Ika Purwanti Ningrum
Halu Oleo University

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SISTEM INFORMASI AKADEMIK SUB SISTEM :TRANSAKSI AKADEMIK DAN USE MANAGEMENT (STUDI KASUS : FAKULTAS TEKN UNIVERSITAS HALU OLEO) La Ode Apriadi; Ika Purwanti Ningrum; Statiswaty Statiswaty
semanTIK Vol 2, No 1 (2016): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (611.794 KB) | DOI: 10.55679/semantik.v2i1.848

Abstract

The purpose of the research that has been conducted by the author is  to build and design an Academic Information System of Halu Oleo University that can maintain  academic data of Halu Oleo University. System  is built by the author focus on processing data related to academic transaction such Study Program Card and Post-Study Program Card, value weighting, standard of value, college student furlough application and transcript. In addition, this system also maintain data related to user management.   The author uses Unified Modeling Language (UML) as the system modeling language, PHP as programming language and MySQL as system database. The results of the testing that has been done on the system shows that the system can help users ( both students and lecturer) in the process of academic transaction such as bidding, creating Study Program Card and Post-Study Program Card, and also transcripts as well as perform user management more regularly. Keywords— Academic Information System, Academic Transaction, User Management.
MEMBANGUN APLIKASI GAME “DUA SATU (21)” BERBASIS ANDROID MENGGUNAKAN METODE DEPTH FIRST SEARCH Muhammad Fajar; Ika Purwanti Ningrum; Rahmat Ramadhan
semanTIK Vol 1, No 2 (2015): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (183.291 KB) | DOI: 10.55679/semantik.v1i2.494

Abstract

Kata game berasal dari bahasa inggris yang berarti permainan. Saat ini game berkembang di aplikasi mobile. Salah satu sistem operasi untuk perangkat mobile adalah Android. Perkembangan sistem operasi mobile Android diakibatkan oleh kelebihannya yang bersifat terbuka, sehingga kemudahan dalam menggunakannya menjadi nilai tambah. Hal ini menyebabkan pemakaian mobile Android terus meningkat. Untuk pencarian solusi dalam sebuah game dapat menggunakan metode pencarian, salah satunya adalah algoritma Depth-First Search (DFS). Dalam metode pencarian Depth First Search (DFS), pencarian dilakukan pada satu node dalam setiap level dari yang paling kiri. Jika pada level yang paling dalam solusi belum ditemukan, maka pencarian dilanjutkan pada node sebelah kanan. Pada penelitian ini, algoritma pencarian Depth First Search (DFS) diimplementasikan dalam sebuah game. Game yang diciptakan dalam penelitian ini adalah game Dua Satu (21). Hasil dari penelitian ini menunjukan bahwa algoritma pencarian Depth First Search dapat diterapkan dalam aplikasi game Dua Satu (21), namun tidak lengkap karena dari 144 kombinsi angka yang menjadi masukan, terdapat 30 kombinasi angka yang tidak muncul solusinya. Hal ini merupakan salah satu kekurangan dari algoritma pencarian Depth First Search yang memungkinkan untuk tidak ditemukannya solusi. Selain itu, hasil pengujian aplikasi ini ke beberapa smartphone juga menunjukkan kondisi yang sama, yaitu masih terdapat kombinasi angka yang tidak muncul solusinya, jadi spesifikasi dan merek smartphone tidak mempengaruhi hasil keluaran Kata Kunci : Game, Mobile, Depth First Search (DFS), Android dan Dua Satu (21).
APLIKASI DIAGNOSIS PENYAKIT DIABETES MELITUS MENGGUNAKAN METODE FUZZY MULTI CRITERIA DECISION MAKING Indah Lestari Sumitro; Ika Purwanti Ningrum; Rahmat Ramadhan
semanTIK Vol 2, No 1 (2016): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (429.037 KB) | DOI: 10.55679/semantik.v2i1.763

Abstract

Fuzzy Multi Criteria Decision Making (FMCDM) can be seen as MCDM (Multi Criteria Decision Making) with fuzzy data. Fuzzy data can be applied for every alternatives or level of importance in every criterion. Every criteria or indications and kind of disease alternatives usually contains unpredictable values that prediction which given by decision maker done by qualitative and represented linguistically. This research aims to help the decision maker to determine category of Diabetes Mellitus (DM) which suffered from each categories of DM which related to indications that being determined. The system created by taking some categories of DM as data which will be used in calculation. The experiment that used the confusion matrix method  resulted the values of accuracy is 100%, sensitivity is 100% and specificity is ∞  (infinite). The output of this system is alternatives of this  diseased which Normal or undetected of DM, Pradiabetes, DM type 1, and DM type 2. Keywords— Confusion Matrix, Diabetes Melitus, Fuzzy Multi Criteria DecisionMaking.
SIMPEG FAKULTAS TEKNIK UNIVERSITAS HALU OLEO SUB-SISTEM KEPEGAWAIAN DAN RIWAYAT JABATAN Harley Sebastian S Mangiri; Ika Purwanti Ningrum; Muh. Yamin
semanTIK Vol 2, No 1 (2016): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (956.981 KB) | DOI: 10.55679/semantik.v2i1.843

Abstract

The purpose of the research that has been conducted by the author is  to build and design an Employee Information System of Engineering Faculty, Halu Oleo University that can maintain  officialdom data for the employees in Engineering Faculty. System that built by the author focus on processing data related to officialdom and position history such as employee personal data, education history, furlough history, training history, position history and ranks history. This System also can generate pension age limit based on the value that entered by the Admin and provides output in the form of report. The author uses Unified Modeling Language (UML) as the system modeling language, Entity Relational Diagram (ERD) as database modeling, PHP as programming language and MySQL as system database. The results of the testing that has been done on the system shows that the system can make it easier for employees to obtain information related to their own respective officialdom data, history of their respective positions and ranks, and also provide data according to their own respective needs in the form of report. Keywords— Information System, Officialdom, Position History.