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Analisa Kemanfaatan Dan Kemudahan Terhadap Penerimaan Sistem OPAC Menggunakan Metode TAM Kharismaya, Citra; Dewi, Linda Sari; Arisawati, Ester; Handayanna, Frisma
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.684 KB) | DOI: 10.30645/j-sakti.v1i1.27

Abstract

This study describes the reception OPAC Davis 1989 TAM variables namely perceived usefulness (perceived benefit), perceived ease of use (ease perceived) and accepted (acceptance) OPAC. In this study, data were collected through a questionnaire using Likert scale to 100 users si¬stem den response OPAC (Online Public Access Catalog). Sampling technique used is purposive sampling to determine the level of acceptance of the system OPAC (Online Public Access Catalog). Quantitative analysis includes the validity, reliability. In the classic assumption test, used test for normality, multicollinearity and heterokedastisitas with F and t hypothesis testing. Multiple linear regression analysis is used to determine the effect of the independent variables with the dependent variable. The results showed that perceived usefulness and perceived ease have a significant effect on the acceptance by the user system (R Square) amounted to 40.8%.
Analisis Algoritma Datamining pada Kasus Daerah Pelaku Kejahatan Pencurian Berdasarkan Provinsi R, Rinawati; Sihombing, Erene Gernaria; Dewi, Linda Sari; Arisawati, Ester
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (728.438 KB) | DOI: 10.30645/j-sakti.v4i1.189

Abstract

Theft is a behavior that causes harm to victims who are targeted and can cause victims. The level of theft behavior is increasing in each region due to the increasing number of unemployment and lazy nature of work that makes a person commit theft to make ends meet. The purpose of this study was to analyze using the technique of datamining in the area of perpetrators of theft crimes by province. The technique used is clustering with the K-means method. Data sourced from the Indonesian Central Statistics Agency with the url address: https://www.bps.go.id/. The results of the study using this technique are clustered in areas in Indonesia which have the highest crime theft rates. From the results of the study using the K-means technique, that there are 17 provinces out of 34 provinces that have the highest crime theft (C1) areas, namely: Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Lampung, DKI Jakarta, West Java, Central Java, East Java, Banten, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, South Sulawesi, Papua. The results of the study are expected to be information for the government in conducting policies to reduce the crime crime rate in Indonesia which is very high (50%).
Application of Learning Rate in Artificial Neural Networks to Increase Prediction Accuracy on Rubber Tree Maintenance Costs Sihombing, Erene Gernaria; Aristawati, Ester; Rinawati, R; Handayanna, Frisma; Dewi, Linda Sari
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 4 (2024): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i4.467

Abstract

This research aims to explore the impact of various learning rate values in artificial neural networks (ANN) in increasing the accuracy of predicting rubber tree maintenance costs. Using a dataset that includes factors such as tree age, soil conditions, weather, and maintenance methods, an ANN model is built and tested with various learning rate values to find optimal parameters. The research results show that the influence of various learning rate values on the performance of artificial neural networks (ANN) in predicting rubber tree maintenance costs varies significantly. From the training and testing results, learning rate 0.1 shows the best results with MSE 0.00995387 and 75% accuracy on training data, and MSE 0.00976614 and 83% accuracy on testing data. This conclusion emphasizes the importance of choosing the right learning rate value in applying ANN to predict rubber tree maintenance costs, which is expected to help plantation managers improve operational efficiency and cost management.
Rekomendasi Laptop Gaming High end untuk Gamer Professional dengan Elimination Et Choix Traduisant la Realite (ELECTRE) Arisawati, Ester; Rinawati, Rinawati; Handayanna, Frisma; Sihombing, Erene Gernaria; Dewi, Linda Sari
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (731.218 KB) | DOI: 10.30645/j-sakti.v3i2.146

Abstract

The purpose of this research is as a recommendation tool in determining high end gaming laptops for professional gamers by using a decision support system. The settlement method used in this study is Elimination Et Choix Traduisant la Realite (ELECTRE). The data collection techniques were carried out randomly by conducting observations, interviews and questionnaires to 250 respondents (gamers) and 10 computer shops in the district of Simalungun. In this study, using five alternatives, among others: Asus ROG G703 (A1), Razer Blade Pro (A2) MSI GT75VR Titan-083 (A3), Acer Predator Triton 700 (A4), Alienware 17 (A5) and five assessment criteria, among others: Price (C1), Processor Type (C2), RAM Capacity (C3), VGA Card Type (C4) and Hard Drive (C5). The results of the Elimination Et Choix Traduisant la Realite (ELECTRE) method recommend the Predator Triton 700 (A4) alternative as the first recommendation for the selection of high end gaming laptops for professional gamers.
Sistem Pembuatan Jaminan Tender Pada Perusahaan Jasa Pembuatan Asuransi Dewi, Linda Sari; Arisawati, Ester; Sihombing, Erene Gernaria; Maulida, Linda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 1 (2018): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v2i1.56

