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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
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Bacterial inhibition test of methanolic extracts of strawberry (Fragraia x ananassa Duchesne), lime (Citrus aurantifolia), and radish (Raphanus sativus L.), towards Streptococcus Sanguis ATCC 10556 Anggraini, Fitri; Satari, Mieke Hemiawati; Mariam, Marry Siti
Padjadjaran Journal of Dentistry Vol 30, No 2 (2018): July
Publisher : Faculty of Dentistry Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (166.37 KB) | DOI: 10.24198/pjd.vol30no2.18325

Abstract

Introduction: Caries are initiated by the plaque formation on the tooth surface, due to the interaction between food debris and bacteria in the mouth. The pioneer bacterium of plaque formation is Streptococcus sanguis. The  Strawberry fruit, lime fruit, and radish root are part of the plant that contains antibacterial substances. Flavonoid, tannin, saponin, alkaloid, polyphenol, terpenoid and quinon as antibacterial substances. This study aimed to evaluate strawberry fruit, lime fruit, and radish root methanol extract can inhibit Streptococcus sanguis ATCC 10556. Therefore, strawberry, lime, and radish can be made into mouthwash, bubble gum, or toothpaste to prevent plaque formation. Methods: This study used a Kirby-Bauer diffusion test as the inhibition test. Results: The result of this study that the biggest inhibition zone was lime methanol extract 20,000 ppm, and the smallest one was radish methanol extract 5,000 ppm.  Conclusion: Strawberry fruit, lime fruit peel, and radish root methanol extract and their combination had the effect of inhibiting bacterial growth synergistically against Streptococcus sanguis ATCC 10556.
MISKONSEPSI SISWA SMA PADA MATERI PERSAMAAN LOGARITMA DENGAN MENGGUNAKAN TES DIAGNOSTIK Anggraini, Fitri; Putri, Rizky Oktaviana Eko; Insani, Yogie Dana
MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Vol 2 No 1 (2019): Vol. 2 No. 1 Maret 2019
Publisher : Prodi Pendidikan matematika Universitas Islam Majapahit (UNIM), Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (0.036 KB)

Abstract

Tujuan dari penelitian ini adalah untuk mendeskripsikan miskonsepsi siswa, penyebab miskonsepsi siswa, dan alternatif dalam menanggulangi miskonsepsi siswa SMA pada materi logaritma dengan menggunakan tes diagnostik. Penelitian ini termasuk kedalam penelitian kualitatif deskriptif. Populasi dalam penelitian ini adalah siswa kelas X MIPA-3. Sampel dalam penelitian ini sebanyak 13 orang. Instrumen yang digunakan dalam pengambilan data adalah berupa angket, tes diagnostik, dan pedoman wawancara. Angket digunakan untuk mengetahui penyebab miskonsepsi siswa. Data tes diagnostik dikumpulkan menggunakan two-tier multiple choice dan three-tier multiple choice untuk mengidentifikasi siswa kedalam paham konsep, miskonsepsi, menebak, pengetahuan lemah, dan tidak paham konsep. Pedoman wawancara digunakan untuk melakukan wawancara hasil tes dan mengetahui sebab miskonsepsi tiap subkonsep materi persamaan logaritma. Berdasarkan hasil penelitian yang diperoleh dari tes diagnostik two-tier multiple choice terhadap siswa kelas X MIPA 3 bahwa miskonsepsi teridentifikasi pada pada nomor 4, 7, dan 10 dengan subkonsep berturut-turut yaitu pada grafik persamaan logaritma, persamaan logaritma berbentuk h(x)log f(x) = h(x)log g(x), dan aplikasi logaritma dalam kehidupan. Penyebab miskonsepsi yang dialami oleh siswa pada materi persamaan logaritma menggunakan tes diagnostik Two-Tier dan Three Tier Multiple Choice yaitu miskonsepsi pada nomor 4, 7, dan 10 yaitu karena siswa dan cara mengajar. Alternatif penyelesaian menanggulangi miskonsepsi siswa SMA pada materi logaritma terdapat 2 sebab yakni karena siswa dan karena cara mengajar guru.
Analisa JST Untuk Memprediksi Pembuatan SIM Menggunakan Metode Algoritma Backpropagation Rahul, Mirza; Gunawan, Indra; Anggraini, Fitri; Sumarno, Sumarno; Kirana, Ika Okta
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1742

