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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 International Journal of Advances in Data and Information Systems Jurnal Sistem Komputer dan Informatika (JSON) 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 Eduvest - Journal of Universal Studies 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
Aerospace Engineering 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 Neuroscience Nursing Public Health Social Sciences Transportation Other

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Analisis Pengaruh Gratifikasi Sosial Media TikTok terhadap Transactive Memory System (TMS) dalam Adopsi Informasi Kesehatan Obesitas Cahyaningtyas, Astri; Hidayanto, Achmad Nizar
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.v13i4.4269

Abstract

Obesity has become a global issue with increasing prevalence across various age groups, including children and adults. Obesity increases the risk of non-communicable diseases such as diabetes, heart disease, and cancer. Accurate health information is crucial for the prevention and management of obesity in Indonesia. However, the dissemination of inaccurate information on social media platforms like TikTok poses significant challenges. This study analyzes the motivation behind the adoption of health information via TikTok by integrating the Uses and Gratification Theory (UGT) and the Transactive Memory System (TMS). Data were collected from 255 respondents through an online questionnaire. The data were analyzed using SmartPLS with PLS-SEM. The results of the study indicate that gratifications such as social interaction and personalization have a significant influence on all dimensions of TMS. Furthermore, all three dimensions of TMS significantly impact information adoption. These findings provide insights into the utilization of TikTok for health education related to obesity in Indonesia.
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.
Factors Influencing and Information Technology Interventions for Nurse Compliance on Patient Safety: A Systematic Review Setiawati, Deni; Setyowati, Setyowati; Hariyati, Rr. Tutik Sri; Mediati, Ati Surya; Hidayanto, Achmad Nizar; Tuba, Syahrul
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 4 (2024): February
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i4.3473

Abstract

Patient safety is a critical global issue, prevalent in many countries. This research aims to review publications and literature regarding the factors and interventions that aid in nurse compliance with patient safety measures. Due to limited published studies on this topic, we conducted a systematic review to identify these factors and interventions based on existing literature. We searched  databases including Scopus, Science Direct, PubMed, and ClinicalKey Nursing, using specific keywords, filtering 1918 articles down to 22 articles for analysis. The study reveals that nurse implementation of patient safety is influenced by organizational culture and leadership, resource accessibility, physical facilities, communication and collaboration, workload and job satisfaction, nurses' knowledge and skills, demographic factors, and their attitudes and perceptions. Interventions for enhancing nurse compliance in patient safety include providing training and education through technological approaches, and health service delivery via information technology systems. This review offers insights into resolving nurse compliance issues in patient safety, highlighting the importance of not only individual nurses but also hospital management and the healthcare delivery system. Effective management strategies to increase  nurse compliance in patient safety should involve hospital authorities and improvements in the nursing service system.
Perceived implementation of patient safety compliance among nursing supervisors in military hospitals: a descriptive qualitative study Setiawati, Deni; Setyowati , Setyowati; Hariyati, Rr. Tutik Sri; Mediawati, Ati Surya; Hidayanto, Achmad Nizar; Putro, Prasetyo Adi Wibowo
Jurnal Ners Vol. 19 No. 2 (2024): MAY 2024
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jn.v19i2.55321

Abstract

Introduction: Patient safety incidents remain high in Indonesia and are a significant responsibility of nursing supervisors working in military hospitals. The purpose of this study was to explore the understanding and perception of nursing supervisors in implementing patient safety compliance in military hospitals. Methods: A descriptive qualitative approach was conducted with nursing supervisors at a military hospital through in-depth interviews. A total of 25 nursing supervisors from military hospitals participated in the interviews. The content analysis was employed to analyze the interview data. Results: Five themes were identified in this study: patient safety as our responsibility, implementation in practice, support in safety initiatives, barriers to safety goals, and tech-driven safety efficiency. Conclusions: The findings underscore that an in-depth understanding by nursing supervisors is critical to fostering appropriate behavior, particularly in achieving patient safety goals. Nursing supervisors articulated expectations for improvements in healthcare quality. As healthcare professionals, nursing supervisors must grasp the significance of a patient safety approach and be adept at executing it to enhance the quality of care, which will, in turn, lead to better healthcare outcomes.
Critical Success Factors of Multichannel Integration Quality: A Case In E-Commerce Integrated Chat Application Fakhri Mubarak, Muhammad; Hidayanto, Achmad Nizar
Action Research Literate Vol. 8 No. 3 (2024): Action Research Literate
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/arl.v8i3.325

