Claim Missing Document
Check
Articles

Found 11 Documents
Search

SISTEM INFORMASI LAPORAN PENCAPAIAN KOMPETENSI PESERTA DIDIK DI SMK NEGERI 1 PURWOKERTO Santiko, Irfan
Telematika Vol 9, No 1: Februari (2016)
Publisher : STMIK Amiko Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.491 KB)

Abstract

Teknologi informasi berperan penting dalam meningkatkan mutu dan kualitas pendidikan. Sistem informasi pencapaian kompetensi peserta didik adalah upaya dalam membantu sebuah lembaga pendidikan untuk memperoleh input siswa yang berkompeten. SMK Negeri 1 Purwokerto merupakan lembaga pendidikan yang bertugas menangani kegiatan-kegiatan yang berkaitan dengan pendidikan, dimana di sekolah tersebut memiliki sistem dalam mencari peserta didiknya. Salah satunya adalah sistem pembagian atau pengaksesan laporan pencapain peserta didik.Sistem yang dimiliki masih menggunakan cara – cara konvensional yang dinilai belum memadahi dan masih cukup terkendala. Oleh karena itu tujuan pada penelitian ini adalah membangun sebuah sistem untuk mendukung kinerja pemilihan beserta laporan pencapaian kompetensi peserta didik.Melihat permasalahan yang ada, penulis mengambil metode untuk mengembangkan system penelitian adalah metode Sytem Development Life Cycle atau biasa disebut metode Waterfall. Adanya sistem ini dapat mempermudahkan para orangtua siswa untuk memantau nilai anaknya dan juga siswa atau wali peserta didik dapat mengakases laporan tersebut dengan cepat dan kapan saja tanpa kendala waktu dan jarak, dengan sistem ini pembagian laporan pencapaian kompetensi peserta didik menjadi 1 level lebih baik.Kata kunci : Sistem, Kompetensi, Peserta Didik.
PEMANFAATAN PRIVATE CLOUD STORAGE SEBAGAI MEDIA PENYIMPANAN DATA E-LEARNING PADA LEMBAGA PENDIDIKAN Santiko, Irfan; Rosidi, Rahman
JURNAL TEKNIK INFORMATIKA Vol 10, No 2 (2017): Jurnal Teknik Informatika
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (800.841 KB) | DOI: 10.15408/jti.v10i2.6992

Abstract

ABSTRAK Cloud Computing atau komputasi awan adalah gabungan pemanfaatan teknologi komputer ('komputasi') dan pengembangan berbasis Internet ('awan'). Awan (cloud) adalah metafora dari internet, sebagaimana awan yang sering digambarkan pada diagram jaringan computer. Selain seperti awan dalam diagram jaringan komputer, awan (cloud) dalam  cloud computing juga merupakan abstraksi dari infrastuktur kompleks yang disembunyikannya. Private Cloud Storage dengan kolaborasi komponen Service Oriented Architecture mampu menyediakan antarmuka yang efisien untuk proses berjalannya lembaga dan berfungsi sebagai Virtualization Server dan Online Storage yang dapat diakses menggunakan Fixed Device dan Mobile Device seperti Smartphone Android, Komputer Pad, dan PC Tablet melalui koneksi jaringan lokal dan internet.Sebagai fungsi manfaat dari cloud sendiri bisa di manfaatkan kedalam kebutuhan E-Learning, mengingat dari segi kemudahan, kebutuhan, dan keamanan, cloud computing terbilang metode yang pas dalam menerapkan kebutuhan tersebut. Dimana setiap data berhak di simpan secara bebas, luas dan aman tentunya.   ABSTRACT Cloud Computing is a combination of the use of computer technology and cloud of Internet-based development. Clouds are metaphors of the Internet, as are clouds that are often depicted in computer network diagrams. In addition to clouds in computer network diagrams, clouds in computing technology are also an abstraction of the complex infrastructure it conceals. Private Cloud Storage with Service Oriented Architecture component collaboration is able to provide an efficient interface for the running process of the institution and serves as Virtualization Server and Online Storage that can be accessed using Fixed Devices and Mobile Devices such as Android Smartphone, Pad Computer and Tablet PC via local network connection and Internet.As function of the benefits of the cloud itself can be utilized into the needs of E-Learning, given the ease, needs, and security, cloud computing spelled out the right method in applying these needs. Where every data is entitled to save freely, broadly and safely of course.How to Cite : Santiko, I. Rosidi, R., Wibawa. S. A (2017). PEMANFAATAN PRIVATE CLOUD STORAGE SEBAGAI MEDIA PENYIMPANAN DATA E-LEARNING PADA  LEMBAGA PENDIDIKAN. Jurnal Teknik Informatika, 10(2), 137-146. doi:10.15408/jti.v10i2.6992Permalink/DOI: http://dx.doi.org/10.15408/jti.v10i2.6992
IMPLEMENTASI FITUR PELAYANAN DAN PERBAIKAN DI PT. TELKOM MAINTENANCE SERVICE CENTER (MSC) AREA 1V BERBASIS WEB Santiko, Irfan; Prihatiningsih, Titin Nur
Jurnal Mantik Penusa Vol 21, No 1 (2017)
Publisher : Pelita Nusantara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (386.548 KB)

