Article Per Year (5 Year)
p-Index From 2019 - 2024
4.691
P-Index
This Author published in this journals
All Journal Media Kesehatan Masyarakat Indonesia BERKALA FISIKA MATEMATIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS YOUNGSTER PHYSICS JOURNAL Jurnal Sistem Komputer Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Manajemen Kesehatan Indonesia Jurnal Teknologi dan Sistem Komputer Informatika Mulawarman Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Syntax Literate : Jurnal Ilmiah Indonesia Jurnal Teknoinfo Journal of Physics and Its Applications Unnes Journal of Public Health Jurnal Komunika : Jurnal Komunikasi, Media dan Informatika JARES (Journal of Academic Research and Sciences) Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknik Elektro dan Komputasi (ELKOM) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Aisyah : Jurnal Ilmu Kesehatan Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Makara Journal of Technology
Kusworo Adi
Jurusan Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro Jl. Prof. Soedharto, SH., Tembalang, Semarang, Jawa Tengah
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

Published : 86 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 86 Documents
Search

 1   2   3   4   5 
Sistem Pemilihan Perumahan dengan Metode Kombinasi Fuzzy C-Means Clustering dan Simple Additive Weighting Jaya, Tri Sandhika; Adi, Kusworo; Noranita, Beta
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 3 (2011): Volume 1 Nomor 3 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.072 KB) | DOI: 10.21456/vol1iss3pp153-158

Abstract

Housing is one of human secondary needs. In selecting the most appropriate housing, there are lots of aspects to be considered to satisfy the costumers  want. In order to get optimal result, a system is needed to help the costumers to decide which housing fit them   most. System that will be built in this thesis is a system that supports costumers’ satisfaction in housing selection. There are 2 main stages in the  system,  namely  data  grouping  and  ranking.  Data  grouping  method  used  is  Fuzzy  C -Means  Clustering  (FCM).  Simple  Additive Weighting (SAW) is used for ranking purpose. Testing is carried out by comparing  interview result with system counting result. The testing result produces 9 cases that derive similar recommendation.Keywords : Housing selection; FCM; SAW; Recommendation; Grouping
Penilaian Kinerja Pegawai Lingkungan Perguruan Tinggi dengan Metode Topsis Setyadi, Ary; Adi, Kusworo; Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.616 KB) | DOI: 10.21456/vol2iss3pp139-145

Abstract

Employee performance measurement is very important for evaluation and future planning. Most of the government and private agencies are still using Daftar Penilaian Pelaksanaan Pekerjaan (DP3) to assess the performance their employees. DP3 goal is to obtain an objective consideration to employee development and career system based on job performance, formally it used to be a principal consideration material of periodic salary increases and promotions. In this research made ​​a Decision Support System (DSS) for employee performance appraisal DP3 at the college by using TOPSIS method. In this DSS ​​of which there are eight criteria in the DP3, everything is broken down into several sub criteria to get more objective assessment. Initial input of the TOPSIS method is obtained through a calculation using the AHP to find the eigen value of each criterion and the intensity. System created to describe the process of AHP and TOPSIS at each step in a matrix  that can be studied and evaluated the truth of each step in the method used. In testing, this system  is quite effective in the calculation that uses looping and selection. Keywords: TOPSIS, employee performance evaluation, DP3
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.153 KB) | DOI: 10.21456/vol6iss1pp30-37

Abstract

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.
Sistem Informasi Penyebaran Penyakit Demam Berdarah Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation Supriyadi, Didi; Adi, Kusworo; Sarwoko, Eko Adi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 3 (2011): Volume 1 Nomor 3 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (525.341 KB) | DOI: 10.21456/vol1iss3pp159-167

