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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Dinamisia: Jurnal Pengabdian Kepada Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal AKSI (Akuntansi dan Sistem Informasi) JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi JIA (Jurnal Ilmiah Akuntansi) Jurnal Informatika Global DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Abdimas Mandiri Reswara: Jurnal Pengabdian Kepada Masyarakat
Faradillah Faradillah
Universitas Indo Global Mandiri
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Jurnal Informatika Global

 1 
Digitalisasi Manajemen Dokumen Terintegrasi Berbasis Sistem Informasi pada Perusahaan Logistik: Tinjauan dari Sisi Spesifikasi dan Arsitektur Muhammad Fadhiel Alie; Dana Indra Sensuse; Faradillah Faradillah
Jurnal Informatika Global Vol 12, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v12i1.1543

Abstract

Multi Artha Sarana Solusi Inc. (MASS Cargo) is a logistic company providing freight forwarder service. MASS Cargo has a business process of service sales prioritizing lead time delivery. Another thing that becomes the main focus of the company’s business process is the quickness of document & administration report collection. However, it becomes the main problem faced by MASS Cargo since it affects to the delayed of invoice billing to the customers, impacting on the company’s cash flow directly. This research does an information system specification design which will be used as the main system and be able to help the smoothness of the document collection & report. Analysis of the business process, document, and interview with the stakeholders is used as referrals in the designing so that the information system corresponds to company’s need. The methodology used in the information system specification design is Rational Unified Process (RUP). RUP disciplines done in this research are requirement and analysis & design on inception & elaboration phases with 3 iterations. The result of this research are artifact documents representing the needs of the MASS Cargo’s integrated document management information system and mockup collection that has been validated by the users. Keywords : Specification Design, Information System, Integrated Document, Rational Unified Process, MASS Cargo
Prediksi Data Time Series Harga Penutupan Saham Menggunakan Model Box Jenkins ARIMA Imelda Saluza; Dewi Sartika; Lastri Widya Astuti; Faradillah Faradillah; Leriza Desitama; Endah Dewi Purnamasari
Jurnal Informatika Global Vol 12, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v12i2.1940

Abstract

The ability to predict time series data on closing market prices is critical in determining a company's stock results. The development of an efficient stock market has a positive correlation with economic growth, in a country both in the short and long term. In practice, investors tend to invest in countries that have a stable economy, low crime. The rise and fall of stock prices has made many investors develop various effective strategies in predicting stock prices in the future with the aim of making investment decisions so that investors can guarantee their profits and minimize risk.As a result, the researchers developed a model that could accurately estimate precision. Time series data models are one of the most powerful methods to render assumptions in decisions containing uncertainty. The AutoRegressive Integrated Moving Average (ARIMA) model with the Box Jenskins time series procedure is one of the most commonly used prediction models for time series results. The steps for using the Box Jenskins ARIMA model for historical details of expected stock closing prices are outlined in this paper. BBYB and YELO stock data from yahoo.finance were used as historical data. The Aikake Information Criterion (AIC), Bayesian Information Criterion (BIC) / Schawrz Bayesia Criterion (SBC), Log Probability, and Root Mean Square Error (RMSE) are used to choose an effective model, and the model chosen is ARIMA (1 , 1,2). The findings suggest that the Jenkins ARIMA box model has a lot of scope for short-term forecasting, which may help investors make better decisions. Keywords: prediction, the stock's current closing price, Box Jenskins ARIMA model
Determinasi Knowledge Management Success Factors pada Universitas Swasta di Palembang Studi Kasus: Universitas Indo Global Mandiri Faradillah Faradillah; Aprinaldi Aprinaldi
Jurnal Informatika Global Vol 9, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (282.514 KB) | DOI: 10.36982/jiig.v9i1.498

