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INDONESIA
Jurnal Ilmiah Informatika Komputer
Published by Universitas Gunadarma
ISSN : 08538638     EISSN : 20898045     DOI : http://dx.doi.org/10.35760/ik
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
This journal is published periodically three times a year, April, August, and December. It publishes a broad range of research articles on Information Technology and Communication, whether in Indonesian Language or English.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 7 Documents
 1 
Search results for , issue "Vol 22, No 2 (2017)" : 7 Documents clear
A FAILURE MODE AND EFFECT ANALYSIS ON WATER RECIPROCATING PUMP FOR DRILLING INDUSTRY Satria, Adam
Jurnal Ilmiah Informatika Komputer Vol 22, No 2 (2017)
Publisher : Universitas Gunadarma

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Abstract

Pumps  have been designed for a variety of purposes that operate to move liquid on high elevation and high pressure. One of them is a positive-displacement reciprocating duplex power pump. In drilling industry, it is used to circulate clean water to the supply tank, and to mix mud while simultaneously drilling. A Failure Mode and Effect Analysis (FMEA) was carried out on these pumps to analyze potential failures. In this study, the data of pump’s failures, occurrences, and detection methods were collected from PT Airtara Bekasi and interpreted on a criteria rank system to determine its Risk Priority Number (RPN). Discussions on recommended actions to decrease failure risks were conducted in brainstorming meetings. Of the whole RPN results, the highest score which was scored 224 was found in a Silicon-Controlled Rectifier. To reduce RPN score of this pump, several steps were applied, namely: installed bridge diode to reduce ripple wave on converted DC waveform, installed fuse current to prevent damage from shorting, improved the quality of drive current, and implemented proper installation circuit diagram. The FMEA was then repeated to determine the new score of revised RPN. It decreased significantly from 224 to 54 or it had about 76% reduction. Keywords: Failure Mode and Effect Analysis, FMEA, Positive-Displacement Pump, Power Pump, Reciprocating Pump
FAILURE MODES AND EFFECT ANALYSIS METHOD ON A DRILL STRING COMPONENTS Kharisma, Aji A.
Jurnal Ilmiah Informatika Komputer Vol 22, No 2 (2017)
Publisher : Universitas Gunadarma

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This research is focused on the Rotary shoulder connection (Bit sub), 5” OD Heavy Weight Drill Pipe and 8 ” OD  Spiral Drill Collar in the form of pitting thread, galled thread and damage of thread which is conducted by using FMEA (Failure Mode and Effect Analysis) method. The objectives of this research are to determine the risk priority number and a risk ranking  ( RPN : Risk Priority number )  through the data of failure which is occur on pitting thread, galled thread and damage of thread on the Rotary shoulder connection (Bit sub), 5” OD Heavy Weight Drill Pipe and 8 ” OD  Spiral Drill Collar. The result shows that the risk ranking can be founded with the condition acceptable risk with the RPN criteria   < 35 ( Low Risk ) and RPN in the range of 35 - 124 ( medium risk ) and the result risk ranking or high risk with criteria RPN in the range of 124 - 1000 the condition is unacceptable. The result from value of RPN after reducing from the three of failure on the Rotary shoulder connection (Bit sub), 5” OD Heavy Weight Drill Pipe and 8 ” OD  Spiral Drill Collar can be accepted with the criteria of RPN in the range of 35 - 124 (medium risk). Keywords : FMEA ( Failure Mode and Effect Analysis ), Drill String Components, RPN ( Risk Priority Number ), Maintenance and preventive control. 
MEASUREMENT OF THE BEST METHOD BETWEEN CERTAINTY FACTOR AND BAYES THEOREM METHODS IN EXPERT SYSTEM BY USING SPSS AND ODM APPLICATIONS Dwiparaswati, Windy
Jurnal Ilmiah Informatika Komputer Vol 22, No 2 (2017)
Publisher : Universitas Gunadarma