Abstract

Dengue  disease  is  a  major  health  problem  and  endemic  in  several  countries  including  Indonesia.  Indonesia  is  included  in  the  category  "A"  in  the stratification of DHF by WHO in 2001 which indicates the high rate of treatment in hospital and deaths from dengue. The purpose of this study was to investigate the ability of artificial neural networks Backpropagation method for information of the spread of dengue fever in   a region. In this study uses six input variables which are environmental factors that influence the spread of dengue fever, include average temperature  -  average, rainfall, number of rainy days, the population density, sea surface height, and the percentage of larvae-free number for  which data is sourced from BMKG, BPS and the Public Health Service. Network architecture applied to a multilayer network that uses an input with 6 neurons, one hidden lay er and an output with the output neuron is one. From the results obtained by training  the best network architecture is the number one hidden layer with the number of neurons obtained a total of 110 neurons and also the system can recognize the entire training data. The best training algorithm using  a variable learning rate and momentum of 0.9 by 0.6 by the end of the training MSE 0.000999879. in the process of testing using test data obtained 17 tissue levels of  approximately 88.23% accuracy. Therefore we can conclude that the network is implemented in this study when subjected to the test  data other then the error rate of about 11.77%.Keywords : Artificial Neural Networks; Backpropagation; Dengue fever
Metode Adaptive Neuro Fuzzy Inference System (ANFIS) untuk Prediksi Tingkat Layanan Jalan Azizah, Noor; Adi, Kusworo; Widodo, Achmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 3 (2013): Volume 3 Nomor 3 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.006 KB) | DOI: 10.21456/vol3iss3pp

Abstract

Tingkat pelayanan pada suatu jalan menunjukkan ukuran kualitas suatu jalan dan digunakan sebagai ukuran untuk membatasi volume lalu lintas suatu jalan. Tingkat pelayanan jalan yang kurang berdampak pada kemacetan arus lalu lintas dan saat ini merupakan permasalahan yang serius, terlebih di kota metropolitan. Maka perlu dikembangkan sebuah prediksi tingkat layanan jalan dengan menggunakan metode ANFIS (Adaptive Neuro Fuzzy Inference System). Penelitian ini bertujuan untuk membantu dalam proses pengambilan keputusan dan mencari alternatif solusi untuk mengatasi permasalahan kemacetan arus lalu lintas yang terjadi. Pada penelitian ini, metode ANFIS digunakan untuk membangun sebuah prediksi tingkat layanan jalan. Parameter masukan pada proses pembelajaran ANFIS juga sangat mempengaruhi untuk proses prediksi yang akan dilakukan. Adapun parameter inputnya adalah jumlah membership function sebanyak  2, tipe membership function gaussian, error goal 1x10-5, dan nilai epoch 100. Hasil penelitian menunjukkan bahwa metode yang diusulkan dapat digunakan untuk membangun sebuah prediksi tingkat layanan jalan dengan nilai RMSE dan MAPE terbaik yang diperoleh masing-masing adalah  0,0106209 dan 0,93158%.       Kata kunci: ANFIS, Prediksi, Tingkat Layanan Jalan.
Penerapan Metode Hill Climbing Pada Sistem Informasi Geografis Untuk Mencari Lintasan Terpendek Dangkua, Eka Vickraien; Gunawan, Vincencius; Adi, Kusworo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (644.107 KB) | DOI: 10.21456/vol5iss1pp19-25

Abstract

Heuristic search methods is one of the methods commonly in use in finding the shortest path, one of which, namely the methods Hill Climbing process where testing is done using heuristic functions. Problems generally encountered is the shortest path search to solve the problem of distance can be changed into a graph structure, where the point of declaring the city and the State line that connects the two cities. From the logic so that it can locate destinations and save on travel costs. The hallmarks of this algorithm are all possible solutions will have then checked one by one from the left side, so it will be obtained solutions with optimal results. On a Hill Climbing method according to case using geographic information systems as a tool in making a decision, by way of collect, examine, and analyze information related to digital map. with a combination of Hill Climbing method and geographic information systems can result in an application that is certainly feasible for use in the search path problems.   Keywords: Hill Climbin method; digital map; Geographic Information Systems
Sistem Pemungutan Suara Elektronik Menggunakan Model Poll Site E-Voting Haryati, Haryati; Adi, Kusworo; Suryono, Suryono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3511.509 KB) | DOI: 10.21456/vol4iss1pp67-74

