High Education of Organization Archive Quality: Jurnal Teknologi Informasi最新文献_第3页

PENERAPAN METODE FUZZY K-NEAREST NEIGHBOR (FK-NN) UNTUK MENENTUKAN PENYAKIT PADA TERNAK SAPI POTONG 采用模糊的K-NEAREST方法来确定屠宰牛的疾病

High Education of Organization Archive Quality: Jurnal Teknologi Informasi Pub Date : 2018-12-31 DOI: 10.52972/hoaq.vol10no2.p66-72

Yohanis Malelak, Junandra H Tomasoey

{"title":"PENERAPAN METODE FUZZY K-NEAREST NEIGHBOR (FK-NN) UNTUK MENENTUKAN PENYAKIT PADA TERNAK SAPI POTONG","authors":"Yohanis Malelak, Junandra H Tomasoey","doi":"10.52972/hoaq.vol10no2.p66-72","DOIUrl":"https://doi.org/10.52972/hoaq.vol10no2.p66-72","url":null,"abstract":"Cattle are one of the livestock commodities that are a mainstay as a source of protein. Animal is meat that is quite well known in the community. Decent meat taken from healthy livestock and free from diseases caused by diseases suffered by cattle must be handled seriously. Beef cattle breeders in East Nusa Tenggara, especially young cattle breeders, are hard to find by medical personnel such as compilation veterinarians to find sick cattle. On the other hand, the Livestock Service Office of NTT Province annually collects cattle disease data to draw conclusions about animal diseases in the regency / city in East Nusa Tenggara. Through data from the Kupang District Animal Husbandry Service, East Nusa Tenggara with data mining techniques can predict livestock disease using the Fuzzy K-Nearest Neighbor (FK-NN) algorithm. Fuzzy K-Nearest Neighbor (FK-NN) algorithm works by receiving input of diseases as input, then it will be processed with FK-NN algorithm and the results of processing become diagnoses of diseases suffered and therapeutic suggestions for diseases in beef cattle So it can increasing the yield of beef collected from beef cattle and minimizing the costs incurred by cattle farmers to care for infected livestock to consult with veterinarians.","PeriodicalId":193691,"journal":{"name":"High Education of Organization Archive Quality: Jurnal Teknologi Informasi","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127334865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

EVALUASI KINERJA KLASIFIKASI DATA UNTUK LAYANAN AKADEMIK DAN PREDIKSI KELULUSAN MAHASISWA 学术服务的数据分类评估和学生毕业预测

High Education of Organization Archive Quality: Jurnal Teknologi Informasi Pub Date : 2018-12-31 DOI: 10.52972/hoaq.vol10no2.p87-91

Meliana O. Meo, Donzilio Antonio Meko

{"title":"EVALUASI KINERJA KLASIFIKASI DATA UNTUK LAYANAN AKADEMIK DAN PREDIKSI KELULUSAN MAHASISWA","authors":"Meliana O. Meo, Donzilio Antonio Meko","doi":"10.52972/hoaq.vol10no2.p87-91","DOIUrl":"https://doi.org/10.52972/hoaq.vol10no2.p87-91","url":null,"abstract":"STIKOM Uyelindo Kupang was established in the year 2000 as an information technology-based tertiary institution which has three study programs, namely under graduate of informatics engineering, diploma three informatics engineering and under graduate of information systems. The three study programs always strive to improve the status of accreditation by continuously improving internal quality and making accreditation a strategy to compete with other universities. To maintain quality, STIKOM Uyelindo Kupang, especially the undergraduate informatics engineering study program routinely monitors and evaluates the performance of lecturers. The problem that is often faced in routine monitoring and evaluation of lecturer performance is the performance evaluation process that is still objective so that to overcome these problems, a decision support system is needed that can assist in evaluating the performance of lecturers at STIKOM Uyelindo Kupang. The purpose of this study is to make a decision support system for the assessment of performance of lecturers of the first-degree informatics engineering study program at STIKOM Uyelindo Kupang using TOPSIS method. The results of this study are in the form of a desktop-based application that can facilitate the monitoring and performance evaluation teams of lecturers in evaluating the performance of lecturers of study programs.","PeriodicalId":193691,"journal":{"name":"High Education of Organization Archive Quality: Jurnal Teknologi Informasi","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127723350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PERBANDINGAN EKSTRAKSI TEKSTUR CITRA UNTUK PEMILIHAN BENIH KEDELAI DENGAN METODE STATISTIK ORDE I DAN STATISTIK ORDE II 大豆选择的图像纹理提取比较与顺序I和顺序2的统计方法进行比较

