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All Journal TEKNIK INFORMATIKA Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah FIFO Jurnal Teknoinfo JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science JURNAL TEKNIK JIKA (Jurnal Informatika) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Journal Social Science And Technology For Community Service Insearch: Information System Research Journal KOMMAS: Jurnal Pengabdian Kepada Masyarakat Community Services and Social Work Bulletin Prosiding Simposium Nasional Multidisiplin (SinaMu) Jurnal Media Jawadwipa

nurnaningsih, Desi

Universitas Muhammadiyah Tangerang

Author-ID : 899362

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Sosialisasi Manfaat Penggunaan Aplikasi Peduli Lindungi Pada Masa Menjelang Berakhirnya Pandemi Covid-19 Arief Herdiansah; Faridi Faridi; Fauyhi Eko Nugroho; Desi Nurnaningsih; Dyas Yudi Priyanggodo; Muhammad Ikhsan Hafianto; Ridwan Ramadhan
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 4, No 1 (2023): Volume 4, Nomor 1, March 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v4i1.2656

Kegiatan pengabdian masyarakat yang dilakukan oleh tim dosen dan mahasiswa Universitas Muhammadiyah Tangerang dijalankan dalam rangka memberikan sosialisasi, update informasi dan pelatihan instalasi serta penggunaan aplikasi Peduli Lindungi kepada ibu-ibu PKK desa Pasar Kemis, Kecamatan Pasar Kemis, Kabupaten Tangerang. Aktifitas pengabdian masyarakat ini dilakukan bekerjasama dengan tenaga kesehatan puskesmas desa Pasar Kemis Kabupaten Tangerang. Pengabdian masyarakat dilakukan dalam bentuk seminar dan juga workshop penggunaan aplikasi Peduli Lindungi.Tahapan pengabdian masyarakat ini dilakukan mulai dari melakukan asesmen terkait pengetahuan yang dimiliki masyarakat tentang aplikasi Peduli Lindungi, kemudian melakukan koordinasi dengan puskesmas setempat untuk selanjutnya melaksanakan kegiatan seminar dan pelatihan penggunaan aplikasi Peduli Lindung. Tahapan akhir dari kegiatan pengabdian pada masyarakat ini adalah melakukan evaluasi untuk mengukur apakah peserta memahami materi yang dismpaikan nara sumber. Hasil dari questioner yang diisi peserta didapat kesimpulan bahwa pengetahuan peserta akan aplikasi Peduli Lindungi jauh lebih baik dari sebelumnya dan kemampuan peserta dalam menggunakan aplikasi Peduli Lindungi semakin meningkat.

Edukasi Pencegahan Covid-19 kepada Masyarakat untuk Memutus Mata Rantai Penularannya di Desa Ciakar Desi Nurnaningsih; Liesnaningsih Liesnaningsih; Arif Kurniawan
Simposium Nasional Mulitidisiplin (SinaMu) Vol 2 (2020): Simposium Nasional Multidisiplin (SinaMu)
Publisher : Universitas Muhammadiyah Tangerang

Kegiatan pengabdian pada masyarakat berupa pemberdayaan masyarakat berupa pembentukan Tim Gugus Tugas COVID-19 dalam rangka memberikan edukasi kepada masyarakat untuk memutus mata rantai penularan COVID-19 ini bertujuan untuk memberikan pengetahuan kepada masyarakat mengenai bahaya COVID-19 dan melakukan pencegahan penularan COVID-19 Khalayak sasaran dalam kegiatan pengabdian pada masyarakat ini adalah masyarakat RT.09 Desa Ciakar, Kelurahan Panongan, Kabupaten Tangerang-Banten. Pembentukan Tim Gugus Tugas dipimpin oleh Ketua RW. Edukasi dalam memutus mata rantai penularan COVID-19 tidak dapat dilakukan secara tatap muka kepada masyarakat karena diberlakukannya social distancing oleh pemerintah, oleh karena itu edukasi kepada masyarakat Desa Ciakar dilakukan secara daring menggunakan media sosial dan kegiatan sosialisasi pencegahan penyebaran COVID-19 melalui pemasangan spanduk di beberapa tempat, pembagian masker, dan penyemprotan desinfektan di wilayah RT.09 Desa Ciakar.Manfaat yang dapat diperoleh masyarakat dari kegiatan pengabdian masyarakat ini antara lain dapat memahami bahaya COVID-19 dan mengetahui cara pencegahan penyebaran COVID-19. Kegiatan pengabdian masyarakat ini diharapkan dapat membantu dalam memutus mata rantai penularan COVID-19.

