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Teguh Susyanto
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Jurnal Ilmiah Sinus
Published by STMIK Sinar Nusantara Surakarta
ISSN : 16931173     EISSN : 25484028     DOI : http://dx.doi.org/10.30646/sinus
Core Subject : Science,
Computer Science & IT
Jurnal Ilmiah SINUS is a magazine published twice a year, wherein one issue there are seven articles. Jurnal Ilmiah SINUS as a communication medium to report the results of field research, library research, observations or opinions on problems arising related to the development of information technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "Vol 21, No 1 (2023): Vol. 21 No. 1 Januari 2023" : 7 Documents clear
Rancang Bangun Mobile Secure Chat dengan Mengimplementasikan Metodologi SSDLC-Agile dan Kriptografi Hermawan Setiawan; Akhmad Rizal
Jurnal Ilmiah SINUS Vol 21, No 1 (2023): Vol. 21 No. 1 Januari 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i1.660

Abstract

Along with the times, the exchange of information is becoming faster. People now use chat applications as a form of communication. With this application, users can easily exchange messages, whether in the form of text, images, audio, or video, without being limited by differences in distance and time. The information circulating varies, ranging from unclassified, private, to maybe confidential. Therefore, an encryption-decryption mechanism is needed so that users can exchange information safely through the mobile chat application. This study aims to implement the Rabin cryptosystem, symmetric encryption, and the use of session keys in a secure chat infrastructure for mobile applications. The test results showed that the combination of cryptographic applications and the Secure SDLC can increase security in application development, in this case for mobile secure chat.
Implementasi Metode Analitycal Hierarchy Process (AHP) pada Sistem Pendukung Keputusan dalam Aspek Penilaian Kedisiplinan Dosen Teguh Sri Pamungkas; Andriani Kusumaningrum
Jurnal Ilmiah SINUS Vol 21, No 1 (2023): Vol. 21 No. 1 Januari 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i1.673

Abstract

Lecturer performance assessment is a systematic evaluation of a lecturer's work to determine each lecturer's abilities so that each lecturer can plan future career advancement for each lecturer involved. In addition, the assessment of lecturer performance is able to provide value, evaluate abilities and skills, and improve the work of a lecturer. A system has been developed for implementation of decision support systems. The purpose of this study is to help complete data processing in assessing lecturer performance so that it can help a leader choose the discipline of each lecturer. Data assessment criteria on aspects of lecturer discipline include responsibility, discipline, accuracy, expertise, attendance, personality, and communication. The method used for the lecturer assessment process is AHP (Analytic Hierarchial Process) method. Based on the results of accuracy testing on aspects of lecturer discipline with the confusion matrix testing method, the results of the Analytical Hierarchy Process (AHP) method obtained excellent accuracy values. Using the Analytical Hierarchy Process (AHP) method, an accuracy result of 80% was obtained.
Implementasi Naïve Bayes Dalam Pemilihan Jenis Bahan Pembuatan Meja Amin Joko Susilo; kustanto kustanto kustanto; Dwi Remawati
Jurnal Ilmiah SINUS Vol 21, No 1 (2023): Vol. 21 No. 1 Januari 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i1.674

Abstract

Wood is a very decisive main element in the furniture industry or other wood crafts. Furniture was originally an industry of furniture crafts and wood carvings, so that the furniture products produced highlighted the effect of art. To determine whether a wood is suitable or not as a furniture material, systematic and accurate calculations are needed in order to obtain the right decision making. From this problem the researcher implemented the Naïve Bayes method to classify the quality level of wood based on the probability of wood. This makes it easier for table manufacturers to choose wood based on the texture of the wood. The purpose of this study is to implement the Naïve Bayes method to classify the quality level of wood based on the probability of wood. The criteria used in this study include: wood texture, wood quality, wood age, wood diameter. The results of this study are in the form of a recommendation that the type of material was teak wood, the age of the wood was still young, the quality of the wood was good, the diameter of the wood was sufficient and the texture of the wood was smooth, the quality of the wood was suitable for use for raw materials for making tables
Rancang Bangun Sistem Pakar Diagnosa Penyakit Tanaman Pisang Canvendish Dengan Metode Forward Chaining Kevin Kurniawansyah; Noneng Marthiawati. H; Reni Aryani
Jurnal Ilmiah SINUS Vol 21, No 1 (2023): Vol. 21 No. 1 Januari 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i1.679

Abstract

Bananas are part of the horticultural commodity group of fruits which are widely consumed because of their delicious taste and high nutritional content. One of the problems that exist when cultivating canvendish banana plants is the existence of disease disorders that occur in these plants. To prevent this from happening, knowledge about the diseases experienced by these plants is based on the symptoms experienced. Sources of knowledge about the disease and its symptoms can be obtained from an expert. However, the difficulty of consulting with experts in the field of canvendish bananas can be overcome with the help of an expert system to diagnose diseases of canvendish bananas using the Forward Chaining method. The purpose of this research is to help banana farmers or ordinary people to be able to carry out prevention and treatment when bananas are attacked by diseases or pests and overcome existing problems regarding canvendish bananas.
SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN PKH (PROGRAM KELUARGA HARAPAN) DENGAN METODE PERBANDINGAN EKSPONENSIAL Frandy Putra Gusti A.P; Elistya Rimawati; Sri Tomo
Jurnal Ilmiah SINUS Vol 21, No 1 (2023): Vol. 21 No. 1 Januari 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i1.681

