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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) JIK Jurnal Ilmu Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Teknologi Informasi dan Ilmu Komputer Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang Jurnal Pengabdian Masyarakat AbdiMas JURNAL TEKNOLOGI DAN OPEN SOURCE KOMPUTEK CCIT (Creative Communication and Innovative Technology) Journal Poltekita : Jurnal Ilmu Kesehatan Jurnal Ilmu Manajemen Terapan (JIMT) Al-Istinbath: Jurnal Hukum Islam IIJSE Quantum Wellness : Jurnal Ilmu Kesehatan Green Inflation: International Journal of Management And Strategic Business Leadership Jurnal Ilmu Komputer dan Informatika Global Management: International Journal of Management Science and Entrepreneurship Paradigma: Jurnal Filsafat, Sains, Teknologi, dan Sosial Budaya Jurnal Komputer, Informasi dan Teknologi
Munawar
Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Esa Unggul
Religion Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Peran Teknologi Komunikasi dan Organisasi dalam Meningkatkan Manfaat Bersih Penggunaan Sistem Informasi Rumah Sakit Dimediasi Kontrol Perilaku Iwan Ridwanudin; Munawar Munawar; Idrus Jus'at
Jurnal Ilmu Manajemen Terapan Vol. 7 No. 4 (2026): Jurnal Ilmu Manajemen Terapan (Maret - April 2026)
Publisher : Dinasti Review Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jimt.v7i4.8205

Abstract

Penerapan Sistem Informasi Rumah Sakit (SIRS) di RS P Bogor dimulai November 2022. Namun, dalam pelaksanaannya, masih ditemukan berbagai kendala terkait aspek organisasi, teknologi komunikasi, dan kontrol perilaku dipersepsikan yang berpotensi menurunkan manfaat bersih. Penelitian ini bertujuan menganalisis pengaruh organisasi dan teknologi komunikasi terhadap manfaat bersih penggunaan SIRS dengan kontrol perilaku dipersepsikan sebagai variabel mediasi. Desain penelitian menggunakan pendekatan kuantitatif eksplanatori kausalitas dengan metode survei. Subjek penelitian terdiri dari perawat, petugas pendaftaran, dan farmasi di RS P Bogor, total 121 responden. Data dikumpulkan melalui kuesioner dengan teknik purposive sampling. Uji hipotesis dilakukan menggunakan analisis jalur (path analysis), Sobel test dan Macro Process untuk menguji efek mediasi. Hasil penelitian menunjukkan adanya pengaruh positif dan signifikan secara simultan dari organisasi, teknologi komunikasi, dan kontrol perilaku dipersepsikan terhadap manfaat bersih. Secara parsial, organisasi, teknologi komunikasi dan kontrol perilaku dipersepsikan berpengaruh langsung terhadap manfaat bersih. Selain itu, kontrol perilaku dipersepsikan memediasi secara signifikan pengaruh organisasi dan teknologi komunikasi terhadap manfaat bersih. Hasil penelitian menyimpulkan penerapan SIRS di RS P Bogor, diterima oleh pengguna dan dinilai berhasil, dengan organisasi dan teknologi komunikasi berperan penting dalam meningkatkan manfaat bersih melalui peningkatan kontrol perilaku pengguna. Penelitian ini memberikan rekomendasi implikasi praktis bagi manajemen rumah sakit dalam meningkatkan efektivitas implementasi SIRS. 
Sentiment Analysis of Marketplace Application Reviews Using Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) Arief Ichwani; Munawar; Rilla Gantino
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 7 No. 2 (2024): Jurnal Teknologi dan Open Source, December 2024
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v7i2.4972

