cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Muahamad Muslihudin
Contact Email
muslihudinstmikpsw@gmail.com
Phone
-
Journal Mail Official
tksistmikpringsewu@gmail.com
Editorial Address
-
Location
Kab. pringsewu,
Lampung
INDONESIA
Jurnal Teknologi Komputer dan Sistem Informasi
Published by STMIK Pringsewu Lampung
ISSN : 26203022     EISSN : 26203030     DOI : -
Core Subject : Science,
Computer Science & IT
The journal JTKSI is a peer-reviewed, scientific journal published by STMIK Pringsewu Lampung. Receives articles in technology information and this Journal publishes research articles, literature review articles, case reports and concept or policy articles, in all areas such as, Geographical Information System, Information systems scale Enterprise, Database, Data Warehouse, Computer Network Security, Data Mining, Computer Architecture Design, Mobile Computing, Computing Theory, Embedded system, Electronic Government, Electronic Commerce, Application Program, Decision Support System, Artificial Intelligence, Expert System, And Various Fields of Science Related to Information Technology and Information System.
Arjuna Subject : -
Articles 141 Documents
 11   12   13   14   15 
Implementation Of Data Mining Sales Of Household Furniture At Smart Kitchen Shop Using The Method K-Means Sandi Kurnia Wati; Supriyanto Supriyanto; Rima Mawarni; Herman Afandi; I Putu Brama Arya; Yogas Habib Nurfaizi
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 1 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i1.1334

Abstract

Household furniture is an item that is very much in demand by many people, especially mothers, the higher the number, the more demand. To get the desired information so that a store can sort out the inventory that must be met. So it takes a prediction for the sale of furniture products that are most requested by consumers which aims to facilitate the provision of stock goods. The purpose of this research is to apply data mining to determine what products or goods are most in demand, moderately desirable, less desirable. From the various data that the authors observe at the Smart Kitchen Store, namely the Smart Kitchen Store, it is still difficult to predict product inventory in the future. With this problem, we need to group the data based on the characteristics of product sales. In the grouping process, a grouping method will be used using the K-Means Algorithm as a manual calculation method and in its implementation a data mining software using RapidMiner Studio version 7.1 will be used.The results of the study consisted of 3 clusters, namely, 42 Most Interested Products (Double Stan Hangers, Napkins, and Stainless Dish Racks), 46 Moderately Interested Products (Super Mop Floor Mops, Surpets, and Electric Grater) and 32 Less Interested Products (Shower Hood 4 stacking, Ring Light, and stainless hood). at the Smart Kitchen Store, so that the data is used as a reference for the Smart Kitchen Store to manage the stock of goods so that the store does not disappoint customers because the goods or products you want to buy are not available.
Monitoring and Automation System of Swiftlet House Using Internet Of Things (IoT) Based Budi Usmanto; Novi Ayu Kristiana Dewi
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 1 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i1.1354

Abstract

This research aims to make a tool in the form of a technological engineering system that is integrated with its operation so that swiftlet farmers can use it. This research is expected to produce a more effective and efficient technology than partial tools and has not yet answered the needs of swallow farmers. The stages in this study used flowcharts consisting of literature studies, program design, making system blocks, system integration, tool testing, and analysis of the results. The system design consists of determining tools and materials and making a block diagram of the work system of the tool with the ESP32 microcontroller. In system settings, it is divided into several system blocks: sound control system block, temperature and humidity control, window opening and closing control, lighting control and streaming video monitoring in swiftlet houses. Based on the results of the study, it was obtained that monitoring and automation system tools for swallow houses use IoT-based Esp32. This tool can automatically regulate and automate sound, temperature, humidity, lighting, and windows in swiftlet houses and can be monitored remotely.
Sistem Pengelolaan Bantuan Langsung Tunai Berbasis Radio Frequency Identification (RFID) Sarimuddin Sarimuddin
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 1 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i1.1332

Abstract

Direct cash assistance is a government assistance program in the form of cash or other assistance, both conditional and unconditional. BLT receipts in the village of Bonemarambe were made at the village office by bringing an identity card (KTP) as proof of receipt. However, in general, the beneficiary community does not receive it directly but is represented by family, relatives or others. This is a problem because errors often occur in the distribution of assistance. There was a factor of mistaken identity when registering the beneficiary, which resulted in the aid distribution not being up to par and sometimes one of the residents received a help 2 (twice) times in the same period. This study aims to use information technology in the form of use of radio frequency identification devices (RFID) to manage direct cash assistance (BLT) in the village of Bonemarambe. where the tool performance system is that each aid recipient has a responder tag that will later be used as a BLT ID card. To enable BLT receipts to be effective, efficient and of course targeted. this is proven by being able to discriminate between people who have received help and people who have not received help at a certain time.
Analysis of Family Health with a Combination of Naive Bayes KNN Methods Ona Maliki; Muis Nanja
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 1 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i1.1350

