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INDONESIA
Journal of Information System, Applied, Management, Accounting and Research
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta
ISSN : 25988700     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
JISIMAR (Journal of Information System, Applied, Management, Accounting and Research), terbit empat kali setahun pada bulan Februari, Mei, Agustus dan November, memuat naskah hasil pemikiran dan hasil penelitian di bidang Teknologi Informasi, Sistem Informasi, Sistem Informasi Manajemen, Sistem Informasi Akuntansi, Ilmu Manajemen dan Manajemen Terapan, Manajemen Sumber Daya, Sistem Manajemen Enterprise, Akuntansi.
Arjuna Subject : -
Articles 24 Documents
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Search results for , issue "Vol 6 No 1 (2022): JISAMAR: February 2022" : 24 Documents clear
Implementasi Algoritma Dijkstra dalam penentuan rute terdekat menuju Masjid di Perumahan Bona Indah Lebak Bulus Achmad Fatkharrofiqi; Windu Gata
Journal of Information System, Applied, Management, Accounting and Research Vol 6 No 1 (2022): JISAMAR: February 2022
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v6i1.674

Abstract

Penerapan kecerdasan buatan (Artificial Intelligence) untuk pemecahan masalah (problem solving) dalam bidang ilmu komputer telah mengalami perkembangan yang pesat dari tahun ke tahun seiring perkembangan kecerdasan buatan itu sendiri. Permasalahan yang melibatkan pencarian (searching) adalah salah satu contoh penggunaan kecerdasan buatan yang cukup popular untuk memecahkan berbagai macam permasalahan. Dalam aktifitas sehari-hari, penggunaan jalan selalu menjadi aktifitas yang tidak dapat dihindari, sehingga penentuan lintasan terpendek dari satu titik ke titik yang lain menjadi masalah yang sering ditemui. Hal ini pula dirasakan oleh warga yang tinggal dalam sebuah perumahan yang cukup luas. Terkadang untuk dapat mencapai tempat yang dituju sering kali bingung dalam menentukan jalan mana yang harus dilalui untuk mendapatkan jarak terpendek sampai ke tujuan. Perumahan Bona Indah merupakan kawasan perumahan di wilayah Kecamatan Cilandak, Kota Jakarta Selatan, di dalam perumahan terdapat sebuah masjid yang berlokasi di sisi pojok selatan perumahan Bona Indah. Banyaknya jumlah blok menimbulkan permasalahan mengenai rute terpendek yang dapat ditempuh oleh warga untuk menuju masjid. Maka, tujuan penelitian ini adalah untuk menentukan jalur terpendek yang ditempuh warga untuk sampai ke masjid. Metode yang digunakan adalah dengan menerapkan Algoritma Djikstra yang mampu menghasilkan rute terpendek bagi warga untuk menuju ke masjid.
The tidal station management application (PAS) Mundirin Mundirin; Joko Prasetiana
Journal of Information System, Applied, Management, Accounting and Research Vol 6 No 1 (2022): JISAMAR: February 2022
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v6i1.696

Abstract

The development of a geospatial information system is very necessary in providing basic data to be used as a single reference in national development planning and disaster management such as InaTEWS (Indonesia Tsunami Early Warning System. Tide Gauge Stations or Indonesia Tide Gauges (InaTides) is a collection of tide stations that produce data and managed by the Geospatial Information Agency (BIG), formerly known as Bakosurtanal. In 2019, 138 tidal stations were built, but they are still recorded manually in the form of maintenance during high tide. This is an obstacle in finding problems that arise in tidal operations. Therefore, to realize the availability of an ideal data series, a more structured, systematic and efficient management of tidal stations is needed. Use the PHP and MySql programming languages ​​in managing the database. With this application, it is expected to be a solution tidal management becomes more structured, systematic, efficient which is well documented.
Implementation of Information Technology and Job Flexibility on Driver Performance Through Job Satisfaction as an Intervening Variable for Gojek (Go-Ride) Partners in Bukittinggi City Ai Elis Karlinda; Silvia Sari
Journal of Information System, Applied, Management, Accounting and Research Vol 6 No 1 (2022): JISAMAR: February 2022
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v6i1.679

Abstract

This study aims to determine the effect of the implementation of information technology and job flexibility on driver performance through job satisfaction as an intervening variable for gojek (go-ride) partners in Bukittinggi City. This study uses secondary data. The sampling technique in this study was using the slovin formula. The number of samples obtained as many as 90 respondents. The analytical method of this research uses multiple linear regression analysis and path analysis. From this study it was concluded that the implementation of information technology had a significant positive effect on job satisfaction, job flexibility had a significant positive effect on job satisfaction, information technology had a significant positive effect on driver performance, job flexibility had a significant positive effect on driver performance, job satisfaction had a positive and significant effect on driver performance. driver performance, information technology implementation has a significant positive effect on driver performance intervened by job satisfaction, job flexibility has a significant positive effect on driver performance intervened by job satisfaction.
Implementasi artificial neural network dalam mendeteksi penyakit hati (liver) Irmawati Irmawati; Kudiantoro Widianto; Faruq Aziz; Achmad Rifai; Ami Rahmawati
Journal of Information System, Applied, Management, Accounting and Research Vol 6 No 1 (2022): JISAMAR: February 2022
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v6i1.694

Abstract

Acute liver disease can affect liver function, but can identify the patient's clinical and physical symptoms. One of the problems faced by society today is the delay in treatment of liver disease patients, most patients do not carry out self-examination until an advanced stage is found. To overcome this problem, we need a system that can determine whether a person is a patient with liver disease, so that they can carry out routine checks as soon as possible and allow liver disease patients to get timely treatment. The system can generate classification with the help of data mining algorithms. In this paper, Liver Patients have been investigated using an Artificial Neural Network model to predict a Liver Patient or not and analysis using ANN with Python was used to determine the effect of input variables based on data in the literature and obtained an accuracy of 74%.

Page 3 of 3 | Total Record : 24

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