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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer International Journal of Natural Science and Engineering JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Ni Wayan Wardani
STMIK STIKOM Indonesia
Computer Science & IT Dentistry Education Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Analisa Penyebab Kerusakan Tanaman Cabai Menggunakan Metode K-Means Darmansah Darmansah; Ni Wayan Wardani
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 2 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v7i2.309

Abstract

Pepper plants are agricultural commodities in need in everyday life today, because the plant has many uses. In addition, the chili plant is a plant that was a high economical value. Some of the problems in controlling diseases and pests, among others, are early symptoms that are not clearly visible so that farmers and communities find it difficult to detect the causes of damage that attacks the chilli plants, causing farmers to experience a decrease in crop production and even cause crop failure. The method used in solving this problem is the K-means Algorithm. This K-Means clustering algorithm is a method that attempts to classify existing data into several groups, where data in one group has the same characteristics with each other and has different characteristics from the data in other groups. Chilli data processed in this study was sourced from the working area of ​​the Horticulture and Plantation Food Crops Office of West Sumatra Province with a total of 11 pieces of data. Furthermore, the data is processed using rapidminer studio 7.6 software. The results of the testing of this method there are three grouping causes of damage to plants, namely C0 for chili species with moderate damage, C1 for heavy damage and C2 for mild damage. Then the results of each cluster, namely C0 there is one type of pest, namely Fruit Fly, C1 there are 3 types of pests which consist of Yellow Virus, Anthracnose and Thrips, while C2 there are 7 types of pests consisting of aphids, mites, Fusarium wilt, Layu Bakeri, Curly Virus, Mati Pucuk, Puru fruit. This analysis is expected to make it easier for farmers to know the causes of damage to chili plants or related agencies can take action to anticipate the causes of damage to chili plants as quickly as
PERANCANGAN SISTEM INFORMASI PENGOLAHAN JADWAL MATA PELAJARAN SISWA SECARA ONLINE DI SMPN 31 PADANG BERBASIS WEB Khairunisa Samosir; Darmansah Darmansah; Ni Wayan Wardani
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 3 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v7i3.490

Abstract

Today is the era of global information technology, where everything is done practically, accurately and up to date with information obtained from anywhere and anytime. Currently scheduling lessons at SMP NEGERI 31 Padang is still done manually by the curriculum section, with previously held a task division meeting with subject teachers. From determining the number of classes, the number of teachers in the school and the number of teaching hours for each teacher are still done manually. The allocation and determination of teachers is an important element in the preparation of subject schedules, but is also a common problem in the schedule preparation process. By building a web-based information system with PHP and MySql programming languages ​​and system modeling using UML (Unified Modeling Language), it is hoped that it can facilitate data processing for students, teachers, and student subject schedules so that fast, precise and accurate results can be obtained at SMP NEGERI 31. Padang.
STEMMING DOKUMEN TEKS BAHASA BALI DENGAN METODE RULE BASE APPROACH Putu Gede Surya Cipta Nugraha; Ni Wayan Wardani
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 3 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v7i3.538

Abstract

The Balinese are one of the ethnic groups of Indonesia, the majority of which are on the island of Bali, the language used is Balinese with three levels of sor-singgih (tigang soroh) guidelines, namely Basa Kasar, Basa Madia and Basa Alus. Balinese language also has the additions of pangater, seselan and pangiring. To facilitate the search for basic words in Balinese, a stemming process is needed. Stemming is the process of mapping and decomposing the form of a word into its basic form. The stemming process is very important in the information retrieval system process. In this study, the Balinese stemming process used the Rule Base Approach method. The data used in this study are 376 basic words in Balinese. This study aims to design an appropriate stemming application for Balinese stemming. The initial stage in the Balinese stemming process is to carry out the input process, preprocessing, filtering, case folding and tokenization. Each word is subjected to a stemming process to remove the additions of pangater, seselan, and pangiring. The results of the study indicate that the Rule Base Approach method can be used to stem Balinese texts, this can be seen from the results of the accuracy reaching 77.82%. Of course, in testing there are still failures caused by overstemming errors resulting from the stemming process.
Analisis Pesebaran Penularan Virus Corona di Provinsi Jawa Tengah Menggunakan Metode K-Means Clustering Darmansah Darmansah Darmansah; Ni Wayan Wardani
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 1 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i1.590

