Article Per Year (5 Year)
p-Index From 2020 - 2025
1.037
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Sistem Informasi Jurnal Komtika (Komputasi dan Informatika)
Siregar, Gunayanti Kemalasari
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Sistem Pendukung Keputusan Pemilihan Indekost Pemuda Dengan Menggunakan Metode Simple Additive Weighting (Saw) Siregar, Gunayanti Kemalasari; Susanto, Lilik Joko
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 1 No. 2 (2022): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v1i2.3173

Abstract

Housing development for youth is currently the main priority because boarding houses are considered ideal and practical places to choose a place to live. The number of enthusiasts who choose boarding houses for housing is due to many considerations, including cost, facilities, and strategic location. Due to these considerations, many young boarding houses choose suitable temporary housing. A Decision Support System (DSS) is a technique that can solve a problem in semi-systematic and non-systematic terms. This decision support system will later be made using the Simple Additive Weighting (SAW) method with the hope of solving the problems experienced by students. The author's research steps are determining criteria and alternatives, collecting data from questionnaires distributed to students, carrying out calculations, and ranking alternatives. From the calculation results, it is obtained that Kost2 is the best alternative.
PERANCANGAN APLIKASI PENGAJUAN PENERIMA BANTUAN KESEJATERAAN SOSIAL BERBASIS WEB PADA DINAS SOSIAL KOTA METRO Siregar, Gunayanti Kemalasari; Widodo, Suyud
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 2 No. 1 (2023): MARET
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v2i1.4208

Abstract

The Social Service is a government institution that is given the mandate to regulate community welfare in accordance with Law no. 11 of 2009 concerning Social Welfare. The field of filing beneficiaries is one of the problems handled by the Social Service. Types of community assistance include Staple Food, Family Hope Program (PKH), Direct Cash Assistance (BLT) with certain conditions. With the number of beneficiaries currently totaling 9,205 Family Cards, processing of data on receiving assistance still utilizes data processing using Microsoft Excel. Where data processing using Microsoft Excel has drawbacks, including application users who must really understand the function, formula or logic, then if the user enters the formula incorrectly, the resulting data will be affected, besides that there will be many documents produced that are less stable for each version and for files with the latest version of Microsoft Excel requires a computer with medium to high specifications. Based on these problems, a special data processing application is needed for data on recipients of web-based social welfare assistance. The application aims to facilitate the work of service staff in the social welfare submission section in preparing recapitulation reports and reports on the list of people who will receive assistance at the Metro City Social Service.
IMPLEMENTASI METODE WEIGHTED AGGREGATED SUM PRODUCT ASSESSMENT (WASPAS) UNTUK PENERIMAAN BEASISWA DI PONDOK PESANTREN XYZ Siregar, Gunayanti Kemalasari; Widodo, Suyud
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 2 No. 2 (2023): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v2i2.4893

Abstract

Setiap Lembaga Pendidikan baik Pendidikan formal maupun non-formal selalu mempunyai visi dan misi yang berorientasi pada lulusan yang cerdas, unggul dalam prestasi dan wawasan. Untuk mewujudkan hal tersebut, setiap Lembaga pendidikan perlu melakukan evaluasi, meningkatkan pelayanan kepada siswa terkait teknik pengajaran, penilaian, penjaminan mutu agar lembaga pendidikan menjadi lembaga yang berdaya saing, bermutu, dan berprestasi. Tak terkecuali pada Pondok XYZ yang terletak di Batanghari, Lampung Timur. Guna mendukung dan memotivasi para santri, Pondok Pesantren XYZ berupaya untuk memberikan beasiswa kepada santri yang berprestasi. Beberapa permasalahan muncul ketika pemilihan dilakukan secara manual, seperti memakan waktu lama dan kriteria yang digunakan banyak. yang berpartisipasi juga banyak, dan penilaian dari panitia bisa saja subjektif. Untuk membantu pihak pesantren mempermudah dalam pemilihan, digunakan sistem pendukung keputusan. Dalam penelitian ini metode Weighted Aggregated Sum Product Assessment (WASPAS) digunakan untuk membantu mengambil keputusan. Metode Weighted Aggregated Sum Product Assessment (WASPAS) merupakan gabungan metode Weighted Sum Model (WSM) dan Weighted Product Model (WPM). Berdasarkan dari penelitian yang telah dilakukan, maka dapat diperolah kesimpulan bahwa dengan menerapkan metode WASPAS untuk Pengambilan suatu keputusan dapat membantu dan mempermudah semua panitia yang terlibat dalam proses seleksi penerimaan beasiswa karena dengan menggunakan sistem pendukung keputusan dapat memperkecil kesalahan untuk pengambilan suatu keputusan.
Sistem Pendukung Keputusan Strategi Pemasaran UMKM menggunakan metode Complex Proportional Assessment (COPRAS) Hera Fransiska; Siregar, Gunayanti Kemalasari
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.10430

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are pivotal to Indonesia's economy but face significant challenges in devising effective marketing strategies. This research aims to develop a decision support system to assist MSMEs in determining optimal marketing strategies. The study employs the Complex Proportional Assessment (COPRAS) method, selected for its capacity to proportionally evaluate alternatives against a set of benefit and cost criteria. The system was developed by integrating five main criteria: promotional costs, market reach, sales levels, customer satisfaction, and media effectiveness. Five alternative strategies were evaluated. The social media digital marketing strategy achieved the highest ranking with a utility value of (98.76%). The customer loyalty program (90.57%) and marketplace marketing (83.38%) were the next best-performing alternatives.The proposed decision support system offers objective and measurable recommendations, which enhances the effectiveness of marketing decision-making and supports MSME competitiveness in the digital age. Keywords: Decision support system, COPRAS, Marketing strategy, MSME, Multi-criteria decision making
Pengembangan Sistem Pendeteksi Gangguan Spektrum Autisme dengan Menggunakan Metode Certainty Factor Wulandari, Ika Arthalia; Siregar, Gunayanti Kemalasari
Jurnal Komtika (Komputasi dan Informatika) Vol 8 No 1 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v8i1.11399

Abstract

Autism Syndrome Disorder is a multifaceted developmental disorder of mental function with symptoms of impaired communication, social interaction, and distinctive behavioural patterns. A person with Autism Syndrome Disorder cannot form normal social relationships or communication. They have their world. This condition causes them to be isolated from the surrounding environment. Because the main problem faced in Indonesia is the misdiagnosis of autistic children as mentally retarded, so they cannot get the necessary treatment that allows these children to live like normal children. The diagnosis of autism is considered a big problem because the symptoms are easily confused with those of mental retardation. Diagnosis is one of the most challenging and complex problems due to the lack of specialist doctors who can diagnose it scientifically, resulting in misdiagnosis or neglect of autism in the early stages of a child's life, which leads to difficulties in intervention later in life. Successful intervention requires a correct diagnosis. Diagnosing autism disorders manually requires a specialist doctor, making this system have many shortcomings and weaknesses. Therefore, applying an expert system can help diagnose autistic disorders in patients. This expert system will be able to diagnose and obtain accurate results. Based on the results of system testing that has been carried out, it was found that of the 12 cases tested using the expert system, there was 1 case that should have had autism. However, the system diagnosed it as harmful, and 1 case should not have had autism, but the system diagnosed autism. So, it can be concluded that the system's accuracy rate for diagnosing autism is 83%
Co-Authors Hera Fransiska Ika Arthalia Wulandari, Ika Arthalia Susanto, Lilik Joko Suyud Widodo, Suyud