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All Journal Techno.Com: Jurnal Teknologi Informasi Jatilima : Jurnal Multimedia Dan Teknologi Informasi Journal of Information Systems and Technology Research Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Wahana Jurnal Agro Estate
Simbolon, Hasanal Fachri Satia
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Direct implementation of AI-Based Facial Recognition for ITSI students Prayogi, Andi; Navea, Roy Francis; Dian, Rahmad; Pane, Muhammad Akbar Syahbana; Siregar, Ratu Mutiara; Sugianto, Raden Aris; Simbolon, Hasanal Fachri Satia
Journal of Information Systems and Technology Research Vol. 3 No. 3 (2024): September 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i3.898

Abstract

The development of artificial intelligence (AI)-based facial recognition technology has become a significant research topic in the field of computing and security. At the Indonesian Palm Oil Institute (ITSI), AI-based facial recognition is introduced to students to improve their skills in developing AI-based applications. This study aims to implement and test a facial recognition system using a Python program by utilizing a dataset generated independently. This research method involves several stages, namely collecting ITSI students' facial data, data processing, creating a facial recognition model using a machine learning algorithm, and evaluating model performance. The dataset used was developed through a live shooting session involving active student participation. The facial recognition model was trained using a convolutional neural network (CNN) algorithm that was optimized to improve accuracy. The results of the study showed that the developed model was able to achieve high facial recognition accuracy, with an average accuracy rate of 92%. The discussion includes an analysis of factors that affect accuracy, such as variations in lighting and shooting angles, as well as the potential use of this technology in a campus environment, including for attendance and security purposes. The conclusion of this study shows that the implementation of AI-based facial recognition can be effectively applied in an academic environment, as well as providing students with practical experience in developing and testing AI applications. This study also opens up opportunities for further research on improving the performance of facial recognition systems and their application in various real-world scenarios.
Penggunaan Random Forest dan Analisis Perilaku untuk Prediksi Serangan DDoS dalam Lingkungan Cloud Computing Prayogi, Andi; Pane, Muhammad Akbar Syahbana; Dian, Rahmad; Siregar, Ratu Mutiara; Sugianto, Raden Aris; Simbolon, Hasanal Fachri Satia
Techno.Com Vol. 23 No. 3 (2024): Agustus 2024
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v23i3.11317

Abstract

Dalam dunia komputasi awan yang semakin berkembang, ancaman serangan Distributed Denial of Service (DDoS) menjadi isu yang sangat krusial. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan model prediksi serangan DDoS menggunakan algoritma Random Forest dan analisis perilaku jaringan. Dataset CICIDS2017 digunakan sebagai sumber data utama untuk melatih dan menguji model prediksi yang dikembangkan. Pemilihan algoritma Random Forest didasarkan pada kemampuannya yang tinggi dalam menangani data besar dan kompleks serta kemampuannya dalam mengenali pola anomali yang sering menjadi indikasi serangan siber. Hasil pengujian menunjukkan bahwa model ini mencapai akurasi yang signifikan dengan precision sebesar 97,8%, recall sebesar 98,2%, dan F1-score sebesar 98,0%. Analisis perilaku jaringan yang diterapkan, melibatkan fitur-fitur dinamis seperti waktu antar paket (Inter-Arrival Time/IAT), ukuran rata-rata segmen, dan jumlah paket per detik, yang terbukti efektif dalam meningkatkan kemampuan deteksi model. Implementasi model dalam lingkungan komputasi awan menunjukkan bahwa metode ini dapat diintegrasikan dengan sistem deteksi intrusi (Intrusion Detection Systems/IDS) yang sudah ada untuk memberikan lapisan perlindungan tambahan terhadap serangan DDoS. Berdasarkan hasil yang diperoleh, penelitian ini merekomendasikan penggunaan kombinasi algoritma Random Forest dan analisis perilaku jaringan sebagai solusi yang efektif untuk mendeteksi serangan DDoS dalam lingkungan komputasi awan. Penelitian lanjutan disarankan untuk mengembangkan dan menguji model dengan dataset yang lebih beragam serta mengoptimalkan algoritma untuk meningkatkan performa deteksi.   Kata kunci: Random Forest, DDoS, Cloud Computing
The EFFECTIVENESS TEST OF Cordyceps militaris FUNGUS AGAINST FIREWORM Setothosea asigna Ginting, Makhrani Sari; Simbolon, Hasanal Fachri Satia; Nurliana; Dibisono, Muhammad Yusuf; Wanda Sandy Pratama
Agro Estate Vol 8 No 2 (2024): Desember 2024
Publisher : Institut Teknologi Sawit Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47199/jae.v8i2.266

