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All Journal IPTEK The Journal for Technology and Science TELKOMNIKA (Telecommunication Computing Electronics and Control) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer ABSYARA: Jurnal Pengabdian Pada Masyarakat Bulletin of Computer Science Research JUSTIN (Jurnal Sistem dan Teknologi Informasi) eProceedings of Engineering Jurnal Aplikasi dan Riset Informatika
Desepta Isna Ulumi
Universitas Tanjungpura, Pontianak, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Other

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Sentence Extraction Based on Sentence Distribution and Part of Speech Tagging for Multi-Document Summarization Agus Zainal Arifin; Moch Zawaruddin Abdullah; Ahmad Wahyu Rosyadi; Desepta Isna Ulumi; Aminul Wahib; Rizka Wakhidatus Sholikah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 2: April 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i2.8431

Abstract

Automatic multi-document summarization needs to find representative sentences not only by sentence distribution to select the most important sentence but also by how informative a term is in a sentence. Sentence distribution is suitable for obtaining important sentences by determining frequent and well-spread words in the corpus but ignores the grammatical information that indicates instructive content. The presence or absence of informative content in a sentence can be indicated by grammatical information which is carried by part of speech (POS) labels. In this paper, we propose a new sentence weighting method by incorporating sentence distribution and POS tagging for multi-document summarization. Similarity-based Histogram Clustering (SHC) is used to cluster sentences in the data set. Cluster ordering is based on cluster importance to determine the important clusters. Sentence extraction based on sentence distribution and POS tagging is introduced to extract the representative sentences from the ordered clusters. The results of the experiment on the Document Understanding Conferences (DUC) 2004 are compared with those of the Sentence Distribution Method. Our proposed method achieved better results with an increasing rate of 5.41% on ROUGE-1 and 0.62% on ROUGE-2.
Weighted k Nearest Neighbor Using Grey Relational Analysis To Solve Missing Value Desepta Isna Ulumi; Daniel Siahaan
IPTEK The Journal for Technology and Science Vol 29, No 3 (2018)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.699 KB) | DOI: 10.12962/j20882033.v29i3.5011

Abstract

Software defect prediction model is an important role in detecting the most vulnerable component error software. Some research have been worked to improve the accuracy of the prediction defects of the software in order to manage human, costs and time. But previous research used specific dataset for software defect prediction model. However, there is no a generic dataset handling for software defect prediction model yet. This research proposed improvements to the results of the software defect prediction on the merged dataset, which is called generic dataset, with a number of different features. In order to balance the number of features, each dataset should be filled with a missing value. To fill the missing values, Weighted k Nearest Neighbor (WkNN) method was used. Then, after missing values were filled, Naïve Bayes was used to classify the selected features. This research needed to obtain a set of features which was relevant, then performed a feature selection method. The results showed that by using seven NASA public MDP datasets, Naïve Bayes with Information Gain (IG) or Symmetric Uncertainty (SU) feature selection presented the best balance value.Software defect, NASA public MDP, weighted KNN,Naive Bayes
Audit Tenoss Menggunakan Cobit 5 Pada Domain Deliver, Service And Support (dss) Desepta Isna Ulumi; Eko Darwiyanto; Yanuar Firdaus
eProceedings of Engineering Vol 2, No 2 (2015): Agustus, 2015
Publisher : eProceedings of Engineering

