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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Komputer dan Informasi CommIT (Communication & Information Technology) Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Komtika (Komputasi dan Informatika) Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika Ekonomi Bisnis Computer Science and Information Technologies Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Pendidikan Indonesia (Japendi) J-Icon : Jurnal Komputer dan Informatika Jurnal Informatika Ekonomi Bisnis Jurnal Sistem Informasi The Indonesian Journal of Computer Science

Yova Ruldeviyani

Fakultas Ilmu Komputer, Universitas Indonesia

Author-ID : 1556704

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences

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EVALUASI MATURITY LEVEL PADA DATA OPERATIONS MANAGEMENT MENGGUNAKAN CAPABILITY MATURITY MODEL INTEGRATION (CMMI): STUDI KASUS LEMBAGA PENELAAH TRANSAKSI KEUANGAN Al Adawiyah, Rabiah; Ruldeviyani, Yova
Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi Vol 11, No 1 (2020): Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan
Publisher : Kementerian Komunikasi dan Informatika R.I.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17933/mti.v11i1.168

Institusi Finansial XYZ merupakan sebuah lembaga penelaah transaksi keuangan yang memiliki tugas dan kewenangan untuk menerima laporan transaksi keuangan dari para pihak pelapor, melakukan analisis terhadap laporan transaksi keuangan, dan meneruskan hasil analisis kepada aparat penegak hukum. Insiden hilangnya data pernah terjadi di Institusi Finansial XYZ pada tahun 2018 yang mengindikasikan Data Operations Management masih belum berjalan dengan baik. Penelitian ini bertujuan untuk mengukur Maturity Level pada Data Operations Management di Institusi Finansial XYZ dengan menggunakan Capability Maturity Model Integration (CMMI) dan Data Management Body of Knowledge (DMBoK). Penelitian ini melakukan asesmen terhadap Maturity Level pada Data Operations Management di Institusi Finansial XYZ dan dari hasil asesmen tersebut diharapkan dapat memberikan rekomendasi untuk perbaikan Data Operations Management. Hasil penelitian menunjukkan bahwa ada dua belas sub-aktivitas Data Operations Management yang berada pada Maturity Level 2 dan ada tiga sub-aktivitas Data Operations Management yang berada pada Maturity Level 3. Rekomendasi diberikan untuk dua belas sub-aktivitas yang masih berada pada Maturity Level 2. Rekomendasi ini diharapkan dapat meningkatkan Maturity Level pada Data Operations Management sehingga Institusi Finansial XYZ dapat menjalankan tugasnya dengan baik untuk menelaah transaksi keuangan dan menghasilkan hasil analisis yang akurat.

Penilaian Kualitas Data Broadband Customer Profiling (BCP) Pelanggan Fixed Broadband PT Telekomunikasi Indonesia Tbk. (Data Quality Assessment of Broadband Customer Profiling (BCP) of Fixed Broadband Customer of PT Telekomunikasi Indonesia Tbk.) Ines Dwi Andini; Yova Ruldeviyani; Ahmad Hendra Maulana; Arif Hidayat
IPTEK-KOM : Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi Vol 22, No 1 (2020): Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi)
Publisher : BPSDMP KOMNFO Yogyakarta, Kementerian Komunikasi dan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33164/iptekkom.22.1.2020.31-43

Kesuksesan perusahaan dalam meningkatkan pendapatan dan mengelola risiko terjadinya kerugian bergantung pada data. Kualitas data yang bagus menghasilkan pengambilan keputusan yang berkualitas pula di tingkat manajemen. Telkom merupakan perusahaan telekomunikasi terbesar di Indonesia dengan fixed broadband sebagai portofolio utamanya. Data BCP berisi riwayat akses pelanggan yang sangat potensial dianalisis untuk menghasilkan profil pengguna. Bagus tidaknya hasil profil pengguna bergantung pada kualitas data BCP. Tujuan penelitian ini adalah menilai, mengetahui penyebab utama permasalahan, serta memberikan rekomendasi untuk meningkatkan kualitas data BCP. Kerangka kerja yang digunakan adalah Total Data Quality Management (TDQM). Hasil penilaian kualitas data menunjukkan adanya empat penyebab utama permasalahan kualitas data BCP serta lima rekomendasi aksi preventif dan korektif yang perlu dilakukan. Dengan perbaikan pada lima hal tersebut, diharapkan kualitas data BCP dapat meningkat sehingga informasi yang dihasilkan dari pengolahan data BCP semakin akurat dan berkualitas.