Abstract

Oil palm industry is an important source of Indonesian income. In its cultivation, oil palm plants also face some challenges, one of which is the attack of fireworm Setothosea asigna.  Fireworms are insects that can cause serious damage to oil palms. Various efforts were often made to control fireworm, one of which is by using biological agents such as the Cordyceps militaris fungus. The aim of this research is to determine the effectiveness of  C. militaris fungus against S. asigna. The research was carried out in the Experimental  Area of ​​Institut Teknologi Sawit Indonesia, from March to May 2024, using the Non-Factoral Randomized Block Design (RBD) with 5 treatments, namely F0/Control (without application of C. militaris), F1 (application C. militaris 15 grams/1 liter of water), F2 (application of C. militaris 20 grams/1 liter of water), F3 application of C. militaris 25 grams/1 liter of water) and F4 (application of C. militaris 30 grams/1 liter of water) with 5 repetitions. Data obtained was analyzed by using Analysis of Variance (ANOVA) and continued with Duncan's Multiple Range Test (DMRT). Result showed that C. militaris fungus was effective in controlling S. asigna. In this research the most effective concentration of  C. militaris fungus in controlling S. asigna was 30 grams/1 liter of water (F4), where in this treatment mortality 100% and LT50 occurs faster than in treatments F0, F1, F2 and F3.
Evaluating the Performance of LPG 3 KG Filling Machines: An ANOVA Approach to Machine Brand Efficiency (Study case: SPBE Wilayah Sumatera Utara-SAR Medan PT Pertamina Patra Niaga C&T). Yati, Nurhayati; Arisman; Simbolon, Hasanal Fachri Satia; Simatupang, Baharis Setia Adisahputra; Simangunsong, Pandi Barita Nauli
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 01 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i01.1099

Abstract

This study aims to investigate the differences in the average loading order quantities during the LPG 3 Kg filling process, as influenced by the type of filling machine brand. Specifically, the research focuses on three brands of filling machines: KOSAN-215H, DAESUNG-2189, and ELIXIR-217Q, which are utilized at the LPG Filling Stations (SPBE) in the Sumatera Utara-SAR Medan PT Pertamina Patra Niaga C&T. The statistical method employed for analysis is One-Way Univariate Analysis of Variance (ANOVA). A total of 27 observations were collected for each machine brand. The results of the analysis show that the calculated F-Statistic (3.171240679) exceeds the F-Critical (3.11379226), with a P-value of 0.0474111978, which is < 0.05 significance threshold. Therefore, the null hypothesis (H0) is rejected, and the alternative hypothesis (H1) is accepted, indicating that there is a statistically significant difference in the average loading order quantities among the three filling machines. These findings suggest that the loading order quantities differ significantly across the different brands of 3 KG LPG filling machines.
Sosialisasi Digital Marketing pada UMKM Keripik Selasih di Kelurahan Sentang, Kecamatan Kisaran Timur, Asahan Simbolon, Hasanal Fachri Satia; Pane, Muhammad Akbar Syahbana; Saleh, Khairul; Siregar, Ratu Mutiara; Prayogi, Andi; Sugianto, Raden Aris; Wahyuni, Ritna
Wahana Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2025): Edisi Juni
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/wahana.v4i1.906

