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All Journal Jurnal Media Infotama INFOKUM Al-MIKRAJ: Jurnal studi Islam dan Humaniora
Bonie Empy Giri
Program Studi Teknologi Informasi, Universitas Citra Bangsa, Kupang
Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : Al-MIKRAJ: Jurnal studi Islam dan Humaniora

 1 
Pengembangan Business Intellegence Pada Informasi Keselamatan Lalu Lintas; Studi Kasus Rencana Pembentukan Forum LLAJ Kota Kupang Giri, Bonie Empy
AL-MIKRAJ Jurnal Studi Islam dan Humaniora (E-ISSN 2745-4584) Vol 5 No 01 (2024): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v5i01.6345

Abstract

Penelitian ini dilakukan sehubungan dengan akan dibentuknya forum LLAJ pada pemerintah Kota Kupang sebagai wadah lintas sektoral dalam penanganan masalah keselamatan transportasi darat, dengan metode sistim informasi dengan bantuan aplikasi bussiness intelegence diharapkan mampu menjadi sumber data yang akurat untuk dipakai sebagai bahan pengambilan keputusan yang lebih cepat dan tepat dalam menangani suatu kejadian kecelakaan. Dengan Bussiness Intelegence juga masyarakat dapat mengakses setiap informasi kecelakaan yang ada termasuk penyebab kecelakaan serta kerugian yang ditimbulkan oleh suatu kejadian kecelakaan. Dengan penelitian ini diketahui dibutuhkan 3 (tiga) server dengan 1 (satu) server induk untuk menjalankan sistim informasi dengan aplikasi bussiness intelegence. Selain itu dengan bussiness intelegence maka keakuratan data kecelakaan akan diperoleh dengan mudah dan tidak terjadi tumpang tindih data kecelakaan.
Aplikasi Layanan Darurat Kepolisian Berbasis Iot Menggunakan Metode Haversine Giri, Bonie Empy
AL-MIKRAJ Jurnal Studi Islam dan Humaniora (E-ISSN 2745-4584) Vol 5 No 2 (2025): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v5i2.6974

Abstract

In recent years, technological developments have opened up new opportunities to improve the effectiveness of emergency police services. One technology that has taken center stage is the Internet of Things (IoT). IoT allows physical objects around us to connect and communicate with each other, opening up opportunities to create smart solutions in various fields, including emergency services. In this context, the Haversine method becomes relevant due to its ability to calculate the distance between two geographic coordinate points by considering the curvature of the earth's surface. The problem often encountered is the slow response and inaccuracy in determining the location of emergency events, especially in complex or remote areas often increasing the risk of public safety. The goal is to measure the effectiveness of the application in improving the speed and accuracy of response to emergency situations. This study uses a quantitative research design to develop and evaluate an IoT-based police emergency service application using the Haversine method. Based on the survey, the most widely used social media by internet users in Indonesia aged 16-64 years is WhatsApp (90.9%), followed by Instagram (85.3%), Facebook (81.6%), TikTok (73.5%). The results of manual calculations show the same results as the results of the closest distance search conducted by the application, namely that the location of the nearest police post/police to Citra Bangsa University is Kupang City Police Station.
Pengembangan Business Intellegence Pada Informasi Keselamatan Lalu Lintas; Studi Kasus Rencana Pembentukan Forum LLAJ Kota Kupang Giri, Bonie Empy
AL-MIKRAJ Jurnal Studi Islam dan Humaniora Vol. 5 No. 01 (2024): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v5i01.6345

Abstract

Penelitian ini dilakukan sehubungan dengan akan dibentuknya forum LLAJ pada pemerintah Kota Kupang sebagai wadah lintas sektoral dalam penanganan masalah keselamatan transportasi darat, dengan metode sistim informasi dengan bantuan aplikasi bussiness intelegence diharapkan mampu menjadi sumber data yang akurat untuk dipakai sebagai bahan pengambilan keputusan yang lebih cepat dan tepat dalam menangani suatu kejadian kecelakaan. Dengan Bussiness Intelegence juga masyarakat dapat mengakses setiap informasi kecelakaan yang ada termasuk penyebab kecelakaan serta kerugian yang ditimbulkan oleh suatu kejadian kecelakaan. Dengan penelitian ini diketahui dibutuhkan 3 (tiga) server dengan 1 (satu) server induk untuk menjalankan sistim informasi dengan aplikasi bussiness intelegence. Selain itu dengan bussiness intelegence maka keakuratan data kecelakaan akan diperoleh dengan mudah dan tidak terjadi tumpang tindih data kecelakaan.
Aplikasi Layanan Darurat Kepolisian Berbasis Iot Menggunakan Metode Haversine Giri, Bonie Empy
AL-MIKRAJ Jurnal Studi Islam dan Humaniora Vol. 5 No. 2 (2025): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v5i2.6974

Abstract

In recent years, technological developments have opened up new opportunities to improve the effectiveness of emergency police services. One technology that has taken center stage is the Internet of Things (IoT). IoT allows physical objects around us to connect and communicate with each other, opening up opportunities to create smart solutions in various fields, including emergency services. In this context, the Haversine method becomes relevant due to its ability to calculate the distance between two geographic coordinate points by considering the curvature of the earth's surface. The problem often encountered is the slow response and inaccuracy in determining the location of emergency events, especially in complex or remote areas often increasing the risk of public safety. The goal is to measure the effectiveness of the application in improving the speed and accuracy of response to emergency situations. This study uses a quantitative research design to develop and evaluate an IoT-based police emergency service application using the Haversine method. Based on the survey, the most widely used social media by internet users in Indonesia aged 16-64 years is WhatsApp (90.9%), followed by Instagram (85.3%), Facebook (81.6%), TikTok (73.5%). The results of manual calculations show the same results as the results of the closest distance search conducted by the application, namely that the location of the nearest police post/police to Citra Bangsa University is Kupang City Police Station.
Co-Authors Bansoma, Meinahen Budi Kelin, Selus Paru Soares, Vasio Sarmento