Abstract

Shopee is one of the most popular online marketplaces in Indonesia, with more than 103 million users in 2023. Most users consider factors such as customer reviews, ratings, prices, and free shipping promotions before making a purchase. Analyzing user reviews is essential to understand consumer perceptions of services, identify satisfaction or dissatisfaction, and detect potential issues that need to be addressed. However, sentiment analysis faces challenges in processing text with diverse language styles, structures, and informal expressions. To overcome these challenges, this study applies machine learning algorithms—Support Vector Machine (SVM) and K-Nearest Neighbors (KNN)—for classifying sentiment in Shopee user reviews. Data labeling using the Lexicon InSet method produced 9,509 positive reviews (47.55%), 7,686 negative reviews (38.43%), and 2,805 neutral reviews (14.03%). Based on the Confusion Matrix results, SVM outperformed KNN, particularly in classifying negative and neutral sentiments with higher accuracy. These findings indicate that SVM is a more effective and efficient model for sentiment analysis of user reviews on the Shopee platform.
Perceived Usefulness and Ease Influence Outpatient Inten-tion to Use Electronic Medical Records Through User Atti-tudes Suwanda Hendrawan; Munawar Munawar; Duta Liana
Green Inflation: International Journal of Management and Strategic Business Leadership Vol. 3 No. 2 (2026): May: Green Inflation: International Journal of Management and Strategic Busines
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/greeninflation.v3i2.723

Abstract

This study examined the influence of perceived usefulness and perceived ease of use on the intention to use electronic medical records (EMRs) with attitude as an intervening variable at Cenka Hospital. Differences in staff perceptions regarding the benefits and convenience of EMR implementation were identified as factors contributing to the low intention to use the system. Some healthcare workers perceived limited benefits from EMRs, reducing their motivation to utilize the technology effectively. The study aimed to identify strategic factors that could improve EMR adoption, particularly attitudes, perceived usefulness, and perceived ease of use.A quantitative causal research design was employed using descriptive analysis and the three-box method. The respondents consisted of 70 hospital staff members selected through a saturated sampling (census) technique. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).The findings revealed that perceived usefulness, perceived ease of use, and attitude each had a significant positive effect on the intention to use EMRs. In addition, perceived usefulness and perceived ease of use positively influenced users’ attitudes toward EMR implementation. However, attitude did not mediate the relationship between perceived usefulness and intention to use EMRs, nor the relationship between perceived ease of use and intention.The study recommends improving staff competence through continuous training, strengthening information technology support teams, regularly updating EMR systems, and enhancing infrastructure such as internet speed and computer specifications to optimize EMR utilization and reduce patient care errors.
Lexicon-based comparison for suicide sentiment analysis on Twitter (X) Munawar Munawar; Dwi Sartika; Fathinatul Husnah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 5: October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i5.25711

Abstract

Suicidal individuals frequently share their desires on social media. As a result, it was determined that a learning machine for early detection of suicide issues on social media was required. This study aims to examine Twitter (X) users’ suicide-related sentiment expressions. The results of searching X for the keywords ‘suicide’, ‘wish to die’, and ‘want to commit suicide’ for 4 months yielded 5,535 tweets. Following the cleaning process, 2,425 tweets were collected. The findings of labeling with the lexicon-based valence aware dictionary and sentiment reasoner (VADER) and Indonesia sentiment (INSET) lexicon, which psychologists confirmed, revealed that VADER was more accurate (92.1%) than INSET (81.6%). Sentiment research reveals negative (86.4%), positive (11.1%), and neutral (2.5%) sentiment. Support vector machine (SVM), K-nearest neighbor (KNN), and Naïve Bayes modeling results show accuracy above 86%, with SVM having the best accuracy (87.65%). Because of its great accuracy, this model can be used to identify and analyze suspicious behavior relating to suicide on X. Further research is still required, despite the excellent identification of early indicators of suicide ideation from social media posts.
Rancang Bangun Aplikasi Pengelolaan Akun Zoom Meeting Di PT PLN Energi Primer Indonesia Berbasis Web Rizal Mutakin; Munawar Munawar
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 2 No. 2 (2025): Oktober - Desember
Publisher : GLOBAL SCIENTS PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Online meeting activities have become mandatory since the Covid-19 pandemic. PT PLN Energi Primer Indonesia has utilized the zoom cloud meeting application to use remote meetings for internal and external use. However, in practice, the process of ordering and creating meeting schedules is still done manually and has not been integrated so that this is felt to be less than optimal and can lead to errors caused by someone (human error) which results in clashes in the schedule for using the zoom meeting account. The purpose of this research is to design a web-based zoom meeting management application at PT PLN EPI. The system development method is Rapid Application Development (RAD). The system design uses the programming language PHP and MySQL as the database. System testing is done using black box testing. The results of this study are the successful creation of a web-based zoom meeting account management system at PT PLN EPI which is able to improve the quality of zoom meeting account management so that management related to zoom meeting scheduling can be carried out automatically because it is already integrated by the system, which can avoid clashes in the use of zoom accounts .
Driving Digital Value in Healthcare: The Mediating Role of Intention to Use in the Relationship Between System Factors and Net Benefit Among Users of the Hospital Information System (HIS) in the Medical Check-Up Unit XY Private Hospital Indonesia 2025 Indri Rengganis Budi Utomo; Munawar Munawar; Ratna Indrawati
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 9 No 2 (2026): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v9i2.9288

