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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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The Application of Na ve Bayes Classifier Based Feature Selection on Analysis of Online Learning Sentiment in Online Media Putra, Ryanda Satria; Agustin, Wirta; Anam, M. Khairul; Lusiana, Lusiana; Yaakub, Saleh
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.5144

Abstract

There are problems that still exist in online learning including limited-reach networks, inadequate facilities and infrastructure, and others. This study discussed the analysis of sentiment which used the Na ve Bayes Classifier (NBC) method with XGBoost feature selection as a performance improvement that took data from news portals. The results of this study showed that graph data on the application of online learning forms in Indonesia had a "Negative" opinion. Performance testing of the NBC method based on XGBoost feature selection was conducted four times. The first experiment resulted in an accuracy value of 60.18% with 50/50 split data. The next experiment had an accuracy value of 56.92% with 70/30 split data. After that, the third experiment resulted in an accuracy value of 65.90% with 80/20 split data. The result of the last experiment was an accuracy value of 63.63% with 90/10 split data. After using XGBoost feature selection, it produced an accuracy of 60.18%, 67.69%, 70.45%, and 77.27%. The study also produced the highest average score at 10-Fold Cross-Validation in the second trial with a score of 65.62%.
Penerapan Metode Analytical Hierachy Process (AHP) Untuk Pemilihan Guru Terbaik di Sekolah SD Negeri Periuk 3 Mukti, Alfian; Diana, Anita
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.5183

Abstract

Sekolah perlu melakukan peningkatan kinerja guru dengan mengadakan pemilihan guru terbaik. Karena itu, penelitian ini mengulas sistem pendukung keputusan pemilihan guru terbaik pada   SD Negeri Periuk 3 Tangerang. Namun ada permasalahan yang terjadi, antara lain banyaknya jumlah guru sehingga sulit memilih guru terbaik, belum terdapatnya metode yang dipergunakan sebagai pembobotan nilai kriteria, dan juga belum adanya Sistem Pendukung Keputusan (SPK) yang membantu kepala sekolah. Untuk itu, sebagai solusi dari masalah yang ada, diusulkan pembangunan sitem pendukung keputusan pemilihan guru terbaik, supaya hasil yang dicapai semakin objektif dan dapat meningkatkan kualitas mengajar di sekolah. Sistem ini di bangun dengan menerapkan metode Analytical Hierarchy Process (AHP) juga menggunakan beberapa kriteria untuk menetapkan bobot yaitu nilai kehadiran, nilai kedisiplinan, nilai berpakaian, nilai skill. Selain itu, metode AHP juga dapat memberikan urutan prioritas alternatif. Penelitian ini bertujuan untuk membangun SPK pemilihan guru terbaik yang mempermudah pihak sekolah dalam penentuan guru terbaik serta dapat mengurangi tingkat kesalahan dalam penilaian, dan menghasilkan metode yang tepat untuk pemilihan guru terbaik. Selain itu hasil akhir alternatif guru terbaik yang terpilih, juga dapat menjadi motivasi kepada guru untuk meningkatkan kinerja sehingga menghasilkan kualitas kerja yang baik.  
IMPLEMENTASI PROFILE MATCHING PADA PRIORITAS APPROVAL PENGAJUAN LAYANAN PREMIUM PADA PT. PLN (PERSERO) ULP SEMARANG BARAT Setiawan, Aries; Ratnawati, Juli; Prihandono, Adi; Farida, Ida
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.5187

Abstract

Premium services are useful for overcoming blackout problems that often occur in previous regular services, with this service customers will get energy services with very adequate supplies. The system for submitting regular service upgrades to premium services at PLN. ULP Semarang Barat so far has not been able to provide the appropriate decision regarding the customer to be approved for the right type of premium service (bronze, silver, gold and platinum). The level of accuracy resulting from testing 15 data on the old system assessment is 0.87%, this means that profile matching can be referenced as an assessment of granting approval for premium service submissions
Pengembangan Sistem Informasi Destinasi Wisata Pati berbasis Web Semantik Nurkamid, Mukhamad; Fatah, Andrie Adzkia
Jurnal Transformatika Vol. 20 No. 2 (2023): January 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i2.5397

