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All Journal Information Technology and Telematics Dinamik Elkom: Jurnal Elektronika dan Komputer Jurnal Transformatika IKRA-ITH Informatika : Jurnal Komputer dan Informatika Pendas : Jurnah Ilmiah Pendidikan Dasar INTECOMS: Journal of Information Technology and Computer Science IKRA-ITH ABDIMAS Jurnal ICT : Information Communication & Technology Zonasi: Jurnal Sistem Informasi Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Infotek : Jurnal Informatika dan Teknologi Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Duta Abdimas: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Pada Masyarakat Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi) Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial International Journal of Information Technology and Business Jurnal Informatika Dan Tekonologi Komputer
Rara Sri Artati Redjeki
Universitas Stikubank
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Pemanfaatan Gemini AI untuk Kreasi Konten Visual Promosi UMKM Kota Semarang Rara Sriartati Redjeki; Eko Nurwahyudi; Purwatiningtyas Purwatiningtyas; Budi Hartono; Theresi Dwiati Wismarini
Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial Vol. 2 No. 4 (2025): November : 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.v2i4.2240

Abstract

This community service activity stems from a core challenge faced by Micro, Small, and Medium Enterprises (MSMEs) in Semarang City: the difficulty in consistently producing high-quality promotional visual content, primarily due to budget constraints and the lack of professional design skills. This condition severely hampers their competitiveness in the digital marketplace. The main goal of this activity was to enhance the technical capability of MSME participants in using Gemini AI as a multimodal model to generate professional, ready-to-use visual assets, thereby achieving significant cost and time production efficiency. The solution offered was a hands-on training focusing on Prompt Engineering defined as the art of formulating detailed commands to control the AI's output. The activity was conducted through an intensive workshop and case study mentorship for 25 MSME actors. The evaluation results demonstrated a highly significant increase in competence. The participants' average cognitive score drastically rose from 48.5% on the pre-test to 87.9% on the post-test, proving the successful mastery of Prompt Engineering. Applied results showed that participants were able to produce product visual assets with an average quality of 87.5%. Participant satisfaction reached 95.0%, especially concerning the indicators of cost and time efficiency. This activity successfully democratized design, empowering MSMEs to be self-sufficient in content production, and tangibly strengthening their brand identity and competitiveness across digital platforms.
Adopsi Generator Kunci Euler Number dan Pembangkit Kunci Blum Blum Shub untuk Meningkatkan Confidentiality Level pada Extended Vigenere Ardhianto, Eka; Redjeki, Rara Sriartati; Supriyanto, Edy; Murti, Hari; Wahyudi, Eko Nur
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 1 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i1.21512

Abstract

Algoritma Vigenere merupakan model algoritma enkripsi yang masih dikembangkan dalam bidang keamanan informasi saat ini. Salah satu aspek yang dianggap penting dalam bidang keamanan informasi adalah kerahasiaan. Masalah pencapaian kerahasiaan pesan atau informasi yang tinggi sangat penting dalam bidang keamanan informasi. Extended Vigenere dikenal sebagai evolusi dari Vigenere yang menerapkan lebih banyak set karakter. Salah satu pengembangan algoritma Vigenere adalah dengan memodifikasi generator kunci yang digunakan. Eksperimen ini bertujuan untuk menguji pengaruh kerahasiaan informasi pada penggunaan generator kunci Blum Blum Shub (BBS) dan nomor Euler yang diterapkan pada Extended Vigenere. Metode pembangkitan kunci BBS dan nomor Euler digunakan secara berurutan. Sebagai metrik pengukuran, perhitungan entropi dari keluaran Extended Vigenere digunakan. Hasil yang diperoleh berupa peningkatan kerahasiaan informasi yang signifikan dengan nilai entropy achievement lebih dari 79% dari entropy optimum.
SISTEM REKOMENDASI PEMILIHAN MOBIL MENGGUNAKAN METODE MOORA Galuh Pradana; Rara Sri Artati Rejeki
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 2 (2023): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i2.1290

Abstract

Many manufacturers create numerous types of automobiles with diverse advantages ranging from engine capacity, type of design, and fantastic features to their products in response to the large number of enthusiasts and requests from the general public. Consumers are frequently perplexed while making decisions regarding brand, model, type, price, engine capacity, transmission, year of manufacturing, fuel capacity, and other aspects of the car's benefits due to the growing range of options available. Brand, model, type, price, engine and transmission size, year of production, and gasoline capacity are all factors in choosing a car. The MOORA system only recommends vehicles from the three well-known manufacturers Honda, Toyota, and Suzuki. A Honda CRV with a value of Y_i = 0.225 was recommended as the first recommendation, followed by a Honda BRV with a value of Y_i = 0.211, and a Honda Brio with a value of Y_i = 0.204. The recommendations were based on Honda brand criteria and CVT transmission.
New Design of Encryption with Covertext and Reordering Eka Ardhianto; Widiyanto Tri Handoko; Hari Murti; Rara Sri Artati Redjeki
International Journal of Information Technology and Business Vol. 5 No. 2 (2023): April : International Journal of Information Technology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.522023.01-05

