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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
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Peramalan Jumlah Kunjungan Wisatawan Mancanegara Ke Bali dengan Jaringan Saraf Tiruan Backpropagation Parwita, Wayan Gede Suka; Sukraeni, Ni Putu Popy
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.v6i1.464

Abstract

The Central Statistics Agency declared that the number of foreign tourist visits to Indonesia in January 2020 reached 1,272,083 visits, where the number of visits increased by 5.85 percent compared to the number of visits in January 2019. Meanwhile, when compared to December 2019, the number of foreign tourists visiting in January 2020 decreased by 7.62 percent. One of the areas that become a destination for foreign tourists in Indonesia is Bali Currently Bali, especially in the tourism sector, provides a major contribution to the Indonesian economy. As a form of tourism development in Bali and to responses this surge, it is necessary to have a strategy for the future that can anticipate dynamic environmental changes and as much as possible the negative impacts such as a decrease in the number of foreign tourists to Bali. One of the ways to anticipate these obstacles can be done by forecasting the number of tourist arrival due to the need readiness of related parties. This study uses the backpropagation neural network method. The architecture used for air lines is 12-7-1 and for sea routes is 12-10-1. The results showed that the airline forecast accuracy rate was 88,137% with MSE value of 0.133751 and a sea lane accuracy rate of 42,044% with MSE value of 0.052258
Analisis Modifikasi Algoritma Kriptografi Klasik Menggunakan Algoritma Blum-Micali Generator Aripin, Soeb; Syahrizal, Muhammad
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.v6i1.432

Abstract

Classical cryptography is the science of securing secret messages (plaintext) into disguised messages (ciphertext) in which each character is changed. The process of converting plaintext into ciphertext is called encryption, while the reverse process is called decryption. However, this classical crypto algorithm can still be solved using the Kasiski method, due to the mathematically regular pattern of repeating keywords. Therefore, in order not to be easily solved, another method is needed, namely by modifying the Caesar Cipher and Vigenere Cipher cryptographic algorithms. Therefore, to strengthen the security of the classical cryptography algorithm, it is necessary to carry out a modification process using an algorithm that is able to change the complexity of the encoding by using a randomization algorithm. By including a randomization algorithm, it is considered that it can eliminate the possibility of attackers guessing the results by knowing the algorithm used. The randomization algorithm used is the Blum-Micali Generator algorithm. The purpose of using the Blum-Micali Generator algorithm is that the encryption process is randomized so that the encryption results obtained are more difficult to guess, making it difficult for cryptanalysts to read the message or information
Pengelompokan Negara Berdasarkan Indikator Kesejahteraan Dengan Metode Unsupervised Learning-Clustering: Bukti Empiris dari 167 Negara Farih, Imaduddin; Fadillah, Lukman; Nadira, N; Aromy, Verry Dina; Patria, Harry
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.v6i1.423

Abstract

One of the goals of the countries is to do continuous development in a positive direction so that the welfare of the country is guaranteed. To assess the development of a country can be seen from various factors such as socioeconomic and health factors. Some of the indicators used including GDP, health, income, export-import and others. This analysis can be used an evaluation of each country to improve its level. In addition, it is also used as a basis for determining which countries are entitled to receive assistance from funding institutions, so that the people of these countries can have a better life. Based on these problems, the authors analyze data of countries in the world using the Machine Learning Unsupervised which is Clustering method with KNIME. This analysis aims to determine the effect of indicators on the level of a country. The data to be studied are 167 countries in the world with socioeconomic and health factors. Based on research to avoid multicolenarity the authors use the PCA method. From this study, the authors used 4 PCA which represented 90% of the data and obtained 3 optimal clusters with an average silhouette value of 0.443.
Analisis Prediksi Curah Hujan Bulanan Wilayah Kota Sorong Menggunakan Metode Multiple Regression Yusuf, Muhammad; Setyanto, Arief; Aryasa, Komang
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.v6i1.455