Abstract

The purpose of this study is to implement semantic web technology to search for tourist objects in Pati Regency using ontologies. Search engines are currently unable to provide the exact information that users need. While search engines that use semantics can provide relevant information because the data can be understood according to meaning and are interconnected. Ontology is used to store data in the form of objects that are interconnected with each other. The ontology approach was chosen as an alternative to current storage media (relational based), because the data is easier to present. Pati Regency has a lot of tourism potential to be developed. Statistical data on the number of tours in Pati every year has increased, including religious tourism, cultural tourism, nature tourism, educational tourism and industrial tourism. However, the existence of these many tours has not made the city of Pati a tourist destination for both local and foreign tourists. The results of this study are the presentation of data models for tourist destinations which include cultural tourism, educational tourism, nature tourism, historical tourism, industrial tourism, craft tourism and culinary tourism in Pati Regency which contains some information such as the name of the tour, type of tour, description, the location of the tour and the telephone of the tour.
Optimization of the Stemming Technique on Text Preprocessing President 3 Periods Topic Albab, M. Ulil; P., Yohana Karuniawati; Fawaiq, Mohammad Nur
Jurnal Transformatika Vol. 20 No. 2 (2023): January 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i2.5374

Abstract

Stemming merupakan suatu proses untuk menemukan kata dasar dari sebuah kata. Penelitian ini bertujuan untuk melakukan tahapan text pre-processing pada data twitter yang menyebutkan topik Presiden 3 Periode , yaitu sebanyak 797 data yang didapatkan dari crawling twitter mulai tanggal 15 April 2022 sampai dengan 30 April 2022, sekaligus melakukan optimasi salah satu teknik stemming terhadap teks berbahasa Indonesia yang memang belum banyak dilakukan. Banyaknya kata yang diolah sebanyak 9401 kata. Optimasi yang dilakukan yaitu dengan memodifikasi kamus bahasa dan menambahkan kata-kata yang dimasukkan dalam stopword sehingga dapat menghasilkan jumlah kata ter-stemming yang semakin meningkat. Sebelum dilakukan optimasi, prosentase keberhasilan stemming mencapai 95,86%, setelah dilakukan optimasi meningkat menjadi 99,93%.
Analisis Kolaborasi Hubungan Karyawan Menggunakan Metode Social Network Analysis (Studi Kasus Dinas Kearsipan dan Perpustakaan Kabupaten Boyolali) Kuncoro, Wreda Agung; Sediyono, Eko; Hartomo, Kristoko Dwi
Jurnal Transformatika Vol. 20 No. 2 (2023): January 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i2.6240

Abstract

Good local government performance, especially related to the realization of good corporate governance, can be created if there is good communication between agencies, employees and compact collaboration to synergize policies that facilitate public services. To optimize government performance, one of which is the Boyolali District Archives and Library Service through collaborative relationships between employees so as to create intense two-way communication. This study aims to identify social networks related to collaboration between employees using the Social Network Analysis method and a total of 40 people as respondents, but only 32 people filled out the questionnaire data completely. The indicators used in viewing the research results are density values, degree centrality values, closeness centrality values, betweenness centrality values, and clique values. The results of the analysis obtained a network density level of 14.8% (considered weak because it is less than 50 percent). Employee number 21 has the highest degree centrality value and betweenness centrality value, then employee number 9 has the highest closeness centrality. This research concludes that there is a good collaborative relationship between the four departments in the Archives and Library Office of Boyolali Regency, namely the Operations department, the Service department, the Archives department, and the Librarian department.  
SISTEM INFORMASI GEOGRAFIS PEMETAAN SUMBER MATA AIR PDAM KABUPATEN PATI BERBASIS WEBSITE Risaldi, Reva Bagus
Jurnal Transformatika Vol. 20 No. 2 (2023): January 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i2.4373

Abstract

Di setiap provinsi atau wilayah memiliki satu atau lebih perusahaan PDAM yang mengelola sumber air, salah satunya ialah PDAM Tirta Bening yang berada di Kabupaten Pati. Akan tetapi, saat ini dalam pengelolan data dan informasinya masih dilakukan secara manual yaitu masih menggunakan data statis menurut data yang telah di petakan sumber mata airnya. Hal ini dirasa informasi yang di dapatkan masih kurang begitu bagus karena masih menggunakan data statis untuk memonitoring pemetaan maupun pendataan suatu sumber airnya. Oleh karena itu penulis membangun aplikasi Sistem informasi geografis pemetaan sumber mata air PDAM Kabupaten Pati berbasis website , dengan metode sistem yang di gunakan adalah pendekatan OOP (Object Oriented Program) dengan menggunakan Unified Modeling Language, dan dengan metode pengembangan sistem waterfall. Hasil pengujian sistem diperoleh dari pengujian blackbox dengan hasil presentase 100% valid, whitebox dengan hasil basis flow memiliki 1 jalur, dan User Acceptance Testing dengan presentase segi kemanfaatannya ialah 98.66% segi tampilan antar muka ialah 100% dan segi kegunaan ialah 100%. Dari hasil pengujian mendapat kesimpulan bahwa sistem sangat layak
MOBILE PRIVACY AWARENESS OF HIGHER EDUCATION STUDENTS IN PLATEAU STATE NIGERIA Jegede, Abayomi; Chagga, Chagga Aku; Aimufua, Gilbert; Mazadu, Jesse; Oloyede, Ayodele; Olubodun, Kolawole
Jurnal Transformatika Vol. 20 No. 2 (2023): January 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i2.5444

