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All Journal Jurnal Ilmiah Informatika Komputer Techno.Com: Jurnal Teknologi Informasi Jurnal Informatika dan Teknik Elektro Terapan JAIS (Journal of Applied Intelligent System) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Batoboh : Jurnal Pengabdian Pada Masyarakat JURIKOM (Jurnal Riset Komputer) Jurnal Manajemen Informatika Jurnal Informatika Kaputama (JIK) Jurnal Kridatama Sains dan Teknologi Jurnal Manajemen Informatika dan Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Komputer & Kecerdasan Buatan Parameter Journal of Innovation Information Technology and Application (JINITA) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Informasi dan Sistem Komputer Jurnal Teknik Informatika (JUTIF) Jurnal AbdiMas Nusa Mandiri JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Jurnal Pengabdian Teknologi Tepat Guna Jurnal Difusi Jurnal Pengabdian Masyarakat IPTEK Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) TRANSFORMASI : JURNAL PENGABDIAN PADA MASYARAKAT Journal of Economic, Business and Engineering (JEBE) Jurnal Pengabdian kepada Masyarakat Desa (JPMD) Journal of Computer Science and Informatics Engineering Toba: Journal of Tourism, Hospitality, and Destination Dulang: Jurnal Pengabdian Kepada Masyarakat PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Sains Informatika Terapan (JSIT) Jurnal Pengabdian Masyarakat Fakultas Teknik: Jurnal Abditek Abdi Makarti Jurnal Pengabdian Masyarakat Bhinneka SAINSTECH: Jurnal Penelitian dan Pengkajian Sains dan Teknologi Dharma Pengabdian Perguruan Tinggi (DEPATI) Journal of Artificial Intelligence and Digital Business Mestaka: Jurnal Pengabdian Kepada Masyarakat Innovative: Journal Of Social Science Research TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Journal of Data Science Theory and Application Tabsyir: Jurnal Dakwah Dan Sosial Humaniora AL-KARIM: Journal of Islamic and Educational Research Jurnal Pengabdian Kepada Masyarakat (JPKM) Al-Nizam: Indonesian Journal of Research and Community Service Jurnal Intelek Dan Cendikiawan Nusantara EDUJAVARE: International Journal of Educational Research Jurnal Tarreang: Tren Pengabdian Masyarakat Agrokompleks Inovasi Gagasan Abdimas & Kuliah Kerja Nyata WISDOM : Jurnal Pengabdian Kepada Masyarakat Wisdom LogicLink: Journal of Artificial Intelligence and Multimedia in Informatics Fundamentum: Jurnal Pengabdian Multidisiplin Academic Journal of Islamic Principles and Philosophy Jurnal Pengabdiaan Masyarakat Larisma Journal of Community Research & Engagement (JCRE) Jipmas : Journal Inovasi Pengabdian Masyarakat Jurnal Lentera: Penelitian dan Pengabdian Masyarakat DCS: Jurnal Pengabdian Masyarakat Man-Ana Smart Humanity: Jurnal Pengabdian Masyarakat JES-TM Social and Community Service Jurnal Teknologi Pendidikan Jurnal Pengabdian kepada Masyarakat (DIASYA) Kolaborasi Masyarakat NJCOM: Community Service Journal Journal of Applied Community Service and Innovation BHAKTI Bhinneka Al-Madrasah: Jurnal Pendidikan, Pembelajaran dan Kebudayaan Jurnal Pengabdian IPTEK IKHTIAR: Jurnal Pengabdian Kepada Masyarakat Abdimas Altruis: Jurnal Pengabdian kepada Masyarakat
Imam Prayogo Pujiono
UIN K.H. Abdurrahman Wahid Pekalongan
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ANALISIS EFEKTIVITAS TEKNIK INDEXING TERHADAP WAKTU EKSEKUSI QUERY SQL PADA BASIS DATA TRANSAKSI E-COMMERCE M Aldy Zulfa Saputra; Muchammad Soufwan Fauzi; Rangga Dzikri Fardiansyah; Zaki Kafila Pamungkas; Dicky Anggriawan Nugroho; Imam Prayogo Pujiono
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 6, No 2 (2026): JEIS EDISI JULI 2026
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jeis.vol6no2.1076

