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All Journal Indonesian Journal of Applied Statistics Jurnal Ilmiah Sinus Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara)

Wawan Laksito Yuly Saptomo

STMIK Sinar Nusantara Surakarta

Author-ID : 3669727

Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science

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Articles

Penerapan Metode Naive Bayes Untuk Klasifikasi Pelanggan Hakam Febtadianrano Putro; Retno Tri Vulandari; Wawan Laksito Yuly Saptomo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.500

Business location plays an important role in sales. The business location in cities makes the seller easier to distribute activities for people. Distribution activities are closely related to sales activities. If there is a sales transaction, a classification of potential and non-potential customers will be required. One method that can be used for classification is mining data. One of the most frequently used data mining for classification is the Naive Bayes method. The attributes used in the customer classification process are purchase amount, time interval, and location. The result of the classification system is 23 true reactions and 2 false reactions. Based on the results are using the confusion matrix method, it shows that the accuracy value reaches 92%, the precision value reaches 100%, the recall value reaches 91%.Keywords: Trading Business, Customer Classification, Naive Bayes, Confusion Matrix

PENERAPAN METODE DOUBLE EXPONENTIAL SMOOTHING UNTUK PERAMALAN TINGKAT INDEKS PEMBANGUNAN MANUSIA BERBASIS SISTEM INFORMASI GOEGRAFIS DI PROVINSI JAWA TENGAH Roni Yoga Irawan; Wawan Laksito Yuly Saptomo; Setiyowati Setiyowati
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 7, No 2 (2019): Jurnal TiKomSiN, Vol.7, No. 2, 2019
Publisher : STMIK Sinar Nusantara

The basic goal in quality human development is to overcome problems in society are poverty, unemployment, illiteracy, food security and democracy enforcement. But in its achievements there are several aspects of development that failed. To measure the success of a region's performance in the field of human development can be done by calculating the Human Development Index. The Human Development Index is an index that includes three indicators, which are health indicators, education level, and economic indicators. The Province of Central Java is divided into 29 districts and 6 cities, so it has a varied picture of development. Provinsi Jawa Tengah belum memiliki media informasi peramalan yang berbasis peta untuk indeks pembangunan manusia. Dari permasalahan tersebut diperlukan metode untuk meramalkan Indeks Pembangunan Manusia yang berbasis sistem informasi geografis.Data indikator penyusun Indeks Pembangunan Manusia yang mengalami kenaikan pada periode-periode tertentu, dari pola data indikator penyusun Indeks Pembangunan Manusia merupakan pola data yang memiliki unsur trend. Maka pada penelitian ini menggunakan metode double exponential smoothing.The application forecasting the Human Development Index indicator is created using the PHP programming language and the MySQL Server database. Application of Human Development Index forecasting produces forecasting calculations with the value α = 0.9 produces forecasting the following year: 69.3612 with the smallest MSE error: 0.1578 and MAPE value: 0.4894. This study produces accurate forecasting because of low error values.

Evaluasi Penerapan Aplikasi Sistem Keuangan Desa (Siskeudes ver. 2.0.3) dalam Peningkatan Kinerja Aparat Desa menggunakan Task Technology Fit Wawan Laksito Yuly Saptomo; Iwan Prasetyo; Bambang Satrio Nugroho; Elistya Rimawati
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.580

The Village Financial System (Siskeudes) is an information system that assists the village government in reporting transparent and accountable financial reports. On the other hand, there are adjustments to financial management during the Covid-19 pandemic, so Siskeudes application also needs to accommodate these adjustments. Moreover, various problems were found in this system such as delays in financial reporting and recording errors. One of the factors of the problem is the mismatch of tasks in operating the application. This study aims to analyze the causes and consequences of task mismatches using the Task Technology Fit (TTF) model. The study described in this paper used the technology-to-performance chain as a framework to address the question of how task–technology fit influences the performance impacts. Respondents in this study were 50 village officials in Boyolali district who had used Siskeudes Ver. 2.0.3. This study was analyzed using a questionnaire with closed questions and open questions. This research method used Partial Least Square (PLS) using SmartPls 3.3.3. In addition, the results of this study indicated that the task of the technology-fit model has a significant effect on Performance Impact. Villages also have apparatus in accordance with Siskeudes operations. In this case, the finance department (having knowledge in finance) have a better level of performance. However, there are some villages where the operation of Siskeudes assisted by non-financial officials so that utilization does not have a significant effect on improving the performance of the finance department.

