cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota pematangsiantar,
Sumatera utara
INDONESIA
J-SAKTI (Jurnal Sains Komputer dan Informatika)
Published by STIKOM Tunas Pematang Siantar
ISSN : 25489771     EISSN : 25497200     DOI : -
Core Subject : Science,
Computer Science & IT
JSAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa Pematangsiantar yang bertujuan untuk mewadahi penelitian di bidang Manajemen Informatika. JSAKTI (Jurnal Sains Komputer dan Informatika) adalah wadah informasi berupa hasil penelitian, studi kepustakaan, gagasan, aplikasi teori dan kajian analisis kritis dibidang Ilmu Komputer terbit 2 kali setahun.
Arjuna Subject : -
Articles 499 Documents
 23   24   25   26   27 
Implementasi Metode Analytical Hierarchy Process Dan Interpolasi Linier Dalam Penentuan Lokasi Wisata Di Kabupaten Karangasem Sudipa, I Gede Iwan; Wiguna, I Komang Arya Ganda; Putra, I Nyoman Tri Anindia; Hardiatama, Kadek
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.383

Abstract

Bali is known for its tourism sector, so it has always been one of the alternative tourist destinations for local and foreign tourists. Almost every district in Bali has interesting tourist attractions to visit for tourists. When traveling, tourists usually decide to visit interesting tourist destinations. The number of tourist destinations available, often makes tourists confused about choosing a destination according to their preferences. Therefore, this research is intended for tourists to be able to determine alternative priority tourist sites in Karangasem Regency. In this study, data were collected from 75 respondents to find out alternative tourist sites in Karangasem, and to determine the criteria to be considered for traveling. These criteria are rides provided at tourist sites (C1), price of admission to tourist sites (C2), distance from tourist sites to city center (C3) and facilities provided at tourist sites (C4). 4 alternative tourism data used in the calculation by producing alternative tourist sites at Taman Ujung as the best alternative. The method used is the Analytical Hierarchy Process (AHP) to produce the weighted criteria, scoring the ticket price and distance values using Linear Interpolation and calculating the final value using the Cost and Benefit normalization process. The results of this study can provide alternative tourist locations for domestic tourists who want to vacation in Karangasem Regency.
Klasterisasi Angka Usia Muda Melek TIK Berdasarkan Algoritma K-Means Menurut jumlah Provinsi Indonesia Massie, Olivia Immanuela; Padilah, Tesa Nur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.374

Abstract

Advances in technology that can’t be separated from human life, making information easier to obtain. The results of a survey conducted by APJII on the penetration of internet users in 2018 based on age, stated that the use of the internet was dominated by young people. For this reason, it is hoped that in the future there will be improvements in numbers in the form of equitable use of ICT in all provinces in Indonesia. This research was conducted based on the clustering of young people who are ICT literate. The amount of data used is in accordance with the current number of Indonesian provinces, which are thirty-four provinces using the K-Means algorithm. The dataset in this study was obtained from the official government website https://.www.bps.go.id/ from 2017 to 2019. Clustering was carried out only to group provinces into two types of groups, which can later be used as evaluation material for the government in the framework of the equitable distribution of ICT in each province. The final result of this study is that there are twenty-five provinces that are included in cluster 1 and nine provinces are included in cluster group 2. Thus it is necessary to increase the ICT literacy rate for provincial clusters whose values are still lagging behind other provinces.
Sentimen Analisis Pengguna Twitter pada Event Flash Sale Menggunakan Algoritma K-NN, Random Forest, dan Naive Bayes Wandani, Aprilia; Fauziah, F; Andrianingsih, A
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.365

Abstract

There is a sales system called Flash Sale in e-commerce. Basically the concept of a Flash Sale is to offer a lower price and a predetermined time and number of products. The sales system is only held at certain moments, by making cheaper product sales but with a limited time and number of products it will make sales increase because buyer interest will be higher. But apart from all the advantages of course there will be pros and cons. Sentiment analysis on Twitter was chosen because Twitter itself is a social media that allows users to be free to comment or write opinions about anything, including opinions about flash sale events that exist in e-commerce today. Thus, this research exists to find out the opinions of existing Twitter users regarding the Flash Sale event held by e-commerce. By using the methodology of three classification algorithms, Naive Bayes, K-Nearest Neighbor and Random Forest in classifying the data to determine the accuracy of the sentiment value of Twitter users in the Flash Sale event. This research takes two data samples from the keywords "flash sale" and "flash sale shopee", the results accuracy of the implementation of the three classification algorithms are 83.53% Naive Bayes, 82.94% K-NN, 80.59% Random Forest for the keyword "flash sale” and 81.48% Naive Bayes, 77.78% K-NN, 74.07% Random Forest for the keyword “flash sale shopee”. With this, the Naive Bayes Algorithm becomes a recommendation for classifying Sentiment Analysis data with greater accuracy and more stability to be used for large and small data.
Rancang Bangun Sistem Informasi Penyewaan Mobil Dengan Menggunakan Model Waterfall Hidayati, Nur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.397

