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PENINGKATAN PRODUKSI DAN PENGEMBANGAN PEMASARAN INDUSTRI RUMAH TANGGA PANGAN KHAS KABUPATEN TABANAN IBU SUMAWATI Made Agus Putra Subali; I Gusti Rai Agung Sugiartha; Anak Agung Gede Purantara
Sewagati Vol. 3 No. 2 (2024): Sewagati
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/sewagati.v3i2.3846

Abstract

The partner traditional food home industry sells lawar, tum, and timbungan. Every day the partners process 6 kg of meat, 0.5 kg of chilies, 1 kg of shallots, and 0.5 kg of garlic. The amount of production in a day reaches 5 timbungan, 12 packs of lawar, and 50 packs of tum. The produce is marketed locally at partners' kiosks from four in the afternoon to seven in the evening. The partner's business has the potential to develop further, because the number of orders on holidays and weekends can increase by up to 50% currently, the partner has problems with a shortage of production and product marketing quantities. The solution to overcome partner problems is carried out by providing assistance with production equipment, installing packaging labels, and installing brochures, banners, and promotions via social media Instagram and Facebook. Based on the activities that have been carried out, the results obtained are that the production equipment assistance provided is able to increase the number of partners' production by up to 50% and make the production time process more efficient. Creating Instagram and Facebook social media can be an alternative for marketing partner products to reach a wider market share. Apart from that, other capabilities obtained by partners, such as the use of production equipment and product packaging with packaging labels, have increased by up to 100%.
Software Defects Predictions using SQL Complexity and Naïve Bayes Subali, Made Agus Putra; Sugiartha, I Gusti Rai Agung; Adnyana, I Made Budi; Putra, I Putu Aditya; Subawa, Made Dai
Compiler Vol 14, No 1 (2025): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v14i1.2979

Abstract

Software defects result in unreliable software, therefore predicting software defects is an effort to produce quality software. In this study, we used the naïve bayes method because it has the appropriate characteristics of the data used. The data used include NASA MDP datasets and datasets from the calculation of the sql complexity method on eight software modules. The use of two datasets was carried out because in the NASA MDP datasets there were no attributes that paid attention to the use of sql commands, therefore in the datasets from the eight software modules the sql complexity attribute was included which paid attention to the level of complexity of the use of sql commands in each module. The prediction results of this study were evaluated by considering the values of accuracy, precision, recall, and f-measure. Based on these results, the accuracy results of CM1 were 88%, PC2 was 97%, and KC3 was 78%.
Development of SLOC, CC, SQL Complexity Methods to Measure the Level of Similarity Complexity of Software Modules Subali, Made Agus Putra; Sugiartha, I Gusti Rai Agung; Putra, I Putu Aditya
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i4.27150

Abstract

Software metrics are often used to reflect vulnerabilities in program code to measure the complexity of each software module. Knowing the complexity of each software module is an important thing to do because the project manager can analyze defects that may occur, costs spent, work schedules, and the resources needed. In this research, we aim to apply the SLOC, CC, SQL Complexity method in measuring the level of similarity of complexity between software modules by paying attention to the level of similarity of the syntactic structure of program logic and SQL commands, by knowing the similarity between software modules the project manager can predict the effort required. Based on the results of the level of equality for the eight modules, an average of 90% was obtained. The high results are due to the third feature used having a high level of similarity. In further research, other features will be added and weighting will be given to each feature.
DIVERSIFIKASI PRODUK DAN OPTIMASI MANAJEMAN USAHA PADA UMKM RESELLER GETA.STORE Made Agus Putra Subali; I Gusti Rai Agung Sugiartha; I Putu Aditya Putra; I Made Andre Sentanu
Sewagati Vol. 2 No. 2 (2023): Sewagati
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/sewagati.v2i2.3028

Abstract

The partner product marketing process is carried out on the Shopee e-commerce platform under the name Geta.Store. statistically, the assessment obtained by Geta.Store from the Shopee platform is very good. The high number of transactions makes the partner business management process very complex and takes a long time to process, especially in the process of financial transactions which include (1) purchasing products from suppliers, (2) selling products to buyers, and (3) the process of recording payments. Currently all of these processes are done manually by writing them in the transaction journal. To further optimize the partner business management process, the team provides assistance in the form of a web application, in which the application contains the three features needed. In addition, the team diversified one of the plain t-shirt products by adding exclusive designs. Based on the activities that have been carried out, the results of the system assistance provided are able to overcome partner problems and improve product quality by diversifying partner plain t-shirt products.