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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 International Journal of Engineering, Science and Information Technology J-Intech (Journal of Information and Technology)
Arief Andy Soebroto
Universitas Brawijaya
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer

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Pengembangan Sistem Manajemen Permintaan Pelayanan dan Aduan Karyawan (Studi Kasus: Fakultas Ekonomi dan Bisnis Universitas Brawijaya) Reynald Daffa Pahlevi; Faizatul Amalia; Arief Andy Soebroto
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

Providing the best service is a priority for the Faculty of Economics and Business Universitas Brawijaya (FEB UB) to give a comfortable and safe impression. If there are services provided that are not in accordance with the services that should be provided, both lecturers, educational staff and FEB UB guests can submit complaints through Whatsapp social media which is managed by the operator and admin. After the complaint is received by the operator or admin, the complaint is filtered according to the complaint category and then forwarded to the Whatsapp group according to the complaint category. This process has a flow that is quite complicated and takes a long time. Besides that, the submitted complaints are not kept by FEB UB, where complaints can be used as evaluation materials in each semester to improve better service. From the existing problems, a system development was carried out to manage service requests and employee complaints. The development of this system uses the Prototyping method. The process in system development starts from the stage of literature study, needs analysis, design, implementation, and testing. The results of the needs analysis were carried out in 2 iterations at the prototyping stage, there were 7 actors, 35 functional needs, and 1 non-functional requirement. The system was developed using the Javascript programming language using the Express.js framework and Bootstrap. Testing uses unit testing and integration with 100% results for all tested test cases and testing using validation testing with 100% pass results. While testing compatibility, the functionality contained in the system can be run on all browsers but still has some issues with the appearance and performance of the system.
Maximum Power Point Tracking (MPPT) pada Panel Surya dalam Kondisi Berbayang Sebagian dengan Particle Swarm Optimization (PSO) Muhammad Rois Al Haqq; Imam Cholissodin; Arief Andy Soebroto
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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Photovoltaic (PV) array under partial shade condition due to clouds or the shadow of buildings will make PV array get uneven irradiation. PV array with uneven irradiation will form multiple peaks on characteristic curve and will make the characteristic curve complex. In under partial shade condition, the conventional maximum power point tracking (MPPT) method can't reach to global MPP. MPPT based on meta-heuristic method can solve the PV characteristic curve problem that have multiple peaks. One of the meta-heuristic methods that can be used is Particle Swarm Optimization (PSO). The PSO method is used to solve the problem of the global maximum power under partial shade condition. The PV system consist of PV array, boost converter and MPPT implemented in MATLAB/Simulink. Experiments were carried out on 3 possible shadow patterns on 5 series connected moduls. The experimental results shows that overall MPPT PSO obtained an average tracking efficiency of 99,4275% with an average tracking time of 1.04 seconds. MPPT PSO can track the maximum power under partial shade condition.
Sistem Pakar Diagnosis Penyakit Leukimia dengan Metode Fuzzy Tsukamoto Stefan Levianto; 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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Abstract

Leukemia or what we usually call blood cancer is cancer that attacks white blood cells. The healing method which is still being debated in the medical world and the difficulty in preventing this disease, makes this disease a deadly cancer. Lack of experts and information about leukemia often results in delays in diagnosing leukemia. The high cost of medical treatment by doctors has made many people try alternative treatments, which are relatively more affordable. However, even alternative medicine does not ensure a cure for the patient, which in turn requires the patient to be taken to the hospital again and in most cases the cancer has reached an advanced stage. Based on these problems the authors conclude and raise a problem into an expert system study to diagnose leukemia which is expected to help sufferers and doctors in need. The expert system for diagnosing leukemia which is made using the Fuzzy Tsukamoto method based on 100 patient training data with 10 attributes, has been tested with expert diagnosis having a success rate of 90%. The difference in the results of system diagnosis with experts from 30 test data is 3 data so that there are 27 correct data from 30 test data.
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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Abstract

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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Abstract

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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Abstract

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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Abstract

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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Abstract

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.
Co-Authors Achmad Arwan Achmad Ridok Adam Hendra Brata Ade Wija Nugraha Adi Setyo Nugroho Admaja Dwi Herlambang Agi Putra Kharisma Agi Putra Kharisma, Agi Putra 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 Lily Montarcih Limantara Mahdi Fiqia Hafis Maria Tenika Frestantiya Maria Tenika Frestantiya, Maria Tenika Maya Febrianita Moh. Sholichin 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