Abstract

This study examines the effect of indexing techniques on SQL query execution speed in a MySQL-based e-commerce transaction database. Performance issues often arise as data volume increases because the system must scan the entire table, resulting in slow response times. To analyze this problem, this study employed a pure experimental method by testing three index conditions: no index, a single index, and a composite index. Testing was conducted using a synthetic dataset of 20,000 rows depicting e-commerce transaction activity. Each condition was evaluated using a series of SELECT queries. Measurements were made through execution time and execution plans displayed by the EXPLAIN command. The results showed that using indexes provided a significant performance improvement. A single index successfully reduced execution time from 0.2380 seconds to 0.0740 seconds, while a composite index resulted in an execution time of 0.0900 seconds. Both types of indexes reduced the number of rows scanned across the entire table to only tens of rows. A single index is more suitable for simple queries with high selectivity, while a composite index is more effective for queries with more than one condition. However, implementing an index requires additional storage space and causes the data write process to run slightly slower. Overall, this study confirms that an indexing strategy tailored to query patterns and data characteristics can significantly improve the performance of e-commerce transaction databases.Penelitian ini mengkaji pengaruh teknik indexing terhadap kecepatan eksekusi query SQL pada basis data transaksi e-commerce berbasis MySQL. Gangguan kinerja sering muncul ketika jumlah data meningkat karena sistem harus melakukan pemindaian seluruh tabel yang menyebabkan waktu respon menjadi lambat. Untuk menganalisis permasalahan tersebut, penelitian ini menerapkan metode eksperimen murni dengan menguji tiga kondisi indeks yaitu tanpa indeks, indeks tunggal, dan indeks komposit. Pengujian dilakukan menggunakan dataset sintetis berjumlah 20.000 baris yang menggambarkan aktivitas transaksi e-commerce. Setiap kondisi dievaluasi menggunakan serangkaian query SELECT. Pengukuran dilakukan melalui waktu eksekusi dan rencana eksekusi yang ditampilkan oleh perintah EXPLAIN. Hasil penelitian menunjukkan bahwa penggunaan indeks memberikan peningkatan performa yang sangat signifikan. Indeks tunggal berhasil menurunkan waktu eksekusi dari 0,2380 detik menjadi 0,0740 detik, sedangkan indeks komposit menghasilkan waktu eksekusi 0,0900 detik. Kedua jenis indeks ini mengurangi jumlah baris yang dipindai dari seluruh tabel menjadi hanya puluhan baris. Indeks tunggal lebih sesuai untuk query sederhana dengan selectivity yang tinggi, sedangkan indeks komposit lebih efektif untuk query yang memiliki lebih dari satu kondisi. Meskipun demikian, penerapan indeks memerlukan ruang penyimpanan tambahan dan menyebabkan proses penulisan data berjalan sedikit lebih lambat. Secara keseluruhan, penelitian ini menegaskan bahwa strategi indexing yang disesuaikan dengan pola query dan karakteristik data mampu meningkatkan performa basis data transaksi e-commerce secara signifikan
ANALISIS KOMPARATIF EFISIENSI WAKTU DAN MEMORI: LINEAR, BINARY, DAN HASH SEARCH BERBASIS C++ Meila Fitri Amin; Firda Rona Syahira; Ikhsan Maulanaa; Nevi Dwi Apriyanti; Imam Prayogo Pujiono
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 6, No 2 (2026): JEIS EDISI JULI 2026
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jeis.vol6no2.1085