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

Abstract

Abstrak TeNOSS (Telkom National Operation Support System) merupakan objek di PT Telekomunikasi Indonesia Tbk yang berperan sebagai monitoring terhadap peningkatan pelayanan kepada pelanggan. Semua data pelanggan masuk dalam TeNOSS baik alamat, nomor telepon dan menggunakan produk Telkom apa saja pelanggan tersebut. Sehingga di dalam TeNOSS terdapat banyak data yang diolah. Pengelolaan TeNOSS memerlukan audit untuk mengevaluasi, mengukur kualitas dan memberi rekomendasi agar sesuai dengan tujuan organisasi. Dalam penelitian ini menggunakan framework COBIT 5 pada domain Deliver, Service and Support (DSS). Berdasarkan hasil mapping strategi bisnis yang didapatkan dari rencana strategi bisnis PT Telkom dipetakan ke dalamm Enterprise Goal dan IT Related Goal COBIT 5, didapatkan 3 proses untuk dinilai yaitu DSS02, DSS05, dan DSS06. Hasil penilaian menunjukkan DSS02 dan DSS06 berada pada level 3 yaitu established di mana level 2 kini diimplementasikan menggunakan proses didefinisikan yang mampu mencapai hasil prosesnya. Sedangkan DSS02 berada pada level 2 yaitu managed di mana level 1 kini diimplementasikan dalam model yang terkelola (direncanakan, dimonitor dan disesuaikan) dengan kinerja produk tepat didirikan, dikendalikan, dan dipelihara. Diharapkan dapat mencapai target optimalnya pada level 4 untuk DSS02 dan DSS06, sedangkan level 3 untuk DSS05. Kata Kunci : Audit, TeNOSS, COBIT 5, domain DSS.
Incorporating User Experience Evaluation into Application Design for Optimal Usability Helen Sastypratiwi; Yulianti Yulianti; Hafiz Muhardi; Desepta Isna Ulumi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 3 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i3.2793

Abstract

Forest and land fires have become a national issue every year, especially in West Kalimantan. From 2015 to 2020, around 331,268.35 hectares of forest and land were burned in West Kalimantan. As a result of forest and land fires, the haze disrupts public health, the economy, and river, land, sea, and air transportation. As anticipation and prevention, the community and government monitor forest and land fires using the Forest Fire Monitoring System Application. The purpose of this study was to the User Experience (UX) evaluation for design improvement in the Forest Fire Monitoring System Application (SIPONGI) inWest Kalimantan. The method used was User Centered Design (UCD) and Website Usability Evaluation Tool (WEBUSE) to provide new design solutions in the form of a website prototype. The research methodology included a literature study of the SIPONGI application. The study used a sample of 25 respondents with different work backgrounds to represent the population using the SIPONGI application. The results of this study showed that usability points per attribute and category are superior after making UI/UX improvements using the UCD process in prototype form. In conclusion, using the UCD method is better if it is accompanied by the WEBUSE method in improving the design of an application.
Web Service pada Sistem Curriculum Vitae (CV) Dosen Terintegrasi Berbasis Arsitektur REST API Ulumi, Desepta Isna; Perwitasari, Anggi
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 12, No 2 (2024)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v12i2.78344

Abstract

Software called web services serves as a connector that allows various systems to communicate with each other without being affected by platform differences and without connecting directly to a database. Web services allow existing services on the old system to communicate with the new system without changing either. In this research, we will explain the development of a web service that can integrate several websites in the Untan Information System (Tanjungpura University), namely SIAKAD (Digital Media for Academic Guidance, Monitoring and Assessment Services), SPOTA (Final Project Outline Support System) and SIMLPPM (System Management Information for Research and Community Service Institutions) so that the data contained in the three information systems can match each other in real time. In addition, this research uses REST API (Representational State Transfer Application Programming Interface) technology for data exchange. System testing uses black box testing which tests twelve menu features and seven submenus showing that the features can run well as well as the User Acceptance Test (UAT) which shows results of 89.89%. Test results show that the system is well received by users. It is hoped that with this system lecturers will automatically have a CV that is updated every year, according to data that has been input into other systems owned by Untan, so that CV documents can be produced for research needs, community service and so on. fast, efficient and error free. input data.
An Interactive Mobile Application for Gardening Education and Community Empowerment Developed Using the Waterfall Method Ulumi, Desepta Isna; Perwitasi, Anggi; Azalia, Clara Oxana; Hadiasmah, Anaqah Aisyah; Montass, Requestha Amorine
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.468

