Article Per Year (5 Year)
p-Index From 2021 - 2026
8.568
P-Index
This Author published in this journals
All Journal Jurnal Teknoin International Journal of Science and Engineering (IJSE) Rotasi JURNAL SISTEM INFORMASI BISNIS Competitor : Jurnal Pendidikan Kepelatihan Olahraga JURNAL TEKNIK MESIN Jurnal Kesehatan Olahraga TELKOMNIKA (Telecommunication Computing Electronics and Control) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Majalah Ilmiah MOMENTUM Proceeding of the Electrical Engineering Computer Science and Informatics JSSF : Journal of Sport Science and Fitness JIPES - JOURNAL OF INDONESIAN PHYSICAL EDUCATION AND SPORT JURNAL PENDIDIKAN TAMBUSAI Jurnal SPORTIF : Jurnal Penelitian Pembelajaran Jambura Journal of Sports Coaching Jambura Health and Sport Journal Jurnal Ilmiah Mandala Education (JIME) Bravo's : Jurnal Program Studi Pendidikan Jasmani dan Kesehatan Jurnal Speed (Sport, Physical Education, Empowerment) Journal of SPORT (Sport, Physical Education, Organization, Recreation, and Training) Jurnal PORKES Indonesian Journal of Electrical Engineering and Computer Science JSES : Journal of Sport and Exercise Science International Journal of Sustainable Transportation Technology Jurnal Kepelatihan Olahraga PROFICIO: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Olahraga Masyarakat Jurnal Pengabdian kepada Masyarakat Bina Darma Jurnal Material Teknologi Proses: Warta Kemajuan Bidang Material Teknik Teknologi Proses Eksergi: Jurnal Teknik Energi Bajra : Jurnal Keolahragaan Prosiding Simposium Nasional Rekayasa Aplikasi Perancangan dan Industri JSH: Journal of Sport and Health Physical Education and Sports: Studies and Research Indonesian Journal of Kinanthropology (IJOK) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) STATISTIKA EduInovasi: Journal of Basic Educational Studies Jurnal Pengabdian Kepada Masyarakat ACTIVE: Journal of Physical Education, Sport, Health and Recreation Physical Education and Sports: Studies and Research Laksana Olahraga JESS Jurnal Pendidikan Jasmani, Olahraga dan Kesehatan (Jp.jok)
Achmad Widodo
Department Of Mechanical Engineering, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 132 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search
Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Sistem Pendukung Keputusan Untuk Mengevaluasi Internal Program Studi Padiku, Indhitya Rahman; Widodo, Achmad
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 (641.36 KB) | DOI: 10.21456/vol5iss1pp40-46

Abstract

The development of major and study program cannot be separated by some internal factors weather directly influenced number of new registration students or indirectly. It needs a method to both know and to analyze internal evaluation variables in major or study program. Naive Bayes Clasifier (NBC) method is the simple form of Bayesian network that assume all features are independent each other. NBC shows us a great performance entirely in accuracy and error level classification. NBC is able to differentiate irrelevance attribute and also classified some attributes in prediction needs. This research hopefully can be useful for major internal evaluating and study program in order to increase the number of new registration students. The classification by influenced of variables to evaluate the condition of both major and study program for the new registration students.
Sistem Pendukung Keputusan Penentuan Lokasi dan Pemetaan Secara Simultan dengan OLAP Pradhana, Harindra W; Suryono, Suryono; Widodo, Achmad
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 (650.842 KB) | DOI: 10.21456/vol3iss2pp109-115

Abstract

This research proposes simultaneous localization and mapping (SLAM) system processed separately from the robot using data ware house. Information in the data warehouse processed separately to allow complex computation held without lowering robotic system performance. The system helps making decision by analyzing information in the data warehouse. Decision support information visualized in vector graphics to helps robotic information interpretation. This system use online analytical processing (OLAP) on processing and analyzing information in the data warehouse. Visualization process use SVG to display map from robotic data processing. Web server manages all of the processing and analysis of OLAP information and displays it through browser to the user. This research produces interactive and informative decision support system. The web server quickly process information and displays it to the browser. System processing and analysis generates relevant information with low error. For further research, conventional SLAM methods can be added to the server to operate the information in the data warehouse.
Diagnosa Kerusakan Bearing Menggunakan Principal Component Analysis (PCA) dan Naïve Bayes Classifier Pudyastuti, Dwi; Prahasto, Toni; Widodo, Achmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (897.1 KB) | DOI: 10.21456/vol6iss2pp114-123

