Analisa Algoritma Haversine Formula Untuk Pencarian Lokasi Terdekat Rumah Sakit Dan Puskesmas Provinsi Gorontalo

Farid, Farid; Yunus, Yulanda

doi:10.33096/ilkom.v9i3.178.353-355

Cited by 10 publications

(10 citation statements)

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“…The Haversein formula is an important equation in navigation, giving a large circular distance between 2 points on the surface of the ball (Earth) based on longitude and latitude [4]. 𝐷 = acos (𝑠𝑖𝑛(𝑙𝑎𝑡1) * 𝑠𝑖𝑛(𝑙𝑎𝑡2) + 𝑐𝑜𝑠(𝑙𝑎𝑡1) * 𝑐𝑜𝑠(𝑙𝑎𝑡2) * 𝑐𝑜𝑠(𝑙𝑜𝑛𝑔2 − 𝑙𝑜𝑛𝑔1)) * 𝑅…”

Section: Haversein Formulamentioning

confidence: 99%

Application of Recommendations for Diagnosis of Diseases in the Field of Hematology and Oncology With Forward Chaining Algorithm

Filetus

Raymond

Octavia

et al. 2021

ccitj

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The COVID-19 pandemic has made many changes in everything, both from the industrial world and human habits. Illness is one of the things that cannot be postponed in its completion, so that people can consult a doctor to be able to recognize the disease suffered by the community In the past, consultations had to come to the hospital, nowadays there are innovations in the field of Information Technology that make it easier for people to consult. The expert system is one of the fastest growing innovations. The expert system is one of the fastest growing innovations. Forward chaining is one of the algorithms of an expert system to get a conclusion through existing facts / data based on predetermined rules. Forward chaining can provide good disease conclusions with a 100% percentage of 30 diseases and 15 test cases. However, a diagnosis based on symptoms according to doctors only has a confidence level of 50-60%. So other assessment factors are needed to increase the percentage of these beliefs such as gender, age, medical history, supporting examinations, and others.

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Section: Haversein Formulamentioning

confidence: 99%

Application of Recommendations for Diagnosis of Diseases in the Field of Hematology and Oncology With Forward Chaining Algorithm

Filetus

Raymond

Octavia

et al. 2021

ccitj

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“…Haversine formula adalah metode perhitungan jarak antara dua titik di bumi berdasarkan panjang garis lurus antara dua titik tanpa mengabaikan kelengkungan bumi (Farid & Yunus, 2017). Berikut adalah persamaan haversine formula:…”

Section: Haversine Formulaunclassified

Perbandingan Metode Perhitungan Jarak Euclidean, Haversine, Dan Manhattan Dalam Penentuan Posisi Karyawan

