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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Media Kesehatan Masyarakat Indonesia BERKALA FISIKA MATEMATIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS YOUNGSTER PHYSICS JOURNAL Jurnal Sistem Komputer Telematika : Jurnal Informatika dan Teknologi Informasi Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Imejing Diagnostik Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Manajemen Kesehatan Indonesia Jurnal Teknologi dan Sistem Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal Of Vocational Health Studies Jurnal Penelitian Pendidikan IPA (JPPIPA) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknoinfo Journal of Physics and Its Applications Jurnal Sisfokom (Sistem Informasi dan Komputer) JURTEKSI 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 Journal of Information Systems and 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 Multidisiplin Madani (MUDIMA) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Makara Journal of Technology International Journal Of Health And Social Behavior
Kusworo Adi
Jurusan Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro Jl. Prof. Soedharto, SH., Tembalang, Semarang, Jawa Tengah
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Journal : JURNAL SISTEM INFORMASI BISNIS

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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
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 Agustini, Eka Puji Agvion Virsaw Alfajri, Willy Bima Andrian Bayu Suksmono Andriyan B. Suksmono Andriyan Suksmono Andriyan Suksmono, Andriyan Antono Suryo Putro Apoina Kartini Aprilia Ayu Andarinny Ardhi, Ovide Decroly Wisnu Ari Bawono Putranto Arief Rachman Aris P Widodo Aris Puji Widodo Aris Puji Widodo Aris Sugiharto Ary Setyadi Aryasa, Komang Budi Atik Zilziana Muflihati Noor Baital, Muhammad Sawal Basuki Wibowo Beta Noranita Cahya Tri Purnami Cahya Tri Purnami Carissa Devina Usman Catur Adi Widodo Catur Edi Widodo Chakim Annubaha Choirul Anam Choirul Anam AM Diponegoro Dartini Dartini Dartini Dartini, Dartini Dedi Apriyandi Dedi Sepriana Delfia, Fila Dewi, Adinda Cipta Dian Anggraini Didi Supriyadi Dwi Ely Kurniawan Dwi Rochmayanti Dyah Apriliani Eka Vickraien Dangkua, Eka Vickraien Eko Adi Sarwoko Eko Sediono Elvira Situmorang Esa Prakasa, Esa Evi Setiawati Evita Ayu Suryaningtyas Faikhin . Faisal Rahman Fanny, Nabilatul Fardana, Nouvel Izza Farid Agushybana Farid Farid Agushybana Fatkhurrazi Basyid Figur Humani Fila Delfia Frida Fallo Gatot Murti Wibowo Gatot Murti Wibowo, Gatot Murti Hadyan Arifianto Hariri, Ahmad Harnanto, Rudy Haryati Haryati Hastuti, Dyah Dewi Havez Vazirani Al Kautsar Hendra Gunawan HENDRA GUNAWAN B11211055 Hernowo Danusaputro Ibrahim, Muhammad Rivani Imam Syafii Ircham Ali Isnain Gunadi Isnain Gunadi Jatmiko Endor Suseno Jatmiko Endro Suseno Jatmiko Endro Suseno Jayawarsa, A.A. Ketut Julianto, Dewa Rizki Rahmat Laila Rahmawati Linda Nuryanti M.Irwan Katili Mailia Putri Utami Mailia Putri Utami MAIZZA NADIA PUTR Maratullatifah, Yulaikha MARTINI Martini Martini Mengko, Tati L.R. Muhammad Ikhsan Nahdi Saubari Nanang Sulaksono, Nanang Natalia Kristiani Nava Muzdalifah Nelly Mirnasari Neneng Neneng Nina Dwi Astuti Noor Azizah Nugroho Adhi Santoso Nugroho, Irwan Andriyanto Nur Hamid Nurul Firdausi Nuzula, Nurul Firdausi Nurul Huda Prasetyo Oky Dwi Nurhayati Pamungkas, Ardian Prakasa, Fawwaz Bimo Puji Widodo, Aris Purwanto Purwanto Puspita Sari, Kiki Putri Nuriskianti Qoriani Widayati R Rizal Isnanto Rachmat Gernowo Rachmatullah, Robby Rahmat Gernowo Rahmat Gernowo Rasyid Rasyid, Rasyid Retnaningsih Soeprobowati, Tri Ria Amitasari Rima Ayuning Ratri Riris Trima Derita Sari Rizky Ayomi Syifa Rr. Tony Yulianto Saiful Widianto Salsabila Naqiyah Sari, Kiki Puspita Septya Maharani, Septya Setyowati Setyowati Shahmirul Hafizullah Imanuddin Sidin Hariyanto 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 Retnaningsih Soeprobowati Tri Sandhika Jaya Tutur Urip Undari Nurkalis Vincencius Gunawan, Vincencius Vincensius Gunawan S.K. Wahyu Setia Budi Wahyudi Setiawan Wahyuni, Wilda Waliyansyah, Rahmat Robi Weirna Yusanti Wicaksono, Januar Agung Widagdo, Krisan Aprian Wisnu Ardhi, Ovide Decroly Wiwit Agus Triyanto Yuliani Setyaningsih Zaenal Arifin Zaenul Muhlisin Zainal Bachrudin