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Rancangan Acak Lengkap untuk Mengetahui Pengaruh Pemasaran Melalui Media Sosial Terhadap Penjualan Unique Hijab Bouquet Anita Desiani; Sri Indra Maiyanti; Dian Cahyawati Sukanda; Putri Bella Nusantara; Titania Jeanni Charisa; Apledaria Apledaria
Jurnal Infomedia:Teknik Informatika, Multimedia & Jaringan Vol 5, No 2 (2020): Jurnal Infomedia
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jim.v5i2.2102

Abstract

Unique Hijab Bouquet adalah salah satu usaha UMKM yang dikembang oleh beberapa mahasiswa Universitas Sriwijaya yang bergerak pada bidang industri kreatif. Pada pendemi Covid 19, Unique Hijab Bouquet  mengalami penurunan penjualan yang signifikan sehingga usaha ini mencoba untuk memasarkan produk di media sosial. Media sosial bukan merupakan hal yang baru dalam pemasaran, banyak tokoh-tokoh yang telah menggunakan media sosial, karena media sosial memiliki fitur-fitur yang mendukung dan dapat menjangkau pasar yang lebih luas. Penelitian ini bertujuan untuk melihat bagaimana pengaruh media sosial terhadap penjualan Unique Hijab Bouquet dan mengetahui aplikasi yang paling berpengaruh terhadap penjualan Unique Hijab Bouquet. Metode yang digunakan dalam penelitian ini adalah desain eksperimen rancangan acak lengkap dan uji lanjut Duncan Multiple Rang Test (DMRT). Aplikasi Whatsapp, Facebook, Instagram dan penjualan tanpa aplikasi (kontrol lingkungan) yang akan menjadi perlakuan dalam penelitian dan pada perulangan menggunakan data penjualan perminggu. Hasil pengolahan rancangan acak lengkap pada data penjualan Unique Hijab Bouquet dengan menggunakan distribusi F menunjukkan bahwa , F hitung (4.550)  F table (3.10), artinya dengan  sebesar 0.05 menyatakan bahwa media sosial memiliki pengaruh dalam penjualan produk Unique Hijab Bouquet. Berdasarkan hasil uji lanjut didapatkan aplikasi yang paling berpengaruh terhadap penjualan Unique Hijab Bouquet adalah Facebook.
Inovasi digitalisasi promosi potensi dan produk usaha masyarakat desa berbasis website di Desa Bangsal Kecamatan Pampangan Anita Desiani; Sugandi Yahdin; Irmeilyana Irmeilyana; Desty Rodiah
Riau Journal of Empowerment Vol 3 No 1 (2020)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.199 KB) | DOI: 10.31258/raje.3.1.49-59

Abstract

Bangsal Village is in the South Sumatra region within the district of Ogan Komering Ilir, Pampangan District. Bangsal Village ha potential including buffalo milk, sugar puan, sagon, penjem (a kind of yogurt), curd (a kind of butter for cooking oil), smoked-fish, fish-crackers and swamp-rice with high iron mineral (Fe). Almost the majority of Bangsal villagers are buffalo breeders. The potential possessed by Bangsal Village, if developed, is expected to make the villages has food sovereignty, economic independence and local wisdom as personality in culture. One of the media that can help develop it is Computer and Information Technology (ICT). The ICT can be used as the development of village websites. Bangsal village website can be a media for promotion of potentials and products owned by Bangsal Village. With the website everyone can easily search for information and get to know the Bangsal village without having to go directly to the village. The development of the Bangsal village website requires an active role from the Bangsal village community and community itself. Website management training that has given to several village community participants showed good results. These can be seen from the ability of participants to complete more than 70% of the tasks given by the trainer.
Pemanfaatan marketplace shopee sebagai strategi untuk meningkatkan pemasaran kain songket Anita Desiani; Irmeilyana Irmeilyana; Ajeng Islamia Putri; Enyta Yuniar; Nur Avisa Calista; Siddiq Makhalli; Ali Amran
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 4, No 2 (2021): Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v4i2.9222

