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Analyzing User Experience in KAI Access Application using the UEQ Method Maulidya, Icha; Salma, Cynthia Octavania Putri; Beda, Glorian Hilarius Kiantin; Barus, Irma Rasita Gloria; Fami, Amata
JISA(Jurnal Informatika dan Sains) Vol 7, No 1 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i1.2007

Abstract

This research aims to provide a comprehensive analysis of the User Experience (UX) components within the KAI Access platform framework, with a particular focus on the need to evaluate the platform's UX. This evaluation is very important because of the emergence of user complaints and usability problems in the KAI Access application rating on the Appstore and Playstore which can affect user satisfaction and overall user engagement. This study leverages insights from previous research in UX analysis, particularly in transportation applications, it identifies key areas for improvement. It implements best practices to ensure a smooth and intuitive user experience. Leveraging frameworks and theories from the field of UX design, the methodological approach revolves around conducting UEQ surveys to comprehensively understand user behavior and interactions. Through systematic evaluation, this research assesses the UX dynamics of the KAI Access system, by carefully examining the strengths, weaknesses, and areas that require improvement to increase user satisfaction and system usability. This research succeeded in showing that the KAI Access platform has good performance in terms of efficiency and reliability. However, from the evaluation there are deficiencies in various areas such as user interface design and interactive responsiveness which are shown in the discussion results indicating the potential for increasing user satisfaction and system usability through pragmatic improvements. Additionally, this paves the way for future research to explore the impact of these improvements on user satisfaction and consider the integration of new technologies for a richer user experience.
Pengaruh Green Innovation, Green Investment Dan Eco-Efficiency Terhadap Nilai Perusahaan Di Perusahaan Manufaktur Sektor Tambang 2019-2023 Wasyiah, Ai; Anjani, Tiya Melida; Syalwa, Deswita Cholinia; Maulidya, Icha; Kustina, Lisa
Margin: Jurnal Lentera Managemen Keuangan Vol. 3 No. 01 (2025): Februari 2025
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/margin.v3i01.734

Abstract

Penelitian ini dilakukan bertujuan untuk membutikan secara nyata pengaruh Green Innovation, Green Invesment, Eco-Efficienciey terhadap nilai perushaan. Green Innovation sendiri diukur dari pengolahan data Carbo Emission Dissclosure seperti perubahan iklim, emisi gas rumah kaca, konsumsi energi, pengurangan gas kaca dan akuntabilitas emisi karbon dengan  menggunakan metode CED. Green invesment dihitung dengan peringkat PROPER, karena peringkat PROPER ini memiliki kriteria yang selaras, Dengan Peringkat Proper yang diberikan sesuai dengan warna yaitu Skor 1= Hitam, Skor 2= Merah, Skor 3= Biru, Skor 4= Hijau, dan Skor 5= Emas. Sedangkan Eco-Efficiency di ukur dari data tahunan setiap Perusahaan dari penerapan ISO 14001. Nilai perusahaan sendiri diukur menggunakan nilai TOBIN’S Q. Penelitian ini dilakukan pada perusahaan Manufaktur pada sektor tambang yang terdaftar di Bursa Efek Indonesia (BEI) pada periode 2019-2023. Metode dalam penelitian ini menggunakan pendekatan kuantitatif untuk menguji hipotesis dengan menggunakan uji data statistik yang akurat. Dan adapun hasil dari penelitian ini yang menyatakan bahwa Green inovation dan Green Invesment tidak berpengaruh signifikan terhadap terhadap nilai perusahaan. Sedangkan Eco-Efficiency berpengaruh signifikan terhadap nilai perusahaan. Adapaun Uji F statistik (simultan), Green Inovation, Green Investment, Eco-Efficiency tidak memiliki pengaruh yang signifikan terhadap Nilai Perusahaan pada Perusahaan Manufaktur Sub Sektor Pertambangan periode 2019-2023.
Pengaruh harga dan lokasi terhadap keputusan pembelian melalui kepuasan konsumen Alfamart daerah Cikarang Utara Zed, Etty Zuliawati; Maulidya, Icha; Syalwa, Deswita Cholinia; Anjani, Tiya Melida; Erfiyola, Erfiyola
Economics and Digital Business Review Vol. 5 No. 2 (2024): February - July
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v5i2.1423

Abstract

Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh harga suatu produk dan lokasi Alfamart di daerah Cikarang Utara. Metodologi yang digunakan dalam penelitian ini yaitu pendekatan kuantitatif dengan menggunakan metode analisis linier berganda. Menggunakan data primer berupa kuesioner yang dikumpulkan dari konsumen Alfamart daerah Cikarang Utara. Metode pemilihan sampel menggunakan Random sampling, bersama dengan 90 responden. Metode analisis data yang digunakan dalam penelitian ini adalah SPSS 29 dan semua instrumen harus melewati beberapa pengujian sebelum dianggap valid dan reliabel dan harus lolos uji asumsi klasik, seperti uji normalitas, multikolinearitas dan heteroskedastisitas. Analisis linier berganda digunakan untuk menentukan hubungan uji determinasi untuk menguji hipotesis. Hasil analisis menunjukan bahwa penetapan harga yang kompetitif dan lokasi yang strategis secara signifikan berkonstribusi terhadap pengaruh Keputusan pembelian konsumen Alfamart. Kata Kunci: Harga, Lokasi, dan Keputusan konsumen.
Analisis Tren dan Prediksi Kapitalisasi Aset Menggunakan Model ARIMA Maulidya, Icha
Pajak dan Manajemen Keuangan Vol. 2 No. 5 (2025): Oktober : Pajak dan Manajemen Keuangan
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/pajamkeu.v2i5.1624

Abstract

Effective management of fixed assets plays a crucial role in maintaining the reliability and transparency of a company’s financial reporting. Errors in the capitalization process can lead to misstatements in financial statements and affect investment decisions. This study aims to analyze and forecast asset capitalization trends using the Autoregressive Integrated Moving Average (ARIMA) model. The research utilizes monthly recap data of asset capitalization recorded during the Settlement to Fixed Asset process from January 2021 to August 2025. The data were processed through several stages, including stationarity testing, model identification, parameter estimation, and model accuracy evaluation. The findings indicate that the data are stationary without differencing (d = 0). From several candidate models, ARIMA(0,0,3) was identified as the best model based on the lowest AIC value of 39.76. The selected model was then applied to predict asset capitalization values for the next ten periods, resulting in forecasts ranging from 1.12 to 1.56 trillion rupiah. Model evaluation showed a MAPE of 29.01%, which implies a moderate forecasting accuracy. Consequently, the ARIMA model can be considered a suitable analytical tool for monitoring and forecasting asset capitalization quantitatively.