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All Journal Information Technology and Telematics Dinamik Bulletin of Electrical Engineering and Informatics JUSIFO : Jurnal Sistem Informasi Suhuf Jurnal Teknoinfo Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknik Informatika UNIKA Santo Thomas KACANEGARA Jurnal Pengabdian pada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Tekno Kompak Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Pengabdian Masyarakat Bumi Raflesia JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Rekayasa Industri (JRI) Jurnal Tunas Infotek : Jurnal Informatika dan Teknologi Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Bulletin of Information Technology (BIT) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Duta Abdimas: Jurnal Pengabdian Masyarakat Jurnal Pendidikan Indonesia (Japendi) Jurnal Pengabdian Pada Masyarakat ITIJ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat Jurnal Teknik Informatika dan Teknologi Informasi
Eko Nur Wahyudi
Universitas Stikubank
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PELATIHAN FOTOGRAFI SEKOLAH GUNA PELATIHAN FOTOGRAFI SEKOLAH GUNA MENCIPTAKAN KARYA VISUAL YANG MENGINSPIRASI BAGI GURU DAN SISWA SMK/SMA DI SEMARANG: PELATIHAN FOTOGRAFI SEKOLAH GUNA MENCIPTAKAN KARYA VISUAL YANG MENGINSPIRASI BAGI GURU DAN SISWA SMK/SMA DI SEMARANG Nur Wahyudi, Eko; Anis, Yunus; Mulyani, Sri
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 7 No. 3 (2024): Desember: Jurnal Pengabdian Kepada Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

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Abstract

Pelatihan fotografi di lingkungan sekolah memiliki peran penting dalam mengembangkan kreativitas visual dan keterampilan teknologi bagi guru dan siswa. Artikel ini membahas kegiatan pengabdian kepada masyarakat yang berjudul "Pelatihan Fotografi Sekolah Guna Menciptakan Karya Visual yang Menginspirasi bagi Guru dan Siswa SMK/SMA di Semarang". Tujuan utama dari pelatihan ini adalah untuk memperkenalkan teknik dasar fotografi serta cara memanfaatkan kamera digital atau smartphone dalam menciptakan karya visual yang menarik dan bermakna. Melalui pelatihan ini, guru diharapkan mampu menggunakan fotografi sebagai media pembelajaran interaktif di kelas, sementara siswa dapat mengekspresikan kreativitas mereka melalui gambar yang memiliki nilai estetika dan edukasi. Kegiatan ini dilaksanakan dalam bentuk workshop yang melibatkan teori dan praktik langsung. Hasil dari pelatihan menunjukkan peningkatan pemahaman peserta terhadap teknik dasar fotografi, komposisi gambar, dan editing sederhana. Dampaknya terhadap masyarakat, khususnya lingkungan sekolah, terlihat dari meningkatnya kemampuan guru dan siswa dalam menghasilkan karya visual yang dapat digunakan sebagai media informasi dan promosi sekolah, sehingga menginspirasi dan mempererat hubungan dengan komunitas sekitar. Dengan demikian, program ini tidak hanya membantu meningkatkan keterampilan fotografi di kalangan guru dan siswa, tetapi juga berkontribusi pada pengembangan pembelajaran berbasis visual di sekolah.
Unsupervised Clustering Untuk Pengolahan Data Kemiskinan di Jawa Tengah Dengan Menggunakan Metode Self-Organizing Maps Anis, Yunus; Wahyudi, Eko Nur; Mulyani, Sri
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6439

Abstract

This study aims to analyze and cluster poverty data in Central Java using the Self-Organizing Maps (SOM) method, an approach in unsupervised learning that is efficient in mapping multidimensional data into two-dimensional representations. The poverty data used includes various socio-economic indicators, such as income, education, health access, and housing conditions. By applying SOM, this study attempts to identify hidden patterns and relationships between variables that contribute to poverty in each region in Central Java. The results of this clustering are expected to provide deeper insight into the characteristics and distribution of poverty, as well as assist in making more targeted policies in poverty alleviation efforts. This study shows that the SOM method is able to effectively group areas with similar poverty characteristics, and provide visualizations that facilitate understanding of the complexity of poverty data in Central Java. The implementation of this method is able to produce 4 groups / clusters of poverty levels which are expected to be the basis for further research in socio-economic mapping, as well as a tool in planning and evaluating poverty alleviation programs at the regional level.
Pelatihan Tracer Study Siswa SMK-01 Tonjong Brebes Untuk Mengukur Lulusan Pendidikan Vokasi Yunus Anis; Hersatoto Listiyono; Retnowati; Eko Nur Wahyudi; Sri Mulyani
Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat Vol. 2 No. 2 (2024): Juni
Publisher : CV. Nature Creative Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/servis.v2i2.89

