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EVALUASI TATA KELOLA SISTEM INFORMASI BUSINESS INTELLIGENCE PADA PERUSAHAAN MINUMAN RINGAN Rizki, Yanis Aulia; Suroso, Arif Imam; Ramadhan, Arief
Jurnal Manajemen Teknologi Vol 15, No 3 (2016)
Publisher : SBM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/jmt.2016.15.3.5

Abstract

Abstrak. Implementasi Sistem Informasi Business Intelligence (BI) berperan untuk memenuhi kebutuhan informasi yang lengkap, berkualitas, dan sesuai kebutuhan dari setiap tingkatan dan fungsi unit bisnis sehingga dapat meningkatkan kualitas pengambilan keputusan manajemen. Penelitian ini bertujuan untuk mengevaluasi tata kelola BI pada satu perusahaan penyedia minuman ringan di Indonesia (PMRI). Evaluasi melalui investigasi sumber daya sistem informasi dengan metode kualitatif deskriptif, analisis tingkat kematangan dengan menggunakan maturity model COBIT framework 4.1 serta analisis kualitas sistem, kualitas informasi dan kualitas layanan yang variabelnya diambil dari model DeLone dan McClane serta di analisis menggunakan Importance Performance Analyst (IPA). Hasil penelitian menunjukkan hasil investigasi sumber daya sistem informasi mendukung implementasi BI namun perlu dilakukan peningkatan. Berdasarkan pengukuran maturity model secara keseluruhan proses sudah mengikuti kaidah-kaidah yang baik dan benar sesuai dengan COBIT framework dan Maturity Level-nya berada diantara level: 2 - Repeatable dan level: 4 â?? Managed. Selanjutnya, berdasarkan analisis IPA, kualitas sistem yang kinerjanya rendah dan menjadi perioritas perbaikan bagi PMRI adalah keandalan sistem, kecepatan akses serta efisiensi, sedangkan kinerja yang rendah pada kualitas informasi yaitu atribut akurasi dan tepat waktu, sedangkan kinerja yang rendah pada kualitas layanan yaitu atribut keandalan dan responsif. Perbaikan fokus pada peningkatan kinerja, perencanaan dan pengelolaan BI. Kata kunci: Perusahaan minuman ringan, tata kelola TI, business intelligence, COBIT framework 4.1, maturity level, importance performance analysis (IPA)Abstract. Implementation of Business Intelligence (BI) can fulfil complete information needs, qualified, and suitable for each business unit levels to improve the quality of management decision making. This study aimed to evaluate the governance of BI on one of soft drinks company in Indonesia (PMRI). The evaluation consist of investigation resources information system with descriptive qualitative method, analysis level of maturity by using maturity models COBIT framework 4.1 and analysis of system quality, information quality and service quality which the variabel adapted from DeLone and McClane Model and analysed with Importance Performance Analyst (IPA) analysis. Based on the results of investigation resources information system already support the implementation of BI but it needs to improve. Based on the result of overall measurement maturity process is already followed the correct rules with COBIT framework and level Maturity is between level: 2 - Repeatable and level: 4 - Managed. Furthermore, based on IPA analysis, low-performance quality system and become priorities for the improvement of PMRI is reliability, accessibility and efficiency, and for the low performance in the quality of information is attribute accuracy and timeliness, and for the low performance in the quality of service is an attribute of reliability and responsiveness. Improvements focus on enhancement of BI performance, planning and management. Keywords: soft drinks company, IT governance, business intelligence, COBIT framework 4.1, maturity level, importance performance analysis (IPA)
Developing E-Government Maturity Framework Based on COBIT 5 and Implementing in City Level: Case Study Depok City and South Tangerang City Akbarsyah Anza, Fikri; Indra Sensuse, Dana; Ramadhan, Arief
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.381 KB) | DOI: 10.11591/eecsi.v4.1076

