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All Journal Jurnal Ilmiah Informatika Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Mantik Buana Information Technology and Computer Sciences (BIT and CS) JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Jurnal Minfo Polgan (JMP) Journal of Practical Computer Science (JPCS) Jurnal Ekonomi, Teknologi dan Bisnis Nuansa Informatika Jurnal Akademik Pengabdian Masyarakat Jurnal Sistem Informasi (JASISFO)
Wresti Andriani
STMIK YMI TEGAL
Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Implementation of sugeno fuzzy method on bandwidth management at STMIK YMI Tegal Gunawan Gunawan; Wresti Andriani; Dodi Setiawan
Jurnal Mantik Vol. 7 No. 3 (2023): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i3.4145

Abstract

In the lecture process, the Internet becomes very important, and access settings or bandwidth management is needed so that Internet use can run smoothly. Many users can cause the burden of computer access to be high, so internet use will be unbalanced if bandwidth management is not carried out. Bandwidth management aims to allocate bandwidth in an internet network so that the distribution is equal and the comfort between users and one another is not disturbed. The method used is fuzzy Sugeno to implement Sugeno's fuzzy logic into bandwidth management and optimize internet usage. Fuzzy inputs used include download, streaming, and browsing variables. Using three fuzzy sets, namely low, standard, and solid. The output is Download Limit, Streaming Limit, and Browsing Limit. System testing will be conducted using MATLAB. After testing, results were obtained through bandwidth limits from downloading, streaming, and browsing. One of the study's results included a given system input download = 700, streaming = 668, and browsing = 611. Produce output is Download Limit = 700, Streaming Limit = 481, and Browsing Limit = 319
Comparison of banking stock price movements using KNN and Linier Regresi methods Wresti Andriani; Gunawan; Sawavyya Anandianskha
Jurnal Mantik Vol. 7 No. 3 (2023): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i3.4304

Abstract

Stock price movements are a reflection of various situations and factors such as economics, politics and markets. Influencing factors such as economic news both foreign and domestic such as monetary policy, changes in interest rates and political events such as general elections. Indonesian politics is currently holding a general election process, the Presidential election can influence stock movements. Causing investors to be more careful about investing in this case in banks in Indonesia that have state-owned status, such as BTN, BRI, BNI and Bank Mandiri. This research predicts stock price movements using the Linear Regression method compared to the k-NN method, to find the best evaluation results from the two methods in selecting banks that are more profitable and do not influence political process factors. The results obtained were that Bank Mandiri was safer and promised profits using the Linear Regression method which was better than k-NN with RMSE 281,012, MAE 97,909 and MSE 80348,873. Bank Mandiri is safer and promises profits
PENGENALAN MOTIF BATIK PESISIR PULAU JAWA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Bagus Untung Saputra; Gunawan; Wresti Andriani
NUANSA INFORMATIKA Vol. 17 No. 2 (2023): Volume 17 No 2 Tahun 2023
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v17i2.32

Abstract

Coastal Batik is made outside of Solo and Yogyakarta. The use of the term "coastal" is due to the majority of batik production being located in the northern coast of Java, such as Indramayu, Cirebon, Pekalongan, Lasem, and others. Coastal batik is characterized by flexible color selection and patterns, influenced by foreign influences, particularly after the introduction of Islam in the 16th century. The Convolutional Neural Network (CNN) method is commonly used in classifying digital image data. Neurons in CNN are represented in a two-dimensional form, differing in linear function and weight parameters. The CNN extraction process consists of hidden layers, including convolutional, pooling, and ReLU (activation function) layers. The evaluation results of the Convolutional Neural Network model show that it can perform classification and recognize coastal batik images of Java Island, achieving the best results in the first scenario with a training data ratio of 70% and testing data ratio of 30%, resulting in an accuracy of 83%. For future research, it is recommended to increase the number of batik images and capture them directly, while incorporating segmentation or extraction features to measure efficiency and accuracy levels. This will help obtain better results in recognizing the characteristics of coastal batik in Java Island.
Penerapan Aplikasi Pelayanan Masyarakat Desa (Studi Kasus: Desa Tonggara Kecamatan Kedungbanteng Kabupaten Tegal) Aang Alim Murtopo; Zaenul Arif; Bangkit Indarmawan Nugroho; Nugroho Adhi Santoso; Sarif Surorejo; Bayu Aji Santoso; Syefudin; Gunawan; Wresti Andriani; Rifki Dwi Kurniawan
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 2 No. 4 (2024): Juli : Jurnal Akademik Pengabdian Masyarakat
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v2i4.2209

