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All Journal Jurnal Informatika Jurnal Ilmiah Akuntansi dan Bisnis Jurnal Keuangan dan Perbankan Business Accounting Review Jurnal Akuntansi Multiparadigma Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Share : Journal of Service Learning Petra International journal of Business Studies (IJBS) Jurnal Akuntansi dan Bisnis Asian Journal of Community Services (AJCS) Media Riset Akuntansi Auditing & Informasi Jurnal Manajemen dan Pemasaran Jasa

Oviliani Yenty Yuliana

Petra Christian University

Author-ID : 6026727

Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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RANCANGAN DATABASE SUBSISTEM PRODUKSI DENGAN PENDEKATAN SEMANTIC OBJECT MODEL Oviliani Yenty Yuliana
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 4 No. 1 (2002): JUNE 2002
Publisher : Institute of Research and Community Outreach - Petra Christian University

To compete in the global market, business performer who active in industry fields should have and get information quickly and accurately, so they could make the precise decision. Traditional cost accounting system cannot give sufficient information, so many industries shift to Activity-Based Costing system (ABC). ABC system is more complex and need more data that should be save and process, so it should be applied information technology and database than traditional cost accounting system. The development of the software technology recently makes the construction of application program is not problem again. The primary problem is how to design database that presented information quickly and accurately. For that reason it necessary to make the model first. This paper discusses database modelling with semantic object model approach. This model is easier to use and is generate more normal database design than entity relationship model approach. Abstract in Bahasa Indonesia : Dalam persaingan di pasar bebas, para pelaku bisnis di bidang industri dalam membuat suatu keputusan yang tepat memerlukan informasi secara cepat dan akurat. Sistem akuntansi biaya tradisional tidak dapat menyediakan informasi yang memadai, sehingga banyak perusahaan industri yang beralih ke sistem Activity-Based Costing (ABC). Tetapi, sistem ABC merupakan sistem yang kompleks dan memerlukan banyak data yang harus disimpan dan diolah, sehingga harus menggunakan teknologi informasi dan database. Kemajuan di bidang perangkat lunak mengakibatkan pembuatan aplikasi program bukan masalah lagi. Permasalahan utama adalah bagaimana merancang database, agar dapat menyajikan informasi secara cepat dan akurat. Untuk itu, dalam makalah ini dibahas pemodelan database dengan pendekatan semantic object model. Model data ini lebih mudah digunakan dan menghasilkan transformasi yang lebih normal, jika dibandingkan dengan entity relationship model yang umum digunakan. Kata kunci: Sub Sistem Produksi, Semantic Object Model, Database Relational.

PENDEKATAN MODEL MATEMATIS UNTUK MENENTUKAN PERSENTASE MARKUP HARGA JUAL PRODUK Oviliani Yenty Yuliana; Yohan Wahyudi; Siana Halim
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 4 No. 2 (2002): DECEMBER 2002
Publisher : Institute of Research and Community Outreach - Petra Christian University

The purpose of this research is to design Mathematical models that can determine the selling volume as an alternative to improve the markup percentage. Mathematical models was designed with double regression statistic. Selling volume is a function of markup, market condition, and substitute condition variables. The designed Mathematical model has fulfilled by the test of: error upon assumption, accurate model, validation model, and multi collinear problem. The Mathematical model has applied in application program with expectation that the application program can give: (1) alternative to decide percentage markup for user, (2) Illustration of gross profit estimation that will be achieve for selected percentage markup, (3) Illustration of estimation percentage of the units sold that will be achieve for selected percentage markup, and (4) Illustration of total net income before tax will get for specific period. Abstract in Bahasa Indonesia : Penelitian ini bertujuan untuk merancang model Matematis guna menetapkan volume penjualan, sebagai alternatif untuk menentukan persentase markup harga jual produk. Model Matematis dirancang menggunakan Statistik Regresi Berganda. Volume penjualan merupakan fungsi dari variabel markup, kondisi pasar, dan kondisi pengganti. Model Matematis yang dirancang sudah memenuhi uji: asumsi atas error, akurasi model, validasi model, dan masalah multikolinearitas. Rancangan model Matematis tersebut diterapkan dalam program aplikasi dengan harapan dapat memberi: (1) alternatif bagi pengguna mengenai berapa besar markup yang sebaiknya ditetapkan, (2) gambaran perkiraan laba kotor yang akan diperoleh setiap pemilihan markup, (3) gambaran perkiraan persentase unit yang terjual setiap pemilihan markup, dan (4) gambaran total laba kotor sebelum pajak yang dapat diperoleh pada periode yang bersangkutan. Kata kunci: model Matematis, aplikasi program, volume penjualan, markup, laba kotor.

Pemetaan Penderita Pneumonia di Surabaya dengan Menggunakan Geostatistik Stefanie Hartanto; Siana Halim; Oviliani Yenty Yuliana
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 12 No. 1 (2010): JUNE 2010
Publisher : Institute of Research and Community Outreach - Petra Christian University

In this paper we mapped the location of Pneumonia disease in Surabaya. We also analyse the survival of the afflicted and predict the spread of the disease using Kriging. The study reveals that after 45 days in the hospital, the survival of the Pneumonia’s patients decrease to 46.8%. Moreover, the centers of this disease are in Tubanan and Sukomanunggal Both of these regions are in West Surabaya which also is an industrial part of the city.

Bayesian Belief Network untuk Menghasilkan Fuzzy Association Rules Rolly Intan; Oviliani Yenty Yuliana; Dwi Kristanto
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 12 No. 1 (2010): JUNE 2010
Publisher : Institute of Research and Community Outreach - Petra Christian University

Bayesian Belief Network (BBN), one of the data mining classification methods, is used in this research for mining and analyzing medical track record from a relational data table. In this paper, a mutual information concept is extended using fuzzy labels for determining the relation between two fuzzy nodes. The highest fuzzy information gain is used for mining fuzzy association rules in order to extend a BBN. Meaningful fuzzy labels can be defined for each domain data. For example, fuzzy labels of secondary disease and complication disease are defined for a disease classification. The implemented of the extended BBN in a application program gives a contribution for analyzing medical track record based on BBN graph and conditional probability tables.

Co-Authors Adrianto, Felicia Angela Andreas Handojo Aristofer Austin Aulastine Setiawan Bernardo Nugroho Yahya Celine Mercianne Susila Christella Jeaneva Eugenia Claresta Puguh Mettasari Utomo David Kristianto, David Debby Fransisca Muntu Devie Devie Dwi Kristanto Dwi Kristanto Elisa Tjondro Ellen Valencia Eugenia Vanessa Rimba Felicia Angela Adrianto Felincia Puguh Mitthasari Utomo Ferry Jaolis James Korompis Jaolis, Ferry Jesslyn Effendy Josua Tarigan Kennard Robby Yulianto Lovena Hariono Meivina, Meivina Prihadi, Johanes Yudi Remuz MB Kmurawak Rolly Intan Rolly Intan Saarce Elsye Hatane Serli Wijaya Siana Halim Stefanie Hartanto Stefanie Hartanto Tanti Octavia Viennie Melinda Lians Yenni Mangoting Yenni Mangoting Yohan Wahyudi Yohan Wahyudi Yulianto, Angelina Zeplin Jiwa Husada Tarigan

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