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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL PENDIDIKAN TAMBUSAI INFOKUM Journal of Computer Networks, Architecture and High Performance Computing Djtechno: Jurnal Teknologi Informasi Jurnal PkM (Pengabdian kepada Masyarakat) Brilliance: Research of Artificial Intelligence Ulead : Jurnal E-pengabdian Jurnal Ilmiah Mahasiswa Pendidikan
Siti Sarah Harahap
Program Studi Informatika, Universitas Satya Terra Bhinneka, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Analysis of the Multi Objective Optimization by Ratio Analysis (MOORA) Method in Determining Pilot Areas at PT. XYZ Simamora, Windi Saputri; Harahap, Siti Sarah; Idaman, Akbar; Simatupang, Septian
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4149

Abstract

This research analyzes the application of the Multi Objective Optimization by Ratio Analysis (MOORA) method model in determining the Pilot Area at PT XYZ. This method is used to evaluate various performance criteria, including customer satisfaction, productivity, service quality, and operational efficiency. Currently, the Pilot Area assessment and selection process at PT XYZ is still done manually, which causes a lack of accuracy and efficiency. MOORA was chosen for its ability to handle multi-criteria decision-making problems more systematically and objectively. The analysis results showed that Alternative Area 7 obtained the highest final score of 0.39, placing it as an area with superior performance. The application of MOORA is proven to improve accuracy and efficiency in the Pilot Area determination process, providing a more objective basis for decision-making. By using MOORA, PT XYZ can evaluate area performance more comprehensively and accountably. This research recommends that PT XYZ implement the MOORA method thoroughly and conduct periodic evaluations of the methods used. For theory development, PT XYZ can add specific evaluation criteria according to company needs. The implementation of these suggestions is expected to improve the quality of service and competitiveness of PT XYZ in the global market. Further research is expected to compare MOORA with other methods to strengthen the validity of the results. Thus, this research not only provides a practical contribution to PT XYZ but also adds academic insight into the application of multi-criteria optimization methods in the context of performance management and service improvement.
Analysis of Factors Causing Toddler’s Malnutrition in Medan City Using the Random Forest Method Simamora, Windi Saputri; Harahap, Siti Sarah; Pratama, Andre
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15380

Abstract

Malnutrition and severe malnutrition in toddlers remain critical public health concerns that impair physical growth, cognitive development, and long-term productivity. Deficiencies in essential nutrients increase the risks of stunting, weakened immunity, and developmental delays. Although interventions such as supplementation and routine anthropometric monitoring are implemented, comprehensive identification of multidimensional causal factors is still limited, reducing the effectiveness of targeted policies. This study aims to predict toddler nutritional status using a quantitative data mining approach. A dataset consisting of 328 samples and 17 features was collected from health facilities in Medan City, including Puskesmas, the Health Office, and Posyandu. A Random Forest Classifier was developed with missing-value handling, feature engineering, and feature importance analysis to identify dominant predictors of nutritional outcomes. The model achieved an overall accuracy of 92.42 percent and showed strong performance in identifying the “Normal” class, although predictive sensitivity for minority classes such as “Gizi Kurang” and “Gizi Buruk” remained comparatively lower. Feature importance analysis indicated that complete immunization and health insurance ownership were the most influential determinants of nutritional status. This research provides a machine learning–based tool for early nutritional risk prediction and offers data-driven insights to support more precise malnutrition interventions. Future enhancement may include expanding feature diversity and applying advanced interpretability techniques to strengthen model reliability. The findings reinforce the importance of evidence-based nutrition policy strategies that prioritize early prevention and improved child health outcomes.
Pemberdayaan ekonomi ibu rumah tangga Desa Pasar Melintang melalui pemanfaatan teknologi informasi dan kecerdasan buatan Simamora, Windi Saputri; Harahap, Siti Sarah; Pratama, Andre
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i2.38823

