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All Journal AcTion: Aceh Nutrition Journal JIKA (Jurnal Informatika) Media Jurnal Informatika International Conference on Health Science, Green Economics, Educational Review and Technology (IHERT) The Indonesian Journal of Computer Science
Susilawati, Eva
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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ANDROID-BASED NATURAL DISASTER EVACUATION APPLICATION Susilawati, Eva; Saniah, lia; Sahrial, Rysa; Muslim, Buhori
International Conference on Health Science, Green Economics, Educational Review and Technology Vol. 4 (2022): International Conference on Health Science, Green Economics, Educational Review and T
Publisher : Universitas Efarina

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (578.167 KB) | DOI: 10.54443/ihert.v4i.209

Abstract

Cianjur Regency is an area that is in the crust of the Sunda plate, and is right above the very active Cimandiri fault and stretches from Palabuhan Ratu, Sukabumi, Cianjur, Bandung to Cirebon Regency. At any time a shift (earthquake) and other natural disasters can strike, this is very important because the vast area of Cianjur stretches from south to north bordering Bogor, Bandung, and Sukabumi so applications such as preparedness efforts need to be made so that evacuation and coordination run smoothly if the facilities are not supported, the application for natural disaster evacuation uses an application platform that is widely used. Research using the Scrum Process application development method which is part of the agile development method, based on Scrum this process has produced research products in the form of applications that can be used by the BPBD in coordinating and evacuating refugees caused by disasters. so that all possibilities such as assisting can be carried out on target, providing information on the loss of refugee family members can be minimized, and so on being able to help BPBD coordinate everything.
RECOGNITION OF FACE PATTERNS USING SINGULAR VALUE DECOMPOSITION TO IDENTIFY FRIENDSHIP RELATIONSHIP Muslim, Buhori; Susilawati, Eva; Saniah, Lia
International Conference on Health Science, Green Economics, Educational Review and Technology Vol. 4 (2022): International Conference on Health Science, Green Economics, Educational Review and T
Publisher : Universitas Efarina

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (578.469 KB) | DOI: 10.54443/ihert.v4i.210

Abstract

A system to recognize the faces of family members is the next generation of the system based on biometrics that we commonly encounter using facial patterns and characteristics as identification objects. This family member recognition system uses existing facial patterns in the database system as storage, then does a comparison with the tested image. The facial pattern recognition system has some problems, for example, difficulty in recognizing objects with different lighting levels in the process of taking the picture. To overcome the obstacles that occur due to variations in light levels was developed software by applying the singular value decomposition (SDV) method. The result of In this study, the application of facial pattern recognition is thought to have a relationshipkinship that is useful for identifying someone who is in the test image as well as displays a person's identity if a match is found with the sample on the application. In this study, the samples used were 100 facial images and 50 facial images of random humans, the resulting level of accuracy of this software is 92.8769% in recognizing patterns of kinship face, 60.1775% in matching the test image with the existing sample on the basis application data and 90.9567% when determining the identity of someone who is the same as databases.
APLIKASI PENGENALAN POTENSI DIRI DAN GAYA BELAJAR BERBASIS ANDROID Muslim, Buhori; Susilawati, Eva; Kuncoro, M Adi
Jurnal Informatika Vol 8, No 3 (2024): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v8i3.11516

Abstract

Setiap individu banyak yang belum mengetahui potensi yang ada pada dirinya dan memahami cara belajar masing-masing. Penelitian ini untuk memudahkan masyarakat umum dalam mengetahui potensi diri dan gaya belajar individu masing-masing. Pada penelitian ini dibangun suatu aplikasi yang mampu memudahkan masyarakat umum dalam mengetahui potensi dirinya dan cara belajar. Dimana software yang digunakan untuk membangun aplikasi yaitu Android Studio dan sqllite sebagai databasenya. Pada penelitian ini untuk mengetahui potensi dan gaya belajar individu menggunakan metode kokology2, dimana untuk gaya belajar yang hanya menggunakan bantuan smartphone saja. Hasilnya telah terbangun aplikasi pengenalan potensi diri dan gaya belajar yang bisa diimplementasikan untuk smartphone berbasis android.
Aplikasi Pendataan IPM Kabupaten Cianjur Menggunakan Metode Kanban Sahrial, Rysa; Muslim, Buhori; Susilawati, Eva
Media Jurnal Informatika Vol 16, No 2 (2024): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v16i2.4818