Abstract

The implementation of the Community Service Application in Tonggara Village, Kedungbanteng District, Tegal Regency aims to simplify and speed up the community service process. This application is web-based and can be accessed by the public via computer, smartphone or tablet devices. Some of the services available in this application include providing information about village profiles, village potential, and village programs. The Village Community Services Application can process various village administration services, such as domicile certificates, business certificates and trade business permits. The Village Community Services Application provides a platform for the community to submit complaints to the village government, providing consultation services for the community regarding various matters, such as health, education and law. The implementation of this application is expected to increase the effectiveness and efficiency of community services in Tonggara Village. Apart from that, this application is also expected to increase the transparency and accountability of the village government to the community. The benefits of implementing the Village Community Service Application in Tonggara Village have several benefits, including increasing the effectiveness and efficiency of community services, making the community service process faster, easier and more transparent. Increasing transparency and accountability of village governments, communities can easily access information about available services and monitor village government performance. Increasing community satisfaction, people feel more satisfied with the services provided by the village government. Increasing community participation, it is easier to get involved in village activities. Implementing the community service application in Tonggara Village is the right step to improve the quality of public services in the village. This application can help village governments to provide more effective, efficient, transparent and accountable services to the community.
Implementation Of Marker-Based Tracking Method On Augmented Reality In Multimedia Learning (Case Study Of STMIK Tegal) gunawan, gunawan; Wresti Andriani; Sawaviyya Anandianskha; Muhammad Indratama
Buana Information Technology and Computer Sciences (BIT and CS) Vol 5 No 1 (2024): Buana Information Technology and Computer Sciences (BIT and CS)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/bit-cs.v5i1.5898

Abstract

Introducing campus locations for new students or address seekers is an important activity. Multimedialearning is not only a tool for creating harmonious presentations and alternatives that combine visualand audio media; technology can be used for its tools. Augmented Reality (AR) is one of them.Augmented Reality is helpful as a combination of virtual and Reality devices that operate interactivelyin a realtime natural environment. Based Marker Tracking is a method used to make objects into twodimensions and three dimensions whose process begins with directing the marking object by the userusing the camera on the mobile device until the camera reads the object. Light intensity affects detectionsuccess, and distance calculation also becomes essential. If the marker is successfully detected, theapplication will convert it into a 3-dimensional object as the final result. In this study, a location searchwill be carried out for the STMIK TEGAL Campus Building using Augmented Reality based on theBased Marker Tracking method to produce the most ideal conditions to be able to display 3D objectsfrom the STMIK TEGAL Building, which is a distance of 15 to 25 cm with bright Light using Android,so that this application can be used to find the location of the STMIK TEGAL Building.
Penerapan Metode Self Organizing Map dan Simple Additive Weighting untuk memilih Tempat Wisata di Tegal Windi Setiawati; Sarif Surorejo; Wresti Andriani; Gunawan Gunawan
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13667

Abstract

Penelitian ini mengusulkan penggunaan kombinasi metode Self Organizing Map (SOM) dan Simple Additive Weighting (SAW) untuk optimasi pemilihan dan pengembangan tempat wisata di Tegal. Metode SOM, sebagai alat pembelajaran mesin, digunakan untuk menganalisis pola historis kunjungan dan mengidentifikasi preferensi pengunjung, sementara metode SAW digunakan untuk menilai dan memberikan peringkat pada kriteria yang dianggap penting oleh pengelola pariwisata. Integrasi kedua metode ini bertujuan untuk meningkatkan keakuratan dalam pemilihan dan pengelompokan atraksi wisata berdasarkan variabel yang relevan, serta membantu dalam alokasi sumber daya yang lebih efisien. Hasil dari penelitian ini menunjukkan bahwa penggunaan kombinasi SOM dan SAW secara efektif mendukung pengambilan keputusan dalam pengembangan pariwisata yang berkelanjutan di Tegal, dengan memberikan rekomendasi yang berbasis pada analisis data canggih. Implementasi metode ini memberikan wawasan baru dalam pengelolaan pariwisata dan dapat diadopsi oleh daerah lain dengan kondisi serupa untuk meningkatkan pengelolaan destinasi wisata mereka. Penelitian ini berkontribusi pada literatur dengan menunjukkan bagaimana teknologi analisis data dan kecerdasan buatan dapat diintegrasikan dalam pengelolaan pariwisata untuk meningkatkan pengalaman pengunjung dan pertumbuhan ekonomi lokal.
Tinjauan Pustaka Sistematis: Pemanfaatan Big Data Dalam Konsep Smart City Wresti Andriani; Tezya Sekar Arianti; Gunawan Gunawan
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 1 No. 1 (2022): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v1i1.3

