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All Journal Jurnal Informatika Jurnal Simetris Jurnal Informatika JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal technoscientia Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Computing and Modeling Jurnal Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Progresif: Jurnal Ilmiah Komputer Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Tekinkom (Teknik Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Teknik Informatika (JUTIF) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Papua IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Eduvest - Journal of Universal Studies Warta LPM Jurnal Sistem Informasi Jurnal Pendidikan Teknologi Informasi (JUKANTI) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)

Adi Nugroho

Universitas Kristen Satya Wacana

Author-ID : 2843679

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Social Sciences Other

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SISTEM PENDUKUNG KEPUTUSAN BERBASIS AHP (ANALYTICAL HIERARCHY PROCESS) UNTUK PENENTUAN KESESUAIAN PENGGUNAAN LAHAN (STUDI KASUS: KABUPATEN SEMARANG) Hartati, Sri; Nugroho, Adi
Jurnal Informatika Vol 6, No 2: Juli 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.425 KB)

Penentuan kesesuaian lahan (pemukiman, industri, kehutanan, rekreasi, serta tempat pembuangan limbah) di suatu daerah tertentu merupakan hal yang sangat memerlukan perhatian para pengambil keputusan baik di tingkat pusat maupun daerah. Berbagai parameter (misalnya jaringan jalan, kemiringan lereng, ketersediaan air, dan sebagainya) perlu dipertimbangkan secara seksama sehingga para pengambil keputusan bisa melakukan pengambilan keputusan yang berkualitas berkaitan dengan kesesuaian lahan. Dalam tulisan ini, kami memilih metoda AHP (Analytical Hierarchy Process) sebagai metoda yang akan digunakan sebagai basis pengambilan keputusan. Berkaitan dengan hal ini, SIG (Sistem Informasi Geografis) yang mampu melakukan visualisasi area geografis tertentu dapat digunakan sebagai sarana untuk menampilkan hasil perhitungan AHP ke layar monitor komputer atau ke dalam bentuk peta tercetak.

IMPLEMENTASI KOMPUTASI AWAN MENGGUNAKAN TEKNOLOGI GOOGLE APP ENGINE (GAE) DAN AMAZON WEB SERVICES (AWS) Nugroho, Adi; Mustofa, Khabib
Jurnal Informatika Vol 6, No 1: Januari 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.425 KB)

Interoperabilitas, dalam arti cara bagaimana suatu sistem yang memiliki platform perangkat keras dan perangkat lunak tertentu dapat berkomunikasi dengan sistem-sistem yang memiliki platform yang berbeda, mungkin merupakan bagian dari masa lalu. Di masa-masa yang akan datang, interoperabilitas yang selama ini ditangani secara manual oleh organisasi-organisasi/perusahaan-perusahaan akan ditangani langsung oleh vendor-vendor penyedia komputasi awan (cloud computing) yang memang memiliki sumberdaya-sumberdaya manusia (analis sistem, pemrogram, pakar jaringan), perangkat keras (komputer-komputer server yang berjumlah sangat banyak dan berkemampuan raksasa), serta perangkat lunak (sistem operasi, server aplikasi, server Web) yang memang memenuhi syarat untuk itu. Di masa yang akan datang, untuk mendapatkan layanan-layanan (service) dan tempat penyimpanan tertentu, organisasi-organisasi/ perusahaan-perusahaan tidak perlu berinvestasi terlalu tinggi untuk menyediakannya sendiri; mereka bisa saja menyewanya dari vendor-vendor komputasi awan yang saat ini mulai bermunculan. Google dan Amazon adalah para pendahulu dari teknologi komputasi awan (cloud computing) ini. Melalui tulisan ini, kita tidak akan membahas struktur internal keduanya secara rinci, melainkan kita akan mencoba membahas kelebihan serta kekurangan kedua vendor komputasi awan ini dari sudutpandang para manajer di bidang Teknologi Informasi yang akan melakukan investasi yang bermanfaat bagi organisasi/perusahaannya.

