Articles

ROUTING ATTACS PADA INTERNET OF THINGS BERBASIS SMART INTRUTION DETECION SYSTEM Sofa, Eka Lailatus; Subiyanto, Subiyanto
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7, No 2: April 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020721926

Abstract

Internet of Things (IoT) telah memasuki berbagai aspek kehidupan manusia, diantaranya smart city, smart home, smart street, dan smart industry yang memanfaatkan internet untuk memantau informasi yang dibutuhkan. Meskipun sudah dienkripsi dan diautentikasi, protokol jaringan IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN) yang dapat menghubungkan benda-benda yang terbatas sumber daya di IoT masih belum dapat diandalkan. Hal ini dikarenakan benda-benda tersebut masih dapat terpapar oleh routing attacks yang berasal dari jaringan 6LoWPAN dan internet. Makalah ini menyajikan kinerja Smart Intrusion Detection System berdasarkan Compression Header Analyzer untuk menganalisis model routing attacks lainnya pada jaringan IoT. IDS menggunakan compression header 6LoWPAN sebagai fitur untuk machine learning algorithm dalam mempelajari jenis routing attacks. Skenario simulasi dikembangkan untuk mendeteksi routing attacks berupa selective forwarding attack dan sinkhole attack. Pengujian dilakukan menggunakan feature selection dan machine learning algorithm. Feature selection digunakan untuk menentukan fitur signifikan yang dapat membedakan antara aktivitas normal dan abnormal. Sementara machine learning algorithm digunakan untuk mengklasifikasikan routing attacks pada jaringan IoT. Ada tujuh machine learning algorithm yang digunakan dalam klasifikasi antara lain Random Forest, Random Tree, J48, Bayes Net, JRip, SMO, dan Naive Bayes. Hasil percobaan disajikan untuk menunjukkan kinerja Smart Intrusion Detection System berdasarkan Compression Header Analyzer dalam menganalisis routing attacks. Hasil evaluasi menunjukkan bahwa IDS ini dapat mendeteksi antara serangan dan non-serangan. AbstractInternet of Things (IoT) has entered various aspects of human life including smart city, smart home, smart street, and smart industries that use the internet to get the information they need. Even though it's encrypted and authenticated, Internet protocol  IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN) networks that can connect limited resources to IoT are still unreliable. This is because these objects can still be exposed to attacks from 6LoWPAN and the internet. This paper presents the performance of an Smart Intrusion Detection System based on Compression Header Analyzer to analyze other routing attack models on IoT networks. IDS uses a 6LoWPAN compression header as a feature for machine learning algorithms in learning the types of routing attacks. Simulation scenario was developed to detect routing attacks in the form of selective forwarding and sinkhole. Testing is done using the feature selection and machine learning algorithm. Feature selection is used to determine significant features that can distinguish between normal and abnormal activities. While machine learning algorithm is used to classify attacks on IoT networks. There were seven machine learning algorithms used in the classification including Random Forests, Random Trees, J48, Bayes Net, JRip, SMO, and Naive Bayes. Experiment Results to show the results of the Smart Intrusion Detection System based on Compression Header Analyzer in analyzing routing attacks. The evaluation results show that this IDS can protect between attacks and non-attacks.
PENDIDIKAN DAN KELESTARIAN LINGKUNGAN Subiyanto, Subiyanto
Jurnal Cakrawala Pendidikan CAKRAWALA PENDIDIKAN, EDISI 1,1981,TH.I
Publisher : LPPMP Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/cp.v1i1.7392

Abstract

Dewasa ini ahli-ahli pendidikan memberikan pengertian pendidikan dengan warna proses perkembangan masyarakat yang bermuka dan beraspek banyak (Dr. Emile Salim). Istilah pendidikan itu telah dikenal banyak orang dan setiap orang tahu dan mengerti apa pendidikan itu -  melihat salah satu kemungkinannya. Kemungkinan lain adalah bahwa setiap orang sebenarnya tidak tahu dan tidak mengerti pendidikan; atau setiap orang sesungguhnya tidak mengerti pendidikan, mereka hanya tahu saja.Pendidikan itu suatu made-man structure, kata T. A. Razik, pemikir pola analisa sitem. Pendidikan adalah suatu proses interaksi yang menuju ke suatu tujuan khusus (rumusan hasil rapat kerja Fakultas Ilmu Pendidikan - IKIP Yogyakarta).Pendidikan suatu proses pembentukan pribadi seperti yang dicita-citakan, atau suatu proses pembentukan pribadi dengan cara mendalam seperti terlihat pada perubahan tingkah laku yang diharapkan dan dicita-citakan.
RECOMMENDATION SYSTEM FOR VOCATIONAL MAJOR STREAMING BY C4.5 ALGORITHM Prabowo, Indra Mukti; Subiyanto, Subiyanto
Jurnal Kependidikan: Penelitian Inovasi Pembelajaran Vol 1, No 1: Juni 2017
Publisher : LPPM UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jk.v1i1.8964

