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All Journal Jurnal Ilmu Pendidikan CommIT (Communication & Information Technology) Journal of Food and Life Sciences Journal of Innovation and Applied Technology Journal of Environmental Engineering and Sustainable Technology Jurnal Teknologi Informasi dan Ilmu Komputer AGRIVITA, Journal of Agricultural Science Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) JINOP (Jurnal Inovasi Pembelajaran) Premiere Educandum Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Pendas : Jurnah Ilmiah Pendidikan Dasar Journal of Education Technology Jurnal Ilmiah Sekolah Dasar Istawa: Jurnal Pendidikan Islam UPEJ Unnes Physics Education Journal AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Journal of Research and Educational Research Evaluation Pendagogia: Jurnal Pendidikan Dasar Cendikia Pendidikan Advances In Social Humanities Research JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
Candra Dewi
Fakultas Ilmu Komputer, Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Pengembangan Sistem Informasi Pengelolaan dan Peramalan Barang Menggunakan Metode Weighted Moving Average di Toko Welfa Sijunjung Muhammad Prabu Sutomo; Agi Putra Kharisma; Candra Dewi
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 process of managing the goods at Welfa Sijunjung Store is everything that is related to many things. Process of managing goods at Welfa Stores include the sale of goods, data collection of goods, incoming goods, outgoing goods, and recording of consumer cash supplies. There are problems that are ineffective and inefficient in the process of managing goods at Welfa Sijunjung Shop because the management process is still carried out manually and conventionally. Data storage of incoming and outgoing goods, storing consumer cashbase data that is stored manually and only uses paper makes it very possible to lose or damage. The stock of goods in Welfa Stores is often left over and requires good forecasting of goods so that there is no accumulation of stock. In this study, a management and forecasting system for goods was developed which is expected to be able to handle the problems of managing goods at the Welfa Sijunjung Store. The system must be able to run on multiple browsers because this system is made web-based. In its development, this system uses the development of the waterfall model. In this study there are several stages, the first is to identify the problem, then study the literature, then carry out requirements engineering, design, implement, after implementation will be tested, after completion of testing the next stage is drawing conclusions and also suggestions. In this study there is a Weighted Moving Average method to forecast the stock of goods to be sold in the next period. This system was tested using unit testing and got valid results in 3 test cases, for validation testing getting valid results for 21 functionals tested, testing methods getting MAD results of 2.3, MSE of 7.9 and MAPE of 20.1 %.
Sistem Pendukung Keputusan Perbaikan Jalan menggunakan Metode Fuzzy Multi Atribute Decision Making (FMADM) dan Simple Additive Weighting (SAW) (Studi Kasus : Dinas Pekerjaan Umum Bina Marga dan Sumber Daya Air Kabupaten Jember) Guntur Syafiqi Adidarmawan; Muhammad Tanzil Furqon; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Road repairs have been planned by Dinas Pekerjaan Umum Bina Marga dan SDA Kabupaten Jember by repairing 50 roads in the Jember City area. This road repair is carried out to increase the quality of roads with good condition to 70 percent from 61.88 percent. In the process of determining which roads will be repaired, there are difficulties encountered. There are many factors that need to be considered, so that it requires accuracy in decision making. This study aims to implement the FMADM and SAW methods in a decision support system to determine the priority ranking of roads that need improvement. In addition to implementing the algorithm and knowing its accuracy, this study also aims to determine how sensitive the criteria are. Based on research results, the accuracy results were 88 percent in the first scenario and 60 percent in the second scenario, and get a coefficient value of 0.470 on the Spearman Rank Correlation test. The results of the sensitivity test using 9 criteria were 92.11 percent. From the test, the criteria for moderate road conditions are the criteria that have the highest sensitivity by producing 99 ranking changes and the criteria for lightly damaged road conditions are the criteria with the lowest sensitivity with 72 ranking changes.
