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All Journal Jurnal Mantik Penusa Jurnal Teknik Informatika UNIKA Santo Thomas JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) PITIN Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Prosiding SeNTIK STI&K INOVTEK Polbeng - Seri Informatika
Barus, Ertina Sabarita
Universitas Prima Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media

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COMPARISON OF THE MAMDANI AND SUGENO METHOD TO INCREASE THE LEVEL OFANALYSIS THE ADVANTAGES OF INFRASTRUCTURE DEVELOPMENT Ertina Sabarita Barus
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

To increase the accuracy of the output value of a Mamdani-based decision support system compared to the manual analysis system. The value of the analysis carried out using the system should have a value close to the value that is done manually. For this reason, this study will compare Mamdani and Sugeno methods to observe the similarity of values with manual calculation data. In processing fuzzy input data produces output from the inference process which is then classified in 5 feasibility conditions, namely, low, normal, high, very high and not feasible which is used as a supporting facility in making infrastructure development decisions in an area
PEMBANGUNAN APLIKASI SERVER WARI ENDA Ertina Sabarita Barus; Christian Jorena Sitepu
PUBLIKASI ILMIAH TEKNOLOGI INFORMASI NEUMANN (PITIN) Volume 1 Nomor 1 Tahun 2016
Publisher : UPPM

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Abstract

Application Server Wari Enda is a useful application to perform charging data- data, that the church's message GBKP (momo), devotional, devotional author profile, songbook GBKP, foster children, as well as information GBKP. In the preparation of this paper the author only do the charging data GBKP church bulletin (momo), devotional, and the author's profile afterthought. The author also build a simple web server that can make the process of inputting data into a database which has been built using the PHP programming language that in her also includes the encoding process in the form of JSON (Java Script Object Notation) so that the data entered is legible by Enda Wari Android application users.
MEMBANGUN APLIKASI TES IQ PENERIMAAN MAHASISWA BARU PADA SMARTPHONE BERBASIS ANDROID Ertina Sabarita Barus; Oktrine Rohliharni Purba
PUBLIKASI ILMIAH TEKNOLOGI INFORMASI NEUMANN (PITIN) Volume 2 Nomor 1 Tahun 2017
Publisher : UPPM

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Abstract

Before taking an IQ test officially, individuals often use media books or websites to do IQ test exercises. Lately, smartphone media has been very popular with users in supporting information technology. To accommodate smartphone facilities, the author will apply for an IQ Test. New Student Admission based on Android. The software used to make this application is Android Studio. This IQ test application is used using the Android operating system used on Android-based smartphones in the Java programming language.
SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN KREDIT Di CREDIT UNION “PARDIS” DENGAN METODE FUZZY MAMDANI Ertina Sabarita Barus; Hesalorafika Ginting
PUBLIKASI ILMIAH TEKNOLOGI INFORMASI NEUMANN (PITIN) Volume 2 Nomor 2 Tahun 2017
Publisher : UPPM

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Abstract

Credit is a loan by another party that will be returned at a certain time. In conducting credit analysis, if done properly can run as the first screening for the company to avoid bad credit, in the process of data processing candidate This creditor will appear vague variables that must be addressed by credit analyst.Credit Union "Pardis" is one of the financial institutions that provide credit loans. In this research used fuzzy mamdani method to solve the problem. The variables used for fuzzy calculations on this system are how income, savings balance and loan amount. Test results using Matlab Application.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN DOSEN TERBAIK PADA STMIK KRISTEN NEUMANN INDONESIA DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Elviani Br Tarigan; Ertina Sabarita Barus
PUBLIKASI ILMIAH TEKNOLOGI INFORMASI NEUMANN (PITIN) Volume 3 Nomor 1 Tahun 2018
Publisher : UPPM

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Abstract

ecision support system aims to help managers or leaders to determine the best lecturers by considering several aspects as well as by giving importance to each aspect assessed. Based on this to determine the best lecturer, the method is used. The method used is Simple Additive Weighting (SAW). The study was conductedby finding the weight value of each criterion, and then normalizing the decision matrix to a scale that can be compared with all existing alternative ratings. The results of the calculation of this method are the results of ranking.
CLUSTERING OBJECT RETRIBUSI BERBASIS K-MEANS CLUSTERING OBJECT RETRIBUTION BASE K-MEANS Ertina Sabarita Barus; Bersama Sinuraya; Jenni Veronika Ginting
PUBLIKASI ILMIAH TEKNOLOGI INFORMASI NEUMANN (PITIN) Volume 3 Nomor 2 Tahun 2018
Publisher : UPPM

