Article Per Year (5 Year)
p-Index From 2019 - 2024
0.61
P-Index
This Author published in this journals
All Journal Semantik Seminar Nasional Informatika (SEMNASIF) Informatika Mulawarman Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komputer Terapan Jurnal Elementer (Elektro dan Mesin Terapan) Communications in Science and Technology Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Multidisiplin
Kartina Diah K. W.
Politeknik Caltex Riau
Aerospace Engineering Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search

 1 
Data Mining dengan Algoritma Fuzzy C-Means Clustering Dalam Kasus Penjualan di PT Sepatu Bata Cakra Ramadhana; Yohana Dewi Lulu W; Kartina Diah K. W.
Semantik Vol 3, No 1 (2013): Semantik 2013
Publisher : Semantik

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.377 KB)

Abstract

Data transaksi di sebuah perusahaan  retail  selalu bertambah seiring dengan perubahan waktu. Data-data tersebut menjadi tumpukan data dalam jumlah yang sangat besar. Dengan memanfaatkan data -data tersebut, proses penggalian data sebagai informasi penting bagi perusahaan dapat dilakukan dengan analisis yang le bih dalam. Salah satu informasinya  adalah produk yang laris dan tidak laris  di pasaran. Untuk mengetahui hal tersebut,  maka dirancang sebuah aplikasi yang berbasis Visual Basic yang mengelola informasi dari data penjualan dengan  menggunakan metode Fuzzy C-Means. Data-data perusahaan berupa jumlah invoice, jumlah barang, dan jenis barang (artikel) sejumlah 1068 record diolah serta dilakukan analisa untuk periode data selama dua bulan, yakni Januari 2013 hingga Februari 2013.  Metode Fuzzy C-Means pada aplikasi ini menghasilkan output berupa tiga cluster yaitu laris sebanyak 84,12% produk, kurang laris sebanyak 12,69% produk, dan sangat laris sebanyak 3,17% produk. Berdasarkan hasil pengujian, algoritma Fuzzy C-Means sesuai pada kasus penjualan di PT Sepatu Bata yang diperoleh dengan adanya 91,2% karyawan toko PT Sepatu Bata yang menyatakan bahwa aplikasi ini bekerja dengan sangat baik.
Implementasi Metode SMART pada Sistem Pendukung Keputusan Pemilihan Kegiatan Ekstrakurikuler untuk Siswa SMA Tisa Magrisa; Kartina Diah Kusuma Wardhani; Maksum Ro’is Adin Saf
Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer Vol 13, No 1 (2018): Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.872 KB) | DOI: 10.30872/jim.v13i1.648

Abstract

Kegiatan ekstrakurikuler merupakan suatu bagian internal dari proses belajar yang menekankan pada kebutuhan siswa. Kegiatan ekstrakurikuler dapat menjadi sarana untuk menyalurkan bakat dan mendorong perkembangan potensi pada anak didik agar mencapai taraf maksimum. Banyaknya kegiatan ekstrakurikuler yang ada pada sekolah tersebut membuat siswa sulit untuk menentukan kegiatan ekstrakurikuler apa yang harus diikuti, sehingga tidak jarang siswa tersebut salah memilih ekstrakurikuler dan tidak sesuai dengan potensi yang mereka miliki. Salah satu solusi untuk membantu para siswa dalam memilih kegiatan ekstrakurikuler adalah dengan menggunakan sistem pendukung keputusan pemilihan kegiatan ekstrakurikuler dengan Metode Simple Multy Atribute Rating Technique (SMART). Metode SMART yang digunakan pada pembuatan sistem pendukung keputusan kegiatan ekstrakurikuler ini  telah mampu menjawab masalah yang ada dengan adanya respon dari responden sebesar 83,415% sangat setuju bahwa sistem ini mampu membantu siswa dalam memilih kegiatan ekstrakurikuler.
PEMANFAATAN PROCESS MINING PADA E-COMMERCE Wawan Yunanto; Kartina Diah KW
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 1 (2015): Informatika Dalam Pengelolaan Sumber Daya Alam
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Organisasi menyimpan rekaman aktivitas proses bisnis yang terjadi pada proses di lapangan dalam log data dengan berbagai format. Rekaman aktivitas ini disimpan dalam rangka menghasilkan sebuah model proses bisnis berdasarkan aktivitas pengguna pada proses nyata di lapangan. Dari proses model yang dihasilkan dapat dilakukan analisis tentang kesesuaian antara proses bisnis yang terjadi pada proses nyata di lapangan dengan proses bisnis yang diharapakan oleh organisasi. Analisis ini disebut sebagai conformance checking yang bertujuan untuk mendeteksi deviasi yang terjadi antara proses bisnis yang diharapkan dengan proses bisnis dari proses nyata di lapangan dan sebaliknya. Suatu proses bisnis dikatakan sudah sesuai dengan regulasi (compliant) apabila tidak ada deviasi/nonconformance dalam eksekusinya dari proses bisnis yang telah didefinisikan mengikuti standar.
Aplikasi Pengenalan Nama Surah pada Juz ke 30 Kitab Suci Al-Qur’an Menggunakan Speech Recognition Dhimas Sena Rahmantara; Kartina Diah Kesuma Wardhani; Maksum Ro’is Adin Saf
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.425 KB) | DOI: 10.29207/resti.v2i1.285

