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All Journal International Journal of Advances in Intelligent Informatics jurnal Teknologi Informasi Magister International Journal of Artificial Intelligence Research KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Informatika dan Komputer Jurnal Pengabdian Dharma Wacana Journal of Research in Social Science and Humanities International Journal of Advanced Science and Computer Applications Jurnal Masyarakat Madani Indonesia Jurnal Alih Teknologi Sistem Informasi (JATSI)

Nurdiyanto, Heri

Pendidikan Teknologi Dan Kejuruan Universitas Negeri Yogyakarta

Author-ID : 545024

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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. Â Keywords: Key Performance Indicators, Analytic Hierarchy Process, Decision Support Systems, Lecturer performance.

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

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

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 : STMIK Budi Darma

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.

Signature recognition using neural network probabilistic Heri Nurdiyanto; Hermanto Hermanto
International Journal of Advances in Intelligent Informatics Vol 2, No 1 (2016): March 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v2i1.53

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 Soraya Rahma Hayati; Mesran Mesran; Taronisokhi Zebua; Heri Nurdiyanto; 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.905

Application Of Weight Sum Model (WSM) In Determining Special Allocation Funds Recipients Dikki Handoko; Mesran Mesran; Surya Darma Nasution; Yuhandri Yuhandri; Heri Nurdiyanto
The IJICS (International Journal of Informatics and Computer Science) Vol 1, No 2 (2017): September 2017
Publisher : STMIK Budi Darma

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 Nidia Sutrikanti; Hotmelinsa Situmorang; Fachrurrazi Fachrurrazi; Heri Nurdiyanto; Mesran Mesran
JURIKOM (Jurnal Riset Komputer) Vol 5, No 2 (2018): April 2018
Publisher : STMIK Budi Darma

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) Aldi Muharsyah; Soraya Rahma Hayati; M Ikhsan Setiawan; Heri Nurdiyanto; Yuhandri Yuhandri
JURIKOM (Jurnal Riset Komputer) Vol 5, No 1 (2018): Februari 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v5i1.566

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.

The problem of solid waste: origins, composition, disposal, recycling, and reusing Ibrahim Khalid; Sadiq Ullah; Iqbal Saeed Umar; Heri Nurdiyanto
International Journal of Advanced Science and Computer Applications Vol. 1 No. 1: March 2022
Publisher : Utan Kayu Publishins

Solid waste disposal is a major challenge in many industrialized and developing nations, both in metropolitan regions as well as rural ones. The collection and disposal of municipal solid waste (MSW) is a serious issue facing metropolitan areas in many nations today. An effective MSW management strategy must satisfy all of these criteria: financial viability; technical feasibility; social and legal acceptability; and ecological friendliness. Small and large cities alike have a major difficulty in dealing with solid waste management. One of the current study topics is the valuation of food organic waste. Existing waste disposal methods include the typical landfill, incineration, composting, and other methods of handling solid waste. Composting and anaerobic digestion have traditionally been the most widely employed methods for the treatment and exploitation of the organic part of MSW (AD). The amount of organic solid waste (OSW) being generated globally is rising at an astronomical rate. Agricultural waste, domestic food waste, human and animal wastes, etc. comprise the majority of OSW. They're often used as animal feed, disposed of in landfills, or burnt. OAWs are made up of protein-, mineral-, and sugar-rich components that may be employed as substrates or raw materials in other processes.

Data Mining Pengelompokkan Nilai untuk Menentukan Minat Mata Pelajaran pada Siswa SMA Negeri 1 Kota Gajah Irfan Setiawan; Heri Nurdiyanto
Jurnal Teknologi Informatika dan Komputer Vol 9, No 1 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i1.1352

Pilihan minat mata pelajaran Sekolah Menengah Atas merupakan usaha peningkatan kualitas pendidikan yang langsung berkenaan dengan siswa sebagai salah satu bagian dari peningkatan sumber daya mausia (SDM). Pemilihan minat mata pelajaran yang dilakukan selama ini mempunyai banyak kelemahan, antara lain berdasarkan keinginan siswa tanpa melihat latar belakang nilai akademisnya dan tidak ada acuan yang yang jelas untuk melakukan pengelompokkan data nilai siswa. Untuk menyelesaikan permasalahan tersebut, maka dibuat sebuah sistem pengelompokan nilai siswa pada pilihan minat mata pelajaran dengan menerapkan salah satu metode Clustering. Algoritma yang digunakan adalah Algoritma K-Means untuk mengidentifikasi objek yang serupa dengan memperhatikan beberapa kriteria. Dengan demikian hasil dari pengelompokan yang telah dirancang akan membantu pihak SMAN 1 Kota Gajah dalam proses pengelompokan nilai siswa untuk pilihan minat mata pelajaran yang sesuai dengan kriteria, sehinga pengelompokan dapat dilakukan lebih cepat, tepat dan akurat serta terhindar dari kesalahan.

Co-Authors A.A. Ketut Agung Cahyawan W Agus, Isnandar Aldi Muharsyah Apriyanto, Krisnanda Dwi Apsiswanto, Untoro Bellman, Francesco Budi Sutomo Darmono Dikki Handoko Edi Istiyono Efori Buulolo Ella Wulandari Envermy Vem, Envermy Fachrurrazi Fachrurrazi Fauzi, Chairani Febri Sugandi Galih Pranowo Hermanto Hermanto Hotmelinsa Situmorang Ibrahim Khalid Ilma, Awla Akbar Inas Ajeng Nur Afifah Iqbal Saeed Umar Irfan Setiawan Jeanette, Eva Kareem, Shahab Wahhab Kharismawati, Anisa Khasanah Khasanah M Ikhsan Setiawan M Said Hasibuan Maharani Maharani, Maharani Mesran Mesran Mesran, Mesran Mustaqim, Ilmawan Natalia Silalahi, Natalia Nelly Astuti Hasibuan Nidia Sutrikanti Noor Fitrihana Nova Suparmanto Nur Endah Januarti Ovchinnikova, Brooks Praptiwi, Wahyu Kharina Priyatno, Priyatno Rahman, Dzul Fadli Ridwan Yusuf Sadiq Ullah Singagerda, Faurani Santi Soraya Rahma Hayati Sri Lestari Sudaryono Sudaryono Suginam Sulistiyanto Sulistiyanto Surya Darma Nasution Susanto, Tofan Susetyaningsih, Ririn Sutiksno, Dian Utami Sven, Diaconescu Ada Syaputra, Muhammad Adie Taronisokhi Zebua Tri Aristy Saputri Usep Saprudin Widowati Pusporini, Widowati Yuhandri Yuhandri, Yuhandri

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