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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Community Empowerment
Randy Cahya Wihandika
Fakultas Ilmu Komputer , Universitas Brawijaya
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Public Health Social Sciences

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Prediksi Volume Penggunaan Air Bulanan Kota Batu Menggunakan Metode Extreme Learning Machine (ELM) Muhammad Alif Fahrizal; Sigit Adinugroho; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 7 (2021): Juli 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Seiring bertambahnya penduduk, juga selalu beriringan dengan bertambahnya kebutuhan dalam menunjang kehidupan sehari-hari. Salah satu kebutuhan tersebut adalah air. Kota Batu, sebagai kota wisata dengan jumlah penduduk yang menetap selalu berubah-ubah yang menyebabkan volume air yang digunakan juga selalu berubah. Sehingga dari permasalahan tersebut dibutuhkan prediksi volume penggunaan air bulanan pada Kota Batu untuk menyelaraskan dengan volume air yang diproduksi. Dalam penelitian ini dilakukan beberapa proses untuk melakukan prediksi yaitu proses preprocessing pada data yang digunakan, dilanjutkan dengan perhitungan nilai prediksi menggunaan data sebelumnya pada model jaringan Extreme Learning Machine (ELM), dan terakhir dihitung nilai evaluasi hasil prediksi menggunakan Root Mean Squared Error (RMSE). Berdasarkan proses pengujian yang telah dilakukan pada model jaringan ELM, diperoleh rata-rata nilai evaluasi sebesar 16437,5 ketika digunakan 6 input neuron, 5 hidden neuron dan 80%:20% untuk pembagian data latih dan data uji. Dari nilai evaluasi tersebut dianggap belum cukup baik. Hal ini dikarenakan jumlah data yang digunakan dalam proses training pada jaringan ELM masih terlalu sedikit sehingga jaringan tersebut masih belum memahami pola data secara keseluruhan.
Prediksi Penjualan Metal Roof menggunakan Metode Backpropagation (Studi Kasus: PT Comtech Metalindo Terpadu) Vandi Cahya Rachmandika; Muhammad Tanzil Furqon; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 8 (2021): Agustus 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The manufacturing industry in Indonesia has developed rapidly in line with technological developments in Indonesia. The manufacturing industry that has experienced an increase is the printed goods industry. In this research, one of the printed goods industries is PT Comtech Metalindo Terpadu is a metal roof sales industry. PT Comtech Metalindo Terpadu has a problem regulating the supply of metal roof raw materials. In this case, predicting metal roof sales can find out sales at a certain period, so that it can help to regulate raw material inventory or purchase of raw materials. This study uses the Backpropagation method to predict sales of metal roofs, and to evaluate the predictive error value will use the Mean Absolute Precentage Error (MAPE). The smallest MAPE value obtained from this study is 5.76% with the neuron input value 3, the hidden neuron value 100, the initial weight range value in the range -0.5 to 0.5, the learning rate value 0.2, and the epoch value 150.
Pengembangan Sistem Manajemen Pesanan dan Pengiriman Barang pada Perusahaan Perdagangan berbasis Web (Studi Kasus: PT Arista Semesta Alam) Emma Wahyu Sulistianingrum; Denny Sagita Rusdianto; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 9 (2021): September 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The constraints experienced by PT Arista Semesta Alam are currently related to business processes that are still conventional, resulting in losses to the company in terms of time and staff. In addition, it also affects the low growth of consumers, it is feared that this could disrupt business continuity in the future. This conventional business process includes the ordering process, delivery of goods, and delivery evaluation. The Order and Delivery Management System is the right solution because this system facilitates companies to make changes to business processes towards digital so that they can save time and employee energy. This system is based on a website so that it can be accessed by the wider community and is expected to help introduce products to the public so that it can increase consumer growth. The order management system and delivery of goods was developed using the waterfall method which consists of the stages of needs analysis, design, implementation, and testing. The requirements analysis stage obtains the required system requirements. The design phase contains the design of the sequence diagram, the design of the class diagram, the design of the database, the design of the algorithm, and the design of the interface. The implementation of the system uses the Slim 3 framework as a back-end supporter and the AngularJS framework as a front-end supporter. Functional testing is carried out by unit testing, integration testing, and validation testing which results in passed status and 100% valid status. Non-functional testing is carried out with a compatibility testing approach which results in system compatibility in five different browser types.
