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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JURNAL ILMIAH INFORMATIKA JMM (Jurnal Masyarakat Mandiri) Psikologi Prima Majalah Ilmiah Warta Dharmawangsa Jurnal Sistem Komputer dan Informatika (JSON) Reswara: Jurnal Pengabdian Kepada Masyarakat Journal Mathematics Education Sigma [JMES] Jurnal Fibonaci: Jurnal Pendidikan Matematika Djtechno: Jurnal Teknologi Informasi INCODING: Journal of Informatics and Computer Science Engineering Proceeding International Seminar of Islamic Studies Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) sudo Jurnal Teknik Informatika Hello World Jurnal Ilmiah Teknik (JUIT) Blend Sains Jurnal Teknik Jurnal Teknik Informatika dan Teknologi Informasi Wahana DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Jurnal Riset Rumpun Seni, Desain dan Media (JURRSENDEM) Jurnal Teknik Mesin, Industri, Elektro dan Informatika All Fields of Science Journal Liaison Academia and Sosiety eProceedings of Engineering Jurnal Penelitian Sistem Informasi Doktrin: Jurnal Dunia Ilmu Hukum dan Politik Aladalah: Jurnal Politik, Sosial, Hukum dan Humaniora Jaksa: Jurnal Kajian Ilmu Hukum Dan Politik Jurnal Sipil Terapan Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Portal Riset dan Inovasi Sistem Perangkat Lunak Al'Adzkiya International of Computer Science and Information Technology Journal CompTech : Jurnal Ilmu Komputer dan Teknologi Jurnal Teknik Informatika dan Teknologi Informasi
Andy Satria
Universitas Dharmawangsa
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Klasifikasi Data Tracer Study Dengan Pemanfaatan Data Mining Menggunakan Algoritma Support Vector Machine dan Neural Network Andi Zulherry; Fanny Ramadhani; Andy Satria
Portal Riset dan Inovasi Sistem Perangkat Lunak Vol. 2 No. 1 (2024): Artikel Penelitian
Publisher : SoraTekno Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59696/prinsip.v2i1.73

Abstract

Perguruan tinggi secara rutin melakukan Tracer Study setiap tahun bertujuan untuk mengimplementasikan kebutuhan data akreditasi di Universitas Muhammadiyah Sumatera Utara menggunakan teknik data mining. Penelitian ini fokus pada pemanfaatan kombinasi algoritma Support Vector Machine (SVM) dan Neural Network untuk mengoptimalkan klasifikasi data Tracer Study. SVM digunakan untuk mengatasi masalah klasifikasi non-linear dengan menemukan hyperplane optimal, sementara Neural Network digunakan untuk memodelkan dan mengenali pola kompleks dalam data. Metodologi penelitian meliputi pengumpulan data Tracer Study, preprocessing data, pelatihan model SVM dan Neural Network, serta evaluasi hasil klasifikasi. Hasil penelitian menunjukkan bahwa kombinasi SVM dan Neural Network secara signifikan meningkatkan akurasi dan kehandalan klasifikasi data Tracer Study, memberikan wawasan yang berharga bagi pengambil kebijakan akademis dan penyusun kurikulum di Universitas Muhammadiyah Sumatera Utara.
INTEGRASI TEKNOLOGI INFORMASI UNTUK DIGITALISASI BISNIS DAN MANAJEMEN PRODUKSI UMKM SILMARILS Fanny Ramadhani; Dian Septiana; Andy Satria
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 5 (2025): Oktober
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i5.34586

Abstract

Abstrak: UMKM Silmarils di Kota Medan menghadapi permasalahan pencatatan inventori manual, ketiadaan sistem Key Performance Indicator (KPI), pemasaran yang masih bergantung pada marketplace pihak ketiga, serta proses pemotongan roti yang manual. Program pengabdian ini bertujuan mengintegrasikan teknologi digital untuk meningkatkan efisiensi dan daya saing. Metode meliputi sosialisasi, penyuluhan, dan pelatihan dengan 14 peserta inti. Evaluasi dilakukan melalui observasi, wawancara, dan angket berisi 14 pertanyaan yang mencakup aspek relevansi, pelaksanaan, manfaat dan hasil, serta dampak dan kepuasan. Target minimal satu orang peserta memahami alur sistem tercapai dengan pemilik UMKM yang sudah mampu memahami alur dan mengoperasikan sistem, sementara karyawan masih dalam tahap adaptasi. Pada aspek produksi, mesin pemotong roti otomatis meningkatkan efisiensi waktu pemotongan 1 roti tawar sebesar 98,3% dengan hasil seragam. Seluruh responden menilai program relevan, bermanfaat, dan dapat langsung diterapkan, dengan 100% menyatakan keterampilan baru digunakan dalam pekerjaan harian. Program ini berdampak nyata pada peningkatan hardskill, efisiensi operasional, serta potensi nilai ekonomis UMKM.Abstract: UMKM Silmarils in Medan faces challenges of manual inventory recording, the absence of a Key Performance Indicator (KPI) system, marketing that still relies on third-party marketplaces, and manual bread cutting processes. This community service program aims to integrate digital technology to enhance efficiency and competitiveness. Methods included socialization, counseling, and training with 14 core participants. Evaluation was carried out through observation, interviews, and a questionnaire consisting of 14 questions covering aspects of relevance, implementation, benefits and outcomes, as well as impact and satisfaction. The target of having at least one participant understand the system workflow was achieved, as the UMKM owner successfully operated the system, while the employees are still in the process of adaptation. Evaluation was carried out through observation, interviews, and satisfaction surveys. The results showed improved digital skills among participants in operating the web-based inventory system, KPI dashboard, and online store management. In terms of production, the automatic bread slicer increased cutting efficiency by 98.3% with uniform results. All respondents rated the program relevant, useful, and directly applicable, with 100% reporting that the new skills were applied in daily work. The program had a tangible impact on hardskill development, operational efficiency, and the economic potential of UMKM.
Social Media Instagram, Tiktok, dan X Dalam Pengungkapan Pelanggaran Hukum Dalam Konflik Antara Palestina Dan Israel Andy Satria; M.Taufiq Kurniawan; Putri Imilia Amanda; Daniyal Arkan
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 4 No. 1 (2024): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v4i1.3419

