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Studi Inferensi Fuzzy Tsukamoto Untuk Penentuan Faktor Pembebanan Trafo PLN Thamrin, Fanoeel; Sediyono, Eko; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.995 KB) | DOI: 10.21456/vol2iss1pp001-005

Abstract

One  of  the  strategic  components  of  the  power  system  is  the  transformer.  Disruption  of  the  transformer  can  cause  the  transformer  to burning  and the  transformer  performance to decrease.  Therefore,  in this case  maintenance  and  detection of  damage to  the transformerneeds to  be done regularly  so that  the transformer  can  work within the  period of  maximum  usage. But,  the problem  is the  substantial costs  required  to  ask for  an expert  in  transformer  maintenance  and  inspection  on a regular basis.  Based on  these  issues  it  is necessary to develop software with capabilities equal or close to an expert diagnosis of a transformer with high accuracy and speed of maintenance ontransformers  before  irreparable  damage.  Application  of  expert  system  with  fuzzy  inference  Tsukamoto  for  PT.  PLN  transformer maintenance is an expert system used to detect other types  of disturbances in PT PLN distribution transformers so that maintenance can be performed in accordance with the type of damage or disturbance that occurred in the transformer. This application is equipped with transformer  loading  calculation,  an  imbalance  of   load  on  trafo.  Input  variables  used  in  determining  transformer  loading  and  load imbalance on the current transformer is rated at each phase transformer, the voltage of each phase, power factor and the tra nsformer capacity.Keywords : Expert System,  Fuzzy Tsukamoto, Transformers Maintenance
Studi Inferensi Fuzzy Tsukamoto Untuk Penentuan Faktor Pembebanan Trafo PLN Thamrin, Fanoeel; Sediyono, Eko; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.995 KB) | DOI: 10.21456/vol2iss1pp001-005

Abstract

One  of  the  strategic  components  of  the  power  system  is  the  transformer.  Disruption  of  the  transformer  can  cause  the  transformer  to burning  and the  transformer  performance to decrease.  Therefore,  in this case  maintenance  and  detection of  damage to  the transformerneeds to  be done regularly  so that  the transformer  can  work within the  period of  maximum  usage. But,  the problem  is the  substantial costs  required  to  ask for  an expert  in  transformer  maintenance  and  inspection  on a regular basis.  Based on  these  issues  it  is necessary to develop software with capabilities equal or close to an expert diagnosis of a transformer with high accuracy and speed of maintenance ontransformers  before  irreparable  damage.  Application  of  expert  system  with  fuzzy  inference  Tsukamoto  for  PT.  PLN  transformer maintenance is an expert system used to detect other types  of disturbances in PT PLN distribution transformers so that maintenance can be performed in accordance with the type of damage or disturbance that occurred in the transformer. This application is equipped with transformer  loading  calculation,  an  imbalance  of   load  on  trafo.  Input  variables  used  in  determining  transformer  loading  and  load imbalance on the current transformer is rated at each phase transformer, the voltage of each phase, power factor and the tra nsformer capacity.Keywords : Expert System,  Fuzzy Tsukamoto, Transformers Maintenance
Studi Inferensi Fuzzy Tsukamoto Untuk Penentuan Faktor Pembebanan Trafo PLN Thamrin, Fanoeel; Sediyono, Eko; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.995 KB) | DOI: 10.21456/vol2iss1pp001-005

