Aplikasi Pemetaan Daerah Rawan Kriminalitas Di Manadi Berbasis Web

Kaseger, Marfel A.; Rindengan, Yaulie D.Y.; Lumenta, Arie S.M.

doi:10.35793/jti.13.2.2018.22485

Cited by 4 publications

(4 citation statements)

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“…Crime/criminality is not only the responsibility of the police but the responsibility of all levels of society, so that by mapping crime-prone areas it will be known where the crime occurred. Then the mapping of crime-prone areas with a systematic presentation will make it easier for us to monitor, avoid and prevent crime, and can also be used to predict crime in terms of the location and time when the crime usually occurs [9].…”

Section: Predictive Analysismentioning

confidence: 99%

Web-Based Information System Prediction of Vehicle Theft Vulnerability in Jayapura Using Regression Analysis

Wattimena,

Loly,

Manurung

2024

jitk

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Vehicle theft in Jayapura Regency is quite high and there is no application to assist the police in making estimates or predictions of the number of theft cases that will occur in the next year. In 2022, cases of theft in Jayapura district will start to increase. to make these predictions the authors designed and built a system that can predict the number of these cases in building this application the authors use the Regression Analysis method this process can help the police predict the number of cases in the coming year. The development method used is SDLC, linear regression analysis and using the PHP programming language, the database uses MYSQL, Sublime Text. This research was conducted because there was no system that could assist the staff of the Resort Police (Polres) of Jayapura Regency. From this research, a system for predicting the level of vulnerability to motorized vehicle theft has been successfully built at the Jayapura District Police with data processed for attendance data using face region, reporting data using barcodes, queue data using counters and digital archive data helping the police store important documents.

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Section: Predictive Analysismentioning

confidence: 99%

Web-Based Information System Prediction of Vehicle Theft Vulnerability in Jayapura Using Regression Analysis

Wattimena,

Loly,

Manurung

2024

jitk

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“…Kota Pekalogan adalah daerah rawan Narkoba dan termasuk 10 besar dalam penyalahgunaan narkoba untuk wilayah jawa tengah. Penyalahgunaan narkoba sangat berbahaya karena efek yang ditimbulkan menyebabkan ketergantungan, halusinasi dan beragam penyakit serta mempengaruhi Psikologi dan fisik [1], [2], [5]. Kejahatan narkoba biasanya terorganisir dengan baik dan para pelaku dan bandar biasanya tidak saling mengenal atau terputus sehingga bandar lolos dari jerat hukum [3].…”

Section: Pendahuluanunclassified

“…Studi literatur mengambil beberapa referensi yang memiliki kesesuian tema yaitu Kaseger [1]hasil penelitiannya berupa deteksi dan mitigasi daerah rawan narkoba, Andrianto [2] 325 mengasilkan SIG mitigasi titik kerawanan kasus narkoba di wilayah Poresta Solok. Dari hasil penelitian yang dilakukan dihasilkan gap penelitian sebelumnya terhadap fitur dan software yang digunakan, pada penelitian yang dilakukan Kaseger [1] software yang digunakan dengan PHP, CSS dan belum ada data kasus kriminalitas dari tahun sebelumnya, pada penelitian Andrianto [2] menggunakan PHP dan belum ada pengelompokan/klasterisasi kasus narkoba berdasarkan desa/kelurahan, kedua penelitian yang dilakukan untuk menggambarkan peta hanya menggunakan google maps sehingga dalam menentukan daerah rawan narkoba berdasarkan tingkat kerawanan belum dapat dilakukan.…”

Section: Pendahuluanunclassified

Mitigasi Sebaran Narkoba Melalui Sistem Informasi Geografis di Kota Pekalongan dengan Integrasi Global Mapper dan Google Earth

