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Bernadus Very Christioko
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Fakultas Teknologi Informasi dan Komunikasi, Universitas Semarang, Jl. Soekarno-Hatta Tlogosari Semarang, Central Java, Indonesia
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Jurnal Transformatika
Published by Universitas Semarang
ISSN : 16933656     EISSN : 24606731     DOI : https://doi.org/10.26623/transformatika
Core Subject : Science,
Computer Science & IT
Transformatika is a peer reviewed Journal in Indonesian and English published two issues per year (January and July). The aim of Transformatika is to publish high-quality articles of the latest developments in the field of Information Technology. We accept the article with the scope of Information Systems, Web Technology, Computer Networks, Artificial Intelligence, and Multimedia.
Arjuna Subject : -
Articles 344 Documents
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ANALISIS DAN KOMPARASI ALGORITMA NA VE BAYES DAN C4.5 UNTUK KLASIFIKASI LOYALITAS PELANGGAN MNC PLAY KOTA SEMARANG Widayati, Yohana Tri; Prihati, Yani; Widjaja, Stephanus
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2541

Abstract

Customer loyalty is an important factor to the survival of a company. The problem facting today is related to the descreasing number of customer loyalty that happened to PT MNC Play. If this is allowed   to continue it is not impossible this will endanger the continuity of the company s business.Keep in mind the factors that cause customers to have loyal and disloyal status, data mining classification techniques can be used to classify loyal and disloyal customers. Many data mining classification algorithms can be used, so it needs to be comparative to know the accuracy of each algorithm, the algorithem used is C4.5 and Na ve Bayes. The data used were 28,899MNC Play customer of Semarang City.The results of the classification   process were evaluated using cross validation, confusion matrix, ROC Curve to find the more accurate data mining classification algorithm to determine loyal and disloyal customers.Keywords: Classification, Customers Loyalty, Na ve Bayes, C4.5.
Pattern Recognition of Human Face With Photos Using KNN Algorithm Kurniadi, Dedy; Sugiyono, Andre; Wardaya, Linggar Alfithna
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3581

Abstract

A Facial photos in today's era are widely used as a media for identity recognition, but not many computer applications provide identity recognition of face photos that contain the names of the photo owners, to make an a prototype the sistems use a KNN algorithm, this algorithm work is by classifying the closest object and grouping it on predetermined objects. In this paper, the object is a face photo where the KNN algorithm will be used to classify the facial patterns contained in the photo. The stages in pattern recognition, starting from preprocessing, feature extraction and then classification. In addition to using the KNN algorithm for data classification, photo of faces will be detected and stored the T-Zone area and frontal face. In this paper 11 images used for data testing and the accuracy will be calculated using a recognition algorithm. The results of this paper are a facial recognition program using python that can display faces with a validity level of 82%.
Perancangan Sistem Informasi E-Learning pada SMAN ABC Zaki Baihaki, TB E; Nurmiati, Evy
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.2936

Abstract

The Covid-19 pandemic requires schools to divert their learning in their respective homes simultaneously with government regulations related to large-scale social access (PSBB) which aim to avoid crowds and add new clusters in the educational environment. This is a challenge for schools that do not yet have a bold learning platform and for teachers who still cannot use technology to provide their learning boldly. The web-based e-learning platform is expected to be able to assist teachers and students in carrying out learning without any technical guidance on its use. By using Rapid Application Development (RAD) in its design, it is hoped that it can produce an e-learning platform that is easy to use by teachers and students from SMAN ABC. This research is only up to the Design Workshop.
Model Ontologi untuk Penjadwalan Kuliah di Program Studi Teknik Informatika Fakultas Teknik Universitas Muria Kudus Nurkamid, Mukhamad; Jazuli, Ahmad; Nugroho, Dimas Adi; Mahfud, Rizal Abdullah
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3524

Abstract

The purpose of this study is to build a data model for scheduling lectures at the Informatics Engineering Study Program, Faculty of Engineering, Muria Kudus University uses ontology as part of the implementation of semantic web technology. System built based on existing schedule data in the Informatics Engineering Study Program, such as data days, courses, credits, space and time stored in RDF / OWL format. The use of a lot of data with different storage formats becomes problems in finding valid information. To overcome this, it is necessary a system that can provide complete information is needed, namely with using semantic web technology. The semantic web is used to understand meaning of a word and concept, because it builds interconnected resources. Semantic web implementation is built using the ontology approach applied to RDF/OWL format. The results of this study are improving the ability of computers to search for more informationrich lecture schedules in the Informatics Engineering Study Program.
Implementasi Twitter Bootstrap dalam Pengembangan Aplikasi Web E-Commerce (Studi Kasus Toko Putra Reban Kendal) Widayati, Yohana Tri; Prihati, Yani; Widjaja, Stephanus; Prakoso, Satrio Agung; Notobudojo, Angeline Renita
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3541

Abstract

This study aims to apply twitter bootstrap in an e-commerce web so that the web display becomes more responsive, that is, it can provide a display according to the device used to access the web. The object of this research is the Putra Reban Store in Kendal which markets local art equipment and supplies, especially masks.The system development method used in this research is the Scrum method with stages including product backlog, sprint backlog, sprint and working increment. This method was chosen because it can save system development time and can transform a business that is difficult to measure into one that is easy to develop. The system is designed with 2 actors, namely admin and customer. Admin has access rights to manage product data, customer data, and order data, while customers have the right to access product data and make order transactions.With this developed system, it is easier for Putra Reban Stores to market their products because product descriptions and product availability stocks can be informed more easily and accurately. With complete and accurate product information, it will also be easier for customers to make transactions.
REFERENSI PENUGASAN TENAGA TEKNISI PADA PENANGANAN VARIAN KERUSAKAN MENGGUNAKAN DECISION SUPPORT SYSTEM Setiawan, Aries; Ratnawati, Juli; Prihandono, Adi
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3061