High Education of Organization Archive Quality: Jurnal Teknologi Informasi Pub Date : 2018-12-31 DOI: 10.52972/hoaq.vol10no2.p92-102

Yampi R. Kaesmetan

{"title":"PERBANDINGAN EKSTRAKSI TEKSTUR CITRA UNTUK PEMILIHAN BENIH KEDELAI DENGAN METODE STATISTIK ORDE I DAN STATISTIK ORDE II","authors":"Yampi R. Kaesmetan","doi":"10.52972/hoaq.vol10no2.p92-102","DOIUrl":"https://doi.org/10.52972/hoaq.vol10no2.p92-102","url":null,"abstract":"The problem in determining the selection of soybean seeds for replanting, especially in East Nusa Tenggara is still an important issue. The thing that affects the quality of soybean seeds is found broken seeds, dull seeds, dirty seeds, and broken seeds due to the process of drying and shelling. Determination of soy bean quality is usually done manually by visual observation. The manual system takes a long time and produces products with inconsistent quality due to visual limitations, fatigue, and different perceptions of each observer. This research was conducted using comparison of image texture extraction with statistical methods of order I (color moment) and order II statistics (GLCM) for soy bean selection. Order I statistics (color moment) show the probability of the appearance of the value of the gray degree of pixels in an image, while the order II statistics (GLCM) show the probability of a neighborhood relationship between two pixels that form a cohesion matrix from the image data. This research is expected to help the classification process in determining soybean seeds. The k-Nearest Neighbor (k-NN) algorithm used in previous studies to classify the image objects to be examined. The results of this study were successfully conducted using k-Nearest Neighbor (k-NN) with euclidean distance and k = 1 with the results of color moment extracts getting the highest accuracy of 88% and the results of GLCM feature extraction for homogeneity characteristics of 75.5%, correlations of 78.67% , contrast is 65.75% and energy is 63.83% with an average accuracy of 70.93%.","PeriodicalId":193691,"journal":{"name":"High Education of Organization Archive Quality: Jurnal Teknologi Informasi","volume":"28 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129081606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PREDIKSI HASIL PANEN PADI KABUPATEN & KOTA DI PROPINSI NUSA TENGGARA TIMUR DENGAN FUZZY INFERENCE SYSTEM (FIS)

High Education of Organization Archive Quality: Jurnal Teknologi Informasi Pub Date : 2018-05-31 DOI: 10.52972/hoaq.vol10no1.p42-48

Yampi R. Kaesmetan

{"title":"PREDIKSI HASIL PANEN PADI KABUPATEN & KOTA DI PROPINSI NUSA TENGGARA TIMUR DENGAN FUZZY INFERENCE SYSTEM (FIS)","authors":"Yampi R. Kaesmetan","doi":"10.52972/hoaq.vol10no1.p42-48","DOIUrl":"https://doi.org/10.52972/hoaq.vol10no1.p42-48","url":null,"abstract":"Rice (Oryza sativa) is a staple food source for the people of Indonesia. Most of the rice consumed is the result of national rice productivity. Often the government has difficulty in estimating the adequacy of basic food items that can be provided by domestic agriculture. Therefore a method is needed to predict rice yields accurately and precisely. The agricultural sector in East Nusa Tenggara is not a flagship of the community's economic activities. This is due to the geographical conditions of NTT which are less supportive for business activities in the agricultural sector. Even so, the prediction of agricultural products, especially rice yields, is needed to be predicted so that a forecast can be obtained in determining rice yields in 2017. Fuzzy logic method in this case Fuzzy Inference System (FIS) is widely applied for forecasting or prediction. Fuzzy logic has a slowness in predicting crop yields for the following year based on crop yields in the previous year and information taken from the fuzzy information provided. Fuzzyinformation can be made a rule or rule as a consideration in predicting yields. By using the formula of Mean Absolute Percentage Error (MAPE) or Average Absolute Error, from the Fuzzy Mamdani model The Fuzzy Inference System (FIS) with the Mamdani model that has been built can be used to estimate the amount of rice production in the City District in NTT with the truth value reaching 97.8%. To determine the amount of rice production in 2017, the data is processed by using the help of the Matlab 2012 fuzzy toolbox software using the centroid method for defuzzification.","PeriodicalId":193691,"journal":{"name":"High Education of Organization Archive Quality: Jurnal Teknologi Informasi","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127502803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SISTEM REKOMENDASI DESTINASI WISATA DI KOTA KUPANG DENGAN METODE WEIGHTED PRODUCT 采用weghted PRODUCT方法推荐库邦的旅游目的地系统