Abstract

South Sumatera songket woven cloth is one of the cultural assets of South Sumatera Province which is usually used at weddings and other traditional ceremonies. One of the villages which is famous as a producer of songket cloth is a Penyandingan Village. The songket cloth industry in Penyandingan Village experienced a decline in turnover of up to 60% during the Covid-19 pandemic. This is supported by the lack of knowledge of society regarding marketing strategies and technology in marketing products. For this reason, Shopee market management training is needed for songket cloth craftsmen and the Penyandingan Village society through the Sriwijaya University Thematic Community Service team program so that the marketing of songket fabrics can reach a wide market and be able to compete with other products. The method used is the lecture method including data collection planning and implementation of activities. The research analysis uses descriptive analysis to provide a general description of the implementation of the Shopee marketplace training. After the training was carried out,  Penyandingan Village society was able to understand the material and apply it directly using the Shopee application, and could be applied on a sustainable scale so that sales of songket cloth could increase.
Pemanfaatan Ms.Excel untuk Pembukuan Keuangan UMKM Desa Bangsal Kecamatan Pampangan Anita Desiani
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2021): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v5i1.4464

Abstract

Bangsal Village is in the Pampangan OKI of South Sumatera. Bangsal Village has community groups of micro small and medium enterprises (UMKM) including Buffalo Cattle, Palm Sugar and Buffalo Milk Jelly Producers. So far, the bookkeeping and financial reports carried out by the UMKM group are still manual paper records. In addition, UMKM don’t have staff to manage their financial reports, but by involving Ibnul Falah high school students. The students don’t have enough knowledge to use the computer technology like Ms.Excel for financial reports. The ms.excel workshop activities are given to community and ward village students in order to manage financial reports and bookkeepings easily. In addition, assistance and evaluation are also carried out so that the material is truly understood. The results are quite good, it can be seen from the average score obtained from the assignment, which is 76.7 and the average written test score is 78.1
Pemanfaatan Aplikasi Perkantoran untuk Pengelolaan Administrasi Desa Penyandingan Ogan Ilir Anita Desiani; Sugandi Yahdin; Sri Indra Maiyanti; Dewi Lestari Dwi Putri; Ilham Tri Wibowo; Muhammad Awaludin Djohar; Muhammad Syariful Irsyad
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 3 (2021): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v5i3.5708

Abstract

Desa Penyandingan memiliki luas sebesar 0,45 km2 dengan jumlah warga sebanyak 646 orang yaitu 312 laki-laki dan 334 perempuan. Berdasarkan wawancara dengan Kepala Desa Penyandingan, mayoritas masyarakat desa penyadingan berkerja sebagai pertani. Sedangkan untuk yang bekerja sebagai pegawai baik negeri ataupun swasta hanya sebesar 6,34% dari seluruh warga desa. Dalam pembuatan berkas ataupun surat, warga desa biasanya hanya mengandalkan sekretaris desa dikarenakan belum paham dalam penggunaan komputer dan aplikasi perkantoran, sehingga ketika adanya banyak berkas yang diterima, maka akan terjadi proses yang lama dalam mengerjakaannya. Maka pelatihan aplikasi perkantoran ini dilakukan untuk memberikan pemahaman warga desa terutama seluruh perangkat desa untuk dapat menggunakan serta mengoperasikan aplikasi perkantoran. Kegiatan ini dilakukan dengan memberikan materi dan pendampingan secara langsung dalam mengoperasikan aplikasi, serta pemberian soal pre-test dan post-test untuk instrumen penilaian. Dengan adanya pelatihan perkantoran ini, pengelolaan administrasi Desa Penyandingan dapat terarah dan efisien.
Segmentation of the Lungs on X-Ray Thorax Images with the U-Net CNN Architecture Teddi Pranata; Anita Desiani; Bambang Suprihatin; Herlina Hanum; Filda Efriliyanti
Computer Engineering and Applications Journal Vol 11 No 2 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.538 KB) | DOI: 10.18495/comengapp.v11i2.404

