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All Journal Jurnal Ilmu Komputer dan Informasi Techno.Com: Jurnal Teknologi Informasi TEKNOLOGI: Jurnal Ilmiah Sistem Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmu Komputer dan Agri-Informatika EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal Litbang Edusaintech Tri Dharma Mandiri: Diseminasi dan Hilirisasi Riset Kepada Masyarakat (Jurnal Pengabdian Kepada Masyarakat) Kohesi: Jurnal Sains dan Teknologi
Novanto Yudistira
Teknik Informatika, Fakultas Ilmu Komputer, Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Public Health Social Sciences Other

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Perbandingan Metode Naïve Bayes, Support Vector Machine Dan Decision Tree Dalam Klasifikasi Konsumsi Obat Chindy Aulia Sari; Annisa Sukmawati; Rishani Putri Aprilli; Prais Sarah Kayaningtias; Novanto Yudistira
Jurnal Litbang Edusaintech Vol. 3 No. 1 (2022): Volume 3 No 1 2022
Publisher : Litbang PWM Jawa Tengah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51402/jle.v3i1.47

Abstract

Obat adalah suatu bahan yang berisi zat-zat yang berguna untuk mencegah atau menyembuhkan suatu penyakit pada makhluk hidup sehingga terjadi perubahan secara fisiologis atau psikologis selain itu obat psikoaktif merupakan obat yang mempengaruhi mental tetapi kebanyakan obat psikoaktif disalahgunakan untuk hal-hal yang tidak penting bahkan membahayakan. Terdapat banyak jenis obat psikoaktif, diantaranya ada 18 jenis obat-obatan legal maupun ilegal yaitu alcohol, amphetamines, amyl nitrite, benzodiazepine, cannabis, chocolate, cocaine, caffeine, crack, ecstasy, heroin, ketamine, legal highs, LSD, methadone, mushrooms, nicotine and volatile substance abuse consumption. Metode penelitian yang digunakan adalah metode Algoritma Naive Bayes, SVM, dan Decision Tree yaitu untuk memprediksi kecocokan data tersebut dilihat dari hasil akurasi yang didapatkan. Semakin besar akurasi yang dihasilkan maka semakin cocok data tersebut, dan semakin kecil akurasi yang dihasilkan maka semakin tidak cocok data tersebut. Peneliti menggunakan dataset Drug Consumption dalam bentuk format file .csv. Dataset ini diambil dari UCI Data Repository. Dataset Drug Consumption mengelompokkan tipe konsumen narkoba menurut pengukuran kepribadian. Berdasarkan penelitian yang telah dilakukan, maka hasil yang didapatkan dari membandingkan algoritma naive bayes, SVM (Support Vector Machine) dan Decision Tree adalah SVM (Support Vector Machine) merupakan algoritma yang paling baik. Sehingga kesimpulan yang didapat dari penelitian ini adalah sebelum memilih algoritma sebaiknya peneliti menganalisis data yang digunakan terlebih dahulu, dan SVM (Support Vector Machine) merupakan algoritma yang paling baik diantara algoritma Naïve Bayes, dan Decision Tree pada data Drug Consumption.
Prediksi Penjualan Hijab menggunakan Metode Extreme Learning Machine (ELM) (Studi Kasus: Vie Hijab Store) Kevin Nadio Dwi Putra; Muhammad Tanzil Furqon; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 6 (2020): Juni 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the industrial world nowadays, many people have established any business from micro to macro. One of the business that put focus of this research is a home industry selling hijab named Vie Hijab Store. Vie Hijab Store has increased sales year by year, but there are problems in supply management of raw materials in the form of fabrics. Therefore, by predicting the amount of hijab sales, it is expected to be able to assist the owner with building consideration in making the decision to purchase raw material in a certain period. This research will use Extreme Learning Machine (ELM) prediction method which has advantages in learning speed and for calculating the error rate of the predicted results using Mean Average Percentage Error (MAPE). The smallest MAPE results obtained for the Khimar model were 22% and for the Pashmina model by 12% using 4 features, 5 hidden nodes, a binary sigmoid activation function, and a data ratio of 60%: 40% for the Khimar model and 70%: 30% for the Pashmina model.
