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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%.
Penerapan Teorema Bayes Dalam Mendiagnosa Gangguan Kepribadian Paranoid Dwiki Putri, Dini Ridha; Fahlevi, Muhammad Reza
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.v4i2.246

Abstract

Paranoid personality disorder is a condition of thought patterns and behavior that are unhealthy and different from normal people. Pervasive distrust or suspicion of other people and feel that other people are jealous of them, as a result people with this personality get limited association from their surroundings. The aim of this research is to diagnose patients with paranoid personality disorder more effectively and efficiently so that treatment can be done. The method used is Bayes' Theorem which can help analyze predetermined symptoms. The implementation of this research uses the PHP programming language and MySQL database. The level of accuracy in knowing the diagnosis on early symptoms is 84.11%, so it can be a recommendation to help psychologists diagnose paranoid personality disorders.
Teknik Keamanan File Teks Menggunakan Kriptografi Dengan Algoritma One Time Pad Cipher Fahlevi, Muhammad Reza; Dwiki Putri, Dini Ridha; Doni, Rahmad
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.v4i2.251

Abstract

Maintaining data that needs to be considered in system security is the authentication process. This process is carried out to ensure users who access data or information on the system are authorized users. There are several methods to authenticate, one of them using data encryption (cryptographic) techniques. Cryptography is applied to data or information by encoding or organizing the data needed only by those who have the key to which the data or information can be accessed. This research will implement the One Time Pad (OTP) algorithm to encode the data and information used. Data or information transferred in the application will form a ciphertext so that users will get a key to access the data or information. The making of this application is expected to guarantee the confidentiality and security of data properly, where the party that can access the original data or information is only the party that has the key.
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 | Full PDF (1396.679 KB) | 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%.
Penerapan Teorema Bayes Dalam Mendiagnosa Gangguan Kepribadian Paranoid Dwiki Putri, Dini Ridha; Fahlevi, Muhammad Reza
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.v4i2.246

Abstract

Paranoid personality disorder is a condition of thought patterns and behavior that are unhealthy and different from normal people. Pervasive distrust or suspicion of other people and feel that other people are jealous of them, as a result people with this personality get limited association from their surroundings. The aim of this research is to diagnose patients with paranoid personality disorder more effectively and efficiently so that treatment can be done. The method used is Bayes' Theorem which can help analyze predetermined symptoms. The implementation of this research uses the PHP programming language and MySQL database. The level of accuracy in knowing the diagnosis on early symptoms is 84.11%, so it can be a recommendation to help psychologists diagnose paranoid personality disorders.
Teknik Keamanan File Teks Menggunakan Kriptografi Dengan Algoritma One Time Pad Cipher Fahlevi, Muhammad Reza; Dwiki Putri, Dini Ridha; Doni, Rahmad
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.v4i2.251

Abstract

Maintaining data that needs to be considered in system security is the authentication process. This process is carried out to ensure users who access data or information on the system are authorized users. There are several methods to authenticate, one of them using data encryption (cryptographic) techniques. Cryptography is applied to data or information by encoding or organizing the data needed only by those who have the key to which the data or information can be accessed. This research will implement the One Time Pad (OTP) algorithm to encode the data and information used. Data or information transferred in the application will form a ciphertext so that users will get a key to access the data or information. The making of this application is expected to guarantee the confidentiality and security of data properly, where the party that can access the original data or information is only the party that has the key.
Rancangan Inovasi Layanan Kesehatan Gigi dan Mulut: Integrasi Sistem Berbasis Web dengan Telemedicine untuk Meningkatkan Aksesibilitas Sadikin, Muhammad; Syamanta, Arbana; Dwiki Putri, Dini Ridha; Dewi, Rofiqoh; Setiawan, Adil
Publikasi Pengabdian Masyarakat Vol 4 No 2 (2024): PUBLIDIMAS Vol. 4 No. 2 NOVEMBER 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v4i2.399

Abstract

Oral health is an important component of general health that is often neglected in society. In Indonesia, many individuals experience oral health problems due to lack of access to quality health services. This is especially true in underserved areas, where people face various obstacles, such as distance, cost, and lack of information about available health services. In this PkM, researchers studied the development and implementation of a web-based oral health service system with telemedicine support to improve the accessibility and effectiveness of dental health services. Through user needs analysis and evaluation of the system prototype, the results showed that this platform allows patients to register, schedule consultations, and access dental health information online with a high level of satisfaction. Online consultations proved effective in providing accurate diagnoses, while the educational materials provided contributed to increased awareness of dental health. The results of this PkM confirm that the implementation of telemedicine in dental health services not only improves accessibility but also the quality of services, and contributes to the development of digital health systems in the future
Deteksi Dini Depresi Mahasiswa Tingkat Akhir Menggunakan Algoritma Naïve Bayes dan Instrumen PHQ-9 Sadikin, Muhammad; Dwiki Putri, Dini Ridha; Amanda, Azrifirizky
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.8162

Abstract

This study aims to analyze the performance of the Naïve Bayes algorithm in an early detection system for depression levels among final-year university students using the PHQ-9 instrument. The classification is conducted in a multi-category manner, grouping respondents into normal, mild depression, moderate depression, and severe depression categories based on the results of the PHQ-9 questionnaire. The main issues addressed in this research are the low awareness of depression symptoms and the need for a screening tool that is fast, lightweight, and accessible. Involving 188 respondents, data were collected through the PHQ-9 questionnaire and subsequently processed using the Naïve Bayes method. Model evaluation was performed using a confusion matrix and 10-fold cross-validation, resulting in an accuracy of 87.23%, a weighted average precision of 87.54%, and a weighted average recall of 87.25%. These findings demonstrate that Naïve Bayes can classify depression levels with high and stable accuracy, particularly in the moderate and severe depression categories. This study recommends the use of the Naïve Bayes algorithm as the basis for developing a web-based screening system that can be utilized by higher education institutions as a self-assessment and systematic early detection tool for depression disorders.