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Journal : Jurnal Transformatika

Utilization of location-based services for the design of agricultural sales applications Moch Taufik; Sam Farisa Chaerul Haviana; Dedy Kurniadi
Jurnal Transformatika Vol 15, No 2 (2018): January 2018
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v15i2.598

Abstract

Onion is one of the main income sectors in Brebes Regency, since most of Brebes area is rice field. Climate and soil type in Brebes is very suitable for onion cultivation plus onion has a high selling value compared to other agricultural products, it makes onion become the main choice of agricultural citizens. The magnitude of the red shadow from Brebes supplies 23% of national needs. One common problem that arises is how to bridge or facilitate farmers to offer their crops, and make it easier for buyers to locate farmers who sell their crops. One solution is the development of a system that can be an e-commerce web for a special sales promotion media for Gapoktan members (Combined Farmer Group) in Brebes District that will connect sellers and buyers online, and location search media for buyers to more easily find distribution location of the seller by using Location Based Service. Keywords: Location Based Service, Onion
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%.
Model Integer Programming untuk penugasan pekerjaan dengan waktu kedatangan dan keberangkatan yang berbeda Sugiyono, Andre; Kurniadi, Dedy
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.v20i2.5911

Abstract

Penelitian  ini membahas masalah alokasi peti kemas ke lokasi galangan terminal kapal dimana peti kemas memiliki waktu kedatangan dan keberangkatan yang berbeda untuk meminimalkan total biaya penanganan peti kemas. Diasumsikan bahwa jika lokasi galangan yang dipilih lebih dekat ke titik dimana peti kemas diturunkan dari kapal, biaya keseluruhan akan berkurang. Masalah ini dapat didefinisikan sebagai masalah alokasi mesin pekerjaan di mana biaya pemrosesan pekerjaan pada setiap mesin berbeda tetapi tidak tergantung pada waktu pemrosesan dan pekerjaan yang tidak dapat diakhiri memiliki waktu kedatangan dan keberangkatan yang berbeda. Masalah ini dirumuskan dalam solusi eksak sebagai model pemrograman integer campuran. Hasil komputasi menunjukkan bahwa heuristik ketiga yang diusulkan efisien dalam memecahkan masalah lokasi dalam biaya yang berbeda, jumlah pekerjaan, dan waktu komputasi.
Implementasi Algoritma Cosine Similarity pada sistem arsip dokumen di Universitas Islam Sultan Agung Kurniadi, Dedy; Haviana, Sam Farisa Chaerul; Novianto, Andika
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1613

Abstract

Archiving in University that have not been well organized will cause a problems, the documents need for structuring and archives properly in the systems for the good standard a universities. The most importance of ease in finding the required archives is an important reason why it is necessary to develop an archive search system that can facilitate and improve the process of searching the archived document. Apllying cosine similarity algorithm in Information Systems is a solution for University to organizing archived documents, results from this reserach is the systems can show the relavant document from database list with precision 88.8% and recall 76.1%   from all the data in database.  
Fuzzy Tsukamoto Implementation on Internet of Things to Control Flooding Riansyah, Andi; Kurniadi, Dedy
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1700

Abstract

A Flooding is a disaster that often occurs in the Semarang area, especially on Jl. Raya Kaligawe. Flooding can occur due to the ineffectiveness of the pump work in a water impregnation pool. The impact of the floods is detrimental to students because with the flooding it can interfere with teaching and learning activities and studying student activities when on campus. At Sultan Agung Islamic University, Semarang has a water impregnation pool that is still manually controlled. By using Fuzzy Tsukamoto as artificial intelligence on Internet of Things technology, we can carry out intelligent control systems in water absorption pool pumps in realtime, so as to prevent and reduce human error that causes flooding. In principle, the Internet of Things works using a microcontroller, one of the microcontrollers that can be used, namely Wemos D1 mini. Wemos D1 mini is connected with an ultrasonic sensor to measure water level in a water infiltration pond, air temperature and air humidity sensor to detect rain.
Pengelompokkan Data Akademik Menggunakan Algoritma K-Means Pada Data Akademik Unissula Kurniadi, Dedy; Sugiyono, Andre
Jurnal Transformatika Vol. 18 No. 1 (2020): July 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i1.2277

