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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Majalah Ilmiah Teknologi Elektro Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM KOMPUTER JURNAL SISTEM INFORMASI BISNIS TRANSIENT: Jurnal Ilmiah Teknik Elektro Jurnal Sistem Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Ilmiah Kursor Jurnal Teknologi Rekayasa Mesin Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Scientific Journal of Informatics Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika JURIKOM (Jurnal Riset Komputer) Journal of Information Systems and Informatics Jurnal Ilmu Teknik dan Komputer Infotek : Jurnal Informatika dan Teknologi Journal of Applied Data Sciences SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan) Jurnal Profesi Insinyur Indonesia Jurnal Teknologi Majalah Ilmiah Teknologi Elektro Siber International Journal of Advanced Law

R Rizal Isnanto

Departemen Teknik Sistem Komputer, Universitas Diponegoro Jl. Prof. Sudharto, SH, Kampus UNDIP Tembalang, Semarang 50275, Indonesia

Author-ID : 3325545

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Transportation

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Title

Support Vector Machine Untuk Klasifikasi Citra Jenis Daging Berdasarkan Tekstur Menggunakan Ekstraksi Ciri Gray Level Co-Occurrence Matrices (GLCM) Neneng, Neneng; Adi, Kusworo; Isnanto, Rizal
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Texture is one of the most important features for image analysis, which provides informations such as the composition of texture on the surface structure, changes of the intensity, or brightness. Gray level co-occurence matrix (GLCM) is a method that can be used for statistical texture analysis. GLCM has proven to be the most powerful texture descriptors used in image analysis. This study uses the four-way GLCM 0o, 45o, 90o, and 135o. Support vector machine (SVM) is a machine learning that can be used for image classification. SVM has a high generalization capability without any requirement of additional knowledge, even with the high dimension of the input space. The data used in this study are the image of goat meat, buffalo meat, horse meat, and beef with shooting distance 20 cm, 30 cm and 40 cm. The result of this study shows that the best recognition rate of 87.5% was taken at a distance of 20 cm with neighboring pixels distance d = 2 in the direction GLCM 135o.

Penerapan Metode Self-Organizing Map (SOM) Untuk Visualisasi Data Geospasial Pada Informasi Sebaran Data Pemilih Tetap (DPT) Anis, Yunus; Isnanto, R.Rizal
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Universitas Diponegoro

A Self-Organizing Map (SOM ) is a neural network method that has been introduced by Professor Teuvo Kohonen since 1980, as an artificial neural network topology without supervision (Unsupervised ANN), in which the learning process does not require supervision or target output. In this paper, the implementation methods of SOM is used to perform data clustering voters (DPT) in the General Election Governor level. The results of the clustering process then used to perform data classification air-geographical references (geo-referenced) that integrates visualization of the output space through a cartographic representation of the color settings, and explore the use of line width between the boundary-water element geographic reference, calculated according to the distance in the input space is best between locations. Clustering results is then used as the basis for determining the color criteria in the development of the Web-GIS application based on interval number of voters. Â Keywords : Self-organizing map; Unsupervised ANN; Clustering; Geo-referenced; Cartographics representation

Jaringan Syaraf Tiruan Perambatan Balik Untuk Pengenalan Wajah Saubari, Nahdi; Isnanto, Rizal; Adi, Kusworo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

This research discusses about face detection and face recognition in an image. Face detection has only two classifications, i.e face and not face. Face recognition is compatible with some classifications of a number individuals who want to be recognized. Face detection and face recognition in thi study using Haar-Like Feature method and Artificial Neural Network Backpropagation. A method Haar-Like Feature used for detection and extraction in an image, because the clasification on this method showed success at used to detect image of the face. Artificial Neural Network Backpropagation is a training algorithm that is used to do training simulated on facial image data training stored in a database. This study uses Ms. Excel 2007 as database with 10 individual sample image, every image in each individuals having three distance with every range has four defferent light intensities, so that the data training stored in the database reached 120 data training. The results shows that the face detection and face recognition which is developed can recognize a face image with an average accuracy rate reaches 80,8% for each distance.

Penerapan Metode AHP dan Fuzzy Topsis Untuk Sistem Pendukung Keputusan Promosi Jabatan Muhardono, Ari; Isnanto, Rizal
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

Resources of humans is one of the assets of the organization that became the backbone of an organization in carrying out its activities and influence on the performance and progress of the organization. Systematic performance assessment and selection of employees with the best performance for the determination of a promotion is very important in strategic human resource management. But in fact the decision objectively, efficiently and effectively perform the selection of human resources is not easy, we need a model of decision-making to help solve that problem. Application of AHP and Fuzzy TOPSIS in the selection of this promotion can be provide alternative recommendations for decision-makers, so that the employee selection process can take place effectively and efficiently and to produce objective decisions. Implementation results of the study for the selection of a promotion with six criteria assessment criteria weighting the results obtained using the AHP Performance Value of 0,3509, Education Level of 0,1605, Class of 0,1005, Work period of 0,0367, The Presence of 0,0637 and the value of the competence of 0.2877. The weighting of the results was continued process of ranking the alternatives by using fuzzy TOPSIS method obtained the best results and the selected preference is for 0.8373 Â Keywords: Performance evaluation; Promotion; AHP; Topsis; Fuzzy