Analisis Diskriptif Technologi Acceptance Model pada Penerapan Blended Learning Elistya Rimawati; Wawan Laksito Yuly Saptomo
Jurnal Ilmiah SINUS Vol 17, No 2 (2019): Vol. 17 No. 2, Juli 2019
Publisher : STMIK Sinar Nusantara

The Blended Learning learning model is a system that collaborates classroom face-to-face learning with online learning. This study aims to measure the acceptance of the Blended Learning learning model among students. The variables developed refer to the Technology Acceptance Model (TAM), which is a model of user acceptance of information systems. The data obtained were analyzed by descriptive statistics and qualitative analysis. The results showed that in general the use of the Blended Learning learning model could be accepted by students in the category of Good approaching is Very Good. The mean value of all aspects reached a value of 3.94 on a scale of 5 (79%). The results of qualitative analysis were in line with the results of quantitative analysis. Students received good use of e-Learning while maintaining face-to-face learning activities in class. The results of this study can be used as a basis for recommending the selection of learning methods in universities

IMPLEMENTASI LOGIKA FUZZY PADA PEMBUATAN KARAKTER MUSUH UNTUK GAME SINGLE FIGHTER BERPLATFORM ANDROID Fajar Mitasari; Wawan Laksito Yuly Saptomo; Sri Siswanti
Jurnal Ilmiah SINUS Vol 15, No 1 (2017): Januari 2017
Publisher : STMIK Sinar Nusantara

This adventure game tells the story of an elephant who struggles to save his son from enemy prisoners. Elephants should be able to beat all three enemies, namely monkeys, wolves, and kingkong to be able to find his son. In the course of fighting the enemy will be no relief in the form of bombs and weapons are power ups in the form of apples to increase the number of lives player. The behavior of the enemy characters in this game are designed with the application of fuzzy logic Sugeno method. Each enemy by artificial intelligence has a health status (lives), ammo (the number of stones to attack the player) and distance (distance to the player during the attack). This game has a rule of implementation Sugeno Fuzzy Logic method for calculating the value of output behavior of the enemy in attacking player. The system design of the game is using the storyboard that contains a description of the story of each scene and any component material that will be used. Then the algorithm implementation using the Unity game development software. For game development, programming language used is C # of Unity. The results of this study are the Application Game "Single Fighter" that has succeeded in publishing in the Google Play Store are made of Unity game engine, side-scrolling genre game, and the android platform. From the application of fuzzy logic in this game also has gone well, where there are 41 types of enemy attackers%, 36% type of archer-distance and 87% of type giant enemy very aggressive in attacking player. Kata Kunci: Game, Logika Fuzzy, Sugeno, Unity, Android

Application of K-Means Clustering in Mapping of Central Java Crime Area Retno Tri Vulandari; Wawan Laksito Yuly Saptomo; Danar Wijaya Aditama
Indonesian Journal of Applied Statistics Vol 3, No 1 (2020)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v3i1.40984

Crimes occur in many places and cause complex problems that have widespread impacts on all levels of society. Crime is related to several factors including crime index, the ratio of the number of police to the population, population density and poverty rates. In this study trying to develop an information system that is able to display and map crime-prone areas in Central Java. Based on these factors, it is used to classify regions in Central Java, namely the category of safe, quite vulnerable, vulnerable and very vulnerable. K-Means clustering method, is very suitable to be used in predicting and grouping which areas are included in the 4 categories. The formulation of the problem is to find out areas prone to crime in Central Java. Based on the results, there are 11 regions with safe categories, 4 areas with quite vulnerable categories, 13 regions with vulnerable categories and 6 regions with very vulnerable categories.Keywords : K-Means clustering, mapping, Central Java, criminality, crime area.

Co-Authors Bambang Satrio Nugroho Danar Wijaya Aditama Fajar Mitasari Hakam Febtadianrano Putro Iwan Prasetyo Retno Tri Vulandari Rimawati, Elistya Roni Yoga Irawan Setiyowati Sri Siswanti

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