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All Journal SATIN - Sains dan Teknologi Informasi Jurnal Komputer Terapan Indonesian Journal of Artificial Intelligence and Data Mining Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Technopreneurship and Information System (JTIS) Jurnal Pengabdian Masyarakat Multidisiplin Journal of International Conference Proceedings
Luluk Elvitaria
Universitas Abdurrab
Aerospace Engineering Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Sistem Monitoring Kondisi Asset Berbasis Android salamun salamun; gianto Gianto; Luluk Elvitaria
JTIS: Journal of Technopreneurship and Information System Vol. 2 No. 3 (2019): Journal of Technopreneurship and Information System (JTIS)
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jtis.v2i3.513

Abstract

As a means of supporting the lecture process, the Abdurrrab University Informatics Engineering Study Program has a computer laboratory. But in monitoring its assets are still carried out conventionally. In the era of technology as it is today, this method is felt to be less effective. In addition to the problem of physical archives that require space and risk of losing files, data management is an important issue in this regard. To overcome this problem, we need an Android-based Laboratory Asset Monitoring System which data management is centralized to the database. In this Laboratory Asset Monitoring System, the admin can input data in the form of asset data and user data. The data inputted by the admin is then stored in a database and processed by the system into asset information such as asset life information and asset depreciation and user information. To calculate depreciation of assets, this system uses the Straight Line Depreciation Method. While laboratory personnel can check assets regularly to find out the current condition and status of assets. Asset checking data will also be saved to the database and can be called whenever needed.
Quick Response Code untuk Monitoring Kehadiran Kuliah Dosen Salamun; Sukri; Luluk Elvitaria; Liza Trisnawati
SATIN - Sains dan Teknologi Informasi Vol 6 No 1 (2020): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (729.735 KB) | DOI: 10.33372/stn.v6i1.585

Abstract

Kelas Bersama dosen merupkan salah satu fasilitas yang ada di Universitas Abdurrab Pekanbaru, kelas ini digunakan oleh dosen-dosen yang mengajar mata kuliah teori. Dalam aktifitas yang sedang berjalan sebelum adanya system absensi ini para dosen masih menggunakan absensi tertulis yang mana aktifitas ini tidak efisiean dikarenakan terjadinya antrian jika dalam jam yang sama terdapat jumlah dosen yang mengajar sangat banyak. Oleh karena itu dibuatlah sebuah system absensi dengan Quick Response code atau yang lebih dikenal dengan QR code. System yang di buat akan di integrasikan melalui peraangkat android dosen sehingga dosen tidak perlu mencetak QR code lagi, mereka cukup login pada aplikasi yang sudah terpasang pada perangkat android masing-masing dan aktifitas absensi ini dilakukan pada sebuah ruangan yang dinamakan ruang transit dosen, ruangan ini berfungsi sebagai ruang tunggu dosen, sebelum dose memasuki ruang kelas kuliah. Pada ruang transit dosen disediakan perangkat komputer yang sudah memiliki kamera yang berfungsi untuk membaca QR code pada saat absensi. Pada penelitian ini metode yang digunakan adalah analisis situasi dan analisis kebtuhan yang mana sebelum membuat aplikasi ini dibutuhkan data berupa aktifitas mengajar dosen dan laporan kehadiran pada setiap perkuliahan.
Artificial Intelligence Automatic Speech Recognition (ASR) untuk pencarian potongan ayat Al-Qu’ran Salamun Salamun; sukri sukri; Khairul Amin; Luluk Elvitaria; Liza Trisnawati
Jurnal Komputer Terapan  Vol. 8 No. 1 (2022): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (586.193 KB) | DOI: 10.35143/jkt.v8i1.5299

Abstract

Indonesia is a country with the largest number of Muslims in the world, who read verses of the Qur'an often heard in various public places such as mosques, prayer rooms, and at various activities. Utilization of Automatic Speech Recognition (ASR) as word recognition which aims to find out the verses of the Qur'an that are read to increase knowledge about the verses and other supporting information as a means of preaching in conveying knowledge about the verses of Al-Qur'an. Al-Qur'an. Automatic Speech Recognitions (ASR) is designed using the Python programming language and uses the Django framework to display information about the verses that are read in the form of a web-based display. This research aims to create a technique and system for entering voice commands into machines, so that machines can understand what humans say and obey what they are told. This application converts data into text data using a voice recognition system automatically with a digital audio pattern of spoken words from a speech pattern computer model to produce the final output in the form of text that is stored in the database.
A Testing of Case-Base Reasoning for Covid-19 Patient Status Confirmation Salamun Salamun; Diki Arisandi; Luluk Elvitaria; Liza Trisnawati
Indonesian Journal of Artificial Intelligence and Data Mining Vol 4, No 2 (2021): September 2021
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v4i2.11990

