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ScientiCO : Computer Science and Informatics Journal
Published by Universitas Tadulako
ISSN : -     EISSN : 26204118     DOI : http://jurnal.untad.ac.id/jurnal/index.php/scienti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering
Scientico was formed in 2018 as online journal publication under the auspices of the Untad engineering faculty. ScientiCO accepts original manuscripts in the field of Computer Science and Informatics, including research reports, review articles, and short communication articles. The spread of Computer Science and Informatics fields include, but not limited to: Artificial Intelligence Computer Graphics and Animation Image Processing Cryptography Computer Network & Security Modelling and Simulation Information Retrieval Information Filtering Multimedia Bioinformatics and Telemedicine Computer Vision and Robotics Parallel and Distributed Computing Operating System Information System Game Development Numerical Methods Mobile Computing Natural Language Processing Data Mining Cognitive System Digital Speech Processing Machine Learning Expert System Geographical Information System Computing Theory
Arjuna Subject : Umum - Umum
Articles 7 Documents
 1 
Search results for , issue "Vol 1, No 1 (2018): Scientico : April" : 7 Documents clear
Rancang Bangun Sistem Presensi Menggunakan Sidik Jari (Studi Kasus Pada Lembaga Pemasyarakatan Klas II-A Palu) Amriana, Amriana; Hendra, Andi; Bakhtiar, Arfiah
ScientiCO : Computer Science and Informatics Journal Vol 1, No 1 (2018): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

Dermatoglyphic has been widely applied to recognize a person's identity, because people basically have something unique or characteristic possessed only by themselves. This raises the idea of making it a unique identity. This is useful for employees presence applications, especially at Lembaga Pemasyarakatan Klas IIA Palu which is still doing manual presence. This system provides the division of labor time and wereable to detect the fingerprints of employees using a fingerprint scanner. The system was made in several stages of the input fingerprint image, binarization fingerprint image, fingerprint image quality improvement, and matching fingerprint image. Improvements to the quality of the fingerprint image consists of the surgical process of mathematical morphology opening and erosion. The detection process of the fingerprint image used euclidean distance measurement points minutiae. The test results indicate that the presence system accuracy using euclidean distance measurement could detect the fingerprint image by 89% from 20 fingerprint data with 5 times testing for each data.
Rancang Bangun Sistem Penghitung Jumlah Pengunjung Perpustakaan Menggunakan Metode Haar like Features (Studi Kasus Pada Perpustakaan Universitas Tadulako) Nugraha, Deny Wiria; Anshori, Yusuf; Candriasih, Ni Kadek
ScientiCO : Computer Science and Informatics Journal Vol 1, No 1 (2018): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

Calculating the number of visitor, in a place or room is not easy. In line, it also occurs when we want to count the number of visitors in library. To know whether the number of visitor in library increases or not, the researcher formulated system that was used to count the visitor. It was Haar Like Features method. This method was used to count the number of visitor in library in a day. In this study, Haar Like Features method was implemented to detect human as object. Beacuse of that, it had function as human object ditector and visotor ditector. By using this method, the librarians felt easier when they counted the visitor in a day. They also could calculate whether the number of visitor in library increased or not.
Sistem Pendukung Keputusan Rekomendasi Pemberian Remisi Pada Narapidana Menggunakan Metode Topsis (Studi Kasus Pada Lembaga Pemasyarakatan Klas II-A Palu) Dodu, A.Y. Erwin; Anshori, Yusuf; Limbong, Dennis Tandi
ScientiCO : Computer Science and Informatics Journal Vol 1, No 1 (2018): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

Remission is a reduction of criminal punishment given to prisoners who have been regulated in the laws of the Republic of Indonesia. The process of giving scores to inmates in Class IIA Palu Correctional Institution with certain criteria aims to facilitate the employees of Palu Class IIA to get recommendation of remission of prisoners. The decision support system in this research uses Technique for Order Preference method by Similiarity to Ideal Solution ( TOPSIS) which is one of the multicriteria decision-making methods, where the basic idea of this method is that the chosen alternative has the closest distance to the ideal solution and the furthest from the ideal negative solution. In determining the inmates who receive remission recommendation in Correctional Institution Class IIA Palu there are 6 criteria which become the basis of decision making such as health condition, special skill and leadership skill, social life, never breaking order and not being a recidivist. The final result in this study is the result of calculation of proximity relative to the ideal solution that is sorted from the highest value to the lowest value so that employees of Correctional Institution Class IIA can easily take a decision on remission recommendations by looking at the results of the sorting
Implementasi Algoritma Hybrid Depth-First Search dan Breadth-First Search pada Sistem Repository Dokumen Hasil Karya Mahasiswa (Studi Kasus Pada Jurusan Teknologi Informasi Universitas Tadulako) Ardiansyah, Rizka
ScientiCO : Computer Science and Informatics Journal Vol 1, No 1 (2018): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