Abstract

Era digital yang saat ini telah menyeluruh ke seluruh dunia dan terus mengalami perkembangan menjadi suatu upaya perubahan di seluruh aspek kehidupan, salah satunya dalam pembangunan berkelanjutan Smart City. Pembangunan berkelanjutan Smart City memungkinkan pemerintah untuk membuat sebuah aplikasi berbasis internet atau digital untuk mengelola sebuah pemerintahan baik dalam lingkup di sisi pemerintahan atau pada masyarakat. Oleh karena itu, Big Data sangat memiliki peranan penting dalam upaya pembangunan berkelanjutan agar dapat terlaksana secara efisien dan efektif. Penggunaan big data diharapkan mampu untuk memberikan kemudahan, memperlancar terlaksananya pembangunan berkelanjutan Smart City. Pada penelitian ini Big Data memiliki fungsi sebagai sebuah bagian untuk melakukan pemrosesan dalam aplikasi pemerintah dengan mengelola data yang sangat banyak yang dikarenakan jumlah masyarakat yang sangat banyak.
Pendekatan Hibrid Logika Fuzzy dan Metode Topsis Untuk Evaluasi Kelayakan Beasiswa Mahasiswa Wresti Andriani; Gunawan Gunawan; Haris Fadillah; Mayang Melan Dari
Jurnal Sistem Informasi (JASISFO) Vol. 7 No. 1 (2026): Maret
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Proses seleksi beasiswa di perguruan tinggi sering menghadapi tantangan dalam aspek keadilan, transparansi, dan akurasi. Penelitian ini mengembangkan sistem pendukung keputusan berbasis Fuzzy Inference System (FIS) dengan empat metode—Mamdani, Sugeno, Tsukamoto, dan Larsen—yang diintegrasikan dengan Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) untuk evaluasi multi-aspek. Tujuannya adalah membandingkan kinerja masing-masing metode berdasarkan akurasi prediksi (Mean Absolute Error/MAE), efisiensi komputasi, dan interpretabilitas. Evaluasi pada data 10 mahasiswa menunjukkan bahwa metode Larsen memiliki kinerja terbaik dengan MAE terkecil (6,05), waktu eksekusi tercepat (0,2182 ms), dan skor interpretabilitas tinggi (4,33), serta memperoleh nilai preferensi TOPSIS tertinggi (0,9163). Metode Mamdani unggul pada interpretabilitas namun lebih lambat secara komputasi, Tsukamoto memiliki kecepatan komputasi yang cukup baik namun menghasilkan MAE terbesar, sedangkan Sugeno menempati peringkat terendah dalam interpretabilitas karena keluaran liniernya kurang intuitif bagi pengguna non-teknis. Secara keseluruhan, hasil ini menegaskan pentingnya keseimbangan antara akurasi, efisiensi, dan kemudahan interpretasi dalam pemilihan metode inferensi fuzzy untuk sistem kelayakan beasiswa. Metode Larsen dan Mamdani direkomendasikan untuk implementasi lebih lanjut, dengan potensi pengembangan mencakup penggunaan dataset yang lebih besar, pendekatan fuzzy hibrid, dan antarmuka visual yang ramah pengguna untuk mendukung penerapan praktis di institusi pendidikan.
Model Verifikasi Ijazah Digital Berbasis Blockchain Wresti Andriani; Gunawan; Lulu Ilmaknun; Afrizal Rahman; Adhisty Insyira Chairina
Jurnal Sistem Informasi (JASISFO) Vol. 7 No. 1 (2026): Maret
Publisher : Politeknik Negeri Sriwijaya

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Abstract

Pemalsuan ijazah menjadi tantangan serius bagi perguruan tinggi karena masih mengandalkan proses verifikasi manual yang lambat dan rentan manipulasi. Penelitian ini bertujuan mengembangkan dan menguji sistem verifikasi ijazah digital berbasis blockchain sebagai solusi alternatif. Sistem dirancang menggunakan smart contract pada jaringan blockchain Ethereum simulasi. Data uji terdiri dari 25 rekaman ijazah mahasiswa Universitas Digital Nusantara. Setiap ijazah dienkripsi dan diubah menjadi hash SHA-256, kemudian dicatat pada blockchain untuk memastikan integritas dan transparansi. Proses verifikasi publik dilakukan melalui fungsi khusus pada smart contract. Hasil pengujian menunjukkan tingkat keberhasilan verifikasi sebesar 96% dengan waktu eksekusi rata-rata kurang dari lima detik per proses. Temuan ini membuktikan bahwa sistem mampu memberikan metode verifikasi ijazah yang cepat, aman, dan andal. Teknologi blockchain juga memberikan perlindungan tinggi terhadap manipulasi data serta menyediakan jejak audit yang transparan. Penelitian ini menyajikan model praktis dan inovatif untuk verifikasi ijazah berbasis blockchain yang berpotensi diadopsi secara luas oleh perguruan tinggi dalam memerangi pemalsuan ijazah dan mendorong transformasi menuju dokumentasi akademik digital yang aman.
Co-Authors ., Widiyawati Aang Alim Murtopo Adhisty Insyira Chairina Afrizal Rahman Ahmad Zulfikri Aisyach Aminarti Santoso Alan Eka Prayoga Bagus Untung Saputra Bangkit Indarmawan Nugroho Bayu Aji Santoso Catur Supriyanto Dodi Setiawan Fitria Nurapriani Gunawan Gunawan Gunawan Gunawan Gunawan Gunawan Haris Fadillah Intan Mayla Faiza Lulu Ilmaknun Mayang Melan Dari Muh Ridwan Muhammad Hatami Nugroho Adhi Santoso Purwanto Purwanto Rifki Dwi Kurniawan Sarif Surorejo Sawaviyya Anandianskha Sawaviyya Anandianskha Sawavyya Anandianskha Syefudin Tezya Sekar Arianti Tukino Wilda Shabrina Windi Setiawati Zaenul Arif