Abstract

This study aims to analyze the comparative memory efficiency and computation time of three commonly used data search algorithms in C++ programming: Linear Search, Binary Search, and Hash Search. This study analyzes the performance of each algorithm based on two main aspects: execution speed and memory usage, to determine the most appropriate algorithm for various data conditions. The research method used was a quantitative comparative experiment, where each algorithm was implemented in C++ and tested on three data size scenarios (100, 1000, and 10,000 elements). The results obtained indicate that Binary Search has the best balance between speed and memory efficiency. At the same time, Linear Search is more suitable for small data sizes due to its simplicity of implementation. Conversely, Hash Search has high search speed but requires more memory. Therefore, the selection of the appropriate search algorithm should be tailored to the characteristics of the data and system requirements. This study is expected to serve as a reference for software developers in selecting the optimal search algorithm based on computational resource efficiency.Penelitian ini bertujuan untuk menganalisis perbandingan efisiensi memori dan waktu komputasi pada tiga algoritma pencarian data yang umum digunakan dalam pemrograman C++, yaitu Linear Search, Binary Search, dan Hash Search. Penelitian ini menganalisis kemampuan kerja pada masing-masing algoritma berdasarkan dua aspek utama, yakni kecepatan eksekusi dan penggunaan memori, agar dapat menentukan algoritma yang paling sesuai untuk berbagai kondisi data. Metode penelitian yang digunakan adalah eksperimen komparatif kuantitatif, di mana setiap algoritma diimplementasikan menggunakan bahasa C++ dan diuji pada tiga skenario ukuran data (100, 1000, dan 10000 elemen). Hasil yang diperoleh menunjukkan bahwa Binary Search memiliki kinerja paling seimbang antara kecepatan dan efisiensi memori, sedangkan Linear Search lebih cocok untuk data yang ukuranya kecil karena kesederhanaan implementasinya. Sebaliknya, Hash Search memiliki kecepatan pencarian yang tinggi, tetapi membutuhkan memori lebih besar. Dengan demikian, pemilihan algoritma pencarian yang tepat sebaiknya disesuaikan dengan karakteristik data dan kebutuhan sistem. Penelitian ini diharapkan dapat menjadi acuan bagi pengembang perangkat lunak dalam memilih algoritma pencarian yang optimal berdasarkan efisiensi sumber daya komputasi
Hybrid Cryptography-Steganography Scheme Based on Camellia-256 and LSB for Enhanced Security and Imperceptibility of Secret Messages Pujiono, Imam Prayogo; Rachmawanto, Eko Hari; Sari, Christy Atika; Ariza, Said Fachri; Kholifatun, Isnaeni
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5323

Abstract

The development of digital communications has increased the risk of message interception and manipulation, necessitating robust and multi-layered security solutions. This research designs, implements, and evaluates a multi-layered security scheme that integrates cryptography and steganography. The proposed method first encrypts the secret message using the Camellia-256 algorithm in Electronic Codebook (ECB) mode with PKCS#7 padding. The resulting ciphertext is then embedded into the cover image using the Least Significant Bit (LSB) steganography technique. From a practical standpoint, this design provides defense-in-depth for covert communication: encryption preserves confidentiality even if the hidden payload is detected, while steganography reduces the likelihood that the encrypted content is flagged during transmission. This combination mitigates LSB’s weakness against statistical steganalysis by encrypting the payload into ciphertext, thereby reducing structured bit patterns that may otherwise facilitate statistical detection. System performance is quantitatively evaluated using two primary metrics: the Avalanche Effect to measure cryptographic strength and the Peak Signal-to-Noise Ratio (PSNR) to measure the visual imperceptibility of the stego-image. The experimental results demonstrate excellent cryptographic strength, evidenced by an average Avalanche Rate of 54.37%, indicating that minimal changes to the input result in significant changes to the output. Furthermore, the scheme exhibits excellent visual imperceptibility with an average PSNR of 75 dB, making the stego-image visually indistinguishable from the original cover image. It is concluded that the proposed hybrid scheme offers a robust and validated solution for secure message communication, combining content confidentiality through cryptography and message obfuscation through steganography, thus providing dual protection against cybersecurity threats.
Pelatihan Penulisan Karya Akademik Kolaboratif Berbentuk Book Chapter Berbantuan AI bagi Mahasiswa PAI M. Lukman Hakim Elkominoki; Imas Saffanatul Aminah; Imam Prayogo Pujiono; Arditya Prayogi; Riki Nasrullah
IKHTIAR: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2026): IKHTIAR: Jurnal Pengabdian Kepada Masyarakat (September)
Publisher : Penerbit Lestari Sakha Pustaka

