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All Journal Semantik Jurnal Pseudocode Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil BANGUN REKAPRIMA Jurnal Teknologi Informasi Cyberku Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) Journal of Computing Theories and Applications Journal of Future Artificial Intelligence and Technologies
Stefanus Santosa
Politeknik Negeri Semarang
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Transportation Other

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PENINGKATAN KOMPETENSI KEWIRAUSAHAAN BISNIS ONLINE PADA SISWA SMK 2 SALATIGA Rahmawati, Roselina; Supriyadi, Supriyadi; Fatmawati, Leily; W, Herry Ludiro; Hadi, Tjokro; Isnubroto, Danang; Santosa, Stefanus; Joko, Karnawan; S, Sri Wahyuningsih
Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) Vol. 5 No. 1 (2024): Vol. 5 No. 1 April 2024
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/sitechmas.v5i1.5015

Abstract

Pandemi Covid-19 di dunia menyebabkan penurunan perekonomian nasional bahkan dunia. Mengakibatkan bertambahnya jumlah pengangguran dikarenakan PHK secara masal terjadi selama pandemi Covid-19. Usaha Mikro kecil menengah (UMKM) juga terkena dampak penurunan penjualan karena pandemi Covid-19 dikarenakan perubahan perilaku konsumen. Konsumen yang awalnya melakukan transaksi secara langsung, dikarenakan pandemi Covid-19 berubah menjadi melakukan transaksi secara online.Struktur Kurikulum 2013 SMA/SMK memuat mata pelajaran Prakarya dan Kewirausahaan yang memberikan pemahaman dasar tentang kemampuan berwirausaha kepada peserta didik. Melalui pembelajaran Prakarya dan Kewirausahaan peserta didik dapat mempelajari teori dan nilai-nilai kewirausahaan yang dapat diaplikasikan dalam kehidupan nyata melalui praktik, baik yang terintegrasi dalam mata pelajaran maupun yang dilaksanakan diluar mata pelajaran atau kegiatan ekstrakurikuler.Sekolah Menengah Kejuruan Negeri 2 Salatiga adalah salah satu mantan sekolah RSBI (Rintisan Sekolah Bertaraf Internasional) yang berada di kota Salatiga. SMK Negeri 2 Salatiga termasuk dalam kelompok Teknologi & Industri, berlokasi di Jl.Parikesit, Sidomukti, Salatiga, Jawa Tengah, Indonesia. Kegiatan pengabdian kepada masyarakat ini untuk mendukung misi SMK 2 Salatiga yakni menyiapkan tamatan mampu menerapkan jiwa kewirausahaan. Dengan hadirnya kegiatan PKM ini juga untuk menumbuhkan semangat berwirausaha siswa dengan menggunakan transaksi online.
PENGEMBANGAN PRODUK OLAHAN BUAH MANGROVE JENIS API-API (AVICENNIA SPP) DI KELOMPOK PETANI MANGROVE LESTARI KELURAHAN MANGUNHARJO KECAMATAN TUGU, SEMARANG Suhartono, Edy; Santosa, Stefanus; Yusetyowati, Yusetyowati; Wibowo, Hadi
Bangun Rekaprima Vol. 7 No. 2 (2021): Oktober 2021
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (162.601 KB) | DOI: 10.32497/bangunrekaprima.v7i2.3002

Abstract

Permanfaatan buah mangrove oleh Kelompok Petani Mangrove Lestari adalah mengolah bahan baku menjadi produk olahan. Metode yang digunakan dalam memecahkan masalah Kelompok Petani Mangrove Lestari yaitu dengan sosialisasi proses pengolahan tepung buah mangrove yang sesuai standar, menyediakan alat penggiling tepung untuk mendapatkan tepung yang berkualitas baik, dan demostrasi pengolahan tepung buah mangrove menjadi kue bolu dan sirup. Berdasarkan hasil sosialisasi pengabdian masyarakat di Kelurahan Mangunharjo Kecamatan Tugu,Semarang berhasil karena melihat antusiasme masyarakat Kelurahan tersebut yang mendapatkan ilmu terkait pengolahan tepung buah mangrove yang dapat meningkatkan pendapatan ekonomi msyarakat.
PENERAPAN SISTEM PEMERIKSAAN DAN PERBAIKAN RETAKAN PADA DINDING DI KELURAHAN PAKINTELAN KECAMATAN GUNUNGPATI KOTA SEMARANG Kusumastuti, Dianita Ratna; Marsudi, Marsudi; Goro, Garup Lambang; Santosa, Stefanus; Supriyo, Supriyo; Rabinah, Aiun Hayatu; Praharseno, Fikri; Abdillah, Rifqi Aulia; Sulaiman, Sriwahyuningsih
Bangun Rekaprima Vol. 10 No. 1 (2024): April 2024
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/bangunrekaprima.v10i1.5635

