Claim Missing Document
Check
Articles

Found 3 Documents
Search

PEMODELAN ARSITEKTUR ENTERPRISE MENGGUNAKAN ENTERPRISE ARCHITECTURE PLANNING UNTUK MENDUKUNG SISTEM INFORMASI AKADEMIK DI JURUSAN TEKNIK INFORMATIKA STMIK DARMAJAYA BANDAR LAMPUNG Nisar Zaidal; Joko Triloka
Jurnal Informatika Vol 8, No 1 (2008): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v8i1.607

Abstract

The way of determining information system form able to fulfil requirement of business and aligning with organizational business growth is to develop enterprise architecture. Enterprise architecture defines a process for organizing and directing information system development plan, what consist of data architecture, application architecture and technology architecture to obtain management commitments and support in integrated information system development implementation. Methodology being used in modelling this architecture is Enterprise Architecture Planning (EAP). EAP defines a process for enterprise architects that emphasize interpersonal skills and techniques for organizing and directing enterprise architecture project, obtaining management commitment, presenting the plan to management and leading the organization through the transition from planning to implementation. Research place taken as case study is Informatics Faculty at Business and Informatics Institute Darmajaya Business modelling phase is a process which create business model as representative form that defined business comprise of business function performed by enterprise. Business model used as a basic on define three architecture and making implementation plan. Result of modelling business function in Informatics Faculty at Business and Informatics Institute Darmajaya is defined counted 27 detail business function. Data architecture gets 23 data entities candidate and relationship among others. Application architecture obtains by 20 application candidate. While technological architecture yield conceptual network architecture and enterprise business system architecture.
DETERMINAN FAKTOR YANG MEMPENGARUHI KUALITAS MANAJEMEN MUTU PERGURUAN TINGGI SWASTA: INTEGRASI METODE REGRESSION ANALYSIS DAN ANALYTIC HIERARCHY PROCESS Supriyadi Supriyadi; Joko Triloka; Mieke Rahayu
JURNAL EDUCATION AND DEVELOPMENT Vol 12 No 2 (2024): Vol 12 No 2 Mei 2024
Publisher : Institut Pendidikan Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37081/ed.v12i2.5797

Abstract

Persaingan yang kompetitif dan perubah teknologi menuntut Perguruan Tinggi Swasta (PTS) mampu beradaptasi dengan perkembangan teknologi dan tuntutan masyarakat untuk menghasilkan lulusan yang unggul. Penelitian ini bertujuan untuk menginvestigasi beberapa faktor penting yang mempengaruhi kualitas manajemen mutu PTS. Metode penelitian mengintegrasikan analisis regresi untuk menguji pengaruh dan Analytic Hierarchy Process (AHP) untuk menentukan faktor prioritas. Sampel penelitian menggunakan 6 Perguruan Tinggi Swasta di Provinsi Lampung dengan penentuan sampel menggunakan purposive judgment sampling. Bukti empiris menunjukkan bahwa Kepemimpinan, Sumber Daya Manusia, Pengorganisasian, Infrastruktur sarana dan prasarana berpengaruh signifikan terhadap kualitas manajemen mutu PTS. Selain itu penelitian ini menunjukkan hasil pengujian bahwa Sumber Daya Manusia merupakan faktor yang paling kuat menentukan Kualitas Manajemen Mutu PTS . Hasil penelitian ini digunakan sebagai paramater bagi manajemen PTS dalam meningkatkan kualitas mutu PT untuk mencapai akreditasi Unggul.
Analisis Sentimen Netizen Terhadap Efisiensi APBN Menggunakan Orange Data Mining Anto Febria; Joko Triloka
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 5 No. 3 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v5i3.7368

Abstract

The government's policy of APBN efficiency in 2025 has caused debate on social media including the X application (Twitter). Social media users and activists convey comments and opinions according to their respective sentiments, whether they agree, disagree, or are neutral towards government policies. This study will try to analyze sentiment on netizens' opinions and views using the Orange Data Mining application with the Sentiment Analysis - Multilingual Sentiment method. Testing is also carried out using the Naïve Bayes algorithm to measure the level of accuracy and prediction error. The results of the sentiment analysis in this study are that most support the APBN efficiency policy with a level of confidence and accuracy approaching 100%.