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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Buana Informatika Jurnal Transformatika Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Bakti Cendana: Jurnal Pengabdian Masyarakat INSERT: Information System and Emerging Technology Journal Jurnal Dialektika Informatika (Detika) HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Journal Of Information And Technology Unimor (JITU) Transformasi Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat J-Icon : Jurnal Komputer dan Informatika Jurnal Pengabdian Masyarakat Bangsa Jurnal Inovatif Wira Wacana Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Genitri: Jurnal Pengabdian Masyarakat Bidang Kesehatan Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Sistem Informasi (JASISFO)

Tiwuk Widiastuti

Universitas Nusa Cendana

Author-ID : 1150133

Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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Penentuan Lokasi Tempat Pembuangan Sementara Sampah Menggunakan Metode Brown Gibson Berbasis Sistem Informasi Geografis Sihotang, Dony Martinus; Tarus, Karen N.V; Widiastuti, Tiwuk
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019
Publisher : Universitas Diponegoro

The problem of waste has not been handled well, especially in cities, including the city of Kupang.Â Placing the right location of the trash can be one of solutions to the waste problem. Â The purpose of this study is to combine decision support systems and geographic information systems to determine the location of TPS locations. There are two stages of analysis, the Brown Gibson method to determine which alternative is best for construction temporary landfill and the second analysis using the GIS approach to determine suitable point. The alternative is Neigborhoods (RT) in the Nefonaek, Kupang. The results showed that in the RT22, RT17, and RT18 which is outside the buffer area were selected as the best candidates for the new location of TPS. The system is tested in two ways, testing the blackbox using questionnaire on two respondents, and the accuracy that compares the results of the system and the results of expert. From the results of the blackbox testing, the percentage values for each GUI, Function, and information obtained were 94%, 92.5%, and 97.5%. And from Accuracy testing, obtained the value of accuracy on the first staff is 86.67% and for the second staff the accuracy value is 80%. From the two staffs obtained an average accuracy of 83.34%.

Studi Performansi Algoritma Perencanaan Jalur diantara PRM, RRT, RRT* dan Informed-RRT Nelci Dessy Rumlaklak; Yelly Y Nabuasa; Tiwuk Widiastuti
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 7 No 2 (2019): TELEKONTRAN vol 7 no 2 Oktober 2019
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

This paper will discuss a comparative performance review of several path planning algorithms. This study compares five well-known path planning algorithms, namely the Probabilistic Roadmap (PRM), Rapidly-exploring Random Tree (RRT), RRT* and Informed-RRT* algorithm. Testing is done through simulation based experiments using python. The test was conducted using several existing benchmark cases, namely narrow, maze, trap and clutter environment. The optimality criteria compared are path costs, computational time and the total number of nodes in the tree needed. The results of this study will provide information to readers about which algorithm is most suitable for use in user applications where there are several working parameters to be optimized. The findings have been summarized in the conclusion section. Keywords Â: Motion planning, PRM, RRT, RRT*, Informed-RRT*

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TEMPAT KOS DENGAN METODE WEIGHTED AGREGATED SUM PRODUCT ASSESMENT (WASPAS) (STUDI KASUS KOTA KUPANG NUSA TENGGARA TIMUR) Thimothy Ariel Masangin; Tiwuk Widiastuti; Bertha S. Djahi
TRANSFORMASI Vol 17, No 2 (2021): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Kos merupakan suatu tempat tinggal yang disewakan kepada pihak lain dengan fasilitas-fasilitas tertentu dengan harga yang lebih terjangkau dari pada hotel/penginapan. Pada umumnya mahasiswa maupun masyarakat mencari kos dengan mendapatkan informasi dari teman atau langsung mencari. Hal ini kurang efektif dan tidak efisien. Selain itu, harga, fasilitas dan juga letak kos menjadi pertimbangan dan menyulitkan dalam proses pengambilan keputusan. Oleh karena itu, dibangun sebuah sistem pendukung keputusan dengan metode Weighted Aggregated Sum Product Assesment (WASPAS) yang dapat membantu mahasiswa maupun masyarakat dalam memilih tempat kos yang tepat dan sesuai dengan kebutuhan. Terdapat 6 (enam) kriteria dalam penelitian ini yaitu lokasi, fasilitas, harga, ukuran, kebersihan dan keamanan. Pertama-tama 6 kriteria kos ini diberikan bobot menggunakan metode Rank Order Centroid (ROC) dan selanjutnya digunakan metode WASPAS untuk menentukan rekomendasi Kos terbaik. Sistem yang dibangun kemudian diuji menggunakan metode/pengujian black box. Hasil pengujian menunjukan sistem yang dibangun dapat berfungsi dan berjalan sesuai harapan dengan akurasi sebesar 100%.Kata Kunci: SPK, Pemilihan Kos terbaik, Weighted Aggregated