Evaluasi Kinerja Organisasi Publik Dengan Menggunakan Pendekatan Balanced Scorecard dan Analytic Network Process Tunggul, Adi Mora; Isnanto, Rizal; Nurhayati, Oky Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

Balanced scorecard is a strategic business management method that links performance evaluation to vision and strategies using a multidimensional set of financial and nonfinancial performance metrics. This study examined both quantitative data for the proposed Analytic Network Process method. The purpose of this research is to build a model that combines the Balanced Scorecard approach and Analytical Network Process to assist in the performance evaluation of public organizations tax services. Balanced Scorecard concept is applied to determine the hierarchy of the financial perspective, customer perspective, internal business processes, and learning and growth perspective as well as their respective performance indicators of public organizations and then Analytical Network Process used to tolerate vagueness and ambiguity of information and built an information system that is applied to facilitate the performance evaluation process. The study provides recommendations to the management of public organizations regarding the tax service strategy to improve the performance of public organizations.

Pengenalan Wajah dengan Matriks Kookurensi Aras Keabuan dan Jaringan Syaraf Tiruan Probabilistik Adi Putraa, Toni Wijanarko; Adi, Kusworo; Isnanto, Rizal
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 2 (2013): Volume 3 Nomor 2 Tahun 2013
Publisher : Universitas Diponegoro

Sistem pengenalan wajah merupakan pengembangan metode dasar sistem autentifikasi dengan menggunakan karakteristik alami wajah manusia sebagai dasarnya. Proses pengenalan citra wajah ini melalui beberapa tahap yaitu tahap pelatihan dan tahap pengujian. Pada tahap pengujian dilakukan secara langsung dan tidak langsung. Secara tidak langsung data uji bersumber dari sekumpulan citra wajah yang sudah dipilih, sedangkan secara langsung citra wajah bersumber dari kamera. Pengenalan citra wajah manusia menggunakan penggabungan antara metode GLCM dan PNN. Tahap prapengolahan dengan merubah RGB ke dalam aras keabuan dengan metode centroid sebagai proses segmentasi citra wajah. Faktor pengenalan wajah yang diuji meliputi pencahayaan, jarak, sudut serta posisi. Pada GLCM menggunakan metode statistik dan analisis tekstur orde kedua karena merepresentasikan tekstur citra dalam parameter energi, korelasi, homogenitas dan kontras. Sedangkan PNN digunakan untuk pembentukan basisdata yang disimpan dalam jaringan untuk proses membandingkan hasil keluaran yang berupa data matrik hasil dari GLCM. Pada penelitian ini digunakan citra wajah sebagai basisdata dengan sampel sebanyak 10 orang dan 5 posisi wajah, 2 jarak pengambilan gambar citra wajah, serta 3 kategori pencahayaan. Proses pengujian menghasilkan tingkat pengenalan secara langsung sebesar 92%, sedangkan pengujian secara tidak langsung sebesar 93,33%. Â Kata kunci: GLCM; PNN; Centroid; Prapengolahan

Review of Systematic Literature about Sentiment Analysis Techniques Sasongko, Cornelius Damar; Isnanto, Rizal; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp227-236

Sentiment analysis, also known as opinion mining, is an important task in natural language processing and data mining. It involves extracting and analyzing subjective information from textual data to determine the sentiment or opinion expressed by the author. With the advancement of technology and the widespread use of social media and online review platforms, it is increasingly important to understand users' opinions and sentiments regarding a particular product, service or issue. The purpose of this research is to present a comprehensive literature review on sentiment analysis techniques. This research utilizes the systematic literature review method. This method involves systematic steps in searching, evaluating, and analyzing relevant literature in the field of sentiment analysis. The literature search was conducted through scientific databases and other reliable sources. Relevant articles were then selected based on pre-determined inclusion and exclusion criteria. The data from the selected articles were then comprehensively analyzed to identify the sentiment analysis techniques used and the key findings in the research. The results show that there are various techniques and approaches that have been developed and tested in sentiment analysis, some of the commonly used techniques include rule-based methods, classification-based methods, and machine learning-based methods.