Abstract

A Higher education in the digital era as it is now common to use IT technology (Information Technology) in supporting their daily activities, but the use of IT raises a problem that is serious enough if there is no support and no further management this is only produce a data noise , Sultan Agung Islamic University (Unissula) has implemented an IT-based academic information system, in use of this information systems by time this systems produce a lot of data in the unissula academic database and this data is monotonous data and not clustered or also called data noise data that overlap without any benefit and information further in it, the purpose of this study is to solve the problem of these data into student performance data based on the GPA from semester 1 to semester 4 and make it to be a best data to support an alternative decision by the leader, this study uses the method of datamining and k-means algorithms, k-means algorithm is very good to be used as a solution for problems related to clustering, k-means algorithm is an algorithm that is unsupervised and the data can be adjusted by its self according to its class, the results of this study are a decision support system for grouping academic data in the form of dashboard information systems.
Co-Authors ., Ghufron A Azidny Abdullah Muzakki Achmad Chaidir Achya Puji Sari Adi Ariyo Munandar Adi, Panggih Nur Ainun, Su’aidah Almahdi, Bardad Amalia, Direstu ANANDA, DWI LISA ANANDA Andi Riansyah Andi Riansyah Andre Sugiyono Ariyanto, Bagas Afza Joko Arrimayah, Amri Rahma Asih Widiharini Avian, Rehan Zikri Azzahro, Affifah Bachtiar Dwi Hari Putranto Badie'ah, Badie'ah Bagus Satriyo Waluyo Poetra BILAN, BILAN HIFZHI Danang Septiawan Santoso David, Muhammad Dwi Zunia Arianto Eka Nuryanto Budi Susila Elfira Wirza, Elfira Fakhruddin, Rakhmat Gentur Waluyo, Gentur ghufron, ghufron Gibran, Akhmad Khahlil Hastuti, R. W. Hermala, Zusnita Hermanto, Fazri Hernawati, Tati Hidayah, Arif Rahmat Hidayat Hidayat Ibnu Widiyanto Ida Widihastuti Iding Tarsidi Imam Much Ibnu Subroto Irwan Irwan Ismail, Muhammad Rizqy Johan Hamuda Karina Nabila Maharani Keykenanta Meliala, Egia Khairunnisa, Akmalia Kharis Abdullah Krisnawati, Luri Laju, I Kadek Langga, Putut Air Lia Jurnaliah Lilis Nuryawai Mahfud Ade Purwanto Marthamillenia, Dea Mashuri, Kahar Moch Taufik Monica Amanda Muhammad Agung Muhammad Fadelillah Muhammad Khosyi'in Muhammad Qomaruddin Musjafak Assjari, Musjafak Mustafa, Mustafa Mutamar, Rispa Saeful Nandi Warnandi Novianto, Andika Nugraha, Wildan Nugraha, Yohanes Nur Muhammad Syaifuddin Nurmala, Eka Permanarian Somad, Permanarian Pesik, Andream Pranata Poetro, Bagus Satrio Waluyo Pramada, Alfath Dimas Pranata, Wibisana Putra, Anggan deska Raden Abdul Rahman Rahadja, Djadja Rahman, Amin Nur Riansyah, Andi RISMAYANA, FADHILAH NUR RIZKI NOVA DONA Roichatul Jannah Romadhoni, Dita S Santrin Sahputra, Afandi Sam Farisa Chaerul Haviana Sanusi, Winantris Sarifuddin Sarifuddin Saripudin, Asep Sariyulis Seno, Abdi Sholihah, Wiwiet Purwitawati Siregar, Muhammad Sapril Siska, , Syafni Yelvi Siskia, Syafni Yelvi Sofia Murtiani Sukahir, Sukahir Sulistiana, Oktavera sultan Sultan Sultan Sunardi Sunardi Sunaryo Sunaryo Suriadi Suriadi Susilah, Ira Syamsul Arifin Syukri, Mohammad T. M. Jamil Taharuddin Toni Prahasto Vergiawan Alfiansyah W.P, Bagus Satrio Wahyudi Saputra Wardaya, Linggar Alfithna Wijaya, Kukuh Wirahadi Winarti, Weni Yeti Komalasari Yulida, Dea Yuniar, Dwi Candra Zainal Arifin