GEOGRAPHIC INFORMATION SYSTEM (GIS) FOR MAPPING OF DRUG ABUSE USING SPATIAL CORRELATION ANALYSIS IN NORTH SUMATRA PROVINCE

<div><div><p class="Els-history-head">Drug abuse is a problem that affects almost every country in the world including Indonesia. In the long term, it has the potential to disrupt competitiveness, weaken national resilience, and can hinder the progress of a nation. North Sumatra is a province that has the highest prevalence of drug abusers in Indonesia, which none of the villages in this Province is free from drug abuse. The North Sumatera Province also has the highest number of drug abusers undergoing rehabilitation at the BNN Rehabilitation Center. The use of geospatial technology can help understand the phenomenon of drug abuse by area or spatial. One of the geospatial technology that commonly uses is the Geographic Information System (GIS). This study aims to show that GIS can be used in mapping drug-prone areas in North Sumatra based on North Sumatran people undergoing drug rehabilitation. The method used is a retrospective based on secondary data and spatial statistics in GIS. The environment prone to drug abuse based on the number of people undergoing drug rehabilitation at the BNN Rehabilitation Center from North Sumatra is divided into 3 zones based on the number of clients distributed in BNN Rehabilitation Center, namely red, yellow and green. Red zone 3 cities/districts namely Deli Serdang, Medan, and Binjai with 9 sub-districts namely Percut Sei Tuan, Medan Amplas, Medan Helvetia, Medan Tembung, Medan Perjuangan, Binjai Utara, Medan Sunggal, Medan Johor, Medan Timur. The yellow area has 25 districts, the green area is 103 districts. In a conclusion, the Geographic Information System (GIS) is a technology that can be used to map drug-prone areas.</p></div></div>

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Coastal vulnerability mapping due to tsunami using Geographic Information System in Buleleng Regency, Bali Province

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/944/1/012045 ◽

2021 ◽

Vol 944 (1) ◽

pp. 012045

Author(s):

N P A R Suhita ◽

V P Siregar ◽

J Lumban-Gaol

Keyword(s):

Information System ◽

Geographic Information System ◽

Field Data ◽

Secondary Data ◽

Geographic Information ◽

Coastal Vulnerability ◽

Earthquake Sources ◽

Thrust Zone ◽

Geographical Position ◽

Back Arc

Abstract Bali is one of the areas vulnerable to disasters because of its geographical position, which is flanked by two earthquake sources in the form of a subduction zone and back-arc thrust zone, which can cause a tsunami in Bali region. This research aims to identify and map the level of coastal vulnerability to the tsunami in Buleleng Regency, Bali Province. The mapping was carried out using Geographic Information System (GIS). This study used secondary data and field data. The parameters used in analyzing the level of tsunami vulnerability were land elevation, slope, landuse, distance from the beach, and distance from the river. The level of vulnerability was grouped into five classes, namely very safe (35,466.9 ha), safe (70,485.0 ha), moderately vulnerable (17,645.0 ha), vulnerable (6,903.3 ha), and very vulnerable (438.9 ha) located in the Districts of Gerokgak, Seririt, Buleleng, and Sawan which are close to the river.

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Indigenously developed digital handheld Android-based Geographic Information System (GIS)-tagged tablets (TABs) in malaria elimination programme in Mangaluru city, Karnataka, India

Malaria Journal ◽

10.1186/s12936-019-3080-8 ◽

2019 ◽

Vol 18 (1) ◽

Cited By ~ 2

Author(s):

B. Shantharam Baliga ◽

Animesh Jain ◽

Naren Koduvattat ◽

B. G. Prakash Kumar ◽

Manu Kumar ◽

...

Keyword(s):

