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JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia)
Published by Infoteks
ISSN : 26552183     EISSN : 26557290     DOI : 10.33173
Core Subject : Science,
Computer Science & IT
data analysis, natural language processing, artificial intelligence, neural networks, pattern recognition, image processing, genetic algorithm, bioinformatics/biomedical applications, biometrical application, content-based multimedia retrievals, augmented reality, virtual reality, information system, game mobile, dan IT bussiness incubation
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 149 Documents
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Perancangan Sistem Penjualan Barang di CV Gunung Emas Aditama, Dewa Made Marta; Adhyatmika, I Gusti Agung Gede Putra
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 4 No 4 (2022): June
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.160

Abstract

Sales process on CV. Gunung Emas is still done manually, that is, buyers have to come directly to the store to make the purchase process. In addition, the manual purchasing process is also time consuming, so there can be delays in needing more time for the goods to be sent and errors may occur when mentioning the product name, quantity, and address provided. Based on the above background, the formulation of the problem in this research is How to Design and Build a Sales System on CV. Gunung Emas, while the research objective to be achieved in the report preparation process is to be able to design and build a company sales system. The results of this study, namely to produce a sales system that aims to assist buyers in selecting and processing the desired product.
Sistem Informasi Inventory Apotek Intan Sejahtera Dewi, Dewa Ayu Kristiana
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 4 No 4 (2022): June
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.162

Abstract

Ulangan Akhir Semester ADSI Kelas N
Perancangan Sistem Informasi Akademik Sekolah Berbasis Web Studi Kasus SMK Wira Harapan Mirela, Marshanda Cindy
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 4 No 4 (2022): June
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.163

Abstract

Web-Based Academic Information System at Wira Harapan Vocational School is a system that provides online student activity reports in the form of web-based student attendance reports, thus helping speed and quality in delivering information. In addition, by being web-based, data information can be accessed at an unspecified time and place. In this system, the menu can only be accessed by certain users, namely students, teachers and administrators. The results of this study have developed a Web-Based Academic Information System with a case study at Wira Harapan Vocational School. Where in building this system used system development tools, namely Data Flow Diagrams (DFD), Context Diagrams, Entity Relationship Diagrams (ERD) and Flowcharts as well as using PHP and HTML programming languages ​​and MySQL as databases. Keywords—Academic, System Information
MEDIA INFORMASI LAGU DAERAH BALI BERBASIS WEB RESPONSIVE Pratama, I Putu Adi; Dikayana, I Komang Deder
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 4 No 4 (2022): June
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.165

Abstract

Lagu daerah adalah lagu atau musik yang berasal dari suatu daerah tertentu dan menjadi populer dinyanyikan baik oleh rakyat daerah sendiri maupun masyarakat lain. Salah satu contohnya adalah lagu (gending-gending) Bali. Terdapat beberapa jenis lagu Bali, salah satunya adalah Gending Rare. Gending Rare pada umumnya terbagi menjadi tiga kategori, yaitu Gending Dolanan, Gending Janger dan Gending Sang Hyang. Dari hasil survey yang dilakukan terhadap 30 responden yang berumur antara 13-50 tahun di tempat publik kota Denpasar, didapat hasil 63% kurang mengenal tentang lagu daerah dan 37% mengenal lagu-lagu daerah Bali. Dari survey juga ditemukan bahwa kurangnya pengetahuan masyarakat tentang lagu daerah Bali tersebut disebabkan oleh kurangnya media informasi yang memuat tentang lagu-lagu daerah Bali. Pada penelitian ini penulis mengembangkan suatu Media Informasi berupa website responsive yang dapat menyimpan lagu-lagu daerah Bali beserta berbagai informasi terkait dengan lagu-lagu daerah Bali. Pada media informasi yang dikembangkan juga terdapat soal-soal yang dapat digunakan untuk menguji pengetahuan masyarakat mengenai lagu-lagu daerah Bali. Pada penayangan soal digunakan algoritma Fisher Yates Shuffle sehingga soal yand ditampilkan adalah bersifat acak. Dari hasil pengujian blackbox yang dilakukan didapat hasil bahwa segala fungsionalitas yang diharapkan dari sistem sudah dapat berjalan dengan baik.
Analisis Prediksi Penjualan Lampu Dengan Metode Svm Pada PT. Terang Abadi Raya Sariayu, Vilomena; Sugiartawan, Putu
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 5 No 1 (2022): September
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.172

Abstract

Predictive analytics is a type of data analysis technique used to make predictions about future events. In the Forecasting analysis of companies that buy and sell goods, it is necessary to facilitate the company's sales planning. In this study, an analysis of the Lamp Sales Forecast was carried out at PT. Great Eternal Light. Purpose The purpose of this study is to analyze the 2022 lamp sales forecast using the Support Vector Machine method. The results of the evaluation are carried out using the MAPE method to find out how much capacity the model has used to see the difference between the predicted and actual values. Haili test With MAPE 21.44 it can be said that the forecast model is quite good.
Klasifikasi Data Penjualan Dengan Metode K-Nearest Neighbor Pada Pt. Terang Abadi Raya Novitadewi, Ni Made Ary; Sugiartawan, Putu; Fittryani, Yuri Prima
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 5 No 1 (2022): September
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.173