Pengelompokan Film Berdasarkan Alur Cerita menggunakan Metode Self Organizing Maps dan Silhouette Coefficient Wilis Biro Syamhuri; Muhammad Tanzil Furqon; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 12 (2022): Desember 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Movie is one of the most popular entertainment media around the world by presenting interesting audio and visuals. Now movies can be easily accessed via streaming service provider sites or applications, even with mobile devices. The site or application that provides movie streaming service has one simple but very useful feature namely movie grouping, which are generally based on genre, year, rating, country of origin, and others. Each movie has its own unique plot or storyline, but there are several movies that have similar plots in some parts. Regardless of the same genre, sometimes there are movies that have different plots. Vice versa, there are movies with different genres but have similarities in plots. On the basis of these problems, this research grouped movies based on similarities in plots. Grouping is done using the Self Organizing Maps clustering method. After that, the results of the clustered movies were evaluated using the Silhouette Coefficient method. A total of 800 movies were successfully grouped into 25 clusters with the highest evaluation result of 0.175. One out of twenty-five clusters has the highest local evaluation score of 0.714. The results of this evaluation indicate that grouping movies based on plots is still not fully effective because only one out of twenty-five clusters produces an evaluation value in the "strong structure" category.
Perancangan Pengalaman Pengguna pada Aplikasi Pemesanan Jadwal Potong Rambut Barbershop di Kota Gresik dengan menggunakan Metode Human-Centered Design Muhammad Misbachul Asrori; Agi Putra Kharisma; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 1 (2023): Januari 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Barbershop conditions in the city of Gresik are crowded with customers and cause queues to pile up. The services offered by the barbershop are not optimal, because when you want to cut, you have to convey it to the barber to do the queue. Therefore, the captain is prone to incorrectly calling the queue. The research produced a user experience application design for ordering haircut tables in Gresik City to reduce the number of queues. The research method uses Human Centered Design (HCD) with the stages of user context analysis, user needs analysis, solution design and solution design evaluation. In the solution design evaluation stage, usability tests and user experience questionnaire (UEQ) tests were conducted on 10 clients and 3 supervisors. Customer test results Effectiveness side 88% Efficiency side 0.162 Goals/second Satisfaction side 77 Good category on rating scale B. Administrator test results Effectiveness side 80% Efficiency side 0.136 goals/second Satisfaction side 80 Good category on rating scale B. Customer UEQ score for the attractiveness aspect received a very good category, the aspects of sharpness, efficiency, reliability and motivation received a good category, and the novelty side received an above average category. UEQ management scores for aspects of Attractiveness, Insight, Competence, Motivation, and Novelty get the Good category. The reliability aspect gets a class above average. These results indicate that the solution design is acceptable with a good usability score and a positive user experience with scores in each aspect above average.
Klasifikasi Bidang Keunggulan Mahasiswa menggunakan Metode Backpropagation dan Seleksi Fitur Information Gain (Studi Kasus : Departemen Teknik Informatika Universitas Brawijaya) Edo Ergi Prayogo; Indriati Indriati; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 1 (2023): Januari 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The field of excellence of students is a skill that can be possessed by students after completing their college years, especially for students of Informatics Engineering at Brawijaya University. To uncover this potential for excellence, there is a learning system that focuses on students taking certain elective courses that are still close in terms of the study materials suitable for their interests and abilities. The goal is to make Informatics Engineering students have the desired graduate profile. The large number of choices for fields of excellence makes students confused about determining the appropriate field of excellence. To help students determine this field of excellence, the author chose to use the Backpropagation Classification Method and the Information Gain Feature Selection. Testing was conducted a total of 5 times, and then averaged. The testing used begins with K-Fold Cross Validation to test the stability of the dataset, by dividing the data into 5 random Folds and then finding the Fold with the best evaluation value. Subsequently, testing is carried out on the Learning Rate and Hidden Neuron parameters, with the final test being feature selection. The best testing parameters are a learning rate of 0.1, 20 hidden neurons, and 100% features without any features being removed. The results of the testing obtained are an average accuracy of 86.34%, precision of 87.95%, recall of 86.69%, and f-measure of 87.12%. The results obtained show that the Backpropagation Method can be used to classify the field of excellence of Informatics Engineering students, but the use of the Information Gain feature selection does not provide an improvement in the evaluation value obtained.