Prediksi Persentase Penyelesaian Permohonan Hak Milik menggunakan Metode Extreme Learning Machine (ELM) (Studi Kasus: Badan Pertanahan Nasional Kabupaten Malang) Meilinda Dwi Puspaningrum; Edy Santoso; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 7 (2020): Juli 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Certificate of Ownership is a type of certificate where the owner has full claim to the ownership of the land in a certain area that has been mentioned in the certificate. On 2018, the National Land Agency (BPN) established the PTSL program, which is a land registration process. This program is a government innovation through the Ministry of ATR / BPN to meet the basic needs of the community such as clothing, food and shelter. The process of community land certificate services that worked by BPN of Malang Regency has a constraint in which the process takes longer than determined, causing the number of certificates of ownership that can be completed every month to be lower than the number of incoming requests. In this case its cause the work of the staf is pilling up everytime. Several factors that cause this problem is the lack of inadequate human resources, especially measurement staf in the field and data processing staf. Therefore, in order to facilitate the process of servicing the land certificate, a prediction of the percentage of completion of an application using the Extreme Learning Machine (ELM) method is required. Based on the results of testing the parameters that have been carried out using the Extreme Learning Machine (ELM) method with the application for ownership data from 2014 - 2019 the comparison test of training data and testing data is produced the smallest evaluation value 2.878% using the MAPE method. At the comparison testing of training data and testing data the ratio results on the data is 30%: 70% with 2 neurons and activation functions used sigmoid binary.
Rekomendasi Produk UMKM Kabupaten Malang menggunakan Metode Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW) (Studi Kasus: Rumah Kreatif BUMN Telkom Kabupaten Malang) Hafshah Durrotun Nasihah; Edy Santoso; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 8 (2020): Agustus 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Malang Regency is one of the regency in East Java that has the largest population in Java, this causes the UMKM businessmen who are scattered in Malang Regency to be very numerous and varied. This study aimed to obtain UMKM product recommendations in Malang Regency which are registered in RKB Malang Regency. AHP and SAW are the methods of Decision Support System that were used to obtain UMKM product recommendations which compatible with the criteria weights that desired by the user. AHP method was used to calculate the weight of product criteria, meanwhile the SAW method was used to get the value of alternative product weights. The result of product's weighted alternative would be ranked from the largest to the smallest value, product with the largest weighted alternative value were the product that recommended by system based on the weighted criteria desired by the user. Based on the results of testing that using 7 cases testing accuracy testing that comparing the results of system with users,ait could be analyzed that the AHP and SAW methods were quite effective in getting product recommendations with an average value of 71,43%.
Prediksi Persentase Penyelesaian Permohonan Hak Milik menggunakan Metode Fuzzy Time Series (Studi Kasus: Badan Pertanahan Nasional (BPN) Kabupaten Malang) Dytha Suryani; Edy Santoso; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Ownership Certificate (SHM) is the legality of home ownership with the strongest status among other certificates of property, which can be traded, bequeathed or even represented so that the owner has full ownership of the land required. However, the number of SHM certifications needed by the community is quite long, so that the number of SHM that is the total amount needed is less than the amount entered. Where requested the accumulation of requests for making SHM from time to time and the target office in the completion of SHM is not approved properly. To minimize SHM and office targets that must be approved, a prediction is needed to understand the number of SHM that can be received each month. Which prediction uses algorithm from Fuzzy Time Series. Fuzzy Time Series is a method that is able to solve problems and produce good solutions. Based on the results made 3 times the minimum average error results obtained AFER 0.6112% with a total of 56 training data. AFER error results obtained are included in the excellent category to be used in predicting the amount requested.
