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All Journal International Journal of Electrical and Computer Engineering JURNAL SISTEM INFORMASI BISNIS Proceedings of KNASTIK Techno.Com: Jurnal Teknologi Informasi Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics Jurnal Informatika SPEKTRUM INDUSTRI Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknik Elektro Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Teknologi Elektro Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Bulletin of Electrical Engineering and Informatics Edu Komputika Journal Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Informatika Jurnal Khatulistiwa Informatika Journal of Information Technology and Computer Science (JOINTECS) Jurnal Ilmiah FIFO INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT InComTech: Jurnal Telekomunikasi dan Komputer JURNAL REKAYASA TEKNOLOGI INFORMASI ILKOM Jurnal Ilmiah Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Digital Zone: Jurnal Teknologi Informasi dan Komunikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JUMANJI (Jurnal Masyarakat Informatika Unjani) Edumaspul: Jurnal Pendidikan RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Informatika : Jurnal Informatika, Manajemen dan Komputer Jurnal Ilmiah Mandala Education (JIME) Systemic: Information System and Informatics Journal EDUMATIC: Jurnal Pendidikan Informatika Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Buletin Ilmiah Sarjana Teknik Elektro Mobile and Forensics Journal of Robotics and Control (JRC) JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Edunesia : jurnal Ilmiah Pendidikan Jurnal Teknologi Informatika dan Komputer Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal of Robotics and Control Systems J-SAKTI (Jurnal Sains Komputer dan Informatika) Techno Jurnal Informatika: Jurnal Pengembangan IT
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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

Analisis Metode Forward Chaining Pada Sistem Pakar Diagnosa Penyakit Hewan Sapi Berbasis Android Fajar R. B Putra; Abdul Fadlil; Rusydi Umar
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 | Full PDF (789.827 KB) | DOI: 10.30645/j-sakti.v5i2.398

Abstract

In particular, Sorong Regency, West Papua, where the availability of veterinarians is still relatively low. The problems that occur in the regency make it difficult for experts to deal with a disease that occurs in livestock, especially cattle. This also makes it difficult for people to diagnose certain diseases experienced by their livestock, so that handling becomes slow and resulting in the risk of death for livestock. This research aims to create an application system to diagnose cattle disease base on android to make it easier for breeders to diagnose symptoms of a disease that occurs in their cattle (cow). The process carried out is by interviewing experts consisting of three paramedics, the results obtained are in the form of disease data, symptoms, and solutions which are used as data on the system. The data that has been analyzed using the Forward Chaining method results in an android-based expert system, help breeders’ difficulties in diagnosing cattle diseases. The results obtained are that the system created to produce a disease that is in accordance with the exiting symptoms. The system is very helpful for farmers in Sorong Regency, they hope that ini the future the system can be updated if there are new diseases or symptoms. The data provided by animal husbandry department and experts are very helpful in this research.`
Enterprise Architecture Planning Sistem Informasi Akademik Dengan TOGAF ADM Azhar Basir; Abdul Fadlil; Imam Riadi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 1 (2019): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.713 KB) | DOI: 10.30645/j-sakti.v3i1.91

Abstract

The role of information technology greatly influences the improvement of a higher education governance, so that universities today should have models and standards that can be implemented as a reference in enhancing harmony between business strategies and information technology. Enterprise Architecture planning (EAP) is one of the methodologies that can be applied in planning information architecture, the stages in EAP consist of data architecture, application architecture, technology architecture and how the design that has been made can be implemented to support business activities, to achieve the organization's mission.
Perancangan Aplikasi Text To Speech Untuk Informasi Gempa Bumi Joko Supriyanto; Abdul Fadlil; S Sunardi
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.v6i1.467

