data to be reliable in stock planning. Visualisation of the prediction results in the form of tables and heatmaps makes it easy to identify sales trends and compare performance between products. The findings of this study prove that the combination of K-Means and Linear Regression methods is effectively used to support stock decision making and marketing strategies in vape retail stores. Further development is recommended by enriching the dataset and exploring other prediction methods to improve model performance.
User Experience Design Analysis of the Karawang Job Vacancy Website using the User-Centered Design Method and System Usability Scale Sopian, Jajang; Huda, Baenil; Novalia, Elfina; Hananto, April Lia
SISTEMASI Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5303

Abstract

An optimized User Experience (UX) design plays a significant role in creating a comfortable browsing experience, ensuring good accessibility, and enhancing user satisfaction. This study analyzes the UX design of the Info Loker Karawang website by applying the User-Centered Design (UCD) method and evaluating the resulting prototype using the System Usability Scale (SUS) to assess the website’s ease of use. The UCD method was selected because it places the user at the center of the design process, enabling the development of solutions that align closely with users’ needs, expectations, and characteristics. This approach has proven effective in producing relevant and intuitive interfaces through stages of analysis, design, and evaluation involving active user participation. Following the design phase, the prototype was tested using the SUS instrument to measure how well the design solution met usability and user satisfaction criteria. The evaluation results indicate that applying UCD in website design significantly improves usability, achieving a SUS score of 72.5, which falls into Grade B and is categorized as “Good” on the adjective rating scale. This research provides insights into the importance of user-centered approaches in website development and demonstrates the effectiveness of SUS in evaluating and measuring the success of UX design outcomes.
Pengenalan Enterpreunership Multimedia Pada Santri Pondok Pesantren At-Taubah Tirta Mulya Agustia Hananto; Elfina Novalia; Tukino Tukino
Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial Vol. 2 No. 2 (2025): Mei : Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karya.v2i2.1384

Abstract

This community service activity aims to introduce the concept of multimedia entrepreneurship to students of the At-Taubah Tirta Mulya Islamic Boarding School, Karawang, in order to improve their knowledge and skills in utilizing multimedia as a tool for entrepreneurship. Held on March 2, 2024, this activity involved 50 students who attended lecture sessions, discussions, and multimedia content creation practices. The research method used was participatory action research, which allowed participants to be actively involved in the learning process. Data were collected through observation, interviews, and questionnaires to measure changes in knowledge before and after the activity. The results of the analysis showed a significant increase in students' understanding and skills related to multimedia entrepreneurship. The implications of this activity highlight the importance of collaboration between higher education institutions and Islamic boarding schools to create a creative and independent generation in the digital era.
Co-Authors Abdul Hafiz Agung Susilo Yuda Irawan Agustina, Alvi Ahmad Fauzi Al Khadzik, Fahmi Alfiansyah, Muhammad Rindra Anita Saptiani Apriade Voutama April Hananto April Lia Hananto Arif Budimansyah Purba atikah, dwi Aurel Adhitya Anwar Aviv Yuniar Rahman Awaljan Situmorang Ayu Ratna Juwita Baenil Huda Baenil Huda baktria, leonyka Bayu Yoga Astario Daffa Agung Pratama Desfianthy, Fatiya Hanifah Diningrat, Cahya Emilia Sukmawati, Cici Fadli, Muhammad Abil Fauzi, Muhamad Helmi Firdaus, Mohamad Ricky Fitria Nurapriani Garno Garno, Garno garno, Garno Goenawan Brotosaputro Hananto, Agustia Henry Adam Hilabi, Shofa Shofia Hilabi, Shofa Shofiah Hilabi, Shofa Shofiah Huban Kabir Huda, Baenil Indra, Jamaludin Iqbal Maulana kastiawan, Nurhayadi Lestari, Renita Muhamad Agus Faisal Muhamad Djaka Permana Nurapriani, Fitria Nuriza, Adjeng Putri Paryono, Tukino Prasetya, Rafli Prayono, Tukino Priyatna, Bayu Purba, Arif Budimansyah Rian Pratama Rigger Damaiarta Tejayanda Sandi Ahmad Saptiani, Anita Seia Piantara Setiawan, Pratama Wahyu Setiawan, Revi Shofa Shofia Hilabi Shofa Shofiah Hilabi Shofiah Hilabi, Shofa Sopian, Jajang Sukmawati, Cici Emilia Surala, Lyvia Syafana, Vinka Syahri Susanto Tamala, Evi Tita Puspita Sari Trisya Nurmayanti Tukino Tukino, Tukino tukino, tukino Tukino, Tukino Uktupi Nijunnihayah Wahyu Aziz Ramadhani Wahyu, Pratama Widyanti, Tyas Wirlandika, Devri Yoga Astario, Bayu Yusup, Dadang Zhalifunas, Satria Dawas