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The Effect Of Information Flow, Information Adequacy And Interaction Supportiveness On Organizational Commitment With Job Engagement As An Intervening Fikri Budi Berliawan; Nursaid Nursaid; Riyanto Setiawan; Budi Santoso
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 14 No 1 (2026): Januari
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v14i1.8663

Abstract

This study aims to explore how information flow, information adequacy, interaction supportiveness, and job engagement impact organizational commitment. A descriptive and verificative approach was employed to examine the relationship between information flow, information adequacy, and interaction supportiveness on organizational commitment, with job engagement as the intervening variable. Data were collected through questionnaires, observations, and literature reviews involving a sample of 250 employees selected using accidental sampling. Hypothesis testing was conducted using path analysis with the assistance of SmartPLS software. The results show that information adequacy and job engagement have a direct influence on organizational commitment among Generation Y employees in the Surabaya–Sidoarjo area, while information flow and interaction supportiveness do not have a direct effect. However, the three variables (information flow, information adequacy, and interaction supportiveness) were found to significantly affect job engagement. Furthermore, job engagement was proven to mediate the effect of information flow, information adequacy, and interaction supportiveness on organizational commitment.
External Stakeholder’s Perspective on Local Government’s Performance Information (A Study of Administrative Information in Wajo Regency) Nawir, Muhammad Achyar
Jurnal Ilmiah Administrasi Publik Vol. 4 No. 3 (2018): Jurnal Ilmiah Administrasi Publik (JIAP)
Publisher : Badan Penerbitan Jurnal (BPJ) FIA-UB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiap.2018.004.03.9

Abstract

This study explored the relationship between the local government and the external stakeholders in the frame of the administrative performance information publication. The research findings show that poor practices of administration and the lack of social activism have kept the information asymmetry and goal conflict in existent. In addition, instead of making effort to overcome information asymmetry and goal conflict, the stakeholders preferred to exit the relationship. This is an exploratory single case study in the context of Wajo, a locale area with a long history of a moral system and democratic practices since the fifteenth century.
THE INFLUENCE OF ACCOUNTING INFORMATION SYSTEM, EMPLOYEE DISCIPLINE, AND ORGANIZATIONAL CULTURE ON ACCOUNTING INFORMATION QUALITY Nara Ika Prayendra; Rapina Rapina; Meythi Meythi; Riki Martusa; Tan Ming Kuang; Johannes Buntoro Darmasetiawan
ACCRUALS (Accounting Research Journal of Sutaatmadja) Vol. 10 No. 01 (2026): Accruals Edisi Maret 2026
Publisher : Sekolah Tinggi Ilmu Ekonomi Sutaatmadja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35310/accruals.v10i01.1292

Abstract

The development of accounting information systems in the era of technology and globalization is expected to improve the quality of accounting information. Moreover, the implementation of supporting work discipline and an organizational culture aimed at enhancing the quality of the resulting accounting information is also anticipated. However, in reality, the quality of accounting information produced, particularly within the government, remains relatively low. Previous research has examined the impact of various variables on the quality of accounting information systems. This study is conducted with the aim and novelty of determining the influence of accounting information systems, employee discipline, and organizational culture on the quality of accounting information. This type of research is quantitative, with the sample obtained using primary data through the distribution of questionnaires to employees in the accounting, finance, and tax departments of private companies, amounting to 80 respondents. The sampling technique in this study employs purposive sampling with the Structural Equation Model (SEM) research model. Data analysis utilizes SmartPLS. The results of the study indicate that the accounting information system does not significantly influence the quality of accounting information, whereas employee discipline and organizational culture have a significant effect on the quality of accounting information. With these findings, it is hoped that future research can use a larger data sample to achieve significant results and assist in the generalization of research findings. This study suggests that companies focus on improving discipline through training, supervision, and reward systems that support adherence to accounting procedures. Strengthening an organizational culture that emphasizes work discipline can also improve the quality of accounting information
Designing Digital Mading Information and Communication System (DMICS) as a Website-based Trusted Information Provider and Management Service M. Miftach Fakhri; Ainun Zahra Adistia; Jumadil Ahmad Safi’i; Rezka Haris; Awaluddin Yunus
Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v4i2.1118