Abstract

Documents for some entities are confidential and important, so security is required. Encryption with Covertext and Reordering (ECR) is a text-based document security model. ECR uses a random key to generate the ciphertext. The ECR’s random key is selected using the human-generated method. This research aims to increase the level of document security based on the ECR mechanism. This paper proposes a new method by using a random key in a permutated table. The random key is generated automatically by a function. The entropy is used as a measurement of the security level of the encrypted documents. The experimental shows that the permutated table inside the ECR provides better entropy values. It implies a better security level. The use of permutated tables also makes it easier to use ECR to secure documents.
PEMANFAATAN SABUT KELAPA SEBAGAI PEWARNA ALAMI BATIK BAGI MASYARAKAT KELURAHAN SEMBUNGHARJO KECAMATAN GENUK KOTA SEMARANG Mariana, Novita; Utomo, Agung Prasetyo; Redjeki, Rara Sriartati; Santoso, Dwi Budi
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 2 No 1 (2021): VOLUME 2. NO 1. APRIL 2021
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/abdimastek.v2i1.1119

Abstract

Bahan pewarna alami umumnya berasal dari tumbuh-tumbuhan, seperti kayu, kulit kayu, akar, kulit akar, biji, kulit biji, daun, maupun bunga. Proses pewarnaan dengan menggunakan zat warna alam memang lebih rumit jika dibandingkan dengan menggunakan zat pewarna sintetis dan warna-warna yang dihasilkan memang cenderung menjadi lembut serta bersifat unik dan eksklusif dikarenakan karakteristik dari tumbuhan dan faktor lingkungan lah yang mempengaruhinya. Lingkungan di Wilayah Kelurahan Sembungharjo terkenal dengan tanaman pohon kelapa. Dimana hampir di setiap halaman depan atau belakang rumah penduduk memiliki tanaman pohon kelapa. Penduduk setempat menjual buah kelapa dan membuang sabut kelapanya, sehingga semakin banyak limbah sabut kelapa. Dengan semakin banyaknya limbah sabut kelapa, maka limbah tersebut dapat dimanfaatkan sebagai pewarna alam untuk pembuatan batik. Proses pewarnaan kain batik umumnya dilakukan dengan menggunakan pewarna kimia. Dengan menggunakan pewarna alam ini, proses pembuatan batik tentunya menjadi lebih ramah lingkungan. 
Rancang Bangun Sistem Inventarisasi Barang Berbasis Web dengan Integrasi Barcode dan QR Code untuk Meningkatkan Efisiensi Pengelolaan Stok (Studi Kasus: Toko Hassya Hijab) Lulu Rachel Avisa; Rara Sriartati Redjeki
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 3 (2026): JULY 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i3.6158

Abstract

A web-based inventory system integrated with Barcode/QR Code technology was developed to enhance stock management at Hassya Hijab Store. The system, constructed using PHP and MySQL, facilitates centralized management of item data, suppliers, stock-in and stock-out transactions, reports, and user access rights based on specific roles. By incorporating Barcode/QR Code technology, the system significantly improves the speed and accuracy of item data recording and retrieval through code scanning, reducing reliance on manual data input and minimizing human error. Furthermore, the system allows for seamless integration between the inventory management process and real-time updates, ensuring data consistency across all transactions. Black-box testing revealed that essential functionalities such as managing master data, processing stock transactions, generating and scanning barcodes/QR codes, and producing automated reports operated as anticipated, confirming the system's reliability and performance. Based on these results, the system proves to be an efficient and effective solution for digital inventory management, making it highly suitable for use at Hassya Hijab Store, with potential for broader application in similar retail environments.
Analisis Sentimen Ulasan Aplikasi PLN Mobile Menggunakan Naïve Bayes, SVM, dan Hutan Acak dengan SMOTE Helmy Agta Al Fatah; Rara Sriartati Redjeki
Jurnal Transformatika Vol. 24 No. 1 (2026): July 2026
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v24i1.14934

