Claim Missing Document
Check
Articles

Found 7 Documents
Search

APLIKASI PENCARIAN PARKIR JAKARTA BERBASIS ANDROID MENGGUNAKAN RESTFUL API Dzulqarnain, Muhammad Adam; Aziz, Muhammad Luthfi; Rachman, Muhammad Fauzi; Atmadja, Aldy Rialdy
INTERNAL (Information System Journal) Vol 1, No 2 (2018)
Publisher : STKOM Al Ma'soem Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.659 KB) | DOI: 10.32627/internal.v1i2.51

Abstract

Jakarta is one of the metropolitan cities in Indonesia. The increasing number of vehicles entering Jakarta has resulted in the difficult to find parking area. Moreover, the population density occurred in there also resulted in the difficulty of finding parking area. Each parking area have its own capacity, the driver must directly check the state of the parking area. According to a survey conducted by VIVA, it takes 21 minutes to find parking in Jakarta (Viva, 2017). Based on the background of the problem, it can be conclude, the focus of the research is how to implement RESTFul API on an android application , so it will be ease to find a parking area in Jakarta. The system development method uses Scrum, the implementation results in the form of an android-based application using the RESTFul API.
Sistem Pendukung Keputusan Penentu Dosen Penguji Dan Pembimbing Tugas Akhir Menggunakan Fuzzy Multiple Attribute Decision Making dengan Simple Additive Weighting (Studi Kasus: Jurusan Teknik Informatika UIN SGD Bandung) Septiana, Ian; Irfan, Mohamad; Atmadja, Aldy Rialdy; Subaeki, Beki
JOIN (Jurnal Online Informatika) Vol 1, No 1 (2016)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v1i1.10

Abstract

Penentuan dosen penguji dan pembimbing skripsi adalah hal yang harus dilakukan disetiap universitas untuk membantu mahasiswa dalam menyelesaikan skripsinya. Dalam menentukan hal tersebut kadang terjadi keputusan yang kurang optimal dimana dosen yang ditunjuk kurang sesuai dengan topik skripsi mahasiswa akibatnya dapat mengurangi kualitas karya ilmiah mahasiswa. Untuk memecahkan masalah tersebut maka dibutuhkan sistem pendukung keputusan yang dapat memberikan rekomendasi dosen penguji dan pembimbing. Salah satu metode yang dapat digunakan adalah  FMADM  (Fuzzy Multiple Attribute Decission Making). Proses penentuan rekomendasi dosen penguji dan pembimbing dilakukan dengan mencari alternatif terbaik berdasarkan kriteria-kriteria yang telah ditentukan melalui metode SAW (Sample Additive Weighting). Adapun metode FMADM dipilih karena mampu menyeleksi alternatif terbaik dari sejumlah alternatif. Dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perangkingan yang menghasilkan alternatif yang optimal, untuk menentukan dosen penguji dan pembimbing.
Development of Android-Based Software to Support The Selection of University Majors that Fits with Student Personality Type Fridayanti, Fridayanti; Uriawan, Wisnu; Atmadja, Aldy Rialdy
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 3, August 2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (581.81 KB) | DOI: 10.22219/kinetik.v3i3.628

Abstract

Selecting study program is important things that must decide for high school student in Indonesia. However, students often have difficulties to explore the field of study which match with him. Technology can be used as a tool for making a decision, for example by using android application. Android platform has advantages because it is easy to accessible and familiar in teenagers in Indonesia. In this research, an application was developed by Rational Unified Process methodology. The selection of study program is done with knowing personality type. There are 6 criteria in defining personality type with RIASEC method: Realistic, Investigative, Artistic, Social, Enterprising, Conventional. Personality type can be known after user filled the questionnaire in an application. Next, an application can display study program that matches the type of user personality. From evaluation and analysis, the result showed that application is easy to use. It is expected that this application can be a simulated application which provides information and solutions in advance to selecting study program in universities.
PENGEMBANGAN APLIKASI GAME PLATFORM HAPPY JUMP: WORLD ADVENTURE Alamsyah, Rifan; Sulastri, Sri; Krisrupianti, Lupi; Atmadja, Aldy Rialdy
Jurnal Accounting Information System (AIMS) Vol 2, No 1 (2019)
Publisher : STKOM Al Ma'soem Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.53 KB) | DOI: 10.32627/aims.v2i1.3

