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INDONESIA
Jurnal Teknoinfo
Published by Universitas Teknokrat Indonesia
ISSN : 16930010     EISSN : 2615224X     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Teknoinfo is a peer-reviewed scientific Open Access journal that published by Universitas Teknokrat Indonesia. This Journal is built with the aim to expand and create innovation concepts, theories, paradigms, perspectives and methodologies in the sciences of Informatics Engineering. The articles published in this journal can be the result of conceptual thinking, ideas, innovation, creativity, best practices, book review and research results that have been done. Jurnal Teknoinfo publishes scientific articles twice a year in January and July.
Arjuna Subject : -
Articles 270 Documents
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KLASIFIKASI CITRA MOTIF BATIK BANYUWANGI MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Lutfi Hakim; Hadi Rizaldi Rahmanto; Sepyan Purnama Kristanto; Dianni Yusuf
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2342

Abstract

Kain Batik merupakan salah satu warisan kebudayaan Indonesia yang sangat berharga dan telah diakui oleh UNESCO sebagai salah satu warisan dunia. Banyak masyarakat Indonesia yang belum mengetahui motif batik setiap daerah. Banyuwangi sendiri memiliki lebih dari 10 motif batik, diantara motif batik Banyuwangi yang paling terkenal adalah motif Gajah Oling. Sistem klasifikasi motif batik Banyuwangi merupakan sebuah sistem yang dibangun dengan menggunakan library Pytorch dengan Bahasa pemrograman Python. Sistem ini dapat mengenali 7 macam motif batik Banyuwangi yaitu diantaranya Gajah Oling, Gedegan, Kopi Pecah, Moto Pitik, Beras Kutah, Paras Gempal dan Sisikan. Sistem ini menggunakan metode Convolutional Neural Network (CNN) dan untuk evaluasi digunakan metode confusion matrix untuk mengukur nilai akurasi. Penelitian menggunakan model CNN dengan arsitektur yang diberi nama MyCustomModel. Data yang digunakan pada penelitian ini sebanyak 120 citra untuk masing masing motif batik dan hasil prediksi mendapatkan nilai akurasi sebesar 63%.
SYSTEMATIC REVIEW: PERKEMBANGAN MACHINE LEARNING PADA SPERMA MANUSIA Aristoteles Aristoteles; Admi Syarif; Favorisen R Lumbanraja
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2078

Abstract

Reproduksi merupakan proses dimana organisme memperbanyak diri yang tujuannya adalah mempertahankan kelangsungan hidup spesiesnya. Penelitian ini bertujuan untuk mengetahui perkembangan reproduksi pada manusia. Studi ini merupakan penyusunan studi literatur yang dilakukan dengan penelusuran di Google dan Google Scholar yang menggunakan kata kunci Sperma, Fertilisasi dan Reproduksi Manusia. Dari hasil penelusuran dan pemahaman jurnal didapatkan artikel yang masuk kedalam kriteria inklusi, bahwa semakin meningkat kemajuan tentang penelitian yang mengaitkan dengan kata kunci fertilisasi, sperma dan juga reproduksi manusia. Terdapat juga faktor-faktor yang bisa mempengaruhi tingkat kesuburan, serta terdapat pula aplikasi yang dapat mendeteksi tingkat kesuburan sperma.
PENERAPAN DATA MINING UNTUK PEMETAAN DAERAH RAWAN BENCANA SEBAGAI UPAYA KESIAPSIAGAAN TERHADAP BENCANA Vega Purwayoga; Ali Astra Mikail; Salma Dewi Nur Faridah; Virra Retnowati A’izzah
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2381

