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INDONESIA
SemanTIK : Teknik Informasi
Published by Universitas Halu Oleo
ISSN : 24601446     EISSN : 25028928     DOI : http://dx.doi.org/10.55679/semantik.v8i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Jurnal "semanTIK" merupakan salah satu media publikasi hasil-hasil penelitian dalam bidang teknologi informasi. Kajian penelitian dalam jurnal yaitu Rekayasa Perangkat Lunak, Jaringan Komputer, Sistem Cerdas, Sistem Informasi dan Robotika. Sasaran dalam penerbitan jurnal ini adalah Dosen, Mahasiswa dan para Peneliti dalam bidang TI.
Arjuna Subject : -
Articles 345 Documents
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ANALISIS DAN IMPLEMENTASI VLAN (VIRTUAL LOCAL AREA NETWORK) PADA JURUSAN TEKNIK INFORMATIKA FAKULTAS TEKNIK UNIVERSITAS HALU OLEO Muhammad Akbar; Muh. Yamin; LM Fid Aksara
semanTIK Vol 3, No 2 (2017): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (908.12 KB) | DOI: 10.55679/semantik.v3i2.3666

Abstract

Seiring dengan berkembangnya jaringan komputer, diperlukan pengembangan suatu jaringan yang bertujuan menjaga keamanan informasi, tingkat keberhasilan dan mengurangi resiko tabrakan data.Teknologi jaringan yang bisa digunakan untuk mewujudkan hal itu ialah teknologi jaringan Virtual Local Area Network (VLAN).VLAN adalah suatu mekanisme yang dapat digunakan untuk mensegmentasi jaringan dalam peralatan switch manageable. Konsep dasar VLAN yaitu dapat meningkatkan jumlah broadcast domain dan menurunkan size broadcast domain, meningkatkan security network serta membagi single broadcast domain menjadi bebrapa broadcast domaint yang lebih. Segmentasi ini dilakukan untuk membatasi menyebarnya pengiriman paket data sehingga paket data yang dikirim hanya dapat diterima oleh pengguna yang disetujui saja sehingga para pengguna dapat mengakses jaringan lokal tanpa harus terganggu oleh kepadatan lalu lintas dan penyempitan bandwith yang disebabkan oleh pengiriman paket data yang terjadiPenelitian ini merancang dan implementasi VLAN pada jaringan di Jurusan Teknik Informatika Fakultas Teknik Universitas Halu Oleo agar peralatan yang ada dapat dioptiomalisasi untuk memberikan pelayanan jaringan yang baik. Setelah perancangan dan implementasi dilakukan maka akan dilakukan analisis tentang pengaruh penggunanaan VLAN di Jurusan Teknik Informatika Fakultas Teknik Universitas Halu Oleo sebelum pemasangan dan setelah pemasangan Kata Kunci—Teknologi Jaringan Komputer, Virtual Local Area Network,  Swich Manageable.
IMPLEMENTASI MANAJEMEN BANDWITH MENGGUNAKAN IPCOP OS ROUTER (STUDI KASUS : LABORATORIM SISTEM INFORMASI DAN PEMROGRAMAN JURUSAN TEKNIK INFORMATIKA UNIVERSITAS HALU OLEO) Armin Pesipari; Sutardi Sutardi; Isnawaty Isnawaty
semanTIK Vol 3, No 2 (2017): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.566 KB) | DOI: 10.55679/semantik.v3i2.3752