Abstract

This study was aimed at presenting decision tree model using C4.5 algorithm in developing a major selection system for vocational schools. The study was reseach and development using questionnaires and documentation as data collection instruments. The input variables were: interest, academic talent, National Exam score, and gender. The target variable was choice of majors. Decision trees were used to analyze the data from grade 10 of vocational schools Batang in District. The C4.5 Algorithm was used to build decision trees in describing the relationship between the input variables and the target variable in the form of patterns. The patterns were used as a guide for the classification of the input variables into the target variable. The data were analyzed by comparing results of the output system and students? highest parallel ranking. Results show that the system is able to provide appropriate recommendations up to 83.33% out of the 48 tested dataSISTEM REKOMENDASI PENJURUSAN SEKOLAH MENENGAH KEJURUAN DENGAN ALGORITMA C4.5Penelitian ini bertujuan untuk menyajikan model decision tree dengan algoritma C4.5 dalam mengembangkan sistem rekomendasi pemilihan jurusan untuk calon siswa baru Sekolah Menengah Kejuruan (SMK). Pendekatan yang digunakan adalah research and development (R&D). Pengumpulan data dilakukan dengan teknik angket dan studi dokumentasi. Variabel input yang digunakan dalam penelitian ini antara lain: minat, bakat akademik, nilai ujian nasional, dan jenis kelamin. Pilihan jurusan menjadi variabel target. Decision tree digunakan dalam menganalisis data siswa kelas 10 SMK se-Kecamatan Batang. Algoritma C4.5 digunakan untuk membangun decision tree yang menggambarkan hubungan antara variabel input dengan variabel target dalam bentuk pola. Pola tersebut digunakan sebagai aturan untuk proses klasifikasi variabel input ke dalam variabel target. Data penelitian dianalisis dengan cara membandingkan hasil output system dengan data siswa kelas 10 dengan tiga besar ranking paralel sebagai data uji. Hasil uji sistem menunjukkan bahwa sistem dapat memberikan rekomendasi yang tepat sebesar 83,33% dari 48 data uji
SISTEM PENDUKUNG KEPUTUSAN PEMINATAN SMAMENGGUNAKAN METODE WEIGHTED PRODUCT (WP) Fartindyyah, Nurul; Subiyanto, Subiyanto
Jurnal Kependidikan: Penelitian Inovasi Pembelajaran Vol 44, No 2: November 2014
Publisher : LPPM UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jk.v44i2.5224

Abstract

Peminatan Sekolah Mengah Atas (SMA) dilakukan pada awal pendaftaran. Proses peminatan SMAmemiliki banyak kriteria,tidak semua sekolah mampu menggunakan acuan yang telah ditentukan secara kumulatif oleh kementerian pendidikan dan kebudayaan Indonesia. Tujuan dari tulisan ini adalah membangun suatu model multi attribute decision making (MADM) dengan metode penyelesaian weighted product (WP) sebagai Sistem Pendukung Keputusan Peminatan SMA dalam pengelompokan mata pelajaran yang sesuai dengan kurikulum 2013. Membuat sistem pendukung keputusan peminatan SMA diperlukan data berupa nilai raport Sekolah Menengah Pertama (SMP), nilai UN SMP, dan minat siswa. Data sampel untuk uji sistemdiambil dari data siswa kelas X, SMA Negeri 13 Semarang. Hasil uji sistem menunjukkan 93.2% dari 103 jumlah data siswa sesuai dengan proses peminatan yang dilakukan manual di SMA N 13 Semarang.
KOMPOSISI DAN DISTRIBUSI LARVA IKAN PELAGIS DI ESTUARIA PELAWANGAN TIMUR, SEGARA ANAKAN, CILACAP Subiyanto, Subiyanto; Ruswahyuni, Ruswahyuni; Gondo Cahyono, Dwi
Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Vol 4, No 1 (2008): Jurnal Saintek Perikanan
Publisher : Fakultas Perikanan dan Ilmu Kelautan, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (193.607 KB) | DOI: 10.14710/ijfst.4.1.62-68

