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All Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Kappa Journal Jurnal Informasi dan Teknologi EINSTEIN (E-JOURNAL)
Nasution, Habibi Azka
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Agriculture, Biological Sciences & Forestry Astronomy Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Aplikasi Pemilihan Lapangan Futsal Menggunakan Mobile-GIS dan GPS Dengan Metode Algoritma Dijkstra Kraugusteeliana, Kraugusteeliana; Nasution, Habibi Azka; Triwahyono, Bambang; Ikhwani, Muhammad; Ardian, Zalfie; Bintoro, Andik
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.417

Abstract

Penyedia jasa penyewaan lapangan futsal merupakan suatu usaha yang bergerak di bidang pelayanan masyarakat dalam bidang olahraga futsal. Saat ini sudah banyak yang melakukan usaha di bidang tersebut, banyak pelaku usaha membuka arena futsal di berbagai tempat, mulai dari sekitaran kampus, kawasan perkantoran, hingga permukiman padat penduduk. Terdapat 10 lapangan futsal yang ada di Kota Lhokseumawe. Aplikasi yang dibuat memiliki kelebihan dapat menentukan rute terpendek dari lokasi pengguna berada menuju lapangan futsal yang dipilih dan juga lokasi lapangan futsal serta deskripsi singkat mengenai lapangan futsal yang ada di Kota Lhokseumawe. Penentuan rute terpendek yang dilewati menuju lokasi lapangan futsal hanya bisa di lakukan pada node yang telah terdefenisi oleh sistem. Algoritma Dijkstra dipilih sebagai metode dalam penentuan lokasi terpendek karena Algoritma ini beroperasi secara menyeluruh terhadap alternatif fungsi yang ada, dan dihasilkan lintasan terpendek dari semua node sehingga akan menghasilkan rute terpendek secara optimal. Untuk menguji ketepatan rute terdekat hasil implementasi Algoritma Dijkstra digunakan software lain yaitu Quantum GIS. Hal ini dilakukan untuk melihat apakah jalur yang dihasilkan sudah benar. Dari hasil pengujian didapatkan jalur yang diperoleh sama dengan perhitungan Quantum GIS dengan nilai kesamaan 100%. Pengujian black box digunakan untuk menguji fungsionalitas menu-menu yang ada di dalam sistem, dan di dapatkan hasil pengujian dari segi fungsionalitas menu-menu pada sistem berjalan sesuai dengan keinginan dan berjalan baik. Sehingga sistem baik untuk digunakan.
NUMERICAL ANALYSIS OF CONCRETE-FLY ASH AND CONCRETE-OPC IN MULTI- STOREY BUILDINGS DURING EARTHQUAKES Nasution, Habibi Azka; Gea, Mitra Lestari; Nasution, Budiman
EINSTEIN (e-Journal) Vol. 13 No. 1 (2025): EINSTEIN (e-Journal)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/eins.v13i1.48769

Abstract

OPC-concrete is the most commonly used type of concrete. The production of OPC produces CO2 emissions, which is one of the main causes of climate change and global warming. A recent innovation used as a high-strength concrete admixture is fly ash. Earthquakes pose a serious threat to the safety and stability of high-rise buildings. This study uses a finite difference method computational approach to analyze the seismic behavior of multi-storey buildings using fly ash concrete and opc concrete by utilizing data on stiffness, mass, damping, and earthquake acceleration. Based on the simulation results, the mode shape graphs of fly ash concrete and opc concrete are similar but the vibration frequencies of both are different, where the frequency of fly ash concrete is higher than the frequency of opc concrete. The displacements of the buildings with fly ash concrete and opc concrete still meet the applicable deviation allowance, where the maximum displacements of the buildings are 0.00308 m and 0.00342 m, respectively, while the maximum shear force of both buildings occurs on the first floor, which is 5967.59 N and 5104.78 N, respectively.
TOPOGRAPHIC MAPPING OF SLOPES IN LANDSLIDE PRONE AREAS USING THE SCHLUMBERGER CONFIGURATION GEOELECTRICS TECHNIQUE Situmorang, Howard; Nasution, Habibi Azka; Nasution, Budiman; Aningsih, Sri; Ummi, Shofia
EINSTEIN (e-Journal) Vol. 13 No. 1 (2025): EINSTEIN (e-Journal)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/eins.v13i1.65332