Abstract

Laboratorium Sistem Informasi dan Programming memiliki 16 komputer yang terhubung pada jari­ngan Local Area Network (LAN). Selain LAN ada Access Point yang digunakan mahasiswa untuk sarana belajar. Tanpa adanya manajemen bandwith dan manajemen user hal tersebut jelas mempengaruhi performa koneksi client. Salah satu alternatif manajemen bandwith adalah penggunaan IPCOP sebagai alat manajemen bandwith agar setiap client mendapatkan bandwith dengan ukuran yang sama tanpa menggangu bandwith client yang lain. IPCOP  adalah suatu distribusi linux  yang  menyediakan fitur  simple-to-manage firewall appliance berbasis perangkat keras PC memiliki fitur manajemen user untuk peningkatan keamanan dan fitur manajemen bandwith untuk membantasi penggunaan bandwith berbasis web GUI (Graphic User Interface). Dari hasil pengujian, IPCOP berhasil mengoptimalkan dan membatasi penggunaan bandwith pada setiap client, Selain itu IPCOP mampu meningkatkan keamanan jaringan komputer dari serangan DoS (Denial of Service).Kata kunci—DoS, IPCOP, Manajemen Bandwith, Linux, QoS, Simple-to-Manage Firewall Appliance.
SISTEM PENDUKUNG KEPUTUSAN DALAM PENERIMAAN TENAGA PENDAMPING DESA MENGGUNAKAN METODE SAW LM. Taha Ramadhan; Muh. Ihsan Sarita; Rahmat Ramadhan
semanTIK Vol 3, No 2 (2017): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (487.706 KB) | DOI: 10.55679/semantik.v3i2.4079

Abstract

Pendamping Desa adalah pengelola proyek pembangunan di desa. Kerja Pendampingan  Desa  difokuskan  pada upaya  memberdayakan  masyarakat  desa melalui proses belajar sosial. Proses penerimaan pendamping desa dilakukan seleksi administrasi dan seleksi tes yang dilakukan oleh pemerintah kabupaten.Dalam proses seleksinya terdapat beberapa masalah yaitu penentuan atau perangkingan yang masih manual dikarenakan pada tahapan seleksi sering terjadi kecurangan. Untuk mengatasi masalah tersebut perlu adanya sistem yang dapat mengelola dan menyeleksi kriteria-kriteria dalam penerimaan pendamping secara obyektif agar didapatkan sebuah hasil keputusan yang cepat, tepat dan akurat.            Konsep dasar SAW adalah  mencari penjumlahan terbobot dari kinerja setiap alternatif pada semua. Metode SAW membutuhkan proses normalisasi matriks keputusan () ke suatu skala yang dapat dibandingkan dengan semua rating alternatif yang ada.dengan semua rating alternatif yang ada. Metode SAW dapat diterapkan dalam penerimaan pendamping desa, karena metode SAW dapat menghasilkan sistem pendukung keputusan yang menentukan layak atau tidak layaknya pelamar berdasarkan bobot yang telah ditentukan. Kata Kunci : Pendamping Desa, Penerimaan, SAW
IMPLEMENTASI DATA MINING UNTUK MENENTUKAN DAERAH RAWAN KECELAKAAN MENGGUNAKAN ALGORITMA C4.5 Rezki Oktavia; Sutardi Sutardi; Jumadil Nangi
semanTIK Vol 3, No 2 (2017): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.333 KB) | DOI: 10.55679/semantik.v3i2.3439

Abstract

Kecelakaan lalu lintas merupakan salah satu permasalahan global yang membutuhkan penanganan yang serius. Kecelakaan terjadi di berbagai tempat dengan waktu kejadian yang berbeda, hal ini menyebabkan sulitnya menentukan daerah mana yang memiliki tingkat kerawanan kecelakaan lalu lintas.  Tujuan penelitian Daerah Rawan Kecelakaan di wilayah Kota Kendari ini yaitu untuk meningkatkan aspek keselamatan masyarakat dan dapat dijadikan bahan pertimbangan untuk pengawasan maupun tindakan antisipasi khususnya bagi kepolisian pada lokasi studi.Pemodelan daerah rawan kecelakaan berbasis Web Sistem Informasi Geografis dilakukan dengan software GIS. Metode yang digunakan adalah Decesion Tree menggunakan Algoritma C4.5,dimana membuat pohon keputusan untuk menentukan kerawanan suatu daerah. Hasil dari penelitian ini adalah aplikasi yang menentukan tentang daerah-daerah mana yang termaksud rawan kecelakaan di Kota Kendari beserta analisis data serta pemetaan daerah rawan kecelakaan.Rekomendasi studi penelitian ini yaitu Pemerintah harus memperhatikan faktor keselamatan pengguna jalan denganmemasang rambu-rambu lalu lintas dan fasilitas keamanan lainnya di Lokasi studi yang rawan kecelakaan.Kata kunci—Algoritma C4.5, Kecelakaan Lalu Lintas, SIG
APLIKASI FORECASTING MENGENAI ANGKA KELAHIRAN DI KOTA KENDARI MENGGUNAKAN METODE REGRESI LINEAR BERGANDA (STUDI KASUS : DINAS KESEHATAN KOTA KENDARI) Nike Syafitri; Sutardi Sutardi; LM Tajidun
semanTIK Vol 4, No 1 (2018): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (766.084 KB) | DOI: 10.55679/semantik.v4i1.4242