Abstract

One  of  the  strategic  components  of  the  power  system  is  the  transformer.  Disruption  of  the  transformer  can  cause  the  transformer  to burning  and the  transformer  performance to decrease.  Therefore,  in this case  maintenance  and  detection of  damage to  the transformerneeds to  be done regularly  so that  the transformer  can  work within the  period of  maximum  usage. But,  the problem  is the  substantial costs  required  to  ask for  an expert  in  transformer  maintenance  and  inspection  on a regular basis.  Based on  these  issues  it  is necessary to develop software with capabilities equal or close to an expert diagnosis of a transformer with high accuracy and speed of maintenance ontransformers  before  irreparable  damage.  Application  of  expert  system  with  fuzzy  inference  Tsukamoto  for  PT.  PLN  transformer maintenance is an expert system used to detect other types  of disturbances in PT PLN distribution transformers so that maintenance can be performed in accordance with the type of damage or disturbance that occurred in the transformer. This application is equipped with transformer  loading  calculation,  an  imbalance  of   load  on  trafo.  Input  variables  used  in  determining  transformer  loading  and  load imbalance on the current transformer is rated at each phase transformer, the voltage of each phase, power factor and the tra nsformer capacity.Keywords : Expert System,  Fuzzy Tsukamoto, Transformers Maintenance
Sistem Informasi Manajemen Rantai Pasok Pariwisata Untuk Pembuatan Produk Wisata Pada Agen Tour dan Travel dengan Analisis Swot dan Metode Analytic Network Process ) Kusumawardani, Dwi Mustika; Sediyono, Eko
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 (445.778 KB) | DOI: 10.21456/vol6iss2pp177-185

Abstract

The development of services company in tourism is increasing. Therefore each tour & travel agent should be able to improve the quality of attractive and competitive products. This research builds a system analysis of supply chain management in the manufacturing of tour packages with SWOT analysis and Analytic Network Process (ANP). SWOT analysis is one way to decide marketing strategy for the company to able to face global competition. In this study, a SWOT analysis is used to select the best suppliers in tourism sector. Suppliers include: hotels, restaurants, attractions and accommodations. Combination of the best suppliers used as in one product of tour package. While the method of Analytic Network Process is used to rank the tour package has been obtained previously. In addition, this method is applied because it can provide information about the most influential of criteria in making tour package. This method conducted by looking at dependency relationship between among criteria. Then give them weight among criteria, sub-criteria and alternatives. The criteria used in the method of Analytic Network Process are: product, price, place and promotion. The results obtained from this research is the system analysis of supply chain management of tourism which capable of producing an attractive and competitive tour packages form of tour packages 1 with a value of 0.53. In addition, this information system provides information that the most influential criteria in making tour package is the product criteria with a value of 0.30. The next criterion which affects the making of attractive and competitive tour packages is price of criteria with a value of 0.28.
Pencarian File Gambar Berdasarkan Dominasi Warna Epifania, Vina Chovan; Sediyono, Eko
Jurnal Buana Informatika Vol 2, No 1 (2011): Jurnal Buana Informatika Volume 2 Nomor 1 Januari 2011
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.583 KB) | DOI: 10.24002/jbi.v2i1.303

