Article Per Year (5 Year)
p-Index From 2020 - 2025
3.057
P-Index
This Author published in this journals
All Journal MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Bumigora Information Technology (BITe) Teknomatika (Jurnal Teknologi dan Informatika) Mitra Mahajana: Jurnal Pengabdian Masyarakat ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Jurnal Ilmiah Pengabdian dan Inovasi Seminar Nasional Aplikasi Iptek (SINAPTEK) Jurnal Edukasi dan Pengabdian kepada Masyarakat (JEPKM) Jurnal Karya untuk Masyarakat (JKuM)
Ayu Dasriani, Ni Gusti
Faculty Of Engineering And Design, Universitas Bumigora
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 19 Documents
Search

 1   2 
Perbandingan Pengenalan Karakter Plat Kendaraan Bermotor dengan Metode City Block Distance, Euclidean Distance dan Canberra Distance Dasriani, Ni Gusti Ayu
Teknomatika Vol 7 No 2 (2017): Teknomatika Volume 07 No 02 September 2017
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer PalComTech

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

An object has many variations of patterns that can be used as a basis for information to recognize an object. In the search of an image, in general the approach used is the distance approach. Approaches using this distance function to determine similarity or dissimilarity of two feature vector expressed by a score or rank, where the smaller the value ranking the more closely the similarities of the two vectors. Distance measurement methods that can be used in this case include city block distance, Euclidean distance, Canberra distance. This paper will discuss the comparison of the results of the motor vehicle license plate character recognition using distance measurement city block distance, Euclidean distance and Canberra distance. The result shows that for character recognition using distance measurement method, City Block Distance is better than Euclidean distance and Canberra distance. Keyword-Character recognition, distance measurement, City Block, Euclidean, Canberra
Peningkatan Kemampuan Pedagogik Guru melalui Program Pelatihan dan Pendampingan Bekelanjutan dalam Pembelajaran Computational Thinking pada Mata Pelajaran Matematika Dyah Susilowati; Apriani Apriani; Kartarina Agustin; Ni Gusti Ayu Dasriani
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 1 No 2 (2021): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1340.284 KB) | DOI: 10.30812/adma.v1i2.1015

Abstract

The problem faced by target partners (target schools) is the low ability of students to solve problems. In fact, problem solving ability is one of the skills that must be possessed in the 21st century. This community service aims to improve teacher pedagogical competence in implementing Computational Thinking learning as well as assistance in its implementation. The method used is an educational approach with stages, identification of target schools, socialization of activities, implementation, monitoring and evaluation. The result of this activity was an increase in teacher knowledge in computational thinking by 95%, and teacher interest in applying computational thinking to subjects by 92%. The conclusion of this activity is known that community service partners have increased their knowledge of problem solving methods using a computational thinking approach and can apply them in mathematics learning.
Pemberdayaan Pengrajin Perak Melalui Market Place sebagai Media Penjualan Online di Desa Ungga,Kabupaten Lombok Tengah Khairan Marzuki; Apriani Apriani; Ni Gusti Ayu Dasriani
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 1 No 2 (2021): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1013.415 KB) | DOI: 10.30812/adma.v1i2.1023

Abstract

The impact of the industrial revolution era 4.0 has been switched from a traditional system to a digital. Therefore, craftsmen also must follow the changing of this era to sell their handicrafts that previously used a traditional sales system where buyers have to go to the counter/gallery selling silver, especially the silver handicrafts in the village of Lombok, Central Lombok. The output of this community service is that craftsmen have an online shop as a medium for selling the silver handicrafts in Ungga. This online shop can be accessed by residents all over the world anytime and anywhere in making an online store uses the word press content management system because it probably solves the problem to increase the product sales.
Women and Children Empowerment through Learning English: Collaborating with Jage Kestare Foundation Puspita Dewi; Riyana Rizki Yuliatin; Isra Dewi Kuntary Ibrahim; Nurul Hidayah; Raden Bagus Faizal Irany Sidharta; Ni Gusti Ayu Dasriani
Mitra Mahajana: Jurnal Pengabdian Masyarakat Vol. 2 No. 3 (2021): Volume 2 Nomor 3 Tahun 2021
Publisher : LPPM Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/mahajana.v2i3.1228