Abstract

An information system is a system consisting of elements in an organization created by humans to achieve a goal that is to be able to present information accurately. The use of a good information system is needed in various business fields, including in the car rental business. Car rental is one of the businesses that provide services to the wider community, where currently the development of the business is getting faster. However, many of these car rental businesses still carry out conventional data processing. So that it causes obstacles such as searching for data and making rental reports that take a long time and there are inaccuracies in the presentation of rental reports. With these obstacles, the use of the information system has not been implemented properly, so the car rental business requires development. The purpose of the development or design of information systems is to help resolve these constraints. In order to achieve this goal, an appropriate model is needed in the design of the system such as the use of the Waterfall model. The Waterfall model is very clear in its stages and the expected final result is to be able to produce a car rental program application that can solve all obstacles in the car rental information system.
Analisi Data Transaksi Penjualan Menggunakan Algoritma Apriori Untuk Menentukan Paket Promosi Refarasi Mobil R, Aria Renalda; Irawan, Agung Susilo Yuda; Suharso, Aries
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.388

Abstract

Rizal Motor Workshop is a business in the field of services and sales of auto parts. More and more workshops are growing rapidly at this time, making Rizal Motor Workshop making a better marketing strategy than other workshops. With a promotional package it will attract the attention of consumers who were previously not interested in shopping to become very interested because of the available promotional packages. To determine the promotional package at the Rizal Motor Workshop to be more efficient and on target, the author uses one way to look at the items most frequently purchased by consumers. The purpose of this study is to analyze sales transaction data to be used as a promotional package based on the buying patterns of consumers. The method used in this study uses the Knowledge Discovery in Database (KDD) method which consists of stages of data selection, data cleaning, data transformation, data mining, and evaluation. The algorithm in this study uses the Apriori Algorithm which looks at the itemset formed, in this study using 4 itemsets with a minimum support of 60% and a minimum confidence of 90%. For the results obtained are associations between products or connectedness of goods, in this study the confidence value obtained was 98.182% which is the best confidence value contained in the 3 itemse.
Penerapan Vector Space Model Dalam Klasifikasi Penilaian Thematic Appeception Test Nurhasan, Usman; Arianto, Rakhmat; Kurnia, Alwan Ghozi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.356

Abstract

Psychology is the study of human mental behavior and functions scientifically. In practice, a person's personality can be assessed from psychological tests. One of the psychological tests is the Thematic Apperception Test (TAT). TAT Test is a projective psychological test consisting of various themes presented in the form of an image which is then projected accordingly with the response. The purpose of the TAT is to reveal the dynamics of the subject's personality in the form of encouragement, sediment, complex, and various dominant conflicts. Thematic Apperception Test still uses a card and tape recorder to record Testee's voice. Calculation of results or assessments is still done manually. Errors in the assessment will affect the results, so we need an intelligent information system using the vector space model method based on experience in the field of psychology. A web-based system which can provide personality test results and information about the Thematic Apperception Test. From the test results using 10 stories, it was found that the average precission value was 72.7%, the average recall value was 86.7%, and the average f-measure value was 78.3%.
Pengembangan Aplikasi Dewan Masjid Indonesia (DMI) Berbasis Ekonomi Umat Dengan Metode Waterfall Winarsih, Nurul Anisa Sri; Fanani, Ahmad Zainul; Saraswati, Galuh Wilujeng; Rohman, Muhammad Syaifur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.379

Abstract

The conventional economic system has been developing for a long time, followed by the Islamic economic system which is currently developing rapidly in Indonesia. Sharia economic activities are based on the rules of the Koran regarding right and wrong, good and bad, and halal and haram rules. The background of sharia business ethics is the Prophet Muhammad SAW which is based on the Al-Quran and Hadith. The sharia economy can be seen with the emergence of Islamic banks, almost all major banks in Indonesia have sharia branches. Not only that, e-money and sharia payment gateways already exist. This is based on the large number of Indonesian people who adhere to Islam and the increasing awareness of Muslims in Indonesia in implementing the Islamic economic system. Since March 2, 2020, the Corona virus or Covid-19 pandemic has entered Indonesia. Many employees become unemployed. 50% of MSMEs could go bankrupt in the next few months. Whereas small businesses make a big contribution to the absorption of jobs in Indonesia which creates income for the population. The management of the Semarang City DMI organization took the initiative to ease the burden on the people, especially in the city of Semarang by making the DMI application based on the people's economy. Waterfall is the method used in this research. Waterfall is suitable for application development with a complete needs analysis. After the PSBB period ended, there were many unemployed who tried their luck by selling small businesses and MSMEs opened slowly. It is hoped that the DMI application can introduce the business of the community around the mosque and other people can buy the business easily through the application.
Analisis Sistem Pendukung Keputusan Menentukan Produk Terlaris dengan Metode Simple Additive Weighting Siagian, Yessica; Kifti, Wan Mariatul; Hutahaean, Jeperson
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.402

