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SPEED - Sentra Penelitian Engineering dan Edukasi
Published by Asosiasi Profesi Multimedia Indonesia
ISSN : 19799330     EISSN : 20880154     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Education Electrical & Electronics Engineering Engineering Library & Information Science
Jurnal SPEED adalah majalah ilmiah untuk menampung publikasi riset yang dilakukan oleh dosen, guru dan praktisi agar bisa di kritisi banyak masyarakat sehingga menadpat kemanfaatan dalam kehidupan. Scope jurnal diantaranya adalah ilmu komputer, pemrograman, pendidikan, ebussines dan lingkup disekitarnya
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 9 Documents
 1 
Search results for , issue "Vol 8, No 3 (2016): Speed 2016" : 9 Documents clear
Perencanaan Strategi Sistem Informasi Pada Sekolah Tinggi Ilmu Komputer (Studi Kasus : STMIK Palangkaraya) Rommi Kaestria - STMIK Palangkaraya
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 8, No 3 (2016): Speed 2016
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55181/speed.v8i3.339

Abstract

Abstract - STMIK Palangkaraya established to prepare graduates of Computer Science can compete with graduates from similar institutions run the process lainnya..Dalam him as an organization engaged in the field of education services STMIK Palangkaraya has some problems of internal and external conditions that cause STMIK Palangkaraya yet to implement technology systems information for increased performance, the business success of the organization and increasethe competitiveness of the organization. The need to implement effective and efficient information should be made and the need for strategic planning of information systems and information systems to explore the various opportunities that fit the needs of a highly competitive STMIIK Palangkaraya. Strategic Planning Information System environment and methods Peppard. In analyzing the internal and external environment of business organizations, information systems analysis of internal and external environment or information technology IS / IT produces business strategy, management strategy IS / IT and IT strategy that resulted in a portfolio of applications developed as a strategy for action to STMIK Palangkaraya, to succeed in educational institutions run operation and is expected to survive in competition with other educational institutions.Keywords: Information System Strategy Planning, STMIK Palangkaraya, Ward and Pepard Abstrak – STMIK Palangkaraya didirikan untuk mempersiapkan Lulusan Ilmu Komputer mampu bersaing dengan lulusan dari institusi sejenis lainnya..Dalam menjalankan proses dia sebagai organisasi yang bergerak di bidang jasa pendidikan STMIK Palangkaraya memiliki beberapa masalah dari kondisi internal dan eksternal yang menyebabkan STMIK Palangkaraya belum menerapkan sistem Teknologi Informasi untuk peningkatan kinerja, keberhasilan bisnis organisasi dan increasethe daya saing organisasi. Kebutuhan untuk menerapkan informasi yang efektif dan efisien harus dilakukan serta kebutuhan untuk perencanaan strategis sistem informasi dan sistem informasi untuk mengeksplorasi berbagai peluang yang sesuai dengan kebutuhan STMIIK Palangkaraya sangat kompetitif. Sistem Informasi Perencanaan Strategis lingkungan dan metode Peppard. Dalam menganalisis lingkungan internal dan eksternal organisasi bisnis, sistem informasi analisis lingkungan internal dan eksternal atau teknologi informasi IS / IT yang menghasilkan strategi bisnis, strategi manajemen IS / IT dan strategi TI yang menghasilkan portofolio aplikasi maju sebagai strategi tindakan untuk STMIK Palangkaraya , untuk sukses dalam menjalankan operasi lembaga pendidikan dan diharapkan untuk bertahan dalam persaingan dengan lembaga pendidikan lainnya.Keywords: Information System Strategy Planning, STMIK Palangkaraya, Ward and Pepard.
Analisis Sistem Pemilihan Rektor Dengan Metode AHP (Analitycal Hierarchy Process) Farid Wajdy - Sekolah Tinggi Agama Islam Pamekasan
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 8, No 3 (2016): Speed 2016
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.946 KB) | DOI: 10.55181/speed.v8i3.21