Abstract

PT. Telkom MSC (Maintenance Service Centre) adalah perusahaan besar yang melayani pelayanan jasa yaitu perbaikan perangkat yang berhubungan dengan TELKOMSEL. Didalam melakukan transaksi pelayanan jasa sering terjadi kesalahan pencatatan data, pengolahan data dan pembuatan laporan yang memerlukan waktu yang lama. Dari hasil observasi yang dilakukan, peneliti bermaksud memecahkan masalah yang dihadapi di PT.Telkom MSC ini. Oleh karena itu metode penelitian yang dilakukan adalah observasi, wawancara dan studi kepustakaan.Tujuan dari Proyek Akhir ini adalah untuk melakukan perancangan dan membangun Aplikasi Layanan Perbaikan di PT. Telkom MSC Area IV sehingga dapat membantu memberikan kemudahan dalam melakukan transaksi layanan perbaikan. Metode pengembangan sistem yang digunakan yaitu metode Extreme Programming. Hasil dari penelitian ini berupa aplikasi transaksi layanan perbaikan, sistem ini dapat mengatasi masalah-masalah yang sebelumnya ada yaitu dalam melakukan pengolahan pendataan pelanggan, transaksi layanan perbaikan sehingga lebih efektif dan efisien.
Implementation of Psychotest System Application Selection of KKL STMIK Participants in Purwokerto Amikom Using DISC (Dominance-Influence-Steadiness-Compliance) Santiko, Irfan; Prasetyo, Agung; Sukisno, Pradita Novianthy
Journal Of Informatic Pelita Nusantara Vol 4, No 1 (2019): Computer Science
Publisher : Journal Of Informatic Pelita Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (320.365 KB)

Abstract

Kuliah Kerja Lapangan abbreviated as KKL is one of the chosen programs for STMIK Amikom Purwokerto students, where this program can be taken after taking 5 semesters. There are two stages of selection for KKL participants which include registration and psychological test exams. The psychological test was conducted to determine the personality type to form a group, a tool used to measure personality types using the DISC (Dominance - Influence - Steadiness - Compliance) theory. Each DISC character has a different response to the pressure he experiences in the environment, because of his direct involvement with the community, a system is needed to help the formation of groups based on psychological results. The researcher made a web-based psychological test application to facilitate prospective field work participants in carrying out exams and help organizers of field work in determining groups based on psychological results. The researcher collected data using observation, interviews, questionnaires, and literature studies. The system development method used is the waterfall method.
PERBANDINGAN ALGORITMA CART DAN NAÏVE BAYESIAN PADA KASUS DIAGNOSIS PENYAKIT DIABETES Hermawan, Hellik; Santiko, Irfan
Jurnal Akrab Juara Vol 4 No 2 (2019)
Publisher : Yayasan Akrab Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diabetes mellitus is a disease that threatens serious health, can cause death and the World Health Organization (WHO) estimates that every 10 seconds there is one diabetes patient who dies of this disease. This makes researchers and practitioners focus their attention on detecting / diagnosing diabetes mellitus and preventing it because this disease can cause complications. The method used in this research is problem identification, data collection, pre-processing stage, classification method, validation and evaluation and conclusion drawing. The algorithm used in this study is CART and Naïve Bayes by using a dataset taken from the UCI Indian Pima database repository which consists of clinical data of patients who detected positive and negative diabetes mellitus. The validation and evaluation methods used are 10-cross validation and confusion. Matrix for precision, recall and F-Measure. The results of calculations that have been done, the results of the accuracy of the CART algorithm are 76.9337% with precision 0.764%, recall 0.769%, and F-Measure 0.765%. While the diabetes dataset tested by the Naïve Bayes algorithm gets an accuracy value of 73.7569% with precision 0.732%, recall 0.738%, and F-Measure 0.734%. From these results it can be concluded that to diagnose diabetes mellitus it is recommended to use the CART algorithm.
PEMODELAN DAN IMPLEMENTASI DESAIN RESPONSIVE WEBSITE SEBAGAI STANDAR INTERFACE PADA MOBILE Bagus Wijaya, Anugerah; Santiko, Irfan
Jurnal Akrab Juara Vol 4 No 1 (2019)
Publisher : Yayasan Akrab Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of digital technology in this period is very high. The need for consumption of information is so strong that it causes the growth of devices or media to obtain information varies. From the start of print media to electronic media, it is also increasingly prevalent. From observing the development of electronic media, various kinds of devices or can be called "Mobile" have undergone increasingly rapid reduction, ranging from personal computers to devices such as smartphones, tablet PCs and so on to become more concise. In short, in the media there are various supporting applications to provide information such as websites, for example. The more concise the tool used, the shorter the design that is presented in the application. In this study, we will review the analysis and suggestions for web design that are used to be more flexible and responsive to all the hardware used by the community in general.
KONSEP DAN MODEL FITUR E-CRM PADA LAYANAN TIKET TRANSPORTASI ONLINE DI WILAYAH PURWOKERTO JAWA TENGAH Santiko, Irfan; Suryani, Ade Irma
Jurnal Akrab Juara Vol 4 No 5 (2019)
Publisher : Yayasan Akrab Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Internet network users are increasing and everyone has their own busy lives. This can happen to people who usually use transportation services to travel outside the city and the internet network can be used as a liaison between the transportation and also customers. To help customers make online bookings, both door-to-door and point-to-point transportation, choosing a schedule and destination location as needed, a study is carried out, which is making a ticket reservation feature for web-based transportation agents. E-Ticketing is one of the results of the development of Customer Relationship Management (CRM) features where digital areas in the business are the basis of service products. However, not all transportation service companies know the basis of CRM and how to implement the actual or minimum standards that can be applied in accordance with the business strategies used in customer service.
Comparison of Cart and Naive Bayesian Algorithm Performance to Diagnose Diabetes Mellitus Santiko, Irfan; Subarkah, Pungkas
IJIIS: International Journal of Informatics and Information Systems Vol 2, No 1: March 2019
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i1.9