Examining the Role of Personal Character in Indonesian Peer-to-Peer Lending Purwanto, Iwan; Isnanto, Rizal; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025 (Publication in Progress)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol15iss3pp297-307

This research examines Indonesian P2P lending and bad loan management by analyzing borrower characteristics. The large value of problematic loans is a key signal for this investigation. The Big Five Personality Approach is used to survey P2P lending users. This study solely examines if the Big Five personality traits affect evaluation. On March 5–18, 2023, 17 P2P lending sites gathered data from 197 respondents for two weeks. Data validation continued until 11 respondents were pruned. The remaining 186 respondents' data was evaluated using SPSS. The management process yielded two hypothesis tests, the T-test and the F-test, which showed that the Big Five personality significantly affects present assessment activities. F-Test findings show the Big Five Personalities have a big impact concurrently. These two factors suggest that the Big Five Personalities may evaluate decision support systems for borrower recommendations.

Co-Authors Abdul Syakur Achmad Chaerodin Achmad Hidayatno Achmad Hidayatno Ade Riyantika Dewi Adhi Susanto Adi Mora Tunggul Adi Wijaya Adian Fatchur Rochim Adrian Putranda Rispurwadi Agus Suprihanto Agustini, Eka Puji Ahmad Ramdhani Ajub Ajulian Zahra Macrina Alan Prasetyo Rantelino Albert Ginting An'im Almiktad Andhika Dewanta Andhika Hanifa Naufaliawan Andino Maseleno Anton Satria Prabuwono Ardianto Eskaprianda Ari Muhardono Arianto, Mufid Aris Puji Widodo Aris Sugiharto Aris Triwiyatno Astrid Aprillini Aulia Nastiti Aziz, RZ. Abdul Bhutra, Yuvraj Budi Warsito Catur Edi Widodo Chauhan, Rahul Damar Wicaksono Danang Respati Setyabudi Deddy Sucipta Syahril Dewi, Deshinta Arrova Dewi, Rany Puspita Dhody Kurniawan Dian Kurnia Widya Buana Dilan Arya Sujati Dimas Robby Firmanda Dini Indriyani Putri Donni Widagdo Dwi Novianto Eko Didik Widianto Eko Winarto Erizco Satya Wicaksono Ervin Adhi Cahyanugraha Fatima Setyani Ferry Dwi Setiyawan Firdaus Aditya GALIH WICAKSONO Gilang Aditya Pamungkas Handayani, Sri Hardiyanto Hardiyanto Hayu Andarwati Hefmi Fauzan Imron Hendy Cahya Lesmana Hilal Afrih Juhad Ike Pertiwi Windasari Imaduddin Amrullah Muslim Imam Tahyudin Irham Fa'idh Faiztyan Iwan Purwanto Jatmiko Endro Suseno Julianto, Dewa Rizki Rahmat Kataria, Yachi Kurniawan Teguh Martono Kurniawan, Tri Basuki Kusworo Adi Lia Lidya Roza Liga Filosa M Said Hasibuan Maizary, Ary Maman Somantri Martin Clinton Tosima Manullang Maulana Muhammad Iqbal Misik Puspajati Nurmadjid Saputri Mona Pradipta Hardiyanti Muh. Udka Muhamad Taopik Gibran Muhammad Fahmi Awaj Muhammad Kautsar Muhammad Nur Hadi Munawar Agus Riyadi Mustafa, Mustafa Mustafid Mustafid Nahdi Saubari Nanang Sulaksono, Nanang Nazwan, Nazwan Neneng Neneng Nur Setyo Permatasasi Putri W Nurhayati, Oki Dwi Nurul Arifa Oky Dwi Nurhayati Pertiwi, Rahayu Putri Prakasa, Fawwaz Bimo Pramuko Tri Prastowo Prima Widyaningrum PUJI LESTARI Qoriani Widayati Rachel Chrysilla Tijono Refika Khoirunnisa Reza Najib Hidayat Rinta Kridalukmana Rinta Kridalukmana Rivaldi MHS Riyana Putri, Fayza Nayla Rizaldi Habibie Rizaldy Khair Rizky Gelar Maliq Rosdelima Hutahaean Roza, Lia Lidya Rozak, Rofik Abdul Ruli Handrio Santoso, Imam Saptian, Fiega Adhi Sapto Nisworo Sasongko, Cornelius Damar Satya Arisena Hendrawan Setiawan, Annas Sri Lestari Sri Sumiyati Sri Widodo, Thomas Suhardjo Suhardjo Sumardi . Talitha Almira Taqwa Hariguna Teguh Dwi Prihartono Tikaningsih, Ades Toni Wijanarko Adi Putra Triloka, Joko Tyas Panorama Nan Cerah Ucky Pradestha Novettralita Ufan Alfianto Unaliya, Maitri Waluyo Nugroho Waluyo Wandri Okki Saputra Wibaselppa, Anggawidia Widi Puji Atmojo Widiasmoro, Andi Wijaya, Elang Pramudya Yatim, Ardiyansyah Saad Yeh, Ming-Lang Yenita Dwi Setiyawati Yessy Kurniasari Yongki Yonatan Marbun Yudi Eko Windarto Yunus Anis, Yunus

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