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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)

Abstract

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)

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.707 KB) | DOI: 10.34151/technoscientia.v6i1.543

Abstract

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 user’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 “BIG” 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (611.05 KB) | DOI: 10.9744/informatika.11.1.8-16

Abstract

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

Abstract

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)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.098 KB) | DOI: 10.29207/resti.v1i3.94

Abstract

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.
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

Abstract

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.
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

Abstract

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.
Estimated Economic Growth Rate Based on Efek Decrease in PPKM Level Using Support Vector Regression Method Daniel Setyo Cahyo Utomo; Adi Nugroho
Journal of Information System and Informatics Vol 4 No 2 (2022): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v4i2.246

Abstract

Economic growth is a change in economic conditions towards a better level. An increase in the value of income and production will affect the condition of a country. It can be known that the impact of Covid-19 is enough to affect economic conditions in Indonesia. Economic conditions in Indonesia are also affected by the PPKM program from the government. The bill of decreasing the PPKM level that is applied is considered to provide an increase in the economy towards normal and better. The purpose of this study is to provide predictions and analysis of the value of future economic growth. The method used is SVR (Support Vector Regression). This method is processed using a Polynomial kernel and using MAPE (Mean Absolute Percentage Error) error accuracy. Based on research that has been carried out, the results of the value of each economic nit in the fourth quarter of 2021 and the first to fourth quarters of 2022 with a MAPE value of 3.6% which is included in the very good category. In this study, an analysis was also obtained that there will be an economic increase of 1.14% along with a decrease in the PPKM level.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (8143.113 KB) | DOI: 10.21460/inf.2012.82.128

Abstract

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.