Abstract

Abstract. Image File Searching Based on Color Domination. One characteristic of an image that can be used in image searching process is the composition of the colors. Color is a trait that is easily seen by man in the picture. The use of color as a searching parameter can provide a solution in an easier searching for images stored in computer memory. Color images have RGB values that can be computed and converted into HSL color space model. Use of HSL images model is very easy because it can be calculated using a percent, so that in each pixel of the image can be grouped and named, this can give a dominant values of the colors contained in one image. By obtaining these values, the image search can be done quickly just by using these values to a retrieval system image file. This article discusses the use of the HSL color space model to facilitate the searching for a digital image in the digital image data warehouse. From the test results of the application form, a searching is faster by using the colors specified by the user. Obstacles encountered were still searching with a choice of 15 basic colors available, with a limit of 33% dominance of the color image search was not found. This is due to the dominant color in each image has the most dominant value below 33%.   Keywords: RGB, HSL, image searching Abstrak. Salah satu ciri gambar yang dapat dipergunakan dalam proses pencarian gambar adalah komposisi warna. Warna adalah ciri yang mudah dilihat oleh manusia dalam citra gambar. Penggunaan warna sebagai parameter pencarian dapat memberikan solusi dalam memudahkan pencarian gambar yang tersimpan dalam memori komputer. Warna gambar memiliki nilai RGB yang dapat dihitung dan dikonversi ke dalam model HSL color space. Penggunaan model gambar HSL sangat mudah karena dapat dihitung dengan menggunakan persen, sehingga dalam setiap piksel gambar dapat dikelompokan dan diberi nama, hal ini dapat memberikan suatu nilai dominan dari warna yang terdapat dalam satu gambar. Dengan diperolehnya nilai tersebut, pencarian gambar dapat dilakukan dengan cepat hanya dengan menggunakan nilai tersebut pada sistem pencarian file gambar. Artikel ini membahas tentang penggunaan model HSL color space untuk mempermudah pencarian suatu gambar digital didalam gudang data gambar digital. Dari hasil uji aplikasi yang sudah dibuat, diperoleh pencarian yang lebih cepat dengan menggunakan pilihan warna yang ditentukan sendiri oleh pengguna. Kendala yang masih dijumpai adalah pencarian dengan pilihan 15 warna dasar yang tersedia, dengan batas dominasi warna 33% tidak ditemukan gambar yang dicari. Hal ini disebabkan warna dominan disetiap gambar kebanyakan memiliki nilai dominan di bawah 33%. Kata Kunci: RGB, HSL, pencarian gambar
ANALISIS PANTAUAN DAN KLASIFIKASI CITRA DIGITAL PENGINDRAAN JAUH DENGAN DATA SATELIT LANDASAT TM MELALUI TEKNIK SUPERVISED CLASSIFICATION (STUDI KASUS KABUPATEN MINAHASA TENGGARA, PROVINSI SULAWESI UTARA) Hanindito, Gregorius Anung; Sediyono, Eko; Setiawan, Adi
Prosiding KOMMIT 2014
Publisher : Prosiding KOMMIT

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Abstract

Kabupaten Minahasa Tenggara tergolong merupakan kabupaten baru yang beradadi wilayah provinsi Sulawesi Utara. Kabupaten ini memiliki beberapa potensi daerahbaik dalam bidang pertanian, perkebunan maupun kehutanan. Pada penelitian iniakan dilakukan proses analisis citra hasil pengindraan jarak jauh satelit Landsat TMdi daerah Kabupaten Minahasa Tenggara. Penelitian ini mengguanakan metodepengolahan citra satelit Landsat TM dari tahap pengumpulan data citra hinggatahap klasifikasi dengan menggunakan teknik supervised classification. Melaluiteknik ini diperoleh hasil kenampakan lahan, baik pertanian, perkebunan, maupunhutan yang terdapat pada wilayah Kabupaten Minahasa Tenggara. Pada akhirnyahasil klasifikasi ini dapat digunakan sebagai acuan analisis cakupan vegetasikabupaten Minahasa Tenggara. Melalui penelitian ini kenampakan vegetasi hutansangat mendominasi dari seluruh cakupan wilayah Kabupaten Minahasa Tenggara.Bahkan cakupan vegetasi hutan jauh lebih dominan dibandingkan cakupan lainseperti lahan pertanian, maupun pemukiman penduduk. Sehingga tujuan utamadalam penelitian ini yakni untuk memperoleh skala perbandingan antara masingmasingkenampakan yang terdapat di wilayah Kabupaten Minahasa Tenggara.Keyword : pengindraan jauh, Landsat TM, supervised classification
PERANCANGAN SISTEM INFORMASI MANAJEMEN RANTAI PASOK (SUPPLY CHAIN MANAGEMENT) UNTUK DISTRIBUSI PANGAN KABUPATEN MINAHASA TENGGARA Ama, Aldian Umbu Tamu; Sediyono, Eko; Setiawan, Adi
Prosiding KOMMIT 2014
Publisher : Prosiding KOMMIT