Abstract

Disasters have a major impact on several sectors, such as infrastructure, manufacturing, tourism and transportation. One way to prepare for or improve disaster preparedness is to implement preventive measures. Preventive actions can be taken by identifying disasters in each area from past data. This study aims to map areas affected by disasters to facilitate disaster preparedness programs. The data used in this research are areas of West Java that will be affected by the disaster in 2022 from January to October. The disaster data used in this study are floods, landslides, abrasion, tornadoes, droughts, fires, earthquakes and tsunamis. Research to use data mining techniques, namely grouping techniques. The clustering algorithm used in this study is the K-means cluster. The clustering process was carried out several times to find out the comparison of the quality of the grouping results which in this study used the Within Cluster Sum of Squares (WSS). The best WSS value is when the number of k or the number of clusters is 5, which is 89.8%. This research is expected to be a reference for disaster preparedness. This research also produced disaster grouping maps, where each cluster has different characteristics or types of disaster.
IMPLEMENTASI AUDIO STEGANOGRAFI MENGGUNAKAN ALGORITMA DISCRETE COSINE TRANSFORM Trihastuti Yuniati
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2232

Abstract

The data exchange is increasingly felt in the era of massive technological developments. This condition results in data requiring a safe path in the delivery process. However, the current condition of the communication system or public internet is not completely secure because there is a possibility of data interception and manipulation by eavesdroppers. One solution to this problem is to apply steganography. Steganography is the science of hiding messages into other media so that people other than the sender and recipient do not know the existence of the message. In this study, the implementation of the steganography method was carried out by hiding text messages in audio files. Audio files are used in this study with the aim of exploiting gaps in human hearing so that the difference between the initial audio and the audio that has been inserted with the message is blurred. The audio type used is wav, because the wav file contains uncompressed audio, so the file will not be damaged after the message is inserted. The use of the Discrete Cosine Transform (DCT) method was chosen because of its ability to maintain the integrity of the messenger file which resulted in the message being difficult to detect in the steganographic file. Implementation is done using Matlab. The test is carried out using the black box testing method and calculating the Peak Signal to Noise Ratio (PSNR) value using a combination of 8 audio files and 3 sound recordings of various sizes with the message inserted in the form of 6 sample messages of type txt and messages typed directly on the form provided. The results of the black box test show that every feature and button installed in the application can function properly. While the results of the message insertion experiment with a total of 88 test scenarios obtained 7 error scenarios and 81 successes. The error occurs because the size of the inserted data is larger than the duration of the audio to be inserted. PSNR calculation results show that 75.31% of audio files after message insertion have PSNR values above 40dB from a total of 81 successful trials. This shows that the output audio file that has been inserted with a message still has good quality.
ANALISA PERBANDINGAN KINERJA ALGORITMA C4.5 DAN ALGORITMA K-NEAREST NEIGHBORS UNTUK KLASIFIKASI PENERIMA BEASISWA Agung Purwanto; Handoyo Widi Nugroho
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2370

Abstract

Penugasan beasiswa adalah masalah manajemen operasi yang dihadapi administrator universitas, yang biasanya diselesaikan berdasarkan pengalaman pribadi administrator. Penelitian ini mengusulkan metode insentif yang terinspirasi oleh pemrograman dinamis untuk menggantikan proses pengambilan keputusan tradisional dalam penugasan beasiswa. Tujuannya adalah untuk menemukan skema penugasan beasiswa yang optimal dengan ekuitas tertinggi sambil memperhitungkan kendala praktis dan persyaratan ekuitas Metodologi yang digunakan dalam menentukan penerima beasiswa di Universitas Muhammdiyah Pringsewu adalah dengan membandingkan tahapan Algoritma C.45 dan Algoritma K-Nearest Neighbors. Dari beberapa data sampel calon penerima dari jurusan Sistem Informasi dan telah dihasilkan berdasarkan perhitungan Algoritma K-Nearest Neighbors memiliki performansi yang lebih baik yaitu presisi 98,72%, akurasi 97,66% dan nilai recall 99,50%, dengan hasil AUC sebesar 0,997 sedangkan C4,5 algoritma. mencapai 98,9% dengan nilai  precision 89,73%, nilai recall 100,00% dan hasil AUC 0,956. Kata Kunci: Beasiswa,Klasifikasi,C4.5, K-Nearest Neighbors
IMPLEMENTASI SISTEM RENCANA PEMBELAJARAN SEMESTER BERBASIS WEB UNTUK MEMPERMUDAH PROSES PEMBELAJARAN Tengku Alvin Firdaus; Rinno Hendika Putra; Fajar Arifandi; M. Khairul Anam; Lathifah Lathifah
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2348