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Abstract

Pendapatan daerah merupakan penerimaan dana bagi pemerintahan daerah yangdigunakan sebagai penunjang pembangunan daerah. Pendapatan daerah digunakan untukmembiayai proyek-proyek, program-program pemerintah dan kegiatan-kegiatan daerah,salah satu pendapatan daerah yaitu retribusi daerah, ada beberapa jenis retribusi daerahdan masing-masing jenis retribusi tersebut terdiri dari titik-titik objek retribusi. Daerahdaerahyangmenjadi objek retribusi sudah ditentukan oleh pemerintahan daerah. Kegiatantransaksi pembayaran retribusi dilakukan secara langsung oleh petugas pemungut retribusidan wajib retribusi. Hal ini rentan menyebabkan terjadi pemungutan liar yang dilakukan olehoknum pemungut retribusi. Karena tidak ada pengawasan dan monitoring yang dilakukanoleh atasan. Hal tersebut sulit dilakukan karena titik-titik objek retribusi yang jumlahnyasangat banyak di seluruh wilayah pemerintahan daerah karo. Pada penelitian ini akandilakukan riset untuk mendefenisikan seluruh titik-titik retribusi kemudian dilakukanclustering. Clustering berbasis K-Means
SERVER STATISTIKA JUMLAH JEMAAT GBKP KLASIS MENARA (MEDAN-NAMORAMBE) BERBASIS WEB Atania Br Ketaren; Ertina Sabarita Barus
PUBLIKASI ILMIAH TEKNOLOGI INFORMASI NEUMANN (PITIN) Volume 5 Nomor 2 Tahun 2020
Publisher : UPPM

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Abstract

The internet can be used to facilitate all work effectively and efficiently. GBKP has data on the number of congregations who worship each week. This data can only be seen through congregational newspapers provided by the church. However, it is not yet possible to see the number of congregants that attend each Runggun in 1 classic. By utilizing the internet, viewing congregation's data will be easier and can be accessed anytime and anywhere. In this research, a server was created to view statistical data regarding the number of class-level congregations. The research purposes were to find out the number of congregants who attend Sunday services. This research, has a proposed design system including dfd, erd, flowchart and database (database). The statistical server design for the GBKP Klasis Menara congregation is expected to facilitate the process of inputting the number of congregations.
Aplikasi Penentuan Rute Rumah Sakit Terdekat Menggunakan Algoritma Dijkstra Jenni Veronika Ginting; Ertina Sabarita Barus
Jurnal Mantik Penusa Vol. 2 No. 2 (2018): Computer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Analisis Implementasi Metode Fuzzy Tsukamoto Dalam Penentuan Calon Legislatif Salim, Stanley; -, Sutrisno; Laia, Yonata; Ompusunggu, Elvis sastra; Barus, Ertina Sabarita; Sihombing, Oloan
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 7 No. 1 (2024): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v7i1.4920

Abstract

Being elected as a legislative candidate is a challenging matter. Of course, you must know in the field of politics, both locally and globally, qualified leadership attitudes, moral values, and integrity, financially and financially established in order to carry out campaigns and have a base of followers so that all visions and programs can be conveyed to the public as a whole and clearly. Voters are also required to be wiser and more selective in choosing quality legislative candidates, given that the eligibility rate of candidates in Indonesia is still relatively low, and many participants still need to meet the criteria as ideal legislative candidates. Therefore, a technology and support system is needed that can sort and help the general public in determining quality candidates; in this case, the Tsukamoto Fuzzy method is used, which can be a solution in providing competent candidate recommendations because it has the characteristics of shortening time and simplifying the selection process objectively. This fuzzy method is a support system that is very
APPLICATION OF DATA MINING USING THE RANDOM FOREST METHOD TO PREDICT HEART DISEASE Felix, Felix; Sitanggang, Delima; Laia, Yonata; -, Amalia; Radhi, Muhammad; Barus, Ertina Sabarita
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 2 (2024): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v7i2.4801

Abstract

A heart attack is when fatty deposits block the arteries. This causes symptoms such as shortness of breath and chest pain. In addition, obstructed blood flow to the heart can cause damage to the heart muscle. Heart attacks are still the highest cause of death in Indonesia to date. The problem today is that it is tough to predict and identify heart disease. The appropriate method needed to predict heart disease is the Random Forest method. This research aims to calculate the level of accuracy in predicting heart attacks. Based on research and data processing carried out by previous study by comparing two K-Neighbor algorithms, which produced an accuracy value of 83% and the Logistic Regression algorithm produced an accuracy value of 88% and it was found that the Random Forest algorithm had an accuracy of 86.88%. Thus, other algorithms are better at predicting heart attacks than the Random Forest algorithm. Keywords: Heart Attack, Random Forest, Prediction.
Co-Authors -, Amalia Aikel Aritonang, Lastiur Aryowindo, Brita Atania Br Ketaren Bersama Sinuraya Bersama Sinuraya Christian Jorena Sitepu Darmanto Darmanto Delima Sitanggang, Delima Delmanto Saogo Devin Viondra Sihar Matondang Diana Alemin Barus Elviani Br Tarigan Felix Felix Halim, Jenny Evans Hesalorafika Ginting Jenni Veronika Ginting Jenni Veronika Ginting Jenni Veronika Ginting Niskarto Zendrato Oktrine Rohliharni Purba Oloan Sihombing, Oloan Ompusunggu, Elvis Sastra Rizki Samuel Putra F. Sianturi Sahputra, Sahputra Salim, Stanley Sembiring, Delima Chrismas simangunsong, Esterika Sipayung, Ivan Hasadaon Situmeang, Johan Medi Solly Aryza Sopian Dapit Sutrisno - Syarif, Ridho Yessica, Sally Yonata Laia