Abstract

Selama bertahun-tahun, internet telah hadir untuk memfasilitasi teknologi di berbagai sektor, salah satunya adalah ritel multisaluran. Internet memungkinkan banyak bisnis tradisional untuk berkembang menjadi peritel multisaluran dengan melengkapi penawaran toko mereka dengan saluran online untuk meningkatkan efisiensi operasional dan meningkatkan kepuasan pelanggan. Namun, hal ini menimbulkan kesenjangan bagi perusahaan yang ingin memulai perjalanan implementasi integrasi multisaluran mereka, di mana mereka harus memfokuskan sumber daya mereka untuk berhasil mengimplementasikan integrasi multisaluran. Penelitian ini bertujuan untuk menentukan faktor penentu keberhasilan (critical success factor/CSF) kualitas integrasi multichannel pada e-commerce dengan menggunakan metode Analytical Hierarchy Process (AHP) untuk analisis data. Penelitian ini dilakukan pada sebuah perusahaan yang menawarkan integrasi multichannel e-commerce. Penelitian ini dilakukan melalui studi literatur dan wawancara dengan dua orang pemangku kepentingan dari proyek integrasi multichannel e-commerce sebagai ahli untuk penelitian ini dan kemudian menyebarkan kuesioner kepada dua orang yang terlibat dalam proyek tersebut. Terdapat 14 faktor yang dievaluasi, yang terdiri dari tiga faktor yang berhubungan dengan konfigurasi layanan channel, dua faktor yang berhubungan dengan konsistensi konten, dua faktor yang berhubungan dengan konsistensi proses, tiga faktor yang berhubungan dengan jaminan, dua faktor yang berhubungan dengan timbal balik channel, dan dua faktor yang berhubungan dengan hubungan dengan pelanggan. Di antara 14 faktor tersebut, konsistensi sistem merupakan faktor yang paling penting, diikuti oleh keluasan pilihan saluran, konsistensi informasi, dan aksesibilitas pemulihan layanan
Engagement Masyarakat dan Content Analysis terhadap Akun Instagram Lembaga Kementerian Pangesti, Dyah; Hidayanto, Achmad Nizar
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i3.14876

Abstract

Penelitian terkait engagement pada sektor publik pada media sosial Instagram masih jarang dilakukan sehingga belum banyak hasil evaluasi untuk peningkatan engagement masyarakat maupun perbaikan kualitas konten. Penelitian ini bertujuan untuk menganalisis tingkat engagement masyarakat dan karakteristik konten pada akun Instagram Lembaga Kementerian Kabinet Indonesia Maju. Data profil dan post dikumpulkan dari 34 akun dari awal waktu akun tersebut dibuat. Penarikan data menggunakan service tools yang dikembangkan oleh Phantombuster. Analisis data dilakukan secara kuantitatif untuk melihat pengaruh variabel yang mempengaruhi tingkat engagement akun Lembaga Kementerian dan secara kualitatif untuk melihat karakteristik konten dengan memilih 5 post yang memiliki tingkat engagement tertinggi dari setiap akun Lembaga Kementerian. Hasil analisis ditemukan bahwa semakin banyak jumlah post semakin tingkat engagement, namun jumlah follower tidak memberikan pengaruh yang signifikan begitupun dengan media type. Sedangkan komponen karekteristik konten yang dianalisis (content type, dialogic loop, dan information richness) memberikan deskripsi yang berbeda.
Rancangan Data Governance Menggunakan Panduan Data Management Body of Knowledge (DMBOK): Studi Kasus PT XYZ Nazar, Rizal Mochamad; Hidayanto, Achmad Nizar
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i3.14903

Abstract

Pemanfaatan teknologi digital telah mengubah lanskap bisnis, mendorong PT. XYZ, perusahaan teknologi informasi, untuk melakukan transformasi digital. Namun, tantangan dalam manajemen data muncul akibat kurangnya tata kelola data yang terstruktur. Penelitian ini bertujuan untuk merancang tata kelola data yang sesuai dengan kebutuhan organisasi. Metode yang digunakan meliputi wawancara, tinjauan dokumen, observasi, dan data governance maturity assessment untuk mengukur tingkat kematangan tata kelola data. Hasil penelitian menunjukkan bahwa tingkat kematangan tata kelola data PT. XYZ berada pada level 1 (performed) dengan angka 1,7. Berdasarkan analisis, dirancanglah pemetaan peran dan aktivitas, struktur data governance, strategi, kebijakan, roadmap, dan strategi implementasi data governance yang sesuai. Dari hasil analisis tersebut, disarankan delapan inisiatif strategi data governance yang dapat diterapkan oleh PT. XYZ, diharapkan menjadi solusi dalam mengatasi permasalahan data organisasi.
The Maturity Model of Data Quality Management in Banking Industry: PT XYZ Core System Customer Data Mulyadi, Rahmad; Ruldeviyani, Yova; Alfiany, Noverina; Hidayanto, Achmad Nizar
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.
Evaluation of Maturity Level and Recommendations for Improvement of Software Testing Process Based on Test Maturity Model Integration (TMMi): A Case Study Prastiti, Rizdiani Tri; Hidayanto, Achmad Nizar
Jurnal Komtika (Komputasi dan Informatika) Vol 7 No 2 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v7i2.9628

