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Yampi R Kaesmetan
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HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi
Published by Sekolah Tinggi Manajemen Informatika Komputer Uyelindo Kupang
ISSN : 23375280     EISSN : 26207427     DOI : 10.52972
Core Subject : Science,
Computer Science & IT
Jurnal Jurnal High education of organization archive quality Teknologi Informasi merupakan Jurnal Ilmiah untuk menampung hasil penelitian yang berhubungan dengan bidang sains dan teknologi. Bidang penelitian yang dimaksud meliputi : Artificial Intelligence and Application, Business Intelligence, Cloud and Grid Computing, Computer Networking & Security, Computer-Based Multimedia Retrievel, Datawarehouse & Data Mining, Decision Support System, Enterprise System,(SCM, ERP, CRM), E-System (E-Business, E-Commerce, E-Government, E-Health), Expert & Knowledge-Based System, Fuzzy Logic, Genetic Algorithms, Geographics Information System, Human-Computer Interaction, Image Processing, Information Retrieval, Information System, IT Governance, Knowledge Management, Mobile Computing & Application, Multimedia System, Neural Networks, Open Source System & Technology, Pattern Recognition, Semantic Web, Software Engineering
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 64 Documents
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VISUALISASI 3D KOS MOSEIM SEBAGAI MEDIA PEMBELAJARAN MENGGUNAKAN TEKNIK AEC EXTENDED 3DS MAX Benyamin Jago Belalawe
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no1.p1-5

Abstract

Making learning media can create an effective, interesting, interactive and fun learning process. The usefulness of using diverse learning tools will be able to create learning variations. Current technological developments, especially in fields such as 3D. Learning media, especially 3D-based learning, can help users learn 3D. AEC (Architectural, Engineer, Construction) Extended is an extension of 3D features to make it easier for users to create 3D designs. The results of this study will be able to help facilitate users in creating 3D objects.
SISTEM PAKAR DETEKSI PENYAKIT GINJAL BERBASIS MOBILE ANDROID Edwin Ariesto Umbu Malahina
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no1.p6-13

Abstract

Non-communicable diseases are diseases with the highest mortality where the mortality rate for this disease is 73%. Kidney disease is one of the non-communicable diseases in which disorders that occur in the kidney, are in two organs shaped like red beans on both sides of the lower back, precisely below the rib cage. Kidney disease taken in this study were 7 diseases namely kidney stone, kidney failure, kidney cancer, acute kidney failure, kidney infection, kidney cysts and polycystic kidney disease. Where in detecting the symptoms of this disease, a truly expert system and expert data are needed, and the implementation of the system makes it easier to develop alternative services using an Android smartphone where users will choose symptoms to be detected early, of course only specifically for detecting kidney diseases. This system will be easy to apply and use because it has only one display. And this system has run well according to the rules of symptoms and diseases that are given or applied.
ANALISIS ANGGARAN RITUAL ADAT SAPU BERBASIS MOBILE WEB Emanuel Safirman Bata
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no1.p14-22

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.
ANALISA DAN PERANCANGAN PREDIKSI TINGKAT PRESENTASI MAHASISWA BARU MASUK SEBAGAI MAHASISWA AKTIF DI STIKOM UYELINDO KUPANG MENGGUNAKAN ROUGHT SET Erna Rosani Nubatonis
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no1.p23-29

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.
SISTEM REKOMENDASI DESTINASI WISATA DI KOTA KUPANG DENGAN METODE WEIGHTED PRODUCT Marlinda Vasty Overbeek; Remerta Noni Naatonis
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no1.p30-34

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.
IMPLEMENTASI K-NEAREST NEIGHBORD PADA RAPIDMINER UNTUK PREDIKSI KELULUSAN MAHASISWA Sumarlin Sumarlin; Dewi Anggraini
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no1.p35-41

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%.
PREDIKSI HASIL PANEN PADI KABUPATEN & KOTA DI PROPINSI NUSA TENGGARA TIMUR DENGAN FUZZY INFERENCE SYSTEM (FIS) Yampi R. Kaesmetan
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no1.p42-48

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.
PENGARUH SISTEM INFORMASI MANAJEMEN KEPEGAWAIAN TERHADAP PERENCANAAN SUMBER DAYA MANUSIA PADA BADAN KEPEGAWAIAN DAERAH KABUPATEN SIKKA Yohanes Jibrail Mado; Theresia Wihelmina Mado
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no1.p49-58

Abstract

The purpose of this study is to find out whether there is the influence of the Civil Service Management Information System on Human Resource Planning at the Regional Personnel Agency of Sikka District. The design of the research used is descriptive and comparative causal research through surveys. The purpose of descriptive research is to make a systematic, factual and accurate explanation of the facts and characteristics of a particular population or region. The technique of data collection is done by spreading questionnaires to n respondents to get answers that are in accordance with the research variables, as material to prove the proposed hypothesis. The sample in this study were 54 people. From the results of this study it was found that SIMPEG had a significant effect on HR planning in the Sikka City Personnel Agency. This study recommends that the Sikka District Personnel Agency that in implementing HR Planning can be carried out properly, if using accurate and accurate information. Such accurate and accurate information can be generated if SIMPEG supporting indicators are adequate and together work at the expected level.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENGEVALUASI KINERJA DOSEN PRODI DI STIKOM UYELINDO KUPANG MENGGUNAKAN METODE TOPSIS Franki Yusuf Bisilisin; Remerta R. Naatonis
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 2 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no2.p59-65

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
PERBANDINGAN INTERPOLASI DAN EKSTRAPOLASI NEWTON UNTUK PREDIKSIDATA TIME SERIES Marinus Ignasius Jawawuan Lamabelawa
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 2 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no2.p73-80

Abstract

For numerous purposes, time series data are analyzed to understand phenomena or behaviors of variables, and try to find future value. Interpolation is guessing time series data point between the range of data set. Extrapolation is predict or guessing time series data point from beyond the range of data set. In this study, Newton’s Extrapolation is compared with linear and squared extrapolation. Newton’s Extrapolation making the assumption that the observed trend continues for values of x outside the model range. The robustness of prediction using Root Mean Square Error (RMSE) and Mean Average Percentage Error (MAPE). The results of newton’s interpolation with bottom, middle, and top approaches found the best value are middle approach, namely RMSE 76,01 and MAPE 4,65%. In Newton’s Extrapolation, the error values are consistent at bottom, middle, and top approaches, namely RMSE 541,170 anda MAPE 33,19%. Based on data from the Statistics of Indonesia on the percentage and number of poor people in East Nusa Tenggara Province in 2010 -2018 is declining trend pattern. The error value with Linear, Quadratic, and Newton’s Extrapolation shows the robust value results at linear or trend extrapolation, namely RMSE 157,450 and MAPE 7,93%. These results indicate Newton's extrapolation works well on non-linear data and requires a combination method with soft computing methods such as Fuzzy Systems, AG, or ANN

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