Analisis Sentimen terhadap Penggunaan Aplikasi MySAPK BKN di Google Play Store Raksaka Indra Alhaqq; I Made Kurniawan Putra; Yova Ruldeviyani
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 2: Mei 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

In realizing the Electronic-based Government System (Sistem Pemerintahan Berbasis Elektronik - SPBE) policy, the National Civil Service Agency (Badan Kepegawaian Nasional - BKN), as the fostering government agency for the State Civil Aparatus (Aparatur Sipil Negara - ASN), needs to carry out an accurate, up-to-date, and integrated data management through an Android-based application named MySAPK. Over time, users encounter various troubles operating this application and writing down their reviews on the Rating & Review feature in Google Play Store. From May 9, 2017, until October 18, 2021, reviews written by users amounted to 4,778. This paper conducted a sentiment analysis on MySAPK users’ reviews. Stages carried out included data collection, data labeling (annotation), data preprocessing, word feature extraction, classification modeling, modeling evaluation, sentiment analysis, and recommendation result preparation. The classification modeling of the sentiment using the naïve Bayes and support vector machine (SVM) resulted in an accuracy level of 92.47% and 94.14%, respectively. The sentiment measurement results showed that users who wrote reviews with positive sentiments amounted to 2,118 (44.3%), and negative sentiments amounted to 2,660 (55.7%). Factors that prompted users to leave positive sentiment reviews are the excellent application quality, providing benefits, making it easier to fill out and store ASN data, and gratitude comments for BKN. On the other hand, factors causing users to leave negative sentiments reviews include requesting to fix the application, having difficulty accessing the application, failing to fill out and update data, and encountering an error server. To address these issues, this paper suggests that BKN could increase supporting server capacity and update the most recent version to fix the bugs. The research result is expected to serve as a reference for BKN in evaluating and improving the quality of ASN services via the MySAPK app.

Strategy to Improve Employee Security Awareness at Information Technology Directorate Bank XYZ Halida Ernita; Yova Ruldeviyani; Desiana Nurul Maftuhah; Rahmad Mulyadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 4 (2022): Agustus 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Bank handles private information like customer financial transactions and personal data. There was a 63% increase in cyberattacks attempted against Bank XYZ in 2021, and 1,323 attempted attacks on corporate email Bank XYZ. Therefore, implementing security awareness training for all employees is crucial for Bank XYZ. The information security awareness program must be assessed to determine the program's efficiency and the level of information security awareness among employees. Therefore, this study assesses the information security awareness at Bank XYZ, especially the Information Technology (IT) Directorate using the Human Aspect of Information Security Questionnaire (HAIS-Q) method. The findings of this study revealed that employees at Bank XYZ in the information security work unit had a "Good" level of awareness. In contrast, the results from other IT work units were “Medium”. Based on the assessment results, Bank XYZ's security awareness strategy recommendation is to align awareness content with information security policies and procedures, use a variety of media awareness, and focus on the "Internet Use" and "Information Handling" awareness areas. As a way of determining the achievement of information security Key Performance Indicators (KPI), security awareness measurement must be done regularly, for example, once a year.

Strategies to Improve Data Quality Management Using Total Data Quality Management (TDQM) and Data Management Body of Knowledge (DMBOK): A Case Study of M-Passport Application Rina Rahmawati; Yova Ruldeviyani; Puja Putri Abdullah; Fathurahman Ma'ruf Hudoarma
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8330

M-Passport is a mobile application developed for Indonesians to request for passport online. The applicants independently input all required data using this application, so the quality of data entered must be considered to ensure the passport’s validity as an official state document. However, input errors increase the time needed for the interview process and make the data verification procedure inefficient. The research aims to assess the data quality of M-Passport for organizations to take deliberate actions to enhance the data quality. The research applies the Total Data Quality Management (TDQM) method and the Data Management Body of Knowledge (DMBOK). Six data quality dimensions are used. It consists of completeness, validity, accuracy, timeliness, uniqueness, and consistency. The measure phase is carried out on 17 entities in the M-Passport database through a query process in the production environment. Then, the analysis phase observes the problems based on the pre-determined dimensional classification groups. The result indicates that the average values of completeness, validity, accuracy, consistency, timeliness, and uniqueness are 99.20%, 99.41%, 100%, 90.68%, 78.52%, and 99.98%, respectively. According to the findings, timeliness and consistency are the lowest dimensions in fulfilling business rules. It indicates that organizations need to focus more on improving data quality in these dimensions. Then, based on the DMBOK, the research also generates recommendations for resolving technical and operational issues.