Perancangan User Experience Aplikasi Pembelajaran Dasar Pemrograman Android Valen Novandi Kanasya; Ratih Kartika Dewi; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 9 (2021): September 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Covid-19 virus pandemic was first announced in Indonesia in March 2020, forcing people to carry out limited activities. One of the activities affected by the pandemic is teaching and learning. Large-Scale Social Restrictions force schools to conduct online learning activities. Of course, this makes children's learning productivity decreases. To deal with these problems, students can learn new things to prepare for their future. One of the things that can be learned is Android programming. In the digital era, Android is very closely related to human life, therefore Android programming can be a new learning activity to increase student productivity. But of course, not all students are familiar with Android programming, therefore a good user experience is needed so that students can learn optimally. In this study, Human Centered Design (HCD) is used as an approach to develop an interactive system that aims to make the system useful and usable by users properly. This research will get the final result in the form of a high-fidelity prototype. Furthermore, the prototype that has been built will be evaluated using the heuristic evaluation method. In the implementation of this evaluation, there are three experts who act as evaluators. After the evaluation, twenty-three usability problems were found.
Klasifikasi Email berdasarkan Tingkat Kepentingannya dengan menggunakan Metode Naive Bayes (Studi Kasus : PT. Green Air Pacific Surabaya) Kevin Nastatur Chatriavandi; Bayu Rahayudi; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 9 (2021): September 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT. Green Air Pacific Surabaya has received an average of 400 - 700 messages per day. So that the incoming email will overlap each other, this can complicate the process of managing email messages that are considered important. This study classifies emails based on their importance using the Naive Bayes method. The word weighting method used is basically TF (Term Frequency) and then normalized to WIDF (Weighted Inverse Document Frequency) weighting. To get a better word index, word weighting is modified by adding word weight if the word is included in the list of predetermined terms. In addition, testing in this study was carried out on the email title, email content and email title with content. From the test results, it was found that the system classifies email data quite well. It can be proven on the highest performance results with an accuracy value of 98,67%, a precision of 100% and an f-measure of 98,99% on the parameters of using email headers, TF weighting, modified TF weighting, and modified WIDF weighting with 240 training data. In addition, the results of testing and data validation using k-fold cross validation also provide an average performance result that is not much different, namely an accuracy value of 95,56%, precision of 93,86% and f-measure of 96,81%..
Pengembangan Aplikasi Manajemen Kelayakan Panen Budidaya Ikan Lele berbasis Website (Studi Kasus : Budidaya Lele Bapak Andri) Yudha Prasetya Anza; Indriati Indriati; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The raising of catfish is urgently needed in agriculture. But there are still many growing countries that still manage by hand by logging on the development books. Of course, such measures are less effective because the likelihood of errors taking considerable time to record. In the proliferation of catfish, there is also a process of harvesting for the purpose of making it easier for the farmers to determine the worthiness of the crop by the established fish criteria. Therefore, the author create a web-based application to tax the feasibility of the catfish breeding crop to help the farmers carry out the feasibility process of harvesting. In the production of this application the author observes and interviews first to the development of the project, followed by the process of analysis of needs, design and implementation and testing. After analysis of needs, functional needs are provided by 28 (twenty-eight). The initiated design phase of architecture design, data design, component design, interface design and implemented using PHP programming language, HTML, JavaScript. The testing phase be done with the whitebox approach and the blackbox approach. Test results show that all functions that have been tested are valuable.
Rekomendasi Aksi Saham dengan Pendekatan Teknikal pada PT Telekomunikasi Indonesia Tbk (TLKM) menggunakan Algoritme Learning Vector Quantization (LVQ) 2.1 Tri Kurniawan Putra; Sigit Adinugroho; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Stocks is a tool for buying or selling transactions in the capital market. In trading, the investor always wants profits that have low risk of failure. Therefore, an analysis is needed to get recommendations that support the stock. The results of the analysis will provide recommendations that can be used by investors to buy shares, wait, or sell their stock. Classification algorithm can used for analysis, one of them is Learning Vector Quantization. The technical approach factors that become parameters in this study consist of opening price, highest price, lowest price, closing price, volume, adj. closed, and the proportion of changes. In this study, the researcher used the Learning Vector Quantization (LVQ) 2.1 algorithm. The process starts with the initialization of data input. Then do the normalization process. Determine the winning network, update its weight and reduce the value of α, until it reaches a certain epoch or value. Tests was performed using several parameters to determine the effect of those parameters on accuracy. The best test was obtained by using training data as much as 175 training data, the value of learning rate is 0.1 and 1000 iteration produced an accuracy value of 63.64%.