Prediksi Persentase Penyelesaian Permohonan Hak Milik Menggunakan Metode Support Vector Regression (SVR) (Studi Kasus : Badan Pertanahan Nasional (BPN) Kabupaten Malang) Wa Ode May Zhara Averina; Edy Santoso; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Ownership Certificate (SHM - Sertifikat Hak Milik) is one type of certificate in which the owner has a full right to the land ownership in a certain area that has been mentioned in the certificate itself. Apparently, the service of community land certification takes a long time resulting the number of SHM that can be completed each month is lower than the number of applications that enter. This resulted a buildup of management by officers from time to time. To minimize this, a research needed to be conducted using a method of predicting, one of them was by using the Support Vector Regression method that is able to solve regression problems and produce good performance in taking solutions. Based on the results of tests conducted for this SVR method, the predicted results with a minimum evaluation value using MAPE were 0.3308% with lambda parameter values = 0.027, sigma = 0.01, epsilon = 0.00002, cLR = 0.24, C=100, and the number of iterations=10. The MAPE value obtained was <10%, including the number of documents in the calculation process.
Sistem Pendukung Keputusan Rekomendasi Siswa Kelas Unggulan menggunakan Metode Simple Additive Weighting (SAW) dan Weighted Product (WP) (Studi Kasus : SMA Negeri 1 Taman, Sidoarjo) Jauhar Bariq Rachmadi; Edy Santoso; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Students in schools generally think about the diversity of intelligence levels, there are students who have high, ordinary, and low intelligence levels. The diversity of the intelligence levels of these students makes students who have a high level of intelligence can not maximize what they can get. Therefore the school makes a superior class program, superior classes are classes filled with students who have a high level of intelligence. The selection of superior class students in a case study in SMA Negeri 1 Taman still uses a manual that compares students with other students. So in order to simplify the selection process of superior class students, it is necessary to create a system for the recommendation process for selection of superior class program students. In carrying out the decision support system this recommendation uses the Simple Additive Weighting (SAW) and Weighted Product (WP) methods. This system uses several student grades as a criterion to be calculated including the potential academic test scores, psychological scores, and the national exam scores of each subject. The SAW method is used to calculate the overall UN score and the WP method is used to calculate all grades and rank is then taken 36 students with the largest value. From the testing that has been done, the accuracy result is 80.56%. From the results obtained it can be concluded that the use of the SAW and WP methods is quite effective in using the superior class recommendation system.
Pengembangan Sistem Informasi Manajemen Service Motor pada Bengkel Honda Putra Jaya Malang Firhan Fauzan Hamdani; Adam Hendra Brata; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT Astra Honda Motor as a manufacturer of Honda motorcycles has many interrelated activities, one of the most important aspects is after sales service. After-sales service is a form of responsibility of PT Astra Honda. Putra Jaya Malang Motorbike Workshop is a Honda authorized workshop and dealer company engaged in motorcycle service. Service transactions, customer receipts, motorcycle history records and inventory records available and sold in the form of motorcycle parts are still done manually. Based on the problems that occur, it is necessary to develop a system of motor service management information in the workshop. This research uses the waterfall method in the development of information systems and uses the PHP programming language that is implemented in codeigniter frame-work. This information system has been tested using themethod blackbox for validation testing that produces 20 (twenty) test cases with 100% valid results, themethod whitebox for unit testing and compatibility testing for testing non-functional requirements on 3 (three) webs abrowser differentwith the results of the system running well.