Abstract

General elections is a regular agenda for a democtaric state, the applied paper based voting has several drawbacks, including spoiled ballots, inaccuracy in the counting of votes and reporting of election results which tends to be slow. Therefore , it needs to develop an electronic voting system that is user friendly for Indonesian people, which will reduce confusion from the previous system changes. Electronic voting aims at increasing participation, accuracy and efficiency of election results. Electrinoc voting has its own challenges to the implementation in Indonesia, ranging from the lack of legal protection, the heterogeneous level of education, culture, soceity and the digital gaps. The model developed in this thesis is the poll site e-voting, based on the rules of General Elections Commision (KPU) as the organizer of the elections. In this model, people still go to the pools, using the ID number od ID card as a verification tool and voting at the voting booths provided. The system automatically stores the results in a database option, and after the spesified time will show both the results of the voting and other and other information required by the Commission. Voting system with a model of e-voting poll site is expected to have a good chance an a low level of risk to be applied in Indonesia.   Keywords : E-voting; Poll site; Rule based; Risk.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (801.722 KB) | DOI: 10.21456/vol3iss2pp82-94

Abstract

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%.   Kata kunci: GLCM; PNN; Centroid; Prapengolahan
APLIKASI DIAGNOSA GEJALA DEMAM PADA BALITA MENGGUNAKAN METODE CERTAINTY FACTOR (CF) DAN JARINGAN SYARAF TIRUAN (JST) Maharani, Septya; Adi, Kusworo; Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 1 (2013): Volume 3 Nomor 1 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1163.989 KB) | DOI: 10.21456/vol3iss1pp25-29