Abstract

This study was grounded on observations indicating that the utilization rate of the Hospital Information Management System (HIS) WPRO at the Medical Check-Up (MCU) Unit of XY Hospital remains relatively low. The purpose of this research is to analyze the influence of Information Quality, System Quality, Facilitating Conditions, Subjective Norm, and Intention to Use on the Net Benefit of HIS usage at the MCU Unit of XY Hospital, employing a modified DeLone & McLean Information System Success Model. This study used a quantitative approach with a causal design. The study population consisted of all hospital staff involved in the Medical Check-Up (MCU) services, totaling 84 respondents. Sampling was carried out using a probability sampling method with a saturated sample, as all eligible MCU personnel were included in the study. Data were collected through questionnaires and analyzed using Structural Equation Modeling–Partial Least Squares (SEM–PLS). The results demonstrate that Information Quality, System Quality, Facilitating Conditions, Subjective Norm, and Intention to Use simultaneously exert a significant influence on the Net Benefit of HIS utilization (p < 0.05). Theoretically, these findings support the propositions of prior research and confirm the relevance of established IS success models. From a managerial perspective, the results provide practical recommendations for XY Hospital to enhance HIS implementation by improving data integration, strengthening information security protocols, and increasing organizational support. These initiatives are expected to foster stronger user intention and, ultimately, lead to greater tangible benefits from HIS implementation in healthcare operations.
Co-Authors Akbar, Habibullah Alfa Punky Irawan Anastina Tahjoo Anugra M Arrozi, Muhammad Fachrudin Budi Tjahjono Duta Liana Dwi Sartika Edi Kartawijaya Endang Ruswanti Fachriza, Mohammad Fathinatul Husnah Gerry Firmansyah Ichwani, Arief Idrus Jus&#039;at Idrus Jus’at Ikhsan Febriansyah Indri Rengganis Budi Utomo Iwan Ridwanudin Keishatyanarsa Kuntjoro Kusumapradja, Rokiah Marzuki Pilliang Mohammad Amada Mohammad Amada Mohammad Fachriza Mugiono, Arif Mugiyono, Arif Muhammad Abduh Nizirwan Anwar Nofierni, Nofierni Pilliang, Marzuki Rasipin Rasipin Ratna Indrawati Riadi, Yosua Rian Adi Pamungkas Rifqi Adi Prasetya Rizal Mutakin Ryzha Ryskyanty Santosa, Nugroho Budhi Sejati, Puteri Setiawati, Popong Suwanda Hendrawan Yulhendri Yulhendri Zulfiandri Zulfiandri