Developing Digital Comics as Character Learning Media for Elementary School Students Rohmanurmeta, Fauzatul Ma’rufah; Dewi, Candra
Jurnal Ilmu Pendidikan Vol 26, No 2 (2020): December
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um048v26i2p47-53

Abstract

Students are expected to learn and conserve the natural environment. Therefore, it is necessary to integrate technology with character values in the form of developing digital comics for environmental preservation based on character values. This study was designed to develop digital comic learning media for environmental preservation based on character values by using of ADDIE development model. were collected using both qualitative and quantitative approaches. Qualitative data were in the form of suggestions, criticisms, responses, and input as described in the questionnaire from the expert judgment. Meanwhile, quantitative data included in the form of percentage values from expert judgment questionnaires arranged on a multilevel scale. Observation, interviews, questionnaires, and tests were used to gather the data. The findings of this study suggested that materials appropriateness and student learning achievement exceed the minimum criteria value set previously. These results show that digital comic learning media based on the character values in integrative thematic learning are declared very feasible and ready to be implemented in integrative thematic learning.
Optimasi Extreme Learning Machine dengan Particle Swarm Optimization untuk Memprediksi Curah Hujan (Studi Kasus: Stasiun Meteorologi Ahmad Yani Semarang) Iftinan, Salsa Nabila; Dewi, Candra; Muflikhah, Lailil
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 9 (2023): September 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hujan ekstrem dapat menimbulkan berbagai pengaruh terhadap kehidupan masyarakat, diantaranya yakni banjir serta pasang naik air laut. Kota Semarang yaitu daerah yang dilintasi jalur pantura yang kerap mengalami banjir pada waktu musim hujan. Intensitas (besaran) curah hujan yang tinggi serta sebagian daerah adalah daerah rob yang mengakibatkan daerah ini akan tergenang banjir ketika pasang naik air laut. Sistem prediksi kelas curah hujan dibutuhkan sehingga dapat dilakukan tindakan antisipatif serta meminimalkan pengaruh yang dapat terjadi. Metode gabungan ELM-PSO akan diaplikasikan untuk memprediksi kelas curah hujan. Metode ELM dianggap mampu memberikan kecepatan waktu eksekusi, namun kekurangan yang dimiliki metode ini yaitu mungkin terdapat satu set input weight serta bias yang kurang baik dan menjadikan nilai akurasi tidak selalu tinggi. Metode optimasi PSO akan diterapkan guna memperoleh input weight serta bias yang paling baik. Kombinasi parameter-parameter optimal yang diperoleh yaitu ukuran populasi sejumlah 50, banyak iterasi 50, bobot inersia dengan nilai 0.9, c1 = 1, c2 = 1.5 serta 8 banyak neuron di hidden layer. Hasil rata-rata nilai akurasi dengan penggunaan ELM dan ELM-PSO secara berurutan yakni 57,51% dan 59,83%.
Sistem Pendukung Keputusan Rekomendasi Kedai Kopi Sudimoro menggunakan Metode Weighted Product Yudistira, Indrajati; Santoso, Edy; Dewi, Candra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 9 (2023): September 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Penelitian ini bertujuan untuk mengembangkan sistem yang dapat memberikan rekomendasi terhadap kedai kopi di distrik sudimoro dengan metode hitung Weigted Product. Penelitian ini dilatar belakangi oleh berkembangnya kedai kopi diKota Malang dengan sangat pesat dan Kota Malang yang menjadi tujuan studi bagi Mahasiswa dan calon Mahasiswa. Serta sulitnya menemukan kedai kopi yang tepat bagi mahasiswa untuk mengerjakan tugas karena banyak jenis kedai dengan fasilitas dan keunikannya masing-masing. Data yang digunakan pada skripsi ini diambil langsung dari lapangan dan data yang digunakan merupakan nama kedai kopi yang terdapat di Distrik Sudimoro Kota Malang. Sistem dibangun menggunakan Bahasa Hypertext Preprocessor dengan masukan dari sistem yang dibangun ini berupa daftar nama kedai kopi sebagai alternatif beserta kriteria berupa fasilitas, harga dan Review Google. Keluaran berupa tabel yang menampilkan tabel bobot, vektor W, vektor S, vektor V serta tabel pengurutan dengan melihat nilai dari vektor V yang paling mendekati angka satu merupakan rekomendasi.