Abstract

Al-Qur’an is a scripture which contains the saying of Allah Subhanahu Wa Ta’aala and was revealed to Prophet Muhammad. The 30th juz is the juz that exists in the Al-Qur’an. When studying how to read Al-Qur’an well, the first thing that is learned is reading and memorizing surahs in the 30th juz. Nevertheless, there is a problem in remembering or knowing the surah name and the verse which are in the 30th juz. An android application was developed in order to recognize the surah names in the 30th juz by utilizing speech recognition technology to overcome that problem. Markov Model (Markov Chain) algorithm was implemented in this application. This algorithm will process user’s speech and compute probability of the surah name that was spoken. Speech detection testing gave result that the highest accuracy of application in recognizing the speeches was in the environment without noise with the accuracy of 100% in the most ideal distance is 50 cm for male and for female user. Based on the blackbox testing result, all functionalities of the application have functionated well. Control flow testing gave result that the value is 7 which indicates that the code is simple and well written. 87,74% respondents answered, by filling up the questionnaires, that the application is useful in order to make user knows better about the surah names in the 30th juz.
PENGGUNAAN APLIKASI ZOOM MEETING UNTUK EFEKTIFITAS PEMBELAJARAN DARING PADA MADRASAH IBTIDAIYAH MUHAMMADIYAH 01 PEKANBARU Yuli Fitrisia; Kartina Diah Kusuma Wardhani; Mardhiah Fadhli; Wenda Novayani; Dini Nurmalasari; Sugeng Purwantoro ESGS; Memen Akbar
Jurnal Pengabdian Masyarakat Multidisiplin Vol 5 No 1 (2021): Oktober
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v5i1.2126

Abstract

The pandemic that has hit the world has forced us to do learning indirectly or is often referred to as online (Daring). Online teaching and learning process requires some adjustments both on the teacher's side and the student's side. One of the adjustments is the need to seek technology and adaptation using technology. The currently widely used technology is online meeting services, such as the Zoom Meeting application, Google Meet, Video Calling via the Massager application, or other similar applications. To adapt to the technology, teachers at Madrasah Ibtidaiyah Muhammadiyah 01 Pekanbaru strongly desire to deepen ownership of the Zoom application as one of the media used for online learning. This training aims to provide an understanding and hands-on practice of using Zoom Meeting technology to increase learning effectiveness.
Rancang Bangun Alat Pendeteksi Sampah Organik dan Anorganik Menggunakan Sensor Proximity dan NodeMCU ESP8266 Memen Akbar; Sri Devi Anjasmara; Kartina Diah K Wardhani
Jurnal Komputer Terapan  Vol. 7 No. 2 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (245.546 KB) | DOI: 10.35143/jkt.v7i2.5178

Abstract

Waste products are increasing every day in line with the increasing number of products and people's consumption patterns. Many people do not separate organic and inorganic waste during disposal. One of the reasons is that people cannot distinguish between organic and inorganic waste. Based on these problems, an Internet of Things-based tool was designed that uses NodeMCU ESP8266 as its microcontroller. To distinguish organic and inorganic waste, three sensors are used at once, namely proximity infrared, capacitive and inductive sensors. The data read by this tool then turns on the LED according to the type of trash can. In this study, a trash can was also designed that uses an ultrasonic sensor to detect the height of the garbage. This altitude information is then sent to a website-based monitoring application using a Wi-Fi network and the MQTT protocol. This application is used by cleaners to monitor which trash bins have to be transported. From the test results, the three proximity sensors used succeeded in distinguishing organic and inorganic waste. The recommended distance for the sensor to work optimally is 3 mm. The data obtained by the sorting tool has also been successfully sent to the waste height monitoring application. Officers get notifications on the website, which trash bins must be transported.
Perancangan Fuzzy Logic Model Sugeno untuk Wall Tracking pada Robot Pemadam Api Ari Azhar; Kartina Diah Kesuma W; Heri Subagiyo
Jurnal Elektro dan Mesin Terapan Vol. 1 No. 1 (2015): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.149 KB) | DOI: 10.35143/elementer.v1i1.12

