Article Per Year (5 Year)
p-Index From 2020 - 2025
2.195
P-Index
This Author published in this journals
All Journal Journal of Computer and Information AL ISHLAH Jurnal Pendidikan International Journal of Artificial Intelligence Research Jurnal Review Pendidikan dan Pengajaran (JRPP) Building of Informatics, Technology and Science Jurnal Informasi dan Teknologi JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI JINAV: Journal of Information and Visualization Bulletin of Information Technology (BIT) International Journal Software Engineering and Computer Science (IJSECS) Green Intelligent Systems and Applications Innovative: Journal Of Social Science Research Global Education Journal
Iwan Adhicandra
Universitas Bakrie
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Perancangan Configuration Management Database Perusahaan Untuk Meningkatan Kinerja Layanan Teknologi Informasi Adhicandra, Iwan; Saragih, Hoga; Wicaksono, Rudi
Journal of Computer and Information Vol 1, No 1 (2012)
Publisher : Universitas Bakrie Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.23 KB)

Abstract

Makalah  ini membahas perancangan configuration management database  di  PT.    Northstar Pacific Capital untuk mendukung kegiatan bisnis dengan ketersediaan layanan teknologi informasi yang baik. Information Technology Infrastructure Library (ITIL) memberikan referensi-referensi best practice mengenai tata kelola layanan teknologi informasi.  Salah satu bagian dari framework ITIL adalah CMDB atau Configuration Management Database  yang  merupakan sebuah hubungan strategis  dengan  menggunakan  hubungan  diantara komponen-komponen IT atau disebut juga Configuration Item (CI). Nilai strategis dari CMDB dapat diperoleh apabila sebagian atau seluruh CI dapat dipetakan kedalam sebuah CMDB  yang dapat menggambarkan  hubungan  antar CI. CMDB dapat membantu perusahaan dan organisasi IT dalam pengelolaan komponen-komponen infrastruktur. Metodologi yang digunakan pada penelitian ini  adalah dengan  mengambil framework ITIL. Dari hasil analisis didapatkan korelasi yang baik antara hasil rancangan CMDB dengan peningkatan kinerja layanan teknologi informasi di PT.  Northstar Pacific Capital yang akan mendukung  kegiatan  operasional seperti yang diharapkan
Information System Design of Online-Based Technology News Forum Ellyzabeth Sukmawati; Iwan Adhicandra; Nur Sucahyo; Astika Ayuningtyas; Nurwijayanti KN
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.2.593

Abstract

In this study, researchers will create a news forum that processes data and information, especially in technology. As can be seen at this time, people still get information and express their opinions only through print media or what is commonly called newspapers or magazines, so the information may not be up to date quickly. Therefore, here the researcher will make observations and collect data to find out the main problems researchers will face when they want to make this news forum. There are several methods used to obtain the desired data, namely by conducting a literature study, namely the data collection method by collecting literature, journals, papers, and readings related to the research title, then creating a questionnaire that will be given to editors, journalists, as well as ordinary users in creating a news portal, in which there is a communication forum using existing methods such as Waterfall. The software for making this news portal and forum uses the programming languages Php, Mysql, Javascript, and CSS. Later following the results of observations, surveys and tests carried out, it is hoped that the information system that has been built can help be better than the applications previously used in processing data. In other words, the information system built will be able to process well-structured photo and news data. Ultimately, creating portals and forums helps people get information and express their opinions. This portal and forum design displays several menus, such as the latest news and profiles, and is supported by a communication forum.
Forecasting Analysis of Fishermen’s Productivity Data Using Single Exponential Smoothing Taufiq Dwi Cahyono; Heri Purwanto; Iwan Adhicandra; Kraugusteeliana Kraugusteeliana; Edy Winarno
JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav1487

Abstract

One of the reasons why it is vital to forecast fisher production data in coastal regions is to increase fish resource management efficiency. By calculating the number of fishing boats, the amount of fish that must be caught, and the amount of raw materials required for fish processing based on the anticipated amount of fishermen's production in the following period, decision-makers can determine the amount of fish that must be caught and the amount of raw materials required for fish processing. So that the objective of the research is to forecast fishermen's production data using the Single Exponential Smoothing method, this method is effectively used to perform forecasting of time series data with short period data intervals to produce forecasts for the next period, and it can measure the rate of change of fishermen's production data each period. The results of forecasting data on fishermen's production utilizing time series data intervals from October 2022 to January 2023 to make forecasts for February 2023, namely a MAPE error rate of 2.85%, indicate that the forecasting results are within the "good" category.
ELECTRE III for Human Resource Management: A Study of Recruitment and Retention Strategies Meithiana Indrasari; Delipiter Lase; Indriyani Indriyani; Jacomina Vonny Litamahuputty; Iwan Adhicandra; Robbi Rahim
JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav1505