Deteksi Pisang dengan Kematangan Secara Kimia Menggunakan Convolutional Neural Network Fenori, Muhammad Dajuma; Dewi, Candra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 8 No 13 (2024): Publikasi Khusus Tahun 2024
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Naskah ini akan di terbitkan di Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK)
Eksperimen Penerapan Desain Soft Boundary, Hard Boundary, dan Hide Non-Essential Information Aplikasi Access by KAI Phutpitasari, Rosa Devi; Kharisma, Agi; Dewi, Candra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 8 No 5 (2024): Mei 2024
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Aplikasi Access by KAI adalah salah satu aplikasi e-ticketing yag menjadi solusi paktis yang dapat meningkatkan efisiensi dan aksesibilitas yang tinggi dalam pola kehidupan sosial ekonomi. Berdasarkan data yang dikumpulakn dari Google Play, aplikasi Access by KAI memiliki rating 184,961 ulasan yang sebagian besar keluhan dari pengguna terkait dengan penjadwalan tiket seperti harga yang tertampil bukan harga pasti, seat kosong ditampilkan secara bersamaan, penampilan seat kelas harus di dropdown terlebih dahuluagar tertampil tiket secara keseluruhan. Dari permasalahan yang ditemukan, peneliti memiliki hipotesis awal yang dapat meningkatkan usability dengan menerapkan desain soft boundary, hard boundary, dan hide non-essential information. Melalui pengujian usability testing dengan melakukan pengujian signifikan atau uji beda dengan paired sample t-test kepada 10 orang mahasiswa FILKOM UB yang dibagi secara acak menjadi 2 grup untuk menentukan urutan pengujian. Hasilnya menunjukkan bahwa tidak ada perbedaan task time eksperimen soft boundary dan hard boundary (p=0.35751394), terdapat perbedaan task time eksperimen hide non-essential information (p=0.012037314), tidak terdapat perbedaan kemudahan eksperimen soft boundary dan hard boundary (p=1), dan tidak terdapat perbedaan kemudahan eksperimen hide non-essetial information (p=0.422571628).
Co-Authors Abdul Fatih Achmad Yusuf Adam Sulthoni Akbar Adinugroho, Sigit Aditya Chandra Nurhakim Aditya Septadaya Adiyasa, Bhisma Afrialdy, Firman Aghata Agung Dwi Kusuma Wibowo Agi Putra Kharisma Agus Wahyu Widodo Ahmad Afif Supianto Ahmad Afif Supianto Ahmada Bastomi Wijaya Akmal Subakti Wicaksana Alan Primandana Almasyhur, Muhammad Bin Djafar Amalia Luhung Amita Tri Prasasti, Pinkan Anang Tri Wiratno Andhika Satria Pria Anugerah Anggita Mahardika Ani Budi Astuti Ani Rusilowati Anim Rofi'ah Annisa Puspitawuri Annisa Salamah Rahmadhani Arbawa, Yoke Kusuma Aria Bayu Elfajar Arief Andy Soebroto Arjunani, Rusmalistia Intan Ayuri Alfarianti Azhari, Muhammad Rizqi Azizul Hanifah Hadi Barik Kresna Amijaya Bayu Rahayudi Brillian Aristyo Rahadian Budi Astuti Budi Darma Setiawan Chelsa Farah Virkhansa Daneswara Jauhari Daneswara Jauhari, Daneswara Dany Primanita Kartikasari Dennes