Abstract

UMKM memiliki peran strategis dalam mendorong pertumbuhan ekonomi masyarakat, termasuk di Kabupaten Asahan, Sumatera Utara. Salah satu UMKM yang berpotensi untuk dikembangkan adalah Keripik Selasih, yang memiliki produk unggulan namun masih mengalami kesulitan dalam pemasaran digital. Kurangnya pengetahuan dan keterampilan dalam memanfaatkan teknologi digital menjadi hambatan utama dalam memperluas jangkauan pasar. Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan kapasitas pelaku UMKM Keripik Selasih dalam bidang digital marketing, melalui pelatihan yang mencakup penggunaan media sosial, pembuatan konten kreatif, dan pemanfaatan platform promosi daring. Metode pelaksanaan meliputi tahap persiapan, pelatihan tatap muka, praktik langsung, serta evaluasi hasil. Diharapkan melalui kegiatan ini, pelaku UMKM mampu memasarkan produk secara lebih efektif, memperluas jaringan konsumen, dan meningkatkan pendapatan usaha. Kegiatan ini juga menjadi bentuk kontribusi nyata mahasiswa dalam mendukung pemberdayaan ekonomi lokal melalui pendekatan teknologi informasi.
Pengenalan Teknik Eco Print Bagi Ibu PKK Desa Tanjung Harap Kabupaten Serdang Bedagai Sumatera Utara Nurliana, Nurliana; Simbolon, Hasanal Fachri Satia; Alamsyah, Jumadil; Ramadhan, Rico; Aldrisya; Rahmadani, Nisfa Amalia; Saragih, M. Setya Perdana; Purba, Dwiky Julius; Rambe, M. Sofyan Sauri; Al Fatiha, Nazwa Putri; Ardana, M. Tara Mico
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 4 No 1 (2025): Juli 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v4i1.451

Abstract

Pengabdian kepada Masyarakat ini dilaksanakan di Desa Tanjung Harap, Kecamatan Serba Jadi, Kabupaten Serdang Bedagai, Sumatea Utara. Adapun permasalah yang dihadapi di desa tersebut. (1) Kurangnya pengetahuan dan keterampilan masyarakat, khususnya ibu-ibu di Desa Tanjung Harap; (2) Pengabdian kepada Masyarakat ini bertujuan untuk mengenalkan eco print dengan teknik sederhana dengan menggali potensi lokal desa; (3) Metode yang digunakanan sosialisasi, dan pelatihan dengan teknik pounding; ibu-ibu PKK Desa Tanjung Harap, 15 orang; evluasi dilakukan dengan melihat hasil pelatihan dan penerimaan peserta terhadap pelatihan eco print tersebut (4) Warna alami dari hasil eco print terserap dengan baik untuk daun pepaya dan daun bunga bougenville. Keterampilan dan pengetahuan ibu-ibu PKK di Desa Tanjung Harap meningkat ditandai dengan penerimaan mereka akan pelatihan ini yang berdampak pada peningkatan keterampilan yang bernilai ekonomis dengan memanfaatkan potensi lokal.
Co-Authors Al Fatiha, Nazwa Putri Alamsyah, Jumadil Aldrisya Andi Prayogi Ardana, M. Tara Mico Arisman Khairul Saleh Makhrani Sari Ginting Muhammad Akbar Syahbana Pane Muhammad Yusuf Dibisono Navea, Roy Francis Nurliana Prayogi, Andi Purba, Dwiky Julius Rahmad Dian Rahmadani, Nisfa Amalia Rambe, M. Sofyan Sauri Ratu Mutiara Siregar Rico Ramadhan, Rico Ritna Wahyuni Saragih, M. Setya Perdana Simangunsong, Pandi Barita Nauli Simatupang, Baharis Setia Adisahputra Sugianto, Raden Aris Wanda Sandy Pratama Yati, Nurhayati