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Abstract

The science that study how to make a computer can act and have the intelligence of a human being is called artificial intelligence. One field of artificial intelligence is expert systems. Expert system must be able to work in uncertainty. Many researchers use methods in making expert system in a particular domain. In detecting a disease in an expert system, the results of data accuracy is a critical component for the achievement of the expected solution. Two studies explain the differences in the results of the accuracy of the Certainty Factor and Bayes method, although using the same domain that chronic kidney disease. This study aims to use the method of Certainty Factor (CF) and Bayes Theorem in representing the calculation results of ASD in children under 5 years old, compare the final value result of the Certainty Factor and Bayes Theorem Method, determine the best method between certainty factor and Bayes Theorem that has the best accuracy in detecting the possibility of children affected by autism spectrum disorders, with the application of SPSS and ODM. The final accuracy show 66.67% states that the final accuracy value use certainty Factor and Bayes method is as good on SPSS application, and 33.33% states that Certainty Factor which is the best method on ODM application.
VALIDASI EKSPORT DATA NO-SQL dan SQL DENGAN PEMANFAATAN FUZZING Fadly, Muhammad
Jurnal Ilmiah Informatika Komputer Vol 22, No 2 (2017)
Publisher : Universitas Gunadarma

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Abstract

Database adalah kumpulan informasi yang disimpan di dalam komputer secara sistematik sehingga dapat diperiksa menggunakan suatu program komputer untuk memperoleh informasi. Perusahaan yang memanfaatkan teknologi komputer untuk manajemen informasi dapat dipastikan menggunakan software database. Fuzzing adalah salah satu cara penting untuk menguji perangkat lunak untuk bug dan kerentanan. Pemanfaatan Fuzzing (Fuzz Testing) untuk validasi eksport data merupakan pemeriksaan tentang kebenaran sesuatu, baik berupa laporan atau suatu informasi. Sementara data merupakan satuan terkecil yang diwujudkan dalam bentuk angka atau huruf yang menggambarkan tentang nilai dari suatu variabel. Dengan demikian, teknis validasi data adalah suatu cara untuk melakukan pemeriksaan tentang kebenaran nilai dari suatu variabel. Validasi data sangat diperlukan sehingga hasil analisis data akan bermanfaat bagi pembuatan keputusan bila data yang ada adalah data yang baik dan benar. Kata Kunci : Basis data, fuzzing, validas
ANALISIS PROSES DATA MINING DALAM SISTEM PEMBELAJARAN BERBANTUAN KOMPUTER PADA PRAKTIKUM LABORATORIUM SISTEM INFORMASI UNIVERSITAS GUNADARMA DENGAN PENDEKATAN MACHINE LEARNING Setiyanto, Kuwat
Jurnal Ilmiah Informatika Komputer Vol 22, No 2 (2017)
Publisher : Universitas Gunadarma

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Laboratorium Sistem Informasi merupakan salah satu laboratorium yang dimiliki Universitas Gunadarma dengan tujuan untuk membantu mahasiswa mempraktekkan teori yang telah didapat dalam pembelajaran di kelas. Kegiatan pada laboratorium ini adalah mengatur pelaksanaan praktikum yang dimulai dari penjadwalan praktikum, penjadwalan asisten, pelaksanaan praktikum, dan penginputan nilai. Pada pelaksanaannya selain terdapat praktikum reguler yang dilakukan dalam ruangan laboratorium, terdapat pula praktikum gabungan yang dilaksanakan secara online melalui website Laboratorium Sistem Informasi. Pelaksanaan praktikum secara online memungkinkan terdapatnya ketersediaan data mahasiswa dan nilai mahasiswa untuk diolah. Penelitian ini bertujuan untuk menganalisis proses data mining pada praktikum kelas gabungan untuk meningkatkan sistem pengajaran dan pembelajaran berbantuan komputer. Hal ini dilakukan dengan cara mengamati hasil dari nilai sekelompok mahasiswa dan memahami tentang bagaimana mahasiswa belajar. Proses data mining dalam penelitian ini dipisahkan menjadi pengumpulan data, transformasi data dan analisis data. Perangkat lunak yang digunakan adalah Wakaito Environtment for Knowledge Analysis (WEKA) dengan pendekatan machine learning, yaitu menggunakan metode Association Rule, Classification Tree dan Clustering. Berdasarkan analisis data hasil pembelajaran yang dilakukan dengan menerapkan teknik Association Rules, Clustering dan Classification telah didapatkan keterkaitan antara data jenis tuntunan soal latihan dengan data nilai hasil latihan, sehingga menghasilkan informasi mengenai tingkat keberhasilan mahasiswa dalam mengikuti praktikum kelas gabungan Laboratorium Sistem Informasi Universitas Gunadarma. Kata kunci: Association Rules, Classification Tree, Machine Learning, Proses Data Mining, WEKA
SISTEM PENUNJANG KEPUTUSAN UNTUK MENGUSULKAN ALTERNATIF TINDAKAN PADA KARYAWAN Pramudhita, Ardisa; Wulandari, Lily
Jurnal Ilmiah Informatika Komputer Vol 22, No 2 (2017)
Publisher : Universitas Gunadarma