PROTOTIPE APLIKASI PENENTUAN TINGKAT KESEGARAN TEMPE BERBASIS CITRA DIGITAL Angga Aditya Permana; Rifqi Riadhi; Desi Nurnaningsih
Prosiding Simposium Nasional Multidisiplin (SinaMu) Vol 1 (2019): Simposium Nasional Multidisiplin (SinaMu)
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/sinamu.v1i0.2109

Consumption level of tempe in Indonesia is higher than chicken and meat. Tempe freshness level we consume is an important indicator of tempe quality itself. A fresh diet will provide nourishment and energy to our body. Tempe freshness level can be determined using automated application that is synchronized with the mobile phones. This application prototype was constructed based on Matlab and digital image. A smart detection system of tempe which can detect the freshness of tempe was constructed to ensure whether tempe can be eaten or discarded. An application is developed to decide the good or bad quality of tempe through its freshness.Keywords: Digital image, freshness, Matlab, RGB, tempe

Pengembangan Sistem Informasi Monitoring Dana Desa Menggunakan Pendekatan Feature-Driven Development Tanniewa, Adam M; Nurnaningsih, Desi; Sulastri, Winda; Nugroho, Nurhasan
Insearch: Information System Research Journal Vol 4, No 02 (2024): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/isrj.v4i02.9535

Pemerintah Indonesia telah mengalokasikan dana desa untuk meningkatkan pembangunan di wilayah pedesaan. Namun, pengelolaan dana desa secara manual sering menghadapi berbagai masalah, seperti kesalahan pencatatan, waktu pengolahan yang lama, dan kurangnya transparansi. Untuk mengatasi masalah tersebut, penelitian ini mengembangkan Sistem Informasi Monitoring Dana Desa menggunakan pendekatan Feature-Driven Development (FDD). Metode FDD dipilih karena mampu mengembangkan perangkat lunak secara cepat dan terstruktur dengan fokus pada fitur-fitur spesifik yang bernilai bagi pengguna. FDD memungkinkan pengembangan perangkat lunak secara terstruktur dan iteratif, sehingga setiap fitur yang dihasilkan dapat langsung digunakan dan dievaluasi oleh pengguna. Penelitian ini menunjukkan bahwa implementasi FDD berhasil menyelesaikan pengembangan sistem dalam waktu singkat, yaitu 3 bulan dengan 6 iterasi. Sistem ini menyediakan fungsionalitas inti seperti pengelolaan dana masuk dan keluar, serta penyajian laporan dana desa. Evaluasi melalui usability testing menghasilkan skor rata-rata 86,25%, yang menunjukkan kesiapan sistem untuk implementasi praktis.

Implementasi Metode Linear Discriminant Analysis (LDA) Pada Klasifikasi Tingkat Kematangan Buah Nanas Destriana, Rachmat; Nurnaningsih, Desi; Alamsyah, Dedy; Sinlae, Alfry Aristo Jansen
Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Pineapple is a fruit commodity that is Indonesia's flagship. This is because pineapple is a fruit that has the highest export volume in Indonesia. To obtain pineapples with perfect ripeness, generally manually selected, this becomes inefficient if large numbers of pineapples are selected. So, in this study, an image processing system will be developed that can classify pineapple ripeness based on its image. In this study, the color feature extraction used is feature extraction based on hue and saturation values. Color feature extraction with hue and saturation is used to obtain various information from the colors in the image so as to facilitate the identification process. Furthermore, Linear Discriminator Analysis will obtain optimal projections to be able to enter spaces with smaller dimensions by performing pattern recognition that can be separated so that they can be grouped based on boundary lines obtained from linear equations. Based on the results of the accuracy test, the accuracy rate reaches 83%, it is in the good category

Identifikasi Citra Tanaman Obat Jenis Rimpang dengan Euclidean Distance Berdasarkan Ciri Bentuk dan Tekstur Nurnaningsih, Desi; Alamsyah, Dedy; Herdiansah, Arief; Sinlae, Alfry Aristo Jansen
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