Miftahuddin

Umaroh

Karim

2020

JTI

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Abstrak - Kinerja karyawan merupakan hal yang diperhatikan di dalam instansi. Institut Teknologi Nasional Bandung merupakan salah satu instansi dengan jumlah karyawan yang banyak, sehingga sulit dilakukan pemantauan keberadaan seluruh karyawan. Salah satu alternatif dalam mengatasi masalah tersebut adalah pembuatan sistem untuk memantau lokasi keberadaan karyawan dengan memanfaatkan smartphone untuk pengambilan titik koordinat. Pada era modern ini smartphone merupakan barang yang hampir tidak pernah ditinggalkan. Dengan memanfaatkan titik koordinat, perhitungan jarak dapat dihitung dengan menggunakan 3 metode yaitu euclidean, manhattan, dan haversine. Dari pengujian yang telah dilakukan, rata-rata waktu yang diperlukan untuk proses pengiriman koordinat dari smartphone ke database sistem adalah 0,9 detik. Selain itu, penelitian ini bertujuan untuk membandingkan ketiga metode berdasarkan keakurasian dan waktu. Perbandingan tingkat keakurasian dilakukan dengan membandingkan persentase error hasil perhitungan jarak dengan pengukuran secara manual menggunakan pita ukur. Hasil akhir dari pengujian tiga metode tersebut diperoleh bahwa metode perhitungan Manhattan membutuhkan waktu pengolahan data yang paling cepat dalam pengujian 100 data yaitu 0,00034045 detik. Metode perhitungan Haversine menghasilkan akurasi perhitungan jarak teringgi yaitu 98,66%. Dan metode perhitungan Haversine menghasilkan akurasi keputusan tertinggi dalam menentukan keputusan lokasi keberadaan karyawan yaitu 90%. Hasil penelitian ini dapat digunakan sebagai pertimbangan pemilihan metode perhitungan jarak bagi para peneliti. Abstract - Employee performance is a matter of concern within the agency. The Bandung National Institute of Technology is one institution with a large number of employees, making it difficult to monitor the whereabouts of all employees. One alternative in overcoming the problem is the creation of a system to monitor the location of employees by utilizing smartphones to capture coordinates. In this modern era smartphone is an item that is almost never left. By utilizing coordinate points, distance calculation can be calculated using 3 methods namely euclidean, manhattan, and haversine. From the tests that have been done, the average time required for the sending of coordinates from the smartphone to the system database is 0.9 seconds. In addition, this study aims to compare the three methods based on accuracy and time. Comparison of the level of accuracy is done by comparing the percentage of error calculation results with the distance measurement manually using a measuring tape. The final results of the three methods test was obtained that the Manhattan calculation method requires the fastest data processing time in testing 100 data that is 0,00034045 seconds. The Haversine calculation method produces the highest distance calculation accuracy which is 98.66%. And the Haversine calculation method produces the highest decision accuracy in determining the location of the employee's decision that is 90%. The results of this study can be used as consideration for the selection of distance calculation methods for researchers.

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“…Berdasarkan percobaan pada tabel 3, beberapa aktifitas jatuh seperti jatuh terlentang dan jatuh tengkurap 90% dapat dideteksi oleh sistem sebagai aktifitas jatuh dengan tingkat akurasi 90%. [22]. Metode ini adalah persamaan untuk penggunaan navigasi agar dapat menghitung jarak antar koordinat pada system proyeksi geografis Derajat Desimanl (DD°).…”

Section: Perancangan Sistemunclassified

Alat Deteksi Jatuh Berbiaya Murah Dengan Tracking Position Untuk Pasien Vertigo dan Sinkop

Yulastri

Madona

Irmansyah

et al. 2020

RESTI

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In this study we propose a low-cost portable device to monitor the vertigo and syncope patients whether normal, dizziness or falls. The purpose of this study is design and manufactures a device using an accelerometer sensor to determining the condition of patients who are at risk of vertigo and syncope. The patient's condition is detected by accelerometer which read the values of the x, y and z axes to determine condition normal, dizzy, or fall. This device also uses a real time clock to remind the patient to take medication three times a day. The device outputs are LCD Oled, Voice, and SMS notification. If the patient condition is falls an SMS notification will be sent, the dizzy condition vertigo patient will press the panic button first and then an SMS notification will be sent. The results of tests carried out on the equipment can send SMS and phone calls at an angle of (50o - 70o) = Y (40o - 20o) = X, in a fainting state and falling. The test results of the navigation module prove that the GPS module can determine the exact location by moving the GPS module reading position to a small test point with an average of 2.97 meters.

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Analisa Algoritma Haversine Formula Untuk Pencarian Lokasi Terdekat Rumah Sakit Dan Puskesmas Provinsi Gorontalo

Cited by 10 publications

References 0 publications

Application of Recommendations for Diagnosis of Diseases in the Field of Hematology and Oncology With Forward Chaining Algorithm

Application of Recommendations for Diagnosis of Diseases in the Field of Hematology and Oncology With Forward Chaining Algorithm

Perbandingan Metode Perhitungan Jarak Euclidean, Haversine, Dan Manhattan Dalam Penentuan Posisi Karyawan

Alat Deteksi Jatuh Berbiaya Murah Dengan Tracking Position Untuk Pasien Vertigo dan Sinkop

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