Pembangunan Sistem Informasi Rekam Medis Ramdani Skincare & Spa Malang dengan Metode Prototyping berbasis Web Cindy Cunday Cicimby; Denny Sagita Rusdianto; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The medical record information system is a system that facilitates the service, recording and archiving of patient personal data in a health service in order to reduce errors that often occur. Ramdani Skincare & Spa is one of the beauty clinics in Malang City, the management of medical records at this beauty clinic is held by the Admin which includes inputting patient registration data, collecting patient history data and sending reports to the main director. Several problems were found in the medical record management process at Ramdani Skincare & Spa which was done manually using hardcopy, causing ineffective patient data archiving and the absence of continuity of patient visit history. Another problem that arises is that the service process from registration to clinical reporting is very slow, this triggers customer dissatisfaction. From the problems, a web-based application was made so that the management of medical records runsquickly, precisely and accurately. System development at Ramdani Skincare & Spa Malang using the prototyping method. System development includes the stages of needs analysis, implementation, and testing. The requirements analysis stage gets 82 functional requirements obtained from 1 iteration. Implementation stage uses PHP programming language CodeIgniter framework. Testing stages include functional and non-functional testing. Functional testing includes unit testing that successfullly performs a test path basedon 3 test cases and validation testing produces 100% valid from 73 cases. Non-functional testing using compatibility results can be accepted by users and can runwell on the browser.
Pengembangan Aplikasi Inventarisasi Barang dan Perhitungan Gaji berbasis Mobile Web di Kedai Kopipagi Padang Muhamad Ilham Dian Putra; Agi Putra Kharisma; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Aplikasi Inventarisasi Barang dan Perhitungan Gaji adalah sistem yang ditujukan kepada pemilik usaha kedai Kopipagi Padang untuk dapat mempermudah pemilik usaha tersebut dalam melakukan proses inventarisasi dan perhitungan gaji. Pada saat ini kedai Kopipagi hanya melakukan pencatatan barang masuk pada selembar kertas saja dimana dengan cara tersebut data dari barang masuk itu sering hilang, seperti barang yang telah masuk sudah 10 barang dan yang terdata hanya tujuh barang saja dikarenakan tiga barang yang telah masuk catatan nya hilang karna hanya dicatat pada selembar kertas saja dan pada akhir bulan karyawan merasa kesusahan melaporkan apa saja barang masuk kepada owner agar owner mengetahui apa saja barang yang telah masuk Dengan adanya perbedaan gaji pada bidang masing-masing penulis bermaksud untuk memasukkan perhitungan gaji guna mempermudah kedai Kopipagi untuk menghitung gaji karyawan mereka. Sesuai masalah yang disebutkan diatas maka kedai Kopipagi membutuhkan suatu sistem aplikasi inventarisasi barang dan perhitungan gaji untuk meningjatjan efektifitas pengelolaan bahan-bahan mentah dan juga mempermudah dalam perhitungan gaji karyawan pada kedai Kopipagi. Pada Aplikasi ini mengambil studi kasus di Kedai Kopipagi Padang. Pengembangan aplikasi inventarisasi barang dan perhitungan gaji yang di awali dengan analisis hingga pengujian dengan pendekatan object oriented. Pada tahap analisis kebutuhan memperoleh 23 kebutuhan fungsional. Tahap implementasi menggunakan Laravel. Pengujian validasi mendapatkan hasil 100% data valid dari 23 fungsionalitas yang sudah diuji. Pengujian Usability yang dilakukan dengan pengujian skenario dan pengujian System Usability Scale (SUS). Pada pengujian skenario mendapatkan hasil bahwa pengguna tidak merasa kesusahan dalam menggunakan aplikasi ini dan untuk pengujian SUS mendapatkan skor 75 dimana nilai tersebut dapat dikategorikan Good dan masuk pada grade C.
