Article Per Year (5 Year)
p-Index From 2021 - 2026
5.995
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Economic Journal of Emerging Markets Jurnal Ilmiah Poli Rekayasa Proceedings of KNASTIK Bulletin of Electrical Engineering and Informatics CommIT (Communication & Information Technology) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal NERS Scientific Journal of Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) POLYGLOT Emerging Science Journal Syntax Literate: Jurnal Ilmiah Indonesia JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Komtika (Komputasi dan Informatika) International Journal of New Media Technology Jurnal Teknoinfo Jurnal Sisfokom (Sistem Informasi dan Komputer) International Journal of Supply Chain Management Poltekita : Jurnal Ilmu Kesehatan Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Informatika Jurnal Informatika Ekonomi Bisnis Journal of Applied Data Sciences Walisongo Journal of Information Technology Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Action Research Literate (ARL) Jurnal Indonesia Sosial Teknologi Jurnal Informatika Ekonomi Bisnis Jurnal Sistem Informasi International Journal of Education, Language, Literature, Arts, Culture, and Social Humanities The Indonesian Journal of Computer Science Malahayati International Journal of Nursing and Health Science Jurnal Komtika (Komputasi dan Informatika)
Achmad Nizar Hidayanto
Fakultas Ilmu Komputer, Universitas Indonesia
Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

Published : 61 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 61 Documents
Search

 1   2   3   4   5 
Prioritizing Barriers and Strategies Mapping in Business Intelligence Projects Using Fuzzy AHP TOPSIS Framework in Developing Country Ika Chandra Hapsari; Rayhan Anandya; Achmad Nizar Hidayanto; Nur Fitriah Ayuning Budi; Kongkiti Phusavat
Emerging Science Journal Vol 6, No 2 (2022): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-02-010

Abstract

Business Intelligence (BI) is an essential technology in an increasingly competitive landscape since it helps make decisions more accurately. To achieve an effective BI implementation, the organization must formulate the right strategy to overcome its challenges. This research aimed to develop a framework to map barriers into strategies using qualitative and quantitative methods. The qualitative approach is driven by interviewing BI experts to validate the barriers and strategies previously obtained. Based on the interview, there are 19 barriers and 9 strategies that could be used. The quantitative approach compiles a priority list of the most significant barriers and the most effective strategies to overcome these barriers using fuzzy AHP TOPSIS, an MCDM method to eliminate inconsistencies during ranking. The results indicate that the lack of collaboration between the IT and BI departments, the BI implementation demands to be done quickly, and low data quality are the main barriers that hinder BI's success. This research also found that business people's involvement in a BI project is the best strategy to overcome the obstacles. The chances of a successful BI implementation will increase by having good cooperation between IT and business units within the company. Doi: 10.28991/ESJ-2022-06-02-010 Full Text: PDF
Analisa Faktor-Faktor Yang Mendorong Penggunaan Sistem Informasi Kepegawaian (SIPEG) : Studi Kasus Politeknik Negeri Padang Ade Irma Suryani; Achmad Nizar Hidayanto
Jurnal Ilmiah Poli Rekayasa Vol 11, No 1 (2015)
Publisher : Pusat Penelitian dan pengabdian kepada Masyarakat (P3M) Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (626.633 KB) | DOI: 10.30630/jipr.11.1.14