Abstract

Penelitian mengenai komposisi dan distribusi larva ikan di estuaria Pelawangan Timur, Segara Anakan, Cilacap telah dilakukan dua minggu sekali selama bulan Juli-Oktober 2003. Pengambilan sampel larva dilakukan di muara dan sungai Donan, Sapuregel, dan Kembangkuning dengan menggunakan Plankton net mesh size 0,2 mm yang ditarik perahu dengan kecepatan rata-rata 2 knot selama 10 menit. Selama penelitian larva yang tertangkap di Pelawangan Timur sebanyak 1688 individu terdiri dari 15 famili yang didominasi oleh Pomacentridae (29,84%), Atherinidae (28,66%), Gobiidae (20,31%), Clupeidae (11,19%), sedangkan untuk jenis larva lainnya hanya ditemukan dalam jumlah yang sedikit, yaitu kurang dari 2%. Famili Pomacentridae, Atherinidae, dan Gobiidae mempunyai distribusi yang sama yaitu tersebar merata di semua stasiun penelitian dengan jumlah individu terbanyak pada sungai Donan dan Sapuregel. Distribusi famili Clupeidae mempunyai jumlah individu terbesar pada Muara sungai Donan. Sebagian besar larva merupakan ikan laut yang melakukan ruaya ke perairan Pelawangan Timur. Sedangkan pola distribusi larva ikan mempunyai kecenderungan mengadakan migrasi ke daerah mangrove yang terdapat di sepanjang pinggiran sungai Donan dan Sapuregel. Kelimpahan larva terbanyak di daerah muara sungai Donan dan sungai Sapuregel.
ANALYSIS OF EX DISPOSAL AREA LAND USE FOR AGRICULTURE ACTIVITY AND MANGROVE ECOSYSTEM IN SEGARA ANAKAN REGENCY BASED ON GEOGRAPHY INFORMATION SYSTEM A?in, Churun; Subiyanto, Subiyanto; Hartoko, Agus
Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Vol 5, No 2 (2010): Jurnal Saintek Perikanan
Publisher : Fakultas Perikanan dan Ilmu Kelautan, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (179.027 KB) | DOI: 10.14710/ijfst.5.2.26-33

Abstract

The aim of research was  to study potential land location and width of EDA as agriculture activity and mangrove ecosystem, based on land suitability. The research methode was descriptive case study and sampling method used was purposive sampling, including 2 sampling periods (rainy and dry season). The location in this research was Ex Disposal Area (EDA), consist of Klaces, Panikel and Ujunggagak district were involved. Research variabel are soil quality (land quality), water quality and EDA?s environment parameters. Analysis data using GIS, proccess by ER Mapper 7,0 and ArcGIS 9,3 software. The concept of suitability level by scoring method combining values and weight variable. Result of esearch showed that potential land for fisheries activity (pond land)  are: moderately suitable class (S2) is 5,309.05 m2, include Panikel and Ujunggagak district; marginally suitable class (S3) is 77,325.77 m2, not suitable for present time class (N1) is 1,365,955.67 m2, and permanently unsuitable class (N2) is 7,583,809.51 m2. S3, N1,N2 class were found in Panikel, Klaces and Ujunggagak district. Potential land for agriculture activity (rice field)  are : moderately class (S2) is 2,051,725.30 m2; marginally suitable class (S3) is 54,083.03 m2, width of not suitable for present time class (N1) is 2,416,591.48 m2, and permanently unsuitable (N2) is 4,510,000.20 m2. Fourth classes of  potential land for agriculture activity (farming land) exist in Panikel, Klaces and Ujunggagak district. Potential land for mangrove ecosystem are : marginally suitable class (S3) is 401.64 m2, found in Ujunggagak district ; not suitable for present time class (N1) is 1,046.59 m2, include Panikel dan Ujunggagak district, and permanently unsuitable class (N2) is 9.030.951,77 m2. This class are found in Panikel, Klaces and Ujunggagak district. Key Words : Land Use,  EDA, GIS.
KONTROL SIRKULASI IKLIM DAN TEKTONIK TERHADAP ENDAPAN SEDIMEN SUNGAI PURBA BERUMUR PLISTOSEN DI DESA MULYASEJATI, KARAWANG DAN CILANGKAP, PURWAKARTA Moechtar, H.; Subiyanto, Subiyanto
Jurnal Geologi dan Sumberdaya Mineral Vol 21, No 2 (2011): Jurnal Sumber Daya Geologi
Publisher : Pusat Survei Geologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (289.034 KB)

