Claim Missing Document
Check
Articles

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Pengembangan Sistem Informasi Geografis untuk Produksi Kopi Se-Malang Raya Febri Fahrizal; Faizatul Amalia; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Malang Raya is the largest coffee producing region in East Java after Banyuwangi and Jember. Besides that, Malang Raya is also an area with a lot of coffee consumption. Many coffee enthusiasts and coffee shops are found. However, many coffee shops supply coffee from distributors who source coffee from outside the Malang area. So that Malang Raya coffee production is not maximized to meet the needs of its own region. Therefore, it is necessary to develop a geographic information system for coffee production in Malang Raya to provide information on coffee production in Malang. In developing the system, the development that is used is waterfall with CodeIgniter and OpenLayers as its framework. The system requirements analysis phase resulted in 4 types of users, 13 functional requirements, and 3 non-functional requirements. The design phase produces sequence diagram modeling, class diagrams, databases, components, and interfaces which are then processed to be implemented at the system implementation phase. The testing phase is done by using white box with a type of base path testing for unit and integration testing, black box for validation testing, a questionnaire with a Likert Scale for availability and consistency testing, and SortSite tools for compatibility testing. So that a system is produced that can display maps and information on coffee production as well as space for farmers to market their products. Based on the test results, it is known that the system is feasible and can be used on various types of browsers.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Sistem Pendukung Keputusan Menentukan Siswa Berprestasi menggunakan Metode Weighted Product dan Simple Additive Weighting (Studi Kasus : SMPN 2 Bululawang Kabupaten Malang) Mukhlis Anshori Witanto; Edy Santoso; Suprapto Suprapto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The number of students as well as various levels of ability and strengths in different aspects of behavior, academic values ​​and non-academic values, so that based on the conditions that emerge an effort to find out students have superior achievements. The selection of high achieving students in SMP Negeri 2 Bululawang tends to be use the academic scores of the nasional exam, because the decisions taken only use the academic scores of the national exam, so it is not fair to make high performance student decisions that are seen in one criterion. In carrying out a decision support system for determining these high achieving students using the Weighted Product (WP) and Simple Addictive Weighting (SAW) methods. This system uses several criteria used for the selection of high-achieving students including, the average report card grades from grade 7 to grade 9, school exam scores, attendance attendance values, and extracurricular grades. The test results obtained an accuracy of 40%, because the school only determines from one aspect only.
Pengembangan Sistem Rekomendasi Produk Perawatan Kulit Berbasis Web Menggunakan Metode AHP Jojor Yeanesy Sinaga; Faizatul Amalia; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 11 (2020): November 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Skin is one of the largest organs in humans. In order to carry out these functions, the skin must be properly guarded and cared for. Especially on facial skin. Besides being able to attract attention, beautiful and healthy facial skin can also increase self-confidence. Choosing facial skin care products should not be arbitrary because it can cause the skin to become irritated and dehydrated. It is very important to see if the skin and problems are first. However, in fact there are still many who choose the wrong care products. Based on these problems, a system of recommendations for skin care products was developed based on skin types and web-based skin problems. To get recommendations, the method used is AnalyticaI Hierarchy Process (AHP). The system development process is carried out using the waterfall method with an Object-Oriented (OO) approach and web-based. Testing on functional requirements is carried out by unit testing and validation. The results obtained are 100% valid in all tested cases. Testing on non-functional requirements is carried out with compatibility testing and the results obtained indicate that the system can be accessed from various browsers and different operating systems. Testing the recommendation method performed with accuracy testing produces a value of 66.67%. The results obtained indicate the system can function properly according to the AnalyticaI Hierarchy Process (AHP) method.
Pengembangan Kakas Bantu Pemeriksa Kesalahan pada Skenario Use Case dalam Bahasa Indonesia Muhammad Alimuddien Rasyid; Denny Sagita Rusdianto; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 11 (2020): November 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In general, use case scenario reviewing is done manually, which has two drawbacks. The first drawback is the reviewing process takes a long time to finish, and the second drawback is the high level of dependence on reviewer's ability. Therefore, manual reviewing can lead into inconsistent scenario assessment. An automatic use case scenario review mechanism have existed before, but this mechanism was designed according to English which has some differences with Indonesian within the sentence's structure. There are some challenges to develop a use case defect detection system in other languages. Lexical database is needed as a reference for the system to recognize the processed text. Requirement writing template is also adapted to prevent complex writing of sentence structure. Those research results are the foundation for this research to develop a use case scenario examiner case tool in Indonesian. This case tool can manage use case scenario into a project, and examine those scenarios. Testing results on all aspects of the system are valid with a percentage of 100%, therefore therefore this system is feasible to use as a case tool to simiplify the use case scenario defect detection process.