Abstract

Padang State Polytechnic is one of the best vocational Polytechnic in Sumatera. As the best college, Padang State Polytechnic has implemented several information systems; such as the Information System in the Human Resource Civil Service Department. However, the system still was not optimally utilized within the institution as a tool to support data processing and strategic tool to gain strategic advantages and to support the growth of the organization to a better level. This research was conducted to analyze the factors that encourage the usage of information system in the Human Resource Civil Service Department in PNP. In order to collect data survey, author has sent questionnaires to all faculties including lecturers and administration staffs in Padang State Polytechnic as user of Information System in the Human Resource Civil Service Department. Among 160 questionnaires that were distributed, only 121 questionnaires were returned. Furthermore, the questionnaires were proceeded with the Structural Equation Modeling (SEM) method by using Amos Software v.21. In conclusion, the factors that encourage the usage of Information System in the Human Resource Civil Service Department in PNP are Information Quality, Service Quality and System Quality.
Data Quality Management Maturity Measurement of Government-Owned Property Transaction in BMKG Septian Bagus Wibisono; Achmad Nizar Hidayanto; Widijanto Satyo Nugroho
CommIT (Communication and Information Technology) Journal Vol. 12 No. 2 (2018): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v12i2.4470

Abstract

Government-Owned Property (GOP) management, including the bookkeeping of GOP transaction, is part of GOP Officer responsibility to ensure the quality of transaction data. This responsibility also applies to GOP Officer in Indonesian Agency for Meteorological, Climatological and Geophysics ‘Badan Meteorologi, Klimatologi, dan Geofisika’ (BMKG). GOP data as the source for the Central Government Financial Report is expected to be well-maintained. It must be presented as accurate as possible, although there are still inaccurate data presented in the latest BMKG GOP Report. This qualitative research using document study and some interview sessions aims to measure how well the Data Quality Management (DQM) maturity of GOP transaction in BMKG using Loshin’s Data Quality Maturity model. Thus, the result of maturity assessment is analyzed to recommend and implement DQM activities from the Data Management Body of Knowledge (DMBOK). The purpose is to improve GOP DQM. The research shows that the level of DQM maturity is at a repeatable level to defined level. Moreover, 52 maturity characteristics need to be followed through with DQM activities.
Sentiment Analysis Based on Appraisal Theory for Assessing Incumbent Electability Canrakerta Canrakerta; Pamuji Lasiyanto Putro; Zikri Irfandi; Nur Fitriah Ayuning Budi; Achmad Nizar Hidayanto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (306.157 KB) | DOI: 10.11591/eecsi.v5.1708

Abstract

Sentiment analysis is a useful study for determining opinions by classifying text. The document used in the research comes from Twitter about public opinion about community satisfaction related to performance of incumbent. The method used is Appraisal Theory. The data used are 1587 for Jokowi related data, 1774 for Ministry related data, and 1337 government related data. The result of data analysis from this research is that people have positive sentiments for incumbent. Innovation is a term that has the highest positive sentiment, whereas imaging is the term that has the lowest negative sentiment.
Implementation Open Source System Resource Planning In Sustainable Supply Chain Management of Small and Medium Enterprise Agung Terminanto; Achmad Nizar Hidayanto; Fajar Budi Utomo
International Journal of Supply Chain Management Vol 9, No 3 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1461.585 KB)

Abstract

Abstract— In the production logistics context, the success of supply chains corresponds to their ability to meet the logistic performance expectations of customers. This ability depends on the contributions of all supply chain members to the logistical performance of the entire chain. Implementation of ERP system is one way that can be done to improve the performance of company. Implementation of ERP System using open source with ASAP method. Open source selected is Odoo. Use case modeling is used to design and describe user permissions. Created gap analysis and flow map of purchase orders process, incoming product and outbound input to compare business process before and after using Odoo. Implementation is initiated by restore master data activity. Furthermore, setting the Odoo on the Warehouse and Purchase module. After the implementation of Odoo in PT SJM, the existing documents can be accessed in real-time and increased efficiency of activity in the Warehouse, the amount of activity by 31%, the number of documents reduced by 50%, the efficiency traveled by 91% which is 48% faster, and all data is integrated into one database. This indicates that Odoo provides benefits for improving company performance.
Turning Pirates into Subscribers: A Status Quo Bias Perspective on Online Movie Service Switching Intention Panca O. Hadi Putra; Muhammad Imam Santosa; Ika Chandra Hapsari; Achmad Nizar Hidayanto; Sherah Kurnia
Emerging Science Journal Vol 6, No 5 (2022): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-05-06