Abstract

Abstract - Selection of Rector of Islamic University Pamekasan routinely done in 4 years once the process through the Senate by way of consensus. If the proceedings did not reach consensus then it will be voting. With the objectivity of the electoral system against the consensus figure of prospective low. While the voting system will bring friction due to a conflict of interest. To overcome this problem should be a system that is Rector of the electoral system. Rector Election Systems with AHP method. AHP method is a method that calculates the value of the ratio in determining the priority ranking candidates produce Rector.Keywords: Priority, AHP, Analitycal, Hierarchy, Election, Chancellor Abstrak - Pemilihan Rektor Sekolah Tinggi Agama Islam Pamekasan rutin dilakukan dalam 4 tahun sekali yang prosesnya melalui senat dengan cara musyawarah mufakat. Jika pada proses sidang tidak mencapai mufakat maka akan dilakukan voting. Dengan sistem pemilihan musyawarah mufakat objektifitas terhadap sosok calon rendah. Sedangkan dengan sistem voting akan memunculkan gesekan-gesekan akibat konflik kepentingan. Untuk mengatasi masalah tersebut harus adanya sistem yaitu sistem pemilihan Rektor. Sistem Pemilihan Rektor dengan Metode AHP. Metode AHP merupakan metode yang menghitung nilai rasio dalam menentukan prioritas yang menghasilkan rangking kandidat Rektor.Keywords: Prioritas, AHP, Analitycal,Hierarchy, Pemilihan, Rektor
Sistem Informasi Pembayaran Unit Apartemen Pada PT Starindo Kapital Indonesia Hinsa .; Ahmad Ishaq .
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 8, No 3 (2016): Speed 2016
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (355.793 KB) | DOI: 10.55181/speed.v8i3.248

Abstract

Abstrak - Sistem pembayaran unit apartemen pada PT. Starindo kapital Indonesia yang saat ini berjalan dirasa kurang efektif karena sistem pembayaran yang belum terkomputerisasi secara optimal sehingga proses pembayaran tidak dapat diakses secara cepat, tepat dan akurat. Proses laporan yang masih manual juga dianggap tidak efisien karena akan memakan banyak waktu dalam proses pelaporan terhadap atasan. Program pembayaran unit apartemen yang di usulkan dapat membantu proses akses lebih cepat, tepat dan akurat serta laporan yang akan dibuat setiap harinya akan mempermudah dengan mencetak dari program secara langsung. Abstract - The payment of apartment units in PT.Starindo Kapital Indonesia payment system and are currently running it is less effective because the payment system is not computerized so that the optimal payment process can not be accessed quickly, precisely and accurately. The process is still manual report also considered inefficient because it will take a lot of time in the process of reporting to superiors. The payment of apartment units program and the proposed shop can help process faster access, precise and accurate and the report will be made each day will make it easier to print from the program directly.   Key Word:  Information systems payment 
PEMBANGUNAN SISTEM INFORMASI DATA BALITA PADA POSYANDU DESA PLOSO KECAMATAN PUNUNG KABUPATEN PACITAN Widiana Mulyani .; Bambang Eka Purnama .; Indah Uly Wardati .
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 8, No 3 (2016): Speed 2016
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (286.94 KB) | DOI: 10.55181/speed.v8i3.487