Abstract

Game is media entertainment are much sought after by today's society, including children. By using a media game players will feel how the game goes and focus in the game so that the players can feel the feeling of delight in playing it. Therefore, the author will design and build a game called Happy Jump: World Adventure with endless game genre. This game tells the story of a character named Happy to jump and collect as many coins as he is capable of with the existing obstacles. There are two worlds which can be happy play i.e. mountain and graveyard, each world has a degree of difficulty and different enemies. This game is intended for all ages. This game is built using Construct 2 in the Assembly of the components of the game and Corel Draw x6 for manufacturing assets.
Comparison of Template Matching Algorithm and Feature Extraction Algorithm in Sundanese Script Transliteration Application using Optical Character Recognition Gerhana, Yana Aditia; Atmadja, Aldy Rialdy; Padilah, Muhamad Farid
JOIN (Jurnal Online Informatika) Vol 5, No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.580

Abstract

The phenomenon that occurs in the area of West Java Province is that the people do not preserve their culture, especially regional literature, namely Sundanese script, in this digital era there is research on Sundanese script combined with applications using Feature Extraction algorithm, but there is no comparison with other algorithms and cannot recognize Sundanese numbers. Therefore, to develop the research a Sundanese script application was made with the implementation of OCR (Optical Character Recognition) using the Template Matching algorithm and the Feature Extraction algorithm that was modified with the pre-processing stages including using luminosity and thresholding algorithms, from the two algorithms compared to the accuracy and time values the process of recognizing digital writing and handwriting, the results of testing digital writing algorithm Matching algorithm has a value of 87% word recognition accuracy with 236 ms processing time and 97.6% character recognition accuracy with 227 ms processing time, Feature Extraction has 98% word recognition accuracy with 73.6 ms processing time and 100% character recognition accuracy with 66 ms processing time, for handwriting recognition in feature extraction character recognition has 83% accuracy and 75% word recognition , while template matching in character recognition has an accuracy of 70% and word recognition has an accuracy of 66%.
Comparison of Template Matching Algorithm and Feature Extraction Algorithm in Sundanese Script Transliteration Application using Optical Character Recognition Gerhana, Yana Aditia; Atmadja, Aldy Rialdy; Padilah, Muhamad Farid
JOIN (Jurnal Online Informatika) Vol 5, No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.580

Abstract

The phenomenon that occurs in the area of West Java Province is that the people do not preserve their culture, especially regional literature, namely Sundanese script, in this digital era there is research on Sundanese script combined with applications using Feature Extraction algorithm, but there is no comparison with other algorithms and cannot recognize Sundanese numbers. Therefore, to develop the research a Sundanese script application was made with the implementation of OCR (Optical Character Recognition) using the Template Matching algorithm and the Feature Extraction algorithm that was modified with the pre-processing stages including using luminosity and thresholding algorithms, from the two algorithms compared to the accuracy and time values the process of recognizing digital writing and handwriting, the results of testing digital writing algorithm Matching algorithm has a value of 87% word recognition accuracy with 236 ms processing time and 97.6% character recognition accuracy with 227 ms processing time, Feature Extraction has 98% word recognition accuracy with 73.6 ms processing time and 100% character recognition accuracy with 66 ms processing time, for handwriting recognition in feature extraction character recognition has 83% accuracy and 75% word recognition , while template matching in character recognition has an accuracy of 70% and word recognition has an accuracy of 66%.
Development of Android-Based Software to Support The Selection of University Majors that Fits with Student Personality Type Fridayanti, Fridayanti; Uriawan, Wisnu; Atmadja, Aldy Rialdy
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 3, August 2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v3i3.628

Abstract

Selecting study program is important things that must decide for high school student in Indonesia. However, students often have difficulties to explore the field of study which match with him. Technology can be used as a tool for making a decision, for example by using android application. Android platform has advantages because it is easy to accessible and familiar in teenagers in Indonesia. In this research, an application was developed by Rational Unified Process methodology. The selection of study program is done with knowing personality type. There are 6 criteria in defining personality type with RIASEC method: Realistic, Investigative, Artistic, Social, Enterprising, Conventional. Personality type can be known after user filled the questionnaire in an application. Next, an application can display study program that matches the type of user personality. From evaluation and analysis, the result showed that application is easy to use. It is expected that this application can be a simulated application which provides information and solutions in advance to selecting study program in universities.