Perbandingan Kinerja Pola Perancangan MVC, MVP, dan MVVM Pada Aplikasi Berbasis Android (Studi kasus : Aplikasi Laporan Hasil Belajar Siswa SMA BSS) Bahrur Rizki Putra Surya; Agi Putra Kharisma; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 11 (2020): November 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Laporan hasil belajar is a system that regulates student learning outcomes reporting at Brawijaya Smart School. This system can display grades from students in android application form. The need for efficiency in an android application is very necessary to achieve user satisfaction, and the need for knowledge of the design patterns needed to build or develop an android application. There are several design patterns that are used to build or develop an application, including Model View Controller, Model View Presenter, and Model View View Model. The design pattern will be applied to the laporan hasil belajar application to compare which design patterns are most efficient for laporan hasil belajar application. The initial stage for this research is engineering needs, at this stage gives the results of 4 (four) functional needs and 2 (two) non-functional needs, these needs are used as a basis for designing and implementing. The implementation is carried out by applying the design pattern of Model View Controller, Model View Presenter, and Model View View Model with the java programming language. Furthermore, after the implementation phase, the testing phase will be carried out on each application that has applied the design pattern of the Model View Controller, Model View Presenter, and Model View View Model 5 (five) times with the same results on energy use medium and memory usage average of 59.7MB for MVC, 59MB for MVP and 73.2MB for MVVM. The functional testing by using the blackbox testing method gives 100% validity in all functions
Pengembangan Aplikasi Layanan Informasi Peninggalan Sejarah Peradaban dan Cagar Budaya berbasis Platform Android (Studi Kasus: Dinas Pariwisata, Kepemudaan, Olahraga dan Kebudayaan Kabupaten Nganjuk) Arifandis Winata; Agi Putra Kharisma; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

History is a reconstruction of the past according to Prof. DR. Kuntowijoyo, almost every area has a history, as well as Nganjuk, a district that has a history in its past, as evidenced by the existence of historical relics such as temples, household tools, agricultural tools, vehicles, paintings, and sculptures which are archived in books by the Tourism Office, Youth, Sports and Culture Nganjuk. However, Nganjuk's history is not fully contained in the book because every discovery of a new historical relic takes a long process and time to update existing information. So, to facilitate the addition of information and explanation, an information service is used with the development of an Android-based mobile application to facilitate access both for the general public and for the Nganjuk Tourism, Youth, Sports and Culture Office. With the information service application, it is hoped that it can make it easier to find and update historical information quickly and easily. The application is developed with the Model-View-Presenter (MVP) architecture with the results of testing all functionality showing that the system is valid and the results of the usability test show an average above 80% which means the application is feasible to use, and can run on the Android operating system with a level SDK 16 to 29.
