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PERFORMANCE EVALUATION DECISION SUPPORT SYSTEM USING THE LECTURER ANALITYCAL HIERARCHY PROCESS (CASE STUDY: STMIK DHARMA WACANA METRO) Nurdiyanto, Heri; Vem, Envermy
244-5567
Publisher : IBI Darmajaya

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Abstract

To be continued competitive with competitors, STMIK Dharma Wacana continues to improve the quality. One of the efforts is to improve the quality of faculty performance, by assessing a lecturer for the Tri Dharma University and Personality. Referring to the faculty priorities, STMIK Dharma Wacana assessing academic performance of faculty of year by using Key Performance Indicators to determine a lecturer with the best quality and ability that will ultimately affect the determination of the faculty with the best performance. Constraints faced is the lack of information systems that can specifically provide support for decision-makers, namely the Chairman STMIK Dharma Wacana and management, making it difficult generate optimal decision. For data analysis, this study using descriptive analysis techniques and instruments used to determine policy priorities, namely Analytic Hierarchy Process (AHP), and in this study proposed a decision support information system or Decision Support System (DSS). The results of data processing in mind that the criteria Tridarma Higher Education and Personality. Affecting the determination of the performance of lecturers teaching each year. The results are then simulated through a hierarchical method. Of the hierarchy then made a decision support system in terms of determining the lecturer with the best performance that will teach certain subjects in each teaching.  Keywords: Key Performance Indicators, Analytic Hierarchy Process, Decision Support Systems, Lecturer performance.
Signature recognition using neural network probabilistic Nurdiyanto, Heri; Hermanto, Hermanto
International Journal of Advances in Intelligent Informatics Vol 2, No 1 (2016): March 2016
Publisher : Universitas Ahmad Dahlan

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Abstract

The signature of each person is different and has unique characteristics. Thus, this paper discusses the development of a personal identification system based on it is unique digital signature. The process of preprocessing used gray scale method, while Shannon Entropy and Probabilistic Neural Network are used respectively for feature extraction and identification. This study uses five signature types with five signatures in every type. While the test results compared to actual data compared to real data, the proposed system performance was only 40%.
IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN Hayati, Soraya Rahma; Mesran, Mesran; Zebua, Taronisokhi; Nurdiyanto, Heri; Khasanah, Khasanah
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

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Abstract

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR
Application Of Weight Sum Model (WSM) In Determining Special Allocation Funds Recipients Handoko, Dikki; Mesran, Mesran; Nasution, Surya Darma; Yuhandri, Yuhandri; Nurdiyanto, Heri
The IJICS (International Journal of Informatics and Computer Science) Vol 1, No 2 (2017): September 2017
Publisher : The IJICS (International Journal of Informatics and Computer Science)

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Abstract

In the management of education is not uncommon educational institutions sometimes receive sources of funds from outside, one of which comes from the Department of Education in the implementation of its duty to provide one allocation of funds called Special Allocation Fund (DAK). This assistance is from APBN revenues to areas devoted to schools to help fund special activities such as the addition or improvement of school facilities and infrastructure. The application of this special allocation grantee needs to use a Decision Support System (CMS) to allow decisions to be generated in favor of the DAK beneficiary. In the application of SPK required MCDM method, the Weight Sum Model (WSM), which is a simple method and able to generate ranking from the proposer alternatives in a special allocation fund.
Implementasi Pendukung Keputusan Dalam Pemilihan Calon Peserta Cerdas Cermat Tingkat SMA Menerapkan Metode VIKOR Sutrikanti, Nidia; Situmorang, Hotmelinsa; Fachrurrazi, Fachrurrazi; Nurdiyanto, Heri; Mesran, Mesran
JURIKOM (Jurnal Riset Komputer) Vol 5, No 2 (2018): April 2018
Publisher : P3M STMIK Budi Darma

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Abstract

Improving the quality of human resources that can be done with intelligent organizing carefully at the level of Senior High School. In order for the participant to follow intelligently, every participant should not only have the achievement and general knowledge but also must have experience in following smartly done before. In this case, both Teachers and Principals are constrained in the selection of such discerning participants. For that with the use of a computer-based information system can reduce the constraints in the selection of intelligent participants carefully. Decision support system is a computer-based system that can assist decision makers in generating decisions, by applying method methods, then the results are given on the DSS more effective and efficient
Sistem Pendukung Keputusan Penerimaan Jurnalis Menerapkan Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) Muharsyah, Aldi; Hayati, Soraya Rahma; Setiawan, M Ikhsan; Nurdiyanto, Heri; Yuhandri, Yuhandri
JURIKOM (Jurnal Riset Komputer) Vol 5, No 1 (2018): Februari 2018
Publisher : P3M STMIK Budi Darma

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Abstract

Decision support systems are part of computer-based information systems (including knowledge-based systems) that are used to support decision making within an organization or company. The decision support system provides a semi-structured decision, where no one knows for sure how decisions should be made. Recruitment of employee recruitment in PT.Waspada Medan always through some tight selection before set accepted as employees at PT.Waspada Medan. There are several criteria that must be owned by each participant as a requirement to become an employee of PT.Waspada Medan. To get the best participants then the PT.Waspada Medan requires a decision support system. In this study, the authors apply Multi-Objective Optimization on the basis of Ratio Analysis (MOORA Method) as the method to be applied in the application of decision support system.
IMPLEMENTASI DATA MINING UNTUK PENGATURAN LAYOUT MINIMARKET DENGAN MENERAPKAN ASSOCIATION RULE Maharani, Maharani; Hasibuan, Nelly Astuti; Silalahi, Natalia; Nasution, Surya Darma; Mesran, Mesran; Suginam, Suginam; Sutiksno, Dian Utami; Nurdiyanto, Heri; Buulolo, Efori; Yuhandri, Yuhandri
JURIKOM (Jurnal Riset Komputer) Vol 4, No 4 (2017): Agustus 2017
Publisher : P3M STMIK Budi Darma

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Abstract

Istilah data mining sudah berkembang jauh dalam mengadaptasi setiap bentuk analisa data, penelitian ini berupaya mengembangkan strategi bisnis penyusunan layout produk yang disesuaikan dengan pola pembelian pelanggan di indomaret. Salah satu teknik data mining yang digunakan untuk merancang strategi penyusunan layout produk yang efektif dengan memanfaatkan data transaksi penjualan yang telah tersedia di perusahaan dengan menggunakan metode association rule. Teknik ini dapat menemukan pola berupa produk-produk yang sering dibeli secara bersamaan. Penelitian ini bertujan untuk menerapkan associstion rule kedalam penyusunan layout produk. Dari rule yang dihasilkan harapkan dapat membantu perusahaan memudahkan dalam penyusunan layout produk.