Abstract

This study aims to analyze the factors that influence a person's intention to use a subscription-based streaming service application using the perspective of the inertia of piracy movie application users. This study investigates the factors that affect the inertia of movie piracy application users. The theory used is a combination of the status quo bias theory and coping theory. This research uses a quantitative approach and an online survey method for data collection. Data collection resulted in 378 responses that were subsequently analyzed using the covariance-based structural equation modeling (CB-SEM) technique. It was found that inertia (the level of user inertia) negatively affects intention to use (the intention to use a subscription-based streaming service application) and convenience. In addition, convenience, perceived controllability (a person's level of control over the application), and morality positively influence intention to use. Furthermore, it was also found that perceived cost and personalization do not affect the intention to use. Inertia is also positively and significantly influenced by the transition cost (effort to move). The factors that have the highest correlation values are transition cost and inertia. Doi: 10.28991/ESJ-2022-06-05-06 Full Text: PDF
Factors Influencing Continuance Intention of Complaint Service: A Case Study of QLUE Ardiati Utami Sarjono; Atalya Yoseba S.; M. Aulia Hafidh; Rosa Nur Rizky FT; Syafiq Abdillah U.; Achmad Nizar Hidayanto
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 2 (2022): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i2.1437

Abstract

The quality of information systems is the key to user satisfaction with an information system application. As a theoretical basis, this study uses the Information System Success Model to discuss the influence of the quality of information systems on the continued use of Information Systems applications. Qlue is used as a case study as one of the complaint service applications. This study uses a questionnaire with 299 data collected using Google Forms which are distributed through various social media. Then to test the hypothesis, we processed the data by Partial Least Square (PLS) using SmartPLS application. This study explains that the factors that influence the intention to continue using Qlue are satisfaction with system quality and information quality, including aesthetic design, immediacy, and customization.
Predicting Rupiah Sentiment Using Social Sentiment Analysis Beny Maulana Achsan; Kenedi Binowo; Achmad Nizar Hidayanto
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 20, No 2 (2023): June 2023
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v20i2.22687

Abstract

In recent years, the behavior of foreign currency exchange rates (FOREX) has attracted a lot of attention from policy makers, investors, academics and regulators because due to its rapidly changing prices. FOREX predicting based on sentiment analysis has attracted a wide variety of research in finance and natural language processing. The availability of news, social media networks, and the rapid development of natural language processing methods result in better predictive performance. However, new studies related on Rupiah (Rupiah is legal money circulating in Indonesia) sentiment and its correlation with other FOREX are still rare and interesting to study.The purpose of this study is to (1) assess the accuracy of predicting Rupiah sentiment using social sentiment analysis and (2) to investigate the correlation between Rupiah sentiment and IDR currency exchange rate. The methodological approach used for this study is based on social sentiment analysis on Twitter and Pearson correlation.The result of this study is (1) from the seven models that we compared, the Decision Tree (DT) and Random Forest (RF) algorithm models have the best accuracy to avoid misclassification based on AUC. The accuracy measured by F1-score has values of 92.13% for both DT and RF, and (2) Rupiah sentiment has a strong positive correlation with USD (P-value: 0.017, r-value: 0.421) and SAR (P-value: 0.016, r-value: 0.419) exchange rate. On the other hand, Rupiah sentiment has a low significant negative correlation with AUD (P-value: 0.051, r-value: -0.403) and EUR (P-value: 0.079, r-value: -0.479). Rupiah sentiment also has a low but positive correlation with MYR (P-value: 0.073, r-value: 0.180) and is not significant with SGD (P-value: 0.119, r-value: -0.348) although it has a positive correlation. The strong positive correlation represents that the more positive Rupiah sentiment on Twitter, the stronger IDR exchange rate against another foreign currency, and vice versa.
Sentiment Analysis of Cryptocurrency Trading Platform Service Quality on Playstore Data: A Case of Indodax Kamrozi; Achmad Nizar Hidayanto; Krishna Yudhakusuma P.M.; Muh. Alviazra Virgananda; Ryan Randy Suryono
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 3 (2023): Juni 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i3.4769