Abstract

English as a lingua Franca has special attention for people or children to learn the skill including for children and young people in Ungga village. It is because the language is one of the tools to communicate with other people such as for education, business, tourism, politics, and other sectors. Ungga has a good potency to be developed in promoting the village to be one of the tourism places in central Lombok because it is near to the Mandalika spots. Consequently, human resources are needed to be prepared related to the knowledge and the skills. One of the ways to achieve the goals is providing English training either for young people or for children. Teaching English has numerous challenges. However, designing collaborative learning with some games would encourage them in learning. Children enjoy playing games both online or offline with peers or friends so that collaborative learning by designing a fun concept is one of the effective ways to teach and learn English. Several games were provided such as guess voices, mix, and match, and Find Friends. Besides, partnership among universities, village officers, and communities is crucial to maintaining sustainability so that the university collaborated with one of the communities in the village “Jage Kestare Foundation” to conduct the activity. Teaching English learning goal is not only for learning English but also incorporating gender equality values in the teaching and learning process through materials and activities. The results of the community service activity are that the learners become more active in learning English and more aware of gender equality values. It is expected that by empowering the women and children in the village through learning English by incorporating gender values, it will be able to empower the communities particularly for women and children, and to gain revenue-generating.
E-Alert Application in Facing Earthquake Disaster Apriani Apriani; Sandi Justitia Putra; Ismarmiaty Ismarmiaty; Ni Gusti Ayu Dasriani
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 19 No 2 (2020)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (709.738 KB) | DOI: 10.30812/matrik.v19i2.670

Abstract

Disaster is a phenomenon that has a destructive effect and arises with or without predictions that always accompany human life. This damaging impact can be in the form of loss of life and / or property loss so that it disrupts the natural and social order. Lombok is one of the islands in the group of islands in West Nusa Tenggara. The island of Lombok is flanked by two large faults, the Flores Back Arc Thrust (FBAT) which extends north of Nusa Tenggara to Bali and Megathrust on the south of Lombok. Seeing from the great potential of earthquake disasters that can occur at any time on the island of Lombok, it is necessary to prepare disaster mitigation well in order to minimize the impact of earthquake disaster risk. From the problems outlined, the researchers plan to create a mobile-based earthquake e-standby application. This study aims to create a mobile-based earthquake e-alert application that can be used to view the latest earthquake information, information for determining the nearest evacuation location and educational media related to earthquake disaster awareness. The stages of the research use the prototype development method with stages, namely the study of literature, collection of needs, data collection, needs analysis, design, prototype implementation, prototype evaluation, implementation and testing and conclusions. The conclusion of this research is the construction of a mobile-based earthquake e-alert application. This application is useful for improving, understanding and public awareness of the risk of earthquake disasters and as an educational media to create disaster resilient communities
Pengembangan Sistem Aplikasi Cerdas Memprediksi Penjualan Mebel Berbasis website Ni Gusti Ayu Dasriani; Anthony Anggrawan
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 1 (2021)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (744.069 KB) | DOI: 10.30812/matrik.v21i1.1276