Abstract

The use of E-Government in achieving good governance has been done by government to serve citizen nowadays. However, not all local government were able to implement it. PeGI that has been used as a benchmark to check government’s readiness rate in implementing E-Government can’t describe all process that need to be assessed in developing local E-Government. Moreover, the emergence of social problems, such as organizational culture and human resource management which inhibits maturation of local E-Government. Therefore, it needs one general maturity framework which capable to guide local government to develop their own E- Government and able to address social problems that arise. This study  is the incorporation of previous research results using meta-synthesis method combine with best practice, primary in COBIT 5 that has been adjusted to address a factor of social problems. The design framework begins with identifying  the business principle of local government, stakeholders, concerns, requirements, and obstacles; thus, produced a model of maturity framework that has six types stages, eight types dimensions, four types main categories and 69 types sub-category of assessment processes. In the end, after the framework was tested and evaluated, we can conclude this framework already comply with PeGI’s result. From local government who had the best PeGI’s result, they had main problem in social issues and in documenting process. For local government with very low PeGI’s result, they had common constraints related to IT (low understanding of IT governance and IT management, lack of infrastructure, human resources, and understanding how to use IT Master Plan).
Energy saving on IoT using LoRa: a systematic literature review Mochammad Haldi Widianto; Arief Ramadhan; Agung Trisetyarso; Edi Abdurachman
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 11, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v11.i1.pp25-33

Abstract

The development of devices connected to the internet is very significant, encouraging the creation of the internet of things (IoT). With remote systems, IoT is not enough to use in case of internet instability. By using long range (LoRa), IoT systems can now solve this problem. Millions of data make IoT-LoRa have to spend a lot of energy. This paper helps discover where recent studies offer a broad perspective on energy savings using the systematic literature review (SLR). The paper extracted 252 articles from IEEE, ACM, MDPI, Springer, Hindawi, ScienceDirect, and IAES. 44 articles passed the specified inclusion and exclusion criteria. The article focuses on knowledge about IoT-Lora, energy saving needs, energy saving factors, and the paper demographics. The author synthesizes studies for that purpose on IoT applications using LoRa.
Analysing Signal Strength and Connection Speed in Cloud Networks for Enterprise Business Intelligence Gananda Hayardisi; Kudang Boro Seminar; Arief Ramadhan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 4: August 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i4.8454

Abstract

Signal strength and speed connection data which are collected and available in a company have not been optimally and beneficially processed and stored for more added value business purposes. Therefore, the collected data need to be utilized in more strategic way for business intelligent in the company that enables management to conduct better and smarter decision making. This research is aimed to develop a business intelligence system based on cloud computing platform which is more flexible and manageable in terms of cost and resources. The developed system adopts the three tier architectures of data warehouse that provides data extraction, transform, and load (ETL) functions and the creation of dimensional models and visualization in dashboard forms. Business intelligence solutions have been created based on cloud computing using Microsoft Azure SQL Database as database storage of data warehouse and Power BI as a dimensional model and dashboard visualization. The developed system prototype has been implemented and tested for its functionalities and capabilities in a web platform.
Factors Influencing The Purchase Intention in Online Organic Fruit and Vegetable Stores Nur Adhita Rahmawati; Arif Imam Suroso; Arief Ramadhan
Jurnal Manajemen & Agribisnis Vol. 15 No. 3 (2018): JMA Vol. 15 No. 3, November 2018
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (979.946 KB) | DOI: 10.17358/jma.15.3.209

Abstract

The increasing number of organic agricultural production and public awareness toward healthy living provide the opportunities in trading for the products itself. Meanwhile, the development of information technology produces innovation such as electronic commerce (e-commerce), and in agribusiness, it is known as e-agribusiness. E-agribusiness allows organic groceries trade activities to be conducted online through a website. However, that is a new and rare activity in Indonesia, therefore the management of company needs to develop the strategy to enhance the customers and survive in the industry. The purpose of this study is to analyze the factors influencing organic fruit and vegetable purchase intention through a website based on technology perspective and consumer behavior. WebQual and Theory of Planned Behavior (TPB) were used in this study. This study was conducted on website of Sayur Box, one of e-agribusiness in Indonesia. Face-to-face survey technique was used to collect the data from 113 respondents. PLS-SEM was used for data analysis. The result shows that online purchase intention is affected by attitude and perceived behavioral control. All of WebQual’s instruments that used in this study affect user satisfaction toward the website except for the usefulness variable. User satisfaction toward the website has an indirect effect on online purchase intention through attitude variable.Keywords: e-agribusiness, online purchase intention, structural equation modeling, theory of planned behavior, website quality
IMPLEMENTASI SISTEM KLASIFIKASI MOBIL PADA SISTEM PENGATURAN LAMPU LALU LINTAS TERDISTRIBUSI BERBASISKAN JARINGAN SYARAF TIRUAN Arief Ramadhan; Muhammad Fajar; M. Eka Suryana; Big Zaman
Jurnal Ilmu Komputer dan Informasi Vol 4, No 2 (2011): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (800.535 KB) | DOI: 10.21609/jiki.v4i2.165