Abstract

Landslides in Lembang in 2020-2021 were influenced by intense heavy rainfall. The surface contours in the village are generally in steep surface conditions with varying slope angles. The purpose of this study was to determine the surface contour in two dimensions by using the geoelectric method with Schlumberger configuration. The first stage was carried out by recording data on 5 tracks with 3 parallel tracks up to 75 , one track intersecting the other track area up to 60 and one track next to the landslide at 52.5 . The results showed that the resistivity of the rocks varied between 0.465-1952 . Interpretation of rock 0.465-21.5 as clay and sand, 22-146 as sandstone, dry gravel, 156-380 as andesite, basalt and 389-1952 as granite, diorite, limestone. The contrasting differences in the variation of the values on each track are known as slip planes. Slip planes have been found on 5 tracks with depths ranging from 6 to 12 m. The results of the 2-dimensional surface modelling that has been carried out show that the research area has the potential for landslides
Transformasi usaha tanaman hias aglonema dengan teknologi IoT: solusi penyiraman otomatis untuk meningkatkan produktivitas Nasution, Budiman; Sani, Ridwan Abdullah; Siregar, Alkhafi Maas; Nasution, Habibi Azka; Situmorang, Howard
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 5 (2025): September
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i5.33387

Abstract

AbstrakUsaha tanaman hias Aglonema memiliki potensi ekonomi yang signifikan, namun sering terkendala oleh manajemen penyiraman yang tidak optimal, menyebabkan penurunan kualitas dan produktivitas. Penelitian pengabdian masyarakat ini bertujuan untuk mengoptimalkan produktivitas usaha Aglonema melalui implementasi sistem penyiram otomatis berbasis Internet of Things (IoT). Sistem ini dirancang untuk memantau kelembaban tanah secara real-time menggunakan sensor dan melakukan penyiraman otomatis berdasarkan ambang batas yang ditentukan, mengurangi intervensi manual dan potensi kesalahan manusia. Metode yang digunakan meliputi perancangan sistem perangkat keras dan perangkat lunak, instalasi di lokasi mitra usaha, serta pelatihan dan pendampingan. Hasil implementasi menunjukkan peningkatan efisiensi penyiraman, penghematan air, dan waktu kerja petani, serta peningkatan kualitas dan kuantitas produksi Aglonema. Diharapkan inovasi ini dapat menjadi solusi berkelanjutan untuk meningkatkan daya saing dan kesejahteraan pelaku usaha tanaman hias. Kata kunci: aglonema; Internet of Things (IoT); penyiram otomatis; produktivitas; pengabdian masyarakat. AbstractThe Aglonema ornamental plant business has significant economic potential, but is often constrained by non-optimal watering management, causing a decrease in quality and productivity. This community service research aims to optimise Aglonema business productivity through the implementation of an Internet of Things (IoT)-based automatic watering system. The system is designed to monitor soil moisture in real-time using sensors and perform automatic watering based on a defined threshold, reducing manual intervention and potential human error. The methods used include hardware and software system design, installation at business partner locations, and training and mentoring. The implementation results show an increase in watering efficiency, water savings, and farmer work time, as well as an increase in the quality and quantity of Aglonema production. It is hoped that this innovation can be a sustainable solution to improve the competitiveness and welfare of ornamental plant business actors. Keywords: aglonema; Internet of Things (IoT); automatic sprinklers; productivity; community service.
Analysis of Solar Flux and Sunspot Correlation Case Study: A Statistical Perspective Siagian, Ruben Cornelius; Alfaris, Lulut; Nasution, Budiman; Nasution, Habibi Azka
Kappa Journal Vol 7 No 1 (2023): April
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v7i1.12238

Abstract

This analysis examines the relationship between the number of solar flares and the number of sunspots in 2005 using 11 observations in months 2 to 12. The number of solar currents measures the intensity of the radiation emitted by the Sun, while the number of sunspots measures the number of sunspots on the surface of the Sun. Multivariate linear regression analysis was used to analyze the relationship between Solar Current Rate and Number of Sunspots. The results of the analysis show that the coefficient of the Amount of Solar Current is 1.1239 with a significant t value of 2.510 (probability that there is no effect on the Number of Sunspots is 3.33%). The linear regression model has good results with an F-statistic value of 6.301 and a p-value of 0.0333, with an R-squared value of 0.4118 which indicates that 41.18% of the variation in the number of sunspots is influenced by variations in the amount of solar currents. The corrected R-squared value is 0.3464 indicating that there are still variations in the number of sunspots that cannot be explained by variations in the number of solar currents. ARIMA analysis results show an MA coefficient of 0.7351 with an average value of 45.9542 and a s.e value of 0.2590 and 6.1550 respectively. The AIC, AICc, and BIC values are 92.97, 96.4, and 94.16. The error results in the training set show that the ME value is 0.2615561, the RMSE value is 12.16969, the MAE value is 9.03306, the MPE value is -15.14689, the MAPE value is 30.42013, and the MASE value is 0.674109. The ACF1 value in the exercise set is 0.0808969.
Co-Authors Alkhafi Maas Siregar Andik Bintoro Aningsih, Sri Budiman Nasution Gea, Mitra Lestari Howard Situmorang Kraugusteeliana Kraugusteeliana Lulut Alfaris Muhammad Ikhwani Ridwan Abdullah Sani Shofia Ummi Siagian, Ruben Cornelius Triwahyono, Bambang