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All Journal Jurnal Sains dan Teknologi Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Manajemen Informatika dan Bisnis Digital Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS
Victor Asido Elyakim P
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary

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Peningkatan Literasi Digital Siswa melalui Kuis Berbasis Aplikasi Quizizz Oleh Kampus Mengajar Angkatan 6 di SMPS Muhammadiyah 55 Kandangan Muhammad Farhan; Darwin Nathaniel; Fery Padli Pratama; Victor Asido Elyakim P
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 3 No. 4 (2024): November 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v3i4.4245

Abstract

This community service activity aims to improve student digital literacy at SMPS Muhammadiyah 55 Kandangan through the implementation of Quizizz application-based quizzes. Digital literacy is increasingly important in the current era of digitalization, especially in the learning process. Through the use of educational technology such as Quizizz, it is hoped that students can get used to using technology in an interactive and fun way. The method used in this service is counseling and training to students on the use of the Quizizz application and assistance during the implementation of quizzes. This activity involves 7th, 8th, and 9th grade students who take part in interactive learning sessions using Chromebook and laptop devices. The research design used a one group pretest-posttest model to evaluate the effectiveness of the activity. The results showed a significant improvement in students' digital literacy after using the Quizizz application, with more than 70% of students experiencing an increase in posttest scores compared to the pretest. The use of this game-based application succeeded in creating a competitive and fun learning atmosphere, which had a positive impact on student motivation. However, obstacles such as limited devices and internet access are challenges that need to be overcome so that technology-based learning can run more optimally.
Peningkatan Teknologi Interaktif terhadap Pengembangan Sosial dan Emosional Pendidikan Anak Usia Dini (PAUD) Victor Asido Elyakim P; Aliya Firanti; Lulu Hidayah Harahap; Mustika Almuthi Mawardani; Dermawan Perangin-angin
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 3 No. 4 (2024): November 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v3i4.4285

Abstract

This activity aims to explore the influence of interactive technology on early childhood social and emotional development in early childhood education (ECED) settings. Interactive technologies such as tablets, learning apps and game-based educational devices are increasingly common in ECE classrooms. However, their impact on children's social and emotional development is still debated. This study used a quantitative survey approach with 50 children aged 4-6 years in ECD centers who had been using interactive technology for 6 months. The results of this activity show that interactive technology can have a positive influence on the development of children's social and emotional skills, provided that its use is directed and accompanied by teachers and parents. Children with moderate exposure to interactive technology showed improvements in their ability to interact with peers, as well as better emotional development in coping with frustration and understanding the feelings of others. However, there are also indications that excessive unaccompanied use may inhibit direct social interaction. Therefore, it is important to maintain a balance in the use of interactive technology in ECD to support children's optimal development.
Implementasi terhadap Teknologi Informasi dan Komunikasi dalam Penguatan Nilai-Nilai Islam di Pesantren Daarul Putra Madinah Siti Nurdiana Wijaya; Putri Aulia Harahap; Putri Ayu Ningsih; Novianty Khairani; Victor Asido Elyakim P
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 3 No. 4 (2024): November 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v3i4.4322

Abstract

Daarul Putra Madinah Islamic Boarding School has an important role in producing a generation that is noble and knowledgeable in accordance with Islamic values. However, the challenges of the digital era present an urgent need for the pesantren to integrate information and communication technology (ICT) in its education system. This pesantren faces several obstacles, such as limited digital resources, lack of understanding of technology among students and teachers, and less than optimal technology-based learning methods in supporting the understanding of Islamic values. This implementation activity aims to strengthen Islamic values through a digital approach that is more effective and relevant to the times. The activity steps include digital literacy training, multimedia-based Islamic content development, and the application of information and communication technology (ICT)-based learning applications. The expected result is an increase in the capacity of pesantren in utilizing technology to strengthen religious learning, while instilling Islamic values in a more interactive and contextual manner. With the implementation of this activity, pesantren are expected to be able to answer the challenges of modernization without sacrificing the essence of Islamic values, while creating a more inclusive, interesting, and relevant learning environment for santriDaarul Putra Madinah Islamic Boarding School has an important role in producing a generation that is noble and knowledgeable in accordance with Islamic values. However, the challenges of the digital era present an urgent need for the pesantren to integrate information and communication technology (ICT) in its education system. This pesantren faces several obstacles, such as limited digital resources, lack of understanding of technology among students and teachers, and less than optimal technology-based learning methods in supporting the understanding of Islamic values. This implementation activity aims to strengthen Islamic values through a digital approach that is more effective and relevant to the times. The activity steps include digital literacy training, multimedia-based Islamic content development, and the application of information and communication technology (ICT)-based learning applications. The expected result is an increase in the capacity of pesantren in utilizing technology to strengthen religious learning, while instilling Islamic values in a more interactive and contextual manner. With the implementation of this activity, pesantren are expected to be able to answer the challenges of modernization without sacrificing the essence of Islamic values, while creating a more inclusive, interesting, and relevant learning environment for santri.
Penerapan Metode Backpropagation dalam Jaringan Saraf Tiruan untuk Meningkatkan Prediksi Produksi Kentang di Sumatera Bagus Arya Atmaja; Gery Samuel Gultom; Jhon Hansen Manurung; Victor Asido Elyakim P
INSOLOGI: Jurnal Sains dan Teknologi Vol. 3 No. 6 (2024): Desember 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v3i6.4658

