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All Journal Bulletin of Electrical Engineering and Informatics Jurnal CoreIT Rekayasa Teknologi Prosiding Seminar Nasional Teknoka JURNAL KAJIAN TEKNIK MESIN Jurnal Informatika dan Rekayasa Perangkat Lunak KAIBON ABHINAYA : JURNAL PENGABDIAN MASYARAKAT Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Jurnal Konversi Energi dan Manufaktur Bubungan Tinggi: Jurnal Pengabdian Masyarakat Intervensi Komunitas: Jurnal Pengabdian Masyarakat Prosiding SNAST International Journal Software Engineering and Computer Science (IJSECS) Jurnal Pengabdian Mandiri Berdikari : Jurnal Pengabdian kepada Masyarakat KAMI MENGABDI JPNM : Jurnal Pustaka Nusantara Multidisiplin Journal of Engineering Science and Technology Management Scientica: Jurnal Ilmiah Sains dan Teknologi Midang JTTT SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Polimesin
Saidah, Andi
Universitas 17 Agustus 1945 Jakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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“PEMANFAATAN MEDIA SOSIAL DALAM MENINGKATKAN PEREKONOMIAN MASYARAKAT DALAM PENCAPAIAN SDG’s DI DESA SEDERHANA MUARA GEMBONG” Yanis, Fauziah; Prasetyo, Sisman; Lukiyana, Lukiyana; Ahmad, Masnia; Saidah, Andi; Trijayanto, Danang; Kamaruddin, Muhammad Junaid
Midang Vol 1 No 3 (2023): Midang, Oktober 2023
Publisher : Unpad Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/midang.v1i3.50545

Abstract

Sektor ekonomi memegang peranan penting dalam era globalisasi. Pada era globalisasi perkembangan teknologi bertumbuh dengan cepat, pemasaran yang semula tradisional beralih ke media online (digital), sehingga menimbulkan persaingan yang ketat dalam sektor pertumbuhan usaha. Ketidaktahuan masyarakat terkait penjualan secara online menjadi kendala tersendiri, dikarenakan masyarakat Desa Sederhana Muara Gembong tidak dapat memanfaatkan teknologi digital secara maksimal. Hal ini menimbulkan kesempatan dalam mengembangkan usaha bisnis menjadi terhambat. Melihat masalah yang ada, Tujuan dari pengabdian ini adalah untuk mensosialisasikan pemanfaatan media sosial seperti WhatsApp, Instagram, facebook, twitter, TikTok sebagai langkah pemasaran online untuk memecahkan permasalahan yang dihadapi, Target program ini adalah adanya peningkatan pengetahuan terkait pemanfaatan media social dan kemampuan dalam membangun kreatifitas melalui konten pemberitaan. Metode pelaksanaan kegiatan pengabdian masyarakat dilakukan dengan memberikan sosialisasi materi pengenalan pengatahuan dalam pemanfaatan media sosial baik secara efektif dan efisien dalam meningkatkan perekonomian masyarakat. Hasil kegiatan memperlihatkan antusias para masyarakat yang ikut hadir. Sejak awal memerhatikan dan mengikuti semua rangkaian acara hingga selesai dan aktif memberikan beberapa pertanyaan. Kegiatan ini juga memberikan dampak positif yang signifikan pada pencapaian beberapa Tujuan Pembangunan Berkelanjutan (Sustainable Development Goals/SDGs) di tingkat desa yaitu pertumbuhan ekonomi yang inklusif dan berkelanjutan
PELATIHAN & SHARING KNOWLEDGE: PENGENALAN FACE RECOGNITION TEKNOLOGI DALAM MENDETEKSI WAJAH Tundo Tundo; Muhammad Rizqi Ramadhan; Andi Saidah
KAMI MENGABDI Vol 6, No 1 (2026): KAMI MENGABDI
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/km.v6i1.9609

Abstract

Community service activities related to Training & Knowledge Sharing: Introduction to Face Recognition Technology in Detecting Faces were held at SMAK Penabur 5 with the aim of improving students' understanding and skills in recognizing and utilizing face recognition technology as part of the development of artificial intelligence. In the rapidly developing digital era, the ability to understand biometric-based technology is important, especially in supporting aspects of security, identification, and technological innovation in everyday life. Through this knowledge sharing activity, participants were introduced to the basic concepts of face recognition, the working principles of systems in detecting and recognizing faces, and various methods used in digital image processing. The implementation methods included interactive lectures, case studies, and simple simulations of the use of application-based face recognition technology. The results of this activity showed an increase in students' understanding of the basic concepts of face recognition and awareness of the importance of using technology wisely, especially regarding privacy and data security issues. This activity is expected to be an initial provision for students in recognizing artificial intelligence-based technology and encourage their interest in developing skills in the field of information technology further, so that they are able to face future challenges more adaptively and critically
Prediction of palm oil production using hybrid decision tree based on fuzzy inference system Tsukamoto Tundo Tundo; Shoffan Saifullah; Mesra Betty Yel; Opi Irawansah; Zulfikar Yusya Mubarak; Andi Saidah
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.7773

Abstract

This research addresses the challenge of optimizing rule creation for palm oil production at PT Tapiana Nadenggan. It deals with the complexity of diverse agricultural variables, environmental factors, and the dynamic nature of palm oil production. The existing problem lies in the limitations of conventional decision tree models—J48, reduced error pruning (REP), and random—in capturing the nuanced relationships within the intricate palm oil production system. The study introduces hybrid decision tree models—specifically J48-REP, REP-Random, and Random-J48—to address this challenge via combination scenarios. This approach aims to refine and update the rule creation process, enabling the recognition of nuanced performance processes within the selected decision tree combinations. To comprehensively tackle this challenge and problem, the study employs Tsukamoto’s fuzzy inference system (FIS) for a sophisticated performance comparison. Despite the complexity, intriguing results emerge after the forecasting process, with the standalone J48 decision tree achieving 85.70% accuracy and the combined J48-REP excelling at 93.87%. This highlights the potential of decision tree combinations in overcoming the complexities inherent in forecasting palm oil production, contributing valuable insights for informed decision-making in the industry.
Optimization of Skin Disease Image Segmentation: A Hybrid Approach Using HE-LAB Color Space with Canny and Otsu Methods Andi Saidah; Tundo Tundo; I Made Agus Oka Gunawan; Roy Kasiono
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 2 (2026): AUGUST 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i2.7620

