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All Journal Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Abdi Jurnal Publikasi AMMA : Jurnal Pengabdian Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi Bulletin of Engineering Science, Technology and Industry
Santi Rahayu
Universitas Pamulang
Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Nursing Social Sciences Other

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PELATIHAN MEMBUAT APLIKASI ANDROID UNTUK JUNIOR MOBILE PROGRAMMER DI SMK MUHAMMADIYAH 02 TANGERANG SELATAN Santi Rahayu; Jupron; Muhammad Bahrein
Abdi Jurnal Publikasi Vol. 1 No. 6 (2023): Juni
Publisher : Abdi Jurnal Publikasi

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Abstract

SMK Muhammadiyah 02 Tangerang Selatan yang lebih akrab disebut SMK Muda, dengan layanan pendidikan mengenai rekayasa perangkat lunak belum adanya pelatihan membuat aplikasi android untuk pemula. Dengan itu diadakannya kegiatan pengabdian kepada masyarakat ini dengan pembuatan aplikasi Android dengan bahasa pemrograman Java. Waktu dilaksanakannya pelatihan ini pada Jum’at, 05 Mei 2023 dengan 29 peserta siswa-siswi. Pelatihan dilaksanakan di ruang kelas dengan tersedianya laptop sebanyak 18 laptop untuk para peserta. Narasumber memaparkan materi dengan alat bantu proyektor. Panitia lainnya sebagai instruktur yang membimbing para peserta dalam mempraktekkan materi yang dipaparkan narasumber. Metode pelaksanaan dengan susunan kegiatan persiapan, membagikan konsumsi, pembukaan acara, sambutan, penyerahan kenang-kenangan, pemaparan materi, praktek, pembagian doorprize, foto bersama dan penutupan acara. Pelatihan ini memberikan motivasi siswa dalam berkarya membuat aplikasi Android untuk berkelanjutan.
Pemanfaatan Microsoft Excel Sebagai Sarana Pembelajaran Digital Dalam Meningkatkan Pemahaman Pengolahan Data Fiko Mahmudin Ais; Sobur Cakra Diningrat; Azrial Firmansyah; Yudistira Tanjung; Hendi Anandika Yanuar Rahman; Gregorius Pendianus Halawa; Yogi Priatama; Rusdiyanto; Muhammad Jidan Ramdani; Luthfi Muhammad Fakhri; Santi Rahayu
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 : Juli (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The rapid development of information technology requires the education sector to adapt by implementing digital-based learning methods. Microsoft Excel is a powerful data processing software with great potential as a learning tool. However, at SMKS Yadika 10 Kosambi, its utilization has not been optimal, leading many students to struggle with understanding data processing concepts. Through this Community Service Program (PKM), training on the use of Microsoft Excel was provided to Grade X students to improve their digital literacy and data processing skills. The training was conducted interactively, covering topics such as introduction to Excel, basic formulas, and creating charts. The results showed an improvement in students’ understanding of data processing concepts and their ability to use basic Excel features, which are expected to support their readiness for the technology-driven job market.
Implementation of UI/UX Design for Goods Delivery System With One Way To Go Model - SiCepat Hackathon Challenge Yuda Samudra; Santi Rahayu; Nanang; Addelia Aldha Kharisma
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 2 (2026): September 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i2.1588