Abstract

Potato production in Sumatra plays an important role in supporting the national agribusiness sector. However, the uncertainty of factors such as weather, soil quality and farming practices often leads to fluctuations in production yields. This research aims to improve the accuracy of potato production prediction by applying the Backpropagation method in Artificial Neural Network. This research aims to find the best architecture model using the backpropagation method in predicting potato production in Sumatra. The data used was obtained from the Central Bureau of Statistics (BPS) and divided into training and testing data. This study tested several artificial neural network (ANN) architectures with models 6-10-1, 6-30-1, 6-50-1, 6-70-1, and 6-100-1. The results showed that the 6-50-1 architecture model gave the best results with 83% accuracy and 1617 epochs. In addition, this model has a low Mean Squared Error (MSE) on both training and testing data, which indicates good performance in potato production prediction. By using the backpropagation algorithm, this study provides an effective solution to improve the prediction of agricultural commodity production, particularly potatoes, which is important for decision-making and distribution planning. These findings can assist farmers and policy makers in planning more efficient production strategies and anticipating production challenges. This research confirms the importance of applying artificial intelligence technology to support the sustainability of the agricultural sector in Sumatra.
Jaringan Saraf Tiruan untuk Membangun Masa Depan Dunia Kerja di Pematangsiantar Victor Asido Elyakim P; Dermawan Perangin-angin; Sydah Wanju; Novi Hariyanti; Khafifah Dwi Meilianasari
INSOLOGI: Jurnal Sains dan Teknologi Vol. 3 No. 6 (2024): Desember 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v3i6.4669

Abstract

This research examines the application of artificial neural networks (ANN) in predicting the number of workers in Pematangsiantar City as an effort to build a more adaptive and measurable future of the world of work. This research aims to investigate the effectiveness of ANN techniques in processing historical data on the labor force to produce accurate predictions of future employment numbers. The research methodology involves using a dataset that includes key economic variables that affect the labor force, such as unemployment rate, economic growth, and other relevant variables. At the analysis stage, we implemented a ANN with an optimized configuration to model the complex patterns in the data. This research uses historical data related to the labor force, local economy, and other social indicators as model inputs. The results show that this technology can generate reliable predictions to support strategic decision-making, such as job training planning, resource allocation, and workforce policy development. In addition, the application of this technology is expected to help the government and economic actors in dealing with labor market dynamics in the digital era. This research also contributes to the literature on the application of machine learning techniques in the economic domain, by highlighting the potential and limitations of using ANNs to predict complex economic phenomena such as the labor force. Thus, this research contributes to the innovative utilization of smart technology to advance the local employment sector in Indonesia.
PERANAN ETIKA MENGHADAPI ERA DIGITAL PADA REMAJA GKPI JEMAAT KHUSUS IMMANUEL JALAN ASAHAN PEMATANGSIANTAR Victor Asido Elyakim P; Panggabean, Josua Alfa Viando
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 2 No. 1 (2024): Februari
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v2i1.548

