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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Innovation and Applied Technology Journal of Environmental Engineering and Sustainable Technology Jurnal Teknologi Informasi dan Ilmu Komputer Habitat Jurnal Edukasi dan Penelitian Informatika (JEPIN) SMATIKA Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer JAST : Jurnal Aplikasi Sains dan Teknologi J-Intech (Journal of Information and Technology)
Arief Andy Soebroto
Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Mechanical Engineering Other

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Pengembangan Sistem Informasi Penjualan Sayuran berbasis Web dengan menggunakan Metode Waterfall Studi Kasus : (Agro Techno Park Universitas Brawijaya) Riski Ida Agustiyan; Imam Cholissodin; Arief Andy Soebroto
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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Agro Techno Park is a place for the development of agricultural products that are managed for agricultural entrepreneurship and a place for agricultural technology services. the purpose of the Agro Techno Park is as a center for the application of technology in agriculture, fisheries, and animal husbandry. One example of an Agro Techno Park located in East Java is owned by Brawijaya University which is located in Cangar and Jatikerto. In the marketing of Agro Techno Park products, UB still uses the manual method, namely by marketing products through the social network WhatsApp. By using this method, Agro Techo Park UB faces certain difficulties when receiving orders from customers. Because customers sometimes order products at the time of delivery, Agro Techno Park UB will come back again to take orders that have been added. In this case, of course, it takes a lot of time to make buying and selling transactions. People don't even know that Agro Tecno Park UB's vegetable products can be sold with quality vegetables. To solve this problem, the authors developed a Vegetable Sales Information System in Agro Techno Park UB. This system was developed to facilitate buying and selling transactions at Agro Techno Park UB and to expand the marketing segment of the vegetable products being sold. System development is carried out on a-based website and using the model waterfall using theprogramming PHP language on the Laravel framework. The system will be tested using the method white box, black box, integration testing, validation testing, and compatibility testing.
Sistem Pakar Sistem Pakar untuk Deteksi Dini Tingkat Depresi Mahasiswa menggunakan Metode Support Vector Machine (Studi Kasus: Fakultas Ilmu Komputer Universitas Brawijaya) Teddy Syach Pratama; Arief Andy Soebroto
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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A student is someone who has been attending one of the highest educational institutions for some time. Students have several levels, namely the beginning and the final level. Where the final level is a step to prepare yourself to compile a thesis or final assignment as a condition of graduation becomes one of the toughest obstacles. In several studies conducted in 2019 at one of the universities, 15 students with an average age of 21 partially had mild depression rates of (51.7%), moderate (41.4%), there were 2 high-level depressed students (Mir et al., 2019). As a final-level student depression is a disease that can affect all final students including students instead of the end level. Therefore, depression in students must be treated quickly and appropriately. However, the obstacles to handling require experts or psychologists, plus the lack of people who understand about mental disorders in students. Therefore, a system is needed that can detect early levels of depression in students to be able to stop more serious problems. The study will implement an expert system for early detection of student depression levels using the Support Vector Machine method with a web-based kernel-RBF. . Using 257 data in his tests obtained an average accuracy value of 90.6% and a precision value of 87.8%, recall 83.2%, f1-score 85% and obtained the best SVM parameter value at the value of complexity (C) = 2, gamma (y) = 0.1, and Maxiteration = 1000 with a data ratio of 70%:30%. With good accuracy scores, this study can be implemented to help expert system for early detection of student depression levels using the Support Vector Machine Method.
