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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

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DATA QUALITY ASSESSMENT: A CASE STUDY ON ASSET VALUATION COMPARISON DATA I Gusti Ngurah Adi Wicaksana; Achmad Nizar Hidayanto; Handini Mekkawati; Rizha Febriyanti
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 9 No. 2 (2024): JITK Issue February 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v9i2.5184

Abstract

To realize a data-driven organization, good data quality is needed as a foundation for solving various problems related to data management. The case study used in this research is asset valuation comparison data. The purpose of this research is to define dimensions, measure and analyze data quality on asset valuation comparison data. There are three dimensions used in measuring data quality in this study which are adjusted based on existing regulations at Ministry X, namely accuracy, completeness, and validity. This research uses the stages in the Total Data Quality Management (TDQM) framework to measure data quality. The results of measuring all dimensions, 29 out of 58 business rules cannot be fulfilled completely. The business rules that can be fulfilled in each dimension are 47.06% in the completeness dimension, 60% in the validity dimension, and 44.44% in the accuracy dimension. The main factor causing the existence of data attributes that have not met the data quality business rules is because the asset valuation comparison data comes from various data sources. In addition, there are methods or standards for recording data from data source units that are not uniform, so an evaluation of the uniformity of data standardization and the implementation of data governance is needed. The results of this study can be used as material for organizational consideration to be more aware of the current state of data quality. In addition, it can be used by organizations to design strategies and steps to improve data quality so that it can support leaders in making the right decisions.
Information Security Awareness Analysis on Digital Bank Customer Using Analytic Hierarchy Process: Case Study at XYZ Application from Bank ABC Kemas Khaidar Ali Indrakusuma; Achmad Nizar Hidayanto
Walisongo Journal of Information Technology Vol 5, No 2 (2023)
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2023.5.2.17334

Abstract

Digital banking is an innovation from banks to deal with the high demand of the retail customer. This study aims to analyse and measure the level of information security awareness of the customers of XYZ as one of the digital banks in Indonesia and provide recommendations for steps that need to be taken to reduce fraud cases caused by customer negligence. Focus areas that included in this research are the adaptation and extension of the HAIS-Q framework and becoming a new theoretical framework to measure information security awareness for end-user. The measurement is carried out by distributing questionnaires with five Likert scales to 385 respondents and then processed using the Analytic Hierarchy Process (AHP) method which involves eight experts measuring the weight of several identified focus areas and then classified using the Kruger scale. The information security awareness measurement has a result of 81,9770 which indicates that the information security awareness of XYZ users has a good level. The results of data processing show that there are two focus areas and ten focus sub-area that is still not in the good category. In addition, several recommendations are given to XYZ so that the focus areas and sub-areas that are not categorized as good can be improved to make sure the information security awareness of XYZ users becomes better.
Transformation Of The Information Museum Into A Smart Museum Dewi Puspasari; Achmad Nizar Hidayanto
International Journal of Education, Language, Literature, Arts, Culture, and Social Humanities Vol. 1 No. 3 (2023): August : International Journal of Education, Language, Literature, Arts, Cultur
Publisher : FKIP, Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/ijellacush.v1i3.306

Abstract

The term smart museum has started to emerge in recent years along with the development of digital technology and smart concepts related to the application of technology in helping people in various sectors of life. The concept of a smart museum itself refers to the use of internet of things (IoT) technology such as sensors, wireless networks, digital applications, virtual reality, augmented reality, and smart systems to increase the interactivity, accessibility and involvement of visitors in the museum. Now more and more museums are adopting this smart solution as a way to attract visitors and optimize the visitor experience. In Indonesia, one of the museums that has transformed into a smart museum is the Museum Penerangan. In its efforts to become a smart museum, the Museum Penerangan has several supporting factors such as the number of human resources, technology support, program creativity, and support from top management. However, the main obstacle is funding because it requires a large investment to transform into a smart museum, besides that special human resources are needed to understand the technological needs that match the collection.
Smart prison technology and challenges: a systematic literature reviews Imandeka, Ejo; Hidayanto, Achmad Nizar; Mahmud, Mufti
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1214-1226