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Abstract

Rendahnya penyediaan informasi yang mendukung pengelolaan hasil pertanian di daerah Minahasa Tenggara akan berpengaruh pada distribusi hasil produksi. Distribusi yang tidak merata dapat menyebabkan stok produk di suatu daerah akan sangat berlebih, dan di daerah lain menjadi sangat kurang, hal ini akan memicu kurangnya keseimbangan harga produk yang beredar dipasaran. Melihat permasalahan yang ada maka perlu dirancang dan diterapkan sistem informasi yang akan memberikan solusi untuk mengumpulkan berbagai informasi hasil pangan daerah-daerah dan dikelola untuk mengetahui seberapa banyak hasil produksi yang harus dikonsumsi, dijual dan bisa didistribusikan ke daerah lain dari petani atau kelompok tani maupun perusahaan pertanian berbadan hukum. Metode penelitian yang digunakan adalah metode penelitian dan pengembangan (Research and Development). Rancangan sistem dibuat dengan memperhatikan aspek-aspek kebutuhan fungsional dan non-fungsional. Pengujian rancangan menggunakan loop testing untuk menggambarkan pembentukan struktur program secara keseluruhan.
APLIKASI TEXT TO SPEECH SEBAGAI MEDIA AJAR KOMUNIKASI BAGI PENYANDANG TUNA WICARA di SDLB KOTA SALATIGA Sediyono, Eko; Wahyono, Teguh; Modok, Melissa; Pradikta, Theo
Proceedings of KNASTIK 2009
Publisher : Duta Wacana Christian University

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Abstract

Penyandang tuna wicara berbeda dengan penyandang cacat lainnya. Secara fisik mereka sempurna, maka mereka cenderung aktif dan eksklusif. Untuk mengatasi kecacatannya diperlukan alat bantu ajar yang dapat memperkuat konsentrasi belajar mereka. Aplikasi text to speech telah dibuat dan diuji coba untuk latihan bicara, sekaligus ditambah materi hitung- menghitung. Hasil yang diperoleh sangat positif, siswa sangat antusias dan perkembangan kemampuan ucapannya juga meningkat lebih cepat dari pada dengan cara biasa.
SISTEM PENGAMBILAN KEPUTUSAN PERENCANAAN DAN PEMBANGUNAN PEMERINTAH BERBASIS ANALYTICAL HIERARCHY PROCESS (AHP) (STUDI KASUS: MUSRENBANG PEMERINTAH DAERAH KAB. HALMAHERA UTARA) Batawi, Rymond N.; Sediyono, Eko
Proceedings of KNASTIK 2013
Publisher : Duta Wacana Christian University

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Abstract

One of the important part in the process of construction of North Halmahera Regency Area is the determination of strategic planning for the improvement of the quality of the performance of such establishments. In carrying out or assisting the determination of planning-planning is still in the form of execution which is still done manually by the leadership of the party, thereby impeding the performance of these institutions a bit in determining the timing of the decision on the strategic planning decisions.Information technology can be used to assist in the improved performance of a business or organization. An organization that consists of a lot of people need to manage knowledge derived from these people through the process of knowledge management (KM).In this research will be applied the concept of knowledge management on strategic planning for the improvement of the quality of the performance of the agencies in North Halmahera Regency and applying methods of Analytical Hierarchy Process (AHP) to give advice in determining strategic planning decisions in development planning Congress (MUSRENBANG).
Metode Microsoft Clustering untuk Meningkatkan Potensi Penerimaan Mahasiswa Baru Suharyadi, Suharyadi; Sediyono, Eko
Jurnal Sistem Komputer Vol 7, No 1 (2017)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v7i1.138

