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All Journal SISFOTENIKA Buletin Ilmiah Informatika Teknologi
Akhsani Taqwiym
Universitas Multi Data Palembang
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Mechanical Engineering

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Inventory System Application Design (Case Study: Shirouoshien Online Shop) Akhsani Taqwiym
SISFOTENIKA Vol 12, No 2 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i2.1198

Abstract

Current technological advances in the process of recording inventory are felt to be very necessary, especially if the recording is done manually. Shirouoshien is an online business, products are sold and offered online using social media. Shirouoshien's efforts to record products manually, often the data of incoming and outgoing goods is not recorded properly. The process carried out is that the goods arrive, then they are photographed, then the product is offered to consumers. Available products will be stored and will move if the product is sold. During the buying and selling process, the documentation of the number of products in the warehouse was not recorded properly. The problem that occurs in shirouoshien is because employees do not get information about the stock of goods available both in the warehouse and recorded online. The making of notes is sometimes not documented or even made, increasing the risk of damage or loss. Inventories of goods at Shirouoshien often experience stock differences. To overcome the problems in Shirouoshien, a website was designed using descriptive qualitative methods that aim to facilitate the documentation process both in terms of handling the process of printing notes, changing inventory data, searching for inventory data, making sales reports for a certain period, and other types of goods. Descriptive qualitative method is taking objects regarding the system of recording and data collection of goods inventory which is applied to the Shirouoshien online shop. With a qualitative approach, data on the entry and exit of goods can be found.
Analisis Ulasan Pengguna Aplikasi Diagnosa Tanaman Di Play Store Menggunakan Naïve Bayes Hafizirsyad Irsyad; Akhsani Taqwiym
Buletin Ilmiah Informatika Teknologi Vol. 1 No. 2: Januari 2023
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.047 KB)

Abstract

Recognizing plant diseases requires very deep literacy so novice farmers feel reluctant to study agriculture. Agriculture 4.0 has been implemented in several countries, so beginners to farming don't need to worry anymore about agriculture 4.0. The plant disease diagnostic application can be downloaded on the Google Play Store and many reviews and comments from users. With so many reviews from existing comments, it becomes difficult to process them manually, even though there are ratings. In general, ratings are not necessarily in accordance with the contents of user reviews. Therefore, it is necessary to process the results of user reviews and be able to see user tendencies towards the application. The method used is Naïve Bayes. For data labeling, an Indonesian language expert is required who is labeled manually based on Indonesian knowledge and KBBI. Labeling is Positive, Negative and Neutral. The dataset obtained as many as 252 reviews. From the average test, it gets an accuracy value of 79%. Meanwhile, the Precision value is 100% positive sentiment, 76% for neutral sentiment and 77% for negative sentiment. The Recall value for positive sentiment is 37%, neutral sentiment is 100% and for negative sentiment is 100%. And the F1-Score itself has a positive sentiment of 56%, a neutral sentiment of 85% and a negative sentiment of 87%.
Co-Authors Hafiz Irsyad