Abstract

XYZ company as one of the companies that provides Over-The-Top (OTT) services has problems related to defects that pass into the production environment caused by an ineffective testing process. This has an impact on user satisfaction as indicated by various user complaints when using the application. It is necessary to evaluate the maturity level which shows the ability to perform software testing and what recommendations can be given to improve the software testing process. Test Maturity Model Integration (TMMi) as a model for improving the software testing process has been widely known to improve the testing process and positively impact product quality. XYZ company, which is looking to improve its software testing process, uses the TMMi model as a reference to determine the maturity level of the testing process and provide best practices for the testing process. The assessment was conducted using the TMMi Assessment Method Application Requirement (TAMAR) and information was collected using the Delphi method. The assessment is carried out in the process area at the maturity level of level 2 and produces a rating value of P (Partially Achieved) so that the maturity level of the XYZ company software testing process is level 1 (Initial). Recommendations are prepared based on specific practices in the Test Planning and Test Environment process areas that still have weaknesses that must be improved to reach maturity level 2 (Managed). The process of preparing recommendations is assisted by the Deming cycle which is then validated with stakeholders whether these recommendations can be implemented according to the needs of XYZ company to improve the testing process.
CNN-LSTM with Multi-Acoustic Features for Automatic Tajweed Mad Rule Classification Anggraini, Nenny; Rahman, Yusuf; Hidayanto, Achmad Nizar; Sukmana, Husni Teja
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1062

Abstract

The rules of mad recitation in the Qur’an are a crucial aspect of tajwīd, governing the lengthening of vowel sounds that affect both meaning and recitational accuracy. Despite its importance, there is currently no reliable automatic system capable of classifying mad rules based on voice input. This study proposes a deep learning-based approach using a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) model to automatically classify mad rules from Qur’anic recitations. The research follows the CRISP-DM methodology, covering data understanding, preparation, modeling, and evaluation stages. Acoustic features were extracted from 3,816 annotated audio segments of Surah Al-Fātiḥah, combining Mel-Frequency Cepstral Coefficients (MFCC), Chroma, Spectral Contrast, and Root Mean Square (RMS) to represent phonetic and prosodic attributes. The CNN layers captured spatial characteristics of the spectrum, while LSTM layers modeled temporal dependencies of the audio. Experimental results show that the combination of all four features achieved an accuracy of 97.21%, precision of 95.28%, recall of 95.22%, and F1-score of 95.25%. These findings indicate that multi-feature integration enhances model robustness and interpretability. The proposed CNN-LSTM framework demonstrates potential for practical deployment in voice-based tajwīd learning tools and contributes to the broader field of Qur’anic speech recognition by offering a systematic, ethically grounded, and data-driven approach to mad classification.
Co-Authors . Herianto . Herianto . Herianto . Herianto Ade Irma Suryani Adhiawan Soegiharto Agri Fina Agung Terminanto Agus Harjoko Ahmadin, Yudhiansyah Ajie Tri Hutama Alfatianisa, Kirana Alfiany, Noverina Anang, Yunarso Aniati Murni Arymurthy Anita Muliawati Antia Antia Ardiati Utami Sarjono Arthamevia, Aisha 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 Chris Solontio Debi Setiawan, Debi Devi Fitrianah Dewi Puspa Dewi Puspasari Diah Kumalasari Dian Setia Hartana Dian Setia Hartana Dian Setia Hartana Diane Fitria Dwiza Riana Dyna Marissa Khairina Ejo Imandeka Ermawan, Geri Yesa Ernawati Pasaribu, Ernawati Fahmi, Rizki Ali Fajar Budi Utomo Fakhri Mubarak, Muhammad Fatimah Azzahro Febiani, Dyah Ayu Fitri Kartiasih 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 Husni Teja Sukmana 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 Mahdi, Askarul 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 Nafiiyah, Nur Nazar, Rizal Mochamad Nenny Anggraini, Nenny 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 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 Ramadiani - Rania Azzahra Rayhan Anandya Reihan Putra Oktavio Rifqi Firdaus Al Jauhari 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 Simanjuntak, Almon Junior Sita Wardhani Solontio, Chris Suryana Setiawan Suryana Setiawan Syafiq Abdillah U. Syafira, Adinda Rizkita Syahrul Alam Suriazdin Syahrul Tuba Syanandi, Muhammad Destara Theresiawati Tri Wicaksono, Hari Prasetyo Trimanadi, Raden Untung Rahardja Wachid Yoga Afrida Wahyu Catur Wibowo Widijanto Satyo Nugroho Wilantika, Nori Wisnubroto, Agus Sigit Yova Ruldeviyani Yuda Irawan Yudhiansyah Ahmadin Yudhiansyah Ahmadin Yudhiansyah Ahmadin Yudhianto, Riswan Haryo Yudi Ramdhani Yusuf Rahman Zikri Irfandi