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All Journal REKAYASA Syntax Literate : Jurnal Ilmiah Indonesia Journal of Intelligent Decision Support System (IDSS) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Kepada Masyarakat Darma Saskara
Witari Aryunani
Universitas Gunadarma
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Physics Social Sciences

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Analysis of Financial Annual Reports for Bankruptcy Predictions Using Altman Z-Score Method Kasman Wicaksono; Purnawarman Musa; Apriana Anggraeini Bangun; Octarina Budi Lestari; Witari Aryunani; Sigit Sukmono
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 2 (2022): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v5i2.79

Abstract

The study focused on comparisons to investigate a company's financial health situation in diagnosing early bankruptcy of tobacco-producing companies using the Altman Z-Score formula. The bankruptcy risk predictions were analyzed from 2013 to 2018 on the Indonesia Stock Exchange website. The investigative data obtained at the www.idx.co.id website address used annual financial statement data from three tobacco companies in Indonesia for six consecutive years. Research illustrates that from 2013 to 2018, tobacco-producing companies are in the healthy and low-risk category. The total variable is the key to changing its health condition if it changes its value. Therefore, the results of this study can analyze the company, especially financial statements, for information on fulfilling its obligations to investors and creditors and managing assets to increase sales in generate profits.
Pembelajaran Mendalam Pengklasifikasi Ekspresi Wajah Manusia dengan Model Arsitektur Xception pada Metode Convolutional Neural Network Purnawarman Musa; Wahid Khairul Anam; Saiful Bahri Musa; Witari Aryunani; Remi Senjaya; Puji Sularsih
Rekayasa Vol 16, No 1: April 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v16i1.16974

Abstract

Deep learning is a neural network that creates innovations that give computer-implanted problem-solving expertise. One of the principles of computer vision is a detection system with a vision framework that can identify things encountered in the same manner as a human vision system. Using an artificial intelligence-based Convolutional Neural Network (CNN) model with deep learning techniques, we present a face emotion identification system. The categorization of facial expressions will be utilized as the basis for a face recognition system trained using CNN. The applications are intended to use the OpenCV, Keras, and TensorFlow libraries as the backend. We were discussing the study on the best use of xception architectural models in facial expression recognition systems. Based on the results of these tests, the study obtained an increased accuracy value in training and data testing on an xception architecture model trained for facial expressions using the FER-2013 dataset, resulting in an accuracy value of 66% as well as the value of each average for precision (76%), recall (65%), and F1 score (63%).
Pembuatan Company Profile Berbasis Website sebagai Media Informasi dan Promosi pada Hari Hari Pasar Swalayan Oktaviani Oktaviani; Endah Kurniasari; Rosdiana Rosdiana; Witari Aryunani; Yeni Setiani
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : CV. Ridwan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.001 KB) | DOI: 10.36418/syntax-literate.v7i8.9191

Abstract

Semakin hari kebutuhan informasi semakin meningkat, banyak pelanggan yang membutuhkan informasi pada Hari Hari Pasar Swalayan namun tidak ada media online untuk menemukan informasi tersebut sehingga menjadi permasalahan yang menyebabkan pelanggan harus datang langsung ke tempatnya untuk mendapatkan informasi atau mengetahui promosi yang ditawarkan. Seiring berkembangnya teknologi, banyak lembaga atau perusahaan mulai menerapkan suatu teknologi yang dapat membantu suatu pekerjaan menjadi lebih efisien. Oleh karena itu, dibuatlah Company Profile Berbasis Website Sebagai Media Informasi dan Promosi Pada Hari Hari Pasar Swalayan. Pembuatan website ini menggunakan PHP dan MySQL dan perancangan UML (United Modelling Language) meliputi Use Case Diagram, Activity Diagram, dan Class Diagram. Website ini terdapat informasi tentang promo, informasi kontak dan juga lokasi dari Hari Hari Pasar Swalayan melalui fitur yang tersedia di navigasi web. Berdasarkan uji coba maka diperoleh hasil bahwa dengan menggunakan web browser Google Chrome, website beserta fiturnya dapat berjalan dengan baik sesuai fungsinya tanpa kendala.
Pengalaman Pengguna Aplikasi Konferensi Video Google Meet Selama Pandemi Covid-19: Analisis UEQ Garin Caesar Syanugiri; Purnawarman Musa; Witari Aryunani
Prosiding SISFOTEK Vol 7 No 1 (2023): SISFOTEK VII 2023
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