Optimasi Penjadwalan Pada Layanan Kursus dengan Algoritme Genetika (Studi Kasus: Unit Pengembangan Bahasa Universitas Brawijaya) Rio Cahyo Anggono; Imam Cholissodin; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Language Development Unit Universitas Brawijaya or Brawijaya Language Center (BLC)'s course service is one of the services most in demand by many people. The relatively cheap price and the schedule selection by each participant are the main factors why many people choose BLC. The lack in the BLC course service is from an administrative perspective. The course scheduling system is still done manually by the course administration. Therefore, it is necessary to conduct research related to course scheduling. In the future, this research can assist BLC in course scheduling. The method that will be used in this research is Genetic Algorithm. In this research, the genetic algorithm process includes initial population formation and chromosome representation, parent selection, crossover and mutation, calculation of fitness values, population replacement selection, and chromosome derepresentation. Based on the test results, the best parameter values are found in the population number 700, Cr 0.5, Mr 0.4, and the number of generations of 900 with a fitness value of 0.98182.
Implementasi Metode Agglomerative Hierarchical Clustering Pada Segmentasi Pelanggan Barbershop (Studi Kasus : RichDjoe Barbershop Malang) Rhayhana Putri Justitia; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Strategy is one of many thing that influence the success of a person in running a business. Implementing the right strategy is crucial so that the business runs as desired. One of the strategies that can be applied is Customer Relationship Management (CRM), namely by regulating segmentation and how to treat consumers. In conducting analysis, business actors must carefully consider each consumer with their respective habits when conducting transactions to be grouped into certain segments. It is not uncommon for consumers to be in a segment that does not match their characteristics due to errors in the analysis because it is done manually. Therefore, this study will apply the Agglomerative Hierarchical Clustering method to Barbershop customers in segmenting. In this study, using 489 customer data from RichDjoe Barbershops Malang which were taken from May to October 2020 in the form of the latest arrival date of each customer marked with an ID number, the number of arrivals of each ID during a certain period of time, how much money was spent by each customer, and the accumulation distance from the oldest to the most recent date each ID number. The Agglomerative Hierarchical Clustering method is known to have a good ability in grouping data by making a hierarchy gradually from data in the form of singleton / individual until all data are grouped. The distance measurement method uses Manhattan Distance with the distance parameters used are Single Linkage, Complete Linkage and Average Linkage. This study uses the Silhouette Coefficient in evaluating the test and produces the highest results from 489 data at the 391 cut point, with an average silhoette coefficient value of 0.968850698 on the single linkage parameter and the average linkage resulting in 8 clusters and silhouette coefficient for each data resulting in 376 of 399 the right data are in the group and the silhouette coeffcient of each cluster formed shows that 6 out of 8 clusters are formed correctly.
Pengembangan Sistem Pengelolaan Dengan Prinsip Point Of Sale Dan Pemesanan Berbasis Website Dengan Konsep Mvc (Studi Kasus: Doreni Petshop) Miga Palma Putri; Denny Sagita Rusdianto; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Doreni Petshop is a pet shop in Malang that sells pet supplies and offers coat facilities such as grooming and day care. However, there are several problems in its management, such as problems in recording, because grooming and storage orders as well as sales orders and out-of-stock orders so that employees often make mistakes in recording them. There is no record of incoming stock and frequent records of sales and purchases that have not been recorded in the orders are lost, resulting in different calculations for expenses, entries and stocks. As for customers, those who want to get a service function must order a slot on h-1. Usually, customers who did not place an order had to go home because they ran out of slots. Based on these problems, researchers developed an ordering system so that customers can order available packages without fear of running out of stock and developed a management system with the principle of point of sale that can manage orders, manage stock availability in and out, manage package availability, manage sales transactions, manage order and sales history, can print receipts and use qr-code to simplify the process of selling goods. The system is built based a on website with the SDLC model waterfall. Implementation with the programming language PHP and javascript using the codeigniter framework by applying the MVC concept. The test results in 100% valid status on unit testing, integration, and validation. Testing compatibility using sortsite results that the system is able to run in different browsers.
Pengembangan Sistem Penjualan Toko Latansa Textile berbasis Web Muhammad Miftah Dhiaulhaq; Edy Santoso; Nurudin Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Latansa Textile is one of the textile shops established in Balikpapan, East Kalimantan. The shop manages its sales transaction as a business report with a manual book and hand-writing. Hence, the transaction notes might be piled up. Delay of re-stock also occurred since the shop has never recorded the material stock, and it causes failure to comply with textile buyers' demand. To overcome the problem, a web-based sales system was developed to facilitate the process of transaction management. Object-Oriented Analysis and Design and Object-Oriented Programming methods were employed to develop the system. It was developed with Hypertext Preprocessor (PHP) as the programming language and Codeigniter as the framework. Unit testing and integration testing employed the white-box method, while validation testing employed the black-box method. Results of the unit testing and integration testing show that the system runs as designed. The result of validation testing shows that the system fulfills all the functional requirements. Thus, all the testing show 100% validity, and the system is ready to use.