Abstract

This research is discussing about the usage of data mining which addressed for bearing fault diagnosis. Bearing was one of the essential parts in industry machinery. Bearing was used to reduce machines frictions or could be a moving component which oppressed each other.  This fault diagnosis can avoid loss and damage of other machines components. This research was started with data preprocessing using wavelet discrete transformation, feature extraction, feature reduction using Principal Component Analysis (PCA), and classification process using Naïve Bayes classifier methods. Naïve Bayes Classifier is a classification method which based on probability and Bayesian theorem. Output of these method shows that Naïve Bayes classification have a good performance which shown by a good accuracy in each data test.
Algoritma K-Means Clustering Untuk Pengelompokan Ayat Al Quran Pada Terjemahan Bahasa Indonesia Robani, Miftachur; Widodo, Achmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1112.246 KB) | DOI: 10.21456/vol6iss2pp164-176

Abstract

Clustering process can make the process of grouping data so that the data in the same cluster have high similarity with the data in the same cluster. One of the clustering algorithm that is widely used is the K-Means because it has advantages such as simple, efficient, easy to understand and easy to apply. Grouping paragraph dealing with similar themes will allow users to find a theme in the Qur'an. This study aims to produce an information system that can perform grouping Quran with K-Means method. This research was conducted with a pre-processing stage process for text data, weighting by TFIDF, grouping data with K-Means clustering, labeling data for keywords. The resulting system is able to display a verse in groups associated with the keyword. The test results by using the index on the silhouette of Surah Al Fatihah generate positive value of 0.336 which means that the data in the right group, while the frequency of keywords versus the amount of data to produce a percentage of 53%, which means the keyword represents half of the data in the cluster. Tests also showed that the test results silhouette will be directly proportional to the number of clusters and inversely proportional to the number of data dimensions. To increase the value of testing required centroid method for early elections, the reduction of data dimensions and methods of measurement of distance and similarity.
Diagnosis Kerusakan Bantalan Gelinding Pada Sistem Industri Dengan Metode Self Organizing Map (SOM) Wibowo, Dega Surono; Widodo, Achmad
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 (1388.406 KB) | DOI: 10.21456/vol4iss1pp58-66