Information System ◽

Geographic Information System ◽

Mobile Apps ◽

Delayed Diagnosis ◽

Secondary Data ◽

Parasite Clearance ◽

Geographic Information ◽

Control Measures ◽

Malaria Surveillance ◽

Vector Measures

Abstract Background Under-reporting, delayed diagnosis, incomplete treatment and inadequate vector management are few among many factors responsible for uninterrupted transmission of malaria in India. Information technology (IT) and mobile apps can be utilized effectively to overcome these hurdles. Indigenously developed digital handheld geographic information system (GIS)-tagged Android-based tablets (TABs) has been designed especially for implementation of digitization protocol. This has changed the effectiveness of malaria surveillance and intervention strategies in a malaria endemic area of Mangaluru city, Karnataka, India. Methods A software was developed and implemented for control measures to create a digital database of each malaria case. Secondary data analyses were carried out to determine and compare differences in malariometric indices between pre- and post-digitization years. With the introduction of this software active surveillance, information education and communication (IEC), and anti-vector measures were made ‘incidence-centric’. This means that the entire control measures were carried out in the houses where the malaria cases (index cases) were reported and also in surrounding houses. Results Annual blood examination rate (ABER) increased from 13.82 to 32.8%. Prompt reporting of new cases had improved (36% within 24 h and 80% within 72 h). Complete treatment and parasite clearance time were documented in 98% of cases. In the second post-digitization year untraceable cases reduced from 11.3 to 2.7%; contact blood smears collection also increased significantly (p < 0.001); Slide Positivity Rate (SPR) decreased from 15.5 to 10.48%; malaria cases reduced by 30%. Conclusions IT is very useful in translation of digitized surveillance to core interventions thereby effectively reduce incidence of malaria. This technology can be used effectively to translate smart surveillance to core interventions following the ‘1-3-7-14’ strategy.

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Analysis of Landslide Hazards Area Using Geographic Information System in Gayo Lues District

International Journal of Multicultural and Multireligious Understanding ◽

10.18415/ijmmu.v6i3.807 ◽

2019 ◽

Vol 6 (3) ◽

pp. 193

Author(s):

Sukrizal Sukrizal ◽

Eldina Fatimah ◽

Nizamuddin Nizamuddin

Keyword(s):

Information System ◽

Geographic Information System ◽

Spatial Pattern ◽

Secondary Data ◽

Geographic Information ◽

Trigger Factors ◽

Dominant Type ◽

Cause Analysis ◽

Landslide Hazards

Given the landslide hazards in Gayo Lues Regency are scattered in all sub-districts with various characteristics that influence them, and various parameters that make the vulnerability of landslides increasingly high, and have an impact on the socio-economic and spatial pattern of the district. The research objective is to identify and map the characteristics of landslides, the level of vulnerability. The data of this study are primary and secondary data at the landslide point. The results showed that the dominant type of landslide occurred was the flow of ragged material, rotation and translation with a cause analysis in the form of trigger factors and controllers and the occurrence of landslide repetition in several areas with the result of identifying the characteristics of the threat of landslides.

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KONSENTRASI DAERAH PERHOTELAN DI KAWASAN DANAU TOBA

Convergence: The Journal of Economic Development ◽

10.33369/convergence-jep.v2i1.11508 ◽

2020 ◽

Vol 2 (1) ◽

pp. 36-53

Author(s):

Syahrial Syahrial ◽

Lincolin Arsyad

Keyword(s):

Information System ◽

Geographic Information System ◽

System Analysis ◽

Geographic Information ◽

Modern World ◽

Lake Region ◽

Geographic Information System Analysis ◽

System 1 ◽

North Sumatra

In today's modern world, the number of hotels and other accommodations is increasing in Indonesia in general and in the province of North Sumatra in particular. The same situation also occurs in the Toba lake region which covers seven districts surrounding Toba lake with a number of hotels that vary in each district. This study aims to analyze the possibility of classification of the hospitality area concentration in the Toba lake region and analyze the shift in the classification of the hospitality area concentration in the Toba lake region. Panel data used will be analyzed using the method of classification analysis of the hospitality area concentration in the Toba lake region. Then it will be assisted by geographic information system analysis as a visualization tool for maps of hospitality areas in the Toba lake region. This research shows that the Toba lake region consists of two classifications, namely: the classification of the main area of hospitality that cover three district and tthe non-concentration classification of hospitality areas that includes four districts. During the study period, the shift in the classification of the hospitality area concentration were not found in the Toba lake region. Keywords : Geographic Information System 1, Hospitality Area Concentration 2

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APPLICATION DESIGN GEOGRAPHIC INFORMATION SYSTEM OF FLOOD LOADING MAPPING IN TULUNGAGUNG REGENCY REGION

JOSAR (Journal of Students Academic Research) ◽

10.35457/josar.v1i01.625 ◽

2018 ◽

Vol 3 (1) ◽

pp. 139-154

Author(s):

Mohammad Panji Romadhoni

Keyword(s):