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

Abstract

Artikel pengabdian kepada masyarakat ini membahas bagaimana pelatihan penulisan karya akademik kolaboratif berbentuk book chapter berbantuan AI dapat memperkuat literasi akademik mahasiswa calon guru Pendidikan Agama Islam (PAI). Kegiatan ini dilatarbelakangi oleh persoalan praktis di UIN K.H. Abdurrahman Wahid Pekalongan, yaitu mahasiswa telah mengenal perangkat digital, tetapi masih membutuhkan pendampingan terstruktur agar penggunaan teknologi dapat diarahkan pada penulisan akademik yang etis, kritis, dan layak dikembangkan menuju publikasi. Artikel ini memosisikan AI bukan sebagai pengganti kepengarangan, melainkan sebagai alat bantu untuk memetakan gagasan, menyusun kerangka, mengembangkan draf, merevisi, dan memperbaiki koherensi tulisan. Kegiatan dilaksanakan melalui pendekatan service learning dengan melibatkan 120 mahasiswa PAI melalui tahapan identifikasi kebutuhan, pemaparan konsep, praktik terbimbing, kerja kelompok, presentasi, dan refleksi. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap struktur book chapter, tumbuhnya kepercayaan diri dalam menulis akademik, serta tersusunnya draf awal book chapter kolaboratif bertema pendidikan Islam dan transformasi digital. Kegiatan ini juga menunjukkan perlunya pendampingan lanjutan terkait verifikasi sumber, sitasi, orisinalitas, dan finalisasi naskah menuju publikasi.
Comparison of Memory Efficiency and Computation Time of Bubble Sort, Insertion Sort, and Intro Sort Algorithms Using the C++ Programming Language Shabina Nur Fatmaluna; Nazwa Gista Aulia Nazwa; Adhiel Rahma Adhiel; Salma Aulia Salma; Imam Prayogo Pujiono Imam
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1858

Abstract

Data sorting is a fundamental step in the computer process that greatly affects the effectiveness of programs and overall system performance. In this study, three sorting algorithms, namely Bubble Sort, Insertion Sort, and Intro Sort, are analyzed and compared using recursive and iterative approaches. Bubble Sort serves as a basic algorithm example to understand the basic idea of element exchange, while Insertion Sort was chosen for its efficiency on small and nearly sorted datasets. Intro Sort, as a combination algorithm that integrates Quick Sort, Heap Sort, and Insertion Sort, was studied to reveal how its adaptive mechanism can provide more optimal results. The testing was conducted by measuring execution speed, sorting stability, and memory usage efficiency. The findings from this study show that Bubble Sort ranks lowest in terms of performance and is less suitable for large data sets. Insertion Sort shows better results on small data sets and those with similar patterns. Intro Sort emerges as the most effective algorithm with stable processing time, high adaptability, and faster and more efficient sorting results for various data sizes. Overall, this study emphasizes the importance of choosing a sorting algorithm that suits the characteristics of the data and the needs of the application. The combination of adaptive strategies such as those in Intro Sort is the best solution for current data processing, which demands high speed and efficiency.
Implementasi Algoritma CNN dengan Arsitektur MobileNet untuk Klasifikasi Citra Daun Herbal Fida Maisa Hana; Agung Prihandono; Agung Bakti; Nuril Lutvi Azizah; Imam Prayogo Pujiono
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9444