Abstract

Community service in the form of implementing a system for checking and repairing cracks in walls in Pakintelan Village, Gunungpati District, Semarang City aims to increase residents' knowledge regarding the problem of cracks in walls which are thought to be caused by ground movement. This activity starts from a site survey, equipment preparation, and training carried out with the correct procedures, ensuring the implementation of correct repair methods and according to standards. Based on the results of surveys and interviews with local residents, the cracks in the walls of houses that occurred at the Citra Pesona Pakintelan Housing Complex were caused by ground movements which caused non-uniform structural settlement and vibrations resulting from housing construction behind the service location. The service team and students provide guidance and assistance to stone masons and the surrounding community. There were 6 masons who took part in the training and several members of the local community. The repair method used to repair cracked walls is the stitching method.
Butterflies Recognition using Enhanced Transfer Learning and Data Augmentation Adityawan, Harish Trio; Farroq, Omar; Santosa, Stefanus; Islam, Hussain Md Mehedul; Sarker, Md Kamruzzaman; Setiadi, De Rosal Ignatius Moses
Journal of Computing Theories and Applications Vol. 1 No. 2 (2023): JCTA 1(2) 2023
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jcta.v1i2.9443

Abstract

Butterflies’ recognition serves a crucial role as an environmental indicator and a key factor in plant pollination. The automation of this recognition process, facilitated by Convolutional Neural Networks (CNNs), can expedite this task. Several pre-trained CNN models, such as VGG, ResNet, and Inception, have been widely used for this purpose. However, the scope of previous research has been somewhat constrained, focusing only on a maximum of 15 classes. This study proposes to modify the CNN InceptionV3 model and combine it with three data augmentations to recognize up to 100 butterfly species. To curb overfitting, this study employs a series of data augmentation techniques. In parallel, we refine the InceptionV3 model by reducing the number of layers and integrating four new layers. The test results demonstrate that our proposed model achieves an impressive accuracy of 99.43% for 15 classes with only 10 epochs, exceeding prior models by approximately 5%. When extended to 100 classes, the model maintains a high accuracy rate of 98.49% with 50 epochs. The proposed model surpasses the performance of standard pre-trained models, including VGG16, ResNet50, and InceptionV3, illustrating its potential for broader application.
High-Performance Face Spoofing Detection using Feature Fusion of FaceNet and Tuned DenseNet201 Zuama, Leygian Reyhan; Setiadi, De Rosal Ignatius Moses; Susanto, Ajib; Santosa, Stefanus; Gan, Hong-Seng; Ojugo, Arnold Adimabua
Journal of Future Artificial Intelligence and Technologies Vol. 1 No. 4 (2025): March 2025
Publisher : Future Techno Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/faith.3048-3719-62

