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All Journal JURNAL SISTEM INFORMASI BISNIS JURNAL ILMIAH KESEHATAN KEPERAWATAN Jurnal Simetris Jurnal Ilmiah Mahasiswa FEB E-Dimas: Jurnal Pengabdian kepada Masyarakat Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JURNAL MUQODDIMAH : Jurnal Ilmu Sosial, Politik dan Hummaniora Nagari Law Review Jurnal DISPROTEK Journal of Dedicators Community Legal Standing : Jurnal Ilmu Hukum Unes Law Review Gorontalo Law Review Jurnal Jatiswara J-Dinamika: Jurnal Pengabdian Kepada Masyarakat TARBAWI: Journal on Islamic Education Jurnal Pengabdian Al-Ikhlas Al-Adalah: Jurnal Hukum dan Politik Islam bit-Tech Legalite: Jurnal Perundang Undangan dan Hukum Pidana Islam Jurnal Informatika dan Rekayasa Perangkat Lunak Amalee: Indonesian Journal of Community Research & Engagement Jurnal Abdi Insani Mutawasith: Jurnal Hukum Islam Community Empowerment Jurnal AbdiMas Nusa Mandiri INSERT: Information System and Emerging Technology Journal Jurnal Sosial dan Teknologi Jurnal Administrasi Publik dan Pembangunan (JPP) Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi Prosiding University Research Colloquium AHKAM : Jurnal Hukum Islam dan Humaniora Indonesian Journal of Midwifery (IJM) SmartComp Journal of Information System and Computer Jurnal AL-MAQASID: Jurnal Ilmu Kesyariahan dan Keperdataan MARAS : Jurnal Penelitian Multidisplin Jurnal AL-MAQASID: Jurnal Ilmu Kesyariahan dan Keperdataan Indonesian Science Education Journal (ISEJ) Scientific Journal of Informatics Kinerja : Jurnal Manajemen Pendidikan Islam Damhil: Jurnal Pengabdian kepada Masyarakat
Noor Azizah
Universitas Islam Nahdlatul Ulama Jepara
Religion Agriculture, Biological Sciences & Forestry Arts Humanities 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Geolocation dengan Metode Djikstra untuk Menentukan Jalur Terpendek Lokasi Peribadatan Azizah, noor; Mahendra, Danang
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 2 (2017): Volume 7 Nomor 2 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (56.832 KB) | DOI: 10.21456/vol7iss2pp96-103

Abstract

Traveling from one place to another takes time and cost. Especially for tourists who get difficulties to find worship locations because of a vast area with the numbers of worship location. This study aims to design application based android to determine the location of worship with the shortest path. A method used to develop the application is Waterfall method that includes the beginning of the analysis phase up to the application maintenance stage. Result from this research is Djikstra method can searching the location with the shortest path. Geolocation technology is used to identify a real-world geographical location that can be applied to the android operating system. As a case study, this research has been successfully applied to searching the location of worship in Kudus District include mosques, christian churches, catholic churches, and monasteries.
Teknologi Geolocation Berbasis Android dengan Metode K-Means untuk Pemetaan UMKM di Kabupaten Jepara Azizah, Noor; Widiastuti, Nur Aeni
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 2 (2018): Volume 8 Nomor 2 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (25.618 KB) | DOI: 10.21456/vol8iss2pp218-224