Abstract

The rapid rise of intelligent technology, particularly in government, is igniting a new phase of the industrial revolution around the world. As governmental entities, prisons oversee upholding social order and lowering current crime. The concept of the smart prison has not received much attention but is gaining traction. The goal of this research is to conduct a literature review to identify current prison technologies and to analyse the challenges associated with implementing smart prisons using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) protocol. Nine credible publishers were looked up between October 2022 and December 2022. The initial search yielded 362 articles, of which 25 were included in the final phase. This research provides the current state of prison according to technology-organization-environment (TOE). Some challenges arise in the context of TOE, such as the high cost of smart technology, inadequate technology design, poor management, ineffective service, overcrowding, ageing facilities, increasing violence, disease spread, and ethical problems. This study also classifies smart prison technology based on the internet of things (IoT) architecture layer. By providing the first comprehensive review on smart prison technology, this study makes an essential contribution to the subject of prisons.
Analisis Penerapan Customer Relationship Management Pada Instansi Pemerintah (Studi Kasus: Badan Pusat Statistik) Pertiwi, Ratih Putri; Wisnubroto, Agus Sigit; Yudhianto, Riswan Haryo; Prasetya, Roliand; Hidayanto, Achmad Nizar
Jurnal Informatika Vol 11, No 3 (2023): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v11i3.5008

Abstract

Many companies implement Customer Relationship Management (CRM) with the aim of building good relationships with customers to increase sales and business competitiveness. Similar to businesses, the concept of CRM can also be applied to government agencies that provide public services to the community, which is also known as Citizenship Relationship Management (CiRM/CzRM). Statistics Indonesia (BPS), as a non-ministerial government agency with the function of administering national statistics, began implementing CRM in 2010 with the establishment of the Statistical Service Information System (SILASTIK). The services included in SILASTIK are consulting services and requests for data/statistics. To increase the trust of various segments of society as data consumers of BPS, SILASTIK is continuously developed from year to year through stages into an Integrated Statistical Service (PST) that integrates various types of services that were previously silos/spread across several BPS work units. This research analyzes aspects of CRM in government agencies based on literature and its implementation process within the organization by taking case study of the SILASTIK. Data collection was carried out using the triangulation method (interviews, observations, and document analysis). The analysis was carried out by studying the CRM aspects of SILASTIK. Recommendations are given based on the results of the analysis so that they can provide an overview to practitioners and academics regarding the implementation of CRM through the development of information systems. In addition, this research contributes to providing examples of case studies of the implementation of CRM in the field of public services by government agencies for future development and research.
Analisis Faktor yang Memengaruhi Adopsi Asisten Kecerdasan Buatan di Kalangan Pengembang Perangkat Lunak Muhammad Rizky Anditama; Achmad Nizar Hidayanto
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4239

Abstract

Software development in the era of global competition requires strategic technology management to enhance a company's competitiveness and economic performance. The main challenges in this process include project complexity, changing requirements, and time constraints, which often lead to project failures globally. In Indonesia, only 27% of information system projects are completed on budget and on time, highlighting significant issues in software development. AI assistants have emerged as an innovation with great potential to address these problems. With features such as code completion, code interpretation, and bug detection, this solution has the potential to increase software developers' productivity in the future. Given this context, this research aims to identify the factors influencing the intention to adopt AI assistants, particularly among software developers. The study was conducted using PLS-SEM and applied factors from common technology acceptance theories such as TAM and UTAUT. Data collection instruments were distributed using self-selection sampling and snowball sampling (N=165). Major factors in UTAUT such as effort expectancy, performance expectancy, facilitating conditions, and social influence were found to be significant in influencing attitudes or adoption intentions. Additionally, AI-specific factors in the context of UTAUT extension, such as AI literacy, were found to have an indirect effect on attitudes and behavioral intentions, moderated by other factors. It is hoped that the findings of this research can help stakeholders evaluate their strategies if they wish to adopt AI assistants and provide academic impact through scientific publications that can complement existing literature, expanding the understanding of AI integration in the professional IT realm.
Penilaian Kematangan Manajemen Data Master, Studi Kasus Rumah Terapi XYZ Asymala, Asymala Permata Sari; Hidayanto, Achmad Nizar
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 5 No 1 (2024): Jurnal Informatika dan Teknologi Komputer ( JICOM)
Publisher : Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/j-icom.v5i1.9904