Abstract

Symptoms of fever of toddlers have a devastating effect if too late to get treatment is not appropriate, to make it easier for parents to detect the type of disease, it is necessary to build an expert system application detection of disease symptoms of fever in children for early detection of disease. Knowledge base is implemented as a basis for expert system applications by using a combination of certainty factors (certainty factor) and ANN (artificial neural networks). Methods This study is a combination of CF as CF is the rule and the results will form a pattern which is a merger of the ANN clinical parameter that indicates the amount of trust as the knowledge base of disease diagnosis of fever in children 10 to 40 symptoms, the system uses a total of 40 symptoms as a medic training data with records of 20 patients. From the results of such testing, the application has been concluded at 86.67% accuracy rate.   Keywords: fever, expert systems, Certainty Factor, Neural Networks
RANCANG BANGUN SISTEM PENGAMBILAN CITRA DAN PENGATUR POSISI JARAK OBYEK PADA MIKROSKOP DIGITAL MENGGUNAKAN JARINGAN WiFi SMARTPHONE ANDROID BERBASIS RASPBERRY Pi 3 DAN MIKROKONTROLER ESP32 Putranto, Ari Bawono; Baital, Muhammad Sawal; Muhlisin, Zaenul; Adi, Kusworo
BERKALA FISIKA Vol 23, No 4 (2020): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In  this  study,  the  ESP32  microcontroller  and  the  Raspberry  Pi  have  been  successfully combined  to  adjust  the  position  of  the  digital  microscope  object  and  take  images  using  an android smartphone-based application via a WiFi network. The working method of adjusting the position of the microscope object is done by using the number of steps on a unipolar stepper motor  starting  from  the  farthest  distance  to  the  digital  microscope  objective  lens  which  is regulated by the ESP 32 microcontroller. Meanwhile, viewing the microscope object directly can  be  done  via  a  mobile  screen  connected  to  a  WiFi  network  to  a  digital  microscope  USB camera that has been converted into an IP camera by the Raspberry Pi. Therefore, through the use of a digital microscope application with an Android smartphone, it will be easier to obtain a sample image of a digital microscope object when conducting experiments in the laboratory.Keywords: Digital Microscope, Android Smartphone, WiFi, Rsabperry Pi, Microcontroller ESP 32
Co-Authors - Magister Sistem Informasi Universitas Diponegoro, Vincencius Gunawan S.K Abdillah Noor Fajrin Achmad Widodo Adi Pamungkas Adian Fatchur Rohim Adila Safitri Agus Atabik Anwar Agvion Virsaw Andrian Bayu Suksmono Andriyan B. Suksmono Andriyan Suksmono Andriyan Suksmono, Andriyan Antono Suryo Putro Apoina Kartini Aprilia Ayu Andarinny Ari Bawono Putranto Aris P Widodo Aris Puji Widodo Aris Puji Widodo Aris Sugiharto Ary Setyadi Atik Zilziana Muflihati Noor Baital, Muhammad Sawal Basuki Wibowo Beta Noranita Cahya Tri Purnami Carissa Devina Usman Catur Adi Widodo Catur Edi Widodo Chakim Annubaha Choirul Anam Choirul Anam AM Diponegoro Dedi Apriyandi Dedi Sepriana Didi Supriyadi Dwi Ely Kurniawan Dyah Apriliani Eka Vickraien Dangkua Eko Adi Sarwoko Eko Sediono Elvira Situmorang Evi Setiawati Faikhin . Faisal Rahman Farid Farid Agushybana Fatkhurrazi Basyid Figur Humani Fila Delfia Fila Delfia Frida Fallo Hadyan Arifianto Haryati Haryati Hastuti, Dyah Dewi Havez Vazirani Al Kautsar Hendra Gunawan Hendra Gunawan Hernowo Danusaputro Imam Syafii Ircham Ali Isnain Gunadi Isnain Gunadi Jatmiko Endor Suseno Kiki Puspita Sari Krisan Aprian Widagdo Laila Rahmawati Linda Nuryanti Mailia Putri Utami Mailia Putri Utami Mengko, Tati L.R. Muhammad Ikhsan Muhammad Rivani Ibrahim Nabilatul Fanny Nahdi Saubari NATALIA KRISTIANI Natalia Kristiani Nava Muzdalifah Nelly Mirnasari Neneng Neneng Nina Dwi Astuti Noor Azizah Nugroho Adhi Santoso Nur Hamid Nurul Firdausi Nuzula, Nurul Firdausi Nurul Huda Prasetyo Oky Dwi Nurhayati Purwanto Purwanto Putri Nuriskianti R Rizal Isnanto Rachmat Gernowo Rachmatullah, Robby Rahmat Gernowo Rahmat Gernowo Ria Amitasari Rima Ayuning Ratri Riris Trima Derita Sari Rizky Ayomi Syifa Rr. Tony Yulianto Saiful Widianto Salsabila Naqiyah Septya Maharani, Septya Setyowati Setyowati Shahmirul Hafizullah Imanuddin Sifaunajah, Agus Siti A'isyah Siti Nur Endahyani Sri Bintang Pamungkas Suandari P.V.L Suryono Suryono Suseno, Jatmiko Endor Sutopo Patria Jati Tati Mengko Tati Mengko, Tati Tito Rano Pradibto Toni Wijanarko Adi Putra Tri Mulyono Tri Sandhika Jaya Tutur Urip Undari Nurkalis Vincencius Gunawan, Vincencius Vincensius Gunawan S.K. Wahyu Setia Budi Wahyudi Setiawan Waliyansyah, Rahmat Robi Weirna Yusanti Willy Bima Alfajri Yulaikha Maratullatifah Yuliani Setyaningsih Zaenal Arifin Zaenul Muhlisin Zainal Bachrudin