Abstract

Technological advancement, today's technical sophistication makes everything easier. The internet is a component of today's technological sophistication. The purpose of this research is to develop a digital magazine system that will facilitate information assistance and the ability to provide information directly through the digital magazine website and play a role in increasing student reading and digital literacy. The development method used in this DMICS design is the agile method. The population used in this study were 48 students and lecturers in Makassar. Data obtained by data collection techniques in the form of literature study and online questionnaire distribution. The designed system is tested using Blackbox Testing to test the function of its features. The results of the study can be concluded that the Digital Mading Information & Communication System (DMICS) can be used as an information container for users. This is indicated from the results of the analysis of each construct has an average value of a good category where each construct of Behavioural Intention to Use (BI), Perceived Enjoyment (PE), Information Quality (IQ), Perceived Usefulness (PU), and System Quality (SQ) obtained a value range of 3.17-3.25. This shows that there is a relationship or influence from the dependent variable, namely, Behavioural intention to use (X1), Perceived enjoyment (X2), Information quality (X3), Perceived usefulness (X4), and System quality (X5) on the independent variable construct, namely actual usage behaviour (Y). Thus, the design of a digital mading information system or Digital Mading Information & Communication System (DMICS) is proven to be good for potential users as a forum for increasing digital literacy.
Artificial Intelligence (AI) and Machine Learning: The Future of Information Technology and Information Systems A. Aviv Mahmudi; Iyan Ramadhani
Information Technology Studies Journal (ITECH) Vol. 1 No. 1 (2024): Information Technology Studies Journal (ITECH)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/sk039108

Abstract

In the context of data and information management in large organizations, the integration of Artificial Intelligence (AI) and Machine Learning (ML) technology is an interesting research subject. This research aims to investigate the benefits, challenges and findings related to the use of this technology. Through a systematic literature review approach, the analysis results show that the integration of AI and ML has great potential to increase efficiency, productivity and innovation in large organizations in various industrial sectors. However, the research also identified challenges that need to be overcome, such as technical complexity, data security issues, and ethical considerations. The implications of this research highlight the importance of awareness of effective risk management and the development of appropriate strategies to optimize the benefits of AI and ML technologies while minimizing their risks and negative impacts. Overall, the integration of AI and ML is a promising area for further research, with the potential to provide significant positive impact for large organizations in this digital era.
Information Systems in Business: A Literature Study on Management Opportunities in Information Technology Ratih Septyanti
Jurnal Ilmu Komputer dan Sistem Informasi |JIKSI| Vol. 4 No. 1 (2023): Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI)
Publisher : Institute of Information Technology and Social Science (IITSS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61346/jiksi.v4i1.185

Abstract

Management constitutes a structured means of organizing, controlling, and regulating human resources to accomplish organizational objectives. It is indispensable for both personal and business purposes. When conducted systematically, management enables businesses to expand effectively and to adopt sound policies. In the digital era, however, the challenges of change management have become increasingly complex as advances in information and communication technology permeate nearly all aspects of human life. Consequently, it is necessary to identify the challenges and opportunities of change management in digital contexts and to adopt updated conceptual approaches grounded in technological progress. This study provides a qualitative literature review that synthesizes contemporary perspectives on information-technology–driven management practices. The findings aim to assist readers in understanding management concepts in information technology and their implications for organizational transformation and competitive performance.
EFFECTIVENESS OF THE INFORMATION SYSTEM INFORMATION SYSTEM IN THE MANAGEMENT OF PHARMACEUTICAL SUPPLIES OF HEALTH CENTERS IN JEPARA REGENCY. Sri Suwarni Suwarni
JIMSTEK: Jurnal Ilmiah Sains dan Teknologi Vol. 6 No. 01 (2024): JIMSTEK: Jurnal Ilmiah Sains dan Teknologi
Publisher : Fakultas Sains, Teknologi dan Kesehatan Universitas Sahid Surakarta

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

Abstract

Obat merupakan komponen penting yang harus tersedia di fasilitas perawatan kesehatan termasuk Puskesmas, obat menjadi bagian penting dari hubungan antara pasien dan fasilitas perawatan kesehatan, karena ketersediaan atau ketiadaan obat di fasilitas perawatan kesehatan akan berdampak positif atau negatif pada kualitas layanan. Karenanya kita membutuhkan manajemen yang baik dan benar serta efektif dan efisien secara berkelanjutan. Sistem Informasi Manajemen Obat (SIMO) adalah salah satu bagian yang terintegrasi dalam Sistem Informasi Kesehatan (SIK) yang merupakan tatanan manusia atau peralatan yang menyediakan informasi yang membantu proses manajemen manajemen obat (Niko, 2008). Tujuan dari penelitian ini adalah untuk mengetahui efektivitas penerapan sistem informasi manajemen obat dalam pengelolaan obat puskesmas di Kabupaten Jepara berdasarkan indikator kepuasan pengguna dan kualitas informasi yang mengacu pada kesesuaian stok obat. Penelitian ini adalah penelitian non-eksperimental dengan desain penelitian deskriptif. Data diambil secara retrospektif menggunakan pendekatan kuantitatif dari kuesioner dan lembar observasi data pada pengguna SIMO di 21 Puskesmas pada Desember 2023. Hasil penelitian menunjukkan bahwa efektivitas penerapan sistem informasi manajemen obat dalam mengelola obat-obatan Puskesmas di Kabupaten Jepara diklasifikasikan sebagai sangat efektif dengan skor persentase 83, 46% termasuk dalam interval di atas 80% yang berarti dikategorikan sangat efektif, ini didasarkan pada persentase skor masing-masing variabel, yaitu variabel kepuasan pengguna SIMO 68,95% puas, dan ada 31,05 % tidak puas, variabel kualitas informasi (kesesuaian data obat Puskesmas antara data obat di SIMO dan data obat nyata dalam stok kartu) adalah 97,97%.
DEVELOPMENT OF HOUSEHOLD INFORMATION SYSTEM BASED ON WEBSITE AT THE DIVISION OF COSTUMER’S DATA AND INFORMATION SYSTEM PT. PELABUHAN INDONESIA II (PERSERO) TANJUNG PRIOK Anie Rose Irawati; Mohamad Faisal Wijaya
Jurnal Komputasi Vol. 3 No. 2 (2015)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v3i2.1144