Abstract

In a service company there are customers who become consumers of the company. Customer satisfaction is formed from the level of performance and company loyalty. If the company does not know about the level of customer satisfaction, the company also cannot develop their services. So from that Pematangsiantar Police Satpas need to know the level of customer satisfaction in order to improve their performance and loyalty. So research is needed to determine the level of customer satisfaction through the Artificial Neural Network method with the backpropagation algorithm which is then predicted and the best results will be searched to be used to give the best results and will display the results of the problems encountered.
IMPLEMENTASI UNDANG-UNDANG NOMOR 22 TAHUN 2009 PASAL 107 TENTANG PENGGUNAAN LAMPU UTAMA SEPEDA MOTOR PADA SIANG HARI DI KECAMATAN PONTIANAK KOTA Anggraini, Fitri; Yuliananingsih, Yuliananingsih; Rube'i, Muhammad Anwar
JURNAL PENDIDIKAN KEWARGANEGARAAN Volume 5 Nomor 1 Edisi Juni 2021
Publisher : IKIP PGRI PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/pkn.v5i1.2234

Abstract

 Penelitian ini bertujuan untuk mendeskripsikan dan menganalisis implementasi Undang-Undang Nomor 22 Tahun 2009 Pasal 107 Tentang penggunaan lampu utama sepeda motor pada siang hari di Kecamatan Pontianak Kota. Metode penelitian yang digunakan dalam penelitian ini adalah penelitian kualitatif  dengan bentuk deskriptif. Subyek penelitian Polisi, Masayarakat dan Mahasiswa di Kecamatan Pontianak Kota. Alat pengumpulan data dalam penelitian ini adalah panduan observasi, wawancara dan dokumentasi. Teknik analisi data menggunakan teknik observasi langsung, teknik komunikasi langsung dan teknik dokumentasi. Hasil penelitian implementasi pasal 107 ayat 2 mengenai penggunaan lampu pada siang hari di Kecamatan Pontianak Kota sudah cukup baik, namun sebagian masyarakat belum medukung implementasi undang-undang lalu lintas pasal 107 ayat 2 dengan itu dapat dilihat di jalan raya bahwa masih ada pengendara sepeda motor yang belum menerapkan peraturan menyalakan lampu sepeda motor pada siang hari. 
Analisa Pengaruh Perbedaan Waktu Belajar Terhadap Hasil Belajar Mata Kuliah Matematika Diskrit Mahasiswa STIKOM Tunas Bangsa Nasution, Zulaini Masruro; Kirana, Ika Okta; Anggraini, Fitri
JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Vol 8, No 2 (2022)
Publisher : Fakultas Keguruan dan Ilmu pendidikan (FKIP) Universitas Labuhan Batu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpms.v8i2.3617

Abstract

Tujuan dari penelitian ini adalah untuk menganalisa waktu belajar dengan hasil belajar Matematika diskrit. Jenis penelitian ini adalah penelitian kuantitatif menggunakan survey expose facto. Populasi penelitian ini adalah mahasiswa STIKOM Tunas Bangsa Pematangsiantar. Sampel yang digunakan adalah 75 mahasiswa yang terbagi menjadi 2 kelompok belajar  yaitu mahasiswa sesi pagi yang terdiri dari 40 mahasiswa dan mahasiswa sesi siang yang terdiri dari 35 mahasiswa semester 6 TA 2021-2022. Pengumpulan data menggunakan hasil belajar mahasiswa (Nilai UAS) pada mata kuliah matematika diskrit.Analisisi data menggunakan analisis regresi sederhana berbantu software SPSS 25.  Hasil analisa yaitu nilai signifikan 0,542 lebih besar dari 0,05. Nilai signifikansi sebesar 0,542 merujuk pada cara pengambilan keputusan berdasarkan nilai signifikansi yaitu 0,542 > 0,05 maka, waktu belajar tidak memiliki pengaruh terhadap variabel terikat yaitu hasil belajarmatematika diskrit mahasiswa semester 6 TA. 2021-2022 prodi Sistem Informasi STIKOM Tunas Bangsa Pematangsiantar.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (280.795 KB) | DOI: 10.47065/bits.v1i2.39