Departement of Information Technology Tadulako University, currently does not have a digital repository system that can accommodate the work of student either in form of paper, research report, and scientific posters at the moment. Various of student works is stored in form of physical archives which is definitely risky to get damaged, lost, difficult to access by other students. The existence of a digital repository system can also be used as a benchmark media to develop student creativity in producing scientific work. Searching mechanism is one of the crucial parts in a repository system. There are several commonly used algorithms such as Depth-First search and Breath-First search. Each algorithm have deficiencies and advantages. Therefore, to optimize the searching mechanism on the proposed digital repository system, the author purpose using the DepthFirst search and Breath-First search hybrid algorithms. The result of this study are the design of a prototipe repository system that able to manage and store student scientific documents archive digitally. This system also has a fast and accurate data search fiture.
Implementasi Algoritma Dijkstra Dalam Pembuatan Aplikasi Pesona Palu Anshori, Yusuf; Joefrie, Yuri Yudhaswana; Nadyanti, Nadyanti
ScientiCO : Computer Science and Informatics Journal Vol 1, No 1 (2018): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

This study aims to build application that is able to provide information on the location of culinary tourism, shopping and recreation center for the area of Palu City that runs on the Android platform and able to show the closest path to be traversed in order to help tourists or newcomers who are not too familiar with the city of Palu. Determination of the shortest route in this application using Dijkstra algorithm. This algorithm is used to find the shortest path on a directed graph. This algorithm uses the Greedy principle which states that at each step we choose the minimum-weighted side and put it into the solution set.
Penerapan Data Mining Untuk Mendeteksi Tingkatan Stadium Penyakit Human Immunodeficiency Virus / Acquired Immune Deficiency Syndrome (Hiv/Aids) Menggunakan Algoritma Naive Bayes Classifier (Studi Kasus Pada Rumah Sakit Umum Daerah (Rsud) Anutapura Palu) Dodu, A. Y. Erwin; Nugraha, Deny Wiria; Ayyub, Mohammad Azhar
ScientiCO : Computer Science and Informatics Journal Vol 1, No 1 (2018): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

At Anutapura Palu General Hospital (Hospital) Anutapura Palu to perform stadium detection still using Ms.Excel application with the result of detection is still manually input, to overcome the problem the author aims to make data mining applications to detect the stage of HIV / AIDS by applying Naive Bayes algorithm with output / output result of stadium 1, stadium 2, stadium 3 and stadium 4. The research data was obtained at Anutapura Palu General Hospital (RSU) from 305 HIV / AIDS patients. Existing data were analyzed using Naive Bayes algorithm and using 11 features. Naive Bayes aims to classify data in a particular class, then the pattern can be used to determine the level of stadium suffered by HIV / AIDS patients.
Penerapan Data Mining Untuk Pengelompokan Hasil Diagnosa Penyakit Pasien Pengguna BPJS Kesehatan (Studi Kasus Pada Rsud Undata Palu) Amriana, Amriana; Joefrie, Yuri Yudhaswana; Meidji, Farah Nabila
ScientiCO : Computer Science and Informatics Journal Vol 1, No 1 (2018): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

This research was conducted to process medical record data in RSUD Undata of central Sulawesi province, for some BPJS Kesehatan insurance member. Medical record contain information about identity and medical history by patient  in Hospital or community health center (Puskesmas). Medical records have disease information by patients encoded according to WHO standart. The code is called ICD (International Classification of Disease) and this research use C4.5 Algorithm as Classification method to process patient medical record which then uses address attributes, gender, age and disease diagnosis (ICD-10). Of the five attributes are groupings then processed into group of age, regional and icd. The result of this studi can find patterns of disease tendency that most suffered by people in a region.

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