Abstract

Indonesia's diversity is very rich, one of which is that Indonesia has herbal plants which people believe are natural medicines for curing diseases. Herbal leaves show different variations in size and shape for each type, indicating that each leaf has special characteristics, shape, texture and size. Researchers used one of the Deep Learning methods, namely Convolutional Neural Network (CNN) for classifying herbal leaves. The field of image classification has found CNNs to be quite effective for image classification. CNN is a type of neural network with convolutional layers that has the ability to automatically extract important features from images. MobileNet is a CNN structure created by Google. MobileNet has advantages in efficient use of computing resources. Specifically, in the MobileNet network model, an attention module was added to improve the model's ability to extract more detailed image features, and dropout technology was added to prevent overfitting. This research method includes image preprocessing, training a convolutional neural network-based model, and evaluating its performance using accuracy, precision, recall, and F1 score metrics. Training was conducted for 20 epochs, and testing was conducted using data separated from the training data. The evaluation results show that the MobileNet model has the ability to extract visual features and produce herbal leaf image classification with an accuracy rate of 97.50% and precision, recall, and F1 scores of 98% each. The proposed model can be used in mobile-based herbal leaf identification applications due to its high performance and lightweight architecture. The stable accuracy curve at the final epoch indicates that the model does not experience significant overfitting and is able to generalize well to the test data
Video Game sebagai Media Sosialisasi Politik: Satu Telaah Arditya Prayogi; Nurifah Mumtazah; Salwa Salwa; Chomsah Rachmawati; Zahra Khoirunnisa; Riki Nasrullah; Imam Prayogo Pujiono
Tabsyir: Jurnal Dakwah dan Sosial Humaniora Vol. 7 No. 1 (2026): Januari: Tabsyir: Jurnal Dakwah dan Sosial Humaniora
Publisher : STAI YPIQ BAUBAU, SULAWESI TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59059/tabsyir.v7i1.2990

Abstract

The development of digital technology has positioned video games beyond mere entertainment to become a cultural medium with the potential to influence players' social and political perspectives. In this context, video games are seen as relevant as a medium for political socialization because they present interactive narratives, moral choices, and social simulations that allow players to directly experience dilemmas of power, justice, responsibility, and state-citizen relations. This article aims to analyze the potential of video games as a medium for political socialization, examine narrative elements that influence the formation of political awareness, and examine the possibility of integrating the Indonesian socio-cultural context into game narratives. This research uses a qualitative approach with a literature review design through a search of various literature sources. The results indicate that video games can serve as a medium for informal political socialization through participatory experiences, moral reflection, and the immersive internalization of political values. This potential will be further enhanced by incorporating local Indonesian contexts, such as mutual cooperation (gotong royong), diversity, and social justice. This study confirms that video games are worthy of being positioned as an educational-cultural medium that can expand political education models in the digital era.  
An Intelligent Search Adaptation Mechanism For Improving Retrieval Efficiency In Structured And Unstructured Data Environments M. Abyan Nuha; Atha Harshavardhana; Dara Amalia Azzahrah; Bintan Kamila; Harun Ibrahim Abdallah Mohammad; Nukman Zadi; Imam Prayogo Pujiono
Journal of Computer Science and Informatics Engineering Vol 5 No 3 (2026): July
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i3.1732

Abstract

Although data retrieval is a fundamental task in any computational system, search algorithms are often used statically and ignore runtime dataset properties. This frequently results in wasted computing power in structured, semi-structured, and unstructured data environments. This study presents a lightweight dynamic search algorithm selection framework called the Intelligent Search Adaptation Mechanism (ISAM), which operates at runtime and uses the cardinality, sortedness, and uniformity of the dataset's value distribution as criteria for selecting the optimal search algorithm. ISAM is an adaptive dispatch mechanism for selecting intelligent algorithms, unlike traditional algorithms.ISAM is an intelligent algorithm selection unified dispatch mechanism. ISAM has been tested with synthetic data sets of 1,000 to 1,000,000 elements implemented in C++. For unsorted datasets, the overhead incurred by ISAM is negligible, and for sorted datasets, it can reduce query latency by up to 73.1× over a non-adaptive baseline of Sequential Search. In fact, the retrieval performance is found to be close to the theoretical complexity of the chosen search algorithm, through scalability analysis. The results show how intelligent runtime search orchestration works well in a heterogeneous data environment.
Penguatan Kapasitas Parenting Inklusi melalui Workshop Partisipatif Berbasis Universal Design for Learning dan Studi Kasus Berbantu AI Arditya Prayogi; M. Adin Setyawan; Riki Nasrullah; Imam Prayogo Pujiono; Nurul Husnah Mustika Sari
Jurnal Pengabdian kepada Masyarakat (DIASYA) Vol. 2 No. 2 (2026): Jurnal Pengabdian Kepada Masyarakat (DIASYA)
Publisher : Rumah Jurnal PT Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/diasya.v2i2.298