Abstract

Lungs are one of the most important parts of the human body. They are very susceptible to various disorders and diseases. For this reason, it is necessary to detect or diagnose the lungs. In this study, we present a method for lung segmentation using the CNN method U-Net architecture. The initial stage was pre-processed did a 1-1 correspondence to equalize the amount of training data and testing data and resized the image so all images have the same size. The process continued with the CLAHE (Contrast Limited Adaptive Histogram Equalization), and after that, the segmentation process was carried out according to the method. This study used a dataset from the Kaggle website. The results used the CNN method of the U-Net architecture in data get an average accuracy of 91.68%, sensitivity 92.80%, and specificity 89.15%, precision 95.07, and F1-Score 93. 92%. Based on the performance evaluation results, it was concluded that the method proposed in the study is great and valid in the lungs segmentation on X-Ray Thorax images.
Classification of Geometric Batik Motif Typical of Indonesian Using Convolutional Neural Network Muhammad Wahyu Ilahi; Chairu Nisa Apriyani; Anita Desiani; Nuni Gofar; Yuli Andriani; Muhammat Rio Halim
JURNAL TEKNIK INFORMATIKA Vol 15, No 1 (2022): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v15i1.24968

Abstract

Batik is a world heritage from Indonesia which is a characteristic of Indonesian culture. On October 2, 2009 batik has been awarded as a cultural heritage from UNESCO. Indonesia has 5.849 batik patterns from Aceh to Papua. The ability to recognize batik cloth patterns is certainly quite difficult and only owned by certain people who have expertise. One way to identify batik patterns is by using a pattern recognition classification method based on quantitative measurements of the main features or characteristics of an object. Deep Learning is one solution to detect batik patterns automatically. One of deep learning methods that can classify patterns of batik patterns is Convolutional Neural Network (CNN). CNN is able to group and detect objects in the image automatically by accepting input data with a size of m×n. CNN uses image input through a convolution layer and be processed according to the specified filter. Each layer produces a pattern from several parts of the image that facilitates the classification process. This study uses the CNN method and obtains the average value of 96% accuracy, 96,78% precision, 96,74% recall, and 96,74%.
Pemanfaatan aplikasi daring untuk peningkatan pemasaran songket dan purun perajin Burai Sri Indra Maiyanti; Anita Desiani; Sugandi Yahdin; Erwin Erwin; Desty Rodiah; Muhammad Naufal Rachmatullah; Dite Geovanni; Muhammad Akmal Shidqi; Muhammad Gibran Al-Filambany
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 5, No 2 (2022): Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v5i2.14356

Abstract

Implementasi Algoritma K-Nearest Neighbor (K-NN) dan Single Layer Perceptron (SLP) Dalam Prediksi Penyakit Sirosis Biliari Primer Annisa Nurba Iffah’da; Anita Desiani
Jurnal Ilmiah Informatika Vol. 7 No. 1 (2022): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v7i1.65-74

Abstract

Primary biliary cirrhosis is a chronic cholestatic liver disease that can lead to liver failure. The majority of individuals who suffer from this disease are women. Primary biliary cirrhosis is recorded as contributing to mortality worldwide with a percentage of 0.6% to 2.0%. However, so far, randomized trials have shown that some immunosuppressant or immunosuppressive drugs do not play a major role in patients with primary biliary cirrhosis. Therefore, early detection is important to start treatment and planning for appropriate medical needs. The results of the processing accuracy with the K-NN algorithm of 76.2% and the SLP algorithm of 63% using the Percentage Split method show that the K-NN algorithm is better for early detection of primary biliary cirrhosis. The K-Nearest Neighbor algorithm is able to perform early detection of primary biliary cirrhosis with a precision of 77% and recall of 75% with the hope that the percentage of mortality worldwide can decrease. However, the K-NN algorithm is not superior in retrieving information in patients with primary biliary cirrhosis. On the other hand, the SLP algorithm is superior in retrieving information in patients with primary biliary cirrhosis with a recall value of 65%.
Pembelajaran Pengukuran Menggunakan Pendekatan Matematika Realistik Untuk Peserta Didik SD Negeri 04 Indralaya Selatan Anita Desiani; Sugandi Yahdin; Hermansyah; Ali Amran; Bambang Suprihatin; Muhammad Azwar Annas; Mega Tiara Putri; Carolina Rahman; Alga Mahida
BAKTI : Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 1 (2022): BAKTI : Jurnal Pengabdian Kepada Masyarakat
Publisher : LLDikti Wilayah XII Maluku dan Maluku Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51135/baktivol2iss1pp21-32

