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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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Sistem Persediaan Obat Menggunakan Metode Moving Average Dan Fixed Time Period With Safety Stock Nurkholis, Andi; Oktora, Putri Suci
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.v6i2.522

Abstract

The Rahman Pharmacy business process is currently still running manually, namely recording the name, number, and price of the medicine purchased from the supplier into a piece of paper and then calculating using a calculator based on the purchase. In the business process, there are still errors when recapitulating daily transactions caused by paper notes is lost. So far, Apotek Rahman often runs out of merchandise, which can disappoint buyers. Another problem faced by Apotek Rahman is that medicine can accumulate. It can be detrimental because they have not implemented an inventory control system. This study aims to develop a website-based inventory information system to help Rahman Pharmacy manage computerized medicine data so that the work of managing incoming medicine, outgoing medicine, and the process of updating stock items becomes more effective. To produce medicine inventory recommendations, the moving average and fixed time period with safety stock methods are used. Each interested user can easily access every report on the purchase and sale of medicine. The system will provide updated stock information to consider when ordering medicines. In addition, the system can also provide recommendations for the procurement process so that it can be known when to order medicine based on the safety stock method, how many items are ordered, and provide the cost of inventory every time an item is purchased.
Klasifikasi Opini Pengguna Media Sosial Twitter Terhadap JNT Di Indonesia dengan Algoritma Decision Tree Handoko, Widiyanto Tri; Supriyanto, Edy; Purwadi, Dimas Indra; Budiarso, Zuly; Listiyono, Hersatoto
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.v6i2.490

Abstract

JNT Ekspress is one of the many freight forwarding companies that exist today, where JNT has very wide access so it is very easy to use for the public in shipping goods. With the current network, JNT is able to deliver goods to all provinces in Indonesia. With the large number of users, of course there will be a lot of user opinions that appear, both positive and negative opinions. In order to be able to categorize multiple opinions, a machine learning program is needed that can simplify the process of grouping the opinion. There are many algorithms that can be used to classify opinions, one of them is Decision Tree. Prior to grouping or classification, Tweet data that has been collected needs to be preprocessed first so that the tweet data can be recognized by the system. Based on this research, the Decision Tree algorithm gets an accuracy of 94.12% with a comparison ratio of training data and testing data of 90:10
Implementasi Neural Network Multilayer Perceptron Dan Stemming Nazief & Adriani Pada Chatbot Faq Prakerja Padhilah, Muhammad; Muliadi, M; Kartini, Dwi; Nugrahadi, Dodon Turianto
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.v6i2.481

Abstract

The Prakerja Card Program is a job skills development and entrepreneurship program for job seekers. The Prakerja Card Program has a list of frequently asked questions or called Frequently Asked Questions (FAQ), because FAQ is still a list of questions that approach what the user typed, and users should look to find out which questions match the questions. Therefore, it takes a way to respond directly to users, namely with a chatbot. Chatbot is a conversational modeling program that uses human natural language to simulate interactive conversations between machines and humans. The chatbot interprets messages from the user, processes the user's words, determines what the chatbot needs to do based on the user's instructions, executes them, and finally informs the user of the conclusions. This research used Neural Network Multilayer Perceptron algorithm and Nazief & Adriani stemming in creating a chatbot with the data used is FAQ data on the Prakerja website. The purpose of this study is to find out the great performance accuracy of chatbot responses produced by Neural Network Multilayer Perceptron and Nazief & Adriani on Prakerja FAQ chatbots. The results showed that the chatbot could answer 72 questions with a difference of 100 questions asked by respondents
Implementasi Sistem Load Balance dengan Metode PCC Untuk Optimalisasi Pada Jaringan Internet Local Sujatmika, Arif Rahman; Abidin, Ahmad Anas; Winarti, W
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.v6i2.513

Abstract

The need for the internet at this time is very high and is no longer the beginning to be used, even the internet has become a mandatory thing for humans to support various needs such as looking for information, knowledge articles, learning media and looking for vacations, based on the need for internet can causing connection traffic on the internet and the load on the server will also increase and to overcome very slow internet performance it is necessary to use more than one ISP on this system the method used to combine two or more lene ISP requires configuration of the PCC method (Per Connection Classifier) this method it is very helpful to overcome slow connections to provide the conclusion of the PCC (Per Connection Classifier) method with the results of the 192Mbps throughput measurement in the very good category, the 1% packet loss results in the very good category, from the 30ms delay measurement results in the very good category and from gauge an 1ms jitter is in the very good category.
Penerapan Kombinasi Metode ROC Dan MAUT Dalam Penentuan Calon Penerima Bantuan UKT Pada Universitas Budi Darma Rajagukguk, Jumpa Dorisman; Mesran, M; Purba, Bister
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.v6i2.473

Abstract

During the 2019 Coronavirus Diseases pandemic, many people were affected socially and economically, especially parents of students. Therefore, the government through universities provides a solution to help the economy, one of which is through the Single Tuition Assistance (UKT) program. In making the decision to determine the prospective recipient of UKT Assistance, the university is still constrained by time because there is quite a lot of data that must be processed or selected manually and of course, must meet several criteria that have been set by the university. In order to assist universities in making decisions to determine prospective recipients of UKT Assistance, a decision support system is needed. The Rank Order Centroid (ROC) and MAUT (Multi-Attribute Utility Theory) methods are a combination of methods that support determining the priority criteria for prospective UKT Assistance recipients. In determining the candidates who are eligible to receive UKT Assistance according to the formula and method used, in order to obtain the highest value alternative that is entitled to receive the UKT Assistance. The results of the application of the combination of the two methods so as to obtain the highest 25 alternative values of the 30 alternatives as a calculation sample with the first rank alternative value of 0.707.
Information Security Risk Analysis of State-Owned Bank Information Technology (IT) Assets Using the Octave Allegro Method Tasya, Muhammad Azel; Suwawi, Dawam Dwi Jatmiko; Utomo, Rio Guntur
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.v6i2.504

