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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) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Duta Abdimas: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Pada Masyarakat ITIJ Journal of Innovative and Creativity Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat
Eko Nur Wahyudi
Universitas Stikubank
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Perluasan Pemasaran melalui Literasi Aplikasi Shopee bagi UMKM Paguyuban Lentera Mranggen Demak Supriyanto, Edy; Lestariningsih, Endang; Murti, Hari; Redjeki, Rara Sriartati; Handoko, Widiyanto Tri; Ardhianto, Eka; Soelistijadi, R.; Wismarini, Theresia Dwiati; Wahyudi, Eko Nur; Lusiana, Veronica
Jurnal Pengabdian Pada Masyarakat Vol 9 No 4 (2024): Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/jppm.v9i4.989

Abstract

Pelaku usaha UMKM adalah kelompok penting yang menggerakkan perekonomian mikro dimasyarakat. Paguyuban UMKM Lentera yang terletak di Mranggen Demak, sebelah timur pinggir kota Semarang, juga perlu mendapatkan perhatian untuk meningkatkan kemampuan pengelolaan dan pendapatan. Hal ini dilihat dari maraknya pembukaan minimarket yang tumbuh dibanyak area penduduk. Permasalahan yang dihadapai saat ini dalah area pemasaran yang terbatas dan jumlah pendapatan yang saat ini stagnan dan cenderung menurun. Solusi yang ditawarkan atas permasalahan adalah adanya ekspansi pasar melalui pembukaan toko online. Pelaksanaan kegiatan ini menggunakan teknik Participatoty Action Research (PAR) dengan bentuk seminar, pelatihan, dan pendampingan. Hasil yang diperoleh adalah meningkatnya pemahaman anggota UMKM Lentera terhadap manfaat, resiko penggunaan toko online, serta keberhasilan para anggota UMKM Lentera untuk membuka toko online sebesar 64,28% dari jumlah peserta keseluruhuan. Toko online yang dimiliki perserta lengkap dengan foto produk dan harga yang siap bersaing. Sebagai bentuk refleksi perlua danya pendampingan dan kegiatan secara berlanjut untuk meningkatkan pemasaran dari berbagai aspek. MSME entrepreneurs are an important group that drives the micro-economy into society. The Lentera MSME Association, which is located on Mranggen Demak, eastern of the edge of Semarang city, also needs attention to improve management capabilities and income. This can be seen from the widespread opening of minimarkets which are growing in many populated areas. The problems currently faced are the limited marketing area and the amount of income which is currently stagnant and tends to decrease. The solution offered to the problem is market expansion through opening an online shop. The implementation of this activity uses Participatory Action Research (PAR) techniques in the form of seminars, training and mentoring. The results obtained were an increase in the understanding of MSME Lentera members regarding the benefits, risks of using online shops, as well as the success of MSME Lentera members in opening online shops amounting to 64.28% of the total number of participants. The online shop owned by participants is complete with product photos and prices that are ready to compete. As a form of reflection on the need for ongoing assistance and activities to improve marketing in various aspects.
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

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

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): Januari 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

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.
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.
Ketahanan Keluarga pada Pelaku Khuruj (Studi pada Jamaah Tabligh Masjid Amanah Kota Payakumbuh) Nurwahyudi, Eko
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.3798

Abstract

Pokok permasalahan dalam penelitian ini adalah kehidupan keluarga Jamaah Tabligh Masjid Amanah Kota Payakumbuh saat kepala keluarganya pergi khuruj, perwujudan ketahanan keluarga, serta faktor-faktor pendukung dan penghambat terhadap ketahanan keluarga Jamaah Tabligh Masjid Amanah Kota Payakumbuh. Jenis penelitian ini adalah penelitian kualitatif. Teknik pengumpulan data meliputi wawancara dan observasi, sedangkan analisis data melalui reduksi data, penyajian data, simpulan dan verivikasi. Keabsahan data dijamin melalui triangulasi sumber. Hasil penelitian menunjukkan bahwa kehidupan keluarga selama kepala keluarga pergi khuruj adalah dalam keadaan baik dan tercukupi segala kebutuhannya bahkan berlebih. Bahkan bagi keluarga yang kurang mapan, dengan solidaritas yang tinggi, maka melalui bantuan sesama jamaah, kebutuhan keluarga selama kepala keluarga pergi khuruj terpenuhi dengan baik. Sebagian besar keluarga, memiliki ketahanan keluarga yang tinggi yang dibuktikan dengan terpenuhinya beberapa aspek penilaian ketahanan keluarga yang terdiri dari lima aspek yaitu kualitas ketahanan legalitas dan struktur, kualitas ketahanan fisik, kualitas ketahanan ekonomi, kualitas ketahanan sosio-psikologis dan kualitas ketahanan sosial budaya. Hanya sebagian kecil keluarga yang belum memenuhi indikator ini. Adapun faktor pendukung terciptanya ketahanan keluarga pada keluarga antara lain adalah: 1) Adanya sistem kepercayaan berlandaskan nilai-nilai spiritual yang kuat dalam keluarga. 2) Adanya pola organisasi keluarga yang kuat dan saling percaya. 3) Adanya komunikasi yang baik yang terjalin antar anggota keluarga. 4) Setiap anggota keluarga memahami apa-apa yang menjadi hak dan kewajibannya di dalam keluarga. Sementara faktor penghambatnya bagi sebagian kecil keluarga Jamaah adalah tidak pahamnya keluarga akan peran dan fungsi masing-masing anggota dalam keluarga serta saat akan pergi khuruj tidak mengindahkan aturan dan prosedur yang ada
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.
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 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 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 Murti, Hari 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 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 Theresia Dwiati Wismarini Veronica Lusiana 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