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Muhammad Khoiruddin Harahap
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Gedung Universitas Prima Indonesia Fakutas Teknologi dan Ilmu Komputer Program Studi Teknik Informatika Jl. Sekip Simp.Sikambing, Sei Putih Tim. I, Kec. Medan Petisah, Kota Medan, Sumatera Utara 20111
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JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP)
Published by Universitas Prima Indonesia
ISSN : 2621234X     EISSN : 2621234X     DOI : doi.org/10.34012
Core Subject : Science,
Computer Science & IT
JuTIKom PRIMA(Jurnal Teknologi dan Ilmu Komputer Prima) adalah jurnal yang di fokuskan Terhadap bidang ilmu Teknologi dan Ilmu Komputer. Tujuan jurnal adalah untuk mengakomodir para dosen dan mahasiswa baik dalam lingkungan kampus Universitas Prima Indonesia maupun dari kampus berbeda jurnal ini menerbitkan artikel berkualitas yang didedikasikan untuk semua perkembangan terbaru yang luar biasa di bidang teknik informatika. Ruang lingkupnya mencakup : Visi Komputer; Pembelajaran Mesin; Data Mining; Analisis Big Data; Pemrosesan Bahasa Alami, Sentimen Analisis, Sosial Media Analisis; Kecerdasan Robotik; Kecerdasan Buatan; Pemrosesan Gambar dan Pengenalan Pola; Keamanan Komputer; Interaksi Komputer Manusia; Intelijensi Bisnis
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 153 Documents
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Application of K-Means Clustering Algorithm for Air Quality Pattern Analysis in Jakarta Razan, Muhammad Arya Fayyadh; Alifah, Nur Juzieatul; A’yuni, Qurrata; Wati, Masna; -, Haviluddin
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 8 No. 1 (2025): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v8i1.7028

Abstract

Air pollution in urban areas, particularly in Jakarta, is a significant issue that impacts public health and environmental quality. This study aims to analyze air quality patterns in Jakarta from 2010 to 2023 using the K-Means Clustering method based on Air Pollution Standard Index (ISPU) data. Data processing stages based on the CRISP-DM methodology are applied to process and analyze data systematically. The stages include business understanding, data understanding, data preparation, modeling, and evaluation. The results showed that the data were divided into three distinct clusters: healthy, unhealthy, and moderate. Cluster 0, which includes stations DKI1 and DKI2, shows better air quality, while cluster 2, which consists of stations DKI3, DKI4, and DKI5, shows higher pollution levels. These findings offer valuable insights for policymakers in developing more effective air pollution control strategies. Thus, the results of this study not only contribute to the understanding of air quality in Jakarta but also emphasize the need for data-driven mitigation actions to improve public health and the environment.  
Assessment of Plant Growth in Aeroponic Systems Integrated with Smart Farming Compared to Conventional Methods Ihsan, Muhammad; Elsi, Zulhipni Reno Saputra
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 8 No. 1 (2025): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v8i1.7033

Abstract

The increasing demand for sustainable agriculture in Indonesia and challenges like land scarcity and inefficient resource use have driven interest in innovative farming technologies. This study investigates the comparative effectiveness of an innovative farming-based aeroponic system versus a conventional soil-based system in cultivating green chili. A quantitative experimental design was employed, using IoT-integrated sensors in the aeroponic setup to monitor and control environmental parameters, while the conventional system relied on manual practices. Key growth indicators, including plant height, number of leaves, and wet and dry weight, were measured over a 30-day day. Statistical analysis revealed that the aeroponic system significantly outperformed the conventional system across all parameters (p < 0.05), with dry weight showing the most substantial improvement. These findings underscore the potential of smart aeroponics in enhancing crop productivity and resource efficiency. However, cost, energy dependency, and scalability considerations must be addressed to enable broader adoption. The study contributes to the growing body of evidence supporting precision agriculture as a viable strategy for sustainable food production.
Adaptive Web-Based Information System for MBKM Program Using Scrum Putri, Riska; -, Okta; khairunisa, farinnadiya; -, Cristopher; Nababan, Marlince
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 8 No. 1 (2025): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v8i1.7131

Abstract

The implementation of the “Merdeka Belajar Kampus Merdeka” (MBKM) program requires an integrated and adaptive information system to manage academic activities efficiently. This study aims to develop a web-based MBKM Management Information System at Universitas Prima Indonesia using the Scrum framework. The system supports structured registration, reporting, assessment, and verification processes involving students, academic advisors, department heads, and MBKM administrators. Technologies used include React.js and Next.js for the frontend, Express.js for the backend, and MySQL for the database. A key contribution of this research is the application of the agile Scrum methodology to accommodate the dynamic nature of MBKM policies, ensuring iterative development and user-centered design. Internal testing using Black Box methods indicates high functionality and usability. The resulting system enhances efficiency, data integration, and stakeholder collaboration. This study demonstrates how agile practices can be effectively applied to develop scalable academic systems that support national education reforms.

Page 16 of 16 | Total Record : 153

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