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J-SAKTI (Jurnal Sains Komputer dan Informatika)
Published by Sekolah Tinggi Ilmu Komputer Tunas Bangsa
ISSN : 25489771     EISSN : 25497200     DOI : http://dx.doi.org/10.30645/j-sakti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy
J-SAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa yang berfokus di bidang Manajemen Informatika. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. Topik dari J-SAKTI adalah sebagai berikut (namun tidak terbatas pada topik berikut) : Artificial Intelegence, Digital Signal Processing, Human Computer Interaction, IT Governance, Networking Technology, Optical Communication Technology, New Media Technology, Information Search Engine, Multimedia, Computer Vision, Information System, Business Intelligence, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems, Software Engineering, Programming Methodology and Paradigm, Data Engineering, Information Management, Knowledge Based Management System, Game Technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 499 Documents
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Analisis Sentimen Objek Wisata Bali Di Google Maps Menggunakan Algoritma Naive Bayes Utami, Dian Siti; Erfina, Adhitia
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.456

Abstract

Bali is one of the most popular tourist destinations in Indonesia because it has a variety of tourist attractions. So this study aims to analyze a tourist review on Google Maps of the most recommended tourist attractions in Bali. The author considers that the review can be used as a data by scrapping data from the Data Miner Website. Then the data that has been extracted is analyzed by predicting a rapid miner using the Naïve Bayes Algorithm, which is considered to have a high enough level of accuracy so that it can determine 5 recommended Bali tourist attractions based on tourist reviews on Google Maps. The results of this study conclude that Nusa Pedina with an accuracy value of 94.64% is the most visited Bali tourist attraction because the accuracy value is superior to Garuda Wisnu Kencana with an accuracy value of 82.86%, edge with an accuracy value of 80%, Pandawa with an accuracy value by 82.86%. The accuracy value is 90.71%, Uluwutu Temple with an accuracy value of 85.54%.
Analisis Sentimen Aplikasi Novel Online Di Google Play Store Menggunakan Algoritma Support Vector Machine (SVM) Nurhafida, Selva Indah; Sembiring, Falentino
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.447

Abstract

Following the COVID-19 outbreak, many people were forced to leave their employment due to layoffs in various companies, forcing them to seek other ways to pass the time. To pass the time, one of them reads novels online. Online novels are currently available through the android market's online novel platform, mainly the Google Play store. The best app has so far been awarded to the app with the most downloads and a star rating on the Google Play store. The Wattpad and Dreame apps have benefits and drawbacks, and there are several comments on the Google Play store site. Application reviews on the Google Play store can be used to determine if an app is good or poor, as well as to look for issues that people have with the app. Descriptive analysis obtained by rating a total of 4137 Wattpad user reviews revealed that 33.12 percent of users strongly dislike, 17.04 percent dislike, 15.71 percent neutral, 11.31 percent like, and 22.82 percent like, while applications Dreame received 10.94 percent users strongly dislike, 13.24 percent dislike, 27.86 percent neutral, 21.85 percent like, and 26.12 percent users strongly like from 3090 reviews. As a result of the rating, Dreame outperforms Wattpad
Klasifikasi Citra Bunga Dahlia Berdasarkan Warna Menggunakan Metode Otsu Thresholding Dan Naïve Bayes Syaeful, Achmad; Fadillah, Muhammad Ilham; Muftadi, Imam; Iskandar, Dadang
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.470

Abstract

Flowers are one of the organs of the plant body that function for generative propagation which has various forms and ways of working according to the type, but for plants that have seeds, these tools are usually important for plants that we know as flowers. Flowers are an important item in the object recognition process. The item recognition process in the computerized division is very important for determining the foundation and forefront of an image. It expects to get the spotlight it needs. The flower image in this study has a complicated picture which is very inconvenient because there are leaves and trees around the flower image. So, in this case concentrate on the proposed division involving Otsu Threshold as a strategy to isolate views and closer foundations. The division process is very firm to get shape highlights such as area, eccentricity, and perimeter. utilizing the computation of these elements will be sorted using the calculation of the Naïve Bayes algorithm by utilizing 120 flower images from 17 flower datasets. The dataset will be partitioned into test information and prepare information, and take advantage of cross-consensus (k=10). ensure that the settings using Naïve Bayes get a higher precision level of 99.168% with a relative absolute error of 9.0284%
Implementasi Penyelesaian Permasalahan Algoritma Ascent Hill Climbing Pada Puzzle-8 Mardiansyah, Yopy; Rizki, Sestri Novia
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.471