Abstract

Di era digitalisasi perkembangan dunia teknologi informasi melalui media semakin berkembang semakin pesat. Perkembangan teknologi saat ini memberikan dampak positif maupun negatif yang berpengaruh terhadap perubahan perilaku manusia baik bersosial dan berkomunikasi. Dalam hal tersebut penggunaan internet dan media sosial pada saat ini semakin meningkat setiap tahunnya terlebih pada saat masa Covid-19. Media sosial dapat menjadi sarana bagi manusia untuk melakukan interaksi jarak jauh. Pada generasi milenial saat ini sering terlihat tidak peduli terhadap keadaan sekitar, bahkan terlihat lebih memilih menghabiskan waktunya di dalam dunia maya. Akibat hal tersebut etika dalam penggunaan teknologi perlu ditingkatkan agar generasi milenial bijak menggunakaan teknologi di era digital. Maka diperlukan upaya pemberian ilmu pengetahuan dan pendampingan kepada generasi muda agar dapat berperilaku yang baik dalam dunia maya. Dosen Ilmu Komputer Fakultas FMIPA melalui kegiatan Pengabdian Kepada Masyarakat berupaya memberikan sumbangsih ilmunya kepada remaja akan menghadapi hal tersebut. PKM bertujuan untuk memperjelas konsep media sosial dan etika serta bagaimana iklan media sosial mempengaruhi remaja di era digital serta kegiatan sosialisasi membangun kesadaran moral dan etika dalam berinteraksi di era digital, semua peserta sangat semangat dalam mengikuti acara sampai selesai dan merasakan manfaatnya. 
Penilaian Keunggulan Layanan ShopeePay dan DANA Menggunakan Simple Additive Weighting (SAW) Mhd. Fauzal Pratama; Immanuel Christian Manalu; Anya Nailah Aurellia; Victor Asido Elyakim P
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 3 No. 2 (2024): November 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v3i2.4814

Abstract

Advances in information technology have contributed greatly to the transformation of payment systems, including the emergence of online payment applications or e-wallets. E-wallets such as ShopeePay and DANA have become popular in Indonesia due to the ease, speed, security, and flexibility of transactions they offer. This study aims to evaluate and compare the performance of the two e-wallets using the Simple Additive Weighting (SAW) method. The SAW method is used to analyze and compare alternatives based on a number of predetermined criteria, such as ease of use, security, transaction speed, costs, and user satisfaction levels. Research data was obtained from various sources related to the performance of the two applications, including usage statistics and user reviews. The results of the analysis show that both apps have advantages in certain criteria; for example, ShopeePay is superior in transaction fees, while DANA stands out in speed and security. However, an overall assessment based on the weighting of the criteria reveals a final score that provides important insights for both users and developers. However, analysis using the SAW method provides deeper insight into the advantages of each application based on the weight of the relevant criteria. This study is expected to help users choose an e-wallet that suits their needs and provide guidance for application developers to improve service quality.
Diagnosis of Skin Diseases Using Artificial Neural Networks with Backpropagation Algorithm Dony Jordan Pangomoan Sirait; Angga Priandi; Yemima Pepayosa Sembiring; Alyah Octafia; Victor Asido Elyakim P
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 1 (2025): Maret 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i1.5643

Abstract

Skin health is a vital aspect as it functions as the body's primary protector from the external environment. Various skin diseases can arise due to infections, allergies, autoimmune disorders, or environmental factors, and often exhibit similar symptoms, making diagnosis difficult. Artificial intelligence technology, such as Artificial Neural Networks (ANN), offers an innovative solution for accurate diagnosis. One popular ANN method is Backpropagation, which updates network weights iteratively based on the errors produced. This research focuses on applying the Backpropagation algorithm to diagnose skin diseases based on patient symptoms. With a binary data-based system and training using Backpropagation, this system is expected to accurately map symptoms to types of skin diseases. The methodology involves problem identification , data collection (types of skin diseases and symptoms, encoded in binary), dataset and diagnosis rule formation , ANN design (input, hidden, and output layers) , and training and testing using binary data and one-hot encoding. The results indicate that the application of ANN with Backpropagation is effective in assisting the automatic diagnosis process for skin disease cases , achieving an accuracy of 90%. This demonstrates the significant potential of this method in automated medical expert systems.
Analysis of the Impact of Balance Between Work and Study on Student Learning Productivity STIKOM Tunas Bangsa Pematangsiantar Hafizah Rahmi Lubis; Wanda Eka Nugraha; Zaskia Aulia Zahra; Ferdinand Saragih; Victor Asido Elyakim P
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 1 (2025): Maret 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i1.5644