Abstract

A loss-making service company does not yet have a website on the information of making a Tender Guarantee as a prospective principal registration medium that will use our services for the manufacture of warranties. From the system that will be made to facilitate the making of guarantee which is certificate of Bank Guarantee. The purpose of this study to produce a system of information creation and website-based registration and registration. Online information is an important part of the development of technology in the internet world. The use of website media is very profitable for many parties, for the principal or the party of the company making the loss insurance services. The design of information systems making of this guarantee is made to assist and simplify the entire process of making the existing collateral in the company.
Animasi Interaktif Kesenian Dan Kebudayaan Jawa Barat Untuk Sekolah Dasar Dewi, Linda Sari; Arisawati, Ester; Sihombing, Erene Gernaria
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 2 (2017): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v1i2.37

Abstract

Multimedia aims to present information in the form of a fun, exciting, easy to understand and clear. Then by using interactive animation application as an information medium, Indonesian culture can be delivered using an easy and attractive way. Interactive multimedia learning model is very effective. This can be seen because of the many animated elements. This interactive multimedia learning model will make students do not get bored because students will feel how to play and learn with students will be quicker to capture in the learning takes place, especially to get to know art and culture in western Java. In this interactive animation applications also can increase children's knowledge in order to know more about art and culture located in western Java. In this application contains information cultural arts western Java will students can increase the pride and love of the homeland Indonesia
Analisa Kemanfaatan Dan Kemudahan Terhadap Penerimaan Sistem OPAC Menggunakan Metode TAM Kharismaya, Citra; Dewi, Linda Sari; Arisawati, Ester; Handayanna, Frisma
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v1i1.27

Abstract

This study describes the reception OPAC Davis 1989 TAM variables namely perceived usefulness (perceived benefit), perceived ease of use (ease perceived) and accepted (acceptance) OPAC. In this study, data were collected through a questionnaire using Likert scale to 100 users si¬stem den response OPAC (Online Public Access Catalog). Sampling technique used is purposive sampling to determine the level of acceptance of the system OPAC (Online Public Access Catalog). Quantitative analysis includes the validity, reliability. In the classic assumption test, used test for normality, multicollinearity and heterokedastisitas with F and t hypothesis testing. Multiple linear regression analysis is used to determine the effect of the independent variables with the dependent variable. The results showed that perceived usefulness and perceived ease have a significant effect on the acceptance by the user system (R Square) amounted to 40.8%.
Analisis Algoritma Datamining pada Kasus Daerah Pelaku Kejahatan Pencurian Berdasarkan Provinsi R, Rinawati; Sihombing, Erene Gernaria; Dewi, Linda Sari; Arisawati, Ester
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i1.189

Abstract

Theft is a behavior that causes harm to victims who are targeted and can cause victims. The level of theft behavior is increasing in each region due to the increasing number of unemployment and lazy nature of work that makes a person commit theft to make ends meet. The purpose of this study was to analyze using the technique of datamining in the area of perpetrators of theft crimes by province. The technique used is clustering with the K-means method. Data sourced from the Indonesian Central Statistics Agency with the url address: https://www.bps.go.id/. The results of the study using this technique are clustered in areas in Indonesia which have the highest crime theft rates. From the results of the study using the K-means technique, that there are 17 provinces out of 34 provinces that have the highest crime theft (C1) areas, namely: Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Lampung, DKI Jakarta, West Java, Central Java, East Java, Banten, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, South Sulawesi, Papua. The results of the study are expected to be information for the government in conducting policies to reduce the crime crime rate in Indonesia which is very high (50%).
WEBSITE DESIGN FOR NUTRITION STATUS CLASSIFICATION OF TODDLERS USING UI/X WITH K-MEDOIDS ALGORITHM Arisawati, Ester; Rinawati, Rinawati; Sihombing, Erene Gernaria; Handayanna, Frisma; Dewi, Linda Sari
J-Icon : Jurnal Komputer dan Informatika Vol 13 No 1 (2025): March 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v13i1.21164

Abstract

Nutritional needs in Indonesia vary based on age, gender, physical activity, and an individual's health condition. According to Regulation of the Minister of Health of the Republic of Indonesia No. 28 of 2019, the Recommended Dietary Allowance (RDA) issued by the Ministry of Health provides guidelines on daily energy (calorie) requirements. For infants aged 0 to 12 months, the required intake is 550–725 kcal. The toddler phase (0–5 years old) is a golden period of growth, during which physical and brain development occurs rapidly. Malnutrition during this period can lead to growth disorders such as stunting, which has long-term effects on a child's health and intelligence. To determine a toddler's nutritional status, it is essential to classify their status based on weight and height ratio, commonly measured using Body Mass Index (BMI). BMI is used to determine whether a child's weight falls into the normal, underweight, or obese category. Therefore, regular monitoring is necessary to detect nutritional problems early, enabling proper intervention. This study aims to develop a website using the k-medoids algorithm to assess toddlers' nutritional status. The calculation process in this study, which involves 30 toddler data samples, determines the number of toddlers in each cluster: normal nutrition status, undernutrition, and obesity. The study also applies a Confusion Matrix to evaluate the clustering performance, including accuracy, precision, and recall. The evaluation results show that the k-medoids algorithm performs perfectly, achieving 100% accuracy for all clusters. This indicates that k-medoids successfully classifies the data into clusters without errors.