PENGUKURAN KUALITAS DATA UNTUK MENINGKATKAN APLIKASI SQA DI PT XYZ Ratna Yulika Go; Rahmi Julianasari; Ahmad Syaifulloh Imron; Yova Ruldeviyani
J-ICON : Jurnal Komputer dan Informatika Vol 11 No 1 (2023): Maret 2023
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v11i1.10138

Service Quality Assurance (SQA) is one of a unit in PT XYZ an Indonesian e-commerce company. SQA is responsible for ensuring and maintaining services given to customers by Customer Service agents to meet the company's quality standard. However, the application was built without integration with the Customer Relationship Management (CRM) system, the main customer service application at PT XYZ. The problem is that if companies need SQA data, they must manually input data from SQA to CRM. This can cause vulnerabilities in the data input process. As a result, it impacts the company's business processes, which are inefficient and can be detrimental both materially and immaterially. This research aims to provide recommendations to improve the quality of SQA data so that companies can use the data to be integrated into the CRM system. The Total Data Quality Management (TDQM) method was used for this study with three dimensions: completeness, validity and accuracy. The results of each dimension are 99.64% for completeness, 84.75% for validity, and 100% for accuracy. Business rules on the validity dimension that have the lowest data quality are V1 28.57% and V6 65.11%. The problem factors were identified as an incomplete data dictionary, incomplete and obsolete SOP documents, and no business processes and data control on the application. Recommendations to improve the data quality of the application are PT XYZ can conduct an in-depth study of business roles so that all business processes can be clearly defined and regulations can be set forth in SOP documents. The use of specific reference data for each domain can be used to increase data legitimacy and the level of data suitability.

Sentiment Analysis of Electricity Company Service Quality Using Naïve Bayes Yuli Astuti; Yova Ruldeviyani; Faris Salbari; Aldiansah Prayogi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 2 (2023): April 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i2.4627

In facing the era of technological disruption, a large company providing electricity in Indonesia, namely PT PLN is transforming to digitize all business processes and improve the quality of customer service. PLN Mobile application was developed in December 2020, and 18 million users have downloaded it. PLN Mobile application provides various electrical services for users. There are a lot of online opinions today. Organizations need to know the public perception of their product or service, sales projections, and customer happiness. Our research will identify public opinion (positive and negative) about PLN Mobile Application using sentiment analysis by taking review data from Google Play Store. Sentiment analysis is classified using Naïve Bayes and analyzed based on the dimensions of the quality of electricity services: empathy, responsiveness, and reliability. The results of this study indicate that Naïve Bayes is quite well used for binomial labels (positive and negative) with an accuracy of 73%. Still, for service quality dimensions, the accuracy is 45%. Indonesian language datasets are quite difficult to process due to non-standard language, foreign words, mixed language variations, and abbreviations. Determination of ground truth or manual labeling requires consistency and skilled personnel to determine the context of the text data to obtain a model with optimal performance. This study informs the classification of each dimension of the quality of electricity services in Indonesia based on positive and negative sentiment data for PLN Mobile Application users. Reliability received the most negative sentiments. This can be used for PT PLN to improve the quality-of-service reliability to customers.

Sentiment Analysis of Twitter Users to the PeduliLindungi Using Naïve Bayes Algorithm Lia Ellyanti; Yova Ruldeviyani; Lelianto Eko Pradana; Andro Harjanto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 2 (2023): April 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i2.4684

