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All Journal Seminar Nasional Informatika (SEMNASIF) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat Abdi Nusa
Gustian, Dudih
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Public Health Other

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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

 1 
Analisis Sentiment Masyarakat terhadap Kasus Covid-19 pada Media Sosial Youtube dengan Metode Naive bayes Ahmadi, Muhammad Iqbal; Gustian, Dudih; Sembiring, Falentino
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.v5i2.378

Abstract

The development of Covid-19 cases in Indonesia continues to increase. with the continued increase in these cases causing panic among the public regarding the presence or absence of this corona virus, in the midst of this condition an effective and efficient communication pattern is needed in providing education and information about this corona virus, for example with social media Youtube. Many people's responses to this news are expressed in the comments column. Therefore, a sentiment analysis model is needed to classify public comments into Positive, Negative and neutral. In this study, the Naive bayes method is used to build a sentiment analysis model for public responses about the news on the development of the Covid-19 case on the Youtube page, precisely on the KompasTV Chanel. Accuracy is 74% with the number of comments Positive 361, Negative 800 and neutral 490.
Analisis Pemilihan Supplier dengan Pendekatan Analytical Hierarchy Process di PT. ABC Agraeni, Rosalia; Gustian, Dudih
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.v6i1.450

Abstract

Suppliers are one of the most important parts of a company. For maximum production results, the company also needs suppliers with the best quality. Therefore, companies need a decision support system that can assist in accurate supplier selection based on specified criteria. This supplier selection process uses the Analytic Hierarchy Process (AHP) approach, which is usually a method of ranking decision alternatives and selecting the best option from a number of criteria. The criteria for selecting this supplier are quality, delivery, service and suitability of goods
Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Berbasis Web dengan Metode Simple Additive Weighting Sholihat, Anisa; 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.v6i2.498

Abstract

In educational institutions, in determining the order in which students who excel are generally selected only based on their final grades, the same is true in the Dwi Warna Vocational School. The ranking of students who excel at SMK Dwi Warna Sukabumi is only determined based on the value of the final report which ranks 1 to 5 only. In the process of selecting outstanding students there is an opportunity to make decisions that are not on target because the selection process for outstanding students is only based on one aspect of assessment, namely the value in the student's final report, meanwhile additional values such as attitude and achievement values that have been obtained are not from within. The school is not used as an assessment material and is also not used as a criterion in determining the order of students who excel. From this description, it is possible that the selected outstanding student does not meet the desired standard. Therefore, it takes a decision support system in the form of a website to make it easier and faster for the selection of outstanding students, with several methods that can be used and the Simple Addive Weighting (SAW) method by giving weighting to each of the criteria used. The system created is by using the PHP programming language. The system created is expected to be able to speed up the decision-making process in determining outstanding students
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
Analisis Sentimen Dampak Covid-19 Terhadap Pembatalan Keberangkatan Ibadah Haji Pada Tahun 2020 Kartika, Mila; Saepudin, Sudin; Gustian, Dudih
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.v5i2.392

Abstract

The government through the Ministry of Religious Affairs canceled the departure of pilgrims from Indonesia in 2020. The decision was taken, considering the Covid-19 pandemic still plagues almost all parts of the world, including Indonesia and Saudi Arabia. "Saudi Arabia has never opened access for pilgrims from any country. As a result, the government could no longer have enough time to make its main preparations in the service and protection of Jemaah. Based on this fact, the government decided not to send pilgrims in 2020. Judging from the charts and data recorded from April to December 2020 there was a sharp increase. There were 743,198 confirmed cases of infection, 109,963 cases treated, 22,138 cases died and 611,091 were declared cured. This is a consideration of the government in taking the decision to lower the letter of cancellation of hajj departure in 2020. To retrieve this sentiment data the author took the data methodology from Twitter by using the data retrieval step using orange anaconda tools with the amount of data obtained as many as 670 tweets that have 3 variables that are positive by 37%, negative 12% and neutral 51%. To analyze sentiment data from Twitter the author used 3 classification methods and produced an accuracy value of KnN of 0.507, Random forest of 0.531 and Naïve bayes of 0.532. Based on the results of the analysis conducted by the author that the response or comments of the public to the delay / cancellation of the hajj departure was reaped a neutral response and support the government's move. Of the 3 methods used, the most superior method is the Naïve bayes method because it uses probability and statistics.
Sistem Penunjang Keputusan Penerapan Metode Topsis Pada Peningkatan Kinerja Karyawan Alfaudzan, Adriansyah Muhamad; Gustian, Dudih
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.v6i1.461

Abstract

In determining the success of the company's work is influenced by human resource management (HR), one of the strategies in improving the quality of human resources work is to appreciate employee performance. The method used in determining this promotion is the topsis method, it is hoped that the assessment will be more precise because it is based on predetermined criteria and weights so that it will get more accurate results. For this reason, researchers try to help the problems mentioned above by developing a decision support system using the application of the TOPSIS method for this system. In this study we will know which employee performance is more accurate according to the company's determination, the results are in accordance with this study there are 5 candidates, 3 candidates who have high scores were selected, namely the first rank in the highest employee performance, the 1st is p1 with a preference value of 0.568796348, the second p2 with a preference value of 0.568579031, and the third rank p3 with the same preference value as p2.
Co-Authors Agraeni, Rosalia Ahmadi, Muhammad Iqbal Ainaya, Regina Alfaudzan, Adriansyah Muhamad Anak Agung Gede Sugianthara Dzikril, Tubagus falentino sembiring Faturrohman Al-Ghozi Goni, Muhammad Wildan Kartika, Mila LESTARI, BUNGA Marina Artiyasa Nursyi’ah, Sitiyana Rival Maulana Saepudin, Sudin Sholihat, Anisa Sri Rejeki, Nada Suratno, Erip Yudi Nata