Abstract

Pendidikan vokasi bertujuan untuk membekali siswa dengan keterampilan dan pengetahuan yang dibutuhkan untuk siap bekerja di dunia industri. Dalam rangka mengevaluasi efektivitas program pendidikan vokasi, SMK-01 Tonjong Brebes menyelenggarakan pelatihan tracer study bagi para siswanya. Tracer study merupakan metode penelitian yang bertujuan untuk melacak pencapaian lulusan pendidikan vokasi, seperti bekerja, melanjutkan pendidikan, atau berwirausaha. Penelitian ini bertujuan untuk mendeskripsikan program pelatihan tracer study yang dilaksanakan oleh SMK-01 Tonjong Brebes, menganalisis efektivitas program pelatihan dalam membekali siswa dengan keterampilan melakukan tracer study, serta membahas implikasi temuan penelitian untuk peningkatan pendidikan vokasi. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan analisis dokumen. Hasil penelitian menunjukkan bahwa program pelatihan tracer study di SMK-01 Tonjong Brebes cukup efektif dalam membekali siswa dengan keterampilan melakukan tracer study. Temuan penelitian ini menunjukkan bahwa pelatihan tracer study merupakan salah satu strategi yang dapat dilakukan oleh sekolah vokasi untuk meningkatkan efektivitas evaluasi lulusan dan menyesuaikan program pendidikan dengan kebutuhan dunia kerja. Penelitian ini memiliki beberapa implikasi penting bagi kebijakan dan praktik pendidikan vokasi. Penelitian ini memberikan kontribusi yang berharga bagi pengembangan pendidikan vokasi di Indonesia. Dengan menerapkan pelatihan tracer study dan memanfaatkan hasil tracer study secara optimal, sekolah vokasi dapat meningkatkan kualitas lulusannya dan menghasilkan lulusan yang siap kerja dan berdaya saing di dunia industri.
Pendekatan Graph-Based Community Detection dalam Social Network Analysis Jaringan Undang-Undang Republik Indonesia 2014-2024 Wibisono, Setyawan; Wahyudi, Eko Nur; Hadikurniawati, Wiwien; Lestariningsih, Endang; Cahyono, Taufik Dwi
Dinamik Vol 30 No 2 (2025)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v30i2.10218

Abstract

This study evaluates the performance of three community detection algorithms—Leiden, Infomap, and Label Propagation—on the legal network of the Republic of Indonesia spanning the period 2014–2024. The network consists of 679 nodes and 2,295 edges, constructed based on citation relationships among regulations. The evaluation employs four network topology metrics: modularity, coverage, conductance, and inter-cluster density. Results show that the Leiden algorithm achieves the highest modularity score (0.522991), indicating the formation of communities with strong internal density. Additionally, it yields the lowest conductance value (0.302455), suggesting relatively well-isolated communities. In contrast, the Label Propagation algorithm produces the highest coverage (0.835294) and inter-cluster density (0.542331), but with a lower modularity (0.431583), reflecting the formation of large communities with less distinct boundaries. Infomap exhibits moderate performance, with a modularity score of 0.508406 and inter-cluster density of 0.420803, yet records a relatively high conductance (0.410409). Network visualizations reveal three major communities for each algorithm, representing thematic clusters such as institutional governance, constitutional law, and public finance. Overall, the Leiden algorithm is considered the most optimal for detecting modular, stable, and thematically coherent community structures within the complex and interrelated network of Indonesian laws.
Social Network Analysis untuk Pemeringkatan Popularitas Makanan Cepat Saji Menggunakan Metode PSI Wibisono, Setyawan; Hadikurniawati, Wiwien; Lestariningsih, Endang; Wahyudi, Eko Nur; Cahyono, Taufiq Dwi
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 9 No. 1 : Tahun 2024
Publisher : LPPM UNIKA Santo Thomas

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Abstract

This research aims to rank the popularity of fast-food brands in Indonesia based on Twitter conversations using the Preference Selection Index (PSI) method and validate the results with COPRAS and AHP-COPRAS methods. Data were obtained by crawling Twitter from April 21, 2023, to April 28, 2023. Seven well-known brands, such as KFC, MCD, PizzaHut, Hokben, Solaria, JCo, and Richeese, were evaluated as alternatives using eight criteria through Social Network Analysis. The criteria were categorized into advantageous and disadvantageous, and preference values were calculated using PSI. After normalizing the decision matrix, calculations were performed for preference variation and overall preference values. Alternatives were ranked based on the preference selection index, and the results were validated with COPRAS and AHP-COPRAS. The results revealed significant differences in rankings between the PSI method and others. The alternative that received the highest rank changed from A2 (COPRAS and AHP-COPRAS) to A3 (PSI). This emphasizes the importance of choosing the right method for brand ranking, as it can influence decision-making. Method validation through result comparison with other methods provides additional insights into the reliability of the PSI method in the context of this research.
Social Network Analysis untuk Pemeringkatan Popularitas Makanan Cepat Saji Menggunakan Metode PSI Wibisono, Setyawan; Hadikurniawati, Wiwien; Lestariningsih, Endang; Wahyudi, Eko Nur; Cahyono, Taufiq Dwi
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 9 No. 1 : Tahun 2024
Publisher : LPPM UNIKA Santo Thomas