Abstract

Utilization of Information Technology (IT) in companies today is an important element to support the effectiveness & efficiency of business processes. This research set PT ABC as a case study place. In utilizing its IT assets, the company has a division that is responsible for managing and managing the company's IT assets, namely the IT Asset division. The IT Asset Division of the Company has never conducted a security risk analysis on its IT assets. In helping companies to determine the level of information security of their IT assets, an analysis of the information security risks of these assets will be carried out. This study uses the OCTAVE Allegro method in analyzing the company's IT assets. OCTAVE Allegro consists of eight stages and is grouped into four phases. The research resulted in 5 risks from 7 IT assets which were analyzed and made into a Risk Register document. Furthermore, the researcher recommends ISO 27002:2014 control of the IT asset risk as a mitigation measure
Implementasi Metode Preference Selection Index Dalam Penentuan Jaringan Dan Pemanfaatan Internet Pada Provinsi Indonesia Dewantara, Rizki; Cakranegara, Pandu Adi; Wahidin, Ahmad Jurnaidi; Muditomo, Arianto; Sudipa, I Gede Iwan
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.v6i2.527

Abstract

The era of digital society is strongly supported by the development of information and communication technology, along with the use of the internet by the community, making the digital era help every community activity. The progress of internet development in Indonesia cannot be separated from the distribution of network infrastructure in all urban (urban) and rural (rural) areas in all provinces in Indonesia. Based on data from the Central Statistics Agency (BPS) for the period 2017 - 2020, this study aims to determine which of the 34 provinces in Indonesia are provinces that have a strong and stable internet network in urban and rural areas, as well as regions in Indonesia whose people are significantly utilizing the use of the internet in their daily activities in both urban and rural areas. The selection process uses eight assessment criteria from aspects of the expansion and distribution of internet network quality and internet utilization for rural and urban communities in the province of Indonesia. In this study, the method of solving the problem of multi-criteria decision-making is the Preference Selection Index (PSI) method. The results of the final calculation of the PSI method from 34 alternatives determine the five best provinces for expanding the internet network and internet utilization in 2020, namely the alternative provinces of Central Java, West Java, East Java, South Sumatra, and Aceh.
Covid-19 Prediction Using Lightgbm and LSTM Dharayani, Ramanti; Hasmawati, H; Khotijah, Siti
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.v6i2.495

Abstract

Covid-19 has become a global health problem during this pandemic. Every country is struggling to fight this problem as well as Indonesia. Indonesia has a high number of new cases and this has an impact on the high demand for bed occupancy rates. To overcome this situation, we recommend the prediction of covid-19 using LGBM and LSTM. We implement two pre-processing, namely one-hot data encode and Normalization. The results of the pre-processing will be used as input for the prediction of new cases of COVID-19 using the LGBM and LSTM algorithms. The experimental results show that LSTM has better results than LGBM. We evaluated that the number of epochs we used in the LSTM had a large influence on the RMSE, MAE, and R2 measurements
ARIOT: Permainan Edukasi Pertanian Cerdas Sebagai Upaya Menumbuhkan Agro-Entrepreneurship Pada Siswa Penyandang Disabilitas Tuna Rungu Kurniasari, Arvita Agus; Puspitasari, Trismayanti Dwi; Kurniasari, Leli
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.v6i2.518

Abstract

Sekolah Luar  Biasa  (SLB)  are education for students who have difficulty in participating in the learning process because they have special physical, emotional, mental and social needs, but have the potential for intelligence and special talents. SLB Negeri Jember also faces problems in the educational process, one of which is deaf students who experience barriers and disturbances in verbal communication both expressively and receptively. This resulted in the message being conveyed and received a lot of misunderstanding of meaning. Online learning activities during the Covid-19 pandemic at SLB cannot be fully carried out online due to the limitations of students. The activity plans and solutions provided for the service are using the Android-based Augmented Reality (AR) game learning method. Making this method begins with the design sprint stage to communicate with the relevant team, namely psychologists and teachers, followed by AR programming and ends with validation so that the application has been tested for students with special needs. The results of the implementation to determine the level of acceptance of the use of the application is obtained a percentage value of 80%. Suggestions for the next development are the implementation of direct tools for IoT so that students gain new knowledge about sensor implementation
Implementasi Super Enkripsi Menggunakan Metode Rail Fence Cipher dan Metode Caesar Cipher Pada Data Pasien Klinik Eka Karigas Fernando, Fery; Pakereng, Magdalena A. Ineke
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.v6i2.486

Abstract

Data security is considered very important in nowadays information technology era to minimize data theft. To achieve data security, an encoding process for the data is needed. The encryption process can use a super encryption scheme by combining two or more cryptographic techniques to provide double security. In this research intend to implement the Rail Fence Cipher and Caesar Cipher cryptographic algorithms by using a super encryption scheme on patient data at the Eka Karigas Clinic. The combination of these two cryptographic algorithms is able to provide security by using encryption techniques on patient data at the Eka Karigas Clinic and returning it using a decryption technique to its original form so as not to cause data integrity loss.

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