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All Journal Jurnal Teknologi Industri Pertanian ComEngApp : Computer Engineering and Applications Journal Perfecting a Video Game with Game Metrics JREC (Journal of Electrical and Electronics) Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Karya Pendidikan Matematika Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) JTAM (Jurnal Teori dan Aplikasi Matematika) Krea-TIF: Jurnal Teknik Informatika Jambura Journal of Mathematics Jurnal Matematika UNAND Jurnal Matematika Integratif

Sugi Guritman

Institut Pertanian Bogor

Author-ID : 271239

Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Transportation

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Klasifikasi Kematangan Buah Manggis Ekspor dan Lokal Berdasarkan Warna dan Tekstur Menggunakan Fuzzy Neural Network Whidhiasih, Retno Nugroho; Guritman, Sugi; Suprio, Prapto Tri
Jurnal Ilmu Komputer dan Agri-Informatika Vol 1, No 2 (2012)
Publisher : Departemen Ilmu Komputer IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.403 KB)

Fuzzy neural network (FNN) memiliki kemampuan untuk melakukan klasifikasi terhadap suatu pola yang berada di dalam dua kelas yang tidak dapat diklasifikasi menggunakan model klasifikasi klasik neural network (NN). Penelitian ini bertujuan mengembangkan model klasifikasi buah manggis segar secara non-destruktif dengan menggunakan FNN. FNN yang dipakai menggunakan derajat keanggotaan pada neuron output sebagai target pembelajaran. Parameter input yang digunakan adalah komponen warna hasil dari pengolahan citra yang mempunyai pengaruh terhadap tahap kematangan buah manggis dan tekstur. Hasil pemodelan FNN menjadi 2 kelas target klasifikasi (ekspor dan lokal) mendapatkan model terbaik dengan fitur penduga indeks warna merah, hijau, biru, value, a*, u*, v*, dan entropi dengan 5 neuron pada lapisan tersembunyi. Perbandingan persentase akurasi model FNN dan NN ialah 90:90, dengan perbandingan kemampuan pengenalan terhadap kelas ekspor dan lokal ialah 92:100 dan 89:75.Kata kunci: fuzzy neural network, klasifikasi, manggis, non-destructive grading, pengenalan pola

Teknik Penyembunyian Data Rahasia pada Berkas Gambar Digital Menggunakan Steganografi Least Significant Bit Variable-Size Neyman, Shelvie Nidya; Lindayati, Lindayati; Guritman, Sugi
Jurnal Ilmu Komputer dan Agri-Informatika Vol 1, No 1 (2012)
Publisher : Departemen Ilmu Komputer IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (174.412 KB)

Salah satu teknik pengamanan data dengan cara penyisipan informasi rahasia pada berkas gambar digital sebagai media penampung ialah steganografi berbasis least significant bit (LSB) dengan penambahan kemampuan penyisipan yang bersifat variable-size. Operasi teknik steganografi ini menggunakan tiga parameter, yaitu capacity evaluation untuk menentukan kapasitas maksimum LSB dari masing-masing pixel media penampung, minimum error replacement untuk memperkecil tingkat kesalahan saat penyisipan, dan improved grayscale compensation untuk memisahkan kesalahan penempelan agar tidak berdekatan pada tempat pixel bekerja. Penelitian ini bertujuan mengimplementasikan teknik tersebut untuk menyembunyikan data rahasia pada berkas gambar digital sebagai media penampung dan menghasilkan stego-image dengan kesamaan tampilan dan ukuran berkas. Berkas hasil penyisipan (stego-image) yang diperoleh diharapkan tidak menimbulkan kecurigaan pihak lawan, serta mampu memaksimumkan kapasitas penyisipan data rahasia, dengan memungkinkan penyisipan mencapai bit ke-5 dari LSB media penampung. Hasil penelitian menunjukkan bahwa stego-image yang diperoleh secara visual memiliki tampilan hampir sama dengan media penampungnya dan kapasitas penyisipannya mencapai lebih dari 50% ukuran media penampungnya. Kapasitas ini diperoleh tanpa mempertimbangkan border dan jumlah bit data pada setiap pixel minimal berjumlah empat.Kata kunci: capacity evaluation, improved grayscale compensation, least significant bit variabel-size, steganografi