Abstract

PT. Terang Abadi Raya is a lighting company engaged in trading, with the many types of products to be sold the company has difficulty determining which product sells the most on the market. Making it difficult for the marketing department to offer products to be sold. PT. Terang Abadi Raya has various types of lighting products based on sales data for the last 1 year, using the K-Nearest Neighbor (K-NN) prediction to make it easier for companies to plan sales. To find out the best-selling sales using sales data classification and the K-Nearest Neighbor (K-NN) method, of the 19,290 items classified, the graphic results obtained were 12,420 categorized as best-selling labels, and 6,870 categorized as not-selling labels.
Prediksi Luas Sebaran Hama Wareng pada Tanaman Padi dengan RNN Time Series Wulandari, Selvi Wulandari
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 5 No 1 (2022): September
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.174

Abstract

Rice is a crucial crop in Indonesia as it serves as a staple food. However, rice production is frequently hindered by pests, particularly the brown planthopper (BPH), which poses a serious threat to agricultural productivity in Gianyar District. To minimize crop failures and enhance productivity, predicting the spread of BPH on rice plants is crucial. In this study, a time series dataset consisting of 120 data points on BPH distribution from 2012 to 2021 was utilized. The data was split into 90% training data and 10% testing data. By employing the Recurrent Neural Network (RNN) architecture, the best-performing model achieved a minimal Root Mean Square Error (RMSE) value of 10.0503, with 500 epochs, a learning rate of 0.007, 5 neurons in the input layer, and 80 neurons in the hidden layer. This model also achieved a Mean Absolute Percentage Error (MAPE) value of 16.64%, indicating good predictive performance. The predictive results can be used by laboratories as decision support for rice productivity improvement strategies
Prediksi Sebaran Hama Tikus Pada Tanaman Padi Menggunakan Metode Backpropagation Neural Network Arimawarni, Rafika; Sugiartawan, Putu; Murpratiwi, Santi Ika
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 5 No 1 (2022): September
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.175

Abstract

OPT (Plant Pest Organisms) is any activity or activities that damage and kill plants, one of which is caused by pests, diseases, viruses, etc. In Bali, especially in Tabanan Regency, OPT cases are still very high. OPT in rice plants caused by rats is a problem faced by farmers and in the future, it must be prevented by knowing the spread of rats. Therefore, the purpose of this research is to help farmers prevent pest attacks so that rice productivity can be increased. In this study, the backpropagation neural network method was used to predict the distribution of rat pests on rice plants. This method uses previous data, namely from 2012-2021 when the data is processed and calculated until the smallest error value is obtained. In this study, data were obtained from calculating the distribution of pests in hectares which showed a percentage difference in accuracy error of 16.2%, which means that the prediction of this calculation is good enough to be used as a reference for further research
Prediksi Sebaran Hama Padi Dengan Metode LSTM Pada Pertanian Padi Di Buleleng Negara, I Gede Sunia; Sugiartawan, Putu; Murpratiwi, Santi Ika
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 5 No 1 (2022): September
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.176

Abstract

Prediction is a systematic process of estimating future values based on patterns contained in data that has been converted into numerical form. In this study, the aim was to predict the distribution of rice borer in Buleleng district which could endanger the productivity of the rice agricultural sector. One of the methods used in this research is Long Short Term Memory (LSTM), a form of development of Recurrent Neural Network (RNN) which is suitable for processing and predicting time series data. The data used in this study is rice borer attack data for the last ten years, from 2012 to 2021. The results show that the LSTM model has an MAE data testing of 16.8149 and MAPE data testing of 2.356%, and MAE data training of 16.8149 and MAPE data training of 2,356%. These values measure the prediction error with the MAE and MAPE techniques. With these results, the agricultural service can recognize the pattern of distribution of rice borer attacks in the region and take appropriate action to overcome them.
Aplikasi Web Perhitungan Kelayakan Finansial Pada Agrowisata Desa Kreatif Bingin Ambe Koripan Dewi, Ni Made Gusnia; Sugiartawan, Putu
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 5 No 2 (2022): December
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.177

Abstract

Agricultural tourism is a tourist destination built with a theme or concept that combines agricultural activities and commercial activities. One of the livestock tourism development plans is Br. Anyar, Kediri District, Tabanan Regency. It is not yet known whether the tourism category is feasible or financially feasible, so an economic feasibility analysis is carried out. The purpose of the analysis and execution of this feasibility calculation application is to determine the profitability of an object or category that will later be applied to agro-tourism. Only three investment evaluation methods are used in this study. The three methods are payback period, present value and internal rate of return. The results obtained in this study were that Strawberry Picking Tourism was stated to be profitable with PP results for 33 months, NPV 14,537,100 and IRR 25.02%. The Bike Rental category was declared profitable: PP results for 24 months, NPV 36,346,700 and IRR 45.23%. The picnic area category with the results obtained is PP for 16 months, NPV 58,223,500 and IRR 77.85%. The Food & Beverage Division was declared profitable with PP results for 88 months, NPV 13,460,300 and IRR 10.44%. From this it can be concluded that all classes are feasible and can be implemented. A web-based financial perspective calculation system that can be used to calculate whether an investment is feasible or not.

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