Abstract

This research explores the role of social media (Instagram, TikTok, and Platform X) in exposing legal violations during the Palestine-Israel conflict. The study aims to understand the impact of these three platforms through the Instagram account @suarasurabayamedia. The findings indicate that Instagram accelerates information dissemination and visual impact, TikTok creates mass awareness through short video formats, and Platform X provides space for diverse perspectives. The social media's focus on Israeli atrocities influences public opinion, supports international solidarity movements, and triggers international pressure and UN resolutions. The impact of social media involves information dissemination, support, amplification of marginalized voices, but also carries the risk of inaccurate information and criticism from authorities. Therefore, the use of social media needs to be balanced with responsibility to prevent the spread of harmful information or worsening conflict situations.
IoT-Based Smart Class System Ramadhani, Fanny; Satria, Andy
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 6, No 2 (2025)
Publisher : Al'Adzkiya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55311/aiocsit.v6i2.352

Abstract

The rapid development of Internet of Things (IoT) technology has significantly transformed various sectors, including education. This study proposes an IoT-Based Smart Class System designed to enhance the effectiveness, efficiency, and interactivity of the learning environment. The proposed system integrates IoT devices such as sensors, microcontrollers, and networked actuators to monitor and control classroom conditions, including lighting, temperature, occupancy, and learning equipment usage in real time. Data collected from these devices are transmitted to a centralized platform for processing, visualization, and decision support. The system enables automated classroom management, improves energy efficiency, and supports data-driven decision-making for educators and administrators. Experimental results and system evaluation indicate that the implementation of the IoT-based smart classroom improves learning comfort, optimizes resource utilization, and provides a scalable solution for modern educational environments. The findings demonstrate that IoT technology has strong potential to support smart education initiatives and the development of intelligent learning spaces.
Co-Authors Abdurahman, Zaid Ade Apriliza Agus Kurniawan Akbar, Muhammad Fauzi Al Khowarizmi Alfren Petrus Putra Manik Alwis Anasyon Situmorang Alya Prita Simbolon Amalia, Sisti Nadia Andi Zulherry Andreas Natanael Pangaribuan Angel Theresia Purba Anisa Herdiani Arya Novandli Asri Mahara Baehaqi Bagus Pangestu Bin Tujuh, Raja Buulolo, Nahazisokhi C.Septia Dinda Sinaga Carlos Daniel Sinaga Daeli, Nonifati Daniyal Arkan Daniyal Arkan Dian Septiana Dicky Apdilah Fadilah, Putri Maulidina Fajar Azhari Lubis Fanny Ramadhani Fanny Ramadhani Ferdinan Sitompul Fidelis Sitinjak Grace Aprillia P Manullang Gustiana, Zelvi Hapzi Ali Hariani, Pipit Putri Haulika, Teguh Iman Hylmiana Nadya Ibnu Rusydi Indah Purnama Sari Indah Purnama Sari Inggrit Nadeak Irhami, Raihan Apriansyah Jerry Alviansyah Joddy Kurniawan Junaidi, Listya Devi Kayla, Zahwa Kristina Sinaga M.Taufiq Kurniawan M.Taufiq Kurniawan Manurung, Asrar Aspia Mesy Nadya Sidabutar Mhd. Basri Muhammad Zikri Rahmanda Nasution Mutia Mutia Nadiah Puteri Hana Ulina Nadrah Afiati Nasution Nasution, Nandrah Afiati Nazwa Irfayanti Nst Nurul Maulida Surbakti Obed Kevin Siregar Oris Krianto Sulaiman Pipit Putri Hariani MD Priyanti Lubis, Dian Rizky Putri Imilia Amanda Putri Imilia Amanda Putri Safira Ramadhani, Fanny Rayhendi Alvio Sabrina Aulia Rahmah Salamah Salamah salamah salamah Salsabila Thalia Sibarani, Chantika Aprila Srirejekina Sinambela, Aadiyaat Pariccar Sirait, Aldi Ravonda Pradana Sri Dewi Suci Ramadhani Herman Surya Inra Simbolon Tamba, Wanciko Taufik Ahmad Telaumbanua, Daniel Teguh Jaya Tobing, Ririn Aulia Veronikha Effendy Willy Aldo Doglas Hutabarat Wita Kristika Purba Zahra, Ainisa Zahroina Rosa Pasaribu Zelvi Gustiana Zulham Zulham