Sistem Pakar untuk Diagnosis Penyakit Ayam menggunakan Metode Certainty Factor (Studi Kasus: Balai Besar Pelatihan Peternakan Batu) Ishak Panangian Sinaga; Arief Andy Soebroto; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Chickens are livestock that are mostly kept by the people of Indonesia, both kept in small quantities to large numbers which are developed in large-scale chicken farms. The choice of people to choose to raise chickens is none other than due to easy maintenance, high public consumption, so that raising chickens is a promising source of income. However, chicken farming itself is very at risk of experiencing a cycle of losses as happened in 2020 where there is a mass transmission of chicken diseases. This mass transmission of chicken disease occurs due to various factors. To overcome this problem, chicken farmers usually consult with experts but for this sector the number of experts is still small so the community really needs the presence of experts to help deal with this problem. To solve this problem, an expert system for diagnosis of chicken disease was built where the expert system is a computer program designed to model the problem solving ability of an expert. The application of this expert system will make it easier for chicken farmers to diagnose disease and treat the same as experts. This expert system is implemented with the Certainty Factor method where this method will provide as accurate results as possible because the certainty value obtained from the expert will always be maintained stable due to calculations To find the certainty value, only two data are used. The application of the Certainty Factor method to the expert system has several stages, from getting the MB and MD values, performing operations according to the Certainty Factor equation to get the CF value and to get the combined CF value using the combined CF equation.
Implementasi Metode Analytical Hierarchy Process (AHP) - Weighted Product (WP) dalam Sistem Pendukung Keputusan untuk Rekomendasi Pelanggan Terbaik berbasis Website (Studi Kasus: PT. Pelabuhan Indonesia IV (Persero) Makassar) Niftah Fatiha Armin; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At PT. Pelabuhan Indonesia IV, of course, there are customers who cooperate and become company partners. Customers who have contributed positively to the growth and progress of the company will have the opportunity to get an award as the best customer. A customer can be said to contribute positively by remaining a partner of the company. With this award, customers can be more enthusiastic to continue using the services of PT. Indonesian Port IV. Including in the economic sector, without customers, economic growth in remote areas will be less developed because one of the biggest modes of transportation is using ships or containers. In determining the best customer PT. Port of Indonesia IV is still using a manual process. This is an obstacle for PT Pelabuhan Indonesia IV Makassar. Therefore, to get the best client advice at PT. Pelabuhan Indonesia IV Makassar, thea researcher's decision on thea grounds that the AHP-WP technique is the right technique to be run into a system that supports it in accordancea with the consideration of the consistency of the evalauation results that have been carried out by looking at the existing variables. Solving the problem in this research is by implementing the Analytical Hierarchy Process (AHP) - Weighted product (WP) technique to get the best client advice at PT. Port of Indonesia IV Makassar. Based on the application of the AHP - WP methoad obtained from the system, it can be declared valid. The accuracy results of 80% obtained from accuracy testing with the results of the questionnaire as many as 8 respondents who have accurate results on thle Analytical Hierarchy Process methodi.
Prediksi Laju Kasus Positif Harian COVID-19 di Sumatera Utara menggunakan Metode Extreme Learning Machine (ELM) Mutia Ayu Sabrina; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Dipublikasikan di ILKOM UMI Makasar
Klasifikasi Buku Perpustakaan menggunakan Metode Naive Bayes Risda Nur Ainum; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Each library has book data that is stored and then developed to make it easier to classify the data Borong State Elementary School. This library stores book data that is managed. Data mining is for method that can be used is Naive Bayes where this method will be used to develop library books. This research is focused on knowing the library information system and classified in the category of types of books. From this classification, the system will provide information to students who will borrow books the categories available in the library. The input of this system is data regarding information. Variable used is type book that is often borrowed. Data mining technique algorithm tableas basis for book classification process. The input data will be processed using the data mining technique of the Naive Bayes Classifier (NBC) algorithm to form a probability tableas basis for the book classification process. In the form a library performance classification that predicts the of books and provides recommendations for the process of borrowing books in a timely manner. Factors classification library information are book publishers, book authors and year of publication. Library manager. Testing on library data 100% with a high level of accuracy category.
Optimasi Jadwal Pembelajaran Sekolah menggunakan Metode Hybrid Cat Swarm Optimization (Studi Kasus: SD Muhammadiyah 2 Denpasar) I Gede Adi Brahman Nugraha; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Educational Timetable are the main administrative activity for various institutions. In this study, the researcher will concentrate on the problem of school timetabling. School timetabling at SD Muhammadiyah 2 Denpasar is made every new school academic year. In this study, a system was created that can perform school scheduling using the hybrid cat swarm optimization method in optimizing school timetable. The performance of the hybrid cat swarm optimization algorithm, it shows that the average fitness value shows the best results on the number of cats of 10, CSO iterations of 750, and LSRP iterations of 500 with a fitness value of 104,243. Timetabling using system is able to obtain school timetable without any teacher clashes.