Abstract

Birth rate is a very useful indicator not only of health status but also of overall population status, and the economic conditions in which the population lives. Population density in Kendari city in 2015 reached 1,174 people / km2. Population density in 10 sub-districts is quite diverse with the highest population density located in Kadia with the lowest density of 6,180 people / km2 in Baruga of 472 people/ km2. The purpose of this application is to predict the birth rate in Kendari by using multiple linear regression method.The Multiple Linear Regression Method is the most appropriate approach to predict future birth rates. An analysis that has more than one independent variable is called multiple linear regression analysis. The result of this system in the form of forecasting applications that can predict the birth rate in every month from all sub-districts in the  Kendari and provide information about how strong the relationship between the factors that affect the birth rate.Keywords— Forecasting, Birth Rate, Multiple Linear Regression, Correlation DOI : 10.5281/zenodo.1402398
APLIKASI DATA MINING UNTUK PENILAIAN KREDIT MENGGUNAKAN DECISION TREE ALGORITMA ID3 STUDI KASUS PT. MANDALA MULTI FINANCE CABANG KENDARI Ilayani, Ilayani; Nangi, Jumadil; Pasrun, Yuwanda Purnamasari
semanTIK Vol 4, No 1 (2018): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2928.389 KB)

Abstract

Credit is one of the most common payment mechanisms in the community. Data mining can search the pattern and new knowledge of these data so that it can facilitate in determination of debtor candidate. For that required a data mining applications that can process and provide the decision of the prospective debtor's eligibility status automatically. One method of data mining used for the classification of prospective borrowers is the decision tree using Iterative Algorithm Dichotomiser 3 (ID3).ID3 is one of the most popular types of Decision trees that attempt to build a decision tree top-down, starting with the first attribute to be checked and placed as root. The ID3 or Iterative Dichotomiser 3 algorithm is a method used to produce decision trees that are able to classify an object. Attributes used are file, job, character, address, pay slip, and motor price.Based on the test results, ID3 method can be implemented in credit appraisal application for the determination of eligibility with 100% accuracy value for 10 data testing from 100 training data and 30 data testing from 60 training data.Keywords—Credit, Data Mining, Decision Tree, ID3 DOI : 10.5281/zenodo.1402830
APLIKASI ENKRIPSI DAN DEKRIPSI DATA MENGGUNAKAN TINY ENCRYPTION ALGORITHM (TEA) BERBASIS JAVA Liana Liana; Sutardi Sutardi; Nur Fajriah Muchlis
semanTIK Vol 4, No 1 (2018): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (506.954 KB) | DOI: 10.55679/semantik.v4i1.4243

Abstract

The need for data security is increasing along with the development of digital technology. Almost all communication and transaction activities are now done digitally so that worries about missing data will increase. Data is very important, so accuracy and precision of data is needed in the decision-making process. The importance of the value of a data causes the availability of data security, therefore data falls precisely and accurately to the right partyIn this study designed a data security application. Encryption method is used to secure data by applying algorithm of Tiny Encryption Algorithm (TEA). In the encryption process performed 16 rounds where each round consists of; additions, key substitutions, and data, and XOR.The results of the study built a data security application that can secure data by applying the algorithm Tiny Encryption Algorithm (TEA). From the test results prove that application is able to secure extension txt and docx. The larger the size of the encrypted data the more time it takes for the encryption process. Keywords— Data, TEA, Encryption, Decryption DOI : 10.5281/zenodo.1402400 
RANCANG BANGUN APLIKASI PERHITUNGAN RENCANA ANGGARAN BIAYA (RAB) PEMBANGUNAN RUMAH TINGGAL Muhammad Ridwan; Sutardi Sutardi; Bambang Pramono; Laode Muh. Golok Jaya
semanTIK Vol 4, No 1 (2018): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (280.996 KB) | DOI: 10.55679/semantik.v4i1.4250

