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PENERAPAN DATA MINING DENGAN METODE INTERPOLASI UNTUK ESTIMASI PREMI BERDASARKAN PENDAPATAN NASABAH ASURANSI PRUDENTIAL DI YOGYAKARTA Pandapotan, Pandapotan; Honggowibowo, Anto Setiawan; Nugraheny, Dwi
Compiler Vol 1, No 2 (2012): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

Premi in a definition can be interpreted as a fee to be paid by the customer, which is a combination of the overall cost of insurance benefits that used, and sometimes also include the amount of money invested by customers. The output of the data mining is a customers is accepted according to the prudential value of the estimated premi be gained from the number of customer revenue.Final project is, created a program of web-based application system to estimate the premi to make it easier for admin (prudential employee)  to determine the amount of premi to be paid by the customer. In this program, admin (prudential employee) just need to know the amount of customer’s income that the program will then process the results of the estimated premi.The test results is concluded that the program estimates the premi can be used easily by the admin (prudential employee) and simplify admin decisions premi estimate to the customer.
SISTEM PAKAR PENILAIAN PENGUASAAN MATERI PELAJARAN BERBASIS WEBSITE DENGAN METODE BAYESIAN NETWORK (Studi Kasus di SMA Angkasa Yogyakarta) Dewi, Ni Kadek Ceryna; Honggowibowo, Anton Setiawan; Nugraheny, Dwi
Compiler Vol 2, No 1 (2013): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

School is a place to study to implement the learning process. However, along with the development of teaching and learning technologies now can be done outside of school one of them with online media. Students at the school will usually feel a saturation point with the delivery of material in class with the different character of the teacher. For it is made a program that could provide a new learning method. Bayesian Network Methods is a Directed Acyclic Graph (DAG) and comes with a Conditional Probability Distribution Table (CPT) for each node. Bayesian Network Methods is running on the calculations to find the value of the results of the examination of the student. From the research that has been conducted on the " Expert System Assessment Mastery Of Subject Matter Of Website Based With Bayesian Network Method” o f the obtained results for the average student's ability to answer every question with 5 topics there is 28.66% from 50%.
PERANCANGAN APLIKASI MANAJEMEN PERALATAN JARINGAN KOMPUTER Sudirman, Sudirman; Sumarsono, Sumarsono; Honggowibowo, Anton Setiawan
Compiler Vol 2, No 1 (2013): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

Nowadays computer not only as a device, but also it needs to data access in order to more efficient and to do tasks that involve the other computers, so network administrator needs some ease and efficiency when configure and network troubleshoot. Therefore, with router a protocol can be share to the other network devices, beside that switch can also filters and flows the packet that exist in a LAN (Local Area Network), so it can work for anything protocol packet. This network equipment management application is to configure utility with input several data that available so that more efficient for user. The result o f this application is can help administrator and newborn administrator to ease in configure router.
SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT DAN HAMA PADA TANAMAN SALAK DI TURI SLEMAN Honggowibowo, Anton Setiawan; Pujiastuti, Asih; Susanti, Linda Putri
Compiler Vol 6, No 1 (2017): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

Expert systems are systems that adopt human knowledge into computers designed to solve problems like an expert. Salak plants, especially in TuriSleman Yogyakarta area has several obstacles such as diseases and pests in salak plants which is a problem for salak farmers. Expert research Expert system to diagnose diseases and pests in this salak crop helps salak farmers overcome the problems of disease and pests. Salak farmers only need to enter the symptoms experienced in the barking plants later data will be processed symptoms entered by the system. This application performs checks with the system as consulted with a salak plant experts to find out the diseases and pests that attack on the barking plants and find solutions. Implementation in this application using TOPSIS method, TOPSIS method yields the highest rank value for the final result value. This application takes data and performs testing in UPT BP4 Region V Sleman with Turi OPT (Plant-disturbing organisms) officer.
Pelatihan Mendesain Artikel Artistik Menggunakan Microsoft Word Bagi Kelas 5 SD di SDIT Salsabila Al Muthi’in Yogyakarta Ayuningtyas, Astika; Retnowati, Nurcahyani Dewi; Pujiastuti, Asih; Indrianingsih, Yuliani; Honggowibowo, Anton Setiawan
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 2, No 1 (2019): Januari
Publisher : Sekolah Tinggi Teknologi Adisutjipto

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Abstract

Teknologi Informasi dan Komunikasi (TIK) pada jaman sekarang sangat dibutuhkan oleh setiap masyarakat baik itu orang dewasa maupun anak-anak. Khususnya pada anak-anak, sangat dibutuhkan pelatihan penggunaan perangkat teknologi informasi dan komunikasi agar nantinya anak-anak dapat memanfaatkannya dengan baik. Salah satunya adalah dengan melatih kemampuan mendesain artikel artistik dengan memanfaatkan aplikasi pengolah kata yaitu Microsoft Word. Microsoft Word adalah aplikasi pengolah kata yang sangat populer pada saat ini,dengan aplikasi tersebut dapat memudahkan kerja manusia, salah satunya dalam membuat artikel. Kegiatan pengabdian pada masyarakat dititik beratkan dalam bentuk pelatihan tentang cara mendesain artikel artistik menggunakan software Ms.Word bagi siswa-siswi kelas 5 di SDIT Salsabila Al Muthi’in Yogyakarta. Diharapkan dengan adanya pelatihan tersebut, siswa-siswi dapat lebih mengetahui tentang teknik mendesain yang artistik dengan memanfaatkan Microsoft Word dan penggunaannya sehingga dapat membantu saat pengerjaan tugas sekolah maupun meningkatkan kreativitas. Hasil dari kegiatan pengabdian yang dilaksanakan memberikan pengalaman dan ketrampilan pada para siswa di SDIT Salsabilla Al-Muthi’in dalam mendesain artikel yang artistik dengan memanfaatkan Microsoft Word. Dengan demikian, pelaksanaan kegiatan pengabdian kepada masyarakat dengan judul “Pelatihan Mendesain Artikel Artistik Menggunakan Microsoft Word Bagi Kelas 5 SD di SDIT Salsabila Al Muthi’in Yogyakarta” memberikan manfaat yang signifikan bagi peningkatan keterampilan siswa siswi dalam memanfaatkan teknologi informasi dan komputer, khususnya untuk membuat artikel artistik.
ANALISIS PERBANDINGAN METODE FUZZY INFERENSI SISTEM TSUKAMOTO DAN MAMDANI DALAM PENENTUAN ESTIMASI JUMLAH PRODUKSI GULA Hadiyanti, Widya Anggraeni; Honggowibowo, Anton Setiawan; Suhayati, Maya
Compiler Vol 2, No 1 (2013): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