Abstract

AbstractKnowledge management (KM) is very important for organizations to increase competitive advantage. While many KM issues have been discussed by many researchers, there is a desire for studies aimed at the adoption and practice of KM in higher education, especially private universities. The purpose of this research is to identify, find, extract and classify several factors for the success of Knowledge Management implementation for the University. This study involved 37 lecturers from a private university in Palembang as respondents. through factor analysis with the Principal Component Analysis method, several factors have been successfully determined and grouped according to their components. These factors are: Organization Culture, Organization Structure, IT Infrastructure, Common Knowledge, Physical Environment, Internalization, and Externalization.Keywords : KM, CSF, Private University, PCA AbstrakKnowledge Management (KM) sangat penting bagi organisasi untuk meningkatkan keunggulan kompetitif. Sementara itu topik KM telah banyak dibahas oleh beberapa penelitian sebelumnya, adanya ketertarikan untuk meneliti proses adopsi dan praktek KM pada pendidikan tinggi, terutama universitas swasta. Tujuan  penelitian ini adalah untuk mengidentifikasi, menemukan, mengekstrak dan mengklasifikasikan beberapa faktor keberhasilan (Critical Success Factor) implementasi Knowledge Manajemen pada Universitas Swasta. Penelitian ini melibatkan 37 orang dosen salah satu universitas swasta di Palembang sebagai responden. Melalui analisis faktor dengan metode Principal Component Analysis (PCA), beberapa faktor telah berhasil ditentukan dan dikelompokkan sesuai dengan komponennya. Faktor-faktor ini adalah: Budaya Organisasi, Struktur Organisasi, Infrastruktur TI, Pengetahuan Umum, Lingkungan Fisik, Internalisasi, dan Eksternalisasi.Kata kunci : KM, CSF, Universitas Swasta, PCA
Integrasi Model Kesuksesan Adopsi E-Commerce Berbasis Technological Frames of References (TFR) – Knowledge Management (KM) Faradillah Faradillah; Imelda Saluza; Muhammad Fadhiel Alie; Andini Utari Putri
Jurnal Informatika Global Vol 13, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i2.2306

Abstract

This study aims to examine several variables supporting the implementation of e-Commerce websites as digital platforms in supporting the business activities of SMEs. Several previous studies have found several variables/factors that support the implementation of e-Commerce with each perspective raised, so that in this study the variables/factors raised are the extraction of all factors from various perspectives and are expected to accommodate different points of view and previous research. Factor extraction is carried out using the Principal Component Analysis (PCA) method using the SPSS 22 Version tool to identify variables/factors from various and various needs, several factors that have components will be extracted and viewed in one category so as to minimize ambiguity factors as e-Commerce Enablers. In this study, data were collected through interviews and online dissemination to Clothing Line Business Actors and staff using digital platform users as many as 75 respondents and obtained some supporting data related to the use of digital platforms in the application of e-Commerce in daily business. Based on the extraction results obtained 5 main drivers that become e-Commerce Enabler based on several models of e-Commerce implementation based on Technological Frames of References (TFR) and Knowledge Management, namely: Organizational Trigger (OT), Environmental Trigger (ET), Individual Intention (II) , Knowledge Aspect and Capability (KAC), and Technology Infrastructure (IT) with each factor with components extracted so as to minimize ambiguity and still accommodate various needs and perspectives.Keywords : Specification Design, Information System, Integrated Document, Rational Unified Process, MASS Cargo
Co-Authors Abdul Aziz Zulfikar Agustina Heryati Ahmad Sanmorino Aisyah Tamiah Andini Utari Putri Anggraini, Leriza Desitama Aprinaldi Aprinaldi Dana Indra Sensuse Dhamayanti Dhamayanti Endah Dewi Purnamasari Endah Purnamasari Imelda Saluza, Imelda Jinal Jinal Lastri Astuti Lastri Widya Astuti Leriza Anggraini Muhammad Fadhiel Alie Ningsih Wahyuni Nining Ariati Sartika, Dewi Try Wulandari Winne Rosalina Yulianti, Evi