Abstract

ABSTRACT: In this globalization era, the computer is needed in all aspects of life in the world of health care is no exception. Posyandu as public health service, especially the health of mothers and babies are still using conventional methods in data processing. Posyandu Information Systems is an activity input, process, and output data that that will exist in the data base posyandu like posyandu, posyandu service like posyandu service activies, health posts and user data posyandu officer. Posyandu information system are initially still needs to be developed into a conventional computerized system. In making this information system is expected to help the performance  of officials in the administration posyandu. With this information system is expected to ease the process of input, data output posyanduPlosoVillage.Keywords: System Administration Posyandu. Abstraksi : Dalam era globalisasi ini komputer sangat dibutuhkan dalam segala aspek kehidupan tidak terkecuali dalam dunia kesehatan. Posyandu selaku pelayanan kesehatan masyarakat terutama kesehatan ibu dan bayi masih menggunakan metode konvensional dalam pengolahan data. Sistem informasi posyandu merupakan kegiatan input, proses, dan output akan data yang ada dalam posyandu seperti data dasar posyandu, kegiatan layanan posyandu, data pengguna posyandu dan petugas posyandu. Sistem Informasi posyandu yang awalnya masih konvensional perlu dikembangkan menjadi sistem komputerisasi. Dalam pembuatan sistem ini diharapkan dapat membantu kinerja petugas Posyandu dalam hal administrasi Posyandu. Dengan sistem informasi ini diharapkan mempermudah proses input, output data Posyandu Desa Ploso.Kata Kunci : Sistem Administrasi Posyandu
Analisis Return On Investment Penerapan Sistem Informasi Core Banking Keuangan Syari’ah Taufik Nizami - STMIK Banjarbaru
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 8, No 3 (2016): Speed 2016
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (33.211 KB) | DOI: 10.55181/speed.v8i3.20

Abstract

Abstract - Return On Investment Analysis Information System Core Banking Implementation of Shariah Finance, the research objectives are as educational requirements to complete AMIKOM STMIK S2 in Yogyakarta. The variables studied were large investment made, bulananan fees and monthly benefits derived from the implementation of Core Banking Information System obtained.The analysis process using Return On Investment, from process analysis reveals a profit of Rp 3.4 million per month, -, with ROI methods showed 87% per year. So that the application of information systems BMT costs incurred will be back in 2 to 3 months.Keywords: Information Systems, Core Banking, Return On Investment. Abstrak - Analisis Return On Investment Penerapan Sistem Informasi  Core Banking Keuangan Syari’ah, tujuan penelitian adalah sebagai persyaratan untuk menyelesaikan pendidikan S2 di STMIK AMIKOM Yogyakarta. Variabel yang diteliti yaitu besar investasi yang dikeluarkan, biaya bulananan dan manfaat bulanan yang diperoleh dari penerapan Sistem Informasi Core Banking yang diperoleh.            Proses analisis menggunakan metode Return On Investment, dari proses analisis didapatkan keuntungan perbulan sebesar Rp 3.400.000,- ,dengan  metode ROI didapatkan hasil  87% pertahun. Sehingga penerapan sistem informasi BMT  biaya yang dikeluarkan akan  kembali  pada tahun ke 2 bulan ke 3.Kata kunci : Sistem Informasi, Core Banking , Return On Investment.
Implementasi Algoritma Naïve Bayes Classifier Berbasis Particle Swarm Optimization (PSO) Untuk Klasifikasi Konten Berita Digital Bahasa Indonesia - BSI Pontianak, Acmad Nurhadi
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 8, No 3 (2016): Speed 2016
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (142.017 KB)

