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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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Implementasi Steganografi Menggunakan Metode Spread Spectrum Dalam Pengamanan Data Teks Pada Citra Digital Nasution, Yusuf Ramadhan; Furqan, Mhd.; Sinaga, Meri
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.226

Abstract

Various techniques are used to protect digital information, especially information that is kept secret from people who are not entitled to the right of access to information, one of which is the technique of steganography. Steganography technique is a technique used to secure data by inserting or hiding data into an object without changing the shape of the object; one of the objects is a digital image. The steganography technique also has several methods, namely the Spread Spectrum method. Spread Spectrum is a method of communication where information signals are spread across all available frequencies by selecting where to insert data at low frequencies and adding pseudo-noise (PN). This study secures text data with the Spread Spectrum steganography technique on digital image objects by the steps of changing the value of the RGB pixel image and text data into binary, spreading the text data, followed by key generation and the modulation process of spreading text data with the generated key results. To produce a stegano image with an RGB pixel value that changes the value of 0 to 1 value that does not affect the color reproduction of the RGB pixel image.
Pemilihan Lokasi Strategis Bisnis Bidang Kuliner Menggunakan Metode the Extended Promethee II Lestari, Sri Poedji; Sudarsono, Bernadus Gunawan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.310

Abstract

Business in the culinary field is one type of business that will not die and be eroded by the times because as long as humans still need food, culinary business is the right business choice with large profits, but in a business in the culinary field there are still very many the business died because of several factors that were previously ignored by many groups such as non-strategic location, business location to market a product that is not strategic can cause 40% of failures in the culinary business will lead to bankruptcy. This is very unfortunate if from the start it was not anticipated by taking into account what criteria were appropriate in selecting locations in selecting locations not only based on rumors that the area was good for building a business in the culinary field, especially for a culinary company in opening new branches. A business can use a decision support system in analyzing and calculating the level of accuracy in selecting the desired location with the help of the Promethee II (Exprom II) extended method approach which is able to assess the criteria in building a culinary business appropriately and effectively.
Aplikasi Penerapan TOPSIS Dalam Menentukan Kualitas Bibit Jambu Madu Fahlevi, Muhammad Reza; Dwiki Putri, Dini Ridha
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.249

Abstract

Honey guava is guava that has an extraordinarily sweet taste. The level of sweetness of honey guava can beat the sweetness of apples and other fruits. Quality seeds are the main thing to get planting that can provide optimal results. Quality seeds come from pure varieties, free from pests, diseases, and treatments suitable for this type of honey guava. This application can help farmers to obtain information on determining the best quality of honey guava seeds by applying the TOPSIS method and can be better selected based on the specified criteria. The application of the TOPSIS method uses the PHP programming language and MySQL database, which states that the best alternative is the alternative that has the shortest distance from the positive ideal solution and the farthest distance from the negative ideal solution, so the best alternative is the alternative that has the largest percentage, namely Green Deli guava. With a value of 77.97%.
Analisa Interaksi Pelanggan dengan Konsep Social Network Analysis untuk Mengetahui Persepsi Positif dan Negatif berdasarkan Komentar pada Media Sosial Instagram Ristantya, Amalia; Okiyani, Vivi; Triyandah, Ellana; Febrianti, Friska; Aninditha, Salshabilla; Kamalliah, Siti
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.217

Abstract

Telkomsel is one of the largest cellular telecommunications service providers in Indonesia. This analysis uses the Text Mining method and Social Network Analyst (SNA) method to be effective in determining the perception of complaints and excess customers against Telkomsel providers, so the company can improve quality, resolve customer complaints, and Increase Brand Awareness. Based on the results of the analysis there are perceptions of complaints and excess regarding Telkomsel service and facility providers that need to be improved again.
Analisis Pemilihan Supplier Pada Pengadaan Suku Cadang dengan Metode Analytic Hierarchy Process Naufal, Mohammad Farid; Putra, Putu Aditya Riva; Kusuma, Selvia Ferdiana
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.328

Abstract

PT. Bali Age is a company which engaged in freight forwarding service. Because of this, the company is using the trucks for carry out of their operational activities. Every truck always gets a routine maintenance at their garage, so they must provide the spare parts stock by themselves. The currently procurement of spare parts are still based on paper. By implementing the decision support in a new procurement system, it can provide a supplier recommendation for this company. This supplier recommendation which provides by system, are getting from the result of the comparation value from criteria priority calculation, using AHP method. The AHP method that implemented in this system, can also provide the final result of supplier recommendation comparison value with accurately.
Pemilihan Kriteria Penerima Vaksin Dengan Metode TOPSIS Sefrika, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.301

Abstract

The Covid19 pandemic which has been taking place since the beginning of 2020 has paralyzed part of the people's economic life. As a result, many countries have implemented massive social restrictions. One of the solutions provided by the government is by administering vaccines to the Indonesian people. This vaccine is expected to be one of the solutions to prevent the transmission of the Covid19 virus and prevent the risk of spreading Covid19. This research aims to conduct further study of vaccine recipients based on the urgency according to the priority scale by considering the aspects that have been determined by the COVID-19 handling task force. This research uses the TOPSIS method. TOPSIS is a multi-criteria decision-making method based on the concept that the best alternative not only has the shortest distance from the positive ideal solution but also the longest distance from the negative ideal solution. The research resulted in data that the community who should be the priority for the next vaccine recipient is the economy actor society (C2). Furthermore, the values of the two vulnerable communities in social, economic and social aspects and finally public officers (C3). The research resulted in data that the people who should be the priority for the next vaccine recipients are the people who are economic actors (C2).
Sistem Pendukung Keputusan Perekrutan Karyawan Online Untuk Penerimaan Karyawan Dengan Metode MOORA Fatmawati, F; Handayanna, Frisma; Purnamasari, Indah
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.240