Abstract

Sistem Pengaturan Lampu Lalu Lintas Terdistribusi adalah sebuah sistem lampu lalu lintas yang ditujukan untuk memenuhi kebutuhan akan kinerja pengaturan lampu lalu lintas yang cerdas dengan pengambilan data secara real-time. Sistem ini dapat melakukan penjadwalan dan pengaturan jaringan banyakpersimpangan secarareal-time yang tidak bisa dilakukan oleh sistem pengaturan lampu lalu lintas konvensional. Penerapan klasifikasi di dalam sistem ini digunakan untuk meningkatkan akurasi dari pengenalan mobil. Proses klasifikasi diimplementasikan menggunakan tiga algoritma Jaringan Syaraf Tiruan, yakni Backpropagation, FLVQ, dan FLVQ-PSO. Berdasarkan hasil ujicoba, dapat ditunjukkan bahwa algoritma Backpropagationmemiliki performa akurasi yang lebih baik dibandingkan dua algoritma JST yang lainnya. Distributed Traffic Light Control System is a traffic light system intended to meet the need for setting the performance of intelligent traffic lights with real-time data capturing. The system can perform scheduling and network settings of multi-junction in real time that can not be done by a conventional traffic light settings system. Application of classification within this system is used to improve the accuracy of the car recognition. Classification process is implemented using three neural network algorithms, namely Backpropagation, FLVQ, and FLVQ-PSO. Based on the test results, it can be shown that the Backpropagation algorithm performs better accuracy than the other two algorithms.
PERBANDINGAN ALGORITMA PERLUASAN JARINGAN TELEKOMUNIKASI DENGAN MOBILE ROBOT DI DAERAH BENCANA MENGGUNAKAN OPEN DYNAMIC ENGINE Arief Ramadhan; Abdullah Hafidh; M. Eka Suryana; Muhammad Fajar
Jurnal Ilmu Komputer dan Informasi Vol 4, No 2 (2011): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1115.833 KB) | DOI: 10.21609/jiki.v4i2.170

Abstract

Putusnya jaringan komunikasi sebagai dampak suatu bencana merupakan permasalahan yang perlu cepat diatasi agar tidak menimbulkan kerugian yang lebih besar. Komunikasi antara lokasi bencana dengan dunia luar menjadi sangat penting dalam menentukan tindakan yang tepat untuk meminimalisasi kerugian akibat bencana. Kajian penggunaan mobile robot otonom untuk menghubungkan menara-menara komunikasi yang terputus dapat menjadi solusi alternatif untuk mengatasi masalah ini. Dalam penelitian ini, penulis mengkaji beberapa algoritma perluasan jaringan dalam bentuk simulasi menggunakan Library Open Dynamic Engine. Library Open Dynamic Engine merupakan library yang telah menggunakan perhitungan fisika secara efisien dan teruji sehingga dapat mendekati keadaan dunia sebenarnya. Simulasi ini bertujuan untuk mendemontrasikan serta membandingkan bahwa algoritma ini dapat dikembangkan untuk menghubungkan menara komunikasi. The disconnection in communication networks as the impact of a disaster is a problem that needs to be addressed quickly in order to avoid greater losses. Communication between the disaster site with the outside world becomes very important in determining the appropriate action to minimize losses due to disasters. Study the use of autonomous mobile robots for connecting communication towers that was disconnected can be alternative solutions to address these issues. In this study, the authors examine some of the network expansion algorithm in the form of a simulation using Open Dynamics Engine library. Library of Open Dynamic Engine is a library that has used physics calculations in an efficient and tested so can approach the state of the real world. This simulation aims to demonstrate and compare that this algorithm can be developed to connect the communication towers.
Evaluasi Implementasi E-government di Instansi XYZ Siti Romayah; Arif Imam Suroso; Arief Ramadhan
Jurnal Aplikasi Manajemen Vol 12, No 4 (2014)
Publisher : Jurusan Manajemen Fakultas Ekonomi dan Bisnis Universitas Brawijaya