Abstract

Based on Indonesia's health profile in 2008, Diabetes Mellitus is the cause of the ranking of six for all ages in Indonesia with the proportion of deaths of 5.7% under stroke, TB, hypertension, injury and perinatal. This is reinforced by WHO (2003), Diabetes Mellitus disease reached 194 million people or 5.1 percent of the world's adult population and in 2025 is expected to increase to 333 million inhabitants. In particular, in Indonesia, people with Diabetes Mellitus are increasing. In 2000, Diabetes Mellitus sufferers have reached 8.4 million people and it is estimated that the prevalence of Diabetes Mellitus in 2030 in Indonesia reaches 21.3 million people.This allows researchers and practitioners to focus their attention on detecting/diagnosing diabetes mellitus and to prevent it because the disease can cause complications. The method used in this research was problem identification, data collection, pre-processing stage, classification method, validation and evaluation and conclusion. The algorithm used in this research was CART and Naïve Bayes using dataset taken from UCI Indian Pima database repository consisting of clinical data ofpatients who detected positive and negative diabetes mellitus. Validation and evaluation method used was 10-crossvalidation and confusion Matrix for the assessment of precision, recall and F-Measure. The result of calculation has been done, got the accuracy result on CART algorithm equaled to 76.9337% with precision 0.764%, recall 0.769%, and F-Measure 0.765%. Whilethe diabetes dataset was tested with the Naïve Bayes algorithm, got an accuracy of 73.7569% with precision 0.732%, recall 0.738%, and F-Measure 0.734%. From these results it can be concluded that to diagnose diabetes mellitus disease it is suggested to use CART algorithm.
Naive Bayes Algorithm Using Selection of Correlation Based Featured Selections Features for Chronic Diagnosis Disease Santiko, Irfan; Honggo, Ikhsan
IJIIS: International Journal of Informatics and Information Systems Vol 2, No 2: September 2019
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i2.14

Abstract

Chronic kidney disease is a disease that can cause death, because the pathophysiological etiology resulting in a progressive decline in renal function, and ends in kidney failure. Chronic Kidney Disease (CKD) has now become a serious problem in the world. Kidney and urinary tract diseases have caused the death of 850,000 people each year. This suggests that the disease was ranked the 12th highest mortality rate. Some studies in the field of health including one with chronic kidney disease have been carried out to detect the disease early, In this study, testing the Naive Bayes algorithm to detect the disease on patients who tested positive for negative CKD and CKD. From the results of the test algorithm accuracy value will be compared against the results of the algorithm accuracy before use and after feature selection using feature selection Featured Correlation Based Selection (CFS), it is known that Naive Bayes algorithm after feature selection that is 93.58%, while the naive Bayes without feature selection the result is 93.54% accuracy. Seeing the value of a second accuracy testing Naive Bayes algorithm without using the feature selection and feature selection, testing both these algorithms including the classification is very good, because the accuracy value above 0.90 to 1.00. Included in the excellent classification. higher accuracy results.
Classification of Low Birth Weight Baby Under Anthropometry uses Algorithms K-Means Clustering on Maternity Hospital Santiko, Irfan; Kurniawan, Deni
IJIIS: International Journal of Informatics and Information Systems Vol 3, No 1: March 2020
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i1.5

Abstract

LBW infants with birth weight less than 2500 grams regardless gestation period. Low birth weight is the weight of a baby who weighed within 1 hour after birth. World Health Organization (WHO) since 1961 states that all newborns are underweight or equal to 2,500 g called low birth weight infant (low birth weight). According to WHO. Statistically, morbidity and mortality in neonates in developing countries is high, with the main causes is associated with LBW. To facilitate medical personnel in determining the risk of LBW. From the testing that has been done by the author, the k-means clustering algorithm has accuracy in classifying LBW babies by spacing the proximity between variables and the similarities in the test data,