Abstract

Indeks pembangunan manusia (IPM) merupakan program kegiatan PBB untuk membuat klasifikasi terhadap suatu negara, apakah termasuk negara maju, berkembang atau terbelakang dan untuk mengukur kebijaksanaan ekonomi terhadap kualitas hidup, berdasarkan data BPS Jawa Barat 2023, Kabupaten Cianjur merupakan kabupaten dengan IPM terendah di Jawa Barat, ada pun penyebab IPM rendah di Cianjur adalah pendidikan, kesehatan dan ekonomi. Berdasarkan hal tersebut peneliti membangun aplikasi untuk mengidentifikasi masalah IPM dengan menggunakan Metode Pengembangan Sistem Kanban dengan pengujian menggunakan blackbox testing. Tujuan dari penelitian ini adalah  untuk mengurangi waktu siklus, optimalisasi penggunaan sumber daya dan pengingkatan produktifitas. Dari hasil implementasi menunjukan bahwa aplikasi ini mampu mengidentifikasi data rendahnya IPM sehingga bisa menjadi acuan pengambil keputusan dalam menentukan arah program pemerintah sehingga lebih mengena sesuai keperluan masyarakat sehingga IPM meningkat.
A Optimalisasi Pendataan Indeks Pembangunan Manusia Dengan Teknologi Digital: Meningkatkan Efisiensi, Akurasi, dan Berkelanjutan dalam Paradigma Sirkular Ekonomi Susilawati, Eva
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4302

Abstract

The Human Development Index (HDI) data collection is an essential process for measuring and monitoring the progress of human development in a country or region. With the shift towards increasingly integrated digital technology, the use of Android-based applications offers the potential to enhance efficiency and accuracy in the collection, analysis, and reporting of HDI data. This technology integration enables real-time and accurate data collection utilizing Geographic Information System (GIS) device sensors, thereby expanding accessibility for communities and stakeholders. The aim of this research is to improve operational effectiveness while positively impacting environmental and socio-economic sustainability. Integrating HDI data collection with a circular economy paradigm can also aid in identifying priority areas for sustainable development interventions. Based on the implementation results, practicality in the efficiency and accuracy aspects of application usage achieved 86%, categorized as "Very Practical". Therefore, these findings indicate that the developed application can enhance the optimization of HDI data collection in Cianjur Regency
Identification of nutrients and phytochemicals of raja banana (Musa acuminata) peels extracted with ethanol and acetone solvents and its potential as an anti-obesity agent Susilawati, Eva; Indarto, Dono; Susilawati, Tri Nugraha
AcTion: Aceh Nutrition Journal Vol 10, No 2 (2025): June
Publisher : Department of Nutrition at the Health Polytechnic of Aceh, Ministry of Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30867/action.v10i2.2483

Abstract

Banana peel is a waste that has the potential as an anti-obesity agent due to its nutritional and phytochemical content. This study aims to analyze and compare the content of macronutrients, micronutrients, and phytochemical compounds in raja banana peel extracts. The maceration method was performed during the preparation of extracts by using ethanol and acetone solvents. The nutritional and phytochemical contents of the extracts were compared to determine which solvent produced the optimum anti-obesity properties. The ethanol extract consists of water (17,68%), minerals (22,76%), protein (3,50%), carbohydrates (47,98%), and vitamin C (0,82%). The phytochemical content includes flavonoids (73,38 mgQE/g), tannins (0,32%), and chrysin (1,16 mg/L). In conclusion, the ethanol extract of Raja banana peel contains higher nutrients and phytochemicals than the acetone extract, showing greater potential as an anti-obesity agent. Further research is needed to test its bioactivity in vivo or in vitro.
Co-Authors Buhori Muslim Dono Indarto Kuncoro, M Adi Lia Saniah Rony, Zahara Tussoleha Sahrial, Rysa Tri Nugraha Susilawati