Abstract

The Budget Plan is one of the main processes in a project because it is the basis for creating a budget framework to be issued. The Budget Plan is indispensable for calculating a building or project with the many costs required for materials and wages, as well as other costs associated with building or project implementation. For that required a careful calculations of the total cost of manufacture, volume of work, type of work, material prices and wage handyman in accordance with Indonesian National Standard (SNI).The results of research that has been done is an application that can facilitate user activity to plan the cost of housing construction. With the menus contained in this application can help users to prepare for the needs of what is needed if you want to build a residence such as materials, wage handyman and the price of materials. In addition, it can reduce the level of human error in the calculation of cost analysis needsKeywords— Homes, Budget Plan, PHP Programming. DOI : 10.5281/zenodo.1402404
Penerapan Algoritma Backpropagation Dalam Memprediksi Produksi Tanaman Padi Sawah Menurut Kabupaten/Kota di Sumatera Utara Meychael Adi Putra Hutabarat; Muhammad Julham; Anjar Wanto
semanTIK Vol 4, No 1 (2018): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (382.027 KB) | DOI: 10.55679/semantik.v4i1.4225

Abstract

North Sumatra Province is a province well known for its rice field production. But from all regencies and cities in North Sumatra, its rice production is uneven and unstable, sometimes its production goes up, sometimes down. Therefore, it is needed a research in the form of prediction for Production of Rice Field Crops, so that local government of North Sumatra can make policy as early as possible, so that production of paddy rice field can continue to rise in order to support the achievement of food self-sufficiency. In this study data that will be predicted sourced from the Central Bureau of Statistics of North Sumatra Province from 2012 until 2016. The algorithm used to make this prediction is the Backpropagation algorithm. This algorithm has the ability to remember and make generalizations of what has been there before. There are 5 architectural models used in this research, among others 3-5-1 which later will produce predictions with 78% accuracy rate, 3-7-1 = 70%, 3-10-1 = 82%, 3-15 -1 = 82% and 3-9-1 = 91%. The best architecture of the 5 models is 3-9-1 with 91% accuracy and error rate of 0.001-0.05. It is expected that the results of this study can contribute to the government in determining agricultural policy in the future.Keywords—Application, Backpropagation, Prediction, Production, RiceDOI : 10.5281/zenodo.1402832
RANCANG BANGUN DAN MONITORING ALAT JEMUR PAKAIAN BERBASIS WEB MENGGUNAKAN METODE NAIVE BAYES La Ode Ichsan Chumaidi; Isnawaty Isnawaty; Nur Fajriah Muchlis
semanTIK Vol 4, No 1 (2018): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (544.135 KB) | DOI: 10.55679/semantik.v4i1.4252

Abstract

Today's weather changes are unpredictable, caused by global warming. The dry season and the rainy season are unpredictable. Because it is human activity to dry clothes quite disturbed by the arrival of heat and rain are uncertain.The solution of the problem is an automatic drying tool, a clothes drying tool that can move in and out direction and into the home miniature automatically based on weather conditions and ambient light. The working principle of this automatic drying tool is using a switch controlled by a microcontroller that receives input values from three sensors. The value of the calculation of Naive Bayes will be classified into two categories namely drag and drying. At the time of rain classification value > no rain then the clothesline will move automatically into miniature house.This tool is controlled by microcontroller with three sensors namely DHT11 sensor, LDR (Light Dependent Resistor) and water sensor and has a DC motor output. This tool uses NodeMCU L298N is used to drive a DC motor and connect to the Web.Keywords—Automatic Drying Tool, Naive Bayes, Microcontroller, NodeMCU l298N. DOI : 10.5281/zenodo.1402834

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