Abstract

Indodax is one of the cryptocurrency trading platforms in Indonesia that has the highest sentiment for the quality they provide, good quality on a platform is an important factor in obtaining user satisfaction and will have an impact on the long-term success of a company. The importance of user satisfaction on cryptocurrency online trading platforms is a significant factor in increasing user loyalty in today's competition. This research was conducted to analyze the quality of existing cryptocurrency trading platform services so that they can be input for cryptocurrency trading service providers to improve the quality of their services, this information can also be considered by prospective platform users in choosing a trading platform that has the best quality of service to minimize losses that may be caused by the platform. In this study, sentiment analysis was used for indodax play store platform users and then processed using the lexicon classification method to produce sentiment analysis for each significant factor of service quality. From the results of the classification carried out in this study, the results of the analysis show that most users are satisfied and give positive sentiments related to security, namely 87.63%, positive sentiments related to the interface design 88.46%, positive sentiments related to service & convenience by 83%, but some users also gave a slightly positive sentiment related to administrative costs, namely 39%, and their negative sentiment was mostly related to the error & failure system, which received more than 80% sentiment. While the recall value is 38.07%, the precision is 56.69% and the f1-score is 45.55%. The results of this study can be concluded that there are still many important points that must be improved in quality by the indodax platform service providers so that they can be more attractive and used by everyone.
The Maturity Model of Data Quality Management in Banking Industry: PT XYZ Core System Customer Data Rahmad Mulyadi; Yova Ruldeviyani; Noverina Alfiany; Achmad Nizar Hidayanto
Jurnal Komtika (Komputasi dan Informatika) Vol 7 No 1 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v7i1.8750