Abstract

Rencana Pembelajaran Semester adalah rencana studi yang menjadi pedoman bagi pengajar dan mahasiswa untuk melakukan aktivitas perkuliahan.selama.satu..semester.untuk..mencapai..pembelajaran..yang..telah ditentukan. Dosen diharuskan menyusun Rencana Pembelajaran Semester sebelum perkuliahan dilaksanakan. Rencana dalam mengajar adalah pedoman atau instruksi untuk proses pembelajaran yang dikenal sebagai Rencana Pembelajaran Semester, dimana pada sistem tersebut memiliki hasil akhir yang diinginikan, serta berisi materi yang akan diajarkan, kegiatan belajar mengajar dan alat yang digunakan. Pada kampus STMIK Amik Riau masih menggunakan sistem manual dengan memanfaatkan Microsoft Word sebagai aplikasi dalam pembuatan perencanaan pembelajaran semester. Setiap dosen harus mengisi RPS terkait matakuliah yang diambil pada form yang di buat pada Microsoft Word. Oleh karena itu, perlunya pembuatan sistem RPS di STMIK Amik Riau. Sistem RPS ini dibuat untuk memudahkan dosen dalam melakukan pengisian Rencana Pembelajaran Semester. Sistem ini menggunakan kerangka kerja CodeIgniter (CI) untuk mempermudah dalam pembuatan sistem. Extreme Programming adalah salah satu metode pengembangan sistem yang dianggap cocok dalam membangun sistem RPS berbasis web yang dilakukan secara efisien dan membutuhkan perubahan yang cepat dan fleksibel di setiap tahapannya. Extreme Programming terdiri dari fase Planning, Design, Coding dan Testing hingga perangkat lunak yang dibuat diriliskan. Sebelum sistem RPS ini dirilis, pengujian diperlukan untuk memprediksi terjadinya kesalahan fungsional. Pengujian yang dilakukan dalam penelitian ini dilakukan menggunakan metodologi pengujian Black Box. Pada setiap tahap, penelitian ini memprioritaskan interaksi berulang (iterative) dengan pengguna untuk memastikan bahwa dapat memenuhi kebutuhan semua pengguna secara memadai dalam mengembangkan sistem perencanaan pembelajaran semester. Penelitian ini menggunakan Bahasa pemrograman Hypertext Preprosessor atau yang biasa dikenal dengan (PHP) dan MySQL sebagai manajemen basis data. Hasil dari penelitian ini adalah sistem Rencana Pembelajaran Semester berbasis web yang dapat mempermudah dosen dalam membuat dan mengumpulkan RPS, serta dapat mempermudah pencarian data saat diperlukan.
PENGEMBANGAN APLIKASI ABSENSI BERBASIS WEB MENGGUNAKAN FACE RECOGNITION M. Fauzi Isputrawan; Suriyanti Suriyanti
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2243

Abstract

Abstract In the conditions of the Covid-19 pandemic, which had an impact on company activities, such as social distancing, there were several company employees working from home. This work-from-home activity itself is not easy to implement, especially for companies that do not yet have a supporting system. The same condition with some of Company that still use the traditional method in employee management. The use of a website-based personnel management application recommended by the author can assist in submitting leave, making reports, storing, processing personnel data, and attendance with face recognition. This attendance application uses the PHP programming language with the SDLC development method and the waterfall model. From the results of the research conducted, it has been concluded that this personnel management application helps solve problems at several companies in personnel management activities. In the development of the application made to adjust to the problems and needs of the organization as well as the application uses a simple design to speed up users' learning of how to use the application when the application is implemented in the company. In the future, the application is expected to be developed according to technological developments so that the application still exists and can be used for an extended period of time. Keywords: Attendance, Application, Face Recognition, Website, SDLC, PHP
METODE PROFILE MATCHING UNTUK PENENTUAN AMBALAN TERGIAT PADA GERAKAN PRAMUKA KECAMATAN JATISAMPURNA BEKASI Muhamad Sony Pratama; Sri Dianing Asri; Desi Ramayanti; Sri Andriati Asri; Widyadi Setiawan
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2373