Abstract

The competition among private universities in Indonesia for students admission is getting tough. This phenomenon is triggered by the fact that the main source of income for those universities is from their students. In order to win the competition is the targeting the promotion to the right area. Clustering method in data mining could be utilized get the information on the segment of prospective students, By segmenting these prospective students, a good promotion could be carried out in a more organized way. It also helps to achieve the cost effective and the target that the universities have. One of the advantages of this kind of promotion is minimizing the promotion costs and the increasing responses from prospective students. This model is built using the ready to use tool in the market,Microsoft Excel and SQL Server 2008 Data Mining Add in. By implementing thus segmenting process to the applicant, it could classify which areas contributing to the number of the prospective students and which major they are interested in.
Co-Authors Ade Iriani Adenia Kusuma Dayanthi Adi Setiawan Adi Setiawan Adian Fatchurrohim Adila Safitri Adiyono, Soni Agus Priyadi Agus Subhan Akbar, Agus Subhan Agustinus Raharjo Ahmad Nuzulia Rahman Ahmad Zamsuri, Ahmad Aldian Umbu Tamu Ama Aldri Frinaldi Alvianto, Muhammad Nur Hendra Anak Agung Gede Sugianthara Andi Kristanto Andika, Awan Pijar Andry Ananda Putra Tanggu Mara Andry Tanggu Mara Angela Atik Setiyanti Anna Simatauw Anthony Anthony Antonius Oko Pranoto Anwar S Ardjo Anwar S. Ardjo Anwar S. Ardjo, Anwar S. April Lia Hananto Ardaneswari, Awanda Ardjo, Anwar S Arief Andriono Arief Andriono, Arief Ariel Kristianto Aries Dwi Indriyanti, Aries Dwi Arif Darmawan Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Atik Mawarni Aulia Oktaviana Avin Wimar Budyastomo Aviv Yuniar Rahman Awanda Ardaneswari Batawi, Rymond N. Bayu Surarso Brian Laurensz Brilliananta Radix Dewana Budhi Kristianto Cahya Tri Purnami Cahyaningtyas, Christian Catur Edi Widodo Chrisanty Mariana Rorimpandey Christanto, Henoch Juli Christian Lilik HS Nivak Dahur, Arnoldus Janssen Damayanti, Elok Daniel HF Manongga Daniel Riano Kaparang Danny Manongga Danny Sebastian David Setia Darmawan Defitroh Chen Sami'un Devianto, Yudo Dewana, Brilliananta Radix Dharmaputra Palekahelu Dian Puspitadewi Kristyaningtyas Dinda Ayu Aprilia Dio Febrilian Tanjung Doni Wiryadinata Dwi Adityas Rarasati Dwi Mustika Kusumawardani, Dwi Mustika Dwi Setiawan Edna Maria, Edna Edwanda Arisandy Eko Nur Hermansyah Esti Zakia Darojat Evi Maria Faidul Jihad, Fikri Faqih, Haikal Farid Farid Agushybana Feibe Lawalata Ferdian Aditya Pratama Fian Yulio Santoso Fikri Faidul Jihad Fikri Faidul Jihad Firdaus Dwi Prasetyo Firdaus Dwi Prasetyo, Firdaus Dwi Fitra Nur Asri, Muh Florentina Tatrin Kurniati Gatot Sasongko Gilang Muhamad Noer Gregorius Anung Hanindito Gudiato, Candra Haidar Shiddiqramzy Haikal Haikal Haikal Haikal Haikal Nur Rachmanrachim Achaqie Haikal Nur Rachmanrachim Achaqie