Nur Dwi Iriantoro Deo Hernando Desy Wulandari Dewanti, Amalya Trisuci Diajeng Tania Ananda Paramitha Dian Eka Ratnawati Dloifur Rohman Alghifari Dwi Fitriani Dwi Novi Setiawan Dwi, Endah Dyang Falila Pramesti Edo Ergi Prayogo Edy Santoso Edy Santoso Erik Aditia Ismaya Eriq Muh. Adams Jonemaro Falih Gozi Febrinanto Faris Febrianto Febri Ramadhani Fenori, Muhammad Dajuma Feri Angga Saputra Fianti Fianti, Fianti Fitri Anggarsari Fitriana, Rosita Nur Fitriani , Dwi Fitriani, Delvi Guntur Syafiqi Adidarmawan Himawan, Alfian Iftinan, Salsa Nabila Ikhwanul Kiram, Muh Zaqi Ilham Harazki Imam Cholisoddin Imam Cholissodin Imam Cholissodin Indah Lestari, Indah Indah Wahyuning Ati Indah, Yuliana Indra Eka Mandriana Indriati Indriati Indriati Indriati Indriati, Indriati - Iqbal Santoso Putra Iskarimah Hidayatin JANAH, NURUL Jumadi Jumadi Khairiyyah Nur Aisyah Kharisma, Agi Krisyanto, Edy Kurnianingtyas, Diva Kurniawan, I Gede Jayadi Kusumawardani, Septyana Dwi Lailil Muflikah Lailil Muflikhah Maharani Tri Hastuti Mardji Mardji Marinda Ika Dewi Sakariana Marinda, Vira Marwa Mudrikatussalamah Maulan, Erika Maulana Putra Pambudi Maulida, Farida Mochammad Tanzil Furqon Mohammad Nuh Mohammad Setya Adi Fauzi Muh Arif Rahman Muhammad Ihsan Diputra Muhammad Misbachul Asrori Muhammad Noor Taufiq Muhammad Prabu Sutomo Muhammad Riduan Indra Hariwijaya Muhammad Tanzil Furqon Muhja Mufidah Afaf Amirah Muhyidin Ubaiddillah Mukh. Mart Hans Luber Nabila Arief Nadia Artha Dewi Naily Zakiyatil Ilahiyah Naniek Kusumawati Nazzun Hanif Ahsani Nirzha Maulidya Ashar Nooriza Fariha Rumagutawan Noval Dini Maulana Novanto Yudistira Nur Hidayat Nur Sa'diyah Nurhidayati Desiani Nurul Faridah, Nurul Nurul Hidayat Nuryatman, Pamelia Nuzula, Nila Firdauzi Pande Made Rai Raditya Phutpitasari, Rosa Devi Pupung Adi Prasetyo Putra Pandu Adikara Putri Aprilia Putu Gede Pakusadewa Rachmalia Dewi Rahma Juwita Sany Randy Cahya Wihandika Ratih Kartika Dewi Rayhan Tsani Putra Reiza Adi Cahya Reza Wahyu Wardani Rifan, Mohamad Rina Christanti, Rina Rizal Setya Perdana Rizal, Moch. Khabibur Robih Dini Rohmah, Yushinta Lailatul Rohmanurmeta, Fauzatul Ma’rufah Rokky Septian Suhartanto Romlah Tantiati Rosyita, Elyana Santoso, Allegra Santoso, Andri Saputra, Rendi Ramadani Saputro, Rinaldi Eko Saputro Sekar Dwi Ardianti Selle, Nurfatima Selvi Marcellia Setya Perdana, Rizal Sigit Pangestu Siti Nurjanah Siti Nurlaela Sundari, Suci Sunyoto Eko Nugroho, Sunyoto Eko Susenohaji, Susenohaji Sutrisno . Syarif, Adnan Tirana Noor Fatyanosa, Tirana Noor Ulfah Mutmainnah Veni, Silvia Wahyu, Dwi Wayan Firdaus Mahmudy Werdha Wilubertha Himawati, Werdha Wilubertha Wiandono Saputro Wilis Biro Syamhuri Wiratama Paramasatya Yasin, Patbessani Septani Firman Yessica Inggir Febiola Yosua Christopher Sitanggang Yudha Eka Permana Yudistira, Indrajati Yuita Arum Sari Yulia Trianandi Yulian Ekananta Yusi Tyroni Mursityo Zulhan, Galang