Abstract

Currently, climate change in Indonesia, which is a tropical region, is always uncertain and makes it difficult to predict weather conditions. Weather conditions can be influenced by temperature, air pressure, wind speed, humidity and rainfall. Rainfall is a climate parameter that has a high level of diversity due to climate anomalies. There are several factors that influence the characteristics of the diversity of rainfall, namely geographical, orographic, topographical, orientation and structure of the islands. These factors cause the distribution pattern of rainfall to be uneven between one area and another. For that we need a method that can solve the problem of predicting rainfall both daily, monthly and yearly. Prediction of rainfall with a statistical approach can be done through the Multiple Linear Regression method. Where in this study, rainfall is the dependent variable, while temperature and humidity are independent variables. The results obtained from the WEKA Application with a total of 60 data from 2017 to 2021, the correlation coefficient value is 0.8175, and from the evaluation results using Linear Regression, the MAE error rate is 78.8695 and the RMSE is 95.1982. It can be concluded that the effect of temperature and air on the occurrence of rainfall is 81.75%
Analisa Tingkat Pemahaman Sivitas Akademika Terhadap Layanan SIA Dengan Unified Theory Acceptance And Use of Technology Jufri, Muhammad
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.v6i1.446

Abstract

Ассeрtаnсe  оf  the  Bаtаm  Internаtiоnаl  University  асаdemiс  infоrmаtiоn  system  fоr  асаdemiс  infоrmаtiоn  serviсes  is  imроrtаnt  tо  determine  the  indiсаtоrs  thаt  the  system  is  ассeрted  аnd  imрlemented  by  students  tо  suрроrt  the  leсture  рrосess.  This  study  аims  tо  determine  the  relаtiоnshiр  between  рerfоrmаnсe  exрeсtаnсy,  effоrt  exрeсtаnсy,  sосiаl  influenсe,  fасilitаting  соnditiоns  оn  the  behаviоrаl  intentiоn  оf  асаdemiсs  tо  асаdemiс  infоrmаtiоn  systems.  This  is  beсаuse  there  аre  still  асаdemiсs  whо  dо  nоt  knоw  аnd  use  асаdemiс  infоrmаtiоn  systems  аs  infоrmаtiоn  systems  .  The  methоd  used  is  by  distributing  250  questiоnnаires.  The  рорulаtiоn  in  this  study  were  аll  рrivаte  асаdemiсs  аt  Bаtаm  Internаtiоnаl  University.  The  sаmрle  wаs  сhоsen  rаndоmly  frоm  vаriоus  асаdemiс  resроndents  whо  hаve  аnd  hаve  nоt  used  асаdemiс  infоrmаtiоn  systems.  The  results  оf  this  study  indiсаte  thаt  рerfоrmаnсe  exрeсtаnсy,  effоrt  exрeсtаnсy  аnd  fасilitаting  соnditiоns  аre  very  influentiаl  in  the  behаviоrаl  intentiоn  оf  асаdemiс  infоrmаtiоn  systems.  While  sосiаl  influenсe  dоes  nоt  hаve  аn  imрасt  оn  the  desire  tо  use  the  system  tо  use  (behаviоrаl  intentiоn)
Perancangan Sistem Informasi Warga di Rw 01 Kelurahan Kebon Bawang Berbasis Web Sarimole, Frencis Matheos; Surapati, Untung; Purwandono, Eddy; Karim, Lutfi; Diadi, Randitia Ridad; Syaeful, Achmad; Wibawa, Andri Putra
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.v6i1.469

Abstract

Rukun Warga 01 is an area located in Kebon Bawang Village, Tanjung Priok District, Central Jakarta. Where, currently RW 01 services are still carried out conventionally, starting from population data management, administration in the form of cover letters, disseminating information from RW to each RT. Data processing is currently done by recording in the bookkeeping archive. Dissemination of information to residents still relies on information boards or through person to person, and administrative letters such as cover letters have not implemented computerized methods or are still using manuals. Knowing this, the current system is considered to be still less effective if used continuously it can make it difficult to find data, errors often occur and the distribution of information is uneven. Therefore, a website-based information system was created. To support this, the authors collect information through observation, interviews, literature study. The system development methodology used is the SDLC (System Develop life Cycles) method using the Waterfall model. This website is made with PHP programming language and MySQL as database. The results of the research This information system makes a computerized system that makes it easier for RW administrators to collect citizen data and provide information that is accurate and fast, and evenly distributed
Algoritma K-Means Untuk Segmentasi Kematangan Buah Jeruk Berdasarkan Kemiripan Warna Furqan, Mhd; Sriani, S; Aulia, Atiqah
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.v6i1.437