Abstract

Currently the corona virus or Covid-19 has developed rapidly and it has been reported that almost all over the world have been exposed to the transmission of the corona virus. Covid-19 has claimed thousands of human lives in China in just 3 months. This virus has even spread to other countries such as Italy, Iran, South Korea, England, Japan, America, Germany, and even in Indonesia. One of the provinces in Indonesia that has contracted the corona virus is the province of Central Java (Prov. Central Java). This corona virus has spread in various districts and cities in Central Jawah. There are 35 districts / cities in Central Java that have contracted the corona virus. To make it easier for the Central Java regional government to take measures to prevent the spread of the corona virus, it is necessary for researchers to determine the level of spread of the corona virus which is divided into three clusters. The first cluster is C0 with a low category, C1 with a medium category and C2 with a high spread category. In the analysis of the spread of the corona virus, the researchers used data mining methods and the K-Means Clustering algorithm to classify the distribution data. Then in data processing researchers use the Rapidminer Studio 7.6 application. From the results of the study, it was found that C0 there were 18 cities / districts, C1 there were 1 city / regency and C2 there were 16 cities / districts where the spread of the corona virus was in Central Java province.
PERANCANGAN ABSENSI BERBASIS FACE RECOGNITION PADA DESA SOKARAJA LOR MENGGUNAKAN PLATFORM ANDROID Darmansah Darmansah Darmansah; Ni Wayan Wardani; M Yoka Fathoni
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 1 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i1.629

Abstract

The development of technology is currently very fast in various fields of human life. One of the uses of technology is in the field of attendance. Attendance is the most important part in an institution, both education, health, offices and government agencies in supporting monitoring of employees' daily attendance. Sokaraja Lor Village is a village located in Sokaraja District, Kab. Banyumas, Central Java. Currently the attendance process at the Sokaraja Lor village office is still using Pinjer Print and also using notes using a ledger. The use of this print pin is considered ineffective because if the village employee's hands are wet, or injured, attendance cannot be done and this is also a risk that village employees can leave absences to other employees. Seeing this, the researchers designed an attendance system based on Face Recognition using the Android platform. Face recognition-based attendance is attendance which is done using the detection of human face parts. Then in designing the face recognition-based attendance system, the researchers used a system modeling with Undifinied Modeling Language (UML). With the construction of this attendance system, Sokaraja Lor Village can make attendance easier in every condition because it is based on Android, then in recapitulating the list of employees who are present, the village government is easier because it has been stored in a database.
Pelatihan Aplikasi Mendeley untuk Referensi dalam Menulis Karya Ilmiah Bagi Guru SMK Dwijendra Denpasar Ni Wayan Wardani; Ni Luh Wiwik Sri Rahayu Ginantra
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol 1 No 1 (2020)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v1i1.279

Abstract

Guru saat ini dituntut untuk menjadi guru yang professional. Disamping menjalankan tugas pokoknya, seorang guru dituntut untuk memiliki ketrampilan menulis karya ilmiah sebagai salah satu syarat kenaikan pangkat. Akan tetapi pada kenyataannya masih banyak guru yang memiliki ketrampilan yang minim dalam menulis karya ilmiah. Salah satu ketrampilan yang masih jarang mereka miliki adalah ketrampilan dalam membuat daftar pustaka dan sitasi. Kegiatan pengabdian ini bertujuan untuk memberikan pelatihan penggunaan software Mendeley untuk referensi dalam menulis karya ilmiah di SMK Dwijendra Denpasar. Metoda yang digunakan pada kegiatan pengabdian ini adalah ceramah, diskusi, tanya jawab, pendampingan selama pelatihan dan praktek langsung menggunakan software Mendeley. Hasil dari kegiatan pengabdian ini menunjukkan bahwa peserta memiliki pemahaman materi dan kemampuan untuk membuat referensi dengan baik dengan bantuan software Mendeley
Pelatihan Mengaktifkan Pembelajaran Daring dengan Memanfaatkan Aplikasi Mentimeter, Whatsapp dan Pembuatan Video Pembelajaran untuk Inovasi Mengajar dengan Keterbatasan Bandwidth Internet Ni Wayan Wardani; I Gede Andika
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol 2 No 2 (2021)
Publisher : Politeknik Dharma Patria

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v2i2.607

Abstract

Pandemi Covid-19 telah membuat banyak perubahan di segala bidang termasuk Pendidikan. Pandemi telah memaksa para Guru untuk mengadakan kegiatan belajar mengajar secara. Banyak aplikasi yang dapat dimanfaatkan sebagai media belajar tetapi tidak semua aplikasi tersebut dapat dijalankan dengan baik di tengah keterbatasan bandwidth internet terutama di daerah pedesaan dan terpencil. Hal tersebut menuntut Guru untuk berinovasi dalam mengajar. Sebagai salah satu kampus IT di Bali, STMIK STIKOM Indonesia melihat fenomena tersebut dan ingin memiliki peran dalam memberikan pemahaman dan mengedukasi seluruh civitas akademika terkait inovasi dalam pembelajaran daring di tengah keterbatasan dengan memberikan pelatihan bagaimana memanfaatkan aplikasi Mentimeter, Whatsapp dan Pembuatan Video Pembelajaran. Dari jumlah peserta dan hasil kuisioner menunjukkan pelaksanaan kegiatan pengabdian ini mendapat respon positif dan antusias luar biasa dari para Guru selaku peserta.
Rapid Application Development untuk Sistem Informasi Payroll berbasis Web Ni Wayan Sumartini Saraswati; Ni Wayan Wardani; Ketut Laksmi Maswari; I Dewa Made Krishna Muku
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 20 No 2 (2021)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (983.871 KB) | DOI: 10.30812/matrik.v20i2.950