Co-Authors Abdul Juli Andi Gani Achmad Arwan Achmad Ridok Adam Hendra Brata Adhi Mulhaq Adhie Indi Arsyanto Adhipramana Raihan Yuthadi Adinugroho, Sigit Aditya Sudarmadi Agung Dwi Budiarto Agus Prayogi Ahmad Faizal Akbar Imani Yudhaputra Akhsana Zufar Masyhuda Alif Fachrony Alif Prasetyo Aji Andriko Hedi Prasetyo Annam Rosyadi Annisa Puspitawuri Arief Andy Soebroto Arinda Ayu Puspitasari Aulia Dinia Ayu Tifany Novarina Bagus Aryo Herlambang Bayu Rahayudi Bregaster Bregaster Brigitta Ayu Kusuma Wardhany Caesaredi Rama Raharya Candra Dewi Charisma Amadea Putri Dayu Aprellia Dwi Putri Dendry Zeta Maliha Denis Ahmad Ryfai Denny Sagita Rusdianto Dewan Rizky Bahari Dhatu Kertayuga Dian Eka R Dicky Manda Putra Sidharta Dimas Prenky Dicky Irawan Dino Keylas Dwi Tyas Fitriya Ningsih Dytha Suryani Edwar Budiman Ega Ajie Kurnianto Elkaf Fahrezi Soebianto Putra Elna Diaz Pradini Fahri Ariseno Faizatul Amalia Fajar Pradana Faldo Sabillah Shidqi Faris Dinar Wahyu Gunawan Faturrahman Muhammad Suryana Febri Fahrizal Freddy Ajax Pratama Galih Aulia Rahmadanu Genjah Amartha Gora Ghiffary Rizal Hamdhani Greviko Bayu Kristi Habib Putra Kusuma Negara Hafshah Durrotun Nasihah Heny Dwi Jayanti Herlina Devi Sirait Heru Nurwasito Heryadi Mochamad Ramdani Hinandy Nur Anisa Imam Cholisoddin Imam Cholissodin Indriati Indriati Irwan Andriyanto Ivan Agustinus Jauhar Bariq Rachmadi Jeffrey Simanjuntak Jodi Irjaya Kartika Jojor Yeanesy Sinaga Kenty Wantri A Khairinnisa Rifna Khrisna Indrawan Eka Putra Khusnul Aidil Santosa Komang Anggada Sugiarta Krisna Andryan Syahputra Effendi Lailatul Fitriah Lailil Muflikhah M. Ali Fauzi Made Bela Pramesthi Putri Marji Marji Maya Febrianita Meilinda Dwi Puspaningrum Meutya Choirunnisa Miga Palma Putri Mochamad Rafli Andriansyah Moh. Zulfiqar Naufal Maulana Mohammad Zahrul Muttaqin Muh Hamim Fajar Muh. Thanthowi Lathif Muhamad Danis Firmansyah Muhamad Fahrur Rozi Muhammad Alfian Nuris Shobah Muhammad Alimuddien Rasyid Muhammad Aminul Akbar Muhammad Ardhian Megatama Muhammad Atabik Usman Muhammad Aulia Rahman Muhammad Dimyathi Muhammad Fachry Noorchoolish Arif Muhammad Fauzan Ziqroh Muhammad Fuad Efendi Muhammad Miftah Dhiaulhaq Muhammad Shafaat Muhammad Tanzil Furqon Mukhlis Anshori Witanto Nendiana Putri Ninda Silvia Tri Cahyani Nonny Windarti Novanto Yudistira Novi Fadilla Ulfa Nurudin Santoso Nurul Hidaya Nurul Hidayat Paul Manason Sahala Simanjuntak Putra Aditya Primanda Ratih Kartika Dewi Regina Anky Chandra Renaldy Senna Hutama Reyhan Dzickrillah Laksmana Reynaldi Ricky Putra Utama Guinta Rezza Hary Dwi Satriya Rezza Pratama Rhayhana Putri Justitia Richard Emmanuel Johanes Riesma Rahman Nia Rio Cahyo Anggono Rizky Maulana Iqbal Rizky Ramadhan Rizqi Addin Arfiansyah Roma Akbar Iswara Salam Maulana Sari Narulita Hantari Satrio Hadi Wijoyo Sema Nabillah Dewi Shibron Arby Azizy Stefanus Bayu Waskito Supraptoa Supraptoa Surya Dermawan Sutrisno Sutrisno Syailendra Orthega Tara Dewanti Sukma Tibyani Tibyani Tjahjanulin Domai Tony Faqih Prayogi Tri Afirianto Tuahta Ramadhani Tubagus Agung Nugroho Vogue Nevarika Wa Ode May Zhara Averina Wahyu Dwiky Rahmadan Wayan Firdaus Mahmudy William Muris Parsaoran Nainggolan Wunsel Arto Negoro Yogi Pinanda Yudha Eka Permana Yuita Arum Sari Yulianus Wayan Yudistira Rudja Yunita Dwi Lestari Yuwilda Wilantikasari