Abstract

Aset yang dikelola oleh sebuah instansi bisa berupa peralatan yang mempunyai batas umur pakai, jika perawatannya tidak tepat maka akan berakibat pada pemakaian yang tidak maksimal. Perawatan bisa berupa servis rutin dan servis ketika terjadi kerusakan, perawatan dilakukan oleh tenaga teknisi. Kemampuan dari setiap teknisi belum tentu sama, pemberian tugas berdasarkan pada unsur subyektivitas tidak akan mampu memberikan layanan yang baik pada perbaikan yang diminta oleh masing-masing divisi, karena pemilihan teknisi berdasarkan subyektivitas tersebut belum tentu didapatkan teknisi yang memiliki keahlian sesuai dengan tingkat kerusakan alat.   Perlu sebuah upaya obyektif untuk mendukung keputusan dalam mereferensikan teknisi pada sebuah proses perbaikan dengan menggunakan metode K-Nearest Neigbor    
Profile Matching Untuk Sistem Pendukung Keputusan Penilaian Kinerja Driver Kurniawan, Achmad Wahid; Widjajanto, Budi; Farida, Ida
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3128

Abstract

Penilaian secara periodik terhadap driver perlu dilakukan, untuk mengevaluasi kinerja. Pelaksanaan evaluasi membutuhkan waktu sehingga evaluasi sering dilakukan ketika terjadi keluhan dari penumpang, memberikan efek perubahan yang sifatnya sementara juga, setelah keluhan teratasi maka driver maupun pimpinan divisi transportasi menganggap tidak akan terjadi lagi kejadian yang sama. Bentuk evaluasi seperti di atas seringkali hanya  dilakukan terhadap driver yang dikeluhkan penumpang.   Penilaian kinerja yang termodel dan menyeluruh terhadap semua driver, yang sifatnya periodik dengan Sistem Pendukung Keputusan berbasis Profile Matching mampu meminimalisir kejadikan yang dikeluhkan penumpang..    
RANCANG BANGUN SISTEM PEMBERIAN PAKAN AYAM BROILER BERBASIS MIKROKONTROLLER Farichah, Ainul; Riadi, Aditya Akbar; Murti, Alif Catur
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.2526

Abstract

Broiler Chicken Feed System is a tool that is implemented using microcontroller technology. The focus of technology in industry 4.0 is that all devices can be controlled and monitored remotely, as long as they are connected to a network. In accordance with this vision, this technology makes it easier for farmers to feed chickens that were originally still using manual labor, then made automatically by implementing microcontroller technology consisting of SIM800L, Arduino, servo motors, and ultrasonic sensors. By using two ultrasonic sensors that are placed to enter orders and provide information about the stock of chicken feed this technology can work well. The focus of this technology is that it can be used for remote monitoring. Not only that, this technology can also send notifications to the farmer's smartphone to show the condition of the chicken feed stock that is still available. By applying this technology, chicken farmers can combine and feed their chickens from anywhere.
YOLO Algorithm for Detecting People in Social Distancing System Adhinata, Faisal Dharma; Rakhmadani, Diovianto Putra; Segara, Alon Jala Tirta
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3582

Abstract

Social distancing is an effort to prevent the spread of the coronavirus. Several systems for monitoring social distancing have been developed. People detection is an essential step in implementing a social distancing system. Failure to detect people causes the social distancing system to be inaccurate. Two people who communicate cannot occur violations of social distancing because one person is not detected. Therefore, we propose a precise person detection method for the social distancing system. The proposed social distancing system uses the YOLOv3 method for people detection and Euclidean Distance for measuring the distance of social distancing. YOLOv3 can detect people's objects precisely, even people who are caught small by the camera. Experiments on two outdoor video datasets result in an F1 value of more than 0.8. This proposed system can serve as a reference for future social distancing research.
Kompetensi Kinerja Dosen Terhadap Topik Bimbingan Tugas Akhir Mahasiswa Menggunakan Na ve Bayes aqmala, diana; Farida, Ida; Samasta, Almira Santi; Setiawan, Aries
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3239

Abstract

Kualitas produk bimbingan di sebabkan beberapa faktor yang juga merupakan elemen kinerja dosen juga diantaranya lulusan dosen, bidang keahlian, mata kuliah yang diajar, jumlah mahasiswa lulusan. Penentuan dosen bimbingan pada setiap topik tugas akhir yang dilakukan prodi manajemen selama ini masih berdasarkan satu variabel saja yaitu lulusan dosen, belum ada variabel pertimbangan lain seperti yang tersebut diatas. Perlu dilakukan klasifikasi kinerja dosen yang meliputi lulusan dosen, bidang keahlian, mata kuliah yang diajar, jumlah mahasiswa lulusan terhadap ploting topik bimbingan tugas akhir mahasiswa. Hasil klasifikasi mampu memberikan dukungan keputusan dalam menentukan dosen-dosen yang berkompeten pada setiap jenis topik tugas akhir.  

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