Co-Authors Abdurrachman Bachtiar, Fitra Abel Filemon Haganta Kaban Achmad Basuki Achmad Ridok Adam Hendra Brata Adhi Setiawan Aditama, Gustian Agi Putra Kharisma Agus Wahyu Widodo Agus Wahyu Widodo Agus Wahyu Widodo, Agus Wahyu Akbar, Alvin Tarisa Al Huda, Fais Aldi Fianda Putra Alfen Hasiholan Almasyhur, Muhammad Bin Djafar Alwan, Muhammad Fajrul Amin, Muhammad Basil Musyaffa Anarya Indika Putra Andina, Sherla Puspa Anggraheni, Hanna Shafira Annisa Sukmawati Apriyanti -, Apriyanti Ardhani, Luthfi Afrizal Ardhanto, Riyadh Ilham Arifandis Winata Arifien, Zainal Asmani, Wahayu Widyaning Austin, Yehezkiel Stephanus Bahrur Rizki Putra Surya Bana Falakhi Bayu Rahayudi Budi Darma Setiawan Caesar Rio Anggina Toruan Cahyo Prayogo, Cahyo Candra Dewi Cevita Detri Intan Suryaningrum Chindy Aulia Sari Christopher, Juan Young Darmawan, Abizard Hashfi Darmawan, Hanif Daud, Nathan Daut Daman Dewa Gede Trika Meranggi Dhaifullah, Afif Naufal Dhifan Diandra H Didik Suprayogo Dytha Suryani Edy Santoso Edy Santoso Elmira Faustina Achmal Eriq Muhammad Adams Jonemaro Fadhil Yusuf Rahadika Fadhil Yusuf Rahadika Fadhil Yusuf Rahadika Fahmi Achmad Fauzi Fajrina, Julia Nur Fathina Atsila F Fauzi, Muhammad Rifqi Firhan Fauzan Hamdani Fitra Abdurrachman Bachtiar Griselda Anjeli Sirait Griselda Anjeli Sirait Hafshah Durrotun Nasihah Hakim, Gibran Hakim, Sulthan Abiyyu Hanum, Assyfa Rasida Haris, Asmuni Harlan, Fajri Rayrahman Hawari, Rahmada Zulvia Azzahra Hermanto, Putri Tsania Maulidia Heru Nurwarsito Huda, Fais Al Hutamaputra, William Ikhwanul Kiram, Muh Zaqi Imam Cholissodin Indriati Indriati Iqra Ilhamsyah Irfan Ardiansyah Irfannanto, Adimas Irfano, Haikal Irwanto, M. Sofyan Izzatul Azizah Jauhar Bariq Rachmadi Javier Ardra Figo Karina Amadea Katrina Puspita Kevin Nadio Dwi Putra Khalid Rahman Khoirullah, Habib Bahari Krisnabayu, Rifky Yunus Kurnia Fakhrul Izza Kurnianingtyas, Diva Lailil Muflikhah Laksono, Khansa Salsabila Sangdiva Larasati, Saqina Salsabila Lutfi, Raniyah Mahardika, Mohammad Alfiano Rizky Manurung, Daniel Geoffrey Marasitua, Wahyu Valentino Marji Marpaung, Veronika Oktafia Maulana Ahmad Maliki Maulana, Muhammad Taufik Mawarni, Marrisaeka Meilinda Dwi Puspaningrum Michael David Muh. Arif Rahman Muhammad Rizaldi Muhammad Rizaldi Muhammad Tanzil Furqon Muhammad Zaini Rahman Natanniel Eka Christyanto Naufal, Muhammad Jilan Niluh Putu Vania Dyah Saraswati Nisa, Lisa N. Nisa, Septia Khoirin Novianti, Siska Nurannisa, Nadhira Oakley, Simon Pangondian, Yosia Permadhi, Raditya Atmaja Satria Pinasthika, Mohammad Ryan Prais Sarah Kayaningtias Prasetia, Anugrah Prayata, Rakan Fadhil Putra Pandu Adikara Putra, Octo Perdana Putri, Rania Aprilia Dwi Setya Putri, Salwa Cahyani Qurrata Ayuni Rahmadi, Anang Bagus Rahman, Muhammad Arif Raihan Hanif F RAMADHAN, ADITYA RIZKY Randy Cahya Wihandika Renata Rizki Rafi' Athallah Rian Nugroho Rilinka Rilinka Rishani Putri Aprilli Rizal Setya Perdana Rizky, Audhinata Bebytama RR. Ella Evrita Hestiandari Sabriansyah Rizqika Akbar, Sabriansyah Sahirah, Rafifa Addin Saputra, Kylix Eza Sastomo, Yogi Puji Selle, Nurfatima Setyawan Purnomo Sakti Sholeh, Mahrus Stephen Lui, Michael Sugihdharma, Joseph Ananda Sukma, Lintang Cahyaning Sulthon Akhdan G Suprapto Suprapto Sutrisna, Naufal Putra Syafira, Putri Amanda Tampubolon, Agustinus Parasian Thiodorus, Gustavo Timothy Bastian Sianturi Usfita Kiftiyani Vasya, Muhammad Azka Obila Wa Ode May Zhara Averina Wahyu Taufiqurrahman, Rayhan Waludi, Ikbal Wayan Firdaus Mahmudy Wulandari, Rafifah Ayud Yuita Arum Sari Yuita Arum Sari Zetha, Ivykaeyla Adriana