Abstract

A study on the conglomeratic sandstone and siltstone unit (Qoa) in the Mulyasejati Village (Kabupaten Karawang) and Conglomeratic and tuffaceous sandstone unit (Qav) of Pleistocene age in the Cilangkap Village (Kabupaten Purwakarta) has been carried out. The objectives of this paper are to reconstruct the mechanism of Depositional Period Intervals (DPI) of each lithologic unit. Sedimentological and stratigraphical analyses were carried out in the field based on seven vertical measured section of 1:50 scales. The thickness of the sections range from 1.20 to 7.70 m. Based on the correlation, both of lithostratigraphic units belong to into fluvial systems, and can be divided into four DPI (A to D). The sedimentary facies pattern of each DPI is controlled by the thrust structure, and are shown by stacking channels (FAS) 1 to 4. Whereas, the vertical composition of sediment is controlled by the fluctuation humidity related to climate change following Milankovitch cycles. Changes in the colour and composition of the sediments of the fluvial systems during the depositional processes of DPI A-D, can be interpereted as the result of climate changes. The climate circulations starting from nearly climatic optimum to climatic minimum or even dry.Keywords: facies, fluvial, climate, Interval of Deposition Periods
THE LEVEL OF ASTHMA DIAGNOSING SYSTEM BY USING FUZZY INFERENCE SYSTEM Hanum, Kholida; Subiyanto, Subiyanto
Jurnal Ners Vol 10, No 1 (2015): April 2015
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1000.778 KB) | DOI: 10.20473/jn.V10I12015.80-86

Abstract

Introduction: This paper discuss about fuzzy inference system for the diagnosis of asthma?s levels. The process of diagnosis was made from symptoms that occur in patients with asthma. Input process, results, and methodology in making this system was done carefully, so this system is expected valid and fi t for medical diagnosis.Methods: Methodology in the system including the knowledge base, fuzzyfi er, and inference engine. The symptoms used in diagnostic systems, including shortness of breath, wheezing, level of alertness/unique symptoms, respiratory rate, speech rate, pulse per minutes, and PEF after bronchodilator. And the output of asthma?s level diagnosis was mild, moderate, severe, and RAI/respiratory failure. The performance of system has been tested in Cilacap Pertamina Hospital, 20 patients with asthma were involved.  Results: The results of system and doctor?s opinion who has been treating patients with asthma were compared. Result: The result showed that the system obtained 90%, according to the doctor?s diagnosis.Conclusion: This system is expected to help the medical expert or doctor in diagnosing the level of asthma. 
PROSPEK INDUSTRI PENGOLAHAN LIMBAH SABUT KELAPA Subiyanto, Subiyanto
Jurnal Teknologi Lingkungan Vol 1, No 1 (2000): JURNAL TEKNOLOGI LINGKUNGAN
Publisher : Center for Environmental Technology - Agency for Assessment and Application of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/jtl.v1i1.157

Abstract

This article discusses the prospect of coco fibre industry in Indonesia as an effort of increasing added value of coconut product. Supported by the abundance and less utilization of raw materials (coco fibre) throughout the country and increasing price and demand for coco fibre products, domestically as well as internationally, Indonesia has a potential chance for promoting coco fibre based industries. The simple industry that produces coir fibre and coir dust is recommended to be built by using selected technology. Various characteristics of supporting technologies and the financial feasibility of coco fibre based industry have been the concluding remark of the discussion in this article. The industry that use the MTM1 and Bandung type machines in its process is found financially feasible.
TIDAL EFFECT ON RECRUITMENT EAST LARVAE FISH IN EAST PELAWANGAN SEGARA ANAKAN CILACAP Subiyanto, Subiyanto; Widyorini, Niniek; Iswahyuni, Iswahyuni
Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Vol 5, No 1 (2009): Jurnal Saintek Perikanan
Publisher : Fakultas Perikanan dan Ilmu Kelautan, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (109.499 KB) | DOI: 10.14710/ijfst.5.1.44-48

Abstract

Observations on transport of fish larvae during low tide in the East Sea has been done Pelawangan interest from July to September 2003. Sampling is performed using Plankton nets 60 cm in diameter and 200 mesh size, as many as 5 times in the full month, either at the time of high tide or low tide. Net withdrawals are carried out for 10 minutes at 2 knots. During studies have arrested 904 individual which consist of 11 families, there are Clupeidae, Engraulididae, Belonidae, Hemiramphidae, Atherinidae, Mugillidae, Ambassidae, Apogonidae, Gerreidae, Pomacentridae, Gobiidae. Most fish larvae are caught fish larvae, adult stage in the sea. Observations show that the influence of tidal changes of fish larvae in the East Pelawangan. Where the tide arrested 472 people (52.21%) and at low tide arrested 432 people (47.79%).  Key words : Tidal, Recruitment, Fish larvae