Abstract

Master Data Management (MDM) provides a way for an organization to ensure its data consolidation and integration across the whole system using a single master data set, thus benefiting with seamless operational and analytical processes. Not all organizations have good directions nor know the strategies of master data management. Master Data Maturity Management Model (MD3M) provides a blueprint for organizations to assess their currently implemented master data maturity management. The case study in this paper assessed MDM implementation in Therapy House XYZ by using MD3M by Spruitz and Pietzka. The referred MD3M has 5 key topics and 13 focus areas regarding master data management implementations. By assessing each of these points, organizations could know in which directions or area they could improve regarding MDM. The data were collected by using questionnaires and interviewing a Subject Matter Expert (SME) that handled the data management and system in the organization. This research found that 57% or 36 out of 63 of MD3M capabilities have been implemented. The missing capabilities are spread thorough the 5 key topics. The organization can achieve a higher maturity level by implementing the missing capabilities. Keywords: Master Data, Master Data Management, Master Data Maturity Assessment, MD3M
Strategy Selection to Enhance Customer Data Quality using AHP: Case Study of General Insurance Company (PT XYZ) Syafira, Adinda Rizkita; Hidayanto, Achmad Nizar; Nugroho, Widijanto Satyo; Samik-Ibrahim, Rahmat Mustafa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.99263

Abstract

This study examines strategies to enhance customer data quality at PT XYZ, a general insurance company, which is crucial for strategic decision-making and revenue growth. The importance of this topic lies in its potential to significantly improve operational efficiency and customer satisfaction. The Analytical Hierarchy Process (AHP) is utilized to select the optimal strategy from available alternatives. The research begins by establishing criteria and identifying alternative strategies to improve customer data quality. Expert evaluations are conducted based on four criteria: cost, time, security, and availability. Four experts are involved, chosen for their expertise in technology and organizational impact. The experts include a Senior IT Business Intelligence, a Data Analyst, a Unit Head of IT Infrastructure & Security Department, and a Division Head of Digital. The findings highlight that the strategy of Strengthening Collaboration Across Departments, with a value of 0.455, is the most effective. This strategy emphasizes interdepartmental cooperation to enhance data quality. The results underscore the long-term benefits of improved operational efficiency and customer satisfaction despite initial investment challenges, demonstrating the practical application of AHP in organizational settings. 
A Data-Driven Approach for Game Evaluation Using Latent Dirichlet Allocation Method Based on Players’ Reviews Muhammad Rizky Anditama; Robby Hermansyah; Achmad Nizar Hidayanto
Jurnal Sistem Informasi Vol. 20 No. 2 (2024): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v20i2.1429

Abstract

Garena is a global game developer and publisher. Garena provides users with access to popular and engaging online games for mobile and PC, developed, curated, and localized for each market. The Battle Royale genre is relatively new, and this research will evaluate Free Fire, one of the games in this genre made by Garena. Analyzing end-user reviews is considered important for evaluating software quality. Researchers need to understand which aspects need to be evaluated based on player reviews on Google Play and how the model's performance is generated using feedback from players who have played Free Fire. In this study, researchers use the Latent Dirichlet Allocation (LDA) method to model topics and generate clusters in discussions for each topic. LDA is a generative probabilistic model of a corpus. This research on topic modeling using Google Play reviews and LDA has identified the topics users are most concerned with. The research shows three main aspects: bugs, graphics and performance, and game rules/punishment policy, as aspects that need to be evaluated based on player reviews on Google Play.
Data Quality Issues : Case Study of Claim and Insured in Indonesia Insurance Company Solontio, Chris; Hidayanto, Achmad Nizar
IJNMT (International Journal of New Media Technology) Vol 11 No 2 (2024): Vol 11 No 2 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i2.3755

Abstract

Data has become an asset for insurance companies that have many benefits and management needs to realize the importance of data quality to avoid the impact of poor data quality. In this study, data quality measurement will be carried out by observation to see the total amount of invalid data from data dimensions, namely, accuracy, completeness and consistency of the relationship between claim data and insured, and findings from each data fields in this case study. In addition, researchers conducted interviews to find out the obstacles faced by IT, Customer Retention, Operational, and Actuary teams where they are directly related to data flow and data processing. From the results of the analysis, there is invalid data that will affect the analysis and cause obstacles faced by users according to the interview results. In the conclusion, management needs to form a data govenance team to avoid poor data quality that has responsibility for data flow and maintains data quality in order to provide a positive impact such as providing the right data accuracy in data analysis and user time to be more effective in data processing, assisting in making data warehouses, applying AI and digital transformation as a form of improvement in the services provided.
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