Abstract

Indonesia is one of the countries with the potential of large earthquakes because it is passed by three active plates, namely Indo-Australian, Eurasian, and Pacific. Earthquake information is currently still in text form, so the blind have difficulty getting earthquake information. It is needed to develop the earthquake information applications from text to sound. The source of earthquake information is taken from an XML file that has been provided by BMKG. The application development uses the Waterfall method. The testing uses a blackbox with the boundary value analysis. The results of this study is text to speech application for earthquake information. Application testing using blackbox with the boundary value analysis for six different scenarios were successfully 100% running well without any errors
Sistem Pemilihan Karyawan Terbaik Menggunakan Metode TOPSIS Musri Iskandar Nasution; Abdul Fadlil; S Sunardi
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.v4i2.219

Abstract

Merapi Online Corporation is a company located in Yogyakarta which is engaged in internet access services. Merapi Online Corporation gives rewards by selecting the best employees based on criteria as a provision of the company. This study designed a system to determine the best employee selection using a Decision Support System (DSS) with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method has the principle chosen because it has the shortest distance to positive ideal solution and the farthest distance from the negative ideal solution from a geometric point of view using Euclidean distance to determine the relative closeness of choice with the best solution. The stages of this research are the collection of employee and criteria data, then weighting the criteria and assessment, after that the calculation uses the TOPSIS method, and the final step is the analysis of the calculation results. The criteria used in this study are attendance, years of service, permission, and discipline. Research has been successfully carried out on a sample of four employees for ease in presenting the data. The results of this study obtained the preferences of each employee, which is then ranked. The biggest preference value is chosen to be the best employee.
Identifikasi Tulisan Tangan Huruf Katakana Jepang Dengan Metode Euclidean Imam Riadi; Abdul Fadlil; Putri Annisa
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i1.184

Abstract

Katakana is one of the traditional Japanese letters used to absorption words from other languanges. In the inttroduction of an object a learning process is needed, which is obtained through the characteristics and experience of observing similar objects after being acquired. But manually it is quite difficult to distinguish between 5 hiragana vowels starting from the image data acquisition process, image processing, feature extraction using Gray Level Co-occurance Matrix (GLCM) while classifiers use the euclidean distance method. The results of the tests carried out showed an accuracy rate of around 78% using the euclidean method.
Analisis Forensik Aplikasi Dropbox pada Android menggunakan Metode NIJ pada Kasus Penyembunyian Berkas Saleh Khalifah Saad; Rusydi Umar; Abdul Fadlil
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.v4i2.221

Abstract

Smartphones are a testament to the development of digital technology. At this time, the smartphone is also experiencing growth in storage media, one of which is the Cloud storage media. One cloud storage application is the Dropbox Application. The development of cloud storage media does not rule out the possibility of a negative impact on the use or can be used as a medium for crime, such as storing evidence of criminal transactions and cybercrime. This study uses conversation scenarios for application conditions, including data deletion in applications. Data for each experiment will be taken using the National Institute of Justice (NIJ) Method. The method used in dealing with crime with smartphone media evidence is the National Institute of Justice (NIJ) Method. The conclusion of this study is that the use of the National Institute of Justice (NIJ) method ranks the digital forensic stages, starting with identification, collection, examination, analysis, and reporting very well. This method is widely used in handling digital crime cases. The results of the acquisition will then be analyzed by translating the hex codes resulting from the acquisition to produce evidence that can be understood by the judge later.
Sistem Pengenalan Wajah pada Keamanan Ruangan Berbasis Convolutional Neural Network S Sunardi; Abdul Fadlil; Denis Prayogi
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.v6i2.480