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

Abstract

This research aims to rank the popularity of fast-food brands in Indonesia based on Twitter conversations using the Preference Selection Index (PSI) method and validate the results with COPRAS and AHP-COPRAS methods. Data were obtained by crawling Twitter from April 21, 2023, to April 28, 2023. Seven well-known brands, such as KFC, MCD, PizzaHut, Hokben, Solaria, JCo, and Richeese, were evaluated as alternatives using eight criteria through Social Network Analysis. The criteria were categorized into advantageous and disadvantageous, and preference values were calculated using PSI. After normalizing the decision matrix, calculations were performed for preference variation and overall preference values. Alternatives were ranked based on the preference selection index, and the results were validated with COPRAS and AHP-COPRAS. The results revealed significant differences in rankings between the PSI method and others. The alternative that received the highest rank changed from A2 (COPRAS and AHP-COPRAS) to A3 (PSI). This emphasizes the importance of choosing the right method for brand ranking, as it can influence decision-making. Method validation through result comparison with other methods provides additional insights into the reliability of the PSI method in the context of this research.
MFEP-Based Evaluation of Public Information Governance with Socio-Technical and Data Lifecycle Perspectives Retnowati, Retnowati; Eko Nur Wahyudi; Purwatiningtyas
Information Technology International Journal Vol. 3 No. 1 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i1.52

Abstract

In the era of public information disclosure, public information management is essential for transparency, accountability, and citizen participation. This study assesses eight Public Information Management Officers (PPID) in Central Java, Indonesia, utilizing 21 variables measured by a Multi-Factor Evaluation Process (MFEP) based on Data Lifecycle Management (DLM) and Socio-Technical Systems (STS). Data was collected using Likert-scale questionnaires, and performance was assessed using Evaluation Weight Value (EWV) and Total Evaluation Weight (TEW). The results suggest that technology-related indicators outperformed human competency and regulatory compliance. "Use" and "Disposal" were the DLM phases with the worst performance, demonstrating deficiencies in data accountability and infrastructure. In STS, the "People" dimension lagged, emphasizing the need for capacity building. The findings indicate that, while digital infrastructure is robust, governance and human resource development require strengthening. Strategic improvements in underperforming sectors are suggested to strengthen public information governance.
Enhancing skin cancer detection using transfer learning and AdaBoost: a deep learning approach Listiyono, Hersatoto; Retnowati, Retnowati; Purwatiningtyas, Purwatiningtyas; Nur Wahyudi, Eko; Maskur, Ali
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.10379

Abstract

Skin cancer is one of the most prevalent types of cancer worldwide, with early detection playing a critical role in improving patient outcomes. In this study, we propose a deep learning model based on LeNet-7 combined with adaptive boosting (AdaBoost) to classify skin lesions as either benign or malignant using the International Skin Imaging Collaboration (ISIC) dataset. We evaluate the proposed model alongside other well-established deep learning architectures, such as residual network (ResNet), VGGNet, and the traditional LeNet model, through various performance metrics including precision, recall, F1-score, specificity, Matthew’s correlation coefficient (MCC), area under the receiver operating characteristic curve (AUC-ROC), and testing accuracy. Our results demonstrate that the proposed model (LeNet-7+AdaBoost) significantly outperforms the other models, achieving a testing accuracy of 91.3%, precision of 0.92, recall of 0.91, and AUC-ROC of 0.93. The model successfully addresses issues of overfitting and generalization, providing a robust solution for skin cancer classification. However, some misclassifications of visually similar benign and malignant lesions highlight areas for future improvement. The proposed model shows promise in real-world medical applications and paves the way for further research into optimizing deep learning models for skin cancer detection.
Pemeringkatan Popularitas Dompet Digital dengan Pendekatan SNA-OCRA Al Amin, Imam Husni; Amin, Fatkhul; Wibisono, Setyawan; Lestariningsih, Endang; Wahyudi, Eko Nur
Jurnal Tekno Kompak Vol 18, No 1 (2024): FEBRUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v18i1.3616