Hakim, M. Iman Nur Hanif Prasetyo bhakti Adi Nugroho Hany Makaruku, Yulian haryo kusumo Hendry Hertanto Mulianto Hery Santono Hetharie, Renee Yosua Hindriyanto Dwi Purnomo Huda, Baenil Humami, Faris Ilham Akbar Sodik Illyin Almeito Imaniar Sevtiyani Irwan Sembiring Iwan Setyawan Januar Agung Wicaksono Jemaictry Tamaela Johan Jimmy Carter Tambotoh Julce Adiana Sidette, Julce Adiana Jutono Gondohanindijo Juwita Artanti Kusumaningtyas Kartika Imam Santoso Kevin Mikhail Tulenan Kiswanto Kiswanto Kristoko Dwi Hartomo Kristyaningtyas, Dian P. Kuncoro, Wreda Agung Kusumaningtyas, Juwita Artanti Laksamana Rajendra Haidar Latupeirissa, Ariyanto Lawalata, Feibe Lawang, Robert M.Z. Leo Candra Gunawan Wicaksono Leonardo Refialy Leonardo Refialy, Leonardo Lestari, Merrryana Lili Rusdiana, Lili M., Maria Magdalena Maipauw, Musa Marsel Malioy, Rimes Jopmorestho Manongga, Daniel HF Maria Magdalena Martini Martini Martza Merry Swastikasari MARWATA, MARWATA Matheus Supriyanto Rumetna Mayestika, Anastasia Kezia Beatrix Melissa Modok Merryana Lestari Michael Elyas Ernawan Moh. Hasyimi Muay, Nikson Theys Muhammad Ikhsan Muhammad Nur Hendra Alvianto N.A. Miftahul Huda N.A. Miftahul Huda, N.A. Miftahul Nabiel Putra Adam Nabiel Putra Adam, Nabiel Putra Ni’mah Akbar Habibie Nofiyati Nofiyati, Nofiyati Nurjazuli Nurjazuli Nurjazuli Nuzhah Al Waaidhoh Oky Dwi Nurhayati Onesimus Joumaran Usior P Purwanto P, Sri Yulianto Joko Panja, Eben Paryono, Tukino Penison Wenda Perdana, Adam Bagus Ponco Yuniarto Pranoto, Antonius Oko Pratama, Ferdian Aditya Pratindy, Raka Prisilia Talakua Priyadi Priyadi Purnama Harahap, Eka Pusaka, Semerdanta Putri Gloria Qurotul Aini Rachardian, Seprima Raden Mohamad Herdian Bhakti Rahmat Gernowo Rahmatika, Yuni Ramanda, Febri Renee Yosua Hetharie Reni Murnita Retno Setya Anggraeni Richi Eka Yanti Rohmad Abidin Romadhon, Zainur Romauli Basaria Romy Aziz Risaldi Ronny Julians, Adhe Roy Rudolf Huizen Ryo Pambudi Saian, Septovan Dwi Suputra Santoso, Fian Yulio Santoso, Nuke Puji Lestari Satriyo Satriyo Sausan Hidayah Nova Sekarlangit Sekarlangit Septovan Dwi Suputra Saian Setiawan, Santo Sholikin, Muhammad Siti Shofiah Slamet Widodo Sodik, Ilham Akbar Solly Aryza Sri Achadi Nugraheni Sri Ngudi Wahyuni, Sri Ngudi Sri Yulianto Sri Yulianto Joko P Sri Yulianto Joko Prasetyo Stephen Aprius Sutresno, Stephen Aprius Suci Larasati Suhartono Suhartono Suharyadi Surarso Bayu Susanti, Novita Dewi Swastikasari, Martza Merry Talakua, Prisilia Tamaela, Jemaictry Teguh Wahyono Theo Pradikta Theofani, Gracia Tintien Koerniawati Tirsa Ninia Lina Tjokra, Cindy Vanesya Tri Wahyuningsih Trisna Wonda Trisna Wonda, Trisna Tulenan, Kevin Mikhail Tundjung Mahatma Umbu Tamu Ama, Aldian Untung Rahardja Viera Juniver Thenu Vina Chovan Epifania Wardoyono, Hengky Widi, Anugerah Yakobus Kevin Dean Prasetyo Yayi Suryo Prabandari Yerik Afrianto Singgalen Yessica Nataliani Yonathan Saputra Yulian Hany Makaruku Yuliarman Saragih Zainal Arifin Hasibuan Zati Hulwani Zati, Hulwani Zukhruf, Afriza Meigi