Abstract

Indonesia is currently facing a food crisis exacerbated by climate change, which disrupts agricultural patterns and causes crop failures. These disruptions lead to increased food prices and reduced purchasing power, particularly affecting the lower-income population. One sustainable solution is home gardening, which can enhance food availability and reduce household expenses. However, not everyone has the knowledge or resources to start gardening. To address this gap, the PANENKU application was developed as a mobile-based platform aimed at educating users on how to grow essential food crops such as chilies, shallots, and ginger. PANENKU integrates interactive learning through simulation games that guide users step-by-step, from planting to harvesting. The application leverages the Waterfall development model for systematic design and includes features such as AR (Augmented Reality) experiences, informative articles, and a community forum. These elements foster engagement, support peer-to-peer learning, and enhance users gardening knowledge. By incorporating educational gameplay and expert interaction, PANENKU not only supports individual self-sufficiency but also promotes environmental sustainability and strengthens local economies. System testing using black box testing which tests four features shows that the features can run well and the System Usability Scale (SUS) shows a result of 86%. The results of this test show that the app is particularly beneficial for housewives and beginner gardeners, offering an innovative and accessible approach to addressing food security challenges in Indonesia. Ultimately, PANENKU aspires to be a positive, inclusive platform for agricultural education and community empowerment.
Perbandingan Algoritma Support Vector Machine (SVM) dan Naive Bayes pada Analisis Sentimen Bahasa Jawa dan Sunda Putri, Galuh Kusuma; Sujaini, Herry; Ulumi, Desepta Isna
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 13, No 2 (2025)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v13i2.88285

Abstract

Perbedaan  struktur  kalimat,  pilihan  kata, dan  tingkatkesopanan  dalam  Bahasa Jawa dan Sunda  dibandingkan  dengan  Bahasa Indonesia  membuat  analisis  sentimenmenjadi  lebih  kompleks.  Karakteristik  unik  kedua  bahasaini  sering  kali  sulit  dipahami,  terutama  bagi  bukan  penuturaslinya,  sehingga  metode  pemrosesan  teks  yang  umumdigunakan  untuk  Bahasa Indonesia  tidak  selalu  efektif.  Oleh  karena  itu,  diperlukan  pendekatan  yang  dapatmengklasifikasikan  sentimen  teks  berbahasa  daerah  ini,  apakah  bersifat  positif,  negatif,  atau  netral,  gunameningkatkan  pemahaman  terhadap  opini  masyarakat  sertamemperluas  aksesibilitas  informasi.  Mengingat  tantangantersebut,  penelitian  ini  berfokus  pada  eksplorasi  metodeklasifikasi  yang  dapat  secara  efektif  menanganikarakteristik  unik  dari  Bahasa Jawa dan Sunda  dalamanalisis  sentimen.  Untuk  itu,  penelitian  ini  bertujuanmelakukan  perbandingan  antara  algoritma  Support Vector Machine  (SVM) dan  Naive Bayes  guna  menentukanpendekatan  yang paling  sesuai  dalam  mengklasifikasikansentimen  teks  pada  kedua  bahasa  ini.  SVM  mencari  garis  pemisah  terbaik  untuk  mengklasifikasikan  data,  sedangkanNaive Bayes  menggunakan  perhitungan  probabilitasberdasarkan  pola  kata yang  muncul.  Dalam  penelitian  iniekstraksi  fitur  dilakukan  menggunakan  TF-IDF  dan  seleksifitur  menggunakan  Chi-Square. Data yang  digunakan  dariIndonesian NLP data catalogue  yang  terdata  mulai  daritahun  2020-2023.  Hasil  penelitian  menunjukkan  bahwametode  klasifikasi  Support Vector Machine  (SVM)  lebihbaik  dari  pada  Naive Bayes  di  kedua  bahasa.  SVM  mendapatkan  akurasi  pada Bahasa Jawa  sebesar  76% dan Bahasa Sunda  sebesar  80%  sedangkan  Naive Bayes  pada Bahasa Jawa  sebesar  73% dan Bahasa Sunda  sebesar  77%. SVM  menjadi  metode  terbaik  dalam  penelitian  ini  karenamenunjukkan  performa  yang  lebih  baik  pada  kedua  bahasadibandingkan  Naive Bayes.
Meningkatkan efektivitas pembelajaran di era digital melalui pelatihan pengembangan video pembelajaran interaktif Ulumi, Desepta Isna; Sujaini, Herry; Perwitasari, Anggi; Novriando, Haried
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 4 No 2 (2023): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v4i2.24251