Abstract

Abstrak Desa Pasar Melintang di Kecamatan Lubuk Pakam merupakan wilayah dengan mayoritas masyarakat yang menggantungkan hidup pada sektor pertanian padi sawah. Namun, keterbatasan akses informasi dan rendahnya literasi digital, khususnya pada kalangan ibu rumah tangga, menghambat optimalisasi pemanfaatan teknologi informasi dan Artificial Intelligence (AI) dalam mendukung aktivitas ekonomi produktif. Program pengabdian ini bertujuan untuk: (1) meningkatkan literasi digital dasar, (2) mengembangkan keterampilan pemasaran digital berbasis media sosial, dan (3) meningkatkan kemampuan pemanfaatan AI untuk mendukung kegiatan ekonomi rumah tangga. Metode yang digunakan adalah Participatory Action Research (PAR) yang melibatkan partisipasi aktif masyarakat dalam setiap tahapan, meliputi identifikasi kebutuhan melalui diskusi dengan perangkat desa, perencanaan program berbasis kebutuhan peserta, pelaksanaan pelatihan berbasis praktik langsung, evaluasi menggunakan pre-test dan post-test, serta penyusunan tindak lanjut. Pelatihan mencakup penggunaan media sosial untuk pemasaran serta pemanfaatan tools AI seperti ChatGPT dan Canva AI dalam pembuatan konten promosi. Hasil menunjukkan adanya peningkatan pemahaman peserta yang signifikan, ditandai dengan kenaikan nilai rata-rata dari 65,45 pada pre-test menjadi 80 pada post-test. Selain itu, peserta juga mengalami peningkatan keterampilan dalam membuat konten digital dan memanfaatkan AI untuk promosi usaha. Program ini berkontribusi terhadap pemberdayaan ekonomi melalui perluasan peluang peningkatan pendapatan berbasis pemasaran digital. Temuan ini menunjukkan bahwa pendekatan partisipatif yang kontekstual efektif dalam meningkatkan literasi digital serta mendorong pembangunan desa yang lebih adaptif terhadap transformasi digital. Kata kunci: literasi digital; teknologi informasi; kecerdasan buatan; pemberdayaan masyarakat; ibu rumah tangga. Abstract Pasar Melintang Village in Lubuk Pakam District is an area where most residents rely on rice farming as their primary livelihood. However, limited access to information and low digital literacy, particularly among housewives, hinder the optimal use of information technology and Artificial Intelligence (AI) in supporting productive economic activities. This community service program aims to: (1) improve basic digital literacy, (2) develop social media-based digital marketing skills, and (3) enhance the use of AI to support household economic activities. The method used is Participatory Action Research (PAR), involving active community participation in all stages, including needs identification through discussions with village officials, program planning based on participants’ needs, hands-on training implementation, evaluation using pre-test and post-test instruments, and follow-up planning. The training covered social media utilization for marketing and the use of AI tools, such as ChatGPT and Canva AI, for creating promotional content. The results show a significant improvement in participants’ understanding, indicated by an increase in the average score from 65.45 in the pre-test to 80 in the post-test. Participants also improved their skills in creating digital content and utilizing AI for business promotion. The program contributes to economic empowerment by expanding opportunities to increase income through more effective digital marketing. These findings suggest that a contextual and participatory approach effectively enhances rural digital literacy and supports more adaptive village development in the digital era. Keywords: digital literacy; information technology; artificial intelligence; community empowerment; housewives.
Menanamkan Nilai-Nilai Kewarganegaraan Global pada Generasi Z Sinuhaji, Desmalia Febrina; Manik, Gracia Cerilya Putri; Ramadhani, Jopani; Harahap, Siti Sarah; Khairunnisa, Khairunnisa
Jurnal Pendidikan Tambusai Vol. 10 No. 1 (2026)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v10i1.37371

Abstract

Globalisasi telah membawa perubahan dalam kehidupan masyarakat, khususnya dalam bidang pendidikan dan pembentukan karakter generasi muda. Generasi Z sebagai generasi yang tumbuh dalam era digital memiliki akses luas terhadap informasi global, namun juga menghadapi berbagai tantangan seperti rendahnya kesadaran sosial, konflik budaya, serta penyebaran informasi yang tidak akurat. Penelitian ini menggunakan metode studi literatur dengan pendekatan deskriptif kualitatif melalui analisis berbagai jurnal ilmiah yang relevan dalam sepuluh tahun terakhir. Hasil analisis menunjukkan bahwa terdapat beberapa komponen utama dalam kewarganegaraan global pada generasi Z, yaitu kesadaran global, toleransi terhadap keberagaman budaya, tanggung jawab sosial, literasi digital, serta partisipasi sosial dalam masyarakat.
Co-Authors Akbar Idaman Hadistio, Ryan Rinaldi Hadistio, Ryan Rinaldi Harjatanaya, Tracey Yani Khairunnisa Khairunnisa Manik, Gracia Cerilya Putri Mhd Furqan Muhammad Zarlis, Muhammad Poltak Sihombing Pratama, Andre Rakhmat Kurniawan R Ramadhani, Jopani Ryan Rinaldi Hadistio Salim, Rin Rin Meilani Simamora, Windi Saputri Simatupang, Septian Sinuhaji, Desmalia Febrina Siregar, Manutur Pandapotan Tar Muhammad Raja Gunung Windi Saputri Simamora