Abstract

Matematika merupakan sebuah pelajaran yang cukup sulit bagi banyak peserta didik. Sistem pembelajaran yang diajarkan bisa menjadi faktor peserta didik menyukai pelajaran Matematika. Salah satu metode belajar yang mudah dipahami dan mengasyikkan untuk peserta didik yaitu metode pembelajaran Matematika realistik. Kegiatan pembelajaran dengan pendekatan Matematika Realistik dilakukakan di Sekolah Dasar Negeri 04 Indralaya Selatan di desa Beti yang memiliki 68 peserta didik dan 11 guru. Kegiatan ini diberikan pada sisa kelas 2 dan kelas 3 karena proses pengajaran ini difokuskan pada materi pengukuran. Kegiatan ini dilakukan dengan cara pemberian materi, latihan dan diskusi. Untuk mengetahui sejauh mana pemahaman siswa dilakukan pre-test dan post-test untuk materi Matematika pengukuran yang telah diberikan.  Dari hasil pre-test dan post-test yang diberikan terlihat pemahaman siswa kelas 2 dan kelas 3 meningkat. Hal ini dapat diliat dari skor yang diperoleh sebelum dilakukan kegiatan yaitu rata-rata hanya 66.33 poin. Hasil setelah dilakukan kegiatan skor rata-rata dari peserta naik menjadi 80. Hal ini menunjukan pembelajaran Matematika pengukuran dengan pendekatan Matematika realistik mampu membantu dan meningkatkan minat dari siswa dalam mempelajari Matematika terutama bagi siswa kelas 2 dan kelas 3 SD Negeri 04 Indralaya.
Co-Authors Adi Muzakir Adinda Ayu Lestari, Adinda Ayu Adzra Afiifah Nabila Affandi, Azhar Kholiq Agatha, Lucy Chania Agung Alamsyah Ajeng Islamia Putri Ajeng Islamia Putri Al-Ariq, M Al-Filambany, Muhammad Gibran Alamsyah, Agung albar Pratama Alga Mahida Ali Amran Ali Amran Ambarwati Ananda Pratiwi Andhini, Shania Putri Andika Cristian Lubis Andriani, Nur Avisa Calista Anggraini, Jeni Putri Anisa Aulia Kusmareni Annisa Aulia Lestari Annisa Kartikasari Annisa Nabila, Annisa Annisa Nur Fauza Annisa Nurba Iffah’da Apledaria Apledaria Arhami, Muhammad Arhami, Muhammad Arsyad. H, Muhammad Iqbal Arum Setiawan Aulia Salsabila Aulia, Annisa Rizka Ayuputri, Niken Azhar Kholiq Affandi Azzahra, Nur Devita Bambang Suprihatin Bambang Suprihatin Bambang Suprihatin Bambang Suprihatin Batubara, Gracia Mianda Caroline Bella Agustina, Sinta Betty Aprianah Betty Aprianah Budi Mulyono Calista, Nur Avisa Carolina Rahman Chairu Nisa Apriyani Chaya Gladys Zhafirah A Clarita Margo Uteh Des Alwine Zayanti Des Alwine Zayanti Des Alwine Zayanti, Des Alwine Desty Rodiah Dewi Lestari Dwi Putri Dewi Lestari Dwi Putri Dewi, Deshinta Arrova Dian Cahyawati Dien Novita Dina Elly Yanti Dina Elly Yanti Dina Suzzete Sitorus Dite Geovani Dite Geovanni Dwi Ranti Dwi Septiani Dwifa, Dima Echa Alda Melinia Efriliyanti, Filda Endang Sri Kresnawati Endang Sri Kresnawati Endro Setyo Cahyono Endro Setyo Cahyono, Endro Setyo Enyta Yuniar Ermatita - Erwin Erwin Erwin, Erwin Fadhilah, Nadiyah Fadilah, Nadiyah Faishal Fitra Ramadhan Ferdinand