Abstract

Robot pemadam api merupakan robot yang dibuat dengan tujuan memadamkan api pada daerah yang sulit untuk dijangkau manusia. Robot Pemadam Api harus memiliki kemampuan navigasi yang handal dalam menyelesaikan misinya dengan menerapkan metode yang baik. Terdapat beberapa metode navigasi pada Robot Pemadam Api, salah satunya wall tracking. Pada makalah ini dipaparkan penerapan kendali fuzzy logic untuk metode navigasi wall tracking. Dalam proses pengujian terdapat keterlambatan respon pada fuzzy logic, namun dapat diatasi dengan melakukan perhitungan fuzzy logic diluar sub program navigasinya. Dengan cara demikian robot yang menerapkan fuzzy logic untuk wall tracking mencatatkan waktu rata-rata memadamkan api dan kembali ke home sebesar 66,7 detik untuk start di lorong dan 36,5 detik untuk start di ruang 1 pada sampling jarang dan robot mencatatkan waktu 63,4 detik untuk start di lorong dan 34,9 detik untuk start di ruang 1 pada sampling rapat. Catatan waktu tersebut lebih kecil jika dibandingkan dengan robot yang tidak menerapkan fuzzy logic untuk wall tracking yang mencatatkan waktu sebesar 78,1 detik untuk start di lorong dan 44,8 detik untuk start di ruang 1.
Heuristics Miner for E-Commerce Visitor Access Pattern Representation Kartina Diah Kesuma Wardhani; Wawan Yunanto
Communications in Science and Technology Vol 2 No 1 (2017)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.2.1.2017.21

Abstract

E-commerce click stream data can form a certain pattern that describe visitor behavior while surfing the e-commerce website. This pattern can be used to initiate a design to determine alternative access sequence on the website. This research use heuristic miner algorithm to determine the pattern. σ-Algorithm and Genetic Mining are methods used for pattern recognition with frequent sequence item set approach. Heuristic Miner is an evolved form of those methods. σ-Algorithm assume that an activity in a website, that has been recorded in the data log, is a complete sequence from start to finish, without any tolerance to incomplete data or data with noise. On the other hand, Genetic Mining is a method that tolerate incomplete data or data with noise, so it can generate a more detailed e-commerce visitor access pattern. In this study, the same sequence of events obtained from six-generated patterns. The resulting pattern of visitor access is that visitors are often access the home page and then the product category page or the home page and then the full text search page.
Penguatan Komunikasi Efektif Guru dalam Proses Pembelajaran di SMK Taruna Persada Dumai Sugeng Purwantoro E.S.G.S; Memen Akbar; Kartina Diah Kusuma Wardhani; Mardhiah Fadhli; Yuli Fitrisia
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 3 (2022): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v6i3.10006

Abstract

One of the initial approaches to make learning more enjoyable is to know the patterns of social interaction and types of student communication. There are 3 types of social interaction patterns presented in this training, namely interactions between individuals who wish to achieve achievement (Achievement), desire to socialize with their social environment (Affiliation), and desire to power (Power). Teachers can communicate effectively with students if the teacher knows the type of communication used by students. There are 4 types of individual communication types with their environment. Some communicate concretely, spontaneously, intellectually, and sensitively. Community Service activities carried out are training for teachers to recognize the types of student social interactions and types of student communication. The training was carried out by introducing the two instruments that had been made. The training was held for 1 day offline at SMK Taruna Persada Dumai. Based on the feedback provided by the participants, the teacher felt the benefits of the training and was willing to apply the results of the training to students in the classroom.
Co-Authors Akbar, Memen Ari Azhar Cakra Ramadhana Dhimas Sena Rahmantara Heri Subagiyo Maksum Ro’is Adin Saf Maksum Ro’is Adin Saf Mardhiah Fadhli, Mardhiah Nurmalasari, Dini Sri Devi Anjasmara Sugeng Purwantoro E.S.G.S Tisa Magrisa Wawan Yunanto Wenda Novayani Yohana Dewi Lulu Widyasari Yuli Fitrisia