Abstract

Currently, the world is facing a global pandemic that attacks all countries. In Indonesia, there are three types of status for suspected patients: asymptomatic person, Person Under Supervision, and Patient Under Supervision. The statuses are issued by a paramedic, conducting medical examinations or direct interviews with patients with several criteria. We conducted several non-medical experiments to assist medical personnel in determining the asymptomatic. We exploit the case-based reasoning (CBR) for determining the suspected patients, and the K-NN (K-Nearest Neighbor) for data grouping based on the level of similarity. The patients will be interviewed regarding their travel history, direct contact history, health status, and some other information for the past 14 days. This combination delivers the information of the similarity level from the given data and previous data. As a conclusion, the percentage level of similarity can be used by a medical officer to issue the status of patients and giving several recommendations to follow health protocols.
Keterlibatan Mahasiswa dan Akademisi dalam Pengabdian Masyarakat Menghadapi Pandemi Covid-19 Seri Hartati; Amir Syamsuadi; Luluk Elvitaria
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2021): April 2021, Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v5i2.5307

Abstract

Coronavirus (COVID-19) is an infectious disease caused by a new version of the coronavirus that was discovered at the end of 2019. Most of the disorders experienced by individuals infected with the COVID-19 virus will experience respiratory disease and most of them recover without requiring special treatment. Indonesia is currently hit by the Covid-19 pandemic. Various policies in prevention efforts have been carried out by the government, which have an impact many aspects of society. In Pekanbaru specially needs a lot of information related to Covid 19. Through Community Service in Simpang Tiga Village, Bukit Raya District, they can provide aid of information or other social aid which is a synergy of students and academics during the Covid 19 Pandemic, of course by following health protocol procedures. The results of this service are expected to assist the government and society as an effort to break the chain of spreading covid-19.
PENDAMPINGAN MODEL PROMOSI DIGITAL UMKM KERUPUK JANGEK PAK ALI PADA MASA NEW NORMAL DI KOTA PEKANBARU Debi Setiawan; Liza Trisnawati; Diki Arisandi; Luluk Elvitaria; Ira Puspita Sari
Jurnal Pengabdian Masyarakat Multidisiplin Vol 5 No 3 (2022): Juni
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v5i3.2395

Abstract

Untuk meningkatkan profit atau laba suatu usaha sangat diprioritaskan mempromosikan produk yang dihasilkan. Salah satu bentuk usaha yang sangat berkembang pesat di kota Pekanbaru saat ini adalah usaha kerupuk jangek. Kerupuk jangek Pak Ali adalah mitra tim pengabdi yang didampingi dalam penentuan model promosi dimasa new normal, dimana usaha beliau mengalami penurunan omset semenjak pandemi Covid-19. Beberapa permasalahan yang dihadapi adalah: 1. Turunnya omset penjualan kerupuk jangek pada masa covid 19, 2. Sulitnya dalam penentuan model promosi yang cocok dan menarik dalam penjualan produk. Tim pengabdi memberikan pendampingan model promosi selama satu bulan kepada usaha Kerupuk jangek Pak Ali dalam menghadapi masa new normal, diantaranya strategi membaca trend pasar, pemanfaatan platform media sosial, membangun image branding, dan promosi melalui aplikasi GOJEK. Setelah adanya pendampingan ini, usaha Kerupuk jangek Pak Ali sudah memiliki model promosi secara digital dan omset yang dihasilkan telah berangsur mengalami kenaikan hingga 40% dalam empat bulan terakhir.
A Model of Development Mitigation Disaster Based on Digital Eco-Tourism as a Prevention Effort of Forest and Land Fire Disaster Management Amir Syamsuadi; Diki Arisandi; Liza Trisnawati; Seri Hartati; Luluk Elvitaria; Ardian Adi Putra
Journal of International Conference Proceedings (JICP) Vol 5, No 2 (2022): BEFIC Conference Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v5i2.1749

Abstract

In 2020, one of the regencies in Riau, Siak, was the second-largest forest and land fire disaster area, which occurred by acute intercourse inspection (ISPA) patients, and reached 4321 suspected. The subject of this research was in Dayun District, Siak Regency, as a pioneering area to develop ecotourism based on disaster mitigation. The disaster mitigation system is an effort to minimize the impact caused by disasters caused by forest and land fires. Effective disaster mitigation has three main elements, namely hazard assessment, warning, and preparation. Ecotourism is a specific tourism activity that deliberates the environmental area and complies with the balance and preservation of nature principles. Ecotourism-based disaster mitigation efforts using the Penta helix model approach, namely strengthening synergy and collaboration of various related parties. The research was descriptive and qualitative by collecting the interview data by data triangulation techniques in describing the information authenticity. The results of this work showed that ecotourism-based disaster mitigation is conducted by utilizing a large and artificial pond called “embung”, as a rainwater reservoir, and also a natural public tourism facility. The government issues this policy by cooperating with Universities and companies through Corporate social responsibility (CSR) programs. Keywords: Disaster, Ecotourism, Mitigation, Forest, Synergy
Co-Authors Amir Syamsuadi Ardian Adi Putra, Ardian Adi Debi Setiawan Diki Arisandi gianto Gianto Ira Puspita Sari Khairul Amin Liza Trisnawati Salamun Salamun Seri Hartati Sukri Sukri