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All Journal JUTIK : Jurnal Teknologi Informasi dan Komputer METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA
Ni Gusti Ayu Putu Harry Saptarini
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Social Sciences

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Food Journal: An application for allergy early detection Ciptayani, Putu Indah; Ni Gusti Ayu Putu Harry Saptarini; Ni Wayan Wisswani
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i3.128-134

Abstract

Allergies are now increasingly common, due to public awareness and lifestyle changes. Although antibody tests and skin pricks can detect allergies, their accuracy is not always 100%, causing some cases of false negatives. Observing the reactions caused by food is an alternative approach, but people often forget the food they consume, especially if the allergic reaction is indirect. Therefore, tools are needed to record foods and reactions, allowing traceability to undetected allergy triggers. This study is applied research that aims to develop a prototype application for recording daily food and tracking the history of eating activities based on the allergy symptoms entered. The software development method used is the Agile method with the Scrum framework. The Scrum framework is used considering that the development of this application requires speed in its provision, and is susceptible to change, so flexibility in development is an absolute must. The software testing was conducted by User Acceptance Testing (UAT) to ensure it meets the user’s needs and requirements. The UAT results are ease of use 3.8, functionality 3.99, user interface (UI) design 3.8, utility 4, and support and help 4. UAT results indicate that the ease of use and UI design have the worst scores and need to be improved, while the utility and support have the best results.
PERANCANGAN SISTEM PENDETEKSI TEMPAT PARKIR MOBIL MENGGUNAKAN METODE YOU ONLY LOOK ONCE (YOLO) DI POLITEKNIK NEGERI BALI I Wayan Candra Winetra; I Putu Astya Prayudha; Ni Gusti Ayu Putu Harry Saptarini
Jurnal Teknologi Informasi dan Komputer Vol. 10 No. 4 (2024): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi Desember 2024
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v10i4.3577

Abstract

Manajemen parkir di Politeknik Negeri Bali (PNB) yang dilakukan secara manual seringkalimengakibatkan kemacetan dan pemanfaatan lahan parkir yang tidak efisien. Penelitian ini mengatasitantangan tersebut dengan mengembangkan sistem deteksi ruang parkir mobil secara real-time. Sistem inimenggunakan algoritma You Only Look Once (YOLO), sebuah metode deteksi objek mutakhir, untukmengidentifikasi secara akurat ruang parkir yang tersedia di lingkungan kampus PNB. Denganmemberikan informasi parkir secara real-time kepada pengguna, sistem ini bertujuan untukmenyederhanakan prosedur parkir, mengurangi kemacetan, dan meningkatkan efisiensi keseluruhankampus. Hasil penelitian ini menunjukkan kelayakan dan efektivitas sistem yang diusulkan dalammeningkatkan manajemen parkir di PNB
Food Journal: An application for allergy early detection Ciptayani, Putu Indah; Ni Gusti Ayu Putu Harry Saptarini; Ni Wayan Wisswani
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i3.128-134

Abstract

Allergies are now increasingly common, due to public awareness and lifestyle changes. Although antibody tests and skin pricks can detect allergies, their accuracy is not always 100%, causing some cases of false negatives. Observing the reactions caused by food is an alternative approach, but people often forget the food they consume, especially if the allergic reaction is indirect. Therefore, tools are needed to record foods and reactions, allowing traceability to undetected allergy triggers. This study is applied research that aims to develop a prototype application for recording daily food and tracking the history of eating activities based on the allergy symptoms entered. The software development method used is the Agile method with the Scrum framework. The Scrum framework is used considering that the development of this application requires speed in its provision, and is susceptible to change, so flexibility in development is an absolute must. The software testing was conducted by User Acceptance Testing (UAT) to ensure it meets the user’s needs and requirements. The UAT results are ease of use 3.8, functionality 3.99, user interface (UI) design 3.8, utility 4, and support and help 4. UAT results indicate that the ease of use and UI design have the worst scores and need to be improved, while the utility and support have the best results.
Analisis Perbandingan Akurasi Metode Single Exponential Smoothing (SES) dengan Optimasi Parameter Alpha dan Single Moving Average Pada Sistem Peramalan Kebutuhan Stok Produk Bangunan: Studi Kasus: UD Ema Kencana Abadi I Made Sesa Putra; Ni Gusti Ayu Putu Harry Saptarini; Ni Nyoman Harini Puspita
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp217-225

Abstract

Manual inventory management at UD Ema Kencana Abadi has the potential to cause recording errors and stock imbalances. The primary focus of this study is to implement a web-platform-based inventory system that integrates forecasting techniques as a decision-support instrument. The method used is Single Exponential Smoothing (SES) with dynamic optimization of the alpha (α) parameter through iteration to obtain the lowest Mean Absolute Percentage Error (MAPE), which is then compared with the Single Moving Average (SMA-3). Testing was conducted using nine months of historical sales data on six building material products. The results showed that SMA-3 is more optimal for data with stable fluctuations, yielding a MAPE of 11.91%, whereas the optimized SES is more accurate for data with medium to high fluctuations. The implementation of this system improves forecasting accuracy and supports more objective stock procurement decision-making.
Co-Authors I Made Sesa Putra I Putu Astya Prayudha I Wayan Candra Winetra Ni Nyoman Harini Puspita Ni Wayan Wisswani Putu Indah Ciptayani