Abstract

Industri mebel di Indonesia merupakan usaha yang memiliki laju perkembangan sangat pesat. Konsumen memilih menggunakan mebel hasil dari industri karena mebel produksi industri memiliki inovasi disain yang indah. Mebel berperan juga sebagai sumber pemasukan keuangan negara di Indonesia terutama penjualan kepada konsumen negara lain. Karenan terjadi kompetisi yang begitu ketat antar industri mebel, keadaan ini berimplikasi produsen mebel berusaha secara ketat dalam menciptakan produksi yang bermutu dan memenuhi selera konsumen. Permasalahannya adalah produsen masih mengelola data atau mendapatkan informasi hasil produksi dalam system manual. Karenanya tujuan dari penelitian ini adalah membangun sistem aplikasi komputer cerdas website untuk memprediksi penjualan mebel. Perancangan dan pembuatan system ini menggunakan metodologi Waterfall. Metode yang digunakan untuk mengklasifikasi data penjualan barang mebel dengan metode K-Nearest Neightbor (KNN). KNN merupakan metode untuk mengektraksi data mining yang bisa berguna dalam prediksi penjualan. Hasil yang dicapai yaitu dihasilkannya system prediksi penjualan barang dan juga laporan prediksi penjualan barang dalam bentuk lembar kerja (Spreadsheet) sehingga membantu pimpinan perushaan dalam usahanya. Kesimpulan dari penelitian yang dilakukan menggunakan metode KNN cocok digunakan untuk mengklasifikasi data penjualan barang mebel. Hal ini tersebut dibuktikan dengan tingkat akurasi yang mencapai 90% pada proses pengujian menggunakan confussion matrik.
Klasterisasi Lokasi Promosi PMB Dengan Fuzzy C-means Masa Pandemi Covid 19 Ni Gusti Ayu Dasriani; Mayadi Mayadi; Anthony Anggrawan
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 2 (2022)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (425.109 KB) | DOI: 10.30812/matrik.v21i2.1832

Abstract

Pandemi Covid-19 saat ini merupakan bencana besar bagi global, covid 19 merupakan penyakit yang sangat merugikan dan memiliki dampak negative bagi global, resiko yang diakibatkan oleh Pandemi Covid-19 tidak hanya berpengaruh pada aspek kesehatan, tetapi juga berpengaruh pada berbagai lini kehidupan seperti dampak PHK dan merumahkan pekerja. Bukan hanya berdampak sektor ekonomi, transportasi dan pertanian, Pandemi Covid-19 ini sangat merugikan bagi dunia pendidikan. Selama pandemi covid 19 penurunan pendaftaran sangat berdampak terhadap dunia Pendidikan sehingga diperlukan strategi untuk bisa memancing minat calon mahasiswa untuk mendaftar. Berdasarkan permasalahan tersebut peneliti mencoba melakukan penelitian terkait strategi promosi di tengah pandemi covid 19 untuk menarik minat calon mahasiswa untuk mendaftar ke universitas. Metode yang digunakan menggunakan metode Fuzzy C-means dengan proses pembobotan menggunakan RFM (Recency, Frequency, Monetary). Dari hasil evaluasi dengan data pemetaan didapatkan peningkatan pendaftar dimana untuk tahun 2020 pendaftar sebanyak 365 dan untuk tahun 2021 mengalami peningkatan sebanyak 1169 pendaftar.
Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan dengan Metode AHP dan Pembobotan Fuzzy Apriani Apriani; I Gde Dharos Santana Dharma; Mayadi Mayadi; Ni Gusti Ayu Dasriani
Jurnal Bumigora Information Technology (BITe) Vol 4 No 1 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i1.1915

Abstract

Proses perekrutan karwayan merupakan salah satu kegiatan rutin yang dilakukan oleh sebuah perusahaan dalam memenuhi salah satu target dan capaiannya.Oleh karena itu proses perekrutan yang obyektif, transparan serta profesional harus dilakukan demi pemenuhan sumber daya manusia yang sesuai dengan kriteria yang dibutuhkan.Namun hal ini terkadang tidak sesuai dengan harapan sehingga perusahaan merasa kesulitan dalam menempatkan karyawan sesuai yang dibutuhkan.Penelitian ini menggunkan metode Analytical Hierarchy Process dengan tahapan analisis kebutuhan,desain sistem,implementsi dan pengujian. Jumlah data yang digunakan pada penelitian ini adalah 140 data. Dari data tersebut dilakukan perhitungan oleh sistem dan didapatkan 115 data penerima beasiswa dengan tingkat akurasi sebesar 94,07%. Kebaharuan dari sistem ini adalah sudah menggunakan sistem yang terintegrasi dengan database, sehingga data akan menjadi lebih aman, proses perangkingan juga akan menjadi lebih cepat karena dengan adanya sistem ini pengambil keputusan akan langsung mendapatkan hasil perangkingan dari sistem, dan di sistem ini juga menggunakan 2 metode yang berbeda sehingga hasil seleksi dapat lebih akurat. Tujuan penelitian menghasilkan sebuah Sistem Penerimaan Karyawan dengan menerapkan metode AHP dan Fuzzy di dalamnya sehingga memudahkan pihak HRD dalam pengambilan keputusan seleksi karyawan,mempercepat waktu dalam pengambilan keputusan dan menilai calaon-calon yang akan direkrut menjadi lebih akurat dan efisien
Cluster Analysis Based on McKinsey 7s Framework in Improving University Services Deny Jollyta; Dwi Oktarina; Gusrianty; Renita Astri; Lina Arliana Nur Kadim; Ni Gusti Ayu Dasriani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2005.51 KB) | DOI: 10.59934/jaiea.v1i1.45