Abstract

A puzzle is an arrangement of numbers consisting of nine squares that are neatly arranged in a sequence of numbers 1 to number 8. Puzzle games are interesting, fun games and improve cognitive abilities, how to think quickly and are able to develop children's brains to increase their grasping power in solving a problem. . The problem that occurs in this study is the lack of children's ability to solve the logic of compiling puzzles, so make rules and steps to quickly complete this game. The main purpose of this research is to help children improve their thinking patterns so they can arrange numbers 1 to 8 with fast time and solutions. The method used is the Best First Search algorithm in finding the Final Goal quickly and easily. The final result of this research, after several stages of eating, the final result is that the puzzle sequence has fulfilled the final goal according to the initial data. The basic concept of solving the Best First Search Algorithm must follow the rules that have been set by running the process in accordance with existing procedures. If in the search process an unsuitable arrangement is found, then proceed with the next search until it finds the correct position in the form of a sequence of numbers 1 to 8. If it is found, the search algorithm is stopped
Implementasi Metode AHP TOPSIS pada Pemilihan Santri Berprestasi Amanatulloh, Sahrul Adi; Soelistijadi, R.
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.485

Abstract

Islamic boarding schools are one of the traditional educational institutions that study Islamic values daily, the selection of student scholarships still uses manual so that it will affect the results of scholarship selection and data input still uses handwriting so that storing files for a long time is likely to be damaged due to exposure to water. or torn, it is necessary to create a system that helps the scholarship selection process using the AHP (Analytical Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods. In AHP there are 4 (four) stages, including: determining the criteria, determining the pairwise comparison table, calculating the criterion value matrix and the consistency ratio. The criteria used refer to the requirements for the selection of students at the al-Madani Islamic boarding school. AHP is used to calculate the weight of each criterion and TOPSIS for ranking, the first step is to calculate the AHP method by inputting criteria and determining pairwise comparison tables to produce weights between criteria. The TOPSIS implementation includes: alternative data, alternative assessments, weighted normalization, determining positive and negative ideal solutions, and calculating the distance of positive and negative ideal solutions so as to produce a ranking, a decision support system for selecting outstanding santri scholarships with the highest preference value, namely: 0.69123910870266 so that the results This can be a benchmark for scholarship recipients based on predetermined criteria.
Analisis Minat Penggunaan Fitur Permohonan Layanan Pln Pada Aplikasi New PLN Mobile Dengan Menggunakan Metode TAM 3 Prasetyohadi, Latif; Suryani, Erma
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.517

Abstract

PT PLN (Persero) as a state-owned company with a business in the electricity sector is always trying to improve the quality of service to customers. One of the efforts made is to develop an existing application platform, namely PLN Mobile into New PLN Mobile. As a development from the previous application, PLN has added features for requesting new installation services, changing power, and applying for tariff changes in the New PLN Mobile application. However, with the addition of a new feature, namely the PLN service request feature in the New PLN Mobile application, it will change the PLN service business process that has been running for years. Changes in business processes will affect customer habits in applying for PLN services. This study aims to determine how customer acceptance of the service request feature in the New PLN Mobile application is measured through the intensity (perceived usefulness) and ease of use of the customer. The method used in this research is the distribution of questionnaires followed by statistical analysis using the Technology Acceptance Model (TAM) 3. TAM is a statistical method that combines technology acceptance with a structured equation model. The results obtained are Perceived Usefulness (PU) is influenced by Subjective Norm (SN), Job Relevance (REL), Output Quality (OUT) and Result of Demonstrability (RES), while Perceived Ease of Use (PEOU) is influenced by Perception of External Control (PEC), Computer Anxiety (CANX), Computer Playfulness (CPLAY) and Perceived Enjoyment (ENJ), then Behavioral Intention (BI) is influenced by Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) and Use Behavioral (USE) is influenced by Behavioral Intention (BI). This research is expected to provide input in developing the New PLN Mobile application and improving the quality of PLN services in the future.
Algoritma Genetika Untuk Perancangan Aplikasi Penjadwalan Mata Pelajaran Furqan, Mhd; Armansyah, A; Ananda, Rizki
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.476