Abstract

Kegiatan pengabdian ini berangkat dari kebutuhan penguatan literasi parenting inklusi pada komunitas pendidikan, terutama dalam memahami anak berkebutuhan khusus, mengurangi stigma, dan menerjemahkan prinsip pendidikan inklusif ke dalam praktik pengasuhan serta pembelajaran sehari-hari. Program dilaksanakan melalui workshop partisipatif yang memadukan edukasi konsep, refleksi kasus, pengenalan Universal Design for Learning (UDL), adaptasi kurikulum, dan pemanfaatan studi kasus berbantu AI secara terbatas. Metode pengabdian menggunakan pendekatan Participatory Learning and Action dengan tahapan pemetaan masalah, penyusunan materi, pelaksanaan workshop, praktik analisis kasus, dan evaluasi formatif. Instrumen yang digunakan meliputi lembar observasi proses, catatan diskusi, lembar refleksi, serta matriks rencana tindak lanjut. Hasil kegiatan menunjukkan bahwa materi parenting inklusi lebih mudah dipahami ketika peserta diajak membaca kasus konkret, membedakan model sekolah reguler, inklusi, dan SLB, serta menyusun strategi berbasis UDL sesuai kebutuhan anak. Integrasi AI membantu menghadirkan variasi skenario diskusi, tetapi tetap memerlukan kurasi fasilitator agar tidak menggantikan pertimbangan etik dan konteks lokal. Kegiatan ini penting sebagai model edukasi awal bagi orang tua, pendidik, dan calon pendidik untuk membangun lingkungan belajar yang aman, adaptif, dan tidak diskriminatif.
Pelatihan digital marketing melalui aplikasi TikTok untuk pelajar di Desa Rogoselo, Kabupaten Pekalongan Imam Prayogo Pujiono; Moh. Sugeng Solehuddin; Arditya Prayogi; Nur Azizah; Nurul Hikmah Sofyan; Dicky Anggriawan Nugroho
Abdimas Altruis: Jurnal Pengabdian kepada Masyarakat Vol 9 No 1 (2026): April 2026
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/aa.v9i1.32