Information System ◽

Geographic Information System ◽

Flood Hazard ◽

Secondary Data ◽

Geographic Information ◽

Primary Data ◽

Analysis Tool ◽

Contributing Factors ◽

Map Data ◽

Flood Prone Areas

Tulungagung Regency has a history of experiencing floods, which damaged infrastructure and claimed lives in Tulungagung Regency due to the lack of facilities, knowledge and initial handling of flood disasters to be one of the contributing factors. This study uses primary data and secondary data in the form of slope data, soil type and rainfall. The results of the analysis obtained the level of flood vulnerability in the Tulungagung district area resulting in three levels of classes, namely vulnerability is very vulnerable, vulnerable, and not vulnerable. Making the system using ArcMap PHP web programming and using the MySQL database offline. To process map data used GIS tools (geographic information system), namely the spatial analysis tool of flood hazard level with a visual mapping model. The results of this study are expected to be useful in providing information on flood-prone areas in Tulungagung Regency and it is hoped that the Tulungagung Regency government and the private sector will routinely conduct disaster socialization, especially for communities in flood-prone areas.

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Short Communication: Use of Geographic Information System for mapping of Aquilaria malaccensis land suitability in North Sumatra, Indonesia

Biodiversitas Journal of Biological Diversity ◽

10.13057/biodiv/d200918 ◽

2019 ◽

Vol 20 (9) ◽

Cited By ~ 4

Author(s):

RAHMAWATY RAHMAWATY ◽

SINTIKE FRASTIKA ◽

RUTH MARIA ELTIANA MARPAUNG ◽

RIDWANTI BATUBARA ◽

ABDUL RAUF

Keyword(s):

Information System ◽

Geographic Information System ◽

Short Communication ◽

Geographic Information ◽

Land Suitability ◽

Land Evaluation ◽

Limiting Factors ◽

Survey Method ◽

Aquilaria Malaccensis ◽

North Sumatra

Abstract. Rahmawaty, Frastika S, Marpaung RME, Batubara R, Rauf A. 2019. Short Communication: Use of Geographic Information System for mapping of Aquilaria malaccensis land suitability in North Sumatra, Indonesia. Biodiversitas 20: 2561-2568. The Geographic Information System (GIS) can be applicated in the field of forestry and agriculture, such as for mapping as part of land evaluation. The land suitability of Aquilaria malaccensis in the agroforestry land of North Sumatra Province is important. Commonly, A. malaccensis were planted by the community in Langkat and Deli Serdang District. This study aimed to map the land suitability for A. malaccensis in Telaga Village, Sei Bingai Sub District, Langkat District, Peria-ria Village and Sari Laba Jahe Village, Biru-biru Sub District, Deli Serdang District. A survey method was used to collect soil samples in the field. Land suitability classification (LSC) for A. malaccensis was evaluated based on the matching method. The results showed that the actual land suitability classes for A. malaccensis in Telaga Village were moderately suitable (S2) and marginally suitable (S3). The actual land suitability classes for A. malaccensis in Peria-ria Village and Sari Laba Jahe Village were moderately suitable (S2), marginally suitable (S3) and not suitable (N). There were several limiting factors in land suitability evaluation in the area, namely: nutrient retention (nr), erosion hazard (eh), and root zone medium (rc).

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Sistem Informasi Geografis Penyebaran Pasien Narkoba

Respati ◽

10.35842/jtir.v14i2.292 ◽

2019 ◽

Vol 14 (2) ◽

Author(s):

Nur Widjiyati ◽

Ema Utami ◽

Eko Pramono

Keyword(s):