In the midst of the Covid-19 pandemic, increasing the body's immunity is very important. Some experts suggest consuming medicinal plants or herbs to boost immunity. In addition to being used as a cooking spice, this rhizome type plant turns out to have properties and benefits for health, especially to increase immunity. However, many people do not know and it is difficult to distinguish the type of rhizome plant. This type of rhizome plant can be identified based on the characteristics seen from the shape and texture. However, most people judge the type of rhizome has a shape that is difficult to distinguish. This study aims to determine the type of medicinal plant rhizome with Euclidean distance and extraction of shape and texture. Extraction of shape features using metric and eccentricity parameters. This parameter is considered to be able to recognize shape objects and can distinguish them from other objects. Meanwhile, texture feature extraction uses Gray Level Co-occurence Matrix (GLCM) with contrast, correlation, energy, and homogeneity parameters. For the identification process, Euclidean distance is used which serves to represent the level of two images that consider the distance value from Euclidean. From the results of the evaluation using a confusion matrix by calculating precision, recall and accuracy, it gets a precision value of 83%, recal 87% and an accuracy of 85%. These results indicate that the Euclidean distance and extraction of shape and texture features can identify the object image of medicinal plants with rhizome types well

PERANCANGAN SISTEM INFORMASI PENJUALAN ROTI KURNI BAKERY BERBASIS WEB MENGGUNAKAN METODE WATERFALL Taufiq, Rohmat; Heriyanto, Heriyanto; Destriana, Rachmat; Faridi, Faridi; Nurnaningsih, Desi
Jurnal Informatika Vol 7, No 3 (2023): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v7i3.8298

Perancangan sistem informasi penjualan roti kurnia bakery berbasis web merupakan penelitian yang merancang proses penjualan roti ditempat tersebut. ROTI KURNI BAKERY adalah sebuah perusahaan Swasta mitra usaha yang bergerak pada sektor produksi pangan yang berupa roti, masih terdapat sistem yang manual dan belum terkomputerisasi hal ini menyebabkan beberapa masalah yang terjadi diantaranya proses pembuatan laporan membutuhkan waktu yang lama karena perlunya perekapan data terlebih dahulu, sehingga pegawai kesulitan ketika pencarian data. Untuk mengembangkan sistem tersebut dengan menggunakan Unified Modelling Language (UML) untuk pemodelannya sedangkan Waterfall digunakan sebagai metode pengembangan sistem dan PHP dipilih sebagai bahasa pemrograman dengan MySQL didalamnya. Kesimpulan dari penelitian ini perlu dan adanya suatu peningkatan mutu dan kualitas serta informasi yang sehingga dapat membantu meningkatkan mutu sistem dan diharapkan pada saat perancangan aplikasi sistem informasi penjualan Roti Kurni Bakery di buat rancanagan untuk penjualan berbasis web.

PEMANFAATAN APLIKASI TUMBUH KEMBANG BALITA (TUKETA) UNTUK MENINGKATKAN EFEKTIFITAS PENGOLAHAN DATA TUMBUH KEMBANG BALITA DI POSYANDU DELIMA KELURAHAN CURUG KULON Liesnaningsih, Liesnaningsih; Nurnaningsih, Desi; Kurniawan, Arif; Kasoni, Dian
Community Services and Social Work Bulletin Vol 1, No 2 (2021): Community Services and Social Work Bulletin Volume 1 No. 2 2021
Publisher : Universitas Muhammadiyah Tangerang

Community service is an activity of the academic community that utilizes science and technology to advance the welfare of the community and educate the nation's life. In community service activities in the form of using the TUKETA application to increase the effectiveness of recording the growth and development of toddlers at the Delima Posyandu, Curug Kulon Village, it aims to help posyandu cadres in managing the recording of toddler growth and development. The TUKETA application is designed to increase the effectiveness of recording the growth and development of toddlers previously written by cadres on paper. The target audience in this community service activity are the cadres of the Pomegranate Posyandu, Curug Kulon Village, totaling 7 people and 1 village midwife. Community service activities are carried out by providing training to posyandu cadres and village midwives regarding the use of the TUKETA application. The benefits that can be obtained from this community service activity are to provide convenience for posyandu cadres and village midwives in managing data on growth and development of toddlers at the Delima Posyandu, Curug Kulon Village.