Abstract

The development of information and communication technology in the digital era has made social media platforms like TikTok an effective tool for product marketing. However, in Rogoselo Village, Pekalongan Regency, this potential has not been optimally utilized due to three main problems: low digital literacy among students, limited access to digital marketing information, and the absence of training programs that guide the use of TikTok for productive purposes. Therefore, this community service activity was designed to improve students' understanding and skills in utilizing TikTok as a digital marketing tool to promote local potential. The training was conducted using a combination of presentation and practical methods. Presentation was used to convey theoretical material, while the practical method was used to practice creating TikTok content to promote the participants' products. The training results showed a significant increase in skills: out of 18 participants, the number who answered “Yes” increased by about 10 on average (ranging from 10 to 11 across the five evaluation items), indicating improved understanding and ability to use TikTok for digital marketing purposes. Challenges in the training, such as limited internet access, were overcome by providing portable hotspots. The conclusion of this activity confirmed that the training successfully improved participants' digital literacy and technical skills and opened up opportunities for developing a digital-based creative economy in Rogoselo Village.
Co-Authors A'izatul Haira, Nala Abdi Cahya Subekti Abdul Majid Abu Hanif I. F. Adhiel Rahma Adhiel Adi Handika Adi Handika Adib' Aunillah Fasya Agung Bakti Agung Prihandono Agung Prihandono Agustina, Risma Wati Agyztia Premana Ahmad Abdussalaam Ahmad Aufal Marom Ahmad Burhanuddin, Ahmad Ahmad Ta'rifin Ahmad Turmudi Ahmad Turmudi Aisyah Aisyah Aisyah Nur Ramadhani Ajib Susanto Akhmad Aufa Syukron Alawiyah, Vina Vitri Alfisyah, Ahmad Alfiyan Firmansyah Alina Putri As Salwa Alisha Zulfa Salsabila Amelya Agustin Andika Faza Setiawan Andy Rachman Anugrah, Anggita Dwi Anwar, M. Shokhib Anzaini, Sayla Salma Apriani, Nadisa Ardansyah , Dawam Ardhiartha P.U., Surya Arditya Prayogi Ariza, Said Fachri Armaylis Arfa Arum, Dewi Sekar Asfahani, Asfahani Atha Harshavardhana Aulia Miza, Nur Ayon Diniyanto Azazi, Firly Maulana Bagus Prasetyo Santoso Bangkit Rizka Hidayatullah Berliannanda, Anugrah F. Bintan Kamila Brilianu Sentanu Vito Chomsah Rachmawati Christy Atika Sari Dara Amalia Azzahrah Darutama, Ardiyan Dea Karuniawati Delviera Gea Florida Desi Lestari, Desi Desta Adyangga Saputra Diah Puspitaningrum Dian Sukmawati Sudrajat Dicky Anggriawan Nugroho Dicky Anggriawan Nugroho Dicky Anggriawan Nugroho Dicky Anggriawan Nugroho Dicky Anggriawan Nugroho Didi Purnomo Edi Suharyadi Edita Rayhanah Fairuz Eka Puji Rahayu Eko Hari Rachmawanto Eliza, Naila Nur Elvina Rizqi Emi Nurlaela Erwin Erwin Fachri Ali Fachri Ariza, Said Fadilah Zahra Dwi Kinanti Fadilah, Gita Faiz, Muhammad Fakhrul Arhabur Rizqi Fatkhatun Naela Ferida Rahmawati Fiantika Mutia Rahma Fida Maisa Hana Fida Maisa Hana Fira Sulistia Firda Aulia Izzati Firda Rona Syahira Firdaus Perdana Firdausi, Muh Izzat Firdausi, Muhammad Izzat Fitroh, Qorry Aina Fuad Naufal Ihsan Furqon Lanang Galang Satya Aulia Habibah, Adinda