Abstract

Face spoofing detection is critical for biometric security systems to prevent unauthorized access. This study proposes a deep learning-based approach integrating FaceNet and DenseNet201 to enhance face spoofing detection performance. FaceNet generates identity-based embeddings, ensuring robust facial feature representation, while DenseNet201 extracts complementary texture-based features. These features are fused using the Concatenate function to form a more comprehensive representation for im-proved classification. The proposed method is evaluated on two widely used face spoofing datasets, NUAA Photograph Imposter and LCC-FASD, achieving 100% accuracy on NUAA and 99% on LCC-FASD. Ablation studies reveal that data augmentation does not always enhance performance, particularly on high-complexity datasets such as LCC-FASD, where augmentation increases the False Rejection Rate (FRR). Conversely, DenseNet201 benefits more from augmentation, while the proposed method performs best without augmentation. Comparative analysis with previous studies further confirms the superiority of the proposed approach in reducing error rates, particularly Half Total Error Rate (HTER), False Acceptance Rate (FAR), and FRR. These findings indicate that combining identity-based embeddings and texture-based feature extraction significantly improves spoofing detection and enhances model robustness across different attack scenarios. This study advances biometric security by introducing an efficient feature fusion strategy that strengthens deep learning-based spoof detection. Future research may explore further optimization strategies and evaluate the approach on more diverse datasets to enhance generalization.
KLASIFIKASI JENIS HASIL PROSES PRODUKSI PAVING BLOCK PADA CV WARINGIN PUTIH, BANYUMANIK SEMARANG SESUAI DENGAN STANDAR NASIONAL INDONESIA (SNI 03- 0691-1996) Rahmawati, Roselina; Sukoyo, Sukoyo; Isnubroto, Danang; Supriyadi, Supriyadi; Wahyono, Herry Ludiro; Santosa, Stefanus; Yusetyowati, Yusetyowati; Sulaiman, Sri Wahyuningsih; Wibowo, Hadi
Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) Vol. 4 No. 1 (2023): Vol. 4 No. 1 April 2023
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/sitechmas.v4i1.3914

Abstract

Bata beton atau Paving block adalah suatu komposisi bahan bangunan yang dibuat dari campuran semen Portland atau bahan perekat hidrolis sejenisnya, air, agregat dengan atau tanpa bahan tambahan lainnya yang tidak mengurangi mutu bata beton itu. Hasil proses produksi sangat dipengaruhi oleh faktor produksi, antara lain : kualitas/komposisi bahan baku, peralatan yang dipergunakan untuk memproduksi, langkah- langkah dalam membuatnya sampai dengan perawatan. Proses produksi di CV Waringin Putih ini sangat dipengaruhi oleh permintaan pengguna (pemesan), sehingga sangat memungkinkan hasilnya kurang terkendali (kualitasnya bervariasi). Untuk itu diperlukan pendampingan, agar supaya hasilnya dapat memuaskan konsumen karena biasanya akan menjadikan permintaan (demand) produk tersebut akan bertambah yang berarti akan menambah pendapatan, mengingat kualitas Paving block dari CV Waringin Putih ini betul-betul memenuhi standar. Setelah selesai pendampingan CV Waringin Putih telah terekomendasi bahwa proses produksi Paving block hasilnya memenuhi Standar Nasional Indonesia 03- 0691-1996 dengan hasil Mutu C yaitu paving block tersebut dapat digunakan untuk Pejalan Kaki dan penggunaan lain.
DESAIN MODEL BASISDATA PEMELIHARAAN KOMPONEN MECHANICAL- ELECTRICAL GEDUNG SEBAGAI PENDUKUNG FACILITY MAINTENANCE MANAGEMENT (FMM) Santosa, Stefanus; Suwarto, Suwarto; Sudarmono, Sudarmono; Setiyono, Karnawan Joko; Suwarno, Anung; Pratama, M Hafidh Aditya; Wicaksono, M Rafi
Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Vol. 30 No. 1 (2025): Wahana Teknik Sipil
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/wahanats.v30i1.6296

Abstract

Current planning and implementation of building Mechanical-Electrical (ME) component maintenance are inefficient due to the lack of proven methods and techniques for providing accurate, non-overlapping, effective, and efficient information. Current ME component maintenance management practices and processes face numerous challenges related to data compilation and management, including data loss, wasted time searching for information, and a lack of interoperability. Research on databases, particularly in the building maintenance phase, remains limited. Data compilation is limited to scheduling and existing condition data used to generate routine maintenance reports with reference to implementation dates. This research resulted in an integrated Building MechanicalElectrical Component Maintenance Database Model to support Facility Maintenance Management (FMM). This model has met the requirements by passing the Database Reliability Test. The test used queries ranging from simple to highly complex to provide accurate, non-overlapping, effective, and efficient information needed to manage data on materials, equipment, contractors, types of work, schedules, and costs during the maintenance and repair phase.
IMPLEMENTASI SISTEM PEMERIKSAAN DAN PERBAIKAN KERUSAKAN PADA DINDING BANGUNAN DI KELURAHAN NGADIRGO KECAMATAN MIJEN KOTA SEMARANG: IMPLEMENTASI SISTEM PEMERIKSAAN DAN PERBAIKAN KERUSAKAN PADA DINDING BANGUNAN DI KELURAHAN NGADIRGO KECAMATAN MIJEN KOTA SEMARANG Kusumastuti, Dianita Ratna; Marsudi; Goro, Garup Lambang; Santosa, Stefanus; Supriyo; Rabinah, Aiun Hayatu; Praharseno, Fikri; Abdillah, Rifqi Aulia; Sulaiman, Sriwahyuningsih
Bangun Rekaprima Vol. 11 No. 1 (2025): April 2025
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/bangunrekaprima.v11i1.6507