Abstract

The condition of citrus fruits can be determined by looking at several parameters, one of which is color, larger pores, and even yellow skin. So far, the identification of the maturity level of citrus fruits by farmers and consumers has used manual techniques, for example paying attention to the color, pores and peel of the orange product. Such identification will be very large and fluctuating developmental days because people have visual impairments in recognizing, fatigue, and judgment on great development. Barriers to strategy guidance require innovations that can complete the development process impartially, and with clearer results. One of them is the segmentation process using yahoo k-means. The segmentation process aims to divide or separate the image into several (local) districts based on the specified attributes. The k-means algorithm will cluster data with similar attributes assembled into one set and data with various qualities assembled into different sets. From the results of taking pictures from 6 angles, namely front, back, top, bottom, and right and left using 8 datasets, it produces 48 images, and by testing the clustering results, ripe oranges produce 6 and 2 ripe.
Pendeteksian Jumlah Bangunan Berbasis Citra Menggunakan Metode Deep Learning Bagaskara, Radhinka; Rizkita, Alya Khairunnisa; Fernandes, Rivaldo; Yulita, Winda
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.v6i1.428

Abstract

Counting residential houses is one of the problems faced when determining population density level in Indonesia, therefore it’s required to find a method that’s able to solve said problem. Deep learning method is capable of creating a prediction model for detecting the number of buildings from an image. The deep learning prediction model is created with MobileNetv2 application. The prediction model is trained by using a dataset from Kaggle. The prediction model is tested using satellite photos taken from Way Kandis-Sukarame, Bandar Lampung. The result is a deep learning prediction model with accuracy of 91.30% for SenseFly and 10.34% for Way Kandis dataset. The research can be further improved by using a better training and testing dataset
Pembuatan Aplikasi Try Out Cat (Computer Assisted Test) Penerimaan Pegawai Negeri Sipil Bidang Tes Intelegensi Umum Berbasis Desktop Saputro, Agung Dwi; Kuddi, Bobi Frans
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.v6i1.460

Abstract

Civil servants are a job with a large demand, this can be seen from the data from the State Civil Service Agency (BKN) each year. Data from the State Civil Service Agency shows that from 2017 to 2018 there was an increase in the number of participants, namely as many as 2,433,655 in 2017 and to 4,436,694 in 2018. However, to become a civil servant there are many stages of tests that must be passed starting from the Selection administration to the final stage of filing. However. The Computer Assisted Test (CAT) stage is the most difficult stage because participants are required to work on questions using a computerized system with a short time limit. The purpose of this research is to create a program that is similar to the CAT program. The convenience provided is the availability of a try out application that can be accessed at any time, besides that, prospective participants are made familiar with the original CAT application because the try out application is made as closely as possible.
Analisis Penilaian Kinerja Karyawan Dengan Metode Simple Additive Weighting Di PT Paiho Indonesia Febriani, Ersa; Muslih, Muhamad
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.v6i1.451

Abstract

An employee performance appraisal decision support system is used to evaluate the best employees. The company evaluates the performance of its employees to evaluate, motivate and verify employee performance improvements. The results of this performance can be used as a reference for superiors to carry out promotions, dismissals, transfers, and employee bonuses. The assessment in this study was carried out using five criteria, namely attendance, attitude/ethics, expertise, quantity, and quality, using the simple additive weighting (SAW) method. This study tested data from 50 respondents, and obtained 100% data accuracy from the test calculations, ie the large number of appropriate data divided by the large number of tested data multiplied by 100%.

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