Abstract

The SiCepat Hackathon Challenge is a collaborative start-up activity in building an application ecosystem that aims to support system updates to become more efficient and support the growth of digital businesses in accordance with market needs in the field of logistics technology to accelerate the delivery process of goods based on consumer needs. The main problem in the traditional delivery system is the lack of ability to determine the optimal delivery and pick-up location. Many couriers have to travel long distances simply because the system is unable to find the closest pickup point from the courier's position. As a result, delivery times are inefficient, and operational costs increase. In addition, an unclear commission system often causes dissatisfaction among couriers because it does not represent the effort and time they put in. Problem solving using Design Thinking method approach to study user needs. In the Design Thinking process, there are several stages such as Empathize, Define, Ideate, Prototype, and Test. There is also a Design System process to help determine the component requirements in the design interface that can be used for reusable purposes with the Atomic's Design approach. In the validation or testing stage of the feature development results, the result of this development plan is to provide features for selecting a warehouse for picking goods, destination locations, a commission system, deposits, withdrawals, and shipping history. The results of the Usability Testing with Usability Metrics using SEQ (Single Ease Question) obtained a score of 6 (out of 7 points), this is interpreted as Passing for each testing criterion carried out by the user.
IPLEMENTATION OF UI/UX DESIGN FOR A ONE-WAY-TO-GO DELIVERY SYSTEM - SICEPAT HACKATON CHALLENGE Yuda Samudra; Santi Rahayu; Nanang; Addelia Aldha Kharisma
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 3 (2026): September
Publisher : PT. Radja Intercontinental Publishing

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Abstract

The SiCepat Hackathon Challenge is a collaborative start-up activity in building an application ecosystem that aims to support system updates to become more efficient and support the growth of digital businesses in accordance with market needs in the field of logistics technology to accelerate the delivery process of goods based on consumer needs. The main problem in the traditional delivery system is the lack of ability to determine the optimal delivery and pick-up location. Many couriers have to travel long distances simply because the system is unable to find the closest pickup point from the courier's position. As a result, delivery times are inefficient, and operational costs increase. In addition, an unclear commission system often causes dissatisfaction among couriers because it does not represent the effort and time they put in. Problem solving uses the Design Process with a Design Thinking method approach to study user needs. In the Design Thinking process, there are several stages such as Empathize, Define, Ideate, Prototype, and Test. There is also a Design System process to help determine the component requirements in the design interface that can be used for reusable purposes with the Atomic's Design approach. In the validation or testing stage of the feature development results, the final result of this development plan is to provide features for selecting a warehouse for picking goods, destination locations, a commission system, deposits, withdrawals, and shipping history. The final results of the Usability Testing with Usability Metrics using SEQ (Single Ease Question) obtained a score of 6 (out of 7 points), this is interpreted as Passing for each testing criterion carried out by the user.
Robust Deep Learning Framework untuk Deteksi Cacat Permukaan pada Material Logam dalam Kondisi Pencitraan yang Terganggu Noise dan Blur Santi Rahayu; Achmad Hindasyah; Nur Annisahaq
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 7 No. 3 (2026): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v7i3.2083

Abstract

Surface defect detection plays a crucial role in industrial quality control, especially in metal manufacturing, where defects can impact structural integrity and product reliability. Although deep learning-based inspection systems have shown promising results, most approaches assume ideal imaging conditions and experience significant performance degradation when faced with disturbances such as noise and blur. This study proposes a robust deep learning framework for surface defect detection under degraded imaging conditions. The framework integrates controlled image degradation simulation and a segmentation-based model using U-Net to enable precise pixel-level localization of defects. Robustness is evaluated through the addition of Gaussian noise, salt-and-pepper noise, and motion blur. Experimental results on the Severstal Steel Defect Dataset demonstrate that the proposed method outperforms the baseline segmentation model YOLOv8n-seg. Under clean conditions, the model achieves a precision of 0.6328 and an F1-score of 0.3199. In degraded conditions, the model remains stable despite performance drops, whereas other methods show significant declines. Additionally, the segmentation output allows for quantitative estimation of defect areas, providing valuable information for industrial applications. The findings indicate that segmentation-based approaches offer greater robustness and more reliable defect localization in challenging imaging environments.
Co-Authors Achmad Hindasyah Addelia Aldha Kharisma Azrial Firmansyah Fiko Mahmudin Ais Gregorius Pendianus Halawa Hendi Anandika Yanuar Rahman Jupron Jupron Luthfi Muhammad Fakhri Muhammad Bahrein Muhammad Jidan Ramdani Nanang Nanang Nur Annisahaq Rusdiyanto Sobur Cakra Diningrat Yogi Priatama Yuda Samudra Yudistira Tanjung