Abstract

Skin lesion detection through image analysis requires accurate segmentation methods to distinguish lesion regions from surrounding healthy skin. This study evaluates a hybrid approach that combines contrast enhancement using Histogram Equalization (HE) and HE applied to the Lightness (L) channel in the LAB color space (HE+LAB) with two segmentation methods, namely Canny edge detection and Otsu thresholding. The segmentation performance was evaluated at three image resolutions: 64 × 64, 128 × 128, and 256 × 256 pixels, using Accuracy, Precision, Recall, F1-Score, and Intersection over Union (IoU). The experimental results show that the HE+LAB-Otsu combination consistently achieves higher performance than the other evaluated combinations across the three resolutions. At 128 × 128 pixels, HE+LAB-Otsu achieves an Accuracy of 0.7170, F1-Score of 0.7407, and IoU of 0.5882. Canny-based segmentation generally produces lower scores, particularly for Recall and IoU, indicating difficulties in extracting complete lesion regions. The use of HE in the LAB color space improves lesion contrast while preserving the chromatic components of the image, resulting in better segmentation performance than standard HE in the evaluated experiments. The results indicate that the combination of HE+LAB and Otsu thresholding is a promising conventional approach for skin lesion image segmentation. However, further evaluation using additional datasets, statistical testing, and comparisons with modern deep learning segmentation methods is required to assess its generalizability and applicability to automated dermatological image analysis.
Penerapan Metode Double Moving Average Untuk Memprediksi Penjualan Tiket Bus Sinar Jaya Po Tambun Tundo Tundo; Agung Yuliyanto Nugroho; Andi Saidah
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 2 (2025): September
Publisher : Universitas Wahid Hasyim

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

Abstract

The Sinar Jaya Autobus Company (PO) is one of the buses engaged in the tourism business that sells and provides community needs such as bus tickets. This PO requires forecasting in data processing to produce accurate reports. The reason for this is because PO Bus Sinar Jaya in determining the demand for bus tickets cannot predict availability. Based on these reasons, the design of this system uses the Double Moving Average (DMA) forecasting method for the forecasting process in determining the amount and type of availability that will be sold for the following month. By using this calculation method it is hoped that the owner of PO Sinar Jaya will further optimize the things that can be detrimental to this PO in operating. If sales increase each month, using the DMA method, sales predictions for the next three months can be determined, the higher the number of ticket requests on the PO Sinar Jaya Bus, so that the forecasting results can help the PO to avoid running out of tickets according to consumer demand. Based on the research that has been carried out, it can be concluded that the Sinar Jaya PO Tambun bus ticket sales forecast using the Double Moving Average (DMA) method obtained the smallest MAPE value calculation results in order 2, namely 0.004599299 and the smallest MAPE value in order 3, namely 0.000614191. Comparison of the results of MAPE value calculations to determine the accuracy of forecasting results carried out with order 2 and order 3, it is proven that order 3 is more accurate for determining the error percentage results in this study.
Co-Authors Abdul Rachman Agung Yuliyanto Nugroho Ahmad, Masnia Ajeng Wijayanti Akbar, Riolandi Alosius Eka Kurnia Anjari, Warih Anjari Arinal, Veri Arnold Arnold Arwanto, Arwanto Asrol Basri Astiani, Rangki Batjo, Siti Ristyani Putri Betty Yel, Mesra Bobby Arvian James Bobby Reza Bohang, Fain Faleri Cania, Alvan Danang Trijayanto Danang Trijayanto Darman, Yahadi Delia Kusuma Didit Sumardiyanto Donisius Afoan Kono Fadillah Purwanto Fajri Hidayat Farudin, Arief Fauziah Fauziah Fauziah Fauziah Harini _ I Made Agus Oka Gunawan Kamaruddin, Muhammad Junaid Kasiono, Roy Khoirunnisa Khoirunnisa Lukiyana, Lukiyana Marcia Rizky Hamdala Masnia Ahmad Mohammad Yusuf Djeli Muas Muchtar Muhammad Arsyad Suyuti muhammad junaid kamaruddin Muhammad Nurdin Muhammad Nurdin Muhammad Rizqi Ramadhan Muktar Sinaga Muktar Sinaga Muktar Sinaga Muliya, Amma Nofendri, Yos Noviana, Fitri Nugroho, Agung Yuliyanto NUR KHOLIFAH Nurazizah, Siti Opi Irawansah Pramana Rizqi Prasetyo, Sisman Ridwan, Mochamad Ely Riong Saulina Panjaitan Riris Rotua Sitorus Rizky, Permana Romadhoni, Amma Muliya Romadoni, Amma Muliya Roy Kasiono Saifullah, Shoffan Salman, Nidya Jullanar Sinaga, Muktar Sri Endah Susilowati Sri Henny Indarti Sri Henny Indarti, Sri Henny Suparman Suparman Syaharuddin Rasyid Teguh Riyanto Tundo Tundo Tundo Tundo Tundo Tundo Tundo, Tundo Umasangadji, Fahmi Wahyu Kurniawan Yanis, Fauziah Zamali, Fikri Zulfikar Yusya Mubarak