Hukama Taqwa Filda Efriliyanti fildzah daniela, nyayu audy Firdaus Firdaus Fitri Salamah Fivalianda, Dido Geovani, Dite Geovanni, Dite Giovillando Hadi Tanuji Hasibuan, MS Henisaniyya, Nabila Herlina Hanum Herlina Hanum, Herlina Hermansyah Hermansyah Hermansyah Hermansyah Hermansyah Husaini Husaini Ilham Tri Wibowo Indah Verdya Alvionita Indra Maiyanti, Sri Ira Rayyani Irmeilyana Irmeilyana Irmeilyana Irvan Andrian Kanda Januar Miraswan Karina Kartila Kartila Kerenila Agustin Kurnia, M Kahfi Aldi Kurniawan, Rifki Kusmareni, Anisa Aulia Lizah Framesti Lubis, Andika Cristian Lucy Chania Agatha Makhalli, Siddiq Manoppo, Sania Marselina, Nyanyu Chika Maya Meilensa Maya Meilensa Mayangsari, Oki Sukma Mega Tiara Putri Mitta Permata Sari Mochamad Syaifudin, Mochamad Mortara, Alda Amalia MS Hasibuan Muhammad Akbar Muhammad Akmal Shidqi Muhammad Awaludin Djohar Muhammad Awaludin Djohar Muhammad Azwar Annas Muhammad Gibran Al-Filambany Muhammad Naufal Rachmatullah Muhammad Nawawi Muhammad Nawawi Muhammad Syariful Irsyad Muhammad Wahyu Ilahi Muhammat Rio Halim Muslim Muslim Muslim Muslim Mustaqima, Dina Mutiara Saviera Muzakir, Adi Muzayyadah, Fathona Nur Nadya Riri Febiyanti Napitu, Michael Jackson Narti Narti, Narti Naufal Rachmatullah Ngudiantoro . Ning Eliyati Novi Rustiana Dewi Novi Rustiana Dewi Nugrohoputri, Rifa Fadhila NUNI GOFAR Nur Avisa Calista Nur Devita Azzahra Nyayu Chika Marselina Oki Dwipurwani Permatasari, Mitta Pertiwi, Citra Prabudifa, Muhammad Yusuf Pranata, Teddi Pratiwi, Ananda Puspa Sari Puspa Sari, Puspa Putra Bahtera Jaya Bangun, Putra Bahtera Jaya Putri Bella Nusantara Putri Pratiwi Putri, Ajeng Islamia Rahmadita, Suristhia Rahmat Dwian Ramadhan, Faishal Fitra Ramadhan, Raihan Ramadhani, Syafira Dian Ramayanti, Indri Rana Sania Rayani, Ira Redina An Fadhila Chaniago Redina An Fadhila Chaniago Refky Maulana Rifa Fadhila Nugrohoputri Rifki Kurniawan Rifkie Primartha Rifkie Primartha Rifkie Primartha Rio Halim, Muhammat Rizki, Fatur Salahuddin Salahuddin Salamah, Fitri Salsabila, Aulia Saputra, Tommy Sari Suryati Sasongko, Muhammad Aditya Savera, Mutiara Saviera, Mutiara Shania Putri Andhini Shidqi, Muhammad Akmal Shinta Octarina Siddiq Makhalli Sigit Priyanta Simamora, Valentino Sinta Bella Agustina Siti Husnul Hotimah, Siti Husnul Siti Nurhaliza Siti Rusdiana Puspa Dewi Sitorus, Dina Suzzete Sri Indra Maiyanti Sri Indra Maiyanti Sri Indra Maiyanti Sri Indra Maiyanti Suedarmin, Muhammad Sugandi Yahdin Sugandi Yahdin Sugandi Yahdin Suratama, Bintang Susanto Susanto Susanto Susanto Syafrina Lamin, Syafrina Syarifuddin, Fauzi Yusuf Teddi Pranata Titania Jeanni Charisa Titania Jeanni Charissa Tri Febriani Putri tri wahyuni Villando, Gio Waafiyah, Hilmiana Wahyudi, Yogi Yadi Utama Yassir Yassir Yogi Wahyudi Yonarta, Danang Yuli Andirani Yuli Andriani Yuli Andriani Yulia Resti Yuniar, Enyta Z, Des Alwine