Abstract

Working while studying has become a common phenomenon among students, especially due to the increasing cost of living and education. A balance between study and work is essential to maintain learning productivity, especially for students who are also active in campus organizations. However, many students have difficulty managing their time, which can lead to stress, fatigue, and decreased academic quality. This study highlights the challenges faced by working students, such as high workload, academic demands, and lack of rest time. With good time management, such as creating a clear schedule and utilizing free time effectively, students can achieve a better balance between study and work. Therefore, it is important for students to develop optimal time management strategies to maintain learning productivity and achieve academic success
Application of Backpropagation Algorithm for Prediction of Sales Results of Basic Foodstuffs at Artha Water Store Dwi Safitri Ramadhani; Abdul Ghani Ardiansyah; Damar Arya Prayoga; Riko ILham Nandika; Victor Asido Elyakim P
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 1 (2025): Maret 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i1.5764

Abstract

Companies need to implement sales growth forecasting strategies to create a balance between inventory and sales needs. Without this effort, an imbalance between inventory and sales can cause losses for the company, both in terms of finance and customer satisfaction. As a business entity engaged in the sale of basic necessities, Artha Water is committed to managing its business seriously in order to achieve profits and meet customer needs optimally. However, the development of consumer consumption patterns and sales growth lines at Artha Water which are fluctuating (up and down) make it quite difficult for the cooperative to balance inventory with demand for goods from consumers. By utilizing science in Artificial Neural Networks, we can predict future income using the Backpropagation Algorithm. From the previous description, the author concludes that from the results of the study with the best architecture experiments, namely 12-10-1 to predict sales growth at the Artha Water Store in 2024, it shows an accuracy result of 92%, MSE training of 0.06031588, that there is a significant difference, in other words, sales growth at the Artha Water Store will increase in 2024. With a total sales result of basic necessities at the Artha Water Store for 2024 of IDR 336,930,000.
Co-Authors Abdul Ghani Ardiansyah Adinda Febiola Aklima Laduna Ramadya Alisa Putri Amanda Nasution Aliya Firanti Alyah Octafia Angga Priandi Anya Nailah Aurellia Aprillya Zahra Iswandy Lubis Auralia Izmi Ayu Utari Nasution Bagas Adi Nata Baginda Faustine Sinaga Bagus Arya Atmaja Candra Harapan Simanjuntak Damar Arya Prayoga Daniel Desmanto Sihombing Darwin Nathaniel Dermawan Perangin-angin Deswita Maharani Harahap Dian Yusri Andira Dika Chryston Purba Dimas Prayogi Dongan Parulian Hutasoit Dony Jordan Pangomoan Sirait Dwi Safitri Ramadhani Ega Wahyu Andani Eko Prima Ambarita Endang Kartika Fahriya Ardiningrum Ferdinand Saragih Fernando Siahaan Fery Padli Pratama Gery Samuel Gultom Hafizah Rahmi Lubis Haya Atiqah Tampubolon Heba Elsisy Fadlia Immanuel Christian Manalu Indah Frian Sari Indra Lesmana Putra Jeremi Sibarani Jhon Hansen Manurung Khafifah Dwi Meilianasari Khaswa Giovani Simanungkalit Lulu Hidayah Harahap M Arif Y Sinaga M Ilham Azharsum M.Alfathan Haris Mhd. Fauzal Pratama Michael Orlando A. Purba Mirza Afif Pradivta Muhammad Farhan Muhammad Fikri Azhari Muhammad ihsan Raditya Muhammad Rizky Ramadhan Muhammad Robbi Akbar Pohan Mustika Almuthi Mawardani Novi Hariyanti Novianty Khairani Nurhidayanti, Nurhidayanti Olivia Diwani Saragih P.A.M. Zidane R.W.P.P. Zer Panggabean, Josua Alfa Viando Permaisuri Siregar Putri Aulia Harahap Putri Ayu Ningsih Rahma Dhea Safitri Ratih Manalu Regita Audyna Siregar Riko ILham Nandika Rizky Nurhasanah Sabrina Fadillah Samantha Arta Sinuhaji Sandy Hardiansyah Sella Ujani Siti Asiah Siti Nurdiana Wijaya Sydah Wanju Tiara Dwi Lestari Purba Vibiola Br Damanik Wanda Eka Nugraha Wanda Riana Wilman Arif Telaumbanua Yayang Arum Kemangi Yemima Pepayosa Sembiring Yolanda Victoria Damanik Yuegilion Pranayama Purba Yulita Santa Nova Girsang Zaskia Aulia Zahra