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

Abstract

Abstract: Evaluation of e-Government is conducted to improve the efficiency, effectiveness, transparency and accountability of governance and public services. This study aims to evaluate the implementation of e-Government (e-Gov)in XYZ institution. The evaluation is divided into three types, first is analysis of maturity level using e-Gov Ranking Hold Indonesia (PeGI), the second type is evaluation of Information Systems Resources (ISR) with descriptive qualitative method, and the last one is analysis of system quality and information quality based on McLean and DeLone (2003) using analysis of Importance Performance Analysis (IPA). As a result, the overall assessment of PeGI from the five-dimensional measurement is good but it tends to be less threatened either. The dimensions of institutional, infrastructure, and application are categorized as “good” rank while the dimension of planning and policy are “weak” rank. Secondly, the evaluation results of ISR including hardware, software, netware, and dataware have good performance but the evaluation results of human resources need to be improved. Furthermore, from the IPA results, the low performance of sistem quality are reliability, accessibility, download time and efficiency and the low performance of information quality are timelines and up-to-date. Accordingly, XYZ institution need to make improvements that focus on information and communication technology (ICT) planning, human resources mapping and improving the quality and quantity in the field of ICT, as well as improving the system quality and the information quality to support the successful implementation of e-Gov in XYZ institutionKeywords: e-Government, Pemeringkatkan e-Government Indonesia (PeGI), Importance Performance Analysis (IPA)
Developing E-Government Maturity Framework Based on COBIT 5 and Implementing in City Level: Case Study Depok City and South Tangerang City Fikri Akbarsyah Anza; Dana Indra Sensuse; Arief Ramadhan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.381 KB) | DOI: 10.11591/eecsi.v4.1076

Abstract

The use of E-Government in achieving good governance has been done by government to serve citizen nowadays. However, not all local government were able to implement it. PeGI that has been used as a benchmark to check government’s readiness rate in implementing E-Government can’t describe all process that need to be assessed in developing local E-Government. Moreover, the emergence of social problems, such as organizational culture and human resource management which inhibits maturation of local E-Government. Therefore, it needs one general maturity framework which capable to guide local government to develop their own E- Government and able to address social problems that arise. This study  is the incorporation of previous research results using meta-synthesis method combine with best practice, primary in COBIT 5 that has been adjusted to address a factor of social problems. The design framework begins with identifying  the business principle of local government, stakeholders, concerns, requirements, and obstacles; thus, produced a model of maturity framework that has six types stages, eight types dimensions, four types main categories and 69 types sub-category of assessment processes. In the end, after the framework was tested and evaluated, we can conclude this framework already comply with PeGI’s result. From local government who had the best PeGI’s result, they had main problem in social issues and in documenting process. For local government with very low PeGI’s result, they had common constraints related to IT (low understanding of IT governance and IT management, lack of infrastructure, human resources, and understanding how to use IT Master Plan).
A Sales Prediction Model Adopted the Recency-Frequency-Monetary Concept Rendra Gustriansyah; Dana Indra Sensuse; Arief Ramadhan
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i3.pp711-720

Abstract

Predicting future sales is intended to control the number of existing stock, so the lack or excess stock can be minimized. When the number of sales can be accurately predicted, then the fulfillment of consumer demand can be prepared in a timely and cooperation with the supplier company can be maintained properly so that the company can avoid losing sales and customers. This study aims to propose a model to predict the sales quantity (multi-products) by adopting the Recency-Frequency-Monetary (RFM) concept and Fuzzy Analytic Hierarchy Process (FAHP) method. The measurement of sales prediction accuracy in this study using a standard measurement of Mean Absolute Percentage Error (MAPE), which is the most important criteria in analyzing the accuracy of the prediction. The results indicate that the average MAPE value of the model was high (3.22%), so this model can be referred to as a sales prediction model.