Abstract

PT XYZ, engaged in the financial industry, has a target to become a leading company in Southeast Asia and has been supported by more than 200 million customer data in its core system. This huge amount of data is expected to create business opportunities, build a risk-aware culture, and increase supremacy in the business strategy of PT XYZ. These things can be achieved if the data used is of good quality data. In fact, found anomalies in a large number of customer data. To get recommendations for improving the quality of customer data, it is necessary to assess the quality of customer data. The customer data quality assessment in this study uses the method introduced by Loshin (2011). Loshin’s Data Quality Management Model (DQMM) adopts a capability maturity level model in building its characteristic matrix. Maturity levels obtained are 3.6 (expectations), 3.6 (dimensions), 4.4 (policy), 3.8 (procedures), 4.2 (governance), 3.8 (standardization), 4, 2 (technology), and 3.8 (performance management). Regarding the expectation that senior management can achieve the highest level of data quality, 9 strategic recommendations were produced 9 strategy recommendations were submitted to PT XYZ is the result of mapping between criteria that have not been met with data quality management activity in Data Management Body of Knowledge (DMBOK) version 2.0. Measurement and monitoring of good data quality is the most influential recommendation for PT XYZ.
Co-Authors . Herianto . Herianto . Herianto . Herianto Ade Irma Suryani Adhiawan Soegiharto Agri Fina Agung Terminanto Ahmadin, Yudhiansyah Ajie Tri Hutama Alfiany, Noverina Aniati Murni Arymurthy Anita Muliawati Antia Antia Ardiati Utami Sarjono Asymala, Asymala Permata Sari Atalya Yoseba S. Ayuning Budi, Nur Fitriah Azainil Azainil Barus, Okky Beny Maulana Achsan Bob Hardian Syahbuddin Cahyaningtyas, Astri Canrakerta Canrakerta Canrakerta, Canrakerta Debi Setiawan, Debi Devi Fitrianah Dewi Puspa Dewi Puspasari Dian Setia Hartana Dian Setia Hartana Dian Setia Hartana Diane Fitria Dwiza Riana Dyna Marissa Khairina Ejo Imandeka Fahmi, Rizki Ali Fajar Budi Utomo Fakhri Mubarak, Muhammad Fatimah Azzahro Febiani, Dyah Ayu Fitri, Imelda Friendly Nur Shakti Gusmao, Mazarino Neil Araujo Pires Leite Handayani, Putu Wuri Handini Mekkawati Hanny Handiyani Hapsari, Ika Chandra Hartana, Dian Setia Henki Bayu Seta Hisyam Fahmi Hohashi, Naohiro I Gusti Ngurah Adi Wicaksana Ihsan Lutfi Ika Chandra Hapsari Ika Chandra Hapsari Ika Chandra Hapsari Ika Chandra Hapsari Ika Chandra Hapsari Ika Chandra Hapsari Imairi Eitiveni Indra Budi Irfandi, Zikri Isal, Yugo Kartono J.W. Saputro J.W. Saputro J.W. Saputro Jwalita Galuh Garini Kamrozi Kemas Khaidar Ali Indrakusuma Kenedi Binowo Kongkiti Phusavat Kongkiti Phusavat Kongkiti Phusavat Krishna Yudhakusuma P.M. Lasiyanto Putro, Pamuji M. Aulia Hafidh Maemonah, Maemonah Mahmud, Mufti Mediati, Ati Surya Mediawati, Ati Surya Meganingrum Arista Jiwanggi Meganingrum Arista Jiwanggi Meganingrum Arista Jiwanggi Meganingrum Arista Jiwanggi Mohammed Al Kwarizmi Dwi Anggara Muh. Alviazra Virgananda Muhamad Ikbal Muhamad Raihan Fikriansyah Muhammad Daril Nofriansyah Muhammad Imam Santosa Muhammad Labib Jundillah Muhammad Rizky Anditama Muhammad Rizky Anditama Mutia Maulida Nazar, Rizal Mochamad Ni Wayan Trisnawaty Nilamsari Putri Utami Ninda Lutfiani Noratama Putri, Ramalia Noverina Alfiany Nugroho, Widijanto Satyo Nugroho, Widijanto Satyo Nur Fitriah Ayuning Budi Nur Fitriah Ayuning Budi Oktavio, Reihan Putra Pamuji Lasiyanto Putro Panca O. Hadi Putra Pang Ning-Tan Pangesti, Dyah Pertiwi, Ratih Putri Prasetya, Roliand Prastiti, Rizdiani Tri Purwandari, Betty Putro, Prasetyo Adi Wibowo Qorib Munajat Qurotul Aini R. Yugo Kartono Isal Rahmad Mulyadi Rahmad Mulyadi, Rahmad Ramadiani - Rania Azzahra Rayhan Anandya Rizha Febriyanti Rizki Tri Prasetio Robby Hermansyah Rosa Nur Rizky FT Rr Tutik Sri Hariyati Ryan Randy Suryono Samik-Ibrahim, Rahmat Mustafa Saputro, J.W. Sartika Djamaluddin, Sartika Septian Bagus Wibisono Septian Bagus Wibisono Setiawati, Deni Setyowati , Setyowati Setyowati Setyowati Setyowati Setyowati Sherah Kurnia Sihotang, Jhon Rafles Sita Wardhani Solontio, Chris Suryana Setiawan Suryana Setiawan Syafiq Abdillah U. Syafira, Adinda Rizkita Syahrul Alam Suriazdin Syahrul Tuba Theresiawati Untung Rahardja Wachid Yoga Afrida Wahyu Catur Wibowo Widijanto Satyo Nugroho Wisnubroto, Agus Sigit Yova Ruldeviyani Yuda Irawan Yudhiansyah Ahmadin Yudhiansyah Ahmadin Yudhiansyah Ahmadin Yudhianto, Riswan Haryo Yudi Ramdhani Zikri Irfandi