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All Journal International Journal of Advances in Applied Sciences InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika SemanTIK : Teknik Informasi Jurnal Pengabdian Pada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) INTI Nusa Mandiri Dimasejati: Jurnal Pengabdian Kepada Masyarakat Journal of Students‘ Research in Computer Science (JSRCS) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Pada Masyarakat J-Icon : Jurnal Komputer dan Informatika
Ester Arisawati
Universitas Nusa Mandiri
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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 | 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.
Co-Authors Akmaludin Akmaludin Akmaludin Akmaludin Akmaludin Akmaludin Akmaludin Akmaludin, Akmaludin Akmaludin, Akmaludin Arif Sugianto Cepi Cahyadi Dewi , Linda Sari Dewi, Linda Sari Dewi, Linda Sari Erene Gernaria Erene Gernaria Sihombing, Erene Gernaria Frisma Handayanna Frisma Handayanna Frisma Handayanna Handayanna, Prisma Kharismaya, Citra Linda Sari Dewi Linda Sari Dewi Linda Sari Dewi Linda Sari Dewi Maryana Maryana Maulida, Linda Nita Rizkiana Nurmalasari Nurmalasari Nurmalasari Nurmalasari Rinawati Rinawati Rinawati , Rinawati Rinawati R, Rinawati Rinawati Rinawati Rinawati, Rinawati S. , Erene Gernaria Sari Hartini Sutarji Wicaksono Wicaksono, Sutarji Wida Prima Mustika Wulan Dari