Information System ◽

Geographic Information System ◽

Spatial Data ◽

Drug Users ◽

Geographic Information ◽

Testing System ◽

System Matrix ◽

Number Of Patients ◽

North Sumatra ◽

Map Visualization

INTISARISistem Informasi Geografis (SIG) adalah Sistem Informasi yang berdasar pada data keruangan dan merepresentasikan obyek di bumi [6]. Dalam SIG sendiri teknologi informasi merupakan perangkat yang membantu dalam menyimpan data, memproses data, menganalisa data, mengelola data dan menyajikan informasi [2]. SIG merupakan sistem yang terkomputerisasi yang menolong dalam me-maintain data tentang lingkungan dalam bidang geografis.Narkoba (singkatan dari Narkotika, Psikotropika dan Bahan Adiktif berbahaya lainnya) adalah bahan/zat yang jika dimasukan dalam tubuh manusia, baik secara oral/diminum, dihirup, maupun disuntikan, dapat mengubah pikiran, suasana hati atau perasaan, dan perilaku seseorang. Narkoba dapat menimbulkan ketergantungan (adiksi) fisik dan psikologis.Saat ini pengguna narkoba meningkat sangat pesat, peredaran nya yang sampai ke pelosok-pelosok daerah, sangat meresahkan seluruh lapisan masyarakat, maka pada penelitian ini di harapkan dapat melihat dan mengetahui daerah mana saja di Sumatra Utara yang memiliki tingkat pengguna Narkoba tertinggi, dan bisa dilihat dari hasil visualisasi peta yang dikerjakan menggunakan ArGIS 10.2 Untuk keakuratan peta sebaran Narkoba, penelitian ini di uji testing system menggunakan Metode Matrix Error. Tujuan dari penelitian ini untuk memetakan sebaran narkoba dengan Sistem Informasi Geografis (SIG) yang menghasilkan laporan rancangan system berbentuk dokumen, menghasilkan data visualisasi peta. Dan dari penelitian ini dapat memberikan informasi yang baik mengenai jumlah pasien narkoba di wilayah Sumatra Utara, agar nantinya Badan Narkotika Nasional (BNN) dalam melakukan penyuluhan tidak salah sasaran. Kata Kunci : Sistem Informasi Geografis, Narkoba, Metode Matrix Error ABSTRACTGeographic Information Systems (GIS) is an information system based on spatial data and represent objects on eart [6]. SIG itself in information technology is a tool which helps in storing the data, process the data, analyze the data, managing data and presenting information [2]. GIS is a computerized system that helps me maintain the data about the environment in the field of geography.Drugs (abbreviation of Narcotics, Psychotropic and Addictive other hazardous materials) are materials / substances which when administered in the human body, either orally / drunk, inhaled, or injected, can change his mind, mood or feeling, and behavior. Drugs can cause dependence (addiction) physical and psychological.Currently the drug users is rapidly increasing, the circulation of its up to the outposts area, devastating the whole society, so in this study is expected to see and know which areas in North Sumatra that have high levels of drug users is highest, and can be seen map visualization of results is done using ARGIS 10.2 for the most accurate map of the distribution of drugs, this study tested using the testing system Matrix Error method.The purpose of this study to map the distribution of drugs in a Geographic Information System (GIS) that generates a report form system design documents, generate data map visualization. And from this study can provide good information about the number of patients the drug in North Sumatra region, so that later the National Narcotics Agency in conducting counseling is not misplaced.Key Word : Geographic Information System, Drugs, Matrix Error Method

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Diversity and distribution of medicinal plants in the Universitas Sumatera Utara Arboretum of Deli Serdang, North Sumatra, Indonesia

Biodiversitas Journal of Biological Diversity ◽

10.13057/biodiv/d200539 ◽

2019 ◽

Vol 20 (5) ◽

Cited By ~ 4

Author(s):

RAHMAWATY RAHMAWATY ◽

J B SAMOSIR ◽

R BATUBARA ◽

A RAUF

Keyword(s):

Information System ◽

Geographic Information System ◽

Species Diversity ◽

Medicinal Plants ◽

Local Community ◽

Wiener Index ◽

Geographic Information ◽

Medicinal Species ◽

Interview Methods ◽

North Sumatra

Abstract. Rahmawaty, Samosir JB, Batubara R, Rauf A. 2019. Diversity and distribution of medicinal plants in the Universitas Sumatera Utara Arboretum of Deli Serdang, North Sumatra, Indonesia. Biodiversitas 20: 1457-1465. The plants found in Universitas Sumatera Utara (USU) Arboretum has the potential to be utilized by the local community to meet their food and medicinal needs. The objectives of this study were to calculate the species diversity, to find out the various parts of plants utilized for medicinal purposes and to map the distribution of medicinal plants in the arboretum. Survey and interview methods were used to collect data. The species diversity was determined using Shannon-Wiener index. Geographic Information System (GIS) was used to map the distribution of medicinal plants. The results showed that there were 17 species of medicinal herbs, 21 species of trees and 12 species of poles in the arboretum. The diversity was classified as moderate based on the calculated value. The most predominant part of plants utilized for medicinal purposes were leaves. The distribution of medicinal plants was mostly clustered and uneven. The condition indicates still there is scope for additional planting of medicinal species to increase the diversity of species, especially in the western and the northern part of the arboretum.

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