Abstract

One company that always gets a lot of prospective employees is PT. Fullmoon Jaya Abadi is engaged in the wholesale trade of special CCTV material. At PT. Fullmoon Jaya Abadi data obtained from the employee recruitment process still use manual methods, so the HRD (Human Resource Development) division must sort and select applicants one by one. A large number of candidates make the HRD division often have difficulty in choosing prospective employees, and subjectivity occurs when they want to decide so that the company accepts employees who do not fit the criteria set by the company. To overcome the problem of making decisions on employee acceptance at PT. Jaya Fullmoon Abadi is using the Multi-Objective Optimization method based on ratio analysis (MOORA). In research data collected based on the position of prospective employees. The results obtained in this study determine each position to receive as many as three prospective employees, namely Arianto Wibowo, Deny Saputra, and Irdha Febriani Awaliyah Ibrahim in the Sales position. Ilham Akbar N.S, Johan Salim, and Alfi Muhayyar in the Graphic Design position. Agustin Sulistyani, Sri Mulyani, and Serli Damayanti in the Accounting Staff position. Hendri Tanu, Adinda Helena, and Wajum Rodi in the IT Support position. Hartopo and Taufik Hidayat in the position of Sales Project.
Aplikasi Survey Kepuasan Pasien Terhadap Pelayanan Perawat Berbasis Mobile Efendi, Yoyon; Swastikarini, Sunarti; Muzawi, Rometdo; Rizki, Alfi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.231

Abstract

RSD Madani is one of the referral hospitals owned by the Pekanbaru City Government. One form of public service is quality hospital services according to professional standards and service standards, which are the expectations of all hospital service users. However, the number of patient participation in filling out the questionnaire was still low compared to the number of patient visits. Not yet optimal survey on the implementation of patient satisfaction towards nursing services. This application displays five patient satisfaction survey questions and favorite nurses. This mobile application is connected to the google form and google sheet. The satisfaction survey shows emotional icons with five levels, such as very satisfied, moderately satisfied, less satisfied, and dissatisfied. The selection of favorite nurses was followed by 12 nurses in the inpatient unit. It is necessary to make a patient satisfaction survey application for mobile-based nursing services, especially in the inpatient unit of RSD Madani Pekanbaru. This application is used as a means of evaluation in assessing the performance of nurses in the hospital.
Pengidentifikasian Citra Ikan Berformalin Dengan Menggunakan Metode Multilayer Perceptron Wanti, Eka Pirdia; Muhathir, M
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.342

Abstract

The richness of Indonesia's natural resources in the marine area, makes the sea an ecosystem of the existing diversity of fish. Fish is one of the types of animal protein that can be consumed by humans. Fish also contains essential vitamins and amino acids needed by the body with a biological value of up to 90% with binding tissue that makes it easier for the body to digest them. With the large number of fish that fishermen get per day, fish traders also have to make the fish they sell durable, one of which is by preserving fish with formaldehyde. Formlain is also a dangerous substance if used for food, this is because this substance can cause death if consumed long term. So that the existing problems encourage the author to identify formalin fish images using the MLP (Multilayer Perceptron) method which is a fairly reliable method in the image detection process because the search process is very directional (paying attention to backpropagation) where the feature extraction used is GLCM ( Gray Level Co-Occurrence Matrix). From this study, it was found that the Accuracy value was 62%. Where the error rate is 50%. Recall is 85%, application is 39%, precisson is 58% and F1 score is 71%.
Deteksi Indikasi Kelelahan Menggunakan Deep Learning Fudholi, Dhomas Hatta; Nayoan, Royan Abida N; Suyuti, Maghfirah; Rahmadi, Ridho
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.292

Abstract

Many students experience fatigue due to lack of sleep which can be caused by a psychological conditions or bad habits. Lack of sleep can affect student’s performance academically and causes many illnesses, stress and depression. Students with fatigue causes students to not study well, increasing risk of academic failure and will lead to having low GPA. In this research, fatigue detection is carried out to find out which students are experiencing fatigue. In this study, an annotated video dataset was used with a total of 18 subjects acted drowsy and alert. Fatigue detection is based on mouth movements, therefore mouth annotation is used. Mouth annotation has 2 categories, namely annotation 0 which indicates a closed mouth and annotation 1 which indicates the mouth is yawning. Previous study proves ResNet50 has better performance than other pre-trained models such as AlexNet, Clarifia, VGG-16, and GoogLeNet-19. We also applied image augmentation which is useful for providing new image variations to the model in each epoch by changing the rotation, random shift, and random zoom. ResNet50 model is used to perform binary classification which has two outputs, namely mouth stillness and yawning. The results of the frame classification are evaluated using precision, recall and f1-score. By using ResNet model, the results of the classification of frames labeled 0 or mouth stillness, obtained a precision of 0.72, a recall of 0.88, and an f1-score of 0.79. Meanwhile, the frame classification labeled 1 or yawning has a precision value of 0.85, a recall of 0.65, and an f1-score of 0.74.

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