PENGEMBANGAN SISTEM E-VOTING DENGAN PROTOKOL TWO CENTRAL FACILITIES MENGGUNAKAN FINGERPRINT SEBAGAI OTENTIKASI VOTER Sikki, Muhammad Ilyas; Guritman, Sugi; Rahmawan, Hendra
JREC (Journal of Electrical and Electronics) Vol 1, No 3 (2013): JREC (Jurnal Of Electrical and Electronics
Publisher : JREC (Journal of Electrical and Electronics)

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The e-voting system which developed using two central facilities protokol consist of three componentthat is voting machine as client for interaction with voter, central legitimization agency (CLA) asserver voter authentication, and central tabulating facility (CTF) as server for result recapitulationvoter vote count. Research in this thesis just focused to voter authentication process on votingmachine toward database of voter that stored in CLA with using fingerprint biometric technology.Fingerprint biometric technology used for voter registration process, voter verification process, andvoter authentication process who will doing election. Registration process for acquire voterfingerprint image database, verification process to be sure voter database can be verificated or not,and authentication process for voter authorization who can be permitted or not by system give of votein election.Key words : E-voting, voter, authentication, fingerprint

PENGEMBANGAN SISTEM E-VOTING DENGAN PROTOKOL TWO CENTRAL FACILITIES MENGGUNAKAN FINGERPRINT SEBAGAI OTENTIKASI VOTER Sikki, Muhammad Ilyas; Guritman, Sugi; Rahmawan, Hendra
JREC (Journal of Electrical and Electronics) Vol 1 No 3 (2013): JREC (Journal of Electrical and Electronics)
Publisher : Program Studi Teknik Elektro Fakultas Teknik Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (763.803 KB)

The e-voting system which developed using two central facilities protokol consist of three component that is voting machine as client for interaction with voter, central legitimization agency (CLA)  as server  voter authentication, and central tabulating facility (CTF) as server for result recapitulation voter vote count. Research in this thesis just focused to voter authentication process on voting machine toward database of voter that stored in CLA with using fingerprint biometric technology. Fingerprint biometric technology used for voter registration process, voter verification process, and voter authentication process who will doing election. Registration process for acquire voter fingerprint image database, verification process to be sure voter database can be verificated or not, and authentication process for voter authorization who can be permitted or not by system give of vote in election

Deteksi dan Identifikasi Pelaku Kecurangan Skema Pembagian Rahasia Linear Berbasis Skema Shamir Nur Ahzan, Zulkaidah; Guritman, Sugi; Silalahi, Bib Paruhum
Jurnal Karya Pendidikan Matematika Vol 7, No 1 (2020): Jurnal Karya Pendidikan Matematika Volume 7 Nomor 1 Tahun 2020
Publisher : Universitas Muhammadiyah Semarang

The method that can be used to maintain security of secret in the form of cryptographic keys is by using secret sharing scheme (SSS). This method is first proposed by Adi Shamir in 1979, where the proposed scheme is a (k, n) threshold scheme. Shamir scheme is a perfect scheme under the assumption that all shareholders present their original share. However, if there are dishonest shareholders who present faked shares then the honest shareholders get nothing but a faked secret. Secret sharing scheme based on linear scheme is a scheme that can detect and identify cheaters who submit faked shares at the secret reconstruction. Detectability of this scheme when and identifiability when under the assumption that all shareholders present their shares randomly. After conducting a security analysis of the proposed scheme, it is obtained that to succeed in attack with cheaters who work together to fool honest shareholders then a new polynomial g(x) such that g(1) = , g(2) = , …, g(k - 1) = and a new detector that has the same value as detector d are needed.