PENERAPAN MODIFIED CERTAINTY FACTOR DALAM SISTEM PAKAR TES KEPRIBADIAN FLAG Romy O. D. Djami; Sebastianus Adi Santoso Mola; Tiwuk Widiastuti
J-Icon : Jurnal Komputer dan Informatika Vol 6 No 1 (2018): Maret 2018
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v6i1.354

Expert system is one of artificial intelligence engines that is using specific knowledge of an expert to solve a specific problem. In this study, the expert system is built to implement FLAG personality test using Modified Certainty Factor method in order to help counselee knowing his personality type and the careers suitable for him. Knowledge source for this system is obtained from the book Tes Bakat Anda (Test Your Own Aptitude) by Jim Barrett and Geoff Williams (2002) along with several consultations with Irianti Agustina, S.Pd., M.Pd. and Dra. Sri Rahayu Djami. This system is able to provide the output in the form of personality type of the counselee as well as career recommendations suitable for him. Based on study on 141 data of counselees, the results are: By using Modified Certainty Factor, this expert system has accuracy of 83.69%, and provides more certain output than the output provided by the conventional FLAG. Therefore, researcher recommends the using of Modified Certainty Factor method to improve any other personality test which still has not given certain output.

CASE BASED REASONING UNTUK MENDIAGNOSA PENYAKIT ANAK MENGGUNAKAN METODE BLOCK CITY Marnon C. Y Mage; Derwin R Sina; Tiwuk Widiastuti
J-Icon : Jurnal Komputer dan Informatika Vol 5 No 2 (2017): Oktober 2017
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v5i2.364

The Case Based Reasoning (CBR) method is one of the methods to build a system that works by diagnosing new cases based on old cases that have occurred and providing solutions to new cases based on old cases with the highest similarity values. In this study, the authors apply CBR to diagnose diseases of children aged 1-12 years. Sources of system knowledge were obtained by collecting patient medical record files in 2014 and 2015. The calculation of similarity values using the Block City Gower method with a fairness value is 70%. This system can diagnose 10 illnesses based on 48 existing symptoms. The output of the system in the form of the illness experienced by the patient based on symptoms implanted by non-physician medical personnel, handling solution and presentation similarities with the previous case to show the truth level of the diagnosis. Based on the test of 83 new cases obtained system accuracy of 75,90%.

PEMILIHAN LAPTOP ATAU NOTEBOOK DENGAN METODE FUZZY MAMDANI DAN SKORING Ahmad Taufik; Tiwuk Widiastuti; Nelci D Rumlaklak
J-Icon : Jurnal Komputer dan Informatika Vol 6 No 2 (2018): Oktober 2018
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v6i2.508

The Fuzzy Mamdani method is also known as MinMax method, which finding the minimum value of each rule and the maximum value of the combined consequences of each rule. While scoring is a process of changing the answer of the instrument into numbers which is the quantitative value of ananswer to the items in the instrument. In this study, the authors apply Fuzzy Mamdani and Scoring can be implemented in the manufacture of laptops or notebooks selection applications based on the level of accuracy. The calculation of the accuracy level is based on 5 fuzzy inputs which have 70% portion and10 input scores which have 30% portion. The output of the system in the form of a list of recommended levels of accuracy of selection of laptops/notebooks based on the highest order to the lowest. Based on the testing process then obtained the results: The system can provide convenience for consumers in obtaining the information needed to select the laptops/notebooks right and in line with expectations. This can be evidenced by the results of a survey involving 100 consumers and generate 90% which statesassisted by the application selection of the laptops/notebooks.