Abstract

Abstract - A lot of important information is stored in the document word, and have each topic, then text classification is one solution to manage the information that is growing rapidly and the abundant, and already many agencies engaged in the distribution of information or news already started using web-based systems to deliver up to date news. However, the news divide into these categories for now still dilakukkan manually, so it is very troublesome and can also take a long time. In this study will be used merging feature selection methods, namely Particle Swarm Optimization based Naïve Bayes classifier to look at the accuracy of the method. This research has resulted in the form of text classification category of gossip, culinary, and travel from digital news content. Measurement is based on Naïve Bayes classifier accuracy before and after the addition of feature selection methods. The evaluation was done using a 10 fold cross validation. While the measurement accuracy is measured by confusion matrix. The results of this study obtained accuracy by using Naïve Bayes classifier algorithm method amounted to 94.17%.Keywords: Particle Swarm Optimization, Naïve Bayes classifier, classification News Content, Text Mining Abstrak - Banyak informasi penting yang tersimpan didalam dokumen berita, dan mempunyai topik masing-masing, kemudian klasifikasi teks merupakan salah satu solusi untuk mengelola informasi yang berkembang pesat dan melimpah tersebut, serta sudah banyak juga instansi yang bergerak dalam penyaluran informasi atau berita sudah mulai menggunakan sistem berbasis web untuk menyampaikan berita secara up to date. Namun, dalam membagi berita ke dalam kategori-kategori tersebut untuk saat ini masih dilakukkan secara manual, sehingga sangat merepotkan dan juga dapat memakan waktu yang lama. Dalam penelitian ini akan digunakan penggabungan metode pemilihan fitur, yaitu Particle Swarm Optimization berbasis Naïve Bayes Classifier untuk melihat akurasi pada metode tersebut. Penelitian ini menghasilkan klasifikasi teks dalam bentuk kategori gosip, kuliner, dan travel dari konten berita digital. Pengukuran berdasarkan akurasi Naïve Bayes Classifier sebelum dan sesudah penambahan metode pemilihan fitur. Evaluasi dilakukan menggunakan 10 fold cross validation. Sedangkan pengukuran akurasi diukur dengan confusion matrix. Hasil penelitian ini didapat akurasi dengan menggunakan metode algoritma Naïve Bayes Classifier sebesar 94.17%.Kata kunci : Particle Swarm Optimization, Naïve Bayes Classifier, Klasifikasi Konten Berita, Text Mining
Komparasi Algoritma Neural Network, K-Nearest Neighbor Dan Naive Baiyes Untuk Memprediksi Pendonor Darah Potensial Wahyu Eko Susanto - AMIK BSI Yogyakarta; Dwiza Riana2 - STMIK Nusa Mandiri
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 8, No 3 (2016): Speed 2016
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.557 KB) | DOI: 10.55181/speed.v8i3.83

Abstract

Abstrct – To be able to maintain a minimum stock of blood transfusion, donate their blood,potential pendonror returned must be known, since the blood results tranfusi can no longer be used after 42 days. During this time in predicting potential donors donate their blood again produces different accuracy on some algorithms of classification by using dataset are different. So it is not yet known where the dataset with algorithm suitable for predictions. Need to find out and distinguish between potential blood donors donate their blood again and what not, need to be built so that the blood donor unit can take the decision to keep the blood stock to keep it secure. In this study performed comparisons of Neural Network Algorithm, K-Nearest Neighbor and Naïve Bayes data is applied to the donors and blood donor transaction data with RFMTC dataset and PMI dataset. From the test results by measuring the performance of these three algorithms when applied to both of the dataset test using the Confusion Matrix and ROC Curves, it is known that neural network algorithm with dataset RFMTC has the value of the highest accuracy. Soobtained the use if neural network algorithm with dataset RFMTC which fits in this research to applied to the prediction of potential blood donors.Keyword: Blood Donors, Neural Network, Naïve Bayes, K-NN, RFMTC.
Evaluasi Kesiapan Implementasi Green ICT Di Lingkungan Sekolah Negeri Kabupaten Ponorogo Mohammad Bhanu Setyawan - Universitas Muhammadiyah Ponorogo
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 8, No 3 (2016): Speed 2016
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55181/speed.v8i3.53