Abstract

The epidemic of Covid-19 has impacted all aspects of human life, including education. Academic and administrative services for academic community are suffering, as a result of the fact that not all universities are able to provide online services to help break the chain of Covid-19 distribution. This is due to a lack of human competencies to use technology and a lack of information technology resources, necessitating the development of new strategies by universities to address these flaws. The goal of this study is to develop a university service strategy based on McKinsey 7s cluster results on the part that is having issues based on questionnaire data. The questionnaire is organized on seven McKinsey elements. The Manhattan distance calculation and the K-Medoids algorithm results demonstrated that the structure, system, skill and staff are all part of elements that clustered in k=2 and has to be addressed in aiding services during the Covid-19 pandemic. The McKinsey 7s showed that universities service enhancements may be achieved by combining clustering techniques and McKinsey framework.
Penerapan Strategi Pemasaran dalam Meningkatkan Omset Penjualan Jajanan Lokal UMKM di Kota Mataram Rini Anggriani; Anthony Anggrawan; Gusti Ayu Dasriani; Raden Bagus Faizal Irani Sidharta; Dafa Awanta; Jean Suciasti Gunawan
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 3 No 1 (2022): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v3i1.2120

Abstract

The Micro, Small and Medium Enterprises (MSME) sector is one of the important sectors as the main support for the community's economy.However, the Covid-19 event had a significant impact on this sector.Indeed, Covid-19 has subsided, but the impact of this phenomenon is still affecting all sectors, one of which is the Micro, Small and Medium Enterprises (MSME) sector. This service program is carried out on local snack products in the city of Mataram with the target of helping increase sales turnover of The Micro, Small and Medium Enterprises (MSME) products through optimizing the application of mix marketing strategies. The method used is a qualitative descriptive approach with data processing techniques using triangulation.The results of this service show that the application of the marketing mix marketing strategy that is carried out can have a positive and effective impact on increasing the sales turnover of The Micro, Small and Medium Enterprises (MSME) products in the city of Mataram.
Co-Authors . Apriani Anggarawan, Anthony Anthony Anggrawan Apriani Apriani Bintang Rizki Maulana Dadang Priyanto Dafa Awanta Deny Jollyta Dewi, Puspita Diah Supatmiwati Dwi Oktarina Dyah Susilowati Erwin Suhendra Felicia Natalie Fedrich Fitra Rizki Ramdhani Gusrianty Gusrianty Hairani Hairani Helna Wardhana Herawati, Baiq Candra I Gde Dharos Santana Dharma I Made Yadi Dharma Ibrahim, Isra Dewi Kuntary Irwan Cahyadi Ismarmiaty Jean Suciasti Gunawan Juvinal Ximenes Guterres Kadim, Lina Arliana Nur Kartarina, Kartarina Khairan marzuki Khairunnisa khairunnisa Khasnur Hidjah Khasnur Hijjah Mayadi Mayadi Mayadi Mayadi Muhammad Zulfikri Nurul Hidayah Pariandi, Lalu Ahmad Gede Raden Bagus Faizal Irani Sidharta Raden Bagus Faizal Irany Sidharta Raden Bagus Faizal Irany Sidharta Renita Astri Rini Anggriani Rini Anggriani Riyana Rizki Yuliatin Sandi Justitia Putra Sandi Justitia Putra Sirojul Hadi Siti Soraya Syahrir, Moch. Triwijoyo, Bambang Krismono Wiya Suktiningsih