The Covid-19 pandemic has changed how we work, learn, and communicate. One of the key tools in responding to these challenges is video conferencing applications, such as Google Meet. This article explores user experiences with Google Meet during the Covid-19 pandemic using the User Experience Questionnaire (UEQ) method to analyze various aspects of user experience. The research steps in applying the UEQ data analysis method encompass data collection (scores) through the UEQ questionnaire, conducting descriptive analysis to identify trends and patterns in user experiences, and interpreting the results to comprehend their implications. The analysis outcomes aid researchers in summarizing user experiences, pinpointing areas for improvement, and offering pertinent recommendations. The Attractiveness variable receives a high score, reflecting a user-friendly and efficient interface. Perspicuity also obtains positive scores, indicating the ease of using the application. Efficiency and Dependability likewise achieve high scores, signifying that users perceive the application as reliable for important meetings. Stimulation and Novelty show a substantial improvement, indicating that users feel engaged and interested while using Google Meet. The UEQ analysis results provide valuable insights into how Google Meet has become an effective and satisfying solution to address the challenges individuals and organizations face during the Covid-19 pandemic. This article also discusses the implications of these findings in the context of education, work, and remote communication.
DIGITALISASI UMKM DI LINGKUNGAN RW. 02 PABUARAN EKAR, BOGOR: PENDAMPINGAN WANITA TANI DAN WEBSITE RESMI Stevani Adinda Nurul Huda; Shinta Teviningrum; Witari Aryunani
Jurnal Pengabdian Kepada Masyarakat Darma Saskara Vol 3, No 1 (2023)
Publisher : Jurnal Pengabdian Kepada Masyarakat Darma Saskara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/abdimasug.2023.v3i1.10019

Abstract

PKM memiliki tujuan untuk meningkatkan kapasitas dan sinergi para kader RT, RW dan masyarakat Kelompok Wanita Tani di lingkungan wilayah RW 02 Kelurahan Pabuaran Mekar Kecamatan Cibinong Kabupaten Bogor, Jawa Barat sebagai kegiatan pendampingan dan pembuatan website official yang berguna sebagai wadah informasi bagi warga, disamping itu mendukung adanya pusat data UMKM dalam rangka digitalisasi usaha di lingkungan RW 02. Pendataan UMKM juga memberikan kesempatan untuk para investor ataupun pelaku UMKM yang ingin memperluas usahanya dengan mendapatkan modal usaha melalui informasi yang tersedia pada website tersebut. Era digitalisasi kini sangat dibutuhkan oleh para pelaku UMKM agar dapat berekspansi lebih baik terkait informasi usaha yang dijalankannya. Pelaksanaan pengabdian masyarakat telah berhasil dilaksanakan dalam rentang waktu 6 (enam) bulan terhitung pada bulan September 2022 hingga Februari 2023 berupa Program Pendampingan Kelompok Wanita Tani dan Pembuatan Website Official RW 02. Melalui kegiatan pengabdian kepada masyarakat ini, menginsipirasi lahirnya kegiatan lainnya yang mendukung digitalisasi wirausaha berbasis teknologi informasi serta pengelolaan usaha farming berbasis teknologi. Selanjutnya target luaran pengabdian masyarakat ini difokuskan pada peningkatan penerapan IPTEK di masyarakat serta perbaikan tata nilai masyarakat di bidang sosial, lingkungan dan pendidikan khususnya untuk memberdayakan kelompok wanita tani.
Penerapan Metode Weighted Aggregated Sum Product Assessment (WASPAS) dalam Pemilihan Kasir Swalayan Terbaik Yeni Setiani; Witari Aryunani
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 2 (2023): RESOLUSI November 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i1.1431

Abstract

In a supermarket, cashier guards or cashier security have an important role in maintaining the security and comfort of the cashier area. As a retail company, the company gives awards every month to the cashier division as a motivation for them. However, problems arise in performance appraisal because it is too subjective and can be influenced by personal opinion. Therefore, the authors conducted research to create a decision support system (DSS) that can assist in selecting the best cashier with the criteria of appearance, service, discipline, honesty, and responsibility. The method used in this research is Weighted Aggregated Sum Product Assessment (WASPAS), which can solve complex problems effectively by speeding up the decision-making process. With the WASPAS method, problems are grouped based on criteria and weight so that the value of each criterion can be calculated. The results showed that Rozi (A4) was the best alternative with a value of 0.452 and deserved to be the best cashier at a supermarket.
Co-Authors Apriana Anggraeini Bangun Endah Kurniasari Garin Caesar Syanugiri Kasman Wicaksono Musa, Purnawarman Octarina Budi Lestari Oktaviani Oktaviani Puji Sularsih Remi Senjaya Rosdiana Rosdiana Saiful Bahri Musa Shinta Teviningrum Sigit Sukmono Stevani Adinda Nurul Huda Wahid Khairul Anam Yeni Setiani