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1415.232 KB) | DOI: 10.47065/bits.v4i1.1660

Abstract

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

Abstract

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.
Pelatihan Pembuatan Eco Enzyme Sebagai Alternatif Pengelolaan Sampah Organik Rumah Tangga Anggraini, Fitri; Putri, Alya Pravita; Permana, Dafid; Ummah, Rifana Rizki Maulida; Syah, Mirza Andrian
PENGABDI PENGABDI: VOL. 5, NO.1 (2024)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/pengabdi.v5i1.64188

Abstract

Abstrak.  Pengelolaan sampah organik di tingkat rumah tangga menjadi tantangan signifikan dalam upaya mewujudkan lingkungan yang berkelanjutan. Sampah organik rumah tangga yang tidak dikelola dengan baik dapat menumpuk dan menghasilkan bau yang tidak sedap serta berdampak negatif terhadap lingkungan dan kesehatan. Salah satu solusi yang inovatif dan ramah lingkungan adalah dengan memanfaatkan teknik fermentasi organik untuk menghasilkan eco enzyme. Kegiatan pengabdian kepada masyarakat ini berfokus pada pelatihan pembuatan eco enzyme sebagai metode pengelolaan sampah organik rumah tangga. Pelatihan ini bertujuan untuk mengedukasi masyarakat Desa Gelam agar mampu mengolah dan memanfaatkan sampah organik menjadi produk yang bermanfaat seperti eco enzyme serta meningkatkan kesadaran akan pentingnya menjaga lingkungan. Pelatihan ini diharapkan dapat menjadi model yang efektif dalam mengurangi volume sampah organik rumah tangga dan mempromosikan praktik berkelanjutan di masyarakat. Pelatihan ini dilaksanakan dalam beberapa tahap, mulai dari perencanaan, pelaksanaan, dan evaluasi kegiatan. Metode yang digunakan dalam pelatihan diantaranya metode ceramah, praktek, serta diskusi dan tanya jawab. Data dikumpulkan melalui observasi dan wawancara untuk menganalisis kebutuhan masyarakat serta kuesioner untuk mengevaluasi kebermanfaatan, pemahaman, dan kepuasan peserta setelah mengikuti pelatihan. Hasil dari pelatihan menunjukkan bahwa peserta mampu memahami dan mempraktikkan pembuatan eco enzyme dengan baik serta menunjukkan peningkatan kesadaran akan pentingnya pengelolaan sampah organik yang ramah lingkungan. Kesimpulan dari kegiatan ini adalah pelatihan pembuatan eco enzyme telah dilaksanakan dengan baik dimana jumlah peserta pelatihan mencapai 100% dari jumlah yang ditargetkan. Melalui kuesioner evaluasi, peserta telah memahami tata cara pembuatan dan penggunaan eco enzyme untuk kehidupan sehari-hari. Peserta juga merasa bahwa materi yang diberikan sangat bermanfaat dan merasa sangat puas setelah mengikuti pelatihan ini. Kata Kunci: Pelatihan, Eco Enzyme, Sampah Organik.
Application of the Naïve Bayes Algorithm in Predicting Sales Prices for Snacks Gulo, Maleakhi; Sumarno, Sumarno; Anggraini, Fitri
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 2 No. 2 (2023): June
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v2i2.2444

Abstract

This study aims to apply the Naïve Bayes Algorithm in predicting the selling price of snacks at Toko Timbul II. The data used in this study were obtained from January to December 2018-2021, covering various variables relevant to snack sales. The data collected is divided into two parts, namely Data Training and Data Testing. The Training Data consists of 20 alternatives, which are used to train the prediction model of the Naïve Bayes Algorithm. While Data Testing consists of 16 alternatives, which are used to test the extent of the model's ability to predict the selling price of snacks. Testing was carried out using the Rapid Miner application. The test results show that the implemented model achieves an accuracy rate of 100% in predicting the selling price of snacks. These results indicate that the Naïve Bayes Algorithm has great potential in predicting the selling price of snacks at Timbul II Stores. These findings can provide valuable insights for store managers and snack food industry stakeholders, as well as encourage the use of predictive analytical methods in similar contexts. It is hoped that the results of this study can contribute to optimizing sales strategies and making more informed decisions in the future.
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