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Journal : Compiler

IMPLEMENTASI INFORMATION RETRIEVAL DALAM PEMBUATAN APLIKASI PIANO COMPOSER MENGGUNAKAN JAVA APPLET Honggowibowo, Anton Setiawan; Nugraheny, Dwi; Sitohang, Marinata Vanny Tarida
Compiler Vol 1, No 2 (2012): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

Music is an integral part in human life nowadays. Musical instruments that is being used commonly by the musician is piano. The piano is used because of its widest range of musical notes compared to other musical instruments, and those enable musician to compose musical notes with a piano. In general, there is one obstacle that prevents musician to have a piano, and that is the expensive price of a piano.On this Final Assignment, there is a java based piano composer applet that runs on the web platform to provide an easier way to play a piano and music composition online. With this application, the user only need to compose the musical score, then the application itself will process it into a MIDI formatted file.Based on the survey held with some musicians, can be concluded that the piano composer application can be used by the user to play piano and to compose musical notes very well.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN CUTI PEGAWAI MENGGUNAKAN METODE TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) (STUDI KASUS DI KANTOR PELAYANAN PERBENDAHARAAN NEGARA YOGYAKARTA) Dwipayani, Made Intan; Honggowibowo, Anton Setiawan; Nugraheny, Dwi
Compiler Vol 1, No 1 (2012): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

Decision Support System or DSS is a system that helps managers in solving the problems of semi-structured. Many techniques are used to make the Decision Support System, one with Fuzzy Logic. Fuzzy logic is one of problem-solving techniques where the degree of membership which are typically represented by values 0 and 1, with Fuzzy Logic is the degree of membership can be represented with a value between 0 and 1 so that it can be more balanced.             KPPN Yogyakarta in determining an employee on leave not yet have an application, and is still done manually. Therefore, to further assist in making the determination of the employee on leave should be made DSS. DSS will use fuzzy logic techniques MADM applying TOPSIS method in the calculation process. SPK expected this may be an alternative in the determination of an employee on leave in KPPN Yogyakarta later. Decision Support System determination of an employee on leave with TOPSIS method is to obtain results that are not much different from the calculations manually, so it can be applied to support the decision in the determination of employee leave.
SISTEM PENDUKUNG KEPUTUSAN PERENCANAAN AKADEMIK DENGAN METODE BEST FIRST SEARCH ( Studi Kasus di Sekolah Tinggi Teknologi Adisutjipto ) Rina, Atika; Honggowibowo, Anton Setiawan; Retnowati, NurCahyani Dewi
Compiler Vol 1, No 2 (2012): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

With the rapid growth in current technology, academic systems in higher education has been computerized. Academic who has a computerized system is considered more effective. The computerized system has can be used to plan the academic activities of students for taking Strata 1 at the College of Technology Adisutjipto. The system uses Decision Support System (DSS) to give some conditions on Best First Search (BFS) method so that the method can be used in a subsequent advisory list of the best courses in accordance with the terms that have been obtained, which will help students in making academic decisions. Of the BFS method, students are given a solution in the form of a list next semester of courses that can be taken in accordance with the terms obtained from the previous semester in the form of Performance Index and the solution was given until the end of the lecture the student and provides the calculation of the total cost of each semester.
PERENCANAAN DAN PENGENDALIAN KAPASITAS WAKTU PRODUKSI DENGAN METODE ROUGH CUT CAPACITY PLANNING PADA SISTEM INFORMASI DI PERCETAKAN MAXIMEM Muntaqi, Rifdan; Honggowibowo, Anton Setiawan; Nugraheny, Dwi
Compiler Vol 2, No 2 (2013): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

The increasing consumer demand for printing services that utilize existing capacity resulting in an imbalance in the production floor. When orders come in, the company has always approved the transaction without first reviewing the available resources. Time capacity planning and control is one very important element in decision-making. On research planning and control of production capacity using the data available capacity in each period and the capacity required to fulfill orders in the period.Capacity Planning and Control Production Time Rough Cut Capacity Planning Methods to determine the estimated processing time, capacity reports, and decisions o f the order. The test results o f the 30 respondents apilkasi display application users are 67%, 70% users ease, clarity of information and data is 80%, 57% apilkasi usefulness, 80% rated the overall application. Thus, the Capacity Planning and Control Of Time With Rough Cut Capacity Planning Method Information System At Maximem Printing use this app either.
PERBANDINGAN METODE FUZZY TSUKAMOTO DAN MAMDANI UNTUK MEREKOMENDASI NILAI SIMPANAN TABUNGAN BERDASARKAN SALDO RATA-RATA HARIAN PADA KOPERASI JASA KEUANGAN SYARIAH (STUDI KASUS DI BMT BINA IHSANUL FIKRI) Omara, Safik; Honggowibowo, Anton Setiawan; Wintolo, Hero
Compiler Vol 1, No 1 (2012): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