KLASIFIKASI SPAM E-MAIL MENGGUNAKAN METODE TRANSFORMED COMPLEMENT NAÏVE BAYES (TCNB) Hanna Florenci Tapikap; Bertha Selviana Djahi; Tiwuk Widiastuti
J-Icon : Jurnal Komputer dan Informatika Vol 7 No 1 (2019): Maret 2019
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v7i1.878

Classification is one of the ways to organize text so that the texts with the same contents can be grouped in the same category. One of the famous text classification methods is the Naïve Bayes Method. Naïve Bayes has efficient computation and good prediction result however the performance of Naïve Bayes is not really good in classifying unbalanced dataset. This Naïve Bayes method is then modified to overcome the weakness, this modified method is then known as Transformed Complement Naïve Bayes (TCNB) method. In this research, TCNB method was used to the spam e-mails whose dataset were unbalanced and were consisted of 481 dataset in spam e-mail class, and 2412 dataset in legitimate e-mail class (in total, there are 2893 dataset). The classification was done with and without cross validation. The classification with cross validation was done starting from k=2 until k=10. The classification without cross validation was done by dividing the training data by 80% and testing data by 20%. The result showed that the classification by using TCNB with cross validation had its best accuracy level on k=10 by 93,917% and the classification without cross validation had its best accuracy by 92,760%. Thus it can be concluded that TCNB can handle unbalanced dataset with good prediction accuracy.

IMPLEMENTASI SISTEM INFORMASI GEOGRAFIS DALAM PENENTUAN INDEKS KESESUAIAN LAHAN TANAMAN PADI DI KOTA KUPANG MENGGUNAKAN METODE SKORING Tiwuk Widiastuti
J-Icon : Jurnal Komputer dan Informatika Vol 7 No 1 (2019): Maret 2019
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v7i1.883

Geographic Information System (GIS) is a special information system for managing data that has spatial information. In GIS is often used overlay techniques in merging 2 or more maps in to a unit ofland. In this research, the authors use the scoring method in determining the land suitability index. To get a unit of land done overlay on land type map, slope map, district boundary map, geological map and land cover or land use map. Scoring is done on temperature parameters, rainfall, dry moon, drainage, texture, effective depth, KTK, ground ph, n total, P2O5, K2O, slope, numbers of rock, and rock out crop. The calculationis done by scoring for each parameter based on the predetermined score class, the total of each unit of land will be used to determine the Land Suitability Index based on the classification class. The calculation result is done on 76 land (rice field and rainfed rice field). This test use Simple Linear Regression to find the closeness value between Land Suitability Index and rice produktivity. Linear correlation coeficient (r) obtained value r = 0,77 (positive correlation). The value of this correlation coefficient indicates the degree of closeness of the relationship between the Land Suitability Index and the productivity of the paddy. The value of coefficient of determination R = 0,59 = 59% indicates that 59% of the proposed variation of Y variable (paddy productivity) can be explained by X variable (Land Suitability Index) through linear relationship.

PENERAPAN LOGIKA FUZZY MENGGUNAKAN METODE MAMDANI DALAM OPTIMASI PERMINTAAN OBAT Inggrid Raga Djara; Tiwuk Widiastuti; Dony M Sihotang
J-Icon : Jurnal Komputer dan Informatika Vol 7 No 2 (2019): Oktober 2019
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v7i2.1645

Planning a good drug supply at the puskesmas is needed to support health services provided by the puskesmas, in addressing the problem of planning drug requests to suit the needs that exist, the researcher uses Mamdani method in fuzzy form that are making fuzzy set, application of rule function, composition rule, affirmation (defuzzy) using method of MOM (Mean of Maximum). Parameters used are initial stock, receipt, preparation, use, ending and demand stock. The calculation was performed using data for 2 years, and it was done 1 year to compare the results of the Health Centre request and the system request. From the test results, the total system demand is smaller than the total demand for Puskesmas, so the system optimization is obtained at 7.623% for 3 drug data so that it can increase the efficiency of the budget funds of Rp. 3,168,223, so it can be concluded that the Fuzzy Mamdani method is a method that provides optimal solutions