Penerapan Metode ELimination Et Choix Traduisant la REalite (ELECTRE) dan Weighted Product (WP) pada Sistem Pendukung Keputusan Deteksi Dini Penyakit Stroke Karmia Larissa Br Pandia; Arief Andy Soebroto; Eko Arisetijono Marhaendraputro
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stroke is a sudden brain disorder caused by vascular disorders and can cause death that lasts for 24 hours or more. According to the WHO report in 1999, stroke was ranked second in the world in the highest mortality rate. In Indonesia, according to Riskesdas data from the Indonesian Ministry of Health, there was an increase in the probability of having a stroke by 8.3 per mile in 2007 to 12.1 per mile in 2013. This is evidence that there has been an increase in the number of stroke patients in Indonesia from the year 2013. from year to year, the Government has not found a solution to prevent stroke. Stroke is a disease that must be treated quickly because it can cause disability or death. Therefore, the problem of stroke requires a system that makes it easier for a health expert to detect stroke risk so that it can reduce the number of stroke risk patients. In this system, the ELECTRE method and weighted product are used to detect early risk of stroke because both methods can eliminate patients who are not in accordance with the characteristics and can choose the best alternative and classify stroke patients into high, medium and low categories. Based on the test results comparing the results of detection by the system with the results of manual detection with 30 test data, the accuracy value is 86%.
Peramalan Kasus Positif Harian Covid-19 di Indonesia menggunakan Metode Extreme Learning Machine (ELM) dengan Optimasi Whale Optimization Algorithm (WOA) Herman Syantoso; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Dipublikasikan di ILKOM Jurnal Ilmiah
Prediksi Omzet Penjualan Jersey menggunakan Metode Regresi Linier (Studi Kasus CV. Quattro Project Bululawang) Raymond Gunito Farandy Junior; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 10 (2022): Oktober 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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The benefits of the jersey in the game of football are not just ordinary clothes, but as a shirt specially designed for the convenience of players. Attributes such as jersey color and back number as distinguishing information from other players. If in the game of football, the function of the jersey and attributes such as shirts, flags, colors, and jersey numbers is as a differentiator with the opponent, precisely as fans use these shirts and attributes as identity. CV. Quattro Project is one of the jersey manufacturing companies engaged in the production and procurement of sportswear. To maintain business detail and make plans for the following months then CV. Quattro Proect requires a method that can predict turnover in the next month, in this study the method used is linear regression and the data used is the turnover history data for the past year. From the tests that have been carried out almost every test, it produces the largest MAPE when used to predict turnover in November 2021, MAPE is very large because there is a significant decrease in turnover from October to November. However, overall the resulting average is good because the MAPE is only 10.23201. that means Linear Regression is a pretty good method used to do turnover predictions especially in businesses whose turnover tends to be stable.