Abstract

This study aims to recommend the best-selling Milk in CV. Sempurna based on criteria determined by using the technique of decision support system. Mechanical multi-criteria decision-making is based on the theory that each alternative consists of a number of criteria that have values and each criterion has weights illustrates how important these criteria with the other criteria. The final results obtained from this decision support system will provide an alternative, to recommend the best-selling Milk Product Selection in CV. Sempurna. The Best Milk Product Name SAW was Carnation Coffee-Mate Id 48x495g obtaining ranked first, next Bear Brand RTD Tin 30x189 Ml and Nestle Miss Plain Sbc Can 48x370 Gr rated two and three.
Akuisisi Bukti Digital Dan Deteksi Keaslian Citra Pada Whatsapp Menggunakan Metode NIST Dan ELA Putra, Ikhwan Wiratama; Suharso, Aries; Rozikin, Chaerur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.370

Abstract

The growth of technology in the last 3 years has been very rapid, as is the growth of smartphone use. This growth is directly proportional to the crime cases that occur, especially in Indonesia. There were a total of 12,835 case complaints from 2018 to 2020, and the most cases were online fraud cases with 7,560 reports related to fraud on cyber patrol sites. One of the crimes that often occurs is online fraud cases using fictitious transfer receipts. This crime was committed using one of the short messaging applications, namely Whatsapp. After the crime was successfully carried out, the perpetrator then deleted the evidence in the form of the conversation along with a photo of the proof of the transfer using one of the features on WhatsApp. Therefore, this study aims to obtain or acquire evidence on the Whatsapp application using the NIST (National Institute of Standards and Technology) method and applying the ELA (Error Level Analysis) technique to analyze evidence in the form of images obtained to strengthen the evidence in court. In facilitating the investigation process, a forensic tool is needed. The forensic tools used in this research are Magnet Axiom and ForensicallyBeta. The final result obtained is that Magnet Axiom managed to find some evidence, including conversation messages, victim contacts, call history, profile photos of the perpetrators, and pictures. With the help of ForensicallyBeta tools, the obtained receipt image can be analyzed and identified that there has been a modification to the receipt.
Sistem Informasi Akademik Pada Sekolah Tinggi Ilmu Sosial Dan Ilmu Politik Silas Papare Jayapura Mayor, Perskilla Risa Linda; Jusmawati, J; Robo, Salahudin
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.361

Abstract

School of Silas Papare Jayapura is one of the high schools that has implemented an information system in carrying out their management of job. However, there are still lack in the application of the information system. As in the academic section, the information system has not been implemented in managing lecture activities, so that the data management of activities in the academic section are still carried out semi-manually. The purpose of this research is to assist academic staff in managing academic data, assist lecturers in inputing of score, and provide better service for students of Silas Papare Jayapura. This web-based Academic Information System was created using the PIECES analysis method, using the Unified Modeling Language (UML) method as a system design, using the waterfall method as a system development, and the Black Box as system testing method. This research produces an academic information system that has been organized in managing academic data and becomes a means of information systems for academics, lecturers and students in schools of Silas Papare Jayapura

Page 25 of 50 | Total Record : 499

 23   24   25   26   27 

Filter by Year

2017 2024


Reset
Filter By Issues
All Issue Vol 8, No 1 (2024): EDISI MARET Vol 7, No 2 (2023): EDISI SEPTEMBER Vol 7, No 1 (2023): EDISI MARET Vol 6, No 2 (2022): EDISI SEPTEMBER Vol 6, No 1 (2022): EDISI MARET Vol 5, No 2 (2021): EDISI SEPTEMBER Vol 5, No 1 (2021): EDISI MARET Vol 4, No 2 (2020): EDISI SEPTEMBER Vol 4, No 1 (2020): EDISI MARET Vol 3, No 2 (2019): EDISI SEPTEMBER Vol 3, No 1 (2019): EDISI MARET Vol 2, No 2 (2018): EDISI SEPTEMBER Vol 2, No 1 (2018): EDISI MARET Vol 1, No 2 (2017): EDISI SEPTEMBER Vol 1, No 1 (2017): EDISI MARET More Issue