STUDI PERBANDINGAN PERBEDAAN KONSEPTUAL ANTARA SISTEM BASIS DATA RELASIONAL DENGAN SISTEM PENYIMPANAN DATA BERTIPE NON-RELASIONAL (NO-SQL) : EKSPLORASI PADA SERVER DATA CASSANDRA Nugroho, Adi; Winarko, Edi
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 6 No 1 Agustus 2013
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Relational database system (RDBMS-Relational Database Management System) is a database system that has a very strong mathematical foundation and has many advantages, so it is generally accepted by almost vendor. Basically, there is nothing 'wrong' with a relational database system. However, with the emergence of a variety of Web applications today that require the higher performance of query, relational data base system was showing the queries performance that do not fit the userâ€™s needs and expectations, because relational database system, for generate specific queries, often have to join data from two or more tables that relate. This process require relational database server to perform a data search (lookup) in the tables must be joined. These data searches require computing resources (processor performance and memory usage) that relatively high, so the performance of a relational database server typically decreasesas more data should be joined. This problems trying to be addressed by several vendor. Google with its BigTable, Amazon with its Dynamo, Yahoowith its PNUTS, and Facebook with its Apache Cassandra for example, using the non-relationaldata storage (Data Store) approach. The purpose of this paper is to introduce Apache Cassandra that is one of the very large non-relational systems, then compare to relational database systems.

PERBANDINGAN ANTARA â€œBIGâ€ WEB SERVICE DENGAN RESTFUL WEB SERVICE UNTUK INTEGRASI DATA BERFORMAT GML Nugroho, Adi; Mustofa, Khabib
Jurnal Informatika Vol 11, No 1 (2012): MAY 2012
Publisher : Institute of Research and Community Outreach - Petra Christian University

Web Service with Java: SOAP (JAX-WS/Java API for XML Web Services) and Java RESTful Web Service (JAX-RS/Java RESTful API for XML Web Services) are now a technology competing with each other in terms of their use for integrates data residing in different systems. Both Web Service technologies, of course, have advantages and disadvantages. In this paper, we discuss the comparison of the two technologies is a Java Web Service in relation to the development of GIS application (Geographic Information System) integrates the use of data-formatted GML (Geography Markup Language), which is stored in the system database XML (eXtensible Markup Language).

SISTEM PENDUKUNG KEPUTUSAN BERBASIS AHP (ANALYTICAL HIERARCHY PROCESS) UNTUK PENENTUAN KESESUAIAN PENGGUNAAN LAHAN (STUDI KASUS: KABUPATEN SEMARANG) Sri Hartati; Adi Nugroho
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 5 No 1 Agustus 2012
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v5i1.126

The determination of landsuitability (residential, industrial, forestry, recreation, and waste disposal sites) in a given area need the attention of decision makers at both the central and local levels. Various parameters (roads, slope, water availability, etc.) should be considered carefully so that decision makers can make a qualified decision-making. In this paper, we chose AHP (Analytical Hierarchy Process) as a method to be used as a basis for decision making. In this case, GIS (Geographical Information System) which is able to visualize a particular geographic area can be used show the AHP’s calculation results to a computer screen or in the printed maps.

Analisis Risiko Teknologi Informasi Menggunakan ISO 31000 pada Program HRMS Stefan Agustinus; Adi Nugroho; Ariya Dwika Cahyono
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 1 No 3 (2017): Desember 2017
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The HRMS program is the central database of all matters relating to Human Resources Development of PT. XYZ. The existence of HRMS program is very important for the sustainability of the company, especially in the employment sector. Therefore, this HRMS program should be able to run optimally and consistently. A risk analysis is required to obtain documentation of the various possible risks that are in the vicinity of the HRMS program and the risk treatment required to minimize the likelihood of these risks arising. Risk analysis used at PT. XYZ is ISO 31000. The first stage used in this research is the stage of risk assessment which consisting of 3 stages, namely risk identification, risk analysis, and risk evaluation. The second stage is the stage of risk treatment. The results of this research are used as a tool for the stakeholders of the company to be able to arrange documentation related to company risk management in the future.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v5i1.126