Funding accumulation should be designed to attract people to save in the institution money islamic. Savings Islamic investment is to apply the system to yield a return on investment. The value of customer revenue will never be the same each month even though they are the same a mount. Therefore, we need an alternative form of information storage decisions to be based recommendations for the specific results. For the results calculated by the method of the average daily balance is multiplied by other factors such as per classification average balance bank of funds, and the ratio(%). The average balance is the accumulation of sediment balance is divided by the number of days in a month. The application of fuzzy inference systems Tsukamoto and madman will be compared to the recommended savings will be applied to the system. Fuzzy logic has a degree of  membership that represented the values 0 and 1, to be more balanced in the calculation is limited by certain factors. Factors include the amount of sediment balance and sediment balance your time to calculate the value of savings products or recommendations.Application of fuzzy Tsukamoto and  Mamdani gives an overview of the differences indetermining the final outcome of the process defuzzifikasi, so that the known method is more suitable for recommending the value of deposits with a limited output of certain values (lower and upper limit of deposits). Fuzzy calculations have been tested with analysis of mathematical calculations manually and generate the same value.ListenRead phonetically
SISTEM PENDUKUNG KEPUTUSAN OTOMATISASI PLANNING WISATA BERBASIS WEBSITE DENGAN MENGGUNAKAN METODE DIJKSTRA Suryanto, Eko; Honggowibowo, Anton Setiawan; Retnowati, Nurcahyani Dewi
Compiler Vol 2, No 1 (2013): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

The application development of website that have a good progress from Website is very important in tourism field where website can promote the interesting and unique of tourism place for tourist. In tourism field website can be important if completed with superriority is tourism planning where tourist can plan their holidays effective and efficient. Dijkstra method is a graph search algorithm is used to solve the problem with a single source shortest path on a graph that produces a shortest path tree. The usage of dijkstra method in decision the tourism planning base website is appropriate because used to plan the holidays based on the route or the sorthest way that has been found by latitude and longitude counting which is very important to decide range from each place, so it can help the tourist.
PENERAPAN ALGORITMA ARI BORNEO (AB) UNTUK PEMBACAAN TEKS DENGAN MEMANFAATKAN MICROSOFT SPEECH DAN ID1 Restani, Ari; Honggowibowo, Anton Setiawan; Indrianingsih, Yuliani
Compiler Vol 2, No 2 (2013): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

Reading is an activity person to obtain information from something written. Reading involves recognition of the symbol and the letters that make a language. But there are some people who are lazy to read text in English language which is not a language that is used everyday by Indonesian people. In addition to reading, there are also the most common activities to obtain information that is heard. Hear is a way to gain an understanding of the meaning of the information in the form or sound using auditory senses. Reading activities contributed 10% ability for know information, with listening, knowing information can reach 30%. With conditions like this, then it needs an alternative media that can help treat the condition. The alternative media that can be made is text to speech fo r read text in Indonesia language and English language, for detection language using Ari Borneo Algorithm. These systems are made using Delphi 7 programming language, MBROLA Tools as Indonesia-speaking sound generators and Microsoft Speech API as English sound generator. Through this system, userscan absorb information from listening to the reading o f text by both systems.
IMPLEMENTASI DATA MINING UNTUK MERAMALKAN PENJUALAN DI MINIMARKET IDOLA JL PATI-TAMBAKROMO KM 2 DESA KARANGMULYO RT 08 RW 1 DENGAN METODE TIME SERIES Widyatmoko, Hamdani; Honggowibowo, Anton Setiawan; Retnowati, NurCahyani Dewi
Compiler Vol 1, No 2 (2012): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

Minimarket idola on a daily basis there are many sales transactions, so that the data stored in the database is very large. The data can be used as much useful information for the owner of a minimarket in policy making. To explore the data that is used a lot of data mining technique. Data mining uses data analysis to discover patterns and relationships in data that may be used to make accurate predictions.In this research, data mining is used to forecast the sales of goods in Minimarket Idoal. Forecasting the future based on measuring the value of the patterns in the data collection. To perform sales forecasting in the future to use the method of time series. Forecasting time series data to predict what will happen based on past historical data.Time series methods for forecasting sales in the calculation Minimarket Idola using exponential smoothing and moving average. Of the count sought the MAD (Mean Absolute Deviation) or forecasting errors. Where MAD is the smallest value of the calculation of exponential smoothing and moving average is the result of forecasting with a small error. Forecasting results will not always be appropriate because the market demand influenced by several factors. But it does not mean that the forecast is made useless.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN LOKASI PETERNAKAN AYAM BROILER DENGAN METODE PERBANDINGAN EKSPONENSIAL DAN NAIVE BAYES Wibowo, Ari; Honggowibowo, Anton Setiawan
Compiler Vol 3, No 2 (2014): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