Abstract

DKR Jatisampurna Bekasi is a Group of Scout Members in the Jatisampurna area who are responsible for scouting management. Every year DKR Jatisampurna will choose the Most Active Ambalan in the Jatisampurna area. This study intends to get DKR Jatisampurna's active ambalan using Profile Matching. The Profile Matching method is used to compare individual/school competencies into competencies as the best shelves so that differences in competence (Gap Value) can be identified. The smaller the Gap Value generated, the greater the weighted score, which means that there is a greater opportunity for individuals/schools to become the best Troops in Jatisampurna district. The criteria provided by DKR Jatisampurna include the criteria of 35% Activeness, 35% Organizational, and 35% Non-Organizational. The three criteria are further divided into core and secondary factors, with the provisions of DKR Jatisampurna 50% core factor and 50% secondary for Activeness criteria, 60% core factor and 40% secondary for Organizational aspects, and 40% core factor and 60% secondary for non-organizational criteria. The end result of the profile matching process is the ranking of the shelves that can be used as the best shelves. Ranking is determined from the total value of the assessment sorted from the largest value to the smallest, where the alternative with the largest total value is selected as the final result. The profile matching method for determining the most active ambalan at DKR Jatisampurna Bekasi has worked well, with the highest score of 4.376875 for SMKN 14.
DESIGNING AN ANIMAL ADOPTION AND SOCIAL MEDIA INFORMATION SYSTEM USING THE SDLC WATERFALL METHOD Fabriyan Fandi Dwi Imaniawan; Dany Pratmanto; Teguh Rijanandi; Ayu Silvia
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2333

Abstract

Animal lovers are not only known as people who like certain animals because of their uniqueness or cuteness. Behind it all, animal lovers have the privilege that they are called good people. This is not without reason, because of course people who like to keep animals must be full of affection, sensitive and they have a way to be happy. We often have problems if we are animal lovers, we don't know where the nearest vet is, especially if we are a newcomer from a faraway city, where can we buy equipment or pet food, and the worst is if we don't know how to care for animals. our pets, especially when our pets are sick or other examples if we want to adopt animals or want to release our adopted animals to other people through existing social media but we are afraid of being deceived or even our pets will be abandoned. With the rapid development of this technology and with the help of artificial intelligence technology, we want to overcome all these problems, because technological developments have been used in all aspects such as schools, hospitals and so on. No exception in the field of animal and animal husbandry. We want to design an adoption information system using the Software Development Life Cycle (SDLC) method which is divided into several stages such as analysis, design, implementation, verification and finally repair. The author uses qualitative methods to collect data which the author will discuss on the background and stages of system analysis in the waterfall development method, qualitative methods emphasize more on observing phenomena and examining more into the substance of the meaning of these phenomena. The analysis and acumen of qualitative research are greatly affected by the strength of the words and sentences used. The system design we created uses the PHP Programming Language, Javascript and the mysql database, the authors hope that this research can become a reference for other articles in the future.
PEMILIHAN KARAKTER PADA PERMAINAN MULTIPLAYER ONLINE BATTLE ARENA DENGAN METODE AHP ( ANALYTIC HIERARCHY PROCESS ) Melissa Vania Adelina; Jati Sasongko Wibowo
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2079

Abstract

Multiplayer Online Battle Arena ( MOBA ) game is an online game where players are placed into a specified area to battle with other players to reach a goal, be it in team or individually. Nowadays, there are kinds of Multiplayer Online Battle Arena ( MOBA ) game released and free to be accessed by everyone. This is causing developers aggressively looking for a way to compete. One of the way is releasing new characters. The impact is new players hardly choose proper character to play. Therefore, researcher will make a calculation using AHP ( Analytic Hierarchy Process ) method in choosing the proper characters to suit the player’s desire or skill. The methods will start with defining problems, determining hierarchy structures, and determining criteria as well as alternative choices. The result of the research is a decision support system to choose proper character accurately and efficiently.

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