Abstract

This research is developed a Household Information System based on website. Household information system created for Division of Customer’s Data and Information System in PT. Pelabuhan Indonesia II (Persero) Tanjung Priok. This division handles issues related to the application, network, and multimedia. This information system is created to resolve issues related to submission procedures of damage-handling and submission procedure of new item, so that users can be more efficient in the utilization of time, effort and cost in performing the procedures. This information system is created using PHP programming language. The sequence of process performed is starting from entering data to be submitted, the approval of stakeholders and printing data that have been approved. The result of Black Box testing on the system using Equivalence Partitioning method shows that the system is functioning well and accordance with user requirements. Keywords : Development of Information System, Information System for Household Division, Submission of Damage-Handling
Comparison Algorithm for Diabetes Classification with Consideration of Mutual Information and Information Feature Rahmat Ramadhani; Triando Hamonangan Saragih; Muhammad Itqan Mazdadi; Muliadi Muliadi
Jurnal Komputasi Vol. 11 No. 1 (2023)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v11i1.6649

Abstract

Diabetes is a prevalent disease in humans that is caused by excessive sugar levels in the body. If left untreated, it can lead to severe consequences such as paralysis, decay in certain parts of the body, and even death. Unfortunately, early detection of diabetes is difficult, and many cases go untreated until it is too late. However, the development of technology has opened up new possibilities for early detection and treatment of diabetes. One such approach is classification, a commonly used method in the field of Computer Science. Classification is used in various fields, including health, agriculture, and animal diseases, to draw conclusions based on input data using cause-and-effect relationships. Many different learning concepts and methods can be used in classification, with the Decision Tree concept being one of the most popular examples. This study compares several classification methods, including Decision Tree, Random Forest, AdaBoost, and Stochastic Gradient Boost, with feature selections carried out using MI and IF. The study aims to evaluate the effectiveness of these methods and the influence of feature selection on improving their performance. Based on the results of the study, it can be concluded that feature selection using Mutual Information and Importance Feature can improve the classification accuracy in some methods, particularly in Random Forest, AdaBoost, and Stochastic Gradient Boost. However, the Decision Tree algorithm did not show any improvement in accuracy after feature selection. The best classification accuracy was achieved with the Stochastic Gradient Boost method using the original dataset without feature selection, while the Random Forest method showed the highest accuracy after using all the features. Overall, the results suggest that feature selection can be a useful technique for improving the performance of classification algorithms in diabetes prediction. The study suggests that future research could investigate other classification methods, such as Neural Network or Deep Learning, and use optimization algorithms like Genetic Algorithm or Particle Swarm Optimization to improve feature selection results.
The Urgency of Educational Management Information Systems (EMIS) in Managing Educational Data and Information Della Dhienytha Oktavia; Dwi Meli Noviani
Lentera Pendidikan: Jurnal Ilmu Pendidikan dan Keguruan Islam Vol. 1 No. 1 (2025)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/lpki.v1i1.5

Abstract

In the era of globalization, information systems play a crucial role in supporting the success of organizations, including educational institutions. Educational management information systems (SIMDIK) have become a primary necessity for managing data and information efficiently, replacing less effective manual methods. SIMDIK functions to collect, process, and disseminate information, thereby assisting educational institutions in planning and carrying out activities aligned with their vision, mission, and objectives to achieve quality education. This paper explores the basic concepts of information and information systems, including the relationship between facts, data, and information as the fundamental components of an information system. An information system is defined as a collection of components involving people, procedures, and data processing tools, both manual and electronic, working together to produce valuable information. By understanding these fundamentals, readers are expected to more easily comprehend the importance of SIMDIK in the field of education.

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