Abstract

This paper presents the application of the ELECTRE III multi-criteria decision making method for human resource management. The case study conducted involves the evaluation of different recruitment and retention strategies using multiple criteria such as cost, time to fill a position, quality of candidates, retention rate, diversity and inclusion, employee satisfaction, and compliance. The study demonstrates the step-by-step process of how to conduct an ELECTRE III analysis, including the identification of criteria and alternatives, the calculation of concordance and discordance indices, and the determination of final rankings using the global outranking relation. The results of this analysis can be used by organizations to make informed decisions about recruitment and retention strategies that best align with their goals and objectives. The study highlights the importance of data quality and the need for sensitivity analysis to check the robustness of the results. Additionally, it is suggested that future research could be conducted on how to effectively communicate the results of the analysis to stakeholders and decision-makers, and on comparing the results of this analysis with other methods.
Evaluating the Suitability of Online Courses using the ELECTRE Method S Sahyunu; Jimmy Moedjahedy; Iwan Adhicandra; Yogasetya Suhanda; Usanto S; Robbi Rahim
AL-ISHLAH: Jurnal Pendidikan Vol 15, No 3 (2023): AL-ISHLAH: JURNAL PENDIDIKAN
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v15i3.3912

Abstract

This study aims to explore the use of the Elimination and Choice Expressing Reality (ELECTRE) method for selecting and evaluating online courses. The pairwise comparison method determined a set of criteria and weights, including course quality, instructor experience, accreditation, student engagement, flexibility, technical support, and cost. The study used a mixed-methods approach, which means it combines quantitative and qualitative data. The ELECTRE method was then applied to rank five online courses based on their suitability for the participants' needs and expectations. The concordance and discordance indices were calculated for each course, and the net flow was used to determine the ranking. The results showed that the ELECTRE method can be a useful tool for participants in choosing and evaluating online courses based on a set of tailored criteria and weights. Future research could investigate how the results of the ELECTRE method can be combined with other methods to enhance the accuracy and validity of the ranking. Overall, the ELECTRE method provides a useful framework for participants to decide which online course is best suited to their individual preferences and goals.
Optimization of Hospital Queue Management Using Priority Queue Algorithm and Reinforcement Learning for Emergency Service Prioritization Adhicandra, Iwan; Nurhidayati, Safitri; Fauzan, Tribowo Rachmat
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2772

Abstract

This study aims to develop and implement an efficient hospital queue management system by integrating the Priority Queue algorithm with Reinforcement Learning (RL). The primary objective is to enhance the prioritization of emergency patients, ensuring that those with the most critical conditions receive timely care. The Priority Queue algorithm facilitates the sorting of patients based on the severity of their medical conditions, while RL enables the system to continuously learn and optimize the queue management process using historical data and real-time feedback. The research methodology includes data collection from hospital queues, algorithm model development, and simulated and real-world data validation. The results demonstrate that the combination of these algorithms significantly reduces waiting times for emergency patients and improves overall hospital operational efficiency. Additionally, implementing this algorithm has increased patient satisfaction due to shorter wait times and more timely services. The study concludes that the Priority Queue algorithm enhanced by RL is an effective solution for hospital queue management and recommends further research on larger scales and with more complex algorithms.
STUDI KASUS TENTANG PENGGUNAAN TEKNOLOGI INTERNET OF THINGS (IOT) DALAM MENINGKATKAN EFISIENSI ENERGI DI BANGUNAN PINTAR Adhicandra, Iwan
PENDIDIKAN SAINS DAN TEKNOLOGI Vol 11 No 3 (2024)
Publisher : STKIP PGRI Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/edusaintek.v11i3.1297

Abstract

Penggunaan Teknologi Internet of Things (IoT) dalam meningkatkan efisiensi energi di bangunan pintar telah menjadi topik penelitian yang semakin mendapat perhatian. Penelitian ini bertujuan untuk menyelidiki peran dan potensi IoT dalam meningkatkan efisiensi energi di berbagai jenis bangunan. Metode studi literatur digunakan untuk mengumpulkan dan menganalisis informasi dari berbagai sumber yang relevan. Hasil penelitian menunjukkan bahwa integrasi IoT memungkinkan bangunan untuk menjadi lebih cerdas dalam memantau, mengelola, dan mengoptimalkan penggunaan energi. Berbagai aplikasi praktis IoT dalam manajemen energi bangunan, seperti penggunaan sensor pintar dan sistem manajemen energi terintegrasi, telah membuktikan kemampuannya dalam menghasilkan penghematan energi yang signifikan. Meskipun demikian, tantangan seperti keamanan data, biaya investasi awal, dan kurangnya pemahaman teknis masih menjadi hambatan dalam penerapan IoT. Oleh karena itu, kolaborasi antar pemangku kepentingan dan upaya dalam penyediaan pelatihan dan edukasi yang lebih luas sangat diperlukan untuk memastikan kesuksesan implementasi IoT di masa depan.
Penerapan Metode MOOSRA dan MOORA dalam Keputusan Pemilihan Produk Asuransi Terbaik Suryanto, Andik Adi; Alam, Sitti Nur; Widjaja, Warkianto; Wijaya, Hamid; Adhicandra, Iwan
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.2938