Sistem Pendukung Keputusan untuk Optimalisasi Pemilihan Agen Penjualan Menggunakan Metode Entropy dan Multi Attribute Utility Theory Nurnaningsih, Desi; Setiawansyah, Setiawansyah
Jurnal Media Jawadwipa Vol. 1 No. 2 (2024): Volume 1 Number 2 February 2024
Publisher : CV. Keranjang Teknologi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/mediajawadwipa.v1i2.46

Optimizing the selection of sales agents is a strategic approach that aims to improve efficiency and performance in the company's supply chain. The problem that occurs in this study is that the assessment of sales agents based on networks and personal connections can often lead to non-objectivity and reduce transparency in the selection process, and there is no model that can make judgments in selecting the best sales agents. The purpose of this study is to optimize the selection of sales agents by applying the Entropy method for weighting criteria and the MAUT method to produce the selection of the best sales agent based on predetermined criteria, so that it will be a recommendation in determining the best sales agent. The purpose of this study is to optimize the selection of sales agents by applying the Entropy method for weighting criteria and the MAUT method to produce the selection of the best sales agent based on predetermined criteria, so that it will be a recommendation in determining the best sales agent. The results of the alternative ranking of the selection of the best sales agent showed that rank 1 with a final value of 0.8491 was obtained by Various Agents, rank 2 with a final value of 0.6737 was obtained by Mekar, rank 3 with a final value of 0.6401 was obtained by Andalas Agents.

Pengembangan Sistem Pakar Menggunakan Pendekatan Dempster-Shafer Theory Pada Diagnosis Gangguan Makan Pada Anak Fatmayati, Fryda; Nurnaningsih, Desi; Nugroho, Nurhasan; Kurniawanto, Hadi
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 5 (2024): RESOLUSI May 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i5.1884

In this modern era, eating disorders in children are receiving increasing attention due to their significant impact on physical health, mental well-being, and overall development. Diagnosing eating disorders in children is often complicated due to the varying symptoms and the difficulty children have in articulating or understanding their conditions. Additionally, traditional diagnostic approaches often rely on subjective assessments and clinical expertise, which can lead to misdiagnosis or delays in appropriate intervention. This study aims to develop an expert system for diagnosing eating disorders in children using Dempster-Shafer Theory as the primary inference engine. This approach is chosen for its strengths in handling uncertainty and incomplete information, allowing the system to make diagnostic inferences based on observed symptoms, even when the information is ambiguous or incomplete. The system is designed to leverage computational algorithms and medical knowledge, providing reliable and consistent results. From tests conducted on a sample of 30 randomly selected cases, the system achieved an accuracy rate of 93.33%, demonstrating that this approach is highly effective in diagnosing eating disorders in children. The developed expert system, web-based, is equipped with key features that enable diagnosis based on symptoms and provide diagnostic results along with recommendations for appropriate medical actions.

Co-Authors Achmad Udin Zailani Agung Wibowo Ahmad Rodoni Alamsyah, Dedy Alexander, Allan D Alfry Aristo Jansen Sinlae Ali Firdaus Angga Aditya Permana Angga Aditya Permana Angger Aifadnan ARIF KURNIAWAN Arif Kurniawan Ayuni, Diyah Bayu Surarso Daniarti, Yeni Destriana, Rachmat Dyas Yudi Priyanggodo Faiz Muqorrir Kaaffah Faridi Faridi Faridi Fauyhi Eko Nugroho Fryda Fatmayati Hadi Kurniawanto Harriansyah, Harriansyah Hengki Rusdianto Herdiansah, Arief Ida Ayu Putu Sri Widnyani Kasoni, Dian Kuswowo Adi Liesnaningsih Liesnaningsih Liesnaningsih, Liesnaningsih Muhammad Ikhsan Hafianto Nurhasan Nugroho Ramadhina, Salsabila Ridwan Ramadhan RIFQI RIADHI Rifqi Riadhi Rini Nuraini Rohmat Indra Borman Rohmat Taufiq Rosyid Ridlo Al-Hakim Salsabila Ramadhina Setiawansyah Setiawansyah Sulastri, Winda Tanniewa, Adam M

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