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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Padjadjaran Journal of Dentistry Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL PENDIDIKAN TAMBUSAI MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Jurnal Kridatama Sains dan Teknologi Building of Informatics, Technology and Science JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Best Journal (Biology Education, Sains and Technology) JATI (Jurnal Mahasiswa Teknik Informatika) Abdi Masyarakat Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah At-Tarbawi : Jurnal Pendidikan, Sosial dan Kebudayaan Jurnal Pendidikan Kewarganegaraan PENGABDI: Jurnal Hasil Pengabdian Masyarakat El-Mujtama: Jurnal Pengabdian Masyarakat COMMUNITY : Jurnal Pengabdian Kepada Masyarakat Journal of Research in Social Science and Humanities Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan JOMLAI: Journal of Machine Learning and Artificial Intelligence LAVOISIER: Chemistry Education Journal Jurnal Keperawatan Journal of Law & Policy Review El-Mujtama: Jurnal Pengabdian Masyarakat LAVOISIER: Chemistry Education Journal Jurnal Visualika Journal of Economics Education Social Sciences Journal AL-ADABIYAH: Jurnal Pendidikan Agama Islam Desultanah: Journal Education and Social Science Omni Pengabdian Masyarakat

Fitri Anggraini, Fitri

Universitas Bandar Lampung

Author-ID : 535961

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Otomatisasi Pengukuran Tinggi Badan di Puskesmas Bane Pematangsiantar Menggunakan Sensor Ultrasonic Berbasis Arduino Uno Hutasoit, Fictor Marulitua; Sumarno, Sumarno; Anggraini, Fitri; Gunawan, Indra; Kirana, Ika Okta
Building of Informatics, Technology and Science (BITS) Vol 1 No 2 (2019): December 2019
Publisher : Forum Kerjasama Pendidikan Tinggi

Every health test certainly has a height measurement, so it can be measured how tall a person is, starting from the sole of the foot to the head, As in the Puskesmas Bane Pematangsiantar, as for the height measuring device used is still manual, using the meter and the measurement process at do by someone to measure the height of someone who wants to know his height so that the measurement results require more time when the number of people measured exceeds 20 people in other words the manual height gauge is less effective when used during the recruitment period of new employees begins. With these constraints the authors make a tool that can measure height automatically by utilizing the Ultrasonic sensor as a measuring tool and the Arduino Uno microcontroller as a control center by displaying the measurement results on a 16x2 LCD screen. In this result it is expected to replace the manual height measurement tool so that it helps the worker's activities in carrying out his noble duty to provide health services to the general public.

Penerapan Kombinasi Algoritma Sobel dan Canny (SoCan) dalam Identifikasi Citra Inversi Albatros Laysan Winanjaya, Riki; GS, Acmad Daengs; Anggraini, Fitri
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Utilizing an edge detection algorithm in an image will produce the edges of the image object. The aim is to mark the part that becomes the image's detail and correct the point of blurring of vision that occurs due to errors or the effects of the image acquisition process. This study aims to see the ability of the combination of Sobel and Canny edge detection algorithms (SoCan) to detect the inverted image. The image dataset used is the image of the Laysan Albatross, which consists of 10 original images and ten images that have been inverted based on the standard image dataset. The Laysan albatross is a large species of seabird found in the North Pacific. 99.7% of the total population is found in the Northwest Hawaiian Islands. The research dataset was obtained from the Caltech Vision Lab website http://www.vision.caltech.edu/datasets/cub_200_2011/ with dimensions of 500 x 271 pixels. Based on the analysis of 10 experiments carried out, the combination of the Sobel and Canny algorithm (SoCan) is not good at performing edge detection because it only has an average accuracy of 47.79% with an average accuracy error rate of 52.21%. Thus, in this case, the combination of the Sobel and Canny algorithms (SoCan) is not able to identify the Inversion Image

Pemanfaatan Machine Learning dengan Algoritma X-Means untuk Pemetaan Luas Panen, Produktivitas, dan Produksi Padi Hakim, Irma; Rafid, M.; Anggraini, Fitri
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2654