Abstract

Health is a very important part in the life of our nation and country, in a developed and developing nation there is a healthy society. Healthy can be defined as the state of an individual who is prosperous both physically, economically and socially. Health is what needs to be maintained and cared for for the survival of a nation and state. Seeing the importance of the health element in a nation, the government has implemented the Nawacita program with one of the points referring to family health. In implementing the healthy family program, the government has sought to collect data and control healthy families with a family approach. Looking at the data collection system for healthy families with status determination, that is, averaging the indicator values to get the family's health status. The researcher intends to develop in terms of determining family health status by using a combination method of the K-Nearest Neighbor (KNN) method with Naïve Bayes with the aim of knowing the results of applying the method and obtaining better results. Based on the results of the research conducted, the accuracy value of 93.53% was obtained in the combination model of the Naïve Bayes KNN method. So it can be concluded that the combination of these methods is good for determining family health status.
An Intelligent Decision Making System for Prospective Recipients of Cash Transfer (Bantuan Langsung Tunai) Using Simple Additive Weighting (SAW) Method Yuntriani Yuntriani; Elvia Fajarwati; Ferry Susanto
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 1 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i1.1401

Abstract

Bantuan Langsung Tunai (BLT) or cash transfer is the government's commitment to help underprivileged communities and to improve the economy along with improving the quality of life of underprivileged families. With BLT, it can help people to meet their daily needs. The responsibility of the government, especially in rural areas, is a problem which must be faced by the village administration, especially the village head. The village head has a responsibility towards the people in the village, and the village head is a government official at the village level who is tasked with distributing BLT. BLT funds are sourced from the Village Fund which has been distributed by the central government to help village communities affected by an unstable economy. This research was conducted with the aim of determining prospective recipients of BLT using the Simple Additive Weighting (SAW) method. The Simple Additive Weighting method is used because this method connects attribute values, where the value must be raised to the power of the attribute's weight value. In determining the recipient of BLT, there are many criteria which must be owned by the Community as a condition for obtaining BLT. The criteria used are the size of the house, floors, walls, toilet facilities, house electricity, water sources, cooking fuel, consumption of meat, clothing, and the number of meals per day. The recipients of BLT amounted to 29 households from 50 families. From the results of the 50 Alternative Tests, the results of V1 with a value above 0.5 as the alternative were selected as recipients of direct cash assistance.
Analisis Kesadaran Mahasiswa Terhadap Bahaya Cybercrime Di Media Sosial Irvan Hadi Ramadhan; Erna Kumalasari Nurnawati
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 1 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i1.1342

Abstract

Students are one of the largest users of technology and the internet in Indonesia. This is due to the need for technology and the internet to support the continuity of lectures. On the other hand, students also have the potential to become victims of cybercrime. This is due to a lack of education about the dangers of crime on the internet. In addition, the level of concern for securing themselves in the internet world is still low. Cybercrimes that are rife in Indonesia include identity theft, online fraud, bullying, and others. Even though many cybercrimes occur, it is not uncommon for many users to publish their identities and the locations they are currently visiting via social media. On the other hand, the internet network is very well documented by students, this makes students often use free wifi which is not safe so it is at risk of cybercrime. Cybercrime will not occur if users have the knowledge, to be vigilant, especially students who should understand more about the negative effects of social media. Thus it is necessary to carry out an analysis related to user awareness on social media. This research was conducted on 100 student respondents from the Institut Sains & Teknologi AKPRIND Yogyakarta to find out how much the level of awareness and vigilance regarding the dangers of cybercrime is based on the categories of social media awareness, awareness of using e-mail and awareness of crime on the internet. This is evidenced by the results of the average level of awareness of IST Akprind students in using social media, which is included in the high category, which is as much as 82%. On the other hand, awareness of using e-mail and internet crimes is included in the sufficient category, namely 57.5% and 61.5% respectively. Therefore, assistance, education, or socialization is needed from the Institutions, Faculties, and study programs for students who do not have good awareness. This is because there are still students who do not have good vigilance when using e-mail and the internet. 
Implementasi Metode Simple Additive Weighting Untuk Penerimaan Mahasiwa Baru Jalur KIP Pada STMIK Dharma Wacana Cici Novita Sari; Tri Aristi Saputri
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1403

Abstract

KIP scholarships at stmik have 7 (seven) types of scholarships given to prospective students such as KIP scholarships, achievement scholarships, Islamic boarding schools, CSR, DT Cares, Creator Content, and Tahfhidz Qur'an,There are registration problems and limited quotas, so it is necessary to have a selection of calculations and election data collection in order to produce accurate data. Of the several types of scholarships, the KIP scholarship is the scholarship most in demand by prospective STMIK Dharma Wacana students. Therefore, this research will focus on KIP scholarships. The method used for this problem is Simple Additive Weighting (SAW). The SAW method is expected to be able to select the best alternative from a number of alternatives.The criteria for accepting registration for prospective new students through the KIP route include: Written Test, Interview Test, Report Card Score Test, File Completeness Score, and Home Eligibility Value. The result of calculating the Simple Additive Weighting method is that the highest score is Ar-Roqiib'u Raihannicko, the second highest is Eka Diana Forensia, and the third highest is Ahmad Rendi Ardiyanto.
Sistem Pakar Diagnosis Penyakit Tanaman Padi Dengan Metode Teorema Bayes Nurul Kholifah
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1404