PT Madu Baru Yogyakarta s a company that produces sugar. Many factors must be considered in determining the mount o f production generated annually. For that, in determining the  mount of production per year required and analysis of decision support systems analysis will be done applying Method of Fuzzy Inference System Tsukamoto end Method Inference System Mamdani using the min as function o f its implications, the from each rule give nextplicitly (scrip) by the smallest degree of membership (Defuzzifikasi), the final result by applying a weighted average for Fuzzy Inference System defuzzyfikasi begins the composition rules between Max and the Method apllied taking the center point (z*) fuzzy area. With the comparison method of Fuzzy Inference System and Method of Fuzzy Inference System Mamdani, obtained the most appropriate methods and approaches in determining the estimated amount o f sugar production, in order to obtain an output that is the amount o f sugar per year.With statistical tests, it can be concluded that the method is relatively close to the calculation method of the factory is Tsukamoto, because the method o f Tsukamoto had a lower mean than the mean on the 7,960.42 Mamdani methods is 21710.14.
SISTEM PENDUKUNG KEPUTUSAN PREDIKSI JUMLAH PENUMPANG UNTUK EVALUASI KAPASITAS HALTE BUS TRANS JOGJA DENGAN METODE EXPONENTIAL SMOOTHING DAN LEAST SQUARE Prasetiyo, Dwi; Honggowibowo, Anton Setiawan; Indrianingsih, Yuliani
Compiler Vol 2, No 1 (2013): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

The increasing number o f passengers Trans Jogja bus stops can result in the existing capacity can not accommodate the number of passengers comfortably. Problems that often arise include delays resulting bus passenger waiting time is longer and there is a buildup of the number of passengers at stops. As a result of these problems, the capacity o f passenger stops can be full so that prospective passengers waiting outside the bus stop. Forecasting is one very important element in the decision. In this study using stationary and trend forecasting the data because the data are not significant changes between time and swell in certain periods and a normal in periods others. Time series methods for forecasting the number o f passengers on the Trans Jogja stop using exponential smoothing calculation and least square. From these calculations the value sought MAD (Mean Absolute Deviation) or least square error is exponential smoothing and forecasting results with small error. Forecasting will be better if it contains fewer possible errors.
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 POSISI PEMAIN IDEAL DALAM TIM SEPAK BOLA DENGAN METODE ALGORITMA GENETIKA Alprianta, Hizkia; Honggowibowo, Anton Setiawan; Indrianingsih, Yuliani
Compiler Vol 1, No 2 (2012): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

So far, there are coaches who are less precise in determining the ideal position of the player as it only relies on instinct and the ego of the players so that there is still a coach who has not been able to objectively assess the players.By utilizing the method of Genetic Algorithm as Decision Support System (DSS) in the process of determining the ideal position of a player who uses several criteria (multicriteria) to choose a proper player. DSS is helping coach in making the right decisions and Genetic Algorithm is used as a model for multicriteria weighting in the selection process. This application was built with tools Borland Delphi (7.0) as the user interface design and media processing PostgreSQL as its database.            Based on these results we can conclude that this application expected to assist the coaches in the decision making process and can change the appraisal of which are subjective to more objective, to determine the ideal position for a player, can determine the best position of each position of a number of players and the expected results of the Genetic Algorithm on the system constructed in accordance with the results of manual calculations.
SISTEM PAKAR UJI KOMPETENSI BAGI SISWA BERKEBUTUHAN KHUSUS AUTIS DENGAN MENGGUNAKAN METODE SINGLE LINKAGE Suryanto, Baginda; Honggowibowo, Anton Setiawan; Indrianingsih, Yuliani
Compiler Vol 3, No 1 (2014): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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Abstract

Conventional knowledge test on the learning outcomes that have been given by previous teachers, often making bored students with autism. The results obtained are less accurate and require teachers to perform even the repetition of material grading explanations often not objective. Provision of additional material not often right on target, and even students who need to get a repetition of material often do not get the repetition of material. Expert Systems Competency Test Program for Students with Special Needs Autism is designed with the needs of the school that is the subject of research and data collection. Cluster analysis works by grouping students by similarity score minimum euclidian distance of each data. This program tests every student and provide an explanation for the repetition of questions whose answers are not in accordance with the specified result.Program based on the use of Expert Systems Competency Test for Students with Special Needs Autism, the results obtained grouping students based on their level of intelligence that has been stored in the process of testing the competency test conducted by the students with autism. So that teachers can provide in the future teaching methods to suit the needs of students in order to enhance the level of intelligence of autistic students.