Rice plants are essential for the world, especially Indonesia because it is a rice-producing plant that is useful as a staple food for its people. A decreased harvest area, production, and rice productivity can affect food availability. Therefore, this research aims to classify and map the harvested area, production, and productivity of rice in Indonesia based on each province. The research data used in this paper is data on the harvested area (ha), production (tons), and rice productivity (Ku/ha) by Provinces in Indonesia for 2020-2022 obtained from the Indonesian Central Bureau of Statistics website. In this study, the algorithm used is X-Means Clustering with the help of the Rapid Miner application. The results of this study are in the form of grouping or mapping of harvested area, production, and productivity of rice, divided into 3 (three) regions, including 1. Harvested Area (divided into five groups: Very high Harvested Area consists of 3 provinces, High Harvested Area consists of 1 province, Medium Harvest Area consists of 3 Provinces, Low Harvest Area consists of 8 Provinces, and Very low Harvest Area consists of 19 Provinces 2. Rice Production Area (divided into five groups: Very high rice production consists of 3 provinces, Rice production High rice production consists of 1 province, Medium rice production consists of 3 Provinces, Low rice production consists of 8 Provinces, and Very low rice production consists of 19 Provinces 3. Regions of Rice Productivity (divided into five groups: Very high rice productivity consists of 6 provinces, High Rice Productivity consists of 13 provinces, Medium Rice Productivity consists of 7 Provinces, Low Rice Productivity consists of 4 Provinces, and Very Low Rice Productivity consists of 4 Provinces. This can be information for the Indonesian government, especially for the respective provincial governments, to be able to maintain the harvested area, production, and productivity of rice in Indonesia to remain stabel.

Co-Authors Abdur Razzaq, Abdur Achmad Noerkhaerin Putra Andani Eka Putra Andriana, Isni Anton Yudhana Antonio Imanda, Antonio Arpizal Basyir, Vaulinne Devi, Sri Kumala Dewi, Rafiqa Dona Wahyuning Laily Dwijayanti, Novia Sri Efendi Damanik, Bahrudi Emiel Salim Siregar Eva Priskila, Eva Evi Lorita, Evi Fahrezi, Hafid GS, Acmad Daengs Gulo, Maleakhi Gunawan, I Made Sony Hakim, Irma Handani, Syafrillah Hartama, Dedy Hasril, Syafira Hsb, Fiqria Muzdalifah Hsb, Fiqria Muzdalifah Hutasoit, Fictor Marulitua Insani, Yogie Dana Ismail Marzuki Isti Khomah Juwita Juwita, Juwita Karmia, Hudila Rifa Kirana, Ika Okta Kristina Imron Kumala, Sri Kumala MARIA BINTANG Marry Siti Mariam Masruro Nasution, Zulaini Matondang, Silvia Elastari Maulida, Maulida Meilitha Carolina, Meilitha Mieke Hemiawati Satari Mirza Andrian Syah Muizzuddin Muizzuddin, Muizzuddin Murdani, Deni Nani Hidayati, Nani Nasution, Zulaini Masruro Novita Wulandari Oktafiani, Rini Jayanti Permana, Dafid Prabowo, Agung Wira Hadi Prima Astuti Handayani Putri, Alya Pravita Putri, Rizky Oktaviana Eko Raden Mohamad Herdian Bhakti Rafid, M. Rahul, Mirza Resnawati Rezeki, Abdus Salam Rube'i, Muhammad Anwar Safaringga, Afriyanti Helen Safii, M. Samosir, Andi Kesuma Septian Saputra, Harius Eko Septian Samosir, Andi Kesuma Soemardiawan, Soemardiawan Sumarno . Sunarto Sunarto Suprapta, Imam Supriyatnak, Kokom Syaputri, Vera Taufik Taufik Ummah, Rifana Rizki Maulida Uswatun Hasanah Warno Warno Winanjaya, Riki Yuliananingsih Yuliananingsih, Yuliananingsih Yundarwati, Susi

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