Abstract

The ubiquitous nature of mobile devices and wide array of applications (and services) they offer make them useful in virtually all areas of human endeavours. Owners of mobile devices store large amounts of vital and sensitive personal information on their devices. Unauthorized access to such information by third parties can violate the privacy of users and expose individuals and businesses to huge financial loses and damage to reputation. This makes it imperative for owners of technology service providers and owners of mobile devices to take proactive steps that prevent privacy violation. One of such critical steps is privacy awareness, which is the knowledge and consciousness of the need for privacy, an understanding of actions that promote or compromise privacy and the consequences of irresponsible online behaviour. The aim of this study is to assess the level of awareness of tertiary institution students with respect to privacy issues associated with the use of mobile communication devices. The research uses questionnaires to obtain data on the privacy awareness of users of mobile devices in some tertiary institutions in Plateau State. The paper investigates the current status of mobile privacy issues and awareness of users in these tertiary institutions. It also attempts to expose the gaps in privacy awareness of mobile device users, the factors responsible for limited privacy awareness and strategies for addressing the low level of privacy awareness of mobile device users. The results from this study show that high level of literacy does not necessarily imply high-level privacy awareness. Many respondents who are privacy aware do not possess the necessary skills or knowledge to ensure data and user privacy on their mobile devices. Others who possess this knowledge are will to engage in practices that compromise privacy in exchange for financial gain. Overall, the study exposes the actual level of privacy awareness and defeat the assumption that high level of education automatically results in high-level privacy awareness. It also contradicts the assumption that being privacy-aware guarantees responsible online behaviour and adherence to practices that promote online privacy.
Peningkatan Fitur Ekstraksi Berbasis Discrete Wavelet Transform dan Principal Component Analysis Pada Pengenalan Citra Batik Sugiarto, Edi; Budiman, Fikri; Muslih, Muslih; Arifin, Zaenal; Fahmi, Amiq; Hendriyanto, Novi
Jurnal Transformatika Vol. 20 No. 2 (2023): January 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i2.5613

Abstract

Pengenalan pola batik menjadi penting karena batik sebagai warisan budaya bangsa perlu dilestarikan kepada generasi ke generasi. Salah satu upaya untuk memperkenalkan pola batik ini yaitu dengan memperkenalkan keragaman motif atau polanya. Penelitian ini bertujuan untuk mengoptimalisasi metode fitur ekstraksi dengan menggunakan metode Discrete Wavelet Transform (DWT) dan Principal Component Analysis (PCA) untuk mereduksi hasil fitur ekstraksi yang diperoleh dari DWT berdasarkan fitur-fitur yang memiliki korelasi yang baik. Tahapan dilakukan dengan menggunakan 310 data berupa citra batik yang terdiri dari 7 motif dengan komposisi 240 untuk data training dan 70 untuk data testing. Pada tahap fitur ekstraksi dengan menambahkan metode PCA pada DWT mampu mereduksi fitur dari 20 menjadi 5 fitur. Selanjutnya fitur tersebut diuji dengan melakukan klasifikasi menggunakan metode KNN dan SVM. Hasil dari klasifikasi dapat dibuktikan bahwa dengan menggunakan metode PCA dan DWT pada tahap fitur ekstraksi mampu meningkatkan klasifikasi hingga 5%.
Distributed MD5 Brute Force Using Message Passing Interface (MPI) on ARM Architecture Saputra, Maulana Bagus; Umam, Chaerul
Jurnal Transformatika Vol. 20 No. 2 (2023): January 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i2.5630

Abstract

Over the years, there has been a computing paradigm shift towards smart devices. However, the security aspect of this type of device is questionable. In this research, the writer provides a design, implementation, and testing of a distributed MD5 brute-force attack method. Testing is performed using two systems. The first system is an ARM Cluster consisting of four single-board computers. The second system is a conventional server with two Xeon processors. From this research, the writer wants to answer the question of whether distributed brute-force attacks using IoT nodes can be realized in the real world by doing a comparison between increases of ARM Cluster performance with node addition to conventional server performance. From the test result, Xeon model performance is equivalent to 8 ARM Clusters and around 30 ARM nodes are required to match Xeon model performance.

Page 26 of 35 | Total Record : 344

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