High Education of Organization Archive Quality: Jurnal Teknologi Informasi Pub Date : 2018-05-31 DOI: 10.52972/hoaq.vol10no1.p30-34

Marlinda Vasty Overbeek, Remerta Noni Naatonis

{"title":"SISTEM REKOMENDASI DESTINASI WISATA DI KOTA KUPANG DENGAN METODE WEIGHTED PRODUCT","authors":"Marlinda Vasty Overbeek, Remerta Noni Naatonis","doi":"10.52972/hoaq.vol10no1.p30-34","DOIUrl":"https://doi.org/10.52972/hoaq.vol10no1.p30-34","url":null,"abstract":"From 2006 to the latest data collection in 2017, the number of domestic and foreign tourists visiting East Nusa Tenggara is increasing. In Kupang city as the provincial capital of East Nusa Tenggara. Kupang City is not just a temporary stop when tourists want to transit to other islands in East Nusa Tenggara but have become tourist destinations. The increasing number of tourist visits is not accompanied by a system of recommendations about tourist destinations in the city of Kupang, In this study a recommendation system was built in Kupang City using the weighted product method, which is one of the techniques of Multiple Alternative Decision Making. Weighted products use multiplication to connect attribute ratings. The criteria used in this study are 3 criteria, namely costs, facilities provided and reviews from previous visitors. While for locations or tourist destinations there are 55 tourist destinations in Kupang City which are the alternatives in this study. From the results of the study, for natural attractions, Namosain Beach ranked first to be visited with a value of 0.00519. As for artificial tourism objects, Nostalgia Park is the first place with a value of 0.0805. As for culinary tourism, Nostalgia Park culinary ranks first at 0.0904.","PeriodicalId":193691,"journal":{"name":"High Education of Organization Archive Quality: Jurnal Teknologi Informasi","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125929278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

VISUALISASI 3D KOS MOSEIM SEBAGAI MEDIA PEMBELAJARAN MENGGUNAKAN TEKNIK AEC EXTENDED 3DS MAX

High Education of Organization Archive Quality: Jurnal Teknologi Informasi Pub Date : 2018-05-31 DOI: 10.52972/hoaq.vol10no1.p1-5

Benyamin Jago Belalawe

引用次数: 0

SISTEM PAKAR DETEKSI PENYAKIT GINJAL BERBASIS MOBILE ANDROID 系统检测ANDROID移动肾病专家

High Education of Organization Archive Quality: Jurnal Teknologi Informasi Pub Date : 2018-05-31 DOI: 10.52972/hoaq.vol10no1.p6-13

E. A. U. Malahina

引用次数: 1

ANALISIS ANGGARAN RITUAL ADAT SAPU BERBASIS MOBILE WEB 基于WEB的基于扫帚的部落仪式预算分析

High Education of Organization Archive Quality: Jurnal Teknologi Informasi Pub Date : 2018-05-31 DOI: 10.52972/hoaq.vol10no1.p14-22

Emanuel Safirman Bata

{"title":"ANALISIS ANGGARAN RITUAL ADAT SAPU BERBASIS MOBILE WEB","authors":"Emanuel Safirman Bata","doi":"10.52972/hoaq.vol10no1.p14-22","DOIUrl":"https://doi.org/10.52972/hoaq.vol10no1.p14-22","url":null,"abstract":"The Sapu ceremony is a ceremony carried out by the people of So'a in general and the people of Lo'a in particular. This ceremony is held only for adult men both those who are married and those who have not. To be able to carry out a successful event requires careful planning and good implementation. The choice of place of ceremony, invitation, consumption and luggage must be planned from the start. Some of the reasons for the swelling rituals of traditional Sapu rituals are that the organizers of the rituals focus less on the amount of the budget, follow all the wishes of others, lack information, handle everything themselves and are less strict in determining the number of guests. Traditional Sapu rituals, like other projects, require careful planning in which the amount of the budget is followed by the deadline that must be met. Planning traditional Sapu rituals is a complex job, and can be large and spend a considerable amount of time. If it is not well planned, the traditional Sapu ritual cannot run smoothly. Based on these problems, a mobile-based website was built that can help the admin, calculating the amount of budget needed to hold the traditional Sapu ritual. Facilitate the process of recapitulation and printing of financial reports per participant and total funds overall. In terms of appearance, it is good, interactive and user friendly, easy to read and understand, and the choice of colors that are comfortable and beautiful to look at. The website is created using the PHP programming language. To manage the database management system (DBMS), MySQL is used.","PeriodicalId":193691,"journal":{"name":"High Education of Organization Archive Quality: Jurnal Teknologi Informasi","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121589973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IMPLEMENTASI K-NEAREST NEIGHBORD PADA RAPIDMINER UNTUK PREDIKSI KELULUSAN MAHASISWA 最近为学生毕业预测的K-NEAREST目标