Comparative Study of Concepts and Implementation of Various Univariate Time Series Analysis Methods Adi Nugroho
Indonesian Journal of Computing and Modeling Vol 3 No 2 (2020)
Publisher : Pusat Studi Sistem Informasi dan Pemodelan Mitigasi Tropika

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

Univariate time series analysis is a very important method in everyday life because this method has many practical applications. Various methods of time series analysis have been previously discovered by experts. However, until now the experts have not been able to determine exactly which method is best implemented in certain time series data. In this paper we will make a comparison of the 8 (eight) time series analysis methods that are most often used, namely SMA, EMA, WMA, SES, Holt's Method, Holt's Winter Seasonal Method, ARIMA, and SARIMA, with the aim of providing guidance to readers to choose which method is most appropriate for a given time series data. Research for this was conducted using the same data for all methods.

Implementasi Model View Presenter dan Object Relational Mapping NHibernate pada Aplikasi eStop Card berbasis Web (Studi Kasus: PT. XYZ Jakarta) Alessandro Christoforus Baramuli; Adi Nugroho; Angela Atik Setiyanti
Jurnal Informatika Vol 8, No 2 (2012): Jurnal Informatika
Publisher : Universitas Kristen Duta Wacana

The development of technology has shown significant progress, especially in application architecture design pattern. Model View Presenter (MVP) pattern is one of the most important pattern used for extracting business logic outside of User Interface (UI) elements and by that enabling unit test without the need testing tools, and specifically geared towards for page event model in ASP.NET. Together with MVP, Object Relational Mapping (ORM) NHibernate is implemented to build a web base application. ORM is a technique to map an object to a database. It can be concluded that the implementation MVP and ORM to build a web base application resulting a well-performed and easily maintained application as well as it effectiveness when performing unit test, and also a clear separation layer between model, view, presenter.

Pemetaan Hasil Panen Padi di Jawa Tengah menggunakan Metode Poligon Thiessen Erni Erni; Adi Nugroho
Journal of Information System Research (JOSH) Vol 3 No 4 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Rice is the staple food of Indonesian people. Processed rice comes from the rice plant. Along with the increasing population in Central Java, the need for rice is increasing from year to year. Data mapping is needed to overcome the reduction in the quantity of rice yields. Rice yields in Central Java have increased and decreased which are influenced by rainfall each year, namely in 2019-2020. The planting area that produces the most harvest is Grobogan, while the least production is Surakarta. Due to the very high rainfall that affects crop yields in Surakarta, rice plants experience flooding and damage rice yields.

Co-Authors Agustho Isai Ahmad Ashari Ahmad Ashari Alesandro Sulthan Yudistira Alessandro Christoforus Baramuli Andreas A. Sukmana Andree Wijaya Setiawan Angela Atik Setiyanti Arifin, Andrean Jonathan Ariya Dwika Cahyono Arya Eka Saputra Betty E. Kristiani Bistok Hasiholan Simanjuntak Bramastya Arya Gandhi Rusmantara Budhi Kristianto Chaidar Wicaksono Chris Stevanus Lekpey Chrisandy Noel Siruru Demira Intan Suranda Edi Winarko Epenetus Calvin Erni Erni Erwien Christianto Evangs Mailoa Galih Bintang Pradana Gracia Radiena Hanita Yulia Herdianto Bilma Bunga Hindriyanto Dwi Purnomo Imelda Ruwae Lutunani Jassen Vimala Johan Jimmy Carter Tambotoh Khabib Mustofa Krismiyati Lasmono Trisunaryanto Maria - - Netiva Hidayah Paga, Efraim Paulina Kota Pradipta Angga Saputra Radius Tanone Rivo Masinambow Robertos Hartanto Wijaya Sebah, Hermon Julkifly Sri Hartati Sri Hartati Sri Kasmiyati Stefan Agustinus Teguh Indra Bayu Timothy Garry Van Solang Tirta Patria Nandhika Windy Kusumawati Suhet Wines Kurnia Sendy Yoga Aji Handoko Yohanes Hendro Agus

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