Paper-based Verification Design of Trade Business License in Indonesia Pizaini Pizaini; Sugi Guritman; Heru Sukoco
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 4: December 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i4.2915

The trade business license certificate (SIUP) is a paper-based license to conduct trade businesses in Indonesia issued by the government. Until today, there is no mechanism for verifying the validity of document unless to verify it manually. The current paper presents a design that allows paper-based verification of the printed trade business license. It aims to provide the verification mechanism and ensure the document validity. Our design implemented digital signature with QR Code image that placed into the document and the digital certificate issued by a certification authority (CA). The proposed scheme generated 442Bytes of data and version 14 of QR Code to scan easily by a reader device. The experimental result indicates that our scheme is easy and feasible to implement in Indonesia with guaranteed the document integrity, authentication, and nonrepudiation.

IDENTIFICATION OF MANGOSTEEN STAGE MATURITY ON COLOR BASED USING FUZZY NEURAL NETWORK Retno Nugroho Whidhiasih, Sugi Guritman dan Prapto Tri Supriyo TIP
Jurnal Teknologi Industri Pertanian Vol. 22 No. 2 (2012): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

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ABSTRACT Fuzzy Neural Network (FNN) has a capability to classify a pattern located within two different classes where a classical Neural Network (NN) is failed to do so. The fuzzy pattern classification is using membership degree on output of neuron as learning target. The objective of this research was to undertake non-destructive identification of fresh mangosteen stage maturity using Fuzzy Neural Network. Component of colour resulted in from image processing that influential against level of mangosteen’s maturity was used as input parameter. Percentage accuracy ratio of FNN model compare to NN for five, three, and two classification classes was 70:40, 86:65 and 90:90, respectively. The best result of FNN modeling was achieved on three class target classification (unripe, export and local) with green colour index, value, a* u*, v*, entropy, contrast, energy and homogeneity as predicting parameters and 15 neurons hidden layer. Comparisons of percentage capability of FNN against NN to identify the class were 100:0, 100:87, and 63:75. Keywords: classification, fuzzy neural network, mangosteen, non-destructive grading, pattern recognition

Teknik Penyembunyian Data Rahasia pada Berkas Gambar Digital Menggunakan Steganografi Least Significant Bit Variable-Size Shelvie Nidya Neyman; Lindayati Lindayati; Sugi Guritman
Jurnal Ilmu Komputer dan Agri-Informatika Vol 1 No 1 (2012)
Publisher : Departemen Ilmu Komputer, Institut Pertanian Bogor

Salah satu teknik pengamanan data dengan cara penyisipan informasi rahasia pada berkas gambar digital sebagai media penampung ialah steganografi berbasis least significant bit (LSB) dengan penambahan kemampuan penyisipan yang bersifat variable-size. Operasi teknik steganografi ini menggunakan tiga parameter, yaitu capacity evaluation untuk menentukan kapasitas maksimum LSB dari masing-masing pixel media penampung, minimum error replacement untuk memperkecil tingkat kesalahan saat penyisipan, dan improved grayscale compensation untuk memisahkan kesalahan penempelan agar tidak berdekatan pada tempat pixel bekerja. Penelitian ini bertujuan mengimplementasikan teknik tersebut untuk menyembunyikan data rahasia pada berkas gambar digital sebagai media penampung dan menghasilkan stego-image dengan kesamaan tampilan dan ukuran berkas. Berkas hasil penyisipan (stego-image) yang diperoleh diharapkan tidak menimbulkan kecurigaan pihak 'lawan', serta mampu memaksimumkan kapasitas penyisipan data rahasia, dengan memungkinkan penyisipan mencapai bit ke-5 dari LSB media penampung. Hasil penelitian menunjukkan bahwa stego-image yang diperoleh secara visual memiliki tampilan hampir sama dengan media penampungnya dan kapasitas penyisipannya mencapai lebih dari 50% ukuran media penampungnya. Kapasitas ini diperoleh tanpa mempertimbangkan border dan jumlah bit data pada setiap pixel minimal berjumlah empat. Kata kunci: capacity evaluation, improved grayscale compensation, least significant bit variabel-size, steganografi