Abstract

Community service in the form of implementing a system for inspecting and repairing damage to building walls in Ngadirgo Village, Mijen District, Semarang City aims to increase the insight and skills of local residents regarding the problem of cracks in building walls that occur due to ground movement. This activity starts from a site survey, preparation of tools and materials, training on the correct procedures, ensuring the implementation of correct repair methods and according to standards. Based on the results of surveys and interviews with local residents, the cracks in the walls of RW 2 Hall, Ngadirgo Village, Mijen District were caused by ground movement activities, resulting in non-uniform settlement of the building structure. The service team and students provide training and assistance to residents and bricklayers in Ngadirgo Village, Mijen District. The repair method used to repair cracked walls is the stitching method
Co-Authors Abd. Rasyid Syamsuri Adityawan, Harish Trio Agus Setyawan Agus Widjanarko Ahmad Zainul Fanani Ajib Susanto Ali Sofyan Anung Suwarno, Anung April Firman Daru Basuki Setiyo Budi BASUKI SETIYO BUDI S.T., M.T. Catur Supriyanto Catur Supriyanto Catur Supriyanto Supriyanto De Rosal Ignatius Moses Setiadi Dewi Nurdiyah Dianita Ratna Kusumastuti Edi Noersasongko Erni Rahmawatie Fahdiyat, Lukman Fahdiyat, Lukman Farroq, Omar Fatkhuroji Fatkhuroji Fenilinas Adi Artanto Gan, Hong-Seng Goro, Garup Lambang Hadi Wibowo Hadi, Tjokro Hario Guritno Heri Triluqman Budisantoso Ilala, Oze Dora Indah Munitasri Islam, Hussain Md Mehedul Isnubroto, Danang Jadi . Joko, Karnawan JUNAIDI S.T., M.Eng. Karnawan Joko Setiyono Khairul Fahmi Leily Fatmawati, Leily M. Arief Soeleman Marchus Budi Utomo Marchus Budi Utomo, Marchus Budi MARSUDI Marsudi Marsudi Martono Martono Martono Martono Martono Martono Mawardi Mawardi Mochammad Tri Rochadi Nur Aeni Widiastuti Ojugo, Arnold Adimabua Pertiwi, Zulaikha Putri Pertiwi, Zulaikha Putri Praharseno, Fikri Pratama, M Hafidh Aditya Putra, Erwin Dwika Rabinah, Aiun Hayatu Ricardus Anggi Pramunendar Rifqi Aulia Abdillah, Rifqi Aulia Roselina Rahmawati Roy Yuliantara S, Sri Wahyuningsih Sarker, Md Kamruzzaman Setiyono, Karnawan Joko Setyaningsih, Desi SUDARMONO SUDARMONO Suhartono, Edy Sukoyo Sukoyo Sulaiman, Sri Wahyuningsih Sulaiman, Sriwahyuningsih Supriyadi Supriyadi Supriyo Supriyo Supriyo Suroso Suroso Suroso Suroso Suwarto Suwarto Suwarto Suwarto Tjokro Hadi TJOKRO HADI SST., M.T. Triatmo Sugih Hardono W, Herry Ludiro Wahyono, Herry Ludiro Wicaksono, M Rafi Wiji Lestari Yonathan Purbo Santosa Yudha Tirto Pramonoaji Yusetyowati Yusetyowati, Yusetyowati Zenal Arifin Zuama, Leygian Reyhan