Abstract

The Pelem Village Head Office has several government aids that will be distributed to its citizens. One of the acceptances of “Program Keluarga Harapan” (PKH) in 2019 has several criteria such as the elderly, people with disabilities, pregnant women and dependent children. However, officers have difficulty in processing the data. The purpose of this thesis is to create a decision support system for the selection of beneficiaries of “Program Keluarga Harapan” (PKH) assistance in Pelem Village using the Exponential Comparison Method (MPE). The results of this study are in the form of a decision support system program that has been tested through functional testing of the system using the blackbox testing method. The results of the testing process with the User Acceptance Test (UAT) of the respondents agreed (70%) that the overall decision support system for the recipients of RTLH assistance could assist officers as needed.
Deteksi Wajah Bermasker Menggunakan Deep Neural Network dan Tensorflow Rian Dwi Yulian Prakoso; Sriyati Sriyati; Nabil Makarim; Farrel Witamajaya
Jurnal Ilmiah SINUS Vol 21, No 1 (2023): Vol. 21 No. 1 Januari 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i1.629

Abstract

The use of face masks is an important part of life in the midst of the Covid-19 pandemic which has been designated as a global pandemic, people are urged to cover their faces when in public areas to avoid the spread of the virus. The use of these face masks has raised serious questions regarding face detection systems. This study used Deep Neural Network and Tensorflow methods to detect faces both using masks and without masks. This study used two datasets, a face collection dataset without a mask and a face group using a mask. The result of this study was the detection of faces with masks trained on the dataset achieved 98% accuracy in training, and for testing got 100% accuracy on faces without masks, and 99.99% accuracy for face with mask. 
Analisis Perbandingan Hasil Pengolahan Citra Asli Dan Cropping Untuk Mengidentifikasi Karakteristik Tanaman Selada Menggunakan Metode Morfologi Dan Ekstrasi Ciri akhmad fadjeri; Lisna Kurniatin; Dicki Kusuma Adri Ariyanto; Bayu Aji Saputra
Jurnal Ilmiah SINUS Vol 21, No 1 (2023): Vol. 21 No. 1 Januari 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i1.664

Abstract

Penelitian ini bertujuan untuk mengetahui hasil perbandingan  tanaman selada menggunakan metode morfologi dan ekstrasi ciri dari proses kroping pada citra dan citra asli. Teknik kroping merupakan teknik memperkecil ukuran citra. Sedangkan citra asli merupakan citra hasil dari tangkapan alat citra digital. Pada pengolahan citra digital terdapat teknik atau metode morfologi pada citra. Sebelum tahap morfologi, citra akan di proses menggunakan 2 metode yaitu metode kroping pada citra dan citra asi atau tanpa kroping. Setelah proses kroping atau tanpa kroping citra di olah menjadi citra abu-abu (grayscale), selanjutnya citra akan di proses menggunakan deteksi tepi untuk memperoleh hasil bagian tepi pada citra. Kemudian citra diubah menjadi bentuk biner (0 dan 1) atau sering disebut citra biner. Setelah pengolahan citra digital selesai kemudian tahap morfologi, dimana terdapat proses dilasi dan erosi. Proses ini bertujuan untuk mempertebal dan menipiskan hasil citra atau untuk meningkatkan hasil pendeteksian pada citra atau objek. Tahap selanjutnya yaitu proses ekstrasi ciri, dimana proses ini bertujuan untuk memperoleh nilai matematis pada sebuah citra.Proses ekstrasi ciri pada citra dilakukan sebanyak dua kali yaitu ekstrasi ciri citra asli dan ekstrasi ciri citra kroping. Dari hasil ekstrasi dapat diperoleh nilai matematis citra dengan ketentuan luas, keliling, kebundaran, kerampingan, panjang dan lebar. Proses ekstrasi ciri yang pertama atau citra asli didapatkan nilai matematis dengan rentang atau rata-rata luas 51.667.147.953.650.600, keliling 58.594.529.654.404.700, kebundaran 1.000.149.515.265.920, kerampingan 30.741.557.873.547.900, panjang 3.496.560.371.093.740 dan lebar 8.489.952.148.437.490. Sedangkan  proses  ekstrasi ciri kroping pada citra didapat nilai matematis citra dengan rentang atau rata-rata luas 83.364.228.960.567.300, keliling 26.081.033.779.659.700, kebundara 10.002.171.123.342.300, kerampingan 41.652.085.165.818.800, panjang 27.072.842.968.749.900 dan lebar 7.598.551.957.031.240.

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