Abstract

Face recognition is a biometric system that is widely applied in various fields especially in the security for identify and verify purposes. For every method of face recognition, they have a unique ways on the process with their advantages and disadvantages themselves. This study designs a face recognition system that is applied to a room security system using the Convolutional Neural Network (CNN). This method works by imitating the way nerve cells to communicate with interrelated neurons or rather mimics how artificial neural networks work in humans. The process of taking images as training data and the face recognition process using a webcam camera installed on a Raspberry pi-based device and python programming language with tensorflow library. Based on the results of research obtained using 875 data samples which were divided into 75% for training and 25% (or 219 data) for testing data produce predictions with 100% accuracy that means all data were successfully recognized.
Co-Authors Aang Anwarudin Abdullah Hanif Achmad Nugrahantoro Achmad Nugrahantoro Aditiya Dwi Candra Ahmat Taufik Ainin Maftukhah Aji, Sukma Alfiansyah Imanda Putra Alfiansyah Imanda Putra Alfian Anak Agung Ketut Sudharmawan Anggit Pamungkas Anton Yudhana Anwar Siswanto ANWAR, FAHMI Arief Setyo Nugroho Arief Setyo Nugroho Arif Budi Setianto Arif Budiman Arif Budiman Atmojo, Dimas Murtia Aulia, Aulia Az-Zahra, Rifqi Rahmatika Aznar Abdillah, Muhamad Bagus Primantoro Basir, Azhar Candra, Aditiya Dwi Darajat, Muhammad Nashiruddin Denis Prayogi Denis Prayogi Dhimas Dwiki Sanjaya Dian Permata Sari Dikky Praseptian M Dimas Murtia Atmojo Doddy Teguh Yuwono Dwi Susanto Dwi Susanto Edy Fathurrozaq Eko Prianto Eko Prianto Ermin Al Munawar Ermin Ermin Esthi Dyah Rikhiana Fahmi Anwar Fahmi Auliya Tsani Fahmi Auliya Tsani Fahmi Fachri Fajar R. B Putra Faqihuddin Al-anshori Faqihuddin Al-Anshori, Faqihuddin Farhah Kamilah Fathurrahman, Haris Imam Karim Fauzi Hermawan Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Yasin Fitrah Juliansyah Fitrah Fitri Muwardi Frandika Septa Gusrin, Muhaimin Gustina, Sapriani Hafizh, Muhammad Nasir Hendril Satrian Purnama Herman Ibnu Rifajar Ibrahim Mohd Alsofyani Ihyak Ulumuddin Ikhsan hidayat Ilhamsyah Muhammad Nurdin Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Izzan Julda D.E Purwadi Putra januari audrey Joko Supriyanto Joko Supriyanto Kartika Firdausy Lestari, Yuniarti Luh Putu Ratna Sundari M. Nasir Hafizh Mini, Ros Mohd Hatta Jopri Mudinillah, Adam Muh. Fadli Hasa Muhaimin Gusrin Muhamad Daffa Al Fitra Muhamad Rosidin Muhammad Johan Wahyudi Muhammad Nasir Hafizh Muhammad Nurdin, Ilhamsyah Muhammad Rizki Setyawan Murni Murni Musri Iskandar Nasution Mustofa Mustofa Muwardi, Fitri Novi Tristanti Novita Ranti Muntiari Novita Ranti Muntiari Nur Makkie Perdana Kusuma Ponco Sukaswanto Poni Wijayanti Putri Annisa Putri Annisa Putri Annisa Putri Purnamasari Ramadhani, Muhammad Rezki Ramdhani Rifqi Rahmatika Az-Zahra Rio Subandi Rizky Andhika Surya Roni Anggara Putra Rosad, Safiq Rusydi Umar Rusydi Umar Ryan Fitrian Pahlevi Saifudin Saifudin Saifullah, Shoffan Saleh khalifa saad Saleh Khalifah Saad Septa, Frandika Setyaputri, Khairina Eka Setyaputri, Khairina Eka Setyaputri, Khairina Eka Shinta Nur Desmia Sari Siti Helmiyah Siti Helmiyah Sukaswanto, Ponco Sukma Aji Sulis Triyanto Sunardi Sunardi Sunardi, Sunardi Surya Yeki Surya Yeki Syarifudin, Arma Tiara Widyakunthaningrum Tole Sutikno Tresna Yudha Prawira Tresna Yudha Prawira Tuswanto Tuswanto Winoto, Sakti Yana Mulyana Yasidah Nur Istiqomah Yeki, Surya Yossi Octavina Yu-Hao Lin Yuminah yuminah Yuminah, Yuminah Yuwono Fitri Widodo Zulhijayanto -