Abstract

Abstrak−Penelitian ini mengkaji popularitas produk dompet digital berdasarkan percakapan Twitter dengan pendekatan hibrid Social Network Analysis (SNA) dan Operational Competitiveness Ratings Analysis (OCRA). SNA menganalisis interaksi pengguna dalam percakapan dompet digital, sementara OCRA memberikan pemeringkatan berdasarkan kriteria yang berasal dari network properties pada SNA. Dalam konstruksi SNA akan diperoleh banyak network properties yang tercatat, namun dalam penelitian ini network properties yang digunakan sebagai kriteria adalah Node, Edges, Average Degree, Modularity, Diameter, Density, Average Path Length, Connected Component. Kemudian OCRA memberikan perhitungan pemeringkatan popularitas dompet digital berdasarkan kriteria. Hasil dari penelitian ini menyatakan bahwa dompet digital dengan kode alternatif A2 menduduki peringkat tertinggi dengan nilai indeks seleksi preferensi 603.3993893. Dompet digital dengan kode alternatif A3 menduduki peringkat terendah dengan nilai indeks seleksi preferensi 4.903316045.Hasil ini mencerminkan popularitas merek dompet digital berdasarkan percakapan Twitter dan analisis jaringan sosial. Validasi hasil penelitian ini dilakukan dengan membandingkan peringkat popularitas penelitian ini dengan nilai properti aplikasi dompet digital pada playstore. Apabila popularitas di playstore didasarkan pada jumlah download aplikasi dompet digital, maka dompet digital paling populer pada playstore adalah A2 dengan jumlah download 100 juta lebih. Hasil ini mengindikasikan hasil yang sama dengan penelitian ini yang menempatkan dompet digital dengan kode A2 sebagai yang terpopuler. Apabila popularitas di playstore didasarkan pada jumlah ulasan aplikasi dompet digital, maka dompet digital paling populer pada playstore adalah A2 dengan jumlah ulasan sekitar 13 juta. Hasil ini mengindikasikan hasil yang sama dengan penelitian ini yang menempatkan dompet digital dengan kode A2 sebagai yang terpopuler. Apabila popularitas di playstore didasarkan pada rating dompet digital, maka dompet digital paling populer pada playstore adalah A3 dengan rating 4,7 sedangkan A2 menduduki peringkat kedua dengan rating sebesar 4,6. Hasil ini mengindikasikan hasil yang sedikit berbeda dengan penelitian ini yang menempatkan dompet digital dengan kode A2 sebagai yang terpopuler. Berdasarkan hasil validasi ini dapat disimpulkan bahwa apabila dicari dompet digital yang menempati peringkat pertama pada sisi popularitas, maka antara hasil penelitian ini dengan nilai properti aplikasi pada playstore hanya terdapat sedikit perbedaan saja, namun variasi perbedaan akan muncul pada peringkat-peringkat di bawahnya.Kata Kunci: pemeringkatan, popularitas, dompet digital, Twitter, SNA, OCRA
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.
Co-Authors . Narwati Adi Suryanto Adi, Triatmojo Agus Prasetyo Utomo Ali Maskur Andreantoni, Jefry Arief Jananto Arief Susanto Artin Bayu Mukti Azhari, Andi Budi Hartono budi hartono Cahyono, Taufik Dwi Cici Suhartini Dwi Agus Diartono Dwi Budi Santoso Edy Supriyanto Edy Supriyanto Edy Supriyanto Eka Ardhianto Endang Lestariningsih Fatkhul Amin Fitika Andraini Hardiyanti, Widhian Hari Murti Hari Murti Heribertus Yulianton Herny Februariyanti Herny Februariyanti Hersatoto Listiyono Imam Husni Al Amin Jati Sasongko Wibowo Kristophorus Hadiono Kurniawan, Harnanda Cahya LUKITO, ADAM Mardi Siswo Utomo Mohamad Ali Muhammad A.R. Hidayat Novita Mariana P Purwatiningtyas Purwatiningtyas Purwatiningtyas Purwatiningtyas Purwatiningtyas Purwatiningtyas Purwatiningtyas, P R. Soelistijadi Radyanto, Mohammad Riza Rara Sri Artati Redjeki Retnowati Retnowati Retnowati Retnowati Retnowati Retnowati Retnowati Reza Haris Alfikri Rizal, Ansar Sariyun Naja Anwar Setyawan Wibisono Sri Mulyani Sri Mulyani Sugiyamto Sugiyamto, Sugiyamto Sulastri Sunardi Sunardi Suparmanto, Lulut Taufiq Dwi Cahyono Teguh Khristianto Theresi Dwiati Wismarini Theresia Dwiati Wismarini Veronica Lusiana Vici Tiara Anjarsari Wahrudin, Wahrudin Widianto Tri Handoko Widiyanto Tri Handoko Wismarini, Th Dwiati Wiwien Hadikurniawati Yohanes Suhari Yunus Anis Yunus Anis, Yunus Ziana, Liana Rahma Zuly Budiarso