Abstract

Aplikasi PLN Mobile, seperti saluran layanan digital PT PLN (Persero), menerima ribuan ulasan dari pengguna di Google Play Store, yang sulit diverifikasi secara manual. Tujuan dari penelitian ini adalah untuk membandingkan kinerja tiga algoritma Machine Learing Naïve Bayes, Support Vector Machine (SVM) dan Random Forest untuk mengklasifikasikan sentimen ulasan PLN Mobile ke dalam dua kategori (positif dan negatif). Kebaruan penelitian ini terletak pada kombinasi strategi pengumpulan data yang seimbang berdasarkan kategori evaluasi, penyeimbangan kelas dengan teknik oversampling minoritas sintetis (SMOTE), validasi silang 5 kali, dan penyesuaian hiperparameter SVM. Sebanyak 3.702 ulasan dikumpulkan melalui webscraping setelah prapemrosesan teks dan pembobotan TF-IDF, diperoleh 2.917 data (1.586 negatif dan 1.331 positif) dengan 4.160 fitur. Hasil cross-validation menunjukkan bahwa Naïve Bayes memiliki rata-rata skor F1 tertinggi (0,846) dengan standar deviasi rendah (0,011) yang menunjukkan kinerja stabil. Dalam pengujian yang dilakukan pada 584 poin data, model Naïve Bayes kembali muncul sebagai yang terbaik, dengan skor akurasi, presisi, recall, dan F1 sebesar 84%, diikuti oleh SVM (83%) dan Random Forest (81%). Analisis kata-kata dominan mengungkapkan apresiasi pengguna atas kemudahan dan kecepatan layanan, serta keluhan teratas tentang pemadaman listrik yang lama dan kendala pembayaran dan keluhan. Temuan ini menegaskan keunggulan Naïve Bayes dalam teks revisi bahasa Indonesia yang sederhana sekaligus memberikan masukan praktis untuk meningkatkan kualitas layanan PLN Mobile.
RANCANG BANGUN GAME EDUKASI BERBASIS MOBILE UNTUK PEMBELAJARAN SISTEM PENCERNAAN MANUSIA PADA SISWA KELAS V SEKOLAH DASAR Fadillah wahyu ramadhan; Rara Sriartati Redjeki
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 No. 03, September 2026 Release
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.57894

Abstract

Science learning, particularly the topic of the human digestive system, still faces challenges in the form of less interactive learning media and students' difficulties in understanding abstract concepts. This study aims to design, develop, and evaluate the feasibility and effectiveness of an Android-based educational game as a learning medium for the human digestive system topic among fifth-grade elementary school students. This research employed the Research and Development (R&D) method with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The game was developed using Construct 3, featuring learning content, animation, educational mini-games, evaluation quizzes, and an automatic scoring system. Testing was conducted through expert validation by media experts, content experts, and teaching practitioners, followed by a trial involving 10 fifth-grade students using a pre-test and post-test design. The results show that the media obtained an average validation score of 3.4 out of 4 (feasible category), with an improvement in learning outcomes from an average pre-test score of 65 to a post-test score of 85 (N-Gain of 0.57, moderate category), and a student response score averaging 3.8 out of 4 (good category). This study concludes that the Android-based educational game on the human digestive system, developed using Construct 3, is feasible and effective as a science learning medium to improve elementary students' understanding and learning motivation.
Pemodelan Sentimen Komentar YouTube Berbasis Naive Bayes Hari Murti; Rara Sriartati Redjeki; Novita Mariana; Agus Prasetyo Utomo; Widiyanto Tri Handoko
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 6 No. 1 (2026): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v6i1.8767

Abstract

Social Network Analysis (SNA) is a crucial quantitative methodology for mapping relationships and identifying connectivity structures within a group. This research specifically explores the use of the NetworkX library in Python as an effective tool for analyzing social networks. The primary objective of this study is to apply the Degree Centrality method to measure the level of connectivity and identify the most popular actors in a social network. The methodology employed is the quantitative analysis of an undirected graph modeled from the us_edgelist.csv dataset, which contains a list of relationships among political figures in an edge list format. Data processing utilized pandas, and the graph object was constructed using NetworkX. Degree Centrality was calculated for each node, with the results being normalized to provide a relative value. This normalization allows for a direct comparison of how active each actor is within the network. The centrality results were then visualized, with node sizes adjusted based on their Degree Centrality score. The results of the analysis indicate that figures like Bush and Obama possess the highest Degree Centrality score, 0.25, suggesting they have the greatest number of direct connections in this network. This high value confirms their role as the most active or central actors in the exchange and interaction within the political network studied. This finding validates the effectiveness of Degree Centrality as an indicator of high involvement. The study concludes that the implementation of Social Network Analysis using NetworkX provides a robust framework for understanding political relationship structures. Therefore, Degree Centrality is a reliable metric for quantifying actor activity and accurately identifying individuals who form the center of connections within the network.
Co-Authors - Sunardi achmad, haidhar Agus Prasetyo Utomo ANDAWANERI, MARETHA Arief Jananto Budi Hartono budi hartono Dwi Agus Diartono Dwi Budi Santoso Dwi Budi Santoso Edy Supriyanto Edy Supriyanto Edy Supriyanto Eka Ardhianto Eko Nur Wahyudi Endang Lestariningsih Eri Zuliarso Fadillah wahyu ramadhan Fakhri Zufar Abhirama Fitika Andraini Galuh Pradana haidhar achmad Hari Murti Hari Murti Helmy Agta Al Fatah Luh Putu Ratna Sundari Lulu Rachel Avisa Merita Cahya Kurniasari Murti, Hari Nova Fadhilah Rahmadian Novita Mariana NURUL R, DIKA Purwatiningtyas Purwatiningtyas R. Soelistijadi Sariyun Naja Anwar Setyawati, Apriliana Sulastri Sulastri Theresi Dwiati Wismarini Theresia Dwiati Wismarini Utomo, Agung Prasetyo Veronica Lusiana W. T. Handoko Widiyanto Tri Handoko Wismarini, Th Dwiati WT Handoko Yohanes Suhari Yulizar, Muhammad