Klasifikasi Kematangan Buah Manggis Ekspor dan Lokal Berdasarkan Warna dan Tekstur Menggunakan Fuzzy Neural Network Retno Nugroho Whidhiasih; Sugi Guritman; Prapto Tri Suprio
Jurnal Ilmu Komputer dan Agri-Informatika Vol 1 No 2 (2012)
Publisher : Departemen Ilmu Komputer, Institut Pertanian Bogor

Fuzzy neural network (FNN) memiliki kemampuan untuk melakukan klasifikasi terhadap suatu pola yang berada di dalam dua kelas yang tidak dapat diklasifikasi menggunakan model klasifikasi klasik neural network (NN). Penelitian ini bertujuan mengembangkan model klasifikasi buah manggis segar secara non-destruktif dengan menggunakan FNN. FNN yang dipakai menggunakan derajat keanggotaan pada neuron output sebagai target pembelajaran. Parameter input yang digunakan adalah komponen warna hasil dari pengolahan citra yang mempunyai pengaruh terhadap tahap kematangan buah manggis dan tekstur. Hasil pemodelan FNN menjadi 2 kelas target klasifikasi (ekspor dan lokal) mendapatkan model terbaik dengan fitur penduga indeks warna merah, hijau, biru, value, a*, u*, v*, dan entropi dengan 5 neuron pada lapisan tersembunyi. Perbandingan persentase akurasi model FNN dan NN ialah 90:90, dengan perbandingan kemampuan pengenalan terhadap kelas ekspor dan lokal ialah 92:100 dan 89:75. Kata kunci: fuzzy neural network, klasifikasi, manggis, non-destructive grading, pengenalan pola

Optimization Distance Learning Computer of Network Imam Sutanto; Sri Wahjuni; Jarot Prianggono; Sugi Guritman
Computer Engineering and Applications Journal Vol 8 No 1 (2019)
Publisher : Universitas Sriwijaya

Implementation Distance Learning (DL) lecture at High School of Police Science namely Sekolah Tinggi Ilmu Kepolisian (STIK-PTIK) consisted of 32 Polisi Daerah (POLDA) in lecture Distance Learning (DL) throughout Indonesia. System bandwidth management using the method of simple queue, the simple queue is lacking both in bandwidth allocation. Optimization against computer networks in improving Quality of Service (QoS) using the method Per Connection Queue (PCQ) Queue Tree with four classes to model. Scale model of a priority bandwidth specifically as a model of optimization of computer networks with an average percentage of delay of 6.01%, packet loss decreased 0.26%, jitter of 13.56% and increased throughput became of 9.5%. The research is supported by the level of satisfaction by CSI towards PJJ / DL students, the methods of customer satisfaction index with the service quality (Servqual) questionnaire as against with levels of satisfaction the use of DL student participants with the result satisfaction levels of 74%. Keywords: hierarchical token bucket, per connection queue, queue tree, QoS parameters.

Co-Authors Ahmadi . Bib Paruhum Silalahi Endang Purnama Giri Fitrah Satrya Fajar Kusumah Hendra Rahmawan Hendra Rahmawan Heru Sukoco Imam Sutanto Jarot Prianggono Khoerul Fatihin Lindayati Lindayati Lindayati Lindayati Muhammad Ilyas Sikki Muhammad Ilyas Sikki Muhammad Ilyas Sikki Nur Ahzan, Zulkaidah Nur Aliatiningtyas Nur Aliatiningtyas Pizaini Pizaini Prapto Tri Suprio Prapto Tri Suprio Prapto Tri Supriyo Rafika Husnia Munfa'ati Retno Nugroho Whidhiasih Retno Nugroho Whidhiasih Shelvie Nidya Neyman Siswandi Siswandi T Murdani Saputra TEDUH WULANDARI Wahjuni, Sri

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