Destiani Hafizhah Azzahrani Haiqa Virly Azzahra Hakim Elkominoki, M. Lukman Hamdi Yahya, Muhammad Harun Ibrahim Abdallah Mohammad Hikmah Sofyan, Nurul Himawan, Inggil Ibnu Utomo Ihsanul Ahadin, Akbar Ikhsan Maulanaa Ikhsanuddin, Rohmatulloh Muhamad Ilham Dwijokangko Imam Prawira Imas Saffanatul Aminah Imas Saffanatul Aminah Imtinan Hanazain Indra Kurniawan Irfan Ali, Muhammad Jainul Arifin Jainul Arifin kamilah, Arina Kharisatul Karunia Raharjo Karunia Raharjo Kholifatun, Isnaeni Khotimah, Nur Kuat Ismanto Kuat Ismanto Lilik Riandita Lilik Riandita Lilina Dwi Anastasya Lina Azaria Linda Oktaviani Lukman Shodik M Aldy Zulfa Saputra M. Abyan Nuha M. Adin Setyawan M. Adin Setyawan M. Adin Setyawan M. Adin Setyawan M. Akmal Fatkhan Rifqi M. Arsyad Alkadafi M. Azka Failandri M. Lukman Hakim Elkominoki M. Syaifuddin M. Wildan Ahfadh Maesyaroh Maftuhin Meila Fitri Amin Moch. Nazril Ilham Mochamad Iskarim Moh. Sugeng Solehuddin Moh. Syaifuddin Moh. Syaifuddin Mohammad Syaifuddin Mualim Mualim Muchammad Soufwan Fauzi Mufidah, Haniatul Muhamad Ridwan Muhammad Agus Muhammad Anifan Muhammad Azka Bani Shalih Muhammad Fabian Ardhiansyah Muhammad Faiz Muhammad Farras Abiy Muhammad Noval Syafiq Sofi Muhammad Rikzam Kamal Muhammad Rikzam Kamal Muhammad Risqi Agung Pratama Muhammad Rofi Nur Fasyih Muhammad Yusuf Rusty Al Badar Muhammad Zaki Musyaffa Muhammad Zidni Nur Muqtafiy Muhammad Mutiara Sofia Ramadhani Nabil Yudha Syahputra Nadia Faradhillah, Nadia Nafisa Purnamasari Nafisha Putri Arsita Naila Mifrotul Ula Nazwa Gista Aulia Nazwa Nevi Dwi Apriyanti Nisa , Nabila Luthfiyatun Noorma Fitriana M. Zain Nugroho, Dicky Anggriawan Nukman Zadi Nur Azizah Nur Fatikhatul Jannah Nurifah Mumtazah Nuril Lutvi Azizah Nurul Hikmah Sofyan Nurul Hikmah Sofyan Nurul Husnah Mustika Sari Pasha Ferbitama Perdana, Firdaus Prabowo, Dimas Setiaji Pratomo Cahyo Kurniawan Putri, Adhystha Az-Zahra Putri, Pramesti Fadhila Pamuji Qurrota A’yun Raesya Satria Mikaelana rahayu, eka puji Rahma Syarifa Rahmawan Bagus Trianto Rakhiel Ghina Suraya Rangga Dzikri Fardiansyah Rangga Dzikri Fardiarsyah Regina Nur Aeni Rhischa Assabet Shilla Rhischa Assabet Shilla, Rhischa Assabet Riandita, Lilik Richa Qonitatin Lazaba Riki Nasrullah Riki Nasrullah Riki Nasrullah Riki Nasrullah Riyadi, Ridho Rizal, Muhamad Rizaludin Rizki Ramadani Rizqi Karima Rofiah, Nurul Hidayati Rohmad Abidin Rohmad Abidin Rohmah, Syifa Rohmatulloh Muhamad Ikhsanuddin Roshikhotun Muthi'ah Sabrina Ahmad Sabrina, Arum Rahma Putri Saffanatul Aminah, Imas Safinatunaja , Dhifa Saizi, Muhammad Salman Salma Aulia Salma Salsabila Amanda Salwa Salwa Satriaji Ammarulloh Shabina Nur Fatmaluna Shofiani, Rissa Singgih Setiawan Singgih Setiawan Singgih Setiawan Singgih Setiawan Sofia, Lailatul Sofiana, Sofa Sopiah, Sopiah Suci Lestari suharyadi suharyadi Syahda, Talitha Ulima Syaifuddin, Moh Syaifuddin, Moh. Syifa Rohmah Sylva Fahri Nailannaja Syukron, Akhmad Aufa Talitha Falakh Tasya Tiara Ananda Maulidia Tsalisa Yuliyanti Tsalisa Yuliyanti Tsaqib Fahmi Ahmad Ummy Fatimah Utomo, Surya Ardhiartha Putro Vierri Daffa Alief Widodo Hami Widodo Hami Wijanarto Wijanarto Winarsih, Nurul Anisa Sri Yasmin, Nazhifa Naura Yoga Religia Yunita Lisnaningtyas Utami Zahra Khoirunnisa Zahwa Arizza Arthamevia Zaki Kafila Pamungkas Zuhrufillah, Khafifah Zulmi Aulia Azhari Abbas