Abstract

Pertambahan jumlah karyawan Sekolah Tinggi Manajemen Informatika dan Komputer / STMIK STIKOM Indonesia disertai dengan segala perubahan data di dalamnya menyebabkan perlu usaha ekstra dalam menyusun daftar gaji tiap bulannya. Adanya sistem informasi penggajian diyakini dapat membuat penyusunan daftar gaji menjadi lebih efektif dan efisien. dalam penelitian ini dilakukan pengembangan sistem informasi payroll berbasis website yang sesuai dengan proses bisnis di STMIK STIKOM Indonesia. Metode pengembangan perangkat lunak Rapid Application Development / RAD dipilih karena metode ini cocok dengan target waktu pengembangan aplikasi yang singkat. Berdasarkan pengujian fungsionalitas sistem menggunakan metode blackbox testing diperoleh kesimpulan bahwa sistem yang dikembangkan telah mampu memenuhi kebutuhan fungsional sistem dengan baik.
COVID-19 Chest X-Ray Detection Performance Through Variations of Wavelets Basis Function I Gusti Ayu Agung Diatri Indradewi; Ni Wayan Sumartini Saraswati; Ni Wayan Wardani
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 1 (2021)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (493.383 KB) | DOI: 10.30812/matrik.v21i1.1089

Abstract

Our previous work regarding the X-Ray detection of COVID-19 using Haar wavelet feature extraction and the Support Vector Machines (SVM) classification machine has shown that the combination of the two methods can detect COVID-19 well but then the question arises whether the Haar wavelet is the best wavelet method. So that in this study we conducted experiments on several wavelet methods such as biorthogonal, coiflet, Daubechies, haar, and symlets for chest X-Ray feature extraction with the same dataset. The results of the feature extraction are then classified using SVM and measure the quality of the classification model with parameters of accuracy, error rate, recall, specification, and precision. The results showed that the Daubechies wavelet gave the best performance for all classification quality parameters. The Daubechies wavelet transformation gave 95.47% accuracy, 4.53% error rate, 98.75% recall, 92.19% specificity, and 93.45% precision.
Analisa Komparasi Algoritma Decision Tree C4.5 dan Naïve Bayes untuk Prediksi Churn Berdasarkan Kelas Pelanggan Retail Ni Wayan Wardani; Ni Kadek Ariasih
International Journal of Natural Science and Engineering Vol. 3 No. 3 (2019): October
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (894.76 KB) | DOI: 10.23887/ijnse.v3i3.23113

Abstract

Pelanggan adalah salah satu aset utama bagi perusahaan ritel. Perusahaan harus dapat mengenali bagaimana karakter pelanggan mereka sehingga mereka dapat mempertahankan pelanggan yang sudah ada agar tidak berhenti membeli dan pindah ke perusahaan ritel yang bersaing (churn). Salah satu model yang tepat untuk mengenali karakter pelanggan adalah model RFM (Recency, Frekuensi, Moneter). Model RFM mampu menghasilkan kelas pelanggan dan di setiap kelas pelanggan dapat dianalisis atau diprediksi dengan konsep data mining apakah pelanggan tetap sebagai pelanggan atau churn. Data yang digunakan berasal dari data pelanggan dan data penjualan di UD. Mawar Sari. Kelas pelanggan UD Mawar Sari yang dihasilkan dari model RFM adalah Dormant, Everyday, Golden dan Superstar. Konsep data mining dengan membangun model prediksi dalam penelitian ini menggunakan algoritma Decision Tree C4.5 dan Naïve Bayes. Di semua kelas pelanggan kinerja Algoritma Naïve Bayes lebih baik daripada Algoritma Decision Tree C4.5 dengan Recall 95,92%, Precision 84,15%, dan Accuracy 83,49% dan kelas pelanggan yang memiliki potensi churn tinggi adalah Dormant B, Dormant E, dan Dormant F.Kata Kunci: Prediksi Churn, RFM, C4.5, Naïve Bayes
Co-Authors Darmansah Gede Surya Mahendra I Dewa Made Krishna Muku I Gede Andika I Gusti Ayu Agung Diatri Indradewi Ketut Laksmi Maswari Khairunisa Samosir M Yoka Fathoni Ni Kadek Ariasih Ni Luh Wiwik Sri Rahayu Ginantra Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Putu Gede Surya Cipta Nugraha Saraswati, Ni Wayan Sumartini