Abstract

One of the cultivated plants is rice, oryza sativa in Latin, although some varieties are wild rice. Rice cultivation began in Indonesia around 15000 BC, although it is thought to have originated in India or Indochina. Rice is the most important crop in agrarian countries like China, India, Bangladesh and Indonesia. The japonica and indica groups usually contain rice plants. According to archaeological evidence, japonica rice was first domesticated around 9,000 years ago in the Yangtze Valley in southern China. Meanwhile, around 5,000 years ago, indica rice was first grown in the Ganges River valley. Rice-producing grass plants fall into this category. For most Indonesians, rice is a staple food. At the time of growth, rice plants are susceptible to various diseases which cause farmers to fail to harvest. To find out the diseases that attack rice plants, an expert who can diagnose rice plant diseases is needed. An expert is someone who understands the problem of diagnosing a disease. However, the lack of agricultural officers/extensioners in the Seputih Banyak District area. The purpose of this research is to apply an expert system using the Bayes theorem method to overcome problems regarding rice plant diseases and the limitations of agricultural officers/extensioners. And can be accessed by farmers anywhere when they need an epert system to diagnose a disease that attack rice plants without having to need assistance from extension  agricultural extension officers.
Implementasi Data Mining Untuk Memprediksi Status Gizi Anak Balita Pada Puskesmas Gedung Sari Menggunakan Polynomial Regression Evi Marlena; Sidik Rahmatullah; Sigit Mintoro; Ngajiyanto Ngajiyanto
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1490

Abstract

Predictions of children's nutritional Status can provide important input to. efforts to monitor and intervene in child nutrition, as well as support better decision-making in the field of child health. This study took data from Puskesmas data. Gedung Sari Health Center is a community health center located in Anak Ratu Aji District, Central Lampung Regency. Based on the results and discussion of the data analysis on the data above, related to the prediction of the nutritional status of toddlers at the Gedung Sari Health Center using polynomial regression, a conclusion is obtained. The conclusion of predicting nutritional status using polynomials depends on specific data analysis and modeling and the methods used. However, in general, polynomials can be used to model the relationship between input and output variables in the case of predicting nutritional status. predicted nutritional status of children and total predicted nutritional status obtained Predictions based on age in 2019 = 290,806; Predictions based on nutritional status in 2020 = 68,176; Predictions based on nutritional status in 2021 = 122,239. More research needs to be done to validate and increase the reliability of a prediction and integrate the results into health practice to improve child nutrition monitoring and interventions in the community health center.
Analisis Kepuasan Pengguna Terhadap Aplikasi Spotify Menggunakan Metode End User Computing Satisfaction (EUCS) M Ferlian Sijadah; Nabila Rizky Oktadini; Allsela Meiriza; Pacu Putra; Putri Eka Sevtiyuni
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1485

Abstract

Music streaming applications are applications that allow users to listen to legal or online music. Spotify is currently known as the application that provides the largest music streaming service, digital music, podcast, and video service with access to millions of songs and other content from various creators worldwide. This research concerns the analysis of user satisfaction with the Spotify application. This research was conducted to understand and determine user satisfaction with the Spotify application. The method used in this research is End User Computing Satisfaction (EUCS). There are also problems with this music application related to the competition system when listening to music online. The sampling technique uses Lemeshow sampling (based on coincidence) with a total of 100 respondents using a research instrument in the form of a questionnaire using a Likert scale, which is a scale used to measure perceptions, attitudes, or opinions of users towards the Spotify application. shows that the level of user satisfaction from the five variables shows that the Content variable gets the highest satisfaction with a total percentage of 78.5%, the Accuracy variable gets high satisfaction with a total percentage of 77.5%, the Format variable gets the highest satisfaction with a total percentage of 79.9%, the Variable Ease of Use gets high satisfaction with a percentage of 84.6%, the Timelines variable gets high satisfaction with a percentage of 78.9%.

Page 13 of 15 | Total Record : 141

 11   12   13   14   15 

Filter by Year

2018 2023


Reset
Filter By Issues
All Issue Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 1 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 5, No 3 (2022): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 5, No 2 (2022): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 5, No 1 (2022): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 4, No 3 (2021): JTKSI Vol 4, No 2 (2021): JTKSI Vol 4, No 1 (2021): JTKSI Vol 3, No 3 (2020): JTKSI Vol 3, No 2 (2020): JTKSI Vol 3, No 1 (2020): JTKSI Vol 2, No 3 (2019): JTKSI Vol 2, No 2 (2019): JTKSI Vol 2, No 1 (2019): JTKSI Vol 1, No 3 (2018): JTKSI Vol 1, No 2 (2018): JTKSI Vol 1, No 1 (2018): JTKSI More Issue