Abstract

Effective teaching in the digital era poses a major challenge in education, especially in elementary schools. This study highlights the importance of interactive learning media in enhancing teaching quality. Utilizing methods of presentation, discussion, and mentoring, this training targeted 50 elementary school teachers at SDN 39 and SDN 08 Sungai Kakap. The main focus was on creating educational videos using Microsoft PowerPoint, a software commonly used by teachers. The training content included the definition of educational videos, steps in video creation, tips for making engaging videos, and using PowerPoint for educational purposes. Pre-tests and post-tests were conducted to measure participants' understanding before and after the training. Results showed a significant improvement in understanding and skills in creating educational videos, with average pre-test scores rising from 54 to 93 in post-tests. Participants realized that PowerPoint is not only for presentations but also an effective tool for creating engaging and efficient educational videos. This research affirms that technology-based interactive learning, such as PowerPoint educational videos, enhances teachers' enthusiasm and student engagement, and supports teaching effectiveness in elementary schools. The main conclusion is that educational technology training like this is crucial for enhancing teachers' creativity and the quality of learning in the digital era.
Sistem Informasi Tazakka Resto Berbasis Website (Studi Kasus: Tazakka Resto) Regi, Fransiskus; Yulianti, Yulianti; Ulumi, Desepta Isna
Jurnal Aplikasi dan Riset Informatika Vol 2, No 2 (2024)
Publisher : Jurnal Aplikasi dan Riset Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/juara.v2i2.84879

Abstract

Sistem informasi Tazakka Resto merupakan aplikasi berbasis webite yang mencakup proses pencatatan dan pelaporan data penjualan. Sistem ini berfungsi untuk menyelesaikan masalah terkait pencatatan, perhitungan, dan pembuatan laporan. Saat ini Tazakka Resto sering kali menghadapi masalah dalam pencatatan pesanan, pencatatan stok, dan pelaporan. Sistem yang digunakan di Tazakka Resto saat ini masih sederhana misalnya, pemesanan dimasukkan dan dicetak sebagai nota di bagian kasir, pelaporan menu yang telah berkurang dan perlu ditambahkan masih dilakukan secara manual, serta data penambahan menu yang diperbarui setiap tiga jam sekali dengan tulisan tangan. Akibatnya, proses pelaporan penjualan, pencatatan stok, dan pencatatan pesanan menjadi tidak efektif dan efisien. Oleh karena itu, diperlukan sebuah sistem informasi berbasis website yang menyediakan informasi tentang pencatatan pesanan, pencatatan stok, dan pelaporan di Tazakka Resto. Sistem yang dirancang ini menggunakan metode SDLC dengan pendekatan model prototipe serta perancangan sistem dengan pemodelan Unified Modelling Language (UML). Keberhasilan penelitian diuji menggunakan pengujian black box. Hasil pengujian menunjukkan hasil positif, di mana proses yang ditampilkan sesuai dengan harapan dan aplikasi berjalan dengan baik.
Co-Authors Agus Zainal Arifin Aminul Wahib Anggi Perwitasari Azalia, Clara Oxana Daniel Oranova Siahaan Eko Darwiyanto Hadiasmah, Anaqah Aisyah Hafiz Muhardi Haried Novriando Helen Sastypratiwi Herry Sujaini Moch Zawaruddin Abdullah Montass, Requestha Amorine Putri, Galuh Kusuma Regi, Fransiskus Rizka Wakhidatus Sholikah Rosyadi, Ahmad Wahyu Yanuar Firdaus Yulianti Yulianti Yulianti Yulianti