J-SAKTI (Jurnal Sains Komputer dan Informatika)
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.
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<![CDATA[Implementasi Metode AHP TOPSIS pada Pemilihan Santri Berprestasi ]]>
<![CDATA[Sahrul Adi Amanatulloh]]>;
<![CDATA[R. Soelistijadi]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v6i2.485
<![CDATA[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.]]>
<![CDATA[Analisis Minat Penggunaan Fitur Permohonan Layanan Pln Pada Aplikasi New PLN Mobile Dengan Menggunakan Metode TAM 3 ]]>
<![CDATA[Latif Prasetyohadi]]>;
<![CDATA[Erma Suryani]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v6i2.517
<![CDATA[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.]]>
<![CDATA[Algoritma Genetika Untuk Perancangan Aplikasi Penjadwalan Mata Pelajaran ]]>
<![CDATA[Mhd Furqan]]>;
<![CDATA[A Armansyah]]>;
<![CDATA[Rizki Ananda]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v6i2.476
<![CDATA[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.]]>
<![CDATA[Penerapan Metode SAW Pada Rekomendasi Pemilihan Jenis Jamur Untuk Budidaya Dan Konsumsi ]]>
<![CDATA[Muhammad Nurrohim]]>;
<![CDATA[Endang Lestariningsih]]>;
<![CDATA[Eddy Nurraharjo]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v6i2.508
<![CDATA[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]]>
<![CDATA[Rancang Bangun Alat Praktek Simulasi Monotoring Keseimbangan Beban Listrik 3 Fasa Berbasis Iot ]]>
<![CDATA[Deitje Pongoh]]>;
<![CDATA[Marson Budiman]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v6i2.531
<![CDATA[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]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Calon Penerima Program Indonesia Pintar Dengan Metode Fuzzy TOPSIS ]]>
<![CDATA[Regina Ainaya]]>;
<![CDATA[Dudih Gustian]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v6i2.499
<![CDATA[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]]>
<![CDATA[Sistem Persediaan Obat Menggunakan Metode Moving Average Dan Fixed Time Period With Safety Stock ]]>
<![CDATA[Andi Nurkholis]]>;
<![CDATA[Putri Suci Oktora]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v6i2.522
<![CDATA[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.]]>
<![CDATA[Klasifikasi Opini Pengguna Media Sosial Twitter Terhadap JNT Di Indonesia dengan Algoritma Decision Tree ]]>
<![CDATA[Widiyanto Tri Handoko]]>;
<![CDATA[Edy Supriyanto]]>;
<![CDATA[Dimas Indra Purwadi]]>;
<![CDATA[Zuly Budiarso]]>;
<![CDATA[Hersatoto Listiyono]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v6i2.490
<![CDATA[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]]>
<![CDATA[Implementasi Neural Network Multilayer Perceptron Dan Stemming Nazief & Adriani Pada Chatbot Faq Prakerja ]]>
<![CDATA[Muhammad Padhilah]]>;
<![CDATA[M Muliadi]]>;
<![CDATA[Dwi Kartini]]>;
<![CDATA[Dodon Turianto Nugrahadi]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v6i2.481
<![CDATA[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]]>
<![CDATA[Implementasi Sistem Load Balance dengan Metode PCC Untuk Optimalisasi Pada Jaringan Internet Local ]]>
<![CDATA[Arif Rahman Sujatmika]]>;
<![CDATA[Ahmad Anas Abidin]]>;
<![CDATA[W Winarti]]>
<![CDATA[ J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/j-sakti.v6i2.513
<![CDATA[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.]]>
