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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) TECHSI - Jurnal Teknik Informatika
Poningsih Poningsih
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Other

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SISTEM PENDUKUNG KEPUTUSAN PENENTUAN RANKING KENAIKAN GAJI STAFF DAN KARYAWAN Poningsih Poningsih
TECHSI - Jurnal Teknik Informatika Vol 11, No 2 (2019)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v11i2.1278

Abstract

AbstrakSaat ini AMIK dan STIKOM Tunas Bangsa memiliki kurang lebih 100 orang pegawai (staff dan karyawan). Masing-masing pegawai memiliki gaji yang berbeda dan beragam. Setiap tahun nya, manajemen AMIK dan STIKOM Tunas Bangsa memberikan kenaikan gaji kepada para pegawainya. Tetapi jumlah kenaikan nya sangatlah beragam. Sistem pendukung keputusan ini nantinya akan memberikan rekomendasi kepada pihak manajemen berupa perankingan kinerja dari pegawai. Ada beberapa factor yang digunakan didalam sistem pendukung keputusan ini, antara lain masa kerja, pendidikan dan kinerja. Metode yang digunakan adalah Multi-objective Optimization on The Basis of Ratio Analysis (MOORA). Dimana kelebihan MOORA adalah memiliki tingkat selektifitas yang baik karena dapat menentukan tujuan dari kriteria yang bertentangan. Kata Kunci: Sistem Pendukung Keputusan, Perankingan, Gaji Pegawai, rekomendasi, MOORA.
PENGELOMPOKKAN PADA KENDARAAN BERMOTOR MENURUT KEGUNAANNYA MENGGUNAKAN METODE DATA MINING K-MEANS Windayani Pulungan; Poningsih Poningsih; Heru Satria
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1687

Abstract

This study aims to look for the grouping of data in motor vehicles according to their use. The types of motorized vehicles in this study are ranging from motorbikes, cars, public transportation, taxis, public transportation, buses, and pick ups. In this case we need a method that can classify vehicle data according to its use. This research was conducted in Pematangsiantar and used the K-Means Data Mining method. K-Means method tries to group existing data into several groups, where data in one group has the same characteristics with each other and has different characteristics from the data in other groups. The highest cluster with the number of motorized vehicle data according to its use is 7 vehicles, namely, 3 wheels, Taxi, public transportation, Bus (public transportation), Truck / Pick Up (public transportation), Car, Truck / Pick Up (private transportation).Keywords: Data Mining, K-Means Method, Grouping of Motorized Vehicles.
DENGAN MENGGUNAKAN METODE AHP (ANALYTICAL HIREARCHY PROCESS) MENENTUKAN OBAT SARIAWAN YANG PALING BANYAK DIMINATI MASYARAKAT Leon Deon; Poningsih Poningsih; Jalaluddin Jalaluddin
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1636

Abstract

Many hot medicine products are marketed to the public. Because many products are marketed, making people confused in choosing the best hot medicine in the best. Hot medicine in the most popular community means that the drug is the best medicine for the community. In this research, there are two main problems in the research that can be formulated, namely whether the use of the AHP method can make the decision to determine the heat medication in the most popular community and how to look for a hot medicine decision in the most popular community. Analytic Hierarchy Process (AHP) method is used to find the ratio scale, both from discrete and continuous pair comparisons. AHP decomposes complex multi-factor or multi-criteria problems into a hierarchy. Hierarchy is defined as a representation of a complex problem in a multi-level structure where the first level is the goal, followed by the level of factors, criteria, sub-criteria, and so on down to the last level of alternatives.Keywords: Decision Support System, Analytic Hierarchy Process Method, Internal Medicine
IMPLEMENTASI METODE ELECTRE UNTUK MENENTUKAN KELAYAKAN PEMBERIAN KREDIT SEPEDA MOTOR PADA PERUSAHAAN LEASING Dinil Lativa; Poningsih Poningsih; Jalaluddin Jalaluddin
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1689

Abstract

Leasing companies are financing equipment or capital goods that are used for the production process of a company, both directly and indirectly. Financing through leasing is a very simple financing in the procedures and implementation and therefore leasing that is used as an alternative payment seems more attractive. As an alternative source of capital financing for companies, especially in the credit analyst section. In credit-worthy consumer decision-making activities, a computer-based system model that can provide data analysis, calculation of criteria for credit applicants, and help processing data into information to make decisions from the semi-structured problem is needed. A decision system (DSS) is the right choice to help select credit applicants. The system is designed with the Elimination and Choice Translating Reality (ELECTRE) method which is one of the multi criteria calculation methods based on the outrangking concept map by using paired comparisons of other alternatives based on each criterion. The data used in this paper are in the form of alternative data samples, criteria data, criteria weight, and suitability rating for each alternative to the criteria.Keywords: ELECTRE, Credit Analyst ,Kredit, Leasing
ANALISIS FAKTOR YANG MEMPENGARUHI MINAT MAHASISWA BERWIRAUSAHA DENGAN METODE ELECTRE II Laila Safitri; Poningsih Poningsih; Jalaluddin Jalaluddin
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1690

Abstract

This study aims to determine the most fundamental factors in influencing student interest in entrepreneurship at Pematangsianta. The method used in decision making is the ELECTRE II method. Which will be implemented into vb net 2010. Based on the research results obtained by Capital (A3) as rank 1, It is hoped that this research will provide input and convenience to the education parties in knowing what fundamental factors influence student interest in entrepreneurship.Keywords: Students, Interests, Entrepreneurship, SPK, Electre II.
Co-Authors Dinil Lativa Heru Satria Jalaluddin Jalaluddin Laila Safitri Leon Deon Windayani Pulungan