Abstract

The schedule is one of the important activities to help the teaching and learning process in schools, the schedule planning process is still done manually so there are still conflicting schedules between classes. because of the large number of classes and a lot of time ordering a certain day so that sometimes up to 3 times the revision schedule, and the implementation of learning becomes late. To overcome this, one of the appropriate ones is used so that the scheduling process can run well. One of the algorithms used for scheduling the genetic algorithm is one of the improvement algorithms that can be used in various types of problems such as scheduling, the schedule will be tested on classes that clash, which are selected randomly. random or random in each class, the test will be asked to input or fill in the crossover probability number = 0.70 and mutation probability = 0.40 and the number of generations = 1000, then executed. After that it will occur and program execution in the form of selection, crossover, and mutation that will occur in the background of the screen, so that the results of applying 17 classes and 1 laboratory room using the genetic algorithm method can be used to compile a list of lessons.
Penerapan Metode SAW Pada Rekomendasi Pemilihan Jenis Jamur Untuk Budidaya Dan Konsumsi Nurrohim, Muhammad; Lestariningsih, Endang; Nurraharjo, Eddy
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.508

Abstract

Advances and developments in technology are currently getting faster, because technology has many uses. One of them is technology is used to assist in making decisions. The aim of this research project is to design and build a decision support system to determine which mushroom plants can be cultivated and consumed safely, resulting in a recommendation system for selecting mushroom species for cultivation and consumption for users or the community. In recent years, mushrooms have become a hot topic of conversation in Indonesia. Currently, people in Indonesia are starting to like to consume various processed foods made from consumption mushrooms. So that the raw material for production, namely mushrooms, is needed quite a lot. In the end, several elements of society began to peek at business opportunities to cultivate consumption mushrooms to earn income. The method that will be applied in the system is the SAW (Simple Additive Weighting) method. The workings of the method is to perform calculations, namely calculating the weighted number of rating criteria on all attributes in each alternative then producing the largest value which is selected as the best alternative and a thorough ranking is carried out. The results obtained are for oyster mushrooms to be ranked as the best alternative with the largest value of 23
Rancang Bangun Alat Praktek Simulasi Monotoring Keseimbangan Beban Listrik 3 Fasa Berbasis Iot Pongoh, Deitje; Budiman, Marson
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.531

Abstract

The 3 phase system was developed because it has the advantage that the transmitted power can be greater than a 1 phase system with the same conductor size and electric current. This 3-phase electricity monitoring is carried out to determine the condition of the 3-phase electric current leading to the load whether it is balanced or not. The purpose of making this tool is to design a balance load monitoring tool via a smartphone remotely. Internet of Things (IoT) is a concept that aims to expand the benefits of continuously connected internet connectivity. PZEM-004T is a hardware that functions to measure parameters of voltage, current, active power, and power consumption (wh). NodeMCU is an open source IoT platform and an electronic board based on the esp8266 chip with the ability to run microcontroller functions and also an internet connection. The method used in this research is the design, manufacture of tools and testing. In software testing aims to assess the functions of the application running well and to test the relationship between hardware and software as a program. The test steps include testing from NodeMCU 8266 to the PZEM 004T sensor where this sensor is a current, voltage and power measuring sensor. This test uses the Internet of Things for monitoring from the web. The results of the study are a monitoring tool where the measured load in the R S T phase can be seen from the LCD screen and monitored remotely via a smartphone
Sistem Pendukung Keputusan Pemilihan Calon Penerima Program Indonesia Pintar Dengan Metode Fuzzy TOPSIS Ainaya, Regina; Gustian, Dudih
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.499

Abstract

Smart Indonesia Program Assistance is educational assistance provided by the government to elementary, middle and high school students aged 6-12 years. The Smart Indonesia Program is an improvement from the previous government program, namely Assistance for Poor Students. This assistance is one of the existing aids at the MI Salakopi school, but the school is still having difficulties in determining the students who are entitled to the Smart Indonesia Program (PIP). This problem is due to the same criteria and the selection is still manually by the school operator. In addition, in previous studies, there were several similar rankings, of course reducing the level of objectivity and accuracy of research based on the results of direct observations of prospective beneficiaries. The combination of the Fuzzy Topsis method is expected to provide a solution, especially in reducing the same ranking data so that the accuracy of objectivity is better. The Fuzzy Topsis method can reduce the results of the same ranking to 46%. The final result of the calculation using Fuzzy TOPSIS which was tested on 15 alternatives with the highest value of A12 of 0.658

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