2020

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Sebaran dan tindak kejahatan narkoba di Wilayah Polres Kota Pekalongan sudah memprihatinkan dan sudah merambah berbagai profesi dan lintas generasi. Adapun sistem monitoring untuk pemetaannya masih menggunakan peta statis. Adapun masalah dalam penelitian yaitu belum adanya sistem informasi geografis pemetaan daerah rawan dan sebaran kasus narkoba berbasis web. Penelitian dilakukan dengan metode Research and Development, untuk mitigasi area sebaran narkoba menggunakan tools Global Mapper adapun Google Earth untuk melakukan proses geospasial. Dari hasil penelitian yang dilakukan dapat menghasilkan Aplikasi SIG Sebaran Narkoba yang mampu menampilkan daerah rawan dan sebaran kasus narkoba berdasarkan wilayah dan tahun kejadian serta fasailitas edukasi sehingga dapat menjadi referensi dan bahan kajian baik Polres Pekalongan Kota maupun Pemerintah kota Pekalongan tentang Narkoba. Abstract The distribution and acts of drug crimes in the Pekalongan City Police Area have been a concern and have penetrated various professions and across generations. The monitoring system for mapping still uses a static map. The problem in this research is the absence of a geographic information system for mapping vulnerable areas and the distribution of web-based drug cases. The research was conducted using the Research and Development method, to mitigate the area of drug distribution using the Global Mapper tools, while Google Earth to carry out the geospatial process. From the results of the research carried out, it can produce a GIS Application for the Distribution of Drugs that is able to display the vulnerable areas and distribution of drug cases by region and year of occurrence as well as educational facilities so that they can be a reference and study material for both the Pekalongan City Police and the Pekalongan City Government on Drugs.

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“…Based on the 2021 criminal statistics, there are 294,281 incidents of crime (total crime) in 2018 and a decrease of 269,324 incidents in 2019 and a decrease in 2020 to 247,218 incidents during the period 2018-2020. fluctuate. [1] There are areas that have the highest number of cases of several types of crimes committed in Indonesia originating from the Indonesian National Police where the highest crimes related to embezzlement are in the North Sumatra Police with 2,545 cases, corruption-related crimes are in the Java Police. East Nusa Tenggara as many as 47 incidents, the highest crime related to public order at the East Nusa Tenggara Police with 827 incidents, the highest crime related to fraud/cheating at the Metro Jaya Police with 3,303 incidents, crimes in the Riau Islands as many as 2,843 crimes ranked third.…”

Section: Introductionmentioning

confidence: 99%

Integrated Network System Security to Determine Gis (Geographic Information System) Based Cyber Crime Patterns

Sari

Jufri²

2022

JURTEKSI

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crime mapping, namely by examining various spatial data factors that can be integrated to be able to produce a variety of information for security officers and the government in an effort to realize security in an area by utilizing geographic information systems by mapping, visualizing and analyzing crime incidents so that Various patterns and trends of spatial and temporal crime are generated using the main concept of cryptography, namely the encryption or encryption process where the plaintext encoding process becomes ciphertext and the decryption or description process, which is the process of returning the ciphertext to the original plaintext using the Electronic Code Book (ECB) algorithm and the ECB algorithm vigenere Keywords: criminal patterns, geographic information systems, network system Abstrak: pemetaan kriminalitas yaitu dengan mengkaji berbagai macam faktor data spasial yang dapat terintegrasi untuk dapat menghasilkan keanekaragaman informasi bagi aparat keamanan dan pemerintah dalam upaya mewujudkan kemanan di suatu area dengan memanfaatkan sistem informasi geografis dengan cara dilakukan memetakan, memvisualkan dan menganalisis insiden kriminalitas sehingga dihasilkan beragam pola maupun trend kriminalitas secara spasial temporal dengan menggunakan konsep utama dari kriptografi yaitu proses enkripsi atau enkription dimana proses penyandian plainteks menjadi cipherteks dan proses dekripsi atau description yaitu proses mengembalikan cipherteks menjadi plainteks semula menggunakan algoritma Elektronic Code Book (ECB) dan algoritma Vigenere. Kata kunci: pola kriminalitas, sistem informasi geografis, sistem keamanan

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Aplikasi Pemetaan Daerah Rawan Kriminalitas Di Manadi Berbasis Web

Cited by 4 publications

References 0 publications

Web-Based Information System Prediction of Vehicle Theft Vulnerability in Jayapura Using Regression Analysis

Web-Based Information System Prediction of Vehicle Theft Vulnerability in Jayapura Using Regression Analysis

Mitigasi Sebaran Narkoba Melalui Sistem Informasi Geografis di Kota Pekalongan dengan Integrasi Global Mapper dan Google Earth

Integrated Network System Security to Determine Gis (Geographic Information System) Based Cyber Crime Patterns

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