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APLIKASI PENCARIAN KANTOR POLISI MENGGUNAKAN METODE DIJKSTRA BERBASIS MOBILE COMPUTING alim hardiansyah; darmin darmin; Ravie Kurnia Laday
Jurnal Informatika Vol 3, No 2 (2019): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (972.268 KB) | DOI: 10.31000/jika.v3i2.2027

Abstract

Kota Tangerang merupakan salah satu kota yang berbatasan langsung dengan kota Jakarta. Kota ini mempunyai beberapa permasalahan salah satunya dalam hal tindak kejahatan yang terus naik setiap tahunnya. Tindak kejahatan di kota tangerang pada tahun 2018 telah terjadi sebanyak 6.211 kasus dengan crime clock 2 jam 20 menit 15 detik. Disamping itu kota ini juga minim petunjuk lokasi kantor polisi yang membuat kesan bahwa pencarian letak kantor polisi cukup sulit. Sistem informasi mengenai letak kantor polisi dengan menggunakan algoritma Dijkstra didalamnya dibutuhkan untuk membantu masyarakat dalam menentukan lokasi kantor polisi yang terdekat dari tempat mereka berada, sehingga didapat jarak terpendek. Metode pengembangan sistem menggunakan metode Spiral yang terdiri dari perencanaan, analisis resiko, produk rekayasa dan evaluasi pelanggan. Sistem ini dibangun dengan bahasa pemprograman Java dan XML. Rancangan aplikasi ini menggunakan UML. Sistem ini telah diuji dengan metode blackbox serta dengan pendekatan usability dan berhasil memberikan aplikasi tentang sistem informasi jarak terpendek dan informasi prosedur SKCK sesuai kebutuhan pengguna.
Designing Android Based Augmented Reality Location-Based Service Application Alim Hardiansyah
JOIN (Jurnal Online Informatika) Vol 2 No 2 (2017)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v2i2.115

Abstract

Android is an operating system for Linux based smartphone. Android provides an open platform for the developers to create their own application. The most developed and used application now is location based application. This application gives personalization service for mobile device user and is customized to their location. Location based service also gives an opportunity for the developers to develop and increase the value of service. One of the technologies that could be combined with location based application is augmented reality. Augmented reality combines the virtual world with the real one. By the assistance of augmented reality, our surrounding environment could interact in digital form. Information of objects and environment surround us could be added to the augmented reality system and presented. Based on the background, the writers tried to implement those technologies on now rapidly developing android application as a final project to achieve bachelor degree in Department of Informatics Engineering, Faculty of Information Technology and Visual Communication, Al Kamal Science and Technology Institute. This application could be functioned to locate school by using location based service technology with the assistance of navigational applications such as waze and google maps, in form of live direction process through the smartphone
The Design of Population Data Application Using Unified Modeling Language Alim Hardiansyah; Ravie Kurnia Laday; Muhammad Suhaeli
JOIN (Jurnal Online Informatika) Vol 3 No 2 (2018)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v3i2.227

Abstract

Population data collection at the sub-district level still uses a manual system. It is causing less efficient time. In this study the application of population data is generated in the sub-district, using web applications and using the Unified Modeling Language design. With the above considerations, we need a system that can solve population data problems. With this application, it is expected that it will facilitate the processing of population data. This new application can accelerate the process of population registration with the help of human resources who can run it. Advice needed human resources that can run the application properly.
ANALISA PERBANDINGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DAN ANALYTICAL HIERARCHY PROCESS (AHP) UNTUK SISTEM PENUNJANG KEPUTUSAN MASYARAKAT MISKIN PADA DESA CILOTO Darmin; Rizki Maulana; Alim Hardiansyah
IONTech Journal Vol. 2 No. 1 (2021): Februari 2021
Publisher : Institut Sains dan Teknologi Al-Kamal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62702/ion.v2i1.34