Abstract

At present, public opinion regarding the selection of insurance products is very low because people still do not understand enough to insure themselves against a product that will guarantee their necessities of life. Especially now that there are so many insurance products out there, it's likely that people don't want to register for insurance. Therefore, people must be careful in choosing an insurance product so that it fits what they want. The Decision Support System is a computerized system and is designed to assist management in making decisions to solve semi-structured and unstructured problems so that the decision-making process can be of higher quality. This application that will be made is an application that is guided by the MOORA method. Therefore, an application that is guided by the MOORA method is very suitable for calculating insurance product selection. From the results of our research we conducted the MOOSRA and MOORA methods for selecting insurance products easier and more precise than the manual work method. applying the MOORA method produces an alternative A5, namely Prudential with a value of 0.217 as the best alternative.
Seleksi Staff IT Menggunakan Metode Preference Selection Index (PSI) Adhicandra, Iwan; Hutahaean, Jeperson; Ruktiari Ismail, Rima; Mulyani, Neni; Hasti, Novrini
Bulletin of Information Technology (BIT) Vol 5 No 2 (2024): Juni 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i2.1390

Abstract

To get the right employees and in accordance with the criteria of the company or agency is certainly not easy. Therefore, to get the employees desired by the company or agency, a selection of prospective IT staff in a company is needed so that later the company or agency will get competent IT staff in accordance with their field. The large number of applicants in the company makes it difficult for companies to experience obstacles and difficulties in choosing prospective IT staff. In the selection process, it is often influenced by subjective factors that can lead to the election of incompetent employees. For this reason, an information system is needed that can help companies in selecting prospective IT staff. This system is known as a decision support system. for this study, the Preference Selection Index method is used based on several studies that have been published. The final results of the calculation were obtained the names of candidates in order from rank 1 to 10, namely: Fani, Bunga, Agus, Evan, Putra, Jaka, Dani, Andi, Citra and Intan
Comparison Analysis of Service Performance Using Kruskal Wallis-Friedman Test to Minimize Waiting Time in Toll Gate System Sri Wahyuningsih, Suluh; Herli Sumerli A, Chevy; Fajri, T. Irfan; Octiva, Cut Susan; Adhicandra, Iwan
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.437

Abstract

The purpose of this study is to compare how well conventional, automatic, and OBU toll gates perform in terms of service. The author of this study employed two data collection techniques: primary data was gathered through interviews and field observations, and secondary data was obtained through a review of the literature. You choose which features and parameters are subject to change while the simulation is running. The system will be used to simulate how each algorithm performs in accordance with ideas and scenarios that have already been decided. Following the recording of the simulation findings, the verification step will be completed. On the basis of the outcomes of earlier data processing and analysis, the following conclusions are possible: In creating a toll gate model, two automatic toll booths spaced 60 meters apart from the toll gate were used as simulations to approximate the real thing. utilizing the Kruskal-Wallis-Friedman test computations to compare the performance of the toll gate service with six scenarios. The OBU-OBU scenario has the system's shortest waiting time, according to the computation findings. Conversely, the server utilities that are in use are traditional and traditional.
Co-Authors Alam, Sitti Nur Andik Adi Suryanto Asfahani, Asfahani Astika Ayuningtyas Bekti Yulianti Cynthia Rahmawati Edy Winarno ellyzabeth sukmawati Fauzan, Tribowo Rachmat Feri irawan Heri Purwanto Herli Sumerli A, Chevy Hoga Saragih Indriyani Indriyani Jacomina Vonny Litamahuputty Jeperson Hutahaean Jimmy H Moedjahedy Kraugusteeliana Kraugusteeliana Krisnawati, Nova Lase, Delipiter Meithiana Indrasari Muhammad Agus Muljanto Novrini Hasti NURHIDAYATI, SAFITRI Nurwijayanti Kusumaningrum Octiva, Cut Susan Putri, Desfita Eka Robbi Rahim Rudi Wicaksono Ruktiari Ismail, Rima Sahyunu Sahyunu Sri Wahyuningsih, Suluh Sucahyo, Nur Suhanda, Yogasetya Tanwir, Tanwir Taufiq Dwi Cahyono Usanto S Widjaja, Warkianto Wijaya, Hamid