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Pengaruh Knowledge Management terhadap Organizational Effectiveness dan Organizational Learning Fujiama Diapoldo Silalahi; Muhammad Sholikhan
Manajemen SDM Vol 1 No 01 (2024): Juni: Jurnal Manajemen Sumber Daya Manusia
Publisher : PT Bisnis Digital Ekonomi

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Abstract

Permasalahan Utama : Pengaruh Suatu Knowledge Management (KM) Terhadap Organizational Efectivenes (OE) Dan Organizational Learning (OL). Tujuan : Penelitian ini akan difokuskan tentang pengaruh yang ada dari Knowledge manajement terhadap Organizational Efectiveness dan Organizational Learning. Originalitas : Pengaruh dari Knowledge Management Terhadap Organizational Efectivenes Dan Organizational Learning. Metode : Analisis Jalur adalah metode analisis yang digunakan untuk menguji pada suatu hubungan yang kausal dimana diduga masuk akal antara 2 variabel dalam kondisi non-eksperimen. Hasil :  Penelitian ini menunjukkan dimana bahwasannya suatu manajemen pada pengetahuan memiliki efek positif terhadap suatu efisiensi sebuah organisasi, tetapi bahwa manajemen pengetahuan yang juga cukup dikatakan baik belum tentu mampu mencapai suatu tingkat  suatu keefektifan pada organisasi yang diharapkan secara langsung di PT. Telkom Indonesia Divre IV Jateng juga menemukan bahwa manajemen pengetahuan memengaruhi pembelajaran organisasi, yang pada gilirannya akan memengaruhi tingkat keberhasilan organisasi.
Cash Sales Information System Multiuser Based On Human Computer Facilities Semarang Dwi Prasetyaningsih; Fujiama Diapoldo Silalahi; Toni Wijanarko Adi Putra
Journal of Engineering, Electrical and Informatics Vol. 3 No. 1 (2023): Februari : Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i1.2859

Abstract

Sarana Insan Computer (SIK), a sales company operating in the computer sector in Central Java, has utilized Information Systems even though they are not yet well integrated between one system and another. Therefore, in this thesis the author will develop a cash sales system model by choosing SIK as the research object. The cash sales information system created includes a system for ordering goods, sending goods, sales returns and cash sales reports. This research aims to make it easier to present reports directly, accurately, quickly and to enable systems that do not yet exist to be integrated into an integrated system. So that the cash sales information system can be implemented well, a software development process is carried out which is based on correct software engineering. The software development model used in this research is a multiuser development model. Information technology which is developing rapidly today really provides support for the development of a cash sales information system for a computer sales company such as SIK, especially with the use of computer-based information technology or better known as a Computer Based Information System, because of the use of computer technology in a system. information will be able to process data more quickly with minimal error rates, save labor and save costs. The Cash Sales Information System is designed using direct data processing methods. The use of the direct data processing method is intended so that every incident of cash sales information can be processed directly. The procedures that will be processed consist of the administration section which handles administration, the purchasing section which handles incoming goods, the sales section which handles customer service and the computer goods sales section, the personnel section and the leadership itself.
Harnessing Artificial Intelligence for Inclusive Education: A Study of Trends, Technologies, and Challenges Sholikhan, Muhammad; Silalahi, Fujiama Diapoldo
Journal of Education and Teacher Development Vol. 1 No. 1 (2025): June: Journal of Education and Teacher Development
Publisher : CV. Simpati Cloud

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Abstract

This study investigates the utilization of Artificial Intelligence (AI) in fostering inclusive education for students with disabilities. Drawing on current literature and visualized trends from 2018 to 2024, this research outlines the rapid growth of AI-related publications addressing inclusive pedagogy. The study maps the key technological applications—ranging from assistive tools and adaptive learning systems to virtual tutoring platforms—and identifies their pedagogical functions in supporting diverse learner needs. It further examines the ethical, infrastructural, and pedagogical challenges encountered in implementation, such as algorithmic bias, limited teacher training, and digital inequality. The findings reveal that AI can significantly enhance accessibility and autonomy for students with disabilities when applied through empathetic, well-regulated, and collaborative frameworks. This paper recommends the development of inclusive and participatory AI design, investment in teacher capacity building, and stronger policy infrastructure to ensure equitable access to AI-powered learning environments. Future directions highlight the importance of ethical considerations and the active involvement of marginalized communities in shaping inclusive digital ecosystems.