IMPLEMENTASI METODE TOPSIS UNTUK SISTEM PEMILIHAN PROGRAM STUDI PADA PERGURUAN TINGGI DI SMA NEGERI 2 KUPANG Yoshua Patriot Thundericco; Nelcy Rumlaklak; Tiwuk Widiastuti
J-Icon : Jurnal Komputer dan Informatika Vol 7 No 2 (2019): Oktober 2019
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v7i2.1649

Proceeding study to the college is something that most of twelfth grade students wants. However, they are still confused in chossing study program because due to not knowing their own aptitude and interest. To solve that problem, some factors are used, which are cognitive factor, by doing psychological test, and affective factor, by observing the tendency of their subjects in high school. Therefore, this research will design and develop a decision support system for study program determination in college using TOPSIS method. This method is chosen due to its capability in choosing best alternative out of multicriteria alternatives. Criterias that are used for this study includes Academic Criteria (Language, Logic, Science, Practice, and Social) and Aptitude Criteria (Intelligence, Space Reasoning, Mechanical, Abstract Reasoning, Verbal Reasoning, Numeric, Language Usage). The test is conducted through confusion matrix method. From 60 test-data, 13 data have difference between the system-result and real-result, thus the system is 78.33% accurate.

Co-Authors Abdi Keraf, Marselino K.P. Adi Sebastianus Molla Adriana Fanggidae Agus Setyobudi Ahmad Taufik Ardean Raflian Arfan Y Mauko Baun, Diandra Bertha S. Djahi Bertha Selviana Djahi Bertha Selviana Djahi Bertha Veronika Da Silva Pinto Bloemhard, Putri E Derwin R Sina Derwin R Sina Derwin Rony Sina, Derwin Djahi, Bertha S. Djahi, Bertha Selviana Dumanauw, Yesaya Evanmarch Dwi C Djahilape Emerensye S. Y. Pandie Emerensye Sofia Yublina Pandie Emerensye Sofia Yublina Pandie Fanggidae, Adriana febby, jurgan Fios, Ignasius Kristoforus Siuk Hanna Florenci Tapikap Immanuel K P Rini Inggrid Raga Djara Juan Rizky Mannuel Ledoh Kabosu, Maria Inansintia Elvira Kornelis Letelay Lehot, Fransisco Ronaldo Lestari, Ayu Triyuni Lete, Patrisius Remby Lobo, Franklin Anugrah Steveinson Mage, Marnon Yolinda Chrisma Malelak, Ruvina Febrianti Maria Louise Ludgardis Muku Marnon C. Y Mage Marylin S. Junias Meiton Boru Meiton Boru Meiton Boru Metkono, Denni Irvanto Missa, Wanto I Mola, Sebastian Adi Santoso Mola, Sebastianus Adi Santosa Mustakim Sahdan Naatonis, Djohan Rudolf Andriano Nabuasa, Yelly Yosiana Nelci D Rumlaklak Nelci Dessy Rumlaklak Nelcy Rumlaklak Ngefak, Videl Richard Nita Novita Non, Erwin T. W. Nunes, Ingratcia Pa, Bernard Jose Adrian Junio Ajilo Polly, Yulianto Triwahyuadi Ratu, Nalfayo Christian Romy O. D. Djami Rumlaklak, N.D Rumlaklak, Nelci D. Rumlaklak, Nelci Dessy Safitri, Aisyah Rizki Sani, Michelle Sarinah Basri K Sebastianus A S Mola Sebastianus Adi Santoso Mola Sihotang, D.M Sihotang, Dony Martinus Sina, Derwin R. Sintha Lisa Purimahua Suhada, Dimas Tabelak, Dion Stekiko Melfin Tarus, Karen N.V Tas'au, Emilia Thimothy Ariel Masangin Tokan, Diana Inda Carmilla Triyanto Umanailo, Ali Umasangadji, Fachry Muhammad yelly y nabuasa Yoshua Patriot Thundericco Yulianto Triwahyuadi Polly

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