Abstract

This research is discussing about the usage of data mining which addressed to damage diagnosis of rolling bearings. Data input was obtained from signal frequency feature extraction which taken from calibration against rolling bearings. The diagnosis was extremely important to industrial machines since this diagnosis can help to discover damages that occurred so that total failure of cessation of the machines can be avoided and industrial machines treatment costs can be optimized. Method used in this research is Self Organizing Map (SOM), SOM method on this research was done by sequence: signal frequency data that have been through the process of acquisition and preprocessing, feature extraction, Principal Component Analysis (PCA), then come into the process of SOM so that accuracy of the diagnosis process can be discovered. The result of this research is a software that can diagnose rolling bearings damage on industrial system. From tests result, software that has been produced was able to diagnose rolling bearings damage. Accuracy result shown 87.5% success, this software can be developed further to help technicians in diagnosing rolling bearings damage. This research method can be developed further to detect other damages in industrial systems.   Keywords: Data mining; PCA; SOM; Diagnosis; Rolling bearings; Statistic feature extraction
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.
Co-Authors ., Suwoko A., Kriscahya R. Abdul Rachman Syam Tuasikal Abdulloh, Ajeng Intan Mahardika Achmad Hidayatno Adi Pranoto, Adi Adi Suryanto, Andik ADITYA MAULIDIN, BAREP Advendi Kristiyandaru Agus Hariyanto Agus Suprihanto Ahmad Abdul Rozak Ahmad Herjuno Satrio W Ali Djamhuri Alkatiri, Thoriq Munir ANDUN SUDIJANDOKO ANGGIA SWASTIKA, WIDI Annas, Amsal Anung Priambodo Anwar, Miftahul Anwar, Yusran Anwari, Aulya Safiyna Nuuril Ardynugraha, Ivan Dwi Hascaryo Arif Bulqini Arif Sudrajat Arya Ramadhan, Iqbal Ayubi, Novadri Azzaro Hafidz Ramadhan Bagus Sajiwo, Bagus Baharuddin, Ayub Bahauddin, Muhammad Arja Bawono, Mokhamad Nur BAYU PUTRO, ANDIKA Bikalawan, Sauqi Sawa Budi Setiyana Budi Setiyana Budiman, Bentang Cahaya Ramadhan CANDRA DWI SATRIAPUTRA, GUSTI Canggih Nugroho Cipta Nur Akbar David Titian Wiranata Dega Surono Wibowo, Dega Surono Deni Dwi Darmawan Desto, Mochamad Krisna DIAH LUTFI NURHAYATI, CICI Diahsty Marasabessy, Munira Dimas Bimo Nugroho Dio Akmal Prayoga Djoeli Satrijo Dwi Cahyo Kartiko DWI PRIHATINI, AGUS dwi pudyastuti, dwi Dwiyanto, Andreas Dzaky Nauvalika Ramadhani Efendi, Yusuf Eka Putra, I Wayan Valentino Endang Sri Wahjuni, Endang Sri Endhy Priambodo Fachrezi, Muhammad Fachru Faisal Yusuf Tornado Fajar Nur Hidayat FAJAR RAMADHAN, MOCHAMMAD Fajar Septianto Falah, Bahtiar Fatchurrahman, Faried Fikri, Muhammad Dzul Firmansyah, Awang FITHRONI, HIJRIN Fitra Nur Huda Galih Gugus Setyoaji Gatot Yulianto Gigih Pribadi Gigih Siantoro Hakim, Abdul Aziz Harindra W Pradhana, Harindra W Harindra Wisnu Pradhana Haryadi, Gunawan HERI WAHYUDI HIDAYATULLOH, RIFKY HIMAWAN WISMANADI Imam Suhaimi, Imam Imam Syafii, Imam Iman Agus Raharjo Indhitya R Padiku Irmantara Subagio Irmawati, Fariza Ismoyo Haryanto Ismoyo Haryanto Isna, Nura Maulida Ivan Dwi Hascaryo Ardynugraha J. Jamari JANNAH, SYAIFATHUL Joga Dharma Setiawan Kafrawi, Fatkur Rohman Kamta Kamta Kevin Razak Alfattah Khairul Jauhari Kholidi H, M. Farhan Khuddus, Lutfhi Abdil Kolektus Oky Ristanto Kristiyanto, Dionysius Abdi Kumaat, Noortje Anita Kusuma, Donny Kusuma, I Dewa Made Aryananda Wijaya Kusworo Adi Latief Rozaqi Miftachur Robani, Miftachur Moh. Arozi Mohammad Faruk Muarif, Jagat Shine Muchamad Arif Al Ardha MUFID ABDILLAH, ACHMAD Muhammad Dafa Maulana Muhammad Muhammad Munadi Munadi Murtadho, Muhammad Muchid Muslim, Asep Aziz Muthohir, Toho Cholik Nazaruddin Sinaga Noor Azizah Nugraha, Testa Adi NURHADI Nurhadi NURHASAN Nurhasan Nurhasan, Nurhasan Nusar Hajarisman Oce Wiriawan Ojo Kurdi Ojo Kurdi OKTA AVIA MARTHA, PRISKA Oktravrianto, Dwiky Pandyagalih Jayanimitta Panenggak, Nur Syahadati Retno Pangestu, Aldian Dwi Pembayun, Nur Shanti Retno Pradika, Eky Fortuna Pramono, Sigit Eko Pranatagama, Sultan Alif Prasetya, Muhammad Reza Aziz Pribadi, David Rinekso Pudjijuniarto, Pudjijuniarto Pungkas Satria PUTRA NUSANTARA, BAGUS Rachmat Gernowo Radhi Maladzi Ragil, Ragil Ar Rasyid RAHAYU NINGSIH, JULITA Rahmawati, Laelly Ratmono, Bella Adik Ayu Reni Reni, Reni Rif'an Rif'an RINO TRIADIANSYAH, MOHAMMAD RISTIAWAN, BAYU Rizka Rosyadi Rizky Patria Nevangga RIZQI MUSYAFA, MUHAMMAD RIZVI, M.TAHAJJUDIN ROESDIANTO, ALDY ROY JANUARDI IRAWAN Rusdiawan, Afif Sahid Sahid Santosa, Sigit Santoso, Muhammad Naufal Anditya Sari, Dini Aquylaria Satria Ika Dinwasiba Satria, Pungkas Satrio Budi Prasojo, Satrio Budi Satya, Ibrahim Sholikhah, Anindya Mar'atus Sigalingging, Boy Betman Solikah, Nur Luthfiatus Sri Nugroho Subagio , Irmantara Suganda, Dhenada Dhyo Sugeng Widada Sugeng, Imam Suliadi SULISTYARTO, SONI Supriyadi, Stevanus Gatot Suryono Suryono SUSANTO WIBISONO, FARID Susanto, Indra Himawan Susilo Adi Widyanto Sutawanir Darwis Suwoko . Suwoko Suwoko Suwoko Suwoko SYAMSUDAR, BANGBANG Syamsul Arifin TAMAMMUDIN, MUHAMMAD Taufiq Hidayat THORIQ AL MUNDIRI, M Toni Prahasto Tri Asih Wahyu Hartati Try Hadmoko Tsaniyah, Nufi Saidatus Udi Harmoko Ufairah, Nabila Nur Wahyu Caesarendra wahyu Firmansyah, Moh. WARDA S HATTA, HALIM Yoga Prasetya Yusuf Dewantoro Herlambang Zudi Zukron Amin ZUMMAH, SYAIFUDDIN