High Education of Organization Archive Quality: Jurnal Teknologi Informasi Pub Date : 2018-05-31 DOI: 10.52972/hoaq.vol10no1.p35-41

Sumarlin Sumarlin, Dewi Anggraini

{"title":"IMPLEMENTASI K-NEAREST NEIGHBORD PADA RAPIDMINER UNTUK PREDIKSI KELULUSAN MAHASISWA","authors":"Sumarlin Sumarlin, Dewi Anggraini","doi":"10.52972/hoaq.vol10no1.p35-41","DOIUrl":"https://doi.org/10.52972/hoaq.vol10no1.p35-41","url":null,"abstract":"Data on graduate students is an important part in determining the quality of a private and public university. Graduate data is included in important assessments in the accreditation process. Data from Uyelindo Kupang STIKOM graduates every year will continue to grow and accumulate like neglected data because it is rarely used. To maximize student data into information that can be used by universities, the data must be processed in this case used as training data in a study using data mining to obtain information in the form of predictions of graduation from Kupang Uyelindo STIKOM students. The method used in this study is K-Nearest Neighbor using rapidminer software to measure K-Nearest Neighbor's accuracy against student graduate data. The criteria used were in the form of student names, gender, cumulative achievement index (GPA) from semester 1 to 6. In applying the K-Nearest Neighbor algorithm can be used to produce predictions of student graduation. To measure the performance of the k-nearest neighbor algorithm, the Cross Validation, Confusion Matrix and ROC Curves methods are used, in this study using a 5-fold cross validation to predict student graduation. From 100 student dataset records Uyelindo Kupang STIKOM graduates obtained accuracy rate reached 82% and included a very good classification because it has an AUC value between 0.90-1.00, which is 0.971, so it can be concluded that the accuracy of testing of student graduation models using K-Nearest Neighbor (K-NN) algorithm is influenced by the number of data clusters. Accuracy and the highest AUC value of 5-fold validation is to cluster data k = 4 with the accuracy value of 90%.","PeriodicalId":193691,"journal":{"name":"High Education of Organization Archive Quality: Jurnal Teknologi Informasi","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121182245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

ANALISA DAN PERANCANGAN PREDIKSI TINGKAT PRESENTASI MAHASISWA BARU MASUK SEBAGAI MAHASISWA AKTIF DI STIKOM UYELINDO KUPANG MENGGUNAKAN ROUGHT SET 分析和预测的设计水平，以活跃的学生在sticom UYELINDO KUPANG上使用ROUGHT SET

High Education of Organization Archive Quality: Jurnal Teknologi Informasi Pub Date : 2018-05-31 DOI: 10.52972/hoaq.vol10no1.p23-29

Erna Rosani Nubatonis

{"title":"ANALISA DAN PERANCANGAN PREDIKSI TINGKAT PRESENTASI MAHASISWA BARU MASUK SEBAGAI MAHASISWA AKTIF DI STIKOM UYELINDO KUPANG MENGGUNAKAN ROUGHT SET","authors":"Erna Rosani Nubatonis","doi":"10.52972/hoaq.vol10no1.p23-29","DOIUrl":"https://doi.org/10.52972/hoaq.vol10no1.p23-29","url":null,"abstract":"Acceptance of new students is the most important part of STIKOM UYELINDO Kupang as one of the benchmarks for the progress of the campus in the future. In the process of admitting new students (PMB), prospective new students must go through several stages of registration until the stage of filling out the KRS, so that the students concerned are legitimately declared as active students of STIKOM UYELINDO KUPANG. However, many cases occur that not all students arrive at the final stage of filling in the KRS to be declared as active students. Problems that occur result in the division responsible for new students difficult to predict that prospective students concerned in the process of admitting new students, will go through the process until the status of filling KRS or not, and also affect the prediction of the number of new student achievement. This study aims to find out and recognize the pattern of classification of new student registration status so that the level of presentation of new students entering the STIKOM UYELINDO KUPANG can be made by applying the rough set algorithm. In the process of applying Rough Set, it will produce a rule as a rule or pattern for classification of new student registration status data. The data used in this study is the data of new student registration in 2016-2018 with a total record of 579 records. The results of this study are expected to be an important input for the responsibility of new students and high school education institutions, in the strategy of screening new students to achieve the target of better new student admissions.","PeriodicalId":193691,"journal":{"name":"High Education of Organization Archive Quality: Jurnal Teknologi Informasi","volume":"602 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134332523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0