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PT. Pos Indonesia (Persero) Regional IV Jakarta Selatan harus dapat mengelola seluruh sumber daya yang dimiliki oleh perusahaan khususnya Sumber Daya Manusia yang merupakan asset utama. PT. Pos Indonesia (Persero) ini membutuhkan waktu selama 3 bulan untuk perencanaan karyawan. Perencanaan karyawan dapat dibantu dengan adanya Sistem Informasi Manajemen Kepegawaian yang efektif terutama dalam pengambilan keputusan bagi pimpinan organisasi dalam manajemen Sumber Daya Manusia yang sehat.  Pada penelitian ini dibangun sebuah sistem penunjang keputusan yang dapat digunakan untuk membantu kegiatan perencanaan karyawan. Sistem Penunjang Keputusan yang dibuat bertujuan untuk membantu Manajer Sumber Daya Manusia memilih alternatif tindakan yang dapat diambil ketika melakukan perencanaan Sumber Daya Manusia bagi perusahaan terkait. Metode Simple Additive Weighting (SAW) digunakan dalam penelitian ini  untuk menghasilkan alternatif perencanaan karyawan dalam simulasi yang diberikan oleh sistem. Sumber informasi yang dibutuhkan didapat dari wawancara kepada karyawan terkait dan kajian pustaka. Sistem Penunjang Keputusan ini berbasis web dengan menggunakan bahasa pemrograman PHP dan MySQL. Sistem Penunjang Keputusan ini yaitu HRDSS berhasil dibangun untuk membantu Manajer Sumber Daya Manusia pada PT. Pos Indonesia (Persero) merekomendasikan alternatif tindakan yang dapat diambil ketika melakukan perencanaan Sumber Daya Manusia. Aplikasi HRDSS ini dapat melakukan simulasi perhitungan perencanaan karyawan serta memberikan informasi berupa perubahan jabatan, perubahan grade, informasi kepangkatan, informasi penggajian, dan informasi pelatihan. Kata kunci: Perencanaan Karyawan, Simple Additive Weighting, Sistem Penunjang Keputusan.
COLOR IMAGE COMPRESSION USING DISCRETE COSINUS TRANSFORM (DCT) Saputra, Adietiya R.
Jurnal Ilmiah Informatika Komputer Vol 22, No 2 (2017)
Publisher : Universitas Gunadarma

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Abstract

Multimedia continues to grow. One of the most widely used elements in multimedia is images. An important component of the image is color. In the development of multimedia, color image is more often used because they are more interesting and informative. Along with these developments, a way to store and send images efficiently is required with the color quality of the image is maintained. The purpose of this research is to compress the color in color images so that the image is more efficient in storage, but people can still capture the information provided by that image. In this research 2D-DCT (Discrete Cosine Transform) is used for compressing a color image in order to have less memory but still have a good quality. The result is a compressed image with much smaller size than the source image but does not look much different when viewed by the human eye. The result showed the percentage of compression achieved 95.88 percent for extreme image and achieved 97.59% for the soft color (homogeneous). This technique does not damage the image and has a high compression ratio for lossy compression.      Keywords :  image compression, DCT, quantization

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