Co-Authors Achmad Arwan Achmad Ridok Adam Hendra Brata Ade Wija Nugraha Adi Setyo Nugroho Admaja Dwi Herlambang Agi Putra Kharisma Agus Wahyu Widodo, Agus Wahyu Ahmad Afif Supianto Ahmad Mustafirudin Ahmad Shofi Nurur Rizal Aizul Faiz Iswafaza Alfarisi, Muhammad Asnin Ali Akbar Alysha Ghea Arliana Amira Ibtisama Ana Kusuma Ardani Andreas Tommy Christiawan Andri Wijaya Kusuma Asrul Syawal Asrul, Divanda Arya Inasta Asus Maizar Suryanto H Austenita Pasca Aisyah Baghaz, Renanda DSP Bambang Gunadi Brilliansyach, Raihan Fikri Caesar, Canny Amerilyse Candra Dewi Candra Dewi Catur Ari Setianto Dama Yuliana Deby Putri Indraswari Denny Sagita Rusdianto Destyana Ellingga Pratiwi Destyana Ellingga Pratiwi Dhea Azahria Mawarni Dian Eka Ratnawati Djoko Pramono Dwi Cindy Herta Turnip Dwi Puri Cemani Dzikrullah, Muhammad Aulia Fachruz Edy Santoso Eka Miyahil Uyun Eko Ari Setijono Marhendraputro Eko Arisetijono Elza Fadli Hadimulyo Enggar Septrinas Enggarsita Auliasin Eugenius Yosep Korsan N Evi Irhamillah Azza Faisal Roufa Rohman Faizatul Amalia Fajar Pradana Fauziah Mayasari Iskandar Febrianita Indah Perwitasari Fendy Yulianto Ferdy Wahyurianto Fildzah Amalia Galuh Mazenda Guruh Prayogi Willis Putra Habib Yafi Ardi Hanafi, Andy Hastian Bayu Hendra Darmawan Herman Syantoso Himawan Sutanto I Gede Adi Brahman Nugraha I Putu Bagus Arya Pradnyana Ibnu, Mohammad Ibrahim Kusuma Imam Cholissodin Imam Cholissodin Imam Cholissodin Imam Cholissodin Imam Cholissodin Indra Ekaristio P Indriana Candra Dewi Indriati Indriati Indriati Indriati Ishak Panangian Sinaga Ismiarta Aknuranda Issa Arwani Issa Arwani Karmia Larissa Br Pandia Khoifah Inda Maula Khrisna Widhi Dewanto Krisna Wahyu Aji Kusuma Lailatul Rizqi Ramadhani Lailil Muflikhah Laode Muhamad Fauzan Latifah Hanum Mahdi Fiqia Hafis Maria Tenika Frestantiya Maria Tenika Frestantiya, Maria Tenika Maya Febrianita Mohammad Imron Maulana Muh. Arif Rahman Muhammad Iqbal Kurniawan Muhammad Rois Al Haqq Muhammad Rouzikin Annur Muhammad Tanzil Furqon Muhammad Taruna Praja Utama Mutia Ayu Sabrina Nadya Rahmasari Nadya Sylviani Nainggolan, Yohana Beatrice Niftah Fatiha Armin Niken Hendrakusma Wardani Nizar Rahman Kusworo Nurannisa, Nadhira Nuriya Fadilah Nurudin Santoso Nurul Faizah Nurul Faridah, Nurul Nurul Hidayat Nurul Hidayat Nurul Hidayat Odhia Yustika Putri Priyambadha, Bayu Randy Cahya Wihandika Raymond Gunito Farandy Junior Rekyan Regasari Restia Dwi Oktavianing Tyas Reynald Daffa Pahlevi Ridwan Fajar Widodo Rio Andika Dwiki Adhi Putra Rio Arifando Risda Nur Ainum Riski Ida Agustiyan Risqi Nur Ifansyah Rivaldy Raihan Syams Rizal Setya Perdana Rizal Setya Perdana Saiful Kirom, Muhammad Ihsan Santoso, Nurudin Sativandi Putra Satrio Agung Wicaksono Sitepu, Yosua Christiansen Stefan Levianto Sukamto, Anjas Pramono Surya Wirawan SUTRISNO Sutrisno Sutrisno Sutrisno, Sutrisno Teddy Syach Pratama Thareq Ibrahim Tiara Rossa Diassananda Tryse Rezza Biantong Vasya, M Azka Obila Vicky Virdus Vivien Fathuroya, Vivien Wayan Firdaus Mahmudy Welly Purnomo Wijaya, Aldi Rahman Wildan Ziaulhaq Wildan Ziaulhaq Wildansyah Maulana Rahmat Yearra Taufan Ardy Rinaldy Yusril Iszha Eginata Zaien Bin Umar Alaydrus Ziya El Arief Ziya El Arief, Ziya El