Covid-19 was declared as a pandemic by World Health Organization (WHO) in March 2020, has a major impact on the lives. Indonesian’s government has made several efforts to suppress the spread of the virus by requiring the societies to use PeduliLindungi in every activity. There are many pros and cons from the societies in using PeduliLindungi, many reviews about the performance of this application found through playstore, app store or social media. Twitter is one of social media that allows the societies to express their feeling, idea, opinion, or critics about any topics. This study takes the review of PeduliLindungi from Twitter with period from June up to December 2021, which has the highest cases of covid-19 and tighter movement restriction from the government. The data collected were manually labeling into positive and negative class and processed using sentiment analysis with Naïve Bayes algorithm, give the result 64.69% positive sentiment and 35.5% negative sentiment regarding PeduliLindungi. The model tested using Naïve Bayes algorithm with 10-fold cross validation has the highest performance, the accuracy obtained is 95.86%, with precision 96.99% and recall 94.12%. The positive sentiment indicates the pro expression from society, like the data integration with vaccine certificate, PCR or antigen result, that makes the activities to entry public transport or public space easily. The negative sentiment indicates the cons expression from the societies, related with the performance of the application and the data security. The result of this study expected being reference, give insight, and information for developers and governments to build a better strategy in improving the performance of PeduliLindungi application.

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

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.

FAKTOR-FAKTOR PENERIMAAN INDIVIDU DALAM IMPLEMENTASI TI DI PEMERINTAH KOTA BOGOR Layungsari Layungsari; Putu Wuri Handayani; Yova Ruldeviyani
Jurnal Sistem Informasi Vol. 11 No. 1 (2015): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

The use of Information Technology (IT) in public sector organizations cannot always be applied properly. This could lead to failure of Information Systems. Many literature states that successful implementation of an information system is very dependent on the acceptance level of the system by its users. The Government of Bogor City as a public sector organization in Indonesia has been active in the development of IT. From 2008 to 2013, the Government of Bogor City developed nine application, four of which has running with low utilization and the other five applications no longer operate as a result of very minimum user. This study analyzes the individual factors that influence the acceptance of implementation of IT in the Government Environment using TAM. This is quantitative Survey Research using sample of 410 employees of Bogor city. Data processing was performed using descriptive statistical techniques and PLS-SEM. The results prove that the Perceived Usefulness and Perceived Ease of Use has a significant influence on the Behavioral Intention to use IT at Government of Bogor City. Behavioral Intention has a significant influence on the Actual IT Use and Perceived Ease Perceived Ease of Use had a significant effect on the Perceived Usefulness.

Co-Authors Achmad Nizar Hidayanto Adi Gunawan, Adi Afif Gunung , Muhammad Ahmad Hendra Maulana Ahmad Syaifulloh Imron Al Adawiyah, Rabiah Al Haq, Muhammad Hezby Al Qahar, Muhammad Yazid Aldiansah Prayogi Alfiandi, Rama Aloysius Prastowo Setyo Nugroho Amanda Ghaisani Andro Harjanto Arif Hidayat Aris Budi Santoso Astagina, Shania Eriadhani Azis Amirulbahar Brillianto, Bramanti Desiana Nurul Maftuhah Devina, Fakhira Faris Salbari Fathurahman Ma'ruf Hudoarma Fidyawan, Miftahul Agtamas Fitriya, Ghina Hafiz , Muhammad Halida Ernita Handayani, Putu Wuri Hendry, Darell Hizqil, Ahmad I Made Kurniawan Putra Ines Dwi Andini Jeri Apriansyah Pagua, Jeri Apriansyah Juliansyah, Mohamad Denis Khairunnas, Rezki Khairunnaziri, Muhammad Krisna Maria Rosita Dewi Kurniawati, Monica Vivi Layungsari Layungsari Layungsari Layungsari Layungsari Layungsari Lelianto Eko Pradana Lia Ellyanti Mahsa Elvina Rahmawyanet Melani Puspasari, Hasna Muhammad Farhan Mukharomah, Ulfah Nur Nabasya, Oristania Wahyu Noverina Alfiany Nugraheni, Sani Prastowo, Rahardito Dio Pratiwi, Aprilia Priastomo, Ristyo Yogi Prisillia, Galuh Puja Putri Abdullah Purwandaru, Dhanang Putra, Ramadhoni Rahmad Mulyadi Rahman, Henry Aulia Rahmi Julianasari Raksaka Indra Alhaqq Ramayuda, Muhammad Davin Ratna Yulika Go Rina Rahmawati Sidiq, Darmawan Sudarwono, Dianto Adwoko Sulaeman, Achmad Firmansyah Syalevi, Rahmad Tri Broto Siswoyo Tri Utami, Avita Utami, Aisyah Nurlita Widoyono, Bambang Yoga Pamungkas Yudho Giri Sucahyo Yudho Giri Sucahyo Yudistira, Ricko Dwiki Yuli Astuti Zharif Mustaqim, Ilham Zulmy, Mohamad Faisal

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