Abstract

Abstract - This article aims to mengavaluasi readiness of the implementation of Green ICT in schools Negri Ponorogo using G-Readiness Framework. The sample used in this study is 29 samples. The analytical tool used to build the model are: attitude, policy, practice model, and governance. Evaluation of the goodness of fit and bootstrapping resampling is used to analyze the feasibility of this model. Evaluation of the goodness of fit of the structural model is measured using a predictive value-relevance obtained a value of = 0.79 which means that the model has good predictive value. The final result obtained using bootstrapping resampling by calculating the relationship between variables have the value t count bigger = 2.01 in evaluating the readiness of the implementation of Green ICT in Schools Ponorogo country. Three variables showed a significant result and indicates readiness in the implementation of Green ICT, namely: practice model, policy and governance. Two variables showed no significant results and has not been prepared in implementation of green ICT, namely: attitude and technologyKeywords: Green ICT, G-Readness, PLS Abstrak – Artikel ini bertujuan untuk mengavaluasi kesiapan implementasi Green ICT di sekolah Negri Kabupaten Ponorogo dengan menggunakan G-Readiness Framework. Sampel yang digunakan dalam penelitian ini adalah 29 sampel. Alat analisis yang digunakan untuk membangun model adalah: attitude, policy, practise, dan governance. Evaluasi goodness of fit dan resampling bootstraping digunakan untuk menganalisis kelayakan model. Evaluasi goodness of fit model struktural diukur menggunakan nilai predictive-relevance diperoleh nilai sebesar = 0,79 yang artinya model memiliki nilai prediktif yang baik. Hasil akhir diperoleh dengan menggunakan resampling bootstraping dengan menghitung hubungan antar variabel memiliki nilai t-hitung yang lebih besar = 2.01 dalam mengevaluasi kesiapan implementasi Green ICT di Sekolah negri Kabupaten Ponorogo. Tiga variabel menunjukan hasil signifikan dan mengindikasikan kesiapan dalam implementasi Green ICT, yaitu: practise, policy dan governance. Dua variabel yang menunjukkan hasil yang tidak signifikan dan belum siap dalam implementasi green ICT, yaitu: attitude dan technologyKata kunci:  Green ICT, G-Readness, PLS 
Model Penunjang Keputusan Penentuan Penerima Beasiswa Berprestasi Berbasis SAW STMIK Banjarbaru Fadilah - STMIK Banjarbaru, Kalimantan Selatan
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 8, No 3 (2016): Speed 2016
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55181/speed.v8i3.111

Abstract

Abstract - Scholarships are given financial assistance to individuals for the purpose of helping the sustainability of education pursued. Along with the number of students who apply for scholarships while the number of recipients is limited, we conducted a selection process in awarding scholarships, but this time in the selection process they are objective because the assessment is only based on GPA, active in the organization and closeness with the lecturer or on the recommendation of teachers so awarding scholarships achievement sometimes not well targeted. For that we need a model of decision support determination of recipients excel in STMIK Banjarbaru. This research aims to develop a decision support system modeling achievement awardees determination based Simple Additive Weighting (SAW) in STMIK Banjarbaru. The benefits of this research to ensure that ratings are not objective and based on the criteria that have been determined. Simple Additive weighting method (SAW) considered suitable for selection for admission scholarship Simple Additive Weighting (SAW) will make the process of ranking the popularity of attributes with different weights so the results are optimal.Keywords : Scholarship , SAW Abstrak – Beasiswa merupakan bantuan keuangan yang diberikan kepada perorangan dengan tujuan untuk membantu keberlangsungan pendidikan yang ditempuh. Seiring dengan banyaknya mahasiswa yang mengajukan permohonan beasiswa sedangkan jumlah penerima beasiswa terbatas, maka dilakukanlah proses seleksi dalam pemberian beasiswa, namun selama ini dalam proses seleksi masih bersifat objektif karena penilaian hanya berdasarkan IPK, keaktifan dalam organisasi dan kedekatan dengan dosen atau berdasarkan rekomendasi dari dosen sehingga pemberian beasiswa berprestasi terkadang belum tepat sasaran. Untuk itu diperlukan suatu model penunjang keputusan penentuan penerima beasiswa berprestasi di STMIK Banjarbaru. Penelitian ini bertujuan untuk membangun sistem pemodelan penunjang keputusan penentuan penerima beasiswa berprestasi berbasis Simple Additive Weighting (SAW) di STMIK Banjarbaru. Manfaat dari penelitian ini untuk menjaga agar penilaian tidak bersifat objektif dan berdasarkan pada kriteria-kriteria yang telah ditentukan. Metode Simple Additive Weighting (SAW) dianggap sesuai untuk seleksi penerimaan beasiswa karena Simple Additive Weighting (SAW) akan melakukan proses perangkingan berdasarkan atribut dengan bobot yang berbeda-beda sehingga hasilnya lebih optimal.Kata kunci:  Beasiswa, SAW

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