Location is an important role in the success of building a broiler chicken farm. Fault location can be fatal in business continuity. Decision support system is very useful to help help determine the location of broiler chicken farms right. By using the decision support system will give results in the form of value that can be used as a comparison to any alternative location. The method used is Metode Perbandingan Eksponensial (MPE) and Naive Bayes. By using both methods can provide clearer results. Metode Perbandingan Eksponensial is better than the Naive Bayes method, this is because the value generated by the Metode Perbandingan Eksponensial has a contrasting difference in each outcome so as to reduce the refraction that may occur.
IMPLEMENTASI DATA MINING MENGGUNAKAN METODE APRIORI PADA TRANSAKSI PENJUALAN BARANG (STUDI KASUS DI CHORUS MINIMARKET) Sihombing, Erika Silvia; Honggowibowo, Anton Setiawan; Nugraheny, Dwi
Compiler Vol 1, No 1 (2012): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

Minimarket chorus is where the sale of goods that have sales transaction data is large daily. Sale of transaction data in the Chorus Minimarket in store are usually only used as an archive only and not in the know what the benefits of a large sale of transaction data for later. The technique of data mining  can help  analyze of transactions  data large that is stored in database and can give benefits in the sale of items. Data mining process will be done is to extract  the knowledge from very large data amount of  and can then retrieve the information from these data. In this research, which used data mining with association rules is apriori method. Apriori method is used to find association patterns with a certain confidence level. Association rules used to know and give of information to find items is often be purchased together by customers. The data mining was be implemented by using Borland Delphi software and PostgreSQL databases to get information about the patterns of association rules from transaction data of item in the sale of Chorus Minimarket. Expected to application of data mining can provide benefits for the Chorus Minimarket later.
Co-Authors A.A. Ketut Agung Cahyawan W Agustian, Harliyus Akbar Maulana Tirta Alprianta, Hizkia Anggraini Kusumaningrum Anggraini Kusumaningrum, Anggraini Anis Syaul Umami Ari Restani Ari Wibowo Ari Wibowo Arwin Datumaya Wahyudi Sumari Astika Ayuningtyas Astika Ayuningtyas Astika AyuningTyas, Astika Atika Rina Baginda Suryanto Baiq Dinasti Gita Purnama Putri Dewi, Ni Kadek Ceryna Dimas Satriadi Dwi - Nugraheny Dwi Nugrahenny, Dwi Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny, Dwi Dwi Prasetiyo Dwipayani, Made Intan Eko Suryanto Eko Suryanto Emy Setyaningsih Erika Silvia Sihombing Fera Suprapti Freddy Kurniawan Gita Purnama Putri, Baiq Dinasti Hadiyanti, Widya Anggraeni Hamdani Widyatmoko HARLIYUS AGUSTIAN Harliyus Agustian Haruno Sajati Hasibuan, Piniel Romulia Hizkia Alprianta Humaerah, Mutiah Ifrisma, Irisma Irawaty, Mardiana Irisma Ifrisma Ismi Yuniati Istiqomah Nuraini Linda Putri Susanti Made Intan Dwipayani Mandasari, Yofy Marinata Vanny Tarida Sitohang Maya Suhayati Mega Lesya Mukti, Mega Lesya Muhammad Rivai Muhammad Syaifuddin Muntaqi, Rifdan Mutiah Humaerah Ni Kadek Ceryna Dewi Nurcahyani Dewi Retnowati Nurcahyani Dewi Retnowati Nurcahyani Dewi Retnowati Nuryatno, Edi Triono Omara, Safik Pandapotan Pandapotan Pandapotan, Pandapotan Piniel Romulia Hasibuan Prasetiyo, Dwi Pujiastuti, Asih Restani, Ari Rifdan Muntaqi Rina Widiastuti Rina Widiastuti, Rina Rina, Atika Safik Omara Saiful Bahri Salam Aryanto Saprudin - - Sapto Aji Wibowo Saputra, Vendy Yuda Satriadi, Dimas Sembiring, Rinawati Sihombing, Erika Silvia Siti Anisah Siti Anisah Sitohang, Marinata Vanny Tarida Slamet Santosa Sudirman Sudirman Suhayati, Maya Sumarsono Sumarsono Sumarsono Sumarsono Suprapti, Fera Suryanto Suryanto Suryanto Suryanto Suryanto, Baginda Susanti, Linda Putri Tirta, Akbar Maulana Titien Sediartie Titien Sediartie Umami, Anis Syaul Vendy Yuda Saputra Widya Anggraeni Hadiyanti Widyatmoko, Hamdani Wintolo, Hero Wiyono, Koko Yofy Mandasari Yoga Yuniadi Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih Yuniati, Ismi