Abstract

Micro, Small and Medium Enterprises (MSMEs) are industrial sectors that are very important to sustain the economy of Jepara Regency. There are 18,695 Small and Medium Enterprises (SMEs) in Jepara Regency in 2016, including wood carving, troso weaving, chopper brass (monel) jewelry, sculpture, rattan crafts, calligraphy, and reliefs. The number of SMEs in Jepara makes buyers or tourists have many choices in buying products of varying quality and competitive prices. In addition, sometimes they are also confused in finding the location of SMEs. Therefore, this application is made to solve these problems by making an application that provides location-based information center industrial services. This application is expected to facilitate tourists in finding the location of the industry to be addressed. Geolocation technology is used to identify real-world geographic locations that can be applied to the Android operating system. So this application provides store description services, product photos, and maps. SMEs are presented in the application in the map using the k-mean algorithm. The parameters used are the type of industry, number of employees, turnover per year, tools used. For the clustering have 3 categories, there are namely small, medium and large. The advantages of this algorithm can group data according to the similarity of data used in one group and minimize the same data between groups and cannot process data that is a missing value.
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 Achmad Ridwan, Achmad Achmad Widodo Adi Wibowo Adriani, Erin Novi Ahmad Abdul Chamid Ahmad Aviv Mahmudi Ahmad Hariyadi, Ahmad Ahmad Suriansyah Akie Rusaktiva. R Amalia, Miza Nur Ana Zumrotun Nisak, Ana Zumrotun Andriyani , Santi Andriyani, Santi Anis, Moh. Badiul Anna Nur Faidah Ariani, Nur Cahya Arta Mulya Budi Harsono Bintang Agustina Pratiwi Buang Budi Wahono, Buang Budi Budi Warsito Butar Butar, M. Ridho Calvin Calvin Chasanah, Muallimatul Choirunissa, Risza Cinantya, Celia Dalimunthe, Aidil Putra Danang Mahendra, Danang Dhonni, Muhammad Khusnud Dina Lusiana Setyowati Drajad Wibowo, DS Dwi Astuti Endang Lestari Hamidaturrohmah, Hamidaturrohmah Hanafi Hanafi Handayani, Tutiek Hanipah, Hanipah Harahap, Ana Pujianti Harahap, Muhammad Hafist Hartoyo, Nindiya Ika Nugraha Indah Puspitasari Indanah Indradewa, Rhian Joko Minardi, Joko Khoirul Muslimin Khusna, Nurya Kukuh Dwi Wijanarko Kusasi, Kusasi Kusworo Adi Laila, Azzah Nor Mahmudi, Aviv Maori, Nadia Annisa Margaretha, Sintikhe Novia Maulana Yuliati, Indah Mayasari, Seva Meimaharani, Rizkyasari Mohammad Khasan Muhammad Arifin Muhammad Purnomo Munaim, Siti Nabilla, Alifia Desya Nafis Str, Raihan Hadi Najid, Muhammad Reza Ahsanun Nasihah, Zahrotun Nasriyah Niswah, Nihlatun Noor Cholifah Noor Hidayah Nor Latifah Nugrahen, Sri Achadi Nur Aeni Widiastuti Nuradira, Afrida Hilda Olyvia Revalita Candraloka, Olyvia Revalita Pohan, Anisa Nurul Santi Pramandari, Virliana Dicky Pratama, Andrian Dico Pratiwi, Adelina Purnama, Edy Ayu Dewi Putri, Meilia Khasanah Rahmadayanti, Nadya Rahman, Yulianis Safrinadiya Rahmathoni, Lutfi Yusup Rahmawanti, Junita Era Dwi Ramadani, Ramadani Ratih Nindyasari Robingatin Robingatin Rukayah Rukayah SA’DIYAH, MAHMUDATUS Sabilla, Alzena Dona Sabrina, Dinta Safitri, Anggun Rizkya saputro, heru Saputro, Yayan Adi Sari, Noviana Shodiq Eko Ariyanto Shofiyuddin, Muh. Sisno Riyoko Sri Karyati Subhan Akbar, Agus Sudirwo Sudirwo Sutriyani, Wulan Syifa, Nadiyatus Tamaulina Br Sembiring Tristanti, Ika Triyanti, Dhea Dwi Umi Fatonah Umroh, Sri Fatimah Wibowo, DS Drajad Wibowo, DS. Drajad Wigati, Atun YANTO YANTO Yulisetyaningrum Zulfa, Arina Zulfa, M. Choiru Zumrotun Nisak, Ana Zumrotun, Erna