Abstract

Abstrak Sistem Pendukung Keputusan merupakan sistem informasi interakif yang menyediakan informasi, pemodelan, dan manipulasi data dan untuk meningkatkan efektifitas yang memungkinkan pengambilan keputusan lebih objektif. Tim Penanggulangan Kemiskinan (TPK) Desa Ciloto dalam melaksanakan tugasnya untuk menyeleksi warga yang tergolong miskin, saat ini masih sangat kesulitan dalam mendistribusikan bantuan yang akan diberikan kepada warga yang membutuhkan karena masih menggunakan cara manual dan bersifat objektif. Penilaian tingkat kemiskinan yang bersifat objektif mengakibatkan penerima bantuan tidak tepat sasaran, sehingga membutuhkan suatu sistem informasi untuk mendukung pengambilan keputusan yang lebih objektif. Agar perhitungan dan pengolahan data lebih akurat, maka dilakukan perhitungan menggunakan perbandingan pada sebuah metode Simple Additive Weighting (SAW) dan Analytical Hierarchy Process (AHP). Dalam pengembangan sebuah sistem metodologi yang digunakan adalah System Development Life Cycle (SDLC) dan untuk perancangan aplikasi menggunakan UML (Unified Modelling Language). Setelah dilakukan pengujian terhadap sistem, maka metode Simple Additive Weighting (SAW) lebih efektif dalam menentukan penerimaan bantuan, sehingga dalam implementasi sistem diharapkan dapat membantu pihak desa dalam memperoleh informasi tingkat kemiskinan di desa tersebut, sehingga pemberian bantuan yang diberikan pemerintah bisa lebih tepat sasaran. Abstract Decision support systems are interactive information systems that provide information, modeling, and manipulation of data and to increase effectiveness that enables more objective decision making. The ciloto village poverty reduction team (TPK) in carrying out its task of selecting residents classified as poor, is currently still very difficult in distributing aid to be given to people in need because it still uses manual and objective methods. an objective assessment of poverty levels results in recipients of aid that are not on target, so that information systems are needed to support more objective decision making. To make the calculation and processing of data more accurate, the calculation is done by using a comparison on simple additive weighting (SAW) and the Analytical Hierarchy Process (AHP) method in developing the system methodology used is the System Life Cycle (SDLC) and for application design using UML (Unified Modeling Language) after testing the system, the Simple Additive Weighting (SAW) method is more effective in determining the receipt of assistance so that the implementation of the system is expected to help villages in obtaining information about poverty levels in the village, so that assistance provided by the government can be more targeted.
IMPLEMENTASI METODE TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION DALAM SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI WISATA PENDAKIAN GUNUNG BERBASIS WEB Alim Hardiansyah
IONTech Journal Vol. 2 No. 1 (2021): Februari 2021
Publisher : Institut Sains dan Teknologi Al-Kamal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62702/ion.v2i1.35

Abstract

Abstrak Mendaki gunung adalah salah satu kegiatan olahraga ekstrim yang saat ini digandrungi masyarakat. Pemilihan. Penelitian membuat Sistem pendukung keputusan berbasis komputer yang merekomendasikan pendaki untuk memilih tempat wisata pendakian menggunakan metode Technique for Order Preference by Similiry to Ideal Solution (TOPSIS). Tujuan dari penelitian ini adalah Merancang dan menerapkan bangun sistem pendukung keputusan pemilihan lokasi pendakian berdasarkan kriteria yang dipilih. sistem ini pengguna dapat mengetahui lokasi Pendakian. Sistem berhasil memberikan informasi lokasi Pendakian. Metode TOPSIS terbukti berhasil memberikan rekomendasi yang sesuai dengan kriteria yang dipilih. Abstract Mountain climbing is one of the extreme sports activities that are currently loved by the public. Election. Research makes a computer-based decision support system that recommends climbers to choose climbing tourist attractions using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method. The purpose of this study is to design and implement a decision support system for the selection of climbing locations based on the selected criteria. This system the user can know the location of the Ascent. The system successfully provides information on the Ascent location. The TOPSIS method is proven to be successful in providing recommendations by selected criteria.