Klasifikasi Pertanyaan COVID-19 Bahasa Indonesia menggunakan Naive Bayes Glenn Jonathan Satria; Putra Pandu Adikara; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Question Answering (QA) is a system that provide answer from question given from user. In QA there is one task called question analysis. Question analysis act as type chooser from query user input. Question analysis can be found with classification. This research using Naive Bayes as classification method. Furthermore, several process used from natural language processing such as question feature extraction and preprocessing contain data cleaning, stemming, stopword removal, and tokenization. Next phase is to build a classification model from training data which contain 16 question categories. Based on test result with 2 scenarios with preprocessing and without preprocessing, we obtained accuracy value of 0,58364 with preprocessing. We also obtained accuracy value of 0,65060 without preprocessing. Application of preprocessing in question classification have a negative impact because it changed the given question context.
Co-Authors Achmad Arwan Achmad Ridok Achmad Yusuf Adam Hendra Brata Adam Sulthoni Akbar Adinugroho, Sigit Aditya Putra Pratama Agi Putra Kharisma Agung Nurjaya Megantara Agus Wahyu Widodo Akhmad Sa'rony Amar Ikhbat Nurulrachman Anang Hanafi Angky Christiawan Rongre Ani Enggarwati Ardisa Tamara Putri Ardiza Dwi Septian Arif Pratama Arynda Kusuma Dewi Barlian Henryranu Prasetio Bayu Kusuma Pradana Bayu Laksana Yudha Bayu Rahayudi Budi Darma Setiawan Budi Dharma Setiawan Candra Dewi Chandra Tio Pasaribu Cindy Cunday Cicimby Cornelius Bagus Purnama Putra Cusen Mosabeth Dani Devito Daris Hadyan Tisantri Denny Sagita Rusdianto Devinta Setyaningtyas Atmaja Dhan Adhillah Mardhika Dhanika Jeihan Aguinta Diajeng Sekar Seruni Dian Eka Ratnawati Dimi Karillah Putra Dito Rizki Pramudeka Dizka Maryam Febri Shanti Dwi Rahayu Eka Putri Nirwandani Emma Wahyu Sulistianingrum Ersya Nadia Candra Fachril Rachma Zulfidar Fachrur Rozy Faizatul Amalia Fajri Eka Saputra Fanny Aulia Dewi Fera Fanesya Fida Dwi Febriani Fikri Hilman Firda Oktaviani Putri Fitra Abdurrachman Bachtiar Frisma Yessy Nabella Gilang Widianto Aldiansyah Glenn Jonathan Satria Gregorius Ivan Sebastian Hafiz Ari Putra Hamim Fathul Aziz Heykhal Hafiddhan Rachman I Gusti Ngurah Ersania Susena Imam Cholissodin Indriati Indriati Irnayanti Dwi Kusuma Jonathan Reynaldo Kevin Haidar Kevin Nastatur Chatriavandi Koko Pradityo Lailil Muflikhah Lalu Muhammad Ivan Natania Latifa Nabila Harfiya M. Rikzal Humam Al Kholili Moh. Dafa Wardana Mohammad Rizky Hidayatullah Muchlas Mughniy Muh. Arif Rahman Muhamad Ilham Dian Putra Muhamad Wahyu Budi Santoso Muhammad Alif Fahrizal Muhammad Amin Nurdin Muhammad Faiz Abdul Hamif Muhammad Ihsan Diputra Muhammad Shidqi Fadlilah Muhammad Tanzil Furqon Muhammad Tegar Kanugroho Naufal Akbar Eginda Nindy Deka Nivani Nova Amynarto Novanto Yudistira Nur Wahyu Ningtyas Nurul Hidayat Nurul Muslimah Pindo Bagus Adiatmaja Pupung Adi Prasetyo Puspita Sari Putra Pandu Adikara Putu Gede Pakusadewa Qurrata Ayuni Raden Rafika Anugrahning Putri Ratih Kartika Dewi Rayindita Siwie Mazayantri Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Rizal Setya Perdana Rizky Nur Ariyanti Ruri Armandhani Sarah Najla Adha Satria Dwi Nugraha Satyawan Agung Nugroho Sema Yuni Fraticasari Sevtyan Eko Pambudi Sigit Adinugroho Siti Robbana Sukma Fardhia Anggraini Supraptoa Supraptoa Sutrisno Sutrisno Tahajuda Mandariansah Threecia Agil Regitasari Tifo Audi Alif Putra Tri Kurniawan Putra Utaminingrum, Fitri Valen Novandi Kanasya Vandi Cahya Rachmandika Winda Cahyaningrum Yosendra Evriyantino Yosua Christopher Sitanggang Yudha Prasetya Anza Yuita Arum Sari Yurdha Fadhila Hernawan